[11-22 15:07:18] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True [11-22 15:07:20] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24 [11-22 15:07:20] (/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 : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : None acc_tail : None L_mean : None L_tail : None vacc_mean : None vacc_tail : None vL_mean : None vL_tail : None grad_norm : None cur_lr : None cur_wd : None cur_it : cur_ep : remain_time : finish_time : local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 commit_msg : add branch : main commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 } [11-22 15:07:20] (/home/user/VAR/train.py , line 42)=> [build PT data] ... [11-22 15:07:23] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000 [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [train] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [val] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256)) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt*.pth [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume quit] [11-22 15:07:23] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-22 15:07:18] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True [11-22 15:07:20] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24 [11-22 15:07:20] (/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 : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : None acc_tail : None L_mean : None L_tail : None vacc_mean : None vacc_tail : None vL_mean : None vL_tail : None grad_norm : None cur_lr : None cur_wd : None cur_it : cur_ep : remain_time : finish_time : local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 commit_msg : add commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 branch : main } [11-22 15:07:20] (/home/user/VAR/train.py , line 42)=> [build PT data] ... [11-22 15:07:23] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000 [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [train] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [val] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256)) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt*.pth [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume quit] [11-22 15:07:23] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-22 15:07:18] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True [11-22 15:07:20] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24 [11-22 15:07:20] (/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 : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : None acc_tail : None L_mean : None L_tail : None vacc_mean : None vacc_tail : None vL_mean : None vL_tail : None grad_norm : None cur_lr : None cur_wd : None cur_it : cur_ep : remain_time : finish_time : local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 branch : main commit_msg : add commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 } [11-22 15:07:20] (/home/user/VAR/train.py , line 42)=> [build PT data] ... [11-22 15:07:23] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000 [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [train] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [val] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256)) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt*.pth [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume quit] [11-22 15:07:23] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-22 15:07:18] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True [11-22 15:07:18] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True [11-22 15:07:20] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24 [11-22 15:07:20] (/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 : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : None acc_tail : None L_mean : None L_tail : None vacc_mean : None vacc_tail : None vL_mean : None vL_tail : None grad_norm : None cur_lr : None cur_wd : None cur_it : cur_ep : remain_time : finish_time : local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 commit_msg : add branch : main } [11-22 15:07:20] (/home/user/VAR/train.py , line 42)=> [build PT data] ... [11-22 15:07:23] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000 [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [train] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (e/user/VAR/utils/data.py, line 48)=> Transform [val] = [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256)) [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> ToTensor() [11-22 15:07:23] (e/user/VAR/utils/data.py, line 51)=> [11-22 15:07:23] (e/user/VAR/utils/data.py, line 54)=> --------------------------- [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt*.pth [11-22 15:07:23] (/home/user/VAR/train.py , line 65)=> [auto_resume quit] [11-22 15:07:23] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ... [dataloader multi processing](*) finished! (46.17s) [dataloader multi processing](*) finished! (48.66s) [11-22 15:08:09] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder') [11-22 15:08:12] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:12] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:13] (e/user/VAR/models/var.py, line 117)=> [constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ==== [VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0 [drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356, 0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667])) [dataloader multi processing](*) finished! (51.74s) [dataloader multi processing](*) finished! (54.53s) [11-22 15:08:11] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder') [11-22 15:08:16] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:16] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:17] (e/user/VAR/models/var.py, line 117)=> [constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ==== [VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0 [drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356, 0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667])) [11-22 15:08:15] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder') [11-22 15:08:19] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:19] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:21] (e/user/VAR/models/var.py, line 117)=> [constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ==== [VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0 [drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356, 0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667])) [11-22 15:08:17] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder') [11-22 15:08:22] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:22] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673]) [11-22 15:08:23] (e/user/VAR/models/var.py, line 117)=> [constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ==== [VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0 [drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356, 0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667])) [11-22 15:08:14] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422 [11-22 15:08:50] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule( (_orig_mod): VAR( drop_path_rate=0.0666667 (word_embed): Linear(in_features=28, out_features=1024, bias=False) (class_emb): Embedding(1001, 1024) (lvl_embed): Embedding(10, 1024) (shared_ada_lin): Identity() (blocks): ModuleList( (0): AdaLNSelfAttn( shared_aln=False (drop_path): Identity() (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) (1-15): 15 x AdaLNSelfAttn( shared_aln=False (drop_path): DropPath((drop_prob=...)) (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) ) (head_nm): AdaLNBeforeHead( (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=2048, bias=True) ) ) (head): Linear(in_features=1024, out_features=32768, bias=True) (projectors): ModuleList( (0): Sequential( (0): Linear(in_features=1024, out_features=2048, bias=True) (1): SiLU() (2): Linear(in_features=2048, out_features=2048, bias=True) (3): SiLU() (4): Linear(in_features=2048, out_features=768, bias=True) ) ) ) ) [11-22 15:08:50] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01 [11-22 15:08:50] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups = { 'D': { 'lr_sc': 1.0, 'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n" " '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n" " '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n" " '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n" " '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n" " '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n" " '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n" " '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n" " '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n" " '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n" " '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n" " '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n" " '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n" " '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n" " '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n" " '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n" " '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n" " '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')", 'wd_sc': 1.0}, 'ND': { 'lr_sc': 1.0, 'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n" " '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n" " '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n" " '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n" " '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n" " '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n" " '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n" " '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n" " '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n" " '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n" " '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n" " '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n" " '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n" " '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n" " '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n" " '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n" " '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n" " '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n" " '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n" " '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n" " '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')", 'wd_sc': 0.0}} [11-22 15:08:50] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank0] type(model).__name__='OptimizedModule' count=207, numel=347132928 [11-22 15:08:21] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422 [11-22 15:08:50] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule( (_orig_mod): VAR( drop_path_rate=0.0666667 (word_embed): Linear(in_features=28, out_features=1024, bias=False) (class_emb): Embedding(1001, 1024) (lvl_embed): Embedding(10, 1024) (shared_ada_lin): Identity() (blocks): ModuleList( (0): AdaLNSelfAttn( shared_aln=False (drop_path): Identity() (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) (1-15): 15 x AdaLNSelfAttn( shared_aln=False (drop_path): DropPath((drop_prob=...)) (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) ) (head_nm): AdaLNBeforeHead( (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=2048, bias=True) ) ) (head): Linear(in_features=1024, out_features=32768, bias=True) (projectors): ModuleList( (0): Sequential( (0): Linear(in_features=1024, out_features=2048, bias=True) (1): SiLU() (2): Linear(in_features=2048, out_features=2048, bias=True) (3): SiLU() (4): Linear(in_features=2048, out_features=768, bias=True) ) ) ) ) [11-22 15:08:50] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01 [11-22 15:08:50] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups = { 'D': { 'lr_sc': 1.0, 'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n" " '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n" " '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n" " '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n" " '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n" " '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n" " '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n" " '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n" " '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n" " '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n" " '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n" " '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n" " '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n" " '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n" " '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n" " '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n" " '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n" " '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')", 'wd_sc': 1.0}, 'ND': { 'lr_sc': 1.0, 'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n" " '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n" " '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n" " '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n" " '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n" " '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n" " '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n" " '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n" " '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n" " '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n" " '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n" " '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n" " '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n" " '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n" " '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n" " '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n" " '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n" " '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n" " '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n" " '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n" " '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')", 'wd_sc': 0.0}} [11-22 15:08:50] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank8] type(model).__name__='OptimizedModule' count=207, numel=347132928 [11-22 15:08:24] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422 [11-22 15:08:50] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule( (_orig_mod): VAR( drop_path_rate=0.0666667 (word_embed): Linear(in_features=28, out_features=1024, bias=False) (class_emb): Embedding(1001, 1024) (lvl_embed): Embedding(10, 1024) (shared_ada_lin): Identity() (blocks): ModuleList( (0): AdaLNSelfAttn( shared_aln=False (drop_path): Identity() (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) (1-15): 15 x AdaLNSelfAttn( shared_aln=False (drop_path): DropPath((drop_prob=...)) (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) ) (head_nm): AdaLNBeforeHead( (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=2048, bias=True) ) ) (head): Linear(in_features=1024, out_features=32768, bias=True) (projectors): ModuleList( (0): Sequential( (0): Linear(in_features=1024, out_features=2048, bias=True) (1): SiLU() (2): Linear(in_features=2048, out_features=2048, bias=True) (3): SiLU() (4): Linear(in_features=2048, out_features=768, bias=True) ) ) ) ) [11-22 15:08:50] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01 [11-22 15:08:50] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups = { 'D': { 'lr_sc': 1.0, 'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n" " '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n" " '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n" " '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n" " '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n" " '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n" " '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n" " '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n" " '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n" " '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n" " '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n" " '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n" " '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n" " '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n" " '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n" " '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n" " '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n" " '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')", 'wd_sc': 1.0}, 'ND': { 'lr_sc': 1.0, 'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n" " '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n" " '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n" " '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n" " '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n" " '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n" " '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n" " '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n" " '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n" " '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n" " '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n" " '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n" " '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n" " '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n" " '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n" " '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n" " '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n" " '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n" " '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n" " '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n" " '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')", 'wd_sc': 0.0}} [11-22 15:08:50] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank16] type(model).__name__='OptimizedModule' count=207, numel=347132928 [11-22 15:08:18] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422 [11-22 15:08:50] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule( (_orig_mod): VAR( drop_path_rate=0.0666667 (word_embed): Linear(in_features=28, out_features=1024, bias=False) (class_emb): Embedding(1001, 1024) (lvl_embed): Embedding(10, 1024) (shared_ada_lin): Identity() (blocks): ModuleList( (0): AdaLNSelfAttn( shared_aln=False (drop_path): Identity() (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) (1-15): 15 x AdaLNSelfAttn( shared_aln=False (drop_path): DropPath((drop_prob=...)) (attn): SelfAttention( (mat_qkv): Linear(in_features=1024, out_features=3072, bias=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Identity() ) (ffn): FFN( fused_mlp_func=False (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='tanh') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Identity() ) (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=6144, bias=True) ) ) ) (head_nm): AdaLNBeforeHead( (ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False) (ada_lin): Sequential( (0): SiLU() (1): Linear(in_features=1024, out_features=2048, bias=True) ) ) (head): Linear(in_features=1024, out_features=32768, bias=True) (projectors): ModuleList( (0): Sequential( (0): Linear(in_features=1024, out_features=2048, bias=True) (1): SiLU() (2): Linear(in_features=2048, out_features=2048, bias=True) (3): SiLU() (4): Linear(in_features=2048, out_features=768, bias=True) ) ) ) ) [11-22 15:08:50] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01 [11-22 15:08:50] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups = { 'D': { 'lr_sc': 1.0, 'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n" " '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n" " '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n" " '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n" " '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n" " '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n" " '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n" " '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n" " '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n" " '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n" " '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n" " '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n" " '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n" " '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n" " '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n" " '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n" " '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n" " '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')", 'wd_sc': 1.0}, 'ND': { 'lr_sc': 1.0, 'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n" " '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n" " '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n" " '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n" " '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n" " '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n" " '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n" " '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n" " '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n" " '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n" " '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n" " '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n" " '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n" " '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n" " '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n" " '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n" " '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n" " '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n" " '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n" " '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n" " '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n" " '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')", 'wd_sc': 0.0}} [11-22 15:08:50] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank24] type(model).__name__='OptimizedModule' count=207, numel=347132928 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 105)=> [11-22 15:08:50] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0} [11-22 15:19:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 12 days, 12:54:27 tlr: 1.2e-06 tnm: 0.18 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: -0.0000 (-0.0000) time: 649.0519 data: 0.0005 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 105)=> [11-22 15:08:50] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0} [11-22 15:19:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 12 days, 12:54:30 tlr: 1.2e-06 tnm: 0.18 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: 0.0010 (0.0010) time: 649.0536 data: 0.0005 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 105)=> [11-22 15:08:50] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0} [11-22 15:19:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 12 days, 12:54:32 tlr: 1.2e-06 tnm: 0.18 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.02 (0.02) Acct: 0.02 (0.02) proj_loss: -0.0002 (-0.0002) time: 649.0551 data: 0.0004 [11-22 15:08:50] (/VAR/utils/lr_control.py, line 105)=> [11-22 15:08:50] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0} [11-22 15:19:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 12 days, 12:31:17 tlr: 1.2e-06 tnm: 0.18 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0014 (0.0014) time: 648.2191 data: 0.0006 [11-22 15:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:44:14 tlr: 9.7e-06 tnm: 0.05 Lm: 9.701 (9.701) Lt: 9.701 (9.701) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.1179 (-0.1179) time: 0.3585 data: 0.0003 [11-22 15:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:44:17 tlr: 9.7e-06 tnm: 0.05 Lm: 9.702 (9.702) Lt: 9.702 (9.702) Accm: 0.00 (0.00) Acct: 0.01 (0.01) proj_loss: -0.1254 (-0.1254) time: 0.3585 data: 0.0003 [11-22 15:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:44:17 tlr: 9.7e-06 tnm: 0.05 Lm: 9.702 (9.702) Lt: 9.701 (9.701) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: -0.1203 (-0.1203) time: 0.3584 data: 0.0003 [11-22 15:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:44:17 tlr: 9.7e-06 tnm: 0.05 Lm: 9.701 (9.701) Lt: 9.701 (9.701) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.1212 (-0.1212) time: 0.3584 data: 0.0003 [11-22 15:26:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:17:17 tlr: 1.8e-05 tnm: 0.08 Lm: 9.698 (9.692) Lt: 9.698 (9.691) Accm: 0.02 (0.02) Acct: 0.02 (0.02) proj_loss: -0.2421 (-0.1867) time: 0.3588 data: 0.0003 [11-22 15:26:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:17:17 tlr: 1.8e-05 tnm: 0.08 Lm: 9.699 (9.693) Lt: 9.700 (9.692) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2507 (-0.1903) time: 0.3589 data: 0.0003 [11-22 15:26:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:17:17 tlr: 1.8e-05 tnm: 0.08 Lm: 9.700 (9.691) Lt: 9.699 (9.690) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2417 (-0.1871) time: 0.3589 data: 0.0003 [11-22 15:26:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:17:16 tlr: 1.8e-05 tnm: 0.08 Lm: 9.698 (9.691) Lt: 9.697 (9.690) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2371 (-0.1854) time: 0.3588 data: 0.0003 [11-22 15:28:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:06:35 tlr: 2.7e-05 tnm: 0.32 Lm: 9.685 (9.671) Lt: 9.683 (9.673) Accm: 0.02 (0.02) Acct: 0.02 (0.02) proj_loss: -0.2789 (-0.2200) time: 0.3610 data: 0.0002 [11-22 15:28:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:06:36 tlr: 2.7e-05 tnm: 0.32 Lm: 9.687 (9.673) Lt: 9.686 (9.675) Accm: 0.01 (0.01) Acct: 0.01 (0.01) proj_loss: -0.2795 (-0.2197) time: 0.3610 data: 0.0003 [11-22 15:28:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:06:36 tlr: 2.7e-05 tnm: 0.32 Lm: 9.684 (9.671) Lt: 9.683 (9.675) Accm: 0.00 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2779 (-0.2189) time: 0.3610 data: 0.0003 [11-22 15:28:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:06:36 tlr: 2.7e-05 tnm: 0.32 Lm: 9.685 (9.672) Lt: 9.685 (9.677) Accm: 0.02 (0.02) Acct: 0.03 (0.03) proj_loss: -0.2775 (-0.2182) time: 0.3610 data: 0.0003 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.90 Lm: 9.673 (9.647) Lt: 9.671 (9.656) Accm: 0.02 (0.02) Acct: 0.02 (0.02) proj_loss: -0.3129 (-0.2403) time: 0.3605 data: 0.0017 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.90 Lm: 9.674 (9.647) Lt: 9.672 (9.655) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.3082 (-0.2414) time: 0.3605 data: 0.0015 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.90 Lm: 9.669 (9.647) Lt: 9.668 (9.656) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.3141 (-0.2427) time: 0.3605 data: 0.0019 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:22:16 (0.801 s / it) [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.90 Lm: 9.672 (9.646) Lt: 9.669 (9.653) Accm: 0.02 (0.02) Acct: 0.00 (0.01) proj_loss: -0.3206 (-0.2408) time: 0.3605 data: 0.0016 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:22:16 (0.801 s / it) [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:22:16 (0.801 s / it) [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:22:15 (0.800 s / it) [11-22 15:31:07] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.647 (9.647), Lt: 9.656 (9.656), Acc m&t: 0.02 0.02, Remain: 2 days, 10:47:25, Finish: 2024-11-24 10:18 [11-22 15:31:07] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.647 (9.647), Lt: 9.656 (9.656), Acc m&t: 0.02 0.02, Remain: 2 days, 10:49:00, Finish: 2024-11-24 10:20 [11-22 15:31:07] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.647 (9.647), Lt: 9.656 (9.656), Acc m&t: 0.02 0.02, Remain: 2 days, 10:45:22, Finish: 2024-11-24 10:16 [11-22 15:31:07] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.647 (9.647), Lt: 9.656 (9.656), Acc m&t: 0.02 0.02, Remain: 2 days, 10:47:36, Finish: 2024-11-24 10:18 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:30 tlr: 3.5e-05 tnm: 0.68 Lm: 9.553 (9.553) Lt: 9.577 (9.577) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: -0.3254 (-0.3254) time: 0.3420 data: 0.0003 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:32 tlr: 3.5e-05 tnm: 0.68 Lm: 9.552 (9.552) Lt: 9.583 (9.583) Accm: 0.04 (0.04) Acct: 0.03 (0.03) proj_loss: -0.3314 (-0.3314) time: 0.3427 data: 0.0004 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:32 tlr: 3.5e-05 tnm: 0.68 Lm: 9.551 (9.551) Lt: 9.578 (9.578) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.3239 (-0.3239) time: 0.3432 data: 0.0004 [11-22 15:31:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:44 tlr: 3.5e-05 tnm: 0.68 Lm: 9.542 (9.542) Lt: 9.576 (9.576) Accm: 0.02 (0.02) Acct: 0.00 (0.00) proj_loss: -0.3291 (-0.3291) time: 0.3501 data: 0.0003 [11-22 15:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:28 tlr: 4.4e-05 tnm: 1.09 Lm: 9.502 (9.502) Lt: 9.540 (9.540) Accm: 0.03 (0.03) Acct: 0.01 (0.01) proj_loss: -0.3240 (-0.3240) time: 0.3583 data: 0.0003 [11-22 15:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:28 tlr: 4.4e-05 tnm: 1.09 Lm: 9.512 (9.512) Lt: 9.538 (9.538) Accm: 0.03 (0.03) Acct: 0.01 (0.01) proj_loss: -0.3289 (-0.3289) time: 0.3583 data: 0.0003 [11-22 15:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:28 tlr: 4.4e-05 tnm: 1.09 Lm: 9.505 (9.505) Lt: 9.540 (9.540) Accm: 0.05 (0.05) Acct: 0.06 (0.06) proj_loss: -0.3319 (-0.3319) time: 0.3583 data: 0.0002 [11-22 15:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:28 tlr: 4.4e-05 tnm: 1.09 Lm: 9.510 (9.510) Lt: 9.539 (9.539) Accm: 0.03 (0.03) Acct: 0.03 (0.03) proj_loss: -0.3275 (-0.3275) time: 0.3583 data: 0.0003 [11-22 15:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 4.32 Lm: 9.470 (9.411) Lt: 9.499 (9.449) Accm: 0.04 (0.06) Acct: 0.02 (0.03) proj_loss: -0.3323 (-0.3311) time: 0.3570 data: 0.0003 [11-22 15:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 4.32 Lm: 9.468 (9.424) Lt: 9.501 (9.463) Accm: 0.04 (0.05) Acct: 0.03 (0.04) proj_loss: -0.3264 (-0.3271) time: 0.3570 data: 0.0003 [11-22 15:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 4.32 Lm: 9.458 (9.414) Lt: 9.498 (9.459) Accm: 0.05 (0.07) Acct: 0.09 (0.07) proj_loss: -0.3314 (-0.3313) time: 0.3570 data: 0.0003 [11-22 15:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 4.32 Lm: 9.462 (9.406) Lt: 9.504 (9.451) Accm: 0.04 (0.06) Acct: 0.02 (0.05) proj_loss: -0.3188 (-0.3202) time: 0.3570 data: 0.0003 [11-22 15:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:30 tlr: 6.1e-05 tnm: 3.06 Lm: 9.340 (9.253) Lt: 9.385 (9.271) Accm: 0.08 (0.12) Acct: 0.05 (0.10) proj_loss: -0.3289 (-0.3294) time: 0.3591 data: 0.0002 [11-22 15:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:30 tlr: 6.1e-05 tnm: 3.06 Lm: 9.338 (9.247) Lt: 9.388 (9.266) Accm: 0.08 (0.10) Acct: 0.07 (0.09) proj_loss: -0.3240 (-0.3229) time: 0.3591 data: 0.0003 [11-22 15:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:30 tlr: 6.1e-05 tnm: 3.06 Lm: 9.361 (9.260) Lt: 9.406 (9.277) Accm: 0.07 (0.09) Acct: 0.05 (0.08) proj_loss: -0.3288 (-0.3284) time: 0.3591 data: 0.0002 [11-22 15:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:30 tlr: 6.1e-05 tnm: 3.06 Lm: 9.345 (9.249) Lt: 9.397 (9.268) Accm: 0.08 (0.13) Acct: 0.09 (0.13) proj_loss: -0.3319 (-0.3323) time: 0.3591 data: 0.0002 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.78 Lm: 9.231 (9.077) Lt: 9.295 (9.047) Accm: 0.10 (0.20) Acct: 0.09 (0.27) proj_loss: -0.3314 (-0.3305) time: 0.3628 data: 0.0018 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:00 (0.360 s / it) [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.78 Lm: 9.209 (9.081) Lt: 9.270 (9.049) Accm: 0.11 (0.17) Acct: 0.09 (0.20) proj_loss: -0.3254 (-0.3269) time: 0.3628 data: 0.0015 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.78 Lm: 9.215 (9.097) Lt: 9.272 (9.073) Accm: 0.13 (0.16) Acct: 0.12 (0.18) proj_loss: -0.3291 (-0.3241) time: 0.3628 data: 0.0015 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.78 Lm: 9.254 (9.089) Lt: 9.311 (9.060) Accm: 0.10 (0.19) Acct: 0.07 (0.20) proj_loss: -0.3285 (-0.3284) time: 0.3628 data: 0.0017 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:00 (0.360 s / it) [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:00 (0.360 s / it) [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:00 (0.360 s / it) [11-22 15:41:07] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.088 (9.088), Lt: 9.060 (9.060), Acc m&t: 0.17 0.20, Remain: 2 days, 10:39:55, Finish: 2024-11-24 10:21 [11-22 15:41:07] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.088 (9.088), Lt: 9.060 (9.060), Acc m&t: 0.17 0.20, Remain: 2 days, 10:41:25, Finish: 2024-11-24 10:22 [11-22 15:41:07] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.088 (9.088), Lt: 9.060 (9.060), Acc m&t: 0.17 0.20, Remain: 2 days, 10:40:05, Finish: 2024-11-24 10:21 [11-22 15:41:07] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.088 (9.088), Lt: 9.060 (9.060), Acc m&t: 0.17 0.20, Remain: 2 days, 10:41:00, Finish: 2024-11-24 10:22 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:09:39 tlr: 6.9e-05 tnm: 2.51 Lm: 8.448 (8.448) Lt: 8.213 (8.213) Accm: 0.49 (0.49) Acct: 0.50 (0.50) proj_loss: -0.3206 (-0.3206) time: 0.3471 data: 0.0003 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:09:39 tlr: 6.9e-05 tnm: 2.51 Lm: 8.432 (8.432) Lt: 8.217 (8.217) Accm: 0.48 (0.48) Acct: 0.64 (0.64) proj_loss: -0.3212 (-0.3212) time: 0.3472 data: 0.0003 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:09:40 tlr: 6.9e-05 tnm: 2.51 Lm: 8.426 (8.426) Lt: 8.202 (8.202) Accm: 0.44 (0.44) Acct: 0.60 (0.60) proj_loss: -0.3113 (-0.3113) time: 0.3478 data: 0.0003 [11-22 15:41:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:10:12 tlr: 6.9e-05 tnm: 2.51 Lm: 8.448 (8.448) Lt: 8.215 (8.215) Accm: 0.41 (0.41) Acct: 0.48 (0.48) proj_loss: -0.3196 (-0.3196) time: 0.3671 data: 0.0003 [11-22 15:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:29 tlr: 7.8e-05 tnm: 2.11 Lm: 8.383 (8.383) Lt: 8.133 (8.133) Accm: 0.49 (0.49) Acct: 0.62 (0.62) proj_loss: -0.3207 (-0.3207) time: 0.3591 data: 0.0002 [11-22 15:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:29 tlr: 7.8e-05 tnm: 2.11 Lm: 8.393 (8.393) Lt: 8.142 (8.142) Accm: 0.47 (0.47) Acct: 0.57 (0.57) proj_loss: -0.3258 (-0.3258) time: 0.3591 data: 0.0003 [11-22 15:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:29 tlr: 7.8e-05 tnm: 2.11 Lm: 8.369 (8.369) Lt: 8.140 (8.140) Accm: 0.51 (0.51) Acct: 0.65 (0.65) proj_loss: -0.3226 (-0.3226) time: 0.3591 data: 0.0003 [11-22 15:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:29 tlr: 7.8e-05 tnm: 2.11 Lm: 8.403 (8.403) Lt: 8.170 (8.170) Accm: 0.41 (0.41) Acct: 0.56 (0.56) proj_loss: -0.3232 (-0.3232) time: 0.3591 data: 0.0003 [11-22 15:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:02 tlr: 8.6e-05 tnm: 1.48 Lm: 8.319 (8.341) Lt: 8.053 (8.093) Accm: 0.49 (0.54) Acct: 0.72 (0.65) proj_loss: -0.3208 (-0.3269) time: 0.4339 data: 0.0002 [11-22 15:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:02 tlr: 8.6e-05 tnm: 1.48 Lm: 8.374 (8.357) Lt: 8.123 (8.122) Accm: 0.48 (0.49) Acct: 0.64 (0.67) proj_loss: -0.3252 (-0.3248) time: 0.4339 data: 0.0003 [11-22 15:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:02 tlr: 8.6e-05 tnm: 1.48 Lm: 8.338 (8.360) Lt: 8.069 (8.104) Accm: 0.53 (0.52) Acct: 0.65 (0.63) proj_loss: -0.3196 (-0.3234) time: 0.4339 data: 0.0003 [11-22 15:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:02 tlr: 8.6e-05 tnm: 1.48 Lm: 8.322 (8.354) Lt: 8.078 (8.113) Accm: 0.52 (0.51) Acct: 0.69 (0.67) proj_loss: -0.3272 (-0.3241) time: 0.4339 data: 0.0003 [11-22 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:32 tlr: 9.5e-05 tnm: 1.67 Lm: 8.318 (8.325) Lt: 8.068 (8.078) Accm: 0.54 (0.52) Acct: 0.70 (0.70) proj_loss: -0.3286 (-0.3256) time: 0.3649 data: 0.0002 [11-22 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:32 tlr: 9.5e-05 tnm: 1.67 Lm: 8.287 (8.312) Lt: 8.034 (8.058) Accm: 0.54 (0.56) Acct: 0.73 (0.68) proj_loss: -0.3265 (-0.3282) time: 0.3649 data: 0.0003 [11-22 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:32 tlr: 9.5e-05 tnm: 1.67 Lm: 8.320 (8.325) Lt: 8.074 (8.078) Accm: 0.50 (0.49) Acct: 0.66 (0.68) proj_loss: -0.3253 (-0.3250) time: 0.3649 data: 0.0003 [11-22 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:32 tlr: 9.5e-05 tnm: 1.67 Lm: 8.316 (8.331) Lt: 8.048 (8.066) Accm: 0.56 (0.53) Acct: 0.71 (0.68) proj_loss: -0.3258 (-0.3265) time: 0.3649 data: 0.0003 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.313 (8.285) Lt: 8.057 (8.033) Accm: 0.56 (0.56) Acct: 0.71 (0.76) proj_loss: -0.3299 (-0.3292) time: 0.3606 data: 0.0018 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.293 (8.299) Lt: 8.026 (8.035) Accm: 0.58 (0.56) Acct: 0.76 (0.72) proj_loss: -0.3320 (-0.3281) time: 0.3607 data: 0.0018 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.266 (8.304) Lt: 8.025 (8.054) Accm: 0.51 (0.51) Acct: 0.69 (0.71) proj_loss: -0.3255 (-0.3260) time: 0.3607 data: 0.0019 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.255 (8.289) Lt: 8.015 (8.031) Accm: 0.55 (0.55) Acct: 0.72 (0.66) proj_loss: -0.3296 (-0.3285) time: 0.3606 data: 0.0016 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:06 (0.364 s / it) [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:06 (0.364 s / it) [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:06 (0.364 s / it) [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:06 (0.364 s / it) [11-22 15:51:14] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.286 (8.286), Lt: 8.025 (8.025), Acc m&t: 0.53 0.72, Remain: 2 days, 10:31:30, Finish: 2024-11-24 10:22 [11-22 15:51:14] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.286 (8.286), Lt: 8.025 (8.025), Acc m&t: 0.53 0.72, Remain: 2 days, 10:32:19, Finish: 2024-11-24 10:23 [11-22 15:51:14] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.286 (8.286), Lt: 8.025 (8.025), Acc m&t: 0.53 0.72, Remain: 2 days, 10:31:01, Finish: 2024-11-24 10:22 [11-22 15:51:14] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.286 (8.286), Lt: 8.025 (8.025), Acc m&t: 0.53 0.72, Remain: 2 days, 10:32:52, Finish: 2024-11-24 10:24 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 1.30 Lm: 8.207 (8.207) Lt: 7.940 (7.940) Accm: 0.45 (0.45) Acct: 0.60 (0.60) proj_loss: -0.3370 (-0.3370) time: 0.3525 data: 0.0004 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:46 tlr: 0.0001 tnm: 1.30 Lm: 8.169 (8.169) Lt: 7.929 (7.929) Accm: 0.58 (0.58) Acct: 0.72 (0.72) proj_loss: -0.3432 (-0.3432) time: 0.3515 data: 0.0004 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:49 tlr: 0.0001 tnm: 1.30 Lm: 8.201 (8.201) Lt: 7.932 (7.932) Accm: 0.66 (0.66) Acct: 0.93 (0.93) proj_loss: -0.3414 (-0.3414) time: 0.3531 data: 0.0003 [11-22 15:51:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:49 tlr: 0.0001 tnm: 1.30 Lm: 8.200 (8.200) Lt: 7.957 (7.957) Accm: 0.62 (0.62) Acct: 0.79 (0.79) proj_loss: -0.3381 (-0.3381) time: 0.3533 data: 0.0004 [11-22 15:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 1.27 Lm: 8.167 (8.167) Lt: 7.893 (7.893) Accm: 0.65 (0.65) Acct: 0.84 (0.84) proj_loss: -0.3379 (-0.3379) time: 0.3599 data: 0.0003 [11-22 15:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 1.27 Lm: 8.187 (8.187) Lt: 7.918 (7.918) Accm: 0.47 (0.47) Acct: 0.63 (0.63) proj_loss: -0.3363 (-0.3363) time: 0.3600 data: 0.0003 [11-22 15:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 1.27 Lm: 8.153 (8.153) Lt: 7.897 (7.897) Accm: 0.61 (0.61) Acct: 0.83 (0.83) proj_loss: -0.3478 (-0.3478) time: 0.3600 data: 0.0003 [11-22 15:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 1.27 Lm: 8.174 (8.174) Lt: 7.906 (7.906) Accm: 0.64 (0.64) Acct: 0.90 (0.90) proj_loss: -0.3429 (-0.3429) time: 0.3599 data: 0.0003 [11-22 15:56:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:00 tlr: 0.00012 tnm: 1.17 Lm: 8.146 (8.154) Lt: 7.880 (7.889) Accm: 0.61 (0.63) Acct: 0.88 (0.89) proj_loss: -0.3445 (-0.3448) time: 0.3586 data: 0.0004 [11-22 15:56:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:00 tlr: 0.00012 tnm: 1.17 Lm: 8.167 (8.170) Lt: 7.896 (7.904) Accm: 0.50 (0.51) Acct: 0.65 (0.71) proj_loss: -0.3370 (-0.3388) time: 0.3587 data: 0.0003 [11-22 15:56:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:00 tlr: 0.00012 tnm: 1.17 Lm: 8.137 (8.144) Lt: 7.866 (7.884) Accm: 0.58 (0.58) Acct: 0.72 (0.79) proj_loss: -0.3513 (-0.3489) time: 0.3587 data: 0.0003 [11-22 15:56:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:00 tlr: 0.00012 tnm: 1.17 Lm: 8.134 (8.150) Lt: 7.835 (7.874) Accm: 0.62 (0.64) Acct: 0.86 (0.85) proj_loss: -0.3378 (-0.3368) time: 0.3587 data: 0.0003 [11-22 15:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 1.15 Lm: 8.125 (8.141) Lt: 7.845 (7.869) Accm: 0.62 (0.63) Acct: 0.84 (0.84) proj_loss: -0.3361 (-0.3357) time: 0.3631 data: 0.0003 [11-22 15:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 1.15 Lm: 8.151 (8.147) Lt: 7.886 (7.874) Accm: 0.54 (0.53) Acct: 0.71 (0.72) proj_loss: -0.3404 (-0.3411) time: 0.3631 data: 0.0003 [11-22 15:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 1.15 Lm: 8.131 (8.137) Lt: 7.861 (7.877) Accm: 0.61 (0.60) Acct: 0.81 (0.81) proj_loss: -0.3473 (-0.3470) time: 0.3631 data: 0.0003 [11-22 15:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 1.15 Lm: 8.145 (8.151) Lt: 7.868 (7.879) Accm: 0.63 (0.64) Acct: 0.90 (0.91) proj_loss: -0.3429 (-0.3437) time: 0.3631 data: 0.0003 [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.16 Lm: 8.134 (8.130) Lt: 7.876 (7.855) Accm: 0.58 (0.56) Acct: 0.77 (0.78) proj_loss: -0.3439 (-0.3436) time: 0.3614 data: 0.0016 [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.16 Lm: 8.143 (8.128) Lt: 7.856 (7.855) Accm: 0.66 (0.67) Acct: 0.93 (0.95) proj_loss: -0.3445 (-0.3455) time: 0.3614 data: 0.0020 [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.16 Lm: 8.116 (8.130) Lt: 7.835 (7.853) Accm: 0.62 (0.64) Acct: 0.86 (0.86) proj_loss: -0.3378 (-0.3390) time: 0.3614 data: 0.0020 [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:01 (0.360 s / it) [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.16 Lm: 8.126 (8.122) Lt: 7.857 (7.857) Accm: 0.63 (0.62) Acct: 0.90 (0.86) proj_loss: -0.3492 (-0.3474) time: 0.3614 data: 0.0021 [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:01 (0.360 s / it) [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:01 (0.360 s / it) [11-22 16:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:01 (0.360 s / it) [11-22 16:01:15] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.125 (8.125), Lt: 7.844 (7.844), Acc m&t: 0.64 0.87, Remain: 2 days, 10:14:32, Finish: 2024-11-24 10:15 [11-22 16:01:15] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.125 (8.125), Lt: 7.844 (7.844), Acc m&t: 0.64 0.87, Remain: 2 days, 10:13:51, Finish: 2024-11-24 10:15 [11-22 16:01:15] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.125 (8.125), Lt: 7.844 (7.844), Acc m&t: 0.64 0.87, Remain: 2 days, 10:13:44, Finish: 2024-11-24 10:14 [11-22 16:01:15] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.125 (8.125), Lt: 7.844 (7.844), Acc m&t: 0.64 0.87, Remain: 2 days, 10:13:03, Finish: 2024-11-24 10:14 [11-22 16:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 1.03 Lm: 7.967 (7.967) Lt: 7.624 (7.624) Accm: 0.75 (0.75) Acct: 0.93 (0.93) proj_loss: -0.3478 (-0.3478) time: 0.3565 data: 0.0004 [11-22 16:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:09:55 tlr: 0.00014 tnm: 1.03 Lm: 8.080 (8.080) Lt: 7.791 (7.791) Accm: 0.56 (0.56) Acct: 0.72 (0.72) proj_loss: -0.3478 (-0.3478) time: 0.3568 data: 0.0004 [11-22 16:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:09:55 tlr: 0.00014 tnm: 1.03 Lm: 8.051 (8.051) Lt: 7.749 (7.749) Accm: 0.72 (0.72) Acct: 1.03 (1.03) proj_loss: -0.3441 (-0.3441) time: 0.3569 data: 0.0003 [11-22 16:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:09:58 tlr: 0.00014 tnm: 1.03 Lm: 8.046 (8.046) Lt: 7.758 (7.758) Accm: 0.80 (0.80) Acct: 1.00 (1.00) proj_loss: -0.3601 (-0.3601) time: 0.3589 data: 0.0003 [11-22 16:03:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.96 Lm: 8.081 (8.081) Lt: 7.796 (7.796) Accm: 0.71 (0.71) Acct: 0.94 (0.94) proj_loss: -0.3584 (-0.3584) time: 0.3601 data: 0.0003 [11-22 16:03:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.96 Lm: 8.008 (8.008) Lt: 7.697 (7.697) Accm: 0.72 (0.72) Acct: 0.90 (0.90) proj_loss: -0.3424 (-0.3424) time: 0.3601 data: 0.0003 [11-22 16:03:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.96 Lm: 8.026 (8.026) Lt: 7.737 (7.737) Accm: 0.81 (0.81) Acct: 1.21 (1.21) proj_loss: -0.3572 (-0.3572) time: 0.3601 data: 0.0002 [11-22 16:03:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.96 Lm: 8.048 (8.048) Lt: 7.755 (7.755) Accm: 0.65 (0.65) Acct: 0.87 (0.87) proj_loss: -0.3536 (-0.3536) time: 0.3601 data: 0.0002 [11-22 16:06:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.86 Lm: 8.015 (8.033) Lt: 7.719 (7.740) Accm: 0.71 (0.67) Acct: 1.02 (0.93) proj_loss: -0.3554 (-0.3542) time: 0.3634 data: 0.0002 [11-22 16:06:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.86 Lm: 7.967 (7.979) Lt: 7.624 (7.669) Accm: 0.74 (0.72) Acct: 0.93 (0.95) proj_loss: -0.3453 (-0.3434) time: 0.3634 data: 0.0003 [11-22 16:06:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.86 Lm: 8.021 (8.024) Lt: 7.725 (7.723) Accm: 0.74 (0.78) Acct: 1.03 (1.11) proj_loss: -0.3654 (-0.3600) time: 0.3634 data: 0.0002 [11-22 16:06:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.86 Lm: 8.046 (8.067) Lt: 7.758 (7.777) Accm: 0.80 (0.76) Acct: 1.00 (1.02) proj_loss: -0.3568 (-0.3551) time: 0.3634 data: 0.0003 [11-22 16:08:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.93 Lm: 8.042 (8.049) Lt: 7.748 (7.762) Accm: 0.72 (0.72) Acct: 0.94 (0.99) proj_loss: -0.3545 (-0.3543) time: 0.3609 data: 0.0003 [11-22 16:08:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.93 Lm: 8.008 (8.002) Lt: 7.697 (7.697) Accm: 0.73 (0.72) Acct: 0.99 (0.97) proj_loss: -0.3465 (-0.3453) time: 0.3609 data: 0.0003 [11-22 16:08:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.93 Lm: 8.011 (8.015) Lt: 7.709 (7.711) Accm: 0.78 (0.79) Acct: 1.07 (1.11) proj_loss: -0.3632 (-0.3602) time: 0.3609 data: 0.0003 [11-22 16:08:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.93 Lm: 8.009 (8.005) Lt: 7.714 (7.709) Accm: 0.72 (0.72) Acct: 1.03 (0.96) proj_loss: -0.3575 (-0.3560) time: 0.3609 data: 0.0002 [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 8.009 (8.006) Lt: 7.709 (7.707) Accm: 0.71 (0.71) Acct: 1.02 (0.95) proj_loss: -0.3583 (-0.3565) time: 0.3644 data: 0.0015 [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:03 (0.362 s / it) [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 8.037 (8.023) Lt: 7.738 (7.733) Accm: 0.77 (0.73) Acct: 1.00 (1.00) proj_loss: -0.3568 (-0.3560) time: 0.3644 data: 0.0016 [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 8.001 (8.009) Lt: 7.725 (7.713) Accm: 0.82 (0.80) Acct: 1.10 (1.12) proj_loss: -0.3609 (-0.3598) time: 0.3644 data: 0.0018 [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:03 (0.362 s / it) [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 7.976 (7.997) Lt: 7.706 (7.698) Accm: 0.74 (0.74) Acct: 1.05 (1.01) proj_loss: -0.3478 (-0.3505) time: 0.3644 data: 0.0019 [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:03 (0.362 s / it) [11-22 16:11:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:03 (0.362 s / it) [11-22 16:11:19] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.020 (8.020), Lt: 7.725 (7.725), Acc m&t: 0.73 0.99, Remain: 2 days, 10:47:52, Finish: 2024-11-24 10:59 [11-22 16:11:19] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.020 (8.020), Lt: 7.725 (7.725), Acc m&t: 0.73 0.99, Remain: 2 days, 10:48:30, Finish: 2024-11-24 10:59 [11-22 16:11:19] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.020 (8.020), Lt: 7.725 (7.725), Acc m&t: 0.73 0.99, Remain: 2 days, 10:52:53, Finish: 2024-11-24 11:04 [11-22 16:11:19] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.020 (8.020), Lt: 7.725 (7.725), Acc m&t: 0.73 0.99, Remain: 2 days, 10:48:03, Finish: 2024-11-24 10:59 [11-22 16:11:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.83 Lm: 7.969 (7.969) Lt: 7.677 (7.677) Accm: 0.76 (0.76) Acct: 0.96 (0.96) proj_loss: -0.3609 (-0.3609) time: 0.3655 data: 0.0004 [11-22 16:11:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.83 Lm: 8.007 (8.007) Lt: 7.700 (7.700) Accm: 0.77 (0.77) Acct: 1.29 (1.29) proj_loss: -0.3568 (-0.3568) time: 0.3660 data: 0.0004 [11-22 16:11:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.83 Lm: 7.868 (7.868) Lt: 7.556 (7.556) Accm: 0.82 (0.82) Acct: 0.96 (0.96) proj_loss: -0.3707 (-0.3707) time: 0.3661 data: 0.0003 [11-22 16:11:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.83 Lm: 7.968 (7.968) Lt: 7.719 (7.719) Accm: 0.71 (0.71) Acct: 0.81 (0.81) proj_loss: -0.3650 (-0.3650) time: 0.3659 data: 0.0004 [11-22 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.80 Lm: 7.977 (7.977) Lt: 7.707 (7.707) Accm: 0.73 (0.73) Acct: 0.88 (0.88) proj_loss: -0.3601 (-0.3601) time: 0.3644 data: 0.0003 [11-22 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.80 Lm: 7.953 (7.953) Lt: 7.656 (7.656) Accm: 0.78 (0.78) Acct: 1.01 (1.01) proj_loss: -0.3644 (-0.3644) time: 0.3644 data: 0.0002 [11-22 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.80 Lm: 7.970 (7.970) Lt: 7.688 (7.688) Accm: 0.78 (0.78) Acct: 1.08 (1.08) proj_loss: -0.3602 (-0.3602) time: 0.3644 data: 0.0003 [11-22 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.80 Lm: 7.881 (7.881) Lt: 7.572 (7.572) Accm: 0.73 (0.73) Acct: 0.94 (0.94) proj_loss: -0.3661 (-0.3661) time: 0.3644 data: 0.0002 [11-22 16:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:09 tlr: 0.00019 tnm: 0.78 Lm: 7.894 (7.908) Lt: 7.588 (7.607) Accm: 0.64 (0.69) Acct: 0.91 (0.87) proj_loss: -0.3614 (-0.3644) time: 0.3631 data: 0.0002 [11-22 16:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:09 tlr: 0.00019 tnm: 0.78 Lm: 7.969 (7.966) Lt: 7.677 (7.677) Accm: 0.77 (0.78) Acct: 1.05 (1.04) proj_loss: -0.3678 (-0.3689) time: 0.3631 data: 0.0002 [11-22 16:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:09 tlr: 0.00019 tnm: 0.78 Lm: 7.932 (7.954) Lt: 7.677 (7.657) Accm: 0.79 (0.80) Acct: 1.15 (1.11) proj_loss: -0.3636 (-0.3621) time: 0.3631 data: 0.0003 [11-22 16:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:09 tlr: 0.00019 tnm: 0.78 Lm: 7.968 (7.953) Lt: 7.694 (7.675) Accm: 0.76 (0.75) Acct: 0.95 (0.93) proj_loss: -0.3650 (-0.3650) time: 0.3631 data: 0.0002 [11-22 16:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.75 Lm: 7.944 (7.945) Lt: 7.658 (7.662) Accm: 0.73 (0.74) Acct: 0.90 (0.91) proj_loss: -0.3691 (-0.3670) time: 0.3625 data: 0.0003 [11-22 16:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.75 Lm: 7.884 (7.900) Lt: 7.576 (7.596) Accm: 0.73 (0.72) Acct: 0.94 (0.90) proj_loss: -0.3636 (-0.3648) time: 0.3625 data: 0.0002 [11-22 16:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.75 Lm: 7.953 (7.933) Lt: 7.656 (7.632) Accm: 0.78 (0.81) Acct: 1.08 (1.11) proj_loss: -0.3650 (-0.3672) time: 0.3625 data: 0.0003 [11-22 16:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.75 Lm: 7.928 (7.935) Lt: 7.635 (7.633) Accm: 0.81 (0.82) Acct: 1.22 (1.15) proj_loss: -0.3647 (-0.3642) time: 0.3625 data: 0.0002 [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.932 (7.937) Lt: 7.627 (7.632) Accm: 0.82 (0.82) Acct: 1.26 (1.17) proj_loss: -0.3658 (-0.3677) time: 0.3628 data: 0.0019 [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:10 (0.366 s / it) [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.920 (7.936) Lt: 7.622 (7.649) Accm: 0.76 (0.75) Acct: 0.95 (0.95) proj_loss: -0.3704 (-0.3677) time: 0.3628 data: 0.0016 [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.937 (7.919) Lt: 7.636 (7.614) Accm: 0.79 (0.84) Acct: 1.12 (1.15) proj_loss: -0.3678 (-0.3716) time: 0.3628 data: 0.0016 [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.889 (7.897) Lt: 7.588 (7.595) Accm: 0.82 (0.75) Acct: 0.96 (0.94) proj_loss: -0.3614 (-0.3633) time: 0.3628 data: 0.0021 [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:10 (0.366 s / it) [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:10 (0.366 s / it) [11-22 16:21:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:10 (0.366 s / it) [11-22 16:21:30] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.924 (7.924), Lt: 7.623 (7.623), Acc m&t: 0.80 1.09, Remain: 2 days, 10:15:56, Finish: 2024-11-24 10:37 [11-22 16:21:30] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.924 (7.924), Lt: 7.623 (7.623), Acc m&t: 0.80 1.09, Remain: 2 days, 10:17:37, Finish: 2024-11-24 10:39 [11-22 16:21:30] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.924 (7.924), Lt: 7.623 (7.623), Acc m&t: 0.80 1.09, Remain: 2 days, 10:16:43, Finish: 2024-11-24 10:38 [11-22 16:21:30] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.924 (7.924), Lt: 7.623 (7.623), Acc m&t: 0.80 1.09, Remain: 2 days, 10:16:20, Finish: 2024-11-24 10:37 [11-22 16:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:41 tlr: 0.00021 tnm: 0.67 Lm: 7.900 (7.900) Lt: 7.628 (7.628) Accm: 0.81 (0.81) Acct: 1.07 (1.07) proj_loss: -0.3765 (-0.3765) time: 0.3485 data: 0.0003 [11-22 16:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:43 tlr: 0.00021 tnm: 0.67 Lm: 7.914 (7.914) Lt: 7.589 (7.589) Accm: 0.71 (0.71) Acct: 1.05 (1.05) proj_loss: -0.3719 (-0.3719) time: 0.3496 data: 0.0004 [11-22 16:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:45 tlr: 0.00021 tnm: 0.67 Lm: 7.905 (7.905) Lt: 7.617 (7.617) Accm: 0.76 (0.76) Acct: 1.02 (1.02) proj_loss: -0.3599 (-0.3599) time: 0.3507 data: 0.0004 [11-22 16:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:46 tlr: 0.00021 tnm: 0.67 Lm: 7.939 (7.939) Lt: 7.683 (7.683) Accm: 0.86 (0.86) Acct: 1.17 (1.17) proj_loss: -0.3691 (-0.3691) time: 0.3516 data: 0.0004 [11-22 16:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.62 Lm: 7.844 (7.844) Lt: 7.557 (7.557) Accm: 0.91 (0.91) Acct: 1.23 (1.23) proj_loss: -0.3700 (-0.3700) time: 0.3624 data: 0.0002 [11-22 16:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.62 Lm: 7.915 (7.915) Lt: 7.637 (7.637) Accm: 0.85 (0.85) Acct: 1.17 (1.17) proj_loss: -0.3808 (-0.3808) time: 0.3624 data: 0.0003 [11-22 16:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.62 Lm: 7.882 (7.882) Lt: 7.571 (7.571) Accm: 0.83 (0.83) Acct: 1.18 (1.18) proj_loss: -0.3756 (-0.3756) time: 0.3624 data: 0.0003 [11-22 16:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.62 Lm: 7.869 (7.869) Lt: 7.569 (7.569) Accm: 0.86 (0.86) Acct: 1.11 (1.11) proj_loss: -0.3694 (-0.3694) time: 0.3624 data: 0.0003 [11-22 16:26:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.77 Lm: 7.900 (7.895) Lt: 7.628 (7.616) Accm: 0.89 (0.87) Acct: 1.19 (1.18) proj_loss: -0.3852 (-0.3831) time: 0.3653 data: 0.0003 [11-22 16:26:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.77 Lm: 7.849 (7.868) Lt: 7.553 (7.561) Accm: 0.82 (0.83) Acct: 1.19 (1.18) proj_loss: -0.3794 (-0.3784) time: 0.3654 data: 0.0003 [11-22 16:26:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.77 Lm: 7.844 (7.844) Lt: 7.526 (7.547) Accm: 0.86 (0.85) Acct: 1.17 (1.12) proj_loss: -0.3710 (-0.3744) time: 0.3654 data: 0.0003 [11-22 16:26:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.77 Lm: 7.832 (7.849) Lt: 7.522 (7.553) Accm: 0.83 (0.85) Acct: 1.03 (1.08) proj_loss: -0.3744 (-0.3711) time: 0.3654 data: 0.0003 [11-22 16:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.72 Lm: 7.898 (7.896) Lt: 7.618 (7.614) Accm: 0.85 (0.83) Acct: 1.17 (1.17) proj_loss: -0.3864 (-0.3847) time: 0.3632 data: 0.0003 [11-22 16:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.72 Lm: 7.864 (7.871) Lt: 7.559 (7.562) Accm: 0.87 (0.85) Acct: 1.20 (1.19) proj_loss: -0.3785 (-0.3782) time: 0.3632 data: 0.0003 [11-22 16:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.72 Lm: 7.819 (7.831) Lt: 7.499 (7.528) Accm: 0.91 (0.88) Acct: 1.23 (1.18) proj_loss: -0.3770 (-0.3792) time: 0.3632 data: 0.0003 [11-22 16:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.72 Lm: 7.827 (7.842) Lt: 7.521 (7.544) Accm: 0.88 (0.87) Acct: 1.12 (1.12) proj_loss: -0.3750 (-0.3722) time: 0.3632 data: 0.0003 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.822 (7.834) Lt: 7.521 (7.533) Accm: 0.93 (0.89) Acct: 1.21 (1.16) proj_loss: -0.3756 (-0.3766) time: 0.3632 data: 0.0019 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.844 (7.841) Lt: 7.526 (7.535) Accm: 0.86 (0.87) Acct: 1.19 (1.18) proj_loss: -0.3830 (-0.3803) time: 0.3632 data: 0.0019 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.896 (7.874) Lt: 7.607 (7.587) Accm: 0.89 (0.86) Acct: 1.17 (1.17) proj_loss: -0.3876 (-0.3872) time: 0.3632 data: 0.0016 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.872 (7.871) Lt: 7.553 (7.560) Accm: 0.84 (0.85) Acct: 1.21 (1.20) proj_loss: -0.3794 (-0.3789) time: 0.3632 data: 0.0017 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:31:35] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.839 (7.839), Lt: 7.536 (7.536), Acc m&t: 0.88 1.19, Remain: 2 days, 10:02:49, Finish: 2024-11-24 10:34 [11-22 16:31:35] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.839 (7.839), Lt: 7.536 (7.536), Acc m&t: 0.88 1.19, Remain: 2 days, 10:02:23, Finish: 2024-11-24 10:33 [11-22 16:31:35] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.839 (7.839), Lt: 7.536 (7.536), Acc m&t: 0.88 1.19, Remain: 2 days, 10:02:13, Finish: 2024-11-24 10:33 [11-22 16:31:35] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.839 (7.839), Lt: 7.536 (7.536), Acc m&t: 0.88 1.19, Remain: 2 days, 10:00:57, Finish: 2024-11-24 10:32 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.64 Lm: 7.846 (7.846) Lt: 7.565 (7.565) Accm: 0.97 (0.97) Acct: 1.33 (1.33) proj_loss: -0.3616 (-0.3616) time: 0.3505 data: 0.0003 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:09:46 tlr: 0.00024 tnm: 0.64 Lm: 7.871 (7.871) Lt: 7.545 (7.545) Accm: 0.95 (0.95) Acct: 1.38 (1.38) proj_loss: -0.3792 (-0.3792) time: 0.3511 data: 0.0004 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:09:45 tlr: 0.00024 tnm: 0.64 Lm: 7.772 (7.772) Lt: 7.465 (7.465) Accm: 0.94 (0.94) Acct: 1.26 (1.26) proj_loss: -0.3904 (-0.3904) time: 0.3505 data: 0.0003 [11-22 16:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:09:46 tlr: 0.00024 tnm: 0.64 Lm: 7.778 (7.778) Lt: 7.429 (7.429) Accm: 0.80 (0.80) Acct: 1.19 (1.19) proj_loss: -0.3893 (-0.3893) time: 0.3511 data: 0.0004 [11-22 16:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.59 Lm: 7.764 (7.764) Lt: 7.431 (7.431) Accm: 0.86 (0.86) Acct: 1.21 (1.21) proj_loss: -0.3916 (-0.3916) time: 0.3610 data: 0.0003 [11-22 16:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.59 Lm: 7.806 (7.806) Lt: 7.523 (7.523) Accm: 0.94 (0.94) Acct: 1.20 (1.20) proj_loss: -0.3717 (-0.3717) time: 0.3610 data: 0.0002 [11-22 16:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.59 Lm: 7.827 (7.827) Lt: 7.505 (7.505) Accm: 0.96 (0.96) Acct: 1.27 (1.27) proj_loss: -0.3833 (-0.3833) time: 0.3610 data: 0.0003 [11-22 16:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.59 Lm: 7.737 (7.737) Lt: 7.419 (7.419) Accm: 0.89 (0.89) Acct: 1.25 (1.25) proj_loss: -0.3826 (-0.3826) time: 0.3610 data: 0.0003 [11-22 16:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.772 (7.758) Lt: 7.465 (7.438) Accm: 0.94 (0.92) Acct: 1.26 (1.31) proj_loss: -0.3815 (-0.3822) time: 0.3628 data: 0.0002 [11-22 16:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.825 (7.812) Lt: 7.530 (7.526) Accm: 0.90 (0.91) Acct: 1.07 (1.15) proj_loss: -0.3818 (-0.3792) time: 0.3628 data: 0.0003 [11-22 16:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.749 (7.748) Lt: 7.429 (7.423) Accm: 0.93 (0.93) Acct: 1.22 (1.26) proj_loss: -0.3893 (-0.3908) time: 0.3628 data: 0.0003 [11-22 16:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.796 (7.817) Lt: 7.500 (7.504) Accm: 0.97 (1.02) Acct: 1.38 (1.38) proj_loss: -0.3874 (-0.3905) time: 0.3628 data: 0.0003 [11-22 16:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.60 Lm: 7.790 (7.797) Lt: 7.483 (7.477) Accm: 1.00 (1.02) Acct: 1.46 (1.42) proj_loss: -0.3962 (-0.3942) time: 0.3618 data: 0.0003 [11-22 16:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.60 Lm: 7.796 (7.801) Lt: 7.506 (7.511) Accm: 0.91 (0.91) Acct: 1.14 (1.17) proj_loss: -0.3880 (-0.3863) time: 0.3618 data: 0.0003 [11-22 16:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.60 Lm: 7.744 (7.746) Lt: 7.431 (7.431) Accm: 0.98 (0.95) Acct: 1.29 (1.30) proj_loss: -0.3892 (-0.3900) time: 0.3618 data: 0.0003 [11-22 16:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.60 Lm: 7.737 (7.714) Lt: 7.419 (7.386) Accm: 0.97 (0.98) Acct: 1.35 (1.38) proj_loss: -0.3860 (-0.3866) time: 0.3618 data: 0.0003 [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.702 (7.703) Lt: 7.373 (7.372) Accm: 1.00 (1.02) Acct: 1.45 (1.41) proj_loss: -0.3904 (-0.3900) time: 0.3649 data: 0.0016 [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.773 (7.795) Lt: 7.482 (7.498) Accm: 0.92 (0.92) Acct: 1.22 (1.18) proj_loss: -0.3942 (-0.3913) time: 0.3649 data: 0.0015 [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:11 (0.366 s / it) [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.783 (7.770) Lt: 7.465 (7.449) Accm: 1.01 (1.02) Acct: 1.41 (1.42) proj_loss: -0.3952 (-0.3944) time: 0.3649 data: 0.0017 [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.741 (7.745) Lt: 7.429 (7.431) Accm: 1.03 (0.97) Acct: 1.36 (1.32) proj_loss: -0.3893 (-0.3926) time: 0.3649 data: 0.0016 [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:11 (0.366 s / it) [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:11 (0.366 s / it) [11-22 16:41:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:11 (0.366 s / it) [11-22 16:41:46] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.743 (7.743), Lt: 7.423 (7.423), Acc m&t: 0.99 1.34, Remain: 2 days, 10:11:14, Finish: 2024-11-24 10:53 [11-22 16:41:46] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.743 (7.743), Lt: 7.423 (7.423), Acc m&t: 0.99 1.34, Remain: 2 days, 10:04:36, Finish: 2024-11-24 10:46 [11-22 16:41:46] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.743 (7.743), Lt: 7.423 (7.423), Acc m&t: 0.99 1.34, Remain: 2 days, 10:10:54, Finish: 2024-11-24 10:52 [11-22 16:41:46] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.743 (7.743), Lt: 7.423 (7.423), Acc m&t: 0.99 1.34, Remain: 2 days, 10:09:02, Finish: 2024-11-24 10:50 [11-22 16:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:56 tlr: 0.00024 tnm: 0.61 Lm: 7.685 (7.685) Lt: 7.352 (7.352) Accm: 0.98 (0.98) Acct: 1.29 (1.29) proj_loss: -0.4063 (-0.4063) time: 0.3577 data: 0.0004 [11-22 16:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:58 tlr: 0.00024 tnm: 0.61 Lm: 7.734 (7.734) Lt: 7.379 (7.379) Accm: 0.85 (0.85) Acct: 1.36 (1.36) proj_loss: -0.3891 (-0.3891) time: 0.3585 data: 0.0004 [11-22 16:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:58 tlr: 0.00024 tnm: 0.61 Lm: 7.663 (7.663) Lt: 7.331 (7.331) Accm: 1.03 (1.03) Acct: 1.45 (1.45) proj_loss: -0.3905 (-0.3905) time: 0.3587 data: 0.0003 [11-22 16:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:58 tlr: 0.00024 tnm: 0.61 Lm: 7.725 (7.725) Lt: 7.376 (7.376) Accm: 1.14 (1.14) Acct: 1.77 (1.77) proj_loss: -0.3742 (-0.3742) time: 0.3588 data: 0.0004 [11-22 16:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.60 Lm: 7.636 (7.636) Lt: 7.290 (7.290) Accm: 1.19 (1.19) Acct: 1.62 (1.62) proj_loss: -0.3808 (-0.3808) time: 0.3597 data: 0.0003 [11-22 16:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.60 Lm: 7.731 (7.731) Lt: 7.370 (7.370) Accm: 0.94 (0.94) Acct: 1.47 (1.47) proj_loss: -0.3973 (-0.3973) time: 0.3597 data: 0.0003 [11-22 16:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.60 Lm: 7.618 (7.618) Lt: 7.277 (7.277) Accm: 1.15 (1.15) Acct: 1.64 (1.64) proj_loss: -0.3937 (-0.3937) time: 0.3597 data: 0.0002 [11-22 16:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.60 Lm: 7.646 (7.646) Lt: 7.310 (7.310) Accm: 1.06 (1.06) Acct: 1.49 (1.49) proj_loss: -0.3975 (-0.3975) time: 0.3597 data: 0.0002 [11-22 16:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.59 Lm: 7.606 (7.622) Lt: 7.267 (7.283) Accm: 1.13 (1.09) Acct: 1.64 (1.54) proj_loss: -0.3979 (-0.3976) time: 0.3609 data: 0.0002 [11-22 16:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.59 Lm: 7.615 (7.617) Lt: 7.275 (7.276) Accm: 1.11 (1.14) Acct: 1.64 (1.64) proj_loss: -0.3969 (-0.4022) time: 0.3609 data: 0.0002 [11-22 16:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.59 Lm: 7.642 (7.638) Lt: 7.318 (7.299) Accm: 1.14 (1.10) Acct: 1.46 (1.52) proj_loss: -0.3875 (-0.3913) time: 0.3609 data: 0.0003 [11-22 16:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.59 Lm: 7.728 (7.676) Lt: 7.361 (7.312) Accm: 1.02 (0.99) Acct: 1.41 (1.45) proj_loss: -0.4055 (-0.4020) time: 0.3609 data: 0.0003 [11-22 16:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.59 Lm: 7.678 (7.664) Lt: 7.307 (7.297) Accm: 1.05 (1.06) Acct: 1.50 (1.56) proj_loss: -0.4068 (-0.4035) time: 0.3611 data: 0.0003 [11-22 16:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.59 Lm: 7.629 (7.629) Lt: 7.264 (7.278) Accm: 1.12 (1.09) Acct: 1.62 (1.55) proj_loss: -0.4021 (-0.4011) time: 0.3611 data: 0.0002 [11-22 16:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.59 Lm: 7.596 (7.607) Lt: 7.249 (7.256) Accm: 1.13 (1.14) Acct: 1.54 (1.57) proj_loss: -0.4009 (-0.4028) time: 0.3611 data: 0.0003 [11-22 16:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.59 Lm: 7.630 (7.633) Lt: 7.281 (7.286) Accm: 1.10 (1.09) Acct: 1.56 (1.55) proj_loss: -0.3978 (-0.3955) time: 0.3611 data: 0.0003 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.55 Lm: 7.618 (7.619) Lt: 7.245 (7.265) Accm: 1.14 (1.11) Acct: 1.46 (1.53) proj_loss: -0.4057 (-0.3975) time: 0.3634 data: 0.0016 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.55 Lm: 7.628 (7.631) Lt: 7.252 (7.265) Accm: 1.09 (1.12) Acct: 1.58 (1.61) proj_loss: -0.4055 (-0.4033) time: 0.3634 data: 0.0020 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.55 Lm: 7.615 (7.609) Lt: 7.233 (7.252) Accm: 1.11 (1.11) Acct: 1.48 (1.55) proj_loss: -0.4049 (-0.4035) time: 0.3634 data: 0.0016 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.55 Lm: 7.606 (7.621) Lt: 7.262 (7.268) Accm: 1.11 (1.09) Acct: 1.60 (1.52) proj_loss: -0.4063 (-0.4049) time: 0.3634 data: 0.0015 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:04 (0.362 s / it) [11-22 16:51:51] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.633 (7.633), Lt: 7.272 (7.272), Acc m&t: 1.12 1.55, Remain: 2 days, 9:44:50, Finish: 2024-11-24 10:36 [11-22 16:51:51] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.633 (7.633), Lt: 7.272 (7.272), Acc m&t: 1.12 1.55, Remain: 2 days, 9:45:58, Finish: 2024-11-24 10:37 [11-22 16:51:51] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.633 (7.633), Lt: 7.272 (7.272), Acc m&t: 1.12 1.55, Remain: 2 days, 9:45:32, Finish: 2024-11-24 10:37 [11-22 16:51:51] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.633 (7.633), Lt: 7.272 (7.272), Acc m&t: 1.12 1.55, Remain: 2 days, 9:44:41, Finish: 2024-11-24 10:36 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:09:37 tlr: 0.00024 tnm: 0.55 Lm: 7.623 (7.623) Lt: 7.250 (7.250) Accm: 1.12 (1.12) Acct: 1.67 (1.67) proj_loss: -0.4062 (-0.4062) time: 0.3459 data: 0.0004 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:10:26 tlr: 0.00024 tnm: 0.55 Lm: 7.534 (7.534) Lt: 7.131 (7.131) Accm: 1.14 (1.14) Acct: 1.52 (1.52) proj_loss: -0.4037 (-0.4037) time: 0.3753 data: 0.0004 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:09:37 tlr: 0.00024 tnm: 0.55 Lm: 7.537 (7.537) Lt: 7.129 (7.129) Accm: 1.06 (1.06) Acct: 1.55 (1.55) proj_loss: -0.4149 (-0.4149) time: 0.3463 data: 0.0003 [11-22 16:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:09:37 tlr: 0.00024 tnm: 0.55 Lm: 7.537 (7.537) Lt: 7.135 (7.135) Accm: 1.22 (1.22) Acct: 1.60 (1.60) proj_loss: -0.3980 (-0.3980) time: 0.3459 data: 0.0004 [11-22 16:54:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.65 Lm: 7.554 (7.554) Lt: 7.133 (7.133) Accm: 1.18 (1.18) Acct: 1.67 (1.67) proj_loss: -0.3953 (-0.3953) time: 0.3630 data: 0.0003 [11-22 16:54:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.65 Lm: 7.593 (7.593) Lt: 7.215 (7.215) Accm: 1.15 (1.15) Acct: 1.70 (1.70) proj_loss: -0.4037 (-0.4037) time: 0.3630 data: 0.0002 [11-22 16:54:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.65 Lm: 7.555 (7.555) Lt: 7.157 (7.157) Accm: 1.21 (1.21) Acct: 1.59 (1.59) proj_loss: -0.4039 (-0.4039) time: 0.3630 data: 0.0003 [11-22 16:54:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.65 Lm: 7.531 (7.531) Lt: 7.114 (7.114) Accm: 1.22 (1.22) Acct: 1.74 (1.74) proj_loss: -0.4096 (-0.4096) time: 0.3630 data: 0.0003 [11-22 16:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.59 Lm: 7.537 (7.553) Lt: 7.129 (7.131) Accm: 1.25 (1.23) Acct: 1.89 (1.79) proj_loss: -0.4149 (-0.4115) time: 0.3624 data: 0.0003 [11-22 16:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.59 Lm: 7.563 (7.562) Lt: 7.181 (7.160) Accm: 1.19 (1.26) Acct: 1.72 (1.83) proj_loss: -0.4012 (-0.4016) time: 0.3624 data: 0.0003 [11-22 16:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.59 Lm: 7.537 (7.528) Lt: 7.132 (7.113) Accm: 1.22 (1.21) Acct: 1.74 (1.76) proj_loss: -0.3980 (-0.3999) time: 0.3624 data: 0.0003 [11-22 16:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.59 Lm: 7.534 (7.531) Lt: 7.131 (7.126) Accm: 1.14 (1.18) Acct: 1.65 (1.61) proj_loss: -0.4040 (-0.4056) time: 0.3624 data: 0.0003 [11-22 16:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.57 Lm: 7.535 (7.549) Lt: 7.141 (7.146) Accm: 1.20 (1.25) Acct: 1.72 (1.80) proj_loss: -0.4037 (-0.4051) time: 0.3614 data: 0.0003 [11-22 16:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.57 Lm: 7.507 (7.504) Lt: 7.102 (7.082) Accm: 1.25 (1.26) Acct: 1.83 (1.82) proj_loss: -0.3998 (-0.4004) time: 0.3615 data: 0.0003 [11-22 16:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.57 Lm: 7.540 (7.550) Lt: 7.137 (7.134) Accm: 1.19 (1.21) Acct: 1.83 (1.78) proj_loss: -0.4128 (-0.4113) time: 0.3615 data: 0.0003 [11-22 16:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.57 Lm: 7.510 (7.509) Lt: 7.098 (7.102) Accm: 1.21 (1.23) Acct: 1.66 (1.70) proj_loss: -0.4065 (-0.4077) time: 0.3615 data: 0.0003 [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.485 (7.503) Lt: 7.064 (7.081) Accm: 1.29 (1.26) Acct: 1.67 (1.75) proj_loss: -0.4040 (-0.4068) time: 0.3645 data: 0.0030 [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.529 (7.545) Lt: 7.126 (7.142) Accm: 1.19 (1.24) Acct: 1.72 (1.75) proj_loss: -0.4062 (-0.4058) time: 0.3645 data: 0.0018 [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.537 (7.532) Lt: 7.129 (7.107) Accm: 1.25 (1.24) Acct: 1.89 (1.83) proj_loss: -0.4106 (-0.4083) time: 0.3645 data: 0.0023 [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.516 (7.507) Lt: 7.078 (7.081) Accm: 1.28 (1.28) Acct: 1.93 (1.86) proj_loss: -0.4016 (-0.4009) time: 0.3645 data: 0.0020 [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:01:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:06:34] (home/user/VAR/trainer.py, line 114)=> FID: 23.924856040296845 [11-22 17:06:35] (/home/user/VAR/train.py , line 259)=> [*] [ep9] (val 50000) Lm: 7.5074, Lt: 7.0842, Acc m&t: 1.29 1.84, Val cost: 279.13s [11-22 17:06:35] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-22 17:06:49] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.507 (7.507), Lt: 7.084 (7.084), Acc m&t: 1.29 1.84, Remain: 2 days, 9:32:51, Finish: 2024-11-24 10:34 [11-22 17:06:49] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.507 (7.507), Lt: 7.084 (7.084), Acc m&t: 1.29 1.84, Remain: 2 days, 9:32:37, Finish: 2024-11-24 10:34 [11-22 17:06:49] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.507 (7.507), Lt: 7.084 (7.084), Acc m&t: 1.29 1.84, Remain: 2 days, 9:33:08, Finish: 2024-11-24 10:35 [11-22 17:06:49] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.507 (7.507), Lt: 7.084 (7.084), Acc m&t: 1.29 1.84, Remain: 2 days, 9:32:57, Finish: 2024-11-24 10:34 [11-22 17:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:04 tlr: 0.00024 tnm: 0.57 Lm: 7.388 (7.388) Lt: 6.942 (6.942) Accm: 1.34 (1.34) Acct: 1.81 (1.81) proj_loss: -0.4215 (-0.4215) time: 0.5057 data: 0.0003 [11-22 17:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:03 tlr: 0.00024 tnm: 0.57 Lm: 7.398 (7.398) Lt: 6.930 (6.930) Accm: 1.50 (1.50) Acct: 2.17 (2.17) proj_loss: -0.4072 (-0.4072) time: 0.5054 data: 0.0004 [11-22 17:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:05 tlr: 0.00024 tnm: 0.57 Lm: 7.558 (7.558) Lt: 7.115 (7.115) Accm: 1.24 (1.24) Acct: 1.84 (1.84) proj_loss: -0.3963 (-0.3963) time: 0.5064 data: 0.0004 [11-22 17:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:05 tlr: 0.00024 tnm: 0.57 Lm: 7.462 (7.462) Lt: 6.959 (6.959) Accm: 1.22 (1.22) Acct: 1.91 (1.91) proj_loss: -0.3946 (-0.3946) time: 0.5066 data: 0.0004 [11-22 17:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.56 Lm: 7.434 (7.434) Lt: 6.932 (6.932) Accm: 1.42 (1.42) Acct: 2.13 (2.13) proj_loss: -0.3978 (-0.3978) time: 0.3637 data: 0.0003 [11-22 17:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.56 Lm: 7.418 (7.418) Lt: 6.937 (6.937) Accm: 1.35 (1.35) Acct: 2.02 (2.02) proj_loss: -0.4038 (-0.4038) time: 0.3637 data: 0.0003 [11-22 17:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.56 Lm: 7.503 (7.503) Lt: 7.058 (7.058) Accm: 1.31 (1.31) Acct: 1.94 (1.94) proj_loss: -0.4075 (-0.4075) time: 0.3637 data: 0.0002 [11-22 17:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.56 Lm: 7.417 (7.417) Lt: 6.939 (6.939) Accm: 1.31 (1.31) Acct: 1.80 (1.80) proj_loss: -0.4167 (-0.4167) time: 0.3637 data: 0.0003 [11-22 17:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.447 (7.439) Lt: 6.942 (6.968) Accm: 1.29 (1.30) Acct: 1.81 (1.83) proj_loss: -0.4207 (-0.4180) time: 0.3646 data: 0.0003 [11-22 17:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.449 (7.472) Lt: 7.001 (7.008) Accm: 1.34 (1.32) Acct: 2.03 (1.99) proj_loss: -0.4039 (-0.4063) time: 0.3646 data: 0.0003 [11-22 17:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.437 (7.432) Lt: 6.944 (6.957) Accm: 1.38 (1.36) Acct: 2.08 (2.04) proj_loss: -0.4072 (-0.4074) time: 0.3646 data: 0.0002 [11-22 17:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.63 Lm: 7.405 (7.416) Lt: 6.904 (6.914) Accm: 1.33 (1.39) Acct: 1.95 (2.07) proj_loss: -0.4011 (-0.4034) time: 0.3646 data: 0.0003 [11-22 17:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.52 Lm: 7.393 (7.390) Lt: 6.891 (6.873) Accm: 1.46 (1.44) Acct: 2.15 (2.16) proj_loss: -0.4043 (-0.4044) time: 0.3622 data: 0.0003 [11-22 17:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.52 Lm: 7.418 (7.427) Lt: 6.939 (6.944) Accm: 1.31 (1.34) Acct: 1.84 (1.95) proj_loss: -0.4164 (-0.4165) time: 0.3623 data: 0.0003 [11-22 17:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.52 Lm: 7.439 (7.462) Lt: 6.983 (6.997) Accm: 1.36 (1.37) Acct: 2.05 (2.01) proj_loss: -0.4058 (-0.4066) time: 0.3622 data: 0.0003 [11-22 17:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.52 Lm: 7.418 (7.417) Lt: 6.937 (6.938) Accm: 1.44 (1.41) Acct: 2.13 (2.10) proj_loss: -0.4069 (-0.4072) time: 0.3622 data: 0.0003 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.437 (7.421) Lt: 6.944 (6.940) Accm: 1.49 (1.43) Acct: 2.13 (2.11) proj_loss: -0.4072 (-0.4094) time: 0.3609 data: 0.0017 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.423 (7.426) Lt: 6.937 (6.940) Accm: 1.34 (1.35) Acct: 1.88 (1.96) proj_loss: -0.4206 (-0.4173) time: 0.3609 data: 0.0018 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:05 (0.363 s / it) [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.405 (7.402) Lt: 6.904 (6.886) Accm: 1.48 (1.45) Acct: 2.36 (2.21) proj_loss: -0.4011 (-0.4031) time: 0.3609 data: 0.0020 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.430 (7.438) Lt: 6.965 (6.966) Accm: 1.38 (1.39) Acct: 2.07 (2.04) proj_loss: -0.4078 (-0.4080) time: 0.3610 data: 0.0018 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:05 (0.363 s / it) [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:05 (0.363 s / it) [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:05 (0.363 s / it) [11-22 17:16:54] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.408 (7.408), Lt: 6.934 (6.934), Acc m&t: 1.44 2.10, Remain: 2 days, 9:02:04, Finish: 2024-11-24 10:18 [11-22 17:16:54] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.408 (7.408), Lt: 6.934 (6.934), Acc m&t: 1.44 2.10, Remain: 2 days, 9:05:10, Finish: 2024-11-24 10:22 [11-22 17:16:54] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.408 (7.408), Lt: 6.934 (6.934), Acc m&t: 1.44 2.10, Remain: 2 days, 9:03:22, Finish: 2024-11-24 10:20 [11-22 17:16:54] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.408 (7.408), Lt: 6.934 (6.934), Acc m&t: 1.44 2.10, Remain: 2 days, 9:04:09, Finish: 2024-11-24 10:21 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.51 Lm: 7.367 (7.367) Lt: 6.805 (6.805) Accm: 1.33 (1.33) Acct: 1.96 (1.96) proj_loss: -0.4126 (-0.4126) time: 0.3639 data: 0.0004 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:09:55 tlr: 0.00024 tnm: 0.51 Lm: 7.325 (7.325) Lt: 6.818 (6.818) Accm: 1.46 (1.46) Acct: 1.98 (1.98) proj_loss: -0.4069 (-0.4069) time: 0.3567 data: 0.0003 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.51 Lm: 7.303 (7.303) Lt: 6.825 (6.825) Accm: 1.84 (1.84) Acct: 2.60 (2.60) proj_loss: -0.4214 (-0.4214) time: 0.3500 data: 0.0003 [11-22 17:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.51 Lm: 7.430 (7.430) Lt: 6.965 (6.965) Accm: 1.41 (1.41) Acct: 2.15 (2.15) proj_loss: -0.4124 (-0.4124) time: 0.3505 data: 0.0004 [11-22 17:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.54 Lm: 7.356 (7.356) Lt: 6.867 (6.867) Accm: 1.49 (1.49) Acct: 2.16 (2.16) proj_loss: -0.4216 (-0.4216) time: 0.3636 data: 0.0003 [11-22 17:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.54 Lm: 7.356 (7.356) Lt: 6.815 (6.815) Accm: 1.46 (1.46) Acct: 2.13 (2.13) proj_loss: -0.4087 (-0.4087) time: 0.3636 data: 0.0003 [11-22 17:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.54 Lm: 7.314 (7.314) Lt: 6.824 (6.824) Accm: 1.53 (1.53) Acct: 2.07 (2.07) proj_loss: -0.4127 (-0.4127) time: 0.3636 data: 0.0002 [11-22 17:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.54 Lm: 7.340 (7.340) Lt: 6.841 (6.841) Accm: 1.64 (1.64) Acct: 2.17 (2.17) proj_loss: -0.4212 (-0.4212) time: 0.3636 data: 0.0002 [11-22 17:21:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.50 Lm: 7.323 (7.334) Lt: 6.825 (6.831) Accm: 1.63 (1.63) Acct: 2.31 (2.22) proj_loss: -0.4209 (-0.4185) time: 0.3599 data: 0.0003 [11-22 17:21:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.50 Lm: 7.367 (7.379) Lt: 6.825 (6.849) Accm: 1.41 (1.44) Acct: 2.08 (2.12) proj_loss: -0.4126 (-0.4113) time: 0.3599 data: 0.0003 [11-22 17:21:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.50 Lm: 7.430 (7.381) Lt: 6.934 (6.889) Accm: 1.41 (1.45) Acct: 2.15 (2.09) proj_loss: -0.4124 (-0.4133) time: 0.3599 data: 0.0003 [11-22 17:21:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.50 Lm: 7.306 (7.311) Lt: 6.818 (6.808) Accm: 1.60 (1.56) Acct: 2.17 (2.16) proj_loss: -0.4069 (-0.4099) time: 0.3598 data: 0.0003 [11-22 17:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.60 Lm: 7.316 (7.318) Lt: 6.821 (6.812) Accm: 1.56 (1.55) Acct: 2.25 (2.20) proj_loss: -0.4127 (-0.4141) time: 0.3640 data: 0.0003 [11-22 17:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.60 Lm: 7.315 (7.328) Lt: 6.818 (6.815) Accm: 1.58 (1.61) Acct: 2.31 (2.24) proj_loss: -0.4170 (-0.4151) time: 0.3641 data: 0.0003 [11-22 17:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.60 Lm: 7.357 (7.371) Lt: 6.830 (6.846) Accm: 1.45 (1.46) Acct: 2.13 (2.13) proj_loss: -0.4103 (-0.4105) time: 0.3641 data: 0.0003 [11-22 17:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.60 Lm: 7.356 (7.323) Lt: 6.851 (6.820) Accm: 1.49 (1.58) Acct: 2.16 (2.29) proj_loss: -0.4075 (-0.4106) time: 0.3640 data: 0.0003 [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.281 (7.298) Lt: 6.768 (6.797) Accm: 1.57 (1.68) Acct: 2.17 (2.40) proj_loss: -0.4124 (-0.4127) time: 0.3667 data: 0.0015 [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:06 (0.363 s / it) [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.348 (7.358) Lt: 6.825 (6.826) Accm: 1.49 (1.48) Acct: 2.17 (2.18) proj_loss: -0.4126 (-0.4116) time: 0.3667 data: 0.0017 [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.323 (7.342) Lt: 6.825 (6.823) Accm: 1.54 (1.57) Acct: 2.31 (2.20) proj_loss: -0.4209 (-0.4163) time: 0.3667 data: 0.0019 [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.51 Lm: 7.325 (7.322) Lt: 6.823 (6.814) Accm: 1.53 (1.51) Acct: 2.17 (2.17) proj_loss: -0.4185 (-0.4164) time: 0.3667 data: 0.0016 [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:06 (0.363 s / it) [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:06 (0.363 s / it) [11-22 17:27:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:06 (0.363 s / it) [11-22 17:27:00] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.358 (7.358), Lt: 6.854 (6.854), Acc m&t: 1.52 2.25, Remain: 2 days, 9:40:36, Finish: 2024-11-24 11:07 [11-22 17:27:00] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.358 (7.358), Lt: 6.854 (6.854), Acc m&t: 1.52 2.25, Remain: 2 days, 9:43:18, Finish: 2024-11-24 11:10 [11-22 17:27:00] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.358 (7.358), Lt: 6.854 (6.854), Acc m&t: 1.52 2.25, Remain: 2 days, 9:43:31, Finish: 2024-11-24 11:10 [11-22 17:27:00] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.358 (7.358), Lt: 6.854 (6.854), Acc m&t: 1.52 2.25, Remain: 2 days, 9:42:07, Finish: 2024-11-24 11:09 [11-22 17:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:04 tlr: 0.00024 tnm: 0.51 Lm: 7.286 (7.286) Lt: 6.747 (6.747) Accm: 1.72 (1.72) Acct: 2.36 (2.36) proj_loss: -0.4146 (-0.4146) time: 0.3625 data: 0.0003 [11-22 17:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:06 tlr: 0.00024 tnm: 0.51 Lm: 7.336 (7.336) Lt: 6.845 (6.845) Accm: 1.72 (1.72) Acct: 2.58 (2.58) proj_loss: -0.4054 (-0.4054) time: 0.3632 data: 0.0003 [11-22 17:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:40 tlr: 0.00024 tnm: 0.51 Lm: 7.289 (7.289) Lt: 6.781 (6.781) Accm: 1.57 (1.57) Acct: 2.44 (2.44) proj_loss: -0.4122 (-0.4122) time: 0.3836 data: 0.0003 [11-22 17:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:01 tlr: 0.00024 tnm: 0.51 Lm: 7.340 (7.340) Lt: 6.816 (6.816) Accm: 1.37 (1.37) Acct: 2.15 (2.15) proj_loss: -0.4155 (-0.4155) time: 0.3605 data: 0.0004 [11-22 17:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.53 Lm: 7.302 (7.302) Lt: 6.765 (6.765) Accm: 1.37 (1.37) Acct: 2.10 (2.10) proj_loss: -0.4133 (-0.4133) time: 0.3617 data: 0.0003 [11-22 17:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.53 Lm: 7.333 (7.333) Lt: 6.812 (6.812) Accm: 1.57 (1.57) Acct: 2.34 (2.34) proj_loss: -0.4072 (-0.4072) time: 0.3617 data: 0.0003 [11-22 17:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.53 Lm: 7.257 (7.257) Lt: 6.729 (6.729) Accm: 1.67 (1.67) Acct: 2.64 (2.64) proj_loss: -0.4096 (-0.4096) time: 0.3617 data: 0.0003 [11-22 17:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.53 Lm: 7.352 (7.352) Lt: 6.820 (6.820) Accm: 1.64 (1.64) Acct: 2.58 (2.58) proj_loss: -0.4074 (-0.4074) time: 0.3617 data: 0.0003 [11-22 17:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.57 Lm: 7.369 (7.360) Lt: 6.845 (6.831) Accm: 1.57 (1.55) Acct: 2.58 (2.40) proj_loss: -0.4094 (-0.4176) time: 0.3629 data: 0.0003 [11-22 17:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.57 Lm: 7.289 (7.291) Lt: 6.781 (6.763) Accm: 1.57 (1.54) Acct: 2.44 (2.35) proj_loss: -0.4122 (-0.4111) time: 0.3629 data: 0.0003 [11-22 17:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.57 Lm: 7.368 (7.344) Lt: 6.858 (6.828) Accm: 1.53 (1.55) Acct: 2.32 (2.25) proj_loss: -0.4146 (-0.4128) time: 0.3629 data: 0.0003 [11-22 17:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.57 Lm: 7.269 (7.291) Lt: 6.748 (6.759) Accm: 1.37 (1.42) Acct: 2.15 (2.17) proj_loss: -0.4155 (-0.4195) time: 0.3629 data: 0.0003 [11-22 17:34:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.54 Lm: 7.282 (7.292) Lt: 6.768 (6.767) Accm: 1.45 (1.47) Acct: 2.23 (2.23) proj_loss: -0.4237 (-0.4259) time: 0.3635 data: 0.0003 [11-22 17:34:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.54 Lm: 7.329 (7.331) Lt: 6.803 (6.808) Accm: 1.62 (1.60) Acct: 2.34 (2.35) proj_loss: -0.4142 (-0.4130) time: 0.3635 data: 0.0002 [11-22 17:34:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.54 Lm: 7.276 (7.284) Lt: 6.732 (6.743) Accm: 1.54 (1.53) Acct: 2.39 (2.35) proj_loss: -0.4096 (-0.4097) time: 0.3635 data: 0.0002 [11-22 17:34:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.54 Lm: 7.352 (7.347) Lt: 6.820 (6.822) Accm: 1.64 (1.60) Acct: 2.58 (2.46) proj_loss: -0.4168 (-0.4193) time: 0.3635 data: 0.0002 [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.336 (7.332) Lt: 6.796 (6.808) Accm: 1.67 (1.61) Acct: 2.58 (2.44) proj_loss: -0.4222 (-0.4199) time: 0.3642 data: 0.0017 [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:14 (0.368 s / it) [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.269 (7.272) Lt: 6.748 (6.732) Accm: 1.53 (1.58) Acct: 2.31 (2.40) proj_loss: -0.4319 (-0.4287) time: 0.3642 data: 0.0017 [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.291 (7.303) Lt: 6.748 (6.772) Accm: 1.72 (1.63) Acct: 2.36 (2.46) proj_loss: -0.4146 (-0.4156) time: 0.3642 data: 0.0016 [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.262 (7.255) Lt: 6.683 (6.709) Accm: 1.57 (1.61) Acct: 2.44 (2.48) proj_loss: -0.4122 (-0.4135) time: 0.3642 data: 0.0015 [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:14 (0.368 s / it) [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:14 (0.368 s / it) [11-22 17:37:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:14 (0.368 s / it) [11-22 17:37:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.300 (7.300), Lt: 6.766 (6.766), Acc m&t: 1.61 2.42, Remain: 2 days, 9:17:49, Finish: 2024-11-24 10:55 [11-22 17:37:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.300 (7.300), Lt: 6.766 (6.766), Acc m&t: 1.61 2.42, Remain: 2 days, 9:18:28, Finish: 2024-11-24 10:55 [11-22 17:37:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.300 (7.300), Lt: 6.766 (6.766), Acc m&t: 1.61 2.42, Remain: 2 days, 9:17:57, Finish: 2024-11-24 10:55 [11-22 17:37:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.300 (7.300), Lt: 6.766 (6.766), Acc m&t: 1.61 2.42, Remain: 2 days, 9:16:59, Finish: 2024-11-24 10:54 [11-22 17:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:33 tlr: 0.00024 tnm: 0.54 Lm: 7.322 (7.322) Lt: 6.777 (6.777) Accm: 1.39 (1.39) Acct: 2.10 (2.10) proj_loss: -0.4250 (-0.4250) time: 0.3439 data: 0.0004 [11-22 17:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.54 Lm: 7.275 (7.275) Lt: 6.696 (6.696) Accm: 1.69 (1.69) Acct: 2.63 (2.63) proj_loss: -0.4189 (-0.4189) time: 0.3441 data: 0.0003 [11-22 17:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.54 Lm: 7.284 (7.284) Lt: 6.733 (6.733) Accm: 1.65 (1.65) Acct: 2.46 (2.46) proj_loss: -0.4341 (-0.4341) time: 0.3440 data: 0.0003 [11-22 17:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.54 Lm: 7.281 (7.281) Lt: 6.724 (6.724) Accm: 1.56 (1.56) Acct: 2.38 (2.38) proj_loss: -0.4265 (-0.4265) time: 0.3443 data: 0.0004 [11-22 17:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.52 Lm: 7.252 (7.252) Lt: 6.709 (6.709) Accm: 1.70 (1.70) Acct: 2.44 (2.44) proj_loss: -0.4363 (-0.4363) time: 0.3663 data: 0.0003 [11-22 17:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.52 Lm: 7.319 (7.319) Lt: 6.772 (6.772) Accm: 1.48 (1.48) Acct: 2.20 (2.20) proj_loss: -0.4252 (-0.4252) time: 0.3663 data: 0.0003 [11-22 17:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.52 Lm: 7.217 (7.217) Lt: 6.636 (6.636) Accm: 1.86 (1.86) Acct: 2.86 (2.86) proj_loss: -0.4171 (-0.4171) time: 0.3663 data: 0.0003 [11-22 17:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.52 Lm: 7.289 (7.289) Lt: 6.734 (6.734) Accm: 1.71 (1.71) Acct: 2.57 (2.57) proj_loss: -0.4241 (-0.4241) time: 0.3663 data: 0.0003 [11-22 17:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.51 Lm: 7.284 (7.254) Lt: 6.733 (6.705) Accm: 1.77 (1.75) Acct: 2.69 (2.66) proj_loss: -0.4304 (-0.4262) time: 0.3642 data: 0.0003 [11-22 17:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.51 Lm: 7.275 (7.244) Lt: 6.696 (6.673) Accm: 1.69 (1.76) Acct: 2.63 (2.73) proj_loss: -0.4189 (-0.4217) time: 0.3642 data: 0.0003 [11-22 17:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.51 Lm: 7.315 (7.308) Lt: 6.774 (6.773) Accm: 1.56 (1.54) Acct: 2.31 (2.35) proj_loss: -0.4254 (-0.4261) time: 0.3642 data: 0.0003 [11-22 17:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.51 Lm: 7.256 (7.253) Lt: 6.724 (6.720) Accm: 1.70 (1.70) Acct: 2.48 (2.45) proj_loss: -0.4265 (-0.4326) time: 0.3642 data: 0.0003 [11-22 17:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.269 (7.272) Lt: 6.733 (6.735) Accm: 1.63 (1.62) Acct: 2.43 (2.40) proj_loss: -0.4287 (-0.4322) time: 0.3625 data: 0.0003 [11-22 17:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.217 (7.220) Lt: 6.640 (6.651) Accm: 1.86 (1.85) Acct: 2.86 (2.90) proj_loss: -0.4246 (-0.4238) time: 0.3625 data: 0.0002 [11-22 17:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.234 (7.223) Lt: 6.690 (6.663) Accm: 1.80 (1.77) Acct: 2.76 (2.71) proj_loss: -0.4257 (-0.4249) time: 0.3625 data: 0.0003 [11-22 17:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.301 (7.281) Lt: 6.771 (6.748) Accm: 1.61 (1.58) Acct: 2.38 (2.38) proj_loss: -0.4266 (-0.4277) time: 0.3625 data: 0.0002 [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.287 (7.265) Lt: 6.768 (6.719) Accm: 1.67 (1.64) Acct: 2.44 (2.51) proj_loss: -0.4254 (-0.4265) time: 0.3606 data: 0.0015 [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.275 (7.249) Lt: 6.696 (6.688) Accm: 1.69 (1.77) Acct: 2.63 (2.72) proj_loss: -0.4283 (-0.4247) time: 0.3606 data: 0.0016 [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.266 (7.271) Lt: 6.724 (6.727) Accm: 1.70 (1.67) Acct: 2.48 (2.51) proj_loss: -0.4276 (-0.4313) time: 0.3606 data: 0.0020 [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.243 (7.227) Lt: 6.648 (6.659) Accm: 1.77 (1.75) Acct: 2.69 (2.64) proj_loss: -0.4211 (-0.4240) time: 0.3607 data: 0.0021 [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:47:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:47:19] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.256 (7.256), Lt: 6.708 (6.708), Acc m&t: 1.68 2.54, Remain: 2 days, 8:38:50, Finish: 2024-11-24 10:26 [11-22 17:47:19] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.256 (7.256), Lt: 6.708 (6.708), Acc m&t: 1.68 2.54, Remain: 2 days, 8:38:17, Finish: 2024-11-24 10:25 [11-22 17:47:19] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.256 (7.256), Lt: 6.708 (6.708), Acc m&t: 1.68 2.54, Remain: 2 days, 8:38:26, Finish: 2024-11-24 10:25 [11-22 17:47:19] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.256 (7.256), Lt: 6.708 (6.708), Acc m&t: 1.68 2.54, Remain: 2 days, 8:38:01, Finish: 2024-11-24 10:25 [11-22 17:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:09:43 tlr: 0.00024 tnm: 0.56 Lm: 7.292 (7.292) Lt: 6.777 (6.777) Accm: 1.70 (1.70) Acct: 2.43 (2.43) proj_loss: -0.4249 (-0.4249) time: 0.3498 data: 0.0004 [11-22 17:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:09:43 tlr: 0.00024 tnm: 0.56 Lm: 7.314 (7.314) Lt: 6.785 (6.785) Accm: 1.65 (1.65) Acct: 2.48 (2.48) proj_loss: -0.4285 (-0.4285) time: 0.3495 data: 0.0003 [11-22 17:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.56 Lm: 7.207 (7.207) Lt: 6.662 (6.662) Accm: 1.89 (1.89) Acct: 2.70 (2.70) proj_loss: -0.4187 (-0.4187) time: 0.3501 data: 0.0004 [11-22 17:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.56 Lm: 7.199 (7.199) Lt: 6.555 (6.555) Accm: 1.77 (1.77) Acct: 2.88 (2.88) proj_loss: -0.4078 (-0.4078) time: 0.3645 data: 0.0004 [11-22 17:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.51 Lm: 7.229 (7.229) Lt: 6.624 (6.624) Accm: 1.81 (1.81) Acct: 2.79 (2.79) proj_loss: -0.4223 (-0.4223) time: 0.3636 data: 0.0003 [11-22 17:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.51 Lm: 7.184 (7.184) Lt: 6.600 (6.600) Accm: 1.79 (1.79) Acct: 2.58 (2.58) proj_loss: -0.4157 (-0.4157) time: 0.3636 data: 0.0003 [11-22 17:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.51 Lm: 7.241 (7.241) Lt: 6.672 (6.672) Accm: 1.86 (1.86) Acct: 2.82 (2.82) proj_loss: -0.4286 (-0.4286) time: 0.3636 data: 0.0002 [11-22 17:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.51 Lm: 7.228 (7.228) Lt: 6.670 (6.670) Accm: 1.81 (1.81) Acct: 2.67 (2.67) proj_loss: -0.4176 (-0.4176) time: 0.3636 data: 0.0003 [11-22 17:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.164 (7.201) Lt: 6.562 (6.633) Accm: 1.88 (1.83) Acct: 2.72 (2.69) proj_loss: -0.4249 (-0.4212) time: 0.3616 data: 0.0003 [11-22 17:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.161 (7.171) Lt: 6.538 (6.575) Accm: 1.89 (1.91) Acct: 2.70 (2.74) proj_loss: -0.4187 (-0.4178) time: 0.3616 data: 0.0003 [11-22 17:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.248 (7.235) Lt: 6.678 (6.642) Accm: 1.78 (1.80) Acct: 2.81 (2.79) proj_loss: -0.4368 (-0.4291) time: 0.3616 data: 0.0003 [11-22 17:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.168 (7.213) Lt: 6.579 (6.641) Accm: 1.91 (1.88) Acct: 2.70 (2.78) proj_loss: -0.4285 (-0.4261) time: 0.3616 data: 0.0002 [11-22 17:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.46 Lm: 7.241 (7.241) Lt: 6.665 (6.668) Accm: 1.78 (1.82) Acct: 2.59 (2.71) proj_loss: -0.4286 (-0.4282) time: 0.3638 data: 0.0003 [11-22 17:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.46 Lm: 7.184 (7.198) Lt: 6.600 (6.617) Accm: 1.79 (1.83) Acct: 2.58 (2.64) proj_loss: -0.4204 (-0.4231) time: 0.3638 data: 0.0003 [11-22 17:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.46 Lm: 7.223 (7.223) Lt: 6.658 (6.641) Accm: 1.78 (1.78) Acct: 2.75 (2.71) proj_loss: -0.4257 (-0.4255) time: 0.3638 data: 0.0003 [11-22 17:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.46 Lm: 7.190 (7.205) Lt: 6.622 (6.645) Accm: 1.79 (1.79) Acct: 2.57 (2.60) proj_loss: -0.4266 (-0.4250) time: 0.3638 data: 0.0003 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.164 (7.170) Lt: 6.562 (6.608) Accm: 1.88 (1.84) Acct: 2.72 (2.67) proj_loss: -0.4277 (-0.4255) time: 0.3661 data: 0.0017 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.248 (7.232) Lt: 6.678 (6.649) Accm: 1.77 (1.72) Acct: 2.70 (2.63) proj_loss: -0.4297 (-0.4263) time: 0.3662 data: 0.0018 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.168 (7.219) Lt: 6.586 (6.652) Accm: 1.86 (1.83) Acct: 2.51 (2.67) proj_loss: -0.4287 (-0.4300) time: 0.3662 data: 0.0017 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.179 (7.194) Lt: 6.596 (6.613) Accm: 1.69 (1.79) Acct: 2.63 (2.64) proj_loss: -0.4220 (-0.4246) time: 0.3661 data: 0.0015 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:04 (0.362 s / it) [11-22 17:57:24] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.233 (7.233), Lt: 6.671 (6.671), Acc m&t: 1.72 2.61, Remain: 2 days, 9:19:14, Finish: 2024-11-24 11:16 [11-22 17:57:24] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.233 (7.233), Lt: 6.671 (6.671), Acc m&t: 1.72 2.61, Remain: 2 days, 9:19:13, Finish: 2024-11-24 11:16 [11-22 17:57:24] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.233 (7.233), Lt: 6.671 (6.671), Acc m&t: 1.72 2.61, Remain: 2 days, 9:18:49, Finish: 2024-11-24 11:16 [11-22 17:57:24] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.233 (7.233), Lt: 6.671 (6.671), Acc m&t: 1.72 2.61, Remain: 2 days, 9:20:04, Finish: 2024-11-24 11:17 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:47 tlr: 0.00024 tnm: 0.44 Lm: 7.247 (7.247) Lt: 6.727 (6.727) Accm: 1.57 (1.57) Acct: 2.22 (2.22) proj_loss: -0.4267 (-0.4267) time: 0.3521 data: 0.0003 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:49 tlr: 0.00024 tnm: 0.44 Lm: 7.026 (7.026) Lt: 6.404 (6.404) Accm: 2.11 (2.11) Acct: 3.34 (3.34) proj_loss: -0.4292 (-0.4292) time: 0.3535 data: 0.0003 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:48 tlr: 0.00024 tnm: 0.44 Lm: 7.071 (7.071) Lt: 6.473 (6.473) Accm: 2.01 (2.01) Acct: 3.19 (3.19) proj_loss: -0.4381 (-0.4381) time: 0.3525 data: 0.0004 [11-22 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:49 tlr: 0.00024 tnm: 0.44 Lm: 7.263 (7.263) Lt: 6.729 (6.729) Accm: 1.57 (1.57) Acct: 2.43 (2.43) proj_loss: -0.4276 (-0.4276) time: 0.3530 data: 0.0004 [11-22 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.48 Lm: 7.222 (7.222) Lt: 6.649 (6.649) Accm: 1.74 (1.74) Acct: 2.62 (2.62) proj_loss: -0.4291 (-0.4291) time: 0.3620 data: 0.0003 [11-22 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.48 Lm: 7.085 (7.085) Lt: 6.482 (6.482) Accm: 1.96 (1.96) Acct: 3.09 (3.09) proj_loss: -0.4297 (-0.4297) time: 0.3620 data: 0.0003 [11-22 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.48 Lm: 7.153 (7.153) Lt: 6.617 (6.617) Accm: 1.78 (1.78) Acct: 2.70 (2.70) proj_loss: -0.4391 (-0.4391) time: 0.3620 data: 0.0003 [11-22 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.48 Lm: 7.060 (7.060) Lt: 6.451 (6.451) Accm: 2.01 (2.01) Acct: 3.19 (3.19) proj_loss: -0.4429 (-0.4429) time: 0.3620 data: 0.0003 [11-22 18:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.49 Lm: 7.071 (7.120) Lt: 6.473 (6.505) Accm: 2.01 (1.92) Acct: 3.19 (3.05) proj_loss: -0.4381 (-0.4363) time: 0.3618 data: 0.0002 [11-22 18:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.49 Lm: 7.144 (7.137) Lt: 6.561 (6.545) Accm: 1.81 (1.84) Acct: 2.84 (2.96) proj_loss: -0.4292 (-0.4241) time: 0.3618 data: 0.0003 [11-22 18:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.49 Lm: 7.242 (7.183) Lt: 6.687 (6.640) Accm: 1.79 (1.78) Acct: 2.72 (2.71) proj_loss: -0.4267 (-0.4349) time: 0.3618 data: 0.0003 [11-22 18:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.49 Lm: 7.205 (7.216) Lt: 6.574 (6.624) Accm: 1.76 (1.75) Acct: 2.74 (2.66) proj_loss: -0.4276 (-0.4208) time: 0.3618 data: 0.0003 [11-22 18:04:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.209 (7.215) Lt: 6.608 (6.629) Accm: 1.72 (1.73) Acct: 2.68 (2.65) proj_loss: -0.4276 (-0.4225) time: 0.3600 data: 0.0003 [11-22 18:04:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.156 (7.152) Lt: 6.544 (6.548) Accm: 1.94 (1.91) Acct: 3.01 (3.00) proj_loss: -0.4354 (-0.4354) time: 0.3600 data: 0.0002 [11-22 18:04:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.118 (7.126) Lt: 6.519 (6.528) Accm: 1.75 (1.80) Acct: 2.76 (2.89) proj_loss: -0.4281 (-0.4248) time: 0.3600 data: 0.0003 [11-22 18:04:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.50 Lm: 7.245 (7.221) Lt: 6.707 (6.674) Accm: 1.68 (1.71) Acct: 2.47 (2.55) proj_loss: -0.4287 (-0.4338) time: 0.3601 data: 0.0003 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.242 (7.214) Lt: 6.687 (6.667) Accm: 1.77 (1.72) Acct: 2.58 (2.56) proj_loss: -0.4307 (-0.4341) time: 0.3617 data: 0.0016 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:17 (0.370 s / it) [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.144 (7.134) Lt: 6.561 (6.538) Accm: 1.81 (1.83) Acct: 2.84 (2.91) proj_loss: -0.4282 (-0.4255) time: 0.3617 data: 0.0017 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.143 (7.150) Lt: 6.596 (6.558) Accm: 1.88 (1.89) Acct: 2.84 (2.95) proj_loss: -0.4381 (-0.4375) time: 0.3617 data: 0.0021 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.205 (7.207) Lt: 6.582 (6.619) Accm: 1.76 (1.78) Acct: 2.74 (2.76) proj_loss: -0.4276 (-0.4243) time: 0.3617 data: 0.0020 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:17 (0.370 s / it) [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:17 (0.370 s / it) [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:17 (0.370 s / it) [11-22 18:07:42] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.182 (7.182), Lt: 6.606 (6.606), Acc m&t: 1.82 2.77, Remain: 2 days, 8:09:09, Finish: 2024-11-24 10:16 [11-22 18:07:42] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.182 (7.182), Lt: 6.606 (6.606), Acc m&t: 1.82 2.77, Remain: 2 days, 8:08:49, Finish: 2024-11-24 10:16 [11-22 18:07:42] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.182 (7.182), Lt: 6.606 (6.606), Acc m&t: 1.82 2.77, Remain: 2 days, 8:08:53, Finish: 2024-11-24 10:16 [11-22 18:07:42] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.182 (7.182), Lt: 6.606 (6.606), Acc m&t: 1.82 2.77, Remain: 2 days, 8:07:57, Finish: 2024-11-24 10:15 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:50 tlr: 0.00024 tnm: 0.46 Lm: 6.983 (6.983) Lt: 6.373 (6.373) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.4216 (-0.4216) time: 0.3538 data: 0.0004 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:50 tlr: 0.00024 tnm: 0.46 Lm: 7.248 (7.248) Lt: 6.666 (6.666) Accm: 1.69 (1.69) Acct: 2.55 (2.55) proj_loss: -0.4419 (-0.4419) time: 0.3536 data: 0.0004 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:51 tlr: 0.00024 tnm: 0.46 Lm: 7.060 (7.060) Lt: 6.497 (6.497) Accm: 2.30 (2.30) Acct: 3.51 (3.51) proj_loss: -0.4280 (-0.4280) time: 0.3543 data: 0.0004 [11-22 18:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:50 tlr: 0.00024 tnm: 0.46 Lm: 7.149 (7.149) Lt: 6.588 (6.588) Accm: 2.00 (2.00) Acct: 3.00 (3.00) proj_loss: -0.4269 (-0.4269) time: 0.3540 data: 0.0004 [11-22 18:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.50 Lm: 7.154 (7.154) Lt: 6.569 (6.569) Accm: 1.96 (1.96) Acct: 2.84 (2.84) proj_loss: -0.4327 (-0.4327) time: 0.3620 data: 0.0003 [11-22 18:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.50 Lm: 7.176 (7.176) Lt: 6.592 (6.592) Accm: 1.82 (1.82) Acct: 2.72 (2.72) proj_loss: -0.4248 (-0.4248) time: 0.3620 data: 0.0003 [11-22 18:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.50 Lm: 7.062 (7.062) Lt: 6.471 (6.471) Accm: 2.20 (2.20) Acct: 3.31 (3.31) proj_loss: -0.4376 (-0.4376) time: 0.3620 data: 0.0003 [11-22 18:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.50 Lm: 7.237 (7.237) Lt: 6.662 (6.662) Accm: 1.82 (1.82) Acct: 2.74 (2.74) proj_loss: -0.4345 (-0.4345) time: 0.3620 data: 0.0003 [11-22 18:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:03 tlr: 0.00024 tnm: 0.48 Lm: 7.248 (7.241) Lt: 6.666 (6.664) Accm: 1.72 (1.79) Acct: 2.79 (2.75) proj_loss: -0.4300 (-0.4330) time: 0.3647 data: 0.0003 [11-22 18:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:03 tlr: 0.00024 tnm: 0.48 Lm: 7.156 (7.154) Lt: 6.588 (6.576) Accm: 1.93 (1.95) Acct: 2.91 (2.86) proj_loss: -0.4386 (-0.4431) time: 0.3647 data: 0.0003 [11-22 18:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:03 tlr: 0.00024 tnm: 0.48 Lm: 7.064 (7.098) Lt: 6.497 (6.517) Accm: 2.10 (2.07) Acct: 3.10 (3.16) proj_loss: -0.4473 (-0.4452) time: 0.3647 data: 0.0003 [11-22 18:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:03 tlr: 0.00024 tnm: 0.48 Lm: 7.135 (7.163) Lt: 6.581 (6.588) Accm: 1.98 (1.87) Acct: 2.91 (2.78) proj_loss: -0.4280 (-0.4322) time: 0.3647 data: 0.0003 [11-22 18:15:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.43 Lm: 7.128 (7.152) Lt: 6.546 (6.569) Accm: 1.93 (1.88) Acct: 2.94 (2.83) proj_loss: -0.4310 (-0.4327) time: 0.3598 data: 0.0003 [11-22 18:15:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.43 Lm: 7.117 (7.136) Lt: 6.553 (6.555) Accm: 1.96 (2.01) Acct: 2.98 (3.08) proj_loss: -0.4469 (-0.4455) time: 0.3598 data: 0.0002 [11-22 18:15:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.43 Lm: 7.237 (7.217) Lt: 6.662 (6.631) Accm: 1.82 (1.82) Acct: 2.86 (2.82) proj_loss: -0.4360 (-0.4362) time: 0.3598 data: 0.0003 [11-22 18:15:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.43 Lm: 7.157 (7.165) Lt: 6.590 (6.594) Accm: 1.92 (1.91) Acct: 2.80 (2.78) proj_loss: -0.4412 (-0.4432) time: 0.3598 data: 0.0003 [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.156 (7.154) Lt: 6.588 (6.580) Accm: 1.93 (1.92) Acct: 2.91 (2.83) proj_loss: -0.4438 (-0.4475) time: 0.3653 data: 0.0020 [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:04 (0.362 s / it) [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.121 (7.145) Lt: 6.516 (6.558) Accm: 1.89 (1.88) Acct: 2.96 (2.88) proj_loss: -0.4280 (-0.4311) time: 0.3653 data: 0.0017 [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.227 (7.195) Lt: 6.658 (6.606) Accm: 1.87 (1.83) Acct: 2.93 (2.85) proj_loss: -0.4419 (-0.4389) time: 0.3653 data: 0.0017 [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.166 (7.142) Lt: 6.579 (6.560) Accm: 1.83 (1.95) Acct: 2.86 (2.94) proj_loss: -0.4465 (-0.4443) time: 0.3653 data: 0.0019 [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:04 (0.362 s / it) [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:04 (0.362 s / it) [11-22 18:17:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:04 (0.362 s / it) [11-22 18:17:46] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.177 (7.177), Lt: 6.595 (6.595), Acc m&t: 1.84 2.78, Remain: 2 days, 8:41:55, Finish: 2024-11-24 10:59 [11-22 18:17:46] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.177 (7.177), Lt: 6.595 (6.595), Acc m&t: 1.84 2.78, Remain: 2 days, 8:41:45, Finish: 2024-11-24 10:59 [11-22 18:17:46] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.177 (7.177), Lt: 6.595 (6.595), Acc m&t: 1.84 2.78, Remain: 2 days, 8:41:45, Finish: 2024-11-24 10:59 [11-22 18:17:46] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.177 (7.177), Lt: 6.595 (6.595), Acc m&t: 1.84 2.78, Remain: 2 days, 8:41:30, Finish: 2024-11-24 10:59 [11-22 18:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.42 Lm: 7.108 (7.108) Lt: 6.482 (6.482) Accm: 1.97 (1.97) Acct: 3.36 (3.36) proj_loss: -0.4394 (-0.4394) time: 0.3445 data: 0.0003 [11-22 18:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:09:36 tlr: 0.00024 tnm: 0.42 Lm: 6.965 (6.965) Lt: 6.370 (6.370) Accm: 2.08 (2.08) Acct: 2.94 (2.94) proj_loss: -0.4390 (-0.4390) time: 0.3454 data: 0.0004 [11-22 18:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.42 Lm: 7.157 (7.157) Lt: 6.608 (6.608) Accm: 1.75 (1.75) Acct: 2.62 (2.62) proj_loss: -0.4412 (-0.4412) time: 0.3448 data: 0.0004 [11-22 18:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:09:36 tlr: 0.00024 tnm: 0.42 Lm: 7.162 (7.162) Lt: 6.594 (6.594) Accm: 1.90 (1.90) Acct: 2.67 (2.67) proj_loss: -0.4428 (-0.4428) time: 0.3455 data: 0.0004 [11-22 18:20:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.42 Lm: 7.231 (7.231) Lt: 6.671 (6.671) Accm: 1.64 (1.64) Acct: 2.37 (2.37) proj_loss: -0.4432 (-0.4432) time: 0.3642 data: 0.0003 [11-22 18:20:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.42 Lm: 7.074 (7.074) Lt: 6.448 (6.448) Accm: 2.03 (2.03) Acct: 3.28 (3.28) proj_loss: -0.4446 (-0.4446) time: 0.3642 data: 0.0003 [11-22 18:20:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.42 Lm: 7.165 (7.165) Lt: 6.605 (6.605) Accm: 1.91 (1.91) Acct: 2.94 (2.94) proj_loss: -0.4440 (-0.4440) time: 0.3642 data: 0.0003 [11-22 18:20:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.42 Lm: 7.060 (7.060) Lt: 6.472 (6.472) Accm: 2.00 (2.00) Acct: 2.89 (2.89) proj_loss: -0.4422 (-0.4422) time: 0.3642 data: 0.0003 [11-22 18:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.155 (7.113) Lt: 6.573 (6.523) Accm: 1.91 (1.86) Acct: 2.84 (2.70) proj_loss: -0.4390 (-0.4400) time: 0.3643 data: 0.0003 [11-22 18:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.108 (7.088) Lt: 6.482 (6.474) Accm: 2.06 (2.04) Acct: 3.20 (3.25) proj_loss: -0.4497 (-0.4463) time: 0.3643 data: 0.0003 [11-22 18:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.200 (7.221) Lt: 6.631 (6.658) Accm: 1.78 (1.68) Acct: 2.67 (2.51) proj_loss: -0.4435 (-0.4447) time: 0.3643 data: 0.0002 [11-22 18:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.161 (7.163) Lt: 6.603 (6.586) Accm: 1.94 (1.92) Acct: 3.13 (3.01) proj_loss: -0.4456 (-0.4445) time: 0.3643 data: 0.0003 [11-22 18:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.48 Lm: 7.167 (7.172) Lt: 6.605 (6.600) Accm: 1.86 (1.89) Acct: 2.93 (2.94) proj_loss: -0.4434 (-0.4380) time: 0.3639 data: 0.0003 [11-22 18:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.48 Lm: 7.181 (7.191) Lt: 6.613 (6.609) Accm: 1.84 (1.78) Acct: 2.74 (2.69) proj_loss: -0.4432 (-0.4400) time: 0.3639 data: 0.0003 [11-22 18:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.48 Lm: 7.074 (7.055) Lt: 6.448 (6.432) Accm: 2.04 (2.04) Acct: 3.20 (3.24) proj_loss: -0.4497 (-0.4472) time: 0.3639 data: 0.0003 [11-22 18:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.48 Lm: 7.166 (7.129) Lt: 6.546 (6.522) Accm: 1.82 (1.83) Acct: 2.68 (2.65) proj_loss: -0.4422 (-0.4449) time: 0.3639 data: 0.0003 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.155 (7.107) Lt: 6.519 (6.499) Accm: 1.91 (1.89) Acct: 2.84 (2.79) proj_loss: -0.4454 (-0.4466) time: 0.3639 data: 0.0018 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:05 (0.363 s / it) [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.108 (7.107) Lt: 6.482 (6.503) Accm: 2.03 (1.96) Acct: 3.20 (3.09) proj_loss: -0.4497 (-0.4477) time: 0.3639 data: 0.0019 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.161 (7.163) Lt: 6.603 (6.580) Accm: 1.94 (1.95) Acct: 3.13 (3.09) proj_loss: -0.4456 (-0.4398) time: 0.3639 data: 0.0015 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.200 (7.201) Lt: 6.631 (6.624) Accm: 1.90 (1.82) Acct: 2.81 (2.77) proj_loss: -0.4428 (-0.4403) time: 0.3639 data: 0.0015 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:05 (0.363 s / it) [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:05 (0.363 s / it) [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:05 (0.363 s / it) [11-22 18:27:52] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.151 (7.151), Lt: 6.559 (6.559), Acc m&t: 1.88 2.87, Remain: 2 days, 8:13:03, Finish: 2024-11-24 10:40 [11-22 18:27:52] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.151 (7.151), Lt: 6.559 (6.559), Acc m&t: 1.88 2.87, Remain: 2 days, 8:13:02, Finish: 2024-11-24 10:40 [11-22 18:27:52] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.151 (7.151), Lt: 6.559 (6.559), Acc m&t: 1.88 2.87, Remain: 2 days, 8:12:27, Finish: 2024-11-24 10:40 [11-22 18:27:52] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.151 (7.151), Lt: 6.559 (6.559), Acc m&t: 1.88 2.87, Remain: 2 days, 8:13:11, Finish: 2024-11-24 10:41 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.45 Lm: 7.168 (7.168) Lt: 6.558 (6.558) Accm: 1.86 (1.86) Acct: 3.00 (3.00) proj_loss: -0.4506 (-0.4506) time: 0.3428 data: 0.0004 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:09:31 tlr: 0.00024 tnm: 0.45 Lm: 7.052 (7.052) Lt: 6.440 (6.440) Accm: 1.98 (1.98) Acct: 3.36 (3.36) proj_loss: -0.4355 (-0.4355) time: 0.3424 data: 0.0004 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:09:31 tlr: 0.00024 tnm: 0.45 Lm: 7.180 (7.180) Lt: 6.573 (6.573) Accm: 1.89 (1.89) Acct: 2.88 (2.88) proj_loss: -0.4433 (-0.4433) time: 0.3424 data: 0.0004 [11-22 18:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.45 Lm: 7.144 (7.144) Lt: 6.563 (6.563) Accm: 1.89 (1.89) Acct: 3.03 (3.03) proj_loss: -0.4560 (-0.4560) time: 0.3429 data: 0.0003 [11-22 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.46 Lm: 7.133 (7.133) Lt: 6.554 (6.554) Accm: 1.88 (1.88) Acct: 2.91 (2.91) proj_loss: -0.4459 (-0.4459) time: 0.3610 data: 0.0003 [11-22 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.46 Lm: 7.110 (7.110) Lt: 6.512 (6.512) Accm: 1.99 (1.99) Acct: 3.03 (3.03) proj_loss: -0.4464 (-0.4464) time: 0.3610 data: 0.0003 [11-22 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.46 Lm: 7.126 (7.126) Lt: 6.550 (6.550) Accm: 1.88 (1.88) Acct: 3.00 (3.00) proj_loss: -0.4527 (-0.4527) time: 0.3610 data: 0.0003 [11-22 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.46 Lm: 7.137 (7.137) Lt: 6.519 (6.519) Accm: 1.93 (1.93) Acct: 3.00 (3.00) proj_loss: -0.4439 (-0.4439) time: 0.3610 data: 0.0003 [11-22 18:32:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.141 (7.139) Lt: 6.542 (6.526) Accm: 1.89 (1.89) Acct: 2.96 (2.99) proj_loss: -0.4433 (-0.4409) time: 0.3628 data: 0.0003 [11-22 18:32:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.052 (7.085) Lt: 6.440 (6.498) Accm: 1.98 (2.04) Acct: 3.34 (3.12) proj_loss: -0.4546 (-0.4533) time: 0.3628 data: 0.0003 [11-22 18:32:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.144 (7.143) Lt: 6.563 (6.561) Accm: 1.86 (1.86) Acct: 2.81 (2.88) proj_loss: -0.4560 (-0.4529) time: 0.3628 data: 0.0003 [11-22 18:32:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.46 Lm: 7.166 (7.129) Lt: 6.558 (6.532) Accm: 2.05 (2.01) Acct: 3.06 (3.07) proj_loss: -0.4422 (-0.4450) time: 0.3628 data: 0.0003 [11-22 18:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.48 Lm: 7.121 (7.116) Lt: 6.512 (6.515) Accm: 2.08 (2.06) Acct: 3.11 (3.14) proj_loss: -0.4422 (-0.4437) time: 0.4049 data: 0.0003 [11-22 18:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.48 Lm: 7.105 (7.103) Lt: 6.505 (6.516) Accm: 1.92 (2.00) Acct: 3.20 (3.10) proj_loss: -0.4525 (-0.4526) time: 0.4049 data: 0.0003 [11-22 18:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.48 Lm: 7.118 (7.126) Lt: 6.507 (6.513) Accm: 1.85 (1.87) Acct: 2.92 (2.90) proj_loss: -0.4439 (-0.4438) time: 0.4049 data: 0.0002 [11-22 18:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.48 Lm: 7.147 (7.145) Lt: 6.556 (6.557) Accm: 1.85 (1.86) Acct: 2.80 (2.84) proj_loss: -0.4463 (-0.4488) time: 0.4049 data: 0.0003 [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.151 (7.150) Lt: 6.563 (6.561) Accm: 1.84 (1.84) Acct: 2.79 (2.76) proj_loss: -0.4466 (-0.4484) time: 0.3647 data: 0.0018 [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:22 (0.373 s / it) [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.095 (7.116) Lt: 6.492 (6.508) Accm: 1.89 (1.93) Acct: 2.96 (2.94) proj_loss: -0.4445 (-0.4456) time: 0.3647 data: 0.0017 [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.052 (7.076) Lt: 6.440 (6.486) Accm: 1.98 (2.06) Acct: 3.34 (3.17) proj_loss: -0.4546 (-0.4546) time: 0.3647 data: 0.0016 [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.166 (7.132) Lt: 6.558 (6.526) Accm: 2.05 (2.00) Acct: 3.06 (3.05) proj_loss: -0.4422 (-0.4478) time: 0.3647 data: 0.0017 [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:22 (0.373 s / it) [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:22 (0.373 s / it) [11-22 18:38:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:22 (0.373 s / it) [11-22 18:38:15] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.125 (7.125), Lt: 6.528 (6.528), Acc m&t: 1.92 2.93, Remain: 2 days, 8:06:15, Finish: 2024-11-24 10:44 [11-22 18:38:15] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.125 (7.125), Lt: 6.528 (6.528), Acc m&t: 1.92 2.93, Remain: 2 days, 8:06:07, Finish: 2024-11-24 10:44 [11-22 18:38:15] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.125 (7.125), Lt: 6.528 (6.528), Acc m&t: 1.92 2.93, Remain: 2 days, 8:05:41, Finish: 2024-11-24 10:43 [11-22 18:38:15] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.125 (7.125), Lt: 6.528 (6.528), Acc m&t: 1.92 2.93, Remain: 2 days, 8:04:16, Finish: 2024-11-24 10:42 [11-22 18:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 2:18:51 tlr: 0.00024 tnm: 0.46 Lm: 7.212 (7.212) Lt: 6.622 (6.622) Accm: 1.69 (1.69) Acct: 2.58 (2.58) proj_loss: -0.4497 (-0.4497) time: 4.9919 data: 0.0003 [11-22 18:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 2:18:54 tlr: 0.00024 tnm: 0.46 Lm: 7.124 (7.124) Lt: 6.516 (6.516) Accm: 1.96 (1.96) Acct: 3.10 (3.10) proj_loss: -0.4464 (-0.4464) time: 4.9937 data: 0.0003 [11-22 18:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:19:49 tlr: 0.00024 tnm: 0.46 Lm: 7.152 (7.152) Lt: 6.544 (6.544) Accm: 1.82 (1.82) Acct: 2.86 (2.86) proj_loss: -0.4184 (-0.4184) time: 0.7125 data: 0.0003 [11-22 18:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:09:56 tlr: 0.00024 tnm: 0.46 Lm: 7.184 (7.184) Lt: 6.579 (6.579) Accm: 1.74 (1.74) Acct: 2.65 (2.65) proj_loss: -0.4487 (-0.4487) time: 0.3571 data: 0.0004 [11-22 18:40:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:31 tlr: 0.00024 tnm: 0.42 Lm: 7.145 (7.145) Lt: 6.535 (6.535) Accm: 1.79 (1.79) Acct: 2.75 (2.75) proj_loss: -0.4443 (-0.4443) time: 0.3604 data: 0.0003 [11-22 18:40:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:45 tlr: 0.00024 tnm: 0.42 Lm: 7.183 (7.183) Lt: 6.599 (6.599) Accm: 1.82 (1.82) Acct: 2.82 (2.82) proj_loss: -0.4570 (-0.4570) time: 0.3604 data: 0.0002 [11-22 18:40:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.42 Lm: 7.144 (7.144) Lt: 6.534 (6.534) Accm: 1.88 (1.88) Acct: 2.86 (2.86) proj_loss: -0.4295 (-0.4295) time: 0.3604 data: 0.0002 [11-22 18:40:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:45 tlr: 0.00024 tnm: 0.42 Lm: 7.122 (7.122) Lt: 6.544 (6.544) Accm: 1.82 (1.82) Acct: 2.81 (2.81) proj_loss: -0.4447 (-0.4447) time: 0.3604 data: 0.0003 [11-22 18:43:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:06 tlr: 0.00024 tnm: 0.47 Lm: 7.168 (7.138) Lt: 6.583 (6.557) Accm: 1.81 (1.82) Acct: 2.63 (2.75) proj_loss: -0.4497 (-0.4486) time: 0.3597 data: 0.0002 [11-22 18:43:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.47 Lm: 7.136 (7.116) Lt: 6.524 (6.505) Accm: 1.82 (1.85) Acct: 2.86 (2.87) proj_loss: -0.4406 (-0.4355) time: 0.3597 data: 0.0002 [11-22 18:43:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:06 tlr: 0.00024 tnm: 0.47 Lm: 7.183 (7.183) Lt: 6.588 (6.595) Accm: 1.78 (1.81) Acct: 2.53 (2.70) proj_loss: -0.4626 (-0.4588) time: 0.3597 data: 0.0002 [11-22 18:43:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.47 Lm: 7.107 (7.130) Lt: 6.496 (6.522) Accm: 1.74 (1.77) Acct: 2.65 (2.71) proj_loss: -0.4487 (-0.4459) time: 0.3597 data: 0.0003 [11-22 18:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.46 Lm: 7.144 (7.143) Lt: 6.537 (6.541) Accm: 1.76 (1.77) Acct: 2.75 (2.77) proj_loss: -0.4489 (-0.4473) time: 0.3624 data: 0.0003 [11-22 18:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.46 Lm: 7.154 (7.154) Lt: 6.552 (6.560) Accm: 1.87 (1.86) Acct: 2.77 (2.78) proj_loss: -0.4601 (-0.4585) time: 0.3625 data: 0.0003 [11-22 18:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.46 Lm: 7.097 (7.097) Lt: 6.485 (6.490) Accm: 1.88 (1.89) Acct: 2.88 (2.90) proj_loss: -0.4440 (-0.4412) time: 0.3625 data: 0.0002 [11-22 18:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.46 Lm: 7.109 (7.116) Lt: 6.524 (6.527) Accm: 1.88 (1.86) Acct: 2.83 (2.85) proj_loss: -0.4472 (-0.4476) time: 0.3625 data: 0.0003 [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.051 (7.096) Lt: 6.466 (6.503) Accm: 1.96 (1.90) Acct: 3.03 (2.93) proj_loss: -0.4497 (-0.4511) time: 0.3634 data: 0.0015 [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:08 (0.365 s / it) [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.107 (7.110) Lt: 6.496 (6.502) Accm: 1.77 (1.86) Acct: 2.84 (2.91) proj_loss: -0.4488 (-0.4476) time: 0.3634 data: 0.0022 [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.124 (7.138) Lt: 6.516 (6.545) Accm: 1.96 (1.89) Acct: 2.96 (2.81) proj_loss: -0.4575 (-0.4579) time: 0.3634 data: 0.0016 [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.092 (7.096) Lt: 6.477 (6.487) Accm: 1.83 (1.88) Acct: 2.89 (2.90) proj_loss: -0.4475 (-0.4462) time: 0.3634 data: 0.0017 [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:04 (0.362 s / it) [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:08 (0.365 s / it) [11-22 18:48:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:04 (0.362 s / it) [11-22 18:50:35] (home/user/VAR/trainer.py, line 114)=> FID: 11.013899586168009 [11-22 18:50:36] (/home/user/VAR/train.py , line 259)=> [*] [ep19] (val 50000) Lm: 7.1131, Lt: 6.5096, Acc m&t: 1.94 2.97, Val cost: 131.77s [11-22 18:50:36] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-22 18:51:22] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.113 (7.113), Lt: 6.510 (6.510), Acc m&t: 1.94 2.97, Remain: 2 days, 7:53:48, Finish: 2024-11-24 10:42 [11-22 18:51:22] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.113 (7.113), Lt: 6.510 (6.510), Acc m&t: 1.94 2.97, Remain: 2 days, 7:52:37, Finish: 2024-11-24 10:41 [11-22 18:51:22] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.113 (7.113), Lt: 6.510 (6.510), Acc m&t: 1.94 2.97, Remain: 2 days, 7:51:55, Finish: 2024-11-24 10:40 [11-22 18:51:22] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.113 (7.113), Lt: 6.510 (6.510), Acc m&t: 1.94 2.97, Remain: 2 days, 7:53:12, Finish: 2024-11-24 10:41 [11-22 18:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:11:56 tlr: 0.00024 tnm: 0.46 Lm: 7.010 (7.010) Lt: 6.404 (6.404) Accm: 1.93 (1.93) Acct: 2.77 (2.77) proj_loss: -0.4370 (-0.4370) time: 0.4291 data: 0.0004 [11-22 18:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:11:55 tlr: 0.00024 tnm: 0.46 Lm: 7.177 (7.177) Lt: 6.572 (6.572) Accm: 1.86 (1.86) Acct: 2.82 (2.82) proj_loss: -0.4604 (-0.4604) time: 0.4286 data: 0.0003 [11-22 18:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:11:55 tlr: 0.00024 tnm: 0.46 Lm: 6.999 (6.999) Lt: 6.416 (6.416) Accm: 2.32 (2.32) Acct: 3.53 (3.53) proj_loss: -0.4700 (-0.4700) time: 0.4290 data: 0.0003 [11-22 18:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:11:52 tlr: 0.00024 tnm: 0.46 Lm: 7.033 (7.033) Lt: 6.410 (6.410) Accm: 2.06 (2.06) Acct: 3.01 (3.01) proj_loss: -0.4453 (-0.4453) time: 0.4270 data: 0.0004 [11-22 18:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.43 Lm: 7.088 (7.088) Lt: 6.460 (6.460) Accm: 2.05 (2.05) Acct: 3.21 (3.21) proj_loss: -0.4602 (-0.4602) time: 0.3637 data: 0.0002 [11-22 18:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.43 Lm: 7.100 (7.100) Lt: 6.509 (6.509) Accm: 1.86 (1.86) Acct: 2.94 (2.94) proj_loss: -0.4435 (-0.4435) time: 0.3637 data: 0.0003 [11-22 18:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.43 Lm: 7.069 (7.069) Lt: 6.472 (6.472) Accm: 2.18 (2.18) Acct: 3.36 (3.36) proj_loss: -0.4595 (-0.4595) time: 0.3637 data: 0.0003 [11-22 18:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.43 Lm: 7.022 (7.022) Lt: 6.361 (6.361) Accm: 2.13 (2.13) Acct: 3.17 (3.17) proj_loss: -0.4488 (-0.4488) time: 0.3638 data: 0.0003 [11-22 18:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.019 (7.021) Lt: 6.410 (6.384) Accm: 2.17 (2.15) Acct: 3.32 (3.24) proj_loss: -0.4523 (-0.4509) time: 0.3597 data: 0.0003 [11-22 18:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.120 (7.098) Lt: 6.499 (6.473) Accm: 1.86 (1.96) Acct: 2.82 (3.07) proj_loss: -0.4604 (-0.4623) time: 0.3597 data: 0.0002 [11-22 18:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.019 (7.073) Lt: 6.404 (6.455) Accm: 1.93 (1.92) Acct: 3.12 (3.08) proj_loss: -0.4501 (-0.4501) time: 0.3597 data: 0.0003 [11-22 18:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.45 Lm: 7.090 (7.076) Lt: 6.472 (6.472) Accm: 2.04 (2.08) Acct: 3.19 (3.13) proj_loss: -0.4607 (-0.4599) time: 0.3597 data: 0.0002 [11-22 18:58:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.42 Lm: 7.115 (7.102) Lt: 6.499 (6.497) Accm: 1.97 (2.01) Acct: 3.06 (3.09) proj_loss: -0.4595 (-0.4595) time: 0.3614 data: 0.0003 [11-22 18:58:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.42 Lm: 7.065 (7.083) Lt: 6.478 (6.479) Accm: 1.94 (1.93) Acct: 2.94 (2.99) proj_loss: -0.4535 (-0.4519) time: 0.3614 data: 0.0003 [11-22 18:58:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.42 Lm: 7.083 (7.085) Lt: 6.452 (6.456) Accm: 2.00 (2.01) Acct: 3.03 (3.11) proj_loss: -0.4610 (-0.4621) time: 0.3614 data: 0.0003 [11-22 18:58:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.42 Lm: 7.026 (7.048) Lt: 6.419 (6.417) Accm: 2.12 (2.13) Acct: 3.21 (3.21) proj_loss: -0.4536 (-0.4564) time: 0.3614 data: 0.0002 [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.033 (7.054) Lt: 6.428 (6.430) Accm: 2.07 (2.06) Acct: 3.10 (3.08) proj_loss: -0.4550 (-0.4584) time: 0.3655 data: 0.0020 [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.110 (7.092) Lt: 6.537 (6.491) Accm: 1.94 (1.94) Acct: 3.05 (3.00) proj_loss: -0.4570 (-0.4542) time: 0.3655 data: 0.0017 [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.045 (7.065) Lt: 6.406 (6.441) Accm: 2.15 (2.07) Acct: 3.19 (3.13) proj_loss: -0.4604 (-0.4617) time: 0.3655 data: 0.0018 [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.140 (7.119) Lt: 6.527 (6.519) Accm: 1.89 (1.98) Acct: 2.94 (3.05) proj_loss: -0.4583 (-0.4589) time: 0.3655 data: 0.0016 [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:01:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:01:26] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.099 (7.099), Lt: 6.494 (6.494), Acc m&t: 1.97 3.00, Remain: 2 days, 7:52:33, Finish: 2024-11-24 10:53 [11-22 19:01:26] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.099 (7.099), Lt: 6.494 (6.494), Acc m&t: 1.97 3.00, Remain: 2 days, 7:52:52, Finish: 2024-11-24 10:54 [11-22 19:01:26] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.099 (7.099), Lt: 6.494 (6.494), Acc m&t: 1.97 3.00, Remain: 2 days, 7:54:03, Finish: 2024-11-24 10:55 [11-22 19:01:26] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.099 (7.099), Lt: 6.494 (6.494), Acc m&t: 1.97 3.00, Remain: 2 days, 7:55:02, Finish: 2024-11-24 10:56 [11-22 19:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:28 tlr: 0.00024 tnm: 0.44 Lm: 7.145 (7.145) Lt: 6.561 (6.561) Accm: 1.93 (1.93) Acct: 3.03 (3.03) proj_loss: -0.4641 (-0.4641) time: 0.3408 data: 0.0003 [11-22 19:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.44 Lm: 7.064 (7.064) Lt: 6.497 (6.497) Accm: 1.93 (1.93) Acct: 3.13 (3.13) proj_loss: -0.4591 (-0.4591) time: 0.3432 data: 0.0003 [11-22 19:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:48 tlr: 0.00024 tnm: 0.44 Lm: 7.178 (7.178) Lt: 6.602 (6.602) Accm: 1.78 (1.78) Acct: 2.91 (2.91) proj_loss: -0.4598 (-0.4598) time: 0.3528 data: 0.0004 [11-22 19:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:37 tlr: 0.00024 tnm: 0.44 Lm: 7.115 (7.115) Lt: 6.510 (6.510) Accm: 2.05 (2.05) Acct: 3.51 (3.51) proj_loss: -0.4546 (-0.4546) time: 0.3462 data: 0.0003 [11-22 19:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.44 Lm: 7.131 (7.131) Lt: 6.517 (6.517) Accm: 2.01 (2.01) Acct: 3.29 (3.29) proj_loss: -0.4624 (-0.4624) time: 0.3624 data: 0.0003 [11-22 19:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.44 Lm: 7.036 (7.036) Lt: 6.459 (6.459) Accm: 2.02 (2.02) Acct: 3.06 (3.06) proj_loss: -0.4566 (-0.4566) time: 0.3624 data: 0.0003 [11-22 19:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.44 Lm: 7.123 (7.123) Lt: 6.514 (6.514) Accm: 1.95 (1.95) Acct: 3.06 (3.06) proj_loss: -0.4572 (-0.4572) time: 0.3624 data: 0.0002 [11-22 19:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:34 tlr: 0.00024 tnm: 0.44 Lm: 7.186 (7.186) Lt: 6.598 (6.598) Accm: 1.82 (1.82) Acct: 2.88 (2.88) proj_loss: -0.4574 (-0.4574) time: 0.3624 data: 0.0003 [11-22 19:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.44 Lm: 7.194 (7.204) Lt: 6.602 (6.601) Accm: 1.78 (1.81) Acct: 2.91 (2.89) proj_loss: -0.4549 (-0.4555) time: 0.3617 data: 0.0003 [11-22 19:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.44 Lm: 7.064 (7.098) Lt: 6.497 (6.519) Accm: 1.93 (1.87) Acct: 2.98 (2.91) proj_loss: -0.4542 (-0.4543) time: 0.3617 data: 0.0003 [11-22 19:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.44 Lm: 7.145 (7.138) Lt: 6.561 (6.535) Accm: 1.93 (1.93) Acct: 3.05 (3.06) proj_loss: -0.4557 (-0.4567) time: 0.3617 data: 0.0002 [11-22 19:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.44 Lm: 7.142 (7.135) Lt: 6.510 (6.514) Accm: 1.97 (1.92) Acct: 3.06 (3.10) proj_loss: -0.4546 (-0.4586) time: 0.3617 data: 0.0003 [11-22 19:09:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.129 (7.127) Lt: 6.509 (6.510) Accm: 2.01 (1.95) Acct: 3.01 (3.06) proj_loss: -0.4565 (-0.4585) time: 0.3605 data: 0.0003 [11-22 19:09:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.156 (7.163) Lt: 6.569 (6.565) Accm: 1.91 (1.81) Acct: 3.04 (2.82) proj_loss: -0.4599 (-0.4602) time: 0.3605 data: 0.0002 [11-22 19:09:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.067 (7.091) Lt: 6.459 (6.490) Accm: 1.94 (1.89) Acct: 3.06 (2.98) proj_loss: -0.4551 (-0.4547) time: 0.3605 data: 0.0003 [11-22 19:09:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.186 (7.196) Lt: 6.605 (6.608) Accm: 1.82 (1.82) Acct: 2.88 (2.82) proj_loss: -0.4534 (-0.4540) time: 0.3605 data: 0.0003 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.178 (7.151) Lt: 6.602 (6.556) Accm: 1.87 (1.94) Acct: 2.91 (2.93) proj_loss: -0.4549 (-0.4582) time: 0.3627 data: 0.0017 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.071 (7.089) Lt: 6.497 (6.493) Accm: 1.95 (1.94) Acct: 3.13 (3.02) proj_loss: -0.4559 (-0.4571) time: 0.3627 data: 0.0019 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.145 (7.158) Lt: 6.561 (6.546) Accm: 1.93 (1.88) Acct: 3.05 (2.96) proj_loss: -0.4557 (-0.4558) time: 0.3627 data: 0.0015 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.142 (7.132) Lt: 6.510 (6.524) Accm: 2.04 (1.98) Acct: 3.06 (3.08) proj_loss: -0.4546 (-0.4569) time: 0.3627 data: 0.0017 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:11:31] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.086 (7.086), Lt: 6.472 (6.472), Acc m&t: 1.99 3.08, Remain: 2 days, 7:27:30, Finish: 2024-11-24 10:39 [11-22 19:11:31] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.086 (7.086), Lt: 6.472 (6.472), Acc m&t: 1.99 3.08, Remain: 2 days, 7:27:20, Finish: 2024-11-24 10:38 [11-22 19:11:31] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.086 (7.086), Lt: 6.472 (6.472), Acc m&t: 1.99 3.08, Remain: 2 days, 7:28:16, Finish: 2024-11-24 10:39 [11-22 19:11:31] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.086 (7.086), Lt: 6.472 (6.472), Acc m&t: 1.99 3.08, Remain: 2 days, 7:27:47, Finish: 2024-11-24 10:39 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.41 Lm: 7.191 (7.191) Lt: 6.599 (6.599) Accm: 1.67 (1.67) Acct: 2.60 (2.60) proj_loss: -0.4640 (-0.4640) time: 0.3447 data: 0.0004 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.41 Lm: 6.905 (6.905) Lt: 6.287 (6.287) Accm: 2.43 (2.43) Acct: 3.94 (3.94) proj_loss: -0.4715 (-0.4715) time: 0.3447 data: 0.0003 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.41 Lm: 7.157 (7.157) Lt: 6.542 (6.542) Accm: 1.89 (1.89) Acct: 3.03 (3.03) proj_loss: -0.4493 (-0.4493) time: 0.3446 data: 0.0004 [11-22 19:11:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.41 Lm: 6.945 (6.945) Lt: 6.361 (6.361) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.4708 (-0.4708) time: 0.3443 data: 0.0004 [11-22 19:14:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.43 Lm: 7.022 (7.022) Lt: 6.429 (6.429) Accm: 2.08 (2.08) Acct: 3.26 (3.26) proj_loss: -0.4697 (-0.4697) time: 0.3609 data: 0.0003 [11-22 19:14:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.43 Lm: 6.980 (6.980) Lt: 6.372 (6.372) Accm: 2.23 (2.23) Acct: 3.59 (3.59) proj_loss: -0.4548 (-0.4548) time: 0.3608 data: 0.0002 [11-22 19:14:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.43 Lm: 7.150 (7.150) Lt: 6.538 (6.538) Accm: 1.90 (1.90) Acct: 2.91 (2.91) proj_loss: -0.4493 (-0.4493) time: 0.3609 data: 0.0002 [11-22 19:14:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.43 Lm: 7.041 (7.041) Lt: 6.450 (6.450) Accm: 2.10 (2.10) Acct: 3.10 (3.10) proj_loss: -0.4716 (-0.4716) time: 0.3609 data: 0.0003 [11-22 19:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.172 (7.085) Lt: 6.597 (6.499) Accm: 1.71 (1.97) Acct: 2.60 (2.92) proj_loss: -0.4640 (-0.4662) time: 0.3614 data: 0.0002 [11-22 19:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.144 (7.133) Lt: 6.535 (6.521) Accm: 1.92 (1.99) Acct: 3.03 (3.05) proj_loss: -0.4493 (-0.4494) time: 0.3614 data: 0.0003 [11-22 19:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.099 (7.075) Lt: 6.496 (6.486) Accm: 1.95 (2.02) Acct: 3.10 (3.11) proj_loss: -0.4687 (-0.4647) time: 0.3614 data: 0.0002 [11-22 19:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.050 (7.004) Lt: 6.420 (6.388) Accm: 2.04 (2.17) Acct: 3.25 (3.48) proj_loss: -0.4698 (-0.4598) time: 0.3614 data: 0.0003 [11-22 19:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.053 (7.033) Lt: 6.439 (6.410) Accm: 2.04 (2.09) Acct: 3.25 (3.36) proj_loss: -0.4665 (-0.4606) time: 0.3638 data: 0.0003 [11-22 19:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.123 (7.082) Lt: 6.536 (6.493) Accm: 1.84 (1.97) Acct: 2.79 (2.94) proj_loss: -0.4670 (-0.4671) time: 0.3638 data: 0.0003 [11-22 19:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.121 (7.094) Lt: 6.511 (6.494) Accm: 1.98 (2.01) Acct: 3.10 (3.08) proj_loss: -0.4494 (-0.4514) time: 0.3638 data: 0.0003 [11-22 19:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.41 Lm: 7.022 (7.015) Lt: 6.429 (6.409) Accm: 2.08 (2.13) Acct: 3.26 (3.32) proj_loss: -0.4694 (-0.4661) time: 0.3638 data: 0.0003 [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.099 (7.052) Lt: 6.496 (6.456) Accm: 1.95 (2.04) Acct: 3.10 (3.13) proj_loss: -0.4687 (-0.4623) time: 0.3665 data: 0.0018 [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:10 (0.366 s / it) [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.098 (7.087) Lt: 6.490 (6.493) Accm: 1.92 (1.98) Acct: 3.03 (3.01) proj_loss: -0.4495 (-0.4559) time: 0.3665 data: 0.0020 [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.136 (7.093) Lt: 6.529 (6.500) Accm: 1.87 (1.95) Acct: 2.91 (2.93) proj_loss: -0.4642 (-0.4665) time: 0.3665 data: 0.0022 [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.055 (7.067) Lt: 6.457 (6.450) Accm: 2.04 (2.00) Acct: 3.24 (3.15) proj_loss: -0.4632 (-0.4592) time: 0.3665 data: 0.0018 [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:10 (0.366 s / it) [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:11 (0.366 s / it) [11-22 19:21:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:11 (0.366 s / it) [11-22 19:21:42] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.070 (7.070), Lt: 6.459 (6.459), Acc m&t: 2.03 3.12, Remain: 2 days, 7:49:55, Finish: 2024-11-24 11:11 [11-22 19:21:42] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.070 (7.070), Lt: 6.459 (6.459), Acc m&t: 2.03 3.12, Remain: 2 days, 7:51:12, Finish: 2024-11-24 11:12 [11-22 19:21:42] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.070 (7.070), Lt: 6.459 (6.459), Acc m&t: 2.03 3.12, Remain: 2 days, 7:51:46, Finish: 2024-11-24 11:13 [11-22 19:21:42] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.070 (7.070), Lt: 6.459 (6.459), Acc m&t: 2.03 3.12, Remain: 2 days, 7:51:15, Finish: 2024-11-24 11:12 [11-22 19:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:11 tlr: 0.00024 tnm: 0.36 Lm: 7.070 (7.070) Lt: 6.414 (6.414) Accm: 1.92 (1.92) Acct: 2.72 (2.72) proj_loss: -0.4692 (-0.4692) time: 0.3667 data: 0.0004 [11-22 19:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:12 tlr: 0.00024 tnm: 0.36 Lm: 7.005 (7.005) Lt: 6.362 (6.362) Accm: 2.32 (2.32) Acct: 3.55 (3.55) proj_loss: -0.4562 (-0.4562) time: 0.3671 data: 0.0003 [11-22 19:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:16 tlr: 0.00024 tnm: 0.36 Lm: 7.045 (7.045) Lt: 6.379 (6.379) Accm: 2.20 (2.20) Acct: 3.25 (3.25) proj_loss: -0.4516 (-0.4516) time: 0.3692 data: 0.0003 [11-22 19:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:12 tlr: 0.00024 tnm: 0.36 Lm: 7.064 (7.064) Lt: 6.446 (6.446) Accm: 1.95 (1.95) Acct: 2.96 (2.96) proj_loss: -0.4692 (-0.4692) time: 0.3671 data: 0.0003 [11-22 19:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.37 Lm: 7.044 (7.044) Lt: 6.425 (6.425) Accm: 1.98 (1.98) Acct: 3.00 (3.00) proj_loss: -0.4730 (-0.4730) time: 0.3606 data: 0.0003 [11-22 19:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.37 Lm: 7.073 (7.073) Lt: 6.421 (6.421) Accm: 1.96 (1.96) Acct: 2.98 (2.98) proj_loss: -0.4632 (-0.4632) time: 0.3606 data: 0.0003 [11-22 19:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.37 Lm: 7.060 (7.060) Lt: 6.431 (6.431) Accm: 2.07 (2.07) Acct: 3.19 (3.19) proj_loss: -0.4577 (-0.4577) time: 0.3606 data: 0.0002 [11-22 19:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.37 Lm: 7.027 (7.027) Lt: 6.423 (6.423) Accm: 2.26 (2.26) Acct: 3.35 (3.35) proj_loss: -0.4707 (-0.4707) time: 0.3606 data: 0.0003 [11-22 19:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.049 (7.048) Lt: 6.472 (6.439) Accm: 2.19 (2.12) Acct: 3.15 (3.13) proj_loss: -0.4751 (-0.4721) time: 0.3607 data: 0.0002 [11-22 19:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.070 (7.037) Lt: 6.414 (6.394) Accm: 2.00 (2.00) Acct: 3.24 (3.08) proj_loss: -0.4692 (-0.4653) time: 0.3607 data: 0.0003 [11-22 19:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.045 (7.042) Lt: 6.379 (6.407) Accm: 2.15 (2.09) Acct: 3.25 (3.25) proj_loss: -0.4546 (-0.4566) time: 0.3607 data: 0.0002 [11-22 19:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.39 Lm: 7.058 (7.048) Lt: 6.407 (6.419) Accm: 2.01 (2.01) Acct: 3.03 (3.09) proj_loss: -0.4692 (-0.4699) time: 0.3607 data: 0.0003 [11-22 19:29:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.055 (7.049) Lt: 6.426 (6.428) Accm: 2.01 (2.01) Acct: 3.06 (3.09) proj_loss: -0.4665 (-0.4675) time: 0.3636 data: 0.0003 [11-22 19:29:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.027 (7.024) Lt: 6.390 (6.387) Accm: 2.04 (2.03) Acct: 3.26 (3.17) proj_loss: -0.4653 (-0.4643) time: 0.3636 data: 0.0003 [11-22 19:29:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.070 (7.062) Lt: 6.478 (6.456) Accm: 2.06 (2.07) Acct: 3.13 (3.13) proj_loss: -0.4755 (-0.4731) time: 0.3636 data: 0.0003 [11-22 19:29:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.060 (7.079) Lt: 6.431 (6.461) Accm: 2.04 (2.01) Acct: 3.19 (3.13) proj_loss: -0.4592 (-0.4627) time: 0.3636 data: 0.0002 [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.075 (7.093) Lt: 6.484 (6.474) Accm: 1.93 (1.96) Acct: 3.12 (3.06) proj_loss: -0.4638 (-0.4632) time: 0.3638 data: 0.0015 [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.050 (7.029) Lt: 6.414 (6.400) Accm: 2.09 (2.04) Acct: 3.24 (3.17) proj_loss: -0.4692 (-0.4704) time: 0.3638 data: 0.0015 [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.090 (7.071) Lt: 6.484 (6.472) Accm: 1.93 (2.01) Acct: 3.10 (3.04) proj_loss: -0.4751 (-0.4716) time: 0.3638 data: 0.0016 [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.052 (7.028) Lt: 6.407 (6.399) Accm: 2.02 (2.03) Acct: 3.08 (3.14) proj_loss: -0.4692 (-0.4683) time: 0.3638 data: 0.0019 [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:31:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:04 (0.362 s / it) [11-22 19:31:46] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.058 (7.058), Lt: 6.442 (6.442), Acc m&t: 2.05 3.15, Remain: 2 days, 7:07:27, Finish: 2024-11-24 10:39 [11-22 19:31:46] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.058 (7.058), Lt: 6.442 (6.442), Acc m&t: 2.05 3.15, Remain: 2 days, 7:08:35, Finish: 2024-11-24 10:40 [11-22 19:31:46] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.058 (7.058), Lt: 6.442 (6.442), Acc m&t: 2.05 3.15, Remain: 2 days, 7:07:08, Finish: 2024-11-24 10:38 [11-22 19:31:46] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.058 (7.058), Lt: 6.442 (6.442), Acc m&t: 2.05 3.15, Remain: 2 days, 7:06:40, Finish: 2024-11-24 10:38 [11-22 19:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:09:54 tlr: 0.00024 tnm: 0.40 Lm: 7.103 (7.103) Lt: 6.505 (6.505) Accm: 1.97 (1.97) Acct: 3.13 (3.13) proj_loss: -0.4710 (-0.4710) time: 0.3563 data: 0.0003 [11-22 19:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:10:30 tlr: 0.00024 tnm: 0.40 Lm: 6.924 (6.924) Lt: 6.264 (6.264) Accm: 2.16 (2.16) Acct: 3.36 (3.36) proj_loss: -0.4599 (-0.4599) time: 0.3778 data: 0.0003 [11-22 19:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:09:48 tlr: 0.00024 tnm: 0.40 Lm: 6.845 (6.845) Lt: 6.173 (6.173) Accm: 2.85 (2.85) Acct: 4.65 (4.65) proj_loss: -0.4842 (-0.4842) time: 0.3523 data: 0.0003 [11-22 19:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:09:59 tlr: 0.00024 tnm: 0.40 Lm: 7.167 (7.167) Lt: 6.586 (6.586) Accm: 1.82 (1.82) Acct: 2.63 (2.63) proj_loss: -0.4708 (-0.4708) time: 0.3591 data: 0.0004 [11-22 19:34:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.41 Lm: 7.075 (7.075) Lt: 6.453 (6.453) Accm: 1.98 (1.98) Acct: 2.90 (2.90) proj_loss: -0.4683 (-0.4683) time: 0.3591 data: 0.0002 [11-22 19:34:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.41 Lm: 7.028 (7.028) Lt: 6.398 (6.398) Accm: 2.12 (2.12) Acct: 3.43 (3.43) proj_loss: -0.4661 (-0.4661) time: 0.3591 data: 0.0002 [11-22 19:34:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.41 Lm: 6.965 (6.965) Lt: 6.337 (6.337) Accm: 2.36 (2.36) Acct: 3.73 (3.73) proj_loss: -0.4753 (-0.4753) time: 0.3591 data: 0.0002 [11-22 19:34:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.41 Lm: 6.935 (6.935) Lt: 6.288 (6.288) Accm: 2.25 (2.25) Acct: 3.55 (3.55) proj_loss: -0.4760 (-0.4760) time: 0.3591 data: 0.0003 [11-22 19:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.41 Lm: 6.946 (6.958) Lt: 6.311 (6.317) Accm: 2.26 (2.25) Acct: 3.44 (3.51) proj_loss: -0.4599 (-0.4691) time: 0.3651 data: 0.0003 [11-22 19:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.41 Lm: 7.073 (7.043) Lt: 6.451 (6.415) Accm: 2.19 (2.14) Acct: 3.41 (3.43) proj_loss: -0.4710 (-0.4680) time: 0.3651 data: 0.0002 [11-22 19:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.41 Lm: 7.085 (7.078) Lt: 6.473 (6.460) Accm: 1.99 (1.98) Acct: 3.05 (2.95) proj_loss: -0.4708 (-0.4705) time: 0.3651 data: 0.0003 [11-22 19:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.41 Lm: 7.062 (6.998) Lt: 6.487 (6.387) Accm: 2.19 (2.31) Acct: 3.24 (3.56) proj_loss: -0.4771 (-0.4759) time: 0.3651 data: 0.0003 [11-22 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.038 (7.002) Lt: 6.439 (6.388) Accm: 2.21 (2.29) Acct: 3.40 (3.56) proj_loss: -0.4778 (-0.4766) time: 0.3617 data: 0.0003 [11-22 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.066 (7.070) Lt: 6.445 (6.449) Accm: 2.06 (2.10) Acct: 3.11 (3.11) proj_loss: -0.4707 (-0.4705) time: 0.3617 data: 0.0003 [11-22 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.013 (7.017) Lt: 6.384 (6.391) Accm: 2.23 (2.18) Acct: 3.50 (3.47) proj_loss: -0.4699 (-0.4682) time: 0.3617 data: 0.0002 [11-22 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 6.974 (6.969) Lt: 6.338 (6.329) Accm: 2.21 (2.19) Acct: 3.40 (3.43) proj_loss: -0.4640 (-0.4688) time: 0.3617 data: 0.0002 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.44 Lm: 7.003 (6.985) Lt: 6.365 (6.345) Accm: 2.16 (2.12) Acct: 3.36 (3.33) proj_loss: -0.4648 (-0.4680) time: 0.3641 data: 0.0020 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:03 (0.361 s / it) [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.44 Lm: 7.046 (7.055) Lt: 6.417 (6.426) Accm: 2.13 (2.11) Acct: 3.17 (3.15) proj_loss: -0.4708 (-0.4721) time: 0.3641 data: 0.0019 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.44 Lm: 6.960 (7.006) Lt: 6.368 (6.386) Accm: 2.19 (2.16) Acct: 3.41 (3.38) proj_loss: -0.4710 (-0.4731) time: 0.3641 data: 0.0015 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.44 Lm: 7.015 (7.000) Lt: 6.390 (6.381) Accm: 2.22 (2.31) Acct: 3.56 (3.62) proj_loss: -0.4771 (-0.4764) time: 0.3641 data: 0.0021 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:03 (0.361 s / it) [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:03 (0.361 s / it) [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:03 (0.361 s / it) [11-22 19:41:50] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.040 (7.040), Lt: 6.417 (6.417), Acc m&t: 2.11 3.23, Remain: 2 days, 7:05:54, Finish: 2024-11-24 10:47 [11-22 19:41:50] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.040 (7.040), Lt: 6.417 (6.417), Acc m&t: 2.11 3.23, Remain: 2 days, 7:05:21, Finish: 2024-11-24 10:47 [11-22 19:41:50] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.040 (7.040), Lt: 6.417 (6.417), Acc m&t: 2.11 3.23, Remain: 2 days, 7:01:50, Finish: 2024-11-24 10:43 [11-22 19:41:50] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.040 (7.040), Lt: 6.417 (6.417), Acc m&t: 2.11 3.23, Remain: 2 days, 7:05:07, Finish: 2024-11-24 10:46 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.41 Lm: 7.080 (7.080) Lt: 6.448 (6.448) Accm: 1.84 (1.84) Acct: 2.84 (2.84) proj_loss: -0.4537 (-0.4537) time: 0.3500 data: 0.0004 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.41 Lm: 6.947 (6.947) Lt: 6.279 (6.279) Accm: 2.27 (2.27) Acct: 3.55 (3.55) proj_loss: -0.4650 (-0.4650) time: 0.3505 data: 0.0003 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:10:33 tlr: 0.00024 tnm: 0.41 Lm: 7.100 (7.100) Lt: 6.502 (6.502) Accm: 2.00 (2.00) Acct: 2.94 (2.94) proj_loss: -0.4794 (-0.4794) time: 0.3793 data: 0.0004 [11-22 19:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:09:45 tlr: 0.00024 tnm: 0.41 Lm: 6.977 (6.977) Lt: 6.382 (6.382) Accm: 2.34 (2.34) Acct: 3.48 (3.48) proj_loss: -0.4686 (-0.4686) time: 0.3510 data: 0.0004 [11-22 19:44:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.39 Lm: 7.029 (7.029) Lt: 6.421 (6.421) Accm: 2.21 (2.21) Acct: 3.30 (3.30) proj_loss: -0.4784 (-0.4784) time: 0.3625 data: 0.0003 [11-22 19:44:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.39 Lm: 7.094 (7.094) Lt: 6.486 (6.486) Accm: 2.00 (2.00) Acct: 3.00 (3.00) proj_loss: -0.4727 (-0.4727) time: 0.3625 data: 0.0003 [11-22 19:44:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.39 Lm: 6.976 (6.976) Lt: 6.323 (6.323) Accm: 2.20 (2.20) Acct: 3.41 (3.41) proj_loss: -0.4633 (-0.4633) time: 0.3625 data: 0.0003 [11-22 19:44:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.39 Lm: 7.059 (7.059) Lt: 6.434 (6.434) Accm: 1.94 (1.94) Acct: 3.06 (3.06) proj_loss: -0.4662 (-0.4662) time: 0.3625 data: 0.0002 [11-22 19:46:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.37 Lm: 7.037 (7.043) Lt: 6.421 (6.422) Accm: 2.03 (2.04) Acct: 3.27 (3.16) proj_loss: -0.4778 (-0.4700) time: 0.3627 data: 0.0002 [11-22 19:46:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.37 Lm: 6.947 (6.929) Lt: 6.279 (6.269) Accm: 2.27 (2.35) Acct: 3.55 (3.67) proj_loss: -0.4615 (-0.4609) time: 0.3627 data: 0.0003 [11-22 19:46:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.37 Lm: 7.088 (7.066) Lt: 6.470 (6.446) Accm: 2.00 (2.03) Acct: 3.06 (3.10) proj_loss: -0.4691 (-0.4715) time: 0.3627 data: 0.0003 [11-22 19:46:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.37 Lm: 7.053 (7.037) Lt: 6.404 (6.415) Accm: 2.09 (2.13) Acct: 3.12 (3.21) proj_loss: -0.4690 (-0.4752) time: 0.3627 data: 0.0003 [11-22 19:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.39 Lm: 7.067 (7.050) Lt: 6.432 (6.430) Accm: 2.05 (2.10) Acct: 3.07 (3.16) proj_loss: -0.4707 (-0.4745) time: 0.3647 data: 0.0003 [11-22 19:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.39 Lm: 6.949 (6.934) Lt: 6.305 (6.284) Accm: 2.20 (2.29) Acct: 3.41 (3.53) proj_loss: -0.4633 (-0.4671) time: 0.3647 data: 0.0002 [11-22 19:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.39 Lm: 7.081 (7.068) Lt: 6.458 (6.446) Accm: 2.04 (2.04) Acct: 3.18 (3.15) proj_loss: -0.4691 (-0.4709) time: 0.3647 data: 0.0002 [11-22 19:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.39 Lm: 7.052 (7.049) Lt: 6.434 (6.432) Accm: 2.00 (2.03) Acct: 3.18 (3.14) proj_loss: -0.4737 (-0.4699) time: 0.3647 data: 0.0002 [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.068 (7.060) Lt: 6.448 (6.448) Accm: 2.03 (2.05) Acct: 3.15 (3.14) proj_loss: -0.4696 (-0.4685) time: 0.3640 data: 0.0015 [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.950 (6.939) Lt: 6.311 (6.289) Accm: 2.13 (2.24) Acct: 3.27 (3.47) proj_loss: -0.4645 (-0.4666) time: 0.3640 data: 0.0017 [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:13 (0.368 s / it) [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.053 (7.013) Lt: 6.404 (6.380) Accm: 2.09 (2.15) Acct: 3.12 (3.23) proj_loss: -0.4725 (-0.4766) time: 0.3640 data: 0.0019 [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.088 (7.096) Lt: 6.470 (6.489) Accm: 2.00 (1.99) Acct: 3.06 (3.05) proj_loss: -0.4691 (-0.4741) time: 0.3640 data: 0.0019 [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:13 (0.368 s / it) [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:13 (0.368 s / it) [11-22 19:52:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:13 (0.368 s / it) [11-22 19:52:03] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.040 (7.050), Lt: 6.417 (6.427), Acc m&t: 2.11 3.23, Remain: 2 days, 7:06:54, Finish: 2024-11-24 10:58 [11-22 19:52:03] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.040 (7.050), Lt: 6.417 (6.427), Acc m&t: 2.11 3.23, Remain: 2 days, 7:08:33, Finish: 2024-11-24 11:00 [11-22 19:52:03] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.040 (7.050), Lt: 6.417 (6.427), Acc m&t: 2.11 3.23, Remain: 2 days, 7:06:50, Finish: 2024-11-24 10:58 [11-22 19:52:03] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.040 (7.050), Lt: 6.417 (6.427), Acc m&t: 2.11 3.23, Remain: 2 days, 7:06:34, Finish: 2024-11-24 10:58 [11-22 19:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:33 tlr: 0.00024 tnm: 0.41 Lm: 7.119 (7.119) Lt: 6.442 (6.442) Accm: 1.90 (1.90) Acct: 3.10 (3.10) proj_loss: -0.4539 (-0.4539) time: 0.3437 data: 0.0004 [11-22 19:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.41 Lm: 7.097 (7.097) Lt: 6.506 (6.506) Accm: 1.74 (1.74) Acct: 2.74 (2.74) proj_loss: -0.4836 (-0.4836) time: 0.3444 data: 0.0004 [11-22 19:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:33 tlr: 0.00024 tnm: 0.41 Lm: 7.148 (7.148) Lt: 6.569 (6.569) Accm: 1.94 (1.94) Acct: 2.88 (2.88) proj_loss: -0.4701 (-0.4701) time: 0.3438 data: 0.0003 [11-22 19:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.41 Lm: 6.991 (6.991) Lt: 6.320 (6.320) Accm: 2.19 (2.19) Acct: 3.34 (3.34) proj_loss: -0.4705 (-0.4705) time: 0.3447 data: 0.0004 [11-22 19:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.39 Lm: 6.971 (6.971) Lt: 6.298 (6.298) Accm: 2.24 (2.24) Acct: 3.47 (3.47) proj_loss: -0.4697 (-0.4697) time: 0.3618 data: 0.0003 [11-22 19:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.39 Lm: 7.062 (7.062) Lt: 6.448 (6.448) Accm: 2.04 (2.04) Acct: 3.07 (3.07) proj_loss: -0.4724 (-0.4724) time: 0.3618 data: 0.0003 [11-22 19:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.39 Lm: 7.098 (7.098) Lt: 6.444 (6.444) Accm: 1.95 (1.95) Acct: 3.05 (3.05) proj_loss: -0.4510 (-0.4510) time: 0.3618 data: 0.0002 [11-22 19:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.39 Lm: 7.099 (7.099) Lt: 6.482 (6.482) Accm: 1.75 (1.75) Acct: 2.80 (2.80) proj_loss: -0.4732 (-0.4732) time: 0.3618 data: 0.0003 [11-22 19:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.38 Lm: 7.102 (7.104) Lt: 6.483 (6.482) Accm: 1.76 (1.79) Acct: 2.86 (2.85) proj_loss: -0.4710 (-0.4724) time: 0.3620 data: 0.0003 [11-22 19:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.38 Lm: 6.951 (6.950) Lt: 6.288 (6.295) Accm: 2.29 (2.27) Acct: 3.60 (3.53) proj_loss: -0.4695 (-0.4697) time: 0.3619 data: 0.0003 [11-22 19:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.38 Lm: 7.076 (7.049) Lt: 6.442 (6.396) Accm: 2.00 (2.07) Acct: 3.10 (3.21) proj_loss: -0.4539 (-0.4572) time: 0.3619 data: 0.0002 [11-22 19:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.38 Lm: 7.041 (7.055) Lt: 6.444 (6.447) Accm: 2.02 (2.03) Acct: 2.88 (3.01) proj_loss: -0.4701 (-0.4697) time: 0.3619 data: 0.0003 [11-22 19:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 7.094 (7.086) Lt: 6.506 (6.479) Accm: 1.98 (1.97) Acct: 2.88 (2.94) proj_loss: -0.4722 (-0.4708) time: 0.3616 data: 0.0003 [11-22 19:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 7.098 (7.089) Lt: 6.444 (6.459) Accm: 1.95 (1.97) Acct: 3.05 (3.07) proj_loss: -0.4618 (-0.4616) time: 0.3616 data: 0.0002 [11-22 19:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 6.971 (6.995) Lt: 6.304 (6.351) Accm: 2.24 (2.15) Acct: 3.47 (3.31) proj_loss: -0.4692 (-0.4676) time: 0.3616 data: 0.0004 [11-22 19:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 7.099 (7.080) Lt: 6.470 (6.461) Accm: 1.82 (1.85) Acct: 2.90 (2.88) proj_loss: -0.4730 (-0.4731) time: 0.3617 data: 0.0003 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.099 (7.084) Lt: 6.483 (6.466) Accm: 1.88 (1.89) Acct: 2.94 (2.94) proj_loss: -0.4750 (-0.4739) time: 0.3597 data: 0.0018 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:03 (0.361 s / it) [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.041 (7.076) Lt: 6.444 (6.460) Accm: 1.98 (1.97) Acct: 2.88 (2.96) proj_loss: -0.4701 (-0.4696) time: 0.3597 data: 0.0016 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.076 (7.061) Lt: 6.442 (6.432) Accm: 1.98 (1.97) Acct: 3.05 (3.07) proj_loss: -0.4670 (-0.4627) time: 0.3597 data: 0.0017 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 6.991 (7.014) Lt: 6.320 (6.378) Accm: 2.19 (2.13) Acct: 3.34 (3.29) proj_loss: -0.4695 (-0.4689) time: 0.3597 data: 0.0017 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:03 (0.361 s / it) [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:03 (0.361 s / it) [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:03 (0.361 s / it) [11-22 20:02:07] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.040 (7.042), Lt: 6.414 (6.414), Acc m&t: 2.11 3.23, Remain: 2 days, 6:20:43, Finish: 2024-11-24 10:22 [11-22 20:02:07] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.040 (7.042), Lt: 6.414 (6.414), Acc m&t: 2.11 3.23, Remain: 2 days, 6:19:50, Finish: 2024-11-24 10:21 [11-22 20:02:07] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.040 (7.042), Lt: 6.414 (6.414), Acc m&t: 2.11 3.23, Remain: 2 days, 6:19:12, Finish: 2024-11-24 10:21 [11-22 20:02:07] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.040 (7.042), Lt: 6.414 (6.414), Acc m&t: 2.11 3.23, Remain: 2 days, 6:20:10, Finish: 2024-11-24 10:22 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:09:39 tlr: 0.00024 tnm: 0.38 Lm: 7.058 (7.058) Lt: 6.424 (6.424) Accm: 2.21 (2.21) Acct: 3.31 (3.31) proj_loss: -0.5085 (-0.5085) time: 0.3473 data: 0.0003 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:09:27 tlr: 0.00024 tnm: 0.38 Lm: 6.929 (6.929) Lt: 6.307 (6.307) Accm: 2.29 (2.29) Acct: 3.62 (3.62) proj_loss: -0.4906 (-0.4906) time: 0.3401 data: 0.0004 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:10:20 tlr: 0.00024 tnm: 0.38 Lm: 7.032 (7.032) Lt: 6.409 (6.409) Accm: 2.05 (2.05) Acct: 3.17 (3.17) proj_loss: -0.4971 (-0.4971) time: 0.3716 data: 0.0003 [11-22 20:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.38 Lm: 7.065 (7.065) Lt: 6.379 (6.379) Accm: 2.08 (2.08) Acct: 3.25 (3.25) proj_loss: -0.4688 (-0.4688) time: 0.3445 data: 0.0003 [11-22 20:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.37 Lm: 7.057 (7.057) Lt: 6.415 (6.415) Accm: 2.15 (2.15) Acct: 3.25 (3.25) proj_loss: -0.4825 (-0.4825) time: 0.3633 data: 0.0003 [11-22 20:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.37 Lm: 7.001 (7.001) Lt: 6.380 (6.380) Accm: 2.08 (2.08) Acct: 3.29 (3.29) proj_loss: -0.4825 (-0.4825) time: 0.3633 data: 0.0003 [11-22 20:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.37 Lm: 7.063 (7.063) Lt: 6.446 (6.446) Accm: 2.00 (2.00) Acct: 3.21 (3.21) proj_loss: -0.4906 (-0.4906) time: 0.3633 data: 0.0003 [11-22 20:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.37 Lm: 6.944 (6.944) Lt: 6.322 (6.322) Accm: 2.44 (2.44) Acct: 3.69 (3.69) proj_loss: -0.5022 (-0.5022) time: 0.3633 data: 0.0003 [11-22 20:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.39 Lm: 7.020 (6.969) Lt: 6.424 (6.363) Accm: 2.21 (2.32) Acct: 3.34 (3.58) proj_loss: -0.4959 (-0.4974) time: 0.3614 data: 0.0003 [11-22 20:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.39 Lm: 7.065 (7.063) Lt: 6.441 (6.444) Accm: 2.03 (2.01) Acct: 3.22 (3.21) proj_loss: -0.4840 (-0.4791) time: 0.3614 data: 0.0002 [11-22 20:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.39 Lm: 7.050 (7.018) Lt: 6.379 (6.361) Accm: 2.11 (2.13) Acct: 3.25 (3.29) proj_loss: -0.4855 (-0.4835) time: 0.3614 data: 0.0003 [11-22 20:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:01 tlr: 0.00024 tnm: 0.39 Lm: 7.072 (7.067) Lt: 6.454 (6.432) Accm: 1.89 (2.02) Acct: 2.96 (3.18) proj_loss: -0.4744 (-0.4785) time: 0.3614 data: 0.0002 [11-22 20:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 7.064 (7.064) Lt: 6.416 (6.418) Accm: 1.98 (2.03) Acct: 3.21 (3.25) proj_loss: -0.4724 (-0.4759) time: 0.3625 data: 0.0003 [11-22 20:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 6.928 (6.936) Lt: 6.322 (6.318) Accm: 2.39 (2.38) Acct: 3.71 (3.72) proj_loss: -0.4919 (-0.4900) time: 0.3626 data: 0.0002 [11-22 20:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 7.057 (7.045) Lt: 6.415 (6.409) Accm: 2.09 (2.11) Acct: 3.25 (3.22) proj_loss: -0.4816 (-0.4821) time: 0.3626 data: 0.0003 [11-22 20:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 7.062 (7.062) Lt: 6.453 (6.450) Accm: 2.04 (2.02) Acct: 3.19 (3.19) proj_loss: -0.4838 (-0.4802) time: 0.3626 data: 0.0003 [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.058 (7.060) Lt: 6.456 (6.451) Accm: 2.03 (2.00) Acct: 3.17 (3.15) proj_loss: -0.4836 (-0.4770) time: 0.3630 data: 0.0019 [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.056 (7.054) Lt: 6.404 (6.416) Accm: 2.08 (2.07) Acct: 3.46 (3.30) proj_loss: -0.4744 (-0.4801) time: 0.3630 data: 0.0016 [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 6.896 (6.928) Lt: 6.221 (6.297) Accm: 2.44 (2.39) Acct: 3.98 (3.77) proj_loss: -0.4880 (-0.4856) time: 0.3630 data: 0.0015 [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.065 (7.055) Lt: 6.451 (6.429) Accm: 2.08 (2.07) Acct: 3.25 (3.19) proj_loss: -0.4855 (-0.4840) time: 0.3630 data: 0.0021 [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:12:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:12:10] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.023 (7.023), Lt: 6.392 (6.392), Acc m&t: 2.14 3.30, Remain: 2 days, 6:17:24, Finish: 2024-11-24 10:29 [11-22 20:12:10] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.023 (7.023), Lt: 6.392 (6.392), Acc m&t: 2.14 3.30, Remain: 2 days, 6:18:52, Finish: 2024-11-24 10:31 [11-22 20:12:10] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.023 (7.023), Lt: 6.392 (6.392), Acc m&t: 2.14 3.30, Remain: 2 days, 6:17:04, Finish: 2024-11-24 10:29 [11-22 20:12:10] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.023 (7.023), Lt: 6.392 (6.392), Acc m&t: 2.14 3.30, Remain: 2 days, 6:18:07, Finish: 2024-11-24 10:30 [11-22 20:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.35 Lm: 7.022 (7.022) Lt: 6.354 (6.354) Accm: 2.06 (2.06) Acct: 3.10 (3.10) proj_loss: -0.4755 (-0.4755) time: 0.3432 data: 0.0003 [11-22 20:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:10:32 tlr: 0.00024 tnm: 0.35 Lm: 6.970 (6.970) Lt: 6.314 (6.314) Accm: 2.40 (2.40) Acct: 3.94 (3.94) proj_loss: -0.4812 (-0.4812) time: 0.3788 data: 0.0003 [11-22 20:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:09:28 tlr: 0.00024 tnm: 0.35 Lm: 7.088 (7.088) Lt: 6.460 (6.460) Accm: 1.96 (1.96) Acct: 2.82 (2.82) proj_loss: -0.4499 (-0.4499) time: 0.3405 data: 0.0004 [11-22 20:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:09:30 tlr: 0.00024 tnm: 0.35 Lm: 7.101 (7.101) Lt: 6.445 (6.445) Accm: 2.11 (2.11) Acct: 3.36 (3.36) proj_loss: -0.4744 (-0.4744) time: 0.3418 data: 0.0003 [11-22 20:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.37 Lm: 7.057 (7.057) Lt: 6.398 (6.398) Accm: 2.04 (2.04) Acct: 3.19 (3.19) proj_loss: -0.4707 (-0.4707) time: 0.3625 data: 0.0002 [11-22 20:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.37 Lm: 7.022 (7.022) Lt: 6.384 (6.384) Accm: 2.19 (2.19) Acct: 3.38 (3.38) proj_loss: -0.4733 (-0.4733) time: 0.3625 data: 0.0003 [11-22 20:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.37 Lm: 6.981 (6.981) Lt: 6.348 (6.348) Accm: 2.21 (2.21) Acct: 3.17 (3.17) proj_loss: -0.4705 (-0.4705) time: 0.3625 data: 0.0004 [11-22 20:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.37 Lm: 6.950 (6.950) Lt: 6.303 (6.303) Accm: 2.34 (2.34) Acct: 3.75 (3.75) proj_loss: -0.4837 (-0.4837) time: 0.3625 data: 0.0003 [11-22 20:17:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.40 Lm: 7.022 (6.998) Lt: 6.354 (6.353) Accm: 2.20 (2.19) Acct: 3.62 (3.46) proj_loss: -0.4755 (-0.4741) time: 0.3631 data: 0.0003 [11-22 20:17:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.40 Lm: 6.970 (6.974) Lt: 6.314 (6.335) Accm: 2.27 (2.30) Acct: 3.56 (3.67) proj_loss: -0.4852 (-0.4842) time: 0.3631 data: 0.0003 [11-22 20:17:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.40 Lm: 7.013 (6.978) Lt: 6.350 (6.303) Accm: 2.11 (2.24) Acct: 3.36 (3.47) proj_loss: -0.4721 (-0.4712) time: 0.3631 data: 0.0002 [11-22 20:17:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.40 Lm: 7.021 (6.995) Lt: 6.419 (6.372) Accm: 2.11 (2.18) Acct: 3.13 (3.16) proj_loss: -0.4910 (-0.4851) time: 0.3631 data: 0.0003 [11-22 20:19:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 6.992 (6.987) Lt: 6.377 (6.363) Accm: 2.07 (2.14) Acct: 3.19 (3.18) proj_loss: -0.4844 (-0.4832) time: 0.4040 data: 0.0003 [11-22 20:19:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 6.985 (6.978) Lt: 6.323 (6.335) Accm: 2.24 (2.21) Acct: 3.45 (3.42) proj_loss: -0.4755 (-0.4758) time: 0.4040 data: 0.0002 [11-22 20:19:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 6.996 (6.988) Lt: 6.356 (6.363) Accm: 2.24 (2.24) Acct: 3.53 (3.58) proj_loss: -0.4857 (-0.4865) time: 0.4040 data: 0.0002 [11-22 20:19:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.40 Lm: 6.917 (6.934) Lt: 6.233 (6.257) Accm: 2.38 (2.35) Acct: 3.70 (3.65) proj_loss: -0.4720 (-0.4714) time: 0.4040 data: 0.0003 [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 6.981 (6.943) Lt: 6.345 (6.274) Accm: 2.11 (2.30) Acct: 3.36 (3.53) proj_loss: -0.4721 (-0.4723) time: 0.3634 data: 0.0018 [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:16 (0.370 s / it) [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 6.981 (6.979) Lt: 6.352 (6.338) Accm: 2.22 (2.22) Acct: 3.51 (3.44) proj_loss: -0.4756 (-0.4763) time: 0.3634 data: 0.0017 [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.022 (7.020) Lt: 6.399 (6.393) Accm: 2.21 (2.19) Acct: 3.50 (3.47) proj_loss: -0.4852 (-0.4828) time: 0.3634 data: 0.0017 [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.021 (7.001) Lt: 6.417 (6.374) Accm: 2.07 (2.12) Acct: 3.25 (3.22) proj_loss: -0.4869 (-0.4840) time: 0.3634 data: 0.0020 [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:16 (0.370 s / it) [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:16 (0.370 s / it) [11-22 20:22:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:16 (0.370 s / it) [11-22 20:22:27] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.015 (7.015), Lt: 6.384 (6.384), Acc m&t: 2.14 3.30, Remain: 2 days, 6:18:02, Finish: 2024-11-24 10:40 [11-22 20:22:27] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.015 (7.015), Lt: 6.384 (6.384), Acc m&t: 2.14 3.30, Remain: 2 days, 6:17:07, Finish: 2024-11-24 10:39 [11-22 20:22:27] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.015 (7.015), Lt: 6.384 (6.384), Acc m&t: 2.14 3.30, Remain: 2 days, 6:18:25, Finish: 2024-11-24 10:40 [11-22 20:22:27] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.015 (7.015), Lt: 6.384 (6.384), Acc m&t: 2.14 3.30, Remain: 2 days, 6:19:00, Finish: 2024-11-24 10:41 [11-22 20:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:09:37 tlr: 0.00024 tnm: 0.37 Lm: 6.991 (6.991) Lt: 6.349 (6.349) Accm: 2.27 (2.27) Acct: 3.22 (3.22) proj_loss: -0.4824 (-0.4824) time: 0.3462 data: 0.0004 [11-22 20:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:09:38 tlr: 0.00024 tnm: 0.37 Lm: 7.080 (7.080) Lt: 6.482 (6.482) Accm: 2.03 (2.03) Acct: 3.05 (3.05) proj_loss: -0.4874 (-0.4874) time: 0.3466 data: 0.0003 [11-22 20:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:09:39 tlr: 0.00024 tnm: 0.37 Lm: 7.110 (7.110) Lt: 6.503 (6.503) Accm: 2.03 (2.03) Acct: 3.05 (3.05) proj_loss: -0.4822 (-0.4822) time: 0.3471 data: 0.0003 [11-22 20:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:09:39 tlr: 0.00024 tnm: 0.37 Lm: 6.967 (6.967) Lt: 6.328 (6.328) Accm: 2.17 (2.17) Acct: 3.13 (3.13) proj_loss: -0.4739 (-0.4739) time: 0.3472 data: 0.0004 [11-22 20:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.34 Lm: 7.005 (7.005) Lt: 6.387 (6.387) Accm: 2.14 (2.14) Acct: 3.19 (3.19) proj_loss: -0.4808 (-0.4808) time: 0.3630 data: 0.0003 [11-22 20:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.34 Lm: 6.945 (6.945) Lt: 6.291 (6.291) Accm: 2.31 (2.31) Acct: 3.47 (3.47) proj_loss: -0.4862 (-0.4862) time: 0.3629 data: 0.0002 [11-22 20:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.34 Lm: 7.054 (7.054) Lt: 6.420 (6.420) Accm: 2.00 (2.00) Acct: 3.09 (3.09) proj_loss: -0.4853 (-0.4853) time: 0.3630 data: 0.0003 [11-22 20:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:33 tlr: 0.00024 tnm: 0.34 Lm: 7.026 (7.026) Lt: 6.413 (6.413) Accm: 2.27 (2.27) Acct: 3.49 (3.49) proj_loss: -0.4879 (-0.4879) time: 0.3630 data: 0.0003 [11-22 20:27:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.36 Lm: 6.986 (7.012) Lt: 6.348 (6.391) Accm: 2.29 (2.28) Acct: 3.53 (3.50) proj_loss: -0.4932 (-0.4896) time: 0.3613 data: 0.0002 [11-22 20:27:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.36 Lm: 7.027 (7.033) Lt: 6.380 (6.407) Accm: 2.03 (2.05) Acct: 3.13 (3.16) proj_loss: -0.4832 (-0.4829) time: 0.3613 data: 0.0002 [11-22 20:27:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.36 Lm: 6.991 (6.966) Lt: 6.349 (6.322) Accm: 2.27 (2.24) Acct: 3.22 (3.37) proj_loss: -0.4824 (-0.4848) time: 0.3613 data: 0.0002 [11-22 20:27:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.36 Lm: 6.967 (6.991) Lt: 6.335 (6.370) Accm: 2.17 (2.28) Acct: 3.24 (3.47) proj_loss: -0.4766 (-0.4794) time: 0.3613 data: 0.0003 [11-22 20:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 6.965 (6.949) Lt: 6.331 (6.321) Accm: 2.35 (2.35) Acct: 3.57 (3.58) proj_loss: -0.4803 (-0.4805) time: 0.3583 data: 0.0003 [11-22 20:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.010 (7.012) Lt: 6.375 (6.398) Accm: 2.09 (2.08) Acct: 3.17 (3.17) proj_loss: -0.4806 (-0.4791) time: 0.3583 data: 0.0003 [11-22 20:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 6.976 (6.965) Lt: 6.341 (6.325) Accm: 2.27 (2.25) Acct: 3.40 (3.42) proj_loss: -0.4823 (-0.4829) time: 0.3583 data: 0.0002 [11-22 20:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.37 Lm: 7.004 (7.015) Lt: 6.364 (6.388) Accm: 2.23 (2.25) Acct: 3.51 (3.50) proj_loss: -0.4877 (-0.4874) time: 0.3583 data: 0.0002 [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.022 (7.018) Lt: 6.373 (6.385) Accm: 2.17 (2.21) Acct: 3.50 (3.43) proj_loss: -0.4822 (-0.4851) time: 0.3623 data: 0.0018 [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:04 (0.362 s / it) [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.023 (7.014) Lt: 6.379 (6.394) Accm: 2.16 (2.10) Acct: 3.20 (3.22) proj_loss: -0.4832 (-0.4812) time: 0.3623 data: 0.0015 [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 6.991 (6.986) Lt: 6.349 (6.344) Accm: 2.27 (2.23) Acct: 3.24 (3.38) proj_loss: -0.4824 (-0.4835) time: 0.3623 data: 0.0018 [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 6.967 (6.961) Lt: 6.335 (6.335) Accm: 2.40 (2.36) Acct: 3.62 (3.59) proj_loss: -0.4766 (-0.4782) time: 0.3623 data: 0.0018 [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:04 (0.362 s / it) [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:04 (0.362 s / it) [11-22 20:32:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:04 (0.362 s / it) [11-22 20:34:35] (home/user/VAR/trainer.py, line 114)=> FID: 8.625166869272789 [11-22 20:34:35] (/home/user/VAR/train.py , line 259)=> [*] [ep29] (val 50000) Lm: 7.0156, Lt: 6.3861, Acc m&t: 2.12 3.26, Val cost: 123.35s [11-22 20:34:35] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-22 20:34:48] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.015 (7.016), Lt: 6.384 (6.386), Acc m&t: 2.14 3.30, Remain: 2 days, 6:05:15, Finish: 2024-11-24 10:37 [11-22 20:34:48] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.015 (7.016), Lt: 6.384 (6.386), Acc m&t: 2.14 3.30, Remain: 2 days, 6:04:31, Finish: 2024-11-24 10:37 [11-22 20:34:48] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.015 (7.016), Lt: 6.384 (6.386), Acc m&t: 2.14 3.30, Remain: 2 days, 6:06:22, Finish: 2024-11-24 10:38 [11-22 20:34:48] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.015 (7.016), Lt: 6.384 (6.386), Acc m&t: 2.14 3.30, Remain: 2 days, 6:05:27, Finish: 2024-11-24 10:37 [11-22 20:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:09:19 tlr: 0.00024 tnm: 0.38 Lm: 6.807 (6.807) Lt: 6.148 (6.148) Accm: 2.51 (2.51) Acct: 3.84 (3.84) proj_loss: -0.4949 (-0.4949) time: 0.3350 data: 0.0004 [11-22 20:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:11:57 tlr: 0.00024 tnm: 0.38 Lm: 6.856 (6.856) Lt: 6.198 (6.198) Accm: 2.56 (2.56) Acct: 3.94 (3.94) proj_loss: -0.4835 (-0.4835) time: 0.4302 data: 0.0003 [11-22 20:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:11:55 tlr: 0.00024 tnm: 0.38 Lm: 7.083 (7.083) Lt: 6.473 (6.473) Accm: 1.71 (1.71) Acct: 2.69 (2.69) proj_loss: -0.4814 (-0.4814) time: 0.4286 data: 0.0004 [11-22 20:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:11:54 tlr: 0.00024 tnm: 0.38 Lm: 6.973 (6.973) Lt: 6.302 (6.302) Accm: 2.37 (2.37) Acct: 3.67 (3.67) proj_loss: -0.4883 (-0.4883) time: 0.4283 data: 0.0004 [11-22 20:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.38 Lm: 7.022 (7.022) Lt: 6.392 (6.392) Accm: 2.20 (2.20) Acct: 3.38 (3.38) proj_loss: -0.4894 (-0.4894) time: 0.3629 data: 0.0003 [11-22 20:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.38 Lm: 6.898 (6.898) Lt: 6.250 (6.250) Accm: 2.35 (2.35) Acct: 3.57 (3.57) proj_loss: -0.4828 (-0.4828) time: 0.3629 data: 0.0003 [11-22 20:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.38 Lm: 6.930 (6.930) Lt: 6.281 (6.281) Accm: 2.31 (2.31) Acct: 3.57 (3.57) proj_loss: -0.4877 (-0.4877) time: 0.3629 data: 0.0002 [11-22 20:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:32 tlr: 0.00024 tnm: 0.38 Lm: 7.054 (7.054) Lt: 6.430 (6.430) Accm: 1.77 (1.77) Acct: 2.82 (2.82) proj_loss: -0.4872 (-0.4872) time: 0.3629 data: 0.0003 [11-22 20:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.35 Lm: 7.041 (7.050) Lt: 6.415 (6.425) Accm: 1.83 (1.79) Acct: 2.79 (2.81) proj_loss: -0.4814 (-0.4838) time: 0.3612 data: 0.0003 [11-22 20:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.35 Lm: 6.970 (6.922) Lt: 6.309 (6.270) Accm: 2.39 (2.36) Acct: 3.67 (3.60) proj_loss: -0.4949 (-0.4890) time: 0.3611 data: 0.0003 [11-22 20:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.35 Lm: 6.973 (6.992) Lt: 6.304 (6.363) Accm: 2.32 (2.24) Acct: 3.65 (3.47) proj_loss: -0.4905 (-0.4938) time: 0.3612 data: 0.0002 [11-22 20:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:02 tlr: 0.00024 tnm: 0.35 Lm: 6.874 (6.911) Lt: 6.213 (6.258) Accm: 2.40 (2.34) Acct: 3.63 (3.59) proj_loss: -0.4835 (-0.4833) time: 0.3612 data: 0.0002 [11-22 20:42:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 6.939 (6.951) Lt: 6.288 (6.316) Accm: 2.23 (2.24) Acct: 3.42 (3.45) proj_loss: -0.4877 (-0.4898) time: 0.3622 data: 0.0003 [11-22 20:42:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 6.944 (6.921) Lt: 6.288 (6.269) Accm: 2.40 (2.37) Acct: 3.57 (3.57) proj_loss: -0.4852 (-0.4856) time: 0.3622 data: 0.0003 [11-22 20:42:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 7.048 (7.051) Lt: 6.419 (6.425) Accm: 1.84 (1.86) Acct: 2.87 (2.90) proj_loss: -0.4791 (-0.4806) time: 0.3622 data: 0.0002 [11-22 20:42:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:31 tlr: 0.00024 tnm: 0.36 Lm: 6.977 (6.989) Lt: 6.315 (6.354) Accm: 2.20 (2.20) Acct: 3.50 (3.44) proj_loss: -0.4894 (-0.4906) time: 0.3622 data: 0.0003 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.982 (7.020) Lt: 6.326 (6.390) Accm: 2.08 (2.15) Acct: 3.36 (3.34) proj_loss: -0.4883 (-0.4866) time: 0.3622 data: 0.0016 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 7.046 (7.050) Lt: 6.423 (6.428) Accm: 1.84 (1.90) Acct: 2.94 (2.94) proj_loss: -0.4814 (-0.4821) time: 0.3622 data: 0.0018 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.970 (6.946) Lt: 6.309 (6.294) Accm: 2.39 (2.31) Acct: 3.48 (3.51) proj_loss: -0.4839 (-0.4853) time: 0.3622 data: 0.0017 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 7.004 (6.967) Lt: 6.364 (6.326) Accm: 2.40 (2.27) Acct: 3.58 (3.47) proj_loss: -0.4878 (-0.4894) time: 0.3622 data: 0.0015 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:03 (0.362 s / it) [11-22 20:44:52] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.004 (7.004), Lt: 6.365 (6.365), Acc m&t: 2.17 3.36, Remain: 2 days, 5:51:25, Finish: 2024-11-24 10:36 [11-22 20:44:52] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.004 (7.004), Lt: 6.365 (6.365), Acc m&t: 2.17 3.36, Remain: 2 days, 5:49:53, Finish: 2024-11-24 10:34 [11-22 20:44:52] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.004 (7.004), Lt: 6.365 (6.365), Acc m&t: 2.17 3.36, Remain: 2 days, 5:50:04, Finish: 2024-11-24 10:34 [11-22 20:44:52] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.004 (7.004), Lt: 6.365 (6.365), Acc m&t: 2.17 3.36, Remain: 2 days, 5:50:03, Finish: 2024-11-24 10:34 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:10:11 tlr: 0.00024 tnm: 0.35 Lm: 7.069 (7.069) Lt: 6.449 (6.449) Accm: 2.05 (2.05) Acct: 3.20 (3.20) proj_loss: -0.5114 (-0.5114) time: 0.3667 data: 0.0004 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:11:00 tlr: 0.00024 tnm: 0.35 Lm: 7.092 (7.092) Lt: 6.502 (6.502) Accm: 2.19 (2.19) Acct: 3.32 (3.32) proj_loss: -0.5105 (-0.5105) time: 0.3955 data: 0.0004 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:10:12 tlr: 0.00024 tnm: 0.35 Lm: 6.989 (6.989) Lt: 6.345 (6.345) Accm: 2.03 (2.03) Acct: 2.84 (2.84) proj_loss: -0.4794 (-0.4794) time: 0.3669 data: 0.0003 [11-22 20:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:10:13 tlr: 0.00024 tnm: 0.35 Lm: 6.882 (6.882) Lt: 6.194 (6.194) Accm: 2.60 (2.60) Acct: 3.91 (3.91) proj_loss: -0.5030 (-0.5030) time: 0.3675 data: 0.0005 [11-22 20:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 6.985 (6.985) Lt: 6.318 (6.318) Accm: 2.40 (2.40) Acct: 3.68 (3.68) proj_loss: -0.4961 (-0.4961) time: 0.3608 data: 0.0003 [11-22 20:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 7.018 (7.018) Lt: 6.381 (6.381) Accm: 2.25 (2.25) Acct: 3.51 (3.51) proj_loss: -0.5048 (-0.5048) time: 0.3608 data: 0.0002 [11-22 20:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 7.049 (7.049) Lt: 6.427 (6.427) Accm: 2.06 (2.06) Acct: 3.21 (3.21) proj_loss: -0.4994 (-0.4994) time: 0.3608 data: 0.0002 [11-22 20:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 7.042 (7.042) Lt: 6.398 (6.398) Accm: 2.09 (2.09) Acct: 3.12 (3.12) proj_loss: -0.4818 (-0.4818) time: 0.3608 data: 0.0003 [11-22 20:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 6.989 (7.009) Lt: 6.345 (6.348) Accm: 2.16 (2.16) Acct: 3.39 (3.35) proj_loss: -0.4842 (-0.4829) time: 0.3628 data: 0.0003 [11-22 20:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.002 (7.012) Lt: 6.352 (6.371) Accm: 2.19 (2.16) Acct: 3.32 (3.35) proj_loss: -0.4991 (-0.5013) time: 0.3628 data: 0.0002 [11-22 20:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.029 (7.031) Lt: 6.405 (6.401) Accm: 2.06 (2.13) Acct: 3.22 (3.34) proj_loss: -0.4873 (-0.4918) time: 0.3628 data: 0.0003 [11-22 20:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.009 (6.993) Lt: 6.363 (6.333) Accm: 2.29 (2.36) Acct: 3.48 (3.62) proj_loss: -0.4892 (-0.4903) time: 0.3628 data: 0.0003 [11-22 20:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:33 tlr: 0.00023 tnm: 0.37 Lm: 6.993 (6.989) Lt: 6.354 (6.336) Accm: 2.32 (2.36) Acct: 3.61 (3.65) proj_loss: -0.4840 (-0.4856) time: 0.5088 data: 0.0003 [11-22 20:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:33 tlr: 0.00023 tnm: 0.37 Lm: 7.012 (7.001) Lt: 6.377 (6.367) Accm: 2.16 (2.19) Acct: 3.41 (3.51) proj_loss: -0.4978 (-0.4960) time: 0.5088 data: 0.0003 [11-22 20:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:33 tlr: 0.00023 tnm: 0.37 Lm: 7.007 (7.012) Lt: 6.372 (6.376) Accm: 2.16 (2.15) Acct: 3.17 (3.22) proj_loss: -0.4967 (-0.4958) time: 0.5088 data: 0.0002 [11-22 20:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:33 tlr: 0.00023 tnm: 0.37 Lm: 7.042 (7.036) Lt: 6.398 (6.384) Accm: 2.09 (2.02) Acct: 3.12 (3.15) proj_loss: -0.4847 (-0.4839) time: 0.5088 data: 0.0003 [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.989 (7.020) Lt: 6.345 (6.369) Accm: 2.16 (2.08) Acct: 3.39 (3.23) proj_loss: -0.4852 (-0.4851) time: 0.3642 data: 0.0017 [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:19 (0.371 s / it) [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.977 (6.962) Lt: 6.345 (6.310) Accm: 2.35 (2.40) Acct: 3.74 (3.72) proj_loss: -0.4787 (-0.4834) time: 0.3642 data: 0.0016 [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.002 (6.996) Lt: 6.352 (6.356) Accm: 2.19 (2.24) Acct: 3.32 (3.39) proj_loss: -0.4944 (-0.4944) time: 0.3641 data: 0.0018 [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.029 (7.026) Lt: 6.405 (6.386) Accm: 2.06 (2.14) Acct: 3.22 (3.42) proj_loss: -0.4873 (-0.4924) time: 0.3642 data: 0.0019 [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:19 (0.371 s / it) [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:20 (0.371 s / it) [11-22 20:55:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:19 (0.371 s / it) [11-22 20:55:12] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.994 (6.994), Lt: 6.351 (6.351), Acc m&t: 2.17 3.36, Remain: 2 days, 5:51:11, Finish: 2024-11-24 10:46 [11-22 20:55:12] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.994 (6.994), Lt: 6.351 (6.351), Acc m&t: 2.17 3.36, Remain: 2 days, 5:50:30, Finish: 2024-11-24 10:45 [11-22 20:55:12] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.994 (6.994), Lt: 6.351 (6.351), Acc m&t: 2.17 3.36, Remain: 2 days, 5:50:55, Finish: 2024-11-24 10:46 [11-22 20:55:12] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.994 (6.994), Lt: 6.351 (6.351), Acc m&t: 2.17 3.36, Remain: 2 days, 5:51:52, Finish: 2024-11-24 10:47 [11-22 20:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:37 tlr: 0.00023 tnm: 0.36 Lm: 6.808 (6.808) Lt: 6.143 (6.143) Accm: 2.55 (2.55) Acct: 3.99 (3.99) proj_loss: -0.4945 (-0.4945) time: 0.3459 data: 0.0003 [11-22 20:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:38 tlr: 0.00023 tnm: 0.36 Lm: 7.000 (7.000) Lt: 6.354 (6.354) Accm: 2.20 (2.20) Acct: 3.43 (3.43) proj_loss: -0.5034 (-0.5034) time: 0.3463 data: 0.0004 [11-22 20:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:38 tlr: 0.00023 tnm: 0.36 Lm: 7.005 (7.005) Lt: 6.349 (6.349) Accm: 2.29 (2.29) Acct: 3.56 (3.56) proj_loss: -0.4874 (-0.4874) time: 0.3467 data: 0.0004 [11-22 20:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:39 tlr: 0.00023 tnm: 0.36 Lm: 7.010 (7.010) Lt: 6.375 (6.375) Accm: 2.21 (2.21) Acct: 3.44 (3.44) proj_loss: -0.4780 (-0.4780) time: 0.3470 data: 0.0004 [11-22 20:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.34 Lm: 6.994 (6.994) Lt: 6.343 (6.343) Accm: 2.29 (2.29) Acct: 3.44 (3.44) proj_loss: -0.4768 (-0.4768) time: 0.3618 data: 0.0002 [11-22 20:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.34 Lm: 6.949 (6.949) Lt: 6.313 (6.313) Accm: 2.39 (2.39) Acct: 3.61 (3.61) proj_loss: -0.4862 (-0.4862) time: 0.3618 data: 0.0003 [11-22 20:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.34 Lm: 7.029 (7.029) Lt: 6.374 (6.374) Accm: 2.15 (2.15) Acct: 3.36 (3.36) proj_loss: -0.4874 (-0.4874) time: 0.3618 data: 0.0003 [11-22 20:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.34 Lm: 6.935 (6.935) Lt: 6.274 (6.274) Accm: 2.27 (2.27) Acct: 3.62 (3.62) proj_loss: -0.4908 (-0.4908) time: 0.3618 data: 0.0002 [11-22 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.004 (6.958) Lt: 6.349 (6.299) Accm: 2.26 (2.26) Acct: 3.51 (3.59) proj_loss: -0.4945 (-0.4960) time: 0.3621 data: 0.0002 [11-22 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.058 (7.046) Lt: 6.395 (6.414) Accm: 2.09 (2.11) Acct: 3.29 (3.32) proj_loss: -0.4813 (-0.4854) time: 0.3621 data: 0.0002 [11-22 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.005 (6.986) Lt: 6.349 (6.357) Accm: 2.29 (2.24) Acct: 3.56 (3.41) proj_loss: -0.4874 (-0.4904) time: 0.3621 data: 0.0003 [11-22 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 6.978 (6.977) Lt: 6.311 (6.318) Accm: 2.37 (2.33) Acct: 3.44 (3.60) proj_loss: -0.4780 (-0.4824) time: 0.3621 data: 0.0002 [11-22 21:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 6.977 (6.977) Lt: 6.322 (6.322) Accm: 2.29 (2.27) Acct: 3.44 (3.54) proj_loss: -0.4799 (-0.4822) time: 0.3611 data: 0.0003 [11-22 21:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 7.007 (6.971) Lt: 6.359 (6.317) Accm: 2.12 (2.18) Acct: 3.38 (3.42) proj_loss: -0.4938 (-0.4952) time: 0.3611 data: 0.0003 [11-22 21:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 7.015 (6.996) Lt: 6.373 (6.367) Accm: 2.19 (2.20) Acct: 3.29 (3.28) proj_loss: -0.4911 (-0.4915) time: 0.3611 data: 0.0003 [11-22 21:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 7.029 (6.992) Lt: 6.374 (6.361) Accm: 2.15 (2.17) Acct: 3.35 (3.34) proj_loss: -0.4912 (-0.4893) time: 0.3611 data: 0.0003 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.000 (6.991) Lt: 6.354 (6.353) Accm: 2.19 (2.17) Acct: 3.41 (3.38) proj_loss: -0.4813 (-0.4865) time: 0.3645 data: 0.0020 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.010 (6.991) Lt: 6.369 (6.347) Accm: 1.98 (2.11) Acct: 3.25 (3.27) proj_loss: -0.4930 (-0.4942) time: 0.3645 data: 0.0019 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.976 (6.957) Lt: 6.311 (6.305) Accm: 2.23 (2.27) Acct: 3.44 (3.56) proj_loss: -0.4817 (-0.4843) time: 0.3645 data: 0.0017 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.005 (6.987) Lt: 6.349 (6.357) Accm: 2.28 (2.22) Acct: 3.46 (3.31) proj_loss: -0.4948 (-0.4925) time: 0.3645 data: 0.0019 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:05:17] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.979 (6.979), Lt: 6.336 (6.336), Acc m&t: 2.21 3.43, Remain: 2 days, 5:41:57, Finish: 2024-11-24 10:47 [11-22 21:05:17] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.979 (6.979), Lt: 6.336 (6.336), Acc m&t: 2.21 3.43, Remain: 2 days, 5:40:55, Finish: 2024-11-24 10:46 [11-22 21:05:17] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.979 (6.979), Lt: 6.336 (6.336), Acc m&t: 2.21 3.43, Remain: 2 days, 5:41:07, Finish: 2024-11-24 10:46 [11-22 21:05:17] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.979 (6.979), Lt: 6.336 (6.336), Acc m&t: 2.21 3.43, Remain: 2 days, 5:40:52, Finish: 2024-11-24 10:46 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:09:33 tlr: 0.00023 tnm: 0.36 Lm: 7.128 (7.128) Lt: 6.510 (6.510) Accm: 1.80 (1.80) Acct: 2.79 (2.79) proj_loss: -0.4922 (-0.4922) time: 0.3439 data: 0.0004 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:10:14 tlr: 0.00023 tnm: 0.36 Lm: 6.947 (6.947) Lt: 6.277 (6.277) Accm: 2.48 (2.48) Acct: 4.01 (4.01) proj_loss: -0.4740 (-0.4740) time: 0.3680 data: 0.0004 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:09:34 tlr: 0.00023 tnm: 0.36 Lm: 7.000 (7.000) Lt: 6.354 (6.354) Accm: 2.43 (2.43) Acct: 3.56 (3.56) proj_loss: -0.5037 (-0.5037) time: 0.3440 data: 0.0003 [11-22 21:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:09:30 tlr: 0.00023 tnm: 0.36 Lm: 6.945 (6.945) Lt: 6.241 (6.241) Accm: 2.32 (2.32) Acct: 3.87 (3.87) proj_loss: -0.4651 (-0.4651) time: 0.3420 data: 0.0004 [11-22 21:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.37 Lm: 6.956 (6.956) Lt: 6.298 (6.298) Accm: 2.30 (2.30) Acct: 3.67 (3.67) proj_loss: -0.4795 (-0.4795) time: 0.3624 data: 0.0003 [11-22 21:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.37 Lm: 6.885 (6.885) Lt: 6.220 (6.220) Accm: 2.66 (2.66) Acct: 4.03 (4.03) proj_loss: -0.4961 (-0.4961) time: 0.3625 data: 0.0003 [11-22 21:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.37 Lm: 7.077 (7.077) Lt: 6.433 (6.433) Accm: 1.98 (1.98) Acct: 3.20 (3.20) proj_loss: -0.4878 (-0.4878) time: 0.3624 data: 0.0002 [11-22 21:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.37 Lm: 6.898 (6.898) Lt: 6.230 (6.230) Accm: 2.45 (2.45) Acct: 3.75 (3.75) proj_loss: -0.4853 (-0.4853) time: 0.3625 data: 0.0002 [11-22 21:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.35 Lm: 6.947 (6.921) Lt: 6.277 (6.252) Accm: 2.42 (2.39) Acct: 3.53 (3.68) proj_loss: -0.4814 (-0.4840) time: 0.3633 data: 0.0002 [11-22 21:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.35 Lm: 7.000 (6.925) Lt: 6.354 (6.276) Accm: 2.43 (2.45) Acct: 3.56 (3.71) proj_loss: -0.4978 (-0.4966) time: 0.3633 data: 0.0003 [11-22 21:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.35 Lm: 7.025 (6.974) Lt: 6.356 (6.320) Accm: 2.16 (2.30) Acct: 3.62 (3.67) proj_loss: -0.4922 (-0.4929) time: 0.3633 data: 0.0002 [11-22 21:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.35 Lm: 6.966 (7.028) Lt: 6.354 (6.395) Accm: 2.28 (2.10) Acct: 3.46 (3.36) proj_loss: -0.4752 (-0.4781) time: 0.3633 data: 0.0002 [11-22 21:12:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.39 Lm: 6.956 (6.981) Lt: 6.298 (6.349) Accm: 2.30 (2.19) Acct: 3.66 (3.49) proj_loss: -0.4846 (-0.4845) time: 0.3626 data: 0.0003 [11-22 21:12:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.39 Lm: 6.957 (6.941) Lt: 6.287 (6.283) Accm: 2.34 (2.31) Acct: 3.51 (3.56) proj_loss: -0.4856 (-0.4854) time: 0.3626 data: 0.0002 [11-22 21:12:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.39 Lm: 7.047 (6.998) Lt: 6.392 (6.347) Accm: 2.02 (2.19) Acct: 3.31 (3.50) proj_loss: -0.4878 (-0.4901) time: 0.3626 data: 0.0002 [11-22 21:12:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.39 Lm: 7.003 (6.958) Lt: 6.372 (6.316) Accm: 2.29 (2.38) Acct: 3.37 (3.58) proj_loss: -0.4937 (-0.4949) time: 0.3626 data: 0.0003 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.007 (6.970) Lt: 6.356 (6.324) Accm: 2.15 (2.31) Acct: 3.22 (3.51) proj_loss: -0.4896 (-0.4904) time: 0.3633 data: 0.0021 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.069 (7.015) Lt: 6.429 (6.366) Accm: 1.88 (2.09) Acct: 3.00 (3.30) proj_loss: -0.4834 (-0.4873) time: 0.3633 data: 0.0016 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.967 (6.956) Lt: 6.296 (6.303) Accm: 2.30 (2.31) Acct: 3.53 (3.57) proj_loss: -0.4898 (-0.4869) time: 0.3633 data: 0.0016 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.966 (7.023) Lt: 6.354 (6.399) Accm: 2.28 (2.14) Acct: 3.46 (3.39) proj_loss: -0.4921 (-0.4860) time: 0.3633 data: 0.0020 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:15:21] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.979 (6.981), Lt: 6.335 (6.335), Acc m&t: 2.22 3.43, Remain: 2 days, 5:33:21, Finish: 2024-11-24 10:48 [11-22 21:15:21] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.979 (6.981), Lt: 6.335 (6.335), Acc m&t: 2.22 3.43, Remain: 2 days, 5:33:34, Finish: 2024-11-24 10:48 [11-22 21:15:21] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.979 (6.981), Lt: 6.335 (6.335), Acc m&t: 2.22 3.43, Remain: 2 days, 5:32:29, Finish: 2024-11-24 10:47 [11-22 21:15:21] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.979 (6.981), Lt: 6.335 (6.335), Acc m&t: 2.22 3.43, Remain: 2 days, 5:32:42, Finish: 2024-11-24 10:48 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:10:14 tlr: 0.00023 tnm: 0.33 Lm: 7.057 (7.057) Lt: 6.424 (6.424) Accm: 2.03 (2.03) Acct: 3.22 (3.22) proj_loss: -0.5129 (-0.5129) time: 0.3683 data: 0.0003 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:09:44 tlr: 0.00023 tnm: 0.33 Lm: 7.098 (7.098) Lt: 6.474 (6.474) Accm: 2.03 (2.03) Acct: 3.00 (3.00) proj_loss: -0.4820 (-0.4820) time: 0.3502 data: 0.0004 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:09:46 tlr: 0.00023 tnm: 0.33 Lm: 6.870 (6.870) Lt: 6.236 (6.236) Accm: 2.33 (2.33) Acct: 3.50 (3.50) proj_loss: -0.4869 (-0.4869) time: 0.3512 data: 0.0004 [11-22 21:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:09:43 tlr: 0.00023 tnm: 0.33 Lm: 6.901 (6.901) Lt: 6.232 (6.232) Accm: 2.53 (2.53) Acct: 3.82 (3.82) proj_loss: -0.4907 (-0.4907) time: 0.3498 data: 0.0004 [11-22 21:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 7.021 (7.021) Lt: 6.375 (6.375) Accm: 2.19 (2.19) Acct: 3.37 (3.37) proj_loss: -0.5012 (-0.5012) time: 0.3605 data: 0.0002 [11-22 21:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 7.026 (7.026) Lt: 6.392 (6.392) Accm: 2.02 (2.02) Acct: 3.16 (3.16) proj_loss: -0.4965 (-0.4965) time: 0.3605 data: 0.0002 [11-22 21:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 6.970 (6.970) Lt: 6.313 (6.313) Accm: 2.22 (2.22) Acct: 3.41 (3.41) proj_loss: -0.4952 (-0.4952) time: 0.3605 data: 0.0003 [11-22 21:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 6.915 (6.915) Lt: 6.278 (6.278) Accm: 2.40 (2.40) Acct: 3.66 (3.66) proj_loss: -0.4970 (-0.4970) time: 0.3606 data: 0.0003 [11-22 21:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 6.870 (6.867) Lt: 6.236 (6.212) Accm: 2.47 (2.61) Acct: 3.82 (4.07) proj_loss: -0.4869 (-0.4934) time: 0.3647 data: 0.0003 [11-22 21:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 7.033 (7.028) Lt: 6.424 (6.408) Accm: 2.03 (2.03) Acct: 3.10 (3.13) proj_loss: -0.5060 (-0.4997) time: 0.3647 data: 0.0003 [11-22 21:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 6.925 (6.955) Lt: 6.297 (6.307) Accm: 2.37 (2.27) Acct: 3.72 (3.51) proj_loss: -0.4933 (-0.4945) time: 0.3647 data: 0.0003 [11-22 21:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 7.121 (7.055) Lt: 6.518 (6.426) Accm: 2.14 (2.18) Acct: 3.41 (3.38) proj_loss: -0.4907 (-0.4968) time: 0.3647 data: 0.0003 [11-22 21:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.36 Lm: 7.108 (7.065) Lt: 6.470 (6.425) Accm: 2.02 (2.11) Acct: 3.25 (3.31) proj_loss: -0.4893 (-0.4944) time: 0.4537 data: 0.0002 [11-22 21:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.36 Lm: 6.915 (6.916) Lt: 6.278 (6.273) Accm: 2.40 (2.46) Acct: 3.66 (3.81) proj_loss: -0.4949 (-0.4958) time: 0.4537 data: 0.0003 [11-22 21:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.36 Lm: 7.014 (7.002) Lt: 6.392 (6.368) Accm: 2.04 (2.11) Acct: 3.16 (3.24) proj_loss: -0.5019 (-0.4992) time: 0.4537 data: 0.0002 [11-22 21:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.36 Lm: 6.927 (6.949) Lt: 6.270 (6.291) Accm: 2.35 (2.28) Acct: 3.62 (3.52) proj_loss: -0.5006 (-0.4979) time: 0.4537 data: 0.0003 [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.39 Lm: 6.929 (6.970) Lt: 6.297 (6.319) Accm: 2.32 (2.19) Acct: 3.53 (3.38) proj_loss: -0.4946 (-0.4972) time: 0.3636 data: 0.0016 [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.39 Lm: 6.961 (6.935) Lt: 6.319 (6.296) Accm: 2.33 (2.41) Acct: 3.50 (3.70) proj_loss: -0.4954 (-0.4957) time: 0.3636 data: 0.0016 [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.39 Lm: 6.995 (6.976) Lt: 6.361 (6.347) Accm: 2.05 (2.18) Acct: 3.22 (3.38) proj_loss: -0.4978 (-0.4983) time: 0.3636 data: 0.0017 [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.39 Lm: 7.096 (7.031) Lt: 6.422 (6.383) Accm: 2.14 (2.15) Acct: 3.41 (3.38) proj_loss: -0.4907 (-0.4945) time: 0.3636 data: 0.0016 [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:25:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:25:42] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.979 (6.979), Lt: 6.333 (6.333), Acc m&t: 2.22 3.43, Remain: 2 days, 5:28:04, Finish: 2024-11-24 10:53 [11-22 21:25:42] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.979 (6.979), Lt: 6.333 (6.333), Acc m&t: 2.22 3.43, Remain: 2 days, 5:26:36, Finish: 2024-11-24 10:52 [11-22 21:25:42] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.979 (6.979), Lt: 6.333 (6.333), Acc m&t: 2.22 3.43, Remain: 2 days, 5:26:52, Finish: 2024-11-24 10:52 [11-22 21:25:42] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.979 (6.979), Lt: 6.333 (6.333), Acc m&t: 2.22 3.43, Remain: 2 days, 5:26:23, Finish: 2024-11-24 10:52 [11-22 21:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:09:23 tlr: 0.00023 tnm: 0.39 Lm: 7.013 (7.013) Lt: 6.350 (6.350) Accm: 2.26 (2.26) Acct: 3.53 (3.53) proj_loss: -0.4877 (-0.4877) time: 0.3378 data: 0.0003 [11-22 21:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:10:31 tlr: 0.00023 tnm: 0.39 Lm: 6.915 (6.915) Lt: 6.248 (6.248) Accm: 2.48 (2.48) Acct: 3.98 (3.98) proj_loss: -0.5171 (-0.5171) time: 0.3787 data: 0.0004 [11-22 21:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:16:04 tlr: 0.00023 tnm: 0.39 Lm: 7.140 (7.140) Lt: 6.507 (6.507) Accm: 1.93 (1.93) Acct: 3.06 (3.06) proj_loss: -0.4901 (-0.4901) time: 0.5779 data: 0.0005 [11-22 21:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:16:46 tlr: 0.00023 tnm: 0.39 Lm: 7.027 (7.027) Lt: 6.346 (6.346) Accm: 2.02 (2.02) Acct: 3.10 (3.10) proj_loss: -0.4922 (-0.4922) time: 0.6030 data: 0.0004 [11-22 21:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.40 Lm: 6.993 (6.993) Lt: 6.316 (6.316) Accm: 2.15 (2.15) Acct: 3.30 (3.30) proj_loss: -0.4916 (-0.4916) time: 0.3587 data: 0.0002 [11-22 21:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.40 Lm: 7.015 (7.015) Lt: 6.375 (6.375) Accm: 2.07 (2.07) Acct: 3.25 (3.25) proj_loss: -0.4923 (-0.4923) time: 0.3587 data: 0.0003 [11-22 21:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.40 Lm: 6.964 (6.964) Lt: 6.303 (6.303) Accm: 2.22 (2.22) Acct: 3.54 (3.54) proj_loss: -0.5000 (-0.5000) time: 0.3587 data: 0.0002 [11-22 21:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.40 Lm: 7.004 (7.004) Lt: 6.358 (6.358) Accm: 2.30 (2.30) Acct: 3.63 (3.63) proj_loss: -0.4993 (-0.4993) time: 0.3587 data: 0.0003 [11-22 21:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.38 Lm: 6.995 (6.979) Lt: 6.350 (6.322) Accm: 2.26 (2.27) Acct: 3.53 (3.52) proj_loss: -0.5072 (-0.5019) time: 0.3618 data: 0.0003 [11-22 21:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.38 Lm: 6.960 (6.977) Lt: 6.286 (6.304) Accm: 2.11 (2.14) Acct: 3.46 (3.35) proj_loss: -0.4922 (-0.4971) time: 0.3618 data: 0.0002 [11-22 21:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.38 Lm: 7.073 (7.035) Lt: 6.418 (6.389) Accm: 2.11 (2.08) Acct: 3.37 (3.29) proj_loss: -0.4921 (-0.4922) time: 0.3618 data: 0.0003 [11-22 21:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.38 Lm: 6.933 (6.953) Lt: 6.290 (6.298) Accm: 2.37 (2.27) Acct: 3.91 (3.66) proj_loss: -0.5044 (-0.5015) time: 0.3618 data: 0.0002 [11-22 21:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.36 Lm: 6.973 (7.009) Lt: 6.323 (6.356) Accm: 2.17 (2.16) Acct: 3.50 (3.43) proj_loss: -0.4992 (-0.4996) time: 0.3600 data: 0.0003 [11-22 21:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.36 Lm: 6.990 (6.981) Lt: 6.333 (6.321) Accm: 2.23 (2.20) Acct: 3.41 (3.37) proj_loss: -0.5033 (-0.5013) time: 0.3599 data: 0.0003 [11-22 21:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.36 Lm: 6.967 (6.976) Lt: 6.315 (6.314) Accm: 2.20 (2.20) Acct: 3.48 (3.42) proj_loss: -0.4940 (-0.4967) time: 0.3600 data: 0.0003 [11-22 21:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.36 Lm: 7.037 (7.026) Lt: 6.391 (6.383) Accm: 2.16 (2.11) Acct: 3.37 (3.31) proj_loss: -0.4933 (-0.4975) time: 0.3599 data: 0.0003 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.985 (6.979) Lt: 6.328 (6.322) Accm: 2.26 (2.22) Acct: 3.48 (3.40) proj_loss: -0.4994 (-0.4952) time: 0.3636 data: 0.0017 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.001 (7.017) Lt: 6.384 (6.383) Accm: 2.20 (2.16) Acct: 3.37 (3.40) proj_loss: -0.4946 (-0.4992) time: 0.3636 data: 0.0018 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.013 (7.017) Lt: 6.357 (6.368) Accm: 2.06 (2.14) Acct: 3.34 (3.41) proj_loss: -0.4958 (-0.4989) time: 0.3636 data: 0.0016 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.974 (6.976) Lt: 6.344 (6.320) Accm: 2.11 (2.18) Acct: 3.50 (3.45) proj_loss: -0.4957 (-0.4982) time: 0.3636 data: 0.0019 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:10:04 (0.362 s / it) [11-22 21:35:47] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.978 (6.978), Lt: 6.331 (6.331), Acc m&t: 2.23 3.47, Remain: 2 days, 5:17:48, Finish: 2024-11-24 10:53 [11-22 21:35:47] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.978 (6.978), Lt: 6.331 (6.331), Acc m&t: 2.23 3.47, Remain: 2 days, 5:19:32, Finish: 2024-11-24 10:55 [11-22 21:35:47] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.978 (6.978), Lt: 6.331 (6.331), Acc m&t: 2.23 3.47, Remain: 2 days, 5:17:47, Finish: 2024-11-24 10:53 [11-22 21:35:47] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.978 (6.978), Lt: 6.331 (6.331), Acc m&t: 2.23 3.47, Remain: 2 days, 5:18:39, Finish: 2024-11-24 10:54 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:02 tlr: 0.00023 tnm: 0.35 Lm: 6.974 (6.974) Lt: 6.353 (6.353) Accm: 1.97 (1.97) Acct: 2.84 (2.84) proj_loss: -0.5102 (-0.5102) time: 0.3612 data: 0.0003 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:45 tlr: 0.00023 tnm: 0.35 Lm: 7.059 (7.059) Lt: 6.468 (6.468) Accm: 2.03 (2.03) Acct: 3.05 (3.05) proj_loss: -0.4755 (-0.4755) time: 0.3868 data: 0.0003 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:03 tlr: 0.00023 tnm: 0.35 Lm: 6.967 (6.967) Lt: 6.300 (6.300) Accm: 2.27 (2.27) Acct: 3.50 (3.50) proj_loss: -0.5044 (-0.5044) time: 0.3615 data: 0.0004 [11-22 21:35:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:06 tlr: 0.00023 tnm: 0.35 Lm: 6.808 (6.808) Lt: 6.170 (6.170) Accm: 2.51 (2.51) Acct: 3.68 (3.68) proj_loss: -0.5171 (-0.5171) time: 0.3633 data: 0.0004 [11-22 21:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 6.834 (6.834) Lt: 6.218 (6.218) Accm: 2.52 (2.52) Acct: 3.65 (3.65) proj_loss: -0.5083 (-0.5083) time: 0.3646 data: 0.0003 [11-22 21:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 6.998 (6.998) Lt: 6.366 (6.366) Accm: 2.08 (2.08) Acct: 3.19 (3.19) proj_loss: -0.5147 (-0.5147) time: 0.3646 data: 0.0003 [11-22 21:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 7.010 (7.010) Lt: 6.384 (6.384) Accm: 1.93 (1.93) Acct: 2.90 (2.90) proj_loss: -0.5018 (-0.5018) time: 0.3646 data: 0.0002 [11-22 21:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.36 Lm: 6.965 (6.965) Lt: 6.359 (6.359) Accm: 2.27 (2.27) Acct: 3.52 (3.52) proj_loss: -0.4890 (-0.4890) time: 0.3646 data: 0.0003 [11-22 21:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.34 Lm: 6.871 (6.934) Lt: 6.251 (6.315) Accm: 2.32 (2.29) Acct: 3.63 (3.56) proj_loss: -0.4988 (-0.4923) time: 0.3635 data: 0.0003 [11-22 21:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.34 Lm: 6.974 (6.994) Lt: 6.353 (6.352) Accm: 1.97 (2.09) Acct: 2.96 (3.24) proj_loss: -0.5047 (-0.5027) time: 0.3635 data: 0.0003 [11-22 21:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.34 Lm: 6.848 (6.838) Lt: 6.210 (6.215) Accm: 2.53 (2.52) Acct: 3.68 (3.79) proj_loss: -0.5089 (-0.5085) time: 0.3635 data: 0.0003 [11-22 21:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.34 Lm: 7.029 (7.018) Lt: 6.411 (6.381) Accm: 1.89 (2.01) Acct: 2.89 (3.09) proj_loss: -0.5044 (-0.5042) time: 0.3635 data: 0.0003 [11-22 21:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 6.998 (7.005) Lt: 6.363 (6.364) Accm: 2.08 (2.12) Acct: 3.19 (3.22) proj_loss: -0.4937 (-0.4989) time: 0.3626 data: 0.0003 [11-22 21:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 6.965 (6.981) Lt: 6.359 (6.359) Accm: 2.17 (2.22) Acct: 3.34 (3.43) proj_loss: -0.4983 (-0.4937) time: 0.3626 data: 0.0003 [11-22 21:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 6.990 (6.997) Lt: 6.356 (6.354) Accm: 2.04 (2.09) Acct: 3.09 (3.23) proj_loss: -0.5053 (-0.5035) time: 0.3626 data: 0.0002 [11-22 21:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 6.854 (6.859) Lt: 6.230 (6.224) Accm: 2.52 (2.51) Acct: 3.75 (3.80) proj_loss: -0.5042 (-0.5057) time: 0.3626 data: 0.0003 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 6.859 (6.871) Lt: 6.249 (6.230) Accm: 2.51 (2.40) Acct: 3.68 (3.67) proj_loss: -0.4995 (-0.4990) time: 0.3638 data: 0.0018 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:05 (0.363 s / it) [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 6.967 (6.987) Lt: 6.314 (6.339) Accm: 2.24 (2.14) Acct: 3.50 (3.30) proj_loss: -0.4929 (-0.4977) time: 0.3638 data: 0.0016 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 6.874 (6.960) Lt: 6.251 (6.332) Accm: 2.32 (2.24) Acct: 3.43 (3.43) proj_loss: -0.4988 (-0.4955) time: 0.3638 data: 0.0017 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 7.006 (7.010) Lt: 6.359 (6.377) Accm: 1.97 (2.03) Acct: 2.96 (3.14) proj_loss: -0.5047 (-0.5034) time: 0.3638 data: 0.0017 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:05 (0.363 s / it) [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:05 (0.363 s / it) [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:05 (0.363 s / it) [11-22 21:45:52] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.967 (6.967), Lt: 6.319 (6.319), Acc m&t: 2.24 3.47, Remain: 2 days, 5:13:36, Finish: 2024-11-24 10:59 [11-22 21:45:52] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.967 (6.967), Lt: 6.319 (6.319), Acc m&t: 2.24 3.47, Remain: 2 days, 5:13:52, Finish: 2024-11-24 10:59 [11-22 21:45:52] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.967 (6.967), Lt: 6.319 (6.319), Acc m&t: 2.24 3.47, Remain: 2 days, 5:13:40, Finish: 2024-11-24 10:59 [11-22 21:45:52] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.967 (6.967), Lt: 6.319 (6.319), Acc m&t: 2.24 3.47, Remain: 2 days, 5:14:24, Finish: 2024-11-24 11:00 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:09:44 tlr: 0.00023 tnm: 0.38 Lm: 7.025 (7.025) Lt: 6.434 (6.434) Accm: 1.90 (1.90) Acct: 3.06 (3.06) proj_loss: -0.4985 (-0.4985) time: 0.3502 data: 0.0003 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:09:44 tlr: 0.00023 tnm: 0.38 Lm: 7.158 (7.158) Lt: 6.583 (6.583) Accm: 1.79 (1.79) Acct: 3.03 (3.03) proj_loss: -0.5098 (-0.5098) time: 0.3500 data: 0.0004 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:09:45 tlr: 0.00023 tnm: 0.38 Lm: 6.881 (6.881) Lt: 6.153 (6.153) Accm: 2.42 (2.42) Acct: 3.99 (3.99) proj_loss: -0.4870 (-0.4870) time: 0.3507 data: 0.0004 [11-22 21:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:10:27 tlr: 0.00023 tnm: 0.38 Lm: 7.056 (7.056) Lt: 6.461 (6.461) Accm: 2.03 (2.03) Acct: 2.98 (2.98) proj_loss: -0.4949 (-0.4949) time: 0.3758 data: 0.0004 [11-22 21:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.38 Lm: 7.014 (7.014) Lt: 6.381 (6.381) Accm: 2.13 (2.13) Acct: 3.17 (3.17) proj_loss: -0.4983 (-0.4983) time: 0.3617 data: 0.0003 [11-22 21:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.38 Lm: 7.034 (7.034) Lt: 6.423 (6.423) Accm: 1.89 (1.89) Acct: 2.94 (2.94) proj_loss: -0.4983 (-0.4983) time: 0.3617 data: 0.0002 [11-22 21:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.38 Lm: 6.875 (6.875) Lt: 6.189 (6.189) Accm: 2.41 (2.41) Acct: 3.79 (3.79) proj_loss: -0.4994 (-0.4994) time: 0.3617 data: 0.0003 [11-22 21:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.38 Lm: 7.074 (7.074) Lt: 6.463 (6.463) Accm: 1.95 (1.95) Acct: 3.19 (3.19) proj_loss: -0.4994 (-0.4994) time: 0.3617 data: 0.0003 [11-22 21:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.036 (7.062) Lt: 6.401 (6.443) Accm: 2.03 (1.98) Acct: 3.31 (3.23) proj_loss: -0.5098 (-0.5036) time: 0.3588 data: 0.0003 [11-22 21:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 7.025 (7.005) Lt: 6.411 (6.371) Accm: 1.90 (2.04) Acct: 3.06 (3.16) proj_loss: -0.4980 (-0.4946) time: 0.3588 data: 0.0002 [11-22 21:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 6.869 (6.869) Lt: 6.209 (6.195) Accm: 2.42 (2.46) Acct: 3.72 (3.76) proj_loss: -0.4987 (-0.4992) time: 0.3588 data: 0.0003 [11-22 21:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.36 Lm: 6.975 (7.001) Lt: 6.354 (6.372) Accm: 2.08 (2.11) Acct: 3.01 (3.12) proj_loss: -0.5004 (-0.4990) time: 0.3588 data: 0.0003 [11-22 21:53:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.37 Lm: 6.974 (6.973) Lt: 6.327 (6.328) Accm: 2.15 (2.18) Acct: 3.19 (3.28) proj_loss: -0.5008 (-0.4995) time: 0.3634 data: 0.0002 [11-22 21:53:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.37 Lm: 7.013 (7.033) Lt: 6.372 (6.404) Accm: 2.07 (2.03) Acct: 3.33 (3.28) proj_loss: -0.4994 (-0.4969) time: 0.3634 data: 0.0002 [11-22 21:53:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.37 Lm: 6.986 (6.983) Lt: 6.355 (6.353) Accm: 2.12 (2.13) Acct: 3.33 (3.31) proj_loss: -0.4983 (-0.4960) time: 0.3634 data: 0.0003 [11-22 21:53:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.37 Lm: 6.875 (6.880) Lt: 6.217 (6.209) Accm: 2.45 (2.47) Acct: 3.86 (3.86) proj_loss: -0.5008 (-0.5001) time: 0.3634 data: 0.0003 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.869 (6.841) Lt: 6.209 (6.171) Accm: 2.49 (2.51) Acct: 3.99 (3.92) proj_loss: -0.4987 (-0.4991) time: 0.3630 data: 0.0020 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.036 (7.056) Lt: 6.401 (6.445) Accm: 2.03 (1.99) Acct: 3.31 (3.15) proj_loss: -0.5098 (-0.5019) time: 0.3630 data: 0.0018 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.975 (6.991) Lt: 6.354 (6.350) Accm: 2.18 (2.18) Acct: 3.36 (3.33) proj_loss: -0.5011 (-0.4999) time: 0.3630 data: 0.0016 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.025 (6.994) Lt: 6.408 (6.364) Accm: 2.06 (2.11) Acct: 3.06 (3.25) proj_loss: -0.4985 (-0.5010) time: 0.3630 data: 0.0020 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:21 (0.372 s / it) [11-22 21:56:13] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.959 (6.959), Lt: 6.309 (6.309), Acc m&t: 2.27 3.52, Remain: 2 days, 4:44:44, Finish: 2024-11-24 10:40 [11-22 21:56:13] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.959 (6.959), Lt: 6.309 (6.309), Acc m&t: 2.27 3.52, Remain: 2 days, 4:40:33, Finish: 2024-11-24 10:36 [11-22 21:56:13] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.959 (6.959), Lt: 6.309 (6.309), Acc m&t: 2.27 3.52, Remain: 2 days, 4:45:33, Finish: 2024-11-24 10:41 [11-22 21:56:13] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.959 (6.959), Lt: 6.309 (6.309), Acc m&t: 2.27 3.52, Remain: 2 days, 4:43:27, Finish: 2024-11-24 10:39 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:54 tlr: 0.00023 tnm: 0.38 Lm: 6.966 (6.966) Lt: 6.310 (6.310) Accm: 2.00 (2.00) Acct: 3.27 (3.27) proj_loss: -0.5035 (-0.5035) time: 0.3564 data: 0.0004 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:56 tlr: 0.00023 tnm: 0.38 Lm: 6.829 (6.829) Lt: 6.186 (6.186) Accm: 2.53 (2.53) Acct: 4.03 (4.03) proj_loss: -0.5117 (-0.5117) time: 0.3575 data: 0.0004 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:56 tlr: 0.00023 tnm: 0.38 Lm: 6.908 (6.908) Lt: 6.219 (6.219) Accm: 2.26 (2.26) Acct: 3.55 (3.55) proj_loss: -0.5181 (-0.5181) time: 0.3571 data: 0.0004 [11-22 21:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:56 tlr: 0.00023 tnm: 0.38 Lm: 6.942 (6.942) Lt: 6.273 (6.273) Accm: 2.21 (2.21) Acct: 3.46 (3.46) proj_loss: -0.4838 (-0.4838) time: 0.3575 data: 0.0004 [11-22 21:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.37 Lm: 6.944 (6.944) Lt: 6.295 (6.295) Accm: 2.19 (2.19) Acct: 3.32 (3.32) proj_loss: -0.4939 (-0.4939) time: 0.3633 data: 0.0002 [11-22 21:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.37 Lm: 6.940 (6.940) Lt: 6.268 (6.268) Accm: 2.18 (2.18) Acct: 3.29 (3.29) proj_loss: -0.5176 (-0.5176) time: 0.3633 data: 0.0002 [11-22 21:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.37 Lm: 6.987 (6.987) Lt: 6.320 (6.320) Accm: 2.04 (2.04) Acct: 3.21 (3.21) proj_loss: -0.5087 (-0.5087) time: 0.3633 data: 0.0003 [11-22 21:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.37 Lm: 6.819 (6.819) Lt: 6.177 (6.177) Accm: 2.55 (2.55) Acct: 4.01 (4.01) proj_loss: -0.5072 (-0.5072) time: 0.3633 data: 0.0003 [11-22 22:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.38 Lm: 6.829 (6.846) Lt: 6.186 (6.196) Accm: 2.53 (2.46) Acct: 3.99 (3.95) proj_loss: -0.5068 (-0.5071) time: 0.3634 data: 0.0003 [11-22 22:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.38 Lm: 6.966 (6.947) Lt: 6.310 (6.286) Accm: 2.09 (2.22) Acct: 3.27 (3.52) proj_loss: -0.5140 (-0.5158) time: 0.3634 data: 0.0003 [11-22 22:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.38 Lm: 6.972 (6.999) Lt: 6.317 (6.348) Accm: 2.11 (2.08) Acct: 3.03 (3.12) proj_loss: -0.5181 (-0.5183) time: 0.3634 data: 0.0003 [11-22 22:01:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.38 Lm: 6.947 (7.001) Lt: 6.316 (6.363) Accm: 2.16 (2.08) Acct: 3.19 (3.24) proj_loss: -0.4971 (-0.4950) time: 0.3634 data: 0.0003 [11-22 22:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.33 Lm: 6.944 (6.957) Lt: 6.295 (6.313) Accm: 2.19 (2.20) Acct: 3.32 (3.37) proj_loss: -0.5003 (-0.4971) time: 0.3616 data: 0.0003 [11-22 22:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.33 Lm: 6.970 (6.954) Lt: 6.298 (6.286) Accm: 2.10 (2.19) Acct: 3.40 (3.53) proj_loss: -0.5087 (-0.5073) time: 0.3616 data: 0.0003 [11-22 22:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.33 Lm: 6.866 (6.878) Lt: 6.211 (6.217) Accm: 2.40 (2.40) Acct: 3.92 (3.81) proj_loss: -0.5048 (-0.5036) time: 0.3616 data: 0.0002 [11-22 22:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.33 Lm: 6.940 (6.941) Lt: 6.268 (6.302) Accm: 2.18 (2.25) Acct: 3.29 (3.42) proj_loss: -0.5176 (-0.5135) time: 0.3616 data: 0.0002 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.921 (6.937) Lt: 6.284 (6.298) Accm: 2.26 (2.31) Acct: 3.55 (3.46) proj_loss: -0.5172 (-0.5139) time: 0.3657 data: 0.0019 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:10:05 (0.363 s / it) [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.974 (6.984) Lt: 6.310 (6.323) Accm: 2.09 (2.16) Acct: 3.31 (3.48) proj_loss: -0.5035 (-0.5031) time: 0.3658 data: 0.0016 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.896 (6.882) Lt: 6.236 (6.230) Accm: 2.39 (2.40) Acct: 3.84 (3.75) proj_loss: -0.5028 (-0.5028) time: 0.3657 data: 0.0020 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.942 (6.940) Lt: 6.273 (6.287) Accm: 2.21 (2.29) Acct: 3.46 (3.51) proj_loss: -0.4971 (-0.4956) time: 0.3658 data: 0.0020 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:10:05 (0.363 s / it) [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:10:05 (0.363 s / it) [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:10:05 (0.363 s / it) [11-22 22:06:19] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.939 (6.939), Lt: 6.280 (6.280), Acc m&t: 2.33 3.62, Remain: 2 days, 4:46:15, Finish: 2024-11-24 10:52 [11-22 22:06:19] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.939 (6.939), Lt: 6.280 (6.280), Acc m&t: 2.33 3.62, Remain: 2 days, 4:46:52, Finish: 2024-11-24 10:53 [11-22 22:06:19] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.939 (6.939), Lt: 6.280 (6.280), Acc m&t: 2.33 3.62, Remain: 2 days, 4:47:45, Finish: 2024-11-24 10:54 [11-22 22:06:19] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.939 (6.939), Lt: 6.280 (6.280), Acc m&t: 2.33 3.62, Remain: 2 days, 4:46:27, Finish: 2024-11-24 10:52 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:40 tlr: 0.00023 tnm: 0.34 Lm: 7.010 (7.010) Lt: 6.382 (6.382) Accm: 2.13 (2.13) Acct: 3.19 (3.19) proj_loss: -0.5012 (-0.5012) time: 0.3477 data: 0.0003 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:41 tlr: 0.00023 tnm: 0.34 Lm: 6.912 (6.912) Lt: 6.268 (6.268) Accm: 2.32 (2.32) Acct: 3.56 (3.56) proj_loss: -0.4852 (-0.4852) time: 0.3483 data: 0.0004 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:41 tlr: 0.00023 tnm: 0.34 Lm: 6.901 (6.901) Lt: 6.231 (6.231) Accm: 2.45 (2.45) Acct: 3.68 (3.68) proj_loss: -0.4925 (-0.4925) time: 0.3484 data: 0.0003 [11-22 22:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:42 tlr: 0.00023 tnm: 0.34 Lm: 6.963 (6.963) Lt: 6.281 (6.281) Accm: 2.35 (2.35) Acct: 3.87 (3.87) proj_loss: -0.4986 (-0.4986) time: 0.3488 data: 0.0003 [11-22 22:08:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.33 Lm: 6.923 (6.923) Lt: 6.245 (6.245) Accm: 2.49 (2.49) Acct: 3.98 (3.98) proj_loss: -0.4961 (-0.4961) time: 0.3590 data: 0.0003 [11-22 22:08:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.33 Lm: 6.897 (6.897) Lt: 6.261 (6.261) Accm: 2.34 (2.34) Acct: 3.37 (3.37) proj_loss: -0.4998 (-0.4998) time: 0.3590 data: 0.0003 [11-22 22:08:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.33 Lm: 6.886 (6.886) Lt: 6.208 (6.208) Accm: 2.50 (2.50) Acct: 3.96 (3.96) proj_loss: -0.4990 (-0.4990) time: 0.3590 data: 0.0002 [11-22 22:08:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.33 Lm: 6.941 (6.941) Lt: 6.278 (6.278) Accm: 2.31 (2.31) Acct: 3.62 (3.62) proj_loss: -0.4995 (-0.4995) time: 0.3590 data: 0.0003 [11-22 22:11:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 6.901 (6.901) Lt: 6.231 (6.229) Accm: 2.45 (2.46) Acct: 3.68 (3.86) proj_loss: -0.4999 (-0.4996) time: 0.3624 data: 0.0003 [11-22 22:11:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 6.881 (6.866) Lt: 6.254 (6.197) Accm: 2.35 (2.43) Acct: 3.56 (3.70) proj_loss: -0.4986 (-0.4994) time: 0.3624 data: 0.0003 [11-22 22:11:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 7.010 (6.953) Lt: 6.382 (6.314) Accm: 2.13 (2.33) Acct: 3.19 (3.63) proj_loss: -0.5012 (-0.5037) time: 0.3624 data: 0.0003 [11-22 22:11:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 6.963 (6.979) Lt: 6.281 (6.336) Accm: 2.35 (2.31) Acct: 3.87 (3.71) proj_loss: -0.4986 (-0.5063) time: 0.3624 data: 0.0003 [11-22 22:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 6.964 (6.975) Lt: 6.280 (6.322) Accm: 2.32 (2.31) Acct: 3.82 (3.72) proj_loss: -0.5034 (-0.5068) time: 0.3608 data: 0.0003 [11-22 22:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 6.928 (6.926) Lt: 6.282 (6.281) Accm: 2.29 (2.36) Acct: 3.54 (3.70) proj_loss: -0.5024 (-0.5037) time: 0.3608 data: 0.0002 [11-22 22:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 6.897 (6.894) Lt: 6.261 (6.231) Accm: 2.34 (2.31) Acct: 3.37 (3.54) proj_loss: -0.5065 (-0.5069) time: 0.3608 data: 0.0003 [11-22 22:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.34 Lm: 6.941 (6.933) Lt: 6.278 (6.288) Accm: 2.31 (2.33) Acct: 3.62 (3.65) proj_loss: -0.5032 (-0.5044) time: 0.3608 data: 0.0003 [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.968 (6.940) Lt: 6.325 (6.300) Accm: 2.21 (2.30) Acct: 3.56 (3.62) proj_loss: -0.5065 (-0.5057) time: 0.3626 data: 0.0018 [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:03 (0.362 s / it) [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.964 (6.982) Lt: 6.281 (6.329) Accm: 2.28 (2.26) Acct: 3.77 (3.68) proj_loss: -0.5081 (-0.5081) time: 0.3626 data: 0.0016 [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.915 (6.924) Lt: 6.268 (6.279) Accm: 2.19 (2.33) Acct: 3.53 (3.66) proj_loss: -0.5036 (-0.5068) time: 0.3626 data: 0.0015 [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.912 (6.905) Lt: 6.268 (6.249) Accm: 2.32 (2.31) Acct: 3.32 (3.50) proj_loss: -0.5139 (-0.5083) time: 0.3626 data: 0.0016 [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:03 (0.362 s / it) [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:03 (0.362 s / it) [11-22 22:16:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:03 (0.362 s / it) [11-22 22:18:28] (home/user/VAR/trainer.py, line 114)=> FID: 6.785101249883439 [11-22 22:18:28] (/home/user/VAR/train.py , line 259)=> [*] [ep39] (val 50000) Lm: 6.9413, Lt: 6.2846, Acc m&t: 2.29 3.58, Val cost: 124.87s [11-22 22:18:28] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-22 22:18:47] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.939 (6.941), Lt: 6.280 (6.285), Acc m&t: 2.33 3.62, Remain: 2 days, 4:17:45, Finish: 2024-11-24 10:34 [11-22 22:18:47] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.939 (6.941), Lt: 6.280 (6.285), Acc m&t: 2.33 3.62, Remain: 2 days, 4:18:07, Finish: 2024-11-24 10:34 [11-22 22:18:47] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.939 (6.941), Lt: 6.280 (6.285), Acc m&t: 2.33 3.62, Remain: 2 days, 4:18:21, Finish: 2024-11-24 10:34 [11-22 22:18:47] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.939 (6.941), Lt: 6.280 (6.285), Acc m&t: 2.33 3.62, Remain: 2 days, 4:19:17, Finish: 2024-11-24 10:35 [11-22 22:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:09:53 tlr: 0.00023 tnm: 0.37 Lm: 6.902 (6.902) Lt: 6.246 (6.246) Accm: 2.34 (2.34) Acct: 3.60 (3.60) proj_loss: -0.4948 (-0.4948) time: 0.3556 data: 0.0003 [11-22 22:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:09:53 tlr: 0.00023 tnm: 0.37 Lm: 6.934 (6.934) Lt: 6.275 (6.275) Accm: 1.98 (1.98) Acct: 3.10 (3.10) proj_loss: -0.4916 (-0.4916) time: 0.3553 data: 0.0003 [11-22 22:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:09:57 tlr: 0.00023 tnm: 0.37 Lm: 7.049 (7.049) Lt: 6.439 (6.439) Accm: 2.12 (2.12) Acct: 3.31 (3.31) proj_loss: -0.5083 (-0.5083) time: 0.3583 data: 0.0003 [11-22 22:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:10:00 tlr: 0.00023 tnm: 0.37 Lm: 6.992 (6.992) Lt: 6.351 (6.351) Accm: 2.17 (2.17) Acct: 3.41 (3.41) proj_loss: -0.5129 (-0.5129) time: 0.3596 data: 0.0004 [11-22 22:21:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.909 (6.909) Lt: 6.236 (6.236) Accm: 2.37 (2.37) Acct: 3.68 (3.68) proj_loss: -0.5097 (-0.5097) time: 0.3612 data: 0.0003 [11-22 22:21:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.898 (6.898) Lt: 6.254 (6.254) Accm: 2.40 (2.40) Acct: 3.69 (3.69) proj_loss: -0.5108 (-0.5108) time: 0.3612 data: 0.0003 [11-22 22:21:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.902 (6.902) Lt: 6.262 (6.262) Accm: 2.23 (2.23) Acct: 3.42 (3.42) proj_loss: -0.4957 (-0.4957) time: 0.3612 data: 0.0002 [11-22 22:21:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.923 (6.923) Lt: 6.245 (6.245) Accm: 2.29 (2.29) Acct: 3.77 (3.77) proj_loss: -0.5022 (-0.5022) time: 0.3612 data: 0.0003 [11-22 22:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.34 Lm: 6.975 (6.941) Lt: 6.310 (6.267) Accm: 2.12 (2.22) Acct: 3.37 (3.64) proj_loss: -0.5024 (-0.5022) time: 0.3626 data: 0.0003 [11-22 22:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.34 Lm: 6.992 (6.946) Lt: 6.351 (6.288) Accm: 2.27 (2.34) Acct: 3.56 (3.64) proj_loss: -0.5066 (-0.5078) time: 0.3626 data: 0.0003 [11-22 22:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.34 Lm: 6.870 (6.875) Lt: 6.249 (6.235) Accm: 2.46 (2.31) Acct: 3.68 (3.51) proj_loss: -0.4999 (-0.4971) time: 0.3626 data: 0.0002 [11-22 22:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:03 tlr: 0.00023 tnm: 0.34 Lm: 6.893 (6.883) Lt: 6.246 (6.219) Accm: 2.42 (2.41) Acct: 3.79 (3.73) proj_loss: -0.5248 (-0.5155) time: 0.3626 data: 0.0002 [11-22 22:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.39 Lm: 6.898 (6.922) Lt: 6.254 (6.265) Accm: 2.38 (2.29) Acct: 3.69 (3.53) proj_loss: -0.5175 (-0.5141) time: 0.3633 data: 0.0003 [11-22 22:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.39 Lm: 6.975 (6.949) Lt: 6.310 (6.277) Accm: 2.10 (2.18) Acct: 3.38 (3.58) proj_loss: -0.5054 (-0.5052) time: 0.3633 data: 0.0003 [11-22 22:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.39 Lm: 6.902 (6.935) Lt: 6.262 (6.304) Accm: 2.22 (2.22) Acct: 3.39 (3.38) proj_loss: -0.4999 (-0.5004) time: 0.3633 data: 0.0003 [11-22 22:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.39 Lm: 6.993 (6.958) Lt: 6.362 (6.309) Accm: 2.22 (2.27) Acct: 3.49 (3.47) proj_loss: -0.5097 (-0.5103) time: 0.3633 data: 0.0003 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.994 (6.969) Lt: 6.371 (6.322) Accm: 2.18 (2.25) Acct: 3.41 (3.45) proj_loss: -0.5066 (-0.5051) time: 0.3627 data: 0.0016 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:21 (0.373 s / it) [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.934 (6.942) Lt: 6.275 (6.302) Accm: 2.46 (2.27) Acct: 3.68 (3.50) proj_loss: -0.4999 (-0.5038) time: 0.3627 data: 0.0019 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.902 (6.925) Lt: 6.262 (6.277) Accm: 2.34 (2.26) Acct: 3.60 (3.45) proj_loss: -0.5102 (-0.5125) time: 0.3627 data: 0.0019 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.974 (6.943) Lt: 6.310 (6.281) Accm: 2.12 (2.18) Acct: 3.37 (3.52) proj_loss: -0.5083 (-0.5071) time: 0.3627 data: 0.0019 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:21 (0.373 s / it) [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:21 (0.373 s / it) [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:21 (0.373 s / it) [11-22 22:29:09] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.939 (6.958), Lt: 6.280 (6.301), Acc m&t: 2.33 3.62, Remain: 2 days, 4:18:41, Finish: 2024-11-24 10:47 [11-22 22:29:09] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.939 (6.958), Lt: 6.280 (6.301), Acc m&t: 2.33 3.62, Remain: 2 days, 4:18:12, Finish: 2024-11-24 10:47 [11-22 22:29:09] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.939 (6.958), Lt: 6.280 (6.301), Acc m&t: 2.33 3.62, Remain: 2 days, 4:18:45, Finish: 2024-11-24 10:47 [11-22 22:29:09] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.939 (6.958), Lt: 6.280 (6.301), Acc m&t: 2.33 3.62, Remain: 2 days, 4:18:34, Finish: 2024-11-24 10:47 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:10:31 tlr: 0.00023 tnm: 0.39 Lm: 7.027 (7.027) Lt: 6.392 (6.392) Accm: 1.91 (1.91) Acct: 2.82 (2.82) proj_loss: -0.4973 (-0.4973) time: 0.3782 data: 0.0004 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:10:33 tlr: 0.00023 tnm: 0.39 Lm: 6.994 (6.994) Lt: 6.352 (6.352) Accm: 2.16 (2.16) Acct: 3.10 (3.10) proj_loss: -0.5079 (-0.5079) time: 0.3793 data: 0.0004 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:11:14 tlr: 0.00023 tnm: 0.39 Lm: 6.993 (6.993) Lt: 6.312 (6.312) Accm: 2.22 (2.22) Acct: 3.53 (3.53) proj_loss: -0.4892 (-0.4892) time: 0.4044 data: 0.0003 [11-22 22:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:10:32 tlr: 0.00023 tnm: 0.39 Lm: 6.947 (6.947) Lt: 6.298 (6.298) Accm: 2.27 (2.27) Acct: 3.51 (3.51) proj_loss: -0.5002 (-0.5002) time: 0.3788 data: 0.0004 [11-22 22:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 7.032 (7.032) Lt: 6.402 (6.402) Accm: 2.08 (2.08) Acct: 3.09 (3.09) proj_loss: -0.4937 (-0.4937) time: 0.3608 data: 0.0003 [11-22 22:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.988 (6.988) Lt: 6.310 (6.310) Accm: 2.25 (2.25) Acct: 3.60 (3.60) proj_loss: -0.5020 (-0.5020) time: 0.3608 data: 0.0002 [11-22 22:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 7.006 (7.006) Lt: 6.362 (6.362) Accm: 2.05 (2.05) Acct: 2.99 (2.99) proj_loss: -0.5048 (-0.5048) time: 0.3608 data: 0.0003 [11-22 22:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 7.001 (7.001) Lt: 6.370 (6.370) Accm: 2.19 (2.19) Acct: 3.22 (3.22) proj_loss: -0.5044 (-0.5044) time: 0.3608 data: 0.0003 [11-22 22:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.31 Lm: 6.994 (6.920) Lt: 6.352 (6.293) Accm: 2.21 (2.38) Acct: 3.34 (3.48) proj_loss: -0.5079 (-0.5111) time: 0.3627 data: 0.0003 [11-22 22:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.31 Lm: 6.985 (6.979) Lt: 6.332 (6.340) Accm: 2.20 (2.15) Acct: 3.15 (3.20) proj_loss: -0.5058 (-0.5051) time: 0.3627 data: 0.0003 [11-22 22:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.31 Lm: 6.983 (6.935) Lt: 6.309 (6.255) Accm: 2.27 (2.33) Acct: 3.67 (3.76) proj_loss: -0.5055 (-0.5032) time: 0.3627 data: 0.0003 [11-22 22:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.31 Lm: 7.056 (7.040) Lt: 6.434 (6.413) Accm: 1.89 (2.01) Acct: 2.91 (3.03) proj_loss: -0.5002 (-0.5009) time: 0.3627 data: 0.0003 [11-22 22:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 7.002 (7.002) Lt: 6.366 (6.360) Accm: 2.06 (2.07) Acct: 3.21 (3.18) proj_loss: -0.5003 (-0.5008) time: 0.3633 data: 0.0003 [11-22 22:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 7.001 (6.966) Lt: 6.370 (6.337) Accm: 2.19 (2.32) Acct: 3.32 (3.43) proj_loss: -0.5161 (-0.5147) time: 0.3633 data: 0.0003 [11-22 22:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 6.988 (6.951) Lt: 6.310 (6.279) Accm: 2.25 (2.27) Acct: 3.60 (3.67) proj_loss: -0.5061 (-0.5040) time: 0.3633 data: 0.0002 [11-22 22:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.35 Lm: 7.006 (6.998) Lt: 6.362 (6.366) Accm: 2.08 (2.10) Acct: 3.00 (3.11) proj_loss: -0.5085 (-0.5066) time: 0.3633 data: 0.0003 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 7.027 (7.012) Lt: 6.392 (6.385) Accm: 2.02 (2.08) Acct: 2.98 (3.09) proj_loss: -0.5112 (-0.5079) time: 0.3649 data: 0.0019 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.994 (6.941) Lt: 6.352 (6.311) Accm: 2.21 (2.35) Acct: 3.34 (3.51) proj_loss: -0.5205 (-0.5159) time: 0.3649 data: 0.0017 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.947 (6.988) Lt: 6.327 (6.353) Accm: 2.22 (2.10) Acct: 3.13 (3.17) proj_loss: -0.5004 (-0.5044) time: 0.3649 data: 0.0019 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.983 (6.870) Lt: 6.309 (6.200) Accm: 2.27 (2.45) Acct: 3.67 (3.88) proj_loss: -0.5066 (-0.5084) time: 0.3649 data: 0.0015 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:39:13] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.939 (6.956), Lt: 6.280 (6.302), Acc m&t: 2.33 3.62, Remain: 2 days, 4:20:26, Finish: 2024-11-24 10:59 [11-22 22:39:13] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.939 (6.956), Lt: 6.280 (6.302), Acc m&t: 2.33 3.62, Remain: 2 days, 4:20:39, Finish: 2024-11-24 10:59 [11-22 22:39:13] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.939 (6.956), Lt: 6.280 (6.302), Acc m&t: 2.33 3.62, Remain: 2 days, 4:21:53, Finish: 2024-11-24 11:01 [11-22 22:39:13] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.939 (6.956), Lt: 6.280 (6.302), Acc m&t: 2.33 3.62, Remain: 2 days, 4:20:51, Finish: 2024-11-24 11:00 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:50 tlr: 0.00023 tnm: 0.36 Lm: 7.090 (7.090) Lt: 6.465 (6.465) Accm: 1.98 (1.98) Acct: 3.20 (3.20) proj_loss: -0.5094 (-0.5094) time: 0.3539 data: 0.0004 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:51 tlr: 0.00023 tnm: 0.36 Lm: 6.723 (6.723) Lt: 6.062 (6.062) Accm: 2.53 (2.53) Acct: 4.05 (4.05) proj_loss: -0.5112 (-0.5112) time: 0.3546 data: 0.0004 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:50 tlr: 0.00023 tnm: 0.36 Lm: 6.895 (6.895) Lt: 6.202 (6.202) Accm: 2.43 (2.43) Acct: 3.82 (3.82) proj_loss: -0.5025 (-0.5025) time: 0.3539 data: 0.0004 [11-22 22:39:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:51 tlr: 0.00023 tnm: 0.36 Lm: 7.101 (7.101) Lt: 6.539 (6.539) Accm: 2.21 (2.21) Acct: 3.55 (3.55) proj_loss: -0.4989 (-0.4989) time: 0.3546 data: 0.0004 [11-22 22:41:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 6.833 (6.833) Lt: 6.161 (6.161) Accm: 2.33 (2.33) Acct: 3.68 (3.68) proj_loss: -0.4937 (-0.4937) time: 0.3629 data: 0.0003 [11-22 22:41:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 6.866 (6.866) Lt: 6.178 (6.178) Accm: 2.46 (2.46) Acct: 3.84 (3.84) proj_loss: -0.4984 (-0.4984) time: 0.3629 data: 0.0003 [11-22 22:41:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 7.018 (7.018) Lt: 6.363 (6.363) Accm: 2.00 (2.00) Acct: 3.28 (3.28) proj_loss: -0.5115 (-0.5115) time: 0.3629 data: 0.0002 [11-22 22:41:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.37 Lm: 7.059 (7.059) Lt: 6.435 (6.435) Accm: 2.31 (2.31) Acct: 3.81 (3.81) proj_loss: -0.4983 (-0.4983) time: 0.3630 data: 0.0003 [11-22 22:44:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.35 Lm: 7.017 (6.974) Lt: 6.331 (6.338) Accm: 2.40 (2.38) Acct: 3.94 (3.85) proj_loss: -0.4989 (-0.5010) time: 0.3636 data: 0.0003 [11-22 22:44:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.35 Lm: 7.048 (7.028) Lt: 6.432 (6.386) Accm: 2.02 (2.02) Acct: 3.36 (3.32) proj_loss: -0.5094 (-0.5082) time: 0.3636 data: 0.0002 [11-22 22:44:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.35 Lm: 6.942 (6.871) Lt: 6.260 (6.200) Accm: 2.23 (2.30) Acct: 3.51 (3.62) proj_loss: -0.5112 (-0.5034) time: 0.3636 data: 0.0003 [11-22 22:44:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.35 Lm: 6.892 (6.875) Lt: 6.202 (6.222) Accm: 2.43 (2.45) Acct: 3.82 (3.76) proj_loss: -0.5025 (-0.5101) time: 0.3636 data: 0.0003 [11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.32 Lm: 6.918 (6.877) Lt: 6.230 (6.200) Accm: 2.26 (2.30) Acct: 3.69 (3.68) proj_loss: -0.5053 (-0.5024) time: 0.3593 data: 0.0003 [11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.32 Lm: 6.882 (6.874) Lt: 6.206 (6.219) Accm: 2.43 (2.43) Acct: 3.83 (3.78) proj_loss: -0.5099 (-0.5119) time: 0.3593 data: 0.0003 [11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.32 Lm: 6.997 (7.003) Lt: 6.351 (6.357) Accm: 2.03 (2.10) Acct: 3.38 (3.42) proj_loss: -0.5087 (-0.5081) time: 0.3592 data: 0.0003 [11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:31 tlr: 0.00023 tnm: 0.32 Lm: 6.931 (6.942) Lt: 6.245 (6.293) Accm: 2.37 (2.37) Acct: 3.74 (3.73) proj_loss: -0.5027 (-0.5054) time: 0.3592 data: 0.0002 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.844 (6.902) Lt: 6.159 (6.242) Accm: 2.40 (2.44) Acct: 3.94 (3.83) proj_loss: -0.4992 (-0.5042) time: 0.3659 data: 0.0020 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.946 (6.983) Lt: 6.269 (6.324) Accm: 2.05 (2.12) Acct: 3.41 (3.46) proj_loss: -0.5079 (-0.5062) time: 0.3659 data: 0.0015 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.939 (6.889) Lt: 6.260 (6.218) Accm: 2.24 (2.29) Acct: 3.56 (3.66) proj_loss: -0.5035 (-0.5026) time: 0.3659 data: 0.0016 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.892 (6.908) Lt: 6.210 (6.262) Accm: 2.43 (2.36) Acct: 3.82 (3.64) proj_loss: -0.5120 (-0.5119) time: 0.3659 data: 0.0018 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:04 (0.362 s / it) [11-22 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.939 (6.948), Lt: 6.280 (6.287), Acc m&t: 2.33 3.62, Remain: 2 days, 4:13:05, Finish: 2024-11-24 11:02 [11-22 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.939 (6.948), Lt: 6.280 (6.287), Acc m&t: 2.33 3.62, Remain: 2 days, 4:12:42, Finish: 2024-11-24 11:01 [11-22 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.939 (6.948), Lt: 6.280 (6.287), Acc m&t: 2.33 3.62, Remain: 2 days, 4:14:22, Finish: 2024-11-24 11:03 [11-22 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.939 (6.948), Lt: 6.280 (6.287), Acc m&t: 2.33 3.62, Remain: 2 days, 4:12:04, Finish: 2024-11-24 11:01 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:09:33 tlr: 0.00023 tnm: 0.36 Lm: 7.043 (7.043) Lt: 6.414 (6.414) Accm: 2.24 (2.24) Acct: 3.31 (3.31) proj_loss: -0.5068 (-0.5068) time: 0.3438 data: 0.0003 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:09:34 tlr: 0.00023 tnm: 0.36 Lm: 7.052 (7.052) Lt: 6.438 (6.438) Accm: 1.97 (1.97) Acct: 3.00 (3.00) proj_loss: -0.5043 (-0.5043) time: 0.3442 data: 0.0003 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:09:29 tlr: 0.00023 tnm: 0.36 Lm: 6.908 (6.908) Lt: 6.205 (6.205) Accm: 2.59 (2.59) Acct: 3.96 (3.96) proj_loss: -0.5033 (-0.5033) time: 0.3414 data: 0.0004 [11-22 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:09:35 tlr: 0.00023 tnm: 0.36 Lm: 7.099 (7.099) Lt: 6.467 (6.467) Accm: 2.05 (2.05) Acct: 3.29 (3.29) proj_loss: -0.4988 (-0.4988) time: 0.3447 data: 0.0004 [11-22 22:51:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.36 Lm: 7.022 (7.022) Lt: 6.367 (6.367) Accm: 2.09 (2.09) Acct: 3.31 (3.31) proj_loss: -0.4930 (-0.4930) time: 0.3650 data: 0.0003 [11-22 22:51:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.36 Lm: 6.977 (6.977) Lt: 6.351 (6.351) Accm: 2.21 (2.21) Acct: 3.32 (3.32) proj_loss: -0.5050 (-0.5050) time: 0.3650 data: 0.0003 [11-22 22:51:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.36 Lm: 6.879 (6.879) Lt: 6.172 (6.172) Accm: 2.59 (2.59) Acct: 4.01 (4.01) proj_loss: -0.4952 (-0.4952) time: 0.3650 data: 0.0002 [11-22 22:51:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:34 tlr: 0.00023 tnm: 0.36 Lm: 6.996 (6.996) Lt: 6.337 (6.337) Accm: 2.08 (2.08) Acct: 3.16 (3.16) proj_loss: -0.5040 (-0.5040) time: 0.3650 data: 0.0002 [11-22 22:54:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:07 tlr: 0.00023 tnm: 0.34 Lm: 7.017 (7.003) Lt: 6.390 (6.355) Accm: 2.18 (2.11) Acct: 3.27 (3.20) proj_loss: -0.5043 (-0.5103) time: 0.4057 data: 0.0003 [11-22 22:54:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:07 tlr: 0.00023 tnm: 0.34 Lm: 6.908 (6.944) Lt: 6.205 (6.258) Accm: 2.59 (2.37) Acct: 3.96 (3.71) proj_loss: -0.5033 (-0.5012) time: 0.4057 data: 0.0002 [11-22 22:54:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:07 tlr: 0.00023 tnm: 0.34 Lm: 6.911 (6.938) Lt: 6.288 (6.292) Accm: 2.24 (2.28) Acct: 3.34 (3.47) proj_loss: -0.5068 (-0.5091) time: 0.4057 data: 0.0002 [11-22 22:54:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:07 tlr: 0.00023 tnm: 0.34 Lm: 6.946 (6.982) Lt: 6.290 (6.341) Accm: 2.13 (2.13) Acct: 3.32 (3.38) proj_loss: -0.4988 (-0.5026) time: 0.4057 data: 0.0003 [11-22 22:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.34 Lm: 6.927 (6.964) Lt: 6.287 (6.327) Accm: 2.17 (2.17) Acct: 3.34 (3.37) proj_loss: -0.4963 (-0.5004) time: 0.3605 data: 0.0003 [11-22 22:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.34 Lm: 7.034 (7.022) Lt: 6.414 (6.380) Accm: 2.13 (2.11) Acct: 3.25 (3.20) proj_loss: -0.5088 (-0.5111) time: 0.3605 data: 0.0003 [11-22 22:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.34 Lm: 6.885 (6.914) Lt: 6.231 (6.258) Accm: 2.33 (2.34) Acct: 3.56 (3.57) proj_loss: -0.5117 (-0.5110) time: 0.3605 data: 0.0003 [11-22 22:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:37 tlr: 0.00023 tnm: 0.34 Lm: 6.953 (6.958) Lt: 6.283 (6.284) Accm: 2.39 (2.33) Acct: 3.55 (3.56) proj_loss: -0.5063 (-0.5032) time: 0.3605 data: 0.0003 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 6.908 (6.908) Lt: 6.205 (6.225) Accm: 2.59 (2.41) Acct: 3.96 (3.70) proj_loss: -0.5093 (-0.5055) time: 0.3624 data: 0.0020 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:24 (0.374 s / it) [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 6.891 (6.909) Lt: 6.228 (6.252) Accm: 2.26 (2.33) Acct: 3.53 (3.56) proj_loss: -0.5166 (-0.5179) time: 0.3625 data: 0.0014 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 6.946 (6.966) Lt: 6.290 (6.324) Accm: 2.20 (2.18) Acct: 3.36 (3.40) proj_loss: -0.4988 (-0.5001) time: 0.3625 data: 0.0020 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 7.017 (6.974) Lt: 6.390 (6.324) Accm: 2.18 (2.30) Acct: 3.27 (3.46) proj_loss: -0.5043 (-0.5070) time: 0.3624 data: 0.0015 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:24 (0.374 s / it) [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:24 (0.374 s / it) [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:24 (0.374 s / it) [11-22 22:59:42] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.937 (6.937), Lt: 6.277 (6.277), Acc m&t: 2.33 3.62, Remain: 2 days, 3:32:24, Finish: 2024-11-24 10:32 [11-22 22:59:42] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.937 (6.937), Lt: 6.277 (6.277), Acc m&t: 2.33 3.62, Remain: 2 days, 3:32:46, Finish: 2024-11-24 10:32 [11-22 22:59:42] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.937 (6.937), Lt: 6.277 (6.277), Acc m&t: 2.33 3.62, Remain: 2 days, 3:33:15, Finish: 2024-11-24 10:32 [11-22 22:59:42] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.937 (6.937), Lt: 6.277 (6.277), Acc m&t: 2.33 3.62, Remain: 2 days, 3:31:00, Finish: 2024-11-24 10:30 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:41 tlr: 0.00023 tnm: 0.36 Lm: 6.843 (6.843) Lt: 6.186 (6.186) Accm: 2.48 (2.48) Acct: 3.74 (3.74) proj_loss: -0.5195 (-0.5195) time: 0.3487 data: 0.0004 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:44 tlr: 0.00023 tnm: 0.36 Lm: 7.009 (7.009) Lt: 6.377 (6.377) Accm: 2.25 (2.25) Acct: 3.29 (3.29) proj_loss: -0.5156 (-0.5156) time: 0.3500 data: 0.0003 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:43 tlr: 0.00023 tnm: 0.36 Lm: 6.668 (6.668) Lt: 5.952 (5.952) Accm: 3.07 (3.07) Acct: 4.82 (4.82) proj_loss: -0.5105 (-0.5105) time: 0.3496 data: 0.0003 [11-22 22:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:43 tlr: 0.00023 tnm: 0.36 Lm: 6.867 (6.867) Lt: 6.292 (6.292) Accm: 2.13 (2.13) Acct: 3.32 (3.32) proj_loss: -0.5109 (-0.5109) time: 0.3494 data: 0.0003 [11-22 23:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.950 (6.950) Lt: 6.361 (6.361) Accm: 2.13 (2.13) Acct: 3.33 (3.33) proj_loss: -0.5144 (-0.5144) time: 0.3612 data: 0.0002 [11-22 23:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 7.061 (7.061) Lt: 6.453 (6.453) Accm: 2.21 (2.21) Acct: 3.21 (3.21) proj_loss: -0.5163 (-0.5163) time: 0.3612 data: 0.0003 [11-22 23:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.838 (6.838) Lt: 6.135 (6.135) Accm: 2.60 (2.60) Acct: 4.10 (4.10) proj_loss: -0.5045 (-0.5045) time: 0.3612 data: 0.0002 [11-22 23:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:33 tlr: 0.00023 tnm: 0.35 Lm: 6.766 (6.766) Lt: 6.085 (6.085) Accm: 2.85 (2.85) Acct: 4.34 (4.34) proj_loss: -0.5122 (-0.5122) time: 0.3611 data: 0.0002 [11-22 23:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 7.009 (7.027) Lt: 6.377 (6.391) Accm: 2.24 (2.22) Acct: 3.29 (3.25) proj_loss: -0.5156 (-0.5081) time: 0.3614 data: 0.0003 [11-22 23:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 6.867 (6.904) Lt: 6.292 (6.288) Accm: 2.13 (2.21) Acct: 3.34 (3.44) proj_loss: -0.5142 (-0.5143) time: 0.3615 data: 0.0002 [11-22 23:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 6.865 (6.828) Lt: 6.217 (6.162) Accm: 2.63 (2.64) Acct: 3.86 (4.02) proj_loss: -0.5140 (-0.5140) time: 0.3615 data: 0.0002 [11-22 23:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:02 tlr: 0.00023 tnm: 0.37 Lm: 6.843 (6.876) Lt: 6.186 (6.184) Accm: 2.48 (2.54) Acct: 3.99 (4.06) proj_loss: -0.5195 (-0.5115) time: 0.3615 data: 0.0003 [11-22 23:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.35 Lm: 6.893 (6.893) Lt: 6.235 (6.211) Accm: 2.45 (2.48) Acct: 3.87 (3.96) proj_loss: -0.5116 (-0.5096) time: 0.3624 data: 0.0003 [11-22 23:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.35 Lm: 6.984 (6.989) Lt: 6.322 (6.341) Accm: 2.24 (2.26) Acct: 3.31 (3.38) proj_loss: -0.5079 (-0.5061) time: 0.3624 data: 0.0003 [11-22 23:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.35 Lm: 6.874 (6.898) Lt: 6.226 (6.256) Accm: 2.25 (2.26) Acct: 3.50 (3.54) proj_loss: -0.5131 (-0.5138) time: 0.3624 data: 0.0003 [11-22 23:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.35 Lm: 6.908 (6.878) Lt: 6.267 (6.212) Accm: 2.43 (2.51) Acct: 3.72 (3.91) proj_loss: -0.5158 (-0.5172) time: 0.3624 data: 0.0003 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.952 (6.895) Lt: 6.316 (6.234) Accm: 2.23 (2.43) Acct: 3.58 (3.77) proj_loss: -0.5175 (-0.5173) time: 0.3664 data: 0.0021 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.843 (6.881) Lt: 6.186 (6.194) Accm: 2.48 (2.56) Acct: 3.99 (4.10) proj_loss: -0.5195 (-0.5133) time: 0.3664 data: 0.0019 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.880 (6.902) Lt: 6.272 (6.259) Accm: 2.29 (2.27) Acct: 3.58 (3.55) proj_loss: -0.5121 (-0.5107) time: 0.3664 data: 0.0026 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.959 (6.946) Lt: 6.267 (6.297) Accm: 2.25 (2.34) Acct: 3.34 (3.55) proj_loss: -0.5156 (-0.5118) time: 0.3664 data: 0.0017 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:09:47] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.937 (6.939), Lt: 6.277 (6.281), Acc m&t: 2.33 3.62, Remain: 2 days, 4:09:58, Finish: 2024-11-24 11:19 [11-22 23:09:47] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.937 (6.939), Lt: 6.277 (6.281), Acc m&t: 2.33 3.62, Remain: 2 days, 4:04:15, Finish: 2024-11-24 11:14 [11-22 23:09:47] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.937 (6.939), Lt: 6.277 (6.281), Acc m&t: 2.33 3.62, Remain: 2 days, 4:10:33, Finish: 2024-11-24 11:20 [11-22 23:09:47] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.937 (6.939), Lt: 6.277 (6.281), Acc m&t: 2.33 3.62, Remain: 2 days, 4:06:10, Finish: 2024-11-24 11:15 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:09:34 tlr: 0.00022 tnm: 0.32 Lm: 6.986 (6.986) Lt: 6.356 (6.356) Accm: 2.22 (2.22) Acct: 3.58 (3.58) proj_loss: -0.5150 (-0.5150) time: 0.3441 data: 0.0003 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:10:22 tlr: 0.00022 tnm: 0.32 Lm: 6.902 (6.902) Lt: 6.222 (6.222) Accm: 2.47 (2.47) Acct: 4.03 (4.03) proj_loss: -0.5272 (-0.5272) time: 0.3732 data: 0.0004 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:09:29 tlr: 0.00022 tnm: 0.32 Lm: 6.977 (6.977) Lt: 6.339 (6.339) Accm: 2.42 (2.42) Acct: 3.58 (3.58) proj_loss: -0.5006 (-0.5006) time: 0.3414 data: 0.0003 [11-22 23:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:09:34 tlr: 0.00022 tnm: 0.32 Lm: 6.979 (6.979) Lt: 6.335 (6.335) Accm: 2.21 (2.21) Acct: 3.27 (3.27) proj_loss: -0.5264 (-0.5264) time: 0.3439 data: 0.0004 [11-22 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.38 Lm: 6.869 (6.869) Lt: 6.209 (6.209) Accm: 2.62 (2.62) Acct: 4.03 (4.03) proj_loss: -0.5225 (-0.5225) time: 0.3645 data: 0.0003 [11-22 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.38 Lm: 6.946 (6.946) Lt: 6.287 (6.287) Accm: 2.28 (2.28) Acct: 3.49 (3.49) proj_loss: -0.5195 (-0.5195) time: 0.3645 data: 0.0002 [11-22 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.38 Lm: 6.962 (6.962) Lt: 6.326 (6.326) Accm: 2.30 (2.30) Acct: 3.52 (3.52) proj_loss: -0.5208 (-0.5208) time: 0.3645 data: 0.0003 [11-22 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.38 Lm: 6.933 (6.933) Lt: 6.268 (6.268) Accm: 2.32 (2.32) Acct: 3.68 (3.68) proj_loss: -0.5160 (-0.5160) time: 0.3645 data: 0.0002 [11-22 23:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.35 Lm: 6.880 (6.833) Lt: 6.179 (6.150) Accm: 2.43 (2.55) Acct: 3.77 (4.02) proj_loss: -0.5170 (-0.5174) time: 0.3634 data: 0.0004 [11-22 23:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.35 Lm: 6.977 (6.957) Lt: 6.308 (6.294) Accm: 2.14 (2.22) Acct: 3.39 (3.37) proj_loss: -0.5161 (-0.5184) time: 0.3634 data: 0.0002 [11-22 23:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.35 Lm: 6.902 (6.936) Lt: 6.257 (6.303) Accm: 2.25 (2.28) Acct: 3.37 (3.47) proj_loss: -0.5145 (-0.5164) time: 0.3634 data: 0.0002 [11-22 23:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.35 Lm: 6.823 (6.854) Lt: 6.138 (6.185) Accm: 2.58 (2.61) Acct: 4.01 (4.02) proj_loss: -0.5187 (-0.5202) time: 0.3633 data: 0.0002 [11-22 23:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.842 (6.856) Lt: 6.174 (6.191) Accm: 2.53 (2.58) Acct: 3.95 (3.99) proj_loss: -0.5172 (-0.5164) time: 0.3614 data: 0.0002 [11-22 23:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.894 (6.902) Lt: 6.239 (6.250) Accm: 2.36 (2.38) Acct: 3.70 (3.63) proj_loss: -0.5181 (-0.5177) time: 0.3614 data: 0.0003 [11-22 23:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.902 (6.855) Lt: 6.219 (6.177) Accm: 2.34 (2.47) Acct: 3.68 (3.87) proj_loss: -0.5186 (-0.5197) time: 0.3614 data: 0.0003 [11-22 23:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.946 (6.930) Lt: 6.272 (6.259) Accm: 2.28 (2.32) Acct: 3.49 (3.61) proj_loss: -0.5125 (-0.5160) time: 0.3614 data: 0.0003 [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.976 (6.939) Lt: 6.308 (6.276) Accm: 2.14 (2.28) Acct: 3.39 (3.53) proj_loss: -0.5161 (-0.5166) time: 0.3642 data: 0.0017 [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.886 (6.896) Lt: 6.222 (6.237) Accm: 2.32 (2.37) Acct: 3.62 (3.63) proj_loss: -0.5217 (-0.5204) time: 0.3642 data: 0.0016 [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.923 (6.881) Lt: 6.259 (6.198) Accm: 2.37 (2.45) Acct: 3.77 (3.85) proj_loss: -0.5170 (-0.5158) time: 0.3642 data: 0.0015 [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.823 (6.838) Lt: 6.138 (6.169) Accm: 2.58 (2.63) Acct: 4.01 (4.05) proj_loss: -0.5157 (-0.5128) time: 0.3642 data: 0.0018 [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:19:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:04 (0.362 s / it) [11-22 23:19:51] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.935 (6.935), Lt: 6.277 (6.279), Acc m&t: 2.33 3.62, Remain: 2 days, 3:33:36, Finish: 2024-11-24 10:53 [11-22 23:19:51] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.935 (6.935), Lt: 6.277 (6.279), Acc m&t: 2.33 3.62, Remain: 2 days, 3:32:02, Finish: 2024-11-24 10:51 [11-22 23:19:51] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.935 (6.935), Lt: 6.277 (6.279), Acc m&t: 2.33 3.62, Remain: 2 days, 3:32:02, Finish: 2024-11-24 10:51 [11-22 23:19:51] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.935 (6.935), Lt: 6.277 (6.279), Acc m&t: 2.33 3.62, Remain: 2 days, 3:33:29, Finish: 2024-11-24 10:53 [11-22 23:19:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:33 tlr: 0.00022 tnm: 0.31 Lm: 6.879 (6.879) Lt: 6.192 (6.192) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.4913 (-0.4913) time: 0.3439 data: 0.0004 [11-22 23:19:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:43 tlr: 0.00022 tnm: 0.31 Lm: 7.017 (7.017) Lt: 6.374 (6.374) Accm: 2.14 (2.14) Acct: 3.29 (3.29) proj_loss: -0.4982 (-0.4982) time: 0.3496 data: 0.0003 [11-22 23:19:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:33 tlr: 0.00022 tnm: 0.31 Lm: 6.996 (6.996) Lt: 6.345 (6.345) Accm: 2.36 (2.36) Acct: 3.75 (3.75) proj_loss: -0.5181 (-0.5181) time: 0.3438 data: 0.0004 [11-22 23:19:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:35 tlr: 0.00022 tnm: 0.31 Lm: 6.895 (6.895) Lt: 6.268 (6.268) Accm: 2.11 (2.11) Acct: 3.20 (3.20) proj_loss: -0.5231 (-0.5231) time: 0.3446 data: 0.0004 [11-22 23:22:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.32 Lm: 6.842 (6.842) Lt: 6.172 (6.172) Accm: 2.41 (2.41) Acct: 3.64 (3.64) proj_loss: -0.5193 (-0.5193) time: 0.3622 data: 0.0003 [11-22 23:22:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.32 Lm: 6.879 (6.879) Lt: 6.206 (6.206) Accm: 2.51 (2.51) Acct: 3.87 (3.87) proj_loss: -0.5091 (-0.5091) time: 0.3622 data: 0.0003 [11-22 23:22:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.32 Lm: 6.916 (6.916) Lt: 6.253 (6.253) Accm: 2.45 (2.45) Acct: 3.82 (3.82) proj_loss: -0.5194 (-0.5194) time: 0.3622 data: 0.0002 [11-22 23:22:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.32 Lm: 7.025 (7.025) Lt: 6.371 (6.371) Accm: 2.16 (2.16) Acct: 3.38 (3.38) proj_loss: -0.5011 (-0.5011) time: 0.3622 data: 0.0003 [11-22 23:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.36 Lm: 7.033 (7.048) Lt: 6.374 (6.416) Accm: 2.14 (2.09) Acct: 3.29 (3.23) proj_loss: -0.5039 (-0.5098) time: 0.4592 data: 0.0003 [11-22 23:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.36 Lm: 6.879 (6.906) Lt: 6.221 (6.242) Accm: 2.41 (2.48) Acct: 3.75 (3.81) proj_loss: -0.4915 (-0.5032) time: 0.4592 data: 0.0003 [11-22 23:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.36 Lm: 6.960 (6.931) Lt: 6.247 (6.251) Accm: 2.36 (2.41) Acct: 3.75 (3.72) proj_loss: -0.5181 (-0.5120) time: 0.4592 data: 0.0002 [11-22 23:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.36 Lm: 6.895 (6.861) Lt: 6.268 (6.210) Accm: 2.30 (2.37) Acct: 3.72 (3.67) proj_loss: -0.5231 (-0.5253) time: 0.4592 data: 0.0003 [11-22 23:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.39 Lm: 6.856 (6.851) Lt: 6.197 (6.189) Accm: 2.41 (2.41) Acct: 3.90 (3.77) proj_loss: -0.5197 (-0.5230) time: 0.3614 data: 0.0003 [11-22 23:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.39 Lm: 6.920 (6.926) Lt: 6.267 (6.268) Accm: 2.41 (2.38) Acct: 3.71 (3.70) proj_loss: -0.5062 (-0.5076) time: 0.3614 data: 0.0003 [11-22 23:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.39 Lm: 7.025 (7.016) Lt: 6.371 (6.372) Accm: 2.16 (2.19) Acct: 3.38 (3.38) proj_loss: -0.5058 (-0.5092) time: 0.3613 data: 0.0003 [11-22 23:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.39 Lm: 6.978 (6.966) Lt: 6.296 (6.300) Accm: 2.35 (2.33) Acct: 3.63 (3.59) proj_loss: -0.5194 (-0.5199) time: 0.3614 data: 0.0003 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.971 (6.967) Lt: 6.342 (6.308) Accm: 2.33 (2.30) Acct: 3.72 (3.62) proj_loss: -0.5181 (-0.5178) time: 0.3616 data: 0.0014 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:23 (0.374 s / it) [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.958 (6.932) Lt: 6.292 (6.273) Accm: 2.40 (2.33) Acct: 3.67 (3.63) proj_loss: -0.5170 (-0.5095) time: 0.3616 data: 0.0020 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.017 (7.008) Lt: 6.369 (6.367) Accm: 2.14 (2.14) Acct: 3.29 (3.29) proj_loss: -0.5076 (-0.5151) time: 0.3616 data: 0.0017 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:23 (0.374 s / it) [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.834 (6.847) Lt: 6.153 (6.182) Accm: 2.53 (2.46) Acct: 4.05 (3.83) proj_loss: -0.5231 (-0.5235) time: 0.3616 data: 0.0016 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:23 (0.374 s / it) [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:23 (0.374 s / it) [11-22 23:30:15] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.924 (6.924), Lt: 6.265 (6.265), Acc m&t: 2.33 3.62, Remain: 2 days, 3:12:53, Finish: 2024-11-24 10:43 [11-22 23:30:15] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.924 (6.924), Lt: 6.265 (6.265), Acc m&t: 2.33 3.62, Remain: 2 days, 3:12:17, Finish: 2024-11-24 10:42 [11-22 23:30:15] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.924 (6.924), Lt: 6.265 (6.265), Acc m&t: 2.33 3.62, Remain: 2 days, 3:12:53, Finish: 2024-11-24 10:43 [11-22 23:30:15] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.924 (6.924), Lt: 6.265 (6.265), Acc m&t: 2.33 3.62, Remain: 2 days, 3:11:43, Finish: 2024-11-24 10:41 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:49 tlr: 0.00022 tnm: 0.32 Lm: 6.829 (6.829) Lt: 6.150 (6.150) Accm: 2.64 (2.64) Acct: 4.32 (4.32) proj_loss: -0.5230 (-0.5230) time: 0.3533 data: 0.0003 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:49 tlr: 0.00022 tnm: 0.32 Lm: 7.010 (7.010) Lt: 6.311 (6.311) Accm: 1.97 (1.97) Acct: 3.37 (3.37) proj_loss: -0.5141 (-0.5141) time: 0.3533 data: 0.0003 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:48 tlr: 0.00022 tnm: 0.32 Lm: 6.919 (6.919) Lt: 6.239 (6.239) Accm: 2.44 (2.44) Acct: 3.68 (3.68) proj_loss: -0.5163 (-0.5163) time: 0.3526 data: 0.0004 [11-22 23:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:49 tlr: 0.00022 tnm: 0.32 Lm: 6.972 (6.972) Lt: 6.277 (6.277) Accm: 2.15 (2.15) Acct: 3.46 (3.46) proj_loss: -0.4988 (-0.4988) time: 0.3530 data: 0.0003 [11-22 23:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.36 Lm: 6.929 (6.929) Lt: 6.254 (6.254) Accm: 2.35 (2.35) Acct: 3.83 (3.83) proj_loss: -0.5060 (-0.5060) time: 0.3605 data: 0.0002 [11-22 23:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.36 Lm: 7.002 (7.002) Lt: 6.334 (6.334) Accm: 2.08 (2.08) Acct: 3.43 (3.43) proj_loss: -0.5113 (-0.5113) time: 0.3605 data: 0.0003 [11-22 23:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.36 Lm: 6.844 (6.844) Lt: 6.180 (6.180) Accm: 2.74 (2.74) Acct: 4.29 (4.29) proj_loss: -0.5200 (-0.5200) time: 0.3605 data: 0.0002 [11-22 23:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.36 Lm: 6.872 (6.872) Lt: 6.216 (6.216) Accm: 2.52 (2.52) Acct: 3.93 (3.93) proj_loss: -0.5209 (-0.5209) time: 0.3605 data: 0.0003 [11-22 23:35:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.874 (6.873) Lt: 6.239 (6.232) Accm: 2.44 (2.49) Acct: 3.68 (3.82) proj_loss: -0.5255 (-0.5232) time: 0.3619 data: 0.0003 [11-22 23:35:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.859 (6.907) Lt: 6.211 (6.243) Accm: 2.64 (2.53) Acct: 4.25 (4.02) proj_loss: -0.5169 (-0.5157) time: 0.3619 data: 0.0003 [11-22 23:35:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.994 (6.954) Lt: 6.311 (6.270) Accm: 2.08 (2.08) Acct: 3.37 (3.37) proj_loss: -0.5141 (-0.5132) time: 0.3619 data: 0.0003 [11-22 23:35:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.962 (6.940) Lt: 6.261 (6.256) Accm: 2.35 (2.35) Acct: 3.56 (3.74) proj_loss: -0.5133 (-0.5130) time: 0.3619 data: 0.0002 [11-22 23:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.967 (6.982) Lt: 6.269 (6.314) Accm: 2.25 (2.29) Acct: 3.51 (3.59) proj_loss: -0.5175 (-0.5151) time: 0.3617 data: 0.0002 [11-22 23:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.844 (6.885) Lt: 6.180 (6.207) Accm: 2.54 (2.51) Acct: 3.93 (3.91) proj_loss: -0.5183 (-0.5167) time: 0.3617 data: 0.0002 [11-22 23:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 7.002 (6.989) Lt: 6.334 (6.314) Accm: 2.03 (2.03) Acct: 3.32 (3.29) proj_loss: -0.5155 (-0.5166) time: 0.3617 data: 0.0003 [11-22 23:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.897 (6.903) Lt: 6.251 (6.258) Accm: 2.43 (2.38) Acct: 3.63 (3.70) proj_loss: -0.5267 (-0.5253) time: 0.3617 data: 0.0002 [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 6.919 (6.907) Lt: 6.264 (6.259) Accm: 2.43 (2.33) Acct: 3.58 (3.63) proj_loss: -0.5255 (-0.5250) time: 0.3636 data: 0.0020 [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 6.859 (6.891) Lt: 6.211 (6.212) Accm: 2.46 (2.50) Acct: 3.91 (3.91) proj_loss: -0.5169 (-0.5167) time: 0.3636 data: 0.0019 [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 6.994 (6.980) Lt: 6.311 (6.308) Accm: 2.08 (2.11) Acct: 3.37 (3.34) proj_loss: -0.5168 (-0.5180) time: 0.3636 data: 0.0017 [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 6.962 (6.960) Lt: 6.261 (6.292) Accm: 2.35 (2.30) Acct: 3.56 (3.63) proj_loss: -0.5133 (-0.5137) time: 0.3636 data: 0.0016 [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:40:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:40:20] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.924 (6.925), Lt: 6.264 (6.264), Acc m&t: 2.34 3.63, Remain: 2 days, 3:11:35, Finish: 2024-11-24 10:51 [11-22 23:40:20] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.924 (6.925), Lt: 6.264 (6.264), Acc m&t: 2.34 3.63, Remain: 2 days, 3:11:03, Finish: 2024-11-24 10:51 [11-22 23:40:20] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.924 (6.925), Lt: 6.264 (6.264), Acc m&t: 2.34 3.63, Remain: 2 days, 3:14:42, Finish: 2024-11-24 10:55 [11-22 23:40:20] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.924 (6.925), Lt: 6.264 (6.264), Acc m&t: 2.34 3.63, Remain: 2 days, 3:11:25, Finish: 2024-11-24 10:51 [11-22 23:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:09:30 tlr: 0.00022 tnm: 0.38 Lm: 6.872 (6.872) Lt: 6.172 (6.172) Accm: 2.31 (2.31) Acct: 3.62 (3.62) proj_loss: -0.4970 (-0.4970) time: 0.3420 data: 0.0003 [11-22 23:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:07 tlr: 0.00022 tnm: 0.38 Lm: 6.747 (6.747) Lt: 6.099 (6.099) Accm: 2.85 (2.85) Acct: 4.39 (4.39) proj_loss: -0.5257 (-0.5257) time: 0.3640 data: 0.0004 [11-22 23:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:16 tlr: 0.00022 tnm: 0.38 Lm: 6.873 (6.873) Lt: 6.176 (6.176) Accm: 2.40 (2.40) Acct: 3.99 (3.99) proj_loss: -0.5034 (-0.5034) time: 0.3692 data: 0.0003 [11-22 23:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:08 tlr: 0.00022 tnm: 0.38 Lm: 6.852 (6.852) Lt: 6.208 (6.208) Accm: 2.56 (2.56) Acct: 3.70 (3.70) proj_loss: -0.5103 (-0.5103) time: 0.3648 data: 0.0003 [11-22 23:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.34 Lm: 6.878 (6.878) Lt: 6.215 (6.215) Accm: 2.45 (2.45) Acct: 3.77 (3.77) proj_loss: -0.5035 (-0.5035) time: 0.3627 data: 0.0003 [11-22 23:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.34 Lm: 6.799 (6.799) Lt: 6.138 (6.138) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.5168 (-0.5168) time: 0.3627 data: 0.0003 [11-22 23:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.34 Lm: 6.898 (6.898) Lt: 6.194 (6.194) Accm: 2.40 (2.40) Acct: 3.73 (3.73) proj_loss: -0.5095 (-0.5095) time: 0.3627 data: 0.0002 [11-22 23:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.34 Lm: 6.778 (6.778) Lt: 6.065 (6.065) Accm: 2.79 (2.79) Acct: 4.32 (4.32) proj_loss: -0.5171 (-0.5171) time: 0.3627 data: 0.0004 [11-22 23:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.37 Lm: 6.873 (6.844) Lt: 6.176 (6.146) Accm: 2.40 (2.53) Acct: 3.99 (3.95) proj_loss: -0.5307 (-0.5230) time: 0.3648 data: 0.0003 [11-22 23:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.37 Lm: 6.747 (6.774) Lt: 6.099 (6.110) Accm: 2.85 (2.73) Acct: 4.29 (4.09) proj_loss: -0.5118 (-0.5151) time: 0.3648 data: 0.0003 [11-22 23:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.37 Lm: 6.904 (6.901) Lt: 6.223 (6.235) Accm: 2.35 (2.36) Acct: 3.70 (3.57) proj_loss: -0.5103 (-0.5083) time: 0.3648 data: 0.0002 [11-22 23:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.37 Lm: 6.872 (6.874) Lt: 6.172 (6.169) Accm: 2.50 (2.49) Acct: 3.84 (3.86) proj_loss: -0.5047 (-0.5079) time: 0.3649 data: 0.0003 [11-22 23:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 6.850 (6.852) Lt: 6.146 (6.152) Accm: 2.58 (2.55) Acct: 3.98 (3.97) proj_loss: -0.5046 (-0.5070) time: 0.3621 data: 0.0002 [11-22 23:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 6.925 (6.927) Lt: 6.248 (6.261) Accm: 2.26 (2.31) Acct: 3.45 (3.48) proj_loss: -0.5142 (-0.5131) time: 0.3621 data: 0.0002 [11-22 23:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 6.839 (6.835) Lt: 6.161 (6.146) Accm: 2.42 (2.50) Acct: 3.97 (3.95) proj_loss: -0.5256 (-0.5223) time: 0.3622 data: 0.0002 [11-22 23:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 6.799 (6.810) Lt: 6.138 (6.140) Accm: 2.62 (2.61) Acct: 3.94 (3.90) proj_loss: -0.5187 (-0.5189) time: 0.3622 data: 0.0003 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.851 (6.835) Lt: 6.178 (6.164) Accm: 2.40 (2.50) Acct: 3.60 (3.75) proj_loss: -0.5257 (-0.5240) time: 0.3638 data: 0.0020 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.872 (6.872) Lt: 6.172 (6.179) Accm: 2.50 (2.48) Acct: 3.84 (3.86) proj_loss: -0.5047 (-0.5098) time: 0.3638 data: 0.0016 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.947 (6.943) Lt: 6.273 (6.285) Accm: 2.17 (2.20) Acct: 3.20 (3.36) proj_loss: -0.5180 (-0.5177) time: 0.3638 data: 0.0017 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.873 (6.851) Lt: 6.176 (6.164) Accm: 2.43 (2.50) Acct: 3.94 (3.93) proj_loss: -0.5204 (-0.5164) time: 0.3638 data: 0.0022 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:05 (0.363 s / it) [11-22 23:50:26] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.909 (6.909), Lt: 6.241 (6.241), Acc m&t: 2.38 3.69, Remain: 2 days, 2:55:14, Finish: 2024-11-24 10:45 [11-22 23:50:26] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.909 (6.909), Lt: 6.241 (6.241), Acc m&t: 2.38 3.69, Remain: 2 days, 2:54:36, Finish: 2024-11-24 10:45 [11-22 23:50:26] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.909 (6.909), Lt: 6.241 (6.241), Acc m&t: 2.38 3.69, Remain: 2 days, 2:54:08, Finish: 2024-11-24 10:44 [11-22 23:50:26] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.909 (6.909), Lt: 6.241 (6.241), Acc m&t: 2.38 3.69, Remain: 2 days, 2:54:31, Finish: 2024-11-24 10:44 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:35 tlr: 0.00022 tnm: 0.35 Lm: 6.953 (6.953) Lt: 6.241 (6.241) Accm: 2.08 (2.08) Acct: 3.24 (3.24) proj_loss: -0.5282 (-0.5282) time: 0.3450 data: 0.0005 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:36 tlr: 0.00022 tnm: 0.35 Lm: 6.948 (6.948) Lt: 6.283 (6.283) Accm: 2.30 (2.30) Acct: 3.34 (3.34) proj_loss: -0.5146 (-0.5146) time: 0.3453 data: 0.0004 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:37 tlr: 0.00022 tnm: 0.35 Lm: 6.971 (6.971) Lt: 6.297 (6.297) Accm: 2.27 (2.27) Acct: 3.75 (3.75) proj_loss: -0.5173 (-0.5173) time: 0.3459 data: 0.0004 [11-22 23:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:37 tlr: 0.00022 tnm: 0.35 Lm: 6.770 (6.770) Lt: 6.086 (6.086) Accm: 2.53 (2.53) Acct: 4.03 (4.03) proj_loss: -0.5034 (-0.5034) time: 0.3461 data: 0.0003 [11-22 23:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.840 (6.840) Lt: 6.175 (6.175) Accm: 2.43 (2.43) Acct: 3.87 (3.87) proj_loss: -0.5002 (-0.5002) time: 0.3583 data: 0.0003 [11-22 23:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.926 (6.926) Lt: 6.236 (6.236) Accm: 2.18 (2.18) Acct: 3.40 (3.40) proj_loss: -0.5216 (-0.5216) time: 0.3583 data: 0.0002 [11-22 23:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.927 (6.927) Lt: 6.266 (6.266) Accm: 2.37 (2.37) Acct: 3.56 (3.56) proj_loss: -0.5276 (-0.5276) time: 0.3584 data: 0.0002 [11-22 23:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.985 (6.985) Lt: 6.309 (6.309) Accm: 2.23 (2.23) Acct: 3.53 (3.53) proj_loss: -0.5212 (-0.5212) time: 0.3584 data: 0.0003 [11-22 23:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:21 tlr: 0.00022 tnm: 0.34 Lm: 6.971 (6.939) Lt: 6.297 (6.259) Accm: 2.27 (2.36) Acct: 3.75 (3.81) proj_loss: -0.5173 (-0.5194) time: 0.4062 data: 0.0003 [11-22 23:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:21 tlr: 0.00022 tnm: 0.34 Lm: 6.898 (6.906) Lt: 6.230 (6.233) Accm: 2.28 (2.23) Acct: 3.56 (3.47) proj_loss: -0.5273 (-0.5235) time: 0.4062 data: 0.0003 [11-22 23:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:21 tlr: 0.00022 tnm: 0.34 Lm: 6.905 (6.913) Lt: 6.260 (6.264) Accm: 2.30 (2.34) Acct: 3.41 (3.51) proj_loss: -0.5243 (-0.5265) time: 0.4062 data: 0.0003 [11-22 23:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:21 tlr: 0.00022 tnm: 0.34 Lm: 6.909 (6.876) Lt: 6.264 (6.208) Accm: 2.33 (2.38) Acct: 3.70 (3.76) proj_loss: -0.5034 (-0.5058) time: 0.4062 data: 0.0003 [11-22 23:58:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.33 Lm: 6.929 (6.900) Lt: 6.268 (6.239) Accm: 2.31 (2.33) Acct: 3.63 (3.68) proj_loss: -0.5101 (-0.5094) time: 0.3646 data: 0.0002 [11-22 23:58:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.33 Lm: 6.896 (6.892) Lt: 6.255 (6.231) Accm: 2.37 (2.43) Acct: 3.60 (3.74) proj_loss: -0.5275 (-0.5275) time: 0.3646 data: 0.0003 [11-22 23:58:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.33 Lm: 6.933 (6.928) Lt: 6.266 (6.252) Accm: 2.39 (2.40) Acct: 3.75 (3.80) proj_loss: -0.5212 (-0.5226) time: 0.3646 data: 0.0003 [11-22 23:58:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.33 Lm: 6.919 (6.914) Lt: 6.236 (6.242) Accm: 2.27 (2.24) Acct: 3.57 (3.50) proj_loss: -0.5277 (-0.5258) time: 0.3646 data: 0.0002 [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.898 (6.899) Lt: 6.230 (6.222) Accm: 2.28 (2.29) Acct: 3.58 (3.53) proj_loss: -0.5273 (-0.5257) time: 0.3641 data: 0.0016 [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:23 (0.374 s / it) [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.905 (6.908) Lt: 6.260 (6.245) Accm: 2.45 (2.44) Acct: 3.79 (3.79) proj_loss: -0.5307 (-0.5293) time: 0.3641 data: 0.0019 [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.971 (6.942) Lt: 6.297 (6.272) Accm: 2.27 (2.35) Acct: 3.75 (3.73) proj_loss: -0.5245 (-0.5230) time: 0.3641 data: 0.0018 [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.949 (6.929) Lt: 6.273 (6.280) Accm: 2.29 (2.29) Acct: 3.56 (3.58) proj_loss: -0.5169 (-0.5119) time: 0.3641 data: 0.0019 [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:23 (0.374 s / it) [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:23 (0.374 s / it) [11-23 00:00:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:23 (0.374 s / it) [11-23 00:02:53] (home/user/VAR/trainer.py, line 114)=> FID: 6.446828585251978 [11-23 00:02:53] (/home/user/VAR/train.py , line 259)=> [*] [ep49] (val 50000) Lm: 6.9207, Lt: 6.2598, Acc m&t: 2.35 3.63, Val cost: 123.04s [11-23 00:02:53] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 00:03:09] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.909 (6.921), Lt: 6.241 (6.260), Acc m&t: 2.38 3.69, Remain: 2 days, 3:04:55, Finish: 2024-11-24 11:05 [11-23 00:03:09] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.909 (6.921), Lt: 6.241 (6.260), Acc m&t: 2.38 3.69, Remain: 2 days, 3:03:42, Finish: 2024-11-24 11:04 [11-23 00:03:09] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.909 (6.921), Lt: 6.241 (6.260), Acc m&t: 2.38 3.69, Remain: 2 days, 3:03:05, Finish: 2024-11-24 11:03 [11-23 00:03:09] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.909 (6.921), Lt: 6.241 (6.260), Acc m&t: 2.38 3.69, Remain: 2 days, 3:04:37, Finish: 2024-11-24 11:05 [11-23 00:03:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:09:56 tlr: 0.00022 tnm: 0.40 Lm: 6.933 (6.933) Lt: 6.248 (6.248) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.5281 (-0.5281) time: 0.3576 data: 0.0003 [11-23 00:03:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:09:56 tlr: 0.00022 tnm: 0.40 Lm: 6.873 (6.873) Lt: 6.218 (6.218) Accm: 2.45 (2.45) Acct: 3.58 (3.58) proj_loss: -0.5115 (-0.5115) time: 0.3574 data: 0.0004 [11-23 00:03:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:09:57 tlr: 0.00022 tnm: 0.40 Lm: 6.989 (6.989) Lt: 6.318 (6.318) Accm: 2.17 (2.17) Acct: 3.20 (3.20) proj_loss: -0.5259 (-0.5259) time: 0.3579 data: 0.0004 [11-23 00:03:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:09:58 tlr: 0.00022 tnm: 0.40 Lm: 6.844 (6.844) Lt: 6.146 (6.146) Accm: 2.66 (2.66) Acct: 4.10 (4.10) proj_loss: -0.5508 (-0.5508) time: 0.3586 data: 0.0004 [11-23 00:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.36 Lm: 6.985 (6.985) Lt: 6.325 (6.325) Accm: 2.03 (2.03) Acct: 3.04 (3.04) proj_loss: -0.5257 (-0.5257) time: 0.3626 data: 0.0003 [11-23 00:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.36 Lm: 7.011 (7.011) Lt: 6.368 (6.368) Accm: 2.35 (2.35) Acct: 3.42 (3.42) proj_loss: -0.5264 (-0.5264) time: 0.3625 data: 0.0003 [11-23 00:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.36 Lm: 6.943 (6.943) Lt: 6.305 (6.305) Accm: 2.33 (2.33) Acct: 3.42 (3.42) proj_loss: -0.5181 (-0.5181) time: 0.3625 data: 0.0003 [11-23 00:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.36 Lm: 6.902 (6.902) Lt: 6.225 (6.225) Accm: 2.41 (2.41) Acct: 3.81 (3.81) proj_loss: -0.5386 (-0.5386) time: 0.3626 data: 0.0003 [11-23 00:08:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.954 (6.919) Lt: 6.292 (6.247) Accm: 2.17 (2.33) Acct: 3.55 (3.72) proj_loss: -0.5264 (-0.5344) time: 0.3639 data: 0.0003 [11-23 00:08:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.933 (6.913) Lt: 6.248 (6.263) Accm: 2.21 (2.24) Acct: 3.43 (3.32) proj_loss: -0.5232 (-0.5221) time: 0.3639 data: 0.0003 [11-23 00:08:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.892 (6.926) Lt: 6.218 (6.263) Accm: 2.35 (2.34) Acct: 3.50 (3.44) proj_loss: -0.5193 (-0.5185) time: 0.3639 data: 0.0003 [11-23 00:08:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.989 (6.990) Lt: 6.318 (6.344) Accm: 2.32 (2.34) Acct: 3.46 (3.43) proj_loss: -0.5259 (-0.5233) time: 0.3639 data: 0.0002 [11-23 00:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.971 (6.981) Lt: 6.321 (6.339) Accm: 2.25 (2.30) Acct: 3.48 (3.45) proj_loss: -0.5254 (-0.5237) time: 0.3617 data: 0.0003 [11-23 00:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.957 (6.934) Lt: 6.297 (6.267) Accm: 2.17 (2.29) Acct: 3.53 (3.67) proj_loss: -0.5288 (-0.5335) time: 0.3617 data: 0.0002 [11-23 00:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.967 (6.935) Lt: 6.307 (6.288) Accm: 2.27 (2.26) Acct: 3.58 (3.42) proj_loss: -0.5240 (-0.5228) time: 0.3617 data: 0.0002 [11-23 00:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.882 (6.911) Lt: 6.198 (6.229) Accm: 2.33 (2.33) Acct: 3.51 (3.47) proj_loss: -0.5188 (-0.5184) time: 0.3617 data: 0.0003 [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.892 (6.945) Lt: 6.218 (6.274) Accm: 2.31 (2.28) Acct: 3.50 (3.42) proj_loss: -0.5193 (-0.5194) time: 0.3651 data: 0.0016 [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.954 (6.968) Lt: 6.318 (6.320) Accm: 2.32 (2.30) Acct: 3.46 (3.44) proj_loss: -0.5250 (-0.5239) time: 0.3651 data: 0.0019 [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.959 (6.941) Lt: 6.303 (6.278) Accm: 2.17 (2.27) Acct: 3.51 (3.55) proj_loss: -0.5264 (-0.5315) time: 0.3651 data: 0.0018 [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.933 (6.929) Lt: 6.248 (6.276) Accm: 2.32 (2.31) Acct: 3.74 (3.52) proj_loss: -0.5232 (-0.5209) time: 0.3651 data: 0.0016 [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:13:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:13:13] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.909 (6.917), Lt: 6.241 (6.251), Acc m&t: 2.38 3.69, Remain: 2 days, 2:40:38, Finish: 2024-11-24 10:53 [11-23 00:13:13] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.909 (6.917), Lt: 6.241 (6.251), Acc m&t: 2.38 3.69, Remain: 2 days, 2:40:28, Finish: 2024-11-24 10:53 [11-23 00:13:13] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.909 (6.917), Lt: 6.241 (6.251), Acc m&t: 2.38 3.69, Remain: 2 days, 2:39:53, Finish: 2024-11-24 10:53 [11-23 00:13:13] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.909 (6.917), Lt: 6.241 (6.251), Acc m&t: 2.38 3.69, Remain: 2 days, 2:41:57, Finish: 2024-11-24 10:55 [11-23 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.37 Lm: 6.885 (6.885) Lt: 6.236 (6.236) Accm: 2.38 (2.38) Acct: 3.67 (3.67) proj_loss: -0.5164 (-0.5164) time: 0.3663 data: 0.0003 [11-23 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.37 Lm: 7.038 (7.038) Lt: 6.385 (6.385) Accm: 2.29 (2.29) Acct: 3.63 (3.63) proj_loss: -0.5231 (-0.5231) time: 0.3663 data: 0.0003 [11-23 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:09 tlr: 0.00022 tnm: 0.37 Lm: 6.928 (6.928) Lt: 6.257 (6.257) Accm: 2.76 (2.76) Acct: 4.49 (4.49) proj_loss: -0.5193 (-0.5193) time: 0.3655 data: 0.0004 [11-23 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:42 tlr: 0.00022 tnm: 0.37 Lm: 6.972 (6.972) Lt: 6.256 (6.256) Accm: 2.25 (2.25) Acct: 3.68 (3.68) proj_loss: -0.5232 (-0.5232) time: 0.3851 data: 0.0003 [11-23 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.905 (6.905) Lt: 6.213 (6.213) Accm: 2.47 (2.47) Acct: 3.92 (3.92) proj_loss: -0.5213 (-0.5213) time: 0.3616 data: 0.0002 [11-23 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.858 (6.858) Lt: 6.186 (6.186) Accm: 2.38 (2.38) Acct: 3.79 (3.79) proj_loss: -0.5152 (-0.5152) time: 0.3616 data: 0.0003 [11-23 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.927 (6.927) Lt: 6.260 (6.260) Accm: 2.34 (2.34) Acct: 3.69 (3.69) proj_loss: -0.5223 (-0.5223) time: 0.3616 data: 0.0003 [11-23 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.935 (6.935) Lt: 6.281 (6.281) Accm: 2.52 (2.52) Acct: 4.02 (4.02) proj_loss: -0.5291 (-0.5291) time: 0.3616 data: 0.0003 [11-23 00:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.941 (6.948) Lt: 6.257 (6.272) Accm: 2.28 (2.39) Acct: 3.75 (3.93) proj_loss: -0.5262 (-0.5281) time: 0.3631 data: 0.0003 [11-23 00:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.885 (6.885) Lt: 6.236 (6.207) Accm: 2.38 (2.42) Acct: 3.82 (3.80) proj_loss: -0.5164 (-0.5228) time: 0.3631 data: 0.0003 [11-23 00:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.839 (6.883) Lt: 6.170 (6.195) Accm: 2.51 (2.48) Acct: 3.98 (3.94) proj_loss: -0.5232 (-0.5253) time: 0.3631 data: 0.0003 [11-23 00:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.895 (6.916) Lt: 6.224 (6.248) Accm: 2.39 (2.43) Acct: 3.75 (3.87) proj_loss: -0.5215 (-0.5184) time: 0.3631 data: 0.0003 [11-23 00:20:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.936 (6.932) Lt: 6.279 (6.270) Accm: 2.34 (2.38) Acct: 3.69 (3.77) proj_loss: -0.5223 (-0.5243) time: 0.3630 data: 0.0003 [11-23 00:20:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.910 (6.897) Lt: 6.242 (6.217) Accm: 2.38 (2.32) Acct: 3.74 (3.66) proj_loss: -0.5161 (-0.5211) time: 0.3630 data: 0.0003 [11-23 00:20:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.943 (6.948) Lt: 6.281 (6.281) Accm: 2.31 (2.38) Acct: 3.65 (3.84) proj_loss: -0.5228 (-0.5230) time: 0.3629 data: 0.0002 [11-23 00:20:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.905 (6.923) Lt: 6.213 (6.253) Accm: 2.38 (2.42) Acct: 3.83 (3.84) proj_loss: -0.5281 (-0.5272) time: 0.3629 data: 0.0003 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.889 (6.916) Lt: 6.226 (6.248) Accm: 2.51 (2.44) Acct: 3.79 (3.83) proj_loss: -0.5331 (-0.5287) time: 0.3643 data: 0.0018 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.885 (6.881) Lt: 6.236 (6.198) Accm: 2.38 (2.36) Acct: 3.82 (3.74) proj_loss: -0.5164 (-0.5221) time: 0.3643 data: 0.0017 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.941 (6.934) Lt: 6.257 (6.273) Accm: 2.33 (2.37) Acct: 3.62 (3.79) proj_loss: -0.5254 (-0.5235) time: 0.3643 data: 0.0019 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.926 (6.930) Lt: 6.230 (6.262) Accm: 2.29 (2.34) Acct: 3.63 (3.67) proj_loss: -0.5231 (-0.5251) time: 0.3643 data: 0.0021 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:23:18] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.909 (6.916), Lt: 6.241 (6.247), Acc m&t: 2.38 3.69, Remain: 2 days, 2:32:17, Finish: 2024-11-24 10:55 [11-23 00:23:18] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.909 (6.916), Lt: 6.241 (6.247), Acc m&t: 2.38 3.69, Remain: 2 days, 2:28:55, Finish: 2024-11-24 10:52 [11-23 00:23:18] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.909 (6.916), Lt: 6.241 (6.247), Acc m&t: 2.38 3.69, Remain: 2 days, 2:32:24, Finish: 2024-11-24 10:55 [11-23 00:23:18] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.909 (6.916), Lt: 6.241 (6.247), Acc m&t: 2.38 3.69, Remain: 2 days, 2:33:04, Finish: 2024-11-24 10:56 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:44 tlr: 0.00022 tnm: 0.34 Lm: 6.989 (6.989) Lt: 6.343 (6.343) Accm: 2.02 (2.02) Acct: 3.17 (3.17) proj_loss: -0.5327 (-0.5327) time: 0.3503 data: 0.0003 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:45 tlr: 0.00022 tnm: 0.34 Lm: 6.963 (6.963) Lt: 6.353 (6.353) Accm: 2.16 (2.16) Acct: 3.29 (3.29) proj_loss: -0.5312 (-0.5312) time: 0.3506 data: 0.0003 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:45 tlr: 0.00022 tnm: 0.34 Lm: 7.062 (7.062) Lt: 6.378 (6.378) Accm: 1.95 (1.95) Acct: 3.13 (3.13) proj_loss: -0.5073 (-0.5073) time: 0.3510 data: 0.0003 [11-23 00:23:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:46 tlr: 0.00022 tnm: 0.34 Lm: 6.965 (6.965) Lt: 6.328 (6.328) Accm: 2.18 (2.18) Acct: 3.32 (3.32) proj_loss: -0.5104 (-0.5104) time: 0.3512 data: 0.0004 [11-23 00:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:36 tlr: 0.00022 tnm: 0.33 Lm: 6.869 (6.869) Lt: 6.208 (6.208) Accm: 2.60 (2.60) Acct: 3.89 (3.89) proj_loss: -0.5160 (-0.5160) time: 0.3998 data: 0.0003 [11-23 00:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:36 tlr: 0.00022 tnm: 0.33 Lm: 6.951 (6.951) Lt: 6.330 (6.330) Accm: 2.29 (2.29) Acct: 3.48 (3.48) proj_loss: -0.5270 (-0.5270) time: 0.3998 data: 0.0003 [11-23 00:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:36 tlr: 0.00022 tnm: 0.33 Lm: 6.997 (6.997) Lt: 6.337 (6.337) Accm: 2.05 (2.05) Acct: 3.19 (3.19) proj_loss: -0.5210 (-0.5210) time: 0.3998 data: 0.0002 [11-23 00:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:36 tlr: 0.00022 tnm: 0.33 Lm: 7.059 (7.059) Lt: 6.400 (6.400) Accm: 2.00 (2.00) Acct: 3.13 (3.13) proj_loss: -0.5284 (-0.5284) time: 0.3998 data: 0.0002 [11-23 00:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:22 tlr: 0.00022 tnm: 0.34 Lm: 7.055 (6.977) Lt: 6.378 (6.297) Accm: 2.05 (2.16) Acct: 3.13 (3.44) proj_loss: -0.5156 (-0.5242) time: 0.3635 data: 0.0003 [11-23 00:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:22 tlr: 0.00022 tnm: 0.34 Lm: 6.939 (6.942) Lt: 6.307 (6.294) Accm: 2.16 (2.19) Acct: 3.29 (3.38) proj_loss: -0.5229 (-0.5192) time: 0.3635 data: 0.0003 [11-23 00:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:22 tlr: 0.00022 tnm: 0.34 Lm: 6.989 (6.970) Lt: 6.332 (6.300) Accm: 2.09 (2.13) Acct: 3.22 (3.36) proj_loss: -0.5120 (-0.5180) time: 0.3635 data: 0.0002 [11-23 00:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:22 tlr: 0.00022 tnm: 0.34 Lm: 6.843 (6.860) Lt: 6.138 (6.184) Accm: 2.55 (2.59) Acct: 3.75 (3.85) proj_loss: -0.5216 (-0.5188) time: 0.3635 data: 0.0003 [11-23 00:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 6.858 (6.864) Lt: 6.163 (6.185) Accm: 2.43 (2.52) Acct: 3.71 (3.80) proj_loss: -0.5230 (-0.5215) time: 0.3630 data: 0.0002 [11-23 00:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 6.948 (6.943) Lt: 6.275 (6.266) Accm: 2.27 (2.27) Acct: 3.60 (3.62) proj_loss: -0.5145 (-0.5215) time: 0.3630 data: 0.0003 [11-23 00:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 6.953 (6.933) Lt: 6.279 (6.255) Accm: 2.19 (2.24) Acct: 3.45 (3.56) proj_loss: -0.5195 (-0.5203) time: 0.3630 data: 0.0002 [11-23 00:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 6.951 (6.956) Lt: 6.314 (6.301) Accm: 2.22 (2.21) Acct: 3.41 (3.42) proj_loss: -0.5190 (-0.5182) time: 0.3630 data: 0.0003 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.939 (6.945) Lt: 6.307 (6.285) Accm: 2.28 (2.28) Acct: 3.53 (3.53) proj_loss: -0.5195 (-0.5184) time: 0.3627 data: 0.0020 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:24 (0.374 s / it) [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.987 (6.944) Lt: 6.327 (6.270) Accm: 2.19 (2.23) Acct: 3.48 (3.55) proj_loss: -0.5204 (-0.5203) time: 0.3627 data: 0.0015 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.874 (6.895) Lt: 6.189 (6.226) Accm: 2.31 (2.39) Acct: 3.67 (3.63) proj_loss: -0.5237 (-0.5219) time: 0.3627 data: 0.0016 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.967 (6.948) Lt: 6.255 (6.264) Accm: 2.26 (2.27) Acct: 3.48 (3.59) proj_loss: -0.5133 (-0.5187) time: 0.3627 data: 0.0020 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:24 (0.374 s / it) [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:24 (0.374 s / it) [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:24 (0.374 s / it) [11-23 00:33:42] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.904 (6.904), Lt: 6.233 (6.233), Acc m&t: 2.38 3.69, Remain: 2 days, 2:19:42, Finish: 2024-11-24 10:53 [11-23 00:33:42] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.904 (6.904), Lt: 6.233 (6.233), Acc m&t: 2.38 3.69, Remain: 2 days, 2:21:40, Finish: 2024-11-24 10:55 [11-23 00:33:42] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.904 (6.904), Lt: 6.233 (6.233), Acc m&t: 2.38 3.69, Remain: 2 days, 2:20:02, Finish: 2024-11-24 10:53 [11-23 00:33:42] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.904 (6.904), Lt: 6.233 (6.233), Acc m&t: 2.38 3.69, Remain: 2 days, 2:22:29, Finish: 2024-11-24 10:56 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:09:50 tlr: 0.00022 tnm: 0.34 Lm: 6.958 (6.958) Lt: 6.305 (6.305) Accm: 2.16 (2.16) Acct: 3.24 (3.24) proj_loss: -0.5087 (-0.5087) time: 0.3535 data: 0.0003 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:09:42 tlr: 0.00022 tnm: 0.34 Lm: 7.002 (7.002) Lt: 6.370 (6.370) Accm: 2.00 (2.00) Acct: 3.01 (3.01) proj_loss: -0.5053 (-0.5053) time: 0.3491 data: 0.0004 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:09:51 tlr: 0.00022 tnm: 0.34 Lm: 6.986 (6.986) Lt: 6.335 (6.335) Accm: 2.01 (2.01) Acct: 3.05 (3.05) proj_loss: -0.5300 (-0.5300) time: 0.3547 data: 0.0003 [11-23 00:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:09:50 tlr: 0.00022 tnm: 0.34 Lm: 6.905 (6.905) Lt: 6.254 (6.254) Accm: 2.37 (2.37) Acct: 3.87 (3.87) proj_loss: -0.5144 (-0.5144) time: 0.3540 data: 0.0003 [11-23 00:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.34 Lm: 6.963 (6.963) Lt: 6.334 (6.334) Accm: 2.19 (2.19) Acct: 3.47 (3.47) proj_loss: -0.5251 (-0.5251) time: 0.3624 data: 0.0003 [11-23 00:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.34 Lm: 6.934 (6.934) Lt: 6.290 (6.290) Accm: 2.28 (2.28) Acct: 3.47 (3.47) proj_loss: -0.5147 (-0.5147) time: 0.3624 data: 0.0002 [11-23 00:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.34 Lm: 6.942 (6.942) Lt: 6.300 (6.300) Accm: 2.27 (2.27) Acct: 3.28 (3.28) proj_loss: -0.5194 (-0.5194) time: 0.3624 data: 0.0003 [11-23 00:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:34 tlr: 0.00022 tnm: 0.34 Lm: 6.994 (6.994) Lt: 6.355 (6.355) Accm: 2.08 (2.08) Acct: 3.17 (3.17) proj_loss: -0.5240 (-0.5240) time: 0.3624 data: 0.0003 [11-23 00:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.34 Lm: 6.986 (6.990) Lt: 6.335 (6.338) Accm: 2.14 (2.13) Acct: 3.29 (3.33) proj_loss: -0.5225 (-0.5235) time: 0.3625 data: 0.0003 [11-23 00:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.34 Lm: 6.915 (6.927) Lt: 6.251 (6.277) Accm: 2.37 (2.31) Acct: 3.75 (3.56) proj_loss: -0.5188 (-0.5161) time: 0.3625 data: 0.0002 [11-23 00:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.34 Lm: 6.927 (6.917) Lt: 6.295 (6.250) Accm: 2.28 (2.28) Acct: 3.32 (3.31) proj_loss: -0.5096 (-0.5161) time: 0.3625 data: 0.0002 [11-23 00:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.34 Lm: 6.905 (6.923) Lt: 6.254 (6.293) Accm: 2.37 (2.32) Acct: 3.87 (3.63) proj_loss: -0.5357 (-0.5335) time: 0.3625 data: 0.0003 [11-23 00:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.922 (6.927) Lt: 6.251 (6.282) Accm: 2.30 (2.30) Acct: 3.68 (3.60) proj_loss: -0.5288 (-0.5306) time: 0.3584 data: 0.0002 [11-23 00:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.959 (6.967) Lt: 6.311 (6.324) Accm: 2.20 (2.24) Acct: 3.49 (3.48) proj_loss: -0.5215 (-0.5196) time: 0.3584 data: 0.0002 [11-23 00:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.994 (6.997) Lt: 6.319 (6.327) Accm: 2.14 (2.13) Acct: 3.36 (3.36) proj_loss: -0.5202 (-0.5199) time: 0.3584 data: 0.0002 [11-23 00:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.942 (6.988) Lt: 6.300 (6.345) Accm: 2.22 (2.19) Acct: 3.28 (3.19) proj_loss: -0.5198 (-0.5200) time: 0.3583 data: 0.0002 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.958 (6.990) Lt: 6.305 (6.345) Accm: 2.16 (2.15) Acct: 3.24 (3.17) proj_loss: -0.5245 (-0.5209) time: 0.3641 data: 0.0017 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.915 (6.937) Lt: 6.251 (6.285) Accm: 2.37 (2.33) Acct: 3.75 (3.62) proj_loss: -0.5241 (-0.5212) time: 0.3641 data: 0.0022 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.910 (6.924) Lt: 6.254 (6.278) Accm: 2.37 (2.31) Acct: 3.50 (3.56) proj_loss: -0.5219 (-0.5284) time: 0.3641 data: 0.0018 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.986 (6.973) Lt: 6.303 (6.297) Accm: 2.14 (2.23) Acct: 3.43 (3.47) proj_loss: -0.5225 (-0.5211) time: 0.3641 data: 0.0019 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:43:47] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.901 (6.901), Lt: 6.231 (6.231), Acc m&t: 2.40 3.73, Remain: 2 days, 2:25:20, Finish: 2024-11-24 11:09 [11-23 00:43:47] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.901 (6.901), Lt: 6.231 (6.231), Acc m&t: 2.40 3.73, Remain: 2 days, 2:24:12, Finish: 2024-11-24 11:07 [11-23 00:43:47] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.901 (6.901), Lt: 6.231 (6.231), Acc m&t: 2.40 3.73, Remain: 2 days, 2:22:22, Finish: 2024-11-24 11:06 [11-23 00:43:47] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.901 (6.901), Lt: 6.231 (6.231), Acc m&t: 2.40 3.73, Remain: 2 days, 2:24:06, Finish: 2024-11-24 11:07 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:09 tlr: 0.00022 tnm: 0.33 Lm: 6.998 (6.998) Lt: 6.354 (6.354) Accm: 2.08 (2.08) Acct: 3.34 (3.34) proj_loss: -0.5224 (-0.5224) time: 0.3654 data: 0.0003 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.33 Lm: 6.853 (6.853) Lt: 6.187 (6.187) Accm: 2.70 (2.70) Acct: 4.10 (4.10) proj_loss: -0.5290 (-0.5290) time: 0.3656 data: 0.0004 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.33 Lm: 6.939 (6.939) Lt: 6.294 (6.294) Accm: 2.39 (2.39) Acct: 3.77 (3.77) proj_loss: -0.5315 (-0.5315) time: 0.3660 data: 0.0003 [11-23 00:43:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.33 Lm: 7.014 (7.014) Lt: 6.371 (6.371) Accm: 2.11 (2.11) Acct: 3.31 (3.31) proj_loss: -0.5323 (-0.5323) time: 0.3663 data: 0.0004 [11-23 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.32 Lm: 7.014 (7.014) Lt: 6.369 (6.369) Accm: 2.12 (2.12) Acct: 3.31 (3.31) proj_loss: -0.5271 (-0.5271) time: 0.3618 data: 0.0002 [11-23 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.32 Lm: 6.939 (6.939) Lt: 6.281 (6.281) Accm: 2.35 (2.35) Acct: 3.56 (3.56) proj_loss: -0.5337 (-0.5337) time: 0.3618 data: 0.0003 [11-23 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.32 Lm: 7.004 (7.004) Lt: 6.358 (6.358) Accm: 2.10 (2.10) Acct: 3.47 (3.47) proj_loss: -0.5220 (-0.5220) time: 0.3618 data: 0.0003 [11-23 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.32 Lm: 6.912 (6.912) Lt: 6.255 (6.255) Accm: 2.30 (2.30) Acct: 3.61 (3.61) proj_loss: -0.5216 (-0.5216) time: 0.3618 data: 0.0003 [11-23 00:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.886 (6.882) Lt: 6.217 (6.208) Accm: 2.39 (2.34) Acct: 3.77 (3.70) proj_loss: -0.5162 (-0.5198) time: 0.3645 data: 0.0003 [11-23 00:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 7.014 (7.006) Lt: 6.366 (6.357) Accm: 2.11 (2.09) Acct: 3.31 (3.20) proj_loss: -0.5323 (-0.5351) time: 0.3645 data: 0.0002 [11-23 00:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.998 (6.959) Lt: 6.354 (6.319) Accm: 2.12 (2.32) Acct: 3.60 (3.64) proj_loss: -0.5224 (-0.5268) time: 0.3645 data: 0.0003 [11-23 00:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.34 Lm: 6.867 (6.915) Lt: 6.212 (6.258) Accm: 2.53 (2.41) Acct: 3.93 (3.68) proj_loss: -0.5383 (-0.5379) time: 0.3645 data: 0.0003 [11-23 00:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 6.909 (6.924) Lt: 6.239 (6.260) Accm: 2.37 (2.36) Acct: 3.71 (3.63) proj_loss: -0.5337 (-0.5349) time: 0.3620 data: 0.0002 [11-23 00:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 7.002 (6.973) Lt: 6.349 (6.325) Accm: 2.12 (2.20) Acct: 3.31 (3.32) proj_loss: -0.5276 (-0.5321) time: 0.3620 data: 0.0002 [11-23 00:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 6.933 (6.934) Lt: 6.297 (6.288) Accm: 2.33 (2.38) Acct: 3.77 (3.71) proj_loss: -0.5224 (-0.5257) time: 0.3620 data: 0.0002 [11-23 00:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.36 Lm: 6.878 (6.879) Lt: 6.197 (6.200) Accm: 2.30 (2.30) Acct: 3.63 (3.65) proj_loss: -0.5238 (-0.5253) time: 0.3621 data: 0.0003 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.973 (6.941) Lt: 6.287 (6.288) Accm: 2.26 (2.35) Acct: 3.60 (3.69) proj_loss: -0.5225 (-0.5252) time: 0.3646 data: 0.0018 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.871 (6.913) Lt: 6.248 (6.258) Accm: 2.31 (2.35) Acct: 3.62 (3.63) proj_loss: -0.5383 (-0.5359) time: 0.3646 data: 0.0016 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.870 (6.869) Lt: 6.178 (6.189) Accm: 2.39 (2.32) Acct: 3.67 (3.65) proj_loss: -0.5162 (-0.5223) time: 0.3646 data: 0.0019 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.989 (6.955) Lt: 6.332 (6.309) Accm: 2.14 (2.20) Acct: 3.31 (3.36) proj_loss: -0.5323 (-0.5322) time: 0.3647 data: 0.0021 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:04 (0.362 s / it) [11-23 00:53:51] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.232), Acc m&t: 2.40 3.73, Remain: 2 days, 2:09:02, Finish: 2024-11-24 11:02 [11-23 00:53:51] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.232), Acc m&t: 2.40 3.73, Remain: 2 days, 2:09:27, Finish: 2024-11-24 11:03 [11-23 00:53:51] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.232), Acc m&t: 2.40 3.73, Remain: 2 days, 2:10:14, Finish: 2024-11-24 11:04 [11-23 00:53:51] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.232), Acc m&t: 2.40 3.73, Remain: 2 days, 2:08:57, Finish: 2024-11-24 11:02 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:47 tlr: 0.00022 tnm: 0.35 Lm: 6.921 (6.921) Lt: 6.237 (6.237) Accm: 2.29 (2.29) Acct: 3.53 (3.53) proj_loss: -0.5302 (-0.5302) time: 0.3518 data: 0.0003 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:47 tlr: 0.00022 tnm: 0.35 Lm: 6.858 (6.858) Lt: 6.141 (6.141) Accm: 2.62 (2.62) Acct: 4.10 (4.10) proj_loss: -0.5056 (-0.5056) time: 0.3521 data: 0.0003 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:48 tlr: 0.00022 tnm: 0.35 Lm: 6.895 (6.895) Lt: 6.251 (6.251) Accm: 2.39 (2.39) Acct: 3.55 (3.55) proj_loss: -0.5296 (-0.5296) time: 0.3524 data: 0.0003 [11-23 00:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:48 tlr: 0.00022 tnm: 0.35 Lm: 6.801 (6.801) Lt: 6.055 (6.055) Accm: 2.73 (2.73) Acct: 4.18 (4.18) proj_loss: -0.5303 (-0.5303) time: 0.3524 data: 0.0004 [11-23 00:56:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:46 tlr: 0.00022 tnm: 0.35 Lm: 6.841 (6.841) Lt: 6.149 (6.149) Accm: 2.60 (2.60) Acct: 3.93 (3.93) proj_loss: -0.5336 (-0.5336) time: 0.3623 data: 0.0003 [11-23 00:56:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:46 tlr: 0.00022 tnm: 0.35 Lm: 6.936 (6.936) Lt: 6.262 (6.262) Accm: 2.35 (2.35) Acct: 3.70 (3.70) proj_loss: -0.5112 (-0.5112) time: 0.3623 data: 0.0003 [11-23 00:56:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:46 tlr: 0.00022 tnm: 0.35 Lm: 6.888 (6.888) Lt: 6.193 (6.193) Accm: 2.33 (2.33) Acct: 3.64 (3.64) proj_loss: -0.5226 (-0.5226) time: 0.3623 data: 0.0002 [11-23 00:56:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:46 tlr: 0.00022 tnm: 0.35 Lm: 6.946 (6.946) Lt: 6.301 (6.301) Accm: 2.34 (2.34) Acct: 3.50 (3.50) proj_loss: -0.5312 (-0.5312) time: 0.3622 data: 0.0003 [11-23 00:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:24 tlr: 0.00022 tnm: 0.35 Lm: 6.895 (6.898) Lt: 6.251 (6.249) Accm: 2.39 (2.48) Acct: 3.55 (3.75) proj_loss: -0.5327 (-0.5319) time: 0.3628 data: 0.0003 [11-23 00:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:24 tlr: 0.00022 tnm: 0.35 Lm: 6.858 (6.892) Lt: 6.153 (6.226) Accm: 2.51 (2.40) Acct: 4.03 (3.81) proj_loss: -0.5169 (-0.5246) time: 0.3628 data: 0.0003 [11-23 00:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:24 tlr: 0.00022 tnm: 0.35 Lm: 6.854 (6.865) Lt: 6.183 (6.190) Accm: 2.37 (2.38) Acct: 3.70 (3.66) proj_loss: -0.5302 (-0.5284) time: 0.3628 data: 0.0002 [11-23 00:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:24 tlr: 0.00022 tnm: 0.35 Lm: 6.842 (6.841) Lt: 6.178 (6.159) Accm: 2.73 (2.68) Acct: 4.18 (4.12) proj_loss: -0.5358 (-0.5343) time: 0.3628 data: 0.0002 [11-23 01:01:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.34 Lm: 6.861 (6.877) Lt: 6.211 (6.202) Accm: 2.60 (2.58) Acct: 3.99 (4.04) proj_loss: -0.5330 (-0.5332) time: 0.3639 data: 0.0003 [11-23 01:01:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.34 Lm: 6.854 (6.882) Lt: 6.160 (6.211) Accm: 2.56 (2.47) Acct: 4.06 (3.92) proj_loss: -0.5283 (-0.5283) time: 0.3640 data: 0.0003 [11-23 01:01:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.34 Lm: 6.878 (6.889) Lt: 6.213 (6.231) Accm: 2.37 (2.44) Acct: 3.52 (3.69) proj_loss: -0.5331 (-0.5370) time: 0.3639 data: 0.0003 [11-23 01:01:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.34 Lm: 6.837 (6.841) Lt: 6.166 (6.169) Accm: 2.42 (2.42) Acct: 3.73 (3.71) proj_loss: -0.5334 (-0.5304) time: 0.3639 data: 0.0002 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.819 (6.829) Lt: 6.148 (6.155) Accm: 2.46 (2.53) Acct: 3.75 (3.88) proj_loss: -0.5359 (-0.5315) time: 0.3648 data: 0.0018 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:26 (0.375 s / it) [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.855 (6.876) Lt: 6.168 (6.209) Accm: 2.51 (2.48) Acct: 4.03 (3.86) proj_loss: -0.5278 (-0.5282) time: 0.3648 data: 0.0017 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.881 (6.893) Lt: 6.243 (6.219) Accm: 2.46 (2.55) Acct: 3.91 (4.01) proj_loss: -0.5358 (-0.5342) time: 0.3648 data: 0.0016 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.36 Lm: 6.869 (6.885) Lt: 6.210 (6.227) Accm: 2.39 (2.47) Acct: 3.55 (3.71) proj_loss: -0.5335 (-0.5364) time: 0.3648 data: 0.0016 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:26 (0.375 s / it) [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:26 (0.375 s / it) [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:26 (0.375 s / it) [11-23 01:04:18] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.901 (6.911), Lt: 6.231 (6.245), Acc m&t: 2.40 3.73, Remain: 2 days, 2:02:49, Finish: 2024-11-24 11:07 [11-23 01:04:18] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.901 (6.911), Lt: 6.231 (6.245), Acc m&t: 2.40 3.73, Remain: 2 days, 2:01:17, Finish: 2024-11-24 11:05 [11-23 01:04:18] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.901 (6.911), Lt: 6.231 (6.245), Acc m&t: 2.40 3.73, Remain: 2 days, 2:02:17, Finish: 2024-11-24 11:06 [11-23 01:04:18] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.901 (6.911), Lt: 6.231 (6.245), Acc m&t: 2.40 3.73, Remain: 2 days, 2:04:25, Finish: 2024-11-24 11:08 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.33 Lm: 6.751 (6.751) Lt: 6.062 (6.062) Accm: 2.73 (2.73) Acct: 4.39 (4.39) proj_loss: -0.5390 (-0.5390) time: 0.3663 data: 0.0004 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:14 tlr: 0.00022 tnm: 0.33 Lm: 7.055 (7.055) Lt: 6.424 (6.424) Accm: 2.08 (2.08) Acct: 3.36 (3.36) proj_loss: -0.5045 (-0.5045) time: 0.3684 data: 0.0003 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:14 tlr: 0.00022 tnm: 0.33 Lm: 7.000 (7.000) Lt: 6.344 (6.344) Accm: 2.17 (2.17) Acct: 3.17 (3.17) proj_loss: -0.5246 (-0.5246) time: 0.3684 data: 0.0003 [11-23 01:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:15 tlr: 0.00022 tnm: 0.33 Lm: 7.070 (7.070) Lt: 6.461 (6.461) Accm: 2.14 (2.14) Acct: 3.20 (3.20) proj_loss: -0.5218 (-0.5218) time: 0.3688 data: 0.0004 [11-23 01:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.35 Lm: 6.999 (6.999) Lt: 6.347 (6.347) Accm: 2.28 (2.28) Acct: 3.53 (3.53) proj_loss: -0.5293 (-0.5293) time: 0.3611 data: 0.0003 [11-23 01:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.35 Lm: 7.009 (7.009) Lt: 6.354 (6.354) Accm: 2.17 (2.17) Acct: 3.28 (3.28) proj_loss: -0.5329 (-0.5329) time: 0.3611 data: 0.0004 [11-23 01:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.35 Lm: 6.784 (6.784) Lt: 6.113 (6.113) Accm: 2.68 (2.68) Acct: 4.23 (4.23) proj_loss: -0.5350 (-0.5350) time: 0.3611 data: 0.0002 [11-23 01:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.35 Lm: 6.957 (6.957) Lt: 6.318 (6.318) Accm: 2.29 (2.29) Acct: 3.68 (3.68) proj_loss: -0.5283 (-0.5283) time: 0.3611 data: 0.0003 [11-23 01:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.32 Lm: 6.872 (6.929) Lt: 6.212 (6.275) Accm: 2.42 (2.33) Acct: 3.89 (3.75) proj_loss: -0.5516 (-0.5361) time: 0.3646 data: 0.0002 [11-23 01:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.32 Lm: 6.928 (6.933) Lt: 6.234 (6.268) Accm: 2.42 (2.41) Acct: 3.86 (3.80) proj_loss: -0.5337 (-0.5308) time: 0.3646 data: 0.0002 [11-23 01:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.32 Lm: 6.788 (6.786) Lt: 6.097 (6.107) Accm: 2.63 (2.65) Acct: 4.06 (4.10) proj_loss: -0.5310 (-0.5329) time: 0.3646 data: 0.0002 [11-23 01:09:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.32 Lm: 7.000 (6.959) Lt: 6.344 (6.303) Accm: 2.17 (2.23) Acct: 3.39 (3.40) proj_loss: -0.5370 (-0.5343) time: 0.3646 data: 0.0003 [11-23 01:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 6.953 (6.946) Lt: 6.273 (6.275) Accm: 2.19 (2.22) Acct: 3.51 (3.46) proj_loss: -0.5382 (-0.5356) time: 0.3611 data: 0.0003 [11-23 01:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 6.929 (6.943) Lt: 6.272 (6.289) Accm: 2.32 (2.30) Acct: 3.75 (3.72) proj_loss: -0.5404 (-0.5343) time: 0.3611 data: 0.0003 [11-23 01:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 6.952 (6.943) Lt: 6.304 (6.295) Accm: 2.33 (2.37) Acct: 3.56 (3.67) proj_loss: -0.5353 (-0.5394) time: 0.3611 data: 0.0003 [11-23 01:11:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 6.803 (6.798) Lt: 6.121 (6.117) Accm: 2.63 (2.64) Acct: 4.03 (4.07) proj_loss: -0.5350 (-0.5366) time: 0.3611 data: 0.0003 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.818 (6.813) Lt: 6.146 (6.136) Accm: 2.62 (2.58) Acct: 3.99 (3.98) proj_loss: -0.5390 (-0.5398) time: 0.3675 data: 0.0019 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.933 (6.941) Lt: 6.252 (6.282) Accm: 2.23 (2.29) Acct: 3.62 (3.67) proj_loss: -0.5400 (-0.5354) time: 0.3675 data: 0.0020 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.906 (6.928) Lt: 6.238 (6.268) Accm: 2.21 (2.30) Acct: 3.63 (3.66) proj_loss: -0.5394 (-0.5367) time: 0.3675 data: 0.0017 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.975 (6.953) Lt: 6.345 (6.305) Accm: 2.42 (2.41) Acct: 3.77 (3.69) proj_loss: -0.5337 (-0.5357) time: 0.3675 data: 0.0018 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:14:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.235), Acc m&t: 2.40 3.75, Remain: 2 days, 2:03:28, Finish: 2024-11-24 11:17 [11-23 01:14:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.235), Acc m&t: 2.40 3.75, Remain: 2 days, 2:03:36, Finish: 2024-11-24 11:17 [11-23 01:14:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.235), Acc m&t: 2.40 3.75, Remain: 2 days, 2:04:35, Finish: 2024-11-24 11:18 [11-23 01:14:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.901 (6.902), Lt: 6.231 (6.235), Acc m&t: 2.40 3.75, Remain: 2 days, 2:01:50, Finish: 2024-11-24 11:16 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:09:37 tlr: 0.00022 tnm: 0.36 Lm: 6.795 (6.795) Lt: 6.086 (6.086) Accm: 2.61 (2.61) Acct: 4.17 (4.17) proj_loss: -0.5269 (-0.5269) time: 0.3459 data: 0.0003 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:09:45 tlr: 0.00022 tnm: 0.36 Lm: 6.837 (6.837) Lt: 6.104 (6.104) Accm: 2.67 (2.67) Acct: 4.25 (4.25) proj_loss: -0.5197 (-0.5197) time: 0.3506 data: 0.0006 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:09:38 tlr: 0.00022 tnm: 0.36 Lm: 6.907 (6.907) Lt: 6.247 (6.247) Accm: 2.23 (2.23) Acct: 3.27 (3.27) proj_loss: -0.5538 (-0.5538) time: 0.3464 data: 0.0004 [11-23 01:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:09:39 tlr: 0.00022 tnm: 0.36 Lm: 6.990 (6.990) Lt: 6.326 (6.326) Accm: 2.29 (2.29) Acct: 3.60 (3.60) proj_loss: -0.5330 (-0.5330) time: 0.3470 data: 0.0004 [11-23 01:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.38 Lm: 6.918 (6.918) Lt: 6.231 (6.231) Accm: 2.42 (2.42) Acct: 3.81 (3.81) proj_loss: -0.5273 (-0.5273) time: 0.3631 data: 0.0002 [11-23 01:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.38 Lm: 6.954 (6.954) Lt: 6.297 (6.297) Accm: 2.26 (2.26) Acct: 3.35 (3.35) proj_loss: -0.5396 (-0.5396) time: 0.3631 data: 0.0003 [11-23 01:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.38 Lm: 6.890 (6.890) Lt: 6.176 (6.176) Accm: 2.49 (2.49) Acct: 3.89 (3.89) proj_loss: -0.5311 (-0.5311) time: 0.3631 data: 0.0002 [11-23 01:16:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:33 tlr: 0.00022 tnm: 0.38 Lm: 6.869 (6.869) Lt: 6.200 (6.200) Accm: 2.32 (2.32) Acct: 3.69 (3.69) proj_loss: -0.5311 (-0.5311) time: 0.3631 data: 0.0002 [11-23 01:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.33 Lm: 6.881 (6.873) Lt: 6.153 (6.185) Accm: 2.61 (2.42) Acct: 4.17 (3.86) proj_loss: -0.5269 (-0.5275) time: 0.3624 data: 0.0002 [11-23 01:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.33 Lm: 6.907 (6.905) Lt: 6.247 (6.249) Accm: 2.29 (2.28) Acct: 3.43 (3.37) proj_loss: -0.5363 (-0.5385) time: 0.3625 data: 0.0002 [11-23 01:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.33 Lm: 6.837 (6.853) Lt: 6.104 (6.123) Accm: 2.67 (2.64) Acct: 4.25 (4.14) proj_loss: -0.5369 (-0.5330) time: 0.3624 data: 0.0002 [11-23 01:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:02 tlr: 0.00022 tnm: 0.33 Lm: 6.882 (6.906) Lt: 6.185 (6.216) Accm: 2.44 (2.43) Acct: 4.01 (3.88) proj_loss: -0.5321 (-0.5289) time: 0.3625 data: 0.0002 [11-23 01:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.884 (6.901) Lt: 6.188 (6.210) Accm: 2.43 (2.43) Acct: 3.87 (3.84) proj_loss: -0.5295 (-0.5284) time: 0.3616 data: 0.0003 [11-23 01:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.952 (6.928) Lt: 6.288 (6.269) Accm: 2.26 (2.25) Acct: 3.43 (3.39) proj_loss: -0.5377 (-0.5386) time: 0.3616 data: 0.0003 [11-23 01:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.890 (6.888) Lt: 6.176 (6.183) Accm: 2.49 (2.49) Acct: 3.89 (3.87) proj_loss: -0.5333 (-0.5322) time: 0.3616 data: 0.0003 [11-23 01:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.34 Lm: 6.912 (6.894) Lt: 6.222 (6.211) Accm: 2.42 (2.37) Acct: 3.87 (3.79) proj_loss: -0.5304 (-0.5291) time: 0.3616 data: 0.0002 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 6.881 (6.887) Lt: 6.173 (6.203) Accm: 2.32 (2.36) Acct: 3.72 (3.77) proj_loss: -0.5340 (-0.5331) time: 0.3606 data: 0.0015 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:03 (0.362 s / it) [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 6.882 (6.883) Lt: 6.185 (6.191) Accm: 2.44 (2.46) Acct: 4.01 (3.89) proj_loss: -0.5321 (-0.5297) time: 0.3606 data: 0.0017 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 6.907 (6.913) Lt: 6.247 (6.255) Accm: 2.29 (2.31) Acct: 3.43 (3.51) proj_loss: -0.5363 (-0.5365) time: 0.3606 data: 0.0016 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 6.845 (6.879) Lt: 6.154 (6.177) Accm: 2.53 (2.50) Acct: 4.13 (3.93) proj_loss: -0.5297 (-0.5307) time: 0.3607 data: 0.0019 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:03 (0.362 s / it) [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:03 (0.362 s / it) [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:03 (0.362 s / it) [11-23 01:24:27] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.212), Acc m&t: 2.41 3.76, Remain: 2 days, 1:10:44, Finish: 2024-11-24 10:35 [11-23 01:24:27] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.212), Acc m&t: 2.41 3.76, Remain: 2 days, 1:11:10, Finish: 2024-11-24 10:35 [11-23 01:24:27] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.212), Acc m&t: 2.41 3.76, Remain: 2 days, 1:09:40, Finish: 2024-11-24 10:34 [11-23 01:24:27] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.212), Acc m&t: 2.41 3.76, Remain: 2 days, 1:09:03, Finish: 2024-11-24 10:33 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:39 tlr: 0.00022 tnm: 0.33 Lm: 6.940 (6.940) Lt: 6.301 (6.301) Accm: 2.20 (2.20) Acct: 3.32 (3.32) proj_loss: -0.5252 (-0.5252) time: 0.3470 data: 0.0003 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:38 tlr: 0.00022 tnm: 0.33 Lm: 7.035 (7.035) Lt: 6.392 (6.392) Accm: 2.02 (2.02) Acct: 3.25 (3.25) proj_loss: -0.5264 (-0.5264) time: 0.3469 data: 0.0003 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:35 tlr: 0.00022 tnm: 0.33 Lm: 6.970 (6.970) Lt: 6.311 (6.311) Accm: 2.35 (2.35) Acct: 3.74 (3.74) proj_loss: -0.5371 (-0.5371) time: 0.3451 data: 0.0004 [11-23 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:40 tlr: 0.00022 tnm: 0.33 Lm: 6.971 (6.971) Lt: 6.352 (6.352) Accm: 1.95 (1.95) Acct: 2.86 (2.86) proj_loss: -0.5339 (-0.5339) time: 0.3480 data: 0.0002 [11-23 01:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:08:19 tlr: 0.00022 tnm: 0.36 Lm: 6.861 (6.861) Lt: 6.196 (6.196) Accm: 2.42 (2.42) Acct: 3.69 (3.69) proj_loss: -0.5323 (-0.5323) time: 0.4951 data: 0.0002 [11-23 01:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:08:19 tlr: 0.00022 tnm: 0.36 Lm: 6.997 (6.997) Lt: 6.352 (6.352) Accm: 2.09 (2.09) Acct: 3.27 (3.27) proj_loss: -0.5318 (-0.5318) time: 0.4951 data: 0.0003 [11-23 01:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:08:19 tlr: 0.00022 tnm: 0.36 Lm: 6.976 (6.976) Lt: 6.301 (6.301) Accm: 2.09 (2.09) Acct: 3.33 (3.33) proj_loss: -0.5406 (-0.5406) time: 0.4951 data: 0.0003 [11-23 01:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:08:19 tlr: 0.00022 tnm: 0.36 Lm: 6.994 (6.994) Lt: 6.328 (6.328) Accm: 2.14 (2.14) Acct: 3.37 (3.37) proj_loss: -0.5375 (-0.5375) time: 0.4951 data: 0.0003 [11-23 01:29:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.34 Lm: 6.970 (6.914) Lt: 6.311 (6.223) Accm: 2.35 (2.33) Acct: 3.74 (3.76) proj_loss: -0.5379 (-0.5383) time: 0.3645 data: 0.0003 [11-23 01:29:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.34 Lm: 6.960 (6.956) Lt: 6.311 (6.313) Accm: 2.16 (2.12) Acct: 3.29 (3.39) proj_loss: -0.5371 (-0.5340) time: 0.3645 data: 0.0003 [11-23 01:29:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.34 Lm: 6.884 (6.868) Lt: 6.272 (6.221) Accm: 2.37 (2.40) Acct: 3.24 (3.54) proj_loss: -0.5339 (-0.5330) time: 0.3645 data: 0.0002 [11-23 01:29:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.34 Lm: 6.940 (6.930) Lt: 6.301 (6.260) Accm: 2.20 (2.21) Acct: 3.34 (3.40) proj_loss: -0.5482 (-0.5431) time: 0.3645 data: 0.0002 [11-23 01:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.38 Lm: 6.966 (6.945) Lt: 6.301 (6.275) Accm: 2.24 (2.23) Acct: 3.44 (3.45) proj_loss: -0.5384 (-0.5395) time: 0.3633 data: 0.0002 [11-23 01:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.38 Lm: 6.955 (6.955) Lt: 6.298 (6.306) Accm: 2.12 (2.11) Acct: 3.31 (3.37) proj_loss: -0.5369 (-0.5347) time: 0.3632 data: 0.0003 [11-23 01:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.38 Lm: 6.817 (6.827) Lt: 6.156 (6.175) Accm: 2.40 (2.41) Acct: 3.37 (3.53) proj_loss: -0.5323 (-0.5314) time: 0.3632 data: 0.0003 [11-23 01:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.38 Lm: 6.905 (6.896) Lt: 6.235 (6.207) Accm: 2.50 (2.41) Acct: 3.97 (3.87) proj_loss: -0.5389 (-0.5403) time: 0.3632 data: 0.0003 [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.905 (6.897) Lt: 6.186 (6.203) Accm: 2.35 (2.39) Acct: 3.81 (3.86) proj_loss: -0.5379 (-0.5355) time: 0.3662 data: 0.0019 [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:28 (0.377 s / it) [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.940 (6.924) Lt: 6.301 (6.259) Accm: 2.28 (2.26) Acct: 3.55 (3.52) proj_loss: -0.5482 (-0.5424) time: 0.3662 data: 0.0019 [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.950 (6.952) Lt: 6.290 (6.303) Accm: 2.11 (2.11) Acct: 3.29 (3.35) proj_loss: -0.5371 (-0.5354) time: 0.3662 data: 0.0019 [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.884 (6.847) Lt: 6.253 (6.191) Accm: 2.37 (2.38) Acct: 3.51 (3.55) proj_loss: -0.5339 (-0.5323) time: 0.3662 data: 0.0018 [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:28 (0.377 s / it) [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:28 (0.377 s / it) [11-23 01:34:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:28 (0.377 s / it) [11-23 01:34:55] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.890 (6.891), Lt: 6.212 (6.222), Acc m&t: 2.41 3.76, Remain: 2 days, 1:37:47, Finish: 2024-11-24 11:12 [11-23 01:34:55] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.890 (6.891), Lt: 6.212 (6.222), Acc m&t: 2.41 3.76, Remain: 2 days, 1:38:54, Finish: 2024-11-24 11:13 [11-23 01:34:55] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.890 (6.891), Lt: 6.212 (6.222), Acc m&t: 2.41 3.76, Remain: 2 days, 1:37:43, Finish: 2024-11-24 11:12 [11-23 01:34:55] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.890 (6.891), Lt: 6.212 (6.222), Acc m&t: 2.41 3.76, Remain: 2 days, 1:38:03, Finish: 2024-11-24 11:12 [11-23 01:34:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:52 tlr: 0.00021 tnm: 0.35 Lm: 6.900 (6.900) Lt: 6.229 (6.229) Accm: 2.33 (2.33) Acct: 3.70 (3.70) proj_loss: -0.5349 (-0.5349) time: 0.3550 data: 0.0004 [11-23 01:34:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:53 tlr: 0.00021 tnm: 0.35 Lm: 6.881 (6.881) Lt: 6.142 (6.142) Accm: 2.48 (2.48) Acct: 3.58 (3.58) proj_loss: -0.5328 (-0.5328) time: 0.3555 data: 0.0003 [11-23 01:34:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:53 tlr: 0.00021 tnm: 0.35 Lm: 6.963 (6.963) Lt: 6.349 (6.349) Accm: 2.27 (2.27) Acct: 3.39 (3.39) proj_loss: -0.5358 (-0.5358) time: 0.3554 data: 0.0003 [11-23 01:34:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:52 tlr: 0.00021 tnm: 0.35 Lm: 6.802 (6.802) Lt: 6.101 (6.101) Accm: 2.55 (2.55) Acct: 4.15 (4.15) proj_loss: -0.5324 (-0.5324) time: 0.3550 data: 0.0003 [11-23 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:34 tlr: 0.00021 tnm: 0.37 Lm: 6.846 (6.846) Lt: 6.151 (6.151) Accm: 2.49 (2.49) Acct: 3.99 (3.99) proj_loss: -0.5360 (-0.5360) time: 0.3649 data: 0.0002 [11-23 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:34 tlr: 0.00021 tnm: 0.37 Lm: 6.789 (6.789) Lt: 6.069 (6.069) Accm: 2.71 (2.71) Acct: 4.42 (4.42) proj_loss: -0.5377 (-0.5377) time: 0.3649 data: 0.0003 [11-23 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:34 tlr: 0.00021 tnm: 0.37 Lm: 6.904 (6.904) Lt: 6.194 (6.194) Accm: 2.32 (2.32) Acct: 3.43 (3.43) proj_loss: -0.5404 (-0.5404) time: 0.3649 data: 0.0002 [11-23 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:34 tlr: 0.00021 tnm: 0.37 Lm: 6.825 (6.825) Lt: 6.188 (6.188) Accm: 2.60 (2.60) Acct: 3.88 (3.88) proj_loss: -0.5496 (-0.5496) time: 0.3649 data: 0.0003 [11-23 01:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:03 tlr: 0.00021 tnm: 0.35 Lm: 6.921 (6.857) Lt: 6.252 (6.210) Accm: 2.29 (2.50) Acct: 3.39 (3.71) proj_loss: -0.5417 (-0.5470) time: 0.3627 data: 0.0003 [11-23 01:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:03 tlr: 0.00021 tnm: 0.35 Lm: 6.822 (6.800) Lt: 6.149 (6.095) Accm: 2.72 (2.71) Acct: 4.08 (4.30) proj_loss: -0.5349 (-0.5333) time: 0.3627 data: 0.0003 [11-23 01:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:03 tlr: 0.00021 tnm: 0.35 Lm: 6.890 (6.874) Lt: 6.201 (6.187) Accm: 2.43 (2.42) Acct: 3.82 (3.84) proj_loss: -0.5396 (-0.5390) time: 0.3627 data: 0.0002 [11-23 01:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:03 tlr: 0.00021 tnm: 0.35 Lm: 6.915 (6.907) Lt: 6.235 (6.208) Accm: 2.27 (2.30) Acct: 3.48 (3.45) proj_loss: -0.5375 (-0.5395) time: 0.3627 data: 0.0003 [11-23 01:42:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.921 (6.916) Lt: 6.233 (6.214) Accm: 2.36 (2.34) Acct: 3.53 (3.50) proj_loss: -0.5363 (-0.5383) time: 0.3633 data: 0.0003 [11-23 01:42:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.870 (6.868) Lt: 6.188 (6.184) Accm: 2.47 (2.44) Acct: 3.81 (3.83) proj_loss: -0.5360 (-0.5350) time: 0.3633 data: 0.0002 [11-23 01:42:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.861 (6.826) Lt: 6.189 (6.139) Accm: 2.58 (2.64) Acct: 3.91 (4.16) proj_loss: -0.5372 (-0.5348) time: 0.3633 data: 0.0002 [11-23 01:42:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.908 (6.866) Lt: 6.207 (6.198) Accm: 2.37 (2.49) Acct: 3.61 (3.74) proj_loss: -0.5388 (-0.5397) time: 0.3633 data: 0.0003 [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.921 (6.881) Lt: 6.252 (6.209) Accm: 2.45 (2.49) Acct: 3.67 (3.73) proj_loss: -0.5358 (-0.5386) time: 0.3618 data: 0.0016 [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.822 (6.816) Lt: 6.153 (6.142) Accm: 2.71 (2.66) Acct: 3.91 (4.11) proj_loss: -0.5349 (-0.5348) time: 0.3618 data: 0.0016 [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.927 (6.931) Lt: 6.235 (6.247) Accm: 2.27 (2.29) Acct: 3.48 (3.42) proj_loss: -0.5375 (-0.5397) time: 0.3618 data: 0.0019 [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.890 (6.899) Lt: 6.201 (6.229) Accm: 2.43 (2.34) Acct: 3.81 (3.68) proj_loss: -0.5396 (-0.5396) time: 0.3618 data: 0.0015 [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:45:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:47:02] (home/user/VAR/trainer.py, line 114)=> FID: 5.754530126645932 [11-23 01:47:02] (/home/user/VAR/train.py , line 259)=> [*] [ep59] (val 50000) Lm: 6.8899, Lt: 6.2184, Acc m&t: 2.41 3.74, Val cost: 120.97s [11-23 01:47:02] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 01:47:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.218), Acc m&t: 2.41 3.76, Remain: 2 days, 0:54:54, Finish: 2024-11-24 10:39 [11-23 01:47:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.218), Acc m&t: 2.41 3.76, Remain: 2 days, 0:56:19, Finish: 2024-11-24 10:41 [11-23 01:47:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.218), Acc m&t: 2.41 3.76, Remain: 2 days, 0:55:25, Finish: 2024-11-24 10:40 [11-23 01:47:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.890 (6.890), Lt: 6.212 (6.218), Acc m&t: 2.41 3.76, Remain: 2 days, 0:55:31, Finish: 2024-11-24 10:40 [11-23 01:47:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:09:55 tlr: 0.00021 tnm: 0.32 Lm: 6.994 (6.994) Lt: 6.350 (6.350) Accm: 2.13 (2.13) Acct: 3.24 (3.24) proj_loss: -0.5469 (-0.5469) time: 0.3571 data: 0.0003 [11-23 01:47:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:09:56 tlr: 0.00021 tnm: 0.32 Lm: 7.004 (7.004) Lt: 6.349 (6.349) Accm: 1.99 (1.99) Acct: 3.24 (3.24) proj_loss: -0.5394 (-0.5394) time: 0.3576 data: 0.0004 [11-23 01:47:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:09:55 tlr: 0.00021 tnm: 0.32 Lm: 6.838 (6.838) Lt: 6.159 (6.159) Accm: 2.37 (2.37) Acct: 3.75 (3.75) proj_loss: -0.5329 (-0.5329) time: 0.3568 data: 0.0003 [11-23 01:47:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:09:56 tlr: 0.00021 tnm: 0.32 Lm: 6.945 (6.945) Lt: 6.297 (6.297) Accm: 2.30 (2.30) Acct: 3.62 (3.62) proj_loss: -0.5228 (-0.5228) time: 0.3574 data: 0.0004 [11-23 01:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.31 Lm: 6.881 (6.881) Lt: 6.205 (6.205) Accm: 2.48 (2.48) Acct: 3.89 (3.89) proj_loss: -0.5262 (-0.5262) time: 0.3602 data: 0.0002 [11-23 01:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.31 Lm: 6.964 (6.964) Lt: 6.312 (6.312) Accm: 2.26 (2.26) Acct: 3.45 (3.45) proj_loss: -0.5389 (-0.5389) time: 0.3602 data: 0.0003 [11-23 01:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.31 Lm: 6.913 (6.913) Lt: 6.244 (6.244) Accm: 2.27 (2.27) Acct: 3.68 (3.68) proj_loss: -0.5359 (-0.5359) time: 0.3602 data: 0.0002 [11-23 01:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.31 Lm: 6.931 (6.931) Lt: 6.271 (6.271) Accm: 2.26 (2.26) Acct: 3.54 (3.54) proj_loss: -0.5410 (-0.5410) time: 0.3602 data: 0.0003 [11-23 01:52:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.31 Lm: 6.944 (6.936) Lt: 6.259 (6.267) Accm: 2.38 (2.30) Acct: 3.62 (3.56) proj_loss: -0.5394 (-0.5359) time: 0.3641 data: 0.0003 [11-23 01:52:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.31 Lm: 6.988 (6.939) Lt: 6.328 (6.292) Accm: 2.18 (2.22) Acct: 3.60 (3.53) proj_loss: -0.5388 (-0.5435) time: 0.3641 data: 0.0003 [11-23 01:52:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.31 Lm: 6.866 (6.876) Lt: 6.150 (6.187) Accm: 2.62 (2.52) Acct: 3.91 (3.90) proj_loss: -0.5296 (-0.5274) time: 0.3641 data: 0.0003 [11-23 01:52:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.31 Lm: 6.933 (6.938) Lt: 6.275 (6.273) Accm: 2.39 (2.31) Acct: 3.67 (3.65) proj_loss: -0.5469 (-0.5429) time: 0.3642 data: 0.0003 [11-23 01:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.910 (6.905) Lt: 6.235 (6.239) Accm: 2.40 (2.38) Acct: 3.73 (3.68) proj_loss: -0.5468 (-0.5438) time: 0.3653 data: 0.0003 [11-23 01:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.913 (6.910) Lt: 6.259 (6.266) Accm: 2.27 (2.34) Acct: 3.68 (3.69) proj_loss: -0.5410 (-0.5435) time: 0.3653 data: 0.0003 [11-23 01:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.906 (6.908) Lt: 6.223 (6.228) Accm: 2.46 (2.44) Acct: 3.76 (3.80) proj_loss: -0.5297 (-0.5301) time: 0.3653 data: 0.0003 [11-23 01:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.955 (6.943) Lt: 6.282 (6.276) Accm: 2.38 (2.32) Acct: 3.73 (3.64) proj_loss: -0.5410 (-0.5377) time: 0.3653 data: 0.0003 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.944 (6.934) Lt: 6.259 (6.257) Accm: 2.37 (2.32) Acct: 3.62 (3.63) proj_loss: -0.5426 (-0.5398) time: 0.3671 data: 0.0018 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.887 (6.896) Lt: 6.195 (6.224) Accm: 2.41 (2.45) Acct: 3.79 (3.78) proj_loss: -0.5467 (-0.5406) time: 0.3671 data: 0.0019 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.838 (6.893) Lt: 6.190 (6.242) Accm: 2.37 (2.41) Acct: 3.75 (3.76) proj_loss: -0.5388 (-0.5407) time: 0.3671 data: 0.0015 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.873 (6.901) Lt: 6.183 (6.219) Accm: 2.42 (2.44) Acct: 3.62 (3.76) proj_loss: -0.5297 (-0.5328) time: 0.3671 data: 0.0016 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:05 (0.363 s / it) [11-23 01:57:21] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.890 (6.897), Lt: 6.212 (6.223), Acc m&t: 2.41 3.76, Remain: 2 days, 1:15:34, Finish: 2024-11-24 11:12 [11-23 01:57:21] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.890 (6.897), Lt: 6.212 (6.223), Acc m&t: 2.41 3.76, Remain: 2 days, 1:17:06, Finish: 2024-11-24 11:14 [11-23 01:57:21] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.890 (6.897), Lt: 6.212 (6.223), Acc m&t: 2.41 3.76, Remain: 2 days, 1:17:18, Finish: 2024-11-24 11:14 [11-23 01:57:21] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.890 (6.897), Lt: 6.212 (6.223), Acc m&t: 2.41 3.76, Remain: 2 days, 1:16:01, Finish: 2024-11-24 11:13 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:09:30 tlr: 0.00021 tnm: 0.35 Lm: 6.877 (6.877) Lt: 6.221 (6.221) Accm: 2.29 (2.29) Acct: 3.67 (3.67) proj_loss: -0.5385 (-0.5385) time: 0.3418 data: 0.0003 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:09:30 tlr: 0.00021 tnm: 0.35 Lm: 6.792 (6.792) Lt: 6.106 (6.106) Accm: 2.50 (2.50) Acct: 3.93 (3.93) proj_loss: -0.5486 (-0.5486) time: 0.3420 data: 0.0004 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:09:31 tlr: 0.00021 tnm: 0.35 Lm: 6.845 (6.845) Lt: 6.122 (6.122) Accm: 2.51 (2.51) Acct: 3.96 (3.96) proj_loss: -0.5292 (-0.5292) time: 0.3425 data: 0.0004 [11-23 01:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:09:31 tlr: 0.00021 tnm: 0.35 Lm: 7.059 (7.059) Lt: 6.463 (6.463) Accm: 2.08 (2.08) Acct: 3.13 (3.13) proj_loss: -0.5456 (-0.5456) time: 0.3426 data: 0.0004 [11-23 02:00:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:08:32 tlr: 0.00021 tnm: 0.35 Lm: 6.979 (6.979) Lt: 6.346 (6.346) Accm: 2.27 (2.27) Acct: 3.47 (3.47) proj_loss: -0.5413 (-0.5413) time: 0.3654 data: 0.0003 [11-23 02:00:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:08:32 tlr: 0.00021 tnm: 0.35 Lm: 6.893 (6.893) Lt: 6.248 (6.248) Accm: 2.39 (2.39) Acct: 3.82 (3.82) proj_loss: -0.5375 (-0.5375) time: 0.3654 data: 0.0002 [11-23 02:00:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:08:32 tlr: 0.00021 tnm: 0.35 Lm: 6.876 (6.876) Lt: 6.193 (6.193) Accm: 2.39 (2.39) Acct: 3.62 (3.62) proj_loss: -0.5401 (-0.5401) time: 0.3654 data: 0.0002 [11-23 02:00:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:08:32 tlr: 0.00021 tnm: 0.35 Lm: 6.762 (6.762) Lt: 6.065 (6.065) Accm: 2.72 (2.72) Acct: 4.22 (4.22) proj_loss: -0.5369 (-0.5369) time: 0.3654 data: 0.0003 [11-23 02:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.36 Lm: 6.792 (6.774) Lt: 6.106 (6.089) Accm: 2.50 (2.62) Acct: 3.93 (4.02) proj_loss: -0.5356 (-0.5365) time: 0.3612 data: 0.0003 [11-23 02:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.36 Lm: 6.877 (6.860) Lt: 6.221 (6.200) Accm: 2.48 (2.51) Acct: 3.98 (4.01) proj_loss: -0.5385 (-0.5402) time: 0.3612 data: 0.0003 [11-23 02:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.36 Lm: 6.881 (6.878) Lt: 6.210 (6.199) Accm: 2.51 (2.44) Acct: 3.96 (3.75) proj_loss: -0.5510 (-0.5492) time: 0.3612 data: 0.0002 [11-23 02:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.36 Lm: 6.986 (6.981) Lt: 6.372 (6.355) Accm: 2.16 (2.23) Acct: 3.31 (3.41) proj_loss: -0.5456 (-0.5434) time: 0.3613 data: 0.0003 [11-23 02:05:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.952 (6.965) Lt: 6.313 (6.329) Accm: 2.25 (2.26) Acct: 3.51 (3.49) proj_loss: -0.5466 (-0.5467) time: 0.3604 data: 0.0003 [11-23 02:05:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.855 (6.854) Lt: 6.206 (6.198) Accm: 2.42 (2.47) Acct: 3.82 (3.93) proj_loss: -0.5401 (-0.5406) time: 0.3604 data: 0.0003 [11-23 02:05:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.795 (6.805) Lt: 6.122 (6.110) Accm: 2.52 (2.60) Acct: 3.93 (4.00) proj_loss: -0.5421 (-0.5402) time: 0.3604 data: 0.0003 [11-23 02:05:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.863 (6.854) Lt: 6.166 (6.174) Accm: 2.52 (2.55) Acct: 3.99 (3.93) proj_loss: -0.5558 (-0.5520) time: 0.3604 data: 0.0003 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.845 (6.843) Lt: 6.127 (6.164) Accm: 2.51 (2.54) Acct: 4.03 (3.99) proj_loss: -0.5510 (-0.5490) time: 0.3638 data: 0.0016 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.798 (6.804) Lt: 6.106 (6.090) Accm: 2.55 (2.65) Acct: 3.93 (4.16) proj_loss: -0.5356 (-0.5390) time: 0.3638 data: 0.0016 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.927 (6.958) Lt: 6.275 (6.318) Accm: 2.35 (2.30) Acct: 3.70 (3.53) proj_loss: -0.5456 (-0.5449) time: 0.3638 data: 0.0019 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.852 (6.853) Lt: 6.210 (6.200) Accm: 2.37 (2.42) Acct: 3.67 (3.81) proj_loss: -0.5385 (-0.5395) time: 0.3638 data: 0.0018 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:07:49] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.884 (6.884), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 0:45:09, Finish: 2024-11-24 10:52 [11-23 02:07:49] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.884 (6.884), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 0:46:17, Finish: 2024-11-24 10:54 [11-23 02:07:49] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.884 (6.884), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 0:46:58, Finish: 2024-11-24 10:54 [11-23 02:07:49] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.884 (6.884), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 0:45:05, Finish: 2024-11-24 10:52 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:09:43 tlr: 0.00021 tnm: 0.35 Lm: 6.949 (6.949) Lt: 6.326 (6.326) Accm: 2.19 (2.19) Acct: 3.34 (3.34) proj_loss: -0.5443 (-0.5443) time: 0.3498 data: 0.0004 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:09:39 tlr: 0.00021 tnm: 0.35 Lm: 7.000 (7.000) Lt: 6.349 (6.349) Accm: 1.94 (1.94) Acct: 2.96 (2.96) proj_loss: -0.5406 (-0.5406) time: 0.3471 data: 0.0004 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:09:42 tlr: 0.00021 tnm: 0.35 Lm: 6.942 (6.942) Lt: 6.279 (6.279) Accm: 2.32 (2.32) Acct: 3.75 (3.75) proj_loss: -0.5570 (-0.5570) time: 0.3491 data: 0.0004 [11-23 02:07:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:09:43 tlr: 0.00021 tnm: 0.35 Lm: 6.810 (6.810) Lt: 6.180 (6.180) Accm: 2.40 (2.40) Acct: 3.56 (3.56) proj_loss: -0.5580 (-0.5580) time: 0.3499 data: 0.0004 [11-23 02:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.849 (6.849) Lt: 6.195 (6.195) Accm: 2.31 (2.31) Acct: 3.48 (3.48) proj_loss: -0.5446 (-0.5446) time: 0.3641 data: 0.0003 [11-23 02:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.998 (6.998) Lt: 6.325 (6.325) Accm: 2.12 (2.12) Acct: 3.40 (3.40) proj_loss: -0.5387 (-0.5387) time: 0.3641 data: 0.0003 [11-23 02:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.830 (6.830) Lt: 6.152 (6.152) Accm: 2.56 (2.56) Acct: 4.12 (4.12) proj_loss: -0.5599 (-0.5599) time: 0.3641 data: 0.0002 [11-23 02:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.932 (6.932) Lt: 6.290 (6.290) Accm: 2.19 (2.19) Acct: 3.34 (3.34) proj_loss: -0.5469 (-0.5469) time: 0.3641 data: 0.0003 [11-23 02:12:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.34 Lm: 6.915 (6.897) Lt: 6.254 (6.245) Accm: 2.19 (2.35) Acct: 3.34 (3.55) proj_loss: -0.5443 (-0.5460) time: 0.3636 data: 0.0003 [11-23 02:12:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.34 Lm: 6.997 (6.915) Lt: 6.301 (6.239) Accm: 2.29 (2.34) Acct: 3.84 (3.68) proj_loss: -0.5369 (-0.5381) time: 0.3636 data: 0.0002 [11-23 02:12:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.34 Lm: 6.887 (6.890) Lt: 6.211 (6.231) Accm: 2.36 (2.33) Acct: 3.56 (3.55) proj_loss: -0.5461 (-0.5451) time: 0.3636 data: 0.0003 [11-23 02:12:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.34 Lm: 6.942 (6.872) Lt: 6.279 (6.201) Accm: 2.32 (2.41) Acct: 3.75 (3.85) proj_loss: -0.5570 (-0.5568) time: 0.3636 data: 0.0002 [11-23 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.37 Lm: 6.866 (6.852) Lt: 6.185 (6.174) Accm: 2.56 (2.51) Acct: 4.11 (4.00) proj_loss: -0.5539 (-0.5492) time: 0.3609 data: 0.0002 [11-23 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.37 Lm: 6.919 (6.897) Lt: 6.219 (6.213) Accm: 2.51 (2.44) Acct: 3.99 (3.80) proj_loss: -0.5387 (-0.5430) time: 0.3609 data: 0.0003 [11-23 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.37 Lm: 6.932 (6.912) Lt: 6.290 (6.269) Accm: 2.23 (2.33) Acct: 3.49 (3.57) proj_loss: -0.5469 (-0.5492) time: 0.3609 data: 0.0003 [11-23 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.37 Lm: 6.900 (6.896) Lt: 6.257 (6.251) Accm: 2.29 (2.28) Acct: 3.48 (3.46) proj_loss: -0.5495 (-0.5470) time: 0.3609 data: 0.0002 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.914 (6.905) Lt: 6.258 (6.252) Accm: 2.34 (2.29) Acct: 3.56 (3.50) proj_loss: -0.5461 (-0.5431) time: 0.3652 data: 0.0015 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.842 (6.860) Lt: 6.136 (6.192) Accm: 2.73 (2.55) Acct: 4.15 (3.96) proj_loss: -0.5406 (-0.5511) time: 0.3652 data: 0.0016 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.898 (6.861) Lt: 6.212 (6.181) Accm: 2.32 (2.47) Acct: 3.75 (3.89) proj_loss: -0.5508 (-0.5471) time: 0.3652 data: 0.0016 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.949 (6.924) Lt: 6.326 (6.282) Accm: 2.21 (2.30) Acct: 3.34 (3.50) proj_loss: -0.5443 (-0.5457) time: 0.3652 data: 0.0017 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:17:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.884 (6.889), Lt: 6.212 (6.216), Acc m&t: 2.42 3.79, Remain: 2 days, 0:39:12, Finish: 2024-11-24 10:57 [11-23 02:17:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.884 (6.889), Lt: 6.212 (6.216), Acc m&t: 2.42 3.79, Remain: 2 days, 0:39:18, Finish: 2024-11-24 10:57 [11-23 02:17:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.884 (6.889), Lt: 6.212 (6.216), Acc m&t: 2.42 3.79, Remain: 2 days, 0:39:38, Finish: 2024-11-24 10:57 [11-23 02:17:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.884 (6.889), Lt: 6.212 (6.216), Acc m&t: 2.42 3.79, Remain: 2 days, 0:39:08, Finish: 2024-11-24 10:57 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.34 Lm: 6.952 (6.952) Lt: 6.349 (6.349) Accm: 2.11 (2.11) Acct: 3.25 (3.25) proj_loss: -0.5663 (-0.5663) time: 0.3406 data: 0.0003 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.34 Lm: 6.917 (6.917) Lt: 6.227 (6.227) Accm: 2.22 (2.22) Acct: 3.50 (3.50) proj_loss: -0.5475 (-0.5475) time: 0.3407 data: 0.0003 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:29 tlr: 0.00021 tnm: 0.34 Lm: 6.734 (6.734) Lt: 6.038 (6.038) Accm: 2.84 (2.84) Acct: 4.42 (4.42) proj_loss: -0.5590 (-0.5590) time: 0.3411 data: 0.0004 [11-23 02:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.34 Lm: 6.827 (6.827) Lt: 6.076 (6.076) Accm: 2.63 (2.63) Acct: 4.24 (4.24) proj_loss: -0.5400 (-0.5400) time: 0.3407 data: 0.0003 [11-23 02:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.863 (6.863) Lt: 6.176 (6.176) Accm: 2.58 (2.58) Acct: 4.07 (4.07) proj_loss: -0.5374 (-0.5374) time: 0.3623 data: 0.0002 [11-23 02:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.965 (6.965) Lt: 6.271 (6.271) Accm: 2.21 (2.21) Acct: 3.48 (3.48) proj_loss: -0.5461 (-0.5461) time: 0.3623 data: 0.0003 [11-23 02:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.839 (6.839) Lt: 6.207 (6.207) Accm: 2.43 (2.43) Acct: 3.74 (3.74) proj_loss: -0.5492 (-0.5492) time: 0.3623 data: 0.0003 [11-23 02:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.816 (6.816) Lt: 6.113 (6.113) Accm: 2.56 (2.56) Acct: 4.09 (4.09) proj_loss: -0.5452 (-0.5452) time: 0.3623 data: 0.0003 [11-23 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.839 (6.823) Lt: 6.169 (6.131) Accm: 2.48 (2.53) Acct: 3.75 (3.95) proj_loss: -0.5341 (-0.5415) time: 0.3636 data: 0.0003 [11-23 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.889 (6.856) Lt: 6.183 (6.199) Accm: 2.30 (2.39) Acct: 3.72 (3.73) proj_loss: -0.5393 (-0.5459) time: 0.3636 data: 0.0003 [11-23 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.917 (6.934) Lt: 6.227 (6.226) Accm: 2.22 (2.23) Acct: 3.50 (3.60) proj_loss: -0.5448 (-0.5417) time: 0.3636 data: 0.0003 [11-23 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.899 (6.903) Lt: 6.276 (6.221) Accm: 2.52 (2.53) Acct: 3.91 (3.98) proj_loss: -0.5347 (-0.5346) time: 0.3636 data: 0.0002 [11-23 02:25:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 6.895 (6.900) Lt: 6.241 (6.217) Accm: 2.53 (2.53) Acct: 3.85 (3.93) proj_loss: -0.5366 (-0.5356) time: 0.3642 data: 0.0003 [11-23 02:25:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 6.849 (6.844) Lt: 6.162 (6.184) Accm: 2.43 (2.43) Acct: 3.94 (3.84) proj_loss: -0.5495 (-0.5493) time: 0.3642 data: 0.0002 [11-23 02:25:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 6.895 (6.919) Lt: 6.225 (6.226) Accm: 2.25 (2.29) Acct: 3.66 (3.65) proj_loss: -0.5461 (-0.5463) time: 0.3642 data: 0.0003 [11-23 02:25:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 6.868 (6.856) Lt: 6.178 (6.166) Accm: 2.38 (2.47) Acct: 3.72 (3.88) proj_loss: -0.5392 (-0.5422) time: 0.3642 data: 0.0007 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.839 (6.850) Lt: 6.169 (6.165) Accm: 2.48 (2.49) Acct: 3.75 (3.87) proj_loss: -0.5412 (-0.5420) time: 0.3679 data: 0.0016 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:05 (0.363 s / it) [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.892 (6.913) Lt: 6.227 (6.232) Accm: 2.28 (2.32) Acct: 3.50 (3.62) proj_loss: -0.5475 (-0.5493) time: 0.3679 data: 0.0019 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.889 (6.876) Lt: 6.183 (6.222) Accm: 2.30 (2.40) Acct: 3.72 (3.76) proj_loss: -0.5590 (-0.5513) time: 0.3679 data: 0.0015 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.891 (6.896) Lt: 6.207 (6.215) Accm: 2.52 (2.49) Acct: 3.91 (3.93) proj_loss: -0.5385 (-0.5404) time: 0.3679 data: 0.0018 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:05 (0.363 s / it) [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:05 (0.363 s / it) [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:05 (0.363 s / it) [11-23 02:27:59] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 1:01:20, Finish: 2024-11-24 11:29 [11-23 02:27:59] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 1:00:46, Finish: 2024-11-24 11:28 [11-23 02:27:59] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 1:01:13, Finish: 2024-11-24 11:29 [11-23 02:27:59] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.214), Acc m&t: 2.42 3.79, Remain: 2 days, 1:01:43, Finish: 2024-11-24 11:29 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:10:22 tlr: 0.00021 tnm: 0.36 Lm: 6.703 (6.703) Lt: 5.988 (5.988) Accm: 2.95 (2.95) Acct: 4.49 (4.49) proj_loss: -0.5444 (-0.5444) time: 0.3729 data: 0.0003 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:10:22 tlr: 0.00021 tnm: 0.36 Lm: 6.908 (6.908) Lt: 6.231 (6.231) Accm: 2.14 (2.14) Acct: 3.39 (3.39) proj_loss: -0.5434 (-0.5434) time: 0.3727 data: 0.0004 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:10:23 tlr: 0.00021 tnm: 0.36 Lm: 6.619 (6.619) Lt: 5.906 (5.906) Accm: 3.29 (3.29) Acct: 5.23 (5.23) proj_loss: -0.5276 (-0.5276) time: 0.3735 data: 0.0004 [11-23 02:27:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:11:08 tlr: 0.00021 tnm: 0.36 Lm: 7.052 (7.052) Lt: 6.361 (6.361) Accm: 2.15 (2.15) Acct: 3.27 (3.27) proj_loss: -0.5166 (-0.5166) time: 0.4003 data: 0.0003 [11-23 02:30:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:08:38 tlr: 0.00021 tnm: 0.33 Lm: 6.962 (6.962) Lt: 6.262 (6.262) Accm: 2.40 (2.40) Acct: 3.74 (3.74) proj_loss: -0.5231 (-0.5231) time: 0.4120 data: 0.0003 [11-23 02:30:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:08:38 tlr: 0.00021 tnm: 0.33 Lm: 6.737 (6.737) Lt: 6.043 (6.043) Accm: 2.75 (2.75) Acct: 4.32 (4.32) proj_loss: -0.5424 (-0.5424) time: 0.4120 data: 0.0003 [11-23 02:30:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:08:38 tlr: 0.00021 tnm: 0.33 Lm: 6.915 (6.915) Lt: 6.229 (6.229) Accm: 2.35 (2.35) Acct: 3.69 (3.69) proj_loss: -0.5444 (-0.5444) time: 0.4120 data: 0.0003 [11-23 02:30:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:08:38 tlr: 0.00021 tnm: 0.33 Lm: 6.793 (6.793) Lt: 6.079 (6.079) Accm: 2.75 (2.75) Acct: 4.30 (4.30) proj_loss: -0.5338 (-0.5338) time: 0.4120 data: 0.0002 [11-23 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:25 tlr: 0.00021 tnm: 0.35 Lm: 6.866 (6.817) Lt: 6.229 (6.129) Accm: 2.66 (2.72) Acct: 4.12 (4.24) proj_loss: -0.5360 (-0.5345) time: 0.3642 data: 0.0002 [11-23 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:25 tlr: 0.00021 tnm: 0.35 Lm: 6.908 (6.893) Lt: 6.228 (6.198) Accm: 2.45 (2.38) Acct: 3.75 (3.71) proj_loss: -0.5434 (-0.5375) time: 0.3642 data: 0.0003 [11-23 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:25 tlr: 0.00021 tnm: 0.35 Lm: 6.770 (6.807) Lt: 6.099 (6.118) Accm: 2.54 (2.62) Acct: 4.15 (4.12) proj_loss: -0.5444 (-0.5458) time: 0.3642 data: 0.0003 [11-23 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:25 tlr: 0.00021 tnm: 0.35 Lm: 6.872 (6.924) Lt: 6.179 (6.234) Accm: 2.49 (2.43) Acct: 3.79 (3.76) proj_loss: -0.5296 (-0.5301) time: 0.3642 data: 0.0003 [11-23 02:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.34 Lm: 6.934 (6.942) Lt: 6.269 (6.266) Accm: 2.32 (2.32) Acct: 3.53 (3.59) proj_loss: -0.5368 (-0.5374) time: 0.3592 data: 0.0003 [11-23 02:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.34 Lm: 6.917 (6.865) Lt: 6.241 (6.186) Accm: 2.45 (2.60) Acct: 3.92 (4.11) proj_loss: -0.5380 (-0.5371) time: 0.3592 data: 0.0002 [11-23 02:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.34 Lm: 6.879 (6.854) Lt: 6.181 (6.162) Accm: 2.50 (2.44) Acct: 3.82 (3.76) proj_loss: -0.5418 (-0.5382) time: 0.3592 data: 0.0002 [11-23 02:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.34 Lm: 6.860 (6.850) Lt: 6.183 (6.156) Accm: 2.45 (2.49) Acct: 3.93 (3.94) proj_loss: -0.5424 (-0.5444) time: 0.3592 data: 0.0002 [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.847 (6.850) Lt: 6.157 (6.156) Accm: 2.54 (2.60) Acct: 4.15 (4.09) proj_loss: -0.5404 (-0.5409) time: 0.3628 data: 0.0017 [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.881 (6.859) Lt: 6.206 (6.171) Accm: 2.45 (2.37) Acct: 3.75 (3.66) proj_loss: -0.5434 (-0.5413) time: 0.3628 data: 0.0016 [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.983 (6.950) Lt: 6.336 (6.280) Accm: 2.22 (2.30) Acct: 3.27 (3.52) proj_loss: -0.5440 (-0.5398) time: 0.3628 data: 0.0019 [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.886 (6.869) Lt: 6.229 (6.190) Accm: 2.40 (2.56) Acct: 3.82 (4.05) proj_loss: -0.5360 (-0.5340) time: 0.3628 data: 0.0017 [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:27 (0.376 s / it) [11-23 02:38:26] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.212), Acc m&t: 2.43 3.80, Remain: 2 days, 0:18:16, Finish: 2024-11-24 10:56 [11-23 02:38:26] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.212), Acc m&t: 2.43 3.80, Remain: 2 days, 0:18:30, Finish: 2024-11-24 10:56 [11-23 02:38:26] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.212), Acc m&t: 2.43 3.80, Remain: 2 days, 0:18:14, Finish: 2024-11-24 10:56 [11-23 02:38:26] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.884 (6.886), Lt: 6.212 (6.212), Acc m&t: 2.43 3.80, Remain: 2 days, 0:18:22, Finish: 2024-11-24 10:56 [11-23 02:38:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:31 tlr: 0.00021 tnm: 0.35 Lm: 6.969 (6.969) Lt: 6.338 (6.338) Accm: 2.06 (2.06) Acct: 3.50 (3.50) proj_loss: -0.5473 (-0.5473) time: 0.3426 data: 0.0003 [11-23 02:38:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.35 Lm: 6.694 (6.694) Lt: 5.982 (5.982) Accm: 3.08 (3.08) Acct: 4.63 (4.63) proj_loss: -0.5518 (-0.5518) time: 0.3434 data: 0.0003 [11-23 02:38:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.35 Lm: 6.880 (6.880) Lt: 6.207 (6.207) Accm: 2.64 (2.64) Acct: 4.01 (4.01) proj_loss: -0.5367 (-0.5367) time: 0.3438 data: 0.0003 [11-23 02:38:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:34 tlr: 0.00021 tnm: 0.35 Lm: 6.872 (6.872) Lt: 6.129 (6.129) Accm: 2.42 (2.42) Acct: 3.79 (3.79) proj_loss: -0.5538 (-0.5538) time: 0.3440 data: 0.0004 [11-23 02:40:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.39 Lm: 6.883 (6.883) Lt: 6.186 (6.186) Accm: 2.52 (2.52) Acct: 3.89 (3.89) proj_loss: -0.5534 (-0.5534) time: 0.3622 data: 0.0007 [11-23 02:40:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.39 Lm: 6.846 (6.846) Lt: 6.180 (6.180) Accm: 2.53 (2.53) Acct: 4.01 (4.01) proj_loss: -0.5449 (-0.5449) time: 0.3622 data: 0.0002 [11-23 02:40:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.39 Lm: 6.817 (6.817) Lt: 6.145 (6.145) Accm: 2.72 (2.72) Acct: 4.16 (4.16) proj_loss: -0.5476 (-0.5476) time: 0.3622 data: 0.0003 [11-23 02:40:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.39 Lm: 6.781 (6.781) Lt: 6.095 (6.095) Accm: 2.81 (2.81) Acct: 4.23 (4.23) proj_loss: -0.5441 (-0.5441) time: 0.3622 data: 0.0003 [11-23 02:43:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.877 (6.813) Lt: 6.207 (6.135) Accm: 2.64 (2.65) Acct: 4.01 (4.05) proj_loss: -0.5514 (-0.5490) time: 0.3646 data: 0.0002 [11-23 02:43:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.824 (6.839) Lt: 6.147 (6.169) Accm: 2.61 (2.56) Acct: 3.86 (3.96) proj_loss: -0.5473 (-0.5501) time: 0.3646 data: 0.0002 [11-23 02:43:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.815 (6.816) Lt: 6.108 (6.133) Accm: 2.96 (2.80) Acct: 4.58 (4.30) proj_loss: -0.5434 (-0.5436) time: 0.3646 data: 0.0003 [11-23 02:43:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.33 Lm: 6.872 (6.878) Lt: 6.143 (6.172) Accm: 2.57 (2.54) Acct: 3.99 (3.99) proj_loss: -0.5530 (-0.5427) time: 0.3646 data: 0.0003 [11-23 02:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.31 Lm: 6.870 (6.830) Lt: 6.136 (6.122) Accm: 2.60 (2.62) Acct: 4.09 (4.14) proj_loss: -0.5533 (-0.5454) time: 0.3640 data: 0.0003 [11-23 02:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.31 Lm: 6.879 (6.856) Lt: 6.211 (6.190) Accm: 2.48 (2.56) Acct: 3.85 (3.92) proj_loss: -0.5535 (-0.5507) time: 0.3640 data: 0.0003 [11-23 02:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.31 Lm: 6.795 (6.821) Lt: 6.113 (6.146) Accm: 2.71 (2.62) Acct: 4.19 (4.15) proj_loss: -0.5478 (-0.5497) time: 0.3640 data: 0.0002 [11-23 02:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.31 Lm: 6.877 (6.855) Lt: 6.208 (6.193) Accm: 2.66 (2.68) Acct: 4.13 (4.12) proj_loss: -0.5476 (-0.5466) time: 0.3640 data: 0.0003 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.815 (6.828) Lt: 6.108 (6.153) Accm: 2.59 (2.66) Acct: 4.32 (4.16) proj_loss: -0.5434 (-0.5447) time: 0.3640 data: 0.0019 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.766 (6.807) Lt: 6.079 (6.118) Accm: 2.73 (2.64) Acct: 4.44 (4.21) proj_loss: -0.5473 (-0.5471) time: 0.3640 data: 0.0015 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.872 (6.855) Lt: 6.143 (6.161) Accm: 2.57 (2.53) Acct: 3.99 (3.99) proj_loss: -0.5530 (-0.5447) time: 0.3640 data: 0.0021 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.877 (6.860) Lt: 6.207 (6.181) Accm: 2.64 (2.58) Acct: 4.01 (4.00) proj_loss: -0.5514 (-0.5464) time: 0.3641 data: 0.0019 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:04 (0.362 s / it) [11-23 02:48:31] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.194), Acc m&t: 2.46 3.87, Remain: 2 days, 0:28:05, Finish: 2024-11-24 11:16 [11-23 02:48:31] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.194), Acc m&t: 2.46 3.87, Remain: 2 days, 0:28:35, Finish: 2024-11-24 11:17 [11-23 02:48:31] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.194), Acc m&t: 2.46 3.87, Remain: 2 days, 0:27:34, Finish: 2024-11-24 11:16 [11-23 02:48:31] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.194), Acc m&t: 2.46 3.87, Remain: 2 days, 0:28:19, Finish: 2024-11-24 11:16 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.35 Lm: 6.891 (6.891) Lt: 6.223 (6.223) Accm: 2.36 (2.36) Acct: 3.86 (3.86) proj_loss: -0.5342 (-0.5342) time: 0.3433 data: 0.0004 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.35 Lm: 6.856 (6.856) Lt: 6.139 (6.139) Accm: 2.68 (2.68) Acct: 4.27 (4.27) proj_loss: -0.5440 (-0.5440) time: 0.3436 data: 0.0004 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:09:34 tlr: 0.00021 tnm: 0.35 Lm: 6.944 (6.944) Lt: 6.292 (6.292) Accm: 2.29 (2.29) Acct: 3.58 (3.58) proj_loss: -0.5612 (-0.5612) time: 0.3442 data: 0.0004 [11-23 02:48:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:10:33 tlr: 0.00021 tnm: 0.35 Lm: 6.944 (6.944) Lt: 6.271 (6.271) Accm: 2.24 (2.24) Acct: 3.62 (3.62) proj_loss: -0.5416 (-0.5416) time: 0.3796 data: 0.0004 [11-23 02:51:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.35 Lm: 6.912 (6.912) Lt: 6.227 (6.227) Accm: 2.40 (2.40) Acct: 3.86 (3.86) proj_loss: -0.5484 (-0.5484) time: 0.3600 data: 0.0003 [11-23 02:51:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.35 Lm: 6.803 (6.803) Lt: 6.076 (6.076) Accm: 2.80 (2.80) Acct: 4.41 (4.41) proj_loss: -0.5466 (-0.5466) time: 0.3600 data: 0.0003 [11-23 02:51:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.35 Lm: 6.863 (6.863) Lt: 6.213 (6.213) Accm: 2.37 (2.37) Acct: 3.63 (3.63) proj_loss: -0.5435 (-0.5435) time: 0.3600 data: 0.0003 [11-23 02:51:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.35 Lm: 6.894 (6.894) Lt: 6.223 (6.223) Accm: 2.40 (2.40) Acct: 3.69 (3.69) proj_loss: -0.5460 (-0.5460) time: 0.3600 data: 0.0003 [11-23 02:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.844 (6.872) Lt: 6.155 (6.196) Accm: 2.51 (2.47) Acct: 3.81 (3.78) proj_loss: -0.5308 (-0.5402) time: 0.3623 data: 0.0003 [11-23 02:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.856 (6.881) Lt: 6.139 (6.180) Accm: 2.68 (2.58) Acct: 4.27 (4.02) proj_loss: -0.5440 (-0.5454) time: 0.3623 data: 0.0002 [11-23 02:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.891 (6.944) Lt: 6.223 (6.300) Accm: 2.36 (2.21) Acct: 3.41 (3.39) proj_loss: -0.5342 (-0.5382) time: 0.3623 data: 0.0003 [11-23 02:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.922 (6.916) Lt: 6.270 (6.241) Accm: 2.29 (2.36) Acct: 3.62 (3.74) proj_loss: -0.5485 (-0.5485) time: 0.3623 data: 0.0003 [11-23 02:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.35 Lm: 6.933 (6.953) Lt: 6.270 (6.285) Accm: 2.26 (2.31) Acct: 3.64 (3.72) proj_loss: -0.5451 (-0.5464) time: 0.3635 data: 0.0003 [11-23 02:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.35 Lm: 6.863 (6.907) Lt: 6.213 (6.254) Accm: 2.37 (2.33) Acct: 3.63 (3.56) proj_loss: -0.5381 (-0.5392) time: 0.3635 data: 0.0002 [11-23 02:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.35 Lm: 6.865 (6.879) Lt: 6.177 (6.189) Accm: 2.53 (2.53) Acct: 3.85 (3.87) proj_loss: -0.5466 (-0.5496) time: 0.3635 data: 0.0002 [11-23 02:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.35 Lm: 6.862 (6.874) Lt: 6.200 (6.208) Accm: 2.43 (2.44) Acct: 3.82 (3.80) proj_loss: -0.5395 (-0.5422) time: 0.3635 data: 0.0003 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.880 (6.876) Lt: 6.209 (6.208) Accm: 2.50 (2.45) Acct: 3.84 (3.81) proj_loss: -0.5481 (-0.5474) time: 0.4065 data: 0.0018 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:11 (0.366 s / it) [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.836 (6.872) Lt: 6.202 (6.212) Accm: 2.37 (2.42) Acct: 3.86 (3.71) proj_loss: -0.5342 (-0.5362) time: 0.4065 data: 0.0018 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.875 (6.881) Lt: 6.215 (6.194) Accm: 2.38 (2.50) Acct: 3.82 (3.86) proj_loss: -0.5492 (-0.5497) time: 0.4065 data: 0.0017 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.922 (6.938) Lt: 6.270 (6.273) Accm: 2.29 (2.35) Acct: 3.67 (3.72) proj_loss: -0.5485 (-0.5517) time: 0.4065 data: 0.0018 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:11 (0.366 s / it) [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:11 (0.366 s / it) [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:11 (0.366 s / it) [11-23 02:58:43] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.875 (6.885), Lt: 6.194 (6.208), Acc m&t: 2.46 3.87, Remain: 1 day, 23:58:08, Finish: 2024-11-24 10:56 [11-23 02:58:43] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.875 (6.885), Lt: 6.194 (6.208), Acc m&t: 2.46 3.87, Remain: 1 day, 23:59:26, Finish: 2024-11-24 10:58 [11-23 02:58:43] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.875 (6.885), Lt: 6.194 (6.208), Acc m&t: 2.46 3.87, Remain: 1 day, 23:58:14, Finish: 2024-11-24 10:56 [11-23 02:58:43] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.875 (6.885), Lt: 6.194 (6.208), Acc m&t: 2.46 3.87, Remain: 1 day, 23:58:53, Finish: 2024-11-24 10:57 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.35 Lm: 6.945 (6.945) Lt: 6.272 (6.272) Accm: 1.94 (1.94) Acct: 3.25 (3.25) proj_loss: -0.5417 (-0.5417) time: 0.3438 data: 0.0004 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:10:26 tlr: 0.00021 tnm: 0.35 Lm: 6.931 (6.931) Lt: 6.322 (6.322) Accm: 2.46 (2.46) Acct: 3.87 (3.87) proj_loss: -0.5471 (-0.5471) time: 0.3755 data: 0.0004 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:10:27 tlr: 0.00021 tnm: 0.35 Lm: 6.815 (6.815) Lt: 6.094 (6.094) Accm: 2.73 (2.73) Acct: 4.39 (4.39) proj_loss: -0.5418 (-0.5418) time: 0.3762 data: 0.0004 [11-23 02:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:10:27 tlr: 0.00021 tnm: 0.35 Lm: 6.977 (6.977) Lt: 6.333 (6.333) Accm: 2.33 (2.33) Acct: 3.53 (3.53) proj_loss: -0.5286 (-0.5286) time: 0.3763 data: 0.0003 [11-23 03:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:08:21 tlr: 0.00021 tnm: 0.37 Lm: 6.929 (6.929) Lt: 6.254 (6.254) Accm: 2.35 (2.35) Acct: 3.66 (3.66) proj_loss: -0.5315 (-0.5315) time: 0.3643 data: 0.0003 [11-23 03:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:08:21 tlr: 0.00021 tnm: 0.37 Lm: 6.973 (6.973) Lt: 6.327 (6.327) Accm: 2.09 (2.09) Acct: 3.27 (3.27) proj_loss: -0.5504 (-0.5504) time: 0.3643 data: 0.0002 [11-23 03:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:08:21 tlr: 0.00021 tnm: 0.37 Lm: 6.833 (6.833) Lt: 6.172 (6.172) Accm: 2.55 (2.55) Acct: 3.95 (3.95) proj_loss: -0.5533 (-0.5533) time: 0.3643 data: 0.0002 [11-23 03:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:08:21 tlr: 0.00021 tnm: 0.37 Lm: 6.887 (6.887) Lt: 6.220 (6.220) Accm: 2.41 (2.41) Acct: 3.89 (3.89) proj_loss: -0.5408 (-0.5408) time: 0.3644 data: 0.0003 [11-23 03:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:19 tlr: 0.00021 tnm: 0.32 Lm: 6.870 (6.881) Lt: 6.207 (6.215) Accm: 2.46 (2.46) Acct: 3.91 (3.91) proj_loss: -0.5471 (-0.5466) time: 0.3616 data: 0.0003 [11-23 03:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:19 tlr: 0.00021 tnm: 0.32 Lm: 6.815 (6.825) Lt: 6.142 (6.162) Accm: 2.66 (2.58) Acct: 4.15 (4.02) proj_loss: -0.5418 (-0.5494) time: 0.3616 data: 0.0002 [11-23 03:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:19 tlr: 0.00021 tnm: 0.32 Lm: 6.880 (6.823) Lt: 6.174 (6.140) Accm: 2.37 (2.62) Acct: 3.79 (4.01) proj_loss: -0.5343 (-0.5391) time: 0.3617 data: 0.0003 [11-23 03:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:19 tlr: 0.00021 tnm: 0.32 Lm: 6.945 (6.936) Lt: 6.272 (6.276) Accm: 2.24 (2.20) Acct: 3.29 (3.50) proj_loss: -0.5417 (-0.5416) time: 0.3617 data: 0.0002 [11-23 03:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.36 Lm: 6.904 (6.917) Lt: 6.227 (6.252) Accm: 2.33 (2.27) Acct: 3.57 (3.59) proj_loss: -0.5495 (-0.5455) time: 0.3629 data: 0.0003 [11-23 03:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.36 Lm: 6.882 (6.885) Lt: 6.243 (6.231) Accm: 2.41 (2.41) Acct: 3.89 (3.83) proj_loss: -0.5526 (-0.5498) time: 0.3630 data: 0.0002 [11-23 03:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.36 Lm: 6.879 (6.837) Lt: 6.185 (6.154) Accm: 2.35 (2.54) Acct: 3.69 (3.90) proj_loss: -0.5410 (-0.5413) time: 0.3630 data: 0.0003 [11-23 03:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.36 Lm: 6.833 (6.831) Lt: 6.139 (6.155) Accm: 2.51 (2.53) Acct: 4.13 (4.04) proj_loss: -0.5479 (-0.5505) time: 0.3630 data: 0.0003 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.850 (6.861) Lt: 6.142 (6.191) Accm: 2.36 (2.44) Acct: 4.12 (3.93) proj_loss: -0.5495 (-0.5503) time: 0.3637 data: 0.0019 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:22 (0.373 s / it) [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.863 (6.893) Lt: 6.182 (6.222) Accm: 2.43 (2.35) Acct: 3.86 (3.77) proj_loss: -0.5417 (-0.5446) time: 0.3637 data: 0.0019 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.870 (6.858) Lt: 6.207 (6.197) Accm: 2.46 (2.46) Acct: 3.91 (3.91) proj_loss: -0.5572 (-0.5513) time: 0.3637 data: 0.0016 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.880 (6.845) Lt: 6.174 (6.153) Accm: 2.37 (2.52) Acct: 3.79 (3.89) proj_loss: -0.5343 (-0.5380) time: 0.3637 data: 0.0023 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:22 (0.373 s / it) [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:22 (0.373 s / it) [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:22 (0.373 s / it) [11-23 03:09:05] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.202), Acc m&t: 2.46 3.87, Remain: 1 day, 23:56:27, Finish: 2024-11-24 11:05 [11-23 03:09:05] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.202), Acc m&t: 2.46 3.87, Remain: 1 day, 23:55:13, Finish: 2024-11-24 11:04 [11-23 03:09:05] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.202), Acc m&t: 2.46 3.87, Remain: 1 day, 23:56:14, Finish: 2024-11-24 11:05 [11-23 03:09:05] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.875 (6.875), Lt: 6.194 (6.202), Acc m&t: 2.46 3.87, Remain: 1 day, 23:56:00, Finish: 2024-11-24 11:05 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:00 tlr: 0.00021 tnm: 0.33 Lm: 6.856 (6.856) Lt: 6.167 (6.167) Accm: 2.47 (2.47) Acct: 3.67 (3.67) proj_loss: -0.5245 (-0.5245) time: 0.3598 data: 0.0003 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:01 tlr: 0.00021 tnm: 0.33 Lm: 6.945 (6.945) Lt: 6.277 (6.277) Accm: 2.35 (2.35) Acct: 3.82 (3.82) proj_loss: -0.5383 (-0.5383) time: 0.3604 data: 0.0004 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:01 tlr: 0.00021 tnm: 0.33 Lm: 6.926 (6.926) Lt: 6.327 (6.327) Accm: 2.19 (2.19) Acct: 3.13 (3.13) proj_loss: -0.5688 (-0.5688) time: 0.3604 data: 0.0004 [11-23 03:09:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:01 tlr: 0.00021 tnm: 0.33 Lm: 6.956 (6.956) Lt: 6.247 (6.247) Accm: 2.33 (2.33) Acct: 3.77 (3.77) proj_loss: -0.5490 (-0.5490) time: 0.3605 data: 0.0003 [11-23 03:11:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.37 Lm: 6.946 (6.946) Lt: 6.256 (6.256) Accm: 2.34 (2.34) Acct: 3.73 (3.73) proj_loss: -0.5531 (-0.5531) time: 0.3577 data: 0.0002 [11-23 03:11:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.37 Lm: 6.874 (6.874) Lt: 6.231 (6.231) Accm: 2.46 (2.46) Acct: 3.81 (3.81) proj_loss: -0.5626 (-0.5626) time: 0.3577 data: 0.0002 [11-23 03:11:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.37 Lm: 6.851 (6.851) Lt: 6.173 (6.173) Accm: 2.54 (2.54) Acct: 3.89 (3.89) proj_loss: -0.5449 (-0.5449) time: 0.3577 data: 0.0002 [11-23 03:11:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.37 Lm: 6.845 (6.845) Lt: 6.156 (6.156) Accm: 2.49 (2.49) Acct: 4.02 (4.02) proj_loss: -0.5383 (-0.5383) time: 0.3577 data: 0.0003 [11-23 03:14:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.945 (6.879) Lt: 6.277 (6.199) Accm: 2.35 (2.42) Acct: 3.82 (3.80) proj_loss: -0.5383 (-0.5420) time: 0.3606 data: 0.0003 [11-23 03:14:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.926 (6.918) Lt: 6.327 (6.275) Accm: 2.19 (2.35) Acct: 3.51 (3.71) proj_loss: -0.5564 (-0.5588) time: 0.3606 data: 0.0003 [11-23 03:14:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.856 (6.866) Lt: 6.167 (6.163) Accm: 2.47 (2.48) Acct: 3.79 (3.86) proj_loss: -0.5424 (-0.5441) time: 0.3606 data: 0.0003 [11-23 03:14:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.936 (6.937) Lt: 6.247 (6.226) Accm: 2.33 (2.33) Acct: 3.77 (3.76) proj_loss: -0.5529 (-0.5531) time: 0.3606 data: 0.0002 [11-23 03:16:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.928 (6.930) Lt: 6.226 (6.221) Accm: 2.34 (2.38) Acct: 3.81 (3.90) proj_loss: -0.5548 (-0.5540) time: 0.3637 data: 0.0003 [11-23 03:16:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.966 (6.947) Lt: 6.344 (6.303) Accm: 2.22 (2.33) Acct: 3.37 (3.59) proj_loss: -0.5537 (-0.5515) time: 0.3637 data: 0.0003 [11-23 03:16:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.876 (6.873) Lt: 6.173 (6.178) Accm: 2.44 (2.46) Acct: 3.73 (3.80) proj_loss: -0.5430 (-0.5440) time: 0.3637 data: 0.0003 [11-23 03:16:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.873 (6.860) Lt: 6.209 (6.184) Accm: 2.49 (2.48) Acct: 3.91 (3.85) proj_loss: -0.5439 (-0.5537) time: 0.3637 data: 0.0003 [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.840 (6.856) Lt: 6.162 (6.180) Accm: 2.45 (2.48) Acct: 3.82 (3.84) proj_loss: -0.5496 (-0.5557) time: 0.3644 data: 0.0019 [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.926 (6.937) Lt: 6.327 (6.292) Accm: 2.26 (2.35) Acct: 3.51 (3.68) proj_loss: -0.5510 (-0.5472) time: 0.3644 data: 0.0019 [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.919 (6.927) Lt: 6.205 (6.218) Accm: 2.35 (2.38) Acct: 3.77 (3.87) proj_loss: -0.5529 (-0.5492) time: 0.3644 data: 0.0021 [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.36 Lm: 6.895 (6.891) Lt: 6.178 (6.204) Accm: 2.41 (2.39) Acct: 3.67 (3.70) proj_loss: -0.5424 (-0.5400) time: 0.3644 data: 0.0017 [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:19:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:19:09] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.875 (6.891), Lt: 6.194 (6.215), Acc m&t: 2.46 3.87, Remain: 1 day, 23:38:49, Finish: 2024-11-24 10:57 [11-23 03:19:09] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.875 (6.891), Lt: 6.194 (6.215), Acc m&t: 2.46 3.87, Remain: 1 day, 23:38:53, Finish: 2024-11-24 10:58 [11-23 03:19:09] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.875 (6.891), Lt: 6.194 (6.215), Acc m&t: 2.46 3.87, Remain: 1 day, 23:37:10, Finish: 2024-11-24 10:56 [11-23 03:19:09] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.875 (6.891), Lt: 6.194 (6.215), Acc m&t: 2.46 3.87, Remain: 1 day, 23:38:43, Finish: 2024-11-24 10:57 [11-23 03:19:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:10:01 tlr: 0.00021 tnm: 0.34 Lm: 6.788 (6.788) Lt: 6.107 (6.107) Accm: 2.40 (2.40) Acct: 3.75 (3.75) proj_loss: -0.5620 (-0.5620) time: 0.3601 data: 0.0003 [11-23 03:19:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:10:02 tlr: 0.00021 tnm: 0.34 Lm: 6.890 (6.890) Lt: 6.208 (6.208) Accm: 2.51 (2.51) Acct: 4.06 (4.06) proj_loss: -0.5605 (-0.5605) time: 0.3611 data: 0.0004 [11-23 03:19:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:10:06 tlr: 0.00021 tnm: 0.34 Lm: 7.026 (7.026) Lt: 6.381 (6.381) Accm: 2.33 (2.33) Acct: 3.60 (3.60) proj_loss: -0.5542 (-0.5542) time: 0.3633 data: 0.0004 [11-23 03:19:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:10:02 tlr: 0.00021 tnm: 0.34 Lm: 6.770 (6.770) Lt: 6.091 (6.091) Accm: 2.64 (2.64) Acct: 4.29 (4.29) proj_loss: -0.5577 (-0.5577) time: 0.3612 data: 0.0004 [11-23 03:21:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.35 Lm: 6.904 (6.904) Lt: 6.242 (6.242) Accm: 2.34 (2.34) Acct: 3.77 (3.77) proj_loss: -0.5532 (-0.5532) time: 0.3610 data: 0.0003 [11-23 03:21:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.35 Lm: 6.918 (6.918) Lt: 6.249 (6.249) Accm: 2.51 (2.51) Acct: 4.03 (4.03) proj_loss: -0.5597 (-0.5597) time: 0.3610 data: 0.0003 [11-23 03:21:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.35 Lm: 6.907 (6.907) Lt: 6.249 (6.249) Accm: 2.24 (2.24) Acct: 3.44 (3.44) proj_loss: -0.5484 (-0.5484) time: 0.3610 data: 0.0002 [11-23 03:21:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.35 Lm: 6.883 (6.883) Lt: 6.214 (6.214) Accm: 2.56 (2.56) Acct: 3.97 (3.97) proj_loss: -0.5485 (-0.5485) time: 0.3610 data: 0.0003 [11-23 03:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 6.877 (6.848) Lt: 6.208 (6.152) Accm: 2.61 (2.66) Acct: 4.06 (4.16) proj_loss: -0.5546 (-0.5505) time: 0.3594 data: 0.0003 [11-23 03:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 6.849 (6.888) Lt: 6.142 (6.213) Accm: 2.40 (2.42) Acct: 3.75 (3.67) proj_loss: -0.5620 (-0.5550) time: 0.3594 data: 0.0002 [11-23 03:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 6.863 (6.890) Lt: 6.229 (6.238) Accm: 2.45 (2.38) Acct: 3.74 (3.76) proj_loss: -0.5577 (-0.5594) time: 0.3594 data: 0.0003 [11-23 03:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 6.939 (6.925) Lt: 6.291 (6.263) Accm: 2.33 (2.44) Acct: 3.62 (3.89) proj_loss: -0.5542 (-0.5572) time: 0.3594 data: 0.0003 [11-23 03:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.913 (6.916) Lt: 6.242 (6.246) Accm: 2.33 (2.41) Acct: 3.61 (3.81) proj_loss: -0.5531 (-0.5551) time: 0.3628 data: 0.0003 [11-23 03:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.881 (6.858) Lt: 6.214 (6.172) Accm: 2.65 (2.66) Acct: 4.10 (4.15) proj_loss: -0.5541 (-0.5513) time: 0.3628 data: 0.0003 [11-23 03:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.866 (6.887) Lt: 6.171 (6.210) Accm: 2.40 (2.42) Acct: 3.71 (3.67) proj_loss: -0.5631 (-0.5572) time: 0.3628 data: 0.0002 [11-23 03:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.33 Lm: 6.862 (6.883) Lt: 6.189 (6.216) Accm: 2.41 (2.38) Acct: 3.69 (3.73) proj_loss: -0.5532 (-0.5521) time: 0.3628 data: 0.0003 [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.860 (6.865) Lt: 6.149 (6.187) Accm: 2.45 (2.44) Acct: 3.74 (3.82) proj_loss: -0.5539 (-0.5524) time: 0.4096 data: 0.0017 [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:16 (0.369 s / it) [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.886 (6.877) Lt: 6.221 (6.203) Accm: 2.61 (2.56) Acct: 4.06 (4.00) proj_loss: -0.5546 (-0.5520) time: 0.4096 data: 0.0019 [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.849 (6.857) Lt: 6.142 (6.183) Accm: 2.40 (2.54) Acct: 3.75 (3.90) proj_loss: -0.5621 (-0.5582) time: 0.4096 data: 0.0019 [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.939 (6.936) Lt: 6.291 (6.265) Accm: 2.32 (2.31) Acct: 3.60 (3.64) proj_loss: -0.5525 (-0.5546) time: 0.4096 data: 0.0017 [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:16 (0.369 s / it) [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:16 (0.369 s / it) [11-23 03:29:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:16 (0.369 s / it) [11-23 03:31:27] (home/user/VAR/trainer.py, line 114)=> FID: 5.738908003524614 [11-23 03:31:28] (/home/user/VAR/train.py , line 259)=> [*] [ep69] (val 50000) Lm: 6.8804, Lt: 6.2056, Acc m&t: 2.43 3.80, Val cost: 121.70s [11-23 03:31:28] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 03:32:05] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.875 (6.880), Lt: 6.194 (6.206), Acc m&t: 2.46 3.87, Remain: 1 day, 23:31:38, Finish: 2024-11-24 11:01 [11-23 03:32:05] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.875 (6.880), Lt: 6.194 (6.206), Acc m&t: 2.46 3.87, Remain: 1 day, 23:31:14, Finish: 2024-11-24 11:00 [11-23 03:32:05] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.875 (6.880), Lt: 6.194 (6.206), Acc m&t: 2.46 3.87, Remain: 1 day, 23:31:12, Finish: 2024-11-24 11:00 [11-23 03:32:05] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.875 (6.880), Lt: 6.194 (6.206), Acc m&t: 2.46 3.87, Remain: 1 day, 23:31:41, Finish: 2024-11-24 11:01 [11-23 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:05 tlr: 0.00021 tnm: 0.36 Lm: 6.914 (6.914) Lt: 6.283 (6.283) Accm: 2.33 (2.33) Acct: 3.60 (3.60) proj_loss: -0.5564 (-0.5564) time: 0.3630 data: 0.0003 [11-23 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:04 tlr: 0.00021 tnm: 0.36 Lm: 6.895 (6.895) Lt: 6.150 (6.150) Accm: 2.38 (2.38) Acct: 3.94 (3.94) proj_loss: -0.5474 (-0.5474) time: 0.3624 data: 0.0004 [11-23 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:03 tlr: 0.00021 tnm: 0.36 Lm: 6.814 (6.814) Lt: 6.149 (6.149) Accm: 2.35 (2.35) Acct: 3.77 (3.77) proj_loss: -0.5447 (-0.5447) time: 0.3618 data: 0.0005 [11-23 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.36 Lm: 6.916 (6.916) Lt: 6.247 (6.247) Accm: 2.39 (2.39) Acct: 3.81 (3.81) proj_loss: -0.5525 (-0.5525) time: 0.3659 data: 0.0004 [11-23 03:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:08:09 tlr: 0.00021 tnm: 0.36 Lm: 6.891 (6.891) Lt: 6.201 (6.201) Accm: 2.47 (2.47) Acct: 3.91 (3.91) proj_loss: -0.5495 (-0.5495) time: 0.3625 data: 0.0002 [11-23 03:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:08:09 tlr: 0.00021 tnm: 0.36 Lm: 6.826 (6.826) Lt: 6.154 (6.154) Accm: 2.60 (2.60) Acct: 4.13 (4.13) proj_loss: -0.5550 (-0.5550) time: 0.3625 data: 0.0003 [11-23 03:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:08:09 tlr: 0.00021 tnm: 0.36 Lm: 6.970 (6.970) Lt: 6.355 (6.355) Accm: 2.19 (2.19) Acct: 3.32 (3.32) proj_loss: -0.5562 (-0.5562) time: 0.3625 data: 0.0002 [11-23 03:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:08:09 tlr: 0.00021 tnm: 0.36 Lm: 6.917 (6.917) Lt: 6.218 (6.218) Accm: 2.34 (2.34) Acct: 3.77 (3.77) proj_loss: -0.5514 (-0.5514) time: 0.3625 data: 0.0003 [11-23 03:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:15 tlr: 0.00021 tnm: 0.34 Lm: 6.895 (6.869) Lt: 6.150 (6.185) Accm: 2.38 (2.45) Acct: 3.94 (3.84) proj_loss: -0.5521 (-0.5516) time: 0.3629 data: 0.0003 [11-23 03:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:15 tlr: 0.00021 tnm: 0.34 Lm: 6.916 (6.921) Lt: 6.247 (6.253) Accm: 2.39 (2.34) Acct: 3.81 (3.72) proj_loss: -0.5464 (-0.5467) time: 0.3629 data: 0.0002 [11-23 03:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:15 tlr: 0.00021 tnm: 0.34 Lm: 6.814 (6.800) Lt: 6.149 (6.142) Accm: 2.85 (2.74) Acct: 4.49 (4.29) proj_loss: -0.5654 (-0.5589) time: 0.3629 data: 0.0002 [11-23 03:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:15 tlr: 0.00021 tnm: 0.34 Lm: 6.914 (6.948) Lt: 6.283 (6.295) Accm: 2.33 (2.36) Acct: 3.60 (3.63) proj_loss: -0.5560 (-0.5501) time: 0.3629 data: 0.0003 [11-23 03:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.34 Lm: 6.916 (6.940) Lt: 6.270 (6.285) Accm: 2.32 (2.35) Acct: 3.50 (3.57) proj_loss: -0.5503 (-0.5487) time: 0.3597 data: 0.0003 [11-23 03:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.34 Lm: 6.826 (6.829) Lt: 6.154 (6.169) Accm: 2.60 (2.64) Acct: 4.13 (4.14) proj_loss: -0.5550 (-0.5520) time: 0.3597 data: 0.0002 [11-23 03:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.34 Lm: 6.915 (6.886) Lt: 6.196 (6.199) Accm: 2.39 (2.44) Acct: 3.87 (3.83) proj_loss: -0.5527 (-0.5520) time: 0.3597 data: 0.0003 [11-23 03:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.34 Lm: 6.891 (6.885) Lt: 6.201 (6.213) Accm: 2.47 (2.48) Acct: 3.91 (3.96) proj_loss: -0.5495 (-0.5489) time: 0.3597 data: 0.0002 [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.867 (6.860) Lt: 6.156 (6.175) Accm: 2.54 (2.50) Acct: 4.01 (3.99) proj_loss: -0.5470 (-0.5485) time: 0.3645 data: 0.0017 [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:18 (0.370 s / it) [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.917 (6.892) Lt: 6.241 (6.212) Accm: 2.38 (2.38) Acct: 3.81 (3.75) proj_loss: -0.5533 (-0.5541) time: 0.3645 data: 0.0017 [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.818 (6.827) Lt: 6.149 (6.158) Accm: 2.39 (2.59) Acct: 3.77 (4.04) proj_loss: -0.5654 (-0.5554) time: 0.3645 data: 0.0021 [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.917 (6.943) Lt: 6.283 (6.285) Accm: 2.33 (2.37) Acct: 3.60 (3.65) proj_loss: -0.5560 (-0.5509) time: 0.3645 data: 0.0021 [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:18 (0.370 s / it) [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:18 (0.370 s / it) [11-23 03:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:18 (0.370 s / it) [11-23 03:42:23] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.866 (6.866), Lt: 6.187 (6.187), Acc m&t: 2.47 3.88, Remain: 1 day, 23:25:42, Finish: 2024-11-24 11:08 [11-23 03:42:23] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.866 (6.866), Lt: 6.187 (6.187), Acc m&t: 2.47 3.88, Remain: 1 day, 23:24:10, Finish: 2024-11-24 11:06 [11-23 03:42:23] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.866 (6.866), Lt: 6.187 (6.187), Acc m&t: 2.47 3.88, Remain: 1 day, 23:25:21, Finish: 2024-11-24 11:07 [11-23 03:42:23] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.866 (6.866), Lt: 6.187 (6.187), Acc m&t: 2.47 3.88, Remain: 1 day, 23:25:23, Finish: 2024-11-24 11:07 [11-23 03:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:36 tlr: 0.00021 tnm: 0.35 Lm: 6.862 (6.862) Lt: 6.166 (6.166) Accm: 2.45 (2.45) Acct: 3.96 (3.96) proj_loss: -0.5300 (-0.5300) time: 0.3815 data: 0.0004 [11-23 03:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:36 tlr: 0.00021 tnm: 0.35 Lm: 6.701 (6.701) Lt: 5.974 (5.974) Accm: 3.04 (3.04) Acct: 4.68 (4.68) proj_loss: -0.5446 (-0.5446) time: 0.3812 data: 0.0003 [11-23 03:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:37 tlr: 0.00021 tnm: 0.35 Lm: 6.748 (6.748) Lt: 6.027 (6.027) Accm: 2.96 (2.96) Acct: 4.61 (4.61) proj_loss: -0.5406 (-0.5406) time: 0.3821 data: 0.0003 [11-23 03:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:35 tlr: 0.00021 tnm: 0.35 Lm: 6.771 (6.771) Lt: 6.026 (6.026) Accm: 2.54 (2.54) Acct: 4.01 (4.01) proj_loss: -0.5493 (-0.5493) time: 0.3805 data: 0.0003 [11-23 03:44:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.941 (6.941) Lt: 6.277 (6.277) Accm: 2.26 (2.26) Acct: 3.62 (3.62) proj_loss: -0.5306 (-0.5306) time: 0.3640 data: 0.0002 [11-23 03:44:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.796 (6.796) Lt: 6.092 (6.092) Accm: 2.79 (2.79) Acct: 4.37 (4.37) proj_loss: -0.5432 (-0.5432) time: 0.3640 data: 0.0003 [11-23 03:44:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.773 (6.773) Lt: 6.065 (6.065) Accm: 2.78 (2.78) Acct: 4.30 (4.30) proj_loss: -0.5405 (-0.5405) time: 0.3640 data: 0.0003 [11-23 03:44:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:33 tlr: 0.00021 tnm: 0.34 Lm: 6.858 (6.858) Lt: 6.144 (6.144) Accm: 2.39 (2.39) Acct: 3.81 (3.81) proj_loss: -0.5432 (-0.5432) time: 0.3640 data: 0.0003 [11-23 03:47:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.824 (6.846) Lt: 6.150 (6.146) Accm: 2.45 (2.41) Acct: 3.81 (3.81) proj_loss: -0.5399 (-0.5421) time: 0.3615 data: 0.0003 [11-23 03:47:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.844 (6.821) Lt: 6.158 (6.130) Accm: 2.63 (2.68) Acct: 4.13 (4.15) proj_loss: -0.5406 (-0.5410) time: 0.3615 data: 0.0003 [11-23 03:47:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.846 (6.803) Lt: 6.155 (6.103) Accm: 2.64 (2.73) Acct: 4.08 (4.23) proj_loss: -0.5446 (-0.5432) time: 0.3615 data: 0.0003 [11-23 03:47:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:02 tlr: 0.00021 tnm: 0.36 Lm: 6.862 (6.912) Lt: 6.166 (6.233) Accm: 2.45 (2.34) Acct: 3.82 (3.69) proj_loss: -0.5312 (-0.5370) time: 0.3615 data: 0.0003 [11-23 03:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.923 (6.930) Lt: 6.244 (6.255) Accm: 2.32 (2.30) Acct: 3.60 (3.61) proj_loss: -0.5338 (-0.5369) time: 0.3612 data: 0.0002 [11-23 03:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.842 (6.812) Lt: 6.143 (6.110) Accm: 2.58 (2.66) Acct: 4.00 (4.13) proj_loss: -0.5429 (-0.5427) time: 0.3612 data: 0.0003 [11-23 03:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.832 (6.821) Lt: 6.169 (6.142) Accm: 2.55 (2.63) Acct: 3.92 (4.04) proj_loss: -0.5432 (-0.5528) time: 0.3612 data: 0.0003 [11-23 03:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.34 Lm: 6.818 (6.838) Lt: 6.153 (6.149) Accm: 2.50 (2.48) Acct: 3.91 (3.88) proj_loss: -0.5446 (-0.5451) time: 0.3612 data: 0.0003 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.824 (6.843) Lt: 6.156 (6.165) Accm: 2.54 (2.52) Acct: 4.01 (3.93) proj_loss: -0.5493 (-0.5488) time: 0.3634 data: 0.0020 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.844 (6.839) Lt: 6.163 (6.146) Accm: 2.53 (2.61) Acct: 3.96 (4.02) proj_loss: -0.5406 (-0.5502) time: 0.3634 data: 0.0018 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.862 (6.916) Lt: 6.166 (6.232) Accm: 2.25 (2.29) Acct: 3.70 (3.63) proj_loss: -0.5364 (-0.5390) time: 0.3634 data: 0.0016 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.839 (6.813) Lt: 6.155 (6.125) Accm: 2.64 (2.68) Acct: 3.98 (4.10) proj_loss: -0.5446 (-0.5519) time: 0.3634 data: 0.0016 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:04 (0.362 s / it) [11-23 03:52:28] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.860 (6.860), Lt: 6.178 (6.178), Acc m&t: 2.48 3.89, Remain: 1 day, 23:08:05, Finish: 2024-11-24 11:00 [11-23 03:52:28] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.860 (6.860), Lt: 6.178 (6.178), Acc m&t: 2.48 3.89, Remain: 1 day, 23:09:24, Finish: 2024-11-24 11:01 [11-23 03:52:28] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.860 (6.860), Lt: 6.178 (6.178), Acc m&t: 2.48 3.89, Remain: 1 day, 23:09:45, Finish: 2024-11-24 11:02 [11-23 03:52:28] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.860 (6.860), Lt: 6.178 (6.178), Acc m&t: 2.48 3.89, Remain: 1 day, 23:10:50, Finish: 2024-11-24 11:03 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:49 tlr: 0.00021 tnm: 0.35 Lm: 6.864 (6.864) Lt: 6.196 (6.196) Accm: 2.35 (2.35) Acct: 3.63 (3.63) proj_loss: -0.5354 (-0.5354) time: 0.3534 data: 0.0004 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:53 tlr: 0.00021 tnm: 0.35 Lm: 6.735 (6.735) Lt: 6.070 (6.070) Accm: 2.67 (2.67) Acct: 4.08 (4.08) proj_loss: -0.5652 (-0.5652) time: 0.3558 data: 0.0003 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:52 tlr: 0.00021 tnm: 0.35 Lm: 6.751 (6.751) Lt: 6.062 (6.062) Accm: 2.56 (2.56) Acct: 4.15 (4.15) proj_loss: -0.5466 (-0.5466) time: 0.3548 data: 0.0003 [11-23 03:52:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:52 tlr: 0.00021 tnm: 0.35 Lm: 6.835 (6.835) Lt: 6.175 (6.175) Accm: 2.43 (2.43) Acct: 4.08 (4.08) proj_loss: -0.5435 (-0.5435) time: 0.3553 data: 0.0004 [11-23 03:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.33 Lm: 6.846 (6.846) Lt: 6.179 (6.179) Accm: 2.61 (2.61) Acct: 4.28 (4.28) proj_loss: -0.5472 (-0.5472) time: 0.3638 data: 0.0003 [11-23 03:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.33 Lm: 6.804 (6.804) Lt: 6.101 (6.101) Accm: 2.67 (2.67) Acct: 4.28 (4.28) proj_loss: -0.5438 (-0.5438) time: 0.3638 data: 0.0002 [11-23 03:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.33 Lm: 6.852 (6.852) Lt: 6.216 (6.216) Accm: 2.49 (2.49) Acct: 3.85 (3.85) proj_loss: -0.5576 (-0.5576) time: 0.3638 data: 0.0002 [11-23 03:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.33 Lm: 6.891 (6.891) Lt: 6.212 (6.212) Accm: 2.34 (2.34) Acct: 3.71 (3.71) proj_loss: -0.5442 (-0.5442) time: 0.3638 data: 0.0002 [11-23 03:57:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.37 Lm: 6.918 (6.928) Lt: 6.228 (6.282) Accm: 2.34 (2.28) Acct: 3.63 (3.52) proj_loss: -0.5530 (-0.5524) time: 0.3629 data: 0.0003 [11-23 03:57:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.37 Lm: 6.856 (6.846) Lt: 6.140 (6.175) Accm: 2.56 (2.53) Acct: 4.15 (4.02) proj_loss: -0.5466 (-0.5503) time: 0.3629 data: 0.0002 [11-23 03:57:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.37 Lm: 6.858 (6.873) Lt: 6.183 (6.206) Accm: 2.43 (2.52) Acct: 4.08 (4.03) proj_loss: -0.5509 (-0.5491) time: 0.3629 data: 0.0004 [11-23 03:57:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.37 Lm: 6.969 (6.898) Lt: 6.363 (6.276) Accm: 2.32 (2.30) Acct: 3.62 (3.56) proj_loss: -0.5627 (-0.5593) time: 0.3629 data: 0.0003 [11-23 04:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.35 Lm: 6.892 (6.877) Lt: 6.275 (6.254) Accm: 2.43 (2.36) Acct: 3.85 (3.69) proj_loss: -0.5639 (-0.5610) time: 0.3596 data: 0.0002 [11-23 04:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.35 Lm: 6.891 (6.899) Lt: 6.212 (6.231) Accm: 2.34 (2.42) Acct: 3.71 (3.78) proj_loss: -0.5583 (-0.5552) time: 0.3596 data: 0.0003 [11-23 04:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.35 Lm: 6.880 (6.860) Lt: 6.203 (6.197) Accm: 2.47 (2.49) Acct: 3.95 (3.96) proj_loss: -0.5508 (-0.5515) time: 0.3596 data: 0.0003 [11-23 04:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.35 Lm: 6.857 (6.869) Lt: 6.179 (6.190) Accm: 2.44 (2.50) Acct: 4.02 (4.01) proj_loss: -0.5519 (-0.5554) time: 0.3596 data: 0.0003 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.857 (6.852) Lt: 6.175 (6.170) Accm: 2.45 (2.55) Acct: 4.08 (4.05) proj_loss: -0.5509 (-0.5529) time: 0.4049 data: 0.0016 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:24 (0.374 s / it) [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.864 (6.872) Lt: 6.196 (6.196) Accm: 2.35 (2.56) Acct: 3.79 (4.02) proj_loss: -0.5623 (-0.5566) time: 0.4049 data: 0.0016 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.853 (6.872) Lt: 6.187 (6.234) Accm: 2.40 (2.37) Acct: 4.05 (3.76) proj_loss: -0.5627 (-0.5595) time: 0.4049 data: 0.0017 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.856 (6.850) Lt: 6.140 (6.173) Accm: 2.56 (2.52) Acct: 4.15 (3.99) proj_loss: -0.5471 (-0.5506) time: 0.4049 data: 0.0018 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:24 (0.374 s / it) [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:24 (0.374 s / it) [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:24 (0.374 s / it) [11-23 04:02:53] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.860 (6.866), Lt: 6.178 (6.192), Acc m&t: 2.48 3.89, Remain: 1 day, 22:46:52, Finish: 2024-11-24 10:49 [11-23 04:02:53] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.860 (6.866), Lt: 6.178 (6.192), Acc m&t: 2.48 3.89, Remain: 1 day, 22:46:35, Finish: 2024-11-24 10:49 [11-23 04:02:53] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.860 (6.866), Lt: 6.178 (6.192), Acc m&t: 2.48 3.89, Remain: 1 day, 22:46:46, Finish: 2024-11-24 10:49 [11-23 04:02:53] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.860 (6.866), Lt: 6.178 (6.192), Acc m&t: 2.48 3.89, Remain: 1 day, 22:45:57, Finish: 2024-11-24 10:48 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.33 Lm: 6.941 (6.941) Lt: 6.252 (6.252) Accm: 2.18 (2.18) Acct: 3.22 (3.22) proj_loss: -0.5586 (-0.5586) time: 0.3460 data: 0.0003 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:38 tlr: 0.0002 tnm: 0.33 Lm: 6.673 (6.673) Lt: 5.953 (5.953) Accm: 3.21 (3.21) Acct: 4.99 (4.99) proj_loss: -0.5443 (-0.5443) time: 0.3465 data: 0.0003 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.33 Lm: 6.764 (6.764) Lt: 6.093 (6.093) Accm: 2.83 (2.83) Acct: 3.93 (3.93) proj_loss: -0.5474 (-0.5474) time: 0.3463 data: 0.0004 [11-23 04:02:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:38 tlr: 0.0002 tnm: 0.33 Lm: 7.045 (7.045) Lt: 6.403 (6.403) Accm: 1.89 (1.89) Acct: 2.93 (2.93) proj_loss: -0.5530 (-0.5530) time: 0.3466 data: 0.0004 [11-23 04:05:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:43 tlr: 0.0002 tnm: 0.37 Lm: 6.882 (6.882) Lt: 6.169 (6.169) Accm: 2.40 (2.40) Acct: 3.80 (3.80) proj_loss: -0.5500 (-0.5500) time: 0.3600 data: 0.0002 [11-23 04:05:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:43 tlr: 0.0002 tnm: 0.37 Lm: 6.870 (6.870) Lt: 6.200 (6.200) Accm: 2.56 (2.56) Acct: 3.83 (3.83) proj_loss: -0.5511 (-0.5511) time: 0.3600 data: 0.0003 [11-23 04:05:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:43 tlr: 0.0002 tnm: 0.37 Lm: 6.832 (6.832) Lt: 6.135 (6.135) Accm: 2.49 (2.49) Acct: 3.68 (3.68) proj_loss: -0.5611 (-0.5611) time: 0.3600 data: 0.0002 [11-23 04:05:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:43 tlr: 0.0002 tnm: 0.37 Lm: 6.785 (6.785) Lt: 6.102 (6.102) Accm: 2.82 (2.82) Acct: 4.30 (4.30) proj_loss: -0.5437 (-0.5437) time: 0.3600 data: 0.0002 [11-23 04:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:07 tlr: 0.0002 tnm: 0.36 Lm: 6.968 (6.902) Lt: 6.307 (6.243) Accm: 2.29 (2.41) Acct: 3.74 (3.59) proj_loss: -0.5548 (-0.5570) time: 0.3633 data: 0.0003 [11-23 04:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:07 tlr: 0.0002 tnm: 0.36 Lm: 6.840 (6.835) Lt: 6.143 (6.138) Accm: 2.72 (2.57) Acct: 4.13 (3.93) proj_loss: -0.5586 (-0.5529) time: 0.3633 data: 0.0002 [11-23 04:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:07 tlr: 0.0002 tnm: 0.36 Lm: 6.748 (6.772) Lt: 6.099 (6.101) Accm: 2.67 (2.77) Acct: 3.99 (4.20) proj_loss: -0.5443 (-0.5521) time: 0.3633 data: 0.0004 [11-23 04:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:07 tlr: 0.0002 tnm: 0.36 Lm: 6.820 (6.861) Lt: 6.178 (6.172) Accm: 2.67 (2.49) Acct: 4.17 (3.92) proj_loss: -0.5471 (-0.5465) time: 0.3633 data: 0.0003 [11-23 04:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.36 Lm: 6.885 (6.883) Lt: 6.219 (6.194) Accm: 2.55 (2.47) Acct: 3.98 (3.89) proj_loss: -0.5433 (-0.5418) time: 0.3641 data: 0.0003 [11-23 04:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.36 Lm: 6.971 (6.937) Lt: 6.319 (6.276) Accm: 2.20 (2.31) Acct: 3.43 (3.47) proj_loss: -0.5529 (-0.5555) time: 0.3641 data: 0.0003 [11-23 04:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.36 Lm: 6.813 (6.799) Lt: 6.157 (6.130) Accm: 2.55 (2.66) Acct: 3.85 (4.07) proj_loss: -0.5521 (-0.5540) time: 0.3641 data: 0.0003 [11-23 04:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.36 Lm: 6.891 (6.894) Lt: 6.198 (6.232) Accm: 2.45 (2.38) Acct: 3.68 (3.66) proj_loss: -0.5611 (-0.5587) time: 0.3641 data: 0.0003 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.840 (6.860) Lt: 6.143 (6.186) Accm: 2.72 (2.48) Acct: 4.13 (3.85) proj_loss: -0.5586 (-0.5584) time: 0.3648 data: 0.0016 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:09 (0.365 s / it) [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.879 (6.821) Lt: 6.216 (6.150) Accm: 2.42 (2.59) Acct: 3.70 (3.96) proj_loss: -0.5599 (-0.5566) time: 0.3647 data: 0.0019 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.968 (6.922) Lt: 6.307 (6.252) Accm: 2.29 (2.31) Acct: 3.74 (3.53) proj_loss: -0.5547 (-0.5553) time: 0.3648 data: 0.0020 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.950 (6.905) Lt: 6.260 (6.230) Accm: 2.42 (2.40) Acct: 3.79 (3.76) proj_loss: -0.5395 (-0.5404) time: 0.3647 data: 0.0022 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:09 (0.365 s / it) [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:09 (0.365 s / it) [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:09 (0.365 s / it) [11-23 04:13:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.860 (6.865), Lt: 6.178 (6.185), Acc m&t: 2.48 3.89, Remain: 1 day, 22:47:36, Finish: 2024-11-24 11:00 [11-23 04:13:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.860 (6.865), Lt: 6.178 (6.185), Acc m&t: 2.48 3.89, Remain: 1 day, 22:45:44, Finish: 2024-11-24 10:58 [11-23 04:13:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.860 (6.865), Lt: 6.178 (6.185), Acc m&t: 2.48 3.89, Remain: 1 day, 22:46:36, Finish: 2024-11-24 10:59 [11-23 04:13:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.860 (6.865), Lt: 6.178 (6.185), Acc m&t: 2.48 3.89, Remain: 1 day, 22:47:03, Finish: 2024-11-24 11:00 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:36 tlr: 0.0002 tnm: 0.34 Lm: 6.807 (6.807) Lt: 6.119 (6.119) Accm: 2.69 (2.69) Acct: 4.17 (4.17) proj_loss: -0.5414 (-0.5414) time: 0.3457 data: 0.0004 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.34 Lm: 6.919 (6.919) Lt: 6.268 (6.268) Accm: 2.13 (2.13) Acct: 3.27 (3.27) proj_loss: -0.5263 (-0.5263) time: 0.3460 data: 0.0004 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:38 tlr: 0.0002 tnm: 0.34 Lm: 6.770 (6.770) Lt: 6.041 (6.041) Accm: 2.49 (2.49) Acct: 4.27 (4.27) proj_loss: -0.5525 (-0.5525) time: 0.3463 data: 0.0004 [11-23 04:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:36 tlr: 0.0002 tnm: 0.34 Lm: 6.947 (6.947) Lt: 6.257 (6.257) Accm: 2.43 (2.43) Acct: 3.81 (3.81) proj_loss: -0.5512 (-0.5512) time: 0.3457 data: 0.0004 [11-23 04:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.889 (6.889) Lt: 6.193 (6.193) Accm: 2.35 (2.35) Acct: 3.75 (3.75) proj_loss: -0.5468 (-0.5468) time: 0.3619 data: 0.0003 [11-23 04:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.886 (6.886) Lt: 6.225 (6.225) Accm: 2.24 (2.24) Acct: 3.46 (3.46) proj_loss: -0.5452 (-0.5452) time: 0.3619 data: 0.0003 [11-23 04:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.809 (6.809) Lt: 6.118 (6.118) Accm: 2.66 (2.66) Acct: 4.04 (4.04) proj_loss: -0.5320 (-0.5320) time: 0.3619 data: 0.0003 [11-23 04:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.859 (6.859) Lt: 6.156 (6.156) Accm: 2.51 (2.51) Acct: 4.02 (4.02) proj_loss: -0.5485 (-0.5485) time: 0.3620 data: 0.0003 [11-23 04:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.872 (6.863) Lt: 6.201 (6.171) Accm: 2.49 (2.45) Acct: 3.77 (3.87) proj_loss: -0.5525 (-0.5573) time: 0.3607 data: 0.0003 [11-23 04:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.811 (6.827) Lt: 6.119 (6.138) Accm: 2.62 (2.58) Acct: 3.91 (3.95) proj_loss: -0.5414 (-0.5395) time: 0.3607 data: 0.0003 [11-23 04:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.892 (6.890) Lt: 6.242 (6.209) Accm: 2.42 (2.37) Acct: 3.70 (3.70) proj_loss: -0.5423 (-0.5446) time: 0.3607 data: 0.0003 [11-23 04:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.916 (6.896) Lt: 6.183 (6.200) Accm: 2.24 (2.24) Acct: 3.65 (3.58) proj_loss: -0.5446 (-0.5450) time: 0.3607 data: 0.0003 [11-23 04:20:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.885 (6.846) Lt: 6.166 (6.149) Accm: 2.30 (2.34) Acct: 3.73 (3.72) proj_loss: -0.5543 (-0.5520) time: 0.3681 data: 0.0003 [11-23 04:20:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.818 (6.827) Lt: 6.120 (6.134) Accm: 2.52 (2.49) Acct: 3.85 (3.88) proj_loss: -0.5476 (-0.5430) time: 0.3681 data: 0.0003 [11-23 04:20:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.901 (6.880) Lt: 6.235 (6.196) Accm: 2.44 (2.43) Acct: 3.77 (3.84) proj_loss: -0.5632 (-0.5614) time: 0.3681 data: 0.0002 [11-23 04:20:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.883 (6.886) Lt: 6.208 (6.201) Accm: 2.42 (2.40) Acct: 3.75 (3.77) proj_loss: -0.5468 (-0.5493) time: 0.3681 data: 0.0002 [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.874 (6.876) Lt: 6.188 (6.198) Accm: 2.42 (2.39) Acct: 3.70 (3.76) proj_loss: -0.5512 (-0.5499) time: 0.3644 data: 0.0018 [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:05 (0.363 s / it) [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.876 (6.852) Lt: 6.183 (6.160) Accm: 2.24 (2.30) Acct: 3.65 (3.66) proj_loss: -0.5612 (-0.5538) time: 0.3643 data: 0.0015 [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.825 (6.833) Lt: 6.121 (6.139) Accm: 2.62 (2.52) Acct: 3.91 (3.93) proj_loss: -0.5537 (-0.5493) time: 0.3644 data: 0.0020 [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.929 (6.894) Lt: 6.269 (6.222) Accm: 2.40 (2.39) Acct: 3.77 (3.72) proj_loss: -0.5672 (-0.5626) time: 0.3644 data: 0.0019 [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:05 (0.363 s / it) [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:05 (0.363 s / it) [11-23 04:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:05 (0.363 s / it) [11-23 04:23:07] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.860 (6.863), Lt: 6.178 (6.188), Acc m&t: 2.48 3.89, Remain: 1 day, 22:51:00, Finish: 2024-11-24 11:14 [11-23 04:23:07] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.860 (6.863), Lt: 6.178 (6.188), Acc m&t: 2.48 3.89, Remain: 1 day, 22:49:51, Finish: 2024-11-24 11:12 [11-23 04:23:07] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.860 (6.863), Lt: 6.178 (6.188), Acc m&t: 2.48 3.89, Remain: 1 day, 22:49:36, Finish: 2024-11-24 11:12 [11-23 04:23:07] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.860 (6.863), Lt: 6.178 (6.188), Acc m&t: 2.48 3.89, Remain: 1 day, 22:49:36, Finish: 2024-11-24 11:12 [11-23 04:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:04 tlr: 0.0002 tnm: 0.36 Lm: 6.936 (6.936) Lt: 6.231 (6.231) Accm: 2.38 (2.38) Acct: 4.01 (4.01) proj_loss: -0.5561 (-0.5561) time: 0.3624 data: 0.0003 [11-23 04:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:05 tlr: 0.0002 tnm: 0.36 Lm: 6.899 (6.899) Lt: 6.257 (6.257) Accm: 2.29 (2.29) Acct: 3.62 (3.62) proj_loss: -0.5640 (-0.5640) time: 0.3631 data: 0.0002 [11-23 04:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:05 tlr: 0.0002 tnm: 0.36 Lm: 6.806 (6.806) Lt: 6.087 (6.087) Accm: 2.80 (2.80) Acct: 4.46 (4.46) proj_loss: -0.5534 (-0.5534) time: 0.3627 data: 0.0004 [11-23 04:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:06 tlr: 0.0002 tnm: 0.36 Lm: 6.743 (6.743) Lt: 6.042 (6.042) Accm: 2.95 (2.95) Acct: 4.68 (4.68) proj_loss: -0.5534 (-0.5534) time: 0.3633 data: 0.0003 [11-23 04:25:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.831 (6.831) Lt: 6.159 (6.159) Accm: 2.62 (2.62) Acct: 4.23 (4.23) proj_loss: -0.5616 (-0.5616) time: 0.3644 data: 0.0003 [11-23 04:25:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.805 (6.805) Lt: 6.088 (6.088) Accm: 2.75 (2.75) Acct: 4.56 (4.56) proj_loss: -0.5521 (-0.5521) time: 0.3644 data: 0.0003 [11-23 04:25:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.907 (6.907) Lt: 6.308 (6.308) Accm: 2.33 (2.33) Acct: 3.53 (3.53) proj_loss: -0.5679 (-0.5679) time: 0.3644 data: 0.0002 [11-23 04:25:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.813 (6.813) Lt: 6.113 (6.113) Accm: 2.71 (2.71) Acct: 4.24 (4.24) proj_loss: -0.5500 (-0.5500) time: 0.3644 data: 0.0003 [11-23 04:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.820 (6.836) Lt: 6.139 (6.150) Accm: 2.62 (2.66) Acct: 4.03 (4.02) proj_loss: -0.5534 (-0.5565) time: 0.3620 data: 0.0003 [11-23 04:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.838 (6.816) Lt: 6.165 (6.113) Accm: 2.43 (2.65) Acct: 4.01 (4.36) proj_loss: -0.5534 (-0.5526) time: 0.3620 data: 0.0003 [11-23 04:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.899 (6.871) Lt: 6.257 (6.237) Accm: 2.37 (2.43) Acct: 3.62 (3.69) proj_loss: -0.5640 (-0.5608) time: 0.3620 data: 0.0003 [11-23 04:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.863 (6.842) Lt: 6.199 (6.172) Accm: 2.64 (2.63) Acct: 4.18 (4.21) proj_loss: -0.5556 (-0.5596) time: 0.3620 data: 0.0003 [11-23 04:30:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.35 Lm: 6.835 (6.833) Lt: 6.137 (6.148) Accm: 2.55 (2.58) Acct: 3.98 (4.06) proj_loss: -0.5572 (-0.5594) time: 0.4092 data: 0.0003 [11-23 04:30:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.35 Lm: 6.851 (6.865) Lt: 6.181 (6.178) Accm: 2.59 (2.51) Acct: 3.81 (3.84) proj_loss: -0.5527 (-0.5554) time: 0.4092 data: 0.0003 [11-23 04:30:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.35 Lm: 6.907 (6.914) Lt: 6.308 (6.280) Accm: 2.33 (2.30) Acct: 3.53 (3.50) proj_loss: -0.5554 (-0.5573) time: 0.4092 data: 0.0003 [11-23 04:30:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.35 Lm: 6.834 (6.820) Lt: 6.108 (6.098) Accm: 2.47 (2.61) Acct: 4.02 (4.28) proj_loss: -0.5508 (-0.5494) time: 0.4092 data: 0.0003 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.838 (6.837) Lt: 6.165 (6.126) Accm: 2.51 (2.59) Acct: 4.01 (4.21) proj_loss: -0.5534 (-0.5508) time: 0.4095 data: 0.0014 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:27 (0.376 s / it) [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.881 (6.878) Lt: 6.223 (6.199) Accm: 2.56 (2.50) Acct: 3.84 (3.84) proj_loss: -0.5521 (-0.5519) time: 0.4095 data: 0.0020 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.915 (6.932) Lt: 6.343 (6.292) Accm: 2.29 (2.29) Acct: 3.44 (3.49) proj_loss: -0.5620 (-0.5583) time: 0.4095 data: 0.0017 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.806 (6.827) Lt: 6.106 (6.139) Accm: 2.64 (2.62) Acct: 4.18 (4.09) proj_loss: -0.5566 (-0.5588) time: 0.4095 data: 0.0016 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:27 (0.376 s / it) [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:27 (0.376 s / it) [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:27 (0.376 s / it) [11-23 04:33:35] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.860 (6.871), Lt: 6.178 (6.191), Acc m&t: 2.48 3.89, Remain: 1 day, 22:29:01, Finish: 2024-11-24 11:02 [11-23 04:33:35] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.860 (6.871), Lt: 6.178 (6.191), Acc m&t: 2.48 3.89, Remain: 1 day, 22:29:43, Finish: 2024-11-24 11:03 [11-23 04:33:35] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.860 (6.871), Lt: 6.178 (6.191), Acc m&t: 2.48 3.89, Remain: 1 day, 22:30:39, Finish: 2024-11-24 11:04 [11-23 04:33:35] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.860 (6.871), Lt: 6.178 (6.191), Acc m&t: 2.48 3.89, Remain: 1 day, 22:30:42, Finish: 2024-11-24 11:04 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:36 tlr: 0.0002 tnm: 0.37 Lm: 6.894 (6.894) Lt: 6.253 (6.253) Accm: 2.34 (2.34) Acct: 3.62 (3.62) proj_loss: -0.5672 (-0.5672) time: 0.3453 data: 0.0003 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:36 tlr: 0.0002 tnm: 0.37 Lm: 6.743 (6.743) Lt: 6.065 (6.065) Accm: 2.75 (2.75) Acct: 4.15 (4.15) proj_loss: -0.5526 (-0.5526) time: 0.3457 data: 0.0004 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.37 Lm: 6.867 (6.867) Lt: 6.213 (6.213) Accm: 2.20 (2.20) Acct: 3.50 (3.50) proj_loss: -0.5759 (-0.5759) time: 0.3457 data: 0.0003 [11-23 04:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.37 Lm: 7.000 (7.000) Lt: 6.336 (6.336) Accm: 2.21 (2.21) Acct: 3.55 (3.55) proj_loss: -0.5474 (-0.5474) time: 0.3460 data: 0.0004 [11-23 04:36:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.36 Lm: 6.924 (6.924) Lt: 6.254 (6.254) Accm: 2.35 (2.35) Acct: 3.73 (3.73) proj_loss: -0.5511 (-0.5511) time: 0.3604 data: 0.0003 [11-23 04:36:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.36 Lm: 6.713 (6.713) Lt: 6.043 (6.043) Accm: 2.71 (2.71) Acct: 3.99 (3.99) proj_loss: -0.5595 (-0.5595) time: 0.3604 data: 0.0003 [11-23 04:36:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.36 Lm: 6.788 (6.788) Lt: 6.090 (6.090) Accm: 2.43 (2.43) Acct: 3.71 (3.71) proj_loss: -0.5660 (-0.5660) time: 0.3604 data: 0.0003 [11-23 04:36:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.36 Lm: 6.795 (6.795) Lt: 6.140 (6.140) Accm: 2.65 (2.65) Acct: 4.17 (4.17) proj_loss: -0.5520 (-0.5520) time: 0.3604 data: 0.0002 [11-23 04:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:05 tlr: 0.0002 tnm: 0.33 Lm: 6.750 (6.780) Lt: 6.089 (6.123) Accm: 2.91 (2.74) Acct: 4.39 (4.24) proj_loss: -0.5672 (-0.5588) time: 0.3625 data: 0.0003 [11-23 04:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:05 tlr: 0.0002 tnm: 0.33 Lm: 6.847 (6.878) Lt: 6.172 (6.197) Accm: 2.48 (2.44) Acct: 3.91 (3.86) proj_loss: -0.5549 (-0.5577) time: 0.3625 data: 0.0003 [11-23 04:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:05 tlr: 0.0002 tnm: 0.33 Lm: 6.684 (6.703) Lt: 6.036 (6.041) Accm: 2.67 (2.70) Acct: 4.15 (4.04) proj_loss: -0.5647 (-0.5612) time: 0.3625 data: 0.0003 [11-23 04:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:05 tlr: 0.0002 tnm: 0.33 Lm: 6.867 (6.831) Lt: 6.204 (6.128) Accm: 2.47 (2.44) Acct: 3.93 (3.78) proj_loss: -0.5601 (-0.5640) time: 0.3625 data: 0.0003 [11-23 04:41:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.892 (6.875) Lt: 6.208 (6.180) Accm: 2.33 (2.36) Acct: 3.74 (3.72) proj_loss: -0.5657 (-0.5658) time: 0.3616 data: 0.0003 [11-23 04:41:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.862 (6.877) Lt: 6.201 (6.205) Accm: 2.55 (2.49) Acct: 3.94 (3.89) proj_loss: -0.5564 (-0.5577) time: 0.3616 data: 0.0003 [11-23 04:41:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.713 (6.751) Lt: 6.050 (6.085) Accm: 2.67 (2.59) Acct: 3.99 (3.94) proj_loss: -0.5586 (-0.5546) time: 0.3616 data: 0.0003 [11-23 04:41:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.779 (6.787) Lt: 6.113 (6.127) Accm: 2.76 (2.71) Acct: 4.23 (4.20) proj_loss: -0.5638 (-0.5592) time: 0.3616 data: 0.0003 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.808 (6.820) Lt: 6.138 (6.163) Accm: 2.62 (2.64) Acct: 4.06 (4.10) proj_loss: -0.5605 (-0.5578) time: 0.3651 data: 0.0017 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:08 (0.364 s / it) [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.876 (6.882) Lt: 6.230 (6.215) Accm: 2.48 (2.47) Acct: 3.91 (3.84) proj_loss: -0.5578 (-0.5586) time: 0.3651 data: 0.0019 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.743 (6.775) Lt: 6.065 (6.104) Accm: 2.67 (2.58) Acct: 4.15 (3.99) proj_loss: -0.5526 (-0.5538) time: 0.3651 data: 0.0020 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.917 (6.886) Lt: 6.213 (6.196) Accm: 2.45 (2.38) Acct: 3.75 (3.73) proj_loss: -0.5714 (-0.5686) time: 0.3651 data: 0.0020 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:08 (0.364 s / it) [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:08 (0.364 s / it) [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:08 (0.364 s / it) [11-23 04:43:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.858 (6.858), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:27:03, Finish: 2024-11-24 11:10 [11-23 04:43:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.858 (6.858), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:27:26, Finish: 2024-11-24 11:11 [11-23 04:43:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.858 (6.858), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:27:20, Finish: 2024-11-24 11:11 [11-23 04:43:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.858 (6.858), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:26:58, Finish: 2024-11-24 11:10 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:56 tlr: 0.0002 tnm: 0.32 Lm: 6.873 (6.873) Lt: 6.185 (6.185) Accm: 2.38 (2.38) Acct: 3.81 (3.81) proj_loss: -0.5470 (-0.5470) time: 0.3574 data: 0.0003 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:57 tlr: 0.0002 tnm: 0.32 Lm: 6.903 (6.903) Lt: 6.216 (6.216) Accm: 2.18 (2.18) Acct: 3.24 (3.24) proj_loss: -0.5653 (-0.5653) time: 0.3577 data: 0.0004 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:56 tlr: 0.0002 tnm: 0.32 Lm: 6.976 (6.976) Lt: 6.306 (6.306) Accm: 2.11 (2.11) Acct: 3.37 (3.37) proj_loss: -0.5826 (-0.5826) time: 0.3575 data: 0.0004 [11-23 04:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:57 tlr: 0.0002 tnm: 0.32 Lm: 6.840 (6.840) Lt: 6.114 (6.114) Accm: 2.68 (2.68) Acct: 4.10 (4.10) proj_loss: -0.5536 (-0.5536) time: 0.3578 data: 0.0003 [11-23 04:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.865 (6.865) Lt: 6.161 (6.161) Accm: 2.63 (2.63) Acct: 4.12 (4.12) proj_loss: -0.5512 (-0.5512) time: 0.3619 data: 0.0003 [11-23 04:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.892 (6.892) Lt: 6.212 (6.212) Accm: 2.28 (2.28) Acct: 3.40 (3.40) proj_loss: -0.5550 (-0.5550) time: 0.3619 data: 0.0003 [11-23 04:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.919 (6.919) Lt: 6.243 (6.243) Accm: 2.27 (2.27) Acct: 3.66 (3.66) proj_loss: -0.5521 (-0.5521) time: 0.3619 data: 0.0003 [11-23 04:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.913 (6.913) Lt: 6.235 (6.235) Accm: 2.37 (2.37) Acct: 3.70 (3.70) proj_loss: -0.5745 (-0.5745) time: 0.3619 data: 0.0003 [11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.35 Lm: 6.850 (6.848) Lt: 6.164 (6.162) Accm: 2.63 (2.49) Acct: 3.94 (3.78) proj_loss: -0.5696 (-0.5729) time: 0.3622 data: 0.0003 [11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.35 Lm: 6.889 (6.875) Lt: 6.208 (6.186) Accm: 2.57 (2.58) Acct: 4.10 (3.99) proj_loss: -0.5536 (-0.5522) time: 0.3622 data: 0.0003 [11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.35 Lm: 6.873 (6.864) Lt: 6.185 (6.184) Accm: 2.38 (2.40) Acct: 3.81 (3.81) proj_loss: -0.5571 (-0.5538) time: 0.3622 data: 0.0003 [11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.35 Lm: 6.892 (6.892) Lt: 6.216 (6.221) Accm: 2.38 (2.32) Acct: 3.56 (3.46) proj_loss: -0.5653 (-0.5621) time: 0.3622 data: 0.0003 [11-23 04:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.886 (6.886) Lt: 6.212 (6.214) Accm: 2.38 (2.33) Acct: 3.57 (3.52) proj_loss: -0.5626 (-0.5616) time: 0.3634 data: 0.0003 [11-23 04:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.814 (6.810) Lt: 6.127 (6.112) Accm: 2.52 (2.62) Acct: 3.96 (4.18) proj_loss: -0.5541 (-0.5531) time: 0.3634 data: 0.0003 [11-23 04:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.884 (6.876) Lt: 6.212 (6.194) Accm: 2.52 (2.54) Acct: 4.03 (3.99) proj_loss: -0.5540 (-0.5539) time: 0.3634 data: 0.0003 [11-23 04:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.802 (6.825) Lt: 6.092 (6.126) Accm: 2.68 (2.61) Acct: 3.99 (3.99) proj_loss: -0.5745 (-0.5745) time: 0.3634 data: 0.0002 [11-23 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.850 (6.833) Lt: 6.162 (6.133) Accm: 2.63 (2.56) Acct: 4.03 (4.00) proj_loss: -0.5696 (-0.5726) time: 0.3642 data: 0.0018 [11-23 04:53:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:06 (0.363 s / it) [11-23 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.806 (6.809) Lt: 6.152 (6.120) Accm: 2.65 (2.64) Acct: 4.12 (4.17) proj_loss: -0.5571 (-0.5584) time: 0.3642 data: 0.0016 [11-23 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.881 (6.868) Lt: 6.208 (6.194) Accm: 2.38 (2.44) Acct: 3.58 (3.71) proj_loss: -0.5653 (-0.5632) time: 0.3642 data: 0.0018 [11-23 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.879 (6.876) Lt: 6.208 (6.188) Accm: 2.48 (2.52) Acct: 3.96 (3.92) proj_loss: -0.5543 (-0.5546) time: 0.3642 data: 0.0019 [11-23 04:53:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:06 (0.363 s / it) [11-23 04:53:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:06 (0.363 s / it) [11-23 04:53:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:06 (0.363 s / it) [11-23 04:53:50] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.858 (6.859), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:08:12, Finish: 2024-11-24 11:02 [11-23 04:53:50] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.858 (6.859), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:07:02, Finish: 2024-11-24 11:00 [11-23 04:53:50] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.858 (6.859), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:07:28, Finish: 2024-11-24 11:01 [11-23 04:53:50] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.858 (6.859), Lt: 6.178 (6.180), Acc m&t: 2.48 3.89, Remain: 1 day, 22:09:00, Finish: 2024-11-24 11:02 [11-23 04:53:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:10:07 tlr: 0.0002 tnm: 0.35 Lm: 6.839 (6.839) Lt: 6.158 (6.158) Accm: 2.75 (2.75) Acct: 3.98 (3.98) proj_loss: -0.5502 (-0.5502) time: 0.3641 data: 0.0004 [11-23 04:53:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.35 Lm: 6.940 (6.940) Lt: 6.245 (6.245) Accm: 2.21 (2.21) Acct: 3.19 (3.19) proj_loss: -0.5567 (-0.5567) time: 0.3461 data: 0.0004 [11-23 04:53:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.35 Lm: 6.883 (6.883) Lt: 6.178 (6.178) Accm: 2.37 (2.37) Acct: 3.84 (3.84) proj_loss: -0.5436 (-0.5436) time: 0.3460 data: 0.0004 [11-23 04:53:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:09:37 tlr: 0.0002 tnm: 0.35 Lm: 6.878 (6.878) Lt: 6.232 (6.232) Accm: 2.65 (2.65) Acct: 3.75 (3.75) proj_loss: -0.5517 (-0.5517) time: 0.3460 data: 0.0004 [11-23 04:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.34 Lm: 6.875 (6.875) Lt: 6.202 (6.202) Accm: 2.49 (2.49) Acct: 3.68 (3.68) proj_loss: -0.5549 (-0.5549) time: 0.3618 data: 0.0003 [11-23 04:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.34 Lm: 6.875 (6.875) Lt: 6.187 (6.187) Accm: 2.57 (2.57) Acct: 3.84 (3.84) proj_loss: -0.5565 (-0.5565) time: 0.3618 data: 0.0003 [11-23 04:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.34 Lm: 6.855 (6.855) Lt: 6.169 (6.169) Accm: 2.47 (2.47) Acct: 3.72 (3.72) proj_loss: -0.5590 (-0.5590) time: 0.3618 data: 0.0002 [11-23 04:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.34 Lm: 6.821 (6.821) Lt: 6.097 (6.097) Accm: 2.66 (2.66) Acct: 4.27 (4.27) proj_loss: -0.5583 (-0.5583) time: 0.3618 data: 0.0003 [11-23 04:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.878 (6.916) Lt: 6.232 (6.243) Accm: 2.34 (2.36) Acct: 3.60 (3.60) proj_loss: -0.5582 (-0.5585) time: 0.3640 data: 0.0003 [11-23 04:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.878 (6.840) Lt: 6.178 (6.134) Accm: 2.37 (2.52) Acct: 3.84 (4.02) proj_loss: -0.5730 (-0.5647) time: 0.3640 data: 0.0003 [11-23 04:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.881 (6.877) Lt: 6.203 (6.192) Accm: 2.40 (2.52) Acct: 3.70 (3.78) proj_loss: -0.5627 (-0.5666) time: 0.3640 data: 0.0003 [11-23 04:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.769 (6.815) Lt: 6.092 (6.122) Accm: 2.67 (2.54) Acct: 4.03 (3.82) proj_loss: -0.5580 (-0.5586) time: 0.3640 data: 0.0002 [11-23 05:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.34 Lm: 6.807 (6.822) Lt: 6.131 (6.134) Accm: 2.53 (2.50) Acct: 3.89 (3.81) proj_loss: -0.5573 (-0.5561) time: 0.4091 data: 0.0003 [11-23 05:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.34 Lm: 6.860 (6.855) Lt: 6.180 (6.169) Accm: 2.55 (2.56) Acct: 3.84 (3.93) proj_loss: -0.5691 (-0.5688) time: 0.4091 data: 0.0003 [11-23 05:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.34 Lm: 6.878 (6.906) Lt: 6.217 (6.233) Accm: 2.34 (2.35) Acct: 3.58 (3.59) proj_loss: -0.5619 (-0.5604) time: 0.4091 data: 0.0003 [11-23 05:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:33 tlr: 0.0002 tnm: 0.34 Lm: 6.859 (6.840) Lt: 6.157 (6.134) Accm: 2.43 (2.51) Acct: 3.93 (4.02) proj_loss: -0.5649 (-0.5627) time: 0.4091 data: 0.0003 [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.840 (6.829) Lt: 6.136 (6.120) Accm: 2.49 (2.51) Acct: 4.03 (4.04) proj_loss: -0.5567 (-0.5603) time: 0.4053 data: 0.0017 [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:28 (0.377 s / it) [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.878 (6.908) Lt: 6.232 (6.249) Accm: 2.35 (2.35) Acct: 3.56 (3.58) proj_loss: -0.5656 (-0.5654) time: 0.4053 data: 0.0021 [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.881 (6.862) Lt: 6.166 (6.169) Accm: 2.40 (2.52) Acct: 3.86 (3.92) proj_loss: -0.5627 (-0.5676) time: 0.4053 data: 0.0019 [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.831 (6.824) Lt: 6.146 (6.136) Accm: 2.46 (2.49) Acct: 4.03 (3.85) proj_loss: -0.5580 (-0.5579) time: 0.4053 data: 0.0018 [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:28 (0.377 s / it) [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:28 (0.377 s / it) [11-23 05:04:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:28 (0.377 s / it) [11-23 05:04:18] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.858 (6.867), Lt: 6.178 (6.187), Acc m&t: 2.48 3.89, Remain: 1 day, 21:39:14, Finish: 2024-11-24 10:43 [11-23 05:04:18] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.858 (6.867), Lt: 6.178 (6.187), Acc m&t: 2.48 3.89, Remain: 1 day, 21:39:00, Finish: 2024-11-24 10:43 [11-23 05:04:18] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.858 (6.867), Lt: 6.178 (6.187), Acc m&t: 2.48 3.89, Remain: 1 day, 21:38:52, Finish: 2024-11-24 10:43 [11-23 05:04:18] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.858 (6.867), Lt: 6.178 (6.187), Acc m&t: 2.48 3.89, Remain: 1 day, 21:39:33, Finish: 2024-11-24 10:43 [11-23 05:04:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:02 tlr: 0.0002 tnm: 0.33 Lm: 6.945 (6.945) Lt: 6.268 (6.268) Accm: 2.49 (2.49) Acct: 3.98 (3.98) proj_loss: -0.5834 (-0.5834) time: 0.3611 data: 0.0004 [11-23 05:04:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:04 tlr: 0.0002 tnm: 0.33 Lm: 6.834 (6.834) Lt: 6.124 (6.124) Accm: 2.67 (2.67) Acct: 4.25 (4.25) proj_loss: -0.5469 (-0.5469) time: 0.3619 data: 0.0004 [11-23 05:04:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:03 tlr: 0.0002 tnm: 0.33 Lm: 7.019 (7.019) Lt: 6.363 (6.363) Accm: 2.01 (2.01) Acct: 3.03 (3.03) proj_loss: -0.5469 (-0.5469) time: 0.3618 data: 0.0004 [11-23 05:04:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:04 tlr: 0.0002 tnm: 0.33 Lm: 6.810 (6.810) Lt: 6.099 (6.099) Accm: 2.57 (2.57) Acct: 3.99 (3.99) proj_loss: -0.5640 (-0.5640) time: 0.3625 data: 0.0003 [11-23 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.33 Lm: 6.832 (6.832) Lt: 6.122 (6.122) Accm: 2.59 (2.59) Acct: 4.11 (4.11) proj_loss: -0.5656 (-0.5656) time: 0.3628 data: 0.0003 [11-23 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.33 Lm: 6.959 (6.959) Lt: 6.295 (6.295) Accm: 2.15 (2.15) Acct: 3.27 (3.27) proj_loss: -0.5535 (-0.5535) time: 0.3628 data: 0.0003 [11-23 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.33 Lm: 6.936 (6.936) Lt: 6.251 (6.251) Accm: 2.49 (2.49) Acct: 3.87 (3.87) proj_loss: -0.5741 (-0.5741) time: 0.3628 data: 0.0003 [11-23 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.33 Lm: 6.868 (6.868) Lt: 6.186 (6.186) Accm: 2.52 (2.52) Acct: 3.85 (3.85) proj_loss: -0.5540 (-0.5540) time: 0.3628 data: 0.0003 [11-23 05:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.33 Lm: 6.855 (6.864) Lt: 6.163 (6.178) Accm: 2.67 (2.61) Acct: 4.25 (4.06) proj_loss: -0.5543 (-0.5541) time: 0.3628 data: 0.0003 [11-23 05:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.33 Lm: 6.905 (6.941) Lt: 6.226 (6.270) Accm: 2.28 (2.25) Acct: 3.51 (3.41) proj_loss: -0.5602 (-0.5564) time: 0.3628 data: 0.0003 [11-23 05:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.33 Lm: 6.945 (6.940) Lt: 6.268 (6.279) Accm: 2.49 (2.39) Acct: 3.77 (3.71) proj_loss: -0.5746 (-0.5743) time: 0.3628 data: 0.0002 [11-23 05:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.33 Lm: 6.827 (6.830) Lt: 6.099 (6.107) Accm: 2.57 (2.56) Acct: 4.15 (4.12) proj_loss: -0.5640 (-0.5630) time: 0.3628 data: 0.0003 [11-23 05:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.840 (6.856) Lt: 6.122 (6.149) Accm: 2.55 (2.52) Acct: 4.07 (4.03) proj_loss: -0.5610 (-0.5587) time: 0.3648 data: 0.0002 [11-23 05:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.936 (6.920) Lt: 6.251 (6.264) Accm: 2.49 (2.43) Acct: 3.78 (3.73) proj_loss: -0.5697 (-0.5684) time: 0.3648 data: 0.0003 [11-23 05:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.879 (6.880) Lt: 6.205 (6.199) Accm: 2.52 (2.51) Acct: 3.85 (3.90) proj_loss: -0.5506 (-0.5520) time: 0.3648 data: 0.0003 [11-23 05:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.915 (6.937) Lt: 6.272 (6.282) Accm: 2.31 (2.27) Acct: 3.52 (3.44) proj_loss: -0.5611 (-0.5600) time: 0.3648 data: 0.0003 [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.905 (6.889) Lt: 6.226 (6.225) Accm: 2.33 (2.42) Acct: 3.53 (3.67) proj_loss: -0.5602 (-0.5584) time: 0.3638 data: 0.0019 [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:06 (0.363 s / it) [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.827 (6.840) Lt: 6.099 (6.133) Accm: 2.57 (2.57) Acct: 4.15 (4.09) proj_loss: -0.5640 (-0.5616) time: 0.3638 data: 0.0017 [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.927 (6.912) Lt: 6.234 (6.257) Accm: 2.49 (2.44) Acct: 3.77 (3.69) proj_loss: -0.5648 (-0.5665) time: 0.3638 data: 0.0016 [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.902 (6.893) Lt: 6.247 (6.212) Accm: 2.38 (2.45) Acct: 3.44 (3.79) proj_loss: -0.5469 (-0.5499) time: 0.3638 data: 0.0016 [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:06 (0.363 s / it) [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:06 (0.363 s / it) [11-23 05:14:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:06 (0.363 s / it) [11-23 05:16:30] (home/user/VAR/trainer.py, line 114)=> FID: 5.250932118751734 [11-23 05:16:31] (/home/user/VAR/train.py , line 259)=> [*] [ep79] (val 50000) Lm: 6.8530, Lt: 6.1737, Acc m&t: 2.51 3.92, Val cost: 125.49s [11-23 05:16:31] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 05:16:46] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.853 (6.853), Lt: 6.174 (6.174), Acc m&t: 2.51 3.92, Remain: 1 day, 21:45:09, Finish: 2024-11-24 10:59 [11-23 05:16:46] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.853 (6.853), Lt: 6.174 (6.174), Acc m&t: 2.51 3.92, Remain: 1 day, 21:45:36, Finish: 2024-11-24 11:00 [11-23 05:16:46] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.853 (6.853), Lt: 6.174 (6.174), Acc m&t: 2.51 3.92, Remain: 1 day, 21:45:20, Finish: 2024-11-24 10:59 [11-23 05:16:46] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.853 (6.853), Lt: 6.174 (6.174), Acc m&t: 2.51 3.92, Remain: 1 day, 21:45:25, Finish: 2024-11-24 10:59 [11-23 05:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:09:31 tlr: 0.0002 tnm: 0.34 Lm: 6.820 (6.820) Lt: 6.027 (6.027) Accm: 2.73 (2.73) Acct: 4.79 (4.79) proj_loss: -0.5345 (-0.5345) time: 0.3422 data: 0.0004 [11-23 05:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:10:17 tlr: 0.0002 tnm: 0.34 Lm: 6.829 (6.829) Lt: 6.158 (6.158) Accm: 2.43 (2.43) Acct: 3.74 (3.74) proj_loss: -0.5557 (-0.5557) time: 0.3701 data: 0.0003 [11-23 05:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:09:33 tlr: 0.0002 tnm: 0.34 Lm: 6.892 (6.892) Lt: 6.233 (6.233) Accm: 2.44 (2.44) Acct: 3.91 (3.91) proj_loss: -0.5677 (-0.5677) time: 0.3438 data: 0.0004 [11-23 05:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:10:03 tlr: 0.0002 tnm: 0.34 Lm: 6.928 (6.928) Lt: 6.299 (6.299) Accm: 2.33 (2.33) Acct: 3.55 (3.55) proj_loss: -0.5694 (-0.5694) time: 0.3616 data: 0.0004 [11-23 05:19:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.34 Lm: 6.882 (6.882) Lt: 6.236 (6.236) Accm: 2.37 (2.37) Acct: 3.61 (3.61) proj_loss: -0.5689 (-0.5689) time: 0.3648 data: 0.0003 [11-23 05:19:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.34 Lm: 6.815 (6.815) Lt: 6.153 (6.153) Accm: 2.60 (2.60) Acct: 3.98 (3.98) proj_loss: -0.5573 (-0.5573) time: 0.3648 data: 0.0003 [11-23 05:19:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.34 Lm: 6.856 (6.856) Lt: 6.187 (6.187) Accm: 2.69 (2.69) Acct: 4.24 (4.24) proj_loss: -0.5684 (-0.5684) time: 0.3648 data: 0.0003 [11-23 05:19:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.34 Lm: 6.842 (6.842) Lt: 6.103 (6.103) Accm: 2.60 (2.60) Acct: 4.35 (4.35) proj_loss: -0.5498 (-0.5498) time: 0.3648 data: 0.0003 [11-23 05:21:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.864 (6.866) Lt: 6.180 (6.157) Accm: 2.46 (2.51) Acct: 3.91 (4.07) proj_loss: -0.5652 (-0.5582) time: 0.3624 data: 0.0003 [11-23 05:21:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.892 (6.903) Lt: 6.233 (6.243) Accm: 2.44 (2.53) Acct: 3.91 (4.02) proj_loss: -0.5677 (-0.5665) time: 0.3624 data: 0.0003 [11-23 05:21:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.836 (6.853) Lt: 6.174 (6.188) Accm: 2.40 (2.40) Acct: 3.67 (3.76) proj_loss: -0.5685 (-0.5669) time: 0.3624 data: 0.0002 [11-23 05:21:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.829 (6.896) Lt: 6.158 (6.252) Accm: 2.43 (2.41) Acct: 3.74 (3.68) proj_loss: -0.5557 (-0.5555) time: 0.3624 data: 0.0003 [11-23 05:24:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.873 (6.901) Lt: 6.223 (6.261) Accm: 2.42 (2.41) Acct: 3.74 (3.69) proj_loss: -0.5558 (-0.5556) time: 0.3613 data: 0.0003 [11-23 05:24:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.874 (6.871) Lt: 6.191 (6.168) Accm: 2.41 (2.47) Acct: 3.93 (4.04) proj_loss: -0.5689 (-0.5619) time: 0.3613 data: 0.0003 [11-23 05:24:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.882 (6.879) Lt: 6.233 (6.214) Accm: 2.37 (2.39) Acct: 3.65 (3.73) proj_loss: -0.5689 (-0.5712) time: 0.3613 data: 0.0002 [11-23 05:24:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.856 (6.882) Lt: 6.187 (6.209) Accm: 2.52 (2.55) Acct: 3.93 (4.00) proj_loss: -0.5652 (-0.5624) time: 0.3613 data: 0.0003 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.892 (6.895) Lt: 6.233 (6.220) Accm: 2.44 (2.49) Acct: 3.91 (3.88) proj_loss: -0.5627 (-0.5613) time: 0.3645 data: 0.0018 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.836 (6.843) Lt: 6.174 (6.164) Accm: 2.40 (2.51) Acct: 3.67 (3.94) proj_loss: -0.5685 (-0.5706) time: 0.3645 data: 0.0016 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.883 (6.879) Lt: 6.202 (6.185) Accm: 2.36 (2.42) Acct: 3.91 (3.89) proj_loss: -0.5727 (-0.5651) time: 0.3645 data: 0.0019 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.829 (6.878) Lt: 6.158 (6.223) Accm: 2.43 (2.48) Acct: 3.74 (3.85) proj_loss: -0.5557 (-0.5516) time: 0.3645 data: 0.0019 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:26:52] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.853 (6.866), Lt: 6.174 (6.186), Acc m&t: 2.51 3.92, Remain: 1 day, 21:44:51, Finish: 2024-11-24 11:11 [11-23 05:26:52] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.853 (6.866), Lt: 6.174 (6.186), Acc m&t: 2.51 3.92, Remain: 1 day, 21:47:01, Finish: 2024-11-24 11:13 [11-23 05:26:52] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.853 (6.866), Lt: 6.174 (6.186), Acc m&t: 2.51 3.92, Remain: 1 day, 21:45:46, Finish: 2024-11-24 11:12 [11-23 05:26:52] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.853 (6.866), Lt: 6.174 (6.186), Acc m&t: 2.51 3.92, Remain: 1 day, 21:46:01, Finish: 2024-11-24 11:12 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:42 tlr: 0.0002 tnm: 0.34 Lm: 6.885 (6.885) Lt: 6.172 (6.172) Accm: 2.52 (2.52) Acct: 4.17 (4.17) proj_loss: -0.5651 (-0.5651) time: 0.3493 data: 0.0004 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:31 tlr: 0.0002 tnm: 0.34 Lm: 6.744 (6.744) Lt: 6.022 (6.022) Accm: 2.62 (2.62) Acct: 4.24 (4.24) proj_loss: -0.5776 (-0.5776) time: 0.3422 data: 0.0003 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:27 tlr: 0.0002 tnm: 0.34 Lm: 6.781 (6.781) Lt: 6.131 (6.131) Accm: 2.68 (2.68) Acct: 4.27 (4.27) proj_loss: -0.5534 (-0.5534) time: 0.3398 data: 0.0004 [11-23 05:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:27 tlr: 0.0002 tnm: 0.34 Lm: 6.706 (6.706) Lt: 6.004 (6.004) Accm: 2.93 (2.93) Acct: 4.63 (4.63) proj_loss: -0.5613 (-0.5613) time: 0.3400 data: 0.0004 [11-23 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.33 Lm: 6.830 (6.830) Lt: 6.175 (6.175) Accm: 2.56 (2.56) Acct: 4.02 (4.02) proj_loss: -0.5707 (-0.5707) time: 0.3608 data: 0.0002 [11-23 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.33 Lm: 6.824 (6.824) Lt: 6.122 (6.122) Accm: 2.52 (2.52) Acct: 4.05 (4.05) proj_loss: -0.5687 (-0.5687) time: 0.3608 data: 0.0003 [11-23 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.33 Lm: 6.840 (6.840) Lt: 6.146 (6.146) Accm: 2.58 (2.58) Acct: 4.05 (4.05) proj_loss: -0.5583 (-0.5583) time: 0.3608 data: 0.0003 [11-23 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.33 Lm: 6.852 (6.852) Lt: 6.179 (6.179) Accm: 2.53 (2.53) Acct: 3.85 (3.85) proj_loss: -0.5488 (-0.5488) time: 0.3608 data: 0.0003 [11-23 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.819 (6.841) Lt: 6.182 (6.180) Accm: 2.37 (2.46) Acct: 3.63 (3.78) proj_loss: -0.5534 (-0.5515) time: 0.3630 data: 0.0003 [11-23 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.905 (6.868) Lt: 6.222 (6.175) Accm: 2.42 (2.40) Acct: 3.86 (3.86) proj_loss: -0.5598 (-0.5642) time: 0.3631 data: 0.0003 [11-23 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.817 (6.833) Lt: 6.120 (6.130) Accm: 2.60 (2.59) Acct: 4.17 (4.11) proj_loss: -0.5515 (-0.5554) time: 0.3631 data: 0.0002 [11-23 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.833 (6.831) Lt: 6.165 (6.172) Accm: 2.56 (2.56) Acct: 4.10 (4.05) proj_loss: -0.5757 (-0.5724) time: 0.3631 data: 0.0002 [11-23 05:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:35 tlr: 0.0002 tnm: 0.36 Lm: 6.782 (6.806) Lt: 6.084 (6.121) Accm: 2.74 (2.66) Acct: 4.36 (4.27) proj_loss: -0.5686 (-0.5697) time: 0.4019 data: 0.0002 [11-23 05:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:35 tlr: 0.0002 tnm: 0.36 Lm: 6.840 (6.840) Lt: 6.109 (6.118) Accm: 2.60 (2.59) Acct: 4.20 (4.19) proj_loss: -0.5505 (-0.5489) time: 0.4019 data: 0.0003 [11-23 05:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:35 tlr: 0.0002 tnm: 0.36 Lm: 6.885 (6.867) Lt: 6.182 (6.166) Accm: 2.37 (2.38) Acct: 3.67 (3.74) proj_loss: -0.5574 (-0.5616) time: 0.4019 data: 0.0003 [11-23 05:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:35 tlr: 0.0002 tnm: 0.36 Lm: 6.871 (6.869) Lt: 6.204 (6.214) Accm: 2.35 (2.42) Acct: 3.58 (3.71) proj_loss: -0.5551 (-0.5579) time: 0.4019 data: 0.0003 [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.819 (6.851) Lt: 6.182 (6.188) Accm: 2.37 (2.50) Acct: 3.63 (3.79) proj_loss: -0.5569 (-0.5578) time: 0.3640 data: 0.0017 [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:29 (0.377 s / it) [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.866 (6.864) Lt: 6.178 (6.169) Accm: 2.42 (2.40) Acct: 3.86 (3.80) proj_loss: -0.5598 (-0.5641) time: 0.3641 data: 0.0020 [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.833 (6.832) Lt: 6.165 (6.156) Accm: 2.56 (2.59) Acct: 4.10 (4.19) proj_loss: -0.5615 (-0.5676) time: 0.3641 data: 0.0016 [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.817 (6.823) Lt: 6.098 (6.090) Accm: 2.61 (2.60) Acct: 4.17 (4.16) proj_loss: -0.5515 (-0.5504) time: 0.3640 data: 0.0016 [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:29 (0.377 s / it) [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:29 (0.377 s / it) [11-23 05:37:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:29 (0.377 s / it) [11-23 05:37:21] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.853 (6.853), Lt: 6.172 (6.172), Acc m&t: 2.51 3.92, Remain: 1 day, 21:17:47, Finish: 2024-11-24 10:55 [11-23 05:37:21] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.853 (6.853), Lt: 6.172 (6.172), Acc m&t: 2.51 3.92, Remain: 1 day, 21:17:58, Finish: 2024-11-24 10:55 [11-23 05:37:21] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.853 (6.853), Lt: 6.172 (6.172), Acc m&t: 2.51 3.92, Remain: 1 day, 21:19:08, Finish: 2024-11-24 10:56 [11-23 05:37:21] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.853 (6.853), Lt: 6.172 (6.172), Acc m&t: 2.51 3.92, Remain: 1 day, 21:17:46, Finish: 2024-11-24 10:55 [11-23 05:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:38 tlr: 0.0002 tnm: 0.34 Lm: 6.916 (6.916) Lt: 6.269 (6.269) Accm: 2.18 (2.18) Acct: 3.19 (3.19) proj_loss: -0.5514 (-0.5514) time: 0.3467 data: 0.0004 [11-23 05:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:42 tlr: 0.0002 tnm: 0.34 Lm: 6.782 (6.782) Lt: 6.091 (6.091) Accm: 2.53 (2.53) Acct: 3.58 (3.58) proj_loss: -0.5618 (-0.5618) time: 0.3489 data: 0.0004 [11-23 05:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:46 tlr: 0.0002 tnm: 0.34 Lm: 6.740 (6.740) Lt: 6.043 (6.043) Accm: 2.99 (2.99) Acct: 4.48 (4.48) proj_loss: -0.5779 (-0.5779) time: 0.3514 data: 0.0004 [11-23 05:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:46 tlr: 0.0002 tnm: 0.34 Lm: 6.790 (6.790) Lt: 6.145 (6.145) Accm: 2.65 (2.65) Acct: 4.15 (4.15) proj_loss: -0.5741 (-0.5741) time: 0.3514 data: 0.0003 [11-23 05:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.33 Lm: 6.862 (6.862) Lt: 6.217 (6.217) Accm: 2.38 (2.38) Acct: 3.72 (3.72) proj_loss: -0.5703 (-0.5703) time: 0.3655 data: 0.0002 [11-23 05:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.33 Lm: 6.828 (6.828) Lt: 6.160 (6.160) Accm: 2.41 (2.41) Acct: 3.60 (3.60) proj_loss: -0.5615 (-0.5615) time: 0.3654 data: 0.0003 [11-23 05:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.33 Lm: 6.835 (6.835) Lt: 6.177 (6.177) Accm: 2.44 (2.44) Acct: 3.70 (3.70) proj_loss: -0.5609 (-0.5609) time: 0.3655 data: 0.0003 [11-23 05:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.33 Lm: 6.838 (6.838) Lt: 6.148 (6.148) Accm: 2.71 (2.71) Acct: 4.17 (4.17) proj_loss: -0.5605 (-0.5605) time: 0.3655 data: 0.0003 [11-23 05:42:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.895 (6.857) Lt: 6.253 (6.188) Accm: 2.42 (2.55) Acct: 3.86 (3.92) proj_loss: -0.5779 (-0.5690) time: 0.3643 data: 0.0002 [11-23 05:42:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.875 (6.892) Lt: 6.230 (6.222) Accm: 2.29 (2.29) Acct: 3.58 (3.36) proj_loss: -0.5612 (-0.5613) time: 0.3643 data: 0.0003 [11-23 05:42:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.790 (6.816) Lt: 6.145 (6.141) Accm: 2.65 (2.55) Acct: 4.15 (4.06) proj_loss: -0.5664 (-0.5679) time: 0.3643 data: 0.0003 [11-23 05:42:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.839 (6.836) Lt: 6.157 (6.170) Accm: 2.51 (2.46) Acct: 3.81 (3.74) proj_loss: -0.5579 (-0.5599) time: 0.3643 data: 0.0003 [11-23 05:44:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.33 Lm: 6.868 (6.852) Lt: 6.198 (6.188) Accm: 2.49 (2.46) Acct: 3.68 (3.69) proj_loss: -0.5628 (-0.5618) time: 0.3633 data: 0.0004 [11-23 05:44:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.33 Lm: 6.831 (6.830) Lt: 6.157 (6.148) Accm: 2.58 (2.54) Acct: 3.95 (3.99) proj_loss: -0.5648 (-0.5665) time: 0.3633 data: 0.0003 [11-23 05:44:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.33 Lm: 6.885 (6.861) Lt: 6.212 (6.184) Accm: 2.39 (2.50) Acct: 3.79 (3.87) proj_loss: -0.5721 (-0.5683) time: 0.3633 data: 0.0002 [11-23 05:44:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.33 Lm: 6.849 (6.875) Lt: 6.163 (6.191) Accm: 2.41 (2.35) Acct: 3.60 (3.51) proj_loss: -0.5611 (-0.5564) time: 0.3633 data: 0.0003 [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.833 (6.866) Lt: 6.190 (6.191) Accm: 2.52 (2.39) Acct: 3.62 (3.55) proj_loss: -0.5612 (-0.5575) time: 0.3675 data: 0.0017 [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:07 (0.364 s / it) [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.872 (6.844) Lt: 6.169 (6.162) Accm: 2.50 (2.53) Acct: 3.99 (3.99) proj_loss: -0.5635 (-0.5659) time: 0.3675 data: 0.0018 [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.875 (6.858) Lt: 6.171 (6.177) Accm: 2.42 (2.50) Acct: 3.86 (3.87) proj_loss: -0.5663 (-0.5647) time: 0.3675 data: 0.0016 [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.897 (6.864) Lt: 6.240 (6.204) Accm: 2.47 (2.46) Acct: 3.62 (3.68) proj_loss: -0.5676 (-0.5660) time: 0.3675 data: 0.0014 [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:07 (0.364 s / it) [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:07 (0.364 s / it) [11-23 05:47:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:07 (0.364 s / it) [11-23 05:47:29] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.844 (6.844), Lt: 6.157 (6.157), Acc m&t: 2.52 3.94, Remain: 1 day, 21:29:38, Finish: 2024-11-24 11:17 [11-23 05:47:29] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.844 (6.844), Lt: 6.157 (6.157), Acc m&t: 2.52 3.94, Remain: 1 day, 21:28:07, Finish: 2024-11-24 11:15 [11-23 05:47:29] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.844 (6.844), Lt: 6.157 (6.157), Acc m&t: 2.52 3.94, Remain: 1 day, 21:29:09, Finish: 2024-11-24 11:16 [11-23 05:47:29] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.844 (6.844), Lt: 6.157 (6.157), Acc m&t: 2.52 3.94, Remain: 1 day, 21:28:12, Finish: 2024-11-24 11:15 [11-23 05:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:09:47 tlr: 0.0002 tnm: 0.34 Lm: 6.685 (6.685) Lt: 5.933 (5.933) Accm: 2.93 (2.93) Acct: 4.65 (4.65) proj_loss: -0.5484 (-0.5484) time: 0.3522 data: 0.0003 [11-23 05:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:09:47 tlr: 0.0002 tnm: 0.34 Lm: 6.751 (6.751) Lt: 6.154 (6.154) Accm: 2.54 (2.54) Acct: 3.82 (3.82) proj_loss: -0.5454 (-0.5454) time: 0.3520 data: 0.0004 [11-23 05:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:09:46 tlr: 0.0002 tnm: 0.34 Lm: 6.914 (6.914) Lt: 6.252 (6.252) Accm: 2.38 (2.38) Acct: 3.79 (3.79) proj_loss: -0.5664 (-0.5664) time: 0.3516 data: 0.0004 [11-23 05:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:09:48 tlr: 0.0002 tnm: 0.34 Lm: 6.931 (6.931) Lt: 6.258 (6.258) Accm: 2.43 (2.43) Acct: 3.63 (3.63) proj_loss: -0.5510 (-0.5510) time: 0.3526 data: 0.0003 [11-23 05:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.32 Lm: 6.918 (6.918) Lt: 6.249 (6.249) Accm: 2.32 (2.32) Acct: 3.52 (3.52) proj_loss: -0.5584 (-0.5584) time: 0.3617 data: 0.0002 [11-23 05:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.32 Lm: 6.902 (6.902) Lt: 6.222 (6.222) Accm: 2.50 (2.50) Acct: 3.90 (3.90) proj_loss: -0.5559 (-0.5559) time: 0.3617 data: 0.0003 [11-23 05:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.32 Lm: 6.805 (6.805) Lt: 6.168 (6.168) Accm: 2.49 (2.49) Acct: 3.71 (3.71) proj_loss: -0.5616 (-0.5616) time: 0.3617 data: 0.0003 [11-23 05:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:33 tlr: 0.0002 tnm: 0.32 Lm: 6.861 (6.861) Lt: 6.172 (6.172) Accm: 2.55 (2.55) Acct: 4.10 (4.10) proj_loss: -0.5580 (-0.5580) time: 0.3617 data: 0.0002 [11-23 05:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.902 (6.874) Lt: 6.269 (6.204) Accm: 2.40 (2.50) Acct: 3.87 (4.02) proj_loss: -0.5484 (-0.5545) time: 0.3630 data: 0.0003 [11-23 05:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.904 (6.885) Lt: 6.240 (6.203) Accm: 2.43 (2.41) Acct: 3.63 (3.75) proj_loss: -0.5658 (-0.5611) time: 0.3630 data: 0.0003 [11-23 05:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.914 (6.908) Lt: 6.252 (6.240) Accm: 2.38 (2.43) Acct: 3.79 (3.72) proj_loss: -0.5569 (-0.5563) time: 0.3630 data: 0.0003 [11-23 05:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.33 Lm: 6.841 (6.817) Lt: 6.181 (6.181) Accm: 2.54 (2.53) Acct: 3.82 (3.75) proj_loss: -0.5706 (-0.5646) time: 0.3630 data: 0.0003 [11-23 05:55:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.796 (6.799) Lt: 6.168 (6.149) Accm: 2.57 (2.58) Acct: 3.82 (3.92) proj_loss: -0.5679 (-0.5647) time: 0.3620 data: 0.0003 [11-23 05:55:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.862 (6.845) Lt: 6.175 (6.160) Accm: 2.51 (2.52) Acct: 3.87 (3.84) proj_loss: -0.5662 (-0.5633) time: 0.3620 data: 0.0003 [11-23 05:55:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.921 (6.891) Lt: 6.285 (6.229) Accm: 2.28 (2.41) Acct: 3.71 (3.81) proj_loss: -0.5545 (-0.5560) time: 0.3620 data: 0.0003 [11-23 05:55:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.917 (6.924) Lt: 6.264 (6.252) Accm: 2.33 (2.39) Acct: 3.65 (3.67) proj_loss: -0.5617 (-0.5596) time: 0.3621 data: 0.0003 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.920 (6.931) Lt: 6.276 (6.280) Accm: 2.29 (2.34) Acct: 3.51 (3.57) proj_loss: -0.5569 (-0.5579) time: 0.3653 data: 0.0015 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.872 (6.850) Lt: 6.240 (6.178) Accm: 2.43 (2.48) Acct: 3.63 (3.78) proj_loss: -0.5658 (-0.5608) time: 0.3653 data: 0.0016 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.911 (6.895) Lt: 6.269 (6.232) Accm: 2.34 (2.40) Acct: 3.65 (3.78) proj_loss: -0.5574 (-0.5563) time: 0.3653 data: 0.0018 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.751 (6.776) Lt: 6.154 (6.101) Accm: 2.60 (2.69) Acct: 3.82 (4.10) proj_loss: -0.5652 (-0.5634) time: 0.3653 data: 0.0017 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:05 (0.363 s / it) [11-23 05:57:35] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.844 (6.853), Lt: 6.157 (6.173), Acc m&t: 2.52 3.94, Remain: 1 day, 21:05:41, Finish: 2024-11-24 11:03 [11-23 05:57:35] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.844 (6.853), Lt: 6.157 (6.173), Acc m&t: 2.52 3.94, Remain: 1 day, 21:05:49, Finish: 2024-11-24 11:03 [11-23 05:57:35] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.844 (6.853), Lt: 6.157 (6.173), Acc m&t: 2.52 3.94, Remain: 1 day, 21:05:32, Finish: 2024-11-24 11:03 [11-23 05:57:35] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.844 (6.853), Lt: 6.157 (6.173), Acc m&t: 2.52 3.94, Remain: 1 day, 21:03:44, Finish: 2024-11-24 11:01 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:09:52 tlr: 0.0002 tnm: 0.34 Lm: 6.839 (6.839) Lt: 6.176 (6.176) Accm: 2.43 (2.43) Acct: 3.72 (3.72) proj_loss: -0.5805 (-0.5805) time: 0.3551 data: 0.0004 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:56 tlr: 0.0002 tnm: 0.34 Lm: 6.710 (6.710) Lt: 5.985 (5.985) Accm: 3.00 (3.00) Acct: 4.72 (4.72) proj_loss: -0.5710 (-0.5710) time: 0.3933 data: 0.0003 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:09:52 tlr: 0.0002 tnm: 0.34 Lm: 6.904 (6.904) Lt: 6.220 (6.220) Accm: 2.43 (2.43) Acct: 3.98 (3.98) proj_loss: -0.5642 (-0.5642) time: 0.3552 data: 0.0004 [11-23 05:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:09:55 tlr: 0.0002 tnm: 0.34 Lm: 6.933 (6.933) Lt: 6.238 (6.238) Accm: 2.38 (2.38) Acct: 3.63 (3.63) proj_loss: -0.5602 (-0.5602) time: 0.3567 data: 0.0004 [11-23 06:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.35 Lm: 6.853 (6.853) Lt: 6.166 (6.166) Accm: 2.66 (2.66) Acct: 3.89 (3.89) proj_loss: -0.5583 (-0.5583) time: 0.3641 data: 0.0003 [11-23 06:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.35 Lm: 6.756 (6.756) Lt: 6.018 (6.018) Accm: 2.82 (2.82) Acct: 4.46 (4.46) proj_loss: -0.5584 (-0.5584) time: 0.3641 data: 0.0002 [11-23 06:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.35 Lm: 6.834 (6.834) Lt: 6.136 (6.136) Accm: 2.68 (2.68) Acct: 4.15 (4.15) proj_loss: -0.5714 (-0.5714) time: 0.3641 data: 0.0003 [11-23 06:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.35 Lm: 6.865 (6.865) Lt: 6.169 (6.169) Accm: 2.56 (2.56) Acct: 4.22 (4.22) proj_loss: -0.5581 (-0.5581) time: 0.3641 data: 0.0003 [11-23 06:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.841 (6.857) Lt: 6.117 (6.144) Accm: 2.43 (2.51) Acct: 3.98 (4.10) proj_loss: -0.5642 (-0.5628) time: 0.4101 data: 0.0003 [11-23 06:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.839 (6.891) Lt: 6.176 (6.188) Accm: 2.43 (2.45) Acct: 3.72 (3.79) proj_loss: -0.5622 (-0.5667) time: 0.4100 data: 0.0003 [11-23 06:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.803 (6.782) Lt: 6.051 (6.052) Accm: 2.64 (2.74) Acct: 4.20 (4.28) proj_loss: -0.5479 (-0.5549) time: 0.4101 data: 0.0003 [11-23 06:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.34 Lm: 6.774 (6.813) Lt: 6.093 (6.121) Accm: 2.79 (2.70) Acct: 4.15 (4.06) proj_loss: -0.5602 (-0.5594) time: 0.4101 data: 0.0003 [11-23 06:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:37 tlr: 0.0002 tnm: 0.35 Lm: 6.814 (6.823) Lt: 6.142 (6.138) Accm: 2.59 (2.61) Acct: 3.91 (3.96) proj_loss: -0.5609 (-0.5642) time: 0.4558 data: 0.0003 [11-23 06:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:37 tlr: 0.0002 tnm: 0.35 Lm: 6.833 (6.847) Lt: 6.125 (6.141) Accm: 2.53 (2.54) Acct: 4.12 (4.14) proj_loss: -0.5603 (-0.5612) time: 0.4558 data: 0.0003 [11-23 06:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:37 tlr: 0.0002 tnm: 0.35 Lm: 6.772 (6.771) Lt: 6.053 (6.052) Accm: 2.66 (2.73) Acct: 4.27 (4.30) proj_loss: -0.5484 (-0.5534) time: 0.4558 data: 0.0003 [11-23 06:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:37 tlr: 0.0002 tnm: 0.35 Lm: 6.885 (6.901) Lt: 6.211 (6.202) Accm: 2.31 (2.38) Acct: 3.56 (3.69) proj_loss: -0.5610 (-0.5650) time: 0.4558 data: 0.0003 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.931 (6.926) Lt: 6.246 (6.245) Accm: 2.19 (2.31) Acct: 3.39 (3.62) proj_loss: -0.5622 (-0.5681) time: 0.3636 data: 0.0015 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:30 (0.378 s / it) [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.855 (6.846) Lt: 6.191 (6.166) Accm: 2.38 (2.55) Acct: 3.67 (3.88) proj_loss: -0.5602 (-0.5623) time: 0.3635 data: 0.0016 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.841 (6.846) Lt: 6.133 (6.147) Accm: 2.63 (2.59) Acct: 4.25 (4.16) proj_loss: -0.5642 (-0.5648) time: 0.3635 data: 0.0019 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.772 (6.771) Lt: 6.054 (6.056) Accm: 2.69 (2.79) Acct: 4.34 (4.36) proj_loss: -0.5479 (-0.5511) time: 0.3635 data: 0.0019 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:30 (0.378 s / it) [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:30 (0.378 s / it) [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:30 (0.378 s / it) [11-23 06:08:05] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.844 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.52 3.94, Remain: 1 day, 20:36:09, Finish: 2024-11-24 10:44 [11-23 06:08:05] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.844 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.52 3.94, Remain: 1 day, 20:35:59, Finish: 2024-11-24 10:44 [11-23 06:08:05] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.844 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.52 3.94, Remain: 1 day, 20:33:48, Finish: 2024-11-24 10:41 [11-23 06:08:05] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.844 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.52 3.94, Remain: 1 day, 20:40:01, Finish: 2024-11-24 10:48 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:09:46 tlr: 0.0002 tnm: 0.36 Lm: 6.904 (6.904) Lt: 6.221 (6.221) Accm: 2.57 (2.57) Acct: 4.15 (4.15) proj_loss: -0.5638 (-0.5638) time: 0.3515 data: 0.0004 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:09:46 tlr: 0.0002 tnm: 0.36 Lm: 6.964 (6.964) Lt: 6.265 (6.265) Accm: 2.00 (2.00) Acct: 3.00 (3.00) proj_loss: -0.5721 (-0.5721) time: 0.3515 data: 0.0004 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:09:47 tlr: 0.0002 tnm: 0.36 Lm: 6.894 (6.894) Lt: 6.208 (6.208) Accm: 2.45 (2.45) Acct: 3.98 (3.98) proj_loss: -0.5675 (-0.5675) time: 0.3521 data: 0.0004 [11-23 06:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:09:48 tlr: 0.0002 tnm: 0.36 Lm: 6.989 (6.989) Lt: 6.363 (6.363) Accm: 2.23 (2.23) Acct: 3.62 (3.62) proj_loss: -0.5743 (-0.5743) time: 0.3524 data: 0.0003 [11-23 06:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.36 Lm: 6.845 (6.845) Lt: 6.169 (6.169) Accm: 2.57 (2.57) Acct: 4.04 (4.04) proj_loss: -0.5759 (-0.5759) time: 0.3657 data: 0.0003 [11-23 06:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.36 Lm: 6.737 (6.737) Lt: 6.036 (6.036) Accm: 3.05 (3.05) Acct: 4.73 (4.73) proj_loss: -0.5648 (-0.5648) time: 0.3657 data: 0.0002 [11-23 06:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.36 Lm: 6.767 (6.767) Lt: 6.058 (6.058) Accm: 2.68 (2.68) Acct: 4.18 (4.18) proj_loss: -0.5571 (-0.5571) time: 0.3657 data: 0.0003 [11-23 06:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:35 tlr: 0.0002 tnm: 0.36 Lm: 6.884 (6.884) Lt: 6.184 (6.184) Accm: 2.26 (2.26) Acct: 3.47 (3.47) proj_loss: -0.5637 (-0.5637) time: 0.3657 data: 0.0003 [11-23 06:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.868 (6.879) Lt: 6.164 (6.177) Accm: 2.40 (2.31) Acct: 3.86 (3.60) proj_loss: -0.5721 (-0.5685) time: 0.3618 data: 0.0003 [11-23 06:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.824 (6.838) Lt: 6.191 (6.177) Accm: 2.61 (2.58) Acct: 3.99 (4.02) proj_loss: -0.5776 (-0.5788) time: 0.3618 data: 0.0003 [11-23 06:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.904 (6.803) Lt: 6.221 (6.111) Accm: 2.57 (2.85) Acct: 4.15 (4.37) proj_loss: -0.5638 (-0.5623) time: 0.3618 data: 0.0003 [11-23 06:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.894 (6.829) Lt: 6.208 (6.119) Accm: 2.45 (2.59) Acct: 3.98 (4.05) proj_loss: -0.5466 (-0.5511) time: 0.3618 data: 0.0003 [11-23 06:15:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.879 (6.838) Lt: 6.185 (6.130) Accm: 2.45 (2.56) Acct: 3.93 (4.01) proj_loss: -0.5522 (-0.5528) time: 0.3626 data: 0.0003 [11-23 06:15:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.900 (6.892) Lt: 6.214 (6.199) Accm: 2.35 (2.31) Acct: 3.77 (3.62) proj_loss: -0.5731 (-0.5699) time: 0.3627 data: 0.0003 [11-23 06:15:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.878 (6.815) Lt: 6.197 (6.126) Accm: 2.51 (2.74) Acct: 3.91 (4.19) proj_loss: -0.5648 (-0.5636) time: 0.3627 data: 0.0002 [11-23 06:15:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:32 tlr: 0.0002 tnm: 0.34 Lm: 6.813 (6.829) Lt: 6.157 (6.163) Accm: 2.58 (2.57) Acct: 4.05 (4.04) proj_loss: -0.5759 (-0.5775) time: 0.3627 data: 0.0003 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.824 (6.850) Lt: 6.191 (6.186) Accm: 2.55 (2.48) Acct: 3.99 (3.85) proj_loss: -0.5743 (-0.5724) time: 0.3646 data: 0.0017 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.868 (6.854) Lt: 6.164 (6.155) Accm: 2.40 (2.43) Acct: 3.86 (3.83) proj_loss: -0.5741 (-0.5710) time: 0.3646 data: 0.0022 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.904 (6.858) Lt: 6.221 (6.177) Accm: 2.45 (2.63) Acct: 3.67 (3.99) proj_loss: -0.5638 (-0.5607) time: 0.3646 data: 0.0015 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.865 (6.839) Lt: 6.162 (6.135) Accm: 2.45 (2.52) Acct: 3.89 (3.96) proj_loss: -0.5508 (-0.5524) time: 0.3646 data: 0.0018 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:18:13] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.844 (6.851), Lt: 6.157 (6.165), Acc m&t: 2.52 3.94, Remain: 1 day, 20:47:51, Finish: 2024-11-24 11:06 [11-23 06:18:13] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.844 (6.851), Lt: 6.157 (6.165), Acc m&t: 2.52 3.94, Remain: 1 day, 20:49:17, Finish: 2024-11-24 11:07 [11-23 06:18:13] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.844 (6.851), Lt: 6.157 (6.165), Acc m&t: 2.52 3.94, Remain: 1 day, 20:48:32, Finish: 2024-11-24 11:06 [11-23 06:18:13] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.844 (6.851), Lt: 6.157 (6.165), Acc m&t: 2.52 3.94, Remain: 1 day, 20:48:14, Finish: 2024-11-24 11:06 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:09:46 tlr: 0.00019 tnm: 0.36 Lm: 6.760 (6.760) Lt: 6.049 (6.049) Accm: 2.70 (2.70) Acct: 4.10 (4.10) proj_loss: -0.5792 (-0.5792) time: 0.3513 data: 0.0003 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:09:42 tlr: 0.00019 tnm: 0.36 Lm: 6.916 (6.916) Lt: 6.260 (6.260) Accm: 2.56 (2.56) Acct: 4.06 (4.06) proj_loss: -0.5775 (-0.5775) time: 0.3488 data: 0.0004 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:09:43 tlr: 0.00019 tnm: 0.36 Lm: 6.810 (6.810) Lt: 6.149 (6.149) Accm: 2.43 (2.43) Acct: 3.63 (3.63) proj_loss: -0.5680 (-0.5680) time: 0.3493 data: 0.0004 [11-23 06:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:09:44 tlr: 0.00019 tnm: 0.36 Lm: 6.723 (6.723) Lt: 6.039 (6.039) Accm: 2.78 (2.78) Acct: 4.29 (4.29) proj_loss: -0.5798 (-0.5798) time: 0.3505 data: 0.0004 [11-23 06:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.37 Lm: 6.779 (6.779) Lt: 6.107 (6.107) Accm: 2.57 (2.57) Acct: 3.94 (3.94) proj_loss: -0.5669 (-0.5669) time: 0.3646 data: 0.0003 [11-23 06:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.37 Lm: 6.872 (6.872) Lt: 6.208 (6.208) Accm: 2.36 (2.36) Acct: 3.63 (3.63) proj_loss: -0.5655 (-0.5655) time: 0.3646 data: 0.0003 [11-23 06:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.37 Lm: 6.858 (6.858) Lt: 6.194 (6.194) Accm: 2.37 (2.37) Acct: 3.55 (3.55) proj_loss: -0.5696 (-0.5696) time: 0.3646 data: 0.0003 [11-23 06:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.37 Lm: 6.891 (6.891) Lt: 6.223 (6.223) Accm: 2.31 (2.31) Acct: 3.54 (3.54) proj_loss: -0.5569 (-0.5569) time: 0.3646 data: 0.0003 [11-23 06:23:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 6.972 (6.926) Lt: 6.296 (6.263) Accm: 2.19 (2.27) Acct: 3.51 (3.53) proj_loss: -0.5680 (-0.5607) time: 0.3593 data: 0.0003 [11-23 06:23:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 6.916 (6.905) Lt: 6.260 (6.241) Accm: 2.28 (2.33) Acct: 3.67 (3.64) proj_loss: -0.5775 (-0.5708) time: 0.3593 data: 0.0003 [11-23 06:23:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 6.760 (6.821) Lt: 6.102 (6.163) Accm: 2.70 (2.52) Acct: 4.10 (3.74) proj_loss: -0.5647 (-0.5680) time: 0.3593 data: 0.0003 [11-23 06:23:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 6.836 (6.805) Lt: 6.176 (6.130) Accm: 2.40 (2.51) Acct: 3.62 (3.83) proj_loss: -0.5586 (-0.5641) time: 0.3593 data: 0.0003 [11-23 06:25:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.792 (6.791) Lt: 6.107 (6.102) Accm: 2.45 (2.51) Acct: 3.77 (3.86) proj_loss: -0.5639 (-0.5654) time: 0.3644 data: 0.0003 [11-23 06:25:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.891 (6.891) Lt: 6.223 (6.214) Accm: 2.31 (2.35) Acct: 3.57 (3.68) proj_loss: -0.5611 (-0.5590) time: 0.3644 data: 0.0003 [11-23 06:25:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.930 (6.915) Lt: 6.283 (6.258) Accm: 2.26 (2.31) Acct: 3.62 (3.62) proj_loss: -0.5752 (-0.5713) time: 0.3644 data: 0.0003 [11-23 06:25:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.791 (6.821) Lt: 6.121 (6.157) Accm: 2.69 (2.56) Acct: 4.11 (3.84) proj_loss: -0.5695 (-0.5696) time: 0.3644 data: 0.0003 [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.760 (6.806) Lt: 6.102 (6.134) Accm: 2.70 (2.60) Acct: 4.12 (3.95) proj_loss: -0.5647 (-0.5669) time: 0.3650 data: 0.0014 [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:05 (0.363 s / it) [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.916 (6.903) Lt: 6.260 (6.242) Accm: 2.28 (2.31) Acct: 3.62 (3.62) proj_loss: -0.5730 (-0.5685) time: 0.3650 data: 0.0020 [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.958 (6.905) Lt: 6.260 (6.224) Accm: 2.32 (2.35) Acct: 3.63 (3.73) proj_loss: -0.5561 (-0.5585) time: 0.3650 data: 0.0016 [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.836 (6.815) Lt: 6.176 (6.133) Accm: 2.40 (2.44) Acct: 3.67 (3.82) proj_loss: -0.5692 (-0.5677) time: 0.3650 data: 0.0019 [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:05 (0.363 s / it) [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:05 (0.363 s / it) [11-23 06:28:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:05 (0.363 s / it) [11-23 06:28:18] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.844 (6.845), Lt: 6.157 (6.169), Acc m&t: 2.52 3.94, Remain: 1 day, 20:43:37, Finish: 2024-11-24 11:11 [11-23 06:28:18] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.844 (6.845), Lt: 6.157 (6.169), Acc m&t: 2.52 3.94, Remain: 1 day, 20:44:00, Finish: 2024-11-24 11:12 [11-23 06:28:18] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.844 (6.845), Lt: 6.157 (6.169), Acc m&t: 2.52 3.94, Remain: 1 day, 20:43:43, Finish: 2024-11-24 11:12 [11-23 06:28:18] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.844 (6.845), Lt: 6.157 (6.169), Acc m&t: 2.52 3.94, Remain: 1 day, 20:43:12, Finish: 2024-11-24 11:11 [11-23 06:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.38 Lm: 6.825 (6.825) Lt: 6.175 (6.175) Accm: 2.37 (2.37) Acct: 3.67 (3.67) proj_loss: -0.5621 (-0.5621) time: 0.3449 data: 0.0004 [11-23 06:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:09:36 tlr: 0.00019 tnm: 0.38 Lm: 6.878 (6.878) Lt: 6.196 (6.196) Accm: 2.41 (2.41) Acct: 3.74 (3.74) proj_loss: -0.5460 (-0.5460) time: 0.3456 data: 0.0004 [11-23 06:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.38 Lm: 6.896 (6.896) Lt: 6.181 (6.181) Accm: 2.35 (2.35) Acct: 3.70 (3.70) proj_loss: -0.5484 (-0.5484) time: 0.3444 data: 0.0003 [11-23 06:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:09:39 tlr: 0.00019 tnm: 0.38 Lm: 6.757 (6.757) Lt: 6.058 (6.058) Accm: 2.83 (2.83) Acct: 4.48 (4.48) proj_loss: -0.5675 (-0.5675) time: 0.3472 data: 0.0003 [11-23 06:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:32 tlr: 0.00019 tnm: 0.35 Lm: 6.786 (6.786) Lt: 6.091 (6.091) Accm: 2.62 (2.62) Acct: 4.07 (4.07) proj_loss: -0.5635 (-0.5635) time: 0.3626 data: 0.0003 [11-23 06:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:32 tlr: 0.00019 tnm: 0.35 Lm: 6.860 (6.860) Lt: 6.230 (6.230) Accm: 2.20 (2.20) Acct: 3.39 (3.39) proj_loss: -0.5686 (-0.5686) time: 0.3627 data: 0.0003 [11-23 06:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:32 tlr: 0.00019 tnm: 0.35 Lm: 6.844 (6.844) Lt: 6.135 (6.135) Accm: 2.53 (2.53) Acct: 4.05 (4.05) proj_loss: -0.5565 (-0.5565) time: 0.3627 data: 0.0003 [11-23 06:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:32 tlr: 0.00019 tnm: 0.35 Lm: 6.907 (6.907) Lt: 6.214 (6.214) Accm: 2.30 (2.30) Acct: 3.58 (3.58) proj_loss: -0.5663 (-0.5663) time: 0.3627 data: 0.0003 [11-23 06:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:06 tlr: 0.00019 tnm: 0.34 Lm: 6.896 (6.857) Lt: 6.181 (6.169) Accm: 2.35 (2.50) Acct: 3.70 (3.86) proj_loss: -0.5622 (-0.5649) time: 0.4116 data: 0.0002 [11-23 06:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:06 tlr: 0.00019 tnm: 0.34 Lm: 6.814 (6.797) Lt: 6.090 (6.091) Accm: 2.68 (2.64) Acct: 4.34 (4.16) proj_loss: -0.5663 (-0.5644) time: 0.4116 data: 0.0002 [11-23 06:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:06 tlr: 0.00019 tnm: 0.34 Lm: 6.810 (6.821) Lt: 6.088 (6.119) Accm: 2.62 (2.56) Acct: 4.30 (4.13) proj_loss: -0.5617 (-0.5583) time: 0.4116 data: 0.0003 [11-23 06:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:06 tlr: 0.00019 tnm: 0.34 Lm: 6.825 (6.824) Lt: 6.175 (6.161) Accm: 2.37 (2.39) Acct: 3.67 (3.62) proj_loss: -0.5683 (-0.5685) time: 0.4116 data: 0.0003 [11-23 06:36:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.35 Lm: 6.860 (6.848) Lt: 6.194 (6.174) Accm: 2.39 (2.39) Acct: 3.87 (3.73) proj_loss: -0.5717 (-0.5721) time: 0.3586 data: 0.0003 [11-23 06:36:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.35 Lm: 6.844 (6.839) Lt: 6.142 (6.149) Accm: 2.52 (2.50) Acct: 4.08 (4.06) proj_loss: -0.5636 (-0.5600) time: 0.3586 data: 0.0002 [11-23 06:36:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.35 Lm: 6.868 (6.853) Lt: 6.172 (6.167) Accm: 2.41 (2.49) Acct: 3.86 (3.90) proj_loss: -0.5608 (-0.5636) time: 0.3586 data: 0.0002 [11-23 06:36:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.35 Lm: 6.817 (6.839) Lt: 6.107 (6.143) Accm: 2.55 (2.47) Acct: 4.00 (3.92) proj_loss: -0.5669 (-0.5664) time: 0.3586 data: 0.0002 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.819 (6.859) Lt: 6.124 (6.166) Accm: 2.41 (2.44) Acct: 3.74 (3.88) proj_loss: -0.5675 (-0.5674) time: 0.3619 data: 0.0018 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:28 (0.376 s / it) [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.866 (6.856) Lt: 6.168 (6.168) Accm: 2.35 (2.46) Acct: 3.70 (3.79) proj_loss: -0.5622 (-0.5661) time: 0.3619 data: 0.0016 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.886 (6.855) Lt: 6.214 (6.184) Accm: 2.40 (2.40) Acct: 4.05 (3.79) proj_loss: -0.5683 (-0.5713) time: 0.3619 data: 0.0019 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.836 (6.839) Lt: 6.142 (6.147) Accm: 2.43 (2.48) Acct: 3.86 (4.01) proj_loss: -0.5617 (-0.5600) time: 0.3619 data: 0.0016 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:28 (0.376 s / it) [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:28 (0.376 s / it) [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:28 (0.376 s / it) [11-23 06:38:47] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.839 (6.839), Lt: 6.157 (6.161), Acc m&t: 2.52 3.94, Remain: 1 day, 20:16:48, Finish: 2024-11-24 10:55 [11-23 06:38:47] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.839 (6.839), Lt: 6.157 (6.161), Acc m&t: 2.52 3.94, Remain: 1 day, 20:14:59, Finish: 2024-11-24 10:53 [11-23 06:38:47] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.839 (6.839), Lt: 6.157 (6.161), Acc m&t: 2.52 3.94, Remain: 1 day, 20:15:10, Finish: 2024-11-24 10:53 [11-23 06:38:47] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.839 (6.839), Lt: 6.157 (6.161), Acc m&t: 2.52 3.94, Remain: 1 day, 20:15:43, Finish: 2024-11-24 10:54 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.33 Lm: 6.760 (6.760) Lt: 6.065 (6.065) Accm: 2.67 (2.67) Acct: 4.05 (4.05) proj_loss: -0.5633 (-0.5633) time: 0.3442 data: 0.0003 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.33 Lm: 6.955 (6.955) Lt: 6.294 (6.294) Accm: 2.36 (2.36) Acct: 3.70 (3.70) proj_loss: -0.5434 (-0.5434) time: 0.3445 data: 0.0003 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:33 tlr: 0.00019 tnm: 0.33 Lm: 6.831 (6.831) Lt: 6.112 (6.112) Accm: 2.53 (2.53) Acct: 3.91 (3.91) proj_loss: -0.5696 (-0.5696) time: 0.3438 data: 0.0004 [11-23 06:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.33 Lm: 6.908 (6.908) Lt: 6.211 (6.211) Accm: 2.37 (2.37) Acct: 3.72 (3.72) proj_loss: -0.5659 (-0.5659) time: 0.3446 data: 0.0003 [11-23 06:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.755 (6.755) Lt: 6.019 (6.019) Accm: 2.83 (2.83) Acct: 4.33 (4.33) proj_loss: -0.5608 (-0.5608) time: 0.3604 data: 0.0003 [11-23 06:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.880 (6.880) Lt: 6.218 (6.218) Accm: 2.45 (2.45) Acct: 3.80 (3.80) proj_loss: -0.5687 (-0.5687) time: 0.3604 data: 0.0003 [11-23 06:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.816 (6.816) Lt: 6.127 (6.127) Accm: 2.51 (2.51) Acct: 3.97 (3.97) proj_loss: -0.5680 (-0.5680) time: 0.3604 data: 0.0003 [11-23 06:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.923 (6.923) Lt: 6.267 (6.267) Accm: 2.38 (2.38) Acct: 3.67 (3.67) proj_loss: -0.5630 (-0.5630) time: 0.3604 data: 0.0002 [11-23 06:43:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.891 (6.876) Lt: 6.241 (6.215) Accm: 2.40 (2.39) Acct: 3.70 (3.68) proj_loss: -0.5542 (-0.5601) time: 0.3597 data: 0.0003 [11-23 06:43:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.760 (6.834) Lt: 6.082 (6.173) Accm: 2.67 (2.63) Acct: 4.05 (4.00) proj_loss: -0.5633 (-0.5603) time: 0.3598 data: 0.0003 [11-23 06:43:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.846 (6.785) Lt: 6.137 (6.059) Accm: 2.47 (2.71) Acct: 3.94 (4.20) proj_loss: -0.5558 (-0.5589) time: 0.3597 data: 0.0003 [11-23 06:43:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.831 (6.821) Lt: 6.143 (6.155) Accm: 2.52 (2.51) Acct: 3.91 (3.90) proj_loss: -0.5696 (-0.5714) time: 0.3597 data: 0.0003 [11-23 06:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.816 (6.815) Lt: 6.132 (6.147) Accm: 2.53 (2.56) Acct: 3.97 (4.01) proj_loss: -0.5680 (-0.5701) time: 0.3636 data: 0.0003 [11-23 06:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.751 (6.806) Lt: 6.074 (6.137) Accm: 2.73 (2.67) Acct: 4.16 (4.07) proj_loss: -0.5678 (-0.5633) time: 0.3636 data: 0.0003 [11-23 06:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.877 (6.833) Lt: 6.174 (6.136) Accm: 2.42 (2.57) Acct: 3.83 (3.99) proj_loss: -0.5600 (-0.5602) time: 0.3636 data: 0.0003 [11-23 06:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.900 (6.885) Lt: 6.259 (6.231) Accm: 2.39 (2.39) Acct: 3.70 (3.68) proj_loss: -0.5576 (-0.5603) time: 0.3636 data: 0.0003 [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.891 (6.863) Lt: 6.241 (6.210) Accm: 2.40 (2.45) Acct: 3.70 (3.78) proj_loss: -0.5609 (-0.5628) time: 0.3632 data: 0.0016 [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.760 (6.805) Lt: 6.067 (6.123) Accm: 2.79 (2.70) Acct: 4.27 (4.16) proj_loss: -0.5633 (-0.5602) time: 0.3632 data: 0.0019 [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.846 (6.809) Lt: 6.137 (6.110) Accm: 2.47 (2.62) Acct: 3.94 (4.05) proj_loss: -0.5641 (-0.5613) time: 0.3632 data: 0.0020 [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.802 (6.807) Lt: 6.122 (6.132) Accm: 2.53 (2.61) Acct: 4.03 (4.11) proj_loss: -0.5665 (-0.5683) time: 0.3632 data: 0.0015 [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:48:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:07 (0.364 s / it) [11-23 06:48:54] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.839 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.53 3.96, Remain: 1 day, 20:14:55, Finish: 2024-11-24 11:03 [11-23 06:48:54] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.839 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.53 3.96, Remain: 1 day, 20:15:56, Finish: 2024-11-24 11:04 [11-23 06:48:54] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.839 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.53 3.96, Remain: 1 day, 20:15:16, Finish: 2024-11-24 11:04 [11-23 06:48:54] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.839 (6.849), Lt: 6.157 (6.171), Acc m&t: 2.53 3.96, Remain: 1 day, 20:15:36, Finish: 2024-11-24 11:04 [11-23 06:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:46 tlr: 0.00019 tnm: 0.34 Lm: 6.943 (6.943) Lt: 6.331 (6.331) Accm: 2.20 (2.20) Acct: 3.34 (3.34) proj_loss: -0.5774 (-0.5774) time: 0.3515 data: 0.0004 [11-23 06:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:46 tlr: 0.00019 tnm: 0.34 Lm: 6.797 (6.797) Lt: 6.072 (6.072) Accm: 2.51 (2.51) Acct: 3.82 (3.82) proj_loss: -0.5554 (-0.5554) time: 0.3517 data: 0.0003 [11-23 06:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:46 tlr: 0.00019 tnm: 0.34 Lm: 6.832 (6.832) Lt: 6.131 (6.131) Accm: 2.52 (2.52) Acct: 3.99 (3.99) proj_loss: -0.5966 (-0.5966) time: 0.3515 data: 0.0004 [11-23 06:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:57 tlr: 0.00019 tnm: 0.34 Lm: 6.864 (6.864) Lt: 6.159 (6.159) Accm: 2.52 (2.52) Acct: 3.82 (3.82) proj_loss: -0.5611 (-0.5611) time: 0.3581 data: 0.0003 [11-23 06:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.883 (6.883) Lt: 6.219 (6.219) Accm: 2.41 (2.41) Acct: 3.68 (3.68) proj_loss: -0.5709 (-0.5709) time: 0.3645 data: 0.0003 [11-23 06:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.841 (6.841) Lt: 6.110 (6.110) Accm: 2.47 (2.47) Acct: 3.96 (3.96) proj_loss: -0.5806 (-0.5806) time: 0.3645 data: 0.0003 [11-23 06:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.805 (6.805) Lt: 6.128 (6.128) Accm: 2.64 (2.64) Acct: 4.05 (4.05) proj_loss: -0.5728 (-0.5728) time: 0.3645 data: 0.0003 [11-23 06:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.798 (6.798) Lt: 6.100 (6.100) Accm: 2.56 (2.56) Acct: 4.00 (4.00) proj_loss: -0.5589 (-0.5589) time: 0.3646 data: 0.0003 [11-23 06:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.732 (6.773) Lt: 6.040 (6.067) Accm: 2.59 (2.70) Acct: 4.18 (4.23) proj_loss: -0.5567 (-0.5568) time: 0.3628 data: 0.0002 [11-23 06:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.797 (6.779) Lt: 6.072 (6.096) Accm: 2.78 (2.84) Acct: 4.29 (4.47) proj_loss: -0.5714 (-0.5723) time: 0.3628 data: 0.0002 [11-23 06:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.832 (6.823) Lt: 6.115 (6.112) Accm: 2.52 (2.65) Acct: 3.99 (4.16) proj_loss: -0.5675 (-0.5762) time: 0.3628 data: 0.0003 [11-23 06:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.937 (6.901) Lt: 6.269 (6.236) Accm: 2.26 (2.36) Acct: 3.44 (3.60) proj_loss: -0.5643 (-0.5668) time: 0.3628 data: 0.0002 [11-23 06:56:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.32 Lm: 6.880 (6.855) Lt: 6.188 (6.173) Accm: 2.44 (2.48) Acct: 3.74 (3.84) proj_loss: -0.5641 (-0.5661) time: 0.3605 data: 0.0002 [11-23 06:56:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.32 Lm: 6.805 (6.824) Lt: 6.128 (6.136) Accm: 2.64 (2.73) Acct: 4.17 (4.36) proj_loss: -0.5701 (-0.5715) time: 0.3605 data: 0.0002 [11-23 06:56:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.32 Lm: 6.840 (6.830) Lt: 6.123 (6.130) Accm: 2.48 (2.60) Acct: 3.96 (4.02) proj_loss: -0.5768 (-0.5787) time: 0.3605 data: 0.0003 [11-23 06:56:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.32 Lm: 6.798 (6.807) Lt: 6.100 (6.118) Accm: 2.56 (2.58) Acct: 4.00 (4.02) proj_loss: -0.5589 (-0.5645) time: 0.3605 data: 0.0003 [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.797 (6.808) Lt: 6.072 (6.119) Accm: 2.78 (2.76) Acct: 4.29 (4.44) proj_loss: -0.5714 (-0.5721) time: 0.3670 data: 0.0016 [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.822 (6.833) Lt: 6.107 (6.145) Accm: 2.62 (2.55) Acct: 4.03 (3.94) proj_loss: -0.5643 (-0.5664) time: 0.3670 data: 0.0020 [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.844 (6.814) Lt: 6.159 (6.138) Accm: 2.52 (2.52) Acct: 3.82 (3.89) proj_loss: -0.5611 (-0.5641) time: 0.3670 data: 0.0018 [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:05 (0.363 s / it) [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:05 (0.363 s / it) [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:05 (0.363 s / it) [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.832 (6.812) Lt: 6.115 (6.110) Accm: 2.52 (2.64) Acct: 3.99 (4.16) proj_loss: -0.5675 (-0.5719) time: 0.3672 data: 0.0020 [11-23 06:58:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:05 (0.363 s / it) [11-23 07:01:05] (home/user/VAR/trainer.py, line 114)=> FID: 5.040805623430629 [11-23 07:01:06] (/home/user/VAR/train.py , line 259)=> [*] [ep89] (val 50000) Lm: 6.8288, Lt: 6.1428, Acc m&t: 2.55 3.98, Val cost: 126.06s [11-23 07:01:06] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 07:01:19] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.829 (6.829), Lt: 6.143 (6.143), Acc m&t: 2.55 3.98, Remain: 1 day, 20:21:13, Finish: 2024-11-24 11:20 [11-23 07:01:19] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.829 (6.829), Lt: 6.143 (6.143), Acc m&t: 2.55 3.98, Remain: 1 day, 20:19:00, Finish: 2024-11-24 11:18 [11-23 07:01:19] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.829 (6.829), Lt: 6.143 (6.143), Acc m&t: 2.55 3.98, Remain: 1 day, 20:19:44, Finish: 2024-11-24 11:18 [11-23 07:01:19] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.829 (6.829), Lt: 6.143 (6.143), Acc m&t: 2.55 3.98, Remain: 1 day, 20:18:53, Finish: 2024-11-24 11:17 [11-23 07:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.34 Lm: 6.789 (6.789) Lt: 6.098 (6.098) Accm: 2.72 (2.72) Acct: 4.18 (4.18) proj_loss: -0.5713 (-0.5713) time: 0.3447 data: 0.0004 [11-23 07:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:09:31 tlr: 0.00019 tnm: 0.34 Lm: 6.787 (6.787) Lt: 6.106 (6.106) Accm: 2.56 (2.56) Acct: 4.24 (4.24) proj_loss: -0.5741 (-0.5741) time: 0.3427 data: 0.0004 [11-23 07:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:10:14 tlr: 0.00019 tnm: 0.34 Lm: 6.789 (6.789) Lt: 6.082 (6.082) Accm: 2.57 (2.57) Acct: 4.27 (4.27) proj_loss: -0.5686 (-0.5686) time: 0.3683 data: 0.0004 [11-23 07:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:09:31 tlr: 0.00019 tnm: 0.34 Lm: 6.863 (6.863) Lt: 6.143 (6.143) Accm: 2.57 (2.57) Acct: 4.17 (4.17) proj_loss: -0.5586 (-0.5586) time: 0.3424 data: 0.0003 [11-23 07:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.890 (6.890) Lt: 6.199 (6.199) Accm: 2.46 (2.46) Acct: 3.99 (3.99) proj_loss: -0.5580 (-0.5580) time: 0.3634 data: 0.0003 [11-23 07:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.830 (6.830) Lt: 6.146 (6.146) Accm: 2.48 (2.48) Acct: 4.08 (4.08) proj_loss: -0.5633 (-0.5633) time: 0.3634 data: 0.0003 [11-23 07:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.765 (6.765) Lt: 6.096 (6.096) Accm: 2.72 (2.72) Acct: 4.37 (4.37) proj_loss: -0.5803 (-0.5803) time: 0.3634 data: 0.0003 [11-23 07:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.785 (6.785) Lt: 6.095 (6.095) Accm: 2.67 (2.67) Acct: 4.31 (4.31) proj_loss: -0.5796 (-0.5796) time: 0.3634 data: 0.0003 [11-23 07:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:08 tlr: 0.00019 tnm: 0.34 Lm: 6.789 (6.801) Lt: 6.108 (6.114) Accm: 2.57 (2.56) Acct: 4.27 (4.06) proj_loss: -0.5686 (-0.5733) time: 0.4052 data: 0.0002 [11-23 07:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:08 tlr: 0.00019 tnm: 0.34 Lm: 6.874 (6.851) Lt: 6.186 (6.182) Accm: 2.56 (2.52) Acct: 3.94 (4.03) proj_loss: -0.5741 (-0.5739) time: 0.4052 data: 0.0003 [11-23 07:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:08 tlr: 0.00019 tnm: 0.34 Lm: 6.789 (6.806) Lt: 6.098 (6.144) Accm: 2.72 (2.66) Acct: 4.18 (4.20) proj_loss: -0.5751 (-0.5785) time: 0.4052 data: 0.0002 [11-23 07:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:08 tlr: 0.00019 tnm: 0.34 Lm: 6.917 (6.924) Lt: 6.255 (6.254) Accm: 2.42 (2.45) Acct: 3.87 (3.95) proj_loss: -0.5573 (-0.5562) time: 0.4052 data: 0.0003 [11-23 07:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.36 Lm: 6.918 (6.923) Lt: 6.244 (6.249) Accm: 2.39 (2.43) Acct: 3.85 (3.83) proj_loss: -0.5565 (-0.5561) time: 0.3650 data: 0.0003 [11-23 07:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.36 Lm: 6.819 (6.816) Lt: 6.115 (6.141) Accm: 2.72 (2.69) Acct: 4.35 (4.27) proj_loss: -0.5757 (-0.5780) time: 0.3650 data: 0.0003 [11-23 07:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.36 Lm: 6.839 (6.839) Lt: 6.146 (6.162) Accm: 2.58 (2.55) Acct: 4.09 (4.08) proj_loss: -0.5633 (-0.5678) time: 0.3650 data: 0.0003 [11-23 07:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:38 tlr: 0.00019 tnm: 0.36 Lm: 6.812 (6.816) Lt: 6.130 (6.143) Accm: 2.57 (2.56) Acct: 4.09 (4.02) proj_loss: -0.5679 (-0.5718) time: 0.3650 data: 0.0002 [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.834 (6.849) Lt: 6.153 (6.185) Accm: 2.56 (2.50) Acct: 3.91 (3.88) proj_loss: -0.5673 (-0.5709) time: 0.3670 data: 0.0018 [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:27 (0.376 s / it) [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.789 (6.793) Lt: 6.098 (6.107) Accm: 2.72 (2.73) Acct: 4.27 (4.27) proj_loss: -0.5752 (-0.5774) time: 0.3670 data: 0.0020 [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.805 (6.832) Lt: 6.130 (6.156) Accm: 2.60 (2.57) Acct: 4.24 (4.12) proj_loss: -0.5636 (-0.5670) time: 0.3670 data: 0.0016 [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.917 (6.907) Lt: 6.232 (6.226) Accm: 2.42 (2.45) Acct: 3.87 (3.86) proj_loss: -0.5573 (-0.5613) time: 0.3670 data: 0.0020 [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:27 (0.376 s / it) [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:27 (0.376 s / it) [11-23 07:11:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:27 (0.376 s / it) [11-23 07:11:47] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.829 (6.848), Lt: 6.143 (6.165), Acc m&t: 2.55 3.98, Remain: 1 day, 20:14:53, Finish: 2024-11-24 11:26 [11-23 07:11:47] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.829 (6.848), Lt: 6.143 (6.165), Acc m&t: 2.55 3.98, Remain: 1 day, 20:14:55, Finish: 2024-11-24 11:26 [11-23 07:11:47] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.829 (6.848), Lt: 6.143 (6.165), Acc m&t: 2.55 3.98, Remain: 1 day, 20:15:19, Finish: 2024-11-24 11:27 [11-23 07:11:47] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.829 (6.848), Lt: 6.143 (6.165), Acc m&t: 2.55 3.98, Remain: 1 day, 20:15:59, Finish: 2024-11-24 11:27 [11-23 07:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:09:54 tlr: 0.00019 tnm: 0.36 Lm: 6.840 (6.840) Lt: 6.152 (6.152) Accm: 2.40 (2.40) Acct: 3.93 (3.93) proj_loss: -0.5535 (-0.5535) time: 0.3561 data: 0.0004 [11-23 07:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:09:52 tlr: 0.00019 tnm: 0.36 Lm: 6.718 (6.718) Lt: 6.051 (6.051) Accm: 2.83 (2.83) Acct: 4.30 (4.30) proj_loss: -0.5750 (-0.5750) time: 0.3552 data: 0.0004 [11-23 07:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:09:53 tlr: 0.00019 tnm: 0.36 Lm: 6.761 (6.761) Lt: 6.051 (6.051) Accm: 2.87 (2.87) Acct: 4.36 (4.36) proj_loss: -0.5613 (-0.5613) time: 0.3558 data: 0.0004 [11-23 07:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:09:52 tlr: 0.00019 tnm: 0.36 Lm: 6.815 (6.815) Lt: 6.117 (6.117) Accm: 2.70 (2.70) Acct: 4.51 (4.51) proj_loss: -0.5598 (-0.5598) time: 0.3550 data: 0.0004 [11-23 07:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.32 Lm: 6.837 (6.837) Lt: 6.155 (6.155) Accm: 2.55 (2.55) Acct: 4.26 (4.26) proj_loss: -0.5802 (-0.5802) time: 0.3655 data: 0.0003 [11-23 07:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.32 Lm: 6.856 (6.856) Lt: 6.149 (6.149) Accm: 2.57 (2.57) Acct: 4.00 (4.00) proj_loss: -0.5567 (-0.5567) time: 0.3655 data: 0.0003 [11-23 07:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.32 Lm: 6.798 (6.798) Lt: 6.131 (6.131) Accm: 2.49 (2.49) Acct: 3.81 (3.81) proj_loss: -0.5642 (-0.5642) time: 0.3655 data: 0.0003 [11-23 07:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.32 Lm: 6.874 (6.874) Lt: 6.163 (6.163) Accm: 2.49 (2.49) Acct: 3.99 (3.99) proj_loss: -0.5495 (-0.5495) time: 0.3656 data: 0.0003 [11-23 07:16:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.32 Lm: 6.840 (6.840) Lt: 6.152 (6.132) Accm: 2.57 (2.55) Acct: 3.93 (3.97) proj_loss: -0.5535 (-0.5541) time: 0.3612 data: 0.0003 [11-23 07:16:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.32 Lm: 6.857 (6.818) Lt: 6.195 (6.152) Accm: 2.50 (2.49) Acct: 3.98 (3.86) proj_loss: -0.5535 (-0.5590) time: 0.3612 data: 0.0003 [11-23 07:16:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.32 Lm: 6.799 (6.837) Lt: 6.138 (6.145) Accm: 2.78 (2.64) Acct: 4.24 (4.08) proj_loss: -0.5613 (-0.5628) time: 0.3612 data: 0.0003 [11-23 07:16:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.32 Lm: 6.815 (6.809) Lt: 6.117 (6.108) Accm: 2.70 (2.63) Acct: 4.51 (4.39) proj_loss: -0.5598 (-0.5721) time: 0.3612 data: 0.0003 [11-23 07:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.806 (6.806) Lt: 6.097 (6.100) Accm: 2.71 (2.65) Acct: 4.36 (4.35) proj_loss: -0.5660 (-0.5721) time: 0.3628 data: 0.0003 [11-23 07:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.840 (6.848) Lt: 6.171 (6.160) Accm: 2.66 (2.62) Acct: 4.10 (4.05) proj_loss: -0.5567 (-0.5564) time: 0.3628 data: 0.0003 [11-23 07:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.874 (6.881) Lt: 6.163 (6.206) Accm: 2.49 (2.44) Acct: 3.93 (3.73) proj_loss: -0.5584 (-0.5609) time: 0.3628 data: 0.0003 [11-23 07:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.35 Lm: 6.788 (6.793) Lt: 6.123 (6.101) Accm: 2.62 (2.56) Acct: 4.14 (4.01) proj_loss: -0.5523 (-0.5570) time: 0.3628 data: 0.0003 [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.857 (6.807) Lt: 6.192 (6.119) Accm: 2.50 (2.53) Acct: 3.98 (3.98) proj_loss: -0.5535 (-0.5611) time: 0.3631 data: 0.0020 [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:06 (0.364 s / it) [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.799 (6.813) Lt: 6.138 (6.123) Accm: 2.78 (2.71) Acct: 4.24 (4.16) proj_loss: -0.5613 (-0.5610) time: 0.3631 data: 0.0017 [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.815 (6.815) Lt: 6.117 (6.113) Accm: 2.70 (2.65) Acct: 4.22 (4.29) proj_loss: -0.5720 (-0.5721) time: 0.3631 data: 0.0018 [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.907 (6.898) Lt: 6.175 (6.228) Accm: 2.40 (2.37) Acct: 3.93 (3.64) proj_loss: -0.5576 (-0.5602) time: 0.3631 data: 0.0015 [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:06 (0.364 s / it) [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:06 (0.364 s / it) [11-23 07:21:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:06 (0.364 s / it) [11-23 07:21:54] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.829 (6.837), Lt: 6.143 (6.156), Acc m&t: 2.55 3.98, Remain: 1 day, 19:51:21, Finish: 2024-11-24 11:13 [11-23 07:21:54] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.829 (6.837), Lt: 6.143 (6.156), Acc m&t: 2.55 3.98, Remain: 1 day, 19:49:47, Finish: 2024-11-24 11:11 [11-23 07:21:54] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.829 (6.837), Lt: 6.143 (6.156), Acc m&t: 2.55 3.98, Remain: 1 day, 19:50:03, Finish: 2024-11-24 11:11 [11-23 07:21:54] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.829 (6.837), Lt: 6.143 (6.156), Acc m&t: 2.55 3.98, Remain: 1 day, 19:53:05, Finish: 2024-11-24 11:14 [11-23 07:21:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:09:58 tlr: 0.00019 tnm: 0.33 Lm: 6.759 (6.759) Lt: 6.071 (6.071) Accm: 2.74 (2.74) Acct: 4.15 (4.15) proj_loss: -0.5711 (-0.5711) time: 0.3589 data: 0.0004 [11-23 07:21:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.33 Lm: 6.947 (6.947) Lt: 6.307 (6.307) Accm: 2.21 (2.21) Acct: 3.25 (3.25) proj_loss: -0.5680 (-0.5680) time: 0.3805 data: 0.0004 [11-23 07:21:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:10:15 tlr: 0.00019 tnm: 0.33 Lm: 6.866 (6.866) Lt: 6.174 (6.174) Accm: 2.47 (2.47) Acct: 3.79 (3.79) proj_loss: -0.5700 (-0.5700) time: 0.3689 data: 0.0004 [11-23 07:21:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:10:02 tlr: 0.00019 tnm: 0.33 Lm: 6.827 (6.827) Lt: 6.151 (6.151) Accm: 2.62 (2.62) Acct: 4.01 (4.01) proj_loss: -0.5730 (-0.5730) time: 0.3609 data: 0.0004 [11-23 07:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.843 (6.843) Lt: 6.159 (6.159) Accm: 2.55 (2.55) Acct: 3.93 (3.93) proj_loss: -0.5709 (-0.5709) time: 0.3660 data: 0.0003 [11-23 07:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.913 (6.913) Lt: 6.257 (6.257) Accm: 2.22 (2.22) Acct: 3.42 (3.42) proj_loss: -0.5715 (-0.5715) time: 0.3660 data: 0.0003 [11-23 07:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.889 (6.889) Lt: 6.216 (6.216) Accm: 2.49 (2.49) Acct: 3.99 (3.99) proj_loss: -0.5727 (-0.5727) time: 0.3660 data: 0.0003 [11-23 07:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.34 Lm: 6.869 (6.869) Lt: 6.188 (6.188) Accm: 2.58 (2.58) Acct: 3.98 (3.98) proj_loss: -0.5709 (-0.5709) time: 0.3660 data: 0.0003 [11-23 07:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.809 (6.849) Lt: 6.071 (6.140) Accm: 2.59 (2.58) Acct: 4.15 (4.05) proj_loss: -0.5708 (-0.5641) time: 0.3638 data: 0.0003 [11-23 07:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.866 (6.826) Lt: 6.174 (6.161) Accm: 2.52 (2.67) Acct: 4.18 (4.19) proj_loss: -0.5700 (-0.5708) time: 0.3638 data: 0.0003 [11-23 07:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.827 (6.824) Lt: 6.151 (6.127) Accm: 2.62 (2.65) Acct: 4.01 (4.21) proj_loss: -0.5688 (-0.5670) time: 0.3638 data: 0.0003 [11-23 07:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.947 (6.931) Lt: 6.286 (6.267) Accm: 2.24 (2.25) Acct: 3.37 (3.40) proj_loss: -0.5680 (-0.5688) time: 0.3638 data: 0.0003 [11-23 07:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.941 (6.932) Lt: 6.286 (6.272) Accm: 2.22 (2.19) Acct: 3.31 (3.30) proj_loss: -0.5715 (-0.5714) time: 0.3644 data: 0.0003 [11-23 07:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.828 (6.825) Lt: 6.136 (6.126) Accm: 2.62 (2.65) Acct: 4.17 (4.24) proj_loss: -0.5640 (-0.5648) time: 0.3644 data: 0.0003 [11-23 07:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.789 (6.829) Lt: 6.078 (6.126) Accm: 2.67 (2.63) Acct: 4.17 (4.11) proj_loss: -0.5709 (-0.5693) time: 0.3644 data: 0.0003 [11-23 07:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.889 (6.861) Lt: 6.216 (6.200) Accm: 2.49 (2.51) Acct: 3.99 (3.91) proj_loss: -0.5684 (-0.5673) time: 0.3644 data: 0.0003 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.935 (6.929) Lt: 6.286 (6.256) Accm: 2.21 (2.19) Acct: 3.25 (3.24) proj_loss: -0.5680 (-0.5671) time: 0.3638 data: 0.0019 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.827 (6.807) Lt: 6.121 (6.102) Accm: 2.63 (2.67) Acct: 4.32 (4.33) proj_loss: -0.5688 (-0.5661) time: 0.3638 data: 0.0016 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.866 (6.836) Lt: 6.174 (6.171) Accm: 2.52 (2.55) Acct: 4.18 (3.97) proj_loss: -0.5700 (-0.5715) time: 0.3638 data: 0.0021 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:05 (0.363 s / it) [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:05 (0.363 s / it) [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:05 (0.363 s / it) [11-23 07:32:03] (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 (6.826) Lt: 6.085 (6.121) Accm: 2.59 (2.59) Acct: 4.15 (4.03) proj_loss: -0.5711 (-0.5722) time: 0.3638 data: 0.0016 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:05 (0.363 s / it) [11-23 07:32:03] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.829 (6.831), Lt: 6.143 (6.146), Acc m&t: 2.55 3.98, Remain: 1 day, 19:50:33, Finish: 2024-11-24 11:22 [11-23 07:32:03] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.829 (6.831), Lt: 6.143 (6.146), Acc m&t: 2.55 3.98, Remain: 1 day, 19:50:02, Finish: 2024-11-24 11:22 [11-23 07:32:03] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.829 (6.831), Lt: 6.143 (6.146), Acc m&t: 2.55 3.98, Remain: 1 day, 19:50:07, Finish: 2024-11-24 11:22 [11-23 07:32:03] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.829 (6.831), Lt: 6.143 (6.146), Acc m&t: 2.55 3.98, Remain: 1 day, 19:50:35, Finish: 2024-11-24 11:22 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:09:52 tlr: 0.00019 tnm: 0.36 Lm: 6.855 (6.855) Lt: 6.216 (6.216) Accm: 2.53 (2.53) Acct: 3.53 (3.53) proj_loss: -0.5603 (-0.5603) time: 0.3549 data: 0.0004 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:10:02 tlr: 0.00019 tnm: 0.36 Lm: 6.742 (6.742) Lt: 6.060 (6.060) Accm: 2.93 (2.93) Acct: 4.60 (4.60) proj_loss: -0.5627 (-0.5627) time: 0.3611 data: 0.0003 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:09:52 tlr: 0.00019 tnm: 0.36 Lm: 6.938 (6.938) Lt: 6.279 (6.279) Accm: 2.24 (2.24) Acct: 3.32 (3.32) proj_loss: -0.5667 (-0.5667) time: 0.3551 data: 0.0004 [11-23 07:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:09:59 tlr: 0.00019 tnm: 0.36 Lm: 6.871 (6.871) Lt: 6.210 (6.210) Accm: 2.40 (2.40) Acct: 3.56 (3.56) proj_loss: -0.5779 (-0.5779) time: 0.3592 data: 0.0004 [11-23 07:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.833 (6.833) Lt: 6.140 (6.140) Accm: 2.42 (2.42) Acct: 3.68 (3.68) proj_loss: -0.5678 (-0.5678) time: 0.3611 data: 0.0002 [11-23 07:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.843 (6.843) Lt: 6.194 (6.194) Accm: 2.57 (2.57) Acct: 3.75 (3.75) proj_loss: -0.5670 (-0.5670) time: 0.3611 data: 0.0003 [11-23 07:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.781 (6.781) Lt: 6.083 (6.083) Accm: 2.84 (2.84) Acct: 4.39 (4.39) proj_loss: -0.5501 (-0.5501) time: 0.3611 data: 0.0002 [11-23 07:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:33 tlr: 0.00019 tnm: 0.33 Lm: 6.917 (6.917) Lt: 6.246 (6.246) Accm: 2.34 (2.34) Acct: 3.61 (3.61) proj_loss: -0.5509 (-0.5509) time: 0.3611 data: 0.0003 [11-23 07:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:13 tlr: 0.00019 tnm: 0.38 Lm: 6.931 (6.922) Lt: 6.235 (6.242) Accm: 2.24 (2.31) Acct: 3.58 (3.60) proj_loss: -0.5667 (-0.5567) time: 0.4095 data: 0.0003 [11-23 07:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:13 tlr: 0.00019 tnm: 0.38 Lm: 6.831 (6.831) Lt: 6.172 (6.166) Accm: 2.58 (2.57) Acct: 3.87 (3.79) proj_loss: -0.5737 (-0.5695) time: 0.4095 data: 0.0002 [11-23 07:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:13 tlr: 0.00019 tnm: 0.38 Lm: 6.847 (6.838) Lt: 6.169 (6.150) Accm: 2.44 (2.44) Acct: 3.81 (3.77) proj_loss: -0.5622 (-0.5659) time: 0.4095 data: 0.0002 [11-23 07:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:13 tlr: 0.00019 tnm: 0.38 Lm: 6.742 (6.725) Lt: 6.060 (6.031) Accm: 2.93 (2.88) Acct: 4.60 (4.46) proj_loss: -0.5627 (-0.5586) time: 0.4095 data: 0.0003 [11-23 07:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.781 (6.763) Lt: 6.083 (6.061) Accm: 2.84 (2.77) Acct: 4.39 (4.34) proj_loss: -0.5676 (-0.5621) time: 0.4078 data: 0.0003 [11-23 07:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.819 (6.823) Lt: 6.142 (6.147) Accm: 2.59 (2.61) Acct: 3.93 (3.94) proj_loss: -0.5739 (-0.5706) time: 0.4078 data: 0.0003 [11-23 07:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.821 (6.819) Lt: 6.119 (6.120) Accm: 2.45 (2.44) Acct: 3.79 (3.77) proj_loss: -0.5701 (-0.5701) time: 0.4078 data: 0.0003 [11-23 07:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.914 (6.902) Lt: 6.224 (6.207) Accm: 2.34 (2.39) Acct: 3.74 (3.79) proj_loss: -0.5675 (-0.5643) time: 0.4078 data: 0.0003 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.897 (6.892) Lt: 6.213 (6.200) Accm: 2.24 (2.36) Acct: 3.62 (3.76) proj_loss: -0.5683 (-0.5665) time: 0.3653 data: 0.0022 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:29 (0.377 s / it) [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.742 (6.748) Lt: 6.060 (6.038) Accm: 2.75 (2.75) Acct: 4.27 (4.33) proj_loss: -0.5725 (-0.5659) time: 0.3653 data: 0.0019 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.847 (6.826) Lt: 6.121 (6.120) Accm: 2.44 (2.40) Acct: 3.81 (3.79) proj_loss: -0.5622 (-0.5677) time: 0.3653 data: 0.0017 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.808 (6.806) Lt: 6.111 (6.127) Accm: 2.60 (2.68) Acct: 3.98 (4.04) proj_loss: -0.5740 (-0.5729) time: 0.3653 data: 0.0020 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:29 (0.377 s / it) [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:29 (0.377 s / it) [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:29 (0.377 s / it) [11-23 07:42:33] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.829 (6.838), Lt: 6.143 (6.151), Acc m&t: 2.55 3.98, Remain: 1 day, 19:28:47, Finish: 2024-11-24 11:11 [11-23 07:42:33] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.829 (6.838), Lt: 6.143 (6.151), Acc m&t: 2.55 3.98, Remain: 1 day, 19:29:52, Finish: 2024-11-24 11:12 [11-23 07:42:33] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.829 (6.838), Lt: 6.143 (6.151), Acc m&t: 2.55 3.98, Remain: 1 day, 19:31:36, Finish: 2024-11-24 11:14 [11-23 07:42:33] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.829 (6.838), Lt: 6.143 (6.151), Acc m&t: 2.55 3.98, Remain: 1 day, 19:30:52, Finish: 2024-11-24 11:13 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:09:31 tlr: 0.00019 tnm: 0.36 Lm: 6.903 (6.903) Lt: 6.229 (6.229) Accm: 2.45 (2.45) Acct: 3.93 (3.93) proj_loss: -0.5568 (-0.5568) time: 0.3423 data: 0.0003 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:09:32 tlr: 0.00019 tnm: 0.36 Lm: 6.974 (6.974) Lt: 6.310 (6.310) Accm: 2.29 (2.29) Acct: 3.62 (3.62) proj_loss: -0.5720 (-0.5720) time: 0.3428 data: 0.0004 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:09:32 tlr: 0.00019 tnm: 0.36 Lm: 6.829 (6.829) Lt: 6.146 (6.146) Accm: 2.85 (2.85) Acct: 4.22 (4.22) proj_loss: -0.5846 (-0.5846) time: 0.3429 data: 0.0004 [11-23 07:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:09:33 tlr: 0.00019 tnm: 0.36 Lm: 6.822 (6.822) Lt: 6.092 (6.092) Accm: 2.51 (2.51) Acct: 4.01 (4.01) proj_loss: -0.5660 (-0.5660) time: 0.3436 data: 0.0004 [11-23 07:45:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.35 Lm: 6.875 (6.875) Lt: 6.174 (6.174) Accm: 2.37 (2.37) Acct: 3.69 (3.69) proj_loss: -0.5715 (-0.5715) time: 0.3634 data: 0.0002 [11-23 07:45:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.35 Lm: 6.854 (6.854) Lt: 6.181 (6.181) Accm: 2.65 (2.65) Acct: 4.05 (4.05) proj_loss: -0.5892 (-0.5892) time: 0.3634 data: 0.0004 [11-23 07:45:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.35 Lm: 6.885 (6.885) Lt: 6.226 (6.226) Accm: 2.40 (2.40) Acct: 3.70 (3.70) proj_loss: -0.5659 (-0.5659) time: 0.3634 data: 0.0002 [11-23 07:45:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.35 Lm: 6.826 (6.826) Lt: 6.153 (6.153) Accm: 2.61 (2.61) Acct: 4.02 (4.02) proj_loss: -0.5707 (-0.5707) time: 0.3634 data: 0.0003 [11-23 07:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.37 Lm: 6.856 (6.836) Lt: 6.147 (6.151) Accm: 2.34 (2.52) Acct: 4.01 (4.02) proj_loss: -0.5720 (-0.5728) time: 0.3622 data: 0.0003 [11-23 07:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.37 Lm: 6.903 (6.901) Lt: 6.229 (6.233) Accm: 2.36 (2.35) Acct: 3.56 (3.66) proj_loss: -0.5568 (-0.5598) time: 0.3622 data: 0.0003 [11-23 07:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.37 Lm: 6.879 (6.867) Lt: 6.209 (6.190) Accm: 2.45 (2.58) Acct: 3.89 (3.98) proj_loss: -0.5846 (-0.5816) time: 0.3622 data: 0.0002 [11-23 07:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.37 Lm: 6.822 (6.857) Lt: 6.114 (6.154) Accm: 2.51 (2.46) Acct: 4.01 (3.94) proj_loss: -0.5770 (-0.5743) time: 0.3622 data: 0.0002 [11-23 07:50:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.36 Lm: 6.821 (6.846) Lt: 6.103 (6.132) Accm: 2.58 (2.52) Acct: 4.18 (4.04) proj_loss: -0.5719 (-0.5724) time: 0.3594 data: 0.0003 [11-23 07:50:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.36 Lm: 6.885 (6.843) Lt: 6.226 (6.166) Accm: 2.40 (2.54) Acct: 3.74 (3.97) proj_loss: -0.5659 (-0.5687) time: 0.3594 data: 0.0003 [11-23 07:50:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.36 Lm: 6.804 (6.815) Lt: 6.082 (6.117) Accm: 2.49 (2.55) Acct: 4.05 (4.03) proj_loss: -0.5707 (-0.5669) time: 0.3594 data: 0.0003 [11-23 07:50:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:32 tlr: 0.00019 tnm: 0.36 Lm: 6.854 (6.843) Lt: 6.178 (6.168) Accm: 2.51 (2.57) Acct: 3.87 (3.93) proj_loss: -0.5822 (-0.5811) time: 0.3595 data: 0.0003 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.829 (6.818) Lt: 6.146 (6.142) Accm: 2.56 (2.60) Acct: 3.89 (4.00) proj_loss: -0.5799 (-0.5804) time: 0.3629 data: 0.0017 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:07 (0.364 s / it) [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.775 (6.807) Lt: 6.081 (6.110) Accm: 2.65 (2.61) Acct: 4.08 (4.11) proj_loss: -0.5720 (-0.5683) time: 0.3629 data: 0.0019 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.822 (6.857) Lt: 6.114 (6.153) Accm: 2.51 (2.51) Acct: 4.01 (4.00) proj_loss: -0.5768 (-0.5733) time: 0.3629 data: 0.0022 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.867 (6.841) Lt: 6.223 (6.159) Accm: 2.45 (2.54) Acct: 3.93 (4.00) proj_loss: -0.5750 (-0.5731) time: 0.3629 data: 0.0017 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:07 (0.364 s / it) [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:07 (0.364 s / it) [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:07 (0.364 s / it) [11-23 07:52:40] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.823 (6.823), Lt: 6.133 (6.133), Acc m&t: 2.55 3.99, Remain: 1 day, 19:01:56, Finish: 2024-11-24 10:54 [11-23 07:52:40] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.823 (6.823), Lt: 6.133 (6.133), Acc m&t: 2.55 3.99, Remain: 1 day, 19:02:15, Finish: 2024-11-24 10:54 [11-23 07:52:40] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.823 (6.823), Lt: 6.133 (6.133), Acc m&t: 2.55 3.99, Remain: 1 day, 18:59:45, Finish: 2024-11-24 10:52 [11-23 07:52:40] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.823 (6.823), Lt: 6.133 (6.133), Acc m&t: 2.55 3.99, Remain: 1 day, 19:01:45, Finish: 2024-11-24 10:54 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.35 Lm: 6.806 (6.806) Lt: 6.150 (6.150) Accm: 2.53 (2.53) Acct: 3.94 (3.94) proj_loss: -0.5623 (-0.5623) time: 0.3443 data: 0.0003 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.35 Lm: 6.905 (6.905) Lt: 6.257 (6.257) Accm: 2.32 (2.32) Acct: 3.58 (3.58) proj_loss: -0.5611 (-0.5611) time: 0.3441 data: 0.0004 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:09:36 tlr: 0.00019 tnm: 0.35 Lm: 6.838 (6.838) Lt: 6.135 (6.135) Accm: 2.75 (2.75) Acct: 4.36 (4.36) proj_loss: -0.5830 (-0.5830) time: 0.3451 data: 0.0003 [11-23 07:52:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.35 Lm: 6.873 (6.873) Lt: 6.170 (6.170) Accm: 2.32 (2.32) Acct: 3.65 (3.65) proj_loss: -0.5795 (-0.5795) time: 0.3440 data: 0.0004 [11-23 07:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.907 (6.907) Lt: 6.204 (6.204) Accm: 2.22 (2.22) Acct: 3.53 (3.53) proj_loss: -0.5625 (-0.5625) time: 0.3598 data: 0.0003 [11-23 07:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.820 (6.820) Lt: 6.135 (6.135) Accm: 2.48 (2.48) Acct: 3.94 (3.94) proj_loss: -0.5696 (-0.5696) time: 0.3598 data: 0.0003 [11-23 07:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.791 (6.791) Lt: 6.095 (6.095) Accm: 2.76 (2.76) Acct: 4.39 (4.39) proj_loss: -0.5757 (-0.5757) time: 0.3598 data: 0.0002 [11-23 07:55:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.811 (6.811) Lt: 6.131 (6.131) Accm: 2.66 (2.66) Acct: 4.18 (4.18) proj_loss: -0.5640 (-0.5640) time: 0.3598 data: 0.0003 [11-23 07:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.717 (6.775) Lt: 6.006 (6.077) Accm: 2.81 (2.71) Acct: 4.58 (4.32) proj_loss: -0.5670 (-0.5670) time: 0.3599 data: 0.0002 [11-23 07:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.833 (6.857) Lt: 6.150 (6.179) Accm: 2.51 (2.49) Acct: 3.94 (3.93) proj_loss: -0.5730 (-0.5708) time: 0.3599 data: 0.0003 [11-23 07:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.838 (6.809) Lt: 6.135 (6.120) Accm: 2.75 (2.63) Acct: 4.36 (4.13) proj_loss: -0.5830 (-0.5807) time: 0.3599 data: 0.0002 [11-23 07:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.873 (6.891) Lt: 6.170 (6.187) Accm: 2.32 (2.38) Acct: 3.65 (3.74) proj_loss: -0.5795 (-0.5704) time: 0.3599 data: 0.0003 [11-23 08:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.866 (6.846) Lt: 6.162 (6.138) Accm: 2.51 (2.50) Acct: 3.90 (3.93) proj_loss: -0.5728 (-0.5693) time: 0.3625 data: 0.0003 [11-23 08:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.820 (6.841) Lt: 6.135 (6.153) Accm: 2.52 (2.50) Acct: 3.94 (3.99) proj_loss: -0.5750 (-0.5728) time: 0.3626 data: 0.0003 [11-23 08:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.711 (6.736) Lt: 5.987 (6.029) Accm: 2.91 (2.83) Acct: 4.68 (4.46) proj_loss: -0.5674 (-0.5672) time: 0.3626 data: 0.0003 [11-23 08:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.841 (6.854) Lt: 6.153 (6.161) Accm: 2.56 (2.52) Acct: 3.98 (3.97) proj_loss: -0.5757 (-0.5734) time: 0.3625 data: 0.0003 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.838 (6.837) Lt: 6.135 (6.139) Accm: 2.59 (2.54) Acct: 3.98 (3.97) proj_loss: -0.5719 (-0.5731) time: 0.3650 data: 0.0019 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.717 (6.789) Lt: 6.006 (6.097) Accm: 2.81 (2.70) Acct: 4.58 (4.24) proj_loss: -0.5670 (-0.5659) time: 0.3649 data: 0.0019 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.860 (6.809) Lt: 6.154 (6.101) Accm: 2.70 (2.57) Acct: 4.15 (4.05) proj_loss: -0.5775 (-0.5710) time: 0.3649 data: 0.0014 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.806 (6.830) Lt: 6.119 (6.131) Accm: 2.53 (2.51) Acct: 3.94 (4.01) proj_loss: -0.5730 (-0.5719) time: 0.3650 data: 0.0019 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:02:46] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.823 (6.841), Lt: 6.133 (6.158), Acc m&t: 2.55 3.99, Remain: 1 day, 19:06:28, Finish: 2024-11-24 11:09 [11-23 08:02:46] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.823 (6.841), Lt: 6.133 (6.158), Acc m&t: 2.55 3.99, Remain: 1 day, 19:08:25, Finish: 2024-11-24 11:11 [11-23 08:02:46] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.823 (6.841), Lt: 6.133 (6.158), Acc m&t: 2.55 3.99, Remain: 1 day, 19:06:21, Finish: 2024-11-24 11:09 [11-23 08:02:46] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.823 (6.841), Lt: 6.133 (6.158), Acc m&t: 2.55 3.99, Remain: 1 day, 19:06:44, Finish: 2024-11-24 11:09 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:08 tlr: 0.00019 tnm: 0.37 Lm: 6.812 (6.812) Lt: 6.125 (6.125) Accm: 2.29 (2.29) Acct: 3.44 (3.44) proj_loss: -0.5704 (-0.5704) time: 0.3644 data: 0.0004 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:09 tlr: 0.00019 tnm: 0.37 Lm: 6.865 (6.865) Lt: 6.179 (6.179) Accm: 2.40 (2.40) Acct: 3.98 (3.98) proj_loss: -0.5796 (-0.5796) time: 0.3652 data: 0.0004 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:09 tlr: 0.00019 tnm: 0.37 Lm: 6.888 (6.888) Lt: 6.243 (6.243) Accm: 2.54 (2.54) Acct: 3.87 (3.87) proj_loss: -0.5814 (-0.5814) time: 0.3655 data: 0.0004 [11-23 08:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.37 Lm: 6.931 (6.931) Lt: 6.288 (6.288) Accm: 2.21 (2.21) Acct: 3.48 (3.48) proj_loss: -0.5830 (-0.5830) time: 0.3655 data: 0.0004 [11-23 08:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.36 Lm: 6.859 (6.859) Lt: 6.201 (6.201) Accm: 2.44 (2.44) Acct: 3.75 (3.75) proj_loss: -0.5915 (-0.5915) time: 0.3622 data: 0.0004 [11-23 08:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.36 Lm: 6.825 (6.825) Lt: 6.178 (6.178) Accm: 2.52 (2.52) Acct: 3.88 (3.88) proj_loss: -0.5778 (-0.5778) time: 0.3622 data: 0.0002 [11-23 08:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.36 Lm: 6.843 (6.843) Lt: 6.149 (6.149) Accm: 2.41 (2.41) Acct: 3.94 (3.94) proj_loss: -0.5773 (-0.5773) time: 0.3622 data: 0.0002 [11-23 08:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.36 Lm: 6.792 (6.792) Lt: 6.100 (6.100) Accm: 2.53 (2.53) Acct: 3.86 (3.86) proj_loss: -0.5701 (-0.5701) time: 0.3622 data: 0.0003 [11-23 08:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:16 tlr: 0.00019 tnm: 0.36 Lm: 6.812 (6.840) Lt: 6.125 (6.151) Accm: 2.40 (2.49) Acct: 3.86 (3.86) proj_loss: -0.5698 (-0.5677) time: 0.3642 data: 0.0003 [11-23 08:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:16 tlr: 0.00019 tnm: 0.36 Lm: 6.931 (6.909) Lt: 6.288 (6.233) Accm: 2.21 (2.28) Acct: 3.48 (3.52) proj_loss: -0.5830 (-0.5781) time: 0.3642 data: 0.0003 [11-23 08:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:16 tlr: 0.00019 tnm: 0.36 Lm: 6.762 (6.797) Lt: 6.114 (6.124) Accm: 2.54 (2.61) Acct: 3.89 (4.05) proj_loss: -0.5743 (-0.5738) time: 0.3642 data: 0.0002 [11-23 08:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:16 tlr: 0.00019 tnm: 0.36 Lm: 6.865 (6.875) Lt: 6.179 (6.181) Accm: 2.40 (2.39) Acct: 3.91 (3.85) proj_loss: -0.5750 (-0.5753) time: 0.3642 data: 0.0003 [11-23 08:10:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.843 (6.816) Lt: 6.149 (6.118) Accm: 2.41 (2.54) Acct: 3.94 (4.11) proj_loss: -0.5731 (-0.5738) time: 0.3663 data: 0.0003 [11-23 08:10:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.924 (6.911) Lt: 6.263 (6.234) Accm: 2.31 (2.31) Acct: 3.63 (3.59) proj_loss: -0.5732 (-0.5745) time: 0.3663 data: 0.0003 [11-23 08:10:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.830 (6.842) Lt: 6.137 (6.150) Accm: 2.48 (2.51) Acct: 3.95 (3.90) proj_loss: -0.5701 (-0.5691) time: 0.3663 data: 0.0003 [11-23 08:10:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.791 (6.803) Lt: 6.108 (6.119) Accm: 2.52 (2.58) Acct: 3.88 (3.99) proj_loss: -0.5774 (-0.5754) time: 0.3663 data: 0.0003 [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.762 (6.789) Lt: 6.101 (6.105) Accm: 2.54 (2.64) Acct: 3.89 (4.08) proj_loss: -0.5804 (-0.5802) time: 0.3655 data: 0.0017 [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.821 (6.805) Lt: 6.118 (6.098) Accm: 2.42 (2.54) Acct: 3.98 (4.09) proj_loss: -0.5750 (-0.5753) time: 0.3655 data: 0.0019 [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.824 (6.839) Lt: 6.125 (6.144) Accm: 2.40 (2.46) Acct: 3.86 (3.77) proj_loss: -0.5698 (-0.5674) time: 0.3655 data: 0.0014 [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.918 (6.902) Lt: 6.239 (6.221) Accm: 2.40 (2.38) Acct: 3.79 (3.71) proj_loss: -0.5635 (-0.5688) time: 0.3655 data: 0.0019 [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:13:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:13:16] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.823 (6.839), Lt: 6.133 (6.154), Acc m&t: 2.55 3.99, Remain: 1 day, 19:05:04, Finish: 2024-11-24 11:18 [11-23 08:13:16] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.823 (6.839), Lt: 6.133 (6.154), Acc m&t: 2.55 3.99, Remain: 1 day, 19:04:14, Finish: 2024-11-24 11:17 [11-23 08:13:16] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.823 (6.839), Lt: 6.133 (6.154), Acc m&t: 2.55 3.99, Remain: 1 day, 19:03:59, Finish: 2024-11-24 11:17 [11-23 08:13:16] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.823 (6.839), Lt: 6.133 (6.154), Acc m&t: 2.55 3.99, Remain: 1 day, 19:05:17, Finish: 2024-11-24 11:18 [11-23 08:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:47 tlr: 0.00019 tnm: 0.36 Lm: 6.904 (6.904) Lt: 6.245 (6.245) Accm: 2.27 (2.27) Acct: 3.48 (3.48) proj_loss: -0.5540 (-0.5540) time: 0.3517 data: 0.0003 [11-23 08:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:47 tlr: 0.00019 tnm: 0.36 Lm: 6.729 (6.729) Lt: 6.001 (6.001) Accm: 2.81 (2.81) Acct: 4.49 (4.49) proj_loss: -0.5703 (-0.5703) time: 0.3521 data: 0.0003 [11-23 08:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:44 tlr: 0.00019 tnm: 0.36 Lm: 6.875 (6.875) Lt: 6.187 (6.187) Accm: 2.38 (2.38) Acct: 3.60 (3.60) proj_loss: -0.5837 (-0.5837) time: 0.3500 data: 0.0004 [11-23 08:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:49 tlr: 0.00019 tnm: 0.36 Lm: 6.879 (6.879) Lt: 6.196 (6.196) Accm: 2.18 (2.18) Acct: 3.53 (3.53) proj_loss: -0.5820 (-0.5820) time: 0.3529 data: 0.0004 [11-23 08:15:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:35 tlr: 0.00019 tnm: 0.34 Lm: 6.818 (6.818) Lt: 6.120 (6.120) Accm: 2.48 (2.48) Acct: 3.92 (3.92) proj_loss: -0.5778 (-0.5778) time: 0.3626 data: 0.0003 [11-23 08:15:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:35 tlr: 0.00019 tnm: 0.34 Lm: 6.812 (6.812) Lt: 6.123 (6.123) Accm: 2.60 (2.60) Acct: 4.23 (4.23) proj_loss: -0.5713 (-0.5713) time: 0.3626 data: 0.0003 [11-23 08:15:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:35 tlr: 0.00019 tnm: 0.34 Lm: 6.817 (6.817) Lt: 6.127 (6.127) Accm: 2.58 (2.58) Acct: 4.13 (4.13) proj_loss: -0.5631 (-0.5631) time: 0.3626 data: 0.0003 [11-23 08:15:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:35 tlr: 0.00019 tnm: 0.34 Lm: 6.927 (6.927) Lt: 6.267 (6.267) Accm: 2.25 (2.25) Acct: 3.49 (3.49) proj_loss: -0.5642 (-0.5642) time: 0.3626 data: 0.0003 [11-23 08:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.34 Lm: 6.875 (6.879) Lt: 6.187 (6.215) Accm: 2.38 (2.44) Acct: 3.60 (3.69) proj_loss: -0.5692 (-0.5659) time: 0.3641 data: 0.0003 [11-23 08:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.34 Lm: 6.894 (6.844) Lt: 6.229 (6.158) Accm: 2.45 (2.55) Acct: 3.96 (4.05) proj_loss: -0.5723 (-0.5738) time: 0.3641 data: 0.0003 [11-23 08:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.34 Lm: 6.904 (6.864) Lt: 6.245 (6.183) Accm: 2.27 (2.44) Acct: 3.53 (3.93) proj_loss: -0.5722 (-0.5663) time: 0.3641 data: 0.0003 [11-23 08:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.34 Lm: 6.835 (6.824) Lt: 6.144 (6.128) Accm: 2.53 (2.50) Acct: 4.06 (3.97) proj_loss: -0.5736 (-0.5737) time: 0.3641 data: 0.0003 [11-23 08:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.33 Lm: 6.796 (6.807) Lt: 6.123 (6.122) Accm: 2.66 (2.57) Acct: 4.13 (4.02) proj_loss: -0.5695 (-0.5684) time: 0.3631 data: 0.0002 [11-23 08:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.33 Lm: 6.896 (6.858) Lt: 6.226 (6.174) Accm: 2.44 (2.52) Acct: 3.83 (3.93) proj_loss: -0.5713 (-0.5682) time: 0.3631 data: 0.0003 [11-23 08:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.33 Lm: 6.844 (6.863) Lt: 6.163 (6.196) Accm: 2.39 (2.43) Acct: 3.71 (3.72) proj_loss: -0.5652 (-0.5647) time: 0.3631 data: 0.0003 [11-23 08:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.33 Lm: 6.869 (6.857) Lt: 6.206 (6.179) Accm: 2.36 (2.44) Acct: 3.69 (3.91) proj_loss: -0.5634 (-0.5634) time: 0.3631 data: 0.0003 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.835 (6.838) Lt: 6.167 (6.173) Accm: 2.45 (2.50) Acct: 3.86 (3.94) proj_loss: -0.5722 (-0.5707) time: 0.3634 data: 0.0019 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.861 (6.862) Lt: 6.148 (6.186) Accm: 2.40 (2.49) Acct: 3.82 (3.88) proj_loss: -0.5611 (-0.5625) time: 0.3634 data: 0.0019 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.898 (6.887) Lt: 6.229 (6.220) Accm: 2.44 (2.44) Acct: 3.70 (3.78) proj_loss: -0.5723 (-0.5727) time: 0.3634 data: 0.0021 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.835 (6.827) Lt: 6.144 (6.141) Accm: 2.53 (2.50) Acct: 4.06 (3.98) proj_loss: -0.5719 (-0.5691) time: 0.3634 data: 0.0018 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:23:24] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.823 (6.834), Lt: 6.133 (6.150), Acc m&t: 2.55 3.99, Remain: 1 day, 18:36:19, Finish: 2024-11-24 10:59 [11-23 08:23:24] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.823 (6.834), Lt: 6.133 (6.150), Acc m&t: 2.55 3.99, Remain: 1 day, 18:37:07, Finish: 2024-11-24 11:00 [11-23 08:23:24] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.823 (6.834), Lt: 6.133 (6.150), Acc m&t: 2.55 3.99, Remain: 1 day, 18:35:28, Finish: 2024-11-24 10:58 [11-23 08:23:24] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.823 (6.834), Lt: 6.133 (6.150), Acc m&t: 2.55 3.99, Remain: 1 day, 18:35:39, Finish: 2024-11-24 10:59 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:41 tlr: 0.00019 tnm: 0.36 Lm: 6.760 (6.760) Lt: 6.061 (6.061) Accm: 2.72 (2.72) Acct: 4.18 (4.18) proj_loss: -0.5872 (-0.5872) time: 0.3485 data: 0.0004 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.36 Lm: 6.641 (6.641) Lt: 5.952 (5.952) Accm: 3.32 (3.32) Acct: 4.99 (4.99) proj_loss: -0.5675 (-0.5675) time: 0.3451 data: 0.0004 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:42 tlr: 0.00019 tnm: 0.36 Lm: 6.810 (6.810) Lt: 6.121 (6.121) Accm: 2.49 (2.49) Acct: 3.84 (3.84) proj_loss: -0.5548 (-0.5548) time: 0.3492 data: 0.0004 [11-23 08:23:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:41 tlr: 0.00019 tnm: 0.36 Lm: 6.837 (6.837) Lt: 6.161 (6.161) Accm: 2.46 (2.46) Acct: 3.94 (3.94) proj_loss: -0.5434 (-0.5434) time: 0.3483 data: 0.0004 [11-23 08:25:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.879 (6.879) Lt: 6.190 (6.190) Accm: 2.35 (2.35) Acct: 3.73 (3.73) proj_loss: -0.5530 (-0.5530) time: 0.3629 data: 0.0003 [11-23 08:25:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.834 (6.834) Lt: 6.179 (6.179) Accm: 2.59 (2.59) Acct: 3.97 (3.97) proj_loss: -0.5897 (-0.5897) time: 0.3629 data: 0.0003 [11-23 08:25:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.801 (6.801) Lt: 6.103 (6.103) Accm: 2.74 (2.74) Acct: 4.30 (4.30) proj_loss: -0.5554 (-0.5554) time: 0.3629 data: 0.0002 [11-23 08:25:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.36 Lm: 6.691 (6.691) Lt: 6.009 (6.009) Accm: 3.15 (3.15) Acct: 4.91 (4.91) proj_loss: -0.5689 (-0.5689) time: 0.3629 data: 0.0003 [11-23 08:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.741 (6.744) Lt: 6.065 (6.081) Accm: 2.97 (2.94) Acct: 4.82 (4.51) proj_loss: -0.5703 (-0.5702) time: 0.3625 data: 0.0003 [11-23 08:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.881 (6.849) Lt: 6.226 (6.195) Accm: 2.46 (2.52) Acct: 3.77 (3.90) proj_loss: -0.5922 (-0.5930) time: 0.3625 data: 0.0003 [11-23 08:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.792 (6.759) Lt: 6.086 (6.061) Accm: 2.78 (2.75) Acct: 4.44 (4.35) proj_loss: -0.5559 (-0.5599) time: 0.3625 data: 0.0002 [11-23 08:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.877 (6.878) Lt: 6.198 (6.193) Accm: 2.40 (2.36) Acct: 3.89 (3.78) proj_loss: -0.5566 (-0.5542) time: 0.3625 data: 0.0003 [11-23 08:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.857 (6.840) Lt: 6.180 (6.154) Accm: 2.43 (2.43) Acct: 3.92 (3.87) proj_loss: -0.5597 (-0.5643) time: 0.3639 data: 0.0003 [11-23 08:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.860 (6.847) Lt: 6.191 (6.185) Accm: 2.44 (2.49) Acct: 3.81 (3.89) proj_loss: -0.5897 (-0.5851) time: 0.3639 data: 0.0003 [11-23 08:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.754 (6.748) Lt: 6.073 (6.060) Accm: 2.74 (2.74) Acct: 4.33 (4.32) proj_loss: -0.5624 (-0.5629) time: 0.3639 data: 0.0003 [11-23 08:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.37 Lm: 6.796 (6.771) Lt: 6.132 (6.111) Accm: 2.75 (2.83) Acct: 4.32 (4.33) proj_loss: -0.5689 (-0.5648) time: 0.3639 data: 0.0003 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.38 Lm: 6.741 (6.763) Lt: 6.065 (6.080) Accm: 2.90 (2.85) Acct: 4.68 (4.40) proj_loss: -0.5703 (-0.5677) time: 0.3609 data: 0.0018 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.38 Lm: 6.837 (6.824) Lt: 6.161 (6.133) Accm: 2.46 (2.50) Acct: 3.94 (4.00) proj_loss: -0.5627 (-0.5651) time: 0.3609 data: 0.0018 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.38 Lm: 6.735 (6.745) Lt: 6.060 (6.051) Accm: 2.78 (2.76) Acct: 4.44 (4.36) proj_loss: -0.5678 (-0.5639) time: 0.3609 data: 0.0018 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.38 Lm: 6.880 (6.854) Lt: 6.209 (6.190) Accm: 2.41 (2.43) Acct: 3.77 (3.79) proj_loss: -0.5922 (-0.5875) time: 0.3609 data: 0.0019 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:05 (0.363 s / it) [11-23 08:33:29] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.823 (6.830), Lt: 6.133 (6.145), Acc m&t: 2.55 3.99, Remain: 1 day, 18:25:49, Finish: 2024-11-24 10:59 [11-23 08:33:29] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.823 (6.830), Lt: 6.133 (6.145), Acc m&t: 2.55 3.99, Remain: 1 day, 18:25:27, Finish: 2024-11-24 10:58 [11-23 08:33:29] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.823 (6.830), Lt: 6.133 (6.145), Acc m&t: 2.55 3.99, Remain: 1 day, 18:26:32, Finish: 2024-11-24 11:00 [11-23 08:33:29] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.823 (6.830), Lt: 6.133 (6.145), Acc m&t: 2.55 3.99, Remain: 1 day, 18:24:56, Finish: 2024-11-24 10:58 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:49 tlr: 0.00019 tnm: 0.39 Lm: 6.856 (6.856) Lt: 6.174 (6.174) Accm: 2.56 (2.56) Acct: 4.20 (4.20) proj_loss: -0.5763 (-0.5763) time: 0.3534 data: 0.0004 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:51 tlr: 0.00019 tnm: 0.39 Lm: 6.728 (6.728) Lt: 6.075 (6.075) Accm: 3.10 (3.10) Acct: 4.77 (4.77) proj_loss: -0.5735 (-0.5735) time: 0.3546 data: 0.0004 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:50 tlr: 0.00019 tnm: 0.39 Lm: 6.797 (6.797) Lt: 6.140 (6.140) Accm: 2.57 (2.57) Acct: 3.81 (3.81) proj_loss: -0.5776 (-0.5776) time: 0.3540 data: 0.0003 [11-23 08:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:51 tlr: 0.00019 tnm: 0.39 Lm: 6.804 (6.804) Lt: 6.105 (6.105) Accm: 2.75 (2.75) Acct: 4.27 (4.27) proj_loss: -0.5757 (-0.5757) time: 0.3547 data: 0.0004 [11-23 08:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:46 tlr: 0.00019 tnm: 0.38 Lm: 6.842 (6.842) Lt: 6.159 (6.159) Accm: 2.64 (2.64) Acct: 4.06 (4.06) proj_loss: -0.5617 (-0.5617) time: 0.4133 data: 0.0003 [11-23 08:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:46 tlr: 0.00019 tnm: 0.38 Lm: 6.881 (6.881) Lt: 6.209 (6.209) Accm: 2.40 (2.40) Acct: 3.84 (3.84) proj_loss: -0.5754 (-0.5754) time: 0.4133 data: 0.0002 [11-23 08:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:46 tlr: 0.00019 tnm: 0.38 Lm: 6.782 (6.782) Lt: 6.137 (6.137) Accm: 2.55 (2.55) Acct: 3.71 (3.71) proj_loss: -0.5757 (-0.5757) time: 0.4133 data: 0.0003 [11-23 08:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:46 tlr: 0.00019 tnm: 0.38 Lm: 6.733 (6.733) Lt: 6.027 (6.027) Accm: 2.79 (2.79) Acct: 4.46 (4.46) proj_loss: -0.5786 (-0.5786) time: 0.4133 data: 0.0003 [11-23 08:38:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:23 tlr: 0.00019 tnm: 0.35 Lm: 6.739 (6.767) Lt: 6.075 (6.062) Accm: 2.47 (2.67) Acct: 4.15 (4.30) proj_loss: -0.5735 (-0.5742) time: 0.3600 data: 0.0007 [11-23 08:38:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:23 tlr: 0.00019 tnm: 0.35 Lm: 6.797 (6.838) Lt: 6.140 (6.178) Accm: 2.52 (2.41) Acct: 3.62 (3.57) proj_loss: -0.5738 (-0.5703) time: 0.3600 data: 0.0003 [11-23 08:38:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:23 tlr: 0.00019 tnm: 0.35 Lm: 6.856 (6.841) Lt: 6.174 (6.155) Accm: 2.56 (2.54) Acct: 4.20 (4.10) proj_loss: -0.5746 (-0.5751) time: 0.3600 data: 0.0003 [11-23 08:38:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:23 tlr: 0.00019 tnm: 0.35 Lm: 6.810 (6.831) Lt: 6.105 (6.127) Accm: 2.56 (2.62) Acct: 3.86 (3.98) proj_loss: -0.5599 (-0.5611) time: 0.3600 data: 0.0003 [11-23 08:41:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.35 Lm: 6.845 (6.850) Lt: 6.159 (6.160) Accm: 2.55 (2.50) Acct: 3.84 (3.81) proj_loss: -0.5678 (-0.5709) time: 0.3667 data: 0.0003 [11-23 08:41:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.35 Lm: 6.790 (6.824) Lt: 6.137 (6.142) Accm: 2.55 (2.49) Acct: 3.71 (3.78) proj_loss: -0.5757 (-0.5724) time: 0.3667 data: 0.0003 [11-23 08:41:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.35 Lm: 6.808 (6.801) Lt: 6.110 (6.118) Accm: 2.70 (2.64) Acct: 4.41 (4.24) proj_loss: -0.5744 (-0.5735) time: 0.3667 data: 0.0003 [11-23 08:41:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.35 Lm: 6.760 (6.771) Lt: 6.074 (6.065) Accm: 2.72 (2.74) Acct: 4.38 (4.38) proj_loss: -0.5777 (-0.5761) time: 0.3667 data: 0.0003 [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.739 (6.762) Lt: 6.074 (6.042) Accm: 2.80 (2.75) Acct: 4.55 (4.41) proj_loss: -0.5735 (-0.5750) time: 0.3633 data: 0.0017 [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.783 (6.815) Lt: 6.135 (6.135) Accm: 2.57 (2.55) Acct: 3.81 (3.93) proj_loss: -0.5776 (-0.5773) time: 0.3633 data: 0.0019 [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.852 (6.811) Lt: 6.174 (6.138) Accm: 2.56 (2.55) Acct: 4.20 (4.01) proj_loss: -0.5746 (-0.5751) time: 0.3633 data: 0.0014 [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.880 (6.882) Lt: 6.213 (6.199) Accm: 2.54 (2.41) Acct: 3.82 (3.64) proj_loss: -0.5757 (-0.5727) time: 0.3633 data: 0.0017 [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:43:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:30 (0.378 s / it) [11-23 08:46:05] (home/user/VAR/trainer.py, line 114)=> FID: 4.985107155552896 [11-23 08:46:05] (/home/user/VAR/train.py , line 259)=> [*] [ep99] (val 50000) Lm: 6.8197, Lt: 6.1357, Acc m&t: 2.57 4.03, Val cost: 125.95s [11-23 08:46:05] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 08:46:22] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.820 (6.820), Lt: 6.133 (6.136), Acc m&t: 2.57 4.03, Remain: 1 day, 18:19:47, Finish: 2024-11-24 11:03 [11-23 08:46:22] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.820 (6.820), Lt: 6.133 (6.136), Acc m&t: 2.57 4.03, Remain: 1 day, 18:18:15, Finish: 2024-11-24 11:02 [11-23 08:46:22] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.820 (6.820), Lt: 6.133 (6.136), Acc m&t: 2.57 4.03, Remain: 1 day, 18:18:40, Finish: 2024-11-24 11:02 [11-23 08:46:22] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.820 (6.820), Lt: 6.133 (6.136), Acc m&t: 2.57 4.03, Remain: 1 day, 18:18:02, Finish: 2024-11-24 11:02 [11-23 08:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:09:59 tlr: 0.00018 tnm: 0.36 Lm: 6.888 (6.888) Lt: 6.214 (6.214) Accm: 2.28 (2.28) Acct: 3.60 (3.60) proj_loss: -0.5789 (-0.5789) time: 0.3591 data: 0.0004 [11-23 08:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:09:58 tlr: 0.00018 tnm: 0.36 Lm: 6.785 (6.785) Lt: 6.103 (6.103) Accm: 2.56 (2.56) Acct: 4.10 (4.10) proj_loss: -0.5782 (-0.5782) time: 0.3585 data: 0.0004 [11-23 08:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:09:59 tlr: 0.00018 tnm: 0.36 Lm: 6.849 (6.849) Lt: 6.152 (6.152) Accm: 2.45 (2.45) Acct: 3.91 (3.91) proj_loss: -0.5816 (-0.5816) time: 0.3594 data: 0.0003 [11-23 08:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:10:00 tlr: 0.00018 tnm: 0.36 Lm: 6.725 (6.725) Lt: 6.027 (6.027) Accm: 2.99 (2.99) Acct: 4.80 (4.80) proj_loss: -0.5746 (-0.5746) time: 0.3595 data: 0.0004 [11-23 08:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.871 (6.871) Lt: 6.192 (6.192) Accm: 2.32 (2.32) Acct: 3.64 (3.64) proj_loss: -0.5774 (-0.5774) time: 0.3630 data: 0.0003 [11-23 08:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.869 (6.869) Lt: 6.180 (6.180) Accm: 2.25 (2.25) Acct: 3.62 (3.62) proj_loss: -0.5794 (-0.5794) time: 0.3630 data: 0.0003 [11-23 08:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.828 (6.828) Lt: 6.152 (6.152) Accm: 2.56 (2.56) Acct: 4.03 (4.03) proj_loss: -0.5726 (-0.5726) time: 0.3630 data: 0.0003 [11-23 08:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.766 (6.766) Lt: 6.097 (6.097) Accm: 2.87 (2.87) Acct: 4.50 (4.50) proj_loss: -0.5704 (-0.5704) time: 0.3631 data: 0.0003 [11-23 08:51:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.807 (6.791) Lt: 6.165 (6.120) Accm: 2.75 (2.77) Acct: 4.20 (4.33) proj_loss: -0.5746 (-0.5745) time: 0.3626 data: 0.0003 [11-23 08:51:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.888 (6.892) Lt: 6.214 (6.211) Accm: 2.30 (2.32) Acct: 3.60 (3.59) proj_loss: -0.5758 (-0.5689) time: 0.3626 data: 0.0003 [11-23 08:51:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.806 (6.848) Lt: 6.103 (6.152) Accm: 2.56 (2.41) Acct: 4.10 (3.82) proj_loss: -0.5806 (-0.5839) time: 0.3626 data: 0.0003 [11-23 08:51:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.849 (6.875) Lt: 6.152 (6.185) Accm: 2.45 (2.44) Acct: 3.91 (3.82) proj_loss: -0.5637 (-0.5632) time: 0.3626 data: 0.0003 [11-23 08:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.897 (6.892) Lt: 6.201 (6.215) Accm: 2.45 (2.44) Acct: 3.90 (3.84) proj_loss: -0.5706 (-0.5668) time: 0.3621 data: 0.0003 [11-23 08:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.871 (6.856) Lt: 6.192 (6.174) Accm: 2.33 (2.40) Acct: 3.64 (3.74) proj_loss: -0.5711 (-0.5683) time: 0.3621 data: 0.0003 [11-23 08:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.808 (6.838) Lt: 6.129 (6.153) Accm: 2.47 (2.40) Acct: 3.78 (3.73) proj_loss: -0.5794 (-0.5819) time: 0.3621 data: 0.0003 [11-23 08:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.823 (6.828) Lt: 6.166 (6.150) Accm: 2.66 (2.67) Acct: 4.10 (4.17) proj_loss: -0.5704 (-0.5720) time: 0.3621 data: 0.0003 [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.840 (6.835) Lt: 6.167 (6.161) Accm: 2.75 (2.71) Acct: 4.10 (4.16) proj_loss: -0.5686 (-0.5713) time: 0.3642 data: 0.0016 [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.855 (6.851) Lt: 6.170 (6.167) Accm: 2.37 (2.42) Acct: 3.60 (3.69) proj_loss: -0.5664 (-0.5667) time: 0.3642 data: 0.0020 [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.809 (6.837) Lt: 6.103 (6.134) Accm: 2.56 (2.44) Acct: 4.10 (3.81) proj_loss: -0.5782 (-0.5787) time: 0.3642 data: 0.0015 [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.849 (6.872) Lt: 6.152 (6.195) Accm: 2.45 (2.49) Acct: 3.91 (3.97) proj_loss: -0.5748 (-0.5684) time: 0.3642 data: 0.0021 [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:56:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:07 (0.364 s / it) [11-23 08:56:29] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.820 (6.826), Lt: 6.133 (6.137), Acc m&t: 2.57 4.03, Remain: 1 day, 18:21:44, Finish: 2024-11-24 11:18 [11-23 08:56:29] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.820 (6.826), Lt: 6.133 (6.137), Acc m&t: 2.57 4.03, Remain: 1 day, 18:21:22, Finish: 2024-11-24 11:17 [11-23 08:56:29] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.820 (6.826), Lt: 6.133 (6.137), Acc m&t: 2.57 4.03, Remain: 1 day, 18:22:00, Finish: 2024-11-24 11:18 [11-23 08:56:29] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.820 (6.826), Lt: 6.133 (6.137), Acc m&t: 2.57 4.03, Remain: 1 day, 18:22:52, Finish: 2024-11-24 11:19 [11-23 08:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:11:02 tlr: 0.00018 tnm: 0.36 Lm: 6.851 (6.851) Lt: 6.123 (6.123) Accm: 2.28 (2.28) Acct: 3.60 (3.60) proj_loss: -0.5640 (-0.5640) time: 0.3972 data: 0.0004 [11-23 08:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.36 Lm: 6.754 (6.754) Lt: 6.093 (6.093) Accm: 2.63 (2.63) Acct: 4.03 (4.03) proj_loss: -0.5639 (-0.5639) time: 0.3677 data: 0.0004 [11-23 08:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.36 Lm: 6.917 (6.917) Lt: 6.224 (6.224) Accm: 2.64 (2.64) Acct: 4.05 (4.05) proj_loss: -0.5738 (-0.5738) time: 0.3680 data: 0.0005 [11-23 08:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:10:05 tlr: 0.00018 tnm: 0.36 Lm: 6.904 (6.904) Lt: 6.282 (6.282) Accm: 2.34 (2.34) Acct: 3.68 (3.68) proj_loss: -0.5864 (-0.5864) time: 0.3625 data: 0.0004 [11-23 08:59:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.896 (6.896) Lt: 6.248 (6.248) Accm: 2.32 (2.32) Acct: 3.62 (3.62) proj_loss: -0.5802 (-0.5802) time: 0.3636 data: 0.0003 [11-23 08:59:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.846 (6.846) Lt: 6.180 (6.180) Accm: 2.48 (2.48) Acct: 3.75 (3.75) proj_loss: -0.5746 (-0.5746) time: 0.3636 data: 0.0003 [11-23 08:59:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.790 (6.790) Lt: 6.050 (6.050) Accm: 2.44 (2.44) Acct: 3.87 (3.87) proj_loss: -0.5698 (-0.5698) time: 0.3636 data: 0.0003 [11-23 08:59:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.882 (6.882) Lt: 6.173 (6.173) Accm: 2.48 (2.48) Acct: 3.87 (3.87) proj_loss: -0.5647 (-0.5647) time: 0.3637 data: 0.0003 [11-23 09:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.33 Lm: 6.917 (6.896) Lt: 6.219 (6.188) Accm: 2.37 (2.45) Acct: 3.70 (3.79) proj_loss: -0.5738 (-0.5757) time: 0.3640 data: 0.0003 [11-23 09:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.33 Lm: 6.813 (6.835) Lt: 6.096 (6.152) Accm: 2.59 (2.52) Acct: 4.03 (3.90) proj_loss: -0.5685 (-0.5726) time: 0.3640 data: 0.0003 [11-23 09:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.33 Lm: 6.887 (6.855) Lt: 6.214 (6.202) Accm: 2.34 (2.43) Acct: 3.68 (3.88) proj_loss: -0.5740 (-0.5720) time: 0.3640 data: 0.0003 [11-23 09:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.33 Lm: 6.851 (6.906) Lt: 6.123 (6.212) Accm: 2.28 (2.22) Acct: 3.60 (3.50) proj_loss: -0.5756 (-0.5736) time: 0.3640 data: 0.0003 [11-23 09:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.795 (6.864) Lt: 6.084 (6.171) Accm: 2.44 (2.35) Acct: 3.87 (3.70) proj_loss: -0.5783 (-0.5754) time: 0.3620 data: 0.0003 [11-23 09:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.823 (6.834) Lt: 6.113 (6.146) Accm: 2.51 (2.49) Acct: 3.97 (3.90) proj_loss: -0.5769 (-0.5765) time: 0.3620 data: 0.0003 [11-23 09:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.896 (6.890) Lt: 6.210 (6.192) Accm: 2.48 (2.48) Acct: 3.87 (3.86) proj_loss: -0.5712 (-0.5739) time: 0.3620 data: 0.0002 [11-23 09:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.842 (6.840) Lt: 6.162 (6.174) Accm: 2.44 (2.46) Acct: 3.77 (3.87) proj_loss: -0.5648 (-0.5670) time: 0.3620 data: 0.0002 [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.887 (6.876) Lt: 6.214 (6.210) Accm: 2.34 (2.36) Acct: 3.68 (3.71) proj_loss: -0.5740 (-0.5706) time: 0.3649 data: 0.0019 [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.813 (6.821) Lt: 6.096 (6.126) Accm: 2.59 (2.56) Acct: 4.03 (4.00) proj_loss: -0.5706 (-0.5753) time: 0.3649 data: 0.0017 [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.851 (6.874) Lt: 6.123 (6.187) Accm: 2.48 (2.37) Acct: 3.87 (3.74) proj_loss: -0.5797 (-0.5763) time: 0.3649 data: 0.0017 [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.874 (6.854) Lt: 6.201 (6.158) Accm: 2.59 (2.53) Acct: 4.05 (3.97) proj_loss: -0.5738 (-0.5739) time: 0.3649 data: 0.0019 [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:06:35] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.820 (6.822), Lt: 6.133 (6.139), Acc m&t: 2.57 4.03, Remain: 1 day, 18:03:45, Finish: 2024-11-24 11:10 [11-23 09:06:35] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.820 (6.822), Lt: 6.133 (6.139), Acc m&t: 2.57 4.03, Remain: 1 day, 18:03:54, Finish: 2024-11-24 11:10 [11-23 09:06:35] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.820 (6.822), Lt: 6.133 (6.139), Acc m&t: 2.57 4.03, Remain: 1 day, 18:03:31, Finish: 2024-11-24 11:10 [11-23 09:06:35] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.820 (6.822), Lt: 6.133 (6.139), Acc m&t: 2.57 4.03, Remain: 1 day, 18:03:39, Finish: 2024-11-24 11:10 [11-23 09:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:10:19 tlr: 0.00018 tnm: 0.40 Lm: 7.046 (7.046) Lt: 6.423 (6.423) Accm: 2.05 (2.05) Acct: 2.94 (2.94) proj_loss: -0.5693 (-0.5693) time: 0.3710 data: 0.0005 [11-23 09:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:10:19 tlr: 0.00018 tnm: 0.40 Lm: 6.634 (6.634) Lt: 5.922 (5.922) Accm: 2.94 (2.94) Acct: 4.60 (4.60) proj_loss: -0.5764 (-0.5764) time: 0.3714 data: 0.0004 [11-23 09:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:10:20 tlr: 0.00018 tnm: 0.40 Lm: 7.020 (7.020) Lt: 6.393 (6.393) Accm: 2.13 (2.13) Acct: 3.31 (3.31) proj_loss: -0.5886 (-0.5886) time: 0.3715 data: 0.0004 [11-23 09:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:10:11 tlr: 0.00018 tnm: 0.40 Lm: 6.880 (6.880) Lt: 6.197 (6.197) Accm: 2.32 (2.32) Acct: 3.60 (3.60) proj_loss: -0.5700 (-0.5700) time: 0.3661 data: 0.0004 [11-23 09:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.38 Lm: 6.884 (6.884) Lt: 6.180 (6.180) Accm: 2.25 (2.25) Acct: 3.56 (3.56) proj_loss: -0.5593 (-0.5593) time: 0.4073 data: 0.0003 [11-23 09:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.38 Lm: 6.878 (6.878) Lt: 6.195 (6.195) Accm: 2.44 (2.44) Acct: 3.84 (3.84) proj_loss: -0.5847 (-0.5847) time: 0.4073 data: 0.0003 [11-23 09:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.38 Lm: 6.911 (6.911) Lt: 6.272 (6.272) Accm: 2.30 (2.30) Acct: 3.41 (3.41) proj_loss: -0.5685 (-0.5685) time: 0.4073 data: 0.0003 [11-23 09:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:54 tlr: 0.00018 tnm: 0.38 Lm: 6.753 (6.753) Lt: 6.034 (6.034) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: -0.5767 (-0.5767) time: 0.4073 data: 0.0003 [11-23 09:12:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:24 tlr: 0.00018 tnm: 0.37 Lm: 6.820 (6.776) Lt: 6.146 (6.076) Accm: 2.54 (2.62) Acct: 4.05 (4.18) proj_loss: -0.5764 (-0.5749) time: 0.3671 data: 0.0002 [11-23 09:12:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:24 tlr: 0.00018 tnm: 0.37 Lm: 6.777 (6.843) Lt: 6.122 (6.188) Accm: 2.56 (2.61) Acct: 3.87 (3.90) proj_loss: -0.5678 (-0.5600) time: 0.3671 data: 0.0003 [11-23 09:12:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:24 tlr: 0.00018 tnm: 0.37 Lm: 7.010 (6.922) Lt: 6.373 (6.254) Accm: 2.13 (2.25) Acct: 3.31 (3.50) proj_loss: -0.5808 (-0.5771) time: 0.3671 data: 0.0003 [11-23 09:12:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:24 tlr: 0.00018 tnm: 0.37 Lm: 6.880 (6.828) Lt: 6.162 (6.131) Accm: 2.32 (2.52) Acct: 3.60 (3.98) proj_loss: -0.5700 (-0.5689) time: 0.3671 data: 0.0003 [11-23 09:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.34 Lm: 6.825 (6.814) Lt: 6.098 (6.106) Accm: 2.48 (2.55) Acct: 3.98 (4.08) proj_loss: -0.5791 (-0.5737) time: 0.3623 data: 0.0003 [11-23 09:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.34 Lm: 6.790 (6.833) Lt: 6.123 (6.172) Accm: 2.49 (2.56) Acct: 3.87 (3.89) proj_loss: -0.5685 (-0.5651) time: 0.3623 data: 0.0002 [11-23 09:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.34 Lm: 6.785 (6.769) Lt: 6.122 (6.081) Accm: 2.59 (2.62) Acct: 4.05 (4.15) proj_loss: -0.5737 (-0.5691) time: 0.3623 data: 0.0002 [11-23 09:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.34 Lm: 6.949 (6.913) Lt: 6.283 (6.239) Accm: 2.20 (2.25) Acct: 3.43 (3.52) proj_loss: -0.5795 (-0.5774) time: 0.3623 data: 0.0003 [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.888 (6.903) Lt: 6.193 (6.228) Accm: 2.27 (2.33) Acct: 3.56 (3.63) proj_loss: -0.5795 (-0.5778) time: 0.3659 data: 0.0020 [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:30 (0.378 s / it) [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.798 (6.826) Lt: 6.125 (6.164) Accm: 2.56 (2.57) Acct: 3.87 (3.93) proj_loss: -0.5693 (-0.5701) time: 0.3659 data: 0.0021 [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.873 (6.826) Lt: 6.162 (6.128) Accm: 2.35 (2.51) Acct: 3.70 (4.00) proj_loss: -0.5700 (-0.5694) time: 0.3658 data: 0.0015 [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.820 (6.803) Lt: 6.146 (6.119) Accm: 2.54 (2.55) Acct: 4.05 (4.00) proj_loss: -0.5764 (-0.5750) time: 0.3659 data: 0.0019 [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:30 (0.378 s / it) [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:30 (0.378 s / it) [11-23 09:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:30 (0.378 s / it) [11-23 09:17:05] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.820 (6.822), Lt: 6.132 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 18:09:33, Finish: 2024-11-24 11:26 [11-23 09:17:05] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.820 (6.822), Lt: 6.132 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 18:09:58, Finish: 2024-11-24 11:27 [11-23 09:17:05] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.820 (6.822), Lt: 6.132 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 18:10:46, Finish: 2024-11-24 11:27 [11-23 09:17:05] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.820 (6.822), Lt: 6.132 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 18:09:03, Finish: 2024-11-24 11:26 [11-23 09:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:45 tlr: 0.00018 tnm: 0.34 Lm: 6.865 (6.865) Lt: 6.164 (6.164) Accm: 2.38 (2.38) Acct: 3.58 (3.58) proj_loss: -0.5618 (-0.5618) time: 0.3506 data: 0.0003 [11-23 09:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:52 tlr: 0.00018 tnm: 0.34 Lm: 6.778 (6.778) Lt: 6.095 (6.095) Accm: 2.79 (2.79) Acct: 4.32 (4.32) proj_loss: -0.5681 (-0.5681) time: 0.3552 data: 0.0004 [11-23 09:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:53 tlr: 0.00018 tnm: 0.34 Lm: 6.845 (6.845) Lt: 6.139 (6.139) Accm: 2.46 (2.46) Acct: 4.01 (4.01) proj_loss: -0.5527 (-0.5527) time: 0.3557 data: 0.0004 [11-23 09:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:46 tlr: 0.00018 tnm: 0.34 Lm: 6.770 (6.770) Lt: 6.017 (6.017) Accm: 2.62 (2.62) Acct: 4.17 (4.17) proj_loss: -0.5643 (-0.5643) time: 0.3513 data: 0.0004 [11-23 09:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.755 (6.755) Lt: 6.038 (6.038) Accm: 2.78 (2.78) Acct: 4.34 (4.34) proj_loss: -0.5693 (-0.5693) time: 0.3643 data: 0.0003 [11-23 09:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.771 (6.771) Lt: 6.077 (6.077) Accm: 2.76 (2.76) Acct: 4.40 (4.40) proj_loss: -0.5764 (-0.5764) time: 0.3644 data: 0.0003 [11-23 09:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.768 (6.768) Lt: 6.054 (6.054) Accm: 2.56 (2.56) Acct: 3.99 (3.99) proj_loss: -0.5595 (-0.5595) time: 0.3643 data: 0.0003 [11-23 09:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.35 Lm: 6.810 (6.810) Lt: 6.127 (6.127) Accm: 2.46 (2.46) Acct: 4.05 (4.05) proj_loss: -0.5677 (-0.5677) time: 0.3643 data: 0.0003 [11-23 09:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.845 (6.822) Lt: 6.139 (6.148) Accm: 2.46 (2.43) Acct: 4.01 (4.00) proj_loss: -0.5564 (-0.5639) time: 0.3619 data: 0.0003 [11-23 09:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.764 (6.721) Lt: 6.058 (6.023) Accm: 2.79 (2.79) Acct: 4.32 (4.30) proj_loss: -0.5786 (-0.5771) time: 0.3619 data: 0.0002 [11-23 09:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.770 (6.804) Lt: 6.058 (6.104) Accm: 2.62 (2.68) Acct: 4.17 (4.15) proj_loss: -0.5744 (-0.5747) time: 0.3619 data: 0.0003 [11-23 09:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.809 (6.782) Lt: 6.147 (6.085) Accm: 2.51 (2.54) Acct: 3.81 (3.93) proj_loss: -0.5618 (-0.5642) time: 0.3619 data: 0.0003 [11-23 09:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.837 (6.803) Lt: 6.156 (6.108) Accm: 2.49 (2.53) Acct: 3.83 (3.91) proj_loss: -0.5677 (-0.5685) time: 0.3627 data: 0.0002 [11-23 09:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.769 (6.734) Lt: 6.061 (6.034) Accm: 2.82 (2.83) Acct: 4.40 (4.40) proj_loss: -0.5734 (-0.5747) time: 0.3627 data: 0.0002 [11-23 09:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.796 (6.808) Lt: 6.085 (6.107) Accm: 2.61 (2.66) Acct: 4.13 (4.14) proj_loss: -0.5800 (-0.5791) time: 0.3627 data: 0.0002 [11-23 09:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.810 (6.797) Lt: 6.127 (6.120) Accm: 2.46 (2.53) Acct: 4.05 (4.09) proj_loss: -0.5642 (-0.5659) time: 0.3627 data: 0.0002 [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.775 (6.793) Lt: 6.115 (6.119) Accm: 2.46 (2.57) Acct: 4.08 (4.15) proj_loss: -0.5720 (-0.5703) time: 0.3643 data: 0.0022 [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:06 (0.364 s / it) [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.774 (6.752) Lt: 6.064 (6.051) Accm: 2.79 (2.75) Acct: 4.32 (4.29) proj_loss: -0.5786 (-0.5801) time: 0.3642 data: 0.0016 [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.809 (6.788) Lt: 6.147 (6.091) Accm: 2.51 (2.59) Acct: 3.86 (4.05) proj_loss: -0.5736 (-0.5710) time: 0.3642 data: 0.0018 [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.821 (6.819) Lt: 6.113 (6.123) Accm: 2.62 (2.66) Acct: 4.17 (4.15) proj_loss: -0.5744 (-0.5750) time: 0.3643 data: 0.0016 [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:06 (0.364 s / it) [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:06 (0.364 s / it) [11-23 09:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:06 (0.364 s / it) [11-23 09:27:12] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.817 (6.817), Lt: 6.129 (6.129), Acc m&t: 2.59 4.05, Remain: 1 day, 17:47:25, Finish: 2024-11-24 11:14 [11-23 09:27:12] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.817 (6.817), Lt: 6.129 (6.129), Acc m&t: 2.59 4.05, Remain: 1 day, 17:46:33, Finish: 2024-11-24 11:13 [11-23 09:27:12] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.817 (6.817), Lt: 6.129 (6.129), Acc m&t: 2.59 4.05, Remain: 1 day, 17:47:01, Finish: 2024-11-24 11:14 [11-23 09:27:12] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.817 (6.817), Lt: 6.129 (6.129), Acc m&t: 2.59 4.05, Remain: 1 day, 17:47:46, Finish: 2024-11-24 11:14 [11-23 09:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:09:45 tlr: 0.00018 tnm: 0.37 Lm: 6.662 (6.662) Lt: 5.975 (5.975) Accm: 3.16 (3.16) Acct: 4.79 (4.79) proj_loss: -0.5778 (-0.5778) time: 0.3509 data: 0.0003 [11-23 09:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:09:45 tlr: 0.00018 tnm: 0.37 Lm: 6.621 (6.621) Lt: 5.927 (5.927) Accm: 3.15 (3.15) Acct: 4.75 (4.75) proj_loss: -0.5654 (-0.5654) time: 0.3508 data: 0.0004 [11-23 09:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:09:44 tlr: 0.00018 tnm: 0.37 Lm: 6.812 (6.812) Lt: 6.096 (6.096) Accm: 2.62 (2.62) Acct: 4.42 (4.42) proj_loss: -0.5615 (-0.5615) time: 0.3500 data: 0.0004 [11-23 09:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:09:53 tlr: 0.00018 tnm: 0.37 Lm: 6.873 (6.873) Lt: 6.225 (6.225) Accm: 2.27 (2.27) Acct: 3.60 (3.60) proj_loss: -0.5615 (-0.5615) time: 0.3554 data: 0.0004 [11-23 09:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.809 (6.809) Lt: 6.139 (6.139) Accm: 2.59 (2.59) Acct: 4.08 (4.08) proj_loss: -0.5819 (-0.5819) time: 0.3612 data: 0.0003 [11-23 09:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.794 (6.794) Lt: 6.135 (6.135) Accm: 2.71 (2.71) Acct: 4.12 (4.12) proj_loss: -0.5742 (-0.5742) time: 0.3612 data: 0.0003 [11-23 09:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.796 (6.796) Lt: 6.059 (6.059) Accm: 2.62 (2.62) Acct: 4.24 (4.24) proj_loss: -0.5633 (-0.5633) time: 0.3612 data: 0.0003 [11-23 09:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.680 (6.680) Lt: 5.987 (5.987) Accm: 2.95 (2.95) Acct: 4.46 (4.46) proj_loss: -0.5645 (-0.5645) time: 0.3612 data: 0.0003 [11-23 09:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.35 Lm: 6.738 (6.740) Lt: 6.047 (6.064) Accm: 2.75 (2.84) Acct: 4.17 (4.36) proj_loss: -0.5654 (-0.5720) time: 0.3604 data: 0.0003 [11-23 09:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.35 Lm: 6.744 (6.779) Lt: 6.053 (6.108) Accm: 2.91 (2.73) Acct: 4.56 (4.32) proj_loss: -0.5847 (-0.5828) time: 0.3604 data: 0.0002 [11-23 09:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.35 Lm: 6.793 (6.794) Lt: 6.090 (6.120) Accm: 2.59 (2.67) Acct: 3.79 (4.01) proj_loss: -0.5778 (-0.5788) time: 0.3604 data: 0.0002 [11-23 09:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.35 Lm: 6.812 (6.815) Lt: 6.096 (6.110) Accm: 2.62 (2.56) Acct: 4.05 (4.09) proj_loss: -0.5615 (-0.5610) time: 0.3604 data: 0.0003 [11-23 09:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.809 (6.813) Lt: 6.094 (6.106) Accm: 2.54 (2.54) Acct: 3.92 (4.01) proj_loss: -0.5633 (-0.5673) time: 0.3606 data: 0.0003 [11-23 09:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.859 (6.831) Lt: 6.169 (6.152) Accm: 2.43 (2.57) Acct: 3.77 (3.94) proj_loss: -0.5742 (-0.5749) time: 0.3606 data: 0.0003 [11-23 09:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.743 (6.742) Lt: 6.025 (6.049) Accm: 2.71 (2.80) Acct: 4.26 (4.36) proj_loss: -0.5653 (-0.5703) time: 0.3606 data: 0.0003 [11-23 09:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.800 (6.798) Lt: 6.130 (6.133) Accm: 2.78 (2.71) Acct: 4.46 (4.33) proj_loss: -0.5900 (-0.5860) time: 0.3606 data: 0.0003 [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.855 (6.814) Lt: 6.207 (6.151) Accm: 2.64 (2.64) Acct: 4.36 (4.17) proj_loss: -0.5847 (-0.5818) time: 0.3664 data: 0.0016 [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.812 (6.832) Lt: 6.096 (6.134) Accm: 2.46 (2.48) Acct: 3.79 (3.87) proj_loss: -0.5651 (-0.5737) time: 0.3664 data: 0.0014 [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.926 (6.858) Lt: 6.249 (6.189) Accm: 2.28 (2.49) Acct: 3.75 (3.88) proj_loss: -0.5759 (-0.5751) time: 0.3664 data: 0.0017 [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.738 (6.740) Lt: 6.046 (6.048) Accm: 2.69 (2.78) Acct: 4.17 (4.26) proj_loss: -0.5654 (-0.5735) time: 0.3664 data: 0.0020 [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:37:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:05 (0.363 s / it) [11-23 09:37:18] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.138), Acc m&t: 2.59 4.05, Remain: 1 day, 17:42:31, Finish: 2024-11-24 11:19 [11-23 09:37:18] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.138), Acc m&t: 2.59 4.05, Remain: 1 day, 17:42:05, Finish: 2024-11-24 11:19 [11-23 09:37:18] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.138), Acc m&t: 2.59 4.05, Remain: 1 day, 17:41:10, Finish: 2024-11-24 11:18 [11-23 09:37:18] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.138), Acc m&t: 2.59 4.05, Remain: 1 day, 17:41:09, Finish: 2024-11-24 11:18 [11-23 09:37:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:49 tlr: 0.00018 tnm: 0.34 Lm: 6.756 (6.756) Lt: 6.047 (6.047) Accm: 2.81 (2.81) Acct: 4.68 (4.68) proj_loss: -0.5874 (-0.5874) time: 0.3532 data: 0.0004 [11-23 09:37:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:48 tlr: 0.00018 tnm: 0.34 Lm: 6.843 (6.843) Lt: 6.106 (6.106) Accm: 2.33 (2.33) Acct: 3.79 (3.79) proj_loss: -0.5560 (-0.5560) time: 0.3527 data: 0.0005 [11-23 09:37:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:51 tlr: 0.00018 tnm: 0.34 Lm: 6.823 (6.823) Lt: 6.104 (6.104) Accm: 2.81 (2.81) Acct: 4.46 (4.46) proj_loss: -0.5617 (-0.5617) time: 0.3543 data: 0.0004 [11-23 09:37:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:50 tlr: 0.00018 tnm: 0.34 Lm: 6.705 (6.705) Lt: 5.993 (5.993) Accm: 3.03 (3.03) Acct: 4.94 (4.94) proj_loss: -0.5844 (-0.5844) time: 0.3536 data: 0.0004 [11-23 09:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:08:04 tlr: 0.00018 tnm: 0.36 Lm: 6.845 (6.845) Lt: 6.151 (6.151) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5720 (-0.5720) time: 0.4088 data: 0.0003 [11-23 09:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:08:04 tlr: 0.00018 tnm: 0.36 Lm: 6.803 (6.803) Lt: 6.065 (6.065) Accm: 2.48 (2.48) Acct: 4.00 (4.00) proj_loss: -0.5565 (-0.5565) time: 0.4088 data: 0.0002 [11-23 09:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:08:04 tlr: 0.00018 tnm: 0.36 Lm: 6.856 (6.856) Lt: 6.130 (6.130) Accm: 2.59 (2.59) Acct: 4.14 (4.14) proj_loss: -0.5699 (-0.5699) time: 0.4088 data: 0.0002 [11-23 09:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:08:04 tlr: 0.00018 tnm: 0.36 Lm: 6.722 (6.722) Lt: 6.030 (6.030) Accm: 2.89 (2.89) Acct: 4.53 (4.53) proj_loss: -0.5846 (-0.5846) time: 0.4088 data: 0.0003 [11-23 09:42:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.34 Lm: 6.735 (6.726) Lt: 6.029 (6.029) Accm: 2.81 (2.84) Acct: 4.37 (4.47) proj_loss: -0.5819 (-0.5780) time: 0.3655 data: 0.0003 [11-23 09:42:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.34 Lm: 6.840 (6.815) Lt: 6.106 (6.099) Accm: 2.61 (2.52) Acct: 3.96 (3.99) proj_loss: -0.5570 (-0.5617) time: 0.3655 data: 0.0003 [11-23 09:42:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.34 Lm: 6.823 (6.797) Lt: 6.104 (6.067) Accm: 2.81 (2.68) Acct: 4.46 (4.26) proj_loss: -0.5781 (-0.5782) time: 0.3655 data: 0.0003 [11-23 09:42:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.34 Lm: 6.861 (6.851) Lt: 6.140 (6.147) Accm: 2.56 (2.58) Acct: 4.08 (4.14) proj_loss: -0.5729 (-0.5723) time: 0.3655 data: 0.0003 [11-23 09:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.36 Lm: 6.840 (6.843) Lt: 6.149 (6.150) Accm: 2.45 (2.52) Acct: 3.74 (3.94) proj_loss: -0.5678 (-0.5699) time: 0.3632 data: 0.0003 [11-23 09:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.36 Lm: 6.738 (6.730) Lt: 6.021 (6.022) Accm: 2.80 (2.83) Acct: 4.39 (4.46) proj_loss: -0.5753 (-0.5757) time: 0.3631 data: 0.0003 [11-23 09:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.36 Lm: 6.856 (6.853) Lt: 6.130 (6.138) Accm: 2.59 (2.54) Acct: 4.14 (3.99) proj_loss: -0.5699 (-0.5715) time: 0.3631 data: 0.0002 [11-23 09:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.36 Lm: 6.842 (6.822) Lt: 6.130 (6.112) Accm: 2.53 (2.50) Acct: 3.87 (3.93) proj_loss: -0.5646 (-0.5681) time: 0.3632 data: 0.0003 [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.824 (6.839) Lt: 6.154 (6.151) Accm: 2.56 (2.54) Acct: 4.03 (3.96) proj_loss: -0.5627 (-0.5677) time: 0.3652 data: 0.0021 [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.742 (6.743) Lt: 6.029 (6.027) Accm: 2.79 (2.79) Acct: 4.37 (4.42) proj_loss: -0.5819 (-0.5793) time: 0.3652 data: 0.0014 [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.840 (6.803) Lt: 6.106 (6.093) Accm: 2.54 (2.51) Acct: 3.96 (3.95) proj_loss: -0.5722 (-0.5717) time: 0.3652 data: 0.0017 [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:29 (0.377 s / it) [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.888 (6.861) Lt: 6.141 (6.139) Accm: 2.37 (2.51) Acct: 3.82 (3.95) proj_loss: -0.5617 (-0.5660) time: 0.3652 data: 0.0017 [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:29 (0.377 s / it) [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:29 (0.377 s / it) [11-23 09:47:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:29 (0.377 s / it) [11-23 09:47:49] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.817 (6.825), Lt: 6.129 (6.141), Acc m&t: 2.59 4.05, Remain: 1 day, 17:30:34, Finish: 2024-11-24 11:18 [11-23 09:47:49] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.817 (6.825), Lt: 6.129 (6.141), Acc m&t: 2.59 4.05, Remain: 1 day, 17:31:05, Finish: 2024-11-24 11:18 [11-23 09:47:49] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.817 (6.825), Lt: 6.129 (6.141), Acc m&t: 2.59 4.05, Remain: 1 day, 17:29:51, Finish: 2024-11-24 11:17 [11-23 09:47:49] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.817 (6.825), Lt: 6.129 (6.141), Acc m&t: 2.59 4.05, Remain: 1 day, 17:28:54, Finish: 2024-11-24 11:16 [11-23 09:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:09:36 tlr: 0.00018 tnm: 0.34 Lm: 6.821 (6.821) Lt: 6.094 (6.094) Accm: 2.72 (2.72) Acct: 4.36 (4.36) proj_loss: -0.5701 (-0.5701) time: 0.3456 data: 0.0003 [11-23 09:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:09:37 tlr: 0.00018 tnm: 0.34 Lm: 6.925 (6.925) Lt: 6.275 (6.275) Accm: 2.45 (2.45) Acct: 3.60 (3.60) proj_loss: -0.5716 (-0.5716) time: 0.3460 data: 0.0004 [11-23 09:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:09:37 tlr: 0.00018 tnm: 0.34 Lm: 6.738 (6.738) Lt: 6.036 (6.036) Accm: 2.86 (2.86) Acct: 4.61 (4.61) proj_loss: -0.5863 (-0.5863) time: 0.3462 data: 0.0003 [11-23 09:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:09:38 tlr: 0.00018 tnm: 0.34 Lm: 6.891 (6.891) Lt: 6.249 (6.249) Accm: 2.36 (2.36) Acct: 3.77 (3.77) proj_loss: -0.5755 (-0.5755) time: 0.3468 data: 0.0004 [11-23 09:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.935 (6.935) Lt: 6.286 (6.286) Accm: 2.31 (2.31) Acct: 3.73 (3.73) proj_loss: -0.5790 (-0.5790) time: 0.3616 data: 0.0003 [11-23 09:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.863 (6.863) Lt: 6.212 (6.212) Accm: 2.49 (2.49) Acct: 3.82 (3.82) proj_loss: -0.5732 (-0.5732) time: 0.3616 data: 0.0003 [11-23 09:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.787 (6.787) Lt: 6.054 (6.054) Accm: 2.70 (2.70) Acct: 4.18 (4.18) proj_loss: -0.5727 (-0.5727) time: 0.3616 data: 0.0002 [11-23 09:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.34 Lm: 6.771 (6.771) Lt: 6.079 (6.079) Accm: 2.78 (2.78) Acct: 4.34 (4.34) proj_loss: -0.5814 (-0.5814) time: 0.3616 data: 0.0002 [11-23 09:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.738 (6.755) Lt: 6.036 (6.044) Accm: 2.86 (2.82) Acct: 4.39 (4.36) proj_loss: -0.5766 (-0.5771) time: 0.3667 data: 0.0003 [11-23 09:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.821 (6.835) Lt: 6.094 (6.123) Accm: 2.68 (2.52) Acct: 4.01 (3.91) proj_loss: -0.5731 (-0.5728) time: 0.3667 data: 0.0003 [11-23 09:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.864 (6.864) Lt: 6.206 (6.210) Accm: 2.45 (2.43) Acct: 3.82 (3.82) proj_loss: -0.5720 (-0.5728) time: 0.3667 data: 0.0002 [11-23 09:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.36 Lm: 6.891 (6.902) Lt: 6.249 (6.250) Accm: 2.36 (2.33) Acct: 3.68 (3.71) proj_loss: -0.5755 (-0.5770) time: 0.3667 data: 0.0003 [11-23 09:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.33 Lm: 6.864 (6.860) Lt: 6.214 (6.200) Accm: 2.36 (2.40) Acct: 3.73 (3.77) proj_loss: -0.5742 (-0.5740) time: 0.3643 data: 0.0003 [11-23 09:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.33 Lm: 6.833 (6.835) Lt: 6.178 (6.168) Accm: 2.49 (2.46) Acct: 3.93 (3.93) proj_loss: -0.5718 (-0.5719) time: 0.3643 data: 0.0003 [11-23 09:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.33 Lm: 6.771 (6.772) Lt: 6.079 (6.065) Accm: 2.84 (2.82) Acct: 4.33 (4.33) proj_loss: -0.5791 (-0.5782) time: 0.3643 data: 0.0003 [11-23 09:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.33 Lm: 6.829 (6.836) Lt: 6.113 (6.125) Accm: 2.55 (2.49) Acct: 3.92 (3.89) proj_loss: -0.5716 (-0.5700) time: 0.3643 data: 0.0002 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.821 (6.832) Lt: 6.116 (6.124) Accm: 2.53 (2.50) Acct: 3.96 (3.90) proj_loss: -0.5731 (-0.5761) time: 0.3648 data: 0.0015 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:06 (0.363 s / it) [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.805 (6.816) Lt: 6.121 (6.114) Accm: 2.82 (2.71) Acct: 4.27 (4.19) proj_loss: -0.5766 (-0.5776) time: 0.3647 data: 0.0016 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.837 (6.833) Lt: 6.178 (6.154) Accm: 2.36 (2.48) Acct: 3.77 (3.92) proj_loss: -0.5729 (-0.5685) time: 0.3648 data: 0.0016 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.864 (6.861) Lt: 6.206 (6.187) Accm: 2.45 (2.43) Acct: 3.82 (3.88) proj_loss: -0.5717 (-0.5719) time: 0.3648 data: 0.0021 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:06 (0.363 s / it) [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:06 (0.363 s / it) [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:06 (0.363 s / it) [11-23 09:57:56] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.135), Acc m&t: 2.59 4.05, Remain: 1 day, 17:18:05, Finish: 2024-11-24 11:16 [11-23 09:57:56] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.135), Acc m&t: 2.59 4.05, Remain: 1 day, 17:17:30, Finish: 2024-11-24 11:15 [11-23 09:57:56] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.135), Acc m&t: 2.59 4.05, Remain: 1 day, 17:17:58, Finish: 2024-11-24 11:15 [11-23 09:57:56] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.135), Acc m&t: 2.59 4.05, Remain: 1 day, 17:16:20, Finish: 2024-11-24 11:14 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:31 tlr: 0.00018 tnm: 0.37 Lm: 6.790 (6.790) Lt: 6.096 (6.096) Accm: 2.53 (2.53) Acct: 4.05 (4.05) proj_loss: -0.5823 (-0.5823) time: 0.3425 data: 0.0004 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:32 tlr: 0.00018 tnm: 0.37 Lm: 6.931 (6.931) Lt: 6.281 (6.281) Accm: 2.61 (2.61) Acct: 4.34 (4.34) proj_loss: -0.5805 (-0.5805) time: 0.3432 data: 0.0004 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:36 tlr: 0.00018 tnm: 0.37 Lm: 6.635 (6.635) Lt: 5.911 (5.911) Accm: 3.26 (3.26) Acct: 5.10 (5.10) proj_loss: -0.5666 (-0.5666) time: 0.3452 data: 0.0003 [11-23 09:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:33 tlr: 0.00018 tnm: 0.37 Lm: 6.761 (6.761) Lt: 6.091 (6.091) Accm: 2.72 (2.72) Acct: 3.96 (3.96) proj_loss: -0.5726 (-0.5726) time: 0.3435 data: 0.0004 [11-23 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.37 Lm: 6.799 (6.799) Lt: 6.129 (6.129) Accm: 2.66 (2.66) Acct: 4.04 (4.04) proj_loss: -0.5704 (-0.5704) time: 0.3658 data: 0.0002 [11-23 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.37 Lm: 6.800 (6.800) Lt: 6.095 (6.095) Accm: 2.55 (2.55) Acct: 4.13 (4.13) proj_loss: -0.5704 (-0.5704) time: 0.3658 data: 0.0003 [11-23 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.37 Lm: 6.855 (6.855) Lt: 6.188 (6.188) Accm: 2.68 (2.68) Acct: 4.13 (4.13) proj_loss: -0.5841 (-0.5841) time: 0.3658 data: 0.0003 [11-23 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.37 Lm: 6.746 (6.746) Lt: 6.047 (6.047) Accm: 2.95 (2.95) Acct: 4.61 (4.61) proj_loss: -0.5709 (-0.5709) time: 0.3658 data: 0.0003 [11-23 10:03:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.34 Lm: 6.857 (6.788) Lt: 6.183 (6.111) Accm: 2.64 (2.74) Acct: 4.13 (4.25) proj_loss: -0.5752 (-0.5760) time: 0.3618 data: 0.0003 [11-23 10:03:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.34 Lm: 6.810 (6.840) Lt: 6.096 (6.152) Accm: 2.57 (2.56) Acct: 4.12 (4.13) proj_loss: -0.5823 (-0.5776) time: 0.3618 data: 0.0003 [11-23 10:03:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.34 Lm: 6.931 (6.887) Lt: 6.281 (6.221) Accm: 2.61 (2.55) Acct: 3.93 (3.93) proj_loss: -0.5876 (-0.5858) time: 0.3618 data: 0.0002 [11-23 10:03:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.34 Lm: 6.761 (6.767) Lt: 6.091 (6.083) Accm: 2.72 (2.73) Acct: 4.12 (4.14) proj_loss: -0.5726 (-0.5769) time: 0.3618 data: 0.0003 [11-23 10:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:32 tlr: 0.00018 tnm: 0.35 Lm: 6.777 (6.773) Lt: 6.087 (6.083) Accm: 2.66 (2.68) Acct: 4.04 (4.09) proj_loss: -0.5812 (-0.5812) time: 0.3636 data: 0.0003 [11-23 10:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:32 tlr: 0.00018 tnm: 0.35 Lm: 6.824 (6.840) Lt: 6.107 (6.144) Accm: 2.55 (2.52) Acct: 4.08 (4.09) proj_loss: -0.5734 (-0.5744) time: 0.3636 data: 0.0003 [11-23 10:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:32 tlr: 0.00018 tnm: 0.35 Lm: 6.864 (6.809) Lt: 6.189 (6.132) Accm: 2.48 (2.60) Acct: 3.83 (4.03) proj_loss: -0.5709 (-0.5718) time: 0.3636 data: 0.0003 [11-23 10:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:32 tlr: 0.00018 tnm: 0.35 Lm: 6.941 (6.907) Lt: 6.283 (6.238) Accm: 2.48 (2.50) Acct: 3.87 (3.90) proj_loss: -0.5841 (-0.5831) time: 0.3636 data: 0.0003 [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.931 (6.889) Lt: 6.281 (6.217) Accm: 2.45 (2.49) Acct: 3.81 (3.86) proj_loss: -0.5805 (-0.5817) time: 0.3650 data: 0.0018 [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:08 (0.364 s / it) [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.871 (6.840) Lt: 6.195 (6.157) Accm: 2.35 (2.55) Acct: 3.87 (4.00) proj_loss: -0.5740 (-0.5723) time: 0.3650 data: 0.0015 [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.792 (6.801) Lt: 6.091 (6.102) Accm: 2.59 (2.57) Acct: 3.96 (3.99) proj_loss: -0.5780 (-0.5806) time: 0.3650 data: 0.0019 [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.810 (6.782) Lt: 6.096 (6.074) Accm: 2.57 (2.67) Acct: 4.12 (4.22) proj_loss: -0.5749 (-0.5745) time: 0.3650 data: 0.0024 [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:08 (0.364 s / it) [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:08 (0.364 s / it) [11-23 10:08:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:08 (0.364 s / it) [11-23 10:08:04] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.817 (6.826), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 17:01:33, Finish: 2024-11-24 11:09 [11-23 10:08:04] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.817 (6.826), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 17:01:36, Finish: 2024-11-24 11:09 [11-23 10:08:04] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.817 (6.826), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 17:02:23, Finish: 2024-11-24 11:10 [11-23 10:08:04] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.817 (6.826), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 17:02:08, Finish: 2024-11-24 11:10 [11-23 10:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:09:45 tlr: 0.00018 tnm: 0.37 Lm: 6.801 (6.801) Lt: 6.137 (6.137) Accm: 2.67 (2.67) Acct: 4.17 (4.17) proj_loss: -0.5706 (-0.5706) time: 0.3506 data: 0.0004 [11-23 10:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:09:45 tlr: 0.00018 tnm: 0.37 Lm: 6.890 (6.890) Lt: 6.156 (6.156) Accm: 2.17 (2.17) Acct: 3.56 (3.56) proj_loss: -0.5677 (-0.5677) time: 0.3506 data: 0.0004 [11-23 10:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:09:47 tlr: 0.00018 tnm: 0.37 Lm: 6.782 (6.782) Lt: 6.077 (6.077) Accm: 2.75 (2.75) Acct: 4.37 (4.37) proj_loss: -0.5670 (-0.5670) time: 0.3522 data: 0.0003 [11-23 10:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:09:44 tlr: 0.00018 tnm: 0.37 Lm: 6.930 (6.930) Lt: 6.210 (6.210) Accm: 2.40 (2.40) Acct: 3.79 (3.79) proj_loss: -0.5609 (-0.5609) time: 0.3503 data: 0.0003 [11-23 10:10:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:08:10 tlr: 0.00018 tnm: 0.37 Lm: 6.913 (6.913) Lt: 6.201 (6.201) Accm: 2.43 (2.43) Acct: 3.88 (3.88) proj_loss: -0.5723 (-0.5723) time: 0.4087 data: 0.0003 [11-23 10:10:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:08:10 tlr: 0.00018 tnm: 0.37 Lm: 6.825 (6.825) Lt: 6.154 (6.154) Accm: 2.46 (2.46) Acct: 3.85 (3.85) proj_loss: -0.5790 (-0.5790) time: 0.4087 data: 0.0003 [11-23 10:10:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:08:10 tlr: 0.00018 tnm: 0.37 Lm: 6.824 (6.824) Lt: 6.127 (6.127) Accm: 2.44 (2.44) Acct: 3.74 (3.74) proj_loss: -0.5682 (-0.5682) time: 0.4087 data: 0.0003 [11-23 10:10:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:08:10 tlr: 0.00018 tnm: 0.37 Lm: 6.782 (6.782) Lt: 6.088 (6.088) Accm: 2.69 (2.69) Acct: 4.33 (4.33) proj_loss: -0.5658 (-0.5658) time: 0.4087 data: 0.0003 [11-23 10:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:26 tlr: 0.00018 tnm: 0.36 Lm: 6.783 (6.853) Lt: 6.099 (6.180) Accm: 2.63 (2.47) Acct: 4.29 (3.93) proj_loss: -0.5647 (-0.5654) time: 0.4065 data: 0.0003 [11-23 10:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:26 tlr: 0.00018 tnm: 0.36 Lm: 6.763 (6.804) Lt: 6.097 (6.112) Accm: 2.71 (2.54) Acct: 3.93 (3.90) proj_loss: -0.5677 (-0.5647) time: 0.4065 data: 0.0003 [11-23 10:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:26 tlr: 0.00018 tnm: 0.36 Lm: 6.801 (6.812) Lt: 6.137 (6.135) Accm: 2.59 (2.50) Acct: 4.06 (3.92) proj_loss: -0.5706 (-0.5731) time: 0.4065 data: 0.0003 [11-23 10:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:26 tlr: 0.00018 tnm: 0.36 Lm: 6.895 (6.887) Lt: 6.193 (6.178) Accm: 2.45 (2.48) Acct: 3.98 (3.95) proj_loss: -0.5787 (-0.5744) time: 0.4065 data: 0.0003 [11-23 10:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.794 (6.794) Lt: 6.117 (6.120) Accm: 2.63 (2.60) Acct: 4.12 (4.08) proj_loss: -0.5790 (-0.5783) time: 0.3639 data: 0.0003 [11-23 10:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.900 (6.891) Lt: 6.201 (6.194) Accm: 2.43 (2.44) Acct: 3.88 (3.80) proj_loss: -0.5812 (-0.5806) time: 0.3639 data: 0.0003 [11-23 10:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.810 (6.817) Lt: 6.127 (6.131) Accm: 2.59 (2.52) Acct: 3.93 (3.91) proj_loss: -0.5682 (-0.5692) time: 0.3639 data: 0.0003 [11-23 10:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.866 (6.877) Lt: 6.174 (6.197) Accm: 2.58 (2.49) Acct: 4.24 (3.99) proj_loss: -0.5658 (-0.5689) time: 0.3639 data: 0.0003 [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.863 (6.874) Lt: 6.249 (6.211) Accm: 2.53 (2.46) Acct: 4.18 (3.92) proj_loss: -0.5670 (-0.5736) time: 0.3662 data: 0.0019 [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:29 (0.377 s / it) [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.895 (6.862) Lt: 6.193 (6.177) Accm: 2.45 (2.46) Acct: 3.98 (3.84) proj_loss: -0.5837 (-0.5841) time: 0.3662 data: 0.0016 [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.801 (6.803) Lt: 6.137 (6.127) Accm: 2.60 (2.60) Acct: 4.17 (4.10) proj_loss: -0.5706 (-0.5759) time: 0.3662 data: 0.0017 [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.857 (6.832) Lt: 6.156 (6.154) Accm: 2.46 (2.46) Acct: 3.93 (3.82) proj_loss: -0.5687 (-0.5720) time: 0.3662 data: 0.0014 [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:29 (0.377 s / it) [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:29 (0.377 s / it) [11-23 10:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:29 (0.377 s / it) [11-23 10:18:33] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.817 (6.818), Lt: 6.129 (6.130), Acc m&t: 2.59 4.05, Remain: 1 day, 17:12:00, Finish: 2024-11-24 11:30 [11-23 10:18:33] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.817 (6.818), Lt: 6.129 (6.130), Acc m&t: 2.59 4.05, Remain: 1 day, 17:12:29, Finish: 2024-11-24 11:31 [11-23 10:18:33] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.817 (6.818), Lt: 6.129 (6.130), Acc m&t: 2.59 4.05, Remain: 1 day, 17:13:05, Finish: 2024-11-24 11:31 [11-23 10:18:33] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.817 (6.818), Lt: 6.129 (6.130), Acc m&t: 2.59 4.05, Remain: 1 day, 17:13:45, Finish: 2024-11-24 11:32 [11-23 10:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:09:37 tlr: 0.00018 tnm: 0.35 Lm: 6.877 (6.877) Lt: 6.181 (6.181) Accm: 2.38 (2.38) Acct: 3.68 (3.68) proj_loss: -0.5630 (-0.5630) time: 0.3463 data: 0.0003 [11-23 10:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:09:30 tlr: 0.00018 tnm: 0.35 Lm: 6.847 (6.847) Lt: 6.149 (6.149) Accm: 2.56 (2.56) Acct: 3.91 (3.91) proj_loss: -0.5545 (-0.5545) time: 0.3420 data: 0.0004 [11-23 10:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:09:38 tlr: 0.00018 tnm: 0.35 Lm: 6.941 (6.941) Lt: 6.243 (6.243) Accm: 2.45 (2.45) Acct: 3.93 (3.93) proj_loss: -0.5695 (-0.5695) time: 0.3469 data: 0.0004 [11-23 10:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:09:39 tlr: 0.00018 tnm: 0.35 Lm: 6.750 (6.750) Lt: 6.095 (6.095) Accm: 2.62 (2.62) Acct: 3.94 (3.94) proj_loss: -0.5802 (-0.5802) time: 0.3470 data: 0.0003 [11-23 10:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.36 Lm: 6.750 (6.750) Lt: 6.061 (6.061) Accm: 2.71 (2.71) Acct: 4.15 (4.15) proj_loss: -0.5835 (-0.5835) time: 0.3635 data: 0.0003 [11-23 10:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.36 Lm: 6.841 (6.841) Lt: 6.119 (6.119) Accm: 2.48 (2.48) Acct: 3.89 (3.89) proj_loss: -0.5822 (-0.5822) time: 0.3635 data: 0.0003 [11-23 10:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.36 Lm: 6.881 (6.881) Lt: 6.190 (6.190) Accm: 2.52 (2.52) Acct: 4.13 (4.13) proj_loss: -0.5682 (-0.5682) time: 0.3635 data: 0.0003 [11-23 10:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:07:34 tlr: 0.00018 tnm: 0.36 Lm: 6.788 (6.788) Lt: 6.081 (6.081) Accm: 2.67 (2.67) Acct: 4.05 (4.05) proj_loss: -0.5676 (-0.5676) time: 0.3635 data: 0.0003 [11-23 10:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.805 (6.794) Lt: 6.092 (6.085) Accm: 2.64 (2.66) Acct: 3.96 (4.02) proj_loss: -0.5545 (-0.5616) time: 0.3628 data: 0.0003 [11-23 10:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.822 (6.850) Lt: 6.138 (6.147) Accm: 2.59 (2.56) Acct: 4.03 (4.10) proj_loss: -0.5695 (-0.5799) time: 0.3628 data: 0.0002 [11-23 10:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.750 (6.772) Lt: 6.095 (6.081) Accm: 2.62 (2.62) Acct: 3.94 (4.07) proj_loss: -0.5802 (-0.5771) time: 0.3628 data: 0.0003 [11-23 10:23:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.37 Lm: 6.823 (6.835) Lt: 6.143 (6.127) Accm: 2.58 (2.54) Acct: 3.94 (3.91) proj_loss: -0.5863 (-0.5836) time: 0.3628 data: 0.0003 [11-23 10:26:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.839 (6.840) Lt: 6.162 (6.147) Accm: 2.59 (2.55) Acct: 3.95 (3.92) proj_loss: -0.5836 (-0.5829) time: 0.3653 data: 0.0003 [11-23 10:26:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.750 (6.750) Lt: 6.061 (6.060) Accm: 2.71 (2.68) Acct: 4.10 (4.12) proj_loss: -0.5771 (-0.5763) time: 0.3652 data: 0.0003 [11-23 10:26:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.839 (6.852) Lt: 6.156 (6.154) Accm: 2.61 (2.58) Acct: 4.18 (4.16) proj_loss: -0.5682 (-0.5765) time: 0.3653 data: 0.0003 [11-23 10:26:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.809 (6.799) Lt: 6.087 (6.084) Accm: 2.60 (2.63) Acct: 4.00 (4.02) proj_loss: -0.5673 (-0.5662) time: 0.3653 data: 0.0003 [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.805 (6.797) Lt: 6.085 (6.084) Accm: 2.59 (2.62) Acct: 3.96 (3.99) proj_loss: -0.5801 (-0.5700) time: 0.3643 data: 0.0019 [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:06 (0.363 s / it) [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.823 (6.824) Lt: 6.143 (6.138) Accm: 2.60 (2.60) Acct: 3.96 (3.97) proj_loss: -0.5863 (-0.5836) time: 0.3644 data: 0.0017 [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.750 (6.772) Lt: 6.095 (6.074) Accm: 2.62 (2.64) Acct: 4.12 (4.12) proj_loss: -0.5740 (-0.5744) time: 0.3643 data: 0.0017 [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.822 (6.815) Lt: 6.138 (6.123) Accm: 2.64 (2.69) Acct: 4.34 (4.30) proj_loss: -0.5695 (-0.5802) time: 0.3643 data: 0.0019 [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:06 (0.363 s / it) [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:06 (0.363 s / it) [11-23 10:28:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:06 (0.363 s / it) [11-23 10:30:53] (home/user/VAR/trainer.py, line 114)=> FID: 4.880656575049784 [11-23 10:30:53] (/home/user/VAR/train.py , line 259)=> [*] [ep109] (val 50000) Lm: 6.8235, Lt: 6.1374, Acc m&t: 2.57 4.01, Val cost: 132.99s [11-23 10:30:53] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 10:31:10] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 16:43:02, Finish: 2024-11-24 11:11 [11-23 10:31:10] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 16:43:04, Finish: 2024-11-24 11:11 [11-23 10:31:10] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 16:43:45, Finish: 2024-11-24 11:12 [11-23 10:31:10] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.817 (6.824), Lt: 6.129 (6.137), Acc m&t: 2.59 4.05, Remain: 1 day, 16:43:10, Finish: 2024-11-24 11:11 [11-23 10:31:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:09:53 tlr: 0.00018 tnm: 0.34 Lm: 6.741 (6.741) Lt: 6.061 (6.061) Accm: 2.63 (2.63) Acct: 4.01 (4.01) proj_loss: -0.5721 (-0.5721) time: 0.3554 data: 0.0004 [11-23 10:31:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:09:54 tlr: 0.00018 tnm: 0.34 Lm: 6.892 (6.892) Lt: 6.243 (6.243) Accm: 2.47 (2.47) Acct: 3.82 (3.82) proj_loss: -0.5826 (-0.5826) time: 0.3559 data: 0.0004 [11-23 10:31:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:09:53 tlr: 0.00018 tnm: 0.34 Lm: 6.787 (6.787) Lt: 6.147 (6.147) Accm: 2.49 (2.49) Acct: 3.75 (3.75) proj_loss: -0.5948 (-0.5948) time: 0.3559 data: 0.0004 [11-23 10:31:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:09:54 tlr: 0.00018 tnm: 0.34 Lm: 6.863 (6.863) Lt: 6.177 (6.177) Accm: 2.19 (2.19) Acct: 3.44 (3.44) proj_loss: -0.5717 (-0.5717) time: 0.3563 data: 0.0004 [11-23 10:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:37 tlr: 0.00018 tnm: 0.34 Lm: 6.872 (6.872) Lt: 6.185 (6.185) Accm: 2.29 (2.29) Acct: 3.74 (3.74) proj_loss: -0.5609 (-0.5609) time: 0.3605 data: 0.0002 [11-23 10:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:37 tlr: 0.00018 tnm: 0.34 Lm: 6.816 (6.816) Lt: 6.150 (6.150) Accm: 2.42 (2.42) Acct: 3.66 (3.66) proj_loss: -0.5860 (-0.5860) time: 0.3605 data: 0.0003 [11-23 10:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:37 tlr: 0.00018 tnm: 0.34 Lm: 6.831 (6.831) Lt: 6.165 (6.165) Accm: 2.47 (2.47) Acct: 3.80 (3.80) proj_loss: -0.5712 (-0.5712) time: 0.3605 data: 0.0003 [11-23 10:33:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:37 tlr: 0.00018 tnm: 0.34 Lm: 6.946 (6.946) Lt: 6.266 (6.266) Accm: 2.35 (2.35) Acct: 3.65 (3.65) proj_loss: -0.5736 (-0.5736) time: 0.3605 data: 0.0003 [11-23 10:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.37 Lm: 6.918 (6.937) Lt: 6.243 (6.252) Accm: 2.23 (2.29) Acct: 3.50 (3.60) proj_loss: -0.5651 (-0.5708) time: 0.3631 data: 0.0003 [11-23 10:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.37 Lm: 6.741 (6.774) Lt: 6.061 (6.091) Accm: 2.63 (2.61) Acct: 4.01 (4.08) proj_loss: -0.5703 (-0.5651) time: 0.3631 data: 0.0003 [11-23 10:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.37 Lm: 6.787 (6.788) Lt: 6.147 (6.113) Accm: 2.49 (2.57) Acct: 3.75 (3.91) proj_loss: -0.5772 (-0.5795) time: 0.3631 data: 0.0003 [11-23 10:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:04 tlr: 0.00018 tnm: 0.37 Lm: 6.880 (6.913) Lt: 6.193 (6.239) Accm: 2.19 (2.24) Acct: 3.60 (3.69) proj_loss: -0.5717 (-0.5675) time: 0.3631 data: 0.0003 [11-23 10:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.37 Lm: 6.872 (6.891) Lt: 6.185 (6.211) Accm: 2.29 (2.35) Acct: 3.81 (3.92) proj_loss: -0.5746 (-0.5700) time: 0.3624 data: 0.0003 [11-23 10:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.37 Lm: 6.816 (6.802) Lt: 6.150 (6.132) Accm: 2.49 (2.55) Acct: 3.84 (3.91) proj_loss: -0.5770 (-0.5788) time: 0.3623 data: 0.0003 [11-23 10:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.37 Lm: 6.905 (6.898) Lt: 6.233 (6.205) Accm: 2.35 (2.45) Acct: 3.66 (3.81) proj_loss: -0.5739 (-0.5739) time: 0.3624 data: 0.0003 [11-23 10:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.37 Lm: 6.831 (6.834) Lt: 6.165 (6.159) Accm: 2.47 (2.48) Acct: 3.80 (3.84) proj_loss: -0.5712 (-0.5695) time: 0.3624 data: 0.0003 [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.741 (6.797) Lt: 6.061 (6.104) Accm: 2.63 (2.53) Acct: 4.01 (3.94) proj_loss: -0.5721 (-0.5705) time: 0.3682 data: 0.0020 [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:10 (0.366 s / it) [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.892 (6.849) Lt: 6.223 (6.157) Accm: 2.47 (2.51) Acct: 3.82 (3.86) proj_loss: -0.5826 (-0.5768) time: 0.3682 data: 0.0015 [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.880 (6.899) Lt: 6.193 (6.217) Accm: 2.29 (2.34) Acct: 3.60 (3.86) proj_loss: -0.5749 (-0.5710) time: 0.3682 data: 0.0019 [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.787 (6.786) Lt: 6.147 (6.107) Accm: 2.49 (2.62) Acct: 3.93 (4.03) proj_loss: -0.5769 (-0.5773) time: 0.3682 data: 0.0018 [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:10 (0.366 s / it) [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:10 (0.366 s / it) [11-23 10:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:10 (0.366 s / it) [11-23 10:41:20] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.817 (6.827), Lt: 6.129 (6.140), Acc m&t: 2.59 4.05, Remain: 1 day, 16:47:15, Finish: 2024-11-24 11:28 [11-23 10:41:20] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.817 (6.827), Lt: 6.129 (6.140), Acc m&t: 2.59 4.05, Remain: 1 day, 16:45:46, Finish: 2024-11-24 11:27 [11-23 10:41:20] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.817 (6.827), Lt: 6.129 (6.140), Acc m&t: 2.59 4.05, Remain: 1 day, 16:47:35, Finish: 2024-11-24 11:28 [11-23 10:41:20] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.817 (6.827), Lt: 6.129 (6.140), Acc m&t: 2.59 4.05, Remain: 1 day, 16:46:01, Finish: 2024-11-24 11:27 [11-23 10:41:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:09:26 tlr: 0.00018 tnm: 0.35 Lm: 6.849 (6.849) Lt: 6.180 (6.180) Accm: 2.53 (2.53) Acct: 3.75 (3.75) proj_loss: -0.5848 (-0.5848) time: 0.3394 data: 0.0004 [11-23 10:41:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:09:25 tlr: 0.00018 tnm: 0.35 Lm: 6.577 (6.577) Lt: 5.912 (5.912) Accm: 3.27 (3.27) Acct: 5.17 (5.17) proj_loss: -0.5805 (-0.5805) time: 0.3387 data: 0.0004 [11-23 10:41:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.35 Lm: 6.740 (6.740) Lt: 6.067 (6.067) Accm: 2.77 (2.77) Acct: 4.44 (4.44) proj_loss: -0.5685 (-0.5685) time: 0.3676 data: 0.0004 [11-23 10:41:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:09:42 tlr: 0.00018 tnm: 0.35 Lm: 6.869 (6.869) Lt: 6.191 (6.191) Accm: 2.40 (2.40) Acct: 3.55 (3.55) proj_loss: -0.5918 (-0.5918) time: 0.3488 data: 0.0004 [11-23 10:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:08:18 tlr: 0.00018 tnm: 0.37 Lm: 6.830 (6.830) Lt: 6.158 (6.158) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.5827 (-0.5827) time: 0.4107 data: 0.0003 [11-23 10:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:08:18 tlr: 0.00018 tnm: 0.37 Lm: 6.725 (6.725) Lt: 6.058 (6.058) Accm: 2.90 (2.90) Acct: 4.59 (4.59) proj_loss: -0.5838 (-0.5838) time: 0.4107 data: 0.0003 [11-23 10:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:08:18 tlr: 0.00018 tnm: 0.37 Lm: 6.851 (6.851) Lt: 6.156 (6.156) Accm: 2.60 (2.60) Acct: 4.02 (4.02) proj_loss: -0.5656 (-0.5656) time: 0.4107 data: 0.0002 [11-23 10:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:08:18 tlr: 0.00018 tnm: 0.37 Lm: 6.799 (6.799) Lt: 6.116 (6.116) Accm: 2.64 (2.64) Acct: 4.21 (4.21) proj_loss: -0.5646 (-0.5646) time: 0.4107 data: 0.0002 [11-23 10:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:23 tlr: 0.00018 tnm: 0.36 Lm: 6.852 (6.879) Lt: 6.180 (6.198) Accm: 2.53 (2.50) Acct: 3.75 (3.86) proj_loss: -0.5722 (-0.5678) time: 0.3643 data: 0.0003 [11-23 10:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:23 tlr: 0.00018 tnm: 0.36 Lm: 6.872 (6.820) Lt: 6.204 (6.174) Accm: 2.52 (2.56) Acct: 4.01 (4.05) proj_loss: -0.5872 (-0.5861) time: 0.3643 data: 0.0003 [11-23 10:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:23 tlr: 0.00018 tnm: 0.36 Lm: 6.751 (6.783) Lt: 6.118 (6.117) Accm: 2.77 (2.70) Acct: 4.44 (4.41) proj_loss: -0.5685 (-0.5804) time: 0.3643 data: 0.0003 [11-23 10:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:23 tlr: 0.00018 tnm: 0.36 Lm: 6.792 (6.812) Lt: 6.125 (6.139) Accm: 2.64 (2.62) Acct: 4.15 (4.04) proj_loss: -0.5918 (-0.5866) time: 0.3643 data: 0.0003 [11-23 10:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.36 Lm: 6.830 (6.843) Lt: 6.158 (6.172) Accm: 2.52 (2.51) Acct: 3.85 (3.87) proj_loss: -0.5827 (-0.5802) time: 0.3631 data: 0.0003 [11-23 10:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.36 Lm: 6.851 (6.846) Lt: 6.156 (6.152) Accm: 2.60 (2.56) Acct: 4.02 (3.99) proj_loss: -0.5730 (-0.5693) time: 0.3631 data: 0.0003 [11-23 10:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.36 Lm: 6.877 (6.835) Lt: 6.233 (6.196) Accm: 2.52 (2.55) Acct: 3.86 (3.96) proj_loss: -0.5838 (-0.5795) time: 0.3631 data: 0.0003 [11-23 10:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.36 Lm: 6.761 (6.780) Lt: 6.112 (6.114) Accm: 2.68 (2.68) Acct: 4.28 (4.34) proj_loss: -0.5717 (-0.5790) time: 0.3632 data: 0.0002 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.772 (6.801) Lt: 6.118 (6.131) Accm: 2.60 (2.65) Acct: 4.12 (4.27) proj_loss: -0.5685 (-0.5708) time: 0.3652 data: 0.0018 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:25 (0.375 s / it) [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.869 (6.858) Lt: 6.191 (6.189) Accm: 2.40 (2.48) Acct: 3.63 (3.82) proj_loss: -0.5880 (-0.5818) time: 0.3652 data: 0.0019 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.852 (6.849) Lt: 6.163 (6.154) Accm: 2.53 (2.54) Acct: 3.96 (3.99) proj_loss: -0.5737 (-0.5737) time: 0.3652 data: 0.0018 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.872 (6.808) Lt: 6.204 (6.163) Accm: 2.52 (2.59) Acct: 4.01 (3.99) proj_loss: -0.5839 (-0.5804) time: 0.3652 data: 0.0016 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:25 (0.375 s / it) [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:25 (0.375 s / it) [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:25 (0.375 s / it) [11-23 10:51:46] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 16:30:51, Finish: 2024-11-24 11:22 [11-23 10:51:46] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 16:30:56, Finish: 2024-11-24 11:22 [11-23 10:51:46] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 16:31:17, Finish: 2024-11-24 11:23 [11-23 10:51:46] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.817 (6.822), Lt: 6.129 (6.132), Acc m&t: 2.59 4.05, Remain: 1 day, 16:31:05, Finish: 2024-11-24 11:22 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:45 tlr: 0.00018 tnm: 0.37 Lm: 6.938 (6.938) Lt: 6.258 (6.258) Accm: 2.24 (2.24) Acct: 3.77 (3.77) proj_loss: -0.5640 (-0.5640) time: 0.3508 data: 0.0004 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:42 tlr: 0.00018 tnm: 0.37 Lm: 6.831 (6.831) Lt: 6.157 (6.157) Accm: 2.54 (2.54) Acct: 4.17 (4.17) proj_loss: -0.5847 (-0.5847) time: 0.3491 data: 0.0003 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:46 tlr: 0.00018 tnm: 0.37 Lm: 6.940 (6.940) Lt: 6.312 (6.312) Accm: 2.08 (2.08) Acct: 3.39 (3.39) proj_loss: -0.5914 (-0.5914) time: 0.3512 data: 0.0004 [11-23 10:51:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:46 tlr: 0.00018 tnm: 0.37 Lm: 6.783 (6.783) Lt: 6.078 (6.078) Accm: 2.71 (2.71) Acct: 4.41 (4.41) proj_loss: -0.5840 (-0.5840) time: 0.3512 data: 0.0004 [11-23 10:54:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:07:33 tlr: 0.00018 tnm: 0.36 Lm: 6.811 (6.811) Lt: 6.117 (6.117) Accm: 2.59 (2.59) Acct: 4.21 (4.21) proj_loss: -0.5798 (-0.5798) time: 0.3602 data: 0.0003 [11-23 10:54:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:07:33 tlr: 0.00018 tnm: 0.36 Lm: 6.861 (6.861) Lt: 6.155 (6.155) Accm: 2.45 (2.45) Acct: 3.98 (3.98) proj_loss: -0.5794 (-0.5794) time: 0.3602 data: 0.0003 [11-23 10:54:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:07:33 tlr: 0.00018 tnm: 0.36 Lm: 6.875 (6.875) Lt: 6.193 (6.193) Accm: 2.47 (2.47) Acct: 4.03 (4.03) proj_loss: -0.5654 (-0.5654) time: 0.3602 data: 0.0003 [11-23 10:54:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:07:33 tlr: 0.00018 tnm: 0.36 Lm: 6.941 (6.941) Lt: 6.292 (6.292) Accm: 2.12 (2.12) Acct: 3.43 (3.43) proj_loss: -0.5955 (-0.5955) time: 0.3602 data: 0.0003 [11-23 10:56:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.36 Lm: 6.940 (6.872) Lt: 6.271 (6.195) Accm: 2.16 (2.46) Acct: 3.48 (3.92) proj_loss: -0.5914 (-0.5876) time: 0.3627 data: 0.0003 [11-23 10:56:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.36 Lm: 6.831 (6.820) Lt: 6.154 (6.106) Accm: 2.54 (2.58) Acct: 4.17 (4.19) proj_loss: -0.5805 (-0.5797) time: 0.3628 data: 0.0003 [11-23 10:56:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.36 Lm: 6.783 (6.797) Lt: 6.079 (6.104) Accm: 2.71 (2.68) Acct: 4.18 (4.20) proj_loss: -0.5840 (-0.5832) time: 0.3627 data: 0.0003 [11-23 10:56:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.36 Lm: 6.838 (6.862) Lt: 6.173 (6.186) Accm: 2.50 (2.48) Acct: 3.77 (3.90) proj_loss: -0.5668 (-0.5738) time: 0.3627 data: 0.0003 [11-23 10:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.824 (6.833) Lt: 6.150 (6.132) Accm: 2.60 (2.57) Acct: 4.03 (4.10) proj_loss: -0.5725 (-0.5749) time: 0.3618 data: 0.0002 [11-23 10:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.822 (6.818) Lt: 6.099 (6.090) Accm: 2.48 (2.54) Acct: 4.04 (4.12) proj_loss: -0.5773 (-0.5732) time: 0.3618 data: 0.0003 [11-23 10:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.776 (6.771) Lt: 6.079 (6.090) Accm: 2.78 (2.75) Acct: 4.30 (4.29) proj_loss: -0.5870 (-0.5864) time: 0.3618 data: 0.0003 [11-23 10:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.35 Lm: 6.941 (6.919) Lt: 6.292 (6.259) Accm: 2.17 (2.39) Acct: 3.56 (3.85) proj_loss: -0.5843 (-0.5850) time: 0.3618 data: 0.0003 [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.811 (6.800) Lt: 6.128 (6.102) Accm: 2.70 (2.67) Acct: 4.29 (4.22) proj_loss: -0.5668 (-0.5730) time: 0.3625 data: 0.0016 [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.831 (6.828) Lt: 6.154 (6.107) Accm: 2.41 (2.51) Acct: 3.91 (4.04) proj_loss: -0.5805 (-0.5750) time: 0.3624 data: 0.0015 [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.940 (6.907) Lt: 6.271 (6.237) Accm: 2.18 (2.38) Acct: 3.58 (3.79) proj_loss: -0.5772 (-0.5788) time: 0.3625 data: 0.0022 [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.783 (6.792) Lt: 6.079 (6.113) Accm: 2.71 (2.68) Acct: 4.18 (4.19) proj_loss: -0.5840 (-0.5825) time: 0.3624 data: 0.0015 [11-23 11:01:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:01:51] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.05, Remain: 1 day, 16:12:18, Finish: 2024-11-24 11:14 [11-23 11:01:51] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.05, Remain: 1 day, 16:12:07, Finish: 2024-11-24 11:13 [11-23 11:01:51] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.05, Remain: 1 day, 16:11:41, Finish: 2024-11-24 11:13 [11-23 11:01:51] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.05, Remain: 1 day, 16:11:35, Finish: 2024-11-24 11:13 [11-23 11:01:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:33 tlr: 0.00018 tnm: 0.36 Lm: 6.791 (6.791) Lt: 6.162 (6.162) Accm: 2.65 (2.65) Acct: 4.24 (4.24) proj_loss: -0.5928 (-0.5928) time: 0.3434 data: 0.0003 [11-23 11:01:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:32 tlr: 0.00018 tnm: 0.36 Lm: 6.825 (6.825) Lt: 6.096 (6.096) Accm: 2.28 (2.28) Acct: 3.68 (3.68) proj_loss: -0.5632 (-0.5632) time: 0.3432 data: 0.0003 [11-23 11:01:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:33 tlr: 0.00018 tnm: 0.36 Lm: 6.680 (6.680) Lt: 5.985 (5.985) Accm: 3.15 (3.15) Acct: 4.75 (4.75) proj_loss: -0.5808 (-0.5808) time: 0.3438 data: 0.0004 [11-23 11:01:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:33 tlr: 0.00018 tnm: 0.36 Lm: 6.937 (6.937) Lt: 6.243 (6.243) Accm: 2.08 (2.08) Acct: 3.24 (3.24) proj_loss: -0.5692 (-0.5692) time: 0.3439 data: 0.0004 [11-23 11:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:38 tlr: 0.00018 tnm: 0.37 Lm: 6.848 (6.848) Lt: 6.145 (6.145) Accm: 2.38 (2.38) Acct: 3.70 (3.70) proj_loss: -0.5675 (-0.5675) time: 0.3637 data: 0.0003 [11-23 11:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:38 tlr: 0.00018 tnm: 0.37 Lm: 6.806 (6.806) Lt: 6.149 (6.149) Accm: 2.72 (2.72) Acct: 4.14 (4.14) proj_loss: -0.5777 (-0.5777) time: 0.3637 data: 0.0003 [11-23 11:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:38 tlr: 0.00018 tnm: 0.37 Lm: 6.820 (6.820) Lt: 6.085 (6.085) Accm: 2.53 (2.53) Acct: 4.09 (4.09) proj_loss: -0.5736 (-0.5736) time: 0.3637 data: 0.0003 [11-23 11:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:38 tlr: 0.00018 tnm: 0.37 Lm: 6.826 (6.826) Lt: 6.177 (6.177) Accm: 2.51 (2.51) Acct: 4.05 (4.05) proj_loss: -0.5823 (-0.5823) time: 0.3637 data: 0.0003 [11-23 11:06:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.36 Lm: 6.862 (6.862) Lt: 6.193 (6.218) Accm: 2.40 (2.47) Acct: 3.86 (3.94) proj_loss: -0.5763 (-0.5803) time: 0.3643 data: 0.0003 [11-23 11:06:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.36 Lm: 6.816 (6.811) Lt: 6.096 (6.108) Accm: 2.40 (2.49) Acct: 3.87 (4.02) proj_loss: -0.5778 (-0.5750) time: 0.3643 data: 0.0003 [11-23 11:06:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.36 Lm: 6.867 (6.855) Lt: 6.173 (6.154) Accm: 2.68 (2.49) Acct: 4.17 (3.89) proj_loss: -0.5692 (-0.5689) time: 0.3643 data: 0.0003 [11-23 11:06:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.36 Lm: 6.792 (6.802) Lt: 6.138 (6.145) Accm: 2.57 (2.67) Acct: 3.75 (4.01) proj_loss: -0.5808 (-0.5804) time: 0.3643 data: 0.0003 [11-23 11:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.37 Lm: 6.849 (6.828) Lt: 6.154 (6.152) Accm: 2.48 (2.60) Acct: 3.74 (3.94) proj_loss: -0.5777 (-0.5762) time: 0.3628 data: 0.0003 [11-23 11:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.37 Lm: 6.813 (6.811) Lt: 6.093 (6.103) Accm: 2.59 (2.58) Acct: 4.18 (4.18) proj_loss: -0.5767 (-0.5751) time: 0.3628 data: 0.0003 [11-23 11:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.37 Lm: 6.851 (6.857) Lt: 6.178 (6.204) Accm: 2.45 (2.48) Acct: 3.83 (3.90) proj_loss: -0.5814 (-0.5819) time: 0.3628 data: 0.0003 [11-23 11:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.37 Lm: 6.813 (6.818) Lt: 6.110 (6.115) Accm: 2.69 (2.56) Acct: 4.21 (4.02) proj_loss: -0.5704 (-0.5717) time: 0.3628 data: 0.0003 [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.759 (6.777) Lt: 6.046 (6.069) Accm: 2.70 (2.68) Acct: 4.25 (4.23) proj_loss: -0.5716 (-0.5742) time: 0.4092 data: 0.0024 [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:13 (0.367 s / it) [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.811 (6.809) Lt: 6.089 (6.099) Accm: 2.68 (2.60) Acct: 4.22 (4.19) proj_loss: -0.5778 (-0.5766) time: 0.4092 data: 0.0016 [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.792 (6.809) Lt: 6.138 (6.132) Accm: 2.57 (2.65) Acct: 3.75 (4.08) proj_loss: -0.5746 (-0.5752) time: 0.4092 data: 0.0019 [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.843 (6.854) Lt: 6.163 (6.193) Accm: 2.51 (2.51) Acct: 3.86 (3.91) proj_loss: -0.5763 (-0.5800) time: 0.4092 data: 0.0014 [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:13 (0.367 s / it) [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:13 (0.367 s / it) [11-23 11:12:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:13 (0.367 s / it) [11-23 11:12:04] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 1 day, 16:13:51, Finish: 2024-11-24 11:25 [11-23 11:12:04] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 1 day, 16:14:42, Finish: 2024-11-24 11:26 [11-23 11:12:04] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 1 day, 16:14:49, Finish: 2024-11-24 11:26 [11-23 11:12:04] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.814 (6.814), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 1 day, 16:15:10, Finish: 2024-11-24 11:27 [11-23 11:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:09:31 tlr: 0.00017 tnm: 0.37 Lm: 6.823 (6.823) Lt: 6.123 (6.123) Accm: 2.51 (2.51) Acct: 3.94 (3.94) proj_loss: -0.5650 (-0.5650) time: 0.3424 data: 0.0003 [11-23 11:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:09:33 tlr: 0.00017 tnm: 0.37 Lm: 6.855 (6.855) Lt: 6.164 (6.164) Accm: 2.38 (2.38) Acct: 3.65 (3.65) proj_loss: -0.5751 (-0.5751) time: 0.3438 data: 0.0004 [11-23 11:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:09:32 tlr: 0.00017 tnm: 0.37 Lm: 6.972 (6.972) Lt: 6.257 (6.257) Accm: 2.25 (2.25) Acct: 3.70 (3.70) proj_loss: -0.5490 (-0.5490) time: 0.3430 data: 0.0005 [11-23 11:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:09:32 tlr: 0.00017 tnm: 0.37 Lm: 6.785 (6.785) Lt: 6.112 (6.112) Accm: 2.91 (2.91) Acct: 4.49 (4.49) proj_loss: -0.5695 (-0.5695) time: 0.3432 data: 0.0004 [11-23 11:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:08:19 tlr: 0.00017 tnm: 0.35 Lm: 6.805 (6.805) Lt: 6.133 (6.133) Accm: 2.78 (2.78) Acct: 4.34 (4.34) proj_loss: -0.5719 (-0.5719) time: 0.4092 data: 0.0003 [11-23 11:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:08:19 tlr: 0.00017 tnm: 0.35 Lm: 6.897 (6.897) Lt: 6.209 (6.209) Accm: 2.31 (2.31) Acct: 3.54 (3.54) proj_loss: -0.5703 (-0.5703) time: 0.4092 data: 0.0003 [11-23 11:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:08:19 tlr: 0.00017 tnm: 0.35 Lm: 6.856 (6.856) Lt: 6.145 (6.145) Accm: 2.48 (2.48) Acct: 3.92 (3.92) proj_loss: -0.5690 (-0.5690) time: 0.4092 data: 0.0003 [11-23 11:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:08:19 tlr: 0.00017 tnm: 0.35 Lm: 6.906 (6.906) Lt: 6.201 (6.201) Accm: 2.43 (2.43) Acct: 3.62 (3.62) proj_loss: -0.5667 (-0.5667) time: 0.4092 data: 0.0003 [11-23 11:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:20 tlr: 0.00017 tnm: 0.36 Lm: 6.841 (6.857) Lt: 6.144 (6.163) Accm: 2.61 (2.52) Acct: 3.70 (3.78) proj_loss: -0.5844 (-0.5739) time: 0.3622 data: 0.0003 [11-23 11:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:20 tlr: 0.00017 tnm: 0.36 Lm: 6.785 (6.789) Lt: 6.112 (6.095) Accm: 2.72 (2.76) Acct: 4.49 (4.40) proj_loss: -0.5743 (-0.5737) time: 0.3622 data: 0.0003 [11-23 11:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:20 tlr: 0.00017 tnm: 0.36 Lm: 6.855 (6.858) Lt: 6.164 (6.150) Accm: 2.38 (2.44) Acct: 3.65 (3.90) proj_loss: -0.5721 (-0.5709) time: 0.3622 data: 0.0003 [11-23 11:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:20 tlr: 0.00017 tnm: 0.36 Lm: 6.823 (6.840) Lt: 6.162 (6.151) Accm: 2.51 (2.55) Acct: 3.94 (4.04) proj_loss: -0.5731 (-0.5763) time: 0.3622 data: 0.0003 [11-23 11:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.37 Lm: 6.856 (6.875) Lt: 6.165 (6.192) Accm: 2.48 (2.50) Acct: 3.92 (3.95) proj_loss: -0.5780 (-0.5780) time: 0.3621 data: 0.0002 [11-23 11:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.37 Lm: 6.786 (6.788) Lt: 6.079 (6.082) Accm: 2.68 (2.68) Acct: 4.34 (4.24) proj_loss: -0.5719 (-0.5679) time: 0.3621 data: 0.0002 [11-23 11:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.37 Lm: 6.897 (6.888) Lt: 6.209 (6.191) Accm: 2.31 (2.36) Acct: 3.54 (3.73) proj_loss: -0.5726 (-0.5715) time: 0.3621 data: 0.0003 [11-23 11:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.37 Lm: 6.877 (6.871) Lt: 6.176 (6.174) Accm: 2.46 (2.47) Acct: 3.80 (3.81) proj_loss: -0.5863 (-0.5786) time: 0.3621 data: 0.0003 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.865 (6.870) Lt: 6.209 (6.188) Accm: 2.61 (2.50) Acct: 3.89 (3.85) proj_loss: -0.5883 (-0.5807) time: 0.3661 data: 0.0016 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:23 (0.374 s / it) [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.855 (6.854) Lt: 6.164 (6.153) Accm: 2.38 (2.48) Acct: 3.65 (3.92) proj_loss: -0.5731 (-0.5751) time: 0.3661 data: 0.0022 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.823 (6.857) Lt: 6.162 (6.170) Accm: 2.45 (2.49) Acct: 3.89 (3.94) proj_loss: -0.5731 (-0.5744) time: 0.3661 data: 0.0015 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.787 (6.800) Lt: 6.112 (6.108) Accm: 2.64 (2.65) Acct: 4.18 (4.14) proj_loss: -0.5743 (-0.5751) time: 0.3661 data: 0.0019 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:23 (0.374 s / it) [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:23 (0.374 s / it) [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:23 (0.374 s / it) [11-23 11:22:28] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.814 (6.817), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 1 day, 15:58:36, Finish: 2024-11-24 11:21 [11-23 11:22:28] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.814 (6.817), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 1 day, 15:57:23, Finish: 2024-11-24 11:19 [11-23 11:22:28] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.814 (6.817), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 1 day, 16:03:07, Finish: 2024-11-24 11:25 [11-23 11:22:28] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.814 (6.817), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 1 day, 15:59:24, Finish: 2024-11-24 11:21 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:38 tlr: 0.00017 tnm: 0.35 Lm: 6.910 (6.910) Lt: 6.188 (6.188) Accm: 2.22 (2.22) Acct: 3.37 (3.37) proj_loss: -0.5916 (-0.5916) time: 0.3468 data: 0.0004 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:39 tlr: 0.00017 tnm: 0.35 Lm: 6.796 (6.796) Lt: 6.090 (6.090) Accm: 2.91 (2.91) Acct: 4.84 (4.84) proj_loss: -0.5638 (-0.5638) time: 0.3473 data: 0.0004 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:35 tlr: 0.00017 tnm: 0.35 Lm: 6.954 (6.954) Lt: 6.293 (6.293) Accm: 2.42 (2.42) Acct: 3.77 (3.77) proj_loss: -0.5949 (-0.5949) time: 0.3451 data: 0.0003 [11-23 11:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:42 tlr: 0.00017 tnm: 0.35 Lm: 6.919 (6.919) Lt: 6.234 (6.234) Accm: 2.30 (2.30) Acct: 3.53 (3.53) proj_loss: -0.5817 (-0.5817) time: 0.3488 data: 0.0004 [11-23 11:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.36 Lm: 6.892 (6.892) Lt: 6.224 (6.224) Accm: 2.37 (2.37) Acct: 3.56 (3.56) proj_loss: -0.5856 (-0.5856) time: 0.3616 data: 0.0003 [11-23 11:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.36 Lm: 6.880 (6.880) Lt: 6.193 (6.193) Accm: 2.50 (2.50) Acct: 3.97 (3.97) proj_loss: -0.5858 (-0.5858) time: 0.3616 data: 0.0003 [11-23 11:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.36 Lm: 6.921 (6.921) Lt: 6.237 (6.237) Accm: 2.20 (2.20) Acct: 3.35 (3.35) proj_loss: -0.5910 (-0.5910) time: 0.3616 data: 0.0003 [11-23 11:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.36 Lm: 6.869 (6.869) Lt: 6.186 (6.186) Accm: 2.67 (2.67) Acct: 4.44 (4.44) proj_loss: -0.5644 (-0.5644) time: 0.3616 data: 0.0003 [11-23 11:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.943 (6.907) Lt: 6.282 (6.231) Accm: 2.43 (2.54) Acct: 4.05 (4.10) proj_loss: -0.5650 (-0.5646) time: 0.3640 data: 0.0002 [11-23 11:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.910 (6.895) Lt: 6.188 (6.211) Accm: 2.22 (2.21) Acct: 3.37 (3.39) proj_loss: -0.5914 (-0.5912) time: 0.3640 data: 0.0003 [11-23 11:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.865 (6.845) Lt: 6.214 (6.187) Accm: 2.45 (2.47) Acct: 3.60 (3.63) proj_loss: -0.5894 (-0.5889) time: 0.3640 data: 0.0003 [11-23 11:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.924 (6.894) Lt: 6.249 (6.211) Accm: 2.42 (2.46) Acct: 3.81 (3.91) proj_loss: -0.5768 (-0.5806) time: 0.3640 data: 0.0003 [11-23 11:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.865 (6.850) Lt: 6.170 (6.161) Accm: 2.50 (2.57) Acct: 3.99 (4.02) proj_loss: -0.5762 (-0.5794) time: 0.3633 data: 0.0002 [11-23 11:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.887 (6.887) Lt: 6.189 (6.206) Accm: 2.23 (2.26) Acct: 3.42 (3.45) proj_loss: -0.5909 (-0.5875) time: 0.3633 data: 0.0003 [11-23 11:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.808 (6.796) Lt: 6.164 (6.116) Accm: 2.56 (2.62) Acct: 3.68 (3.99) proj_loss: -0.5856 (-0.5835) time: 0.3633 data: 0.0002 [11-23 11:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.869 (6.865) Lt: 6.186 (6.175) Accm: 2.60 (2.60) Acct: 4.15 (4.14) proj_loss: -0.5644 (-0.5617) time: 0.3633 data: 0.0003 [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.889 (6.870) Lt: 6.195 (6.179) Accm: 2.62 (2.60) Acct: 4.15 (4.14) proj_loss: -0.5642 (-0.5622) time: 0.3643 data: 0.0021 [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.835 (6.804) Lt: 6.143 (6.121) Accm: 2.45 (2.59) Acct: 3.72 (3.93) proj_loss: -0.5817 (-0.5792) time: 0.3642 data: 0.0017 [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.863 (6.881) Lt: 6.188 (6.202) Accm: 2.23 (2.28) Acct: 3.46 (3.51) proj_loss: -0.5905 (-0.5870) time: 0.3643 data: 0.0016 [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.924 (6.874) Lt: 6.249 (6.187) Accm: 2.42 (2.51) Acct: 3.81 (3.96) proj_loss: -0.5768 (-0.5807) time: 0.3642 data: 0.0015 [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:05 (0.363 s / it) [11-23 11:32:33] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.814 (6.814), Lt: 6.125 (6.125), Acc m&t: 2.60 4.06, Remain: 1 day, 15:35:45, Finish: 2024-11-24 11:08 [11-23 11:32:33] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.814 (6.814), Lt: 6.125 (6.125), Acc m&t: 2.60 4.06, Remain: 1 day, 15:35:17, Finish: 2024-11-24 11:07 [11-23 11:32:33] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.814 (6.814), Lt: 6.125 (6.125), Acc m&t: 2.60 4.06, Remain: 1 day, 15:36:43, Finish: 2024-11-24 11:09 [11-23 11:32:33] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.814 (6.814), Lt: 6.125 (6.125), Acc m&t: 2.60 4.06, Remain: 1 day, 15:36:42, Finish: 2024-11-24 11:09 [11-23 11:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:09:42 tlr: 0.00017 tnm: 0.36 Lm: 6.761 (6.761) Lt: 6.083 (6.083) Accm: 2.46 (2.46) Acct: 3.79 (3.79) proj_loss: -0.5708 (-0.5708) time: 0.3491 data: 0.0004 [11-23 11:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:09:41 tlr: 0.00017 tnm: 0.36 Lm: 6.891 (6.891) Lt: 6.213 (6.213) Accm: 2.58 (2.58) Acct: 4.36 (4.36) proj_loss: -0.5633 (-0.5633) time: 0.3487 data: 0.0003 [11-23 11:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:09:43 tlr: 0.00017 tnm: 0.36 Lm: 6.865 (6.865) Lt: 6.213 (6.213) Accm: 2.56 (2.56) Acct: 3.74 (3.74) proj_loss: -0.5961 (-0.5961) time: 0.3495 data: 0.0003 [11-23 11:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:10:22 tlr: 0.00017 tnm: 0.36 Lm: 6.777 (6.777) Lt: 6.067 (6.067) Accm: 2.71 (2.71) Acct: 4.29 (4.29) proj_loss: -0.5789 (-0.5789) time: 0.3732 data: 0.0003 [11-23 11:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.37 Lm: 6.794 (6.794) Lt: 6.125 (6.125) Accm: 2.62 (2.62) Acct: 4.09 (4.09) proj_loss: -0.5970 (-0.5970) time: 0.3629 data: 0.0003 [11-23 11:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.37 Lm: 6.797 (6.797) Lt: 6.114 (6.114) Accm: 2.69 (2.69) Acct: 4.13 (4.13) proj_loss: -0.5807 (-0.5807) time: 0.3629 data: 0.0003 [11-23 11:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.37 Lm: 6.903 (6.903) Lt: 6.238 (6.238) Accm: 2.39 (2.39) Acct: 3.93 (3.93) proj_loss: -0.5727 (-0.5727) time: 0.3629 data: 0.0003 [11-23 11:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.37 Lm: 6.728 (6.728) Lt: 6.014 (6.014) Accm: 2.60 (2.60) Acct: 4.09 (4.09) proj_loss: -0.5710 (-0.5710) time: 0.3629 data: 0.0003 [11-23 11:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.35 Lm: 6.761 (6.806) Lt: 6.083 (6.123) Accm: 2.46 (2.38) Acct: 3.79 (3.78) proj_loss: -0.5711 (-0.5760) time: 0.3642 data: 0.0003 [11-23 11:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.35 Lm: 6.914 (6.926) Lt: 6.262 (6.263) Accm: 2.44 (2.41) Acct: 3.87 (3.91) proj_loss: -0.5678 (-0.5711) time: 0.3642 data: 0.0003 [11-23 11:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.35 Lm: 6.730 (6.772) Lt: 6.019 (6.083) Accm: 2.71 (2.70) Acct: 4.18 (4.15) proj_loss: -0.5801 (-0.5805) time: 0.3642 data: 0.0003 [11-23 11:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:04 tlr: 0.00017 tnm: 0.35 Lm: 6.777 (6.746) Lt: 6.067 (6.051) Accm: 2.71 (2.90) Acct: 4.29 (4.59) proj_loss: -0.5789 (-0.5886) time: 0.3642 data: 0.0002 [11-23 11:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.35 Lm: 6.794 (6.784) Lt: 6.125 (6.088) Accm: 2.62 (2.78) Acct: 4.15 (4.44) proj_loss: -0.5833 (-0.5884) time: 0.4081 data: 0.0002 [11-23 11:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.35 Lm: 6.797 (6.795) Lt: 6.095 (6.105) Accm: 2.63 (2.66) Acct: 4.21 (4.17) proj_loss: -0.5825 (-0.5816) time: 0.4081 data: 0.0002 [11-23 11:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.35 Lm: 6.782 (6.805) Lt: 6.112 (6.128) Accm: 2.59 (2.47) Acct: 3.91 (3.84) proj_loss: -0.5786 (-0.5852) time: 0.4081 data: 0.0003 [11-23 11:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.35 Lm: 6.932 (6.931) Lt: 6.280 (6.272) Accm: 2.32 (2.33) Acct: 3.69 (3.76) proj_loss: -0.5750 (-0.5753) time: 0.4081 data: 0.0002 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.914 (6.892) Lt: 6.262 (6.219) Accm: 2.44 (2.46) Acct: 3.87 (3.92) proj_loss: -0.5814 (-0.5765) time: 0.3657 data: 0.0020 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:16 (0.369 s / it) [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.792 (6.786) Lt: 6.099 (6.091) Accm: 2.56 (2.74) Acct: 4.15 (4.38) proj_loss: -0.5849 (-0.5877) time: 0.3657 data: 0.0016 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.730 (6.773) Lt: 6.019 (6.084) Accm: 2.71 (2.72) Acct: 4.24 (4.25) proj_loss: -0.5850 (-0.5843) time: 0.3657 data: 0.0019 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.804 (6.806) Lt: 6.083 (6.111) Accm: 2.57 (2.49) Acct: 4.03 (3.88) proj_loss: -0.5798 (-0.5842) time: 0.3657 data: 0.0014 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:16 (0.369 s / it) [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:16 (0.369 s / it) [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:16 (0.369 s / it) [11-23 11:42:50] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.809 (6.809), Lt: 6.114 (6.114), Acc m&t: 2.60 4.07, Remain: 1 day, 15:41:28, Finish: 2024-11-24 11:24 [11-23 11:42:50] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.809 (6.809), Lt: 6.114 (6.114), Acc m&t: 2.60 4.07, Remain: 1 day, 15:42:00, Finish: 2024-11-24 11:24 [11-23 11:42:50] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.809 (6.809), Lt: 6.114 (6.114), Acc m&t: 2.60 4.07, Remain: 1 day, 15:40:36, Finish: 2024-11-24 11:23 [11-23 11:42:50] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.809 (6.809), Lt: 6.114 (6.114), Acc m&t: 2.60 4.07, Remain: 1 day, 15:40:33, Finish: 2024-11-24 11:23 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:42 tlr: 0.00017 tnm: 0.39 Lm: 6.785 (6.785) Lt: 6.094 (6.094) Accm: 2.70 (2.70) Acct: 4.25 (4.25) proj_loss: -0.5701 (-0.5701) time: 0.3492 data: 0.0004 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:43 tlr: 0.00017 tnm: 0.39 Lm: 6.832 (6.832) Lt: 6.172 (6.172) Accm: 2.39 (2.39) Acct: 3.82 (3.82) proj_loss: -0.5726 (-0.5726) time: 0.3496 data: 0.0004 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:44 tlr: 0.00017 tnm: 0.39 Lm: 6.814 (6.814) Lt: 6.123 (6.123) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5879 (-0.5879) time: 0.3500 data: 0.0003 [11-23 11:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:50 tlr: 0.00017 tnm: 0.39 Lm: 6.747 (6.747) Lt: 6.047 (6.047) Accm: 2.87 (2.87) Acct: 4.53 (4.53) proj_loss: -0.5872 (-0.5872) time: 0.3539 data: 0.0003 [11-23 11:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:08:13 tlr: 0.00017 tnm: 0.34 Lm: 6.807 (6.807) Lt: 6.108 (6.108) Accm: 2.77 (2.77) Acct: 4.36 (4.36) proj_loss: -0.5787 (-0.5787) time: 0.4057 data: 0.0003 [11-23 11:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:08:13 tlr: 0.00017 tnm: 0.34 Lm: 6.796 (6.796) Lt: 6.104 (6.104) Accm: 2.70 (2.70) Acct: 4.37 (4.37) proj_loss: -0.5898 (-0.5898) time: 0.4057 data: 0.0002 [11-23 11:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:08:13 tlr: 0.00017 tnm: 0.34 Lm: 6.801 (6.801) Lt: 6.128 (6.128) Accm: 2.58 (2.58) Acct: 4.09 (4.09) proj_loss: -0.5813 (-0.5813) time: 0.4057 data: 0.0003 [11-23 11:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:08:13 tlr: 0.00017 tnm: 0.34 Lm: 6.797 (6.797) Lt: 6.131 (6.131) Accm: 2.64 (2.64) Acct: 4.03 (4.03) proj_loss: -0.5789 (-0.5789) time: 0.4057 data: 0.0003 [11-23 11:48:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.36 Lm: 6.796 (6.797) Lt: 6.141 (6.134) Accm: 2.57 (2.55) Acct: 3.81 (3.90) proj_loss: -0.5877 (-0.5835) time: 0.3625 data: 0.0003 [11-23 11:48:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.36 Lm: 6.832 (6.837) Lt: 6.172 (6.161) Accm: 2.40 (2.52) Acct: 3.82 (3.99) proj_loss: -0.5726 (-0.5768) time: 0.3625 data: 0.0003 [11-23 11:48:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.36 Lm: 6.861 (6.825) Lt: 6.168 (6.132) Accm: 2.67 (2.71) Acct: 4.20 (4.25) proj_loss: -0.5726 (-0.5766) time: 0.3625 data: 0.0003 [11-23 11:48:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.36 Lm: 6.778 (6.749) Lt: 6.085 (6.046) Accm: 2.81 (2.75) Acct: 4.56 (4.44) proj_loss: -0.5879 (-0.5878) time: 0.3625 data: 0.0002 [11-23 11:50:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.35 Lm: 6.753 (6.744) Lt: 6.053 (6.040) Accm: 2.78 (2.75) Acct: 4.44 (4.41) proj_loss: -0.5858 (-0.5859) time: 0.3628 data: 0.0002 [11-23 11:50:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.35 Lm: 6.870 (6.857) Lt: 6.199 (6.194) Accm: 2.39 (2.44) Acct: 3.81 (3.84) proj_loss: -0.5724 (-0.5757) time: 0.3628 data: 0.0003 [11-23 11:50:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.35 Lm: 6.803 (6.816) Lt: 6.150 (6.141) Accm: 2.48 (2.49) Acct: 3.76 (3.86) proj_loss: -0.5810 (-0.5812) time: 0.3628 data: 0.0003 [11-23 11:50:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.35 Lm: 6.808 (6.808) Lt: 6.108 (6.092) Accm: 2.67 (2.70) Acct: 4.33 (4.30) proj_loss: -0.5714 (-0.5739) time: 0.3628 data: 0.0003 [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.795 (6.805) Lt: 6.061 (6.086) Accm: 2.67 (2.71) Acct: 4.30 (4.30) proj_loss: -0.5726 (-0.5768) time: 0.3660 data: 0.0015 [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:19 (0.371 s / it) [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.832 (6.840) Lt: 6.172 (6.172) Accm: 2.40 (2.51) Acct: 3.82 (3.94) proj_loss: -0.5726 (-0.5802) time: 0.3660 data: 0.0017 [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.778 (6.779) Lt: 6.085 (6.072) Accm: 2.75 (2.69) Acct: 4.32 (4.31) proj_loss: -0.5838 (-0.5849) time: 0.3660 data: 0.0020 [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.796 (6.781) Lt: 6.141 (6.095) Accm: 2.57 (2.63) Acct: 3.81 (4.10) proj_loss: -0.5799 (-0.5809) time: 0.3660 data: 0.0019 [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:19 (0.371 s / it) [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:19 (0.371 s / it) [11-23 11:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:19 (0.371 s / it) [11-23 11:53:09] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.809 (6.817), Lt: 6.114 (6.132), Acc m&t: 2.60 4.07, Remain: 1 day, 15:30:46, Finish: 2024-11-24 11:23 [11-23 11:53:09] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.809 (6.817), Lt: 6.114 (6.132), Acc m&t: 2.60 4.07, Remain: 1 day, 15:31:29, Finish: 2024-11-24 11:24 [11-23 11:53:09] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.809 (6.817), Lt: 6.114 (6.132), Acc m&t: 2.60 4.07, Remain: 1 day, 15:31:24, Finish: 2024-11-24 11:24 [11-23 11:53:09] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.809 (6.817), Lt: 6.114 (6.132), Acc m&t: 2.60 4.07, Remain: 1 day, 15:30:41, Finish: 2024-11-24 11:23 [11-23 11:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:09:45 tlr: 0.00017 tnm: 0.35 Lm: 6.819 (6.819) Lt: 6.113 (6.113) Accm: 2.43 (2.43) Acct: 3.91 (3.91) proj_loss: -0.5801 (-0.5801) time: 0.3508 data: 0.0004 [11-23 11:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:12:30 tlr: 0.00017 tnm: 0.35 Lm: 6.896 (6.896) Lt: 6.224 (6.224) Accm: 2.59 (2.59) Acct: 3.98 (3.98) proj_loss: -0.5933 (-0.5933) time: 0.4496 data: 0.0004 [11-23 11:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:12:30 tlr: 0.00017 tnm: 0.35 Lm: 6.644 (6.644) Lt: 5.965 (5.965) Accm: 3.07 (3.07) Acct: 4.96 (4.96) proj_loss: -0.5914 (-0.5914) time: 0.4498 data: 0.0003 [11-23 11:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:12:33 tlr: 0.00017 tnm: 0.35 Lm: 6.843 (6.843) Lt: 6.149 (6.149) Accm: 2.78 (2.78) Acct: 4.20 (4.20) proj_loss: -0.5915 (-0.5915) time: 0.4515 data: 0.0004 [11-23 11:55:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.37 Lm: 6.861 (6.861) Lt: 6.188 (6.188) Accm: 2.63 (2.63) Acct: 4.07 (4.07) proj_loss: -0.5966 (-0.5966) time: 0.3627 data: 0.0002 [11-23 11:55:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.37 Lm: 6.843 (6.843) Lt: 6.146 (6.146) Accm: 2.45 (2.45) Acct: 3.91 (3.91) proj_loss: -0.5810 (-0.5810) time: 0.3627 data: 0.0002 [11-23 11:55:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.37 Lm: 6.740 (6.740) Lt: 6.037 (6.037) Accm: 2.84 (2.84) Acct: 4.59 (4.59) proj_loss: -0.5875 (-0.5875) time: 0.3627 data: 0.0003 [11-23 11:55:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.37 Lm: 6.849 (6.849) Lt: 6.161 (6.161) Accm: 2.62 (2.62) Acct: 4.14 (4.14) proj_loss: -0.5830 (-0.5830) time: 0.3627 data: 0.0003 [11-23 11:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.896 (6.881) Lt: 6.224 (6.203) Accm: 2.59 (2.55) Acct: 3.98 (3.98) proj_loss: -0.5727 (-0.5792) time: 0.3634 data: 0.0003 [11-23 11:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.819 (6.825) Lt: 6.116 (6.136) Accm: 2.48 (2.49) Acct: 3.91 (3.93) proj_loss: -0.5801 (-0.5784) time: 0.3634 data: 0.0003 [11-23 11:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.755 (6.745) Lt: 6.030 (6.034) Accm: 2.80 (2.83) Acct: 4.32 (4.50) proj_loss: -0.5835 (-0.5826) time: 0.3634 data: 0.0003 [11-23 11:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.843 (6.824) Lt: 6.149 (6.158) Accm: 2.55 (2.60) Acct: 4.05 (4.06) proj_loss: -0.5954 (-0.5962) time: 0.3634 data: 0.0003 [11-23 12:00:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.37 Lm: 6.823 (6.819) Lt: 6.130 (6.147) Accm: 2.52 (2.53) Acct: 3.99 (3.90) proj_loss: -0.5949 (-0.5957) time: 0.3616 data: 0.0003 [11-23 12:00:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.37 Lm: 6.843 (6.842) Lt: 6.148 (6.164) Accm: 2.45 (2.46) Acct: 3.91 (3.84) proj_loss: -0.5810 (-0.5799) time: 0.3616 data: 0.0003 [11-23 12:00:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.37 Lm: 6.796 (6.793) Lt: 6.069 (6.100) Accm: 2.70 (2.66) Acct: 4.27 (4.21) proj_loss: -0.5828 (-0.5825) time: 0.3616 data: 0.0003 [11-23 12:00:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.37 Lm: 6.849 (6.858) Lt: 6.161 (6.173) Accm: 2.57 (2.55) Acct: 3.91 (3.95) proj_loss: -0.5754 (-0.5790) time: 0.3616 data: 0.0002 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.896 (6.870) Lt: 6.224 (6.194) Accm: 2.55 (2.52) Acct: 3.89 (3.94) proj_loss: -0.5782 (-0.5819) time: 0.3661 data: 0.0020 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.819 (6.822) Lt: 6.116 (6.136) Accm: 2.48 (2.51) Acct: 3.91 (3.94) proj_loss: -0.5801 (-0.5796) time: 0.3661 data: 0.0018 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.781 (6.790) Lt: 6.060 (6.092) Accm: 2.80 (2.69) Acct: 4.32 (4.29) proj_loss: -0.5820 (-0.5818) time: 0.3661 data: 0.0017 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.804 (6.796) Lt: 6.112 (6.118) Accm: 2.55 (2.66) Acct: 4.05 (4.10) proj_loss: -0.5943 (-0.5953) time: 0.3661 data: 0.0018 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:03:15] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.806 (6.806), Lt: 6.114 (6.115), Acc m&t: 2.60 4.07, Remain: 1 day, 15:25:37, Finish: 2024-11-24 11:28 [11-23 12:03:15] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.806 (6.806), Lt: 6.114 (6.115), Acc m&t: 2.60 4.07, Remain: 1 day, 15:27:03, Finish: 2024-11-24 11:30 [11-23 12:03:15] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.806 (6.806), Lt: 6.114 (6.115), Acc m&t: 2.60 4.07, Remain: 1 day, 15:25:40, Finish: 2024-11-24 11:28 [11-23 12:03:15] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.806 (6.806), Lt: 6.114 (6.115), Acc m&t: 2.60 4.07, Remain: 1 day, 15:28:12, Finish: 2024-11-24 11:31 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:10:47 tlr: 0.00017 tnm: 0.36 Lm: 6.684 (6.684) Lt: 5.952 (5.952) Accm: 2.97 (2.97) Acct: 4.77 (4.77) proj_loss: -0.5806 (-0.5806) time: 0.3878 data: 0.0004 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:10:15 tlr: 0.00017 tnm: 0.36 Lm: 6.772 (6.772) Lt: 6.061 (6.061) Accm: 2.63 (2.63) Acct: 4.22 (4.22) proj_loss: -0.5847 (-0.5847) time: 0.3686 data: 0.0003 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:10:12 tlr: 0.00017 tnm: 0.36 Lm: 6.884 (6.884) Lt: 6.167 (6.167) Accm: 2.48 (2.48) Acct: 3.89 (3.89) proj_loss: -0.5495 (-0.5495) time: 0.3669 data: 0.0004 [11-23 12:03:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:10:14 tlr: 0.00017 tnm: 0.36 Lm: 6.616 (6.616) Lt: 5.840 (5.840) Accm: 3.28 (3.28) Acct: 5.60 (5.60) proj_loss: -0.5823 (-0.5823) time: 0.3682 data: 0.0004 [11-23 12:05:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.620 (6.620) Lt: 5.887 (5.887) Accm: 3.21 (3.21) Acct: 5.35 (5.35) proj_loss: -0.5746 (-0.5746) time: 0.3633 data: 0.0003 [11-23 12:05:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.876 (6.876) Lt: 6.187 (6.187) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5807 (-0.5807) time: 0.3633 data: 0.0003 [11-23 12:05:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.753 (6.753) Lt: 6.038 (6.038) Accm: 2.76 (2.76) Acct: 4.44 (4.44) proj_loss: -0.5766 (-0.5766) time: 0.3633 data: 0.0002 [11-23 12:05:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.823 (6.823) Lt: 6.116 (6.116) Accm: 2.54 (2.54) Acct: 4.10 (4.10) proj_loss: -0.5868 (-0.5868) time: 0.3633 data: 0.0002 [11-23 12:08:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.772 (6.777) Lt: 6.061 (6.087) Accm: 2.63 (2.64) Acct: 4.22 (4.18) proj_loss: -0.5885 (-0.5874) time: 0.3629 data: 0.0002 [11-23 12:08:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.803 (6.852) Lt: 6.128 (6.167) Accm: 2.77 (2.65) Acct: 4.36 (4.24) proj_loss: -0.5806 (-0.5773) time: 0.3629 data: 0.0003 [11-23 12:08:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.726 (6.744) Lt: 6.019 (6.032) Accm: 2.91 (2.81) Acct: 4.32 (4.40) proj_loss: -0.5816 (-0.5783) time: 0.3629 data: 0.0003 [11-23 12:08:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.624 (6.698) Lt: 5.933 (5.984) Accm: 3.13 (2.95) Acct: 5.10 (4.85) proj_loss: -0.5823 (-0.5857) time: 0.3629 data: 0.0003 [11-23 12:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.38 Lm: 6.739 (6.748) Lt: 6.056 (6.037) Accm: 2.80 (2.83) Acct: 4.51 (4.62) proj_loss: -0.5870 (-0.5872) time: 0.4090 data: 0.0003 [11-23 12:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.38 Lm: 6.902 (6.889) Lt: 6.223 (6.205) Accm: 2.49 (2.49) Acct: 3.97 (3.99) proj_loss: -0.5755 (-0.5719) time: 0.4090 data: 0.0003 [11-23 12:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.38 Lm: 6.823 (6.809) Lt: 6.116 (6.120) Accm: 2.54 (2.53) Acct: 4.10 (3.98) proj_loss: -0.5866 (-0.5856) time: 0.4090 data: 0.0003 [11-23 12:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.38 Lm: 6.774 (6.764) Lt: 6.093 (6.067) Accm: 2.71 (2.74) Acct: 4.14 (4.29) proj_loss: -0.5818 (-0.5792) time: 0.4090 data: 0.0003 [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.823 (6.781) Lt: 6.127 (6.079) Accm: 2.52 (2.67) Acct: 3.96 (4.18) proj_loss: -0.5819 (-0.5799) time: 0.3648 data: 0.0015 [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.809 (6.760) Lt: 6.071 (6.044) Accm: 2.55 (2.77) Acct: 4.01 (4.50) proj_loss: -0.5823 (-0.5830) time: 0.3648 data: 0.0019 [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.868 (6.821) Lt: 6.157 (6.127) Accm: 2.62 (2.55) Acct: 4.03 (3.99) proj_loss: -0.5847 (-0.5815) time: 0.3648 data: 0.0021 [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.859 (6.883) Lt: 6.156 (6.195) Accm: 2.36 (2.46) Acct: 3.86 (3.97) proj_loss: -0.5806 (-0.5748) time: 0.3648 data: 0.0019 [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:15:39] (home/user/VAR/trainer.py, line 114)=> FID: 4.640407479399755 [11-23 12:15:39] (/home/user/VAR/train.py , line 259)=> [*] [ep119] (val 50000) Lm: 6.7885, Lt: 6.0961, Acc m&t: 2.65 4.14, Val cost: 126.70s [11-23 12:15:39] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 12:15:53] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.788 (6.788), Lt: 6.096 (6.096), Acc m&t: 2.65 4.14, Remain: 1 day, 14:57:03, Finish: 2024-11-24 11:10 [11-23 12:15:53] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.788 (6.788), Lt: 6.096 (6.096), Acc m&t: 2.65 4.14, Remain: 1 day, 14:56:46, Finish: 2024-11-24 11:10 [11-23 12:15:53] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.788 (6.788), Lt: 6.096 (6.096), Acc m&t: 2.65 4.14, Remain: 1 day, 14:57:21, Finish: 2024-11-24 11:10 [11-23 12:15:53] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.788 (6.788), Lt: 6.096 (6.096), Acc m&t: 2.65 4.14, Remain: 1 day, 14:55:57, Finish: 2024-11-24 11:09 [11-23 12:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:10:01 tlr: 0.00017 tnm: 0.37 Lm: 6.845 (6.845) Lt: 6.120 (6.120) Accm: 2.30 (2.30) Acct: 3.72 (3.72) proj_loss: -0.5592 (-0.5592) time: 0.3605 data: 0.0004 [11-23 12:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.37 Lm: 6.691 (6.691) Lt: 5.982 (5.982) Accm: 2.75 (2.75) Acct: 4.46 (4.46) proj_loss: -0.5826 (-0.5826) time: 0.3547 data: 0.0004 [11-23 12:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:10:00 tlr: 0.00017 tnm: 0.37 Lm: 6.835 (6.835) Lt: 6.175 (6.175) Accm: 2.40 (2.40) Acct: 3.58 (3.58) proj_loss: -0.5709 (-0.5709) time: 0.3599 data: 0.0004 [11-23 12:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:09:53 tlr: 0.00017 tnm: 0.37 Lm: 6.876 (6.876) Lt: 6.232 (6.232) Accm: 2.25 (2.25) Acct: 3.67 (3.67) proj_loss: -0.5803 (-0.5803) time: 0.3557 data: 0.0004 [11-23 12:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:08:07 tlr: 0.00017 tnm: 0.39 Lm: 6.877 (6.877) Lt: 6.183 (6.183) Accm: 2.33 (2.33) Acct: 3.81 (3.81) proj_loss: -0.5862 (-0.5862) time: 0.3636 data: 0.0002 [11-23 12:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:08:07 tlr: 0.00017 tnm: 0.39 Lm: 6.867 (6.867) Lt: 6.217 (6.217) Accm: 2.37 (2.37) Acct: 3.62 (3.62) proj_loss: -0.5807 (-0.5807) time: 0.3636 data: 0.0002 [11-23 12:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:08:07 tlr: 0.00017 tnm: 0.39 Lm: 6.731 (6.731) Lt: 6.062 (6.062) Accm: 2.67 (2.67) Acct: 4.15 (4.15) proj_loss: -0.5966 (-0.5966) time: 0.3636 data: 0.0003 [11-23 12:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:08:07 tlr: 0.00017 tnm: 0.39 Lm: 6.866 (6.866) Lt: 6.142 (6.142) Accm: 2.27 (2.27) Acct: 3.73 (3.73) proj_loss: -0.5760 (-0.5760) time: 0.3636 data: 0.0002 [11-23 12:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:15 tlr: 0.00017 tnm: 0.37 Lm: 6.845 (6.828) Lt: 6.120 (6.121) Accm: 2.30 (2.42) Acct: 3.74 (3.92) proj_loss: -0.5782 (-0.5767) time: 0.3661 data: 0.0002 [11-23 12:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:15 tlr: 0.00017 tnm: 0.37 Lm: 6.770 (6.793) Lt: 6.143 (6.129) Accm: 2.59 (2.53) Acct: 3.84 (3.84) proj_loss: -0.5826 (-0.5918) time: 0.3661 data: 0.0003 [11-23 12:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:15 tlr: 0.00017 tnm: 0.37 Lm: 6.898 (6.896) Lt: 6.258 (6.246) Accm: 2.37 (2.37) Acct: 3.58 (3.59) proj_loss: -0.5904 (-0.5878) time: 0.3661 data: 0.0003 [11-23 12:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:15 tlr: 0.00017 tnm: 0.37 Lm: 6.876 (6.849) Lt: 6.134 (6.163) Accm: 2.40 (2.41) Acct: 3.89 (3.84) proj_loss: -0.5863 (-0.5863) time: 0.3661 data: 0.0002 [11-23 12:23:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:35 tlr: 0.00017 tnm: 0.37 Lm: 6.836 (6.815) Lt: 6.129 (6.112) Accm: 2.49 (2.50) Acct: 3.93 (4.01) proj_loss: -0.5833 (-0.5811) time: 0.3637 data: 0.0002 [11-23 12:23:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:35 tlr: 0.00017 tnm: 0.37 Lm: 6.814 (6.809) Lt: 6.151 (6.136) Accm: 2.49 (2.49) Acct: 3.81 (3.82) proj_loss: -0.5824 (-0.5882) time: 0.3637 data: 0.0003 [11-23 12:23:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:35 tlr: 0.00017 tnm: 0.37 Lm: 6.881 (6.888) Lt: 6.221 (6.231) Accm: 2.35 (2.35) Acct: 3.59 (3.59) proj_loss: -0.5807 (-0.5825) time: 0.3637 data: 0.0003 [11-23 12:23:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:35 tlr: 0.00017 tnm: 0.37 Lm: 6.866 (6.856) Lt: 6.142 (6.154) Accm: 2.28 (2.38) Acct: 3.73 (3.82) proj_loss: -0.5838 (-0.5799) time: 0.3637 data: 0.0003 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.845 (6.842) Lt: 6.120 (6.135) Accm: 2.30 (2.46) Acct: 3.74 (3.88) proj_loss: -0.5782 (-0.5786) time: 0.3634 data: 0.0020 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.795 (6.789) Lt: 6.124 (6.082) Accm: 2.57 (2.58) Acct: 3.96 (4.15) proj_loss: -0.5803 (-0.5786) time: 0.3634 data: 0.0017 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.863 (6.852) Lt: 6.184 (6.188) Accm: 2.37 (2.44) Acct: 3.60 (3.75) proj_loss: -0.5904 (-0.5851) time: 0.3634 data: 0.0015 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.857 (6.820) Lt: 6.159 (6.150) Accm: 2.40 (2.47) Acct: 3.77 (3.76) proj_loss: -0.5822 (-0.5843) time: 0.3634 data: 0.0020 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:17 (0.370 s / it) [11-23 12:26:11] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.788 (6.798), Lt: 6.096 (6.107), Acc m&t: 2.65 4.14, Remain: 1 day, 14:49:55, Finish: 2024-11-24 11:16 [11-23 12:26:11] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.788 (6.798), Lt: 6.096 (6.107), Acc m&t: 2.65 4.14, Remain: 1 day, 14:50:33, Finish: 2024-11-24 11:16 [11-23 12:26:11] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.788 (6.798), Lt: 6.096 (6.107), Acc m&t: 2.65 4.14, Remain: 1 day, 14:52:05, Finish: 2024-11-24 11:18 [11-23 12:26:11] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.788 (6.798), Lt: 6.096 (6.107), Acc m&t: 2.65 4.14, Remain: 1 day, 14:50:28, Finish: 2024-11-24 11:16 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:09:25 tlr: 0.00017 tnm: 0.35 Lm: 6.824 (6.824) Lt: 6.174 (6.174) Accm: 2.54 (2.54) Acct: 4.18 (4.18) proj_loss: -0.5858 (-0.5858) time: 0.3386 data: 0.0004 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:09:25 tlr: 0.00017 tnm: 0.35 Lm: 6.689 (6.689) Lt: 6.011 (6.011) Accm: 2.61 (2.61) Acct: 3.91 (3.91) proj_loss: -0.5977 (-0.5977) time: 0.3391 data: 0.0003 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:09:45 tlr: 0.00017 tnm: 0.35 Lm: 6.710 (6.710) Lt: 6.012 (6.012) Accm: 2.83 (2.83) Acct: 4.70 (4.70) proj_loss: -0.5869 (-0.5869) time: 0.3508 data: 0.0004 [11-23 12:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:09:28 tlr: 0.00017 tnm: 0.35 Lm: 6.593 (6.593) Lt: 5.883 (5.883) Accm: 3.20 (3.20) Acct: 4.91 (4.91) proj_loss: -0.5946 (-0.5946) time: 0.3406 data: 0.0003 [11-23 12:28:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.757 (6.757) Lt: 6.105 (6.105) Accm: 2.71 (2.71) Acct: 4.18 (4.18) proj_loss: -0.5829 (-0.5829) time: 0.3629 data: 0.0003 [11-23 12:28:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.730 (6.730) Lt: 6.044 (6.044) Accm: 2.70 (2.70) Acct: 4.30 (4.30) proj_loss: -0.5917 (-0.5917) time: 0.3629 data: 0.0003 [11-23 12:28:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.810 (6.810) Lt: 6.153 (6.153) Accm: 2.64 (2.64) Acct: 4.25 (4.25) proj_loss: -0.5837 (-0.5837) time: 0.3628 data: 0.0003 [11-23 12:28:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.696 (6.696) Lt: 5.986 (5.986) Accm: 2.65 (2.65) Acct: 4.01 (4.01) proj_loss: -0.5848 (-0.5848) time: 0.3629 data: 0.0003 [11-23 12:31:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.702 (6.761) Lt: 6.011 (6.066) Accm: 2.61 (2.58) Acct: 3.91 (3.97) proj_loss: -0.5937 (-0.5877) time: 0.3627 data: 0.0004 [11-23 12:31:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.749 (6.804) Lt: 6.077 (6.110) Accm: 2.56 (2.54) Acct: 3.91 (4.05) proj_loss: -0.5869 (-0.5835) time: 0.3627 data: 0.0003 [11-23 12:31:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.795 (6.767) Lt: 6.131 (6.074) Accm: 2.74 (2.75) Acct: 4.32 (4.51) proj_loss: -0.5858 (-0.5892) time: 0.3627 data: 0.0003 [11-23 12:31:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.37 Lm: 6.660 (6.725) Lt: 5.906 (6.038) Accm: 3.20 (2.89) Acct: 4.91 (4.52) proj_loss: -0.5713 (-0.5781) time: 0.3627 data: 0.0003 [11-23 12:33:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.35 Lm: 6.782 (6.769) Lt: 6.081 (6.093) Accm: 2.71 (2.71) Acct: 4.18 (4.22) proj_loss: -0.5829 (-0.5835) time: 0.3648 data: 0.0003 [11-23 12:33:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.35 Lm: 6.779 (6.805) Lt: 6.096 (6.111) Accm: 2.63 (2.58) Acct: 3.96 (4.04) proj_loss: -0.5876 (-0.5847) time: 0.3648 data: 0.0003 [11-23 12:33:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.35 Lm: 6.740 (6.766) Lt: 6.054 (6.074) Accm: 2.58 (2.58) Acct: 3.99 (3.99) proj_loss: -0.5914 (-0.5881) time: 0.3648 data: 0.0003 [11-23 12:33:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.35 Lm: 6.804 (6.778) Lt: 6.140 (6.093) Accm: 2.68 (2.72) Acct: 4.25 (4.39) proj_loss: -0.5891 (-0.5900) time: 0.3648 data: 0.0003 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.795 (6.770) Lt: 6.131 (6.088) Accm: 2.74 (2.76) Acct: 4.32 (4.40) proj_loss: -0.5858 (-0.5873) time: 0.3632 data: 0.0016 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.777 (6.799) Lt: 6.085 (6.106) Accm: 2.62 (2.59) Acct: 4.01 (4.05) proj_loss: -0.5869 (-0.5826) time: 0.3632 data: 0.0016 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.786 (6.773) Lt: 6.051 (6.085) Accm: 2.96 (2.76) Acct: 4.89 (4.36) proj_loss: -0.5720 (-0.5812) time: 0.3632 data: 0.0015 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.778 (6.794) Lt: 6.097 (6.106) Accm: 2.56 (2.56) Acct: 3.91 (3.93) proj_loss: -0.5891 (-0.5842) time: 0.3632 data: 0.0018 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:05 (0.363 s / it) [11-23 12:36:17] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 14:35:22, Finish: 2024-11-24 11:11 [11-23 12:36:17] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 14:36:12, Finish: 2024-11-24 11:12 [11-23 12:36:17] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 14:34:45, Finish: 2024-11-24 11:11 [11-23 12:36:17] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 14:34:12, Finish: 2024-11-24 11:10 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.35 Lm: 6.787 (6.787) Lt: 6.097 (6.097) Accm: 2.46 (2.46) Acct: 3.72 (3.72) proj_loss: -0.5850 (-0.5850) time: 0.3651 data: 0.0004 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:09:36 tlr: 0.00017 tnm: 0.35 Lm: 6.921 (6.921) Lt: 6.269 (6.269) Accm: 2.35 (2.35) Acct: 3.36 (3.36) proj_loss: -0.6008 (-0.6008) time: 0.3454 data: 0.0004 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:09:38 tlr: 0.00017 tnm: 0.35 Lm: 6.687 (6.687) Lt: 5.952 (5.952) Accm: 3.07 (3.07) Acct: 4.70 (4.70) proj_loss: -0.5734 (-0.5734) time: 0.3463 data: 0.0004 [11-23 12:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:09:37 tlr: 0.00017 tnm: 0.35 Lm: 6.823 (6.823) Lt: 6.146 (6.146) Accm: 2.58 (2.58) Acct: 3.98 (3.98) proj_loss: -0.5835 (-0.5835) time: 0.3460 data: 0.0003 [11-23 12:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.35 Lm: 6.834 (6.834) Lt: 6.155 (6.155) Accm: 2.53 (2.53) Acct: 3.85 (3.85) proj_loss: -0.5810 (-0.5810) time: 0.3636 data: 0.0003 [11-23 12:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:35 tlr: 0.00017 tnm: 0.35 Lm: 6.841 (6.841) Lt: 6.169 (6.169) Accm: 2.49 (2.49) Acct: 3.67 (3.67) proj_loss: -0.5893 (-0.5893) time: 0.3636 data: 0.0002 [11-23 12:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:35 tlr: 0.00017 tnm: 0.35 Lm: 6.817 (6.817) Lt: 6.076 (6.076) Accm: 2.83 (2.83) Acct: 4.42 (4.42) proj_loss: -0.5714 (-0.5714) time: 0.3635 data: 0.0003 [11-23 12:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:35 tlr: 0.00017 tnm: 0.35 Lm: 6.790 (6.790) Lt: 6.126 (6.126) Accm: 2.60 (2.60) Acct: 3.87 (3.87) proj_loss: -0.5868 (-0.5868) time: 0.3636 data: 0.0002 [11-23 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.794 (6.818) Lt: 6.156 (6.146) Accm: 2.46 (2.55) Acct: 3.81 (3.85) proj_loss: -0.5850 (-0.5763) time: 0.3633 data: 0.0003 [11-23 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.36 Lm: 6.845 (6.845) Lt: 6.151 (6.153) Accm: 2.48 (2.47) Acct: 3.81 (3.83) proj_loss: -0.5785 (-0.5774) time: 0.3633 data: 0.0003 [11-23 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.883 (6.855) Lt: 6.175 (6.171) Accm: 2.43 (2.47) Acct: 3.98 (3.82) proj_loss: -0.5892 (-0.5893) time: 0.3633 data: 0.0003 [11-23 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.36 Lm: 6.801 (6.812) Lt: 6.092 (6.081) Accm: 2.63 (2.77) Acct: 4.13 (4.29) proj_loss: -0.5734 (-0.5745) time: 0.3633 data: 0.0003 [11-23 12:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.43 Lm: 6.819 (6.818) Lt: 6.120 (6.098) Accm: 2.61 (2.66) Acct: 4.09 (4.10) proj_loss: -0.5759 (-0.5755) time: 0.4048 data: 0.0003 [11-23 12:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.43 Lm: 6.822 (6.829) Lt: 6.138 (6.154) Accm: 2.53 (2.54) Acct: 4.05 (3.90) proj_loss: -0.5872 (-0.5882) time: 0.4048 data: 0.0003 [11-23 12:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.43 Lm: 6.834 (6.826) Lt: 6.148 (6.142) Accm: 2.53 (2.50) Acct: 3.89 (3.93) proj_loss: -0.5748 (-0.5758) time: 0.4048 data: 0.0003 [11-23 12:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.43 Lm: 6.830 (6.830) Lt: 6.171 (6.160) Accm: 2.45 (2.50) Acct: 3.76 (3.76) proj_loss: -0.5868 (-0.5805) time: 0.4048 data: 0.0003 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.867 (6.862) Lt: 6.186 (6.192) Accm: 2.45 (2.42) Acct: 3.72 (3.65) proj_loss: -0.5886 (-0.5823) time: 0.4584 data: 0.0022 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:25 (0.375 s / it) [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.881 (6.840) Lt: 6.175 (6.170) Accm: 2.43 (2.49) Acct: 3.98 (3.85) proj_loss: -0.5851 (-0.5861) time: 0.4584 data: 0.0017 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.823 (6.819) Lt: 6.136 (6.106) Accm: 2.59 (2.64) Acct: 4.13 (4.11) proj_loss: -0.5783 (-0.5798) time: 0.4584 data: 0.0021 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.823 (6.813) Lt: 6.146 (6.125) Accm: 2.48 (2.47) Acct: 3.81 (3.89) proj_loss: -0.5785 (-0.5781) time: 0.4584 data: 0.0014 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:25 (0.375 s / it) [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:25 (0.375 s / it) [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:25 (0.375 s / it) [11-23 12:46:42] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.788 (6.807), Lt: 6.096 (6.114), Acc m&t: 2.65 4.14, Remain: 1 day, 15:04:57, Finish: 2024-11-24 11:51 [11-23 12:46:42] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.788 (6.807), Lt: 6.096 (6.114), Acc m&t: 2.65 4.14, Remain: 1 day, 15:06:47, Finish: 2024-11-24 11:53 [11-23 12:46:42] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.788 (6.807), Lt: 6.096 (6.114), Acc m&t: 2.65 4.14, Remain: 1 day, 15:05:06, Finish: 2024-11-24 11:51 [11-23 12:46:42] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.788 (6.807), Lt: 6.096 (6.114), Acc m&t: 2.65 4.14, Remain: 1 day, 15:05:28, Finish: 2024-11-24 11:52 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:50 tlr: 0.00017 tnm: 0.38 Lm: 6.828 (6.828) Lt: 6.141 (6.141) Accm: 2.67 (2.67) Acct: 4.56 (4.56) proj_loss: -0.5714 (-0.5714) time: 0.3536 data: 0.0003 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.38 Lm: 6.669 (6.669) Lt: 5.948 (5.948) Accm: 2.99 (2.99) Acct: 4.72 (4.72) proj_loss: -0.5858 (-0.5858) time: 0.3544 data: 0.0003 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.38 Lm: 6.776 (6.776) Lt: 6.103 (6.103) Accm: 2.75 (2.75) Acct: 4.32 (4.32) proj_loss: -0.5973 (-0.5973) time: 0.3544 data: 0.0003 [11-23 12:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:50 tlr: 0.00017 tnm: 0.38 Lm: 6.847 (6.847) Lt: 6.156 (6.156) Accm: 2.40 (2.40) Acct: 3.89 (3.89) proj_loss: -0.5875 (-0.5875) time: 0.3538 data: 0.0003 [11-23 12:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:08:00 tlr: 0.00017 tnm: 0.38 Lm: 6.776 (6.776) Lt: 6.074 (6.074) Accm: 2.63 (2.63) Acct: 4.31 (4.31) proj_loss: -0.5933 (-0.5933) time: 0.3652 data: 0.0003 [11-23 12:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:08:00 tlr: 0.00017 tnm: 0.38 Lm: 6.713 (6.713) Lt: 6.015 (6.015) Accm: 2.94 (2.94) Acct: 4.78 (4.78) proj_loss: -0.5703 (-0.5703) time: 0.3653 data: 0.0003 [11-23 12:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:08:00 tlr: 0.00017 tnm: 0.38 Lm: 6.721 (6.721) Lt: 6.010 (6.010) Accm: 2.73 (2.73) Acct: 4.24 (4.24) proj_loss: -0.5748 (-0.5748) time: 0.3653 data: 0.0003 [11-23 12:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:08:00 tlr: 0.00017 tnm: 0.38 Lm: 6.800 (6.800) Lt: 6.101 (6.101) Accm: 2.58 (2.58) Acct: 4.02 (4.02) proj_loss: -0.5813 (-0.5813) time: 0.3653 data: 0.0003 [11-23 12:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:11 tlr: 0.00017 tnm: 0.36 Lm: 6.776 (6.789) Lt: 6.098 (6.095) Accm: 2.72 (2.63) Acct: 4.27 (4.10) proj_loss: -0.5832 (-0.5819) time: 0.3620 data: 0.0003 [11-23 12:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:11 tlr: 0.00017 tnm: 0.36 Lm: 6.828 (6.793) Lt: 6.141 (6.126) Accm: 2.67 (2.66) Acct: 4.56 (4.23) proj_loss: -0.5714 (-0.5721) time: 0.3620 data: 0.0003 [11-23 12:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:11 tlr: 0.00017 tnm: 0.36 Lm: 6.847 (6.803) Lt: 6.106 (6.085) Accm: 2.48 (2.58) Acct: 3.91 (4.18) proj_loss: -0.5875 (-0.5836) time: 0.3620 data: 0.0003 [11-23 12:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:11 tlr: 0.00017 tnm: 0.36 Lm: 6.773 (6.778) Lt: 6.073 (6.081) Accm: 2.47 (2.57) Acct: 3.77 (3.95) proj_loss: -0.5858 (-0.5785) time: 0.3620 data: 0.0003 [11-23 12:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.36 Lm: 6.833 (6.823) Lt: 6.147 (6.140) Accm: 2.36 (2.46) Acct: 3.58 (3.81) proj_loss: -0.5820 (-0.5784) time: 0.3618 data: 0.0003 [11-23 12:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.36 Lm: 6.834 (6.805) Lt: 6.147 (6.133) Accm: 2.58 (2.61) Acct: 4.25 (4.16) proj_loss: -0.5737 (-0.5738) time: 0.3619 data: 0.0002 [11-23 12:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.36 Lm: 6.852 (6.836) Lt: 6.131 (6.110) Accm: 2.44 (2.51) Acct: 3.93 (4.12) proj_loss: -0.5759 (-0.5785) time: 0.3619 data: 0.0003 [11-23 12:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.36 Lm: 6.800 (6.832) Lt: 6.101 (6.150) Accm: 2.57 (2.53) Acct: 3.99 (3.92) proj_loss: -0.5790 (-0.5801) time: 0.3619 data: 0.0003 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.776 (6.802) Lt: 6.098 (6.120) Accm: 2.72 (2.58) Acct: 4.03 (3.94) proj_loss: -0.5747 (-0.5785) time: 0.3655 data: 0.0018 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:15 (0.368 s / it) [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.773 (6.811) Lt: 6.073 (6.125) Accm: 2.47 (2.49) Acct: 3.77 (3.88) proj_loss: -0.5812 (-0.5790) time: 0.3655 data: 0.0019 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.847 (6.831) Lt: 6.129 (6.114) Accm: 2.40 (2.46) Acct: 3.91 (3.97) proj_loss: -0.5775 (-0.5783) time: 0.3655 data: 0.0014 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.828 (6.801) Lt: 6.141 (6.121) Accm: 2.62 (2.61) Acct: 3.98 (4.12) proj_loss: -0.5759 (-0.5764) time: 0.3655 data: 0.0016 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:15 (0.368 s / it) [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:15 (0.368 s / it) [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:15 (0.368 s / it) [11-23 12:56:57] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.788 (6.811), Lt: 6.096 (6.122), Acc m&t: 2.65 4.14, Remain: 1 day, 14:29:20, Finish: 2024-11-24 11:26 [11-23 12:56:57] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.788 (6.811), Lt: 6.096 (6.122), Acc m&t: 2.65 4.14, Remain: 1 day, 14:28:59, Finish: 2024-11-24 11:25 [11-23 12:56:57] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.788 (6.811), Lt: 6.096 (6.122), Acc m&t: 2.65 4.14, Remain: 1 day, 14:28:25, Finish: 2024-11-24 11:25 [11-23 12:56:57] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.788 (6.811), Lt: 6.096 (6.122), Acc m&t: 2.65 4.14, Remain: 1 day, 14:28:56, Finish: 2024-11-24 11:25 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:09:33 tlr: 0.00017 tnm: 0.38 Lm: 6.690 (6.690) Lt: 6.002 (6.002) Accm: 3.04 (3.04) Acct: 4.42 (4.42) proj_loss: -0.5990 (-0.5990) time: 0.3435 data: 0.0003 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:09:32 tlr: 0.00017 tnm: 0.38 Lm: 6.669 (6.669) Lt: 5.945 (5.945) Accm: 3.23 (3.23) Acct: 5.35 (5.35) proj_loss: -0.5870 (-0.5870) time: 0.3432 data: 0.0003 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:09:34 tlr: 0.00017 tnm: 0.38 Lm: 6.832 (6.832) Lt: 6.124 (6.124) Accm: 2.84 (2.84) Acct: 4.44 (4.44) proj_loss: -0.5978 (-0.5978) time: 0.3441 data: 0.0004 [11-23 12:56:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:09:34 tlr: 0.00017 tnm: 0.38 Lm: 6.998 (6.998) Lt: 6.350 (6.350) Accm: 2.21 (2.21) Acct: 3.51 (3.51) proj_loss: -0.5951 (-0.5951) time: 0.3444 data: 0.0003 [11-23 12:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.38 Lm: 6.899 (6.899) Lt: 6.210 (6.210) Accm: 2.31 (2.31) Acct: 3.63 (3.63) proj_loss: -0.5915 (-0.5915) time: 0.3663 data: 0.0003 [11-23 12:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.38 Lm: 6.789 (6.789) Lt: 6.129 (6.129) Accm: 2.75 (2.75) Acct: 4.15 (4.15) proj_loss: -0.5821 (-0.5821) time: 0.3663 data: 0.0003 [11-23 12:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.38 Lm: 6.702 (6.702) Lt: 5.959 (5.959) Accm: 2.97 (2.97) Acct: 4.86 (4.86) proj_loss: -0.5867 (-0.5867) time: 0.3663 data: 0.0003 [11-23 12:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:34 tlr: 0.00017 tnm: 0.38 Lm: 6.853 (6.853) Lt: 6.153 (6.153) Accm: 2.65 (2.65) Acct: 4.12 (4.12) proj_loss: -0.5890 (-0.5890) time: 0.3663 data: 0.0003 [11-23 13:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.37 Lm: 6.832 (6.802) Lt: 6.124 (6.114) Accm: 2.80 (2.70) Acct: 4.24 (4.16) proj_loss: -0.5802 (-0.5848) time: 0.3657 data: 0.0002 [11-23 13:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.37 Lm: 6.774 (6.784) Lt: 6.060 (6.106) Accm: 2.62 (2.70) Acct: 4.12 (4.14) proj_loss: -0.5894 (-0.5846) time: 0.3657 data: 0.0003 [11-23 13:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.37 Lm: 6.921 (6.906) Lt: 6.274 (6.232) Accm: 2.34 (2.32) Acct: 3.72 (3.66) proj_loss: -0.5879 (-0.5877) time: 0.3657 data: 0.0003 [11-23 13:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.37 Lm: 6.736 (6.772) Lt: 5.974 (6.070) Accm: 2.71 (2.80) Acct: 4.37 (4.49) proj_loss: -0.5864 (-0.5835) time: 0.3657 data: 0.0003 [11-23 13:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.786 (6.788) Lt: 6.054 (6.086) Accm: 2.58 (2.70) Acct: 4.09 (4.32) proj_loss: -0.5818 (-0.5816) time: 0.3612 data: 0.0003 [11-23 13:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.861 (6.874) Lt: 6.189 (6.199) Accm: 2.37 (2.39) Acct: 3.74 (3.75) proj_loss: -0.5840 (-0.5843) time: 0.3612 data: 0.0002 [11-23 13:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.768 (6.778) Lt: 6.038 (6.084) Accm: 2.66 (2.70) Acct: 4.27 (4.21) proj_loss: -0.5893 (-0.5857) time: 0.3612 data: 0.0002 [11-23 13:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.39 Lm: 6.831 (6.809) Lt: 6.153 (6.134) Accm: 2.63 (2.60) Acct: 4.01 (3.96) proj_loss: -0.5890 (-0.5884) time: 0.3612 data: 0.0003 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.832 (6.823) Lt: 6.166 (6.141) Accm: 2.46 (2.56) Acct: 3.98 (3.96) proj_loss: -0.5941 (-0.5895) time: 0.3651 data: 0.0019 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.774 (6.786) Lt: 6.060 (6.097) Accm: 2.62 (2.67) Acct: 4.12 (4.16) proj_loss: -0.5891 (-0.5863) time: 0.3651 data: 0.0021 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.817 (6.863) Lt: 6.106 (6.181) Accm: 2.40 (2.44) Acct: 3.75 (3.80) proj_loss: -0.5801 (-0.5817) time: 0.3651 data: 0.0017 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.818 (6.794) Lt: 6.059 (6.081) Accm: 2.56 (2.68) Acct: 3.96 (4.25) proj_loss: -0.5772 (-0.5804) time: 0.3651 data: 0.0016 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:07:03] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.788 (6.806), Lt: 6.096 (6.115), Acc m&t: 2.65 4.14, Remain: 1 day, 14:22:21, Finish: 2024-11-24 11:29 [11-23 13:07:03] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.788 (6.806), Lt: 6.096 (6.115), Acc m&t: 2.65 4.14, Remain: 1 day, 14:21:34, Finish: 2024-11-24 11:28 [11-23 13:07:03] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.788 (6.806), Lt: 6.096 (6.115), Acc m&t: 2.65 4.14, Remain: 1 day, 14:23:14, Finish: 2024-11-24 11:30 [11-23 13:07:03] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.788 (6.806), Lt: 6.096 (6.115), Acc m&t: 2.65 4.14, Remain: 1 day, 14:21:35, Finish: 2024-11-24 11:28 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:09:40 tlr: 0.00017 tnm: 0.37 Lm: 6.888 (6.888) Lt: 6.242 (6.242) Accm: 2.36 (2.36) Acct: 3.39 (3.39) proj_loss: -0.6008 (-0.6008) time: 0.3476 data: 0.0004 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:09:40 tlr: 0.00017 tnm: 0.37 Lm: 6.704 (6.704) Lt: 6.014 (6.014) Accm: 2.95 (2.95) Acct: 4.30 (4.30) proj_loss: -0.6001 (-0.6001) time: 0.3481 data: 0.0003 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:09:40 tlr: 0.00017 tnm: 0.37 Lm: 6.971 (6.971) Lt: 6.215 (6.215) Accm: 2.18 (2.18) Acct: 3.58 (3.58) proj_loss: -0.5540 (-0.5540) time: 0.3481 data: 0.0004 [11-23 13:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:09:39 tlr: 0.00017 tnm: 0.37 Lm: 6.941 (6.941) Lt: 6.251 (6.251) Accm: 2.29 (2.29) Acct: 3.68 (3.68) proj_loss: -0.5856 (-0.5856) time: 0.3474 data: 0.0004 [11-23 13:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.903 (6.903) Lt: 6.224 (6.224) Accm: 2.47 (2.47) Acct: 3.94 (3.94) proj_loss: -0.5907 (-0.5907) time: 0.3664 data: 0.0003 [11-23 13:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.738 (6.738) Lt: 6.037 (6.037) Accm: 2.92 (2.92) Acct: 4.39 (4.39) proj_loss: -0.5960 (-0.5960) time: 0.3664 data: 0.0002 [11-23 13:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.904 (6.904) Lt: 6.232 (6.232) Accm: 2.33 (2.33) Acct: 3.49 (3.49) proj_loss: -0.5891 (-0.5891) time: 0.3664 data: 0.0003 [11-23 13:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.809 (6.809) Lt: 6.070 (6.070) Accm: 2.64 (2.64) Acct: 4.28 (4.28) proj_loss: -0.5693 (-0.5693) time: 0.3664 data: 0.0003 [11-23 13:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.35 Lm: 6.790 (6.803) Lt: 6.102 (6.081) Accm: 2.62 (2.63) Acct: 4.27 (4.28) proj_loss: -0.5775 (-0.5720) time: 0.3610 data: 0.0003 [11-23 13:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.35 Lm: 6.888 (6.864) Lt: 6.222 (6.180) Accm: 2.36 (2.43) Acct: 3.58 (3.72) proj_loss: -0.5964 (-0.5916) time: 0.3610 data: 0.0003 [11-23 13:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.35 Lm: 6.864 (6.762) Lt: 6.198 (6.066) Accm: 2.65 (2.86) Acct: 4.20 (4.52) proj_loss: -0.5907 (-0.5907) time: 0.3610 data: 0.0003 [11-23 13:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:02 tlr: 0.00017 tnm: 0.35 Lm: 6.740 (6.739) Lt: 6.032 (6.035) Accm: 2.95 (3.01) Acct: 4.48 (4.57) proj_loss: -0.5918 (-0.5888) time: 0.3610 data: 0.0003 [11-23 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.39 Lm: 6.756 (6.800) Lt: 6.046 (6.127) Accm: 2.92 (2.81) Acct: 4.39 (4.27) proj_loss: -0.5869 (-0.5871) time: 0.4527 data: 0.0003 [11-23 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.39 Lm: 6.854 (6.853) Lt: 6.183 (6.171) Accm: 2.45 (2.45) Acct: 3.74 (3.76) proj_loss: -0.5914 (-0.5903) time: 0.4527 data: 0.0003 [11-23 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.39 Lm: 6.876 (6.843) Lt: 6.158 (6.135) Accm: 2.40 (2.51) Acct: 3.93 (4.06) proj_loss: -0.5778 (-0.5736) time: 0.4527 data: 0.0003 [11-23 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:34 tlr: 0.00017 tnm: 0.39 Lm: 6.903 (6.812) Lt: 6.224 (6.125) Accm: 2.52 (2.74) Acct: 3.97 (4.33) proj_loss: -0.5882 (-0.5856) time: 0.4527 data: 0.0003 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.864 (6.801) Lt: 6.198 (6.110) Accm: 2.65 (2.75) Acct: 4.20 (4.34) proj_loss: -0.5856 (-0.5842) time: 0.3667 data: 0.0014 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:28 (0.376 s / it) [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.796 (6.833) Lt: 6.102 (6.120) Accm: 2.62 (2.53) Acct: 4.27 (4.14) proj_loss: -0.5775 (-0.5743) time: 0.3667 data: 0.0020 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.820 (6.839) Lt: 6.144 (6.155) Accm: 2.54 (2.51) Acct: 3.89 (3.88) proj_loss: -0.5937 (-0.5910) time: 0.3667 data: 0.0019 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.772 (6.802) Lt: 6.060 (6.133) Accm: 2.89 (2.78) Acct: 4.30 (4.16) proj_loss: -0.5899 (-0.5876) time: 0.3667 data: 0.0020 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:28 (0.376 s / it) [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:28 (0.376 s / it) [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:28 (0.376 s / it) [11-23 13:17:31] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.788 (6.814), Lt: 6.096 (6.129), Acc m&t: 2.65 4.14, Remain: 1 day, 14:05:11, Finish: 2024-11-24 11:22 [11-23 13:17:31] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.788 (6.814), Lt: 6.096 (6.129), Acc m&t: 2.65 4.14, Remain: 1 day, 14:06:22, Finish: 2024-11-24 11:23 [11-23 13:17:31] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.788 (6.814), Lt: 6.096 (6.129), Acc m&t: 2.65 4.14, Remain: 1 day, 14:06:55, Finish: 2024-11-24 11:24 [11-23 13:17:31] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.788 (6.814), Lt: 6.096 (6.129), Acc m&t: 2.65 4.14, Remain: 1 day, 14:07:10, Finish: 2024-11-24 11:24 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:10:06 tlr: 0.00017 tnm: 0.37 Lm: 6.805 (6.805) Lt: 6.139 (6.139) Accm: 2.44 (2.44) Acct: 3.89 (3.89) proj_loss: -0.6057 (-0.6057) time: 0.3636 data: 0.0004 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.37 Lm: 6.809 (6.809) Lt: 6.078 (6.078) Accm: 2.84 (2.84) Acct: 4.48 (4.48) proj_loss: -0.5811 (-0.5811) time: 0.3639 data: 0.0003 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:10:06 tlr: 0.00017 tnm: 0.37 Lm: 6.843 (6.843) Lt: 6.168 (6.168) Accm: 2.26 (2.26) Acct: 3.48 (3.48) proj_loss: -0.5707 (-0.5707) time: 0.3631 data: 0.0003 [11-23 13:17:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.37 Lm: 6.635 (6.635) Lt: 5.917 (5.917) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: -0.5806 (-0.5806) time: 0.3640 data: 0.0004 [11-23 13:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:47 tlr: 0.00017 tnm: 0.35 Lm: 6.759 (6.759) Lt: 6.071 (6.071) Accm: 2.58 (2.58) Acct: 3.88 (3.88) proj_loss: -0.5826 (-0.5826) time: 0.3634 data: 0.0003 [11-23 13:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:47 tlr: 0.00017 tnm: 0.35 Lm: 6.794 (6.794) Lt: 6.110 (6.110) Accm: 2.56 (2.56) Acct: 3.95 (3.95) proj_loss: -0.5645 (-0.5645) time: 0.3634 data: 0.0003 [11-23 13:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:47 tlr: 0.00017 tnm: 0.35 Lm: 6.740 (6.740) Lt: 6.037 (6.037) Accm: 2.67 (2.67) Acct: 4.23 (4.23) proj_loss: -0.5939 (-0.5939) time: 0.3634 data: 0.0003 [11-23 13:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:47 tlr: 0.00017 tnm: 0.35 Lm: 6.876 (6.876) Lt: 6.175 (6.175) Accm: 2.59 (2.59) Acct: 4.01 (4.01) proj_loss: -0.5697 (-0.5697) time: 0.3634 data: 0.0002 [11-23 13:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.37 Lm: 6.828 (6.860) Lt: 6.100 (6.150) Accm: 2.48 (2.55) Acct: 4.25 (4.09) proj_loss: -0.5811 (-0.5777) time: 0.3625 data: 0.0003 [11-23 13:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.37 Lm: 6.771 (6.786) Lt: 6.053 (6.086) Accm: 2.80 (2.64) Acct: 4.42 (4.14) proj_loss: -0.5707 (-0.5681) time: 0.3625 data: 0.0003 [11-23 13:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.37 Lm: 6.716 (6.732) Lt: 6.008 (6.027) Accm: 2.83 (2.72) Acct: 4.30 (4.25) proj_loss: -0.6043 (-0.5973) time: 0.3625 data: 0.0003 [11-23 13:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.37 Lm: 6.883 (6.813) Lt: 6.225 (6.138) Accm: 2.48 (2.42) Acct: 3.63 (3.64) proj_loss: -0.5844 (-0.5832) time: 0.3625 data: 0.0003 [11-23 13:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.36 Lm: 6.759 (6.764) Lt: 6.078 (6.087) Accm: 2.58 (2.59) Acct: 3.88 (3.88) proj_loss: -0.5845 (-0.5839) time: 0.3636 data: 0.0005 [11-23 13:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.36 Lm: 6.801 (6.798) Lt: 6.085 (6.094) Accm: 2.72 (2.64) Acct: 4.29 (4.15) proj_loss: -0.5730 (-0.5754) time: 0.3636 data: 0.0003 [11-23 13:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.36 Lm: 6.868 (6.872) Lt: 6.160 (6.168) Accm: 2.44 (2.51) Acct: 4.10 (4.05) proj_loss: -0.5821 (-0.5791) time: 0.3636 data: 0.0003 [11-23 13:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.36 Lm: 6.757 (6.748) Lt: 6.053 (6.045) Accm: 2.73 (2.70) Acct: 4.18 (4.21) proj_loss: -0.5953 (-0.5946) time: 0.3636 data: 0.0008 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.740 (6.747) Lt: 6.064 (6.049) Accm: 2.75 (2.71) Acct: 4.22 (4.21) proj_loss: -0.5910 (-0.5939) time: 0.3637 data: 0.0014 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:09 (0.365 s / it) [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.771 (6.784) Lt: 6.053 (6.079) Accm: 2.80 (2.70) Acct: 4.42 (4.22) proj_loss: -0.5707 (-0.5733) time: 0.3637 data: 0.0016 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.846 (6.867) Lt: 6.188 (6.172) Accm: 2.47 (2.50) Acct: 4.10 (4.06) proj_loss: -0.5811 (-0.5792) time: 0.3637 data: 0.0016 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.801 (6.771) Lt: 6.099 (6.089) Accm: 2.55 (2.58) Acct: 4.08 (3.92) proj_loss: -0.5847 (-0.5876) time: 0.3637 data: 0.0017 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:09 (0.365 s / it) [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:09 (0.365 s / it) [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:09 (0.365 s / it) [11-23 13:27:41] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 13:40:52, Finish: 2024-11-24 11:08 [11-23 13:27:41] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 13:41:27, Finish: 2024-11-24 11:09 [11-23 13:27:41] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 13:41:21, Finish: 2024-11-24 11:09 [11-23 13:27:41] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.788 (6.801), Lt: 6.096 (6.109), Acc m&t: 2.65 4.14, Remain: 1 day, 13:41:10, Finish: 2024-11-24 11:08 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:33 tlr: 0.00017 tnm: 0.36 Lm: 6.820 (6.820) Lt: 6.134 (6.134) Accm: 2.72 (2.72) Acct: 4.36 (4.36) proj_loss: -0.5675 (-0.5675) time: 0.3434 data: 0.0004 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:33 tlr: 0.00017 tnm: 0.36 Lm: 6.664 (6.664) Lt: 5.958 (5.958) Accm: 2.94 (2.94) Acct: 4.58 (4.58) proj_loss: -0.6003 (-0.6003) time: 0.3435 data: 0.0004 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:33 tlr: 0.00017 tnm: 0.36 Lm: 6.776 (6.776) Lt: 6.112 (6.112) Accm: 2.86 (2.86) Acct: 4.49 (4.49) proj_loss: -0.5962 (-0.5962) time: 0.3439 data: 0.0004 [11-23 13:27:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:34 tlr: 0.00017 tnm: 0.36 Lm: 6.728 (6.728) Lt: 5.985 (5.985) Accm: 2.78 (2.78) Acct: 4.37 (4.37) proj_loss: -0.5750 (-0.5750) time: 0.3444 data: 0.0004 [11-23 13:30:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.753 (6.753) Lt: 6.056 (6.056) Accm: 2.63 (2.63) Acct: 4.00 (4.00) proj_loss: -0.5752 (-0.5752) time: 0.3603 data: 0.0003 [11-23 13:30:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.759 (6.759) Lt: 6.059 (6.059) Accm: 2.82 (2.82) Acct: 4.46 (4.46) proj_loss: -0.5809 (-0.5809) time: 0.3603 data: 0.0003 [11-23 13:30:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.845 (6.845) Lt: 6.184 (6.184) Accm: 2.54 (2.54) Acct: 3.93 (3.93) proj_loss: -0.5908 (-0.5908) time: 0.3603 data: 0.0003 [11-23 13:30:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.717 (6.717) Lt: 6.013 (6.013) Accm: 2.86 (2.86) Acct: 4.51 (4.51) proj_loss: -0.6027 (-0.6027) time: 0.3603 data: 0.0003 [11-23 13:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.692 (6.709) Lt: 5.986 (6.004) Accm: 2.79 (2.83) Acct: 4.51 (4.51) proj_loss: -0.6003 (-0.5920) time: 0.3636 data: 0.0005 [11-23 13:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.713 (6.744) Lt: 6.027 (6.048) Accm: 2.86 (2.83) Acct: 4.39 (4.44) proj_loss: -0.5943 (-0.5865) time: 0.3636 data: 0.0003 [11-23 13:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.776 (6.781) Lt: 6.112 (6.087) Accm: 2.86 (2.76) Acct: 4.49 (4.29) proj_loss: -0.5855 (-0.5838) time: 0.3636 data: 0.0002 [11-23 13:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.778 (6.766) Lt: 6.127 (6.091) Accm: 2.53 (2.60) Acct: 3.93 (3.98) proj_loss: -0.5755 (-0.5801) time: 0.3636 data: 0.0003 [11-23 13:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.785 (6.778) Lt: 6.128 (6.100) Accm: 2.55 (2.59) Acct: 3.85 (3.93) proj_loss: -0.5752 (-0.5787) time: 0.3652 data: 0.0002 [11-23 13:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.731 (6.739) Lt: 6.027 (6.039) Accm: 2.78 (2.76) Acct: 4.48 (4.42) proj_loss: -0.5936 (-0.5907) time: 0.3652 data: 0.0002 [11-23 13:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.731 (6.745) Lt: 6.050 (6.055) Accm: 2.80 (2.81) Acct: 4.37 (4.41) proj_loss: -0.5919 (-0.5872) time: 0.3652 data: 0.0003 [11-23 13:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.815 (6.799) Lt: 6.128 (6.101) Accm: 2.66 (2.68) Acct: 4.26 (4.22) proj_loss: -0.5908 (-0.5892) time: 0.3652 data: 0.0003 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.776 (6.790) Lt: 6.112 (6.086) Accm: 2.60 (2.66) Acct: 4.03 (4.17) proj_loss: -0.5855 (-0.5850) time: 0.3632 data: 0.0017 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.717 (6.739) Lt: 6.027 (6.045) Accm: 2.86 (2.84) Acct: 4.39 (4.49) proj_loss: -0.5895 (-0.5872) time: 0.3632 data: 0.0015 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.771 (6.749) Lt: 6.016 (6.034) Accm: 2.78 (2.70) Acct: 4.44 (4.33) proj_loss: -0.5912 (-0.5908) time: 0.3632 data: 0.0015 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.778 (6.770) Lt: 6.127 (6.093) Accm: 2.56 (2.65) Acct: 3.93 (4.02) proj_loss: -0.5755 (-0.5832) time: 0.3632 data: 0.0016 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:05 (0.363 s / it) [11-23 13:37:46] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.104), Acc m&t: 2.65 4.14, Remain: 1 day, 13:37:34, Finish: 2024-11-24 11:15 [11-23 13:37:46] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.104), Acc m&t: 2.65 4.14, Remain: 1 day, 13:35:28, Finish: 2024-11-24 11:13 [11-23 13:37:46] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.104), Acc m&t: 2.65 4.14, Remain: 1 day, 13:35:37, Finish: 2024-11-24 11:13 [11-23 13:37:46] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.104), Acc m&t: 2.65 4.14, Remain: 1 day, 13:36:12, Finish: 2024-11-24 11:13 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:47 tlr: 0.00016 tnm: 0.36 Lm: 6.862 (6.862) Lt: 6.188 (6.188) Accm: 2.33 (2.33) Acct: 3.58 (3.58) proj_loss: -0.5508 (-0.5508) time: 0.3522 data: 0.0003 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:48 tlr: 0.00016 tnm: 0.36 Lm: 6.858 (6.858) Lt: 6.136 (6.136) Accm: 2.45 (2.45) Acct: 3.70 (3.70) proj_loss: -0.5786 (-0.5786) time: 0.3524 data: 0.0003 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:47 tlr: 0.00016 tnm: 0.36 Lm: 6.747 (6.747) Lt: 6.021 (6.021) Accm: 2.66 (2.66) Acct: 4.12 (4.12) proj_loss: -0.5860 (-0.5860) time: 0.3520 data: 0.0004 [11-23 13:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:52 tlr: 0.00016 tnm: 0.36 Lm: 6.722 (6.722) Lt: 6.060 (6.060) Accm: 2.70 (2.70) Acct: 4.12 (4.12) proj_loss: -0.6004 (-0.6004) time: 0.3551 data: 0.0003 [11-23 13:40:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.744 (6.744) Lt: 6.084 (6.084) Accm: 2.60 (2.60) Acct: 3.93 (3.93) proj_loss: -0.5985 (-0.5985) time: 0.3612 data: 0.0003 [11-23 13:40:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.847 (6.847) Lt: 6.158 (6.158) Accm: 2.40 (2.40) Acct: 3.70 (3.70) proj_loss: -0.5662 (-0.5662) time: 0.3611 data: 0.0003 [11-23 13:40:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.795 (6.795) Lt: 6.105 (6.105) Accm: 2.61 (2.61) Acct: 4.12 (4.12) proj_loss: -0.5943 (-0.5943) time: 0.3611 data: 0.0003 [11-23 13:40:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.861 (6.861) Lt: 6.169 (6.169) Accm: 2.51 (2.51) Acct: 3.81 (3.81) proj_loss: -0.5887 (-0.5887) time: 0.3611 data: 0.0003 [11-23 13:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:03 tlr: 0.00016 tnm: 0.39 Lm: 6.864 (6.878) Lt: 6.202 (6.192) Accm: 2.45 (2.46) Acct: 3.70 (3.75) proj_loss: -0.5843 (-0.5872) time: 0.3606 data: 0.0002 [11-23 13:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:03 tlr: 0.00016 tnm: 0.39 Lm: 6.847 (6.847) Lt: 6.150 (6.156) Accm: 2.46 (2.43) Acct: 3.82 (3.75) proj_loss: -0.5674 (-0.5666) time: 0.3606 data: 0.0003 [11-23 13:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.39 Lm: 6.767 (6.776) Lt: 6.108 (6.099) Accm: 2.50 (2.55) Acct: 3.93 (3.93) proj_loss: -0.5966 (-0.5951) time: 0.3606 data: 0.0002 [11-23 13:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:03 tlr: 0.00016 tnm: 0.39 Lm: 6.843 (6.813) Lt: 6.188 (6.144) Accm: 2.56 (2.56) Acct: 4.12 (3.99) proj_loss: -0.6004 (-0.5963) time: 0.3606 data: 0.0003 [11-23 13:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:35 tlr: 0.00016 tnm: 0.39 Lm: 6.795 (6.775) Lt: 6.105 (6.103) Accm: 2.61 (2.70) Acct: 4.12 (4.15) proj_loss: -0.5932 (-0.5895) time: 0.4105 data: 0.0003 [11-23 13:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:35 tlr: 0.00016 tnm: 0.39 Lm: 6.840 (6.803) Lt: 6.139 (6.110) Accm: 2.48 (2.58) Acct: 3.84 (3.97) proj_loss: -0.5745 (-0.5741) time: 0.4104 data: 0.0003 [11-23 13:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:35 tlr: 0.00016 tnm: 0.39 Lm: 6.744 (6.736) Lt: 6.084 (6.047) Accm: 2.60 (2.63) Acct: 4.02 (4.07) proj_loss: -0.5925 (-0.5917) time: 0.4105 data: 0.0002 [11-23 13:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:35 tlr: 0.00016 tnm: 0.39 Lm: 6.888 (6.893) Lt: 6.219 (6.203) Accm: 2.45 (2.45) Acct: 3.81 (3.81) proj_loss: -0.5836 (-0.5861) time: 0.4105 data: 0.0002 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.864 (6.864) Lt: 6.202 (6.168) Accm: 2.45 (2.51) Acct: 3.93 (3.88) proj_loss: -0.5829 (-0.5839) time: 0.4112 data: 0.0020 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:29 (0.377 s / it) [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.722 (6.710) Lt: 6.060 (6.018) Accm: 2.70 (2.71) Acct: 4.12 (4.23) proj_loss: -0.5917 (-0.5917) time: 0.4112 data: 0.0019 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.833 (6.790) Lt: 6.128 (6.105) Accm: 2.49 (2.66) Acct: 3.86 (4.10) proj_loss: -0.5815 (-0.5786) time: 0.4112 data: 0.0016 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.805 (6.781) Lt: 6.094 (6.101) Accm: 2.62 (2.69) Acct: 4.12 (4.17) proj_loss: -0.5860 (-0.5829) time: 0.4112 data: 0.0021 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:29 (0.377 s / it) [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:29 (0.377 s / it) [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:29 (0.377 s / it) [11-23 13:48:15] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.788 (6.795), Lt: 6.096 (6.101), Acc m&t: 2.65 4.14, Remain: 1 day, 13:34:09, Finish: 2024-11-24 11:22 [11-23 13:48:15] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.788 (6.795), Lt: 6.096 (6.101), Acc m&t: 2.65 4.14, Remain: 1 day, 13:33:27, Finish: 2024-11-24 11:21 [11-23 13:48:15] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.788 (6.795), Lt: 6.096 (6.101), Acc m&t: 2.65 4.14, Remain: 1 day, 13:33:53, Finish: 2024-11-24 11:22 [11-23 13:48:15] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.788 (6.795), Lt: 6.096 (6.101), Acc m&t: 2.65 4.14, Remain: 1 day, 13:34:20, Finish: 2024-11-24 11:22 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:36 tlr: 0.00016 tnm: 0.34 Lm: 6.746 (6.746) Lt: 6.024 (6.024) Accm: 2.63 (2.63) Acct: 3.98 (3.98) proj_loss: -0.5753 (-0.5753) time: 0.3454 data: 0.0003 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:38 tlr: 0.00016 tnm: 0.34 Lm: 6.627 (6.627) Lt: 5.884 (5.884) Accm: 3.20 (3.20) Acct: 5.13 (5.13) proj_loss: -0.5784 (-0.5784) time: 0.3467 data: 0.0004 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:37 tlr: 0.00016 tnm: 0.34 Lm: 6.874 (6.874) Lt: 6.203 (6.203) Accm: 2.42 (2.42) Acct: 3.77 (3.77) proj_loss: -0.5697 (-0.5697) time: 0.3460 data: 0.0004 [11-23 13:48:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:39 tlr: 0.00016 tnm: 0.34 Lm: 6.908 (6.908) Lt: 6.235 (6.235) Accm: 2.37 (2.37) Acct: 3.89 (3.89) proj_loss: -0.5832 (-0.5832) time: 0.3471 data: 0.0004 [11-23 13:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:42 tlr: 0.00016 tnm: 0.37 Lm: 6.847 (6.847) Lt: 6.185 (6.185) Accm: 2.40 (2.40) Acct: 3.93 (3.93) proj_loss: -0.5830 (-0.5830) time: 0.3623 data: 0.0003 [11-23 13:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:42 tlr: 0.00016 tnm: 0.37 Lm: 6.769 (6.769) Lt: 6.074 (6.074) Accm: 2.64 (2.64) Acct: 4.06 (4.06) proj_loss: -0.5827 (-0.5827) time: 0.3623 data: 0.0003 [11-23 13:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:42 tlr: 0.00016 tnm: 0.37 Lm: 6.713 (6.713) Lt: 5.990 (5.990) Accm: 2.92 (2.92) Acct: 4.70 (4.70) proj_loss: -0.5806 (-0.5806) time: 0.3623 data: 0.0003 [11-23 13:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:42 tlr: 0.00016 tnm: 0.37 Lm: 6.874 (6.874) Lt: 6.194 (6.194) Accm: 2.37 (2.37) Acct: 3.58 (3.58) proj_loss: -0.5686 (-0.5686) time: 0.3623 data: 0.0003 [11-23 13:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.35 Lm: 6.874 (6.856) Lt: 6.186 (6.165) Accm: 2.42 (2.46) Acct: 3.77 (3.82) proj_loss: -0.5697 (-0.5754) time: 0.3653 data: 0.0003 [11-23 13:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.35 Lm: 6.761 (6.767) Lt: 6.058 (6.068) Accm: 2.63 (2.63) Acct: 4.13 (4.09) proj_loss: -0.5757 (-0.5803) time: 0.3653 data: 0.0002 [11-23 13:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.35 Lm: 6.676 (6.701) Lt: 5.975 (5.985) Accm: 2.64 (2.81) Acct: 4.27 (4.47) proj_loss: -0.5828 (-0.5853) time: 0.3653 data: 0.0003 [11-23 13:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.35 Lm: 6.834 (6.843) Lt: 6.135 (6.166) Accm: 2.43 (2.49) Acct: 3.96 (3.94) proj_loss: -0.5832 (-0.5851) time: 0.3653 data: 0.0003 [11-23 13:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.37 Lm: 6.833 (6.840) Lt: 6.152 (6.167) Accm: 2.47 (2.49) Acct: 3.93 (3.90) proj_loss: -0.5830 (-0.5824) time: 0.3632 data: 0.0003 [11-23 13:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.37 Lm: 6.737 (6.728) Lt: 6.030 (6.010) Accm: 2.72 (2.81) Acct: 4.25 (4.41) proj_loss: -0.5806 (-0.5781) time: 0.3632 data: 0.0003 [11-23 13:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.37 Lm: 6.777 (6.773) Lt: 6.066 (6.070) Accm: 2.64 (2.65) Acct: 4.14 (4.18) proj_loss: -0.5756 (-0.5791) time: 0.3632 data: 0.0003 [11-23 13:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.37 Lm: 6.847 (6.833) Lt: 6.146 (6.140) Accm: 2.49 (2.49) Acct: 3.92 (3.88) proj_loss: -0.5775 (-0.5779) time: 0.3632 data: 0.0003 [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.820 (6.817) Lt: 6.105 (6.124) Accm: 2.57 (2.60) Acct: 4.06 (4.02) proj_loss: -0.5813 (-0.5786) time: 0.3674 data: 0.0015 [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:08 (0.365 s / it) [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.793 (6.788) Lt: 6.075 (6.089) Accm: 2.63 (2.63) Acct: 4.13 (4.12) proj_loss: -0.5755 (-0.5782) time: 0.3674 data: 0.0019 [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.834 (6.839) Lt: 6.150 (6.163) Accm: 2.43 (2.47) Acct: 3.89 (3.87) proj_loss: -0.5832 (-0.5875) time: 0.3674 data: 0.0017 [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.798 (6.763) Lt: 6.085 (6.042) Accm: 2.64 (2.72) Acct: 4.24 (4.27) proj_loss: -0.5807 (-0.5786) time: 0.3674 data: 0.0016 [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:08 (0.365 s / it) [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:08 (0.365 s / it) [11-23 13:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:08 (0.365 s / it) [11-23 14:00:32] (home/user/VAR/trainer.py, line 114)=> FID: 4.64449232585406 [11-23 14:00:32] (/home/user/VAR/train.py , line 259)=> [*] [ep129] (val 50000) Lm: 6.8017, Lt: 6.1102, Acc m&t: 2.59 4.04, Val cost: 128.64s [11-23 14:00:32] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 14:00:44] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.110), Acc m&t: 2.65 4.14, Remain: 1 day, 13:29:32, Finish: 2024-11-24 11:27 [11-23 14:00:44] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.110), Acc m&t: 2.65 4.14, Remain: 1 day, 13:29:26, Finish: 2024-11-24 11:27 [11-23 14:00:44] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.110), Acc m&t: 2.65 4.14, Remain: 1 day, 13:28:39, Finish: 2024-11-24 11:27 [11-23 14:00:44] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.788 (6.802), Lt: 6.096 (6.110), Acc m&t: 2.65 4.14, Remain: 1 day, 13:28:37, Finish: 2024-11-24 11:27 [11-23 14:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.35 Lm: 6.867 (6.867) Lt: 6.196 (6.196) Accm: 2.12 (2.12) Acct: 3.24 (3.24) proj_loss: -0.5894 (-0.5894) time: 0.3588 data: 0.0004 [11-23 14:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.35 Lm: 6.857 (6.857) Lt: 6.201 (6.201) Accm: 2.55 (2.55) Acct: 3.98 (3.98) proj_loss: -0.6110 (-0.6110) time: 0.3588 data: 0.0004 [11-23 14:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:10:00 tlr: 0.00016 tnm: 0.35 Lm: 6.840 (6.840) Lt: 6.176 (6.176) Accm: 2.38 (2.38) Acct: 3.65 (3.65) proj_loss: -0.5867 (-0.5867) time: 0.3595 data: 0.0004 [11-23 14:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:09:59 tlr: 0.00016 tnm: 0.35 Lm: 6.741 (6.741) Lt: 6.059 (6.059) Accm: 2.42 (2.42) Acct: 3.79 (3.79) proj_loss: -0.5901 (-0.5901) time: 0.3593 data: 0.0003 [11-23 14:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.37 Lm: 6.781 (6.781) Lt: 6.099 (6.099) Accm: 2.39 (2.39) Acct: 3.76 (3.76) proj_loss: -0.5989 (-0.5989) time: 0.3628 data: 0.0003 [11-23 14:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.37 Lm: 6.802 (6.802) Lt: 6.133 (6.133) Accm: 2.59 (2.59) Acct: 4.02 (4.02) proj_loss: -0.5856 (-0.5856) time: 0.3628 data: 0.0003 [11-23 14:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.37 Lm: 6.791 (6.791) Lt: 6.112 (6.112) Accm: 2.70 (2.70) Acct: 4.31 (4.31) proj_loss: -0.5886 (-0.5886) time: 0.3628 data: 0.0003 [11-23 14:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.37 Lm: 6.780 (6.780) Lt: 6.122 (6.122) Accm: 2.39 (2.39) Acct: 3.53 (3.53) proj_loss: -0.5786 (-0.5786) time: 0.3628 data: 0.0002 [11-23 14:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.796 (6.785) Lt: 6.125 (6.123) Accm: 2.57 (2.45) Acct: 3.82 (3.81) proj_loss: -0.5805 (-0.5792) time: 0.3636 data: 0.0003 [11-23 14:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.754 (6.779) Lt: 6.064 (6.096) Accm: 2.70 (2.70) Acct: 3.99 (4.21) proj_loss: -0.5969 (-0.5914) time: 0.3636 data: 0.0003 [11-23 14:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.775 (6.793) Lt: 6.091 (6.095) Accm: 2.53 (2.57) Acct: 4.12 (4.05) proj_loss: -0.5845 (-0.5833) time: 0.3636 data: 0.0003 [11-23 14:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.765 (6.775) Lt: 6.065 (6.088) Accm: 2.42 (2.55) Acct: 3.79 (3.89) proj_loss: -0.5903 (-0.5960) time: 0.3636 data: 0.0003 [11-23 14:08:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.793 (6.811) Lt: 6.103 (6.123) Accm: 2.39 (2.49) Acct: 3.76 (3.82) proj_loss: -0.5905 (-0.5947) time: 0.3643 data: 0.0003 [11-23 14:08:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.779 (6.779) Lt: 6.101 (6.111) Accm: 2.62 (2.54) Acct: 4.10 (4.02) proj_loss: -0.5849 (-0.5819) time: 0.3643 data: 0.0004 [11-23 14:08:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.807 (6.810) Lt: 6.133 (6.116) Accm: 2.50 (2.55) Acct: 4.05 (4.03) proj_loss: -0.5832 (-0.5829) time: 0.3643 data: 0.0003 [11-23 14:08:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.740 (6.765) Lt: 6.079 (6.095) Accm: 2.74 (2.72) Acct: 4.18 (4.24) proj_loss: -0.6036 (-0.5961) time: 0.3643 data: 0.0003 [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.754 (6.773) Lt: 6.094 (6.099) Accm: 2.74 (2.72) Acct: 4.27 (4.25) proj_loss: -0.5969 (-0.5960) time: 0.3649 data: 0.0022 [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.840 (6.850) Lt: 6.176 (6.161) Accm: 2.48 (2.47) Acct: 3.98 (3.90) proj_loss: -0.5819 (-0.5814) time: 0.3649 data: 0.0019 [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.765 (6.774) Lt: 6.065 (6.077) Accm: 2.42 (2.58) Acct: 3.79 (3.93) proj_loss: -0.5903 (-0.5921) time: 0.3649 data: 0.0020 [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.762 (6.761) Lt: 6.076 (6.093) Accm: 2.67 (2.63) Acct: 4.37 (4.19) proj_loss: -0.5821 (-0.5820) time: 0.3649 data: 0.0018 [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:10:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:10:51] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.788 (6.788), Lt: 6.093 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 13:17:20, Finish: 2024-11-24 11:28 [11-23 14:10:51] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.788 (6.788), Lt: 6.093 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 13:17:00, Finish: 2024-11-24 11:27 [11-23 14:10:51] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.788 (6.788), Lt: 6.093 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 13:17:54, Finish: 2024-11-24 11:28 [11-23 14:10:51] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.788 (6.788), Lt: 6.093 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 13:18:06, Finish: 2024-11-24 11:28 [11-23 14:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:51 tlr: 0.00016 tnm: 0.36 Lm: 6.754 (6.754) Lt: 6.072 (6.072) Accm: 2.67 (2.67) Acct: 3.87 (3.87) proj_loss: -0.5868 (-0.5868) time: 0.3547 data: 0.0004 [11-23 14:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:50 tlr: 0.00016 tnm: 0.36 Lm: 6.828 (6.828) Lt: 6.148 (6.148) Accm: 2.36 (2.36) Acct: 3.81 (3.81) proj_loss: -0.6020 (-0.6020) time: 0.3537 data: 0.0004 [11-23 14:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:53 tlr: 0.00016 tnm: 0.36 Lm: 6.792 (6.792) Lt: 6.129 (6.129) Accm: 2.78 (2.78) Acct: 4.46 (4.46) proj_loss: -0.5818 (-0.5818) time: 0.3556 data: 0.0004 [11-23 14:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:52 tlr: 0.00016 tnm: 0.36 Lm: 6.616 (6.616) Lt: 5.868 (5.868) Accm: 3.02 (3.02) Acct: 4.86 (4.86) proj_loss: -0.5565 (-0.5565) time: 0.3551 data: 0.0005 [11-23 14:13:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.36 Lm: 6.731 (6.731) Lt: 6.060 (6.060) Accm: 2.77 (2.77) Acct: 4.24 (4.24) proj_loss: -0.5832 (-0.5832) time: 0.3644 data: 0.0003 [11-23 14:13:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.36 Lm: 6.829 (6.829) Lt: 6.170 (6.170) Accm: 2.40 (2.40) Acct: 3.73 (3.73) proj_loss: -0.5939 (-0.5939) time: 0.3644 data: 0.0002 [11-23 14:13:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.36 Lm: 6.854 (6.854) Lt: 6.166 (6.166) Accm: 2.51 (2.51) Acct: 3.99 (3.99) proj_loss: -0.5810 (-0.5810) time: 0.3644 data: 0.0003 [11-23 14:13:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.36 Lm: 6.714 (6.714) Lt: 5.990 (5.990) Accm: 2.76 (2.76) Acct: 4.22 (4.22) proj_loss: -0.5755 (-0.5755) time: 0.3644 data: 0.0003 [11-23 14:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:06 tlr: 0.00016 tnm: 0.38 Lm: 6.740 (6.722) Lt: 6.072 (6.033) Accm: 2.74 (2.76) Acct: 4.29 (4.24) proj_loss: -0.5868 (-0.5889) time: 0.3616 data: 0.0003 [11-23 14:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:06 tlr: 0.00016 tnm: 0.38 Lm: 6.792 (6.819) Lt: 6.129 (6.139) Accm: 2.78 (2.68) Acct: 4.46 (4.22) proj_loss: -0.5802 (-0.5803) time: 0.3616 data: 0.0003 [11-23 14:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:06 tlr: 0.00016 tnm: 0.38 Lm: 6.831 (6.832) Lt: 6.148 (6.156) Accm: 2.44 (2.42) Acct: 3.68 (3.71) proj_loss: -0.5873 (-0.5917) time: 0.3616 data: 0.0003 [11-23 14:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:06 tlr: 0.00016 tnm: 0.38 Lm: 6.818 (6.760) Lt: 6.133 (6.084) Accm: 2.56 (2.70) Acct: 3.98 (4.16) proj_loss: -0.5794 (-0.5819) time: 0.3616 data: 0.0003 [11-23 14:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.39 Lm: 6.832 (6.814) Lt: 6.192 (6.142) Accm: 2.53 (2.57) Acct: 3.81 (4.00) proj_loss: -0.5731 (-0.5782) time: 0.3632 data: 0.0003 [11-23 14:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.39 Lm: 6.829 (6.811) Lt: 6.139 (6.120) Accm: 2.44 (2.52) Acct: 3.74 (3.91) proj_loss: -0.5893 (-0.5916) time: 0.3632 data: 0.0003 [11-23 14:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.39 Lm: 6.747 (6.782) Lt: 6.095 (6.110) Accm: 2.70 (2.66) Acct: 4.08 (4.13) proj_loss: -0.5862 (-0.5881) time: 0.3632 data: 0.0003 [11-23 14:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.39 Lm: 6.812 (6.822) Lt: 6.143 (6.144) Accm: 2.64 (2.64) Acct: 4.24 (4.17) proj_loss: -0.5810 (-0.5841) time: 0.3632 data: 0.0002 [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.792 (6.802) Lt: 6.129 (6.108) Accm: 2.69 (2.65) Acct: 4.42 (4.22) proj_loss: -0.5802 (-0.5826) time: 0.3653 data: 0.0016 [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:31 (0.379 s / it) [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.818 (6.815) Lt: 6.155 (6.144) Accm: 2.51 (2.51) Acct: 3.63 (3.88) proj_loss: -0.5794 (-0.5834) time: 0.3653 data: 0.0016 [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.754 (6.785) Lt: 6.084 (6.105) Accm: 2.67 (2.66) Acct: 4.15 (4.13) proj_loss: -0.5868 (-0.5894) time: 0.3653 data: 0.0014 [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.831 (6.817) Lt: 6.148 (6.130) Accm: 2.45 (2.59) Acct: 3.81 (4.01) proj_loss: -0.5873 (-0.5874) time: 0.3653 data: 0.0018 [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:31 (0.379 s / it) [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:31 (0.379 s / it) [11-23 14:21:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:31 (0.379 s / it) [11-23 14:21:23] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.788 (6.812), Lt: 6.093 (6.121), Acc m&t: 2.65 4.14, Remain: 1 day, 12:59:22, Finish: 2024-11-24 11:20 [11-23 14:21:23] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.788 (6.812), Lt: 6.093 (6.121), Acc m&t: 2.65 4.14, Remain: 1 day, 13:00:11, Finish: 2024-11-24 11:21 [11-23 14:21:23] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.788 (6.812), Lt: 6.093 (6.121), Acc m&t: 2.65 4.14, Remain: 1 day, 13:00:18, Finish: 2024-11-24 11:21 [11-23 14:21:23] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.788 (6.812), Lt: 6.093 (6.121), Acc m&t: 2.65 4.14, Remain: 1 day, 12:59:49, Finish: 2024-11-24 11:21 [11-23 14:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:38 tlr: 0.00016 tnm: 0.38 Lm: 6.675 (6.675) Lt: 5.949 (5.949) Accm: 3.00 (3.00) Acct: 4.61 (4.61) proj_loss: -0.5762 (-0.5762) time: 0.3467 data: 0.0004 [11-23 14:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:46 tlr: 0.00016 tnm: 0.38 Lm: 6.832 (6.832) Lt: 6.140 (6.140) Accm: 2.48 (2.48) Acct: 3.81 (3.81) proj_loss: -0.5872 (-0.5872) time: 0.3516 data: 0.0004 [11-23 14:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:38 tlr: 0.00016 tnm: 0.38 Lm: 6.867 (6.867) Lt: 6.169 (6.169) Accm: 2.37 (2.37) Acct: 3.74 (3.74) proj_loss: -0.5685 (-0.5685) time: 0.3465 data: 0.0004 [11-23 14:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:40 tlr: 0.00016 tnm: 0.38 Lm: 6.766 (6.766) Lt: 6.091 (6.091) Accm: 2.72 (2.72) Acct: 4.37 (4.37) proj_loss: -0.5828 (-0.5828) time: 0.3476 data: 0.0005 [11-23 14:23:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:38 tlr: 0.00016 tnm: 0.37 Lm: 6.760 (6.760) Lt: 6.055 (6.055) Accm: 2.82 (2.82) Acct: 4.61 (4.61) proj_loss: -0.5776 (-0.5776) time: 0.3620 data: 0.0003 [11-23 14:23:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:38 tlr: 0.00016 tnm: 0.37 Lm: 6.861 (6.861) Lt: 6.181 (6.181) Accm: 2.40 (2.40) Acct: 3.76 (3.76) proj_loss: -0.5764 (-0.5764) time: 0.3620 data: 0.0003 [11-23 14:23:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:38 tlr: 0.00016 tnm: 0.37 Lm: 6.719 (6.719) Lt: 5.997 (5.997) Accm: 2.90 (2.90) Acct: 4.41 (4.41) proj_loss: -0.5887 (-0.5887) time: 0.3620 data: 0.0003 [11-23 14:23:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:38 tlr: 0.00016 tnm: 0.37 Lm: 6.866 (6.866) Lt: 6.171 (6.171) Accm: 2.37 (2.37) Acct: 3.77 (3.77) proj_loss: -0.5706 (-0.5706) time: 0.3620 data: 0.0003 [11-23 14:26:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.38 Lm: 6.865 (6.843) Lt: 6.169 (6.145) Accm: 2.37 (2.47) Acct: 3.81 (3.93) proj_loss: -0.5728 (-0.5715) time: 0.3649 data: 0.0003 [11-23 14:26:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.38 Lm: 6.873 (6.865) Lt: 6.140 (6.167) Accm: 2.41 (2.40) Acct: 3.81 (3.81) proj_loss: -0.5729 (-0.5752) time: 0.3649 data: 0.0003 [11-23 14:26:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.38 Lm: 6.763 (6.760) Lt: 6.044 (6.038) Accm: 2.80 (2.80) Acct: 4.32 (4.38) proj_loss: -0.6013 (-0.5939) time: 0.3649 data: 0.0003 [11-23 14:26:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.38 Lm: 6.766 (6.795) Lt: 6.091 (6.105) Accm: 2.72 (2.62) Acct: 4.37 (4.19) proj_loss: -0.5724 (-0.5757) time: 0.3649 data: 0.0002 [11-23 14:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.760 (6.777) Lt: 6.055 (6.082) Accm: 2.82 (2.70) Acct: 4.49 (4.30) proj_loss: -0.5776 (-0.5782) time: 0.3626 data: 0.0003 [11-23 14:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.882 (6.883) Lt: 6.181 (6.196) Accm: 2.39 (2.39) Acct: 3.76 (3.77) proj_loss: -0.5759 (-0.5761) time: 0.3626 data: 0.0003 [11-23 14:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.745 (6.752) Lt: 6.042 (6.039) Accm: 2.79 (2.80) Acct: 4.30 (4.35) proj_loss: -0.5887 (-0.5885) time: 0.3626 data: 0.0003 [11-23 14:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.831 (6.789) Lt: 6.130 (6.088) Accm: 2.52 (2.65) Acct: 4.02 (4.16) proj_loss: -0.5730 (-0.5725) time: 0.3626 data: 0.0003 [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.798 (6.784) Lt: 6.092 (6.085) Accm: 2.67 (2.68) Acct: 4.17 (4.16) proj_loss: -0.5728 (-0.5724) time: 0.3622 data: 0.0019 [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.727 (6.744) Lt: 6.039 (6.028) Accm: 2.80 (2.83) Acct: 4.32 (4.42) proj_loss: -0.5762 (-0.5849) time: 0.3622 data: 0.0014 [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.766 (6.779) Lt: 6.091 (6.090) Accm: 2.73 (2.70) Acct: 4.37 (4.28) proj_loss: -0.5828 (-0.5815) time: 0.3622 data: 0.0019 [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.873 (6.835) Lt: 6.140 (6.133) Accm: 2.41 (2.50) Acct: 3.81 (3.97) proj_loss: -0.5789 (-0.5800) time: 0.3622 data: 0.0016 [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:31:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:06 (0.363 s / it) [11-23 14:31:29] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.786 (6.786), Lt: 6.092 (6.092), Acc m&t: 2.65 4.14, Remain: 1 day, 12:38:18, Finish: 2024-11-24 11:09 [11-23 14:31:29] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.786 (6.786), Lt: 6.092 (6.092), Acc m&t: 2.65 4.14, Remain: 1 day, 12:38:21, Finish: 2024-11-24 11:09 [11-23 14:31:29] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.786 (6.786), Lt: 6.092 (6.092), Acc m&t: 2.65 4.14, Remain: 1 day, 12:38:40, Finish: 2024-11-24 11:10 [11-23 14:31:29] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.786 (6.786), Lt: 6.092 (6.092), Acc m&t: 2.65 4.14, Remain: 1 day, 12:36:54, Finish: 2024-11-24 11:08 [11-23 14:31:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:11:40 tlr: 0.00016 tnm: 0.40 Lm: 6.689 (6.689) Lt: 5.941 (5.941) Accm: 2.72 (2.72) Acct: 4.34 (4.34) proj_loss: -0.5759 (-0.5759) time: 0.4200 data: 0.0004 [11-23 14:31:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:10:45 tlr: 0.00016 tnm: 0.40 Lm: 6.882 (6.882) Lt: 6.207 (6.207) Accm: 2.34 (2.34) Acct: 3.46 (3.46) proj_loss: -0.5876 (-0.5876) time: 0.3865 data: 0.0004 [11-23 14:31:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:10:54 tlr: 0.00016 tnm: 0.40 Lm: 6.730 (6.730) Lt: 6.057 (6.057) Accm: 2.77 (2.77) Acct: 4.65 (4.65) proj_loss: -0.5813 (-0.5813) time: 0.3920 data: 0.0004 [11-23 14:31:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:11:02 tlr: 0.00016 tnm: 0.40 Lm: 6.700 (6.700) Lt: 6.034 (6.034) Accm: 2.60 (2.60) Acct: 4.18 (4.18) proj_loss: -0.5756 (-0.5756) time: 0.3969 data: 0.0004 [11-23 14:34:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.38 Lm: 6.733 (6.733) Lt: 6.074 (6.074) Accm: 2.60 (2.60) Acct: 4.09 (4.09) proj_loss: -0.5820 (-0.5820) time: 0.3601 data: 0.0002 [11-23 14:34:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.733 (6.733) Lt: 5.982 (5.982) Accm: 2.71 (2.71) Acct: 4.39 (4.39) proj_loss: -0.5741 (-0.5741) time: 0.3601 data: 0.0002 [11-23 14:34:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.38 Lm: 6.870 (6.870) Lt: 6.208 (6.208) Accm: 2.38 (2.38) Acct: 3.72 (3.72) proj_loss: -0.5969 (-0.5969) time: 0.3601 data: 0.0003 [11-23 14:34:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.38 Lm: 6.830 (6.830) Lt: 6.129 (6.129) Accm: 2.43 (2.43) Acct: 3.91 (3.91) proj_loss: -0.5758 (-0.5758) time: 0.3601 data: 0.0002 [11-23 14:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.881 (6.847) Lt: 6.202 (6.158) Accm: 2.52 (2.46) Acct: 3.96 (3.93) proj_loss: -0.5799 (-0.5772) time: 0.3666 data: 0.0003 [11-23 14:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.882 (6.890) Lt: 6.209 (6.219) Accm: 2.34 (2.28) Acct: 3.46 (3.54) proj_loss: -0.5956 (-0.5964) time: 0.3666 data: 0.0003 [11-23 14:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.767 (6.771) Lt: 6.114 (6.116) Accm: 2.60 (2.52) Acct: 3.99 (3.97) proj_loss: -0.5780 (-0.5807) time: 0.3666 data: 0.0003 [11-23 14:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.778 (6.752) Lt: 6.023 (6.012) Accm: 2.70 (2.64) Acct: 4.34 (4.31) proj_loss: -0.5759 (-0.5798) time: 0.3666 data: 0.0003 [11-23 14:39:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.783 (6.780) Lt: 6.047 (6.053) Accm: 2.60 (2.56) Acct: 4.24 (4.18) proj_loss: -0.5808 (-0.5813) time: 0.3608 data: 0.0002 [11-23 14:39:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.901 (6.898) Lt: 6.217 (6.220) Accm: 2.29 (2.27) Acct: 3.46 (3.52) proj_loss: -0.5993 (-0.5981) time: 0.3608 data: 0.0003 [11-23 14:39:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.797 (6.785) Lt: 6.121 (6.120) Accm: 2.60 (2.54) Acct: 4.06 (4.01) proj_loss: -0.5780 (-0.5800) time: 0.3608 data: 0.0003 [11-23 14:39:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.805 (6.813) Lt: 6.129 (6.127) Accm: 2.59 (2.51) Acct: 3.99 (3.95) proj_loss: -0.5806 (-0.5787) time: 0.3608 data: 0.0003 [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.730 (6.779) Lt: 6.057 (6.090) Accm: 2.67 (2.60) Acct: 4.01 (4.12) proj_loss: -0.5813 (-0.5796) time: 0.3620 data: 0.0019 [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:04 (0.362 s / it) [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.827 (6.811) Lt: 6.129 (6.138) Accm: 2.60 (2.48) Acct: 3.99 (3.91) proj_loss: -0.5779 (-0.5780) time: 0.3620 data: 0.0018 [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.778 (6.775) Lt: 6.031 (6.049) Accm: 2.52 (2.55) Acct: 4.15 (4.15) proj_loss: -0.5814 (-0.5813) time: 0.3620 data: 0.0022 [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.920 (6.918) Lt: 6.225 (6.246) Accm: 2.30 (2.28) Acct: 3.46 (3.51) proj_loss: -0.5956 (-0.5941) time: 0.3620 data: 0.0020 [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:04 (0.362 s / it) [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:04 (0.362 s / it) [11-23 14:41:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:04 (0.362 s / it) [11-23 14:41:34] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.786 (6.807), Lt: 6.092 (6.116), Acc m&t: 2.65 4.14, Remain: 1 day, 12:25:07, Finish: 2024-11-24 11:06 [11-23 14:41:34] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.786 (6.807), Lt: 6.092 (6.116), Acc m&t: 2.65 4.14, Remain: 1 day, 12:23:57, Finish: 2024-11-24 11:05 [11-23 14:41:34] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.786 (6.807), Lt: 6.092 (6.116), Acc m&t: 2.65 4.14, Remain: 1 day, 12:24:44, Finish: 2024-11-24 11:06 [11-23 14:41:34] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.786 (6.807), Lt: 6.092 (6.116), Acc m&t: 2.65 4.14, Remain: 1 day, 12:24:36, Finish: 2024-11-24 11:06 [11-23 14:41:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.38 Lm: 6.886 (6.886) Lt: 6.221 (6.221) Accm: 2.32 (2.32) Acct: 3.67 (3.67) proj_loss: -0.5858 (-0.5858) time: 0.3583 data: 0.0004 [11-23 14:41:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:59 tlr: 0.00016 tnm: 0.38 Lm: 6.634 (6.634) Lt: 5.909 (5.909) Accm: 2.97 (2.97) Acct: 4.48 (4.48) proj_loss: -0.5796 (-0.5796) time: 0.3591 data: 0.0004 [11-23 14:41:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:59 tlr: 0.00016 tnm: 0.38 Lm: 6.701 (6.701) Lt: 6.023 (6.023) Accm: 2.87 (2.87) Acct: 4.36 (4.36) proj_loss: -0.5965 (-0.5965) time: 0.3591 data: 0.0003 [11-23 14:41:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.38 Lm: 6.879 (6.879) Lt: 6.139 (6.139) Accm: 2.43 (2.43) Acct: 4.06 (4.06) proj_loss: -0.5579 (-0.5579) time: 0.3584 data: 0.0003 [11-23 14:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.36 Lm: 6.794 (6.794) Lt: 6.094 (6.094) Accm: 2.60 (2.60) Acct: 4.13 (4.13) proj_loss: -0.5771 (-0.5771) time: 0.3637 data: 0.0003 [11-23 14:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.36 Lm: 6.760 (6.760) Lt: 6.069 (6.069) Accm: 2.83 (2.83) Acct: 4.31 (4.31) proj_loss: -0.5808 (-0.5808) time: 0.3637 data: 0.0003 [11-23 14:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.36 Lm: 6.699 (6.699) Lt: 5.994 (5.994) Accm: 2.74 (2.74) Acct: 4.18 (4.18) proj_loss: -0.5832 (-0.5832) time: 0.3637 data: 0.0002 [11-23 14:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.36 Lm: 6.744 (6.744) Lt: 6.049 (6.049) Accm: 2.73 (2.73) Acct: 4.26 (4.26) proj_loss: -0.5859 (-0.5859) time: 0.3637 data: 0.0003 [11-23 14:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:08 tlr: 0.00016 tnm: 0.37 Lm: 6.796 (6.761) Lt: 6.099 (6.066) Accm: 2.67 (2.71) Acct: 4.32 (4.28) proj_loss: -0.5859 (-0.5859) time: 0.4123 data: 0.0003 [11-23 14:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:08 tlr: 0.00016 tnm: 0.37 Lm: 6.761 (6.783) Lt: 6.055 (6.081) Accm: 2.78 (2.74) Acct: 4.20 (4.26) proj_loss: -0.5962 (-0.5838) time: 0.4123 data: 0.0003 [11-23 14:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:08 tlr: 0.00016 tnm: 0.37 Lm: 6.764 (6.762) Lt: 6.078 (6.072) Accm: 2.51 (2.66) Acct: 3.96 (4.10) proj_loss: -0.5864 (-0.5843) time: 0.4123 data: 0.0002 [11-23 14:46:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:08 tlr: 0.00016 tnm: 0.37 Lm: 6.818 (6.782) Lt: 6.114 (6.087) Accm: 2.78 (2.75) Acct: 4.27 (4.29) proj_loss: -0.5909 (-0.5842) time: 0.4123 data: 0.0003 [11-23 14:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.37 Lm: 6.805 (6.784) Lt: 6.081 (6.077) Accm: 2.81 (2.77) Acct: 4.31 (4.36) proj_loss: -0.5913 (-0.5861) time: 0.3624 data: 0.0003 [11-23 14:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.37 Lm: 6.758 (6.776) Lt: 6.069 (6.081) Accm: 2.73 (2.73) Acct: 4.23 (4.26) proj_loss: -0.5913 (-0.5845) time: 0.3624 data: 0.0003 [11-23 14:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.37 Lm: 6.815 (6.788) Lt: 6.150 (6.109) Accm: 2.51 (2.60) Acct: 3.92 (4.00) proj_loss: -0.5867 (-0.5873) time: 0.3624 data: 0.0003 [11-23 14:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:36 tlr: 0.00016 tnm: 0.37 Lm: 6.796 (6.770) Lt: 6.122 (6.085) Accm: 2.67 (2.70) Acct: 4.15 (4.21) proj_loss: -0.5860 (-0.5879) time: 0.3625 data: 0.0003 [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.796 (6.773) Lt: 6.145 (6.102) Accm: 2.67 (2.71) Acct: 4.03 (4.17) proj_loss: -0.5861 (-0.5926) time: 0.3638 data: 0.0019 [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:30 (0.378 s / it) [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.791 (6.758) Lt: 6.048 (6.046) Accm: 2.83 (2.82) Acct: 4.36 (4.49) proj_loss: -0.5909 (-0.5868) time: 0.3638 data: 0.0019 [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.866 (6.807) Lt: 6.202 (6.128) Accm: 2.50 (2.54) Acct: 3.87 (3.88) proj_loss: -0.5864 (-0.5862) time: 0.3639 data: 0.0019 [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.755 (6.754) Lt: 6.055 (6.049) Accm: 2.78 (2.74) Acct: 4.25 (4.31) proj_loss: -0.5919 (-0.5859) time: 0.3638 data: 0.0015 [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:30 (0.378 s / it) [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:30 (0.378 s / it) [11-23 14:52:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:30 (0.378 s / it) [11-23 14:52:05] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.786 (6.797), Lt: 6.092 (6.105), Acc m&t: 2.65 4.14, Remain: 1 day, 12:33:44, Finish: 2024-11-24 11:25 [11-23 14:52:05] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.786 (6.797), Lt: 6.092 (6.105), Acc m&t: 2.65 4.14, Remain: 1 day, 12:31:54, Finish: 2024-11-24 11:23 [11-23 14:52:05] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.786 (6.797), Lt: 6.092 (6.105), Acc m&t: 2.65 4.14, Remain: 1 day, 12:31:45, Finish: 2024-11-24 11:23 [11-23 14:52:05] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.786 (6.797), Lt: 6.092 (6.105), Acc m&t: 2.65 4.14, Remain: 1 day, 12:32:46, Finish: 2024-11-24 11:24 [11-23 14:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:09:45 tlr: 0.00016 tnm: 0.37 Lm: 6.936 (6.936) Lt: 6.297 (6.297) Accm: 2.33 (2.33) Acct: 3.60 (3.60) proj_loss: -0.5987 (-0.5987) time: 0.3509 data: 0.0004 [11-23 14:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:09:48 tlr: 0.00016 tnm: 0.37 Lm: 6.763 (6.763) Lt: 6.052 (6.052) Accm: 2.75 (2.75) Acct: 4.17 (4.17) proj_loss: -0.5999 (-0.5999) time: 0.3526 data: 0.0004 [11-23 14:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:09:45 tlr: 0.00016 tnm: 0.37 Lm: 6.877 (6.877) Lt: 6.227 (6.227) Accm: 2.42 (2.42) Acct: 3.58 (3.58) proj_loss: -0.6031 (-0.6031) time: 0.3509 data: 0.0004 [11-23 14:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:09:45 tlr: 0.00016 tnm: 0.37 Lm: 6.793 (6.793) Lt: 6.085 (6.085) Accm: 2.90 (2.90) Acct: 4.53 (4.53) proj_loss: -0.6006 (-0.6006) time: 0.3510 data: 0.0004 [11-23 14:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.38 Lm: 6.760 (6.760) Lt: 6.065 (6.065) Accm: 2.79 (2.79) Acct: 4.25 (4.25) proj_loss: -0.5927 (-0.5927) time: 0.3612 data: 0.0003 [11-23 14:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.38 Lm: 6.861 (6.861) Lt: 6.215 (6.215) Accm: 2.52 (2.52) Acct: 3.81 (3.81) proj_loss: -0.5816 (-0.5816) time: 0.3611 data: 0.0003 [11-23 14:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.38 Lm: 6.826 (6.826) Lt: 6.163 (6.163) Accm: 2.49 (2.49) Acct: 3.81 (3.81) proj_loss: -0.5906 (-0.5906) time: 0.3612 data: 0.0002 [11-23 14:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.38 Lm: 6.709 (6.709) Lt: 5.996 (5.996) Accm: 2.92 (2.92) Acct: 4.53 (4.53) proj_loss: -0.5919 (-0.5919) time: 0.3612 data: 0.0002 [11-23 14:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.39 Lm: 6.763 (6.765) Lt: 6.052 (6.070) Accm: 2.75 (2.67) Acct: 4.17 (4.10) proj_loss: -0.5919 (-0.5919) time: 0.3612 data: 0.0003 [11-23 14:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.39 Lm: 6.834 (6.829) Lt: 6.149 (6.158) Accm: 2.36 (2.45) Acct: 3.60 (3.71) proj_loss: -0.5824 (-0.5847) time: 0.3612 data: 0.0002 [11-23 14:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.39 Lm: 6.877 (6.880) Lt: 6.227 (6.229) Accm: 2.42 (2.46) Acct: 3.58 (3.72) proj_loss: -0.5736 (-0.5789) time: 0.3612 data: 0.0003 [11-23 14:57:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:05 tlr: 0.00016 tnm: 0.39 Lm: 6.727 (6.731) Lt: 6.045 (6.047) Accm: 2.81 (2.80) Acct: 4.30 (4.27) proj_loss: -0.5961 (-0.5938) time: 0.3612 data: 0.0003 [11-23 14:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.39 Lm: 6.760 (6.749) Lt: 6.065 (6.063) Accm: 2.75 (2.76) Acct: 4.29 (4.27) proj_loss: -0.5955 (-0.5941) time: 0.3650 data: 0.0003 [11-23 14:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.39 Lm: 6.744 (6.755) Lt: 6.033 (6.056) Accm: 2.84 (2.73) Acct: 4.36 (4.21) proj_loss: -0.5879 (-0.5892) time: 0.3650 data: 0.0002 [11-23 14:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.39 Lm: 6.832 (6.829) Lt: 6.135 (6.149) Accm: 2.51 (2.51) Acct: 3.81 (3.87) proj_loss: -0.5842 (-0.5850) time: 0.3650 data: 0.0003 [11-23 14:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:32 tlr: 0.00016 tnm: 0.39 Lm: 6.861 (6.840) Lt: 6.215 (6.175) Accm: 2.52 (2.56) Acct: 3.81 (3.90) proj_loss: -0.5792 (-0.5804) time: 0.3650 data: 0.0003 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.845 (6.840) Lt: 6.204 (6.171) Accm: 2.42 (2.52) Acct: 3.81 (3.88) proj_loss: -0.5847 (-0.5813) time: 0.3671 data: 0.0014 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.793 (6.762) Lt: 6.085 (6.074) Accm: 2.69 (2.71) Acct: 4.27 (4.24) proj_loss: -0.5950 (-0.5906) time: 0.3671 data: 0.0019 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.830 (6.826) Lt: 6.140 (6.147) Accm: 2.66 (2.55) Acct: 4.01 (3.91) proj_loss: -0.5859 (-0.5869) time: 0.3671 data: 0.0019 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.763 (6.769) Lt: 6.052 (6.068) Accm: 2.75 (2.70) Acct: 4.17 (4.18) proj_loss: -0.5839 (-0.5881) time: 0.3671 data: 0.0020 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:08 (0.365 s / it) [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:08 (0.365 s / it) [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:08 (0.365 s / it) [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:08 (0.365 s / it) [11-23 15:02:14] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.786 (6.787), Lt: 6.092 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 12:39:11, Finish: 2024-11-24 11:41 [11-23 15:02:14] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.786 (6.787), Lt: 6.092 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 12:38:34, Finish: 2024-11-24 11:40 [11-23 15:02:14] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.786 (6.787), Lt: 6.092 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 12:37:14, Finish: 2024-11-24 11:39 [11-23 15:02:14] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.786 (6.787), Lt: 6.092 (6.093), Acc m&t: 2.65 4.14, Remain: 1 day, 12:39:35, Finish: 2024-11-24 11:41 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:34 tlr: 0.00016 tnm: 0.37 Lm: 6.708 (6.708) Lt: 6.027 (6.027) Accm: 2.58 (2.58) Acct: 4.05 (4.05) proj_loss: -0.6166 (-0.6166) time: 0.3443 data: 0.0004 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:39 tlr: 0.00016 tnm: 0.37 Lm: 6.771 (6.771) Lt: 6.097 (6.097) Accm: 2.70 (2.70) Acct: 3.93 (3.93) proj_loss: -0.5854 (-0.5854) time: 0.3471 data: 0.0004 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:41 tlr: 0.00016 tnm: 0.37 Lm: 6.881 (6.881) Lt: 6.195 (6.195) Accm: 2.31 (2.31) Acct: 3.65 (3.65) proj_loss: -0.5765 (-0.5765) time: 0.3484 data: 0.0003 [11-23 15:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:42 tlr: 0.00016 tnm: 0.37 Lm: 6.866 (6.866) Lt: 6.181 (6.181) Accm: 2.54 (2.54) Acct: 4.17 (4.17) proj_loss: -0.5719 (-0.5719) time: 0.3490 data: 0.0003 [11-23 15:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.39 Lm: 6.851 (6.851) Lt: 6.170 (6.170) Accm: 2.45 (2.45) Acct: 3.83 (3.83) proj_loss: -0.5770 (-0.5770) time: 0.3631 data: 0.0003 [11-23 15:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.39 Lm: 6.710 (6.710) Lt: 6.006 (6.006) Accm: 2.83 (2.83) Acct: 4.42 (4.42) proj_loss: -0.5751 (-0.5751) time: 0.3631 data: 0.0003 [11-23 15:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.39 Lm: 6.750 (6.750) Lt: 6.093 (6.093) Accm: 2.75 (2.75) Acct: 4.22 (4.22) proj_loss: -0.5932 (-0.5932) time: 0.3631 data: 0.0003 [11-23 15:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.39 Lm: 6.689 (6.689) Lt: 6.021 (6.021) Accm: 2.66 (2.66) Acct: 4.18 (4.18) proj_loss: -0.6089 (-0.6089) time: 0.3631 data: 0.0003 [11-23 15:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.708 (6.719) Lt: 6.027 (6.045) Accm: 2.74 (2.72) Acct: 4.32 (4.36) proj_loss: -0.6024 (-0.6067) time: 0.3618 data: 0.0003 [11-23 15:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.729 (6.738) Lt: 6.088 (6.054) Accm: 2.80 (2.86) Acct: 4.51 (4.44) proj_loss: -0.5854 (-0.5871) time: 0.3618 data: 0.0003 [11-23 15:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.720 (6.713) Lt: 5.978 (5.997) Accm: 2.76 (2.80) Acct: 4.41 (4.41) proj_loss: -0.5737 (-0.5718) time: 0.3618 data: 0.0003 [11-23 15:07:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.855 (6.853) Lt: 6.160 (6.162) Accm: 2.45 (2.45) Acct: 3.56 (3.74) proj_loss: -0.5719 (-0.5726) time: 0.3618 data: 0.0003 [11-23 15:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.847 (6.849) Lt: 6.153 (6.155) Accm: 2.45 (2.45) Acct: 3.72 (3.77) proj_loss: -0.5770 (-0.5762) time: 0.3637 data: 0.0003 [11-23 15:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.744 (6.768) Lt: 6.060 (6.092) Accm: 2.66 (2.66) Acct: 4.18 (4.28) proj_loss: -0.6018 (-0.6027) time: 0.3637 data: 0.0003 [11-23 15:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.793 (6.751) Lt: 6.079 (6.042) Accm: 2.59 (2.71) Acct: 4.17 (4.29) proj_loss: -0.5751 (-0.5738) time: 0.3637 data: 0.0003 [11-23 15:09:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.750 (6.747) Lt: 6.093 (6.072) Accm: 2.75 (2.77) Acct: 4.22 (4.27) proj_loss: -0.5836 (-0.5858) time: 0.3637 data: 0.0003 [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.708 (6.755) Lt: 6.027 (6.075) Accm: 2.74 (2.71) Acct: 4.32 (4.38) proj_loss: -0.6012 (-0.5982) time: 0.3666 data: 0.0017 [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.855 (6.855) Lt: 6.160 (6.184) Accm: 2.45 (2.45) Acct: 3.82 (3.78) proj_loss: -0.5820 (-0.5810) time: 0.3666 data: 0.0016 [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.720 (6.730) Lt: 5.978 (6.011) Accm: 2.76 (2.74) Acct: 4.24 (4.28) proj_loss: -0.5765 (-0.5758) time: 0.3666 data: 0.0018 [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.729 (6.730) Lt: 6.088 (6.056) Accm: 2.80 (2.80) Acct: 4.17 (4.25) proj_loss: -0.5854 (-0.5867) time: 0.3666 data: 0.0026 [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:12:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:12:19] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.780 (6.780), Lt: 6.087 (6.087), Acc m&t: 2.67 4.17, Remain: 1 day, 12:09:39, Finish: 2024-11-24 11:21 [11-23 15:12:19] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.780 (6.780), Lt: 6.087 (6.087), Acc m&t: 2.67 4.17, Remain: 1 day, 12:08:33, Finish: 2024-11-24 11:20 [11-23 15:12:19] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.780 (6.780), Lt: 6.087 (6.087), Acc m&t: 2.67 4.17, Remain: 1 day, 12:09:28, Finish: 2024-11-24 11:21 [11-23 15:12:19] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.780 (6.780), Lt: 6.087 (6.087), Acc m&t: 2.67 4.17, Remain: 1 day, 12:09:40, Finish: 2024-11-24 11:21 [11-23 15:12:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:10:17 tlr: 0.00016 tnm: 0.38 Lm: 6.801 (6.801) Lt: 6.078 (6.078) Accm: 2.46 (2.46) Acct: 3.84 (3.84) proj_loss: -0.5856 (-0.5856) time: 0.3699 data: 0.0003 [11-23 15:12:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:13:30 tlr: 0.00016 tnm: 0.38 Lm: 6.809 (6.809) Lt: 6.147 (6.147) Accm: 2.62 (2.62) Acct: 3.81 (3.81) proj_loss: -0.5755 (-0.5755) time: 0.4858 data: 0.0004 [11-23 15:12:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:11:46 tlr: 0.00016 tnm: 0.38 Lm: 6.776 (6.776) Lt: 6.058 (6.058) Accm: 2.47 (2.47) Acct: 3.93 (3.93) proj_loss: -0.5602 (-0.5602) time: 0.4232 data: 0.0004 [11-23 15:12:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:09:34 tlr: 0.00016 tnm: 0.38 Lm: 6.752 (6.752) Lt: 6.103 (6.103) Accm: 2.88 (2.88) Acct: 4.73 (4.73) proj_loss: -0.6131 (-0.6131) time: 0.3444 data: 0.0003 [11-23 15:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.740 (6.740) Lt: 6.078 (6.078) Accm: 2.80 (2.80) Acct: 4.58 (4.58) proj_loss: -0.6018 (-0.6018) time: 0.3609 data: 0.0003 [11-23 15:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.814 (6.814) Lt: 6.104 (6.104) Accm: 2.53 (2.53) Acct: 3.83 (3.83) proj_loss: -0.5845 (-0.5845) time: 0.3609 data: 0.0003 [11-23 15:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.38 Lm: 6.700 (6.700) Lt: 6.031 (6.031) Accm: 2.84 (2.84) Acct: 4.23 (4.23) proj_loss: -0.5946 (-0.5946) time: 0.3609 data: 0.0003 [11-23 15:14:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.38 Lm: 6.747 (6.747) Lt: 6.034 (6.034) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: -0.5720 (-0.5720) time: 0.3609 data: 0.0002 [11-23 15:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:11 tlr: 0.00016 tnm: 0.37 Lm: 6.776 (6.763) Lt: 6.054 (6.040) Accm: 2.75 (2.71) Acct: 4.20 (4.23) proj_loss: -0.5839 (-0.5783) time: 0.4478 data: 0.0003 [11-23 15:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:11 tlr: 0.00016 tnm: 0.37 Lm: 6.806 (6.735) Lt: 6.093 (6.051) Accm: 2.62 (2.76) Acct: 3.93 (4.13) proj_loss: -0.5794 (-0.5895) time: 0.4478 data: 0.0003 [11-23 15:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:11 tlr: 0.00016 tnm: 0.37 Lm: 6.752 (6.792) Lt: 6.103 (6.134) Accm: 2.72 (2.63) Acct: 4.42 (4.26) proj_loss: -0.6033 (-0.6023) time: 0.4478 data: 0.0003 [11-23 15:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:11 tlr: 0.00016 tnm: 0.37 Lm: 6.801 (6.784) Lt: 6.078 (6.078) Accm: 2.61 (2.74) Acct: 3.84 (4.20) proj_loss: -0.5833 (-0.5792) time: 0.4478 data: 0.0003 [11-23 15:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.37 Lm: 6.814 (6.798) Lt: 6.104 (6.098) Accm: 2.53 (2.67) Acct: 3.83 (4.08) proj_loss: -0.5759 (-0.5740) time: 0.3630 data: 0.0003 [11-23 15:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.37 Lm: 6.747 (6.737) Lt: 6.032 (6.002) Accm: 2.84 (2.77) Acct: 4.38 (4.39) proj_loss: -0.5874 (-0.5832) time: 0.3630 data: 0.0003 [11-23 15:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.37 Lm: 6.796 (6.804) Lt: 6.105 (6.127) Accm: 2.58 (2.58) Acct: 4.19 (4.18) proj_loss: -0.5968 (-0.5965) time: 0.3630 data: 0.0003 [11-23 15:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.37 Lm: 6.734 (6.717) Lt: 6.038 (6.034) Accm: 2.76 (2.79) Acct: 4.24 (4.24) proj_loss: -0.5957 (-0.5952) time: 0.3630 data: 0.0003 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.806 (6.744) Lt: 6.093 (6.050) Accm: 2.62 (2.73) Acct: 3.94 (4.18) proj_loss: -0.5794 (-0.5913) time: 0.4070 data: 0.0016 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:31 (0.378 s / it) [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.810 (6.800) Lt: 6.094 (6.097) Accm: 2.59 (2.65) Acct: 3.84 (4.05) proj_loss: -0.5685 (-0.5712) time: 0.4070 data: 0.0017 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.719 (6.716) Lt: 6.009 (5.970) Accm: 2.92 (2.85) Acct: 4.56 (4.56) proj_loss: -0.5870 (-0.5840) time: 0.4070 data: 0.0019 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.774 (6.798) Lt: 6.103 (6.116) Accm: 2.72 (2.62) Acct: 4.42 (4.24) proj_loss: -0.5934 (-0.5959) time: 0.4070 data: 0.0015 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:31 (0.378 s / it) [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:31 (0.378 s / it) [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:31 (0.378 s / it) [11-23 15:22:51] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.778 (6.778), Lt: 6.079 (6.079), Acc m&t: 2.68 4.19, Remain: 1 day, 11:55:19, Finish: 2024-11-24 11:18 [11-23 15:22:51] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.778 (6.778), Lt: 6.079 (6.079), Acc m&t: 2.68 4.19, Remain: 1 day, 11:51:56, Finish: 2024-11-24 11:14 [11-23 15:22:51] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.778 (6.778), Lt: 6.079 (6.079), Acc m&t: 2.68 4.19, Remain: 1 day, 11:55:25, Finish: 2024-11-24 11:18 [11-23 15:22:51] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.778 (6.778), Lt: 6.079 (6.079), Acc m&t: 2.68 4.19, Remain: 1 day, 11:55:30, Finish: 2024-11-24 11:18 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:10:01 tlr: 0.00016 tnm: 0.35 Lm: 6.829 (6.829) Lt: 6.110 (6.110) Accm: 2.62 (2.62) Acct: 4.55 (4.55) proj_loss: -0.5779 (-0.5779) time: 0.3602 data: 0.0004 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:09:54 tlr: 0.00016 tnm: 0.35 Lm: 6.865 (6.865) Lt: 6.237 (6.237) Accm: 2.45 (2.45) Acct: 3.79 (3.79) proj_loss: -0.6112 (-0.6112) time: 0.3563 data: 0.0004 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:10:02 tlr: 0.00016 tnm: 0.35 Lm: 6.852 (6.852) Lt: 6.140 (6.140) Accm: 2.35 (2.35) Acct: 3.62 (3.62) proj_loss: -0.5780 (-0.5780) time: 0.3611 data: 0.0004 [11-23 15:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:09:56 tlr: 0.00016 tnm: 0.35 Lm: 6.798 (6.798) Lt: 6.106 (6.106) Accm: 2.94 (2.94) Acct: 4.63 (4.63) proj_loss: -0.5871 (-0.5871) time: 0.3574 data: 0.0004 [11-23 15:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.40 Lm: 6.844 (6.844) Lt: 6.176 (6.176) Accm: 2.66 (2.66) Acct: 4.18 (4.18) proj_loss: -0.5934 (-0.5934) time: 0.3628 data: 0.0003 [11-23 15:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.40 Lm: 6.827 (6.827) Lt: 6.115 (6.115) Accm: 2.55 (2.55) Acct: 4.24 (4.24) proj_loss: -0.5818 (-0.5818) time: 0.3628 data: 0.0003 [11-23 15:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.40 Lm: 6.884 (6.884) Lt: 6.218 (6.218) Accm: 2.34 (2.34) Acct: 3.74 (3.74) proj_loss: -0.5928 (-0.5928) time: 0.3628 data: 0.0003 [11-23 15:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:07:34 tlr: 0.00016 tnm: 0.40 Lm: 6.901 (6.901) Lt: 6.213 (6.213) Accm: 2.24 (2.24) Acct: 3.38 (3.38) proj_loss: -0.5873 (-0.5873) time: 0.3628 data: 0.0003 [11-23 15:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.37 Lm: 6.937 (6.913) Lt: 6.286 (6.242) Accm: 2.14 (2.20) Acct: 3.15 (3.29) proj_loss: -0.5780 (-0.5797) time: 0.3614 data: 0.0003 [11-23 15:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.37 Lm: 6.829 (6.831) Lt: 6.119 (6.124) Accm: 2.62 (2.60) Acct: 4.13 (4.20) proj_loss: -0.5857 (-0.5880) time: 0.3614 data: 0.0003 [11-23 15:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.37 Lm: 6.865 (6.873) Lt: 6.199 (6.204) Accm: 2.45 (2.38) Acct: 3.68 (3.64) proj_loss: -0.5957 (-0.5938) time: 0.3614 data: 0.0003 [11-23 15:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:04 tlr: 0.00016 tnm: 0.37 Lm: 6.798 (6.803) Lt: 6.106 (6.145) Accm: 2.62 (2.64) Acct: 3.75 (4.04) proj_loss: -0.5871 (-0.5901) time: 0.3614 data: 0.0003 [11-23 15:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.793 (6.799) Lt: 6.116 (6.140) Accm: 2.61 (2.63) Acct: 3.91 (4.05) proj_loss: -0.5911 (-0.5914) time: 0.3616 data: 0.0003 [11-23 15:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.834 (6.851) Lt: 6.131 (6.154) Accm: 2.55 (2.49) Acct: 4.03 (3.92) proj_loss: -0.5896 (-0.5894) time: 0.3616 data: 0.0002 [11-23 15:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.895 (6.886) Lt: 6.213 (6.210) Accm: 2.24 (2.30) Acct: 3.38 (3.49) proj_loss: -0.5816 (-0.5811) time: 0.3616 data: 0.0003 [11-23 15:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.36 Lm: 6.857 (6.862) Lt: 6.187 (6.192) Accm: 2.45 (2.41) Acct: 3.74 (3.74) proj_loss: -0.5884 (-0.5906) time: 0.3616 data: 0.0003 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.852 (6.861) Lt: 6.140 (6.185) Accm: 2.35 (2.38) Acct: 3.62 (3.65) proj_loss: -0.5853 (-0.5840) time: 0.3636 data: 0.0016 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.789 (6.797) Lt: 6.106 (6.129) Accm: 2.62 (2.64) Acct: 4.06 (4.07) proj_loss: -0.5871 (-0.5902) time: 0.3636 data: 0.0020 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.829 (6.847) Lt: 6.121 (6.147) Accm: 2.60 (2.51) Acct: 4.08 (3.95) proj_loss: -0.5925 (-0.5900) time: 0.3636 data: 0.0019 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:06 (0.363 s / it) [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:06 (0.363 s / it) [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:06 (0.363 s / it) [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.850 (6.832) Lt: 6.176 (6.154) Accm: 2.45 (2.47) Acct: 3.79 (3.89) proj_loss: -0.5854 (-0.5896) time: 0.3636 data: 0.0016 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:06 (0.363 s / it) [11-23 15:32:57] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.778 (6.792), Lt: 6.079 (6.100), Acc m&t: 2.68 4.19, Remain: 1 day, 11:49:31, Finish: 2024-11-24 11:22 [11-23 15:32:57] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.778 (6.792), Lt: 6.079 (6.100), Acc m&t: 2.68 4.19, Remain: 1 day, 11:50:14, Finish: 2024-11-24 11:23 [11-23 15:32:57] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.778 (6.792), Lt: 6.079 (6.100), Acc m&t: 2.68 4.19, Remain: 1 day, 11:50:25, Finish: 2024-11-24 11:23 [11-23 15:32:57] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.778 (6.792), Lt: 6.079 (6.100), Acc m&t: 2.68 4.19, Remain: 1 day, 11:50:14, Finish: 2024-11-24 11:23 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:53 tlr: 0.00016 tnm: 0.37 Lm: 6.833 (6.833) Lt: 6.168 (6.168) Accm: 2.43 (2.43) Acct: 3.65 (3.65) proj_loss: -0.6000 (-0.6000) time: 0.3556 data: 0.0003 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:55 tlr: 0.00016 tnm: 0.37 Lm: 6.634 (6.634) Lt: 5.943 (5.943) Accm: 2.96 (2.96) Acct: 4.55 (4.55) proj_loss: -0.5816 (-0.5816) time: 0.3565 data: 0.0004 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:54 tlr: 0.00016 tnm: 0.37 Lm: 6.907 (6.907) Lt: 6.241 (6.241) Accm: 2.32 (2.32) Acct: 3.48 (3.48) proj_loss: -0.5854 (-0.5854) time: 0.3560 data: 0.0004 [11-23 15:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:53 tlr: 0.00016 tnm: 0.37 Lm: 6.714 (6.714) Lt: 6.084 (6.084) Accm: 2.92 (2.92) Acct: 4.36 (4.36) proj_loss: -0.5779 (-0.5779) time: 0.3556 data: 0.0004 [11-23 15:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.760 (6.760) Lt: 6.077 (6.077) Accm: 2.75 (2.75) Acct: 4.28 (4.28) proj_loss: -0.5801 (-0.5801) time: 0.3602 data: 0.0003 [11-23 15:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.840 (6.840) Lt: 6.152 (6.152) Accm: 2.40 (2.40) Acct: 3.66 (3.66) proj_loss: -0.5984 (-0.5984) time: 0.3602 data: 0.0003 [11-23 15:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.850 (6.850) Lt: 6.146 (6.146) Accm: 2.50 (2.50) Acct: 3.88 (3.88) proj_loss: -0.5804 (-0.5804) time: 0.3602 data: 0.0003 [11-23 15:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:33 tlr: 0.00016 tnm: 0.37 Lm: 6.781 (6.781) Lt: 6.091 (6.091) Accm: 2.71 (2.71) Acct: 4.23 (4.23) proj_loss: -0.5784 (-0.5784) time: 0.3602 data: 0.0003 [11-23 15:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.744 (6.769) Lt: 6.059 (6.080) Accm: 2.86 (2.76) Acct: 4.48 (4.31) proj_loss: -0.5816 (-0.5836) time: 0.3642 data: 0.0002 [11-23 15:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.833 (6.792) Lt: 6.135 (6.105) Accm: 2.43 (2.59) Acct: 3.67 (3.97) proj_loss: -0.6000 (-0.6001) time: 0.3643 data: 0.0003 [11-23 15:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.793 (6.800) Lt: 6.052 (6.087) Accm: 2.67 (2.69) Acct: 4.29 (4.16) proj_loss: -0.5754 (-0.5753) time: 0.3643 data: 0.0003 [11-23 15:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.807 (6.776) Lt: 6.084 (6.093) Accm: 2.57 (2.67) Acct: 4.20 (4.04) proj_loss: -0.5817 (-0.5807) time: 0.3643 data: 0.0003 [11-23 15:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.780 (6.771) Lt: 6.077 (6.077) Accm: 2.75 (2.75) Acct: 4.28 (4.24) proj_loss: -0.5809 (-0.5805) time: 0.3644 data: 0.0002 [11-23 15:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.794 (6.783) Lt: 6.091 (6.090) Accm: 2.62 (2.64) Acct: 4.03 (4.08) proj_loss: -0.5984 (-0.5944) time: 0.3644 data: 0.0002 [11-23 15:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.779 (6.780) Lt: 6.064 (6.078) Accm: 2.76 (2.74) Acct: 4.36 (4.30) proj_loss: -0.5790 (-0.5818) time: 0.3644 data: 0.0003 [11-23 15:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.38 Lm: 6.746 (6.774) Lt: 6.009 (6.051) Accm: 2.69 (2.69) Acct: 4.26 (4.18) proj_loss: -0.5800 (-0.5776) time: 0.3644 data: 0.0003 [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.699 (6.742) Lt: 5.967 (6.022) Accm: 2.71 (2.79) Acct: 4.29 (4.28) proj_loss: -0.5847 (-0.5834) time: 0.3637 data: 0.0021 [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.781 (6.773) Lt: 6.084 (6.085) Accm: 2.82 (2.77) Acct: 4.29 (4.25) proj_loss: -0.5817 (-0.5813) time: 0.3638 data: 0.0014 [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.756 (6.746) Lt: 6.047 (6.046) Accm: 2.81 (2.72) Acct: 4.39 (4.19) proj_loss: -0.6000 (-0.5964) time: 0.3637 data: 0.0019 [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.767 (6.777) Lt: 6.063 (6.075) Accm: 2.80 (2.75) Acct: 4.46 (4.33) proj_loss: -0.5816 (-0.5828) time: 0.3637 data: 0.0022 [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:43:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:05 (0.363 s / it) [11-23 15:45:10] (home/user/VAR/trainer.py, line 114)=> FID: 4.538686266423554 [11-23 15:45:11] (/home/user/VAR/train.py , line 259)=> [*] [ep139] (val 50000) Lm: 6.7846, Lt: 6.0884, Acc m&t: 2.65 4.16, Val cost: 128.38s [11-23 15:45:11] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 15:45:25] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.778 (6.785), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 11:31:13, Finish: 2024-11-24 11:14 [11-23 15:45:25] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.778 (6.785), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 11:31:01, Finish: 2024-11-24 11:14 [11-23 15:45:25] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.778 (6.785), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 11:30:44, Finish: 2024-11-24 11:13 [11-23 15:45:25] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.778 (6.785), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 11:31:02, Finish: 2024-11-24 11:14 [11-23 15:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:24:17 tlr: 0.00016 tnm: 0.38 Lm: 6.676 (6.676) Lt: 5.908 (5.908) Accm: 2.83 (2.83) Acct: 4.32 (4.32) proj_loss: -0.5878 (-0.5878) time: 0.8734 data: 0.0004 [11-23 15:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:09:50 tlr: 0.00016 tnm: 0.38 Lm: 6.742 (6.742) Lt: 6.012 (6.012) Accm: 3.07 (3.07) Acct: 4.77 (4.77) proj_loss: -0.5640 (-0.5640) time: 0.3538 data: 0.0004 [11-23 15:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:24:18 tlr: 0.00016 tnm: 0.38 Lm: 6.895 (6.895) Lt: 6.209 (6.209) Accm: 2.30 (2.30) Acct: 3.68 (3.68) proj_loss: -0.5684 (-0.5684) time: 0.8738 data: 0.0004 [11-23 15:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:24:18 tlr: 0.00016 tnm: 0.38 Lm: 6.836 (6.836) Lt: 6.182 (6.182) Accm: 2.54 (2.54) Acct: 3.79 (3.79) proj_loss: -0.5989 (-0.5989) time: 0.8741 data: 0.0004 [11-23 15:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:39 tlr: 0.00016 tnm: 0.38 Lm: 6.826 (6.826) Lt: 6.140 (6.140) Accm: 2.60 (2.60) Acct: 4.04 (4.04) proj_loss: -0.5871 (-0.5871) time: 0.3607 data: 0.0002 [11-23 15:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:39 tlr: 0.00016 tnm: 0.38 Lm: 6.741 (6.741) Lt: 5.995 (5.995) Accm: 2.58 (2.58) Acct: 3.95 (3.95) proj_loss: -0.5845 (-0.5845) time: 0.3607 data: 0.0003 [11-23 15:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:38 tlr: 0.00016 tnm: 0.38 Lm: 6.733 (6.733) Lt: 6.031 (6.031) Accm: 3.08 (3.08) Acct: 4.76 (4.76) proj_loss: -0.5834 (-0.5834) time: 0.3607 data: 0.0003 [11-23 15:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:39 tlr: 0.00016 tnm: 0.38 Lm: 6.875 (6.875) Lt: 6.204 (6.204) Accm: 2.37 (2.37) Acct: 3.82 (3.82) proj_loss: -0.5763 (-0.5763) time: 0.3607 data: 0.0003 [11-23 15:50:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:15 tlr: 0.00016 tnm: 0.39 Lm: 6.856 (6.843) Lt: 6.199 (6.162) Accm: 2.43 (2.41) Acct: 3.89 (3.85) proj_loss: -0.5842 (-0.5828) time: 0.4121 data: 0.0002 [11-23 15:50:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:14 tlr: 0.00016 tnm: 0.39 Lm: 6.742 (6.747) Lt: 6.050 (6.055) Accm: 3.07 (2.86) Acct: 4.75 (4.38) proj_loss: -0.6029 (-0.5949) time: 0.4121 data: 0.0003 [11-23 15:50:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:15 tlr: 0.00016 tnm: 0.39 Lm: 6.820 (6.824) Lt: 6.138 (6.139) Accm: 2.67 (2.68) Acct: 4.15 (4.07) proj_loss: -0.5981 (-0.5907) time: 0.4121 data: 0.0002 [11-23 15:50:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:15 tlr: 0.00016 tnm: 0.39 Lm: 6.736 (6.740) Lt: 6.031 (6.007) Accm: 2.75 (2.64) Acct: 4.06 (3.99) proj_loss: -0.5813 (-0.5806) time: 0.4121 data: 0.0002 [11-23 15:53:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.36 Lm: 6.771 (6.759) Lt: 6.057 (6.036) Accm: 2.69 (2.63) Acct: 4.19 (4.10) proj_loss: -0.5845 (-0.5830) time: 0.4081 data: 0.0003 [11-23 15:53:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.36 Lm: 6.759 (6.779) Lt: 6.076 (6.099) Accm: 2.75 (2.71) Acct: 4.19 (4.18) proj_loss: -0.6013 (-0.5961) time: 0.4081 data: 0.0003 [11-23 15:53:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.36 Lm: 6.818 (6.817) Lt: 6.141 (6.140) Accm: 2.66 (2.67) Acct: 4.16 (4.10) proj_loss: -0.5985 (-0.5948) time: 0.4081 data: 0.0002 [11-23 15:53:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.36 Lm: 6.858 (6.847) Lt: 6.187 (6.165) Accm: 2.39 (2.39) Acct: 3.79 (3.79) proj_loss: -0.5899 (-0.5873) time: 0.4081 data: 0.0003 [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.856 (6.846) Lt: 6.175 (6.161) Accm: 2.43 (2.40) Acct: 3.89 (3.82) proj_loss: -0.5898 (-0.5878) time: 0.3626 data: 0.0018 [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:32 (0.379 s / it) [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.736 (6.750) Lt: 6.031 (6.025) Accm: 2.75 (2.66) Acct: 4.32 (4.16) proj_loss: -0.5813 (-0.5822) time: 0.3626 data: 0.0021 [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.815 (6.803) Lt: 6.138 (6.114) Accm: 2.67 (2.71) Acct: 4.17 (4.16) proj_loss: -0.5981 (-0.5912) time: 0.3626 data: 0.0017 [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.761 (6.775) Lt: 6.050 (6.087) Accm: 2.72 (2.71) Acct: 4.56 (4.25) proj_loss: -0.5997 (-0.5965) time: 0.3626 data: 0.0014 [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:32 (0.379 s / it) [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:32 (0.379 s / it) [11-23 15:55:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:32 (0.379 s / it) [11-23 15:55:57] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:24:34, Finish: 2024-11-24 11:20 [11-23 15:55:57] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:22:24, Finish: 2024-11-24 11:18 [11-23 15:55:57] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:26:25, Finish: 2024-11-24 11:22 [11-23 15:55:57] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:26:33, Finish: 2024-11-24 11:22 [11-23 15:55:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:09:30 tlr: 0.00015 tnm: 0.37 Lm: 6.802 (6.802) Lt: 6.110 (6.110) Accm: 2.43 (2.43) Acct: 3.91 (3.91) proj_loss: -0.6025 (-0.6025) time: 0.3421 data: 0.0003 [11-23 15:55:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:09:30 tlr: 0.00015 tnm: 0.37 Lm: 6.826 (6.826) Lt: 6.147 (6.147) Accm: 2.58 (2.58) Acct: 3.87 (3.87) proj_loss: -0.5750 (-0.5750) time: 0.3418 data: 0.0004 [11-23 15:55:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:09:31 tlr: 0.00015 tnm: 0.37 Lm: 6.740 (6.740) Lt: 6.024 (6.024) Accm: 2.67 (2.67) Acct: 4.25 (4.25) proj_loss: -0.5934 (-0.5934) time: 0.3423 data: 0.0003 [11-23 15:55:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:09:30 tlr: 0.00015 tnm: 0.37 Lm: 6.769 (6.769) Lt: 6.016 (6.016) Accm: 2.87 (2.87) Acct: 4.80 (4.80) proj_loss: -0.5643 (-0.5643) time: 0.3421 data: 0.0003 [11-23 15:58:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.808 (6.808) Lt: 6.090 (6.090) Accm: 2.67 (2.67) Acct: 4.43 (4.43) proj_loss: -0.5712 (-0.5712) time: 0.3663 data: 0.0003 [11-23 15:58:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.838 (6.838) Lt: 6.123 (6.123) Accm: 2.56 (2.56) Acct: 3.92 (3.92) proj_loss: -0.5728 (-0.5728) time: 0.3663 data: 0.0003 [11-23 15:58:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.795 (6.795) Lt: 6.073 (6.073) Accm: 2.66 (2.66) Acct: 4.19 (4.19) proj_loss: -0.5961 (-0.5961) time: 0.3663 data: 0.0007 [11-23 15:58:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.770 (6.770) Lt: 6.070 (6.070) Accm: 2.58 (2.58) Acct: 4.07 (4.07) proj_loss: -0.5930 (-0.5930) time: 0.3663 data: 0.0003 [11-23 16:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:04 tlr: 0.00015 tnm: 0.38 Lm: 6.826 (6.799) Lt: 6.099 (6.082) Accm: 2.58 (2.63) Acct: 3.96 (4.01) proj_loss: -0.5706 (-0.5713) time: 0.3601 data: 0.0003 [11-23 16:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:04 tlr: 0.00015 tnm: 0.38 Lm: 6.848 (6.836) Lt: 6.164 (6.123) Accm: 2.46 (2.57) Acct: 4.06 (4.17) proj_loss: -0.5717 (-0.5713) time: 0.3601 data: 0.0003 [11-23 16:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:04 tlr: 0.00015 tnm: 0.38 Lm: 6.800 (6.781) Lt: 6.095 (6.078) Accm: 2.67 (2.63) Acct: 4.08 (4.07) proj_loss: -0.5927 (-0.5829) time: 0.3601 data: 0.0002 [11-23 16:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:04 tlr: 0.00015 tnm: 0.38 Lm: 6.802 (6.797) Lt: 6.110 (6.087) Accm: 2.43 (2.58) Acct: 3.91 (4.00) proj_loss: -0.5897 (-0.5904) time: 0.3601 data: 0.0003 [11-23 16:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.795 (6.748) Lt: 6.073 (6.025) Accm: 2.66 (2.76) Acct: 4.19 (4.32) proj_loss: -0.5901 (-0.5905) time: 0.3657 data: 0.0003 [11-23 16:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.801 (6.805) Lt: 6.105 (6.115) Accm: 2.62 (2.62) Acct: 4.02 (4.05) proj_loss: -0.5930 (-0.5884) time: 0.3657 data: 0.0002 [11-23 16:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.838 (6.814) Lt: 6.121 (6.097) Accm: 2.59 (2.62) Acct: 4.00 (4.02) proj_loss: -0.5728 (-0.5723) time: 0.3657 data: 0.0003 [11-23 16:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.808 (6.772) Lt: 6.090 (6.062) Accm: 2.67 (2.67) Acct: 4.26 (4.24) proj_loss: -0.5749 (-0.5744) time: 0.3657 data: 0.0003 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.769 (6.760) Lt: 6.016 (6.047) Accm: 2.57 (2.65) Acct: 4.20 (4.23) proj_loss: -0.5717 (-0.5728) time: 0.3656 data: 0.0016 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:07 (0.364 s / it) [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.850 (6.833) Lt: 6.143 (6.134) Accm: 2.58 (2.59) Acct: 3.96 (3.98) proj_loss: -0.5750 (-0.5780) time: 0.3656 data: 0.0019 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.788 (6.746) Lt: 6.091 (6.038) Accm: 2.70 (2.75) Acct: 3.91 (4.20) proj_loss: -0.5897 (-0.5866) time: 0.3656 data: 0.0021 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.800 (6.802) Lt: 6.095 (6.105) Accm: 2.67 (2.63) Acct: 3.96 (4.00) proj_loss: -0.5927 (-0.5843) time: 0.3656 data: 0.0021 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:07 (0.364 s / it) [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:07 (0.364 s / it) [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:07 (0.364 s / it) [11-23 16:06:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.778 (6.782), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:25:37, Finish: 2024-11-24 11:31 [11-23 16:06:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.778 (6.782), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:25:31, Finish: 2024-11-24 11:31 [11-23 16:06:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.778 (6.782), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:25:21, Finish: 2024-11-24 11:31 [11-23 16:06:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.778 (6.782), Lt: 6.079 (6.089), Acc m&t: 2.68 4.19, Remain: 1 day, 11:25:01, Finish: 2024-11-24 11:31 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.38 Lm: 6.636 (6.636) Lt: 5.940 (5.940) Accm: 3.05 (3.05) Acct: 4.68 (4.68) proj_loss: -0.5886 (-0.5886) time: 0.3518 data: 0.0004 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:51 tlr: 0.00015 tnm: 0.38 Lm: 6.784 (6.784) Lt: 6.108 (6.108) Accm: 2.95 (2.95) Acct: 4.67 (4.67) proj_loss: -0.5772 (-0.5772) time: 0.3542 data: 0.0004 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:48 tlr: 0.00015 tnm: 0.38 Lm: 6.796 (6.796) Lt: 6.077 (6.077) Accm: 2.71 (2.71) Acct: 4.44 (4.44) proj_loss: -0.6035 (-0.6035) time: 0.3527 data: 0.0003 [11-23 16:06:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:49 tlr: 0.00015 tnm: 0.38 Lm: 6.693 (6.693) Lt: 5.977 (5.977) Accm: 3.16 (3.16) Acct: 5.10 (5.10) proj_loss: -0.5902 (-0.5902) time: 0.3533 data: 0.0004 [11-23 16:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:35 tlr: 0.00015 tnm: 0.38 Lm: 6.736 (6.736) Lt: 6.047 (6.047) Accm: 2.91 (2.91) Acct: 4.66 (4.66) proj_loss: -0.5999 (-0.5999) time: 0.3655 data: 0.0002 [11-23 16:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:35 tlr: 0.00015 tnm: 0.38 Lm: 6.685 (6.685) Lt: 5.991 (5.991) Accm: 2.82 (2.82) Acct: 4.49 (4.49) proj_loss: -0.5872 (-0.5872) time: 0.3655 data: 0.0003 [11-23 16:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:35 tlr: 0.00015 tnm: 0.38 Lm: 6.770 (6.770) Lt: 6.048 (6.048) Accm: 2.87 (2.87) Acct: 4.54 (4.54) proj_loss: -0.5785 (-0.5785) time: 0.3655 data: 0.0003 [11-23 16:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:35 tlr: 0.00015 tnm: 0.38 Lm: 6.804 (6.804) Lt: 6.098 (6.098) Accm: 2.71 (2.71) Acct: 4.38 (4.38) proj_loss: -0.5955 (-0.5955) time: 0.3655 data: 0.0004 [11-23 16:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.807 (6.805) Lt: 6.095 (6.097) Accm: 2.71 (2.64) Acct: 4.32 (4.13) proj_loss: -0.5874 (-0.5895) time: 0.3660 data: 0.0003 [11-23 16:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.734 (6.721) Lt: 6.043 (6.038) Accm: 2.59 (2.74) Acct: 4.29 (4.30) proj_loss: -0.5886 (-0.5933) time: 0.3660 data: 0.0003 [11-23 16:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.784 (6.777) Lt: 6.064 (6.053) Accm: 2.79 (2.74) Acct: 4.41 (4.42) proj_loss: -0.5798 (-0.5802) time: 0.3660 data: 0.0003 [11-23 16:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.780 (6.785) Lt: 6.117 (6.104) Accm: 2.67 (2.83) Acct: 4.22 (4.51) proj_loss: -0.6010 (-0.6002) time: 0.3660 data: 0.0003 [11-23 16:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.792 (6.790) Lt: 6.113 (6.106) Accm: 2.66 (2.72) Acct: 4.22 (4.38) proj_loss: -0.5956 (-0.5957) time: 0.3638 data: 0.0003 [11-23 16:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.809 (6.830) Lt: 6.107 (6.124) Accm: 2.61 (2.57) Acct: 3.98 (3.99) proj_loss: -0.5825 (-0.5846) time: 0.3638 data: 0.0002 [11-23 16:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.770 (6.768) Lt: 6.048 (6.048) Accm: 2.81 (2.76) Acct: 4.30 (4.36) proj_loss: -0.5817 (-0.5842) time: 0.3638 data: 0.0003 [11-23 16:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.736 (6.725) Lt: 6.034 (6.035) Accm: 2.71 (2.76) Acct: 4.33 (4.32) proj_loss: -0.5939 (-0.5947) time: 0.3638 data: 0.0003 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.734 (6.710) Lt: 6.026 (6.023) Accm: 2.82 (2.82) Acct: 4.37 (4.34) proj_loss: -0.5907 (-0.5939) time: 0.3651 data: 0.0019 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:05 (0.363 s / it) [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.784 (6.782) Lt: 6.064 (6.068) Accm: 2.79 (2.74) Acct: 4.32 (4.35) proj_loss: -0.5836 (-0.5857) time: 0.3651 data: 0.0019 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.805 (6.804) Lt: 6.117 (6.124) Accm: 2.66 (2.65) Acct: 4.22 (4.25) proj_loss: -0.5928 (-0.5951) time: 0.3651 data: 0.0020 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.807 (6.817) Lt: 6.095 (6.105) Accm: 2.71 (2.63) Acct: 4.32 (4.07) proj_loss: -0.5874 (-0.5852) time: 0.3651 data: 0.0017 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:05 (0.363 s / it) [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:05 (0.363 s / it) [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:05 (0.363 s / it) [11-23 16:16:11] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.102), Acc m&t: 2.68 4.19, Remain: 1 day, 11:00:58, Finish: 2024-11-24 11:17 [11-23 16:16:11] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.102), Acc m&t: 2.68 4.19, Remain: 1 day, 11:01:16, Finish: 2024-11-24 11:17 [11-23 16:16:11] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.102), Acc m&t: 2.68 4.19, Remain: 1 day, 11:01:34, Finish: 2024-11-24 11:17 [11-23 16:16:11] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.102), Acc m&t: 2.68 4.19, Remain: 1 day, 11:01:11, Finish: 2024-11-24 11:17 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:09:46 tlr: 0.00015 tnm: 0.37 Lm: 6.838 (6.838) Lt: 6.150 (6.150) Accm: 2.39 (2.39) Acct: 3.60 (3.60) proj_loss: -0.5871 (-0.5871) time: 0.3517 data: 0.0004 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.37 Lm: 6.831 (6.831) Lt: 6.133 (6.133) Accm: 2.46 (2.46) Acct: 3.96 (3.96) proj_loss: -0.5693 (-0.5693) time: 0.3519 data: 0.0004 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:09:48 tlr: 0.00015 tnm: 0.37 Lm: 6.827 (6.827) Lt: 6.102 (6.102) Accm: 2.58 (2.58) Acct: 4.32 (4.32) proj_loss: -0.5725 (-0.5725) time: 0.3525 data: 0.0004 [11-23 16:16:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:09:48 tlr: 0.00015 tnm: 0.37 Lm: 6.982 (6.982) Lt: 6.301 (6.301) Accm: 2.13 (2.13) Acct: 3.44 (3.44) proj_loss: -0.5710 (-0.5710) time: 0.3525 data: 0.0004 [11-23 16:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:46 tlr: 0.00015 tnm: 0.40 Lm: 6.928 (6.928) Lt: 6.237 (6.237) Accm: 2.29 (2.29) Acct: 3.58 (3.58) proj_loss: -0.5859 (-0.5859) time: 0.4138 data: 0.0003 [11-23 16:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:46 tlr: 0.00015 tnm: 0.40 Lm: 6.867 (6.867) Lt: 6.175 (6.175) Accm: 2.59 (2.59) Acct: 4.09 (4.09) proj_loss: -0.5873 (-0.5873) time: 0.4138 data: 0.0002 [11-23 16:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:46 tlr: 0.00015 tnm: 0.40 Lm: 6.823 (6.823) Lt: 6.143 (6.143) Accm: 2.45 (2.45) Acct: 3.78 (3.78) proj_loss: -0.5813 (-0.5813) time: 0.4138 data: 0.0003 [11-23 16:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:46 tlr: 0.00015 tnm: 0.40 Lm: 6.817 (6.817) Lt: 6.133 (6.133) Accm: 2.55 (2.55) Acct: 3.96 (3.96) proj_loss: -0.5883 (-0.5883) time: 0.4138 data: 0.0003 [11-23 16:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.817 (6.817) Lt: 6.150 (6.140) Accm: 2.49 (2.53) Acct: 3.77 (3.90) proj_loss: -0.5871 (-0.5873) time: 0.3636 data: 0.0003 [11-23 16:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.873 (6.865) Lt: 6.174 (6.163) Accm: 2.45 (2.46) Acct: 3.72 (3.91) proj_loss: -0.5805 (-0.5841) time: 0.3636 data: 0.0003 [11-23 16:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.816 (6.713) Lt: 6.133 (6.014) Accm: 2.46 (2.68) Acct: 3.96 (4.10) proj_loss: -0.5929 (-0.5852) time: 0.3636 data: 0.0003 [11-23 16:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.827 (6.819) Lt: 6.102 (6.138) Accm: 2.59 (2.65) Acct: 4.32 (4.22) proj_loss: -0.5806 (-0.5851) time: 0.3636 data: 0.0002 [11-23 16:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.40 Lm: 6.822 (6.818) Lt: 6.098 (6.126) Accm: 2.59 (2.60) Acct: 4.09 (4.12) proj_loss: -0.5790 (-0.5832) time: 0.3643 data: 0.0003 [11-23 16:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.40 Lm: 6.806 (6.758) Lt: 6.133 (6.072) Accm: 2.60 (2.65) Acct: 4.05 (4.06) proj_loss: -0.5861 (-0.5866) time: 0.3643 data: 0.0003 [11-23 16:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.40 Lm: 6.918 (6.890) Lt: 6.233 (6.195) Accm: 2.43 (2.45) Acct: 3.70 (3.86) proj_loss: -0.5816 (-0.5837) time: 0.3643 data: 0.0003 [11-23 16:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.40 Lm: 6.817 (6.740) Lt: 6.123 (6.039) Accm: 2.45 (2.59) Acct: 3.89 (4.03) proj_loss: -0.5842 (-0.5827) time: 0.3643 data: 0.0003 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.816 (6.747) Lt: 6.114 (6.049) Accm: 2.46 (2.58) Acct: 3.96 (4.07) proj_loss: -0.5929 (-0.5853) time: 0.3647 data: 0.0019 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:32 (0.379 s / it) [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.873 (6.839) Lt: 6.174 (6.136) Accm: 2.45 (2.58) Acct: 3.72 (4.05) proj_loss: -0.5827 (-0.5879) time: 0.3647 data: 0.0019 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.816 (6.793) Lt: 6.093 (6.096) Accm: 2.59 (2.63) Acct: 4.27 (4.15) proj_loss: -0.5775 (-0.5817) time: 0.3647 data: 0.0015 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.796 (6.751) Lt: 6.117 (6.063) Accm: 2.63 (2.64) Acct: 4.27 (4.10) proj_loss: -0.5871 (-0.5894) time: 0.3647 data: 0.0016 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:32 (0.379 s / it) [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:32 (0.379 s / it) [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:32 (0.379 s / it) [11-23 16:26:44] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.778 (6.789), Lt: 6.079 (6.095), Acc m&t: 2.68 4.19, Remain: 1 day, 11:00:03, Finish: 2024-11-24 11:26 [11-23 16:26:44] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.778 (6.789), Lt: 6.079 (6.095), Acc m&t: 2.68 4.19, Remain: 1 day, 11:00:01, Finish: 2024-11-24 11:26 [11-23 16:26:44] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.778 (6.789), Lt: 6.079 (6.095), Acc m&t: 2.68 4.19, Remain: 1 day, 10:58:19, Finish: 2024-11-24 11:25 [11-23 16:26:44] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.778 (6.789), Lt: 6.079 (6.095), Acc m&t: 2.68 4.19, Remain: 1 day, 11:00:33, Finish: 2024-11-24 11:27 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:10:00 tlr: 0.00015 tnm: 0.39 Lm: 6.744 (6.744) Lt: 5.984 (5.984) Accm: 2.83 (2.83) Acct: 4.65 (4.65) proj_loss: -0.5829 (-0.5829) time: 0.3597 data: 0.0004 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:10:01 tlr: 0.00015 tnm: 0.39 Lm: 6.856 (6.856) Lt: 6.181 (6.181) Accm: 2.62 (2.62) Acct: 4.08 (4.08) proj_loss: -0.5883 (-0.5883) time: 0.3605 data: 0.0004 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:10:03 tlr: 0.00015 tnm: 0.39 Lm: 6.776 (6.776) Lt: 6.021 (6.021) Accm: 2.70 (2.70) Acct: 4.18 (4.18) proj_loss: -0.5778 (-0.5778) time: 0.3616 data: 0.0003 [11-23 16:26:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:10:03 tlr: 0.00015 tnm: 0.39 Lm: 6.720 (6.720) Lt: 5.997 (5.997) Accm: 2.92 (2.92) Acct: 4.73 (4.73) proj_loss: -0.5950 (-0.5950) time: 0.3613 data: 0.0004 [11-23 16:29:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.37 Lm: 6.707 (6.707) Lt: 5.963 (5.963) Accm: 2.78 (2.78) Acct: 4.42 (4.42) proj_loss: -0.5880 (-0.5880) time: 0.3646 data: 0.0002 [11-23 16:29:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.37 Lm: 6.753 (6.753) Lt: 6.065 (6.065) Accm: 2.87 (2.87) Acct: 4.44 (4.44) proj_loss: -0.6026 (-0.6026) time: 0.3646 data: 0.0003 [11-23 16:29:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.37 Lm: 6.783 (6.783) Lt: 6.063 (6.063) Accm: 2.70 (2.70) Acct: 4.10 (4.10) proj_loss: -0.5807 (-0.5807) time: 0.3646 data: 0.0002 [11-23 16:29:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.37 Lm: 6.715 (6.715) Lt: 5.983 (5.983) Accm: 2.90 (2.90) Acct: 4.64 (4.64) proj_loss: -0.5895 (-0.5895) time: 0.3646 data: 0.0003 [11-23 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.744 (6.745) Lt: 5.984 (6.032) Accm: 2.83 (2.80) Acct: 4.63 (4.42) proj_loss: -0.5884 (-0.5891) time: 0.3613 data: 0.0003 [11-23 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.758 (6.755) Lt: 6.074 (6.068) Accm: 2.62 (2.75) Acct: 4.08 (4.19) proj_loss: -0.5883 (-0.5972) time: 0.3613 data: 0.0003 [11-23 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.776 (6.759) Lt: 6.021 (6.038) Accm: 2.70 (2.73) Acct: 4.18 (4.18) proj_loss: -0.5835 (-0.5849) time: 0.3613 data: 0.0002 [11-23 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.713 (6.709) Lt: 5.997 (5.986) Accm: 2.92 (2.85) Acct: 4.63 (4.49) proj_loss: -0.5950 (-0.5949) time: 0.3613 data: 0.0003 [11-23 16:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.783 (6.768) Lt: 6.059 (6.053) Accm: 2.70 (2.69) Acct: 4.19 (4.18) proj_loss: -0.5854 (-0.5855) time: 0.3612 data: 0.0002 [11-23 16:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.744 (6.745) Lt: 6.016 (6.036) Accm: 2.86 (2.82) Acct: 4.53 (4.42) proj_loss: -0.5877 (-0.5886) time: 0.3612 data: 0.0003 [11-23 16:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.706 (6.707) Lt: 5.986 (5.983) Accm: 2.95 (2.89) Acct: 4.68 (4.60) proj_loss: -0.5880 (-0.5889) time: 0.3612 data: 0.0002 [11-23 16:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.39 Lm: 6.737 (6.745) Lt: 6.028 (6.047) Accm: 2.66 (2.74) Acct: 4.12 (4.18) proj_loss: -0.5873 (-0.5910) time: 0.3612 data: 0.0003 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.758 (6.764) Lt: 6.074 (6.061) Accm: 2.62 (2.70) Acct: 4.08 (4.13) proj_loss: -0.5883 (-0.5909) time: 0.3650 data: 0.0019 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:06 (0.364 s / it) [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.713 (6.725) Lt: 5.997 (6.002) Accm: 2.92 (2.79) Acct: 4.63 (4.38) proj_loss: -0.5898 (-0.5891) time: 0.3650 data: 0.0018 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.744 (6.770) Lt: 6.049 (6.072) Accm: 2.83 (2.77) Acct: 4.42 (4.30) proj_loss: -0.5884 (-0.5913) time: 0.3650 data: 0.0015 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.790 (6.793) Lt: 6.097 (6.080) Accm: 2.70 (2.64) Acct: 4.18 (4.06) proj_loss: -0.5835 (-0.5835) time: 0.3650 data: 0.0015 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:06 (0.364 s / it) [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:06 (0.364 s / it) [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:06 (0.364 s / it) [11-23 16:36:51] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 10:59:02, Finish: 2024-11-24 11:35 [11-23 16:36:51] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 10:59:39, Finish: 2024-11-24 11:36 [11-23 16:36:51] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 10:59:02, Finish: 2024-11-24 11:35 [11-23 16:36:51] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.778 (6.786), Lt: 6.079 (6.088), Acc m&t: 2.68 4.19, Remain: 1 day, 10:59:19, Finish: 2024-11-24 11:36 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:36 tlr: 0.00015 tnm: 0.37 Lm: 6.637 (6.637) Lt: 5.884 (5.884) Accm: 3.06 (3.06) Acct: 4.60 (4.60) proj_loss: -0.5858 (-0.5858) time: 0.3452 data: 0.0004 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:45 tlr: 0.00015 tnm: 0.37 Lm: 6.736 (6.736) Lt: 6.030 (6.030) Accm: 2.88 (2.88) Acct: 4.30 (4.30) proj_loss: -0.5837 (-0.5837) time: 0.3508 data: 0.0004 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:45 tlr: 0.00015 tnm: 0.37 Lm: 6.945 (6.945) Lt: 6.303 (6.303) Accm: 2.23 (2.23) Acct: 3.75 (3.75) proj_loss: -0.5773 (-0.5773) time: 0.3510 data: 0.0004 [11-23 16:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:37 tlr: 0.00015 tnm: 0.37 Lm: 6.766 (6.766) Lt: 6.121 (6.121) Accm: 2.66 (2.66) Acct: 4.08 (4.08) proj_loss: -0.5969 (-0.5969) time: 0.3461 data: 0.0003 [11-23 16:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.39 Lm: 6.811 (6.811) Lt: 6.135 (6.135) Accm: 2.56 (2.56) Acct: 3.99 (3.99) proj_loss: -0.5964 (-0.5964) time: 0.3640 data: 0.0002 [11-23 16:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.39 Lm: 6.851 (6.851) Lt: 6.164 (6.164) Accm: 2.56 (2.56) Acct: 3.80 (3.80) proj_loss: -0.5828 (-0.5828) time: 0.3640 data: 0.0003 [11-23 16:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.39 Lm: 6.739 (6.739) Lt: 6.026 (6.026) Accm: 2.85 (2.85) Acct: 4.42 (4.42) proj_loss: -0.5865 (-0.5865) time: 0.3640 data: 0.0003 [11-23 16:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.39 Lm: 6.890 (6.890) Lt: 6.237 (6.237) Accm: 2.43 (2.43) Acct: 3.91 (3.91) proj_loss: -0.5909 (-0.5909) time: 0.3640 data: 0.0003 [11-23 16:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.868 (6.856) Lt: 6.170 (6.166) Accm: 2.52 (2.55) Acct: 3.79 (3.79) proj_loss: -0.5837 (-0.5832) time: 0.3621 data: 0.0003 [11-23 16:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.766 (6.785) Lt: 6.121 (6.102) Accm: 2.66 (2.60) Acct: 4.08 (4.05) proj_loss: -0.5959 (-0.5850) time: 0.3621 data: 0.0002 [11-23 16:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.835 (6.863) Lt: 6.171 (6.181) Accm: 2.43 (2.43) Acct: 3.75 (3.86) proj_loss: -0.5839 (-0.5886) time: 0.3621 data: 0.0003 [11-23 16:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.795 (6.757) Lt: 6.106 (6.053) Accm: 2.64 (2.75) Acct: 4.25 (4.23) proj_loss: -0.5858 (-0.5821) time: 0.3621 data: 0.0003 [11-23 16:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.716 (6.710) Lt: 5.995 (6.007) Accm: 2.85 (2.83) Acct: 4.38 (4.30) proj_loss: -0.5804 (-0.5803) time: 0.3613 data: 0.0003 [11-23 16:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.847 (6.862) Lt: 6.174 (6.180) Accm: 2.40 (2.41) Acct: 3.80 (3.85) proj_loss: -0.5806 (-0.5806) time: 0.3613 data: 0.0003 [11-23 16:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.845 (6.848) Lt: 6.130 (6.147) Accm: 2.49 (2.53) Acct: 3.90 (3.85) proj_loss: -0.5828 (-0.5793) time: 0.3613 data: 0.0003 [11-23 16:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.780 (6.787) Lt: 6.135 (6.113) Accm: 2.66 (2.62) Acct: 4.12 (4.08) proj_loss: -0.5944 (-0.5870) time: 0.3613 data: 0.0002 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.766 (6.761) Lt: 6.121 (6.080) Accm: 2.67 (2.73) Acct: 4.15 (4.24) proj_loss: -0.5959 (-0.5893) time: 0.3667 data: 0.0017 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:06 (0.363 s / it) [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.822 (6.813) Lt: 6.090 (6.113) Accm: 2.52 (2.60) Acct: 4.01 (3.95) proj_loss: -0.5819 (-0.5763) time: 0.3667 data: 0.0016 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.858 (6.881) Lt: 6.178 (6.201) Accm: 2.37 (2.37) Acct: 3.75 (3.78) proj_loss: -0.5839 (-0.5834) time: 0.3667 data: 0.0019 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.795 (6.739) Lt: 6.106 (6.039) Accm: 2.64 (2.74) Acct: 4.25 (4.18) proj_loss: -0.5858 (-0.5850) time: 0.3667 data: 0.0015 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:06 (0.363 s / it) [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:06 (0.363 s / it) [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:06 (0.363 s / it) [11-23 16:46:57] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.105), Acc m&t: 2.68 4.19, Remain: 1 day, 10:48:59, Finish: 2024-11-24 11:35 [11-23 16:46:57] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.105), Acc m&t: 2.68 4.19, Remain: 1 day, 10:50:01, Finish: 2024-11-24 11:36 [11-23 16:46:57] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.105), Acc m&t: 2.68 4.19, Remain: 1 day, 10:49:27, Finish: 2024-11-24 11:36 [11-23 16:46:57] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.778 (6.796), Lt: 6.079 (6.105), Acc m&t: 2.68 4.19, Remain: 1 day, 10:50:05, Finish: 2024-11-24 11:37 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:09:36 tlr: 0.00015 tnm: 0.39 Lm: 6.808 (6.808) Lt: 6.124 (6.124) Accm: 2.64 (2.64) Acct: 3.91 (3.91) proj_loss: -0.5933 (-0.5933) time: 0.3455 data: 0.0003 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:09:37 tlr: 0.00015 tnm: 0.39 Lm: 6.815 (6.815) Lt: 6.103 (6.103) Accm: 2.59 (2.59) Acct: 3.94 (3.94) proj_loss: -0.5720 (-0.5720) time: 0.3459 data: 0.0004 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:09:37 tlr: 0.00015 tnm: 0.39 Lm: 6.800 (6.800) Lt: 6.133 (6.133) Accm: 2.50 (2.50) Acct: 3.89 (3.89) proj_loss: -0.5875 (-0.5875) time: 0.3459 data: 0.0003 [11-23 16:46:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:09:37 tlr: 0.00015 tnm: 0.39 Lm: 6.720 (6.720) Lt: 6.011 (6.011) Accm: 2.97 (2.97) Acct: 4.65 (4.65) proj_loss: -0.5975 (-0.5975) time: 0.3462 data: 0.0003 [11-23 16:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:53 tlr: 0.00015 tnm: 0.37 Lm: 6.773 (6.773) Lt: 6.102 (6.102) Accm: 2.66 (2.66) Acct: 4.09 (4.09) proj_loss: -0.6044 (-0.6044) time: 0.4070 data: 0.0002 [11-23 16:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:53 tlr: 0.00015 tnm: 0.37 Lm: 6.813 (6.813) Lt: 6.113 (6.113) Accm: 2.60 (2.60) Acct: 3.92 (3.92) proj_loss: -0.5759 (-0.5759) time: 0.4070 data: 0.0003 [11-23 16:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:53 tlr: 0.00015 tnm: 0.37 Lm: 6.794 (6.794) Lt: 6.093 (6.093) Accm: 2.56 (2.56) Acct: 3.92 (3.92) proj_loss: -0.5733 (-0.5733) time: 0.4071 data: 0.0003 [11-23 16:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:53 tlr: 0.00015 tnm: 0.37 Lm: 6.701 (6.701) Lt: 5.990 (5.990) Accm: 2.90 (2.90) Acct: 4.55 (4.55) proj_loss: -0.5846 (-0.5846) time: 0.4071 data: 0.0003 [11-23 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.725 (6.709) Lt: 6.087 (6.023) Accm: 3.09 (2.96) Acct: 4.67 (4.59) proj_loss: -0.5817 (-0.5786) time: 0.3656 data: 0.0003 [11-23 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.808 (6.762) Lt: 6.102 (6.053) Accm: 2.64 (2.80) Acct: 3.93 (4.35) proj_loss: -0.5899 (-0.5806) time: 0.3656 data: 0.0003 [11-23 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.797 (6.781) Lt: 6.119 (6.108) Accm: 2.48 (2.60) Acct: 3.67 (3.95) proj_loss: -0.5975 (-0.5991) time: 0.3656 data: 0.0003 [11-23 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:18 tlr: 0.00015 tnm: 0.39 Lm: 6.815 (6.822) Lt: 6.103 (6.125) Accm: 2.54 (2.53) Acct: 3.93 (3.92) proj_loss: -0.5747 (-0.5805) time: 0.3656 data: 0.0003 [11-23 16:54:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.37 Lm: 6.809 (6.817) Lt: 6.100 (6.118) Accm: 2.56 (2.55) Acct: 3.93 (3.95) proj_loss: -0.5750 (-0.5792) time: 0.3640 data: 0.0003 [11-23 16:54:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.37 Lm: 6.813 (6.808) Lt: 6.113 (6.115) Accm: 2.60 (2.60) Acct: 3.92 (4.03) proj_loss: -0.5916 (-0.5858) time: 0.3640 data: 0.0003 [11-23 16:54:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.37 Lm: 6.756 (6.729) Lt: 6.098 (6.044) Accm: 2.81 (2.86) Acct: 4.43 (4.49) proj_loss: -0.5846 (-0.5827) time: 0.3640 data: 0.0003 [11-23 16:54:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.37 Lm: 6.758 (6.758) Lt: 6.065 (6.062) Accm: 2.59 (2.62) Acct: 3.99 (4.04) proj_loss: -0.5969 (-0.5984) time: 0.3640 data: 0.0003 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.783 (6.763) Lt: 6.023 (6.054) Accm: 2.69 (2.65) Acct: 4.30 (4.14) proj_loss: -0.5963 (-0.5973) time: 0.3656 data: 0.0020 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:31 (0.379 s / it) [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.803 (6.791) Lt: 6.097 (6.090) Accm: 2.59 (2.62) Acct: 3.94 (4.05) proj_loss: -0.5754 (-0.5815) time: 0.3656 data: 0.0016 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.817 (6.821) Lt: 6.124 (6.146) Accm: 2.56 (2.58) Acct: 3.91 (3.94) proj_loss: -0.5933 (-0.5903) time: 0.3656 data: 0.0015 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.742 (6.731) Lt: 6.087 (6.044) Accm: 2.75 (2.83) Acct: 4.56 (4.51) proj_loss: -0.5875 (-0.5884) time: 0.3656 data: 0.0016 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:31 (0.379 s / it) [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:31 (0.379 s / it) [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:31 (0.379 s / it) [11-23 16:57:29] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.775 (6.775), Lt: 6.076 (6.076), Acc m&t: 2.68 4.19, Remain: 1 day, 10:28:19, Finish: 2024-11-24 11:25 [11-23 16:57:29] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.775 (6.775), Lt: 6.076 (6.076), Acc m&t: 2.68 4.19, Remain: 1 day, 10:27:25, Finish: 2024-11-24 11:24 [11-23 16:57:29] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.775 (6.775), Lt: 6.076 (6.076), Acc m&t: 2.68 4.19, Remain: 1 day, 10:28:13, Finish: 2024-11-24 11:25 [11-23 16:57:29] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.775 (6.775), Lt: 6.076 (6.076), Acc m&t: 2.68 4.19, Remain: 1 day, 10:26:57, Finish: 2024-11-24 11:24 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:10:26 tlr: 0.00015 tnm: 0.38 Lm: 6.709 (6.709) Lt: 6.019 (6.019) Accm: 2.78 (2.78) Acct: 4.20 (4.20) proj_loss: -0.5709 (-0.5709) time: 0.3753 data: 0.0004 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:10:24 tlr: 0.00015 tnm: 0.38 Lm: 6.789 (6.789) Lt: 6.131 (6.131) Accm: 2.24 (2.24) Acct: 3.22 (3.22) proj_loss: -0.5844 (-0.5844) time: 0.3741 data: 0.0004 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:10:26 tlr: 0.00015 tnm: 0.38 Lm: 6.890 (6.890) Lt: 6.219 (6.219) Accm: 2.43 (2.43) Acct: 3.82 (3.82) proj_loss: -0.5736 (-0.5736) time: 0.3755 data: 0.0003 [11-23 16:57:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:10:27 tlr: 0.00015 tnm: 0.38 Lm: 6.781 (6.781) Lt: 6.081 (6.081) Accm: 2.72 (2.72) Acct: 4.24 (4.24) proj_loss: -0.5949 (-0.5949) time: 0.3761 data: 0.0004 [11-23 17:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.798 (6.798) Lt: 6.111 (6.111) Accm: 2.51 (2.51) Acct: 3.95 (3.95) proj_loss: -0.5792 (-0.5792) time: 0.3609 data: 0.0003 [11-23 17:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.710 (6.710) Lt: 6.027 (6.027) Accm: 2.82 (2.82) Acct: 4.36 (4.36) proj_loss: -0.5854 (-0.5854) time: 0.3609 data: 0.0002 [11-23 17:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.810 (6.810) Lt: 6.117 (6.117) Accm: 2.57 (2.57) Acct: 3.98 (3.98) proj_loss: -0.5833 (-0.5833) time: 0.3609 data: 0.0003 [11-23 17:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.823 (6.823) Lt: 6.159 (6.159) Accm: 2.43 (2.43) Acct: 3.56 (3.56) proj_loss: -0.5955 (-0.5955) time: 0.3609 data: 0.0003 [11-23 17:02:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.789 (6.804) Lt: 6.131 (6.130) Accm: 2.48 (2.45) Acct: 3.75 (3.63) proj_loss: -0.5844 (-0.5915) time: 0.3646 data: 0.0003 [11-23 17:02:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.711 (6.740) Lt: 6.035 (6.045) Accm: 2.78 (2.73) Acct: 4.20 (4.26) proj_loss: -0.5925 (-0.5877) time: 0.3646 data: 0.0003 [11-23 17:02:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.784 (6.801) Lt: 6.065 (6.099) Accm: 2.68 (2.61) Acct: 4.13 (4.13) proj_loss: -0.5736 (-0.5729) time: 0.3646 data: 0.0003 [11-23 17:02:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.815 (6.812) Lt: 6.133 (6.118) Accm: 2.40 (2.48) Acct: 3.86 (3.92) proj_loss: -0.5792 (-0.5792) time: 0.3646 data: 0.0003 [11-23 17:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.798 (6.766) Lt: 6.107 (6.060) Accm: 2.56 (2.57) Acct: 4.05 (4.14) proj_loss: -0.5867 (-0.5830) time: 0.3643 data: 0.0003 [11-23 17:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.710 (6.716) Lt: 6.027 (6.023) Accm: 2.82 (2.78) Acct: 4.36 (4.35) proj_loss: -0.5926 (-0.5890) time: 0.3643 data: 0.0003 [11-23 17:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.809 (6.810) Lt: 6.137 (6.133) Accm: 2.55 (2.51) Acct: 3.83 (3.78) proj_loss: -0.5938 (-0.5944) time: 0.3643 data: 0.0003 [11-23 17:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.837 (6.833) Lt: 6.142 (6.135) Accm: 2.56 (2.51) Acct: 3.98 (3.97) proj_loss: -0.5755 (-0.5741) time: 0.3643 data: 0.0003 [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.792 (6.771) Lt: 6.100 (6.068) Accm: 2.59 (2.58) Acct: 4.24 (4.21) proj_loss: -0.5861 (-0.5836) time: 0.3639 data: 0.0020 [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.711 (6.740) Lt: 6.035 (6.052) Accm: 2.78 (2.67) Acct: 4.20 (4.23) proj_loss: -0.5927 (-0.5899) time: 0.3639 data: 0.0020 [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.789 (6.796) Lt: 6.131 (6.110) Accm: 2.61 (2.58) Acct: 3.91 (3.92) proj_loss: -0.5998 (-0.5955) time: 0.3639 data: 0.0017 [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.890 (6.849) Lt: 6.219 (6.156) Accm: 2.43 (2.48) Acct: 3.82 (3.90) proj_loss: -0.5774 (-0.5753) time: 0.3639 data: 0.0014 [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:07:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:07:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.773 (6.773), Lt: 6.075 (6.075), Acc m&t: 2.68 4.20, Remain: 1 day, 10:22:20, Finish: 2024-11-24 11:29 [11-23 17:07:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.773 (6.773), Lt: 6.075 (6.075), Acc m&t: 2.68 4.20, Remain: 1 day, 10:22:21, Finish: 2024-11-24 11:29 [11-23 17:07:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.773 (6.773), Lt: 6.075 (6.075), Acc m&t: 2.68 4.20, Remain: 1 day, 10:21:19, Finish: 2024-11-24 11:28 [11-23 17:07:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.773 (6.773), Lt: 6.075 (6.075), Acc m&t: 2.68 4.20, Remain: 1 day, 10:21:00, Finish: 2024-11-24 11:28 [11-23 17:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:09:33 tlr: 0.00015 tnm: 0.40 Lm: 6.821 (6.821) Lt: 6.164 (6.164) Accm: 2.51 (2.51) Acct: 3.96 (3.96) proj_loss: -0.5889 (-0.5889) time: 0.3439 data: 0.0003 [11-23 17:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:09:46 tlr: 0.00015 tnm: 0.40 Lm: 6.745 (6.745) Lt: 6.040 (6.040) Accm: 2.62 (2.62) Acct: 4.06 (4.06) proj_loss: -0.6037 (-0.6037) time: 0.3516 data: 0.0004 [11-23 17:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:10:17 tlr: 0.00015 tnm: 0.40 Lm: 6.587 (6.587) Lt: 5.803 (5.803) Accm: 3.03 (3.03) Acct: 5.01 (5.01) proj_loss: -0.6015 (-0.6015) time: 0.3700 data: 0.0003 [11-23 17:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:09:56 tlr: 0.00015 tnm: 0.40 Lm: 6.812 (6.812) Lt: 6.158 (6.158) Accm: 2.75 (2.75) Acct: 4.15 (4.15) proj_loss: -0.5672 (-0.5672) time: 0.3572 data: 0.0004 [11-23 17:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.630 (6.630) Lt: 5.885 (5.885) Accm: 2.84 (2.84) Acct: 4.45 (4.45) proj_loss: -0.5946 (-0.5946) time: 0.3618 data: 0.0003 [11-23 17:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.701 (6.701) Lt: 6.002 (6.002) Accm: 2.82 (2.82) Acct: 4.43 (4.43) proj_loss: -0.6021 (-0.6021) time: 0.3618 data: 0.0003 [11-23 17:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.819 (6.819) Lt: 6.186 (6.186) Accm: 2.60 (2.60) Acct: 3.90 (3.90) proj_loss: -0.5759 (-0.5759) time: 0.3618 data: 0.0003 [11-23 17:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.850 (6.850) Lt: 6.169 (6.169) Accm: 2.44 (2.44) Acct: 3.87 (3.87) proj_loss: -0.5815 (-0.5815) time: 0.3618 data: 0.0003 [11-23 17:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.878 (6.867) Lt: 6.174 (6.192) Accm: 2.37 (2.35) Acct: 3.77 (3.67) proj_loss: -0.5889 (-0.5851) time: 0.3648 data: 0.0003 [11-23 17:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.673 (6.704) Lt: 5.966 (5.995) Accm: 2.69 (2.79) Acct: 4.05 (4.32) proj_loss: -0.5974 (-0.5955) time: 0.3648 data: 0.0003 [11-23 17:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.744 (6.715) Lt: 5.997 (6.000) Accm: 2.85 (2.83) Acct: 4.44 (4.44) proj_loss: -0.6005 (-0.5924) time: 0.3648 data: 0.0003 [11-23 17:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.38 Lm: 6.813 (6.817) Lt: 6.158 (6.163) Accm: 2.72 (2.64) Acct: 4.15 (3.99) proj_loss: -0.5672 (-0.5725) time: 0.3648 data: 0.0003 [11-23 17:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.38 Lm: 6.813 (6.801) Lt: 6.137 (6.144) Accm: 2.74 (2.71) Acct: 4.17 (4.07) proj_loss: -0.5759 (-0.5804) time: 0.3629 data: 0.0003 [11-23 17:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.38 Lm: 6.757 (6.738) Lt: 6.048 (6.029) Accm: 2.67 (2.69) Acct: 3.97 (4.12) proj_loss: -0.5925 (-0.5934) time: 0.3629 data: 0.0003 [11-23 17:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.38 Lm: 6.729 (6.715) Lt: 5.991 (5.996) Accm: 2.94 (2.89) Acct: 4.62 (4.53) proj_loss: -0.5951 (-0.5917) time: 0.3629 data: 0.0003 [11-23 17:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.38 Lm: 6.868 (6.865) Lt: 6.169 (6.180) Accm: 2.28 (2.31) Acct: 3.52 (3.56) proj_loss: -0.5815 (-0.5820) time: 0.3628 data: 0.0003 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.878 (6.874) Lt: 6.174 (6.196) Accm: 2.29 (2.31) Acct: 3.46 (3.54) proj_loss: -0.5889 (-0.5872) time: 0.4051 data: 0.0018 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:06 (0.363 s / it) [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.759 (6.742) Lt: 6.054 (6.034) Accm: 2.69 (2.71) Acct: 4.05 (4.16) proj_loss: -0.5974 (-0.5953) time: 0.4051 data: 0.0017 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.714 (6.709) Lt: 5.984 (5.992) Accm: 2.96 (2.91) Acct: 4.65 (4.56) proj_loss: -0.5897 (-0.5888) time: 0.4051 data: 0.0020 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.812 (6.794) Lt: 6.120 (6.139) Accm: 2.75 (2.75) Acct: 4.18 (4.15) proj_loss: -0.5846 (-0.5822) time: 0.4051 data: 0.0021 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:06 (0.363 s / it) [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:06 (0.363 s / it) [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:06 (0.363 s / it) [11-23 17:17:43] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.773 (6.776), Lt: 6.075 (6.082), Acc m&t: 2.68 4.20, Remain: 1 day, 10:20:00, Finish: 2024-11-24 11:37 [11-23 17:17:43] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.773 (6.776), Lt: 6.075 (6.082), Acc m&t: 2.68 4.20, Remain: 1 day, 10:18:52, Finish: 2024-11-24 11:36 [11-23 17:17:43] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.773 (6.776), Lt: 6.075 (6.082), Acc m&t: 2.68 4.20, Remain: 1 day, 10:19:17, Finish: 2024-11-24 11:37 [11-23 17:17:43] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.773 (6.776), Lt: 6.075 (6.082), Acc m&t: 2.68 4.20, Remain: 1 day, 10:20:05, Finish: 2024-11-24 11:37 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:32 tlr: 0.00015 tnm: 0.39 Lm: 6.792 (6.792) Lt: 6.098 (6.098) Accm: 3.00 (3.00) Acct: 4.58 (4.58) proj_loss: -0.6035 (-0.6035) time: 0.3429 data: 0.0003 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:32 tlr: 0.00015 tnm: 0.39 Lm: 6.705 (6.705) Lt: 6.009 (6.009) Accm: 3.17 (3.17) Acct: 4.84 (4.84) proj_loss: -0.6145 (-0.6145) time: 0.3428 data: 0.0003 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:33 tlr: 0.00015 tnm: 0.39 Lm: 6.774 (6.774) Lt: 6.122 (6.122) Accm: 2.83 (2.83) Acct: 4.17 (4.17) proj_loss: -0.5600 (-0.5600) time: 0.3436 data: 0.0004 [11-23 17:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:34 tlr: 0.00015 tnm: 0.39 Lm: 6.817 (6.817) Lt: 6.137 (6.137) Accm: 2.56 (2.56) Acct: 3.96 (3.96) proj_loss: -0.5914 (-0.5914) time: 0.3442 data: 0.0004 [11-23 17:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.798 (6.798) Lt: 6.117 (6.117) Accm: 2.62 (2.62) Acct: 4.06 (4.06) proj_loss: -0.6011 (-0.6011) time: 0.4492 data: 0.0003 [11-23 17:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.673 (6.673) Lt: 5.959 (5.959) Accm: 3.08 (3.08) Acct: 4.94 (4.94) proj_loss: -0.5981 (-0.5981) time: 0.4492 data: 0.0003 [11-23 17:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.845 (6.845) Lt: 6.164 (6.164) Accm: 2.78 (2.78) Acct: 4.30 (4.30) proj_loss: -0.6115 (-0.6115) time: 0.4492 data: 0.0003 [11-23 17:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.824 (6.824) Lt: 6.152 (6.152) Accm: 2.62 (2.62) Acct: 3.98 (3.98) proj_loss: -0.5687 (-0.5687) time: 0.4492 data: 0.0003 [11-23 17:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:21 tlr: 0.00015 tnm: 0.40 Lm: 6.829 (6.825) Lt: 6.140 (6.148) Accm: 2.48 (2.57) Acct: 3.91 (3.95) proj_loss: -0.5773 (-0.5732) time: 0.4532 data: 0.0003 [11-23 17:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:21 tlr: 0.00015 tnm: 0.40 Lm: 6.705 (6.704) Lt: 6.004 (5.974) Accm: 3.00 (2.94) Acct: 4.84 (4.73) proj_loss: -0.6008 (-0.5990) time: 0.4532 data: 0.0004 [11-23 17:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:21 tlr: 0.00015 tnm: 0.40 Lm: 6.792 (6.817) Lt: 6.098 (6.125) Accm: 2.56 (2.70) Acct: 4.01 (4.13) proj_loss: -0.6035 (-0.6067) time: 0.4532 data: 0.0003 [11-23 17:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:21 tlr: 0.00015 tnm: 0.40 Lm: 6.778 (6.743) Lt: 6.097 (6.048) Accm: 2.67 (2.64) Acct: 4.08 (4.07) proj_loss: -0.5914 (-0.5963) time: 0.4532 data: 0.0003 [11-23 17:25:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.38 Lm: 6.720 (6.722) Lt: 6.015 (6.019) Accm: 2.68 (2.66) Acct: 4.12 (4.18) proj_loss: -0.5913 (-0.5950) time: 0.3617 data: 0.0003 [11-23 17:25:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.38 Lm: 6.713 (6.708) Lt: 6.006 (5.983) Accm: 2.84 (2.88) Acct: 4.59 (4.63) proj_loss: -0.6011 (-0.5996) time: 0.3617 data: 0.0003 [11-23 17:25:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.38 Lm: 6.801 (6.784) Lt: 6.131 (6.080) Accm: 2.66 (2.64) Acct: 4.04 (4.10) proj_loss: -0.5799 (-0.5787) time: 0.3617 data: 0.0003 [11-23 17:25:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.38 Lm: 6.824 (6.827) Lt: 6.122 (6.131) Accm: 2.55 (2.66) Acct: 4.07 (4.13) proj_loss: -0.6004 (-0.6011) time: 0.3617 data: 0.0003 [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.721 (6.714) Lt: 6.004 (5.981) Accm: 2.83 (2.87) Acct: 4.60 (4.62) proj_loss: -0.6008 (-0.5958) time: 0.3631 data: 0.0017 [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.792 (6.810) Lt: 6.098 (6.114) Accm: 2.56 (2.68) Acct: 4.03 (4.11) proj_loss: -0.5973 (-0.5982) time: 0.3631 data: 0.0015 [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.774 (6.765) Lt: 6.122 (6.056) Accm: 2.83 (2.76) Acct: 4.17 (4.27) proj_loss: -0.5785 (-0.5787) time: 0.3631 data: 0.0019 [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.769 (6.732) Lt: 6.063 (6.028) Accm: 2.68 (2.69) Acct: 4.17 (4.30) proj_loss: -0.5912 (-0.5941) time: 0.3631 data: 0.0019 [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it) [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it) [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it) [11-23 17:28:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it) [11-23 17:30:24] (home/user/VAR/trainer.py, line 114)=> FID: 4.570547799708038 [11-23 17:30:24] (/home/user/VAR/train.py , line 259)=> [*] [ep149] (val 50000) Lm: 6.7718, Lt: 6.0675, Acc m&t: 2.67 4.22, Val cost: 130.37s [11-23 17:30:24] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 17:30:31] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.772 (6.772), Lt: 6.068 (6.068), Acc m&t: 2.68 4.22, Remain: 1 day, 9:47:30, Finish: 2024-11-24 11:15 [11-23 17:30:31] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.772 (6.772), Lt: 6.068 (6.068), Acc m&t: 2.68 4.22, Remain: 1 day, 9:48:33, Finish: 2024-11-24 11:16 [11-23 17:30:31] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.772 (6.772), Lt: 6.068 (6.068), Acc m&t: 2.68 4.22, Remain: 1 day, 9:47:31, Finish: 2024-11-24 11:15 [11-23 17:30:31] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.772 (6.772), Lt: 6.068 (6.068), Acc m&t: 2.68 4.22, Remain: 1 day, 9:48:07, Finish: 2024-11-24 11:16 [11-23 17:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:09:54 tlr: 0.00015 tnm: 0.38 Lm: 6.681 (6.681) Lt: 6.009 (6.009) Accm: 3.17 (3.17) Acct: 4.75 (4.75) proj_loss: -0.5995 (-0.5995) time: 0.3565 data: 0.0003 [11-23 17:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:09:53 tlr: 0.00015 tnm: 0.38 Lm: 6.739 (6.739) Lt: 6.066 (6.066) Accm: 2.77 (2.77) Acct: 4.24 (4.24) proj_loss: -0.5807 (-0.5807) time: 0.3557 data: 0.0003 [11-23 17:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:09:56 tlr: 0.00015 tnm: 0.38 Lm: 6.831 (6.831) Lt: 6.156 (6.156) Accm: 2.34 (2.34) Acct: 3.43 (3.43) proj_loss: -0.5748 (-0.5748) time: 0.3575 data: 0.0004 [11-23 17:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:09:54 tlr: 0.00015 tnm: 0.38 Lm: 6.726 (6.726) Lt: 5.998 (5.998) Accm: 2.71 (2.71) Acct: 4.29 (4.29) proj_loss: -0.5918 (-0.5918) time: 0.3559 data: 0.0003 [11-23 17:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.38 Lm: 6.767 (6.767) Lt: 6.071 (6.071) Accm: 2.63 (2.63) Acct: 4.15 (4.15) proj_loss: -0.5942 (-0.5942) time: 0.3638 data: 0.0003 [11-23 17:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.38 Lm: 6.810 (6.810) Lt: 6.128 (6.128) Accm: 2.51 (2.51) Acct: 3.84 (3.84) proj_loss: -0.5815 (-0.5815) time: 0.3638 data: 0.0003 [11-23 17:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.38 Lm: 6.715 (6.715) Lt: 6.029 (6.029) Accm: 3.02 (3.02) Acct: 4.60 (4.60) proj_loss: -0.5977 (-0.5977) time: 0.3638 data: 0.0003 [11-23 17:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:34 tlr: 0.00015 tnm: 0.38 Lm: 6.725 (6.725) Lt: 6.059 (6.059) Accm: 2.78 (2.78) Acct: 4.24 (4.24) proj_loss: -0.5803 (-0.5803) time: 0.3638 data: 0.0003 [11-23 17:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.40 Lm: 6.739 (6.757) Lt: 6.066 (6.087) Accm: 2.77 (2.71) Acct: 4.24 (4.17) proj_loss: -0.5807 (-0.5836) time: 0.3645 data: 0.0003 [11-23 17:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.40 Lm: 6.681 (6.639) Lt: 6.009 (5.949) Accm: 3.17 (3.26) Acct: 4.75 (4.96) proj_loss: -0.5958 (-0.5938) time: 0.3645 data: 0.0003 [11-23 17:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.40 Lm: 6.808 (6.797) Lt: 6.144 (6.106) Accm: 2.54 (2.51) Acct: 4.01 (3.97) proj_loss: -0.5918 (-0.5837) time: 0.3645 data: 0.0003 [11-23 17:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.40 Lm: 6.790 (6.803) Lt: 6.114 (6.123) Accm: 2.69 (2.58) Acct: 4.13 (3.94) proj_loss: -0.5841 (-0.5824) time: 0.3645 data: 0.0003 [11-23 17:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.36 Lm: 6.789 (6.781) Lt: 6.107 (6.099) Accm: 2.70 (2.61) Acct: 4.19 (4.05) proj_loss: -0.5807 (-0.5811) time: 0.3614 data: 0.0002 [11-23 17:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.36 Lm: 6.715 (6.680) Lt: 6.029 (5.983) Accm: 3.02 (3.13) Acct: 4.60 (4.77) proj_loss: -0.5909 (-0.5891) time: 0.3614 data: 0.0003 [11-23 17:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.36 Lm: 6.780 (6.786) Lt: 6.071 (6.074) Accm: 2.61 (2.55) Acct: 4.15 (4.07) proj_loss: -0.5849 (-0.5823) time: 0.3614 data: 0.0003 [11-23 17:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.36 Lm: 6.777 (6.772) Lt: 6.096 (6.097) Accm: 2.67 (2.66) Acct: 4.13 (4.07) proj_loss: -0.5854 (-0.5869) time: 0.3614 data: 0.0003 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.814 (6.811) Lt: 6.126 (6.144) Accm: 2.58 (2.52) Acct: 4.03 (3.88) proj_loss: -0.5849 (-0.5865) time: 0.3634 data: 0.0016 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.773 (6.783) Lt: 6.097 (6.078) Accm: 2.54 (2.55) Acct: 4.13 (4.08) proj_loss: -0.5909 (-0.5840) time: 0.3634 data: 0.0020 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.788 (6.774) Lt: 6.099 (6.088) Accm: 2.70 (2.67) Acct: 4.25 (4.14) proj_loss: -0.5841 (-0.5860) time: 0.3634 data: 0.0020 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.749 (6.707) Lt: 6.049 (6.013) Accm: 2.87 (3.04) Acct: 4.44 (4.61) proj_loss: -0.5860 (-0.5848) time: 0.3634 data: 0.0016 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:07 (0.364 s / it) [11-23 17:40:39] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.772 (6.778), Lt: 6.068 (6.081), Acc m&t: 2.70 4.22, Remain: 1 day, 9:37:25, Finish: 2024-11-24 11:18 [11-23 17:40:39] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.772 (6.778), Lt: 6.068 (6.081), Acc m&t: 2.70 4.22, Remain: 1 day, 9:37:45, Finish: 2024-11-24 11:18 [11-23 17:40:39] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.772 (6.778), Lt: 6.068 (6.081), Acc m&t: 2.70 4.22, Remain: 1 day, 9:37:22, Finish: 2024-11-24 11:18 [11-23 17:40:39] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.772 (6.778), Lt: 6.068 (6.081), Acc m&t: 2.70 4.22, Remain: 1 day, 9:37:40, Finish: 2024-11-24 11:18 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:44 tlr: 0.00015 tnm: 0.40 Lm: 6.753 (6.753) Lt: 6.024 (6.024) Accm: 2.75 (2.75) Acct: 4.29 (4.29) proj_loss: -0.5924 (-0.5924) time: 0.3504 data: 0.0003 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.40 Lm: 6.664 (6.664) Lt: 5.951 (5.951) Accm: 2.87 (2.87) Acct: 4.48 (4.48) proj_loss: -0.5808 (-0.5808) time: 0.3521 data: 0.0003 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.40 Lm: 6.943 (6.943) Lt: 6.277 (6.277) Accm: 2.45 (2.45) Acct: 3.70 (3.70) proj_loss: -0.5806 (-0.5806) time: 0.3520 data: 0.0003 [11-23 17:40:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.40 Lm: 6.665 (6.665) Lt: 5.924 (5.924) Accm: 2.96 (2.96) Acct: 4.79 (4.79) proj_loss: -0.5719 (-0.5719) time: 0.3520 data: 0.0004 [11-23 17:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.654 (6.654) Lt: 5.920 (5.920) Accm: 3.02 (3.02) Acct: 4.88 (4.88) proj_loss: -0.5816 (-0.5816) time: 0.3602 data: 0.0003 [11-23 17:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.719 (6.719) Lt: 5.992 (5.992) Accm: 2.79 (2.79) Acct: 4.37 (4.37) proj_loss: -0.5981 (-0.5981) time: 0.3602 data: 0.0003 [11-23 17:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.761 (6.761) Lt: 6.086 (6.086) Accm: 2.81 (2.81) Acct: 4.20 (4.20) proj_loss: -0.5743 (-0.5743) time: 0.3602 data: 0.0003 [11-23 17:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.38 Lm: 6.755 (6.755) Lt: 6.050 (6.050) Accm: 2.58 (2.58) Acct: 3.96 (3.96) proj_loss: -0.5962 (-0.5962) time: 0.3602 data: 0.0003 [11-23 17:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.664 (6.677) Lt: 5.951 (5.952) Accm: 2.87 (2.84) Acct: 4.48 (4.51) proj_loss: -0.5865 (-0.5929) time: 0.3611 data: 0.0002 [11-23 17:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.665 (6.684) Lt: 5.924 (5.972) Accm: 2.96 (2.93) Acct: 4.79 (4.70) proj_loss: -0.5913 (-0.5961) time: 0.3611 data: 0.0003 [11-23 17:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.943 (6.834) Lt: 6.277 (6.155) Accm: 2.45 (2.60) Acct: 3.70 (3.87) proj_loss: -0.5727 (-0.5738) time: 0.3611 data: 0.0003 [11-23 17:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.753 (6.734) Lt: 6.024 (6.013) Accm: 2.79 (2.79) Acct: 4.29 (4.33) proj_loss: -0.5924 (-0.5959) time: 0.3611 data: 0.0003 [11-23 17:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.758 (6.780) Lt: 6.039 (6.077) Accm: 2.77 (2.69) Acct: 4.26 (4.14) proj_loss: -0.5958 (-0.5967) time: 0.3615 data: 0.0003 [11-23 17:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.714 (6.699) Lt: 5.983 (5.967) Accm: 2.81 (2.82) Acct: 4.50 (4.52) proj_loss: -0.5836 (-0.5864) time: 0.3615 data: 0.0002 [11-23 17:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.830 (6.805) Lt: 6.132 (6.113) Accm: 2.72 (2.69) Acct: 4.15 (4.05) proj_loss: -0.5767 (-0.5786) time: 0.3615 data: 0.0003 [11-23 17:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.691 (6.692) Lt: 5.936 (5.965) Accm: 2.97 (2.94) Acct: 4.76 (4.71) proj_loss: -0.5816 (-0.5885) time: 0.3615 data: 0.0003 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.717 (6.707) Lt: 5.947 (5.987) Accm: 2.96 (2.86) Acct: 4.73 (4.58) proj_loss: -0.5913 (-0.5908) time: 0.3669 data: 0.0014 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:06 (0.364 s / it) [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.764 (6.789) Lt: 6.054 (6.091) Accm: 2.75 (2.69) Acct: 4.24 (4.13) proj_loss: -0.5993 (-0.5985) time: 0.3669 data: 0.0018 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.764 (6.721) Lt: 6.015 (5.988) Accm: 2.75 (2.74) Acct: 4.48 (4.40) proj_loss: -0.5855 (-0.5862) time: 0.3670 data: 0.0016 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.40 Lm: 6.717 (6.785) Lt: 5.988 (6.080) Accm: 2.80 (2.71) Acct: 4.60 (4.17) proj_loss: -0.5727 (-0.5767) time: 0.3669 data: 0.0020 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:06 (0.364 s / it) [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:06 (0.364 s / it) [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:06 (0.364 s / it) [11-23 17:50:46] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.768 (6.768), Lt: 6.068 (6.068), Acc m&t: 2.72 4.24, Remain: 1 day, 9:49:46, Finish: 2024-11-24 11:40 [11-23 17:50:46] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.768 (6.768), Lt: 6.068 (6.068), Acc m&t: 2.72 4.24, Remain: 1 day, 9:47:49, Finish: 2024-11-24 11:38 [11-23 17:50:46] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.768 (6.768), Lt: 6.068 (6.068), Acc m&t: 2.72 4.24, Remain: 1 day, 9:49:31, Finish: 2024-11-24 11:40 [11-23 17:50:46] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.768 (6.768), Lt: 6.068 (6.068), Acc m&t: 2.72 4.24, Remain: 1 day, 9:47:00, Finish: 2024-11-24 11:37 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:09:45 tlr: 0.00015 tnm: 0.38 Lm: 6.637 (6.637) Lt: 5.947 (5.947) Accm: 2.84 (2.84) Acct: 4.58 (4.58) proj_loss: -0.5678 (-0.5678) time: 0.3510 data: 0.0003 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:09:46 tlr: 0.00015 tnm: 0.38 Lm: 6.691 (6.691) Lt: 6.053 (6.053) Accm: 3.03 (3.03) Acct: 4.60 (4.60) proj_loss: -0.6074 (-0.6074) time: 0.3515 data: 0.0003 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:09:37 tlr: 0.00015 tnm: 0.38 Lm: 6.939 (6.939) Lt: 6.262 (6.262) Accm: 2.15 (2.15) Acct: 3.53 (3.53) proj_loss: -0.5887 (-0.5887) time: 0.3462 data: 0.0003 [11-23 17:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:09:46 tlr: 0.00015 tnm: 0.38 Lm: 6.657 (6.657) Lt: 5.984 (5.984) Accm: 2.83 (2.83) Acct: 4.51 (4.51) proj_loss: -0.6015 (-0.6015) time: 0.3517 data: 0.0004 [11-23 17:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:08:06 tlr: 0.00015 tnm: 0.40 Lm: 6.637 (6.637) Lt: 5.930 (5.930) Accm: 3.07 (3.07) Acct: 4.81 (4.81) proj_loss: -0.5914 (-0.5914) time: 0.4122 data: 0.0003 [11-23 17:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:08:06 tlr: 0.00015 tnm: 0.40 Lm: 6.740 (6.740) Lt: 6.086 (6.086) Accm: 2.91 (2.91) Acct: 4.40 (4.40) proj_loss: -0.5990 (-0.5990) time: 0.4122 data: 0.0003 [11-23 17:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:08:06 tlr: 0.00015 tnm: 0.40 Lm: 6.831 (6.831) Lt: 6.158 (6.158) Accm: 2.40 (2.40) Acct: 3.83 (3.83) proj_loss: -0.5928 (-0.5928) time: 0.4122 data: 0.0002 [11-23 17:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:08:06 tlr: 0.00015 tnm: 0.40 Lm: 6.676 (6.676) Lt: 6.002 (6.002) Accm: 2.79 (2.79) Acct: 4.49 (4.49) proj_loss: -0.5803 (-0.5803) time: 0.4123 data: 0.0003 [11-23 17:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:24 tlr: 0.00015 tnm: 0.38 Lm: 6.716 (6.723) Lt: 6.057 (6.053) Accm: 2.74 (2.69) Acct: 4.39 (4.32) proj_loss: -0.5797 (-0.5801) time: 0.3681 data: 0.0003 [11-23 17:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:24 tlr: 0.00015 tnm: 0.38 Lm: 6.790 (6.772) Lt: 6.119 (6.105) Accm: 2.79 (2.80) Acct: 4.20 (4.23) proj_loss: -0.6062 (-0.6014) time: 0.3681 data: 0.0003 [11-23 17:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:24 tlr: 0.00015 tnm: 0.38 Lm: 6.657 (6.675) Lt: 5.984 (5.978) Accm: 2.83 (2.90) Acct: 4.51 (4.49) proj_loss: -0.5874 (-0.5900) time: 0.3681 data: 0.0002 [11-23 17:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:24 tlr: 0.00015 tnm: 0.38 Lm: 6.892 (6.852) Lt: 6.186 (6.167) Accm: 2.47 (2.42) Acct: 3.72 (3.79) proj_loss: -0.5954 (-0.5936) time: 0.3681 data: 0.0003 [11-23 17:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:40 tlr: 0.00015 tnm: 0.38 Lm: 6.822 (6.826) Lt: 6.119 (6.132) Accm: 2.56 (2.60) Acct: 3.93 (4.06) proj_loss: -0.5921 (-0.5913) time: 0.4056 data: 0.0002 [11-23 17:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:40 tlr: 0.00015 tnm: 0.38 Lm: 6.806 (6.784) Lt: 6.131 (6.117) Accm: 2.68 (2.74) Acct: 4.05 (4.15) proj_loss: -0.5984 (-0.5974) time: 0.4056 data: 0.0003 [11-23 17:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:40 tlr: 0.00015 tnm: 0.38 Lm: 6.698 (6.691) Lt: 6.015 (5.995) Accm: 2.82 (2.88) Acct: 4.31 (4.39) proj_loss: -0.5843 (-0.5867) time: 0.4056 data: 0.0003 [11-23 17:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:40 tlr: 0.00015 tnm: 0.38 Lm: 6.767 (6.783) Lt: 6.106 (6.123) Accm: 2.62 (2.58) Acct: 4.18 (4.13) proj_loss: -0.5785 (-0.5794) time: 0.4056 data: 0.0003 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.817 (6.792) Lt: 6.143 (6.127) Accm: 2.73 (2.61) Acct: 4.30 (4.16) proj_loss: -0.5792 (-0.5794) time: 0.3653 data: 0.0014 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:31 (0.378 s / it) [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.739 (6.721) Lt: 6.047 (6.030) Accm: 2.80 (2.79) Acct: 4.12 (4.32) proj_loss: -0.5874 (-0.5903) time: 0.3653 data: 0.0019 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.822 (6.807) Lt: 6.142 (6.147) Accm: 2.58 (2.64) Acct: 3.89 (4.00) proj_loss: -0.5907 (-0.5961) time: 0.3653 data: 0.0020 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.817 (6.825) Lt: 6.120 (6.130) Accm: 2.53 (2.58) Acct: 4.01 (4.05) proj_loss: -0.5954 (-0.5921) time: 0.3653 data: 0.0018 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:31 (0.378 s / it) [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:31 (0.378 s / it) [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:31 (0.378 s / it) [11-23 18:01:17] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:29:42, Finish: 2024-11-24 11:30 [11-23 18:01:17] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:28:43, Finish: 2024-11-24 11:30 [11-23 18:01:17] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:27:24, Finish: 2024-11-24 11:28 [11-23 18:01:17] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:28:42, Finish: 2024-11-24 11:29 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:42 tlr: 0.00015 tnm: 0.39 Lm: 6.873 (6.873) Lt: 6.177 (6.177) Accm: 2.28 (2.28) Acct: 3.58 (3.58) proj_loss: -0.5624 (-0.5624) time: 0.3493 data: 0.0004 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:44 tlr: 0.00015 tnm: 0.39 Lm: 6.820 (6.820) Lt: 6.109 (6.109) Accm: 2.61 (2.61) Acct: 4.06 (4.06) proj_loss: -0.5996 (-0.5996) time: 0.3504 data: 0.0003 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:51 tlr: 0.00015 tnm: 0.39 Lm: 6.816 (6.816) Lt: 6.129 (6.129) Accm: 2.47 (2.47) Acct: 3.99 (3.99) proj_loss: -0.5974 (-0.5974) time: 0.3545 data: 0.0004 [11-23 18:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:43 tlr: 0.00015 tnm: 0.39 Lm: 6.837 (6.837) Lt: 6.195 (6.195) Accm: 2.42 (2.42) Acct: 3.72 (3.72) proj_loss: -0.6069 (-0.6069) time: 0.3498 data: 0.0003 [11-23 18:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.827 (6.827) Lt: 6.140 (6.140) Accm: 2.52 (2.52) Acct: 3.93 (3.93) proj_loss: -0.5716 (-0.5716) time: 0.3625 data: 0.0003 [11-23 18:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.833 (6.833) Lt: 6.136 (6.136) Accm: 2.62 (2.62) Acct: 4.08 (4.08) proj_loss: -0.6040 (-0.6040) time: 0.3625 data: 0.0002 [11-23 18:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.764 (6.764) Lt: 6.065 (6.065) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: -0.5947 (-0.5947) time: 0.3625 data: 0.0003 [11-23 18:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.39 Lm: 6.738 (6.738) Lt: 6.063 (6.063) Accm: 2.72 (2.72) Acct: 4.22 (4.22) proj_loss: -0.5929 (-0.5929) time: 0.3625 data: 0.0003 [11-23 18:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.690 (6.722) Lt: 6.004 (6.043) Accm: 2.80 (2.75) Acct: 4.42 (4.29) proj_loss: -0.5941 (-0.5933) time: 0.3649 data: 0.0002 [11-23 18:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.782 (6.811) Lt: 6.103 (6.110) Accm: 2.63 (2.56) Acct: 4.01 (3.95) proj_loss: -0.5807 (-0.5801) time: 0.3649 data: 0.0003 [11-23 18:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.816 (6.805) Lt: 6.129 (6.116) Accm: 2.48 (2.61) Acct: 4.15 (4.14) proj_loss: -0.5954 (-0.5949) time: 0.3649 data: 0.0003 [11-23 18:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.820 (6.816) Lt: 6.109 (6.125) Accm: 2.61 (2.61) Acct: 4.06 (4.03) proj_loss: -0.5996 (-0.5978) time: 0.3649 data: 0.0002 [11-23 18:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.833 (6.826) Lt: 6.136 (6.143) Accm: 2.60 (2.58) Acct: 4.00 (3.96) proj_loss: -0.5925 (-0.5903) time: 0.3634 data: 0.0003 [11-23 18:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.783 (6.804) Lt: 6.076 (6.090) Accm: 2.58 (2.55) Acct: 4.11 (4.02) proj_loss: -0.5826 (-0.5812) time: 0.3634 data: 0.0003 [11-23 18:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.783 (6.791) Lt: 6.099 (6.105) Accm: 2.62 (2.65) Acct: 4.21 (4.18) proj_loss: -0.5936 (-0.5932) time: 0.3634 data: 0.0003 [11-23 18:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.763 (6.756) Lt: 6.094 (6.078) Accm: 2.62 (2.67) Acct: 4.09 (4.15) proj_loss: -0.5865 (-0.5882) time: 0.3634 data: 0.0003 [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.797 (6.764) Lt: 6.118 (6.086) Accm: 2.51 (2.64) Acct: 3.77 (4.08) proj_loss: -0.5865 (-0.5879) time: 0.3661 data: 0.0016 [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.750 (6.763) Lt: 6.070 (6.073) Accm: 2.76 (2.74) Acct: 4.27 (4.28) proj_loss: -0.5954 (-0.5998) time: 0.3661 data: 0.0019 [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.820 (6.801) Lt: 6.109 (6.116) Accm: 2.61 (2.64) Acct: 4.06 (4.10) proj_loss: -0.5854 (-0.5888) time: 0.3661 data: 0.0018 [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.782 (6.794) Lt: 6.067 (6.085) Accm: 2.62 (2.56) Acct: 4.20 (4.05) proj_loss: -0.5845 (-0.5822) time: 0.3661 data: 0.0017 [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:11:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:11:22] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:29:11, Finish: 2024-11-24 11:40 [11-23 18:11:22] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:29:31, Finish: 2024-11-24 11:40 [11-23 18:11:22] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:28:53, Finish: 2024-11-24 11:40 [11-23 18:11:22] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.768 (6.779), Lt: 6.068 (6.082), Acc m&t: 2.72 4.24, Remain: 1 day, 9:28:58, Finish: 2024-11-24 11:40 [11-23 18:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:01 tlr: 0.00015 tnm: 0.39 Lm: 6.718 (6.718) Lt: 5.991 (5.991) Accm: 2.88 (2.88) Acct: 4.30 (4.30) proj_loss: -0.5885 (-0.5885) time: 0.3602 data: 0.0004 [11-23 18:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:02 tlr: 0.00015 tnm: 0.39 Lm: 6.668 (6.668) Lt: 5.921 (5.921) Accm: 3.03 (3.03) Acct: 4.84 (4.84) proj_loss: -0.5958 (-0.5958) time: 0.3611 data: 0.0004 [11-23 18:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:01 tlr: 0.00015 tnm: 0.39 Lm: 6.817 (6.817) Lt: 6.141 (6.141) Accm: 2.38 (2.38) Acct: 3.77 (3.77) proj_loss: -0.5923 (-0.5923) time: 0.3606 data: 0.0003 [11-23 18:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:02 tlr: 0.00015 tnm: 0.39 Lm: 6.706 (6.706) Lt: 6.020 (6.020) Accm: 2.65 (2.65) Acct: 4.27 (4.27) proj_loss: -0.5947 (-0.5947) time: 0.3609 data: 0.0004 [11-23 18:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:38 tlr: 0.00015 tnm: 0.39 Lm: 6.712 (6.712) Lt: 6.056 (6.056) Accm: 2.56 (2.56) Acct: 4.08 (4.08) proj_loss: -0.5978 (-0.5978) time: 0.3622 data: 0.0003 [11-23 18:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:38 tlr: 0.00015 tnm: 0.39 Lm: 6.714 (6.714) Lt: 5.993 (5.993) Accm: 2.86 (2.86) Acct: 4.48 (4.48) proj_loss: -0.5915 (-0.5915) time: 0.3622 data: 0.0003 [11-23 18:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:38 tlr: 0.00015 tnm: 0.39 Lm: 6.687 (6.687) Lt: 5.945 (5.945) Accm: 2.89 (2.89) Acct: 4.56 (4.56) proj_loss: -0.5951 (-0.5951) time: 0.3622 data: 0.0003 [11-23 18:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:38 tlr: 0.00015 tnm: 0.39 Lm: 6.857 (6.857) Lt: 6.159 (6.159) Accm: 2.29 (2.29) Acct: 3.54 (3.54) proj_loss: -0.5859 (-0.5859) time: 0.3622 data: 0.0003 [11-23 18:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:04 tlr: 0.00014 tnm: 0.39 Lm: 6.817 (6.832) Lt: 6.141 (6.146) Accm: 2.38 (2.46) Acct: 3.77 (3.82) proj_loss: -0.5843 (-0.5853) time: 0.3623 data: 0.0003 [11-23 18:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:04 tlr: 0.00014 tnm: 0.39 Lm: 6.718 (6.703) Lt: 5.991 (5.984) Accm: 2.88 (2.81) Acct: 4.30 (4.43) proj_loss: -0.5906 (-0.5936) time: 0.3623 data: 0.0003 [11-23 18:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:04 tlr: 0.00014 tnm: 0.39 Lm: 6.759 (6.736) Lt: 6.017 (6.001) Accm: 2.68 (2.79) Acct: 4.36 (4.44) proj_loss: -0.5885 (-0.5905) time: 0.3623 data: 0.0003 [11-23 18:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:04 tlr: 0.00014 tnm: 0.39 Lm: 6.706 (6.699) Lt: 6.020 (6.016) Accm: 2.65 (2.78) Acct: 4.27 (4.41) proj_loss: -0.5947 (-0.5935) time: 0.3623 data: 0.0003 [11-23 18:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.38 Lm: 6.712 (6.736) Lt: 6.056 (6.060) Accm: 2.59 (2.72) Acct: 4.08 (4.26) proj_loss: -0.5978 (-0.5972) time: 0.3622 data: 0.0003 [11-23 18:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.38 Lm: 6.727 (6.733) Lt: 6.027 (6.012) Accm: 2.77 (2.76) Acct: 4.29 (4.39) proj_loss: -0.5961 (-0.5978) time: 0.3622 data: 0.0003 [11-23 18:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.38 Lm: 6.714 (6.709) Lt: 5.969 (5.975) Accm: 2.79 (2.82) Acct: 4.54 (4.51) proj_loss: -0.5902 (-0.5909) time: 0.3622 data: 0.0003 [11-23 18:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.38 Lm: 6.799 (6.796) Lt: 6.130 (6.102) Accm: 2.59 (2.58) Acct: 4.08 (4.02) proj_loss: -0.5883 (-0.5876) time: 0.3622 data: 0.0003 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.781 (6.788) Lt: 6.119 (6.088) Accm: 2.62 (2.59) Acct: 4.18 (4.06) proj_loss: -0.5923 (-0.5930) time: 0.3651 data: 0.0016 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:11 (0.366 s / it) [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.735 (6.778) Lt: 6.063 (6.073) Accm: 2.66 (2.64) Acct: 4.27 (4.22) proj_loss: -0.6016 (-0.5992) time: 0.3651 data: 0.0021 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.718 (6.765) Lt: 6.092 (6.083) Accm: 2.53 (2.68) Acct: 4.06 (4.22) proj_loss: -0.5947 (-0.5924) time: 0.3651 data: 0.0017 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.725 (6.712) Lt: 5.963 (5.972) Accm: 2.76 (2.81) Acct: 4.39 (4.48) proj_loss: -0.5885 (-0.5869) time: 0.3651 data: 0.0020 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:11 (0.366 s / it) [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:11 (0.366 s / it) [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:11 (0.366 s / it) [11-23 18:21:34] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.768 (6.783), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 9:12:12, Finish: 2024-11-24 11:33 [11-23 18:21:34] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.768 (6.783), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 9:12:44, Finish: 2024-11-24 11:34 [11-23 18:21:34] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.768 (6.783), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 9:12:31, Finish: 2024-11-24 11:34 [11-23 18:21:34] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.768 (6.783), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 9:11:59, Finish: 2024-11-24 11:33 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:40 tlr: 0.00014 tnm: 0.37 Lm: 6.854 (6.854) Lt: 6.166 (6.166) Accm: 2.44 (2.44) Acct: 3.55 (3.55) proj_loss: -0.5951 (-0.5951) time: 0.3476 data: 0.0004 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:40 tlr: 0.00014 tnm: 0.37 Lm: 6.710 (6.710) Lt: 5.964 (5.964) Accm: 2.64 (2.64) Acct: 4.20 (4.20) proj_loss: -0.5926 (-0.5926) time: 0.3479 data: 0.0004 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:40 tlr: 0.00014 tnm: 0.37 Lm: 6.827 (6.827) Lt: 6.111 (6.111) Accm: 2.53 (2.53) Acct: 3.98 (3.98) proj_loss: -0.5847 (-0.5847) time: 0.3480 data: 0.0003 [11-23 18:21:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:41 tlr: 0.00014 tnm: 0.37 Lm: 6.582 (6.582) Lt: 5.906 (5.906) Accm: 3.20 (3.20) Acct: 5.04 (5.04) proj_loss: -0.5922 (-0.5922) time: 0.3481 data: 0.0003 [11-23 18:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:08:03 tlr: 0.00014 tnm: 0.38 Lm: 6.708 (6.708) Lt: 6.035 (6.035) Accm: 2.80 (2.80) Acct: 4.51 (4.51) proj_loss: -0.6005 (-0.6005) time: 0.4046 data: 0.0003 [11-23 18:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:08:03 tlr: 0.00014 tnm: 0.38 Lm: 6.767 (6.767) Lt: 6.027 (6.027) Accm: 2.58 (2.58) Acct: 4.10 (4.10) proj_loss: -0.5904 (-0.5904) time: 0.4046 data: 0.0003 [11-23 18:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:08:03 tlr: 0.00014 tnm: 0.38 Lm: 6.861 (6.861) Lt: 6.188 (6.188) Accm: 2.46 (2.46) Acct: 3.93 (3.93) proj_loss: -0.5927 (-0.5927) time: 0.4046 data: 0.0003 [11-23 18:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:08:03 tlr: 0.00014 tnm: 0.38 Lm: 6.838 (6.838) Lt: 6.146 (6.146) Accm: 2.52 (2.52) Acct: 3.73 (3.73) proj_loss: -0.5824 (-0.5824) time: 0.4046 data: 0.0002 [11-23 18:26:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 6.854 (6.846) Lt: 6.166 (6.163) Accm: 2.44 (2.44) Acct: 3.55 (3.59) proj_loss: -0.5852 (-0.5834) time: 0.3626 data: 0.0003 [11-23 18:26:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 6.833 (6.762) Lt: 6.164 (6.093) Accm: 2.46 (2.69) Acct: 3.98 (4.29) proj_loss: -0.5922 (-0.5923) time: 0.3626 data: 0.0003 [11-23 18:26:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 6.710 (6.706) Lt: 5.964 (5.974) Accm: 2.64 (2.68) Acct: 4.18 (4.13) proj_loss: -0.5926 (-0.5964) time: 0.3626 data: 0.0003 [11-23 18:26:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 6.827 (6.834) Lt: 6.111 (6.147) Accm: 2.53 (2.49) Acct: 3.98 (3.95) proj_loss: -0.6008 (-0.5961) time: 0.3626 data: 0.0003 [11-23 18:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.852 (6.844) Lt: 6.162 (6.163) Accm: 2.53 (2.50) Acct: 3.94 (3.94) proj_loss: -0.6013 (-0.5976) time: 0.3642 data: 0.0003 [11-23 18:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.813 (6.770) Lt: 6.114 (6.085) Accm: 2.57 (2.69) Acct: 4.05 (4.24) proj_loss: -0.5839 (-0.5865) time: 0.3642 data: 0.0003 [11-23 18:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.838 (6.810) Lt: 6.146 (6.135) Accm: 2.52 (2.56) Acct: 3.73 (3.80) proj_loss: -0.5899 (-0.5861) time: 0.3642 data: 0.0003 [11-23 18:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.767 (6.756) Lt: 6.027 (6.032) Accm: 2.58 (2.60) Acct: 4.11 (4.10) proj_loss: -0.5904 (-0.5925) time: 0.3642 data: 0.0003 [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.712 (6.747) Lt: 6.044 (6.034) Accm: 2.64 (2.67) Acct: 4.18 (4.18) proj_loss: -0.5926 (-0.5939) time: 0.3641 data: 0.0018 [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:27 (0.376 s / it) [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.792 (6.756) Lt: 6.063 (6.065) Accm: 2.68 (2.77) Acct: 4.12 (4.35) proj_loss: -0.5922 (-0.5890) time: 0.3641 data: 0.0019 [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.827 (6.812) Lt: 6.111 (6.132) Accm: 2.53 (2.57) Acct: 3.98 (3.96) proj_loss: -0.6008 (-0.5965) time: 0.3641 data: 0.0019 [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.822 (6.812) Lt: 6.126 (6.129) Accm: 2.44 (2.53) Acct: 3.79 (3.79) proj_loss: -0.5852 (-0.5849) time: 0.3641 data: 0.0015 [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:27 (0.376 s / it) [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:27 (0.376 s / it) [11-23 18:32:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:27 (0.376 s / it) [11-23 18:32:01] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.768 (6.781), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 8:46:34, Finish: 2024-11-24 11:18 [11-23 18:32:01] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.768 (6.781), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 8:49:27, Finish: 2024-11-24 11:21 [11-23 18:32:01] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.768 (6.781), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 8:46:58, Finish: 2024-11-24 11:18 [11-23 18:32:01] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.768 (6.781), Lt: 6.068 (6.089), Acc m&t: 2.72 4.24, Remain: 1 day, 8:47:04, Finish: 2024-11-24 11:19 [11-23 18:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:09:32 tlr: 0.00014 tnm: 0.38 Lm: 6.950 (6.950) Lt: 6.280 (6.280) Accm: 2.21 (2.21) Acct: 3.46 (3.46) proj_loss: -0.5845 (-0.5845) time: 0.3430 data: 0.0004 [11-23 18:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:09:32 tlr: 0.00014 tnm: 0.38 Lm: 6.698 (6.698) Lt: 5.971 (5.971) Accm: 2.83 (2.83) Acct: 4.36 (4.36) proj_loss: -0.5855 (-0.5855) time: 0.3433 data: 0.0004 [11-23 18:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:09:34 tlr: 0.00014 tnm: 0.38 Lm: 6.557 (6.557) Lt: 5.840 (5.840) Accm: 3.29 (3.29) Acct: 5.20 (5.20) proj_loss: -0.5770 (-0.5770) time: 0.3441 data: 0.0003 [11-23 18:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:09:34 tlr: 0.00014 tnm: 0.38 Lm: 6.730 (6.730) Lt: 6.006 (6.006) Accm: 2.92 (2.92) Acct: 4.51 (4.51) proj_loss: -0.5745 (-0.5745) time: 0.3441 data: 0.0004 [11-23 18:34:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.37 Lm: 6.702 (6.702) Lt: 5.960 (5.960) Accm: 3.04 (3.04) Acct: 4.76 (4.76) proj_loss: -0.5844 (-0.5844) time: 0.3627 data: 0.0003 [11-23 18:34:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.37 Lm: 6.704 (6.704) Lt: 5.987 (5.987) Accm: 3.04 (3.04) Acct: 4.86 (4.86) proj_loss: -0.5921 (-0.5921) time: 0.3627 data: 0.0003 [11-23 18:34:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.37 Lm: 6.890 (6.890) Lt: 6.218 (6.218) Accm: 2.44 (2.44) Acct: 3.76 (3.76) proj_loss: -0.5892 (-0.5892) time: 0.3627 data: 0.0003 [11-23 18:34:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.37 Lm: 6.672 (6.672) Lt: 5.988 (5.988) Accm: 2.92 (2.92) Acct: 4.59 (4.59) proj_loss: -0.5880 (-0.5880) time: 0.3627 data: 0.0002 [11-23 18:37:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.722 (6.689) Lt: 5.972 (5.983) Accm: 2.80 (2.88) Acct: 4.25 (4.48) proj_loss: -0.5940 (-0.5900) time: 0.3626 data: 0.0002 [11-23 18:37:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.711 (6.721) Lt: 6.003 (6.008) Accm: 2.83 (2.90) Acct: 4.36 (4.67) proj_loss: -0.5871 (-0.5904) time: 0.3626 data: 0.0003 [11-23 18:37:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.830 (6.826) Lt: 6.156 (6.141) Accm: 2.67 (2.54) Acct: 4.06 (3.94) proj_loss: -0.5939 (-0.5917) time: 0.3626 data: 0.0003 [11-23 18:37:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.730 (6.742) Lt: 6.006 (6.012) Accm: 2.92 (2.80) Acct: 4.51 (4.41) proj_loss: -0.5875 (-0.5854) time: 0.3626 data: 0.0003 [11-23 18:39:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.38 Lm: 6.740 (6.744) Lt: 6.010 (6.013) Accm: 2.91 (2.83) Acct: 4.54 (4.45) proj_loss: -0.5889 (-0.5867) time: 0.3628 data: 0.0003 [11-23 18:39:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.38 Lm: 6.706 (6.716) Lt: 5.987 (5.996) Accm: 2.92 (2.93) Acct: 4.59 (4.70) proj_loss: -0.5863 (-0.5888) time: 0.3628 data: 0.0003 [11-23 18:39:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.38 Lm: 6.726 (6.699) Lt: 6.022 (6.005) Accm: 2.77 (2.84) Acct: 4.18 (4.39) proj_loss: -0.5896 (-0.5888) time: 0.3628 data: 0.0003 [11-23 18:39:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.38 Lm: 6.822 (6.823) Lt: 6.150 (6.142) Accm: 2.59 (2.54) Acct: 3.99 (3.93) proj_loss: -0.5953 (-0.5936) time: 0.3628 data: 0.0003 [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.829 (6.824) Lt: 6.145 (6.141) Accm: 2.55 (2.54) Acct: 4.06 (3.99) proj_loss: -0.5939 (-0.5923) time: 0.3615 data: 0.0015 [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.702 (6.704) Lt: 5.971 (5.988) Accm: 3.02 (2.95) Acct: 4.82 (4.73) proj_loss: -0.5871 (-0.5904) time: 0.3615 data: 0.0020 [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.730 (6.728) Lt: 6.006 (6.001) Accm: 2.90 (2.81) Acct: 4.55 (4.47) proj_loss: -0.5904 (-0.5899) time: 0.3615 data: 0.0021 [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.729 (6.727) Lt: 6.072 (6.032) Accm: 2.74 (2.77) Acct: 4.12 (4.27) proj_loss: -0.5940 (-0.5907) time: 0.3615 data: 0.0019 [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:42:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:05 (0.363 s / it) [11-23 18:42:07] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.768 (6.770), Lt: 6.068 (6.071), Acc m&t: 2.72 4.24, Remain: 1 day, 8:31:58, Finish: 2024-11-24 11:14 [11-23 18:42:07] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.768 (6.770), Lt: 6.068 (6.071), Acc m&t: 2.72 4.24, Remain: 1 day, 8:32:57, Finish: 2024-11-24 11:15 [11-23 18:42:07] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.768 (6.770), Lt: 6.068 (6.071), Acc m&t: 2.72 4.24, Remain: 1 day, 8:32:19, Finish: 2024-11-24 11:14 [11-23 18:42:07] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.768 (6.770), Lt: 6.068 (6.071), Acc m&t: 2.72 4.24, Remain: 1 day, 8:32:14, Finish: 2024-11-24 11:14 [11-23 18:42:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:55 tlr: 0.00014 tnm: 0.37 Lm: 6.673 (6.673) Lt: 5.959 (5.959) Accm: 2.94 (2.94) Acct: 4.30 (4.30) proj_loss: -0.5878 (-0.5878) time: 0.3570 data: 0.0004 [11-23 18:42:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:50 tlr: 0.00014 tnm: 0.37 Lm: 6.823 (6.823) Lt: 6.162 (6.162) Accm: 2.75 (2.75) Acct: 4.10 (4.10) proj_loss: -0.5829 (-0.5829) time: 0.3535 data: 0.0004 [11-23 18:42:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:55 tlr: 0.00014 tnm: 0.37 Lm: 6.847 (6.847) Lt: 6.178 (6.178) Accm: 2.52 (2.52) Acct: 3.68 (3.68) proj_loss: -0.5989 (-0.5989) time: 0.3565 data: 0.0004 [11-23 18:42:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:51 tlr: 0.00014 tnm: 0.37 Lm: 6.624 (6.624) Lt: 5.903 (5.903) Accm: 3.24 (3.24) Acct: 5.06 (5.06) proj_loss: -0.6121 (-0.6121) time: 0.3545 data: 0.0004 [11-23 18:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.38 Lm: 6.648 (6.648) Lt: 5.914 (5.914) Accm: 3.13 (3.13) Acct: 4.84 (4.84) proj_loss: -0.6026 (-0.6026) time: 0.3617 data: 0.0003 [11-23 18:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.38 Lm: 6.714 (6.714) Lt: 5.989 (5.989) Accm: 2.96 (2.96) Acct: 4.52 (4.52) proj_loss: -0.5828 (-0.5828) time: 0.3617 data: 0.0002 [11-23 18:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.38 Lm: 6.728 (6.728) Lt: 6.014 (6.014) Accm: 3.02 (3.02) Acct: 4.64 (4.64) proj_loss: -0.5913 (-0.5913) time: 0.3616 data: 0.0003 [11-23 18:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.38 Lm: 6.881 (6.881) Lt: 6.209 (6.209) Accm: 2.63 (2.63) Acct: 4.14 (4.14) proj_loss: -0.5991 (-0.5991) time: 0.3617 data: 0.0003 [11-23 18:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.39 Lm: 6.823 (6.831) Lt: 6.162 (6.138) Accm: 2.75 (2.72) Acct: 4.18 (4.30) proj_loss: -0.6023 (-0.6002) time: 0.3616 data: 0.0003 [11-23 18:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.39 Lm: 6.653 (6.650) Lt: 5.907 (5.912) Accm: 3.24 (3.18) Acct: 5.06 (4.91) proj_loss: -0.5932 (-0.5994) time: 0.3616 data: 0.0003 [11-23 18:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.39 Lm: 6.847 (6.772) Lt: 6.173 (6.067) Accm: 2.58 (2.87) Acct: 4.03 (4.44) proj_loss: -0.5856 (-0.5894) time: 0.3616 data: 0.0003 [11-23 18:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.39 Lm: 6.755 (6.729) Lt: 6.019 (6.004) Accm: 2.94 (2.83) Acct: 4.30 (4.36) proj_loss: -0.5878 (-0.5849) time: 0.3617 data: 0.0003 [11-23 18:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.757 (6.745) Lt: 6.027 (6.030) Accm: 2.86 (2.82) Acct: 4.46 (4.42) proj_loss: -0.5847 (-0.5841) time: 0.3611 data: 0.0003 [11-23 18:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.853 (6.794) Lt: 6.176 (6.095) Accm: 2.55 (2.74) Acct: 3.86 (4.21) proj_loss: -0.5922 (-0.5959) time: 0.3611 data: 0.0003 [11-23 18:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.663 (6.712) Lt: 5.916 (5.986) Accm: 3.13 (2.97) Acct: 4.84 (4.62) proj_loss: -0.5930 (-0.5955) time: 0.3611 data: 0.0003 [11-23 18:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.777 (6.787) Lt: 6.079 (6.093) Accm: 2.82 (2.81) Acct: 4.41 (4.45) proj_loss: -0.5941 (-0.5966) time: 0.3611 data: 0.0003 [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.787 (6.787) Lt: 6.104 (6.095) Accm: 2.75 (2.76) Acct: 4.18 (4.34) proj_loss: -0.5899 (-0.5953) time: 0.3655 data: 0.0018 [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:13 (0.367 s / it) [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.755 (6.743) Lt: 6.019 (6.027) Accm: 2.78 (2.80) Acct: 4.49 (4.44) proj_loss: -0.5817 (-0.5820) time: 0.3655 data: 0.0017 [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.847 (6.791) Lt: 6.173 (6.097) Accm: 2.58 (2.74) Acct: 4.03 (4.24) proj_loss: -0.5896 (-0.5946) time: 0.3655 data: 0.0016 [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.672 (6.740) Lt: 5.925 (6.023) Accm: 3.02 (2.87) Acct: 4.61 (4.44) proj_loss: -0.5932 (-0.5953) time: 0.3655 data: 0.0015 [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:13 (0.367 s / it) [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:13 (0.367 s / it) [11-23 18:52:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:13 (0.367 s / it) [11-23 18:52:20] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.768 (6.773), Lt: 6.068 (6.072), Acc m&t: 2.72 4.24, Remain: 1 day, 8:37:03, Finish: 2024-11-24 11:29 [11-23 18:52:20] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.768 (6.773), Lt: 6.068 (6.072), Acc m&t: 2.72 4.24, Remain: 1 day, 8:37:12, Finish: 2024-11-24 11:29 [11-23 18:52:20] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.768 (6.773), Lt: 6.068 (6.072), Acc m&t: 2.72 4.24, Remain: 1 day, 8:37:28, Finish: 2024-11-24 11:29 [11-23 18:52:20] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.768 (6.773), Lt: 6.068 (6.072), Acc m&t: 2.72 4.24, Remain: 1 day, 8:37:58, Finish: 2024-11-24 11:30 [11-23 18:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:34 tlr: 0.00014 tnm: 0.41 Lm: 6.728 (6.728) Lt: 5.995 (5.995) Accm: 2.80 (2.80) Acct: 4.32 (4.32) proj_loss: -0.5871 (-0.5871) time: 0.3444 data: 0.0004 [11-23 18:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.41 Lm: 6.645 (6.645) Lt: 5.935 (5.935) Accm: 2.81 (2.81) Acct: 4.34 (4.34) proj_loss: -0.5958 (-0.5958) time: 0.3447 data: 0.0003 [11-23 18:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:27 tlr: 0.00014 tnm: 0.41 Lm: 6.794 (6.794) Lt: 6.114 (6.114) Accm: 2.64 (2.64) Acct: 3.99 (3.99) proj_loss: -0.5766 (-0.5766) time: 0.3403 data: 0.0003 [11-23 18:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.41 Lm: 6.801 (6.801) Lt: 6.120 (6.120) Accm: 2.69 (2.69) Acct: 4.36 (4.36) proj_loss: -0.6103 (-0.6103) time: 0.3451 data: 0.0004 [11-23 18:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:04 tlr: 0.00014 tnm: 0.39 Lm: 6.834 (6.834) Lt: 6.149 (6.149) Accm: 2.58 (2.58) Acct: 4.05 (4.05) proj_loss: -0.5954 (-0.5954) time: 0.4117 data: 0.0003 [11-23 18:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:04 tlr: 0.00014 tnm: 0.39 Lm: 6.759 (6.759) Lt: 6.025 (6.025) Accm: 2.70 (2.70) Acct: 4.32 (4.32) proj_loss: -0.5842 (-0.5842) time: 0.4117 data: 0.0003 [11-23 18:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:04 tlr: 0.00014 tnm: 0.39 Lm: 6.852 (6.852) Lt: 6.167 (6.167) Accm: 2.46 (2.46) Acct: 3.87 (3.87) proj_loss: -0.5883 (-0.5883) time: 0.4117 data: 0.0003 [11-23 18:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:04 tlr: 0.00014 tnm: 0.39 Lm: 6.754 (6.754) Lt: 6.046 (6.046) Accm: 2.75 (2.75) Acct: 4.24 (4.24) proj_loss: -0.5900 (-0.5900) time: 0.4117 data: 0.0002 [11-23 18:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.40 Lm: 6.794 (6.775) Lt: 6.081 (6.058) Accm: 2.78 (2.76) Acct: 4.42 (4.30) proj_loss: -0.5776 (-0.5859) time: 0.4085 data: 0.0003 [11-23 18:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.40 Lm: 6.867 (6.849) Lt: 6.178 (6.164) Accm: 2.48 (2.49) Acct: 3.74 (3.86) proj_loss: -0.5806 (-0.5901) time: 0.4085 data: 0.0003 [11-23 18:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.40 Lm: 6.789 (6.779) Lt: 6.054 (6.056) Accm: 2.60 (2.60) Acct: 4.32 (4.06) proj_loss: -0.5871 (-0.5884) time: 0.4085 data: 0.0004 [11-23 18:57:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.40 Lm: 6.947 (6.883) Lt: 6.271 (6.202) Accm: 2.11 (2.34) Acct: 3.41 (3.68) proj_loss: -0.5808 (-0.5820) time: 0.4085 data: 0.0003 [11-23 19:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.40 Lm: 6.869 (6.860) Lt: 6.179 (6.173) Accm: 2.41 (2.43) Acct: 3.81 (3.81) proj_loss: -0.5870 (-0.5848) time: 0.3630 data: 0.0003 [11-23 19:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.40 Lm: 6.799 (6.782) Lt: 6.065 (6.055) Accm: 2.71 (2.73) Acct: 4.36 (4.30) proj_loss: -0.5838 (-0.5869) time: 0.3629 data: 0.0003 [11-23 19:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.40 Lm: 6.759 (6.758) Lt: 6.029 (6.043) Accm: 2.58 (2.59) Acct: 4.06 (4.00) proj_loss: -0.5920 (-0.5935) time: 0.3629 data: 0.0003 [11-23 19:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.40 Lm: 6.839 (6.839) Lt: 6.153 (6.155) Accm: 2.56 (2.53) Acct: 3.92 (3.92) proj_loss: -0.5824 (-0.5886) time: 0.3629 data: 0.0003 [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.811 (6.831) Lt: 6.127 (6.148) Accm: 2.48 (2.52) Acct: 3.74 (3.87) proj_loss: -0.5843 (-0.5927) time: 0.3648 data: 0.0016 [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.791 (6.823) Lt: 6.087 (6.126) Accm: 2.71 (2.58) Acct: 4.20 (4.05) proj_loss: -0.5808 (-0.5837) time: 0.3648 data: 0.0018 [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.728 (6.748) Lt: 6.009 (6.036) Accm: 2.60 (2.62) Acct: 4.32 (4.09) proj_loss: -0.5969 (-0.5944) time: 0.3648 data: 0.0014 [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.805 (6.795) Lt: 6.081 (6.066) Accm: 2.64 (2.70) Acct: 4.42 (4.33) proj_loss: -0.5776 (-0.5850) time: 0.3648 data: 0.0017 [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:02:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:02:47] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.768 (6.776), Lt: 6.068 (6.076), Acc m&t: 2.72 4.24, Remain: 1 day, 8:20:20, Finish: 2024-11-24 11:23 [11-23 19:02:47] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.768 (6.776), Lt: 6.068 (6.076), Acc m&t: 2.72 4.24, Remain: 1 day, 8:19:26, Finish: 2024-11-24 11:22 [11-23 19:02:47] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.768 (6.776), Lt: 6.068 (6.076), Acc m&t: 2.72 4.24, Remain: 1 day, 8:20:25, Finish: 2024-11-24 11:23 [11-23 19:02:47] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.768 (6.776), Lt: 6.068 (6.076), Acc m&t: 2.72 4.24, Remain: 1 day, 8:19:27, Finish: 2024-11-24 11:22 [11-23 19:02:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:44 tlr: 0.00014 tnm: 0.41 Lm: 6.793 (6.793) Lt: 6.089 (6.089) Accm: 2.45 (2.45) Acct: 3.79 (3.79) proj_loss: -0.5876 (-0.5876) time: 0.3503 data: 0.0003 [11-23 19:02:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:45 tlr: 0.00014 tnm: 0.41 Lm: 6.935 (6.935) Lt: 6.242 (6.242) Accm: 2.34 (2.34) Acct: 3.75 (3.75) proj_loss: -0.5785 (-0.5785) time: 0.3508 data: 0.0003 [11-23 19:02:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:44 tlr: 0.00014 tnm: 0.41 Lm: 6.677 (6.677) Lt: 5.958 (5.958) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: -0.5829 (-0.5829) time: 0.3501 data: 0.0004 [11-23 19:02:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:42 tlr: 0.00014 tnm: 0.41 Lm: 6.838 (6.838) Lt: 6.107 (6.107) Accm: 2.74 (2.74) Acct: 4.41 (4.41) proj_loss: -0.5806 (-0.5806) time: 0.3493 data: 0.0004 [11-23 19:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.757 (6.757) Lt: 6.066 (6.066) Accm: 2.98 (2.98) Acct: 4.71 (4.71) proj_loss: -0.5884 (-0.5884) time: 0.3641 data: 0.0002 [11-23 19:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.768 (6.768) Lt: 6.078 (6.078) Accm: 2.54 (2.54) Acct: 3.89 (3.89) proj_loss: -0.5926 (-0.5926) time: 0.3641 data: 0.0003 [11-23 19:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.679 (6.679) Lt: 5.935 (5.935) Accm: 2.96 (2.96) Acct: 4.74 (4.74) proj_loss: -0.5851 (-0.5851) time: 0.3641 data: 0.0003 [11-23 19:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.856 (6.856) Lt: 6.139 (6.139) Accm: 2.45 (2.45) Acct: 3.97 (3.97) proj_loss: -0.5783 (-0.5783) time: 0.3641 data: 0.0003 [11-23 19:07:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.776 (6.815) Lt: 6.070 (6.116) Accm: 2.56 (2.60) Acct: 4.06 (4.00) proj_loss: -0.5785 (-0.5786) time: 0.3637 data: 0.0003 [11-23 19:07:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.743 (6.734) Lt: 6.067 (6.055) Accm: 2.64 (2.70) Acct: 3.99 (4.06) proj_loss: -0.5975 (-0.5945) time: 0.3637 data: 0.0003 [11-23 19:07:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.677 (6.657) Lt: 5.912 (5.925) Accm: 3.05 (3.04) Acct: 4.67 (4.72) proj_loss: -0.5829 (-0.5817) time: 0.3637 data: 0.0003 [11-23 19:07:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.796 (6.770) Lt: 6.100 (6.078) Accm: 2.74 (2.88) Acct: 4.41 (4.51) proj_loss: -0.5923 (-0.5897) time: 0.3637 data: 0.0003 [11-23 19:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.779 (6.768) Lt: 6.078 (6.072) Accm: 2.74 (2.85) Acct: 4.44 (4.50) proj_loss: -0.5868 (-0.5876) time: 0.3628 data: 0.0003 [11-23 19:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.738 (6.734) Lt: 6.038 (6.040) Accm: 2.80 (2.76) Acct: 4.19 (4.23) proj_loss: -0.5979 (-0.5975) time: 0.3628 data: 0.0003 [11-23 19:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.679 (6.718) Lt: 5.935 (5.995) Accm: 2.96 (2.84) Acct: 4.61 (4.39) proj_loss: -0.5851 (-0.5835) time: 0.3628 data: 0.0003 [11-23 19:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.755 (6.755) Lt: 6.053 (6.055) Accm: 2.73 (2.72) Acct: 4.12 (4.19) proj_loss: -0.5788 (-0.5819) time: 0.3628 data: 0.0003 [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.734 (6.741) Lt: 6.036 (6.039) Accm: 2.86 (2.74) Acct: 4.18 (4.23) proj_loss: -0.5790 (-0.5863) time: 0.3649 data: 0.0020 [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:06 (0.363 s / it) [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.733 (6.715) Lt: 6.009 (6.017) Accm: 2.96 (2.85) Acct: 4.39 (4.35) proj_loss: -0.5975 (-0.5941) time: 0.3649 data: 0.0018 [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.681 (6.730) Lt: 5.958 (6.010) Accm: 2.88 (2.81) Acct: 4.55 (4.35) proj_loss: -0.5829 (-0.5822) time: 0.3649 data: 0.0019 [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.796 (6.799) Lt: 6.100 (6.105) Accm: 2.74 (2.72) Acct: 4.41 (4.28) proj_loss: -0.5883 (-0.5878) time: 0.3649 data: 0.0016 [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:06 (0.363 s / it) [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:06 (0.363 s / it) [11-23 19:12:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:06 (0.363 s / it) [11-23 19:15:03] (home/user/VAR/trainer.py, line 114)=> FID: 4.368845907513219 [11-23 19:15:04] (/home/user/VAR/train.py , line 259)=> [*] [ep159] (val 50000) Lm: 6.7674, Lt: 6.0702, Acc m&t: 2.71 4.23, Val cost: 130.05s [11-23 19:15:04] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 19:15:20] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.767 (6.767), Lt: 6.068 (6.070), Acc m&t: 2.72 4.24, Remain: 1 day, 8:13:19, Finish: 2024-11-24 11:26 [11-23 19:15:20] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.767 (6.767), Lt: 6.068 (6.070), Acc m&t: 2.72 4.24, Remain: 1 day, 8:12:41, Finish: 2024-11-24 11:25 [11-23 19:15:20] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.767 (6.767), Lt: 6.068 (6.070), Acc m&t: 2.72 4.24, Remain: 1 day, 8:11:51, Finish: 2024-11-24 11:24 [11-23 19:15:20] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.767 (6.767), Lt: 6.068 (6.070), Acc m&t: 2.72 4.24, Remain: 1 day, 8:12:46, Finish: 2024-11-24 11:25 [11-23 19:15:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:10:55 tlr: 0.00014 tnm: 0.40 Lm: 6.651 (6.651) Lt: 5.910 (5.910) Accm: 3.07 (3.07) Acct: 4.80 (4.80) proj_loss: -0.6192 (-0.6192) time: 0.3929 data: 0.0004 [11-23 19:15:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:10:57 tlr: 0.00014 tnm: 0.40 Lm: 6.751 (6.751) Lt: 6.017 (6.017) Accm: 2.48 (2.48) Acct: 3.84 (3.84) proj_loss: -0.6064 (-0.6064) time: 0.3939 data: 0.0004 [11-23 19:15:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:10:57 tlr: 0.00014 tnm: 0.40 Lm: 6.755 (6.755) Lt: 6.018 (6.018) Accm: 2.77 (2.77) Acct: 4.46 (4.46) proj_loss: -0.5908 (-0.5908) time: 0.3942 data: 0.0003 [11-23 19:15:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:09:50 tlr: 0.00014 tnm: 0.40 Lm: 6.769 (6.769) Lt: 6.066 (6.066) Accm: 2.69 (2.69) Acct: 4.30 (4.30) proj_loss: -0.5693 (-0.5693) time: 0.3537 data: 0.0005 [11-23 19:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.40 Lm: 6.665 (6.665) Lt: 5.946 (5.946) Accm: 2.87 (2.87) Acct: 4.60 (4.60) proj_loss: -0.5822 (-0.5822) time: 0.3645 data: 0.0003 [11-23 19:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.40 Lm: 6.742 (6.742) Lt: 6.011 (6.011) Accm: 2.88 (2.88) Acct: 4.47 (4.47) proj_loss: -0.5977 (-0.5977) time: 0.3645 data: 0.0003 [11-23 19:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.40 Lm: 6.820 (6.820) Lt: 6.122 (6.122) Accm: 2.47 (2.47) Acct: 3.76 (3.76) proj_loss: -0.5920 (-0.5920) time: 0.3645 data: 0.0002 [11-23 19:17:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.40 Lm: 6.811 (6.811) Lt: 6.088 (6.088) Accm: 2.68 (2.68) Acct: 4.30 (4.30) proj_loss: -0.5935 (-0.5935) time: 0.3645 data: 0.0003 [11-23 19:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.762 (6.795) Lt: 6.066 (6.081) Accm: 2.77 (2.77) Acct: 4.46 (4.36) proj_loss: -0.5939 (-0.5937) time: 0.3643 data: 0.0003 [11-23 19:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.651 (6.702) Lt: 5.910 (5.975) Accm: 3.07 (2.97) Acct: 4.80 (4.63) proj_loss: -0.6192 (-0.6069) time: 0.3643 data: 0.0003 [11-23 19:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.889 (6.852) Lt: 6.227 (6.159) Accm: 2.45 (2.36) Acct: 3.68 (3.65) proj_loss: -0.5869 (-0.5903) time: 0.3643 data: 0.0002 [11-23 19:20:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.769 (6.701) Lt: 6.035 (5.975) Accm: 2.69 (2.79) Acct: 4.30 (4.49) proj_loss: -0.5837 (-0.5827) time: 0.3643 data: 0.0003 [11-23 19:22:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.39 Lm: 6.771 (6.729) Lt: 6.051 (6.022) Accm: 2.68 (2.76) Acct: 4.30 (4.43) proj_loss: -0.5894 (-0.5889) time: 0.3624 data: 0.0003 [11-23 19:22:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.39 Lm: 6.725 (6.726) Lt: 5.962 (5.985) Accm: 2.88 (2.89) Acct: 4.55 (4.55) proj_loss: -0.6002 (-0.6005) time: 0.3624 data: 0.0002 [11-23 19:22:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.39 Lm: 6.901 (6.867) Lt: 6.229 (6.177) Accm: 2.47 (2.42) Acct: 3.76 (3.74) proj_loss: -0.5916 (-0.5918) time: 0.3624 data: 0.0003 [11-23 19:22:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.39 Lm: 6.814 (6.819) Lt: 6.112 (6.119) Accm: 2.68 (2.67) Acct: 4.30 (4.19) proj_loss: -0.5924 (-0.5917) time: 0.3624 data: 0.0003 [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.762 (6.778) Lt: 6.066 (6.089) Accm: 2.77 (2.69) Acct: 4.44 (4.24) proj_loss: -0.5939 (-0.5924) time: 0.3646 data: 0.0017 [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:14 (0.368 s / it) [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.799 (6.744) Lt: 6.014 (6.012) Accm: 2.71 (2.85) Acct: 4.42 (4.52) proj_loss: -0.5846 (-0.5973) time: 0.3646 data: 0.0018 [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.769 (6.730) Lt: 6.035 (6.017) Accm: 2.69 (2.78) Acct: 4.30 (4.44) proj_loss: -0.5951 (-0.5920) time: 0.3646 data: 0.0018 [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.889 (6.863) Lt: 6.227 (6.163) Accm: 2.48 (2.45) Acct: 3.84 (3.79) proj_loss: -0.5869 (-0.5908) time: 0.3646 data: 0.0016 [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:14 (0.368 s / it) [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:14 (0.368 s / it) [11-23 19:25:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:14 (0.368 s / it) [11-23 19:25:34] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.767 (6.768), Lt: 6.065 (6.065), Acc m&t: 2.72 4.25, Remain: 1 day, 8:14:59, Finish: 2024-11-24 11:40 [11-23 19:25:34] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.767 (6.768), Lt: 6.065 (6.065), Acc m&t: 2.72 4.25, Remain: 1 day, 8:13:12, Finish: 2024-11-24 11:38 [11-23 19:25:34] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.767 (6.768), Lt: 6.065 (6.065), Acc m&t: 2.72 4.25, Remain: 1 day, 8:13:35, Finish: 2024-11-24 11:39 [11-23 19:25:34] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.767 (6.768), Lt: 6.065 (6.065), Acc m&t: 2.72 4.25, Remain: 1 day, 8:13:59, Finish: 2024-11-24 11:39 [11-23 19:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:43:57 tlr: 0.00014 tnm: 0.40 Lm: 6.859 (6.859) Lt: 6.151 (6.151) Accm: 2.30 (2.30) Acct: 3.68 (3.68) proj_loss: -0.5671 (-0.5671) time: 1.5804 data: 0.0003 [11-23 19:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:43:55 tlr: 0.00014 tnm: 0.40 Lm: 6.710 (6.710) Lt: 5.998 (5.998) Accm: 2.94 (2.94) Acct: 4.80 (4.80) proj_loss: -0.5843 (-0.5843) time: 1.5792 data: 0.0004 [11-23 19:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:43:57 tlr: 0.00014 tnm: 0.40 Lm: 6.805 (6.805) Lt: 6.121 (6.121) Accm: 2.66 (2.66) Acct: 3.99 (3.99) proj_loss: -0.5883 (-0.5883) time: 1.5804 data: 0.0004 [11-23 19:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:43:57 tlr: 0.00014 tnm: 0.40 Lm: 6.738 (6.738) Lt: 5.974 (5.974) Accm: 2.87 (2.87) Acct: 4.75 (4.75) proj_loss: -0.5716 (-0.5716) time: 1.5803 data: 0.0004 [11-23 19:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.695 (6.695) Lt: 5.932 (5.932) Accm: 2.95 (2.95) Acct: 4.67 (4.67) proj_loss: -0.5761 (-0.5761) time: 0.3668 data: 0.0003 [11-23 19:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.825 (6.825) Lt: 6.125 (6.125) Accm: 2.59 (2.59) Acct: 4.08 (4.08) proj_loss: -0.5740 (-0.5740) time: 0.3668 data: 0.0002 [11-23 19:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.836 (6.836) Lt: 6.154 (6.154) Accm: 2.51 (2.51) Acct: 3.78 (3.78) proj_loss: -0.5868 (-0.5868) time: 0.3668 data: 0.0003 [11-23 19:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.751 (6.751) Lt: 6.052 (6.052) Accm: 2.80 (2.80) Acct: 4.56 (4.56) proj_loss: -0.5880 (-0.5880) time: 0.3668 data: 0.0003 [11-23 19:30:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.39 Lm: 6.714 (6.739) Lt: 5.998 (6.025) Accm: 2.91 (2.84) Acct: 4.60 (4.57) proj_loss: -0.5843 (-0.5846) time: 0.3631 data: 0.0003 [11-23 19:30:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.39 Lm: 6.790 (6.793) Lt: 6.100 (6.094) Accm: 2.61 (2.59) Acct: 4.08 (4.08) proj_loss: -0.5809 (-0.5811) time: 0.3631 data: 0.0002 [11-23 19:30:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.39 Lm: 6.805 (6.774) Lt: 6.121 (6.050) Accm: 2.66 (2.61) Acct: 3.99 (4.03) proj_loss: -0.5854 (-0.5699) time: 0.3630 data: 0.0003 [11-23 19:30:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.39 Lm: 6.711 (6.700) Lt: 5.974 (5.947) Accm: 2.87 (2.87) Acct: 4.60 (4.49) proj_loss: -0.5805 (-0.5776) time: 0.3631 data: 0.0003 [11-23 19:33:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.724 (6.733) Lt: 5.975 (5.974) Accm: 2.79 (2.83) Acct: 4.47 (4.46) proj_loss: -0.5761 (-0.5758) time: 0.3625 data: 0.0002 [11-23 19:33:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.742 (6.746) Lt: 6.052 (6.046) Accm: 2.88 (2.84) Acct: 4.49 (4.52) proj_loss: -0.5880 (-0.5867) time: 0.3625 data: 0.0003 [11-23 19:33:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.795 (6.795) Lt: 6.082 (6.087) Accm: 2.68 (2.63) Acct: 4.19 (4.14) proj_loss: -0.5745 (-0.5778) time: 0.3625 data: 0.0003 [11-23 19:33:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:38 tlr: 0.00014 tnm: 0.39 Lm: 6.761 (6.760) Lt: 6.053 (6.034) Accm: 2.71 (2.65) Acct: 4.07 (4.06) proj_loss: -0.5868 (-0.5750) time: 0.3625 data: 0.0003 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.805 (6.790) Lt: 6.121 (6.078) Accm: 2.66 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5883 (-0.5784) time: 0.3645 data: 0.0014 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.738 (6.750) Lt: 5.976 (5.999) Accm: 2.72 (2.73) Acct: 4.34 (4.29) proj_loss: -0.5784 (-0.5764) time: 0.3645 data: 0.0019 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.769 (6.755) Lt: 6.095 (6.056) Accm: 2.86 (2.78) Acct: 4.37 (4.39) proj_loss: -0.5843 (-0.5859) time: 0.3645 data: 0.0019 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.800 (6.799) Lt: 6.100 (6.091) Accm: 2.66 (2.64) Acct: 4.30 (4.18) proj_loss: -0.5809 (-0.5787) time: 0.3645 data: 0.0019 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:26 (0.376 s / it) [11-23 19:36:01] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.767 (6.779), Lt: 6.065 (6.084), Acc m&t: 2.72 4.25, Remain: 1 day, 8:04:05, Finish: 2024-11-24 11:40 [11-23 19:36:01] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.767 (6.779), Lt: 6.065 (6.084), Acc m&t: 2.72 4.25, Remain: 1 day, 8:03:49, Finish: 2024-11-24 11:39 [11-23 19:36:01] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.767 (6.779), Lt: 6.065 (6.084), Acc m&t: 2.72 4.25, Remain: 1 day, 8:03:51, Finish: 2024-11-24 11:39 [11-23 19:36:01] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.767 (6.779), Lt: 6.065 (6.084), Acc m&t: 2.72 4.25, Remain: 1 day, 8:03:21, Finish: 2024-11-24 11:39 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:45 tlr: 0.00014 tnm: 0.40 Lm: 6.913 (6.913) Lt: 6.247 (6.247) Accm: 2.46 (2.46) Acct: 3.81 (3.81) proj_loss: -0.5878 (-0.5878) time: 0.3509 data: 0.0004 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:45 tlr: 0.00014 tnm: 0.40 Lm: 6.708 (6.708) Lt: 6.071 (6.071) Accm: 2.88 (2.88) Acct: 4.32 (4.32) proj_loss: -0.6111 (-0.6111) time: 0.3506 data: 0.0004 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:47 tlr: 0.00014 tnm: 0.40 Lm: 6.967 (6.967) Lt: 6.295 (6.295) Accm: 2.08 (2.08) Acct: 3.08 (3.08) proj_loss: -0.5989 (-0.5989) time: 0.3518 data: 0.0004 [11-23 19:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:47 tlr: 0.00014 tnm: 0.40 Lm: 6.647 (6.647) Lt: 5.938 (5.938) Accm: 3.07 (3.07) Acct: 5.03 (5.03) proj_loss: -0.5798 (-0.5798) time: 0.3518 data: 0.0003 [11-23 19:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.680 (6.680) Lt: 5.989 (5.989) Accm: 2.90 (2.90) Acct: 4.54 (4.54) proj_loss: -0.5911 (-0.5911) time: 0.3652 data: 0.0003 [11-23 19:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.853 (6.853) Lt: 6.200 (6.200) Accm: 2.58 (2.58) Acct: 3.97 (3.97) proj_loss: -0.5943 (-0.5943) time: 0.3652 data: 0.0003 [11-23 19:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.870 (6.870) Lt: 6.217 (6.217) Accm: 2.38 (2.38) Acct: 3.56 (3.56) proj_loss: -0.5922 (-0.5922) time: 0.3652 data: 0.0003 [11-23 19:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.39 Lm: 6.664 (6.664) Lt: 5.992 (5.992) Accm: 2.82 (2.82) Acct: 4.36 (4.36) proj_loss: -0.6132 (-0.6132) time: 0.3652 data: 0.0003 [11-23 19:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.663 (6.664) Lt: 5.942 (5.975) Accm: 2.88 (2.88) Acct: 4.39 (4.46) proj_loss: -0.6111 (-0.6081) time: 0.3624 data: 0.0003 [11-23 19:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.792 (6.789) Lt: 6.153 (6.109) Accm: 2.69 (2.71) Acct: 4.13 (4.24) proj_loss: -0.5878 (-0.5891) time: 0.3624 data: 0.0003 [11-23 19:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.859 (6.866) Lt: 6.162 (6.199) Accm: 2.26 (2.34) Acct: 3.43 (3.52) proj_loss: -0.5856 (-0.5879) time: 0.3624 data: 0.0003 [11-23 19:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.700 (6.687) Lt: 5.955 (5.977) Accm: 2.73 (2.83) Acct: 4.25 (4.44) proj_loss: -0.5798 (-0.5855) time: 0.3624 data: 0.0003 [11-23 19:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.706 (6.714) Lt: 5.997 (5.998) Accm: 2.72 (2.74) Acct: 4.15 (4.31) proj_loss: -0.5817 (-0.5850) time: 0.3618 data: 0.0003 [11-23 19:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.817 (6.802) Lt: 6.152 (6.119) Accm: 2.58 (2.62) Acct: 3.97 (4.11) proj_loss: -0.5843 (-0.5870) time: 0.3618 data: 0.0003 [11-23 19:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.855 (6.863) Lt: 6.155 (6.186) Accm: 2.26 (2.32) Acct: 3.50 (3.53) proj_loss: -0.5866 (-0.5878) time: 0.3618 data: 0.0002 [11-23 19:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.686 (6.677) Lt: 5.989 (5.991) Accm: 2.88 (2.88) Acct: 4.44 (4.47) proj_loss: -0.6044 (-0.6006) time: 0.3618 data: 0.0003 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.708 (6.690) Lt: 6.037 (6.002) Accm: 2.88 (2.81) Acct: 4.39 (4.36) proj_loss: -0.5977 (-0.5985) time: 0.3634 data: 0.0018 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:05 (0.363 s / it) [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.792 (6.799) Lt: 6.151 (6.118) Accm: 2.69 (2.64) Acct: 4.13 (4.17) proj_loss: -0.5878 (-0.5873) time: 0.3634 data: 0.0021 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.853 (6.861) Lt: 6.161 (6.181) Accm: 2.27 (2.37) Acct: 3.56 (3.64) proj_loss: -0.5856 (-0.5866) time: 0.3634 data: 0.0016 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.700 (6.710) Lt: 5.991 (5.996) Accm: 2.73 (2.75) Acct: 4.05 (4.25) proj_loss: -0.5818 (-0.5844) time: 0.3634 data: 0.0019 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:05 (0.363 s / it) [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:05 (0.363 s / it) [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:05 (0.363 s / it) [11-23 19:46:07] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.763 (6.763), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:40:46, Finish: 2024-11-24 11:26 [11-23 19:46:07] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.763 (6.763), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:41:06, Finish: 2024-11-24 11:27 [11-23 19:46:07] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.763 (6.763), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:39:22, Finish: 2024-11-24 11:25 [11-23 19:46:07] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.763 (6.763), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:40:07, Finish: 2024-11-24 11:26 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:09:49 tlr: 0.00014 tnm: 0.40 Lm: 6.791 (6.791) Lt: 6.086 (6.086) Accm: 2.64 (2.64) Acct: 4.46 (4.46) proj_loss: -0.5606 (-0.5606) time: 0.3534 data: 0.0004 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:09:50 tlr: 0.00014 tnm: 0.40 Lm: 6.596 (6.596) Lt: 5.842 (5.842) Accm: 3.21 (3.21) Acct: 5.10 (5.10) proj_loss: -0.5744 (-0.5744) time: 0.3541 data: 0.0003 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:09:50 tlr: 0.00014 tnm: 0.40 Lm: 6.824 (6.824) Lt: 6.110 (6.110) Accm: 2.51 (2.51) Acct: 3.63 (3.63) proj_loss: -0.5730 (-0.5730) time: 0.3537 data: 0.0003 [11-23 19:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:09:51 tlr: 0.00014 tnm: 0.40 Lm: 6.670 (6.670) Lt: 5.955 (5.955) Accm: 2.88 (2.88) Acct: 4.63 (4.63) proj_loss: -0.6093 (-0.6093) time: 0.3541 data: 0.0004 [11-23 19:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.41 Lm: 6.772 (6.772) Lt: 6.071 (6.071) Accm: 2.63 (2.63) Acct: 4.28 (4.28) proj_loss: -0.6095 (-0.6095) time: 0.3611 data: 0.0003 [11-23 19:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.41 Lm: 6.828 (6.828) Lt: 6.130 (6.130) Accm: 2.62 (2.62) Acct: 4.24 (4.24) proj_loss: -0.5799 (-0.5799) time: 0.3612 data: 0.0003 [11-23 19:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.41 Lm: 6.847 (6.847) Lt: 6.136 (6.136) Accm: 2.63 (2.63) Acct: 4.12 (4.12) proj_loss: -0.5808 (-0.5808) time: 0.3611 data: 0.0003 [11-23 19:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.41 Lm: 6.671 (6.671) Lt: 5.952 (5.952) Accm: 2.81 (2.81) Acct: 4.32 (4.32) proj_loss: -0.5876 (-0.5876) time: 0.3612 data: 0.0002 [11-23 19:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.703 (6.682) Lt: 5.983 (5.962) Accm: 2.91 (2.84) Acct: 4.42 (4.36) proj_loss: -0.5882 (-0.5878) time: 0.3631 data: 0.0002 [11-23 19:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.745 (6.763) Lt: 6.004 (6.049) Accm: 2.78 (2.68) Acct: 4.63 (4.42) proj_loss: -0.6093 (-0.5989) time: 0.3631 data: 0.0003 [11-23 19:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.846 (6.847) Lt: 6.118 (6.130) Accm: 2.74 (2.67) Acct: 4.48 (4.24) proj_loss: -0.5887 (-0.5879) time: 0.3631 data: 0.0003 [11-23 19:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.40 Lm: 6.791 (6.772) Lt: 6.086 (6.067) Accm: 2.64 (2.71) Acct: 4.46 (4.41) proj_loss: -0.5886 (-0.5828) time: 0.3632 data: 0.0003 [11-23 19:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.43 Lm: 6.791 (6.777) Lt: 6.125 (6.091) Accm: 2.65 (2.70) Acct: 4.24 (4.28) proj_loss: -0.5876 (-0.5838) time: 0.4053 data: 0.0003 [11-23 19:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.43 Lm: 6.835 (6.804) Lt: 6.114 (6.102) Accm: 2.74 (2.70) Acct: 4.38 (4.25) proj_loss: -0.5870 (-0.5873) time: 0.4053 data: 0.0003 [11-23 19:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.43 Lm: 6.734 (6.753) Lt: 5.998 (6.035) Accm: 2.83 (2.74) Acct: 4.59 (4.45) proj_loss: -0.5935 (-0.5922) time: 0.4053 data: 0.0002 [11-23 19:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.43 Lm: 6.725 (6.722) Lt: 6.022 (6.006) Accm: 2.66 (2.72) Acct: 4.11 (4.21) proj_loss: -0.5813 (-0.5813) time: 0.4053 data: 0.0003 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.747 (6.745) Lt: 6.061 (6.026) Accm: 2.41 (2.66) Acct: 3.79 (4.12) proj_loss: -0.5882 (-0.5841) time: 0.4104 data: 0.0016 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:18 (0.371 s / it) [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.791 (6.788) Lt: 6.148 (6.103) Accm: 2.64 (2.67) Acct: 4.22 (4.27) proj_loss: -0.5867 (-0.5826) time: 0.4104 data: 0.0019 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.824 (6.743) Lt: 6.110 (6.031) Accm: 2.75 (2.83) Acct: 4.48 (4.47) proj_loss: -0.5854 (-0.5857) time: 0.4104 data: 0.0015 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.722 (6.743) Lt: 5.992 (6.022) Accm: 2.86 (2.77) Acct: 4.63 (4.49) proj_loss: -0.5875 (-0.5913) time: 0.4104 data: 0.0019 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:18 (0.371 s / it) [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:18 (0.371 s / it) [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:18 (0.371 s / it) [11-23 19:56:26] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.763 (6.778), Lt: 6.058 (6.083), Acc m&t: 2.72 4.25, Remain: 1 day, 7:18:55, Finish: 2024-11-24 11:15 [11-23 19:56:26] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.763 (6.778), Lt: 6.058 (6.083), Acc m&t: 2.72 4.25, Remain: 1 day, 7:19:40, Finish: 2024-11-24 11:16 [11-23 19:56:26] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.763 (6.778), Lt: 6.058 (6.083), Acc m&t: 2.72 4.25, Remain: 1 day, 7:18:45, Finish: 2024-11-24 11:15 [11-23 19:56:26] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.763 (6.778), Lt: 6.058 (6.083), Acc m&t: 2.72 4.25, Remain: 1 day, 7:21:45, Finish: 2024-11-24 11:18 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:36 tlr: 0.00014 tnm: 0.41 Lm: 6.957 (6.957) Lt: 6.288 (6.288) Accm: 2.35 (2.35) Acct: 3.43 (3.43) proj_loss: -0.5862 (-0.5862) time: 0.3454 data: 0.0004 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:37 tlr: 0.00014 tnm: 0.41 Lm: 6.763 (6.763) Lt: 6.034 (6.034) Accm: 2.45 (2.45) Acct: 3.87 (3.87) proj_loss: -0.5806 (-0.5806) time: 0.3461 data: 0.0004 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:38 tlr: 0.00014 tnm: 0.41 Lm: 6.712 (6.712) Lt: 6.066 (6.066) Accm: 2.88 (2.88) Acct: 4.29 (4.29) proj_loss: -0.5917 (-0.5917) time: 0.3464 data: 0.0003 [11-23 19:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:37 tlr: 0.00014 tnm: 0.41 Lm: 6.856 (6.856) Lt: 6.160 (6.160) Accm: 2.34 (2.34) Acct: 3.68 (3.68) proj_loss: -0.5784 (-0.5784) time: 0.3461 data: 0.0003 [11-23 19:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:08:00 tlr: 0.00014 tnm: 0.39 Lm: 6.823 (6.823) Lt: 6.125 (6.125) Accm: 2.36 (2.36) Acct: 3.72 (3.72) proj_loss: -0.5888 (-0.5888) time: 0.3624 data: 0.0003 [11-23 19:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:08:00 tlr: 0.00014 tnm: 0.39 Lm: 6.812 (6.812) Lt: 6.102 (6.102) Accm: 2.35 (2.35) Acct: 3.79 (3.79) proj_loss: -0.5825 (-0.5825) time: 0.3624 data: 0.0003 [11-23 19:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:08:00 tlr: 0.00014 tnm: 0.39 Lm: 6.869 (6.869) Lt: 6.183 (6.183) Accm: 2.57 (2.57) Acct: 3.90 (3.90) proj_loss: -0.5935 (-0.5935) time: 0.3624 data: 0.0003 [11-23 19:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:08:00 tlr: 0.00014 tnm: 0.39 Lm: 6.754 (6.754) Lt: 6.085 (6.085) Accm: 2.70 (2.70) Acct: 4.07 (4.07) proj_loss: -0.5875 (-0.5875) time: 0.3624 data: 0.0002 [11-23 20:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.796 (6.779) Lt: 6.105 (6.113) Accm: 2.68 (2.69) Acct: 4.22 (4.12) proj_loss: -0.5917 (-0.5950) time: 0.3621 data: 0.0002 [11-23 20:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.763 (6.795) Lt: 6.034 (6.077) Accm: 2.45 (2.49) Acct: 3.87 (3.99) proj_loss: -0.5806 (-0.5783) time: 0.3621 data: 0.0003 [11-23 20:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.780 (6.791) Lt: 6.078 (6.094) Accm: 2.80 (2.74) Acct: 4.37 (4.18) proj_loss: -0.6009 (-0.5962) time: 0.3621 data: 0.0003 [11-23 20:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.790 (6.781) Lt: 6.091 (6.110) Accm: 2.39 (2.51) Acct: 3.75 (3.82) proj_loss: -0.5992 (-0.5962) time: 0.3621 data: 0.0002 [11-23 20:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.38 Lm: 6.777 (6.777) Lt: 6.095 (6.107) Accm: 2.56 (2.57) Acct: 3.89 (3.96) proj_loss: -0.6031 (-0.5988) time: 0.3634 data: 0.0003 [11-23 20:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.38 Lm: 6.754 (6.709) Lt: 6.085 (6.026) Accm: 2.78 (2.84) Acct: 4.25 (4.37) proj_loss: -0.5921 (-0.5944) time: 0.3634 data: 0.0002 [11-23 20:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.38 Lm: 6.762 (6.771) Lt: 6.031 (6.045) Accm: 2.61 (2.62) Acct: 4.13 (4.18) proj_loss: -0.5825 (-0.5830) time: 0.3634 data: 0.0003 [11-23 20:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.38 Lm: 6.836 (6.816) Lt: 6.126 (6.114) Accm: 2.57 (2.63) Acct: 4.10 (4.09) proj_loss: -0.5935 (-0.5901) time: 0.3634 data: 0.0003 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.891 (6.843) Lt: 6.174 (6.153) Accm: 2.35 (2.54) Acct: 3.82 (3.95) proj_loss: -0.5862 (-0.5888) time: 0.3677 data: 0.0016 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.763 (6.764) Lt: 6.091 (6.092) Accm: 2.73 (2.67) Acct: 4.03 (4.11) proj_loss: -0.6013 (-0.5993) time: 0.3677 data: 0.0020 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.712 (6.706) Lt: 6.066 (6.016) Accm: 2.88 (2.87) Acct: 4.29 (4.51) proj_loss: -0.5924 (-0.5982) time: 0.3677 data: 0.0015 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.763 (6.789) Lt: 6.034 (6.071) Accm: 2.45 (2.57) Acct: 3.98 (4.14) proj_loss: -0.5806 (-0.5821) time: 0.3677 data: 0.0021 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:06:46] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.763 (6.779), Lt: 6.058 (6.081), Acc m&t: 2.72 4.25, Remain: 1 day, 7:38:34, Finish: 2024-11-24 11:45 [11-23 20:06:46] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.763 (6.779), Lt: 6.058 (6.081), Acc m&t: 2.72 4.25, Remain: 1 day, 7:38:43, Finish: 2024-11-24 11:45 [11-23 20:06:46] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.763 (6.779), Lt: 6.058 (6.081), Acc m&t: 2.72 4.25, Remain: 1 day, 7:38:25, Finish: 2024-11-24 11:45 [11-23 20:06:46] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.763 (6.779), Lt: 6.058 (6.081), Acc m&t: 2.72 4.25, Remain: 1 day, 7:39:45, Finish: 2024-11-24 11:46 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:36 tlr: 0.00014 tnm: 0.41 Lm: 6.758 (6.758) Lt: 6.052 (6.052) Accm: 2.72 (2.72) Acct: 4.30 (4.30) proj_loss: -0.6002 (-0.6002) time: 0.3453 data: 0.0004 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:38 tlr: 0.00014 tnm: 0.41 Lm: 6.779 (6.779) Lt: 6.044 (6.044) Accm: 2.99 (2.99) Acct: 4.65 (4.65) proj_loss: -0.5896 (-0.5896) time: 0.3469 data: 0.0003 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:39 tlr: 0.00014 tnm: 0.41 Lm: 6.709 (6.709) Lt: 5.949 (5.949) Accm: 2.95 (2.95) Acct: 4.77 (4.77) proj_loss: -0.6088 (-0.6088) time: 0.3470 data: 0.0004 [11-23 20:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:38 tlr: 0.00014 tnm: 0.41 Lm: 6.615 (6.615) Lt: 5.920 (5.920) Accm: 3.07 (3.07) Acct: 4.48 (4.48) proj_loss: -0.5981 (-0.5981) time: 0.3464 data: 0.0004 [11-23 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.41 Lm: 6.663 (6.663) Lt: 5.961 (5.961) Accm: 2.96 (2.96) Acct: 4.53 (4.53) proj_loss: -0.5980 (-0.5980) time: 0.3614 data: 0.0003 [11-23 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.41 Lm: 6.793 (6.793) Lt: 6.049 (6.049) Accm: 2.75 (2.75) Acct: 4.25 (4.25) proj_loss: -0.5868 (-0.5868) time: 0.3614 data: 0.0003 [11-23 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.41 Lm: 6.823 (6.823) Lt: 6.114 (6.114) Accm: 2.49 (2.49) Acct: 4.09 (4.09) proj_loss: -0.5906 (-0.5906) time: 0.3614 data: 0.0003 [11-23 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.41 Lm: 6.707 (6.707) Lt: 5.966 (5.966) Accm: 2.94 (2.94) Acct: 4.64 (4.64) proj_loss: -0.5901 (-0.5901) time: 0.3614 data: 0.0003 [11-23 20:11:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.709 (6.769) Lt: 5.983 (6.047) Accm: 2.92 (2.74) Acct: 4.51 (4.33) proj_loss: -0.5942 (-0.5915) time: 0.3635 data: 0.0003 [11-23 20:11:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.769 (6.805) Lt: 6.052 (6.092) Accm: 2.70 (2.56) Acct: 4.25 (4.14) proj_loss: -0.5810 (-0.5870) time: 0.3635 data: 0.0003 [11-23 20:11:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.779 (6.741) Lt: 6.044 (6.014) Accm: 2.98 (2.83) Acct: 4.60 (4.37) proj_loss: -0.5840 (-0.5846) time: 0.3634 data: 0.0002 [11-23 20:11:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.41 Lm: 6.711 (6.702) Lt: 6.002 (6.007) Accm: 2.86 (2.86) Acct: 4.48 (4.37) proj_loss: -0.5981 (-0.6000) time: 0.3635 data: 0.0004 [11-23 20:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.40 Lm: 6.745 (6.745) Lt: 6.050 (6.057) Accm: 2.75 (2.71) Acct: 4.27 (4.20) proj_loss: -0.6010 (-0.6025) time: 0.3629 data: 0.0003 [11-23 20:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.40 Lm: 6.793 (6.778) Lt: 6.049 (6.075) Accm: 2.75 (2.67) Acct: 4.23 (4.11) proj_loss: -0.5868 (-0.5870) time: 0.3629 data: 0.0002 [11-23 20:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.40 Lm: 6.781 (6.790) Lt: 6.094 (6.087) Accm: 2.63 (2.60) Acct: 4.12 (4.12) proj_loss: -0.5930 (-0.5915) time: 0.3629 data: 0.0002 [11-23 20:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.40 Lm: 6.805 (6.814) Lt: 6.085 (6.098) Accm: 2.59 (2.54) Acct: 4.15 (4.12) proj_loss: -0.5848 (-0.5874) time: 0.3629 data: 0.0002 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.833 (6.818) Lt: 6.117 (6.115) Accm: 2.53 (2.53) Acct: 4.05 (4.05) proj_loss: -0.5828 (-0.5865) time: 0.3645 data: 0.0020 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:05 (0.363 s / it) [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.806 (6.799) Lt: 6.055 (6.096) Accm: 2.52 (2.60) Acct: 3.86 (4.00) proj_loss: -0.5896 (-0.5882) time: 0.3645 data: 0.0019 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.709 (6.752) Lt: 5.983 (6.052) Accm: 2.92 (2.71) Acct: 4.51 (4.27) proj_loss: -0.5942 (-0.5952) time: 0.3645 data: 0.0015 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.762 (6.748) Lt: 6.041 (6.054) Accm: 2.68 (2.70) Acct: 4.32 (4.22) proj_loss: -0.5981 (-0.5971) time: 0.3645 data: 0.0014 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:05 (0.363 s / it) [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:05 (0.363 s / it) [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:05 (0.363 s / it) [11-23 20:16:52] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.758 (6.758), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:10:04, Finish: 2024-11-24 11:26 [11-23 20:16:52] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.758 (6.758), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:10:48, Finish: 2024-11-24 11:27 [11-23 20:16:52] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.758 (6.758), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:10:13, Finish: 2024-11-24 11:27 [11-23 20:16:52] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.758 (6.758), Lt: 6.058 (6.058), Acc m&t: 2.72 4.25, Remain: 1 day, 7:10:32, Finish: 2024-11-24 11:27 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:09:41 tlr: 0.00014 tnm: 0.40 Lm: 6.756 (6.756) Lt: 6.055 (6.055) Accm: 2.75 (2.75) Acct: 4.34 (4.34) proj_loss: -0.6001 (-0.6001) time: 0.3486 data: 0.0004 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:09:42 tlr: 0.00014 tnm: 0.40 Lm: 6.613 (6.613) Lt: 5.911 (5.911) Accm: 2.81 (2.81) Acct: 4.37 (4.37) proj_loss: -0.5941 (-0.5941) time: 0.3490 data: 0.0004 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:09:43 tlr: 0.00014 tnm: 0.40 Lm: 6.884 (6.884) Lt: 6.209 (6.209) Accm: 2.17 (2.17) Acct: 3.62 (3.62) proj_loss: -0.5992 (-0.5992) time: 0.3494 data: 0.0004 [11-23 20:16:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:09:44 tlr: 0.00014 tnm: 0.40 Lm: 6.778 (6.778) Lt: 6.061 (6.061) Accm: 2.58 (2.58) Acct: 4.08 (4.08) proj_loss: -0.5930 (-0.5930) time: 0.3500 data: 0.0005 [11-23 20:19:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.41 Lm: 6.804 (6.804) Lt: 6.120 (6.120) Accm: 2.58 (2.58) Acct: 3.99 (3.99) proj_loss: -0.5973 (-0.5973) time: 0.3660 data: 0.0002 [11-23 20:19:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:34 tlr: 0.00014 tnm: 0.41 Lm: 6.912 (6.912) Lt: 6.226 (6.226) Accm: 2.25 (2.25) Acct: 3.73 (3.73) proj_loss: -0.5904 (-0.5904) time: 0.3660 data: 0.0003 [11-23 20:19:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.41 Lm: 6.688 (6.688) Lt: 5.974 (5.974) Accm: 3.10 (3.10) Acct: 4.85 (4.85) proj_loss: -0.6015 (-0.6015) time: 0.3660 data: 0.0003 [11-23 20:19:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:35 tlr: 0.00014 tnm: 0.41 Lm: 6.653 (6.653) Lt: 5.946 (5.946) Accm: 2.87 (2.87) Acct: 4.48 (4.48) proj_loss: -0.6018 (-0.6018) time: 0.3660 data: 0.0003 [11-23 20:21:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.692 (6.696) Lt: 5.980 (5.992) Accm: 2.81 (2.79) Acct: 4.37 (4.35) proj_loss: -0.5941 (-0.5977) time: 0.3635 data: 0.0003 [11-23 20:21:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.884 (6.797) Lt: 6.209 (6.109) Accm: 2.32 (2.58) Acct: 3.84 (4.13) proj_loss: -0.5992 (-0.5940) time: 0.3635 data: 0.0003 [11-23 20:21:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.831 (6.818) Lt: 6.180 (6.142) Accm: 2.58 (2.57) Acct: 4.06 (4.01) proj_loss: -0.5930 (-0.5953) time: 0.3635 data: 0.0002 [11-23 20:21:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:03 tlr: 0.00014 tnm: 0.39 Lm: 6.684 (6.686) Lt: 5.985 (5.978) Accm: 3.17 (3.13) Acct: 4.94 (4.88) proj_loss: -0.6001 (-0.5949) time: 0.3635 data: 0.0003 [11-23 20:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.42 Lm: 6.720 (6.718) Lt: 6.020 (6.002) Accm: 2.98 (3.04) Acct: 4.69 (4.77) proj_loss: -0.5909 (-0.5889) time: 0.3631 data: 0.0003 [11-23 20:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.42 Lm: 6.734 (6.716) Lt: 6.032 (6.028) Accm: 2.75 (2.76) Acct: 4.29 (4.31) proj_loss: -0.5919 (-0.5938) time: 0.3631 data: 0.0003 [11-23 20:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.42 Lm: 6.838 (6.795) Lt: 6.152 (6.106) Accm: 2.36 (2.54) Acct: 3.86 (4.06) proj_loss: -0.5904 (-0.5896) time: 0.3631 data: 0.0003 [11-23 20:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.42 Lm: 6.838 (6.828) Lt: 6.177 (6.150) Accm: 2.56 (2.52) Acct: 3.98 (3.94) proj_loss: -0.5970 (-0.5968) time: 0.3631 data: 0.0002 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.846 (6.862) Lt: 6.180 (6.181) Accm: 2.55 (2.46) Acct: 3.89 (3.86) proj_loss: -0.5930 (-0.5933) time: 0.4039 data: 0.0016 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.842 (6.805) Lt: 6.195 (6.124) Accm: 2.40 (2.52) Acct: 3.84 (3.98) proj_loss: -0.5816 (-0.5854) time: 0.4039 data: 0.0020 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.756 (6.734) Lt: 6.055 (6.024) Accm: 2.80 (2.99) Acct: 4.44 (4.67) proj_loss: -0.6001 (-0.5913) time: 0.4039 data: 0.0014 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.776 (6.763) Lt: 6.085 (6.081) Accm: 2.68 (2.68) Acct: 4.20 (4.19) proj_loss: -0.5941 (-0.5947) time: 0.4039 data: 0.0016 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it) [11-23 20:27:12] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.756 (6.756), Lt: 6.058 (6.059), Acc m&t: 2.74 4.27, Remain: 1 day, 7:04:38, Finish: 2024-11-24 11:31 [11-23 20:27:12] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.756 (6.756), Lt: 6.058 (6.059), Acc m&t: 2.74 4.27, Remain: 1 day, 7:04:19, Finish: 2024-11-24 11:31 [11-23 20:27:12] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.756 (6.756), Lt: 6.058 (6.059), Acc m&t: 2.74 4.27, Remain: 1 day, 7:04:10, Finish: 2024-11-24 11:31 [11-23 20:27:12] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.756 (6.756), Lt: 6.058 (6.059), Acc m&t: 2.74 4.27, Remain: 1 day, 7:03:27, Finish: 2024-11-24 11:30 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.42 Lm: 6.839 (6.839) Lt: 6.109 (6.109) Accm: 2.63 (2.63) Acct: 4.17 (4.17) proj_loss: -0.5870 (-0.5870) time: 0.3450 data: 0.0004 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.42 Lm: 6.681 (6.681) Lt: 5.964 (5.964) Accm: 2.90 (2.90) Acct: 4.61 (4.61) proj_loss: -0.5999 (-0.5999) time: 0.3450 data: 0.0004 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:36 tlr: 0.00014 tnm: 0.42 Lm: 6.797 (6.797) Lt: 6.128 (6.128) Accm: 2.69 (2.69) Acct: 4.12 (4.12) proj_loss: -0.6029 (-0.6029) time: 0.3455 data: 0.0003 [11-23 20:27:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:37 tlr: 0.00014 tnm: 0.42 Lm: 6.725 (6.725) Lt: 5.982 (5.982) Accm: 2.99 (2.99) Acct: 4.65 (4.65) proj_loss: -0.5856 (-0.5856) time: 0.3459 data: 0.0003 [11-23 20:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:06 tlr: 0.00014 tnm: 0.40 Lm: 6.775 (6.775) Lt: 6.053 (6.053) Accm: 2.75 (2.75) Acct: 4.34 (4.34) proj_loss: -0.5773 (-0.5773) time: 0.4080 data: 0.0002 [11-23 20:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:06 tlr: 0.00014 tnm: 0.40 Lm: 6.798 (6.798) Lt: 6.108 (6.108) Accm: 2.57 (2.57) Acct: 4.01 (4.01) proj_loss: -0.5887 (-0.5887) time: 0.4080 data: 0.0002 [11-23 20:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:06 tlr: 0.00014 tnm: 0.40 Lm: 6.779 (6.779) Lt: 6.095 (6.095) Accm: 2.67 (2.67) Acct: 4.27 (4.27) proj_loss: -0.6003 (-0.6003) time: 0.4080 data: 0.0002 [11-23 20:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:06 tlr: 0.00014 tnm: 0.40 Lm: 6.901 (6.901) Lt: 6.193 (6.193) Accm: 2.51 (2.51) Acct: 3.87 (3.87) proj_loss: -0.5758 (-0.5758) time: 0.4080 data: 0.0004 [11-23 20:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.839 (6.860) Lt: 6.109 (6.140) Accm: 2.53 (2.52) Acct: 4.12 (3.95) proj_loss: -0.5766 (-0.5761) time: 0.4034 data: 0.0003 [11-23 20:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.836 (6.798) Lt: 6.134 (6.108) Accm: 2.43 (2.56) Acct: 3.93 (4.03) proj_loss: -0.5999 (-0.5962) time: 0.4034 data: 0.0003 [11-23 20:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.824 (6.820) Lt: 6.123 (6.094) Accm: 2.52 (2.62) Acct: 4.03 (4.20) proj_loss: -0.5697 (-0.5747) time: 0.4034 data: 0.0003 [11-23 20:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:16 tlr: 0.00014 tnm: 0.40 Lm: 6.797 (6.750) Lt: 6.088 (6.061) Accm: 2.69 (2.68) Acct: 4.12 (4.14) proj_loss: -0.6029 (-0.5968) time: 0.4034 data: 0.0002 [11-23 20:34:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.735 (6.731) Lt: 6.028 (6.038) Accm: 2.79 (2.74) Acct: 4.25 (4.29) proj_loss: -0.5890 (-0.5914) time: 0.3615 data: 0.0003 [11-23 20:34:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.813 (6.796) Lt: 6.111 (6.103) Accm: 2.49 (2.56) Acct: 4.03 (4.06) proj_loss: -0.5985 (-0.5964) time: 0.3615 data: 0.0003 [11-23 20:34:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.790 (6.804) Lt: 6.097 (6.088) Accm: 2.58 (2.63) Acct: 4.02 (4.15) proj_loss: -0.5764 (-0.5768) time: 0.3615 data: 0.0003 [11-23 20:34:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.809 (6.824) Lt: 6.072 (6.099) Accm: 2.58 (2.64) Acct: 4.14 (4.12) proj_loss: -0.5818 (-0.5838) time: 0.3615 data: 0.0003 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.44 Lm: 6.790 (6.817) Lt: 6.051 (6.089) Accm: 2.62 (2.64) Acct: 4.17 (4.16) proj_loss: -0.5766 (-0.5807) time: 0.3632 data: 0.0014 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:18 (0.370 s / it) [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.44 Lm: 6.790 (6.789) Lt: 6.089 (6.091) Accm: 2.54 (2.58) Acct: 4.13 (4.09) proj_loss: -0.5999 (-0.5990) time: 0.3632 data: 0.0018 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.44 Lm: 6.673 (6.711) Lt: 5.977 (6.026) Accm: 2.89 (2.80) Acct: 4.39 (4.35) proj_loss: -0.6017 (-0.5934) time: 0.3632 data: 0.0016 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.44 Lm: 6.756 (6.769) Lt: 6.072 (6.050) Accm: 2.64 (2.68) Acct: 4.03 (4.22) proj_loss: -0.5831 (-0.5810) time: 0.3632 data: 0.0018 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:18 (0.370 s / it) [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:18 (0.370 s / it) [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:18 (0.370 s / it) [11-23 20:37:30] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.756 (6.768), Lt: 6.058 (6.067), Acc m&t: 2.74 4.27, Remain: 1 day, 6:42:31, Finish: 2024-11-24 11:20 [11-23 20:37:30] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.756 (6.768), Lt: 6.058 (6.067), Acc m&t: 2.74 4.27, Remain: 1 day, 6:41:46, Finish: 2024-11-24 11:19 [11-23 20:37:30] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.756 (6.768), Lt: 6.058 (6.067), Acc m&t: 2.74 4.27, Remain: 1 day, 6:40:44, Finish: 2024-11-24 11:18 [11-23 20:37:30] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.756 (6.768), Lt: 6.058 (6.067), Acc m&t: 2.74 4.27, Remain: 1 day, 6:41:44, Finish: 2024-11-24 11:19 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:51 tlr: 0.00014 tnm: 0.42 Lm: 6.816 (6.816) Lt: 6.121 (6.121) Accm: 2.63 (2.63) Acct: 4.18 (4.18) proj_loss: -0.5722 (-0.5722) time: 0.3542 data: 0.0003 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:52 tlr: 0.00014 tnm: 0.42 Lm: 6.744 (6.744) Lt: 6.003 (6.003) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5912 (-0.5912) time: 0.3547 data: 0.0003 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:53 tlr: 0.00014 tnm: 0.42 Lm: 6.739 (6.739) Lt: 6.033 (6.033) Accm: 2.70 (2.70) Acct: 4.10 (4.10) proj_loss: -0.5819 (-0.5819) time: 0.3553 data: 0.0003 [11-23 20:37:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 0.42 Lm: 6.630 (6.630) Lt: 5.929 (5.929) Accm: 2.94 (2.94) Acct: 4.34 (4.34) proj_loss: -0.5982 (-0.5982) time: 0.3561 data: 0.0004 [11-23 20:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.668 (6.668) Lt: 5.989 (5.989) Accm: 2.83 (2.83) Acct: 4.24 (4.24) proj_loss: -0.5854 (-0.5854) time: 0.3618 data: 0.0003 [11-23 20:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.820 (6.820) Lt: 6.116 (6.116) Accm: 2.54 (2.54) Acct: 4.04 (4.04) proj_loss: -0.5793 (-0.5793) time: 0.3618 data: 0.0003 [11-23 20:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.703 (6.703) Lt: 6.014 (6.014) Accm: 2.69 (2.69) Acct: 4.12 (4.12) proj_loss: -0.5836 (-0.5836) time: 0.3618 data: 0.0003 [11-23 20:40:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.699 (6.699) Lt: 5.929 (5.929) Accm: 2.74 (2.74) Acct: 4.42 (4.42) proj_loss: -0.5743 (-0.5743) time: 0.3618 data: 0.0003 [11-23 20:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.38 Lm: 6.683 (6.694) Lt: 5.983 (5.947) Accm: 2.87 (2.88) Acct: 4.86 (4.65) proj_loss: -0.5912 (-0.5830) time: 0.3611 data: 0.0003 [11-23 20:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.38 Lm: 6.816 (6.771) Lt: 6.111 (6.084) Accm: 2.63 (2.68) Acct: 4.18 (4.20) proj_loss: -0.5865 (-0.5907) time: 0.3611 data: 0.0003 [11-23 20:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.38 Lm: 6.649 (6.662) Lt: 5.952 (5.976) Accm: 2.94 (2.87) Acct: 4.34 (4.37) proj_loss: -0.5740 (-0.5816) time: 0.3611 data: 0.0002 [11-23 20:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.38 Lm: 6.699 (6.702) Lt: 5.995 (6.002) Accm: 2.70 (2.83) Acct: 4.15 (4.41) proj_loss: -0.5825 (-0.5832) time: 0.3611 data: 0.0003 [11-23 20:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.687 (6.695) Lt: 5.987 (5.990) Accm: 2.79 (2.84) Acct: 4.26 (4.40) proj_loss: -0.5839 (-0.5872) time: 0.3621 data: 0.0003 [11-23 20:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.777 (6.763) Lt: 6.073 (6.072) Accm: 2.59 (2.65) Acct: 4.04 (4.11) proj_loss: -0.5889 (-0.5909) time: 0.3621 data: 0.0003 [11-23 20:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.678 (6.717) Lt: 6.000 (6.026) Accm: 2.83 (2.76) Acct: 4.24 (4.21) proj_loss: -0.5757 (-0.5806) time: 0.3621 data: 0.0003 [11-23 20:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.713 (6.723) Lt: 5.993 (5.994) Accm: 2.74 (2.72) Acct: 4.42 (4.35) proj_loss: -0.5876 (-0.5833) time: 0.3621 data: 0.0003 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.744 (6.734) Lt: 6.003 (6.002) Accm: 2.75 (2.72) Acct: 4.49 (4.38) proj_loss: -0.5841 (-0.5815) time: 0.3640 data: 0.0021 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:04 (0.362 s / it) [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.738 (6.757) Lt: 6.047 (6.067) Accm: 2.63 (2.73) Acct: 4.18 (4.19) proj_loss: -0.5914 (-0.5926) time: 0.3640 data: 0.0022 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.707 (6.747) Lt: 6.049 (6.070) Accm: 2.72 (2.71) Acct: 4.13 (4.11) proj_loss: -0.5774 (-0.5881) time: 0.3639 data: 0.0020 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.699 (6.714) Lt: 5.995 (6.009) Accm: 2.78 (2.83) Acct: 4.36 (4.39) proj_loss: -0.5825 (-0.5861) time: 0.3639 data: 0.0014 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:04 (0.362 s / it) [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:04 (0.362 s / it) [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:04 (0.362 s / it) [11-23 20:47:35] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.27, Remain: 1 day, 6:45:13, Finish: 2024-11-24 11:32 [11-23 20:47:35] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.27, Remain: 1 day, 6:47:49, Finish: 2024-11-24 11:35 [11-23 20:47:35] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.27, Remain: 1 day, 6:46:20, Finish: 2024-11-24 11:33 [11-23 20:47:35] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.27, Remain: 1 day, 6:47:27, Finish: 2024-11-24 11:35 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:09:26 tlr: 0.00013 tnm: 0.43 Lm: 6.886 (6.886) Lt: 6.228 (6.228) Accm: 2.39 (2.39) Acct: 3.84 (3.84) proj_loss: -0.5970 (-0.5970) time: 0.3396 data: 0.0004 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:10:21 tlr: 0.00013 tnm: 0.43 Lm: 6.833 (6.833) Lt: 6.151 (6.151) Accm: 2.58 (2.58) Acct: 3.96 (3.96) proj_loss: -0.6120 (-0.6120) time: 0.3725 data: 0.0004 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:10:22 tlr: 0.00013 tnm: 0.43 Lm: 6.835 (6.835) Lt: 6.126 (6.126) Accm: 2.42 (2.42) Acct: 3.91 (3.91) proj_loss: -0.5817 (-0.5817) time: 0.3727 data: 0.0003 [11-23 20:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:10:29 tlr: 0.00013 tnm: 0.43 Lm: 6.886 (6.886) Lt: 6.243 (6.243) Accm: 2.29 (2.29) Acct: 3.44 (3.44) proj_loss: -0.6070 (-0.6070) time: 0.3774 data: 0.0004 [11-23 20:50:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.40 Lm: 6.889 (6.889) Lt: 6.240 (6.240) Accm: 2.33 (2.33) Acct: 3.56 (3.56) proj_loss: -0.5928 (-0.5928) time: 0.3633 data: 0.0003 [11-23 20:50:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.40 Lm: 6.831 (6.831) Lt: 6.147 (6.147) Accm: 2.43 (2.43) Acct: 3.66 (3.66) proj_loss: -0.6109 (-0.6109) time: 0.3633 data: 0.0003 [11-23 20:50:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.40 Lm: 6.742 (6.742) Lt: 6.034 (6.034) Accm: 2.55 (2.55) Acct: 4.06 (4.06) proj_loss: -0.5898 (-0.5898) time: 0.3633 data: 0.0002 [11-23 20:50:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.40 Lm: 6.857 (6.857) Lt: 6.173 (6.173) Accm: 2.56 (2.56) Acct: 3.90 (3.90) proj_loss: -0.5967 (-0.5967) time: 0.3633 data: 0.0002 [11-23 20:52:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.41 Lm: 6.828 (6.823) Lt: 6.117 (6.139) Accm: 2.73 (2.65) Acct: 3.96 (4.09) proj_loss: -0.5970 (-0.6053) time: 0.3609 data: 0.0003 [11-23 20:52:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.41 Lm: 6.829 (6.814) Lt: 6.143 (6.116) Accm: 2.55 (2.47) Acct: 3.96 (3.76) proj_loss: -0.6098 (-0.6067) time: 0.3609 data: 0.0003 [11-23 20:52:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.41 Lm: 6.649 (6.699) Lt: 5.942 (5.998) Accm: 2.67 (2.66) Acct: 4.22 (4.14) proj_loss: -0.5926 (-0.5907) time: 0.3609 data: 0.0002 [11-23 20:52:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.41 Lm: 6.886 (6.820) Lt: 6.237 (6.144) Accm: 2.38 (2.57) Acct: 3.68 (3.95) proj_loss: -0.5889 (-0.5915) time: 0.3609 data: 0.0002 [11-23 20:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.39 Lm: 6.807 (6.797) Lt: 6.135 (6.116) Accm: 2.58 (2.62) Acct: 4.03 (4.06) proj_loss: -0.5941 (-0.5934) time: 0.3639 data: 0.0003 [11-23 20:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.39 Lm: 6.831 (6.844) Lt: 6.147 (6.142) Accm: 2.41 (2.40) Acct: 3.84 (3.75) proj_loss: -0.6040 (-0.5984) time: 0.3639 data: 0.0003 [11-23 20:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.39 Lm: 6.689 (6.706) Lt: 5.990 (6.008) Accm: 2.75 (2.70) Acct: 4.26 (4.18) proj_loss: -0.5947 (-0.5923) time: 0.3639 data: 0.0003 [11-23 20:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.39 Lm: 6.831 (6.825) Lt: 6.138 (6.144) Accm: 2.56 (2.53) Acct: 3.90 (3.93) proj_loss: -0.6026 (-0.6060) time: 0.3639 data: 0.0003 [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.828 (6.812) Lt: 6.117 (6.117) Accm: 2.60 (2.54) Acct: 3.96 (3.96) proj_loss: -0.5970 (-0.6034) time: 0.3686 data: 0.0015 [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:20 (0.372 s / it) [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.829 (6.785) Lt: 6.143 (6.074) Accm: 2.55 (2.58) Acct: 3.96 (4.07) proj_loss: -0.6098 (-0.6018) time: 0.3686 data: 0.0019 [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.649 (6.688) Lt: 5.942 (5.979) Accm: 2.83 (2.78) Acct: 4.30 (4.30) proj_loss: -0.5926 (-0.5890) time: 0.3686 data: 0.0019 [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.816 (6.801) Lt: 6.114 (6.116) Accm: 2.69 (2.63) Acct: 4.06 (4.06) proj_loss: -0.5948 (-0.5937) time: 0.3686 data: 0.0020 [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:21 (0.372 s / it) [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:21 (0.372 s / it) [11-23 20:57:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:21 (0.372 s / it) [11-23 21:00:06] (home/user/VAR/trainer.py, line 114)=> FID: 4.5491420790887105 [11-23 21:00:07] (/home/user/VAR/train.py , line 259)=> [*] [ep169] (val 50000) Lm: 6.7552, Lt: 6.0544, Acc m&t: 2.74 4.30, Val cost: 130.79s [11-23 21:00:07] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 21:00:15] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.30, Remain: 1 day, 6:43:36, Finish: 2024-11-24 11:41 [11-23 21:00:15] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.30, Remain: 1 day, 6:44:22, Finish: 2024-11-24 11:42 [11-23 21:00:15] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.30, Remain: 1 day, 6:43:38, Finish: 2024-11-24 11:41 [11-23 21:00:15] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.755 (6.755), Lt: 6.054 (6.054), Acc m&t: 2.74 4.30, Remain: 1 day, 6:43:12, Finish: 2024-11-24 11:41 [11-23 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:09:53 tlr: 0.00013 tnm: 0.41 Lm: 6.827 (6.827) Lt: 6.081 (6.081) Accm: 2.76 (2.76) Acct: 4.53 (4.53) proj_loss: -0.5645 (-0.5645) time: 0.3555 data: 0.0003 [11-23 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:09:53 tlr: 0.00013 tnm: 0.41 Lm: 6.867 (6.867) Lt: 6.153 (6.153) Accm: 2.34 (2.34) Acct: 4.03 (4.03) proj_loss: -0.5928 (-0.5928) time: 0.3557 data: 0.0004 [11-23 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:09:55 tlr: 0.00013 tnm: 0.41 Lm: 6.706 (6.706) Lt: 5.971 (5.971) Accm: 2.89 (2.89) Acct: 4.37 (4.37) proj_loss: -0.5676 (-0.5676) time: 0.3571 data: 0.0004 [11-23 21:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:10:05 tlr: 0.00013 tnm: 0.41 Lm: 6.729 (6.729) Lt: 5.946 (5.946) Accm: 2.64 (2.64) Acct: 4.46 (4.46) proj_loss: -0.5970 (-0.5970) time: 0.3625 data: 0.0005 [11-23 21:02:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:08:06 tlr: 0.00013 tnm: 0.41 Lm: 6.724 (6.724) Lt: 5.988 (5.988) Accm: 2.75 (2.75) Acct: 4.36 (4.36) proj_loss: -0.5922 (-0.5922) time: 0.3627 data: 0.0003 [11-23 21:02:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:08:06 tlr: 0.00013 tnm: 0.41 Lm: 6.779 (6.779) Lt: 6.073 (6.073) Accm: 2.68 (2.68) Acct: 4.13 (4.13) proj_loss: -0.5730 (-0.5730) time: 0.3626 data: 0.0003 [11-23 21:02:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:08:06 tlr: 0.00013 tnm: 0.41 Lm: 6.685 (6.685) Lt: 5.933 (5.933) Accm: 2.90 (2.90) Acct: 4.58 (4.58) proj_loss: -0.5747 (-0.5747) time: 0.3626 data: 0.0002 [11-23 21:02:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:08:06 tlr: 0.00013 tnm: 0.41 Lm: 6.765 (6.765) Lt: 6.065 (6.065) Accm: 2.69 (2.69) Acct: 4.55 (4.55) proj_loss: -0.5889 (-0.5889) time: 0.3626 data: 0.0003 [11-23 21:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.38 Lm: 6.712 (6.747) Lt: 5.978 (6.031) Accm: 2.94 (2.78) Acct: 4.73 (4.61) proj_loss: -0.5850 (-0.5866) time: 0.3652 data: 0.0003 [11-23 21:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.38 Lm: 6.731 (6.728) Lt: 6.065 (6.032) Accm: 2.76 (2.87) Acct: 4.53 (4.42) proj_loss: -0.5816 (-0.5842) time: 0.3652 data: 0.0003 [11-23 21:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.38 Lm: 6.706 (6.730) Lt: 5.971 (6.003) Accm: 2.89 (2.77) Acct: 4.37 (4.31) proj_loss: -0.5817 (-0.5826) time: 0.3652 data: 0.0003 [11-23 21:05:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.38 Lm: 6.729 (6.763) Lt: 6.030 (6.034) Accm: 2.64 (2.68) Acct: 4.27 (4.20) proj_loss: -0.5875 (-0.5877) time: 0.3652 data: 0.0003 [11-23 21:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.41 Lm: 6.724 (6.718) Lt: 5.988 (5.993) Accm: 2.75 (2.76) Acct: 4.36 (4.33) proj_loss: -0.5889 (-0.5883) time: 0.3669 data: 0.0003 [11-23 21:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.41 Lm: 6.724 (6.725) Lt: 6.044 (6.030) Accm: 2.85 (2.88) Acct: 4.49 (4.42) proj_loss: -0.5894 (-0.5875) time: 0.3670 data: 0.0003 [11-23 21:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.41 Lm: 6.692 (6.717) Lt: 5.946 (5.982) Accm: 2.78 (2.74) Acct: 4.37 (4.33) proj_loss: -0.5901 (-0.5924) time: 0.3669 data: 0.0003 [11-23 21:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.41 Lm: 6.789 (6.780) Lt: 6.065 (6.071) Accm: 2.67 (2.68) Acct: 4.38 (4.39) proj_loss: -0.5835 (-0.5836) time: 0.3670 data: 0.0003 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.712 (6.757) Lt: 6.006 (6.058) Accm: 2.94 (2.74) Acct: 4.12 (4.34) proj_loss: -0.5850 (-0.5860) time: 0.3651 data: 0.0018 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.731 (6.729) Lt: 6.064 (6.037) Accm: 2.76 (2.80) Acct: 4.44 (4.30) proj_loss: -0.5971 (-0.5910) time: 0.3651 data: 0.0016 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.719 (6.686) Lt: 5.946 (5.960) Accm: 2.86 (2.86) Acct: 4.46 (4.53) proj_loss: -0.5903 (-0.5921) time: 0.3651 data: 0.0015 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:19 (0.371 s / it) [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.678 (6.709) Lt: 5.921 (5.968) Accm: 2.88 (2.77) Acct: 4.37 (4.38) proj_loss: -0.5979 (-0.5935) time: 0.3651 data: 0.0017 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:19 (0.371 s / it) [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:19 (0.371 s / it) [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:19 (0.371 s / it) [11-23 21:10:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.755 (6.762), Lt: 6.054 (6.060), Acc m&t: 2.74 4.30, Remain: 1 day, 6:32:34, Finish: 2024-11-24 11:43 [11-23 21:10:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.755 (6.762), Lt: 6.054 (6.060), Acc m&t: 2.74 4.30, Remain: 1 day, 6:31:41, Finish: 2024-11-24 11:42 [11-23 21:10:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.755 (6.762), Lt: 6.054 (6.060), Acc m&t: 2.74 4.30, Remain: 1 day, 6:32:38, Finish: 2024-11-24 11:43 [11-23 21:10:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.755 (6.762), Lt: 6.054 (6.060), Acc m&t: 2.74 4.30, Remain: 1 day, 6:32:21, Finish: 2024-11-24 11:42 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:11:02 tlr: 0.00013 tnm: 0.44 Lm: 6.726 (6.726) Lt: 5.985 (5.985) Accm: 3.11 (3.11) Acct: 5.13 (5.13) proj_loss: -0.6069 (-0.6069) time: 0.3971 data: 0.0003 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:11:02 tlr: 0.00013 tnm: 0.44 Lm: 6.786 (6.786) Lt: 6.126 (6.126) Accm: 2.59 (2.59) Acct: 4.39 (4.39) proj_loss: -0.6157 (-0.6157) time: 0.3972 data: 0.0004 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:11:02 tlr: 0.00013 tnm: 0.44 Lm: 6.747 (6.747) Lt: 6.035 (6.035) Accm: 2.82 (2.82) Acct: 4.34 (4.34) proj_loss: -0.5791 (-0.5791) time: 0.3969 data: 0.0004 [11-23 21:10:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:10:58 tlr: 0.00013 tnm: 0.44 Lm: 6.929 (6.929) Lt: 6.284 (6.284) Accm: 2.13 (2.13) Acct: 3.24 (3.24) proj_loss: -0.6015 (-0.6015) time: 0.3946 data: 0.0004 [11-23 21:13:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.42 Lm: 6.856 (6.856) Lt: 6.217 (6.217) Accm: 2.28 (2.28) Acct: 3.66 (3.66) proj_loss: -0.5831 (-0.5831) time: 0.3649 data: 0.0003 [11-23 21:13:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.42 Lm: 6.813 (6.813) Lt: 6.093 (6.093) Accm: 2.81 (2.81) Acct: 4.46 (4.46) proj_loss: -0.6047 (-0.6047) time: 0.3649 data: 0.0003 [11-23 21:13:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.42 Lm: 6.779 (6.779) Lt: 6.094 (6.094) Accm: 2.57 (2.57) Acct: 4.29 (4.29) proj_loss: -0.6008 (-0.6008) time: 0.3649 data: 0.0003 [11-23 21:13:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.42 Lm: 6.755 (6.755) Lt: 6.051 (6.051) Accm: 2.79 (2.79) Acct: 4.24 (4.24) proj_loss: -0.5792 (-0.5792) time: 0.3649 data: 0.0003 [11-23 21:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.42 Lm: 6.747 (6.722) Lt: 6.035 (6.023) Accm: 2.82 (2.87) Acct: 4.34 (4.41) proj_loss: -0.5793 (-0.5921) time: 0.3641 data: 0.0003 [11-23 21:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.42 Lm: 6.772 (6.750) Lt: 6.063 (6.062) Accm: 2.59 (2.65) Acct: 4.22 (4.26) proj_loss: -0.5859 (-0.5930) time: 0.3641 data: 0.0003 [11-23 21:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.42 Lm: 6.783 (6.822) Lt: 6.151 (6.163) Accm: 2.43 (2.39) Acct: 4.08 (3.82) proj_loss: -0.6015 (-0.5904) time: 0.3641 data: 0.0003 [11-23 21:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.42 Lm: 6.814 (6.813) Lt: 6.119 (6.101) Accm: 2.51 (2.70) Acct: 3.81 (4.24) proj_loss: -0.6069 (-0.6101) time: 0.3641 data: 0.0003 [11-23 21:18:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.802 (6.807) Lt: 6.108 (6.100) Accm: 2.54 (2.67) Acct: 3.98 (4.22) proj_loss: -0.6056 (-0.6087) time: 0.3659 data: 0.0003 [11-23 21:18:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.754 (6.746) Lt: 6.048 (6.055) Accm: 2.70 (2.70) Acct: 4.24 (4.26) proj_loss: -0.5867 (-0.5916) time: 0.3659 data: 0.0003 [11-23 21:18:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.753 (6.731) Lt: 6.051 (6.052) Accm: 2.79 (2.79) Acct: 4.24 (4.25) proj_loss: -0.5923 (-0.5954) time: 0.3659 data: 0.0003 [11-23 21:18:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.782 (6.811) Lt: 6.136 (6.152) Accm: 2.47 (2.41) Acct: 3.99 (3.84) proj_loss: -0.5931 (-0.5890) time: 0.3659 data: 0.0003 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.780 (6.759) Lt: 6.121 (6.084) Accm: 2.50 (2.53) Acct: 4.08 (4.03) proj_loss: -0.6015 (-0.5935) time: 0.3640 data: 0.0015 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.759 (6.766) Lt: 6.068 (6.078) Accm: 2.76 (2.68) Acct: 4.13 (4.17) proj_loss: -0.5812 (-0.5926) time: 0.3640 data: 0.0019 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.796 (6.805) Lt: 6.097 (6.087) Accm: 2.57 (2.68) Acct: 4.15 (4.27) proj_loss: -0.6044 (-0.6033) time: 0.3641 data: 0.0021 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.737 (6.742) Lt: 6.063 (6.063) Accm: 2.82 (2.76) Acct: 4.25 (4.31) proj_loss: -0.5874 (-0.5910) time: 0.3640 data: 0.0018 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:20:40] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.755 (6.781), Lt: 6.054 (6.089), Acc m&t: 2.74 4.30, Remain: 1 day, 6:12:08, Finish: 2024-11-24 11:32 [11-23 21:20:40] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.755 (6.781), Lt: 6.054 (6.089), Acc m&t: 2.74 4.30, Remain: 1 day, 6:11:59, Finish: 2024-11-24 11:32 [11-23 21:20:40] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.755 (6.781), Lt: 6.054 (6.089), Acc m&t: 2.74 4.30, Remain: 1 day, 6:13:43, Finish: 2024-11-24 11:34 [11-23 21:20:40] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.755 (6.781), Lt: 6.054 (6.089), Acc m&t: 2.74 4.30, Remain: 1 day, 6:14:22, Finish: 2024-11-24 11:35 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:57 tlr: 0.00013 tnm: 0.41 Lm: 6.840 (6.840) Lt: 6.159 (6.159) Accm: 2.48 (2.48) Acct: 3.82 (3.82) proj_loss: -0.6026 (-0.6026) time: 0.3582 data: 0.0004 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:58 tlr: 0.00013 tnm: 0.41 Lm: 6.695 (6.695) Lt: 5.999 (5.999) Accm: 2.78 (2.78) Acct: 4.41 (4.41) proj_loss: -0.5704 (-0.5704) time: 0.3586 data: 0.0004 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:58 tlr: 0.00013 tnm: 0.41 Lm: 6.817 (6.817) Lt: 6.174 (6.174) Accm: 2.40 (2.40) Acct: 3.77 (3.77) proj_loss: -0.6072 (-0.6072) time: 0.3589 data: 0.0003 [11-23 21:20:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:58 tlr: 0.00013 tnm: 0.41 Lm: 6.773 (6.773) Lt: 6.087 (6.087) Accm: 2.40 (2.40) Acct: 3.74 (3.74) proj_loss: -0.5857 (-0.5857) time: 0.3587 data: 0.0004 [11-23 21:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.40 Lm: 6.761 (6.761) Lt: 6.087 (6.087) Accm: 2.51 (2.51) Acct: 3.90 (3.90) proj_loss: -0.5891 (-0.5891) time: 0.3636 data: 0.0003 [11-23 21:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.40 Lm: 6.751 (6.751) Lt: 6.062 (6.062) Accm: 2.83 (2.83) Acct: 4.36 (4.36) proj_loss: -0.5911 (-0.5911) time: 0.3636 data: 0.0003 [11-23 21:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.40 Lm: 6.820 (6.820) Lt: 6.117 (6.117) Accm: 2.63 (2.63) Acct: 4.14 (4.14) proj_loss: -0.5933 (-0.5933) time: 0.3636 data: 0.0003 [11-23 21:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.40 Lm: 6.747 (6.747) Lt: 6.060 (6.060) Accm: 2.67 (2.67) Acct: 4.19 (4.19) proj_loss: -0.6063 (-0.6063) time: 0.3636 data: 0.0003 [11-23 21:25:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:04 tlr: 0.00013 tnm: 0.42 Lm: 6.680 (6.725) Lt: 5.946 (6.017) Accm: 2.81 (2.71) Acct: 4.61 (4.33) proj_loss: -0.6055 (-0.6030) time: 0.3615 data: 0.0003 [11-23 21:25:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:04 tlr: 0.00013 tnm: 0.42 Lm: 6.806 (6.800) Lt: 6.125 (6.114) Accm: 2.78 (2.70) Acct: 4.32 (4.22) proj_loss: -0.5771 (-0.5864) time: 0.3615 data: 0.0003 [11-23 21:25:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:04 tlr: 0.00013 tnm: 0.42 Lm: 6.749 (6.695) Lt: 6.086 (6.001) Accm: 2.61 (2.75) Acct: 4.06 (4.31) proj_loss: -0.5925 (-0.5960) time: 0.3615 data: 0.0003 [11-23 21:25:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:04 tlr: 0.00013 tnm: 0.42 Lm: 6.799 (6.765) Lt: 6.076 (6.065) Accm: 2.79 (2.84) Acct: 4.46 (4.47) proj_loss: -0.5840 (-0.5867) time: 0.3615 data: 0.0003 [11-23 21:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.39 Lm: 6.820 (6.797) Lt: 6.117 (6.096) Accm: 2.64 (2.75) Acct: 4.14 (4.30) proj_loss: -0.5794 (-0.5837) time: 0.3605 data: 0.0003 [11-23 21:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.39 Lm: 6.751 (6.732) Lt: 6.062 (6.043) Accm: 2.83 (2.81) Acct: 4.36 (4.42) proj_loss: -0.5931 (-0.5921) time: 0.3605 data: 0.0003 [11-23 21:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.39 Lm: 6.761 (6.741) Lt: 6.087 (6.057) Accm: 2.53 (2.68) Acct: 4.05 (4.24) proj_loss: -0.6011 (-0.6007) time: 0.3605 data: 0.0003 [11-23 21:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.39 Lm: 6.685 (6.716) Lt: 5.970 (6.011) Accm: 2.78 (2.72) Acct: 4.55 (4.37) proj_loss: -0.6009 (-0.5994) time: 0.3605 data: 0.0003 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.689 (6.736) Lt: 5.994 (6.034) Accm: 2.74 (2.70) Acct: 4.48 (4.34) proj_loss: -0.5962 (-0.5983) time: 0.3662 data: 0.0015 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:21 (0.372 s / it) [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.695 (6.699) Lt: 5.999 (5.996) Accm: 2.88 (2.87) Acct: 4.41 (4.48) proj_loss: -0.6091 (-0.5955) time: 0.3662 data: 0.0021 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.749 (6.736) Lt: 6.086 (6.036) Accm: 2.61 (2.69) Acct: 4.06 (4.24) proj_loss: -0.5925 (-0.5972) time: 0.3662 data: 0.0019 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.840 (6.811) Lt: 6.159 (6.113) Accm: 2.49 (2.67) Acct: 3.82 (4.10) proj_loss: -0.5840 (-0.5840) time: 0.3662 data: 0.0016 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:21 (0.372 s / it) [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:21 (0.372 s / it) [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:21 (0.372 s / it) [11-23 21:31:02] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.752 (6.752), Lt: 6.046 (6.046), Acc m&t: 2.74 4.30, Remain: 1 day, 6:08:19, Finish: 2024-11-24 11:39 [11-23 21:31:02] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.752 (6.752), Lt: 6.046 (6.046), Acc m&t: 2.74 4.30, Remain: 1 day, 6:07:50, Finish: 2024-11-24 11:38 [11-23 21:31:02] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.752 (6.752), Lt: 6.046 (6.046), Acc m&t: 2.74 4.30, Remain: 1 day, 6:07:29, Finish: 2024-11-24 11:38 [11-23 21:31:02] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.752 (6.752), Lt: 6.046 (6.046), Acc m&t: 2.74 4.30, Remain: 1 day, 6:08:12, Finish: 2024-11-24 11:39 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:51 tlr: 0.00013 tnm: 0.41 Lm: 6.688 (6.688) Lt: 5.976 (5.976) Accm: 2.99 (2.99) Acct: 4.61 (4.61) proj_loss: -0.5886 (-0.5886) time: 0.3544 data: 0.0004 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:52 tlr: 0.00013 tnm: 0.41 Lm: 6.624 (6.624) Lt: 5.903 (5.903) Accm: 2.97 (2.97) Acct: 4.51 (4.51) proj_loss: -0.5705 (-0.5705) time: 0.3548 data: 0.0004 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:51 tlr: 0.00013 tnm: 0.41 Lm: 6.778 (6.778) Lt: 6.047 (6.047) Accm: 2.62 (2.62) Acct: 3.87 (3.87) proj_loss: -0.5747 (-0.5747) time: 0.3543 data: 0.0004 [11-23 21:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:52 tlr: 0.00013 tnm: 0.41 Lm: 6.684 (6.684) Lt: 5.902 (5.902) Accm: 3.01 (3.01) Acct: 4.84 (4.84) proj_loss: -0.5779 (-0.5779) time: 0.3552 data: 0.0004 [11-23 21:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:08:04 tlr: 0.00013 tnm: 0.42 Lm: 6.724 (6.724) Lt: 5.962 (5.962) Accm: 2.92 (2.92) Acct: 4.69 (4.69) proj_loss: -0.5794 (-0.5794) time: 0.3610 data: 0.0003 [11-23 21:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:08:04 tlr: 0.00013 tnm: 0.42 Lm: 6.764 (6.764) Lt: 6.067 (6.067) Accm: 2.71 (2.71) Acct: 4.08 (4.08) proj_loss: -0.5949 (-0.5949) time: 0.3610 data: 0.0003 [11-23 21:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:08:04 tlr: 0.00013 tnm: 0.42 Lm: 6.762 (6.762) Lt: 6.074 (6.074) Accm: 2.75 (2.75) Acct: 4.24 (4.24) proj_loss: -0.5918 (-0.5918) time: 0.3610 data: 0.0003 [11-23 21:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:08:04 tlr: 0.00013 tnm: 0.42 Lm: 6.591 (6.591) Lt: 5.854 (5.854) Accm: 3.14 (3.14) Acct: 4.88 (4.88) proj_loss: -0.5828 (-0.5828) time: 0.3610 data: 0.0003 [11-23 21:36:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:15 tlr: 0.00013 tnm: 0.40 Lm: 6.624 (6.678) Lt: 5.903 (5.948) Accm: 2.97 (2.93) Acct: 4.51 (4.52) proj_loss: -0.5816 (-0.5824) time: 0.3655 data: 0.0003 [11-23 21:36:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:15 tlr: 0.00013 tnm: 0.40 Lm: 6.764 (6.763) Lt: 6.118 (6.088) Accm: 2.51 (2.65) Acct: 3.98 (4.16) proj_loss: -0.5950 (-0.5936) time: 0.3655 data: 0.0003 [11-23 21:36:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:15 tlr: 0.00013 tnm: 0.40 Lm: 6.716 (6.721) Lt: 6.022 (5.983) Accm: 2.84 (2.86) Acct: 4.55 (4.55) proj_loss: -0.5779 (-0.5775) time: 0.3655 data: 0.0003 [11-23 21:36:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:15 tlr: 0.00013 tnm: 0.40 Lm: 6.753 (6.760) Lt: 6.067 (6.067) Accm: 2.64 (2.69) Acct: 4.05 (4.07) proj_loss: -0.5810 (-0.5903) time: 0.3655 data: 0.0003 [11-23 21:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.751 (6.735) Lt: 6.057 (6.037) Accm: 2.72 (2.82) Acct: 4.17 (4.33) proj_loss: -0.5886 (-0.5918) time: 0.3631 data: 0.0003 [11-23 21:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.779 (6.770) Lt: 6.117 (6.095) Accm: 2.48 (2.60) Acct: 3.94 (4.09) proj_loss: -0.5951 (-0.5940) time: 0.3631 data: 0.0003 [11-23 21:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.740 (6.747) Lt: 6.024 (6.010) Accm: 2.78 (2.71) Acct: 4.41 (4.31) proj_loss: -0.5794 (-0.5863) time: 0.3631 data: 0.0003 [11-23 21:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.639 (6.672) Lt: 5.911 (5.941) Accm: 3.07 (2.99) Acct: 4.67 (4.59) proj_loss: -0.5877 (-0.5853) time: 0.3632 data: 0.0003 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.654 (6.713) Lt: 5.918 (5.997) Accm: 2.97 (2.85) Acct: 4.51 (4.37) proj_loss: -0.5883 (-0.5859) time: 0.3631 data: 0.0024 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:17 (0.370 s / it) [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.753 (6.740) Lt: 6.047 (6.036) Accm: 2.64 (2.75) Acct: 4.15 (4.29) proj_loss: -0.5963 (-0.5927) time: 0.3631 data: 0.0014 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.764 (6.753) Lt: 6.115 (6.069) Accm: 2.51 (2.69) Acct: 3.98 (4.24) proj_loss: -0.5953 (-0.5982) time: 0.3631 data: 0.0016 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.764 (6.769) Lt: 6.026 (6.025) Accm: 2.72 (2.70) Acct: 4.27 (4.28) proj_loss: -0.5779 (-0.5781) time: 0.3631 data: 0.0021 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:18 (0.370 s / it) [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:18 (0.370 s / it) [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:18 (0.370 s / it) [11-23 21:41:20] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.752 (6.766), Lt: 6.046 (6.066), Acc m&t: 2.74 4.30, Remain: 1 day, 5:44:15, Finish: 2024-11-24 11:25 [11-23 21:41:20] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.752 (6.766), Lt: 6.046 (6.066), Acc m&t: 2.74 4.30, Remain: 1 day, 5:45:11, Finish: 2024-11-24 11:26 [11-23 21:41:20] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.752 (6.766), Lt: 6.046 (6.066), Acc m&t: 2.74 4.30, Remain: 1 day, 5:44:10, Finish: 2024-11-24 11:25 [11-23 21:41:20] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.752 (6.766), Lt: 6.046 (6.066), Acc m&t: 2.74 4.30, Remain: 1 day, 5:45:22, Finish: 2024-11-24 11:26 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:37 tlr: 0.00013 tnm: 0.41 Lm: 6.713 (6.713) Lt: 5.977 (5.977) Accm: 2.81 (2.81) Acct: 4.32 (4.32) proj_loss: -0.6015 (-0.6015) time: 0.3460 data: 0.0003 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:40 tlr: 0.00013 tnm: 0.41 Lm: 6.783 (6.783) Lt: 6.099 (6.099) Accm: 2.46 (2.46) Acct: 4.05 (4.05) proj_loss: -0.6007 (-0.6007) time: 0.3480 data: 0.0004 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:40 tlr: 0.00013 tnm: 0.41 Lm: 6.869 (6.869) Lt: 6.229 (6.229) Accm: 2.67 (2.67) Acct: 4.29 (4.29) proj_loss: -0.6119 (-0.6119) time: 0.3479 data: 0.0004 [11-23 21:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:41 tlr: 0.00013 tnm: 0.41 Lm: 6.864 (6.864) Lt: 6.176 (6.176) Accm: 2.51 (2.51) Acct: 4.06 (4.06) proj_loss: -0.5881 (-0.5881) time: 0.3482 data: 0.0004 [11-23 21:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.41 Lm: 6.771 (6.771) Lt: 6.053 (6.053) Accm: 2.78 (2.78) Acct: 4.53 (4.53) proj_loss: -0.5942 (-0.5942) time: 0.3627 data: 0.0003 [11-23 21:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.41 Lm: 6.777 (6.777) Lt: 6.075 (6.075) Accm: 2.62 (2.62) Acct: 4.12 (4.12) proj_loss: -0.6068 (-0.6068) time: 0.3626 data: 0.0003 [11-23 21:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.41 Lm: 6.761 (6.761) Lt: 6.049 (6.049) Accm: 2.71 (2.71) Acct: 4.16 (4.16) proj_loss: -0.6007 (-0.6007) time: 0.3627 data: 0.0003 [11-23 21:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.41 Lm: 6.882 (6.882) Lt: 6.219 (6.219) Accm: 2.56 (2.56) Acct: 4.14 (4.14) proj_loss: -0.6038 (-0.6038) time: 0.3627 data: 0.0003 [11-23 21:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.886 (6.883) Lt: 6.216 (6.218) Accm: 2.45 (2.52) Acct: 3.99 (4.02) proj_loss: -0.5978 (-0.6018) time: 0.3629 data: 0.0003 [11-23 21:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.783 (6.789) Lt: 6.079 (6.076) Accm: 2.64 (2.63) Acct: 4.20 (4.19) proj_loss: -0.6007 (-0.5983) time: 0.3629 data: 0.0003 [11-23 21:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.808 (6.801) Lt: 6.120 (6.098) Accm: 2.61 (2.63) Acct: 3.99 (4.05) proj_loss: -0.6000 (-0.6000) time: 0.3629 data: 0.0003 [11-23 21:46:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.848 (6.797) Lt: 6.176 (6.107) Accm: 2.51 (2.62) Acct: 4.06 (4.14) proj_loss: -0.5887 (-0.5923) time: 0.3629 data: 0.0003 [11-23 21:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.852 (6.812) Lt: 6.164 (6.118) Accm: 2.55 (2.62) Acct: 4.05 (4.12) proj_loss: -0.5884 (-0.5892) time: 0.3607 data: 0.0003 [11-23 21:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.845 (6.832) Lt: 6.158 (6.147) Accm: 2.53 (2.56) Acct: 3.91 (3.88) proj_loss: -0.6007 (-0.6018) time: 0.3607 data: 0.0002 [11-23 21:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.878 (6.880) Lt: 6.213 (6.210) Accm: 2.46 (2.51) Acct: 3.98 (4.00) proj_loss: -0.5967 (-0.5947) time: 0.3607 data: 0.0003 [11-23 21:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.797 (6.808) Lt: 6.089 (6.102) Accm: 2.55 (2.53) Acct: 4.12 (4.03) proj_loss: -0.6021 (-0.5996) time: 0.3607 data: 0.0003 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.44 Lm: 6.812 (6.816) Lt: 6.099 (6.117) Accm: 2.46 (2.48) Acct: 4.05 (3.99) proj_loss: -0.6035 (-0.6011) time: 0.3648 data: 0.0017 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.44 Lm: 6.808 (6.809) Lt: 6.120 (6.129) Accm: 2.61 (2.62) Acct: 3.99 (3.92) proj_loss: -0.6015 (-0.6027) time: 0.3647 data: 0.0018 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.44 Lm: 6.848 (6.815) Lt: 6.160 (6.127) Accm: 2.59 (2.65) Acct: 4.06 (4.12) proj_loss: -0.5887 (-0.5919) time: 0.3648 data: 0.0015 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.44 Lm: 6.871 (6.850) Lt: 6.210 (6.163) Accm: 2.46 (2.58) Acct: 3.99 (4.16) proj_loss: -0.5956 (-0.5914) time: 0.3648 data: 0.0016 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:05 (0.363 s / it) [11-23 21:51:26] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.752 (6.772), Lt: 6.046 (6.072), Acc m&t: 2.74 4.30, Remain: 1 day, 5:46:47, Finish: 2024-11-24 11:38 [11-23 21:51:26] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.752 (6.772), Lt: 6.046 (6.072), Acc m&t: 2.74 4.30, Remain: 1 day, 5:46:48, Finish: 2024-11-24 11:38 [11-23 21:51:26] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.752 (6.772), Lt: 6.046 (6.072), Acc m&t: 2.74 4.30, Remain: 1 day, 5:45:57, Finish: 2024-11-24 11:37 [11-23 21:51:26] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.752 (6.772), Lt: 6.046 (6.072), Acc m&t: 2.74 4.30, Remain: 1 day, 5:46:16, Finish: 2024-11-24 11:37 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:37 tlr: 0.00013 tnm: 0.41 Lm: 6.841 (6.841) Lt: 6.140 (6.140) Accm: 2.52 (2.52) Acct: 4.13 (4.13) proj_loss: -0.5732 (-0.5732) time: 0.3458 data: 0.0004 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:46 tlr: 0.00013 tnm: 0.41 Lm: 6.731 (6.731) Lt: 6.015 (6.015) Accm: 2.82 (2.82) Acct: 4.46 (4.46) proj_loss: -0.6040 (-0.6040) time: 0.3513 data: 0.0004 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:37 tlr: 0.00013 tnm: 0.41 Lm: 6.842 (6.842) Lt: 6.143 (6.143) Accm: 2.35 (2.35) Acct: 3.63 (3.63) proj_loss: -0.5839 (-0.5839) time: 0.3460 data: 0.0004 [11-23 21:51:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:48 tlr: 0.00013 tnm: 0.41 Lm: 6.835 (6.835) Lt: 6.139 (6.139) Accm: 2.60 (2.60) Acct: 4.05 (4.05) proj_loss: -0.5939 (-0.5939) time: 0.3526 data: 0.0003 [11-23 21:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.43 Lm: 6.787 (6.787) Lt: 6.076 (6.076) Accm: 2.70 (2.70) Acct: 4.20 (4.20) proj_loss: -0.5879 (-0.5879) time: 0.3598 data: 0.0003 [11-23 21:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.43 Lm: 6.816 (6.816) Lt: 6.147 (6.147) Accm: 2.54 (2.54) Acct: 4.02 (4.02) proj_loss: -0.5955 (-0.5955) time: 0.3598 data: 0.0003 [11-23 21:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.43 Lm: 6.867 (6.867) Lt: 6.192 (6.192) Accm: 2.38 (2.38) Acct: 3.70 (3.70) proj_loss: -0.5841 (-0.5841) time: 0.3598 data: 0.0003 [11-23 21:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.43 Lm: 6.868 (6.868) Lt: 6.193 (6.193) Accm: 2.43 (2.43) Acct: 3.81 (3.81) proj_loss: -0.5861 (-0.5861) time: 0.3598 data: 0.0005 [11-23 21:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.43 Lm: 6.842 (6.834) Lt: 6.143 (6.169) Accm: 2.50 (2.54) Acct: 3.98 (4.01) proj_loss: -0.5883 (-0.5885) time: 0.3602 data: 0.0003 [11-23 21:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.43 Lm: 6.819 (6.817) Lt: 6.141 (6.145) Accm: 2.64 (2.57) Acct: 4.03 (4.02) proj_loss: -0.5871 (-0.5925) time: 0.3602 data: 0.0003 [11-23 21:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.43 Lm: 6.841 (6.782) Lt: 6.140 (6.099) Accm: 2.52 (2.58) Acct: 4.13 (4.06) proj_loss: -0.5902 (-0.5861) time: 0.3602 data: 0.0003 [11-23 21:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.43 Lm: 6.738 (6.756) Lt: 6.013 (6.044) Accm: 2.80 (2.81) Acct: 4.36 (4.45) proj_loss: -0.5939 (-0.5915) time: 0.3602 data: 0.0003 [11-23 21:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.782 (6.773) Lt: 6.076 (6.068) Accm: 2.70 (2.74) Acct: 4.20 (4.27) proj_loss: -0.5907 (-0.5904) time: 0.3625 data: 0.0007 [11-23 21:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.793 (6.773) Lt: 6.105 (6.092) Accm: 2.68 (2.65) Acct: 4.33 (4.18) proj_loss: -0.5907 (-0.5874) time: 0.3625 data: 0.0003 [11-23 21:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.806 (6.818) Lt: 6.133 (6.141) Accm: 2.53 (2.55) Acct: 3.98 (4.00) proj_loss: -0.5861 (-0.5841) time: 0.3625 data: 0.0003 [11-23 21:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:35 tlr: 0.00013 tnm: 0.41 Lm: 6.779 (6.798) Lt: 6.079 (6.113) Accm: 2.73 (2.65) Acct: 4.24 (4.14) proj_loss: -0.5884 (-0.5918) time: 0.3625 data: 0.0002 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.739 (6.755) Lt: 6.017 (6.056) Accm: 2.82 (2.80) Acct: 4.46 (4.45) proj_loss: -0.5871 (-0.5900) time: 0.4133 data: 0.0016 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:28 (0.376 s / it) [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.738 (6.754) Lt: 6.013 (6.045) Accm: 2.80 (2.78) Acct: 4.36 (4.30) proj_loss: -0.5874 (-0.5858) time: 0.4133 data: 0.0021 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.745 (6.763) Lt: 6.071 (6.078) Accm: 2.61 (2.64) Acct: 4.13 (4.14) proj_loss: -0.5913 (-0.5905) time: 0.4133 data: 0.0015 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.776 (6.810) Lt: 6.122 (6.129) Accm: 2.56 (2.57) Acct: 3.98 (4.04) proj_loss: -0.5883 (-0.5884) time: 0.4133 data: 0.0017 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:28 (0.376 s / it) [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:28 (0.376 s / it) [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:28 (0.376 s / it) [11-23 22:01:54] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.746 (6.746), Lt: 6.041 (6.041), Acc m&t: 2.75 4.31, Remain: 1 day, 5:48:27, Finish: 2024-11-24 11:50 [11-23 22:01:54] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.746 (6.746), Lt: 6.041 (6.041), Acc m&t: 2.75 4.31, Remain: 1 day, 5:47:05, Finish: 2024-11-24 11:48 [11-23 22:01:54] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.746 (6.746), Lt: 6.041 (6.041), Acc m&t: 2.75 4.31, Remain: 1 day, 5:47:29, Finish: 2024-11-24 11:49 [11-23 22:01:54] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.746 (6.746), Lt: 6.041 (6.041), Acc m&t: 2.75 4.31, Remain: 1 day, 5:48:10, Finish: 2024-11-24 11:50 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:09:58 tlr: 0.00013 tnm: 0.43 Lm: 6.641 (6.641) Lt: 5.965 (5.965) Accm: 2.78 (2.78) Acct: 4.22 (4.22) proj_loss: -0.6143 (-0.6143) time: 0.3587 data: 0.0003 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:09:59 tlr: 0.00013 tnm: 0.43 Lm: 6.682 (6.682) Lt: 5.965 (5.965) Accm: 3.01 (3.01) Acct: 4.70 (4.70) proj_loss: -0.5753 (-0.5753) time: 0.3594 data: 0.0004 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:10:00 tlr: 0.00013 tnm: 0.43 Lm: 6.610 (6.610) Lt: 5.831 (5.831) Accm: 3.13 (3.13) Acct: 5.03 (5.03) proj_loss: -0.5857 (-0.5857) time: 0.3597 data: 0.0004 [11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:09:58 tlr: 0.00013 tnm: 0.43 Lm: 6.887 (6.887) Lt: 6.235 (6.235) Accm: 2.46 (2.46) Acct: 3.55 (3.55) proj_loss: -0.5893 (-0.5893) time: 0.3589 data: 0.0004 [11-23 22:04:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:45 tlr: 0.00013 tnm: 0.43 Lm: 6.804 (6.804) Lt: 6.107 (6.107) Accm: 2.71 (2.71) Acct: 4.18 (4.18) proj_loss: -0.5875 (-0.5875) time: 0.3604 data: 0.0003 [11-23 22:04:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:45 tlr: 0.00013 tnm: 0.43 Lm: 6.641 (6.641) Lt: 5.950 (5.950) Accm: 2.93 (2.93) Acct: 4.58 (4.58) proj_loss: -0.6051 (-0.6051) time: 0.3604 data: 0.0003 [11-23 22:04:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:45 tlr: 0.00013 tnm: 0.43 Lm: 6.787 (6.787) Lt: 6.101 (6.101) Accm: 2.76 (2.76) Acct: 4.43 (4.43) proj_loss: -0.5801 (-0.5801) time: 0.3604 data: 0.0003 [11-23 22:04:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:45 tlr: 0.00013 tnm: 0.43 Lm: 6.637 (6.637) Lt: 5.902 (5.902) Accm: 3.01 (3.01) Acct: 4.72 (4.72) proj_loss: -0.5830 (-0.5830) time: 0.3604 data: 0.0003 [11-23 22:07:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.41 Lm: 6.664 (6.687) Lt: 5.972 (5.955) Accm: 2.89 (2.86) Acct: 4.41 (4.50) proj_loss: -0.5857 (-0.5854) time: 0.3623 data: 0.0002 [11-23 22:07:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.41 Lm: 6.712 (6.762) Lt: 5.999 (6.067) Accm: 2.88 (2.80) Acct: 4.68 (4.52) proj_loss: -0.5848 (-0.5819) time: 0.3623 data: 0.0003 [11-23 22:07:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.41 Lm: 6.859 (6.822) Lt: 6.227 (6.147) Accm: 2.46 (2.62) Acct: 3.55 (3.95) proj_loss: -0.5893 (-0.5949) time: 0.3623 data: 0.0003 [11-23 22:07:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.41 Lm: 6.641 (6.690) Lt: 5.965 (6.001) Accm: 2.78 (2.86) Acct: 4.22 (4.44) proj_loss: -0.5959 (-0.5895) time: 0.3623 data: 0.0003 [11-23 22:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.41 Lm: 6.715 (6.719) Lt: 6.020 (6.020) Accm: 2.75 (2.82) Acct: 4.24 (4.40) proj_loss: -0.5921 (-0.5892) time: 0.3654 data: 0.0003 [11-23 22:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.41 Lm: 6.676 (6.687) Lt: 5.971 (5.959) Accm: 2.92 (2.88) Acct: 4.52 (4.53) proj_loss: -0.5880 (-0.5906) time: 0.3654 data: 0.0003 [11-23 22:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.41 Lm: 6.832 (6.818) Lt: 6.149 (6.128) Accm: 2.51 (2.60) Acct: 3.85 (4.00) proj_loss: -0.5933 (-0.5954) time: 0.3654 data: 0.0003 [11-23 22:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:33 tlr: 0.00013 tnm: 0.41 Lm: 6.697 (6.726) Lt: 5.982 (6.009) Accm: 2.94 (2.89) Acct: 4.69 (4.67) proj_loss: -0.5851 (-0.5844) time: 0.3654 data: 0.0003 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.712 (6.759) Lt: 5.999 (6.053) Accm: 2.88 (2.79) Acct: 4.68 (4.47) proj_loss: -0.5855 (-0.5895) time: 0.3661 data: 0.0016 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:12 (0.367 s / it) [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.766 (6.728) Lt: 6.016 (6.019) Accm: 2.78 (2.83) Acct: 4.27 (4.45) proj_loss: -0.5959 (-0.5908) time: 0.3661 data: 0.0016 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.688 (6.702) Lt: 5.972 (5.981) Accm: 2.89 (2.85) Acct: 4.41 (4.44) proj_loss: -0.5902 (-0.5909) time: 0.3660 data: 0.0015 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.805 (6.799) Lt: 6.071 (6.103) Accm: 2.56 (2.64) Acct: 4.15 (4.07) proj_loss: -0.5924 (-0.5948) time: 0.3661 data: 0.0015 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:12 (0.367 s / it) [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:12 (0.367 s / it) [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:12 (0.367 s / it) [11-23 22:12:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.742 (6.742), Lt: 6.039 (6.039), Acc m&t: 2.75 4.31, Remain: 1 day, 5:31:37, Finish: 2024-11-24 11:43 [11-23 22:12:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.742 (6.742), Lt: 6.039 (6.039), Acc m&t: 2.75 4.31, Remain: 1 day, 5:31:35, Finish: 2024-11-24 11:43 [11-23 22:12:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.742 (6.742), Lt: 6.039 (6.039), Acc m&t: 2.75 4.31, Remain: 1 day, 5:31:20, Finish: 2024-11-24 11:43 [11-23 22:12:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.742 (6.742), Lt: 6.039 (6.039), Acc m&t: 2.75 4.31, Remain: 1 day, 5:31:57, Finish: 2024-11-24 11:44 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:09:57 tlr: 0.00013 tnm: 0.40 Lm: 6.890 (6.890) Lt: 6.198 (6.198) Accm: 2.54 (2.54) Acct: 4.06 (4.06) proj_loss: -0.5830 (-0.5830) time: 0.3580 data: 0.0004 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:09:52 tlr: 0.00013 tnm: 0.40 Lm: 6.799 (6.799) Lt: 6.043 (6.043) Accm: 2.71 (2.71) Acct: 4.15 (4.15) proj_loss: -0.5824 (-0.5824) time: 0.3547 data: 0.0004 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:09:58 tlr: 0.00013 tnm: 0.40 Lm: 6.741 (6.741) Lt: 6.032 (6.032) Accm: 2.62 (2.62) Acct: 4.03 (4.03) proj_loss: -0.6017 (-0.6017) time: 0.3584 data: 0.0003 [11-23 22:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:09:57 tlr: 0.00013 tnm: 0.40 Lm: 6.848 (6.848) Lt: 6.189 (6.189) Accm: 2.33 (2.33) Acct: 3.67 (3.67) proj_loss: -0.5870 (-0.5870) time: 0.3580 data: 0.0003 [11-23 22:14:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.39 Lm: 6.826 (6.826) Lt: 6.153 (6.153) Accm: 2.55 (2.55) Acct: 4.02 (4.02) proj_loss: -0.5866 (-0.5866) time: 0.3615 data: 0.0003 [11-23 22:14:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.39 Lm: 6.749 (6.749) Lt: 6.024 (6.024) Accm: 2.62 (2.62) Acct: 4.16 (4.16) proj_loss: -0.5879 (-0.5879) time: 0.3615 data: 0.0003 [11-23 22:14:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.39 Lm: 6.837 (6.837) Lt: 6.142 (6.142) Accm: 2.54 (2.54) Acct: 4.06 (4.06) proj_loss: -0.5944 (-0.5944) time: 0.3615 data: 0.0003 [11-23 22:14:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:34 tlr: 0.00013 tnm: 0.39 Lm: 6.754 (6.754) Lt: 6.035 (6.035) Accm: 2.79 (2.79) Acct: 4.55 (4.55) proj_loss: -0.5961 (-0.5961) time: 0.3615 data: 0.0003 [11-23 22:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.39 Lm: 6.710 (6.738) Lt: 6.027 (6.021) Accm: 2.78 (2.79) Acct: 4.24 (4.45) proj_loss: -0.6083 (-0.6002) time: 0.3615 data: 0.0002 [11-23 22:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.39 Lm: 6.784 (6.794) Lt: 6.087 (6.089) Accm: 2.54 (2.62) Acct: 4.06 (4.13) proj_loss: -0.6054 (-0.5981) time: 0.3615 data: 0.0003 [11-23 22:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.39 Lm: 6.832 (6.828) Lt: 6.149 (6.152) Accm: 2.34 (2.48) Acct: 3.67 (3.89) proj_loss: -0.5870 (-0.5885) time: 0.3615 data: 0.0003 [11-23 22:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.39 Lm: 6.758 (6.822) Lt: 6.032 (6.123) Accm: 2.62 (2.42) Acct: 4.03 (3.85) proj_loss: -0.5954 (-0.5904) time: 0.3615 data: 0.0003 [11-23 22:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.749 (6.789) Lt: 6.024 (6.085) Accm: 2.62 (2.58) Acct: 4.16 (4.08) proj_loss: -0.5847 (-0.5835) time: 0.3626 data: 0.0003 [11-23 22:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.747 (6.763) Lt: 6.035 (6.053) Accm: 2.67 (2.70) Acct: 4.16 (4.23) proj_loss: -0.6042 (-0.5993) time: 0.3626 data: 0.0003 [11-23 22:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.818 (6.795) Lt: 6.133 (6.115) Accm: 2.53 (2.54) Acct: 4.02 (4.02) proj_loss: -0.5897 (-0.5898) time: 0.3626 data: 0.0003 [11-23 22:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.754 (6.753) Lt: 6.035 (6.042) Accm: 2.79 (2.79) Acct: 4.36 (4.46) proj_loss: -0.6054 (-0.6007) time: 0.3626 data: 0.0002 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.799 (6.772) Lt: 6.043 (6.066) Accm: 2.78 (2.73) Acct: 4.24 (4.36) proj_loss: -0.6024 (-0.5980) time: 0.3674 data: 0.0021 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.784 (6.786) Lt: 6.087 (6.077) Accm: 2.54 (2.60) Acct: 4.06 (4.01) proj_loss: -0.6030 (-0.5941) time: 0.3674 data: 0.0022 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.804 (6.755) Lt: 6.116 (6.071) Accm: 2.73 (2.67) Acct: 4.37 (4.23) proj_loss: -0.5923 (-0.5944) time: 0.3674 data: 0.0014 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.758 (6.784) Lt: 6.032 (6.081) Accm: 2.62 (2.64) Acct: 4.29 (4.16) proj_loss: -0.5870 (-0.5842) time: 0.3674 data: 0.0019 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:22:13] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.742 (6.771), Lt: 6.039 (6.070), Acc m&t: 2.75 4.31, Remain: 1 day, 5:15:20, Finish: 2024-11-24 11:37 [11-23 22:22:13] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.742 (6.771), Lt: 6.039 (6.070), Acc m&t: 2.75 4.31, Remain: 1 day, 5:15:23, Finish: 2024-11-24 11:37 [11-23 22:22:13] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.742 (6.771), Lt: 6.039 (6.070), Acc m&t: 2.75 4.31, Remain: 1 day, 5:16:04, Finish: 2024-11-24 11:38 [11-23 22:22:13] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.742 (6.771), Lt: 6.039 (6.070), Acc m&t: 2.75 4.31, Remain: 1 day, 5:15:50, Finish: 2024-11-24 11:38 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:05 tlr: 0.00013 tnm: 0.40 Lm: 6.731 (6.731) Lt: 6.022 (6.022) Accm: 2.45 (2.45) Acct: 3.84 (3.84) proj_loss: -0.5696 (-0.5696) time: 0.3630 data: 0.0004 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:17 tlr: 0.00013 tnm: 0.40 Lm: 6.963 (6.963) Lt: 6.337 (6.337) Accm: 2.31 (2.31) Acct: 3.44 (3.44) proj_loss: -0.6182 (-0.6182) time: 0.3700 data: 0.0003 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:15 tlr: 0.00013 tnm: 0.40 Lm: 6.801 (6.801) Lt: 6.092 (6.092) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: -0.5842 (-0.5842) time: 0.3690 data: 0.0003 [11-23 22:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:07 tlr: 0.00013 tnm: 0.40 Lm: 6.673 (6.673) Lt: 5.967 (5.967) Accm: 2.88 (2.88) Acct: 4.36 (4.36) proj_loss: -0.6057 (-0.6057) time: 0.3638 data: 0.0003 [11-23 22:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.692 (6.692) Lt: 5.994 (5.994) Accm: 2.87 (2.87) Acct: 4.35 (4.35) proj_loss: -0.5953 (-0.5953) time: 0.3624 data: 0.0003 [11-23 22:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.645 (6.645) Lt: 5.963 (5.963) Accm: 3.04 (3.04) Acct: 4.65 (4.65) proj_loss: -0.5882 (-0.5882) time: 0.3624 data: 0.0003 [11-23 22:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.927 (6.927) Lt: 6.286 (6.286) Accm: 2.32 (2.32) Acct: 3.57 (3.57) proj_loss: -0.6064 (-0.6064) time: 0.3624 data: 0.0003 [11-23 22:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.42 Lm: 6.696 (6.696) Lt: 5.985 (5.985) Accm: 2.94 (2.94) Acct: 4.65 (4.65) proj_loss: -0.5942 (-0.5942) time: 0.3624 data: 0.0003 [11-23 22:27:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.801 (6.761) Lt: 6.092 (6.040) Accm: 2.64 (2.82) Acct: 4.24 (4.50) proj_loss: -0.5876 (-0.5920) time: 0.3648 data: 0.0003 [11-23 22:27:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.711 (6.706) Lt: 6.020 (6.010) Accm: 2.86 (2.84) Acct: 4.34 (4.29) proj_loss: -0.6057 (-0.6028) time: 0.3648 data: 0.0003 [11-23 22:27:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.891 (6.849) Lt: 6.235 (6.174) Accm: 2.33 (2.51) Acct: 3.70 (3.95) proj_loss: -0.5945 (-0.6009) time: 0.3648 data: 0.0003 [11-23 22:27:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.612 (6.634) Lt: 5.982 (5.969) Accm: 3.00 (3.03) Acct: 4.44 (4.58) proj_loss: -0.6068 (-0.5991) time: 0.3648 data: 0.0003 [11-23 22:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.42 Lm: 6.639 (6.642) Lt: 5.962 (5.962) Accm: 3.05 (3.04) Acct: 4.62 (4.64) proj_loss: -0.6082 (-0.6018) time: 0.4043 data: 0.0003 [11-23 22:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.42 Lm: 6.722 (6.727) Lt: 6.026 (6.015) Accm: 2.81 (2.77) Acct: 4.26 (4.17) proj_loss: -0.5968 (-0.5991) time: 0.4043 data: 0.0003 [11-23 22:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.42 Lm: 6.819 (6.823) Lt: 6.117 (6.130) Accm: 2.58 (2.59) Acct: 4.07 (4.08) proj_loss: -0.5982 (-0.6012) time: 0.4043 data: 0.0003 [11-23 22:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.42 Lm: 6.753 (6.747) Lt: 6.022 (6.018) Accm: 2.83 (2.87) Acct: 4.56 (4.60) proj_loss: -0.5915 (-0.5929) time: 0.4043 data: 0.0003 [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.801 (6.789) Lt: 6.092 (6.072) Accm: 2.64 (2.74) Acct: 4.24 (4.40) proj_loss: -0.5888 (-0.5921) time: 0.3661 data: 0.0017 [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:29 (0.377 s / it) [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.733 (6.744) Lt: 6.032 (6.034) Accm: 2.77 (2.70) Acct: 4.18 (4.07) proj_loss: -0.5879 (-0.5961) time: 0.3661 data: 0.0017 [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.666 (6.668) Lt: 5.982 (5.981) Accm: 3.00 (2.97) Acct: 4.44 (4.54) proj_loss: -0.6068 (-0.5991) time: 0.3660 data: 0.0016 [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.42 Lm: 6.830 (6.825) Lt: 6.136 (6.131) Accm: 2.58 (2.59) Acct: 3.70 (3.98) proj_loss: -0.5945 (-0.5985) time: 0.3660 data: 0.0019 [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:29 (0.377 s / it) [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:29 (0.377 s / it) [11-23 22:32:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:29 (0.377 s / it) [11-23 22:32:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.75 4.31, Remain: 1 day, 4:58:44, Finish: 2024-11-24 11:31 [11-23 22:32:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.75 4.31, Remain: 1 day, 4:58:33, Finish: 2024-11-24 11:31 [11-23 22:32:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.75 4.31, Remain: 1 day, 4:58:41, Finish: 2024-11-24 11:31 [11-23 22:32:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.75 4.31, Remain: 1 day, 4:58:35, Finish: 2024-11-24 11:31 [11-23 22:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:09:55 tlr: 0.00013 tnm: 0.41 Lm: 6.739 (6.739) Lt: 6.038 (6.038) Accm: 2.91 (2.91) Acct: 4.30 (4.30) proj_loss: -0.5901 (-0.5901) time: 0.3568 data: 0.0004 [11-23 22:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:09:56 tlr: 0.00013 tnm: 0.41 Lm: 6.706 (6.706) Lt: 5.987 (5.987) Accm: 2.56 (2.56) Acct: 4.06 (4.06) proj_loss: -0.5948 (-0.5948) time: 0.3575 data: 0.0004 [11-23 22:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:09:55 tlr: 0.00013 tnm: 0.41 Lm: 6.794 (6.794) Lt: 6.086 (6.086) Accm: 2.80 (2.80) Acct: 4.32 (4.32) proj_loss: -0.5810 (-0.5810) time: 0.3569 data: 0.0004 [11-23 22:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:09:56 tlr: 0.00013 tnm: 0.41 Lm: 6.879 (6.879) Lt: 6.267 (6.267) Accm: 2.43 (2.43) Acct: 3.74 (3.74) proj_loss: -0.5897 (-0.5897) time: 0.3576 data: 0.0004 [11-23 22:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:41 tlr: 0.00013 tnm: 0.40 Lm: 6.816 (6.816) Lt: 6.126 (6.126) Accm: 2.65 (2.65) Acct: 4.18 (4.18) proj_loss: -0.5999 (-0.5999) time: 0.3586 data: 0.0002 [11-23 22:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:41 tlr: 0.00013 tnm: 0.40 Lm: 6.764 (6.764) Lt: 6.057 (6.057) Accm: 2.78 (2.78) Acct: 4.23 (4.23) proj_loss: -0.5808 (-0.5808) time: 0.3586 data: 0.0003 [11-23 22:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:41 tlr: 0.00013 tnm: 0.40 Lm: 6.782 (6.782) Lt: 6.068 (6.068) Accm: 2.75 (2.75) Acct: 4.48 (4.48) proj_loss: -0.5900 (-0.5900) time: 0.3586 data: 0.0003 [11-23 22:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:41 tlr: 0.00013 tnm: 0.40 Lm: 6.721 (6.721) Lt: 5.991 (5.991) Accm: 2.66 (2.66) Acct: 4.13 (4.13) proj_loss: -0.5928 (-0.5928) time: 0.3586 data: 0.0003 [11-23 22:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.736 (6.752) Lt: 5.994 (6.026) Accm: 2.56 (2.59) Acct: 4.06 (4.10) proj_loss: -0.5908 (-0.5859) time: 0.3613 data: 0.0003 [11-23 22:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.739 (6.704) Lt: 6.038 (6.010) Accm: 2.91 (2.98) Acct: 4.30 (4.57) proj_loss: -0.5901 (-0.5943) time: 0.3613 data: 0.0003 [11-23 22:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.770 (6.777) Lt: 6.050 (6.046) Accm: 2.69 (2.71) Acct: 4.37 (4.44) proj_loss: -0.5990 (-0.5948) time: 0.3613 data: 0.0003 [11-23 22:37:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.40 Lm: 6.753 (6.770) Lt: 5.986 (6.075) Accm: 2.87 (2.72) Acct: 4.61 (4.33) proj_loss: -0.6100 (-0.6055) time: 0.3613 data: 0.0003 [11-23 22:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.43 Lm: 6.751 (6.765) Lt: 6.040 (6.080) Accm: 2.87 (2.77) Acct: 4.26 (4.23) proj_loss: -0.6042 (-0.6037) time: 0.3634 data: 0.0003 [11-23 22:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.43 Lm: 6.755 (6.721) Lt: 6.045 (6.020) Accm: 2.90 (2.96) Acct: 4.49 (4.60) proj_loss: -0.5838 (-0.5901) time: 0.3634 data: 0.0003 [11-23 22:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.43 Lm: 6.725 (6.742) Lt: 6.019 (6.030) Accm: 2.61 (2.61) Acct: 4.13 (4.13) proj_loss: -0.5928 (-0.5886) time: 0.3634 data: 0.0003 [11-23 22:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.43 Lm: 6.782 (6.813) Lt: 6.068 (6.082) Accm: 2.67 (2.63) Acct: 4.35 (4.24) proj_loss: -0.5900 (-0.5895) time: 0.3634 data: 0.0003 [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.770 (6.802) Lt: 6.052 (6.076) Accm: 2.65 (2.61) Acct: 4.32 (4.23) proj_loss: -0.5961 (-0.5908) time: 0.3633 data: 0.0015 [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.739 (6.724) Lt: 6.051 (6.033) Accm: 2.89 (2.90) Acct: 4.30 (4.50) proj_loss: -0.5901 (-0.5938) time: 0.3633 data: 0.0015 [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.736 (6.752) Lt: 6.043 (6.036) Accm: 2.56 (2.58) Acct: 4.06 (4.08) proj_loss: -0.5908 (-0.5850) time: 0.3633 data: 0.0017 [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:09 (0.365 s / it) [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.748 (6.740) Lt: 5.986 (6.052) Accm: 2.87 (2.84) Acct: 4.58 (4.30) proj_loss: -0.5983 (-0.6007) time: 0.3633 data: 0.0018 [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:09 (0.365 s / it) [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:09 (0.365 s / it) [11-23 22:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:09 (0.365 s / it) [11-23 22:45:04] (home/user/VAR/trainer.py, line 114)=> FID: 4.344076230730025 [11-23 22:45:05] (/home/user/VAR/train.py , line 259)=> [*] [ep179] (val 50000) Lm: 6.7530, Lt: 6.0481, Acc m&t: 2.73 4.28, Val cost: 133.31s [11-23 22:45:05] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-23 22:45:20] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.742 (6.753), Lt: 6.039 (6.048), Acc m&t: 2.75 4.31, Remain: 1 day, 4:48:26, Finish: 2024-11-24 11:31 [11-23 22:45:20] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.742 (6.753), Lt: 6.039 (6.048), Acc m&t: 2.75 4.31, Remain: 1 day, 4:48:27, Finish: 2024-11-24 11:31 [11-23 22:45:20] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.742 (6.753), Lt: 6.039 (6.048), Acc m&t: 2.75 4.31, Remain: 1 day, 4:48:33, Finish: 2024-11-24 11:31 [11-23 22:45:20] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.742 (6.753), Lt: 6.039 (6.048), Acc m&t: 2.75 4.31, Remain: 1 day, 4:50:15, Finish: 2024-11-24 11:33 [11-23 22:45:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:10:06 tlr: 0.00013 tnm: 0.42 Lm: 6.804 (6.804) Lt: 6.154 (6.154) Accm: 2.67 (2.67) Acct: 4.44 (4.44) proj_loss: -0.5891 (-0.5891) time: 0.3636 data: 0.0004 [11-23 22:45:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:10:06 tlr: 0.00013 tnm: 0.42 Lm: 6.820 (6.820) Lt: 6.088 (6.088) Accm: 2.44 (2.44) Acct: 3.89 (3.89) proj_loss: -0.5864 (-0.5864) time: 0.3633 data: 0.0003 [11-23 22:45:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:10:06 tlr: 0.00013 tnm: 0.42 Lm: 6.766 (6.766) Lt: 6.064 (6.064) Accm: 2.45 (2.45) Acct: 3.72 (3.72) proj_loss: -0.5683 (-0.5683) time: 0.3633 data: 0.0004 [11-23 22:45:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:10:07 tlr: 0.00013 tnm: 0.42 Lm: 6.672 (6.672) Lt: 5.970 (5.970) Accm: 2.99 (2.99) Acct: 4.73 (4.73) proj_loss: -0.5781 (-0.5781) time: 0.3640 data: 0.0004 [11-23 22:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.40 Lm: 6.724 (6.724) Lt: 5.988 (5.988) Accm: 2.95 (2.95) Acct: 4.73 (4.73) proj_loss: -0.5828 (-0.5828) time: 0.3628 data: 0.0003 [11-23 22:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.40 Lm: 6.774 (6.774) Lt: 6.078 (6.078) Accm: 2.51 (2.51) Acct: 3.91 (3.91) proj_loss: -0.5881 (-0.5881) time: 0.3628 data: 0.0003 [11-23 22:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.40 Lm: 6.723 (6.723) Lt: 6.034 (6.034) Accm: 2.65 (2.65) Acct: 4.16 (4.16) proj_loss: -0.6049 (-0.6049) time: 0.3628 data: 0.0003 [11-23 22:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:33 tlr: 0.00013 tnm: 0.40 Lm: 6.811 (6.811) Lt: 6.147 (6.147) Accm: 2.67 (2.67) Acct: 4.33 (4.33) proj_loss: -0.5881 (-0.5881) time: 0.3628 data: 0.0003 [11-23 22:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.804 (6.742) Lt: 6.139 (6.049) Accm: 2.67 (2.85) Acct: 4.44 (4.57) proj_loss: -0.5891 (-0.5941) time: 0.3638 data: 0.0003 [11-23 22:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.766 (6.731) Lt: 6.064 (6.033) Accm: 2.58 (2.66) Acct: 4.10 (4.13) proj_loss: -0.5844 (-0.5869) time: 0.3638 data: 0.0003 [11-23 22:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.672 (6.665) Lt: 5.970 (5.912) Accm: 2.99 (3.03) Acct: 4.73 (4.90) proj_loss: -0.5781 (-0.5784) time: 0.3638 data: 0.0003 [11-23 22:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.820 (6.785) Lt: 6.088 (6.102) Accm: 2.44 (2.53) Acct: 3.89 (3.97) proj_loss: -0.5979 (-0.6026) time: 0.3638 data: 0.0003 [11-23 22:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.818 (6.793) Lt: 6.119 (6.114) Accm: 2.52 (2.55) Acct: 4.05 (4.03) proj_loss: -0.5994 (-0.6021) time: 0.3639 data: 0.0003 [11-23 22:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.774 (6.750) Lt: 6.078 (6.065) Accm: 2.57 (2.64) Acct: 3.91 (3.98) proj_loss: -0.5921 (-0.5901) time: 0.3639 data: 0.0003 [11-23 22:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.724 (6.697) Lt: 5.988 (5.954) Accm: 2.95 (2.92) Acct: 4.73 (4.72) proj_loss: -0.5828 (-0.5850) time: 0.3639 data: 0.0002 [11-23 22:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.780 (6.745) Lt: 6.115 (6.060) Accm: 2.73 (2.84) Acct: 4.36 (4.50) proj_loss: -0.5897 (-0.5932) time: 0.3639 data: 0.0003 [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.755 (6.744) Lt: 6.091 (6.060) Accm: 2.78 (2.83) Acct: 4.30 (4.46) proj_loss: -0.5903 (-0.5940) time: 0.3666 data: 0.0017 [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.816 (6.777) Lt: 6.088 (6.093) Accm: 2.60 (2.60) Acct: 4.01 (4.03) proj_loss: -0.5979 (-0.6010) time: 0.3666 data: 0.0017 [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.773 (6.754) Lt: 6.064 (6.056) Accm: 2.56 (2.62) Acct: 4.10 (4.02) proj_loss: -0.5962 (-0.5913) time: 0.3666 data: 0.0021 [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.777 (6.724) Lt: 6.005 (5.987) Accm: 2.91 (2.80) Acct: 4.72 (4.52) proj_loss: -0.5874 (-0.5864) time: 0.3666 data: 0.0019 [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:55:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:05 (0.363 s / it) [11-23 22:55:25] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.043), Acc m&t: 2.75 4.31, Remain: 1 day, 4:53:52, Finish: 2024-11-24 11:49 [11-23 22:55:25] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.043), Acc m&t: 2.75 4.31, Remain: 1 day, 4:51:46, Finish: 2024-11-24 11:47 [11-23 22:55:25] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.043), Acc m&t: 2.75 4.31, Remain: 1 day, 4:54:32, Finish: 2024-11-24 11:49 [11-23 22:55:25] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.043), Acc m&t: 2.75 4.31, Remain: 1 day, 4:54:24, Finish: 2024-11-24 11:49 [11-23 22:55:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:09:34 tlr: 0.00013 tnm: 0.40 Lm: 6.640 (6.640) Lt: 5.928 (5.928) Accm: 2.91 (2.91) Acct: 4.36 (4.36) proj_loss: -0.6030 (-0.6030) time: 0.3443 data: 0.0004 [11-23 22:55:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:09:33 tlr: 0.00013 tnm: 0.40 Lm: 6.617 (6.617) Lt: 5.881 (5.881) Accm: 2.86 (2.86) Acct: 4.84 (4.84) proj_loss: -0.6040 (-0.6040) time: 0.3433 data: 0.0003 [11-23 22:55:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:09:29 tlr: 0.00013 tnm: 0.40 Lm: 6.648 (6.648) Lt: 5.903 (5.903) Accm: 2.91 (2.91) Acct: 4.36 (4.36) proj_loss: -0.5895 (-0.5895) time: 0.3414 data: 0.0004 [11-23 22:55:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:09:36 tlr: 0.00013 tnm: 0.40 Lm: 6.811 (6.811) Lt: 6.074 (6.074) Accm: 2.61 (2.61) Acct: 4.29 (4.29) proj_loss: -0.5853 (-0.5853) time: 0.3452 data: 0.0004 [11-23 22:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:37 tlr: 0.00013 tnm: 0.41 Lm: 6.777 (6.777) Lt: 6.066 (6.066) Accm: 2.63 (2.63) Acct: 4.25 (4.25) proj_loss: -0.5885 (-0.5885) time: 0.4110 data: 0.0004 [11-23 22:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:37 tlr: 0.00013 tnm: 0.41 Lm: 6.638 (6.638) Lt: 5.905 (5.905) Accm: 2.78 (2.78) Acct: 4.59 (4.59) proj_loss: -0.5969 (-0.5969) time: 0.4110 data: 0.0003 [11-23 22:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:37 tlr: 0.00013 tnm: 0.41 Lm: 6.750 (6.750) Lt: 6.043 (6.043) Accm: 2.73 (2.73) Acct: 4.18 (4.18) proj_loss: -0.5903 (-0.5903) time: 0.4110 data: 0.0003 [11-23 22:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:37 tlr: 0.00013 tnm: 0.41 Lm: 6.722 (6.722) Lt: 5.997 (5.997) Accm: 2.81 (2.81) Acct: 4.47 (4.47) proj_loss: -0.5918 (-0.5918) time: 0.4110 data: 0.0003 [11-23 23:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:09 tlr: 0.00013 tnm: 0.41 Lm: 6.795 (6.784) Lt: 6.091 (6.066) Accm: 2.71 (2.64) Acct: 4.36 (4.20) proj_loss: -0.5895 (-0.5839) time: 0.3633 data: 0.0002 [11-23 23:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:09 tlr: 0.00013 tnm: 0.41 Lm: 6.659 (6.686) Lt: 5.928 (5.961) Accm: 2.70 (2.73) Acct: 4.34 (4.45) proj_loss: -0.5910 (-0.5949) time: 0.3633 data: 0.0002 [11-23 23:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:09 tlr: 0.00013 tnm: 0.41 Lm: 6.811 (6.825) Lt: 6.074 (6.132) Accm: 2.61 (2.52) Acct: 4.22 (4.05) proj_loss: -0.5853 (-0.5851) time: 0.3633 data: 0.0003 [11-23 23:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:09 tlr: 0.00013 tnm: 0.41 Lm: 6.791 (6.764) Lt: 6.086 (6.058) Accm: 2.54 (2.61) Acct: 4.01 (4.07) proj_loss: -0.5898 (-0.5902) time: 0.3633 data: 0.0003 [11-23 23:03:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.40 Lm: 6.793 (6.772) Lt: 6.083 (6.063) Accm: 2.63 (2.64) Acct: 4.18 (4.15) proj_loss: -0.5964 (-0.5949) time: 0.3640 data: 0.0003 [11-23 23:03:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.40 Lm: 6.654 (6.677) Lt: 5.924 (5.951) Accm: 2.78 (2.78) Acct: 4.48 (4.49) proj_loss: -0.5975 (-0.5982) time: 0.3640 data: 0.0003 [11-23 23:03:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.40 Lm: 6.777 (6.789) Lt: 6.066 (6.101) Accm: 2.63 (2.62) Acct: 4.25 (4.16) proj_loss: -0.5885 (-0.5880) time: 0.3640 data: 0.0003 [11-23 23:03:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.40 Lm: 6.748 (6.763) Lt: 6.060 (6.057) Accm: 2.71 (2.66) Acct: 4.29 (4.21) proj_loss: -0.5918 (-0.5905) time: 0.3640 data: 0.0004 [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.795 (6.793) Lt: 6.091 (6.087) Accm: 2.71 (2.63) Acct: 4.22 (4.19) proj_loss: -0.5899 (-0.5903) time: 0.3614 data: 0.0017 [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.649 (6.671) Lt: 5.928 (5.949) Accm: 2.80 (2.79) Acct: 4.48 (4.49) proj_loss: -0.5979 (-0.5981) time: 0.3614 data: 0.0016 [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.811 (6.807) Lt: 6.074 (6.124) Accm: 2.61 (2.55) Acct: 4.22 (4.04) proj_loss: -0.5918 (-0.5896) time: 0.3614 data: 0.0016 [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.791 (6.750) Lt: 6.079 (6.037) Accm: 2.72 (2.71) Acct: 4.36 (4.26) proj_loss: -0.6023 (-0.5964) time: 0.3614 data: 0.0021 [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:05:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:05:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.742 (6.756), Lt: 6.039 (6.060), Acc m&t: 2.75 4.31, Remain: 1 day, 4:23:40, Finish: 2024-11-24 11:29 [11-23 23:05:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.742 (6.756), Lt: 6.039 (6.060), Acc m&t: 2.75 4.31, Remain: 1 day, 4:24:21, Finish: 2024-11-24 11:30 [11-23 23:05:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.742 (6.756), Lt: 6.039 (6.060), Acc m&t: 2.75 4.31, Remain: 1 day, 4:25:27, Finish: 2024-11-24 11:31 [11-23 23:05:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.742 (6.756), Lt: 6.039 (6.060), Acc m&t: 2.75 4.31, Remain: 1 day, 4:25:05, Finish: 2024-11-24 11:31 [11-23 23:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:09:32 tlr: 0.00012 tnm: 0.42 Lm: 6.753 (6.753) Lt: 6.044 (6.044) Accm: 2.61 (2.61) Acct: 3.89 (3.89) proj_loss: -0.5844 (-0.5844) time: 0.3433 data: 0.0004 [11-23 23:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.42 Lm: 6.739 (6.739) Lt: 6.033 (6.033) Accm: 2.61 (2.61) Acct: 4.15 (4.15) proj_loss: -0.5896 (-0.5896) time: 0.3434 data: 0.0003 [11-23 23:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:09:28 tlr: 0.00012 tnm: 0.42 Lm: 6.852 (6.852) Lt: 6.166 (6.166) Accm: 2.42 (2.42) Acct: 3.53 (3.53) proj_loss: -0.6230 (-0.6230) time: 0.3409 data: 0.0003 [11-23 23:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:09:28 tlr: 0.00012 tnm: 0.42 Lm: 6.761 (6.761) Lt: 6.099 (6.099) Accm: 2.32 (2.32) Acct: 3.72 (3.72) proj_loss: -0.6048 (-0.6048) time: 0.3405 data: 0.0004 [11-23 23:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:42 tlr: 0.00012 tnm: 0.39 Lm: 6.810 (6.810) Lt: 6.102 (6.102) Accm: 2.39 (2.39) Acct: 3.64 (3.64) proj_loss: -0.5907 (-0.5907) time: 0.4078 data: 0.0003 [11-23 23:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:42 tlr: 0.00012 tnm: 0.39 Lm: 6.715 (6.715) Lt: 6.033 (6.033) Accm: 2.66 (2.66) Acct: 4.29 (4.29) proj_loss: -0.5921 (-0.5921) time: 0.4078 data: 0.0003 [11-23 23:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:42 tlr: 0.00012 tnm: 0.39 Lm: 6.877 (6.877) Lt: 6.190 (6.190) Accm: 2.35 (2.35) Acct: 3.62 (3.62) proj_loss: -0.5841 (-0.5841) time: 0.4078 data: 0.0003 [11-23 23:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:42 tlr: 0.00012 tnm: 0.39 Lm: 6.839 (6.839) Lt: 6.157 (6.157) Accm: 2.33 (2.33) Acct: 3.53 (3.53) proj_loss: -0.6025 (-0.6025) time: 0.4078 data: 0.0002 [11-23 23:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.42 Lm: 6.827 (6.816) Lt: 6.148 (6.128) Accm: 2.42 (2.47) Acct: 3.53 (3.76) proj_loss: -0.6034 (-0.6028) time: 0.3646 data: 0.0002 [11-23 23:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.42 Lm: 6.739 (6.756) Lt: 6.033 (6.072) Accm: 2.61 (2.62) Acct: 4.24 (4.27) proj_loss: -0.5921 (-0.5921) time: 0.3646 data: 0.0002 [11-23 23:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.42 Lm: 6.797 (6.805) Lt: 6.099 (6.101) Accm: 2.45 (2.53) Acct: 3.72 (3.85) proj_loss: -0.6048 (-0.5970) time: 0.3646 data: 0.0003 [11-23 23:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.42 Lm: 6.832 (6.862) Lt: 6.101 (6.161) Accm: 2.45 (2.38) Acct: 3.67 (3.63) proj_loss: -0.5844 (-0.5883) time: 0.3646 data: 0.0003 [11-23 23:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.41 Lm: 6.794 (6.835) Lt: 6.076 (6.133) Accm: 2.53 (2.54) Acct: 3.78 (3.89) proj_loss: -0.5905 (-0.5923) time: 0.3624 data: 0.0003 [11-23 23:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.41 Lm: 6.779 (6.750) Lt: 6.098 (6.023) Accm: 2.63 (2.70) Acct: 3.99 (4.21) proj_loss: -0.5935 (-0.5933) time: 0.3624 data: 0.0003 [11-23 23:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.41 Lm: 6.806 (6.808) Lt: 6.122 (6.120) Accm: 2.56 (2.53) Acct: 3.76 (3.82) proj_loss: -0.5927 (-0.5960) time: 0.3624 data: 0.0003 [11-23 23:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.41 Lm: 6.749 (6.757) Lt: 6.062 (6.077) Accm: 2.63 (2.62) Acct: 4.19 (4.22) proj_loss: -0.5917 (-0.5919) time: 0.3624 data: 0.0003 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.759 (6.772) Lt: 6.090 (6.090) Accm: 2.61 (2.60) Acct: 4.15 (4.19) proj_loss: -0.5913 (-0.5915) time: 0.3651 data: 0.0016 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:08 (0.365 s / it) [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.784 (6.757) Lt: 6.096 (6.066) Accm: 2.70 (2.70) Acct: 3.99 (4.06) proj_loss: -0.6034 (-0.5988) time: 0.3651 data: 0.0016 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.795 (6.827) Lt: 6.086 (6.124) Accm: 2.61 (2.58) Acct: 3.89 (3.98) proj_loss: -0.5853 (-0.5909) time: 0.3651 data: 0.0015 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.761 (6.746) Lt: 6.098 (6.027) Accm: 2.80 (2.75) Acct: 4.27 (4.26) proj_loss: -0.5822 (-0.5894) time: 0.3651 data: 0.0019 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:08 (0.365 s / it) [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:08 (0.365 s / it) [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:08 (0.365 s / it) [11-23 23:16:04] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.049), Acc m&t: 2.76 4.32, Remain: 1 day, 4:23:58, Finish: 2024-11-24 11:40 [11-23 23:16:04] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.049), Acc m&t: 2.76 4.32, Remain: 1 day, 4:24:16, Finish: 2024-11-24 11:40 [11-23 23:16:04] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.049), Acc m&t: 2.76 4.32, Remain: 1 day, 4:25:14, Finish: 2024-11-24 11:41 [11-23 23:16:04] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.049), Acc m&t: 2.76 4.32, Remain: 1 day, 4:24:38, Finish: 2024-11-24 11:40 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:09:53 tlr: 0.00012 tnm: 0.42 Lm: 6.646 (6.646) Lt: 5.918 (5.918) Accm: 2.78 (2.78) Acct: 4.24 (4.24) proj_loss: -0.5965 (-0.5965) time: 0.3558 data: 0.0004 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:09:53 tlr: 0.00012 tnm: 0.42 Lm: 6.780 (6.780) Lt: 6.096 (6.096) Accm: 2.59 (2.59) Acct: 3.91 (3.91) proj_loss: -0.6000 (-0.6000) time: 0.3557 data: 0.0004 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:09:54 tlr: 0.00012 tnm: 0.42 Lm: 6.711 (6.711) Lt: 6.046 (6.046) Accm: 2.88 (2.88) Acct: 4.48 (4.48) proj_loss: -0.6137 (-0.6137) time: 0.3563 data: 0.0003 [11-23 23:16:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:09:54 tlr: 0.00012 tnm: 0.42 Lm: 6.806 (6.806) Lt: 6.149 (6.149) Accm: 2.62 (2.62) Acct: 3.82 (3.82) proj_loss: -0.5970 (-0.5970) time: 0.3565 data: 0.0004 [11-23 23:18:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.42 Lm: 6.753 (6.753) Lt: 6.078 (6.078) Accm: 2.71 (2.71) Acct: 4.05 (4.05) proj_loss: -0.5900 (-0.5900) time: 0.3627 data: 0.0003 [11-23 23:18:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.42 Lm: 6.712 (6.712) Lt: 6.006 (6.006) Accm: 2.76 (2.76) Acct: 4.22 (4.22) proj_loss: -0.5891 (-0.5891) time: 0.3627 data: 0.0002 [11-23 23:18:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.42 Lm: 6.735 (6.735) Lt: 6.076 (6.076) Accm: 2.81 (2.81) Acct: 4.20 (4.20) proj_loss: -0.6074 (-0.6074) time: 0.3627 data: 0.0002 [11-23 23:18:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.42 Lm: 6.794 (6.794) Lt: 6.083 (6.083) Accm: 2.63 (2.63) Acct: 4.11 (4.11) proj_loss: -0.5925 (-0.5925) time: 0.3627 data: 0.0003 [11-23 23:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.43 Lm: 6.780 (6.777) Lt: 6.070 (6.055) Accm: 2.64 (2.64) Acct: 4.20 (4.14) proj_loss: -0.5951 (-0.5934) time: 0.3627 data: 0.0003 [11-23 23:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.43 Lm: 6.676 (6.700) Lt: 5.957 (5.990) Accm: 2.78 (2.83) Acct: 4.24 (4.30) proj_loss: -0.5914 (-0.5899) time: 0.3627 data: 0.0003 [11-23 23:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.43 Lm: 6.747 (6.739) Lt: 6.073 (6.075) Accm: 2.73 (2.75) Acct: 4.25 (4.22) proj_loss: -0.6010 (-0.5957) time: 0.3627 data: 0.0003 [11-23 23:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.43 Lm: 6.722 (6.743) Lt: 6.007 (6.051) Accm: 2.62 (2.68) Acct: 4.18 (4.09) proj_loss: -0.5829 (-0.5775) time: 0.3627 data: 0.0003 [11-23 23:23:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.42 Lm: 6.712 (6.722) Lt: 6.002 (6.008) Accm: 2.71 (2.80) Acct: 4.23 (4.33) proj_loss: -0.5858 (-0.5803) time: 0.3616 data: 0.0003 [11-23 23:23:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.42 Lm: 6.709 (6.711) Lt: 5.997 (6.002) Accm: 2.76 (2.76) Acct: 4.22 (4.24) proj_loss: -0.5871 (-0.5881) time: 0.3616 data: 0.0003 [11-23 23:23:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.42 Lm: 6.729 (6.724) Lt: 6.060 (6.047) Accm: 2.81 (2.78) Acct: 4.25 (4.23) proj_loss: -0.5925 (-0.5928) time: 0.3616 data: 0.0003 [11-23 23:23:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.42 Lm: 6.775 (6.775) Lt: 6.048 (6.048) Accm: 2.66 (2.66) Acct: 4.25 (4.20) proj_loss: -0.5901 (-0.5909) time: 0.3616 data: 0.0003 [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.770 (6.766) Lt: 6.025 (6.040) Accm: 2.64 (2.65) Acct: 4.20 (4.18) proj_loss: -0.5900 (-0.5907) time: 0.3629 data: 0.0015 [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.742 (6.745) Lt: 6.036 (6.044) Accm: 2.73 (2.69) Acct: 4.20 (4.17) proj_loss: -0.5914 (-0.5895) time: 0.3629 data: 0.0020 [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.747 (6.750) Lt: 6.073 (6.073) Accm: 2.73 (2.71) Acct: 4.25 (4.16) proj_loss: -0.6010 (-0.5956) time: 0.3629 data: 0.0020 [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.722 (6.728) Lt: 6.007 (6.016) Accm: 2.62 (2.74) Acct: 4.18 (4.23) proj_loss: -0.5888 (-0.5825) time: 0.3629 data: 0.0018 [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:26:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:26:10] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.76 4.32, Remain: 1 day, 4:04:44, Finish: 2024-11-24 11:30 [11-23 23:26:10] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.76 4.32, Remain: 1 day, 4:04:53, Finish: 2024-11-24 11:31 [11-23 23:26:10] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.76 4.32, Remain: 1 day, 4:04:41, Finish: 2024-11-24 11:30 [11-23 23:26:10] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.742 (6.759), Lt: 6.039 (6.058), Acc m&t: 2.76 4.32, Remain: 1 day, 4:04:53, Finish: 2024-11-24 11:31 [11-23 23:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.42 Lm: 6.697 (6.697) Lt: 5.967 (5.967) Accm: 2.73 (2.73) Acct: 4.34 (4.34) proj_loss: -0.5763 (-0.5763) time: 0.3439 data: 0.0004 [11-23 23:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.42 Lm: 6.709 (6.709) Lt: 5.974 (5.974) Accm: 2.75 (2.75) Acct: 4.42 (4.42) proj_loss: -0.6050 (-0.6050) time: 0.3436 data: 0.0003 [11-23 23:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:34 tlr: 0.00012 tnm: 0.42 Lm: 6.660 (6.660) Lt: 5.941 (5.941) Accm: 2.97 (2.97) Acct: 4.77 (4.77) proj_loss: -0.5987 (-0.5987) time: 0.3444 data: 0.0004 [11-23 23:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:35 tlr: 0.00012 tnm: 0.42 Lm: 6.816 (6.816) Lt: 6.122 (6.122) Accm: 2.42 (2.42) Acct: 3.62 (3.62) proj_loss: -0.6117 (-0.6117) time: 0.3445 data: 0.0004 [11-23 23:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.43 Lm: 6.804 (6.804) Lt: 6.111 (6.111) Accm: 2.49 (2.49) Acct: 3.72 (3.72) proj_loss: -0.6008 (-0.6008) time: 0.3625 data: 0.0003 [11-23 23:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.43 Lm: 6.698 (6.698) Lt: 5.954 (5.954) Accm: 2.90 (2.90) Acct: 4.78 (4.78) proj_loss: -0.6023 (-0.6023) time: 0.3625 data: 0.0003 [11-23 23:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.43 Lm: 6.769 (6.769) Lt: 6.082 (6.082) Accm: 2.66 (2.66) Acct: 4.18 (4.18) proj_loss: -0.5873 (-0.5873) time: 0.3625 data: 0.0003 [11-23 23:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.43 Lm: 6.753 (6.753) Lt: 6.040 (6.040) Accm: 2.60 (2.60) Acct: 4.05 (4.05) proj_loss: -0.5770 (-0.5770) time: 0.3625 data: 0.0003 [11-23 23:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:10 tlr: 0.00012 tnm: 0.41 Lm: 6.722 (6.742) Lt: 5.972 (6.017) Accm: 2.73 (2.68) Acct: 4.34 (4.24) proj_loss: -0.5776 (-0.5836) time: 0.4050 data: 0.0003 [11-23 23:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:10 tlr: 0.00012 tnm: 0.41 Lm: 6.709 (6.705) Lt: 5.958 (5.955) Accm: 2.75 (2.85) Acct: 4.42 (4.64) proj_loss: -0.5996 (-0.5974) time: 0.4050 data: 0.0003 [11-23 23:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:10 tlr: 0.00012 tnm: 0.41 Lm: 6.836 (6.791) Lt: 6.178 (6.114) Accm: 2.59 (2.63) Acct: 4.18 (4.18) proj_loss: -0.5987 (-0.5952) time: 0.4050 data: 0.0003 [11-23 23:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:10 tlr: 0.00012 tnm: 0.41 Lm: 6.793 (6.781) Lt: 6.100 (6.086) Accm: 2.56 (2.59) Acct: 3.82 (3.87) proj_loss: -0.5978 (-0.5998) time: 0.4050 data: 0.0003 [11-23 23:34:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.41 Lm: 6.763 (6.768) Lt: 6.069 (6.064) Accm: 2.68 (2.65) Acct: 4.00 (4.05) proj_loss: -0.6006 (-0.6007) time: 0.3613 data: 0.0003 [11-23 23:34:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.41 Lm: 6.709 (6.728) Lt: 5.972 (6.006) Accm: 2.79 (2.73) Acct: 4.48 (4.33) proj_loss: -0.5830 (-0.5848) time: 0.3613 data: 0.0003 [11-23 23:34:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.41 Lm: 6.703 (6.703) Lt: 5.966 (5.968) Accm: 2.90 (2.91) Acct: 4.56 (4.66) proj_loss: -0.5943 (-0.5953) time: 0.3613 data: 0.0003 [11-23 23:34:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.41 Lm: 6.856 (6.816) Lt: 6.193 (6.138) Accm: 2.47 (2.56) Acct: 3.88 (4.02) proj_loss: -0.5940 (-0.5938) time: 0.3613 data: 0.0003 [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.836 (6.765) Lt: 6.178 (6.079) Accm: 2.59 (2.66) Acct: 4.18 (4.12) proj_loss: -0.5894 (-0.5925) time: 0.3651 data: 0.0016 [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.697 (6.691) Lt: 5.958 (5.960) Accm: 2.91 (2.91) Acct: 4.56 (4.64) proj_loss: -0.5996 (-0.5977) time: 0.3651 data: 0.0016 [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.722 (6.755) Lt: 5.972 (6.034) Accm: 2.73 (2.64) Acct: 4.34 (4.18) proj_loss: -0.5842 (-0.5847) time: 0.3651 data: 0.0019 [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.753 (6.765) Lt: 6.042 (6.060) Accm: 2.56 (2.63) Acct: 4.18 (4.09) proj_loss: -0.5978 (-0.5969) time: 0.3651 data: 0.0020 [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:36:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:29 (0.377 s / it) [11-23 23:36:40] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.045), Acc m&t: 2.76 4.32, Remain: 1 day, 3:59:44, Finish: 2024-11-24 11:36 [11-23 23:36:40] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.045), Acc m&t: 2.76 4.32, Remain: 1 day, 3:59:58, Finish: 2024-11-24 11:36 [11-23 23:36:40] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.045), Acc m&t: 2.76 4.32, Remain: 1 day, 4:00:19, Finish: 2024-11-24 11:36 [11-23 23:36:40] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.742 (6.750), Lt: 6.039 (6.045), Acc m&t: 2.76 4.32, Remain: 1 day, 3:59:26, Finish: 2024-11-24 11:36 [11-23 23:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:48 tlr: 0.00012 tnm: 0.42 Lm: 6.723 (6.723) Lt: 5.994 (5.994) Accm: 2.79 (2.79) Acct: 4.55 (4.55) proj_loss: -0.5850 (-0.5850) time: 0.3526 data: 0.0004 [11-23 23:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:49 tlr: 0.00012 tnm: 0.42 Lm: 6.769 (6.769) Lt: 6.028 (6.028) Accm: 2.91 (2.91) Acct: 4.42 (4.42) proj_loss: -0.5781 (-0.5781) time: 0.3530 data: 0.0004 [11-23 23:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:42 tlr: 0.00012 tnm: 0.42 Lm: 6.822 (6.822) Lt: 6.173 (6.173) Accm: 2.32 (2.32) Acct: 3.44 (3.44) proj_loss: -0.5898 (-0.5898) time: 0.3490 data: 0.0004 [11-23 23:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:49 tlr: 0.00012 tnm: 0.42 Lm: 6.880 (6.880) Lt: 6.215 (6.215) Accm: 2.38 (2.38) Acct: 3.81 (3.81) proj_loss: -0.5821 (-0.5821) time: 0.3533 data: 0.0004 [11-23 23:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.43 Lm: 6.844 (6.844) Lt: 6.168 (6.168) Accm: 2.43 (2.43) Acct: 3.68 (3.68) proj_loss: -0.5845 (-0.5845) time: 0.3641 data: 0.0003 [11-23 23:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.43 Lm: 6.816 (6.816) Lt: 6.137 (6.137) Accm: 2.69 (2.69) Acct: 3.95 (3.95) proj_loss: -0.5894 (-0.5894) time: 0.3641 data: 0.0003 [11-23 23:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.43 Lm: 6.669 (6.669) Lt: 5.939 (5.939) Accm: 3.05 (3.05) Acct: 4.83 (4.83) proj_loss: -0.5929 (-0.5929) time: 0.3641 data: 0.0003 [11-23 23:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.43 Lm: 6.834 (6.834) Lt: 6.144 (6.144) Accm: 2.36 (2.36) Acct: 3.68 (3.68) proj_loss: -0.5896 (-0.5896) time: 0.3642 data: 0.0003 [11-23 23:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.41 Lm: 6.845 (6.857) Lt: 6.173 (6.163) Accm: 2.36 (2.36) Acct: 3.68 (3.68) proj_loss: -0.5894 (-0.5870) time: 0.3622 data: 0.0003 [11-23 23:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.41 Lm: 6.723 (6.700) Lt: 5.994 (5.996) Accm: 2.79 (2.96) Acct: 4.55 (4.70) proj_loss: -0.5927 (-0.5928) time: 0.3622 data: 0.0003 [11-23 23:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.41 Lm: 6.880 (6.859) Lt: 6.187 (6.174) Accm: 2.38 (2.36) Acct: 3.56 (3.58) proj_loss: -0.5821 (-0.5794) time: 0.3622 data: 0.0003 [11-23 23:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:05 tlr: 0.00012 tnm: 0.41 Lm: 6.796 (6.809) Lt: 6.111 (6.128) Accm: 2.46 (2.60) Acct: 3.60 (3.83) proj_loss: -0.6007 (-0.5982) time: 0.3622 data: 0.0003 [11-23 23:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.783 (6.770) Lt: 6.070 (6.095) Accm: 2.69 (2.71) Acct: 4.01 (4.02) proj_loss: -0.6020 (-0.5995) time: 0.3610 data: 0.0003 [11-23 23:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.844 (6.803) Lt: 6.154 (6.110) Accm: 2.43 (2.49) Acct: 3.68 (3.83) proj_loss: -0.5845 (-0.5865) time: 0.3610 data: 0.0002 [11-23 23:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.718 (6.703) Lt: 6.001 (5.999) Accm: 2.79 (2.90) Acct: 4.49 (4.57) proj_loss: -0.5927 (-0.5928) time: 0.3610 data: 0.0005 [11-23 23:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.834 (6.793) Lt: 6.144 (6.094) Accm: 2.38 (2.60) Acct: 3.80 (4.05) proj_loss: -0.5887 (-0.5872) time: 0.3610 data: 0.0003 [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.822 (6.793) Lt: 6.114 (6.096) Accm: 2.40 (2.56) Acct: 3.68 (3.95) proj_loss: -0.5894 (-0.5902) time: 0.3652 data: 0.0019 [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:08 (0.364 s / it) [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.769 (6.744) Lt: 6.028 (6.048) Accm: 2.91 (2.85) Acct: 4.42 (4.29) proj_loss: -0.6007 (-0.5959) time: 0.3652 data: 0.0017 [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.713 (6.701) Lt: 5.994 (5.988) Accm: 2.79 (2.91) Acct: 4.55 (4.58) proj_loss: -0.5927 (-0.5947) time: 0.3652 data: 0.0014 [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.807 (6.793) Lt: 6.121 (6.095) Accm: 2.47 (2.54) Acct: 3.81 (3.92) proj_loss: -0.5868 (-0.5905) time: 0.3653 data: 0.0020 [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:08 (0.364 s / it) [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:08 (0.364 s / it) [11-23 23:46:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:08 (0.364 s / it) [11-23 23:46:48] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.742 (6.746), Lt: 6.039 (6.042), Acc m&t: 2.76 4.32, Remain: 1 day, 3:51:29, Finish: 2024-11-24 11:38 [11-23 23:46:48] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.742 (6.746), Lt: 6.039 (6.042), Acc m&t: 2.76 4.32, Remain: 1 day, 3:50:53, Finish: 2024-11-24 11:37 [11-23 23:46:48] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.742 (6.746), Lt: 6.039 (6.042), Acc m&t: 2.76 4.32, Remain: 1 day, 3:51:46, Finish: 2024-11-24 11:38 [11-23 23:46:48] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.742 (6.746), Lt: 6.039 (6.042), Acc m&t: 2.76 4.32, Remain: 1 day, 3:50:24, Finish: 2024-11-24 11:37 [11-23 23:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:09:46 tlr: 0.00012 tnm: 0.41 Lm: 6.823 (6.823) Lt: 6.025 (6.025) Accm: 2.87 (2.87) Acct: 4.80 (4.80) proj_loss: -0.5771 (-0.5771) time: 0.3514 data: 0.0003 [11-23 23:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:09:50 tlr: 0.00012 tnm: 0.41 Lm: 6.841 (6.841) Lt: 6.142 (6.142) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: -0.6055 (-0.6055) time: 0.3536 data: 0.0003 [11-23 23:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:09:36 tlr: 0.00012 tnm: 0.41 Lm: 6.730 (6.730) Lt: 5.946 (5.946) Accm: 2.67 (2.67) Acct: 4.36 (4.36) proj_loss: -0.5944 (-0.5944) time: 0.3453 data: 0.0004 [11-23 23:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:09:50 tlr: 0.00012 tnm: 0.41 Lm: 6.701 (6.701) Lt: 5.990 (5.990) Accm: 3.05 (3.05) Acct: 5.08 (5.08) proj_loss: -0.6067 (-0.6067) time: 0.3539 data: 0.0003 [11-23 23:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.758 (6.758) Lt: 6.068 (6.068) Accm: 2.68 (2.68) Acct: 4.39 (4.39) proj_loss: -0.5940 (-0.5940) time: 0.3601 data: 0.0003 [11-23 23:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.736 (6.736) Lt: 6.004 (6.004) Accm: 3.00 (3.00) Acct: 4.80 (4.80) proj_loss: -0.5906 (-0.5906) time: 0.3601 data: 0.0003 [11-23 23:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.874 (6.874) Lt: 6.188 (6.188) Accm: 2.58 (2.58) Acct: 4.02 (4.02) proj_loss: -0.5961 (-0.5961) time: 0.3601 data: 0.0003 [11-23 23:49:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.744 (6.744) Lt: 5.979 (5.979) Accm: 2.67 (2.67) Acct: 4.39 (4.39) proj_loss: -0.5955 (-0.5955) time: 0.3601 data: 0.0003 [11-23 23:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.41 Lm: 6.757 (6.754) Lt: 6.013 (6.006) Accm: 2.68 (2.69) Acct: 4.36 (4.38) proj_loss: -0.5966 (-0.5969) time: 0.3620 data: 0.0003 [11-23 23:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.41 Lm: 6.841 (6.794) Lt: 6.142 (6.095) Accm: 2.74 (2.81) Acct: 4.32 (4.30) proj_loss: -0.6055 (-0.6012) time: 0.3620 data: 0.0005 [11-23 23:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.41 Lm: 6.732 (6.735) Lt: 6.025 (6.024) Accm: 2.89 (2.96) Acct: 4.79 (4.66) proj_loss: -0.6041 (-0.5960) time: 0.3620 data: 0.0003 [11-23 23:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.41 Lm: 6.701 (6.728) Lt: 5.990 (6.021) Accm: 2.91 (2.75) Acct: 4.56 (4.45) proj_loss: -0.5847 (-0.5909) time: 0.3620 data: 0.0003 [11-23 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.713 (6.727) Lt: 6.015 (6.026) Accm: 2.87 (2.78) Acct: 4.66 (4.52) proj_loss: -0.5957 (-0.5960) time: 0.3612 data: 0.0003 [11-23 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.713 (6.725) Lt: 6.014 (6.019) Accm: 2.88 (2.93) Acct: 4.65 (4.62) proj_loss: -0.6055 (-0.6022) time: 0.3613 data: 0.0002 [11-23 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.765 (6.772) Lt: 6.036 (6.035) Accm: 2.67 (2.67) Acct: 4.36 (4.32) proj_loss: -0.5981 (-0.5984) time: 0.3612 data: 0.0002 [11-23 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.776 (6.773) Lt: 6.088 (6.080) Accm: 2.76 (2.80) Acct: 4.39 (4.34) proj_loss: -0.6078 (-0.6034) time: 0.3613 data: 0.0002 [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.726 (6.764) Lt: 6.034 (6.061) Accm: 2.74 (2.78) Acct: 4.32 (4.30) proj_loss: -0.6055 (-0.5985) time: 0.3619 data: 0.0020 [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.695 (6.712) Lt: 6.004 (6.000) Accm: 2.89 (2.96) Acct: 4.79 (4.66) proj_loss: -0.6041 (-0.5958) time: 0.3619 data: 0.0016 [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.757 (6.739) Lt: 6.013 (6.006) Accm: 2.68 (2.72) Acct: 4.36 (4.40) proj_loss: -0.5966 (-0.5977) time: 0.3619 data: 0.0014 [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.726 (6.730) Lt: 6.001 (6.021) Accm: 2.88 (2.80) Acct: 4.67 (4.55) proj_loss: -0.6067 (-0.5983) time: 0.3619 data: 0.0022 [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:56:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:06 (0.363 s / it) [11-23 23:56:55] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.046), Acc m&t: 2.76 4.32, Remain: 1 day, 3:31:37, Finish: 2024-11-24 11:28 [11-23 23:56:55] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.046), Acc m&t: 2.76 4.32, Remain: 1 day, 3:32:00, Finish: 2024-11-24 11:28 [11-23 23:56:55] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.046), Acc m&t: 2.76 4.32, Remain: 1 day, 3:32:04, Finish: 2024-11-24 11:28 [11-23 23:56:55] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.742 (6.751), Lt: 6.039 (6.046), Acc m&t: 2.76 4.32, Remain: 1 day, 3:32:06, Finish: 2024-11-24 11:29 [11-23 23:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.43 Lm: 6.843 (6.843) Lt: 6.127 (6.127) Accm: 2.40 (2.40) Acct: 4.08 (4.08) proj_loss: -0.5910 (-0.5910) time: 0.3438 data: 0.0004 [11-23 23:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:34 tlr: 0.00012 tnm: 0.43 Lm: 6.743 (6.743) Lt: 6.007 (6.007) Accm: 2.92 (2.92) Acct: 4.53 (4.53) proj_loss: -0.6104 (-0.6104) time: 0.3445 data: 0.0003 [11-23 23:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:34 tlr: 0.00012 tnm: 0.43 Lm: 6.680 (6.680) Lt: 5.910 (5.910) Accm: 3.05 (3.05) Acct: 5.08 (5.08) proj_loss: -0.5903 (-0.5903) time: 0.3444 data: 0.0003 [11-23 23:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.43 Lm: 6.734 (6.734) Lt: 6.013 (6.013) Accm: 2.96 (2.96) Acct: 4.80 (4.80) proj_loss: -0.5940 (-0.5940) time: 0.3437 data: 0.0003 [11-23 23:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.41 Lm: 6.718 (6.718) Lt: 6.005 (6.005) Accm: 2.89 (2.89) Acct: 4.52 (4.52) proj_loss: -0.5956 (-0.5956) time: 0.3608 data: 0.0003 [11-23 23:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.41 Lm: 6.759 (6.759) Lt: 6.036 (6.036) Accm: 2.68 (2.68) Acct: 4.33 (4.33) proj_loss: -0.5888 (-0.5888) time: 0.3608 data: 0.0003 [11-23 23:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.41 Lm: 6.688 (6.688) Lt: 5.951 (5.951) Accm: 2.99 (2.99) Acct: 4.61 (4.61) proj_loss: -0.5957 (-0.5957) time: 0.3608 data: 0.0003 [11-23 23:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:41 tlr: 0.00012 tnm: 0.41 Lm: 6.814 (6.814) Lt: 6.098 (6.098) Accm: 2.70 (2.70) Acct: 4.19 (4.19) proj_loss: -0.5909 (-0.5909) time: 0.3608 data: 0.0003 [11-24 00:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.42 Lm: 6.832 (6.820) Lt: 6.116 (6.104) Accm: 2.60 (2.66) Acct: 4.10 (4.16) proj_loss: -0.5896 (-0.5905) time: 0.3640 data: 0.0003 [11-24 00:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.42 Lm: 6.681 (6.733) Lt: 5.945 (6.006) Accm: 2.96 (2.85) Acct: 4.58 (4.48) proj_loss: -0.5910 (-0.5896) time: 0.3640 data: 0.0003 [11-24 00:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.42 Lm: 6.703 (6.708) Lt: 5.996 (5.985) Accm: 2.96 (2.96) Acct: 4.80 (4.67) proj_loss: -0.5940 (-0.5918) time: 0.3640 data: 0.0003 [11-24 00:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.42 Lm: 6.697 (6.697) Lt: 5.991 (5.964) Accm: 2.94 (2.95) Acct: 4.51 (4.57) proj_loss: -0.5903 (-0.5937) time: 0.3640 data: 0.0003 [11-24 00:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.43 Lm: 6.706 (6.709) Lt: 5.991 (5.985) Accm: 2.89 (2.89) Acct: 4.33 (4.47) proj_loss: -0.5957 (-0.5957) time: 0.4501 data: 0.0003 [11-24 00:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.43 Lm: 6.726 (6.743) Lt: 6.006 (6.021) Accm: 2.72 (2.76) Acct: 4.33 (4.33) proj_loss: -0.5911 (-0.5915) time: 0.4501 data: 0.0003 [11-24 00:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.43 Lm: 6.787 (6.794) Lt: 6.079 (6.089) Accm: 2.66 (2.68) Acct: 4.15 (4.17) proj_loss: -0.5954 (-0.5931) time: 0.4501 data: 0.0003 [11-24 00:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.43 Lm: 6.718 (6.719) Lt: 6.005 (6.007) Accm: 2.89 (2.92) Acct: 4.61 (4.61) proj_loss: -0.5956 (-0.5961) time: 0.4501 data: 0.0003 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.703 (6.706) Lt: 5.996 (5.999) Accm: 2.96 (2.95) Acct: 4.80 (4.67) proj_loss: -0.5972 (-0.5990) time: 0.3649 data: 0.0014 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.771 (6.783) Lt: 6.066 (6.076) Accm: 2.48 (2.65) Acct: 4.08 (4.14) proj_loss: -0.5912 (-0.5944) time: 0.3649 data: 0.0018 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.697 (6.681) Lt: 5.991 (5.954) Accm: 2.94 (2.97) Acct: 4.51 (4.61) proj_loss: -0.5903 (-0.5931) time: 0.3649 data: 0.0016 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.832 (6.815) Lt: 6.116 (6.115) Accm: 2.60 (2.56) Acct: 4.10 (4.00) proj_loss: -0.5896 (-0.5886) time: 0.3649 data: 0.0022 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:07:28] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.733 (6.733), Lt: 6.027 (6.027), Acc m&t: 2.77 4.35, Remain: 1 day, 3:29:37, Finish: 2024-11-24 11:37 [11-24 00:07:28] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.733 (6.733), Lt: 6.027 (6.027), Acc m&t: 2.77 4.35, Remain: 1 day, 3:29:43, Finish: 2024-11-24 11:37 [11-24 00:07:28] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.733 (6.733), Lt: 6.027 (6.027), Acc m&t: 2.77 4.35, Remain: 1 day, 3:29:18, Finish: 2024-11-24 11:36 [11-24 00:07:28] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.733 (6.733), Lt: 6.027 (6.027), Acc m&t: 2.77 4.35, Remain: 1 day, 3:29:01, Finish: 2024-11-24 11:36 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:38 tlr: 0.00012 tnm: 0.44 Lm: 6.705 (6.705) Lt: 6.019 (6.019) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5953 (-0.5953) time: 0.3466 data: 0.0004 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:39 tlr: 0.00012 tnm: 0.44 Lm: 6.766 (6.766) Lt: 6.084 (6.084) Accm: 2.91 (2.91) Acct: 4.36 (4.36) proj_loss: -0.6037 (-0.6037) time: 0.3470 data: 0.0004 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:39 tlr: 0.00012 tnm: 0.44 Lm: 6.836 (6.836) Lt: 6.134 (6.134) Accm: 2.24 (2.24) Acct: 3.44 (3.44) proj_loss: -0.5836 (-0.5836) time: 0.3470 data: 0.0004 [11-24 00:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:38 tlr: 0.00012 tnm: 0.44 Lm: 6.727 (6.727) Lt: 5.987 (5.987) Accm: 2.62 (2.62) Acct: 4.29 (4.29) proj_loss: -0.6000 (-0.6000) time: 0.3466 data: 0.0004 [11-24 00:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.44 Lm: 6.699 (6.699) Lt: 5.977 (5.977) Accm: 2.72 (2.72) Acct: 4.33 (4.33) proj_loss: -0.6087 (-0.6087) time: 0.3608 data: 0.0003 [11-24 00:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.44 Lm: 6.801 (6.801) Lt: 6.135 (6.135) Accm: 2.49 (2.49) Acct: 3.90 (3.90) proj_loss: -0.6000 (-0.6000) time: 0.3609 data: 0.0003 [11-24 00:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.44 Lm: 6.820 (6.820) Lt: 6.099 (6.099) Accm: 2.44 (2.44) Acct: 3.87 (3.87) proj_loss: -0.5947 (-0.5947) time: 0.3609 data: 0.0003 [11-24 00:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.44 Lm: 6.684 (6.684) Lt: 5.983 (5.983) Accm: 2.92 (2.92) Acct: 4.42 (4.42) proj_loss: -0.5849 (-0.5849) time: 0.3609 data: 0.0003 [11-24 00:12:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.41 Lm: 6.766 (6.758) Lt: 6.084 (6.062) Accm: 2.91 (2.78) Acct: 4.36 (4.37) proj_loss: -0.5746 (-0.5814) time: 0.3637 data: 0.0003 [11-24 00:12:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.41 Lm: 6.836 (6.839) Lt: 6.134 (6.115) Accm: 2.53 (2.47) Acct: 3.94 (3.89) proj_loss: -0.5836 (-0.5905) time: 0.3637 data: 0.0003 [11-24 00:12:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.41 Lm: 6.784 (6.795) Lt: 6.092 (6.120) Accm: 2.40 (2.46) Acct: 3.51 (3.77) proj_loss: -0.5995 (-0.5998) time: 0.3637 data: 0.0003 [11-24 00:12:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.41 Lm: 6.727 (6.737) Lt: 5.987 (6.035) Accm: 2.62 (2.64) Acct: 4.29 (4.24) proj_loss: -0.6020 (-0.6065) time: 0.3637 data: 0.0003 [11-24 00:15:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.770 (6.760) Lt: 6.067 (6.063) Accm: 2.59 (2.62) Acct: 4.18 (4.18) proj_loss: -0.6025 (-0.6056) time: 0.3612 data: 0.0003 [11-24 00:15:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.762 (6.758) Lt: 6.071 (6.061) Accm: 2.87 (2.79) Acct: 4.38 (4.38) proj_loss: -0.5828 (-0.5839) time: 0.3612 data: 0.0003 [11-24 00:15:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.745 (6.751) Lt: 6.056 (6.060) Accm: 2.57 (2.63) Acct: 3.93 (4.07) proj_loss: -0.6009 (-0.6004) time: 0.3612 data: 0.0002 [11-24 00:15:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.820 (6.812) Lt: 6.099 (6.093) Accm: 2.58 (2.55) Acct: 4.12 (3.99) proj_loss: -0.5894 (-0.5917) time: 0.3612 data: 0.0002 [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.803 (6.784) Lt: 6.065 (6.072) Accm: 2.64 (2.64) Acct: 4.29 (4.17) proj_loss: -0.5934 (-0.5921) time: 0.3654 data: 0.0016 [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:06 (0.363 s / it) [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.758 (6.754) Lt: 6.058 (6.057) Accm: 2.82 (2.79) Acct: 4.37 (4.38) proj_loss: -0.5874 (-0.5846) time: 0.3655 data: 0.0016 [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.727 (6.743) Lt: 5.987 (6.039) Accm: 2.62 (2.68) Acct: 4.29 (4.24) proj_loss: -0.6020 (-0.6025) time: 0.3654 data: 0.0015 [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.784 (6.780) Lt: 6.092 (6.095) Accm: 2.47 (2.59) Acct: 4.10 (4.07) proj_loss: -0.5995 (-0.5968) time: 0.3654 data: 0.0019 [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:06 (0.363 s / it) [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:06 (0.363 s / it) [11-24 00:17:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:06 (0.363 s / it) [11-24 00:17:34] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.733 (6.749), Lt: 6.027 (6.046), Acc m&t: 2.77 4.35, Remain: 1 day, 3:17:12, Finish: 2024-11-24 11:34 [11-24 00:17:34] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.733 (6.749), Lt: 6.027 (6.046), Acc m&t: 2.77 4.35, Remain: 1 day, 3:17:02, Finish: 2024-11-24 11:34 [11-24 00:17:34] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.733 (6.749), Lt: 6.027 (6.046), Acc m&t: 2.77 4.35, Remain: 1 day, 3:17:44, Finish: 2024-11-24 11:35 [11-24 00:17:34] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.733 (6.749), Lt: 6.027 (6.046), Acc m&t: 2.77 4.35, Remain: 1 day, 3:17:26, Finish: 2024-11-24 11:35 [11-24 00:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:43 tlr: 0.00012 tnm: 0.43 Lm: 6.726 (6.726) Lt: 6.055 (6.055) Accm: 2.65 (2.65) Acct: 4.17 (4.17) proj_loss: -0.6039 (-0.6039) time: 0.3495 data: 0.0004 [11-24 00:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:44 tlr: 0.00012 tnm: 0.43 Lm: 6.820 (6.820) Lt: 6.177 (6.177) Accm: 2.45 (2.45) Acct: 3.75 (3.75) proj_loss: -0.6096 (-0.6096) time: 0.3501 data: 0.0004 [11-24 00:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:43 tlr: 0.00012 tnm: 0.43 Lm: 6.900 (6.900) Lt: 6.271 (6.271) Accm: 2.20 (2.20) Acct: 3.20 (3.20) proj_loss: -0.6063 (-0.6063) time: 0.3493 data: 0.0003 [11-24 00:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:44 tlr: 0.00012 tnm: 0.43 Lm: 6.542 (6.542) Lt: 5.796 (5.796) Accm: 3.35 (3.35) Acct: 5.32 (5.32) proj_loss: -0.6056 (-0.6056) time: 0.3503 data: 0.0004 [11-24 00:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.43 Lm: 6.622 (6.622) Lt: 5.907 (5.907) Accm: 3.09 (3.09) Acct: 4.73 (4.73) proj_loss: -0.6051 (-0.6051) time: 0.3598 data: 0.0003 [11-24 00:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.43 Lm: 6.843 (6.843) Lt: 6.159 (6.159) Accm: 2.44 (2.44) Acct: 3.89 (3.89) proj_loss: -0.5911 (-0.5911) time: 0.3598 data: 0.0003 [11-24 00:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.43 Lm: 6.793 (6.793) Lt: 6.131 (6.131) Accm: 2.71 (2.71) Acct: 4.15 (4.15) proj_loss: -0.6033 (-0.6033) time: 0.3598 data: 0.0002 [11-24 00:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.43 Lm: 6.845 (6.845) Lt: 6.167 (6.167) Accm: 2.34 (2.34) Acct: 3.50 (3.50) proj_loss: -0.6064 (-0.6064) time: 0.3598 data: 0.0003 [11-24 00:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.44 Lm: 6.790 (6.791) Lt: 6.064 (6.101) Accm: 2.48 (2.52) Acct: 3.81 (3.89) proj_loss: -0.6066 (-0.6076) time: 0.3675 data: 0.0003 [11-24 00:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.44 Lm: 6.820 (6.807) Lt: 6.167 (6.143) Accm: 2.45 (2.58) Acct: 3.79 (4.03) proj_loss: -0.5970 (-0.5985) time: 0.3675 data: 0.0002 [11-24 00:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.44 Lm: 6.701 (6.682) Lt: 6.018 (5.967) Accm: 2.83 (2.86) Acct: 4.13 (4.38) proj_loss: -0.6046 (-0.5941) time: 0.3675 data: 0.0003 [11-24 00:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.44 Lm: 6.799 (6.828) Lt: 6.067 (6.129) Accm: 2.65 (2.63) Acct: 4.17 (4.26) proj_loss: -0.5894 (-0.5906) time: 0.3675 data: 0.0003 [11-24 00:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.845 (6.844) Lt: 6.113 (6.136) Accm: 2.48 (2.55) Acct: 3.93 (4.12) proj_loss: -0.5965 (-0.5938) time: 0.3632 data: 0.0003 [11-24 00:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.819 (6.806) Lt: 6.125 (6.122) Accm: 2.39 (2.47) Acct: 3.67 (3.80) proj_loss: -0.6064 (-0.6036) time: 0.3632 data: 0.0002 [11-24 00:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.710 (6.691) Lt: 6.013 (5.977) Accm: 2.96 (2.92) Acct: 4.48 (4.49) proj_loss: -0.5977 (-0.5933) time: 0.3632 data: 0.0002 [11-24 00:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.41 Lm: 6.815 (6.808) Lt: 6.138 (6.135) Accm: 2.49 (2.57) Acct: 3.81 (3.98) proj_loss: -0.5930 (-0.5947) time: 0.3632 data: 0.0002 [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.45 Lm: 6.811 (6.779) Lt: 6.110 (6.100) Accm: 2.53 (2.67) Acct: 3.84 (4.11) proj_loss: -0.5969 (-0.5952) time: 0.4111 data: 0.0017 [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.45 Lm: 6.827 (6.840) Lt: 6.139 (6.137) Accm: 2.65 (2.58) Acct: 4.17 (4.17) proj_loss: -0.5894 (-0.5927) time: 0.4111 data: 0.0020 [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.45 Lm: 6.719 (6.707) Lt: 6.018 (6.002) Accm: 3.09 (2.96) Acct: 4.82 (4.59) proj_loss: -0.6018 (-0.5950) time: 0.4110 data: 0.0018 [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.45 Lm: 6.833 (6.811) Lt: 6.172 (6.132) Accm: 2.48 (2.50) Acct: 3.81 (3.89) proj_loss: -0.6066 (-0.6105) time: 0.4111 data: 0.0019 [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:29:56] (home/user/VAR/trainer.py, line 114)=> FID: 4.216436580233051 [11-24 00:29:57] (/home/user/VAR/train.py , line 259)=> [*] [ep189] (val 50000) Lm: 6.7422, Lt: 6.0429, Acc m&t: 2.77 4.32, Val cost: 134.25s [11-24 00:29:57] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 00:30:10] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 3:14:43, Finish: 2024-11-24 11:42 [11-24 00:30:10] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 3:13:58, Finish: 2024-11-24 11:41 [11-24 00:30:10] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 3:12:36, Finish: 2024-11-24 11:40 [11-24 00:30:10] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 3:13:27, Finish: 2024-11-24 11:41 [11-24 00:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:09:58 tlr: 0.00012 tnm: 0.42 Lm: 6.626 (6.626) Lt: 5.907 (5.907) Accm: 2.75 (2.75) Acct: 4.05 (4.05) proj_loss: -0.6036 (-0.6036) time: 0.3586 data: 0.0003 [11-24 00:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:09:57 tlr: 0.00012 tnm: 0.42 Lm: 6.715 (6.715) Lt: 6.023 (6.023) Accm: 2.60 (2.60) Acct: 4.18 (4.18) proj_loss: -0.6127 (-0.6127) time: 0.3582 data: 0.0004 [11-24 00:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:09:58 tlr: 0.00012 tnm: 0.42 Lm: 6.673 (6.673) Lt: 5.916 (5.916) Accm: 2.78 (2.78) Acct: 4.51 (4.51) proj_loss: -0.5776 (-0.5776) time: 0.3588 data: 0.0003 [11-24 00:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:09:57 tlr: 0.00012 tnm: 0.42 Lm: 6.816 (6.816) Lt: 6.090 (6.090) Accm: 2.48 (2.48) Acct: 3.91 (3.91) proj_loss: -0.5967 (-0.5967) time: 0.3579 data: 0.0004 [11-24 00:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:46 tlr: 0.00012 tnm: 0.43 Lm: 6.833 (6.833) Lt: 6.098 (6.098) Accm: 2.61 (2.61) Acct: 4.21 (4.21) proj_loss: -0.5977 (-0.5977) time: 0.3627 data: 0.0003 [11-24 00:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:46 tlr: 0.00012 tnm: 0.43 Lm: 6.710 (6.710) Lt: 6.028 (6.028) Accm: 2.67 (2.67) Acct: 4.22 (4.22) proj_loss: -0.6106 (-0.6106) time: 0.3627 data: 0.0003 [11-24 00:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:46 tlr: 0.00012 tnm: 0.43 Lm: 6.634 (6.634) Lt: 5.899 (5.899) Accm: 3.02 (3.02) Acct: 4.67 (4.67) proj_loss: -0.5980 (-0.5980) time: 0.3627 data: 0.0003 [11-24 00:32:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:46 tlr: 0.00012 tnm: 0.43 Lm: 6.716 (6.716) Lt: 5.982 (5.982) Accm: 2.76 (2.76) Acct: 4.40 (4.40) proj_loss: -0.5884 (-0.5884) time: 0.3627 data: 0.0003 [11-24 00:35:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.44 Lm: 6.759 (6.764) Lt: 6.048 (6.051) Accm: 2.74 (2.62) Acct: 4.29 (4.12) proj_loss: -0.5941 (-0.5903) time: 0.4061 data: 0.0003 [11-24 00:35:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.44 Lm: 6.715 (6.747) Lt: 6.033 (6.072) Accm: 2.60 (2.63) Acct: 4.18 (4.18) proj_loss: -0.6085 (-0.6071) time: 0.4061 data: 0.0003 [11-24 00:35:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.44 Lm: 6.816 (6.816) Lt: 6.090 (6.082) Accm: 2.48 (2.54) Acct: 4.01 (4.14) proj_loss: -0.5967 (-0.5960) time: 0.4061 data: 0.0003 [11-24 00:35:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.44 Lm: 6.641 (6.709) Lt: 5.907 (5.995) Accm: 2.75 (2.86) Acct: 4.05 (4.42) proj_loss: -0.5925 (-0.5930) time: 0.4061 data: 0.0003 [11-24 00:38:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.42 Lm: 6.710 (6.726) Lt: 6.014 (6.026) Accm: 2.65 (2.74) Acct: 3.99 (4.21) proj_loss: -0.5980 (-0.5967) time: 0.4083 data: 0.0003 [11-24 00:38:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.42 Lm: 6.810 (6.813) Lt: 6.093 (6.085) Accm: 2.59 (2.58) Acct: 4.17 (4.19) proj_loss: -0.5947 (-0.5938) time: 0.4083 data: 0.0003 [11-24 00:38:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.42 Lm: 6.710 (6.720) Lt: 6.028 (6.044) Accm: 2.67 (2.76) Acct: 4.22 (4.39) proj_loss: -0.6088 (-0.6076) time: 0.4083 data: 0.0003 [11-24 00:38:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.42 Lm: 6.740 (6.753) Lt: 6.052 (6.053) Accm: 2.76 (2.66) Acct: 4.39 (4.21) proj_loss: -0.5967 (-0.5974) time: 0.4084 data: 0.0003 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.720 (6.725) Lt: 6.048 (6.013) Accm: 2.78 (2.75) Acct: 4.49 (4.39) proj_loss: -0.5992 (-0.5982) time: 0.3635 data: 0.0018 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.715 (6.724) Lt: 5.946 (6.010) Accm: 2.75 (2.78) Acct: 4.05 (4.34) proj_loss: -0.5925 (-0.5958) time: 0.3635 data: 0.0019 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.705 (6.714) Lt: 6.023 (6.029) Accm: 2.75 (2.76) Acct: 4.25 (4.39) proj_loss: -0.6085 (-0.6027) time: 0.3635 data: 0.0020 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.804 (6.804) Lt: 6.095 (6.088) Accm: 2.66 (2.60) Acct: 4.20 (4.19) proj_loss: -0.5927 (-0.5932) time: 0.3635 data: 0.0020 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:32 (0.379 s / it) [11-24 00:40:43] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.036), Acc m&t: 2.77 4.35, Remain: 1 day, 2:50:51, Finish: 2024-11-24 11:31 [11-24 00:40:43] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.036), Acc m&t: 2.77 4.35, Remain: 1 day, 2:51:33, Finish: 2024-11-24 11:32 [11-24 00:40:43] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.036), Acc m&t: 2.77 4.35, Remain: 1 day, 2:52:28, Finish: 2024-11-24 11:33 [11-24 00:40:43] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.036), Acc m&t: 2.77 4.35, Remain: 1 day, 2:53:14, Finish: 2024-11-24 11:33 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:09:39 tlr: 0.00012 tnm: 0.40 Lm: 6.866 (6.866) Lt: 6.169 (6.169) Accm: 2.41 (2.41) Acct: 3.87 (3.87) proj_loss: -0.5856 (-0.5856) time: 0.3471 data: 0.0004 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:09:37 tlr: 0.00012 tnm: 0.40 Lm: 6.597 (6.597) Lt: 5.816 (5.816) Accm: 3.22 (3.22) Acct: 5.01 (5.01) proj_loss: -0.6071 (-0.6071) time: 0.3459 data: 0.0004 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:09:38 tlr: 0.00012 tnm: 0.40 Lm: 6.790 (6.790) Lt: 6.069 (6.069) Accm: 2.52 (2.52) Acct: 3.99 (3.99) proj_loss: -0.6006 (-0.6006) time: 0.3464 data: 0.0004 [11-24 00:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:09:37 tlr: 0.00012 tnm: 0.40 Lm: 6.541 (6.541) Lt: 5.814 (5.814) Accm: 3.29 (3.29) Acct: 5.08 (5.08) proj_loss: -0.6009 (-0.6009) time: 0.3461 data: 0.0003 [11-24 00:43:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:38 tlr: 0.00012 tnm: 0.41 Lm: 6.657 (6.657) Lt: 5.965 (5.965) Accm: 2.95 (2.95) Acct: 4.59 (4.59) proj_loss: -0.5980 (-0.5980) time: 0.3647 data: 0.0003 [11-24 00:43:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:38 tlr: 0.00012 tnm: 0.41 Lm: 6.669 (6.669) Lt: 5.906 (5.906) Accm: 3.01 (3.01) Acct: 4.72 (4.72) proj_loss: -0.5982 (-0.5982) time: 0.3647 data: 0.0003 [11-24 00:43:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:38 tlr: 0.00012 tnm: 0.41 Lm: 6.769 (6.769) Lt: 6.056 (6.056) Accm: 2.73 (2.73) Acct: 4.26 (4.26) proj_loss: -0.5961 (-0.5961) time: 0.3646 data: 0.0002 [11-24 00:43:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:38 tlr: 0.00012 tnm: 0.41 Lm: 6.794 (6.794) Lt: 6.105 (6.105) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5908 (-0.5908) time: 0.3647 data: 0.0003 [11-24 00:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.46 Lm: 6.819 (6.803) Lt: 6.127 (6.112) Accm: 2.56 (2.59) Acct: 4.01 (4.00) proj_loss: -0.5856 (-0.5876) time: 0.3647 data: 0.0003 [11-24 00:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.46 Lm: 6.742 (6.700) Lt: 5.996 (5.974) Accm: 2.80 (2.75) Acct: 4.42 (4.23) proj_loss: -0.5893 (-0.5943) time: 0.3647 data: 0.0003 [11-24 00:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.46 Lm: 6.772 (6.700) Lt: 6.066 (5.999) Accm: 2.78 (2.89) Acct: 4.20 (4.46) proj_loss: -0.5951 (-0.5907) time: 0.3647 data: 0.0002 [11-24 00:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.46 Lm: 6.749 (6.723) Lt: 6.044 (6.017) Accm: 2.94 (2.80) Acct: 4.30 (4.28) proj_loss: -0.5959 (-0.5960) time: 0.3647 data: 0.0003 [11-24 00:48:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.756 (6.733) Lt: 6.054 (6.029) Accm: 2.73 (2.72) Acct: 4.15 (4.17) proj_loss: -0.5937 (-0.5886) time: 0.3636 data: 0.0003 [11-24 00:48:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.779 (6.739) Lt: 6.091 (6.041) Accm: 2.69 (2.75) Acct: 4.15 (4.24) proj_loss: -0.5918 (-0.5901) time: 0.3635 data: 0.0002 [11-24 00:48:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.795 (6.795) Lt: 6.128 (6.116) Accm: 2.53 (2.56) Acct: 4.04 (4.02) proj_loss: -0.5902 (-0.5894) time: 0.3635 data: 0.0003 [11-24 00:48:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.736 (6.708) Lt: 6.017 (5.990) Accm: 2.79 (2.76) Acct: 4.30 (4.22) proj_loss: -0.5879 (-0.5900) time: 0.3635 data: 0.0002 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.730 (6.688) Lt: 5.996 (5.968) Accm: 2.80 (2.83) Acct: 4.42 (4.31) proj_loss: -0.5893 (-0.5904) time: 0.3657 data: 0.0018 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.771 (6.764) Lt: 6.127 (6.073) Accm: 2.56 (2.66) Acct: 4.06 (4.21) proj_loss: -0.5948 (-0.5922) time: 0.3658 data: 0.0018 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.764 (6.746) Lt: 6.064 (6.039) Accm: 2.52 (2.67) Acct: 3.99 (4.08) proj_loss: -0.5959 (-0.5912) time: 0.3657 data: 0.0017 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.772 (6.716) Lt: 6.066 (6.018) Accm: 2.78 (2.85) Acct: 4.20 (4.39) proj_loss: -0.5951 (-0.5922) time: 0.3657 data: 0.0019 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:07 (0.364 s / it) [11-24 00:50:50] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.733 (6.741), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 2:55:39, Finish: 2024-11-24 11:46 [11-24 00:50:50] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.733 (6.741), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 2:56:15, Finish: 2024-11-24 11:47 [11-24 00:50:50] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.733 (6.741), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 2:56:33, Finish: 2024-11-24 11:47 [11-24 00:50:50] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.733 (6.741), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 2:57:28, Finish: 2024-11-24 11:48 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:48 tlr: 0.00012 tnm: 0.42 Lm: 6.768 (6.768) Lt: 6.040 (6.040) Accm: 2.62 (2.62) Acct: 4.01 (4.01) proj_loss: -0.5883 (-0.5883) time: 0.3524 data: 0.0003 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:40 tlr: 0.00012 tnm: 0.42 Lm: 6.875 (6.875) Lt: 6.179 (6.179) Accm: 2.38 (2.38) Acct: 3.77 (3.77) proj_loss: -0.5939 (-0.5939) time: 0.3477 data: 0.0003 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:48 tlr: 0.00012 tnm: 0.42 Lm: 6.779 (6.779) Lt: 6.117 (6.117) Accm: 2.70 (2.70) Acct: 4.05 (4.05) proj_loss: -0.5955 (-0.5955) time: 0.3524 data: 0.0003 [11-24 00:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:39 tlr: 0.00012 tnm: 0.42 Lm: 6.669 (6.669) Lt: 5.993 (5.993) Accm: 2.87 (2.87) Acct: 4.20 (4.20) proj_loss: -0.5975 (-0.5975) time: 0.3473 data: 0.0004 [11-24 00:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.43 Lm: 6.667 (6.667) Lt: 5.958 (5.958) Accm: 2.97 (2.97) Acct: 4.50 (4.50) proj_loss: -0.6008 (-0.6008) time: 0.3602 data: 0.0002 [11-24 00:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.43 Lm: 6.734 (6.734) Lt: 6.031 (6.031) Accm: 2.71 (2.71) Acct: 4.12 (4.12) proj_loss: -0.5907 (-0.5907) time: 0.3602 data: 0.0003 [11-24 00:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.43 Lm: 6.752 (6.752) Lt: 6.064 (6.064) Accm: 2.77 (2.77) Acct: 4.21 (4.21) proj_loss: -0.5933 (-0.5933) time: 0.3602 data: 0.0002 [11-24 00:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:34 tlr: 0.00012 tnm: 0.43 Lm: 6.819 (6.819) Lt: 6.161 (6.161) Accm: 2.52 (2.52) Acct: 3.84 (3.84) proj_loss: -0.6020 (-0.6020) time: 0.3602 data: 0.0002 [11-24 00:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.779 (6.757) Lt: 6.117 (6.099) Accm: 2.70 (2.67) Acct: 4.05 (4.08) proj_loss: -0.6085 (-0.6061) time: 0.3623 data: 0.0002 [11-24 00:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.700 (6.721) Lt: 6.023 (6.024) Accm: 2.79 (2.74) Acct: 4.12 (4.12) proj_loss: -0.5931 (-0.5973) time: 0.3623 data: 0.0003 [11-24 00:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.669 (6.673) Lt: 5.993 (5.970) Accm: 2.87 (2.82) Acct: 4.20 (4.33) proj_loss: -0.6040 (-0.6046) time: 0.3623 data: 0.0003 [11-24 00:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.671 (6.725) Lt: 5.960 (6.029) Accm: 3.11 (2.88) Acct: 4.65 (4.39) proj_loss: -0.5939 (-0.5965) time: 0.3623 data: 0.0002 [11-24 00:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.43 Lm: 6.712 (6.721) Lt: 6.017 (6.021) Accm: 2.80 (2.77) Acct: 4.18 (4.21) proj_loss: -0.5907 (-0.5948) time: 0.3628 data: 0.0003 [11-24 00:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.43 Lm: 6.751 (6.749) Lt: 6.066 (6.078) Accm: 2.77 (2.72) Acct: 4.11 (4.10) proj_loss: -0.6020 (-0.6027) time: 0.3628 data: 0.0003 [11-24 00:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.43 Lm: 6.673 (6.674) Lt: 5.992 (5.975) Accm: 2.91 (2.85) Acct: 4.36 (4.38) proj_loss: -0.6008 (-0.6029) time: 0.3628 data: 0.0003 [11-24 00:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.43 Lm: 6.704 (6.728) Lt: 5.983 (6.024) Accm: 2.91 (2.84) Acct: 4.58 (4.42) proj_loss: -0.5960 (-0.5969) time: 0.3628 data: 0.0003 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.691 (6.721) Lt: 5.995 (6.018) Accm: 3.11 (2.90) Acct: 4.65 (4.51) proj_loss: -0.5980 (-0.5978) time: 0.3635 data: 0.0016 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.723 (6.733) Lt: 6.023 (6.032) Accm: 2.79 (2.73) Acct: 4.24 (4.24) proj_loss: -0.5884 (-0.5935) time: 0.3635 data: 0.0019 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.723 (6.739) Lt: 6.015 (6.065) Accm: 2.70 (2.70) Acct: 4.17 (4.12) proj_loss: -0.5969 (-0.6015) time: 0.3635 data: 0.0018 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.669 (6.656) Lt: 5.991 (5.942) Accm: 2.96 (2.89) Acct: 4.53 (4.50) proj_loss: -0.5977 (-0.5995) time: 0.3635 data: 0.0014 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:00:57] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.050), Acc m&t: 2.77 4.35, Remain: 1 day, 2:37:13, Finish: 2024-11-24 11:38 [11-24 01:00:57] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.050), Acc m&t: 2.77 4.35, Remain: 1 day, 2:35:36, Finish: 2024-11-24 11:36 [11-24 01:00:57] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.050), Acc m&t: 2.77 4.35, Remain: 1 day, 2:35:35, Finish: 2024-11-24 11:36 [11-24 01:00:57] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.050), Acc m&t: 2.77 4.35, Remain: 1 day, 2:36:07, Finish: 2024-11-24 11:37 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:10:32 tlr: 0.00012 tnm: 0.41 Lm: 6.851 (6.851) Lt: 6.154 (6.154) Accm: 2.50 (2.50) Acct: 3.67 (3.67) proj_loss: -0.5841 (-0.5841) time: 0.3788 data: 0.0004 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:10:35 tlr: 0.00012 tnm: 0.41 Lm: 6.609 (6.609) Lt: 5.857 (5.857) Accm: 3.23 (3.23) Acct: 5.13 (5.13) proj_loss: -0.5907 (-0.5907) time: 0.3810 data: 0.0004 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:10:36 tlr: 0.00012 tnm: 0.41 Lm: 6.866 (6.866) Lt: 6.215 (6.215) Accm: 2.37 (2.37) Acct: 3.70 (3.70) proj_loss: -0.6023 (-0.6023) time: 0.3816 data: 0.0003 [11-24 01:00:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:10:38 tlr: 0.00012 tnm: 0.41 Lm: 6.873 (6.873) Lt: 6.135 (6.135) Accm: 2.65 (2.65) Acct: 4.27 (4.27) proj_loss: -0.5624 (-0.5624) time: 0.3826 data: 0.0004 [11-24 01:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:54 tlr: 0.00012 tnm: 0.41 Lm: 6.856 (6.856) Lt: 6.130 (6.130) Accm: 2.65 (2.65) Acct: 4.24 (4.24) proj_loss: -0.5840 (-0.5840) time: 0.3621 data: 0.0002 [11-24 01:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:54 tlr: 0.00012 tnm: 0.41 Lm: 6.776 (6.776) Lt: 6.077 (6.077) Accm: 2.58 (2.58) Acct: 4.05 (4.05) proj_loss: -0.6004 (-0.6004) time: 0.3620 data: 0.0002 [11-24 01:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:54 tlr: 0.00012 tnm: 0.41 Lm: 6.668 (6.668) Lt: 5.915 (5.915) Accm: 3.18 (3.18) Acct: 5.05 (5.05) proj_loss: -0.5934 (-0.5934) time: 0.3621 data: 0.0003 [11-24 01:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:54 tlr: 0.00012 tnm: 0.41 Lm: 6.730 (6.730) Lt: 6.028 (6.028) Accm: 2.90 (2.90) Acct: 4.34 (4.34) proj_loss: -0.5953 (-0.5953) time: 0.3621 data: 0.0003 [11-24 01:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.43 Lm: 6.782 (6.747) Lt: 6.112 (6.056) Accm: 2.78 (2.86) Acct: 4.56 (4.41) proj_loss: -0.6042 (-0.5983) time: 0.3635 data: 0.0003 [11-24 01:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.43 Lm: 6.840 (6.797) Lt: 6.158 (6.104) Accm: 2.49 (2.55) Acct: 4.01 (4.03) proj_loss: -0.5985 (-0.5950) time: 0.3635 data: 0.0002 [11-24 01:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.43 Lm: 6.727 (6.753) Lt: 5.972 (6.039) Accm: 3.13 (2.86) Acct: 4.98 (4.51) proj_loss: -0.5907 (-0.5886) time: 0.3635 data: 0.0003 [11-24 01:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.43 Lm: 6.873 (6.891) Lt: 6.135 (6.192) Accm: 2.65 (2.61) Acct: 4.20 (4.16) proj_loss: -0.6055 (-0.5977) time: 0.3635 data: 0.0003 [11-24 01:08:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.45 Lm: 6.856 (6.840) Lt: 6.130 (6.126) Accm: 2.65 (2.69) Acct: 4.24 (4.29) proj_loss: -0.5936 (-0.5937) time: 0.4065 data: 0.0003 [11-24 01:08:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.45 Lm: 6.689 (6.728) Lt: 5.983 (6.028) Accm: 3.06 (2.89) Acct: 4.88 (4.58) proj_loss: -0.5934 (-0.5927) time: 0.4065 data: 0.0003 [11-24 01:08:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.45 Lm: 6.718 (6.724) Lt: 6.022 (6.025) Accm: 2.99 (2.94) Acct: 4.77 (4.55) proj_loss: -0.6004 (-0.5979) time: 0.4065 data: 0.0003 [11-24 01:08:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:39 tlr: 0.00012 tnm: 0.45 Lm: 6.763 (6.750) Lt: 6.049 (6.036) Accm: 2.63 (2.67) Acct: 4.20 (4.26) proj_loss: -0.5958 (-0.5945) time: 0.4065 data: 0.0003 [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.782 (6.756) Lt: 6.084 (6.046) Accm: 2.76 (2.69) Acct: 4.27 (4.26) proj_loss: -0.5930 (-0.5940) time: 0.3641 data: 0.0017 [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:31 (0.378 s / it) [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.727 (6.734) Lt: 5.995 (6.034) Accm: 3.00 (2.85) Acct: 4.79 (4.52) proj_loss: -0.5907 (-0.5909) time: 0.3641 data: 0.0016 [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.873 (6.853) Lt: 6.135 (6.155) Accm: 2.65 (2.67) Acct: 4.20 (4.22) proj_loss: -0.5897 (-0.5929) time: 0.3641 data: 0.0018 [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.776 (6.734) Lt: 6.112 (6.046) Accm: 2.78 (2.84) Acct: 4.56 (4.38) proj_loss: -0.6042 (-0.6015) time: 0.3641 data: 0.0016 [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:31 (0.378 s / it) [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:31 (0.378 s / it) [11-24 01:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:31 (0.378 s / it) [11-24 01:11:28] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:30:28, Finish: 2024-11-24 11:41 [11-24 01:11:28] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:30:45, Finish: 2024-11-24 11:42 [11-24 01:11:28] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:30:35, Finish: 2024-11-24 11:42 [11-24 01:11:28] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.733 (6.748), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:30:27, Finish: 2024-11-24 11:41 [11-24 01:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:36 tlr: 0.00012 tnm: 0.43 Lm: 6.717 (6.717) Lt: 5.999 (5.999) Accm: 2.88 (2.88) Acct: 4.53 (4.53) proj_loss: -0.6086 (-0.6086) time: 0.3456 data: 0.0004 [11-24 01:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:37 tlr: 0.00012 tnm: 0.43 Lm: 6.744 (6.744) Lt: 6.067 (6.067) Accm: 2.66 (2.66) Acct: 3.94 (3.94) proj_loss: -0.6039 (-0.6039) time: 0.3457 data: 0.0004 [11-24 01:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:37 tlr: 0.00012 tnm: 0.43 Lm: 6.631 (6.631) Lt: 5.875 (5.875) Accm: 2.93 (2.93) Acct: 4.94 (4.94) proj_loss: -0.6160 (-0.6160) time: 0.3461 data: 0.0003 [11-24 01:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:37 tlr: 0.00012 tnm: 0.43 Lm: 6.677 (6.677) Lt: 6.000 (6.000) Accm: 3.03 (3.03) Acct: 4.61 (4.61) proj_loss: -0.5971 (-0.5971) time: 0.3459 data: 0.0003 [11-24 01:14:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.45 Lm: 6.751 (6.751) Lt: 6.070 (6.070) Accm: 2.64 (2.64) Acct: 4.11 (4.11) proj_loss: -0.6003 (-0.6003) time: 0.3652 data: 0.0004 [11-24 01:14:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.45 Lm: 6.707 (6.707) Lt: 5.995 (5.995) Accm: 3.00 (3.00) Acct: 4.67 (4.67) proj_loss: -0.5977 (-0.5977) time: 0.3652 data: 0.0003 [11-24 01:14:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.45 Lm: 6.800 (6.800) Lt: 6.094 (6.094) Accm: 2.62 (2.62) Acct: 4.03 (4.03) proj_loss: -0.5924 (-0.5924) time: 0.3652 data: 0.0003 [11-24 01:14:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:37 tlr: 0.00012 tnm: 0.45 Lm: 6.732 (6.732) Lt: 6.001 (6.001) Accm: 2.79 (2.79) Acct: 4.50 (4.50) proj_loss: -0.6011 (-0.6011) time: 0.3653 data: 0.0003 [11-24 01:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.44 Lm: 6.833 (6.774) Lt: 6.127 (6.058) Accm: 2.66 (2.66) Acct: 4.06 (4.26) proj_loss: -0.5896 (-0.5973) time: 0.3638 data: 0.0003 [11-24 01:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.44 Lm: 6.670 (6.680) Lt: 5.922 (5.960) Accm: 2.94 (2.98) Acct: 4.75 (4.70) proj_loss: -0.5915 (-0.5923) time: 0.3638 data: 0.0002 [11-24 01:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.44 Lm: 6.717 (6.764) Lt: 5.999 (6.062) Accm: 2.88 (2.76) Acct: 4.53 (4.23) proj_loss: -0.5926 (-0.5925) time: 0.3638 data: 0.0003 [11-24 01:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.44 Lm: 6.818 (6.773) Lt: 6.066 (6.069) Accm: 2.46 (2.58) Acct: 3.81 (4.01) proj_loss: -0.5971 (-0.5959) time: 0.3638 data: 0.0003 [11-24 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.821 (6.802) Lt: 6.103 (6.104) Accm: 2.38 (2.51) Acct: 3.70 (3.90) proj_loss: -0.5927 (-0.5940) time: 0.3624 data: 0.0003 [11-24 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.707 (6.717) Lt: 5.995 (6.000) Accm: 2.80 (2.90) Acct: 4.35 (4.48) proj_loss: -0.5865 (-0.5895) time: 0.3624 data: 0.0003 [11-24 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.728 (6.758) Lt: 6.013 (6.053) Accm: 2.84 (2.77) Acct: 4.55 (4.32) proj_loss: -0.5888 (-0.5906) time: 0.3624 data: 0.0003 [11-24 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.45 Lm: 6.732 (6.720) Lt: 6.001 (6.007) Accm: 2.79 (2.84) Acct: 4.50 (4.50) proj_loss: -0.5915 (-0.5963) time: 0.3625 data: 0.0003 [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.790 (6.734) Lt: 6.101 (6.026) Accm: 2.78 (2.82) Acct: 4.44 (4.49) proj_loss: -0.5934 (-0.5960) time: 0.3666 data: 0.0019 [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:06 (0.364 s / it) [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.744 (6.723) Lt: 6.038 (6.008) Accm: 2.66 (2.81) Acct: 3.94 (4.31) proj_loss: -0.5915 (-0.5939) time: 0.3666 data: 0.0017 [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.739 (6.754) Lt: 6.027 (6.050) Accm: 2.88 (2.80) Acct: 4.58 (4.37) proj_loss: -0.5851 (-0.5885) time: 0.3666 data: 0.0015 [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.818 (6.804) Lt: 6.136 (6.111) Accm: 2.46 (2.53) Acct: 3.81 (3.96) proj_loss: -0.5921 (-0.5936) time: 0.3666 data: 0.0019 [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:06 (0.364 s / it) [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:06 (0.364 s / it) [11-24 01:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:06 (0.364 s / it) [11-24 01:21:35] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.733 (6.751), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:17:32, Finish: 2024-11-24 11:39 [11-24 01:21:35] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.733 (6.751), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:16:35, Finish: 2024-11-24 11:38 [11-24 01:21:35] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.733 (6.751), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:17:38, Finish: 2024-11-24 11:39 [11-24 01:21:35] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.733 (6.751), Lt: 6.027 (6.048), Acc m&t: 2.77 4.35, Remain: 1 day, 2:18:38, Finish: 2024-11-24 11:40 [11-24 01:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:09:44 tlr: 0.00012 tnm: 0.43 Lm: 6.649 (6.649) Lt: 5.905 (5.905) Accm: 3.00 (3.00) Acct: 4.89 (4.89) proj_loss: -0.5983 (-0.5983) time: 0.3501 data: 0.0004 [11-24 01:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:09:48 tlr: 0.00012 tnm: 0.43 Lm: 6.658 (6.658) Lt: 5.900 (5.900) Accm: 2.98 (2.98) Acct: 4.65 (4.65) proj_loss: -0.5814 (-0.5814) time: 0.3525 data: 0.0004 [11-24 01:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:09:46 tlr: 0.00012 tnm: 0.43 Lm: 6.861 (6.861) Lt: 6.180 (6.180) Accm: 2.31 (2.31) Acct: 3.62 (3.62) proj_loss: -0.5955 (-0.5955) time: 0.3516 data: 0.0004 [11-24 01:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:09:48 tlr: 0.00012 tnm: 0.43 Lm: 6.832 (6.832) Lt: 6.173 (6.173) Accm: 2.65 (2.65) Acct: 4.24 (4.24) proj_loss: -0.6216 (-0.6216) time: 0.3528 data: 0.0003 [11-24 01:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.45 Lm: 6.682 (6.682) Lt: 5.982 (5.982) Accm: 3.20 (3.20) Acct: 5.11 (5.11) proj_loss: -0.6099 (-0.6099) time: 0.3625 data: 0.0003 [11-24 01:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.45 Lm: 6.650 (6.650) Lt: 5.913 (5.913) Accm: 3.05 (3.05) Acct: 5.00 (5.00) proj_loss: -0.5931 (-0.5931) time: 0.3625 data: 0.0002 [11-24 01:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.45 Lm: 6.809 (6.809) Lt: 6.129 (6.129) Accm: 2.46 (2.46) Acct: 3.82 (3.82) proj_loss: -0.6053 (-0.6053) time: 0.3625 data: 0.0003 [11-24 01:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:33 tlr: 0.00012 tnm: 0.45 Lm: 6.675 (6.675) Lt: 5.935 (5.935) Accm: 2.78 (2.78) Acct: 4.38 (4.38) proj_loss: -0.5852 (-0.5852) time: 0.3625 data: 0.0003 [11-24 01:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.692 (6.724) Lt: 5.971 (6.001) Accm: 2.57 (2.63) Acct: 4.12 (4.14) proj_loss: -0.5814 (-0.5786) time: 0.3649 data: 0.0003 [11-24 01:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.652 (6.664) Lt: 5.921 (5.917) Accm: 3.00 (3.01) Acct: 4.89 (4.88) proj_loss: -0.5880 (-0.5902) time: 0.3649 data: 0.0003 [11-24 01:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.758 (6.788) Lt: 6.079 (6.083) Accm: 2.61 (2.54) Acct: 4.03 (4.00) proj_loss: -0.5955 (-0.5958) time: 0.3649 data: 0.0003 [11-24 01:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:02 tlr: 0.00012 tnm: 0.43 Lm: 6.722 (6.695) Lt: 6.051 (6.005) Accm: 2.76 (3.05) Acct: 4.51 (4.91) proj_loss: -0.6089 (-0.6095) time: 0.3649 data: 0.0003 [11-24 01:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.777 (6.739) Lt: 6.112 (6.048) Accm: 2.71 (2.92) Acct: 4.37 (4.65) proj_loss: -0.6052 (-0.6076) time: 0.3630 data: 0.0003 [11-24 01:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.666 (6.668) Lt: 5.923 (5.927) Accm: 2.97 (2.97) Acct: 4.77 (4.79) proj_loss: -0.5931 (-0.5932) time: 0.3630 data: 0.0003 [11-24 01:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.752 (6.720) Lt: 6.034 (6.002) Accm: 2.66 (2.74) Acct: 4.19 (4.33) proj_loss: -0.5874 (-0.5917) time: 0.3630 data: 0.0003 [11-24 01:29:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.675 (6.680) Lt: 5.935 (5.963) Accm: 2.78 (2.81) Acct: 4.38 (4.44) proj_loss: -0.5852 (-0.5876) time: 0.3630 data: 0.0003 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.692 (6.687) Lt: 5.969 (5.964) Accm: 2.79 (2.81) Acct: 4.17 (4.38) proj_loss: -0.5814 (-0.5849) time: 0.3625 data: 0.0021 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.681 (6.681) Lt: 5.925 (5.946) Accm: 2.94 (2.92) Acct: 4.65 (4.71) proj_loss: -0.5929 (-0.5932) time: 0.3625 data: 0.0020 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.746 (6.722) Lt: 6.004 (6.002) Accm: 2.72 (2.75) Acct: 4.27 (4.32) proj_loss: -0.5944 (-0.5923) time: 0.3625 data: 0.0017 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.722 (6.721) Lt: 6.051 (6.018) Accm: 2.76 (2.92) Acct: 4.51 (4.70) proj_loss: -0.6057 (-0.6072) time: 0.3625 data: 0.0018 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:31:42] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.031), Acc m&t: 2.77 4.35, Remain: 1 day, 2:00:23, Finish: 2024-11-24 11:32 [11-24 01:31:42] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.031), Acc m&t: 2.77 4.35, Remain: 1 day, 2:00:23, Finish: 2024-11-24 11:32 [11-24 01:31:42] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.031), Acc m&t: 2.77 4.35, Remain: 1 day, 2:00:28, Finish: 2024-11-24 11:32 [11-24 01:31:42] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.031), Acc m&t: 2.77 4.35, Remain: 1 day, 2:00:44, Finish: 2024-11-24 11:32 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:09:53 tlr: 0.00011 tnm: 0.42 Lm: 6.792 (6.792) Lt: 6.090 (6.090) Accm: 2.78 (2.78) Acct: 4.49 (4.49) proj_loss: -0.5870 (-0.5870) time: 0.3557 data: 0.0003 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:09:54 tlr: 0.00011 tnm: 0.42 Lm: 6.754 (6.754) Lt: 6.040 (6.040) Accm: 2.73 (2.73) Acct: 4.42 (4.42) proj_loss: -0.6054 (-0.6054) time: 0.3563 data: 0.0004 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:09:54 tlr: 0.00011 tnm: 0.42 Lm: 6.773 (6.773) Lt: 6.041 (6.041) Accm: 2.77 (2.77) Acct: 4.41 (4.41) proj_loss: -0.5949 (-0.5949) time: 0.3562 data: 0.0004 [11-24 01:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:09:55 tlr: 0.00011 tnm: 0.42 Lm: 6.822 (6.822) Lt: 6.111 (6.111) Accm: 2.38 (2.38) Acct: 3.81 (3.81) proj_loss: -0.5769 (-0.5769) time: 0.3566 data: 0.0004 [11-24 01:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:52 tlr: 0.00011 tnm: 0.44 Lm: 6.866 (6.866) Lt: 6.155 (6.155) Accm: 2.43 (2.43) Acct: 3.87 (3.87) proj_loss: -0.5864 (-0.5864) time: 0.4068 data: 0.0003 [11-24 01:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:52 tlr: 0.00011 tnm: 0.44 Lm: 6.808 (6.808) Lt: 6.102 (6.102) Accm: 2.62 (2.62) Acct: 4.22 (4.22) proj_loss: -0.5912 (-0.5912) time: 0.4068 data: 0.0003 [11-24 01:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:52 tlr: 0.00011 tnm: 0.44 Lm: 6.753 (6.753) Lt: 6.049 (6.049) Accm: 2.72 (2.72) Acct: 4.32 (4.32) proj_loss: -0.6083 (-0.6083) time: 0.4068 data: 0.0002 [11-24 01:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:52 tlr: 0.00011 tnm: 0.44 Lm: 6.738 (6.738) Lt: 5.998 (5.998) Accm: 2.77 (2.77) Acct: 4.37 (4.37) proj_loss: -0.5981 (-0.5981) time: 0.4068 data: 0.0003 [11-24 01:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:19 tlr: 0.00011 tnm: 0.45 Lm: 6.702 (6.697) Lt: 5.955 (5.965) Accm: 2.78 (2.94) Acct: 4.41 (4.65) proj_loss: -0.5978 (-0.5980) time: 0.3625 data: 0.0004 [11-24 01:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:19 tlr: 0.00011 tnm: 0.45 Lm: 6.818 (6.812) Lt: 6.113 (6.113) Accm: 2.59 (2.61) Acct: 4.22 (4.22) proj_loss: -0.5870 (-0.5871) time: 0.3625 data: 0.0003 [11-24 01:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:19 tlr: 0.00011 tnm: 0.45 Lm: 6.822 (6.820) Lt: 6.111 (6.077) Accm: 2.48 (2.50) Acct: 3.93 (4.03) proj_loss: -0.5811 (-0.5846) time: 0.3625 data: 0.0003 [11-24 01:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:19 tlr: 0.00011 tnm: 0.45 Lm: 6.751 (6.729) Lt: 6.040 (6.008) Accm: 2.73 (2.81) Acct: 4.42 (4.44) proj_loss: -0.6054 (-0.5928) time: 0.3625 data: 0.0003 [11-24 01:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:40 tlr: 0.00011 tnm: 0.41 Lm: 6.738 (6.723) Lt: 5.998 (6.024) Accm: 2.77 (2.85) Acct: 4.37 (4.42) proj_loss: -0.5995 (-0.5989) time: 0.3654 data: 0.0003 [11-24 01:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:40 tlr: 0.00011 tnm: 0.41 Lm: 6.805 (6.775) Lt: 6.102 (6.068) Accm: 2.68 (2.71) Acct: 4.36 (4.34) proj_loss: -0.5834 (-0.5853) time: 0.3654 data: 0.0003 [11-24 01:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:40 tlr: 0.00011 tnm: 0.41 Lm: 6.774 (6.785) Lt: 6.016 (6.036) Accm: 2.56 (2.61) Acct: 4.15 (4.20) proj_loss: -0.5872 (-0.5868) time: 0.3654 data: 0.0003 [11-24 01:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:40 tlr: 0.00011 tnm: 0.41 Lm: 6.753 (6.764) Lt: 6.049 (6.048) Accm: 2.72 (2.74) Acct: 4.32 (4.33) proj_loss: -0.5917 (-0.5891) time: 0.3654 data: 0.0003 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.751 (6.742) Lt: 6.040 (6.025) Accm: 2.73 (2.80) Acct: 4.42 (4.38) proj_loss: -0.5789 (-0.5871) time: 0.4086 data: 0.0018 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:34 (0.380 s / it) [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.702 (6.694) Lt: 5.955 (5.978) Accm: 2.78 (2.89) Acct: 4.41 (4.55) proj_loss: -0.6012 (-0.6011) time: 0.4086 data: 0.0018 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.792 (6.740) Lt: 6.090 (6.029) Accm: 2.78 (2.78) Acct: 4.46 (4.36) proj_loss: -0.5819 (-0.5846) time: 0.4086 data: 0.0016 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.726 (6.763) Lt: 6.007 (6.030) Accm: 2.64 (2.67) Acct: 4.37 (4.30) proj_loss: -0.5932 (-0.5892) time: 0.4086 data: 0.0020 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:34 (0.380 s / it) [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:34 (0.380 s / it) [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:34 (0.380 s / it) [11-24 01:42:16] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.035), Acc m&t: 2.77 4.35, Remain: 1 day, 1:57:32, Finish: 2024-11-24 11:39 [11-24 01:42:16] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.035), Acc m&t: 2.77 4.35, Remain: 1 day, 1:56:41, Finish: 2024-11-24 11:38 [11-24 01:42:16] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.035), Acc m&t: 2.77 4.35, Remain: 1 day, 1:56:56, Finish: 2024-11-24 11:39 [11-24 01:42:16] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.035), Acc m&t: 2.77 4.35, Remain: 1 day, 1:57:21, Finish: 2024-11-24 11:39 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:38 tlr: 0.00011 tnm: 0.44 Lm: 6.801 (6.801) Lt: 6.124 (6.124) Accm: 2.68 (2.68) Acct: 3.99 (3.99) proj_loss: -0.5669 (-0.5669) time: 0.3466 data: 0.0003 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:38 tlr: 0.00011 tnm: 0.44 Lm: 6.623 (6.623) Lt: 5.853 (5.853) Accm: 3.04 (3.04) Acct: 5.11 (5.11) proj_loss: -0.5901 (-0.5901) time: 0.3467 data: 0.0040 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:39 tlr: 0.00011 tnm: 0.44 Lm: 6.639 (6.639) Lt: 5.879 (5.879) Accm: 3.11 (3.11) Acct: 5.06 (5.06) proj_loss: -0.5839 (-0.5839) time: 0.3472 data: 0.0004 [11-24 01:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:39 tlr: 0.00011 tnm: 0.44 Lm: 6.694 (6.694) Lt: 5.964 (5.964) Accm: 2.78 (2.78) Acct: 4.44 (4.44) proj_loss: -0.5728 (-0.5728) time: 0.3469 data: 0.0004 [11-24 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.45 Lm: 6.735 (6.735) Lt: 6.032 (6.032) Accm: 2.59 (2.59) Acct: 4.08 (4.08) proj_loss: -0.5852 (-0.5852) time: 0.3622 data: 0.0003 [11-24 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.45 Lm: 6.730 (6.730) Lt: 6.028 (6.028) Accm: 2.75 (2.75) Acct: 4.33 (4.33) proj_loss: -0.6003 (-0.6003) time: 0.3622 data: 0.0003 [11-24 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.45 Lm: 6.742 (6.742) Lt: 6.020 (6.020) Accm: 2.84 (2.84) Acct: 4.46 (4.46) proj_loss: -0.5710 (-0.5710) time: 0.3622 data: 0.0003 [11-24 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.45 Lm: 6.763 (6.763) Lt: 6.081 (6.081) Accm: 2.65 (2.65) Acct: 4.15 (4.15) proj_loss: -0.5862 (-0.5862) time: 0.3622 data: 0.0003 [11-24 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.847 (6.791) Lt: 6.177 (6.113) Accm: 2.54 (2.61) Acct: 3.82 (4.04) proj_loss: -0.5839 (-0.5804) time: 0.3647 data: 0.0003 [11-24 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.738 (6.741) Lt: 5.980 (6.007) Accm: 2.68 (2.78) Acct: 4.32 (4.41) proj_loss: -0.5752 (-0.5733) time: 0.3648 data: 0.0003 [11-24 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.729 (6.733) Lt: 6.019 (6.027) Accm: 2.63 (2.60) Acct: 3.98 (4.05) proj_loss: -0.5976 (-0.5919) time: 0.3648 data: 0.0003 [11-24 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.837 (6.766) Lt: 6.158 (6.071) Accm: 2.45 (2.59) Acct: 3.65 (4.10) proj_loss: -0.6000 (-0.6002) time: 0.3648 data: 0.0003 [11-24 01:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.823 (6.777) Lt: 6.144 (6.086) Accm: 2.37 (2.51) Acct: 3.61 (3.97) proj_loss: -0.6018 (-0.6011) time: 0.3653 data: 0.0003 [11-24 01:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.809 (6.786) Lt: 6.101 (6.091) Accm: 2.61 (2.63) Acct: 3.98 (4.06) proj_loss: -0.5862 (-0.5828) time: 0.3653 data: 0.0002 [11-24 01:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.770 (6.767) Lt: 6.052 (6.039) Accm: 2.70 (2.76) Acct: 4.32 (4.39) proj_loss: -0.5737 (-0.5730) time: 0.3653 data: 0.0003 [11-24 01:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.752 (6.765) Lt: 6.059 (6.072) Accm: 2.63 (2.61) Acct: 4.01 (4.05) proj_loss: -0.6014 (-0.5979) time: 0.3653 data: 0.0003 [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.776 (6.771) Lt: 6.099 (6.081) Accm: 2.63 (2.60) Acct: 4.05 (4.07) proj_loss: -0.5976 (-0.5951) time: 0.3644 data: 0.0016 [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.771 (6.781) Lt: 6.033 (6.079) Accm: 2.68 (2.70) Acct: 4.13 (4.17) proj_loss: -0.5885 (-0.5852) time: 0.3644 data: 0.0017 [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.837 (6.791) Lt: 6.130 (6.091) Accm: 2.45 (2.50) Acct: 3.65 (3.99) proj_loss: -0.6000 (-0.5988) time: 0.3644 data: 0.0018 [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.738 (6.750) Lt: 5.980 (6.022) Accm: 2.68 (2.73) Acct: 4.32 (4.30) proj_loss: -0.5752 (-0.5788) time: 0.3644 data: 0.0014 [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:06 (0.363 s / it) [11-24 01:52:22] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 1:46:12, Finish: 2024-11-24 11:38 [11-24 01:52:22] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 1:46:45, Finish: 2024-11-24 11:39 [11-24 01:52:22] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 1:45:56, Finish: 2024-11-24 11:38 [11-24 01:52:22] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.043), Acc m&t: 2.77 4.35, Remain: 1 day, 1:46:28, Finish: 2024-11-24 11:38 [11-24 01:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:09:47 tlr: 0.00011 tnm: 0.43 Lm: 6.710 (6.710) Lt: 6.025 (6.025) Accm: 3.07 (3.07) Acct: 4.65 (4.65) proj_loss: -0.6034 (-0.6034) time: 0.3520 data: 0.0003 [11-24 01:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:09:47 tlr: 0.00011 tnm: 0.43 Lm: 6.680 (6.680) Lt: 5.925 (5.925) Accm: 2.84 (2.84) Acct: 4.39 (4.39) proj_loss: -0.5816 (-0.5816) time: 0.3519 data: 0.0004 [11-24 01:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:09:47 tlr: 0.00011 tnm: 0.43 Lm: 6.727 (6.727) Lt: 6.082 (6.082) Accm: 2.69 (2.69) Acct: 4.13 (4.13) proj_loss: -0.5879 (-0.5879) time: 0.3522 data: 0.0004 [11-24 01:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:09:48 tlr: 0.00011 tnm: 0.43 Lm: 6.725 (6.725) Lt: 6.024 (6.024) Accm: 2.78 (2.78) Acct: 4.58 (4.58) proj_loss: -0.5974 (-0.5974) time: 0.3527 data: 0.0003 [11-24 01:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.42 Lm: 6.671 (6.671) Lt: 5.940 (5.940) Accm: 2.91 (2.91) Acct: 4.55 (4.55) proj_loss: -0.5903 (-0.5903) time: 0.3637 data: 0.0003 [11-24 01:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.42 Lm: 6.698 (6.698) Lt: 6.025 (6.025) Accm: 2.90 (2.90) Acct: 4.62 (4.62) proj_loss: -0.5961 (-0.5961) time: 0.3637 data: 0.0003 [11-24 01:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.42 Lm: 6.746 (6.746) Lt: 6.023 (6.023) Accm: 2.94 (2.94) Acct: 4.55 (4.55) proj_loss: -0.6003 (-0.6003) time: 0.3637 data: 0.0003 [11-24 01:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.42 Lm: 6.683 (6.683) Lt: 5.959 (5.959) Accm: 2.82 (2.82) Acct: 4.44 (4.44) proj_loss: -0.6023 (-0.6023) time: 0.3637 data: 0.0003 [11-24 01:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.47 Lm: 6.674 (6.680) Lt: 5.947 (5.955) Accm: 2.85 (2.85) Acct: 4.34 (4.41) proj_loss: -0.6016 (-0.6020) time: 0.3622 data: 0.0003 [11-24 01:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.47 Lm: 6.680 (6.679) Lt: 5.956 (5.963) Accm: 2.84 (2.88) Acct: 4.39 (4.49) proj_loss: -0.5946 (-0.5917) time: 0.3622 data: 0.0003 [11-24 01:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.47 Lm: 6.710 (6.705) Lt: 6.021 (6.004) Accm: 3.07 (3.03) Acct: 4.65 (4.72) proj_loss: -0.6034 (-0.6073) time: 0.3622 data: 0.0003 [11-24 01:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.47 Lm: 6.727 (6.725) Lt: 6.082 (6.055) Accm: 2.69 (2.79) Acct: 4.22 (4.49) proj_loss: -0.6043 (-0.6008) time: 0.3622 data: 0.0003 [11-24 01:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.47 Lm: 6.752 (6.755) Lt: 6.098 (6.077) Accm: 2.69 (2.77) Acct: 4.28 (4.45) proj_loss: -0.5961 (-0.5939) time: 0.3615 data: 0.0003 [11-24 01:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.47 Lm: 6.688 (6.689) Lt: 5.982 (5.987) Accm: 2.83 (2.80) Acct: 4.37 (4.38) proj_loss: -0.5968 (-0.5960) time: 0.3615 data: 0.0003 [11-24 01:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.47 Lm: 6.667 (6.685) Lt: 5.993 (5.977) Accm: 3.13 (3.08) Acct: 4.73 (4.74) proj_loss: -0.6109 (-0.6101) time: 0.3615 data: 0.0003 [11-24 01:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.47 Lm: 6.699 (6.711) Lt: 5.986 (5.978) Accm: 2.82 (2.81) Acct: 4.32 (4.36) proj_loss: -0.6019 (-0.6021) time: 0.3615 data: 0.0003 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.706 (6.710) Lt: 5.989 (5.980) Accm: 2.85 (2.85) Acct: 4.34 (4.40) proj_loss: -0.6016 (-0.5996) time: 0.4133 data: 0.0020 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.695 (6.712) Lt: 6.008 (6.022) Accm: 2.82 (2.79) Acct: 4.36 (4.35) proj_loss: -0.5946 (-0.5943) time: 0.4133 data: 0.0019 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.750 (6.754) Lt: 6.082 (6.056) Accm: 2.70 (2.76) Acct: 4.34 (4.44) proj_loss: -0.5879 (-0.5873) time: 0.4133 data: 0.0017 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.641 (6.676) Lt: 6.005 (5.983) Accm: 3.20 (3.10) Acct: 4.82 (4.77) proj_loss: -0.6040 (-0.6088) time: 0.4133 data: 0.0021 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:02:33] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 1:36:18, Finish: 2024-11-24 11:38 [11-24 02:02:33] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 1:36:26, Finish: 2024-11-24 11:38 [11-24 02:02:33] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 1:36:02, Finish: 2024-11-24 11:38 [11-24 02:02:33] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.733 (6.738), Lt: 6.027 (6.037), Acc m&t: 2.77 4.35, Remain: 1 day, 1:36:24, Finish: 2024-11-24 11:38 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:09:31 tlr: 0.00011 tnm: 0.42 Lm: 6.723 (6.723) Lt: 6.037 (6.037) Accm: 2.78 (2.78) Acct: 4.36 (4.36) proj_loss: -0.5870 (-0.5870) time: 0.3427 data: 0.0003 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:09:32 tlr: 0.00011 tnm: 0.42 Lm: 6.450 (6.450) Lt: 5.689 (5.689) Accm: 3.73 (3.73) Acct: 6.11 (6.11) proj_loss: -0.5826 (-0.5826) time: 0.3433 data: 0.0004 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:09:33 tlr: 0.00011 tnm: 0.42 Lm: 6.596 (6.596) Lt: 5.931 (5.931) Accm: 2.90 (2.90) Acct: 4.73 (4.73) proj_loss: -0.6060 (-0.6060) time: 0.3434 data: 0.0004 [11-24 02:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:09:33 tlr: 0.00011 tnm: 0.42 Lm: 6.697 (6.697) Lt: 5.954 (5.954) Accm: 2.70 (2.70) Acct: 4.46 (4.46) proj_loss: -0.5854 (-0.5854) time: 0.3437 data: 0.0004 [11-24 02:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.45 Lm: 6.704 (6.704) Lt: 5.976 (5.976) Accm: 2.81 (2.81) Acct: 4.55 (4.55) proj_loss: -0.5887 (-0.5887) time: 0.3629 data: 0.0003 [11-24 02:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.45 Lm: 6.630 (6.630) Lt: 5.893 (5.893) Accm: 3.23 (3.23) Acct: 5.29 (5.29) proj_loss: -0.5718 (-0.5718) time: 0.3629 data: 0.0003 [11-24 02:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.45 Lm: 6.783 (6.783) Lt: 6.084 (6.084) Accm: 2.75 (2.75) Acct: 4.26 (4.26) proj_loss: -0.5895 (-0.5895) time: 0.3629 data: 0.0003 [11-24 02:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.45 Lm: 6.722 (6.722) Lt: 6.046 (6.046) Accm: 2.64 (2.64) Acct: 4.29 (4.29) proj_loss: -0.5948 (-0.5948) time: 0.3629 data: 0.0003 [11-24 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.44 Lm: 6.757 (6.734) Lt: 6.057 (6.049) Accm: 2.51 (2.60) Acct: 3.84 (4.11) proj_loss: -0.5929 (-0.5942) time: 0.3613 data: 0.0003 [11-24 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.44 Lm: 6.618 (6.626) Lt: 5.836 (5.874) Accm: 3.28 (3.24) Acct: 5.32 (5.30) proj_loss: -0.5826 (-0.5794) time: 0.3613 data: 0.0003 [11-24 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.44 Lm: 6.712 (6.730) Lt: 5.998 (6.008) Accm: 2.70 (2.77) Acct: 4.46 (4.41) proj_loss: -0.5920 (-0.5906) time: 0.3613 data: 0.0003 [11-24 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.44 Lm: 6.824 (6.797) Lt: 6.106 (6.091) Accm: 2.73 (2.72) Acct: 4.27 (4.26) proj_loss: -0.5920 (-0.5928) time: 0.3613 data: 0.0003 [11-24 02:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.42 Lm: 6.803 (6.769) Lt: 6.108 (6.092) Accm: 2.50 (2.57) Acct: 3.85 (4.05) proj_loss: -0.5882 (-0.5903) time: 0.4083 data: 0.0003 [11-24 02:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.42 Lm: 6.677 (6.654) Lt: 5.951 (5.922) Accm: 3.00 (3.11) Acct: 4.89 (5.03) proj_loss: -0.5834 (-0.5806) time: 0.4083 data: 0.0003 [11-24 02:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.42 Lm: 6.774 (6.757) Lt: 6.072 (6.045) Accm: 2.75 (2.86) Acct: 4.31 (4.52) proj_loss: -0.5939 (-0.5935) time: 0.4083 data: 0.0003 [11-24 02:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.42 Lm: 6.746 (6.768) Lt: 6.035 (6.065) Accm: 2.70 (2.61) Acct: 4.30 (4.08) proj_loss: -0.5933 (-0.5973) time: 0.4083 data: 0.0003 [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.712 (6.743) Lt: 5.998 (6.043) Accm: 2.70 (2.67) Acct: 4.46 (4.26) proj_loss: -0.5945 (-0.5979) time: 0.3640 data: 0.0015 [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:29 (0.377 s / it) [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.723 (6.746) Lt: 6.037 (6.033) Accm: 2.73 (2.82) Acct: 4.32 (4.48) proj_loss: -0.5920 (-0.5901) time: 0.3640 data: 0.0015 [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.790 (6.773) Lt: 6.069 (6.087) Accm: 2.51 (2.56) Acct: 3.86 (4.10) proj_loss: -0.5836 (-0.5866) time: 0.3640 data: 0.0019 [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.712 (6.665) Lt: 6.037 (5.945) Accm: 2.72 (3.03) Acct: 4.46 (4.88) proj_loss: -0.5841 (-0.5871) time: 0.3640 data: 0.0017 [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:29 (0.377 s / it) [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:29 (0.377 s / it) [11-24 02:13:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:29 (0.377 s / it) [11-24 02:15:13] (home/user/VAR/trainer.py, line 114)=> FID: 4.248249780338142 [11-24 02:15:14] (/home/user/VAR/train.py , line 259)=> [*] [ep199] (val 50000) Lm: 6.7402, Lt: 6.0399, Acc m&t: 2.75 4.31, Val cost: 131.35s [11-24 02:15:14] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 02:15:22] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.040), Acc m&t: 2.77 4.35, Remain: 1 day, 1:30:34, Finish: 2024-11-24 11:43 [11-24 02:15:22] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.040), Acc m&t: 2.77 4.35, Remain: 1 day, 1:29:45, Finish: 2024-11-24 11:42 [11-24 02:15:22] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.040), Acc m&t: 2.77 4.35, Remain: 1 day, 1:31:14, Finish: 2024-11-24 11:44 [11-24 02:15:22] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.733 (6.740), Lt: 6.027 (6.040), Acc m&t: 2.77 4.35, Remain: 1 day, 1:29:59, Finish: 2024-11-24 11:43 [11-24 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:10:00 tlr: 0.00011 tnm: 0.44 Lm: 6.728 (6.728) Lt: 6.042 (6.042) Accm: 3.15 (3.15) Acct: 4.82 (4.82) proj_loss: -0.6041 (-0.6041) time: 0.3596 data: 0.0003 [11-24 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:09:57 tlr: 0.00011 tnm: 0.44 Lm: 6.692 (6.692) Lt: 5.914 (5.914) Accm: 2.82 (2.82) Acct: 4.53 (4.53) proj_loss: -0.5945 (-0.5945) time: 0.3582 data: 0.0004 [11-24 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:10:03 tlr: 0.00011 tnm: 0.44 Lm: 6.701 (6.701) Lt: 5.937 (5.937) Accm: 2.72 (2.72) Acct: 4.36 (4.36) proj_loss: -0.5955 (-0.5955) time: 0.3617 data: 0.0004 [11-24 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:09:59 tlr: 0.00011 tnm: 0.44 Lm: 6.765 (6.765) Lt: 6.102 (6.102) Accm: 2.83 (2.83) Acct: 4.36 (4.36) proj_loss: -0.5910 (-0.5910) time: 0.3592 data: 0.0004 [11-24 02:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.716 (6.716) Lt: 6.034 (6.034) Accm: 2.87 (2.87) Acct: 4.64 (4.64) proj_loss: -0.5968 (-0.5968) time: 0.3612 data: 0.0003 [11-24 02:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.806 (6.806) Lt: 6.077 (6.077) Accm: 2.55 (2.55) Acct: 4.12 (4.12) proj_loss: -0.5824 (-0.5824) time: 0.3612 data: 0.0003 [11-24 02:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.757 (6.757) Lt: 6.033 (6.033) Accm: 2.74 (2.74) Acct: 4.28 (4.28) proj_loss: -0.5948 (-0.5948) time: 0.3612 data: 0.0003 [11-24 02:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.754 (6.754) Lt: 6.055 (6.055) Accm: 2.92 (2.92) Acct: 4.61 (4.61) proj_loss: -0.5928 (-0.5928) time: 0.3612 data: 0.0003 [11-24 02:20:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.45 Lm: 6.780 (6.769) Lt: 6.068 (6.066) Accm: 2.68 (2.79) Acct: 4.39 (4.46) proj_loss: -0.5912 (-0.5922) time: 0.3625 data: 0.0003 [11-24 02:20:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.45 Lm: 6.747 (6.786) Lt: 6.043 (6.065) Accm: 2.51 (2.53) Acct: 4.36 (4.20) proj_loss: -0.5945 (-0.5881) time: 0.3625 data: 0.0003 [11-24 02:20:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.45 Lm: 6.810 (6.775) Lt: 6.128 (6.072) Accm: 2.72 (2.66) Acct: 4.20 (4.11) proj_loss: -0.5955 (-0.5953) time: 0.3625 data: 0.0003 [11-24 02:20:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.45 Lm: 6.667 (6.692) Lt: 5.966 (5.979) Accm: 2.91 (2.93) Acct: 4.92 (4.73) proj_loss: -0.5956 (-0.5964) time: 0.3625 data: 0.0003 [11-24 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.656 (6.653) Lt: 5.918 (5.948) Accm: 2.99 (3.04) Acct: 4.92 (4.80) proj_loss: -0.5992 (-0.5983) time: 0.3632 data: 0.0003 [11-24 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.736 (6.771) Lt: 6.025 (6.051) Accm: 2.67 (2.61) Acct: 4.44 (4.29) proj_loss: -0.5950 (-0.5899) time: 0.3632 data: 0.0003 [11-24 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.812 (6.797) Lt: 6.140 (6.109) Accm: 2.63 (2.63) Acct: 4.05 (4.05) proj_loss: -0.5948 (-0.5935) time: 0.3632 data: 0.0003 [11-24 02:22:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.754 (6.756) Lt: 6.055 (6.056) Accm: 2.82 (2.83) Acct: 4.44 (4.47) proj_loss: -0.5977 (-0.5952) time: 0.3632 data: 0.0003 [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.728 (6.745) Lt: 6.042 (6.036) Accm: 2.68 (2.79) Acct: 4.39 (4.37) proj_loss: -0.6013 (-0.5964) time: 0.3626 data: 0.0020 [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.726 (6.756) Lt: 6.008 (6.041) Accm: 2.82 (2.68) Acct: 4.53 (4.34) proj_loss: -0.5945 (-0.5870) time: 0.3626 data: 0.0016 [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.667 (6.666) Lt: 5.966 (5.964) Accm: 2.91 (2.96) Acct: 4.92 (4.62) proj_loss: -0.5956 (-0.5958) time: 0.3626 data: 0.0017 [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.810 (6.769) Lt: 6.128 (6.077) Accm: 2.72 (2.67) Acct: 4.20 (4.10) proj_loss: -0.5942 (-0.5916) time: 0.3626 data: 0.0019 [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:25:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:25:28] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.039), Acc m&t: 2.77 4.35, Remain: 1 day, 1:12:48, Finish: 2024-11-24 11:38 [11-24 02:25:28] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.039), Acc m&t: 2.77 4.35, Remain: 1 day, 1:12:59, Finish: 2024-11-24 11:38 [11-24 02:25:28] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.039), Acc m&t: 2.77 4.35, Remain: 1 day, 1:13:08, Finish: 2024-11-24 11:38 [11-24 02:25:28] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.733 (6.742), Lt: 6.027 (6.039), Acc m&t: 2.77 4.35, Remain: 1 day, 1:13:29, Finish: 2024-11-24 11:38 [11-24 02:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:09:41 tlr: 0.00011 tnm: 0.42 Lm: 6.793 (6.793) Lt: 6.154 (6.154) Accm: 2.61 (2.61) Acct: 3.93 (3.93) proj_loss: -0.6155 (-0.6155) time: 0.3484 data: 0.0003 [11-24 02:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:09:32 tlr: 0.00011 tnm: 0.42 Lm: 6.701 (6.701) Lt: 5.991 (5.991) Accm: 3.03 (3.03) Acct: 4.67 (4.67) proj_loss: -0.5935 (-0.5935) time: 0.3431 data: 0.0003 [11-24 02:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:09:32 tlr: 0.00011 tnm: 0.42 Lm: 6.831 (6.831) Lt: 6.136 (6.136) Accm: 2.63 (2.63) Acct: 4.18 (4.18) proj_loss: -0.5883 (-0.5883) time: 0.3429 data: 0.0004 [11-24 02:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:09:33 tlr: 0.00011 tnm: 0.42 Lm: 6.749 (6.749) Lt: 6.088 (6.088) Accm: 2.78 (2.78) Acct: 4.30 (4.30) proj_loss: -0.5883 (-0.5883) time: 0.3438 data: 0.0004 [11-24 02:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.45 Lm: 6.703 (6.703) Lt: 6.000 (6.000) Accm: 2.98 (2.98) Acct: 4.75 (4.75) proj_loss: -0.5848 (-0.5848) time: 0.3616 data: 0.0002 [11-24 02:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.45 Lm: 6.768 (6.768) Lt: 6.069 (6.069) Accm: 2.69 (2.69) Acct: 4.15 (4.15) proj_loss: -0.5973 (-0.5973) time: 0.3616 data: 0.0003 [11-24 02:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.45 Lm: 6.830 (6.830) Lt: 6.142 (6.142) Accm: 2.51 (2.51) Acct: 3.95 (3.95) proj_loss: -0.5882 (-0.5882) time: 0.3616 data: 0.0003 [11-24 02:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.45 Lm: 6.669 (6.669) Lt: 5.966 (5.966) Accm: 3.00 (3.00) Acct: 4.65 (4.65) proj_loss: -0.5926 (-0.5926) time: 0.3616 data: 0.0003 [11-24 02:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.45 Lm: 6.701 (6.685) Lt: 5.991 (5.977) Accm: 2.98 (2.92) Acct: 4.63 (4.47) proj_loss: -0.5935 (-0.5948) time: 0.3626 data: 0.0003 [11-24 02:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.45 Lm: 6.744 (6.741) Lt: 5.984 (6.026) Accm: 2.78 (2.77) Acct: 4.37 (4.30) proj_loss: -0.6113 (-0.6020) time: 0.3627 data: 0.0002 [11-24 02:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.45 Lm: 6.749 (6.720) Lt: 6.088 (6.035) Accm: 2.78 (2.88) Acct: 4.30 (4.55) proj_loss: -0.5883 (-0.5957) time: 0.3626 data: 0.0003 [11-24 02:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.45 Lm: 6.831 (6.848) Lt: 6.148 (6.153) Accm: 2.40 (2.47) Acct: 4.13 (4.01) proj_loss: -0.5883 (-0.5911) time: 0.3627 data: 0.0003 [11-24 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.830 (6.804) Lt: 6.142 (6.118) Accm: 2.51 (2.58) Acct: 4.16 (4.13) proj_loss: -0.5926 (-0.5961) time: 0.3645 data: 0.0003 [11-24 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.768 (6.773) Lt: 6.069 (6.073) Accm: 2.69 (2.62) Acct: 4.15 (4.04) proj_loss: -0.6022 (-0.5998) time: 0.3645 data: 0.0002 [11-24 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.750 (6.728) Lt: 6.067 (6.037) Accm: 2.73 (2.82) Acct: 4.23 (4.41) proj_loss: -0.6012 (-0.6003) time: 0.3645 data: 0.0003 [11-24 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.669 (6.649) Lt: 5.966 (5.932) Accm: 3.00 (3.00) Acct: 4.65 (4.60) proj_loss: -0.5935 (-0.5944) time: 0.3645 data: 0.0002 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.47 Lm: 6.701 (6.676) Lt: 5.991 (5.971) Accm: 2.98 (2.98) Acct: 4.63 (4.60) proj_loss: -0.5935 (-0.5932) time: 0.3682 data: 0.0015 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.47 Lm: 6.744 (6.745) Lt: 5.984 (6.039) Accm: 2.78 (2.67) Acct: 4.37 (4.13) proj_loss: -0.5931 (-0.5947) time: 0.3682 data: 0.0016 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.47 Lm: 6.828 (6.793) Lt: 6.136 (6.103) Accm: 2.63 (2.61) Acct: 4.18 (4.17) proj_loss: -0.5958 (-0.5961) time: 0.3682 data: 0.0020 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.47 Lm: 6.749 (6.732) Lt: 6.045 (6.032) Accm: 2.70 (2.79) Acct: 4.30 (4.39) proj_loss: -0.6035 (-0.6009) time: 0.3682 data: 0.0017 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:10 (0.366 s / it) [11-24 02:35:39] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.033), Acc m&t: 2.78 4.35, Remain: 1 day, 1:12:06, Finish: 2024-11-24 11:47 [11-24 02:35:39] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.033), Acc m&t: 2.78 4.35, Remain: 1 day, 1:11:46, Finish: 2024-11-24 11:47 [11-24 02:35:39] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.033), Acc m&t: 2.78 4.35, Remain: 1 day, 1:12:21, Finish: 2024-11-24 11:48 [11-24 02:35:39] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.033), Acc m&t: 2.78 4.35, Remain: 1 day, 1:12:21, Finish: 2024-11-24 11:48 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:50 tlr: 0.00011 tnm: 0.46 Lm: 6.785 (6.785) Lt: 6.083 (6.083) Accm: 2.60 (2.60) Acct: 4.13 (4.13) proj_loss: -0.5899 (-0.5899) time: 0.3540 data: 0.0004 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:52 tlr: 0.00011 tnm: 0.46 Lm: 6.639 (6.639) Lt: 5.921 (5.921) Accm: 3.11 (3.11) Acct: 5.01 (5.01) proj_loss: -0.5914 (-0.5914) time: 0.3552 data: 0.0003 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:53 tlr: 0.00011 tnm: 0.46 Lm: 6.753 (6.753) Lt: 6.028 (6.028) Accm: 2.85 (2.85) Acct: 4.61 (4.61) proj_loss: -0.6005 (-0.6005) time: 0.3554 data: 0.0003 [11-24 02:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:52 tlr: 0.00011 tnm: 0.46 Lm: 6.791 (6.791) Lt: 6.128 (6.128) Accm: 2.48 (2.48) Acct: 3.55 (3.55) proj_loss: -0.5965 (-0.5965) time: 0.3547 data: 0.0004 [11-24 02:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:08:02 tlr: 0.00011 tnm: 0.43 Lm: 6.797 (6.797) Lt: 6.133 (6.133) Accm: 2.52 (2.52) Acct: 3.86 (3.86) proj_loss: -0.6030 (-0.6030) time: 0.4106 data: 0.0003 [11-24 02:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:08:02 tlr: 0.00011 tnm: 0.43 Lm: 6.751 (6.751) Lt: 6.057 (6.057) Accm: 2.71 (2.71) Acct: 4.26 (4.26) proj_loss: -0.6061 (-0.6061) time: 0.4106 data: 0.0003 [11-24 02:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:08:02 tlr: 0.00011 tnm: 0.43 Lm: 6.725 (6.725) Lt: 5.996 (5.996) Accm: 2.96 (2.96) Acct: 4.91 (4.91) proj_loss: -0.5988 (-0.5988) time: 0.4106 data: 0.0002 [11-24 02:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:08:02 tlr: 0.00011 tnm: 0.43 Lm: 6.774 (6.774) Lt: 6.080 (6.080) Accm: 2.61 (2.61) Acct: 4.14 (4.14) proj_loss: -0.5912 (-0.5912) time: 0.4106 data: 0.0003 [11-24 02:41:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:21 tlr: 0.00011 tnm: 0.45 Lm: 6.784 (6.777) Lt: 6.080 (6.080) Accm: 2.60 (2.60) Acct: 4.13 (4.04) proj_loss: -0.5899 (-0.5875) time: 0.3618 data: 0.0003 [11-24 02:41:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:21 tlr: 0.00011 tnm: 0.45 Lm: 6.772 (6.758) Lt: 6.137 (6.084) Accm: 2.51 (2.64) Acct: 4.06 (4.20) proj_loss: -0.5978 (-0.6033) time: 0.3617 data: 0.0002 [11-24 02:41:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:21 tlr: 0.00011 tnm: 0.45 Lm: 6.791 (6.767) Lt: 6.128 (6.084) Accm: 2.48 (2.47) Acct: 3.87 (3.86) proj_loss: -0.5995 (-0.6019) time: 0.3617 data: 0.0003 [11-24 02:41:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:21 tlr: 0.00011 tnm: 0.45 Lm: 6.753 (6.737) Lt: 6.028 (6.009) Accm: 2.85 (2.86) Acct: 4.61 (4.65) proj_loss: -0.6005 (-0.6033) time: 0.3618 data: 0.0003 [11-24 02:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:39 tlr: 0.00011 tnm: 0.41 Lm: 6.706 (6.726) Lt: 6.029 (6.042) Accm: 2.76 (2.73) Acct: 4.38 (4.32) proj_loss: -0.5946 (-0.5978) time: 0.3626 data: 0.0003 [11-24 02:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:39 tlr: 0.00011 tnm: 0.41 Lm: 6.774 (6.736) Lt: 6.078 (6.026) Accm: 2.61 (2.70) Acct: 4.14 (4.20) proj_loss: -0.5912 (-0.5896) time: 0.3626 data: 0.0003 [11-24 02:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:39 tlr: 0.00011 tnm: 0.41 Lm: 6.765 (6.760) Lt: 6.105 (6.084) Accm: 2.52 (2.51) Acct: 3.98 (3.92) proj_loss: -0.6027 (-0.6029) time: 0.3626 data: 0.0002 [11-24 02:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:39 tlr: 0.00011 tnm: 0.41 Lm: 6.725 (6.713) Lt: 5.996 (5.997) Accm: 2.96 (2.92) Acct: 4.84 (4.75) proj_loss: -0.6028 (-0.6038) time: 0.3626 data: 0.0003 [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.696 (6.701) Lt: 5.964 (5.982) Accm: 2.85 (2.88) Acct: 4.61 (4.65) proj_loss: -0.6009 (-0.6032) time: 0.3654 data: 0.0022 [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.784 (6.775) Lt: 6.080 (6.074) Accm: 2.60 (2.67) Acct: 4.13 (4.17) proj_loss: -0.5925 (-0.5905) time: 0.3654 data: 0.0015 [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:31 (0.378 s / it) [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.791 (6.786) Lt: 6.128 (6.108) Accm: 2.48 (2.48) Acct: 4.01 (3.94) proj_loss: -0.5995 (-0.6018) time: 0.3654 data: 0.0019 [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.640 (6.709) Lt: 5.956 (6.025) Accm: 2.89 (2.77) Acct: 4.55 (4.37) proj_loss: -0.5978 (-0.6017) time: 0.3654 data: 0.0016 [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:31 (0.378 s / it) [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:31 (0.378 s / it) [11-24 02:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:31 (0.378 s / it) [11-24 02:46:10] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.038), Acc m&t: 2.78 4.35, Remain: 1 day, 0:59:38, Finish: 2024-11-24 11:45 [11-24 02:46:10] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.038), Acc m&t: 2.78 4.35, Remain: 1 day, 1:00:17, Finish: 2024-11-24 11:46 [11-24 02:46:10] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.038), Acc m&t: 2.78 4.35, Remain: 1 day, 0:58:58, Finish: 2024-11-24 11:45 [11-24 02:46:10] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.733 (6.739), Lt: 6.027 (6.038), Acc m&t: 2.78 4.35, Remain: 1 day, 0:58:39, Finish: 2024-11-24 11:44 [11-24 02:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:09:54 tlr: 0.00011 tnm: 0.43 Lm: 6.776 (6.776) Lt: 6.007 (6.007) Accm: 2.62 (2.62) Acct: 4.36 (4.36) proj_loss: -0.5678 (-0.5678) time: 0.3565 data: 0.0004 [11-24 02:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:09:55 tlr: 0.00011 tnm: 0.43 Lm: 6.765 (6.765) Lt: 6.044 (6.044) Accm: 2.65 (2.65) Acct: 4.34 (4.34) proj_loss: -0.5953 (-0.5953) time: 0.3570 data: 0.0004 [11-24 02:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:09:56 tlr: 0.00011 tnm: 0.43 Lm: 6.794 (6.794) Lt: 6.108 (6.108) Accm: 2.68 (2.68) Acct: 4.37 (4.37) proj_loss: -0.6158 (-0.6158) time: 0.3573 data: 0.0003 [11-24 02:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:10:05 tlr: 0.00011 tnm: 0.43 Lm: 6.621 (6.621) Lt: 5.922 (5.922) Accm: 2.96 (2.96) Acct: 4.72 (4.72) proj_loss: -0.5855 (-0.5855) time: 0.3630 data: 0.0002 [11-24 02:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.45 Lm: 6.646 (6.646) Lt: 5.926 (5.926) Accm: 2.95 (2.95) Acct: 4.67 (4.67) proj_loss: -0.5799 (-0.5799) time: 0.3609 data: 0.0002 [11-24 02:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.45 Lm: 6.740 (6.740) Lt: 6.012 (6.012) Accm: 2.76 (2.76) Acct: 4.49 (4.49) proj_loss: -0.5927 (-0.5927) time: 0.3609 data: 0.0003 [11-24 02:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.45 Lm: 6.747 (6.747) Lt: 6.042 (6.042) Accm: 2.71 (2.71) Acct: 4.26 (4.26) proj_loss: -0.5965 (-0.5965) time: 0.3609 data: 0.0003 [11-24 02:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.45 Lm: 6.694 (6.694) Lt: 5.961 (5.961) Accm: 2.90 (2.90) Acct: 4.55 (4.55) proj_loss: -0.5812 (-0.5812) time: 0.3609 data: 0.0003 [11-24 02:51:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.43 Lm: 6.776 (6.730) Lt: 6.007 (6.011) Accm: 2.62 (2.75) Acct: 4.36 (4.31) proj_loss: -0.5907 (-0.5844) time: 0.3637 data: 0.0002 [11-24 02:51:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.43 Lm: 6.715 (6.726) Lt: 6.039 (6.021) Accm: 2.65 (2.70) Acct: 4.34 (4.32) proj_loss: -0.5953 (-0.5972) time: 0.3637 data: 0.0002 [11-24 02:51:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.43 Lm: 6.654 (6.649) Lt: 5.931 (5.932) Accm: 2.96 (2.96) Acct: 4.61 (4.60) proj_loss: -0.5855 (-0.5840) time: 0.3637 data: 0.0002 [11-24 02:51:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.43 Lm: 6.736 (6.743) Lt: 6.053 (6.046) Accm: 2.74 (2.80) Acct: 4.37 (4.33) proj_loss: -0.5974 (-0.5968) time: 0.3637 data: 0.0003 [11-24 02:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.740 (6.746) Lt: 6.042 (6.037) Accm: 2.68 (2.70) Acct: 4.31 (4.31) proj_loss: -0.6008 (-0.6002) time: 0.3616 data: 0.0004 [11-24 02:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.718 (6.712) Lt: 5.990 (6.002) Accm: 2.70 (2.76) Acct: 4.29 (4.29) proj_loss: -0.5891 (-0.5851) time: 0.3617 data: 0.0002 [11-24 02:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.662 (6.661) Lt: 5.937 (5.951) Accm: 2.95 (2.94) Acct: 4.57 (4.58) proj_loss: -0.5799 (-0.5813) time: 0.3617 data: 0.0003 [11-24 02:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.737 (6.742) Lt: 6.034 (6.038) Accm: 2.86 (2.86) Acct: 4.42 (4.49) proj_loss: -0.5950 (-0.5957) time: 0.3617 data: 0.0003 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.736 (6.719) Lt: 6.016 (6.012) Accm: 2.98 (2.90) Acct: 4.48 (4.58) proj_loss: -0.5926 (-0.5946) time: 0.3690 data: 0.0017 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.715 (6.740) Lt: 6.044 (6.039) Accm: 2.72 (2.74) Acct: 4.29 (4.28) proj_loss: -0.6047 (-0.6011) time: 0.3690 data: 0.0021 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.660 (6.701) Lt: 5.974 (5.985) Accm: 2.78 (2.83) Acct: 4.36 (4.40) proj_loss: -0.5901 (-0.5861) time: 0.3690 data: 0.0016 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.670 (6.679) Lt: 5.944 (5.976) Accm: 2.94 (2.94) Acct: 4.53 (4.57) proj_loss: -0.5855 (-0.5884) time: 0.3690 data: 0.0016 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:05 (0.363 s / it) [11-24 02:56:16] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.725 (6.725), Lt: 6.019 (6.019), Acc m&t: 2.80 4.39, Remain: 1 day, 0:55:48, Finish: 2024-11-24 11:52 [11-24 02:56:16] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.725 (6.725), Lt: 6.019 (6.019), Acc m&t: 2.80 4.39, Remain: 1 day, 0:56:12, Finish: 2024-11-24 11:52 [11-24 02:56:16] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.725 (6.725), Lt: 6.019 (6.019), Acc m&t: 2.80 4.39, Remain: 1 day, 0:55:18, Finish: 2024-11-24 11:51 [11-24 02:56:16] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.725 (6.725), Lt: 6.019 (6.019), Acc m&t: 2.80 4.39, Remain: 1 day, 0:55:18, Finish: 2024-11-24 11:51 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:38 tlr: 0.00011 tnm: 0.43 Lm: 6.743 (6.743) Lt: 5.996 (5.996) Accm: 2.79 (2.79) Acct: 4.42 (4.42) proj_loss: -0.5905 (-0.5905) time: 0.3464 data: 0.0003 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:37 tlr: 0.00011 tnm: 0.43 Lm: 6.644 (6.644) Lt: 5.881 (5.881) Accm: 3.06 (3.06) Acct: 4.91 (4.91) proj_loss: -0.5932 (-0.5932) time: 0.3462 data: 0.0004 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:37 tlr: 0.00011 tnm: 0.43 Lm: 6.709 (6.709) Lt: 5.966 (5.966) Accm: 2.67 (2.67) Acct: 4.34 (4.34) proj_loss: -0.5821 (-0.5821) time: 0.3457 data: 0.0004 [11-24 02:56:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:38 tlr: 0.00011 tnm: 0.43 Lm: 6.819 (6.819) Lt: 6.095 (6.095) Accm: 2.41 (2.41) Acct: 3.96 (3.96) proj_loss: -0.5845 (-0.5845) time: 0.3467 data: 0.0003 [11-24 02:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.44 Lm: 6.775 (6.775) Lt: 6.051 (6.051) Accm: 2.64 (2.64) Acct: 4.36 (4.36) proj_loss: -0.6020 (-0.6020) time: 0.3635 data: 0.0002 [11-24 02:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.44 Lm: 6.763 (6.763) Lt: 6.068 (6.068) Accm: 2.57 (2.57) Acct: 4.05 (4.05) proj_loss: -0.6003 (-0.6003) time: 0.3635 data: 0.0002 [11-24 02:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.44 Lm: 6.690 (6.690) Lt: 5.930 (5.930) Accm: 2.85 (2.85) Acct: 4.62 (4.62) proj_loss: -0.5994 (-0.5994) time: 0.3635 data: 0.0003 [11-24 02:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:35 tlr: 0.00011 tnm: 0.44 Lm: 6.679 (6.679) Lt: 5.944 (5.944) Accm: 2.83 (2.83) Acct: 4.61 (4.61) proj_loss: -0.5871 (-0.5871) time: 0.3635 data: 0.0003 [11-24 03:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.709 (6.697) Lt: 5.966 (5.961) Accm: 2.72 (2.80) Acct: 4.37 (4.53) proj_loss: -0.5872 (-0.5871) time: 0.3627 data: 0.0004 [11-24 03:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.736 (6.721) Lt: 5.980 (5.989) Accm: 2.64 (2.77) Acct: 4.34 (4.44) proj_loss: -0.5932 (-0.5965) time: 0.3627 data: 0.0003 [11-24 03:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.783 (6.798) Lt: 6.139 (6.102) Accm: 2.64 (2.59) Acct: 4.18 (4.09) proj_loss: -0.6033 (-0.6013) time: 0.3627 data: 0.0002 [11-24 03:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.819 (6.813) Lt: 6.095 (6.118) Accm: 2.45 (2.58) Acct: 3.96 (4.20) proj_loss: -0.6103 (-0.6048) time: 0.3627 data: 0.0003 [11-24 03:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.44 Lm: 6.775 (6.778) Lt: 6.051 (6.083) Accm: 2.67 (2.66) Acct: 4.18 (4.25) proj_loss: -0.6059 (-0.6040) time: 0.3638 data: 0.0003 [11-24 03:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.44 Lm: 6.763 (6.777) Lt: 6.068 (6.068) Accm: 2.71 (2.71) Acct: 4.30 (4.25) proj_loss: -0.6023 (-0.6013) time: 0.3638 data: 0.0002 [11-24 03:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.44 Lm: 6.710 (6.712) Lt: 5.947 (5.970) Accm: 2.77 (2.80) Acct: 4.62 (4.58) proj_loss: -0.5920 (-0.5937) time: 0.3638 data: 0.0003 [11-24 03:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.44 Lm: 6.679 (6.664) Lt: 5.944 (5.922) Accm: 2.86 (2.86) Acct: 4.58 (4.59) proj_loss: -0.5896 (-0.5893) time: 0.3638 data: 0.0003 [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.709 (6.682) Lt: 5.966 (5.948) Accm: 2.78 (2.85) Acct: 4.37 (4.49) proj_loss: -0.5872 (-0.5883) time: 0.3652 data: 0.0015 [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:11 (0.367 s / it) [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.730 (6.754) Lt: 6.007 (6.061) Accm: 2.88 (2.73) Acct: 4.41 (4.34) proj_loss: -0.6015 (-0.6031) time: 0.3652 data: 0.0016 [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.783 (6.779) Lt: 6.094 (6.073) Accm: 2.64 (2.70) Acct: 4.18 (4.19) proj_loss: -0.6014 (-0.5982) time: 0.3651 data: 0.0017 [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.707 (6.711) Lt: 5.980 (5.980) Accm: 2.90 (2.84) Acct: 4.82 (4.63) proj_loss: -0.5921 (-0.5934) time: 0.3652 data: 0.0018 [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:11 (0.367 s / it) [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:11 (0.367 s / it) [11-24 03:06:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:11 (0.367 s / it) [11-24 03:06:27] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.020), Acc m&t: 2.80 4.39, Remain: 1 day, 0:37:29, Finish: 2024-11-24 11:43 [11-24 03:06:27] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.020), Acc m&t: 2.80 4.39, Remain: 1 day, 0:37:01, Finish: 2024-11-24 11:43 [11-24 03:06:27] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.020), Acc m&t: 2.80 4.39, Remain: 1 day, 0:36:47, Finish: 2024-11-24 11:43 [11-24 03:06:27] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.020), Acc m&t: 2.80 4.39, Remain: 1 day, 0:36:15, Finish: 2024-11-24 11:42 [11-24 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:43 tlr: 0.00011 tnm: 0.44 Lm: 6.644 (6.644) Lt: 5.945 (5.945) Accm: 2.84 (2.84) Acct: 4.25 (4.25) proj_loss: -0.5997 (-0.5997) time: 0.3499 data: 0.0004 [11-24 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:37 tlr: 0.00011 tnm: 0.44 Lm: 6.703 (6.703) Lt: 6.023 (6.023) Accm: 2.83 (2.83) Acct: 4.49 (4.49) proj_loss: -0.5837 (-0.5837) time: 0.3462 data: 0.0004 [11-24 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:44 tlr: 0.00011 tnm: 0.44 Lm: 6.748 (6.748) Lt: 6.041 (6.041) Accm: 2.67 (2.67) Acct: 4.29 (4.29) proj_loss: -0.5733 (-0.5733) time: 0.3501 data: 0.0003 [11-24 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:46 tlr: 0.00011 tnm: 0.44 Lm: 6.746 (6.746) Lt: 6.038 (6.038) Accm: 2.96 (2.96) Acct: 4.32 (4.32) proj_loss: -0.5973 (-0.5973) time: 0.3517 data: 0.0004 [11-24 03:09:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.46 Lm: 6.795 (6.795) Lt: 6.124 (6.124) Accm: 2.73 (2.73) Acct: 4.12 (4.12) proj_loss: -0.6117 (-0.6117) time: 0.3640 data: 0.0003 [11-24 03:09:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.46 Lm: 6.686 (6.686) Lt: 6.000 (6.000) Accm: 2.74 (2.74) Acct: 4.28 (4.28) proj_loss: -0.5845 (-0.5845) time: 0.3641 data: 0.0003 [11-24 03:09:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.46 Lm: 6.686 (6.686) Lt: 6.018 (6.018) Accm: 2.78 (2.78) Acct: 4.27 (4.27) proj_loss: -0.5908 (-0.5908) time: 0.3641 data: 0.0003 [11-24 03:09:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.46 Lm: 6.724 (6.724) Lt: 6.010 (6.010) Accm: 2.73 (2.73) Acct: 4.33 (4.33) proj_loss: -0.5867 (-0.5867) time: 0.3641 data: 0.0003 [11-24 03:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.47 Lm: 6.699 (6.713) Lt: 5.979 (5.996) Accm: 2.78 (2.75) Acct: 4.37 (4.37) proj_loss: -0.5863 (-0.5866) time: 0.3635 data: 0.0003 [11-24 03:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.47 Lm: 6.718 (6.697) Lt: 5.988 (6.008) Accm: 2.84 (2.82) Acct: 4.29 (4.39) proj_loss: -0.5953 (-0.5923) time: 0.3635 data: 0.0003 [11-24 03:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.47 Lm: 6.813 (6.801) Lt: 6.159 (6.136) Accm: 2.63 (2.70) Acct: 4.01 (4.08) proj_loss: -0.6121 (-0.6118) time: 0.3635 data: 0.0002 [11-24 03:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.47 Lm: 6.703 (6.698) Lt: 6.023 (6.011) Accm: 2.83 (2.79) Acct: 4.46 (4.34) proj_loss: -0.5854 (-0.5863) time: 0.3635 data: 0.0002 [11-24 03:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.44 Lm: 6.713 (6.740) Lt: 6.028 (6.050) Accm: 2.74 (2.71) Acct: 4.26 (4.18) proj_loss: -0.5876 (-0.5915) time: 0.3615 data: 0.0003 [11-24 03:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.44 Lm: 6.723 (6.711) Lt: 6.015 (6.016) Accm: 2.81 (2.81) Acct: 4.27 (4.35) proj_loss: -0.5887 (-0.5859) time: 0.3615 data: 0.0003 [11-24 03:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.44 Lm: 6.724 (6.729) Lt: 6.010 (6.016) Accm: 2.72 (2.72) Acct: 4.33 (4.29) proj_loss: -0.5932 (-0.5920) time: 0.3616 data: 0.0003 [11-24 03:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.44 Lm: 6.779 (6.708) Lt: 6.098 (6.014) Accm: 2.79 (2.95) Acct: 4.17 (4.52) proj_loss: -0.6066 (-0.6092) time: 0.3616 data: 0.0003 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.793 (6.725) Lt: 6.102 (6.031) Accm: 2.67 (2.89) Acct: 4.24 (4.47) proj_loss: -0.6012 (-0.6044) time: 0.3642 data: 0.0019 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:28 (0.376 s / it) [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.728 (6.717) Lt: 6.017 (6.016) Accm: 2.78 (2.78) Acct: 4.29 (4.38) proj_loss: -0.5953 (-0.5936) time: 0.3642 data: 0.0019 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.699 (6.716) Lt: 5.979 (5.992) Accm: 2.78 (2.73) Acct: 4.37 (4.33) proj_loss: -0.5955 (-0.5927) time: 0.3642 data: 0.0016 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.703 (6.730) Lt: 6.023 (6.030) Accm: 2.83 (2.78) Acct: 4.46 (4.25) proj_loss: -0.5854 (-0.5875) time: 0.3642 data: 0.0016 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:28 (0.376 s / it) [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:28 (0.376 s / it) [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:28 (0.376 s / it) [11-24 03:16:56] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 1 day, 0:25:20, Finish: 2024-11-24 11:42 [11-24 03:16:56] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 1 day, 0:24:33, Finish: 2024-11-24 11:41 [11-24 03:16:56] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 1 day, 0:25:28, Finish: 2024-11-24 11:42 [11-24 03:16:56] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 1 day, 0:25:32, Finish: 2024-11-24 11:42 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:09:28 tlr: 0.00011 tnm: 0.45 Lm: 6.752 (6.752) Lt: 6.061 (6.061) Accm: 2.69 (2.69) Acct: 4.32 (4.32) proj_loss: -0.5927 (-0.5927) time: 0.3406 data: 0.0004 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:10:25 tlr: 0.00011 tnm: 0.45 Lm: 6.718 (6.718) Lt: 6.052 (6.052) Accm: 2.88 (2.88) Acct: 4.39 (4.39) proj_loss: -0.5984 (-0.5984) time: 0.3748 data: 0.0004 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:10:26 tlr: 0.00011 tnm: 0.45 Lm: 6.814 (6.814) Lt: 6.154 (6.154) Accm: 2.56 (2.56) Acct: 3.89 (3.89) proj_loss: -0.6124 (-0.6124) time: 0.3751 data: 0.0004 [11-24 03:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:10:26 tlr: 0.00011 tnm: 0.45 Lm: 6.908 (6.908) Lt: 6.227 (6.227) Accm: 2.39 (2.39) Acct: 3.94 (3.94) proj_loss: -0.5924 (-0.5924) time: 0.3752 data: 0.0004 [11-24 03:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.778 (6.778) Lt: 6.086 (6.086) Accm: 2.61 (2.61) Acct: 4.18 (4.18) proj_loss: -0.6016 (-0.6016) time: 0.3615 data: 0.0003 [11-24 03:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.682 (6.682) Lt: 6.005 (6.005) Accm: 2.91 (2.91) Acct: 4.36 (4.36) proj_loss: -0.6065 (-0.6065) time: 0.3616 data: 0.0003 [11-24 03:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.709 (6.709) Lt: 6.022 (6.022) Accm: 2.98 (2.98) Acct: 4.57 (4.57) proj_loss: -0.6090 (-0.6090) time: 0.3616 data: 0.0003 [11-24 03:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.44 Lm: 6.776 (6.776) Lt: 6.084 (6.084) Accm: 2.63 (2.63) Acct: 4.10 (4.10) proj_loss: -0.6022 (-0.6022) time: 0.3616 data: 0.0003 [11-24 03:22:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:04 tlr: 0.00011 tnm: 0.45 Lm: 6.757 (6.770) Lt: 6.061 (6.069) Accm: 2.67 (2.64) Acct: 4.32 (4.19) proj_loss: -0.6017 (-0.6020) time: 0.3636 data: 0.0003 [11-24 03:22:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:04 tlr: 0.00011 tnm: 0.45 Lm: 6.640 (6.686) Lt: 5.895 (5.980) Accm: 3.16 (3.04) Acct: 4.91 (4.68) proj_loss: -0.6057 (-0.5966) time: 0.3636 data: 0.0003 [11-24 03:22:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:04 tlr: 0.00011 tnm: 0.45 Lm: 6.648 (6.729) Lt: 5.945 (6.028) Accm: 2.83 (2.76) Acct: 4.42 (4.37) proj_loss: -0.5924 (-0.5984) time: 0.3636 data: 0.0002 [11-24 03:22:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:04 tlr: 0.00011 tnm: 0.45 Lm: 6.666 (6.677) Lt: 5.991 (6.001) Accm: 2.88 (2.89) Acct: 4.34 (4.17) proj_loss: -0.6125 (-0.6085) time: 0.3636 data: 0.0003 [11-24 03:24:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.692 (6.706) Lt: 6.022 (6.029) Accm: 2.87 (2.80) Acct: 4.11 (4.10) proj_loss: -0.6060 (-0.6062) time: 0.3629 data: 0.0003 [11-24 03:24:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.676 (6.723) Lt: 5.967 (6.018) Accm: 2.82 (2.78) Acct: 4.48 (4.41) proj_loss: -0.6016 (-0.6016) time: 0.3629 data: 0.0003 [11-24 03:24:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.684 (6.696) Lt: 5.983 (6.002) Accm: 2.90 (2.94) Acct: 4.56 (4.57) proj_loss: -0.5985 (-0.5952) time: 0.3629 data: 0.0003 [11-24 03:24:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.779 (6.796) Lt: 6.084 (6.094) Accm: 2.62 (2.59) Acct: 4.10 (4.08) proj_loss: -0.5972 (-0.5994) time: 0.3629 data: 0.0003 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.757 (6.787) Lt: 6.061 (6.073) Accm: 2.67 (2.63) Acct: 4.32 (4.13) proj_loss: -0.5927 (-0.5968) time: 0.3641 data: 0.0015 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.718 (6.735) Lt: 6.052 (6.057) Accm: 2.86 (2.75) Acct: 4.34 (4.15) proj_loss: -0.5994 (-0.6026) time: 0.3642 data: 0.0017 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.648 (6.669) Lt: 5.945 (5.982) Accm: 2.83 (2.94) Acct: 4.53 (4.59) proj_loss: -0.6107 (-0.6043) time: 0.3642 data: 0.0016 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.727 (6.708) Lt: 6.029 (6.008) Accm: 2.82 (2.92) Acct: 4.55 (4.56) proj_loss: -0.5984 (-0.5958) time: 0.3642 data: 0.0020 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:27:03] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.725 (6.734), Lt: 6.019 (6.031), Acc m&t: 2.80 4.39, Remain: 1 day, 0:07:07, Finish: 2024-11-24 11:34 [11-24 03:27:03] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.725 (6.734), Lt: 6.019 (6.031), Acc m&t: 2.80 4.39, Remain: 1 day, 0:07:44, Finish: 2024-11-24 11:34 [11-24 03:27:03] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.725 (6.734), Lt: 6.019 (6.031), Acc m&t: 2.80 4.39, Remain: 1 day, 0:06:58, Finish: 2024-11-24 11:34 [11-24 03:27:03] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.725 (6.734), Lt: 6.019 (6.031), Acc m&t: 2.80 4.39, Remain: 1 day, 0:07:20, Finish: 2024-11-24 11:34 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:43 tlr: 0.00011 tnm: 0.45 Lm: 6.602 (6.602) Lt: 5.899 (5.899) Accm: 3.18 (3.18) Acct: 5.04 (5.04) proj_loss: -0.6049 (-0.6049) time: 0.3495 data: 0.0003 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:43 tlr: 0.00011 tnm: 0.45 Lm: 6.701 (6.701) Lt: 6.001 (6.001) Accm: 2.74 (2.74) Acct: 4.29 (4.29) proj_loss: -0.6119 (-0.6119) time: 0.3497 data: 0.0003 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:43 tlr: 0.00011 tnm: 0.45 Lm: 6.682 (6.682) Lt: 6.012 (6.012) Accm: 2.86 (2.86) Acct: 4.49 (4.49) proj_loss: -0.5945 (-0.5945) time: 0.3497 data: 0.0004 [11-24 03:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:42 tlr: 0.00011 tnm: 0.45 Lm: 6.784 (6.784) Lt: 6.080 (6.080) Accm: 2.55 (2.55) Acct: 3.98 (3.98) proj_loss: -0.5979 (-0.5979) time: 0.3490 data: 0.0004 [11-24 03:29:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.46 Lm: 6.754 (6.754) Lt: 6.089 (6.089) Accm: 2.73 (2.73) Acct: 4.21 (4.21) proj_loss: -0.6061 (-0.6061) time: 0.3615 data: 0.0003 [11-24 03:29:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.46 Lm: 6.610 (6.610) Lt: 5.892 (5.892) Accm: 3.18 (3.18) Acct: 5.13 (5.13) proj_loss: -0.5965 (-0.5965) time: 0.3615 data: 0.0003 [11-24 03:29:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.46 Lm: 6.716 (6.716) Lt: 6.009 (6.009) Accm: 2.79 (2.79) Acct: 4.35 (4.35) proj_loss: -0.6084 (-0.6084) time: 0.3614 data: 0.0002 [11-24 03:29:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.46 Lm: 6.658 (6.658) Lt: 5.967 (5.967) Accm: 2.90 (2.90) Acct: 4.58 (4.58) proj_loss: -0.5978 (-0.5978) time: 0.3614 data: 0.0003 [11-24 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.647 (6.654) Lt: 5.922 (5.951) Accm: 2.88 (2.90) Acct: 4.58 (4.58) proj_loss: -0.5945 (-0.5927) time: 0.3632 data: 0.0003 [11-24 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.619 (6.675) Lt: 5.899 (5.965) Accm: 3.18 (2.96) Acct: 5.04 (4.76) proj_loss: -0.5922 (-0.5951) time: 0.3632 data: 0.0003 [11-24 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.731 (6.775) Lt: 6.017 (6.076) Accm: 2.74 (2.70) Acct: 4.29 (4.22) proj_loss: -0.6049 (-0.6036) time: 0.3632 data: 0.0003 [11-24 03:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.784 (6.803) Lt: 6.099 (6.130) Accm: 2.55 (2.62) Acct: 3.98 (4.09) proj_loss: -0.6000 (-0.6040) time: 0.3632 data: 0.0003 [11-24 03:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.789 (6.801) Lt: 6.096 (6.120) Accm: 2.59 (2.62) Acct: 4.08 (4.12) proj_loss: -0.5994 (-0.6027) time: 0.4074 data: 0.0003 [11-24 03:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.610 (6.623) Lt: 5.892 (5.910) Accm: 3.18 (3.14) Acct: 5.13 (4.97) proj_loss: -0.5944 (-0.5955) time: 0.4074 data: 0.0003 [11-24 03:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.716 (6.748) Lt: 6.009 (6.052) Accm: 2.79 (2.88) Acct: 4.35 (4.49) proj_loss: -0.5995 (-0.6008) time: 0.4074 data: 0.0002 [11-24 03:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.45 Lm: 6.665 (6.687) Lt: 5.967 (5.985) Accm: 2.87 (2.86) Acct: 4.54 (4.47) proj_loss: -0.5978 (-0.5948) time: 0.4074 data: 0.0003 [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.48 Lm: 6.682 (6.723) Lt: 6.012 (6.029) Accm: 2.86 (2.80) Acct: 4.49 (4.37) proj_loss: -0.5949 (-0.5948) time: 0.4055 data: 0.0019 [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:10 (0.366 s / it) [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.48 Lm: 6.619 (6.654) Lt: 5.899 (5.936) Accm: 3.18 (3.06) Acct: 5.04 (4.82) proj_loss: -0.5922 (-0.5944) time: 0.4055 data: 0.0015 [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.48 Lm: 6.701 (6.727) Lt: 6.001 (6.021) Accm: 2.83 (2.92) Acct: 4.41 (4.52) proj_loss: -0.6049 (-0.6033) time: 0.4055 data: 0.0016 [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.48 Lm: 6.784 (6.791) Lt: 6.093 (6.094) Accm: 2.63 (2.66) Acct: 4.18 (4.16) proj_loss: -0.5988 (-0.5992) time: 0.4055 data: 0.0018 [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:10 (0.366 s / it) [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:10 (0.366 s / it) [11-24 03:37:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:10 (0.366 s / it) [11-24 03:37:13] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.725 (6.732), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 1 day, 0:03:50, Finish: 2024-11-24 11:41 [11-24 03:37:13] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.725 (6.732), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 1 day, 0:04:08, Finish: 2024-11-24 11:41 [11-24 03:37:13] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.725 (6.732), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 1 day, 0:03:56, Finish: 2024-11-24 11:41 [11-24 03:37:13] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.725 (6.732), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 1 day, 0:04:02, Finish: 2024-11-24 11:41 [11-24 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:34 tlr: 0.00011 tnm: 0.45 Lm: 6.787 (6.787) Lt: 6.113 (6.113) Accm: 2.58 (2.58) Acct: 3.93 (3.93) proj_loss: -0.6083 (-0.6083) time: 0.3442 data: 0.0003 [11-24 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:36 tlr: 0.00011 tnm: 0.45 Lm: 6.723 (6.723) Lt: 6.017 (6.017) Accm: 2.69 (2.69) Acct: 4.29 (4.29) proj_loss: -0.6055 (-0.6055) time: 0.3451 data: 0.0003 [11-24 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:32 tlr: 0.00011 tnm: 0.45 Lm: 6.663 (6.663) Lt: 6.001 (6.001) Accm: 3.26 (3.26) Acct: 4.91 (4.91) proj_loss: -0.5903 (-0.5903) time: 0.3430 data: 0.0004 [11-24 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:36 tlr: 0.00011 tnm: 0.45 Lm: 6.809 (6.809) Lt: 6.111 (6.111) Accm: 2.62 (2.62) Acct: 3.91 (3.91) proj_loss: -0.5934 (-0.5934) time: 0.3456 data: 0.0003 [11-24 03:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.44 Lm: 6.793 (6.793) Lt: 6.077 (6.077) Accm: 2.71 (2.71) Acct: 4.30 (4.30) proj_loss: -0.5910 (-0.5910) time: 0.4103 data: 0.0002 [11-24 03:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.44 Lm: 6.721 (6.721) Lt: 6.029 (6.029) Accm: 2.87 (2.87) Acct: 4.31 (4.31) proj_loss: -0.6085 (-0.6085) time: 0.4103 data: 0.0003 [11-24 03:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.44 Lm: 6.672 (6.672) Lt: 5.937 (5.937) Accm: 2.93 (2.93) Acct: 4.60 (4.60) proj_loss: -0.5951 (-0.5951) time: 0.4103 data: 0.0003 [11-24 03:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.44 Lm: 6.651 (6.651) Lt: 5.985 (5.985) Accm: 3.18 (3.18) Acct: 4.90 (4.90) proj_loss: -0.5971 (-0.5971) time: 0.4103 data: 0.0003 [11-24 03:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.46 Lm: 6.663 (6.701) Lt: 6.001 (6.016) Accm: 3.10 (2.98) Acct: 4.89 (4.66) proj_loss: -0.5942 (-0.5962) time: 0.3622 data: 0.0003 [11-24 03:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.46 Lm: 6.656 (6.686) Lt: 5.946 (5.973) Accm: 2.78 (2.84) Acct: 4.32 (4.32) proj_loss: -0.6083 (-0.5978) time: 0.3622 data: 0.0003 [11-24 03:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.46 Lm: 6.809 (6.819) Lt: 6.111 (6.127) Accm: 2.62 (2.62) Acct: 3.91 (4.12) proj_loss: -0.5934 (-0.5959) time: 0.3622 data: 0.0003 [11-24 03:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:20 tlr: 0.00011 tnm: 0.46 Lm: 6.723 (6.701) Lt: 6.017 (5.968) Accm: 2.69 (2.79) Acct: 4.29 (4.45) proj_loss: -0.5958 (-0.5953) time: 0.3622 data: 0.0003 [11-24 03:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.45 Lm: 6.700 (6.695) Lt: 5.988 (5.966) Accm: 2.75 (2.80) Acct: 4.23 (4.38) proj_loss: -0.5958 (-0.5955) time: 0.3597 data: 0.0006 [11-24 03:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.45 Lm: 6.720 (6.711) Lt: 6.029 (6.016) Accm: 2.68 (2.76) Acct: 4.12 (4.18) proj_loss: -0.6076 (-0.6001) time: 0.3597 data: 0.0003 [11-24 03:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.45 Lm: 6.711 (6.715) Lt: 6.040 (6.043) Accm: 2.96 (2.94) Acct: 4.65 (4.60) proj_loss: -0.5975 (-0.5973) time: 0.3597 data: 0.0003 [11-24 03:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.45 Lm: 6.821 (6.822) Lt: 6.123 (6.129) Accm: 2.58 (2.60) Acct: 4.01 (4.12) proj_loss: -0.5928 (-0.5950) time: 0.3597 data: 0.0003 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.834 (6.830) Lt: 6.135 (6.138) Accm: 2.55 (2.58) Acct: 3.91 (4.08) proj_loss: -0.5934 (-0.5960) time: 0.3654 data: 0.0018 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:25 (0.375 s / it) [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.784 (6.733) Lt: 6.113 (6.039) Accm: 2.58 (2.70) Acct: 3.93 (4.08) proj_loss: -0.6083 (-0.6024) time: 0.3654 data: 0.0021 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.677 (6.684) Lt: 5.959 (5.953) Accm: 2.80 (2.84) Acct: 4.29 (4.48) proj_loss: -0.5959 (-0.6002) time: 0.3654 data: 0.0021 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.758 (6.738) Lt: 6.078 (6.065) Accm: 2.81 (2.86) Acct: 4.41 (4.43) proj_loss: -0.5942 (-0.5957) time: 0.3653 data: 0.0018 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:25 (0.375 s / it) [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:25 (0.375 s / it) [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:25 (0.375 s / it) [11-24 03:47:39] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.725 (6.744), Lt: 6.019 (6.044), Acc m&t: 2.80 4.39, Remain: 1 day, 0:03:35, Finish: 2024-11-24 11:51 [11-24 03:47:39] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.725 (6.744), Lt: 6.019 (6.044), Acc m&t: 2.80 4.39, Remain: 23:59:50, Finish: 2024-11-24 11:47 [11-24 03:47:39] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.725 (6.744), Lt: 6.019 (6.044), Acc m&t: 2.80 4.39, Remain: 1 day, 0:03:11, Finish: 2024-11-24 11:50 [11-24 03:47:39] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.725 (6.744), Lt: 6.019 (6.044), Acc m&t: 2.80 4.39, Remain: 1 day, 0:02:05, Finish: 2024-11-24 11:49 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:10:10 tlr: 0.00011 tnm: 0.45 Lm: 6.636 (6.636) Lt: 5.919 (5.919) Accm: 3.08 (3.08) Acct: 4.73 (4.73) proj_loss: -0.6159 (-0.6159) time: 0.3655 data: 0.0004 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:10:10 tlr: 0.00011 tnm: 0.45 Lm: 6.783 (6.783) Lt: 6.043 (6.043) Accm: 2.54 (2.54) Acct: 4.20 (4.20) proj_loss: -0.5758 (-0.5758) time: 0.3656 data: 0.0003 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:10:10 tlr: 0.00011 tnm: 0.45 Lm: 6.708 (6.708) Lt: 5.988 (5.988) Accm: 3.02 (3.02) Acct: 4.82 (4.82) proj_loss: -0.6057 (-0.6057) time: 0.3660 data: 0.0004 [11-24 03:47:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.45 Lm: 6.738 (6.738) Lt: 6.061 (6.061) Accm: 2.56 (2.56) Acct: 3.77 (3.77) proj_loss: -0.5997 (-0.5997) time: 0.3683 data: 0.0003 [11-24 03:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.757 (6.757) Lt: 6.042 (6.042) Accm: 2.69 (2.69) Acct: 4.28 (4.28) proj_loss: -0.5875 (-0.5875) time: 0.3629 data: 0.0003 [11-24 03:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.732 (6.732) Lt: 6.021 (6.021) Accm: 2.94 (2.94) Acct: 4.61 (4.61) proj_loss: -0.6050 (-0.6050) time: 0.3629 data: 0.0002 [11-24 03:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.773 (6.773) Lt: 6.043 (6.043) Accm: 2.66 (2.66) Acct: 4.38 (4.38) proj_loss: -0.5831 (-0.5831) time: 0.3629 data: 0.0003 [11-24 03:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:34 tlr: 0.00011 tnm: 0.44 Lm: 6.700 (6.700) Lt: 5.996 (5.996) Accm: 2.86 (2.86) Acct: 4.43 (4.43) proj_loss: -0.6098 (-0.6098) time: 0.3629 data: 0.0003 [11-24 03:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.46 Lm: 6.670 (6.690) Lt: 5.984 (5.992) Accm: 2.76 (2.83) Acct: 4.34 (4.40) proj_loss: -0.6037 (-0.6056) time: 0.3634 data: 0.0003 [11-24 03:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.46 Lm: 6.783 (6.782) Lt: 6.043 (6.072) Accm: 2.54 (2.54) Acct: 4.20 (4.13) proj_loss: -0.5903 (-0.5910) time: 0.3634 data: 0.0003 [11-24 03:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.46 Lm: 6.708 (6.679) Lt: 5.988 (5.972) Accm: 3.02 (3.07) Acct: 4.82 (4.87) proj_loss: -0.6044 (-0.6000) time: 0.3634 data: 0.0003 [11-24 03:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.46 Lm: 6.738 (6.720) Lt: 6.024 (6.003) Accm: 2.82 (2.76) Acct: 4.61 (4.39) proj_loss: -0.5861 (-0.5870) time: 0.3634 data: 0.0003 [11-24 03:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.713 (6.712) Lt: 5.974 (5.982) Accm: 2.86 (2.80) Acct: 4.58 (4.43) proj_loss: -0.5902 (-0.5888) time: 0.3613 data: 0.0003 [11-24 03:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.773 (6.755) Lt: 6.043 (6.035) Accm: 2.66 (2.64) Acct: 4.38 (4.26) proj_loss: -0.5901 (-0.5908) time: 0.3613 data: 0.0003 [11-24 03:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.716 (6.728) Lt: 6.028 (6.034) Accm: 2.70 (2.73) Acct: 4.24 (4.26) proj_loss: -0.6004 (-0.6006) time: 0.3613 data: 0.0003 [11-24 03:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.732 (6.706) Lt: 6.021 (5.994) Accm: 2.94 (3.02) Acct: 4.61 (4.76) proj_loss: -0.5972 (-0.5935) time: 0.3613 data: 0.0003 [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.708 (6.703) Lt: 5.988 (5.990) Accm: 3.02 (3.04) Acct: 4.77 (4.76) proj_loss: -0.5900 (-0.5922) time: 0.3641 data: 0.0032 [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.783 (6.770) Lt: 6.043 (6.043) Accm: 2.54 (2.61) Acct: 4.25 (4.26) proj_loss: -0.5903 (-0.5910) time: 0.3641 data: 0.0016 [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.703 (6.723) Lt: 5.984 (6.022) Accm: 2.72 (2.73) Acct: 4.34 (4.30) proj_loss: -0.5971 (-0.5983) time: 0.3641 data: 0.0018 [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.692 (6.708) Lt: 5.968 (5.979) Accm: 2.89 (2.83) Acct: 4.61 (4.51) proj_loss: -0.5861 (-0.5878) time: 0.3641 data: 0.0017 [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:06 (0.364 s / it) [11-24 03:59:59] (home/user/VAR/trainer.py, line 114)=> FID: 4.188360748028117 [11-24 04:00:00] (/home/user/VAR/train.py , line 259)=> [*] [ep209] (val 50000) Lm: 6.7357, Lt: 6.0282, Acc m&t: 2.77 4.35, Val cost: 133.18s [11-24 04:00:00] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 04:00:13] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 23:39:30, Finish: 2024-11-24 11:37 [11-24 04:00:13] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 23:39:40, Finish: 2024-11-24 11:37 [11-24 04:00:13] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 23:40:17, Finish: 2024-11-24 11:38 [11-24 04:00:13] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.725 (6.736), Lt: 6.019 (6.028), Acc m&t: 2.80 4.39, Remain: 23:39:52, Finish: 2024-11-24 11:37 [11-24 04:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:10:10 tlr: 0.0001 tnm: 0.44 Lm: 6.827 (6.827) Lt: 6.167 (6.167) Accm: 2.48 (2.48) Acct: 3.74 (3.74) proj_loss: -0.5918 (-0.5918) time: 0.3658 data: 0.0004 [11-24 04:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:10:01 tlr: 0.0001 tnm: 0.44 Lm: 6.785 (6.785) Lt: 6.082 (6.082) Accm: 2.56 (2.56) Acct: 4.06 (4.06) proj_loss: -0.5965 (-0.5965) time: 0.3604 data: 0.0004 [11-24 04:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:10:01 tlr: 0.0001 tnm: 0.44 Lm: 6.867 (6.867) Lt: 6.224 (6.224) Accm: 2.66 (2.66) Acct: 4.06 (4.06) proj_loss: -0.6043 (-0.6043) time: 0.3606 data: 0.0004 [11-24 04:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:10:02 tlr: 0.0001 tnm: 0.44 Lm: 6.752 (6.752) Lt: 6.012 (6.012) Accm: 2.86 (2.86) Acct: 4.68 (4.68) proj_loss: -0.6008 (-0.6008) time: 0.3609 data: 0.0004 [11-24 04:02:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.698 (6.698) Lt: 5.968 (5.968) Accm: 2.79 (2.79) Acct: 4.55 (4.55) proj_loss: -0.5954 (-0.5954) time: 0.3619 data: 0.0003 [11-24 04:02:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.860 (6.860) Lt: 6.198 (6.198) Accm: 2.53 (2.53) Acct: 3.91 (3.91) proj_loss: -0.5877 (-0.5877) time: 0.3619 data: 0.0002 [11-24 04:02:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.788 (6.788) Lt: 6.104 (6.104) Accm: 2.81 (2.81) Acct: 4.43 (4.43) proj_loss: -0.6003 (-0.6003) time: 0.3619 data: 0.0003 [11-24 04:02:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.798 (6.798) Lt: 6.098 (6.098) Accm: 2.57 (2.57) Acct: 4.04 (4.04) proj_loss: -0.5986 (-0.5986) time: 0.3619 data: 0.0002 [11-24 04:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.46 Lm: 6.785 (6.788) Lt: 6.082 (6.088) Accm: 2.58 (2.65) Acct: 4.06 (4.21) proj_loss: -0.6006 (-0.6007) time: 0.3601 data: 0.0003 [11-24 04:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.46 Lm: 6.827 (6.836) Lt: 6.167 (6.155) Accm: 2.58 (2.56) Acct: 4.08 (3.99) proj_loss: -0.5918 (-0.5941) time: 0.3601 data: 0.0003 [11-24 04:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.46 Lm: 6.654 (6.683) Lt: 5.996 (5.977) Accm: 2.86 (2.83) Acct: 4.49 (4.53) proj_loss: -0.6008 (-0.6043) time: 0.3600 data: 0.0003 [11-24 04:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.46 Lm: 6.710 (6.758) Lt: 5.994 (6.067) Accm: 2.66 (2.72) Acct: 4.06 (4.21) proj_loss: -0.5963 (-0.5952) time: 0.3601 data: 0.0003 [11-24 04:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.47 Lm: 6.704 (6.734) Lt: 5.994 (6.049) Accm: 2.81 (2.82) Acct: 4.42 (4.35) proj_loss: -0.6003 (-0.5991) time: 0.3621 data: 0.0003 [11-24 04:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.47 Lm: 6.807 (6.799) Lt: 6.118 (6.110) Accm: 2.60 (2.70) Acct: 4.12 (4.23) proj_loss: -0.5945 (-0.5948) time: 0.3621 data: 0.0003 [11-24 04:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.47 Lm: 6.684 (6.691) Lt: 6.001 (5.985) Accm: 2.79 (2.80) Acct: 4.45 (4.50) proj_loss: -0.6114 (-0.6108) time: 0.3621 data: 0.0003 [11-24 04:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.47 Lm: 6.776 (6.766) Lt: 6.075 (6.065) Accm: 2.69 (2.73) Acct: 4.30 (4.30) proj_loss: -0.5986 (-0.5967) time: 0.3621 data: 0.0002 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.768 (6.754) Lt: 6.068 (6.047) Accm: 2.80 (2.80) Acct: 4.55 (4.38) proj_loss: -0.5965 (-0.5961) time: 0.3669 data: 0.0016 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:14 (0.368 s / it) [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.787 (6.772) Lt: 6.070 (6.074) Accm: 2.63 (2.74) Acct: 4.15 (4.31) proj_loss: -0.5918 (-0.5914) time: 0.3669 data: 0.0019 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.710 (6.734) Lt: 5.994 (6.051) Accm: 2.67 (2.79) Acct: 4.30 (4.34) proj_loss: -0.6043 (-0.6020) time: 0.3668 data: 0.0021 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.713 (6.722) Lt: 6.006 (6.018) Accm: 2.72 (2.71) Acct: 4.41 (4.35) proj_loss: -0.6008 (-0.6046) time: 0.3669 data: 0.0015 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:14 (0.368 s / it) [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:14 (0.368 s / it) [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:14 (0.368 s / it) [11-24 04:10:28] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.725 (6.740), Lt: 6.019 (6.034), Acc m&t: 2.80 4.39, Remain: 23:46:41, Finish: 2024-11-24 11:57 [11-24 04:10:28] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.725 (6.740), Lt: 6.019 (6.034), Acc m&t: 2.80 4.39, Remain: 23:46:49, Finish: 2024-11-24 11:57 [11-24 04:10:28] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.725 (6.740), Lt: 6.019 (6.034), Acc m&t: 2.80 4.39, Remain: 23:46:55, Finish: 2024-11-24 11:57 [11-24 04:10:28] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.725 (6.740), Lt: 6.019 (6.034), Acc m&t: 2.80 4.39, Remain: 23:46:20, Finish: 2024-11-24 11:56 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:09:29 tlr: 0.0001 tnm: 0.45 Lm: 6.679 (6.679) Lt: 5.971 (5.971) Accm: 2.54 (2.54) Acct: 3.89 (3.89) proj_loss: -0.5771 (-0.5771) time: 0.3412 data: 0.0004 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:09:43 tlr: 0.0001 tnm: 0.45 Lm: 6.723 (6.723) Lt: 6.013 (6.013) Accm: 2.56 (2.56) Acct: 3.81 (3.81) proj_loss: -0.6071 (-0.6071) time: 0.3495 data: 0.0004 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:09:33 tlr: 0.0001 tnm: 0.45 Lm: 6.656 (6.656) Lt: 5.961 (5.961) Accm: 3.03 (3.03) Acct: 4.79 (4.79) proj_loss: -0.5931 (-0.5931) time: 0.3435 data: 0.0004 [11-24 04:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:09:32 tlr: 0.0001 tnm: 0.45 Lm: 6.693 (6.693) Lt: 5.948 (5.948) Accm: 2.84 (2.84) Acct: 4.67 (4.67) proj_loss: -0.5945 (-0.5945) time: 0.3431 data: 0.0004 [11-24 04:13:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:51 tlr: 0.0001 tnm: 0.45 Lm: 6.729 (6.729) Lt: 6.021 (6.021) Accm: 2.78 (2.78) Acct: 4.29 (4.29) proj_loss: -0.5992 (-0.5992) time: 0.3639 data: 0.0003 [11-24 04:13:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:51 tlr: 0.0001 tnm: 0.45 Lm: 6.705 (6.705) Lt: 5.990 (5.990) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: -0.6001 (-0.6001) time: 0.3639 data: 0.0003 [11-24 04:13:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:51 tlr: 0.0001 tnm: 0.45 Lm: 6.693 (6.693) Lt: 5.981 (5.981) Accm: 2.88 (2.88) Acct: 4.45 (4.45) proj_loss: -0.5980 (-0.5980) time: 0.3639 data: 0.0003 [11-24 04:13:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:51 tlr: 0.0001 tnm: 0.45 Lm: 6.742 (6.742) Lt: 6.044 (6.044) Accm: 2.60 (2.60) Acct: 3.90 (3.90) proj_loss: -0.5915 (-0.5915) time: 0.3639 data: 0.0003 [11-24 04:15:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.797 (6.761) Lt: 6.047 (6.045) Accm: 2.54 (2.57) Acct: 3.91 (3.95) proj_loss: -0.5980 (-0.5937) time: 0.3598 data: 0.0003 [11-24 04:15:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.723 (6.764) Lt: 6.013 (6.071) Accm: 2.56 (2.61) Acct: 3.81 (3.99) proj_loss: -0.5930 (-0.5923) time: 0.3598 data: 0.0003 [11-24 04:15:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.765 (6.781) Lt: 6.094 (6.079) Accm: 2.72 (2.57) Acct: 3.91 (4.04) proj_loss: -0.5953 (-0.5979) time: 0.3599 data: 0.0003 [11-24 04:15:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.731 (6.737) Lt: 6.001 (6.044) Accm: 2.74 (2.74) Acct: 4.12 (4.16) proj_loss: -0.6029 (-0.6035) time: 0.3598 data: 0.0003 [11-24 04:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:37 tlr: 0.0001 tnm: 0.45 Lm: 6.778 (6.765) Lt: 6.086 (6.081) Accm: 2.60 (2.64) Acct: 3.87 (4.02) proj_loss: -0.6004 (-0.6021) time: 0.4067 data: 0.0003 [11-24 04:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:37 tlr: 0.0001 tnm: 0.45 Lm: 6.729 (6.712) Lt: 6.021 (6.006) Accm: 2.78 (2.77) Acct: 4.29 (4.33) proj_loss: -0.5954 (-0.5973) time: 0.4067 data: 0.0003 [11-24 04:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:37 tlr: 0.0001 tnm: 0.45 Lm: 6.705 (6.742) Lt: 5.990 (6.031) Accm: 2.67 (2.69) Acct: 4.13 (4.19) proj_loss: -0.5848 (-0.5866) time: 0.4067 data: 0.0003 [11-24 04:18:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:37 tlr: 0.0001 tnm: 0.45 Lm: 6.765 (6.754) Lt: 6.053 (6.048) Accm: 2.60 (2.60) Acct: 3.99 (4.04) proj_loss: -0.5992 (-0.5954) time: 0.4067 data: 0.0003 [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.797 (6.787) Lt: 6.059 (6.096) Accm: 2.54 (2.54) Acct: 3.91 (3.88) proj_loss: -0.5984 (-0.5960) time: 0.3642 data: 0.0016 [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:23 (0.374 s / it) [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.693 (6.696) Lt: 5.948 (5.986) Accm: 2.81 (2.78) Acct: 4.37 (4.34) proj_loss: -0.5953 (-0.5941) time: 0.3642 data: 0.0017 [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.687 (6.705) Lt: 5.968 (5.994) Accm: 2.78 (2.80) Acct: 4.46 (4.37) proj_loss: -0.5930 (-0.5933) time: 0.3642 data: 0.0018 [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.731 (6.736) Lt: 6.001 (6.051) Accm: 2.74 (2.72) Acct: 4.12 (4.14) proj_loss: -0.5980 (-0.5998) time: 0.3642 data: 0.0020 [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:23 (0.374 s / it) [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:23 (0.374 s / it) [11-24 04:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:23 (0.374 s / it) [11-24 04:20:51] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.725 (6.741), Lt: 6.019 (6.039), Acc m&t: 2.80 4.39, Remain: 23:21:49, Finish: 2024-11-24 11:42 [11-24 04:20:51] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.725 (6.741), Lt: 6.019 (6.039), Acc m&t: 2.80 4.39, Remain: 23:22:34, Finish: 2024-11-24 11:43 [11-24 04:20:51] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.725 (6.741), Lt: 6.019 (6.039), Acc m&t: 2.80 4.39, Remain: 23:21:45, Finish: 2024-11-24 11:42 [11-24 04:20:51] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.725 (6.741), Lt: 6.019 (6.039), Acc m&t: 2.80 4.39, Remain: 23:22:00, Finish: 2024-11-24 11:42 [11-24 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:09:49 tlr: 0.0001 tnm: 0.43 Lm: 6.685 (6.685) Lt: 5.939 (5.939) Accm: 2.94 (2.94) Acct: 4.77 (4.77) proj_loss: -0.6034 (-0.6034) time: 0.3532 data: 0.0004 [11-24 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:09:50 tlr: 0.0001 tnm: 0.43 Lm: 6.791 (6.791) Lt: 6.085 (6.085) Accm: 2.37 (2.37) Acct: 3.67 (3.67) proj_loss: -0.5778 (-0.5778) time: 0.3536 data: 0.0003 [11-24 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:09:50 tlr: 0.0001 tnm: 0.43 Lm: 6.689 (6.689) Lt: 5.983 (5.983) Accm: 2.85 (2.85) Acct: 4.42 (4.42) proj_loss: -0.5966 (-0.5966) time: 0.3540 data: 0.0003 [11-24 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:09:51 tlr: 0.0001 tnm: 0.43 Lm: 6.727 (6.727) Lt: 5.978 (5.978) Accm: 2.86 (2.86) Acct: 4.27 (4.27) proj_loss: -0.6007 (-0.6007) time: 0.3541 data: 0.0004 [11-24 04:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.47 Lm: 6.686 (6.686) Lt: 5.954 (5.954) Accm: 3.07 (3.07) Acct: 4.67 (4.67) proj_loss: -0.5948 (-0.5948) time: 0.3646 data: 0.0003 [11-24 04:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.47 Lm: 6.800 (6.800) Lt: 6.125 (6.125) Accm: 2.46 (2.46) Acct: 3.92 (3.92) proj_loss: -0.5860 (-0.5860) time: 0.3646 data: 0.0003 [11-24 04:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.47 Lm: 6.690 (6.690) Lt: 5.968 (5.968) Accm: 2.87 (2.87) Acct: 4.49 (4.49) proj_loss: -0.5888 (-0.5888) time: 0.3646 data: 0.0003 [11-24 04:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.47 Lm: 6.669 (6.669) Lt: 5.943 (5.943) Accm: 2.95 (2.95) Acct: 4.68 (4.68) proj_loss: -0.6001 (-0.6001) time: 0.3646 data: 0.0003 [11-24 04:25:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.43 Lm: 6.652 (6.643) Lt: 5.939 (5.933) Accm: 2.96 (3.02) Acct: 4.77 (4.74) proj_loss: -0.5968 (-0.5915) time: 0.3636 data: 0.0003 [11-24 04:25:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.43 Lm: 6.791 (6.776) Lt: 6.085 (6.091) Accm: 2.54 (2.52) Acct: 4.17 (4.01) proj_loss: -0.5778 (-0.5822) time: 0.3636 data: 0.0003 [11-24 04:25:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.43 Lm: 6.692 (6.725) Lt: 5.983 (6.017) Accm: 2.85 (2.75) Acct: 4.42 (4.24) proj_loss: -0.5952 (-0.5909) time: 0.3636 data: 0.0003 [11-24 04:25:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.43 Lm: 6.727 (6.704) Lt: 5.978 (5.983) Accm: 2.86 (2.98) Acct: 4.61 (4.65) proj_loss: -0.5906 (-0.5934) time: 0.3636 data: 0.0003 [11-24 04:28:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.722 (6.707) Lt: 6.009 (5.997) Accm: 2.84 (2.93) Acct: 4.48 (4.57) proj_loss: -0.5942 (-0.5945) time: 0.4113 data: 0.0003 [11-24 04:28:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.759 (6.761) Lt: 6.054 (6.072) Accm: 2.60 (2.64) Acct: 4.18 (4.22) proj_loss: -0.5830 (-0.5837) time: 0.4113 data: 0.0003 [11-24 04:28:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.639 (6.639) Lt: 5.926 (5.925) Accm: 2.95 (2.99) Acct: 4.68 (4.67) proj_loss: -0.6001 (-0.5946) time: 0.4113 data: 0.0003 [11-24 04:28:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.45 Lm: 6.690 (6.682) Lt: 5.968 (5.968) Accm: 2.87 (2.91) Acct: 4.49 (4.55) proj_loss: -0.5959 (-0.5948) time: 0.4113 data: 0.0003 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.48 Lm: 6.692 (6.696) Lt: 5.983 (5.987) Accm: 2.85 (2.84) Acct: 4.42 (4.40) proj_loss: -0.5952 (-0.5932) time: 0.3648 data: 0.0020 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:07 (0.364 s / it) [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.48 Lm: 6.728 (6.743) Lt: 6.024 (6.056) Accm: 2.65 (2.66) Acct: 4.20 (4.25) proj_loss: -0.5830 (-0.5836) time: 0.3648 data: 0.0021 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.48 Lm: 6.727 (6.742) Lt: 6.040 (6.035) Accm: 2.82 (2.81) Acct: 4.34 (4.42) proj_loss: -0.5906 (-0.5934) time: 0.3648 data: 0.0017 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.48 Lm: 6.652 (6.690) Lt: 5.939 (5.982) Accm: 2.94 (2.87) Acct: 4.60 (4.51) proj_loss: -0.5968 (-0.5904) time: 0.3648 data: 0.0018 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:07 (0.364 s / it) [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:07 (0.364 s / it) [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:07 (0.364 s / it) [11-24 04:30:59] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:18:16, Finish: 2024-11-24 11:49 [11-24 04:30:59] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:18:28, Finish: 2024-11-24 11:49 [11-24 04:30:59] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:17:44, Finish: 2024-11-24 11:48 [11-24 04:30:59] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:18:02, Finish: 2024-11-24 11:49 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:43 tlr: 0.0001 tnm: 0.45 Lm: 6.830 (6.830) Lt: 6.177 (6.177) Accm: 2.51 (2.51) Acct: 3.98 (3.98) proj_loss: -0.5944 (-0.5944) time: 0.3494 data: 0.0004 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:43 tlr: 0.0001 tnm: 0.45 Lm: 6.819 (6.819) Lt: 6.158 (6.158) Accm: 2.47 (2.47) Acct: 3.84 (3.84) proj_loss: -0.6024 (-0.6024) time: 0.3495 data: 0.0004 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:42 tlr: 0.0001 tnm: 0.45 Lm: 6.837 (6.837) Lt: 6.091 (6.091) Accm: 2.45 (2.45) Acct: 4.10 (4.10) proj_loss: -0.5794 (-0.5794) time: 0.3492 data: 0.0004 [11-24 04:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:44 tlr: 0.0001 tnm: 0.45 Lm: 6.567 (6.567) Lt: 5.837 (5.837) Accm: 3.39 (3.39) Acct: 5.11 (5.11) proj_loss: -0.6072 (-0.6072) time: 0.3501 data: 0.0004 [11-24 04:33:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.684 (6.684) Lt: 5.978 (5.978) Accm: 2.84 (2.84) Acct: 4.37 (4.37) proj_loss: -0.6060 (-0.6060) time: 0.3657 data: 0.0003 [11-24 04:33:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.798 (6.798) Lt: 6.114 (6.114) Accm: 2.47 (2.47) Acct: 3.86 (3.86) proj_loss: -0.5972 (-0.5972) time: 0.3657 data: 0.0003 [11-24 04:33:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.777 (6.777) Lt: 6.080 (6.080) Accm: 2.71 (2.71) Acct: 4.40 (4.40) proj_loss: -0.5876 (-0.5876) time: 0.3657 data: 0.0003 [11-24 04:33:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.45 Lm: 6.784 (6.784) Lt: 6.109 (6.109) Accm: 2.60 (2.60) Acct: 4.03 (4.03) proj_loss: -0.5936 (-0.5936) time: 0.3657 data: 0.0003 [11-24 04:36:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:04 tlr: 0.0001 tnm: 0.45 Lm: 6.737 (6.758) Lt: 6.042 (6.078) Accm: 2.70 (2.68) Acct: 4.06 (4.04) proj_loss: -0.5944 (-0.5956) time: 0.4071 data: 0.0002 [11-24 04:36:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:04 tlr: 0.0001 tnm: 0.45 Lm: 6.776 (6.788) Lt: 6.069 (6.086) Accm: 2.47 (2.56) Acct: 3.87 (3.98) proj_loss: -0.6008 (-0.5984) time: 0.4071 data: 0.0003 [11-24 04:36:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:04 tlr: 0.0001 tnm: 0.45 Lm: 6.567 (6.635) Lt: 5.837 (5.910) Accm: 3.39 (3.03) Acct: 5.11 (4.73) proj_loss: -0.6048 (-0.6006) time: 0.4071 data: 0.0003 [11-24 04:36:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:04 tlr: 0.0001 tnm: 0.45 Lm: 6.837 (6.797) Lt: 6.091 (6.103) Accm: 2.45 (2.62) Acct: 4.10 (4.24) proj_loss: -0.5808 (-0.5853) time: 0.4071 data: 0.0002 [11-24 04:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.804 (6.790) Lt: 6.080 (6.093) Accm: 2.65 (2.68) Acct: 4.20 (4.25) proj_loss: -0.5883 (-0.5902) time: 0.3629 data: 0.0003 [11-24 04:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.773 (6.741) Lt: 6.050 (6.034) Accm: 2.60 (2.70) Acct: 4.05 (4.19) proj_loss: -0.6016 (-0.6013) time: 0.3629 data: 0.0003 [11-24 04:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.684 (6.681) Lt: 5.978 (5.971) Accm: 2.99 (2.92) Acct: 4.57 (4.56) proj_loss: -0.6026 (-0.6005) time: 0.3629 data: 0.0003 [11-24 04:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.771 (6.769) Lt: 6.084 (6.090) Accm: 2.66 (2.66) Acct: 4.05 (4.04) proj_loss: -0.5936 (-0.5939) time: 0.3629 data: 0.0002 [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.47 Lm: 6.737 (6.761) Lt: 6.042 (6.066) Accm: 2.70 (2.70) Acct: 4.06 (4.16) proj_loss: -0.5928 (-0.5937) time: 0.3671 data: 0.0020 [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it) [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.47 Lm: 6.769 (6.729) Lt: 6.031 (6.026) Accm: 2.74 (2.72) Acct: 4.22 (4.25) proj_loss: -0.6014 (-0.6013) time: 0.3671 data: 0.0020 [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.47 Lm: 6.801 (6.707) Lt: 6.119 (6.003) Accm: 2.64 (2.87) Acct: 4.37 (4.52) proj_loss: -0.6004 (-0.5996) time: 0.3671 data: 0.0021 [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.47 Lm: 6.837 (6.812) Lt: 6.091 (6.113) Accm: 2.45 (2.61) Acct: 4.10 (4.09) proj_loss: -0.5921 (-0.5905) time: 0.3671 data: 0.0018 [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it) [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it) [11-24 04:41:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it) [11-24 04:41:16] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 23:13:12, Finish: 2024-11-24 11:54 [11-24 04:41:16] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 23:12:08, Finish: 2024-11-24 11:53 [11-24 04:41:16] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 23:13:14, Finish: 2024-11-24 11:54 [11-24 04:41:16] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.39, Remain: 23:13:48, Finish: 2024-11-24 11:55 [11-24 04:41:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:47 tlr: 0.0001 tnm: 0.46 Lm: 6.778 (6.778) Lt: 6.040 (6.040) Accm: 2.62 (2.62) Acct: 4.37 (4.37) proj_loss: -0.5763 (-0.5763) time: 0.3522 data: 0.0003 [11-24 04:41:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.46 Lm: 6.756 (6.756) Lt: 6.030 (6.030) Accm: 2.93 (2.93) Acct: 4.73 (4.73) proj_loss: -0.5732 (-0.5732) time: 0.3524 data: 0.0004 [11-24 04:41:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.46 Lm: 6.807 (6.807) Lt: 6.065 (6.065) Accm: 2.50 (2.50) Acct: 4.10 (4.10) proj_loss: -0.6029 (-0.6029) time: 0.3527 data: 0.0004 [11-24 04:41:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.46 Lm: 6.887 (6.887) Lt: 6.231 (6.231) Accm: 2.42 (2.42) Acct: 3.93 (3.93) proj_loss: -0.5952 (-0.5952) time: 0.3527 data: 0.0003 [11-24 04:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:08:04 tlr: 0.0001 tnm: 0.45 Lm: 6.850 (6.850) Lt: 6.182 (6.182) Accm: 2.43 (2.43) Acct: 3.87 (3.87) proj_loss: -0.5892 (-0.5892) time: 0.4557 data: 0.0003 [11-24 04:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:08:04 tlr: 0.0001 tnm: 0.45 Lm: 6.773 (6.773) Lt: 6.069 (6.069) Accm: 2.63 (2.63) Acct: 4.24 (4.24) proj_loss: -0.5848 (-0.5848) time: 0.4557 data: 0.0003 [11-24 04:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:08:04 tlr: 0.0001 tnm: 0.45 Lm: 6.797 (6.797) Lt: 6.071 (6.071) Accm: 2.50 (2.50) Acct: 3.93 (3.93) proj_loss: -0.6025 (-0.6025) time: 0.4557 data: 0.0003 [11-24 04:43:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:08:04 tlr: 0.0001 tnm: 0.45 Lm: 6.762 (6.762) Lt: 6.067 (6.067) Accm: 2.71 (2.71) Acct: 4.24 (4.24) proj_loss: -0.5840 (-0.5840) time: 0.4557 data: 0.0003 [11-24 04:46:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.778 (6.799) Lt: 6.094 (6.108) Accm: 2.62 (2.64) Acct: 4.12 (4.18) proj_loss: -0.5917 (-0.5924) time: 0.4097 data: 0.0003 [11-24 04:46:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.756 (6.709) Lt: 6.030 (5.989) Accm: 2.93 (2.80) Acct: 4.73 (4.45) proj_loss: -0.5963 (-0.5955) time: 0.4097 data: 0.0003 [11-24 04:46:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.814 (6.740) Lt: 6.132 (6.048) Accm: 2.44 (2.79) Acct: 3.93 (4.41) proj_loss: -0.5952 (-0.5926) time: 0.4097 data: 0.0002 [11-24 04:46:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:17 tlr: 0.0001 tnm: 0.46 Lm: 6.786 (6.755) Lt: 6.065 (6.023) Accm: 2.51 (2.54) Acct: 4.10 (4.03) proj_loss: -0.6021 (-0.5952) time: 0.4097 data: 0.0003 [11-24 04:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.772 (6.755) Lt: 6.056 (6.029) Accm: 2.56 (2.65) Acct: 4.16 (4.20) proj_loss: -0.5964 (-0.5940) time: 0.3604 data: 0.0002 [11-24 04:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.850 (6.781) Lt: 6.182 (6.098) Accm: 2.43 (2.67) Acct: 3.87 (4.18) proj_loss: -0.5961 (-0.5937) time: 0.3604 data: 0.0003 [11-24 04:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.762 (6.750) Lt: 6.067 (6.058) Accm: 2.71 (2.77) Acct: 4.24 (4.33) proj_loss: -0.5846 (-0.5887) time: 0.3604 data: 0.0003 [11-24 04:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.738 (6.712) Lt: 5.998 (5.983) Accm: 3.00 (2.87) Acct: 4.81 (4.59) proj_loss: -0.6018 (-0.5984) time: 0.3604 data: 0.0003 [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.756 (6.733) Lt: 6.030 (6.005) Accm: 2.93 (2.78) Acct: 4.73 (4.43) proj_loss: -0.6038 (-0.5995) time: 0.3657 data: 0.0017 [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:21 (0.372 s / it) [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.814 (6.762) Lt: 6.132 (6.081) Accm: 2.44 (2.74) Acct: 3.93 (4.30) proj_loss: -0.5971 (-0.5948) time: 0.3657 data: 0.0020 [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.778 (6.772) Lt: 6.094 (6.084) Accm: 2.62 (2.73) Acct: 4.12 (4.27) proj_loss: -0.5917 (-0.5895) time: 0.3657 data: 0.0017 [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.786 (6.782) Lt: 6.065 (6.064) Accm: 2.51 (2.61) Acct: 4.10 (4.13) proj_loss: -0.5907 (-0.5918) time: 0.3657 data: 0.0019 [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:21 (0.372 s / it) [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:21 (0.372 s / it) [11-24 04:51:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:21 (0.372 s / it) [11-24 04:51:37] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:00:17, Finish: 2024-11-24 11:51 [11-24 04:51:37] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:00:52, Finish: 2024-11-24 11:52 [11-24 04:51:37] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:00:39, Finish: 2024-11-24 11:52 [11-24 04:51:37] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.029), Acc m&t: 2.80 4.39, Remain: 23:00:33, Finish: 2024-11-24 11:52 [11-24 04:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:09:54 tlr: 0.0001 tnm: 0.46 Lm: 6.673 (6.673) Lt: 5.961 (5.961) Accm: 3.01 (3.01) Acct: 4.42 (4.42) proj_loss: -0.5829 (-0.5829) time: 0.3560 data: 0.0003 [11-24 04:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:09:54 tlr: 0.0001 tnm: 0.46 Lm: 6.757 (6.757) Lt: 6.116 (6.116) Accm: 2.93 (2.93) Acct: 4.44 (4.44) proj_loss: -0.6141 (-0.6141) time: 0.3562 data: 0.0003 [11-24 04:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:09:55 tlr: 0.0001 tnm: 0.46 Lm: 6.887 (6.887) Lt: 6.268 (6.268) Accm: 2.51 (2.51) Acct: 3.81 (3.81) proj_loss: -0.6217 (-0.6217) time: 0.3567 data: 0.0004 [11-24 04:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:09:55 tlr: 0.0001 tnm: 0.46 Lm: 6.686 (6.686) Lt: 5.960 (5.960) Accm: 3.03 (3.03) Acct: 5.11 (5.11) proj_loss: -0.5995 (-0.5995) time: 0.3567 data: 0.0004 [11-24 04:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.725 (6.725) Lt: 5.996 (5.996) Accm: 2.91 (2.91) Acct: 4.89 (4.89) proj_loss: -0.6041 (-0.6041) time: 0.3637 data: 0.0003 [11-24 04:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.634 (6.634) Lt: 5.893 (5.893) Accm: 2.98 (2.98) Acct: 4.68 (4.68) proj_loss: -0.5891 (-0.5891) time: 0.3637 data: 0.0003 [11-24 04:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.807 (6.807) Lt: 6.147 (6.147) Accm: 2.50 (2.50) Acct: 3.99 (3.99) proj_loss: -0.6214 (-0.6214) time: 0.3637 data: 0.0003 [11-24 04:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.790 (6.790) Lt: 6.116 (6.116) Accm: 2.64 (2.64) Acct: 4.12 (4.12) proj_loss: -0.6108 (-0.6108) time: 0.3637 data: 0.0003 [11-24 04:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.45 Lm: 6.757 (6.757) Lt: 6.116 (6.063) Accm: 2.72 (2.67) Acct: 4.30 (4.18) proj_loss: -0.6075 (-0.5985) time: 0.3656 data: 0.0003 [11-24 04:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.45 Lm: 6.757 (6.736) Lt: 6.032 (6.030) Accm: 2.78 (2.84) Acct: 4.67 (4.67) proj_loss: -0.6074 (-0.6052) time: 0.3656 data: 0.0002 [11-24 04:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.45 Lm: 6.673 (6.653) Lt: 5.961 (5.919) Accm: 2.94 (2.96) Acct: 4.49 (4.62) proj_loss: -0.5884 (-0.5889) time: 0.3656 data: 0.0003 [11-24 04:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:03 tlr: 0.0001 tnm: 0.45 Lm: 6.733 (6.782) Lt: 6.041 (6.111) Accm: 2.51 (2.68) Acct: 4.18 (4.30) proj_loss: -0.6212 (-0.6129) time: 0.3656 data: 0.0002 [11-24 04:59:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.44 Lm: 6.730 (6.736) Lt: 6.033 (6.057) Accm: 2.77 (2.82) Acct: 4.55 (4.51) proj_loss: -0.6086 (-0.6073) time: 0.3677 data: 0.0003 [11-24 04:59:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.44 Lm: 6.790 (6.796) Lt: 6.116 (6.096) Accm: 2.59 (2.62) Acct: 4.05 (4.08) proj_loss: -0.6032 (-0.5986) time: 0.3676 data: 0.0003 [11-24 04:59:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.44 Lm: 6.747 (6.736) Lt: 6.043 (6.036) Accm: 2.74 (2.80) Acct: 4.45 (4.55) proj_loss: -0.6035 (-0.6032) time: 0.3676 data: 0.0002 [11-24 04:59:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.44 Lm: 6.681 (6.718) Lt: 5.967 (6.005) Accm: 2.94 (2.84) Acct: 4.46 (4.43) proj_loss: -0.5919 (-0.5949) time: 0.3677 data: 0.0003 [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.690 (6.718) Lt: 5.973 (6.012) Accm: 2.94 (2.85) Acct: 4.42 (4.39) proj_loss: -0.5953 (-0.5973) time: 0.3648 data: 0.0017 [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.737 (6.729) Lt: 6.032 (6.029) Accm: 2.70 (2.78) Acct: 4.41 (4.52) proj_loss: -0.5995 (-0.6009) time: 0.3648 data: 0.0017 [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.757 (6.788) Lt: 6.116 (6.091) Accm: 2.67 (2.63) Acct: 4.12 (4.09) proj_loss: -0.5988 (-0.5986) time: 0.3648 data: 0.0015 [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.727 (6.722) Lt: 6.026 (6.021) Accm: 2.88 (2.83) Acct: 4.75 (4.56) proj_loss: -0.6126 (-0.6084) time: 0.3648 data: 0.0019 [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:01:44] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 22:47:20, Finish: 2024-11-24 11:49 [11-24 05:01:44] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 22:47:02, Finish: 2024-11-24 11:48 [11-24 05:01:44] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 22:47:42, Finish: 2024-11-24 11:49 [11-24 05:01:44] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.725 (6.731), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 22:46:54, Finish: 2024-11-24 11:48 [11-24 05:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.49 Lm: 6.854 (6.854) Lt: 6.152 (6.152) Accm: 2.46 (2.46) Acct: 3.55 (3.55) proj_loss: -0.5782 (-0.5782) time: 0.3528 data: 0.0003 [11-24 05:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:49 tlr: 0.0001 tnm: 0.49 Lm: 6.665 (6.665) Lt: 5.973 (5.973) Accm: 2.80 (2.80) Acct: 4.20 (4.20) proj_loss: -0.6030 (-0.6030) time: 0.3533 data: 0.0004 [11-24 05:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:56 tlr: 0.0001 tnm: 0.49 Lm: 6.705 (6.705) Lt: 5.967 (5.967) Accm: 2.79 (2.79) Acct: 4.65 (4.65) proj_loss: -0.6075 (-0.6075) time: 0.3574 data: 0.0004 [11-24 05:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.49 Lm: 6.687 (6.687) Lt: 5.949 (5.949) Accm: 2.79 (2.79) Acct: 4.58 (4.58) proj_loss: -0.6164 (-0.6164) time: 0.3527 data: 0.0004 [11-24 05:04:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:07:38 tlr: 0.0001 tnm: 0.45 Lm: 6.618 (6.618) Lt: 5.880 (5.880) Accm: 2.95 (2.95) Acct: 4.86 (4.86) proj_loss: -0.6037 (-0.6037) time: 0.3652 data: 0.0003 [11-24 05:04:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:07:38 tlr: 0.0001 tnm: 0.45 Lm: 6.793 (6.793) Lt: 6.115 (6.115) Accm: 2.61 (2.61) Acct: 3.86 (3.86) proj_loss: -0.5881 (-0.5881) time: 0.3652 data: 0.0003 [11-24 05:04:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:07:38 tlr: 0.0001 tnm: 0.45 Lm: 6.685 (6.685) Lt: 5.966 (5.966) Accm: 2.79 (2.79) Acct: 4.42 (4.42) proj_loss: -0.6131 (-0.6131) time: 0.3652 data: 0.0003 [11-24 05:04:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:07:38 tlr: 0.0001 tnm: 0.45 Lm: 6.686 (6.686) Lt: 5.981 (5.981) Accm: 2.85 (2.85) Acct: 4.32 (4.32) proj_loss: -0.5973 (-0.5973) time: 0.3652 data: 0.0003 [11-24 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.665 (6.670) Lt: 5.973 (5.957) Accm: 2.90 (2.94) Acct: 4.44 (4.60) proj_loss: -0.6007 (-0.5985) time: 0.3623 data: 0.0002 [11-24 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.854 (6.817) Lt: 6.152 (6.154) Accm: 2.46 (2.51) Acct: 3.55 (3.73) proj_loss: -0.5979 (-0.5918) time: 0.3623 data: 0.0003 [11-24 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.687 (6.669) Lt: 5.949 (5.935) Accm: 2.79 (2.87) Acct: 4.58 (4.70) proj_loss: -0.5910 (-0.5968) time: 0.3623 data: 0.0003 [11-24 05:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.665 (6.664) Lt: 5.965 (5.955) Accm: 2.79 (2.83) Acct: 4.65 (4.53) proj_loss: -0.6078 (-0.6113) time: 0.3622 data: 0.0002 [11-24 05:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:34 tlr: 0.0001 tnm: 0.47 Lm: 6.685 (6.691) Lt: 5.966 (5.989) Accm: 2.79 (2.75) Acct: 4.42 (4.39) proj_loss: -0.6076 (-0.6097) time: 0.3645 data: 0.0002 [11-24 05:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:34 tlr: 0.0001 tnm: 0.47 Lm: 6.714 (6.687) Lt: 5.996 (5.965) Accm: 2.79 (2.85) Acct: 4.48 (4.61) proj_loss: -0.5945 (-0.5971) time: 0.3645 data: 0.0003 [11-24 05:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:34 tlr: 0.0001 tnm: 0.47 Lm: 6.793 (6.792) Lt: 6.115 (6.110) Accm: 2.61 (2.65) Acct: 3.86 (3.99) proj_loss: -0.5979 (-0.5933) time: 0.3645 data: 0.0003 [11-24 05:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:34 tlr: 0.0001 tnm: 0.47 Lm: 6.661 (6.666) Lt: 5.941 (5.937) Accm: 2.95 (2.95) Acct: 4.64 (4.66) proj_loss: -0.5962 (-0.5950) time: 0.3645 data: 0.0003 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.46 Lm: 6.705 (6.695) Lt: 5.967 (5.986) Accm: 2.79 (2.79) Acct: 4.61 (4.44) proj_loss: -0.6075 (-0.6079) time: 0.3637 data: 0.0016 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.46 Lm: 6.733 (6.748) Lt: 6.079 (6.065) Accm: 2.76 (2.84) Acct: 4.17 (4.30) proj_loss: -0.5979 (-0.5942) time: 0.3637 data: 0.0019 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.46 Lm: 6.740 (6.716) Lt: 6.044 (6.010) Accm: 2.79 (2.77) Acct: 4.37 (4.44) proj_loss: -0.5910 (-0.5941) time: 0.3637 data: 0.0016 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.46 Lm: 6.663 (6.666) Lt: 5.922 (5.934) Accm: 2.99 (2.97) Acct: 4.63 (4.65) proj_loss: -0.5916 (-0.5924) time: 0.3638 data: 0.0020 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:12:05] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.024), Acc m&t: 2.80 4.40, Remain: 22:37:28, Finish: 2024-11-24 11:49 [11-24 05:12:05] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.024), Acc m&t: 2.80 4.40, Remain: 22:36:49, Finish: 2024-11-24 11:48 [11-24 05:12:05] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.024), Acc m&t: 2.80 4.40, Remain: 22:37:41, Finish: 2024-11-24 11:49 [11-24 05:12:05] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.024), Acc m&t: 2.80 4.40, Remain: 22:38:14, Finish: 2024-11-24 11:50 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:43 tlr: 9.9e-05 tnm: 0.46 Lm: 6.671 (6.671) Lt: 5.975 (5.975) Accm: 2.68 (2.68) Acct: 4.05 (4.05) proj_loss: -0.6349 (-0.6349) time: 0.3495 data: 0.0003 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:44 tlr: 9.9e-05 tnm: 0.46 Lm: 6.941 (6.941) Lt: 6.253 (6.253) Accm: 2.11 (2.11) Acct: 3.39 (3.39) proj_loss: -0.5920 (-0.5920) time: 0.3500 data: 0.0004 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:42 tlr: 9.9e-05 tnm: 0.46 Lm: 6.671 (6.671) Lt: 5.943 (5.943) Accm: 2.68 (2.68) Acct: 4.10 (4.10) proj_loss: -0.5828 (-0.5828) time: 0.3488 data: 0.0003 [11-24 05:12:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:44 tlr: 9.9e-05 tnm: 0.46 Lm: 6.675 (6.675) Lt: 5.957 (5.957) Accm: 3.12 (3.12) Acct: 4.96 (4.96) proj_loss: -0.6020 (-0.6020) time: 0.3504 data: 0.0003 [11-24 05:14:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:08:01 tlr: 9.9e-05 tnm: 0.45 Lm: 6.802 (6.802) Lt: 6.063 (6.063) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.5892 (-0.5892) time: 0.3650 data: 0.0003 [11-24 05:14:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:08:01 tlr: 9.9e-05 tnm: 0.45 Lm: 6.627 (6.627) Lt: 5.945 (5.945) Accm: 3.02 (3.02) Acct: 4.68 (4.68) proj_loss: -0.5961 (-0.5961) time: 0.3650 data: 0.0003 [11-24 05:14:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:08:01 tlr: 9.9e-05 tnm: 0.45 Lm: 6.665 (6.665) Lt: 5.971 (5.971) Accm: 2.79 (2.79) Acct: 4.23 (4.23) proj_loss: -0.6180 (-0.6180) time: 0.3650 data: 0.0003 [11-24 05:14:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:08:01 tlr: 9.9e-05 tnm: 0.45 Lm: 6.685 (6.685) Lt: 5.972 (5.972) Accm: 3.10 (3.10) Acct: 4.81 (4.81) proj_loss: -0.6011 (-0.6011) time: 0.3651 data: 0.0003 [11-24 05:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:15 tlr: 9.9e-05 tnm: 0.47 Lm: 6.695 (6.710) Lt: 5.986 (5.995) Accm: 3.09 (2.99) Acct: 4.67 (4.61) proj_loss: -0.6003 (-0.5965) time: 0.3622 data: 0.0002 [11-24 05:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:15 tlr: 9.9e-05 tnm: 0.47 Lm: 6.671 (6.663) Lt: 5.948 (5.977) Accm: 2.68 (2.81) Acct: 4.10 (4.45) proj_loss: -0.6002 (-0.5975) time: 0.3622 data: 0.0002 [11-24 05:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:15 tlr: 9.9e-05 tnm: 0.47 Lm: 6.671 (6.707) Lt: 5.975 (6.010) Accm: 2.68 (2.69) Acct: 4.05 (4.09) proj_loss: -0.6011 (-0.6104) time: 0.3622 data: 0.0003 [11-24 05:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:15 tlr: 9.9e-05 tnm: 0.47 Lm: 6.719 (6.774) Lt: 5.966 (6.030) Accm: 2.78 (2.65) Acct: 4.34 (4.19) proj_loss: -0.5865 (-0.5863) time: 0.3622 data: 0.0002 [11-24 05:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:36 tlr: 9.9e-05 tnm: 0.45 Lm: 6.736 (6.769) Lt: 6.014 (6.038) Accm: 2.66 (2.62) Acct: 4.18 (4.15) proj_loss: -0.5892 (-0.5923) time: 0.3609 data: 0.0003 [11-24 05:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:36 tlr: 9.9e-05 tnm: 0.45 Lm: 6.730 (6.731) Lt: 6.022 (6.025) Accm: 2.66 (2.67) Acct: 4.10 (4.10) proj_loss: -0.5982 (-0.6024) time: 0.3609 data: 0.0003 [11-24 05:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:36 tlr: 9.9e-05 tnm: 0.45 Lm: 6.728 (6.724) Lt: 6.007 (6.003) Accm: 2.92 (2.92) Acct: 4.44 (4.48) proj_loss: -0.5938 (-0.5885) time: 0.3609 data: 0.0003 [11-24 05:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:36 tlr: 9.9e-05 tnm: 0.45 Lm: 6.662 (6.661) Lt: 5.945 (5.953) Accm: 2.75 (2.82) Acct: 4.27 (4.45) proj_loss: -0.5959 (-0.5960) time: 0.3609 data: 0.0002 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.653 (6.652) Lt: 5.943 (5.931) Accm: 2.83 (2.88) Acct: 4.44 (4.55) proj_loss: -0.5925 (-0.5953) time: 0.3643 data: 0.0021 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:18 (0.371 s / it) [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.761 (6.735) Lt: 6.028 (6.021) Accm: 2.77 (2.89) Acct: 4.24 (4.43) proj_loss: -0.5874 (-0.5864) time: 0.3643 data: 0.0021 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.719 (6.748) Lt: 5.966 (6.018) Accm: 2.78 (2.75) Acct: 4.34 (4.36) proj_loss: -0.5920 (-0.5980) time: 0.3643 data: 0.0017 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.790 (6.750) Lt: 6.070 (6.044) Accm: 2.63 (2.64) Acct: 4.05 (4.08) proj_loss: -0.5953 (-0.5956) time: 0.3643 data: 0.0016 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:18 (0.371 s / it) [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:18 (0.371 s / it) [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:18 (0.371 s / it) [11-24 05:22:24] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.031), Acc m&t: 2.80 4.40, Remain: 22:18:57, Finish: 2024-11-24 11:41 [11-24 05:22:24] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.031), Acc m&t: 2.80 4.40, Remain: 22:19:07, Finish: 2024-11-24 11:41 [11-24 05:22:24] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.031), Acc m&t: 2.80 4.40, Remain: 22:18:47, Finish: 2024-11-24 11:41 [11-24 05:22:24] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.725 (6.735), Lt: 6.019 (6.031), Acc m&t: 2.80 4.40, Remain: 22:18:38, Finish: 2024-11-24 11:41 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:09:51 tlr: 9.9e-05 tnm: 0.46 Lm: 6.593 (6.593) Lt: 5.949 (5.949) Accm: 3.03 (3.03) Acct: 4.48 (4.48) proj_loss: -0.5918 (-0.5918) time: 0.3544 data: 0.0004 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:09:52 tlr: 9.9e-05 tnm: 0.46 Lm: 6.736 (6.736) Lt: 6.037 (6.037) Accm: 2.66 (2.66) Acct: 3.98 (3.98) proj_loss: -0.6018 (-0.6018) time: 0.3547 data: 0.0004 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:09:52 tlr: 9.9e-05 tnm: 0.46 Lm: 6.737 (6.737) Lt: 6.056 (6.056) Accm: 2.82 (2.82) Acct: 4.37 (4.37) proj_loss: -0.5917 (-0.5917) time: 0.3550 data: 0.0004 [11-24 05:22:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:09:51 tlr: 9.9e-05 tnm: 0.46 Lm: 6.612 (6.612) Lt: 5.943 (5.943) Accm: 3.29 (3.29) Acct: 4.87 (4.87) proj_loss: -0.6182 (-0.6182) time: 0.3545 data: 0.0005 [11-24 05:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:34 tlr: 9.8e-05 tnm: 0.46 Lm: 6.660 (6.660) Lt: 5.992 (5.992) Accm: 3.06 (3.06) Acct: 4.62 (4.62) proj_loss: -0.6075 (-0.6075) time: 0.3637 data: 0.0003 [11-24 05:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:34 tlr: 9.8e-05 tnm: 0.46 Lm: 6.694 (6.694) Lt: 6.004 (6.004) Accm: 2.81 (2.81) Acct: 4.33 (4.33) proj_loss: -0.5917 (-0.5917) time: 0.3637 data: 0.0003 [11-24 05:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:34 tlr: 9.8e-05 tnm: 0.46 Lm: 6.723 (6.723) Lt: 6.057 (6.057) Accm: 2.85 (2.85) Acct: 4.36 (4.36) proj_loss: -0.6026 (-0.6026) time: 0.3637 data: 0.0002 [11-24 05:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:34 tlr: 9.8e-05 tnm: 0.46 Lm: 6.802 (6.802) Lt: 6.105 (6.105) Accm: 2.61 (2.61) Acct: 4.07 (4.07) proj_loss: -0.6028 (-0.6028) time: 0.3637 data: 0.0003 [11-24 05:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:03 tlr: 9.8e-05 tnm: 0.45 Lm: 6.736 (6.755) Lt: 6.037 (6.046) Accm: 2.66 (2.63) Acct: 4.06 (4.07) proj_loss: -0.6030 (-0.6029) time: 0.3650 data: 0.0002 [11-24 05:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:03 tlr: 9.8e-05 tnm: 0.45 Lm: 6.768 (6.719) Lt: 6.052 (6.020) Accm: 2.73 (2.78) Acct: 4.37 (4.34) proj_loss: -0.5918 (-0.5971) time: 0.3650 data: 0.0003 [11-24 05:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:03 tlr: 9.8e-05 tnm: 0.45 Lm: 6.708 (6.686) Lt: 6.010 (5.998) Accm: 2.82 (2.92) Acct: 4.37 (4.50) proj_loss: -0.6167 (-0.6106) time: 0.3651 data: 0.0003 [11-24 05:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:03 tlr: 9.8e-05 tnm: 0.45 Lm: 6.737 (6.746) Lt: 6.058 (6.078) Accm: 2.82 (2.71) Acct: 4.34 (4.15) proj_loss: -0.6124 (-0.6059) time: 0.3651 data: 0.0003 [11-24 05:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:31 tlr: 9.8e-05 tnm: 0.46 Lm: 6.755 (6.724) Lt: 6.020 (6.012) Accm: 2.74 (2.77) Acct: 4.42 (4.37) proj_loss: -0.5949 (-0.5973) time: 0.3642 data: 0.0003 [11-24 05:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:31 tlr: 9.8e-05 tnm: 0.46 Lm: 6.722 (6.699) Lt: 6.025 (6.012) Accm: 2.74 (2.84) Acct: 4.31 (4.38) proj_loss: -0.6087 (-0.6081) time: 0.3642 data: 0.0003 [11-24 05:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:31 tlr: 9.8e-05 tnm: 0.46 Lm: 6.732 (6.748) Lt: 6.056 (6.053) Accm: 2.66 (2.64) Acct: 4.05 (4.06) proj_loss: -0.6024 (-0.5994) time: 0.3642 data: 0.0003 [11-24 05:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:31 tlr: 9.8e-05 tnm: 0.46 Lm: 6.736 (6.743) Lt: 6.057 (6.066) Accm: 2.68 (2.67) Acct: 4.17 (4.11) proj_loss: -0.6082 (-0.6054) time: 0.3642 data: 0.0003 [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.45 Lm: 6.741 (6.702) Lt: 5.989 (5.999) Accm: 2.74 (2.83) Acct: 4.46 (4.44) proj_loss: -0.5965 (-0.5972) time: 0.3648 data: 0.0017 [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.45 Lm: 6.727 (6.737) Lt: 6.037 (6.038) Accm: 2.66 (2.65) Acct: 4.03 (4.03) proj_loss: -0.6018 (-0.5965) time: 0.3648 data: 0.0018 [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.45 Lm: 6.736 (6.739) Lt: 6.041 (6.064) Accm: 2.65 (2.74) Acct: 4.25 (4.20) proj_loss: -0.6008 (-0.6028) time: 0.3648 data: 0.0017 [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.45 Lm: 6.737 (6.749) Lt: 6.056 (6.060) Accm: 2.68 (2.67) Acct: 4.22 (4.13) proj_loss: -0.6040 (-0.6048) time: 0.3649 data: 0.0019 [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:32:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:06 (0.363 s / it) [11-24 05:32:30] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.028), Acc m&t: 2.80 4.40, Remain: 22:21:36, Finish: 2024-11-24 11:54 [11-24 05:32:30] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.028), Acc m&t: 2.80 4.40, Remain: 22:20:46, Finish: 2024-11-24 11:53 [11-24 05:32:30] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.028), Acc m&t: 2.80 4.40, Remain: 22:20:49, Finish: 2024-11-24 11:53 [11-24 05:32:30] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.028), Acc m&t: 2.80 4.40, Remain: 22:20:07, Finish: 2024-11-24 11:52 [11-24 05:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:09:58 tlr: 9.8e-05 tnm: 0.45 Lm: 6.728 (6.728) Lt: 5.986 (5.986) Accm: 2.41 (2.41) Acct: 3.99 (3.99) proj_loss: -0.5894 (-0.5894) time: 0.3587 data: 0.0003 [11-24 05:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:10:00 tlr: 9.8e-05 tnm: 0.45 Lm: 6.618 (6.618) Lt: 5.886 (5.886) Accm: 3.37 (3.37) Acct: 5.18 (5.18) proj_loss: -0.5887 (-0.5887) time: 0.3596 data: 0.0004 [11-24 05:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:09:52 tlr: 9.8e-05 tnm: 0.45 Lm: 6.770 (6.770) Lt: 6.051 (6.051) Accm: 2.78 (2.78) Acct: 4.46 (4.46) proj_loss: -0.6164 (-0.6164) time: 0.3550 data: 0.0003 [11-24 05:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:10:02 tlr: 9.8e-05 tnm: 0.45 Lm: 6.715 (6.715) Lt: 6.037 (6.037) Accm: 2.72 (2.72) Acct: 4.36 (4.36) proj_loss: -0.6079 (-0.6079) time: 0.3608 data: 0.0004 [11-24 05:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:33 tlr: 9.8e-05 tnm: 0.47 Lm: 6.771 (6.771) Lt: 6.051 (6.051) Accm: 2.62 (2.62) Acct: 4.25 (4.25) proj_loss: -0.5951 (-0.5951) time: 0.3621 data: 0.0003 [11-24 05:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:33 tlr: 9.8e-05 tnm: 0.47 Lm: 6.726 (6.726) Lt: 6.022 (6.022) Accm: 2.94 (2.94) Acct: 4.56 (4.56) proj_loss: -0.5840 (-0.5840) time: 0.3621 data: 0.0003 [11-24 05:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:33 tlr: 9.8e-05 tnm: 0.47 Lm: 6.684 (6.684) Lt: 5.936 (5.936) Accm: 2.71 (2.71) Acct: 4.27 (4.27) proj_loss: -0.6017 (-0.6017) time: 0.3621 data: 0.0003 [11-24 05:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:33 tlr: 9.8e-05 tnm: 0.47 Lm: 6.822 (6.822) Lt: 6.098 (6.098) Accm: 2.70 (2.70) Acct: 4.35 (4.35) proj_loss: -0.6148 (-0.6148) time: 0.3621 data: 0.0002 [11-24 05:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:05 tlr: 9.8e-05 tnm: 0.44 Lm: 6.770 (6.784) Lt: 6.051 (6.077) Accm: 2.72 (2.70) Acct: 4.24 (4.31) proj_loss: -0.6133 (-0.6109) time: 0.3618 data: 0.0003 [11-24 05:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:05 tlr: 9.8e-05 tnm: 0.44 Lm: 6.834 (6.806) Lt: 6.158 (6.115) Accm: 2.51 (2.63) Acct: 3.94 (4.10) proj_loss: -0.5793 (-0.5814) time: 0.3618 data: 0.0003 [11-24 05:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:05 tlr: 9.8e-05 tnm: 0.44 Lm: 6.715 (6.740) Lt: 6.037 (6.033) Accm: 2.72 (2.72) Acct: 4.36 (4.31) proj_loss: -0.6044 (-0.5982) time: 0.3618 data: 0.0003 [11-24 05:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:05 tlr: 9.8e-05 tnm: 0.44 Lm: 6.728 (6.703) Lt: 5.986 (5.956) Accm: 2.89 (2.77) Acct: 4.39 (4.31) proj_loss: -0.5977 (-0.6003) time: 0.3618 data: 0.0003 [11-24 05:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:34 tlr: 9.7e-05 tnm: 0.46 Lm: 6.727 (6.709) Lt: 5.990 (5.966) Accm: 2.79 (2.75) Acct: 4.35 (4.31) proj_loss: -0.5974 (-0.5995) time: 0.4036 data: 0.0003 [11-24 05:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:34 tlr: 9.7e-05 tnm: 0.46 Lm: 6.785 (6.789) Lt: 6.104 (6.099) Accm: 2.70 (2.69) Acct: 4.12 (4.15) proj_loss: -0.5793 (-0.5809) time: 0.4036 data: 0.0003 [11-24 05:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:34 tlr: 9.7e-05 tnm: 0.46 Lm: 6.741 (6.747) Lt: 6.051 (6.054) Accm: 2.66 (2.69) Acct: 4.25 (4.25) proj_loss: -0.6040 (-0.5996) time: 0.4036 data: 0.0002 [11-24 05:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:34 tlr: 9.7e-05 tnm: 0.46 Lm: 6.739 (6.732) Lt: 6.043 (6.020) Accm: 2.75 (2.86) Acct: 4.35 (4.57) proj_loss: -0.6094 (-0.6096) time: 0.4036 data: 0.0003 [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.45 Lm: 6.707 (6.716) Lt: 6.034 (6.006) Accm: 2.78 (2.91) Acct: 4.46 (4.61) proj_loss: -0.6133 (-0.6105) time: 0.3654 data: 0.0020 [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.45 Lm: 6.736 (6.766) Lt: 6.051 (6.078) Accm: 2.88 (2.74) Acct: 4.30 (4.25) proj_loss: -0.5794 (-0.5836) time: 0.3654 data: 0.0018 [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.45 Lm: 6.725 (6.742) Lt: 6.059 (6.055) Accm: 2.59 (2.66) Acct: 4.15 (4.17) proj_loss: -0.6037 (-0.5973) time: 0.3654 data: 0.0017 [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.45 Lm: 6.728 (6.739) Lt: 5.994 (6.013) Accm: 2.70 (2.67) Acct: 4.30 (4.17) proj_loss: -0.5977 (-0.6000) time: 0.3654 data: 0.0019 [11-24 05:42:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:20 (0.372 s / it) [11-24 05:45:05] (home/user/VAR/trainer.py, line 114)=> FID: 4.168198306138493 [11-24 05:45:05] (/home/user/VAR/train.py , line 259)=> [*] [ep219] (val 50000) Lm: 6.7286, Lt: 6.0212, Acc m&t: 2.79 4.36, Val cost: 133.79s [11-24 05:45:05] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 05:45:18] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.021), Acc m&t: 2.80 4.40, Remain: 22:14:07, Finish: 2024-11-24 11:56 [11-24 05:45:18] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.021), Acc m&t: 2.80 4.40, Remain: 22:13:34, Finish: 2024-11-24 11:56 [11-24 05:45:18] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.021), Acc m&t: 2.80 4.40, Remain: 22:13:41, Finish: 2024-11-24 11:56 [11-24 05:45:18] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.725 (6.729), Lt: 6.019 (6.021), Acc m&t: 2.80 4.40, Remain: 22:13:54, Finish: 2024-11-24 11:56 [11-24 05:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:09:57 tlr: 9.7e-05 tnm: 0.46 Lm: 6.624 (6.624) Lt: 5.903 (5.903) Accm: 3.07 (3.07) Acct: 4.75 (4.75) proj_loss: -0.5984 (-0.5984) time: 0.3578 data: 0.0003 [11-24 05:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:09:56 tlr: 9.7e-05 tnm: 0.46 Lm: 6.783 (6.783) Lt: 6.134 (6.134) Accm: 2.96 (2.96) Acct: 4.13 (4.13) proj_loss: -0.5994 (-0.5994) time: 0.3573 data: 0.0003 [11-24 05:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:09:57 tlr: 9.7e-05 tnm: 0.46 Lm: 6.791 (6.791) Lt: 6.178 (6.178) Accm: 2.53 (2.53) Acct: 3.94 (3.94) proj_loss: -0.6045 (-0.6045) time: 0.3578 data: 0.0004 [11-24 05:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:09:57 tlr: 9.7e-05 tnm: 0.46 Lm: 6.808 (6.808) Lt: 6.092 (6.092) Accm: 2.51 (2.51) Acct: 3.84 (3.84) proj_loss: -0.5863 (-0.5863) time: 0.3579 data: 0.0004 [11-24 05:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:58 tlr: 9.7e-05 tnm: 0.46 Lm: 6.785 (6.785) Lt: 6.128 (6.128) Accm: 2.59 (2.59) Acct: 3.89 (3.89) proj_loss: -0.5905 (-0.5905) time: 0.3634 data: 0.0003 [11-24 05:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:58 tlr: 9.7e-05 tnm: 0.46 Lm: 6.844 (6.844) Lt: 6.170 (6.170) Accm: 2.48 (2.48) Acct: 3.83 (3.83) proj_loss: -0.5923 (-0.5923) time: 0.3634 data: 0.0003 [11-24 05:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:58 tlr: 9.7e-05 tnm: 0.46 Lm: 6.718 (6.718) Lt: 5.990 (5.990) Accm: 2.77 (2.77) Acct: 4.43 (4.43) proj_loss: -0.5953 (-0.5953) time: 0.3634 data: 0.0002 [11-24 05:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:58 tlr: 9.7e-05 tnm: 0.46 Lm: 6.692 (6.692) Lt: 6.023 (6.023) Accm: 3.02 (3.02) Acct: 4.46 (4.46) proj_loss: -0.6032 (-0.6032) time: 0.3634 data: 0.0003 [11-24 05:50:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:13 tlr: 9.7e-05 tnm: 0.46 Lm: 6.600 (6.646) Lt: 5.912 (5.967) Accm: 2.99 (3.01) Acct: 4.37 (4.43) proj_loss: -0.5994 (-0.5961) time: 0.3625 data: 0.0003 [11-24 05:50:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:13 tlr: 9.7e-05 tnm: 0.46 Lm: 6.784 (6.740) Lt: 6.045 (6.009) Accm: 2.76 (2.77) Acct: 4.24 (4.37) proj_loss: -0.5984 (-0.5992) time: 0.3624 data: 0.0003 [11-24 05:50:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:13 tlr: 9.7e-05 tnm: 0.46 Lm: 6.791 (6.758) Lt: 6.161 (6.064) Accm: 2.53 (2.69) Acct: 3.94 (4.25) proj_loss: -0.5975 (-0.5940) time: 0.3624 data: 0.0003 [11-24 05:50:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:13 tlr: 9.7e-05 tnm: 0.46 Lm: 6.762 (6.749) Lt: 6.092 (6.086) Accm: 2.67 (2.72) Acct: 3.94 (4.16) proj_loss: -0.5946 (-0.6018) time: 0.3624 data: 0.0003 [11-24 05:53:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.685 (6.677) Lt: 6.017 (6.006) Accm: 2.97 (2.89) Acct: 4.25 (4.25) proj_loss: -0.6032 (-0.6006) time: 0.3661 data: 0.0003 [11-24 05:53:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.767 (6.755) Lt: 6.105 (6.060) Accm: 2.73 (2.75) Acct: 4.19 (4.30) proj_loss: -0.6007 (-0.5965) time: 0.3661 data: 0.0003 [11-24 05:53:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.746 (6.732) Lt: 6.032 (6.011) Accm: 2.76 (2.77) Acct: 4.39 (4.41) proj_loss: -0.6026 (-0.6019) time: 0.3661 data: 0.0003 [11-24 05:53:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.720 (6.720) Lt: 6.046 (6.055) Accm: 2.75 (2.75) Acct: 4.02 (4.15) proj_loss: -0.6054 (-0.6054) time: 0.3661 data: 0.0003 [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.741 (6.724) Lt: 6.055 (6.055) Accm: 2.67 (2.72) Acct: 4.05 (4.13) proj_loss: -0.5946 (-0.6024) time: 0.3657 data: 0.0018 [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:17 (0.370 s / it) [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.769 (6.704) Lt: 6.121 (6.029) Accm: 2.96 (2.81) Acct: 4.13 (4.16) proj_loss: -0.6027 (-0.6010) time: 0.3657 data: 0.0015 [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.760 (6.756) Lt: 6.070 (6.062) Accm: 2.78 (2.75) Acct: 4.10 (4.26) proj_loss: -0.5975 (-0.5967) time: 0.3657 data: 0.0016 [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.784 (6.746) Lt: 6.045 (6.023) Accm: 2.76 (2.73) Acct: 4.24 (4.29) proj_loss: -0.5984 (-0.5961) time: 0.3657 data: 0.0020 [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:17 (0.370 s / it) [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:17 (0.370 s / it) [11-24 05:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:17 (0.370 s / it) [11-24 05:55:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.725 (6.739), Lt: 6.019 (6.036), Acc m&t: 2.80 4.40, Remain: 21:59:01, Finish: 2024-11-24 11:54 [11-24 05:55:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.725 (6.739), Lt: 6.019 (6.036), Acc m&t: 2.80 4.40, Remain: 21:58:35, Finish: 2024-11-24 11:54 [11-24 05:55:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.725 (6.739), Lt: 6.019 (6.036), Acc m&t: 2.80 4.40, Remain: 21:58:07, Finish: 2024-11-24 11:53 [11-24 05:55:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.725 (6.739), Lt: 6.019 (6.036), Acc m&t: 2.80 4.40, Remain: 21:58:37, Finish: 2024-11-24 11:54 [11-24 05:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:09:48 tlr: 9.6e-05 tnm: 0.44 Lm: 6.582 (6.582) Lt: 5.909 (5.909) Accm: 3.39 (3.39) Acct: 5.23 (5.23) proj_loss: -0.6050 (-0.6050) time: 0.3528 data: 0.0004 [11-24 05:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:09:48 tlr: 9.6e-05 tnm: 0.44 Lm: 6.682 (6.682) Lt: 5.980 (5.980) Accm: 2.79 (2.79) Acct: 4.67 (4.67) proj_loss: -0.6013 (-0.6013) time: 0.3528 data: 0.0004 [11-24 05:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:10:01 tlr: 9.6e-05 tnm: 0.44 Lm: 6.892 (6.892) Lt: 6.214 (6.214) Accm: 2.10 (2.10) Acct: 3.15 (3.15) proj_loss: -0.5927 (-0.5927) time: 0.3601 data: 0.0004 [11-24 05:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:09:49 tlr: 9.6e-05 tnm: 0.44 Lm: 6.767 (6.767) Lt: 6.113 (6.113) Accm: 2.59 (2.59) Acct: 4.03 (4.03) proj_loss: -0.5895 (-0.5895) time: 0.3534 data: 0.0004 [11-24 05:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:34 tlr: 9.6e-05 tnm: 0.47 Lm: 6.757 (6.757) Lt: 6.064 (6.064) Accm: 2.64 (2.64) Acct: 4.25 (4.25) proj_loss: -0.5943 (-0.5943) time: 0.3612 data: 0.0003 [11-24 05:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:34 tlr: 9.6e-05 tnm: 0.47 Lm: 6.699 (6.699) Lt: 6.006 (6.006) Accm: 2.85 (2.85) Acct: 4.60 (4.60) proj_loss: -0.6062 (-0.6062) time: 0.3612 data: 0.0003 [11-24 05:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:34 tlr: 9.6e-05 tnm: 0.47 Lm: 6.819 (6.819) Lt: 6.110 (6.110) Accm: 2.49 (2.49) Acct: 3.91 (3.91) proj_loss: -0.6000 (-0.6000) time: 0.3612 data: 0.0003 [11-24 05:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:34 tlr: 9.6e-05 tnm: 0.47 Lm: 6.630 (6.630) Lt: 5.915 (5.915) Accm: 3.25 (3.25) Acct: 5.03 (5.03) proj_loss: -0.6051 (-0.6051) time: 0.3612 data: 0.0003 [11-24 06:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:03 tlr: 9.6e-05 tnm: 0.46 Lm: 6.677 (6.721) Lt: 5.922 (6.042) Accm: 3.10 (2.94) Acct: 4.82 (4.44) proj_loss: -0.6052 (-0.6071) time: 0.3910 data: 0.0003 [11-24 06:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:03 tlr: 9.6e-05 tnm: 0.46 Lm: 6.682 (6.671) Lt: 5.980 (5.960) Accm: 2.91 (2.92) Acct: 4.67 (4.69) proj_loss: -0.6013 (-0.6040) time: 0.3910 data: 0.0003 [11-24 06:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:03 tlr: 9.6e-05 tnm: 0.46 Lm: 6.892 (6.862) Lt: 6.214 (6.160) Accm: 2.37 (2.45) Acct: 3.87 (3.90) proj_loss: -0.5927 (-0.5972) time: 0.3910 data: 0.0002 [11-24 06:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:03 tlr: 9.6e-05 tnm: 0.46 Lm: 6.748 (6.754) Lt: 6.039 (6.055) Accm: 2.68 (2.73) Acct: 4.48 (4.37) proj_loss: -0.5896 (-0.5928) time: 0.3910 data: 0.0003 [11-24 06:03:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:31 tlr: 9.6e-05 tnm: 0.48 Lm: 6.758 (6.782) Lt: 6.076 (6.089) Accm: 2.64 (2.65) Acct: 4.25 (4.21) proj_loss: -0.5918 (-0.5931) time: 0.3622 data: 0.0003 [11-24 06:03:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:31 tlr: 9.6e-05 tnm: 0.48 Lm: 6.699 (6.710) Lt: 6.006 (6.004) Accm: 2.85 (2.89) Acct: 4.60 (4.60) proj_loss: -0.6005 (-0.5966) time: 0.3622 data: 0.0003 [11-24 06:03:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:31 tlr: 9.6e-05 tnm: 0.48 Lm: 6.684 (6.713) Lt: 5.941 (6.022) Accm: 3.04 (2.95) Acct: 4.70 (4.47) proj_loss: -0.6079 (-0.6080) time: 0.3622 data: 0.0003 [11-24 06:03:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:31 tlr: 9.6e-05 tnm: 0.48 Lm: 6.819 (6.816) Lt: 6.110 (6.113) Accm: 2.62 (2.55) Acct: 4.20 (4.05) proj_loss: -0.6000 (-0.6015) time: 0.3622 data: 0.0002 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.47 Lm: 6.746 (6.796) Lt: 6.013 (6.093) Accm: 2.88 (2.62) Acct: 4.53 (4.21) proj_loss: -0.5974 (-0.6007) time: 0.3677 data: 0.0018 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:06 (0.363 s / it) [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.47 Lm: 6.748 (6.750) Lt: 6.039 (6.042) Accm: 2.68 (2.70) Acct: 4.42 (4.25) proj_loss: -0.5939 (-0.5941) time: 0.3677 data: 0.0027 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.47 Lm: 6.715 (6.715) Lt: 6.032 (6.026) Accm: 2.79 (2.87) Acct: 4.53 (4.53) proj_loss: -0.5997 (-0.5954) time: 0.3677 data: 0.0015 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.47 Lm: 6.677 (6.686) Lt: 5.922 (5.985) Accm: 3.10 (3.02) Acct: 4.82 (4.67) proj_loss: -0.6052 (-0.6052) time: 0.3677 data: 0.0016 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:06 (0.363 s / it) [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:06 (0.363 s / it) [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:06 (0.363 s / it) [11-24 06:05:43] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.725 (6.730), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 21:53:07, Finish: 2024-11-24 11:58 [11-24 06:05:43] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.725 (6.730), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 21:52:42, Finish: 2024-11-24 11:58 [11-24 06:05:43] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.725 (6.730), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 21:52:53, Finish: 2024-11-24 11:58 [11-24 06:05:43] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.725 (6.730), Lt: 6.019 (6.027), Acc m&t: 2.80 4.40, Remain: 21:53:03, Finish: 2024-11-24 11:58 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:51 tlr: 9.6e-05 tnm: 0.46 Lm: 6.775 (6.775) Lt: 6.069 (6.069) Accm: 2.61 (2.61) Acct: 4.12 (4.12) proj_loss: -0.6092 (-0.6092) time: 0.3546 data: 0.0003 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:51 tlr: 9.6e-05 tnm: 0.46 Lm: 6.841 (6.841) Lt: 6.176 (6.176) Accm: 2.49 (2.49) Acct: 3.81 (3.81) proj_loss: -0.5840 (-0.5840) time: 0.3546 data: 0.0004 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:52 tlr: 9.6e-05 tnm: 0.46 Lm: 6.718 (6.718) Lt: 5.970 (5.970) Accm: 2.72 (2.72) Acct: 4.60 (4.60) proj_loss: -0.5812 (-0.5812) time: 0.3548 data: 0.0003 [11-24 06:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:52 tlr: 9.6e-05 tnm: 0.46 Lm: 6.762 (6.762) Lt: 6.014 (6.014) Accm: 2.73 (2.73) Acct: 4.32 (4.32) proj_loss: -0.6037 (-0.6037) time: 0.3550 data: 0.0003 [11-24 06:08:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:35 tlr: 9.6e-05 tnm: 0.46 Lm: 6.751 (6.751) Lt: 6.045 (6.045) Accm: 2.77 (2.77) Acct: 4.45 (4.45) proj_loss: -0.6022 (-0.6022) time: 0.3640 data: 0.0003 [11-24 06:08:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:35 tlr: 9.6e-05 tnm: 0.46 Lm: 6.760 (6.760) Lt: 6.075 (6.075) Accm: 2.62 (2.62) Acct: 4.05 (4.05) proj_loss: -0.5834 (-0.5834) time: 0.3641 data: 0.0003 [11-24 06:08:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:35 tlr: 9.6e-05 tnm: 0.46 Lm: 6.694 (6.694) Lt: 5.948 (5.948) Accm: 2.80 (2.80) Acct: 4.67 (4.67) proj_loss: -0.5848 (-0.5848) time: 0.3641 data: 0.0003 [11-24 06:08:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:35 tlr: 9.6e-05 tnm: 0.46 Lm: 6.685 (6.685) Lt: 5.950 (5.950) Accm: 2.91 (2.91) Acct: 4.60 (4.60) proj_loss: -0.5919 (-0.5919) time: 0.3641 data: 0.0003 [11-24 06:10:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:07 tlr: 9.5e-05 tnm: 0.45 Lm: 6.775 (6.717) Lt: 6.069 (6.001) Accm: 2.78 (2.86) Acct: 4.49 (4.56) proj_loss: -0.6092 (-0.6038) time: 0.3634 data: 0.0003 [11-24 06:10:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:07 tlr: 9.5e-05 tnm: 0.45 Lm: 6.756 (6.759) Lt: 6.012 (6.054) Accm: 2.70 (2.64) Acct: 4.30 (4.17) proj_loss: -0.5829 (-0.5821) time: 0.3633 data: 0.0003 [11-24 06:10:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:07 tlr: 9.5e-05 tnm: 0.45 Lm: 6.740 (6.710) Lt: 6.014 (6.006) Accm: 2.80 (2.87) Acct: 4.56 (4.49) proj_loss: -0.6037 (-0.6042) time: 0.3634 data: 0.0003 [11-24 06:10:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:07 tlr: 9.5e-05 tnm: 0.45 Lm: 6.669 (6.671) Lt: 5.925 (5.937) Accm: 2.87 (2.96) Acct: 4.73 (4.84) proj_loss: -0.5884 (-0.5894) time: 0.3634 data: 0.0002 [11-24 06:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:35 tlr: 9.5e-05 tnm: 0.47 Lm: 6.691 (6.681) Lt: 5.948 (5.961) Accm: 2.91 (2.96) Acct: 4.67 (4.78) proj_loss: -0.5935 (-0.5920) time: 0.3613 data: 0.0002 [11-24 06:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:35 tlr: 9.5e-05 tnm: 0.47 Lm: 6.705 (6.697) Lt: 5.982 (5.975) Accm: 2.91 (2.91) Acct: 4.73 (4.66) proj_loss: -0.6026 (-0.6019) time: 0.3613 data: 0.0002 [11-24 06:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:35 tlr: 9.5e-05 tnm: 0.47 Lm: 6.704 (6.699) Lt: 6.000 (6.001) Accm: 2.91 (2.90) Acct: 4.53 (4.49) proj_loss: -0.6053 (-0.6049) time: 0.3613 data: 0.0002 [11-24 06:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:35 tlr: 9.5e-05 tnm: 0.47 Lm: 6.730 (6.745) Lt: 6.020 (6.047) Accm: 2.64 (2.63) Acct: 4.36 (4.25) proj_loss: -0.5834 (-0.5872) time: 0.3613 data: 0.0003 [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.704 (6.699) Lt: 6.012 (6.003) Accm: 2.70 (2.78) Acct: 4.41 (4.41) proj_loss: -0.5840 (-0.5903) time: 0.3643 data: 0.0020 [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.740 (6.713) Lt: 6.014 (6.017) Accm: 2.80 (2.87) Acct: 4.49 (4.40) proj_loss: -0.6037 (-0.6024) time: 0.3643 data: 0.0019 [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.669 (6.675) Lt: 5.959 (5.960) Accm: 2.94 (2.98) Acct: 4.73 (4.80) proj_loss: -0.5986 (-0.5984) time: 0.3643 data: 0.0021 [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.681 (6.694) Lt: 5.962 (5.972) Accm: 2.78 (2.86) Acct: 4.49 (4.61) proj_loss: -0.6092 (-0.6038) time: 0.3643 data: 0.0016 [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:16:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:16:06] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.725 (6.725), Lt: 6.017 (6.017), Acc m&t: 2.80 4.40, Remain: 21:36:10, Finish: 2024-11-24 11:52 [11-24 06:16:06] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.725 (6.725), Lt: 6.017 (6.017), Acc m&t: 2.80 4.40, Remain: 21:36:44, Finish: 2024-11-24 11:52 [11-24 06:16:06] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.725 (6.725), Lt: 6.017 (6.017), Acc m&t: 2.80 4.40, Remain: 21:36:55, Finish: 2024-11-24 11:53 [11-24 06:16:06] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.725 (6.725), Lt: 6.017 (6.017), Acc m&t: 2.80 4.40, Remain: 21:36:08, Finish: 2024-11-24 11:52 [11-24 06:16:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:32 tlr: 9.5e-05 tnm: 0.45 Lm: 6.708 (6.708) Lt: 6.029 (6.029) Accm: 2.82 (2.82) Acct: 4.18 (4.18) proj_loss: -0.6077 (-0.6077) time: 0.3429 data: 0.0004 [11-24 06:16:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:33 tlr: 9.5e-05 tnm: 0.45 Lm: 6.710 (6.710) Lt: 6.004 (6.004) Accm: 2.83 (2.83) Acct: 4.61 (4.61) proj_loss: -0.6021 (-0.6021) time: 0.3435 data: 0.0004 [11-24 06:16:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:33 tlr: 9.5e-05 tnm: 0.45 Lm: 6.737 (6.737) Lt: 6.001 (6.001) Accm: 2.72 (2.72) Acct: 4.36 (4.36) proj_loss: -0.6009 (-0.6009) time: 0.3438 data: 0.0004 [11-24 06:16:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:34 tlr: 9.5e-05 tnm: 0.45 Lm: 6.875 (6.875) Lt: 6.118 (6.118) Accm: 2.37 (2.37) Acct: 3.77 (3.77) proj_loss: -0.6056 (-0.6056) time: 0.3440 data: 0.0004 [11-24 06:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:59 tlr: 9.5e-05 tnm: 0.50 Lm: 6.657 (6.657) Lt: 5.905 (5.905) Accm: 2.98 (2.98) Acct: 4.72 (4.72) proj_loss: -0.6067 (-0.6067) time: 0.3635 data: 0.0003 [11-24 06:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:59 tlr: 9.5e-05 tnm: 0.50 Lm: 6.663 (6.663) Lt: 5.960 (5.960) Accm: 2.87 (2.87) Acct: 4.58 (4.58) proj_loss: -0.6068 (-0.6068) time: 0.3635 data: 0.0003 [11-24 06:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:59 tlr: 9.5e-05 tnm: 0.50 Lm: 6.755 (6.755) Lt: 6.069 (6.069) Accm: 2.67 (2.67) Acct: 4.22 (4.22) proj_loss: -0.5992 (-0.5992) time: 0.3635 data: 0.0003 [11-24 06:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:59 tlr: 9.5e-05 tnm: 0.50 Lm: 6.812 (6.812) Lt: 6.161 (6.161) Accm: 2.59 (2.59) Acct: 3.92 (3.92) proj_loss: -0.6132 (-0.6132) time: 0.3635 data: 0.0003 [11-24 06:21:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:12 tlr: 9.5e-05 tnm: 0.46 Lm: 6.894 (6.839) Lt: 6.230 (6.184) Accm: 2.48 (2.55) Acct: 4.18 (4.03) proj_loss: -0.6077 (-0.6088) time: 0.3652 data: 0.0003 [11-24 06:21:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:12 tlr: 9.5e-05 tnm: 0.46 Lm: 6.615 (6.631) Lt: 5.916 (5.911) Accm: 2.91 (2.98) Acct: 4.61 (4.83) proj_loss: -0.6021 (-0.6040) time: 0.3652 data: 0.0003 [11-24 06:21:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:12 tlr: 9.5e-05 tnm: 0.46 Lm: 6.737 (6.675) Lt: 6.001 (5.989) Accm: 2.72 (2.88) Acct: 4.36 (4.56) proj_loss: -0.5987 (-0.5990) time: 0.3652 data: 0.0003 [11-24 06:21:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:12 tlr: 9.5e-05 tnm: 0.46 Lm: 6.803 (6.705) Lt: 6.118 (5.983) Accm: 2.58 (2.85) Acct: 4.01 (4.48) proj_loss: -0.6056 (-0.5954) time: 0.3653 data: 0.0003 [11-24 06:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:35 tlr: 9.4e-05 tnm: 0.47 Lm: 6.773 (6.715) Lt: 6.118 (6.017) Accm: 2.65 (2.82) Acct: 3.98 (4.35) proj_loss: -0.6067 (-0.6004) time: 0.3630 data: 0.0002 [11-24 06:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:35 tlr: 9.4e-05 tnm: 0.47 Lm: 6.663 (6.694) Lt: 5.960 (5.991) Accm: 2.87 (2.90) Acct: 4.58 (4.70) proj_loss: -0.6002 (-0.5981) time: 0.3630 data: 0.0003 [11-24 06:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:35 tlr: 9.4e-05 tnm: 0.47 Lm: 6.711 (6.678) Lt: 5.969 (5.976) Accm: 2.77 (2.87) Acct: 4.28 (4.47) proj_loss: -0.5998 (-0.6005) time: 0.3630 data: 0.0003 [11-24 06:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:35 tlr: 9.4e-05 tnm: 0.47 Lm: 6.812 (6.812) Lt: 6.129 (6.134) Accm: 2.62 (2.60) Acct: 4.23 (4.11) proj_loss: -0.6043 (-0.6068) time: 0.3630 data: 0.0003 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.48 Lm: 6.760 (6.802) Lt: 6.074 (6.122) Accm: 2.76 (2.64) Acct: 4.27 (4.16) proj_loss: -0.6009 (-0.6046) time: 0.3628 data: 0.0015 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.48 Lm: 6.710 (6.719) Lt: 6.004 (6.022) Accm: 2.83 (2.86) Acct: 4.55 (4.58) proj_loss: -0.5983 (-0.5978) time: 0.3628 data: 0.0020 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.48 Lm: 6.707 (6.684) Lt: 5.978 (5.976) Accm: 2.82 (2.86) Acct: 4.36 (4.47) proj_loss: -0.5996 (-0.6003) time: 0.3628 data: 0.0021 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.48 Lm: 6.788 (6.729) Lt: 6.118 (6.035) Accm: 2.62 (2.78) Acct: 3.94 (4.26) proj_loss: -0.6056 (-0.5982) time: 0.3628 data: 0.0018 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:26:23] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.715 (6.715), Lt: 6.007 (6.007), Acc m&t: 2.83 4.41, Remain: 21:18:11, Finish: 2024-11-24 11:44 [11-24 06:26:23] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.715 (6.715), Lt: 6.007 (6.007), Acc m&t: 2.83 4.41, Remain: 21:18:14, Finish: 2024-11-24 11:44 [11-24 06:26:23] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.715 (6.715), Lt: 6.007 (6.007), Acc m&t: 2.83 4.41, Remain: 21:17:37, Finish: 2024-11-24 11:43 [11-24 06:26:23] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.715 (6.715), Lt: 6.007 (6.007), Acc m&t: 2.83 4.41, Remain: 21:17:27, Finish: 2024-11-24 11:43 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:10:07 tlr: 9.4e-05 tnm: 0.46 Lm: 6.735 (6.735) Lt: 6.043 (6.043) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.5956 (-0.5956) time: 0.3641 data: 0.0004 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:10:09 tlr: 9.4e-05 tnm: 0.46 Lm: 6.899 (6.899) Lt: 6.262 (6.262) Accm: 2.40 (2.40) Acct: 3.68 (3.68) proj_loss: -0.6135 (-0.6135) time: 0.3652 data: 0.0004 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:10:06 tlr: 9.4e-05 tnm: 0.46 Lm: 6.889 (6.889) Lt: 6.205 (6.205) Accm: 2.76 (2.76) Acct: 4.25 (4.25) proj_loss: -0.6208 (-0.6208) time: 0.3632 data: 0.0004 [11-24 06:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:10:11 tlr: 9.4e-05 tnm: 0.46 Lm: 6.925 (6.925) Lt: 6.263 (6.263) Accm: 2.37 (2.37) Acct: 3.74 (3.74) proj_loss: -0.6228 (-0.6228) time: 0.3665 data: 0.0004 [11-24 06:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:32 tlr: 9.4e-05 tnm: 0.45 Lm: 6.903 (6.903) Lt: 6.216 (6.216) Accm: 2.50 (2.50) Acct: 3.95 (3.95) proj_loss: -0.6040 (-0.6040) time: 0.3635 data: 0.0003 [11-24 06:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:32 tlr: 9.4e-05 tnm: 0.45 Lm: 6.774 (6.774) Lt: 6.077 (6.077) Accm: 2.71 (2.71) Acct: 4.36 (4.36) proj_loss: -0.6072 (-0.6072) time: 0.3635 data: 0.0003 [11-24 06:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:32 tlr: 9.4e-05 tnm: 0.45 Lm: 6.783 (6.783) Lt: 6.059 (6.059) Accm: 2.84 (2.84) Acct: 4.62 (4.62) proj_loss: -0.5991 (-0.5991) time: 0.3635 data: 0.0003 [11-24 06:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:32 tlr: 9.4e-05 tnm: 0.45 Lm: 6.748 (6.748) Lt: 6.057 (6.057) Accm: 2.60 (2.60) Acct: 4.07 (4.07) proj_loss: -0.5876 (-0.5876) time: 0.3635 data: 0.0003 [11-24 06:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:02 tlr: 9.4e-05 tnm: 0.46 Lm: 6.761 (6.788) Lt: 6.070 (6.107) Accm: 2.59 (2.55) Acct: 4.03 (3.99) proj_loss: -0.5956 (-0.5918) time: 0.3634 data: 0.0003 [11-24 06:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:02 tlr: 9.4e-05 tnm: 0.46 Lm: 6.750 (6.766) Lt: 6.044 (6.066) Accm: 2.45 (2.62) Acct: 3.68 (4.09) proj_loss: -0.6008 (-0.5997) time: 0.3634 data: 0.0003 [11-24 06:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:02 tlr: 9.4e-05 tnm: 0.46 Lm: 6.880 (6.851) Lt: 6.168 (6.164) Accm: 2.63 (2.63) Acct: 4.17 (4.19) proj_loss: -0.5876 (-0.5986) time: 0.3634 data: 0.0002 [11-24 06:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:02 tlr: 9.4e-05 tnm: 0.46 Lm: 6.721 (6.762) Lt: 6.024 (6.047) Accm: 2.90 (2.86) Acct: 4.63 (4.63) proj_loss: -0.6019 (-0.6001) time: 0.3634 data: 0.0003 [11-24 06:33:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.49 Lm: 6.699 (6.713) Lt: 5.968 (5.997) Accm: 2.91 (2.93) Acct: 4.73 (4.68) proj_loss: -0.6044 (-0.6017) time: 0.3641 data: 0.0002 [11-24 06:33:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.49 Lm: 6.732 (6.753) Lt: 6.028 (6.052) Accm: 2.72 (2.72) Acct: 4.23 (4.26) proj_loss: -0.5927 (-0.5951) time: 0.3641 data: 0.0002 [11-24 06:33:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.49 Lm: 6.753 (6.777) Lt: 6.072 (6.099) Accm: 2.60 (2.59) Acct: 4.07 (4.05) proj_loss: -0.5979 (-0.5945) time: 0.3641 data: 0.0002 [11-24 06:33:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.49 Lm: 6.817 (6.827) Lt: 6.114 (6.133) Accm: 2.62 (2.63) Acct: 4.14 (4.17) proj_loss: -0.5948 (-0.5994) time: 0.3641 data: 0.0002 [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.753 (6.784) Lt: 6.059 (6.077) Accm: 2.63 (2.76) Acct: 4.17 (4.42) proj_loss: -0.5876 (-0.5970) time: 0.3616 data: 0.0016 [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:05 (0.363 s / it) [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.714 (6.741) Lt: 6.011 (6.035) Accm: 2.53 (2.68) Acct: 4.03 (4.21) proj_loss: -0.6008 (-0.5978) time: 0.3616 data: 0.0022 [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.761 (6.777) Lt: 6.074 (6.097) Accm: 2.59 (2.57) Acct: 4.03 (4.03) proj_loss: -0.6003 (-0.5974) time: 0.3616 data: 0.0018 [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.715 (6.713) Lt: 6.012 (6.000) Accm: 2.90 (2.91) Acct: 4.63 (4.62) proj_loss: -0.6019 (-0.6009) time: 0.3616 data: 0.0017 [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:05 (0.363 s / it) [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:05 (0.363 s / it) [11-24 06:36:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:05 (0.363 s / it) [11-24 06:36:28] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.715 (6.733), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:57:49, Finish: 2024-11-24 11:34 [11-24 06:36:28] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.715 (6.733), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:58:06, Finish: 2024-11-24 11:34 [11-24 06:36:28] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.715 (6.733), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:57:18, Finish: 2024-11-24 11:33 [11-24 06:36:28] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.715 (6.733), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:58:02, Finish: 2024-11-24 11:34 [11-24 06:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:10:07 tlr: 9.4e-05 tnm: 0.47 Lm: 6.717 (6.717) Lt: 6.084 (6.084) Accm: 3.02 (3.02) Acct: 4.75 (4.75) proj_loss: -0.6015 (-0.6015) time: 0.3641 data: 0.0004 [11-24 06:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:10:07 tlr: 9.4e-05 tnm: 0.47 Lm: 6.753 (6.753) Lt: 6.048 (6.048) Accm: 2.74 (2.74) Acct: 4.44 (4.44) proj_loss: -0.6130 (-0.6130) time: 0.3638 data: 0.0004 [11-24 06:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:10:04 tlr: 9.4e-05 tnm: 0.47 Lm: 6.570 (6.570) Lt: 5.825 (5.825) Accm: 3.19 (3.19) Acct: 5.06 (5.06) proj_loss: -0.6052 (-0.6052) time: 0.3622 data: 0.0004 [11-24 06:36:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:10:09 tlr: 9.4e-05 tnm: 0.47 Lm: 6.745 (6.745) Lt: 6.036 (6.036) Accm: 2.59 (2.59) Acct: 3.87 (3.87) proj_loss: -0.5927 (-0.5927) time: 0.3654 data: 0.0004 [11-24 06:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:39 tlr: 9.3e-05 tnm: 0.46 Lm: 6.654 (6.654) Lt: 5.927 (5.927) Accm: 2.96 (2.96) Acct: 4.61 (4.61) proj_loss: -0.6008 (-0.6008) time: 0.3640 data: 0.0003 [11-24 06:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:39 tlr: 9.3e-05 tnm: 0.46 Lm: 6.748 (6.748) Lt: 6.071 (6.071) Accm: 2.82 (2.82) Acct: 4.53 (4.53) proj_loss: -0.5947 (-0.5947) time: 0.3640 data: 0.0003 [11-24 06:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:39 tlr: 9.3e-05 tnm: 0.46 Lm: 6.683 (6.683) Lt: 5.971 (5.971) Accm: 2.92 (2.92) Acct: 4.64 (4.64) proj_loss: -0.5956 (-0.5956) time: 0.3640 data: 0.0003 [11-24 06:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:39 tlr: 9.3e-05 tnm: 0.46 Lm: 6.733 (6.733) Lt: 6.019 (6.019) Accm: 2.76 (2.76) Acct: 4.30 (4.30) proj_loss: -0.6051 (-0.6051) time: 0.3640 data: 0.0003 [11-24 06:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:08 tlr: 9.3e-05 tnm: 0.47 Lm: 6.751 (6.706) Lt: 5.974 (5.972) Accm: 2.64 (2.81) Acct: 4.41 (4.56) proj_loss: -0.6052 (-0.6012) time: 0.4034 data: 0.0003 [11-24 06:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:08 tlr: 9.3e-05 tnm: 0.47 Lm: 6.717 (6.734) Lt: 6.058 (6.057) Accm: 2.96 (2.87) Acct: 4.37 (4.48) proj_loss: -0.6015 (-0.6036) time: 0.4034 data: 0.0003 [11-24 06:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:08 tlr: 9.3e-05 tnm: 0.47 Lm: 6.753 (6.749) Lt: 6.048 (6.043) Accm: 2.77 (2.77) Acct: 4.22 (4.27) proj_loss: -0.6093 (-0.6065) time: 0.4034 data: 0.0003 [11-24 06:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:08 tlr: 9.3e-05 tnm: 0.47 Lm: 6.745 (6.725) Lt: 6.036 (6.009) Accm: 2.62 (2.84) Acct: 4.08 (4.44) proj_loss: -0.5927 (-0.5939) time: 0.4034 data: 0.0003 [11-24 06:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:35 tlr: 9.3e-05 tnm: 0.47 Lm: 6.754 (6.734) Lt: 6.026 (6.011) Accm: 2.75 (2.86) Acct: 4.34 (4.48) proj_loss: -0.5937 (-0.5940) time: 0.3617 data: 0.0003 [11-24 06:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:35 tlr: 9.3e-05 tnm: 0.47 Lm: 6.748 (6.778) Lt: 6.071 (6.087) Accm: 2.79 (2.76) Acct: 4.34 (4.33) proj_loss: -0.5947 (-0.5979) time: 0.3617 data: 0.0003 [11-24 06:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:35 tlr: 9.3e-05 tnm: 0.47 Lm: 6.705 (6.694) Lt: 5.982 (5.976) Accm: 2.73 (2.82) Acct: 4.39 (4.52) proj_loss: -0.6087 (-0.6047) time: 0.3617 data: 0.0003 [11-24 06:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:35 tlr: 9.3e-05 tnm: 0.47 Lm: 6.733 (6.718) Lt: 6.019 (6.000) Accm: 2.78 (2.77) Acct: 4.33 (4.32) proj_loss: -0.6045 (-0.6048) time: 0.3617 data: 0.0002 [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.48 Lm: 6.712 (6.712) Lt: 5.989 (5.986) Accm: 2.79 (2.79) Acct: 4.27 (4.31) proj_loss: -0.5998 (-0.6002) time: 0.4125 data: 0.0017 [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.48 Lm: 6.722 (6.767) Lt: 6.058 (6.062) Accm: 2.76 (2.76) Acct: 4.30 (4.33) proj_loss: -0.5879 (-0.5944) time: 0.4125 data: 0.0019 [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.48 Lm: 6.702 (6.696) Lt: 5.989 (5.980) Accm: 2.82 (2.82) Acct: 4.41 (4.51) proj_loss: -0.6059 (-0.6049) time: 0.4125 data: 0.0016 [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.48 Lm: 6.745 (6.723) Lt: 6.017 (6.003) Accm: 2.89 (2.87) Acct: 4.60 (4.54) proj_loss: -0.5934 (-0.5939) time: 0.4125 data: 0.0020 [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:46:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:23 (0.374 s / it) [11-24 06:46:55] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.715 (6.734), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 21:11:04, Finish: 2024-11-24 11:58 [11-24 06:46:55] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.715 (6.734), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 21:11:24, Finish: 2024-11-24 11:58 [11-24 06:46:55] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.715 (6.734), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 21:11:06, Finish: 2024-11-24 11:58 [11-24 06:46:55] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.715 (6.734), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 21:10:51, Finish: 2024-11-24 11:57 [11-24 06:46:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:09:53 tlr: 9.3e-05 tnm: 0.47 Lm: 6.890 (6.890) Lt: 6.176 (6.176) Accm: 2.59 (2.59) Acct: 4.20 (4.20) proj_loss: -0.5910 (-0.5910) time: 0.3554 data: 0.0004 [11-24 06:46:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:09:56 tlr: 9.3e-05 tnm: 0.47 Lm: 6.565 (6.565) Lt: 5.841 (5.841) Accm: 3.26 (3.26) Acct: 4.89 (4.89) proj_loss: -0.5981 (-0.5981) time: 0.3573 data: 0.0003 [11-24 06:46:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:09:56 tlr: 9.3e-05 tnm: 0.47 Lm: 6.727 (6.727) Lt: 6.023 (6.023) Accm: 2.67 (2.67) Acct: 4.06 (4.06) proj_loss: -0.5733 (-0.5733) time: 0.3575 data: 0.0004 [11-24 06:46:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:09:57 tlr: 9.3e-05 tnm: 0.47 Lm: 6.693 (6.693) Lt: 5.960 (5.960) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: -0.5846 (-0.5846) time: 0.3578 data: 0.0005 [11-24 06:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:58 tlr: 9.3e-05 tnm: 0.46 Lm: 6.650 (6.650) Lt: 5.956 (5.956) Accm: 3.04 (3.04) Acct: 4.61 (4.61) proj_loss: -0.6008 (-0.6008) time: 0.3608 data: 0.0003 [11-24 06:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:58 tlr: 9.3e-05 tnm: 0.46 Lm: 6.718 (6.718) Lt: 6.022 (6.022) Accm: 2.74 (2.74) Acct: 4.13 (4.13) proj_loss: -0.5862 (-0.5862) time: 0.3608 data: 0.0003 [11-24 06:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:58 tlr: 9.3e-05 tnm: 0.46 Lm: 6.758 (6.758) Lt: 6.052 (6.052) Accm: 2.89 (2.89) Acct: 4.49 (4.49) proj_loss: -0.5788 (-0.5788) time: 0.3608 data: 0.0003 [11-24 06:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:58 tlr: 9.3e-05 tnm: 0.46 Lm: 6.739 (6.739) Lt: 6.019 (6.019) Accm: 2.77 (2.77) Acct: 4.47 (4.47) proj_loss: -0.5888 (-0.5888) time: 0.3608 data: 0.0003 [11-24 06:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:13 tlr: 9.2e-05 tnm: 0.49 Lm: 6.785 (6.802) Lt: 6.077 (6.079) Accm: 2.67 (2.65) Acct: 4.39 (4.22) proj_loss: -0.5846 (-0.5857) time: 0.4074 data: 0.0003 [11-24 06:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:13 tlr: 9.2e-05 tnm: 0.49 Lm: 6.659 (6.653) Lt: 5.982 (5.964) Accm: 2.89 (2.99) Acct: 4.49 (4.57) proj_loss: -0.5981 (-0.5968) time: 0.4074 data: 0.0003 [11-24 06:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:13 tlr: 9.2e-05 tnm: 0.49 Lm: 6.880 (6.799) Lt: 6.176 (6.106) Accm: 2.59 (2.71) Acct: 4.20 (4.22) proj_loss: -0.5910 (-0.5835) time: 0.4074 data: 0.0003 [11-24 06:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:13 tlr: 9.2e-05 tnm: 0.49 Lm: 6.727 (6.728) Lt: 6.023 (6.029) Accm: 2.72 (2.73) Acct: 4.20 (4.20) proj_loss: -0.5925 (-0.5883) time: 0.4074 data: 0.0003 [11-24 06:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:35 tlr: 9.2e-05 tnm: 0.49 Lm: 6.737 (6.747) Lt: 6.033 (6.037) Accm: 2.69 (2.68) Acct: 4.13 (4.14) proj_loss: -0.5850 (-0.5856) time: 0.3623 data: 0.0003 [11-24 06:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:35 tlr: 9.2e-05 tnm: 0.49 Lm: 6.696 (6.695) Lt: 6.026 (6.007) Accm: 2.86 (2.87) Acct: 4.41 (4.39) proj_loss: -0.6008 (-0.6008) time: 0.3623 data: 0.0003 [11-24 06:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:35 tlr: 9.2e-05 tnm: 0.49 Lm: 6.739 (6.772) Lt: 6.020 (6.050) Accm: 2.77 (2.75) Acct: 4.47 (4.36) proj_loss: -0.5820 (-0.5831) time: 0.3623 data: 0.0003 [11-24 06:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:35 tlr: 9.2e-05 tnm: 0.49 Lm: 6.753 (6.749) Lt: 6.052 (6.051) Accm: 2.87 (2.82) Acct: 4.49 (4.44) proj_loss: -0.5919 (-0.5877) time: 0.3623 data: 0.0003 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.48 Lm: 6.734 (6.713) Lt: 6.070 (6.026) Accm: 2.88 (2.88) Acct: 4.49 (4.41) proj_loss: -0.6034 (-0.6023) time: 0.3650 data: 0.0016 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.48 Lm: 6.738 (6.745) Lt: 6.042 (6.038) Accm: 2.72 (2.72) Acct: 4.20 (4.23) proj_loss: -0.5925 (-0.5890) time: 0.3650 data: 0.0018 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.48 Lm: 6.693 (6.752) Lt: 5.972 (6.034) Accm: 2.88 (2.82) Acct: 4.55 (4.48) proj_loss: -0.5846 (-0.5840) time: 0.3650 data: 0.0017 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.48 Lm: 6.866 (6.772) Lt: 6.166 (6.074) Accm: 2.59 (2.75) Acct: 4.20 (4.35) proj_loss: -0.5929 (-0.5924) time: 0.3650 data: 0.0018 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:16 (0.369 s / it) [11-24 06:57:12] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.715 (6.737), Lt: 6.007 (6.033), Acc m&t: 2.83 4.41, Remain: 20:52:01, Finish: 2024-11-24 11:49 [11-24 06:57:12] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.715 (6.737), Lt: 6.007 (6.033), Acc m&t: 2.83 4.41, Remain: 20:52:40, Finish: 2024-11-24 11:49 [11-24 06:57:12] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.715 (6.737), Lt: 6.007 (6.033), Acc m&t: 2.83 4.41, Remain: 20:52:11, Finish: 2024-11-24 11:49 [11-24 06:57:12] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.715 (6.737), Lt: 6.007 (6.033), Acc m&t: 2.83 4.41, Remain: 20:51:59, Finish: 2024-11-24 11:49 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:10:03 tlr: 9.2e-05 tnm: 0.47 Lm: 6.763 (6.763) Lt: 6.071 (6.071) Accm: 2.61 (2.61) Acct: 3.99 (3.99) proj_loss: -0.6232 (-0.6232) time: 0.3615 data: 0.0003 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:10:05 tlr: 9.2e-05 tnm: 0.47 Lm: 6.825 (6.825) Lt: 6.128 (6.128) Accm: 2.63 (2.63) Acct: 3.74 (3.74) proj_loss: -0.5885 (-0.5885) time: 0.3627 data: 0.0004 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:10:05 tlr: 9.2e-05 tnm: 0.47 Lm: 6.725 (6.725) Lt: 6.050 (6.050) Accm: 2.98 (2.98) Acct: 4.48 (4.48) proj_loss: -0.6095 (-0.6095) time: 0.3627 data: 0.0004 [11-24 06:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:10:05 tlr: 9.2e-05 tnm: 0.47 Lm: 6.832 (6.832) Lt: 6.121 (6.121) Accm: 2.59 (2.59) Acct: 4.10 (4.10) proj_loss: -0.5790 (-0.5790) time: 0.3628 data: 0.0004 [11-24 06:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:34 tlr: 9.2e-05 tnm: 0.46 Lm: 6.684 (6.684) Lt: 5.969 (5.969) Accm: 2.93 (2.93) Acct: 4.59 (4.59) proj_loss: -0.5846 (-0.5846) time: 0.3648 data: 0.0003 [11-24 06:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:34 tlr: 9.2e-05 tnm: 0.46 Lm: 6.826 (6.826) Lt: 6.109 (6.109) Accm: 2.72 (2.72) Acct: 4.13 (4.13) proj_loss: -0.5867 (-0.5867) time: 0.3648 data: 0.0003 [11-24 06:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:34 tlr: 9.2e-05 tnm: 0.46 Lm: 6.729 (6.729) Lt: 6.033 (6.033) Accm: 2.78 (2.78) Acct: 4.30 (4.30) proj_loss: -0.6268 (-0.6268) time: 0.3648 data: 0.0003 [11-24 06:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:34 tlr: 9.2e-05 tnm: 0.46 Lm: 6.741 (6.741) Lt: 6.034 (6.034) Accm: 2.83 (2.83) Acct: 4.36 (4.36) proj_loss: -0.5958 (-0.5958) time: 0.3648 data: 0.0003 [11-24 07:02:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:03 tlr: 9.2e-05 tnm: 0.47 Lm: 6.725 (6.735) Lt: 6.018 (6.017) Accm: 2.78 (2.81) Acct: 4.48 (4.42) proj_loss: -0.5822 (-0.5892) time: 0.3644 data: 0.0002 [11-24 07:02:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:03 tlr: 9.2e-05 tnm: 0.47 Lm: 6.695 (6.710) Lt: 5.996 (5.990) Accm: 2.95 (2.85) Acct: 4.61 (4.51) proj_loss: -0.6232 (-0.6116) time: 0.3644 data: 0.0002 [11-24 07:02:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:03 tlr: 9.2e-05 tnm: 0.47 Lm: 6.666 (6.678) Lt: 5.980 (5.973) Accm: 2.97 (2.94) Acct: 4.68 (4.62) proj_loss: -0.5880 (-0.5857) time: 0.3644 data: 0.0003 [11-24 07:02:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:03 tlr: 9.2e-05 tnm: 0.47 Lm: 6.827 (6.851) Lt: 6.128 (6.158) Accm: 2.63 (2.50) Acct: 3.74 (3.77) proj_loss: -0.5885 (-0.5882) time: 0.3644 data: 0.0003 [11-24 07:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.48 Lm: 6.855 (6.859) Lt: 6.159 (6.166) Accm: 2.39 (2.41) Acct: 3.53 (3.66) proj_loss: -0.5899 (-0.5898) time: 0.3630 data: 0.0003 [11-24 07:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.48 Lm: 6.724 (6.701) Lt: 6.000 (5.988) Accm: 2.87 (2.85) Acct: 4.52 (4.50) proj_loss: -0.5958 (-0.5970) time: 0.3630 data: 0.0003 [11-24 07:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.48 Lm: 6.602 (6.638) Lt: 5.898 (5.928) Accm: 3.07 (3.00) Acct: 4.78 (4.68) proj_loss: -0.5890 (-0.5912) time: 0.3630 data: 0.0003 [11-24 07:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.48 Lm: 6.684 (6.684) Lt: 5.950 (5.967) Accm: 2.97 (2.92) Acct: 4.77 (4.64) proj_loss: -0.6077 (-0.6067) time: 0.3630 data: 0.0003 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.695 (6.705) Lt: 5.996 (5.995) Accm: 2.95 (2.88) Acct: 4.61 (4.54) proj_loss: -0.5921 (-0.5995) time: 0.3641 data: 0.0019 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.827 (6.831) Lt: 6.128 (6.136) Accm: 2.63 (2.52) Acct: 3.74 (3.86) proj_loss: -0.5914 (-0.5914) time: 0.3641 data: 0.0017 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.666 (6.667) Lt: 5.980 (5.949) Accm: 2.97 (2.96) Acct: 4.68 (4.65) proj_loss: -0.5880 (-0.5894) time: 0.3641 data: 0.0021 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.723 (6.695) Lt: 5.982 (5.978) Accm: 2.95 (2.88) Acct: 4.56 (4.52) proj_loss: -0.6095 (-0.6019) time: 0.3641 data: 0.0019 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:07:19] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.715 (6.730), Lt: 6.007 (6.023), Acc m&t: 2.83 4.41, Remain: 20:35:53, Finish: 2024-11-24 11:43 [11-24 07:07:19] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.715 (6.730), Lt: 6.007 (6.023), Acc m&t: 2.83 4.41, Remain: 20:36:15, Finish: 2024-11-24 11:43 [11-24 07:07:19] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.715 (6.730), Lt: 6.007 (6.023), Acc m&t: 2.83 4.41, Remain: 20:35:57, Finish: 2024-11-24 11:43 [11-24 07:07:19] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.715 (6.730), Lt: 6.007 (6.023), Acc m&t: 2.83 4.41, Remain: 20:35:54, Finish: 2024-11-24 11:43 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:46 tlr: 9.1e-05 tnm: 0.48 Lm: 6.814 (6.814) Lt: 6.103 (6.103) Accm: 2.48 (2.48) Acct: 3.98 (3.98) proj_loss: -0.5897 (-0.5897) time: 0.3517 data: 0.0004 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:45 tlr: 9.1e-05 tnm: 0.48 Lm: 6.682 (6.682) Lt: 5.949 (5.949) Accm: 2.88 (2.88) Acct: 4.61 (4.61) proj_loss: -0.5957 (-0.5957) time: 0.3508 data: 0.0004 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:47 tlr: 9.1e-05 tnm: 0.48 Lm: 6.755 (6.755) Lt: 6.060 (6.060) Accm: 2.71 (2.71) Acct: 4.32 (4.32) proj_loss: -0.5855 (-0.5855) time: 0.3519 data: 0.0003 [11-24 07:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:46 tlr: 9.1e-05 tnm: 0.48 Lm: 6.885 (6.885) Lt: 6.204 (6.204) Accm: 2.39 (2.39) Acct: 3.91 (3.91) proj_loss: -0.6084 (-0.6084) time: 0.3517 data: 0.0004 [11-24 07:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:36 tlr: 9.1e-05 tnm: 0.50 Lm: 6.815 (6.815) Lt: 6.122 (6.122) Accm: 2.56 (2.56) Acct: 4.13 (4.13) proj_loss: -0.5867 (-0.5867) time: 0.3610 data: 0.0003 [11-24 07:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:36 tlr: 9.1e-05 tnm: 0.50 Lm: 6.851 (6.851) Lt: 6.144 (6.144) Accm: 2.47 (2.47) Acct: 3.91 (3.91) proj_loss: -0.5812 (-0.5812) time: 0.3610 data: 0.0003 [11-24 07:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:36 tlr: 9.1e-05 tnm: 0.50 Lm: 6.761 (6.761) Lt: 6.040 (6.040) Accm: 2.68 (2.68) Acct: 4.24 (4.24) proj_loss: -0.5872 (-0.5872) time: 0.3610 data: 0.0003 [11-24 07:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:36 tlr: 9.1e-05 tnm: 0.50 Lm: 6.797 (6.797) Lt: 6.095 (6.095) Accm: 2.58 (2.58) Acct: 4.24 (4.24) proj_loss: -0.5973 (-0.5973) time: 0.3610 data: 0.0003 [11-24 07:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:09 tlr: 9.1e-05 tnm: 0.46 Lm: 6.752 (6.782) Lt: 6.071 (6.087) Accm: 2.78 (2.64) Acct: 4.30 (4.26) proj_loss: -0.5957 (-0.5916) time: 0.3618 data: 0.0003 [11-24 07:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:09 tlr: 9.1e-05 tnm: 0.46 Lm: 6.755 (6.790) Lt: 6.060 (6.062) Accm: 2.71 (2.66) Acct: 4.32 (4.21) proj_loss: -0.5787 (-0.5803) time: 0.3618 data: 0.0002 [11-24 07:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:09 tlr: 9.1e-05 tnm: 0.46 Lm: 6.780 (6.804) Lt: 6.041 (6.088) Accm: 2.72 (2.66) Acct: 4.36 (4.25) proj_loss: -0.5939 (-0.5891) time: 0.3618 data: 0.0003 [11-24 07:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:09 tlr: 9.1e-05 tnm: 0.46 Lm: 6.814 (6.798) Lt: 6.103 (6.094) Accm: 2.53 (2.63) Acct: 4.01 (4.16) proj_loss: -0.5897 (-0.5945) time: 0.3618 data: 0.0003 [11-24 07:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:36 tlr: 9.1e-05 tnm: 0.46 Lm: 6.770 (6.780) Lt: 6.084 (6.086) Accm: 2.58 (2.63) Acct: 4.01 (4.12) proj_loss: -0.5872 (-0.5896) time: 0.4011 data: 0.0003 [11-24 07:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:36 tlr: 9.1e-05 tnm: 0.46 Lm: 6.742 (6.775) Lt: 6.063 (6.063) Accm: 2.81 (2.72) Acct: 4.39 (4.27) proj_loss: -0.5821 (-0.5853) time: 0.4011 data: 0.0003 [11-24 07:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:36 tlr: 9.1e-05 tnm: 0.46 Lm: 6.763 (6.758) Lt: 6.030 (6.037) Accm: 2.80 (2.73) Acct: 4.42 (4.39) proj_loss: -0.5982 (-0.5924) time: 0.4012 data: 0.0003 [11-24 07:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:36 tlr: 9.1e-05 tnm: 0.46 Lm: 6.810 (6.803) Lt: 6.123 (6.109) Accm: 2.59 (2.58) Acct: 4.19 (4.21) proj_loss: -0.5973 (-0.5944) time: 0.4012 data: 0.0003 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.46 Lm: 6.752 (6.781) Lt: 6.071 (6.080) Accm: 2.72 (2.61) Acct: 4.29 (4.23) proj_loss: -0.5990 (-0.5958) time: 0.4106 data: 0.0015 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.46 Lm: 6.730 (6.770) Lt: 6.065 (6.069) Accm: 2.63 (2.65) Acct: 4.01 (4.16) proj_loss: -0.5897 (-0.5906) time: 0.4106 data: 0.0020 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.46 Lm: 6.755 (6.772) Lt: 6.065 (6.069) Accm: 2.71 (2.69) Acct: 4.32 (4.19) proj_loss: -0.5855 (-0.5875) time: 0.4106 data: 0.0016 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.46 Lm: 6.746 (6.730) Lt: 6.018 (6.016) Accm: 2.87 (2.83) Acct: 4.48 (4.49) proj_loss: -0.5939 (-0.5918) time: 0.4106 data: 0.0020 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:28 (0.376 s / it) [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:28 (0.376 s / it) [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:28 (0.376 s / it) [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:28 (0.376 s / it) [11-24 07:17:47] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.715 (6.728), Lt: 6.007 (6.022), Acc m&t: 2.83 4.41, Remain: 20:34:58, Finish: 2024-11-24 11:52 [11-24 07:17:47] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.715 (6.728), Lt: 6.007 (6.022), Acc m&t: 2.83 4.41, Remain: 20:36:15, Finish: 2024-11-24 11:54 [11-24 07:17:47] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.715 (6.728), Lt: 6.007 (6.022), Acc m&t: 2.83 4.41, Remain: 20:35:38, Finish: 2024-11-24 11:53 [11-24 07:17:47] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.715 (6.728), Lt: 6.007 (6.022), Acc m&t: 2.83 4.41, Remain: 20:35:29, Finish: 2024-11-24 11:53 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:31 tlr: 9.1e-05 tnm: 0.46 Lm: 6.642 (6.642) Lt: 5.930 (5.930) Accm: 3.22 (3.22) Acct: 5.01 (5.01) proj_loss: -0.5875 (-0.5875) time: 0.3426 data: 0.0003 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:32 tlr: 9.1e-05 tnm: 0.46 Lm: 6.909 (6.909) Lt: 6.259 (6.259) Accm: 2.51 (2.51) Acct: 3.96 (3.96) proj_loss: -0.5850 (-0.5850) time: 0.3432 data: 0.0004 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:31 tlr: 9.1e-05 tnm: 0.46 Lm: 6.645 (6.645) Lt: 5.855 (5.855) Accm: 2.98 (2.98) Acct: 4.96 (4.96) proj_loss: -0.6139 (-0.6139) time: 0.3426 data: 0.0004 [11-24 07:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:33 tlr: 9.1e-05 tnm: 0.46 Lm: 6.916 (6.916) Lt: 6.258 (6.258) Accm: 2.35 (2.35) Acct: 3.67 (3.67) proj_loss: -0.6056 (-0.6056) time: 0.3434 data: 0.0003 [11-24 07:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:42 tlr: 9e-05 tnm: 0.51 Lm: 6.803 (6.803) Lt: 6.104 (6.104) Accm: 2.57 (2.57) Acct: 3.97 (3.97) proj_loss: -0.5948 (-0.5948) time: 0.3627 data: 0.0002 [11-24 07:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:42 tlr: 9e-05 tnm: 0.51 Lm: 6.724 (6.724) Lt: 6.005 (6.005) Accm: 2.94 (2.94) Acct: 4.61 (4.61) proj_loss: -0.5822 (-0.5822) time: 0.3627 data: 0.0003 [11-24 07:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:42 tlr: 9e-05 tnm: 0.51 Lm: 6.698 (6.698) Lt: 6.031 (6.031) Accm: 2.78 (2.78) Acct: 4.37 (4.37) proj_loss: -0.6040 (-0.6040) time: 0.3627 data: 0.0003 [11-24 07:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:42 tlr: 9e-05 tnm: 0.51 Lm: 6.693 (6.693) Lt: 5.961 (5.961) Accm: 2.86 (2.86) Acct: 4.54 (4.54) proj_loss: -0.6062 (-0.6062) time: 0.3627 data: 0.0003 [11-24 07:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:07 tlr: 9e-05 tnm: 0.48 Lm: 6.741 (6.751) Lt: 6.067 (6.045) Accm: 2.74 (2.74) Acct: 4.12 (4.29) proj_loss: -0.5986 (-0.6027) time: 0.3636 data: 0.0003 [11-24 07:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:07 tlr: 9e-05 tnm: 0.48 Lm: 6.793 (6.730) Lt: 6.112 (6.058) Accm: 2.59 (2.72) Acct: 3.99 (4.25) proj_loss: -0.5850 (-0.5950) time: 0.3636 data: 0.0003 [11-24 07:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:07 tlr: 9e-05 tnm: 0.48 Lm: 6.690 (6.724) Lt: 5.951 (5.991) Accm: 2.80 (2.74) Acct: 4.27 (4.26) proj_loss: -0.5932 (-0.5943) time: 0.3636 data: 0.0002 [11-24 07:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:07 tlr: 9e-05 tnm: 0.48 Lm: 6.642 (6.679) Lt: 5.930 (5.976) Accm: 3.22 (3.14) Acct: 5.01 (4.90) proj_loss: -0.5875 (-0.5990) time: 0.3636 data: 0.0002 [11-24 07:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:33 tlr: 9e-05 tnm: 0.48 Lm: 6.662 (6.680) Lt: 5.935 (5.967) Accm: 3.08 (3.09) Acct: 4.73 (4.79) proj_loss: -0.5832 (-0.5939) time: 0.3628 data: 0.0003 [11-24 07:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:33 tlr: 9e-05 tnm: 0.48 Lm: 6.742 (6.720) Lt: 6.036 (6.033) Accm: 2.79 (2.78) Acct: 4.30 (4.34) proj_loss: -0.5830 (-0.5915) time: 0.3628 data: 0.0003 [11-24 07:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:33 tlr: 9e-05 tnm: 0.48 Lm: 6.769 (6.763) Lt: 6.116 (6.075) Accm: 2.69 (2.72) Acct: 3.97 (4.17) proj_loss: -0.6047 (-0.6048) time: 0.3628 data: 0.0003 [11-24 07:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:33 tlr: 9e-05 tnm: 0.48 Lm: 6.628 (6.675) Lt: 5.873 (5.942) Accm: 2.94 (2.90) Acct: 4.55 (4.54) proj_loss: -0.5926 (-0.5937) time: 0.3628 data: 0.0003 [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.48 Lm: 6.690 (6.692) Lt: 5.951 (5.976) Accm: 2.80 (2.86) Acct: 4.27 (4.47) proj_loss: -0.5932 (-0.5962) time: 0.3635 data: 0.0021 [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:10 (0.366 s / it) [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.48 Lm: 6.682 (6.692) Lt: 5.940 (5.992) Accm: 2.94 (3.02) Acct: 4.44 (4.65) proj_loss: -0.5875 (-0.5960) time: 0.3635 data: 0.0021 [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.48 Lm: 6.793 (6.737) Lt: 6.112 (6.053) Accm: 2.59 (2.73) Acct: 3.99 (4.24) proj_loss: -0.5850 (-0.5938) time: 0.3635 data: 0.0016 [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.48 Lm: 6.741 (6.748) Lt: 6.067 (6.058) Accm: 2.74 (2.77) Acct: 4.12 (4.24) proj_loss: -0.6061 (-0.6050) time: 0.3635 data: 0.0014 [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:10 (0.366 s / it) [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:10 (0.366 s / it) [11-24 07:27:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:10 (0.366 s / it) [11-24 07:30:13] (home/user/VAR/trainer.py, line 114)=> FID: 4.2627578964076065 [11-24 07:30:13] (/home/user/VAR/train.py , line 259)=> [*] [ep229] (val 50000) Lm: 6.7288, Lt: 6.0267, Acc m&t: 2.78 4.35, Val cost: 135.35s [11-24 07:30:13] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 07:30:20] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.715 (6.729), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:21:03, Finish: 2024-11-24 11:49 [11-24 07:30:20] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.715 (6.729), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:20:34, Finish: 2024-11-24 11:48 [11-24 07:30:20] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.715 (6.729), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:20:55, Finish: 2024-11-24 11:48 [11-24 07:30:20] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.715 (6.729), Lt: 6.007 (6.027), Acc m&t: 2.83 4.41, Remain: 20:21:01, Finish: 2024-11-24 11:48 [11-24 07:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:10:00 tlr: 9e-05 tnm: 0.48 Lm: 6.719 (6.719) Lt: 6.004 (6.004) Accm: 2.79 (2.79) Acct: 4.48 (4.48) proj_loss: -0.5860 (-0.5860) time: 0.3597 data: 0.0003 [11-24 07:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:09:54 tlr: 9e-05 tnm: 0.48 Lm: 6.799 (6.799) Lt: 6.087 (6.087) Accm: 2.38 (2.38) Acct: 3.93 (3.93) proj_loss: -0.6114 (-0.6114) time: 0.3562 data: 0.0004 [11-24 07:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:09:55 tlr: 9e-05 tnm: 0.48 Lm: 6.702 (6.702) Lt: 6.000 (6.000) Accm: 2.86 (2.86) Acct: 4.68 (4.68) proj_loss: -0.5767 (-0.5767) time: 0.3565 data: 0.0004 [11-24 07:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:09:53 tlr: 9e-05 tnm: 0.48 Lm: 6.521 (6.521) Lt: 5.778 (5.778) Accm: 3.55 (3.55) Acct: 5.53 (5.53) proj_loss: -0.5896 (-0.5896) time: 0.3555 data: 0.0004 [11-24 07:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:35 tlr: 9e-05 tnm: 0.47 Lm: 6.592 (6.592) Lt: 5.821 (5.821) Accm: 3.17 (3.17) Acct: 5.02 (5.02) proj_loss: -0.5906 (-0.5906) time: 0.3683 data: 0.0003 [11-24 07:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:35 tlr: 9e-05 tnm: 0.47 Lm: 6.664 (6.664) Lt: 5.915 (5.915) Accm: 2.90 (2.90) Acct: 4.69 (4.69) proj_loss: -0.5929 (-0.5929) time: 0.3683 data: 0.0003 [11-24 07:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:35 tlr: 9e-05 tnm: 0.47 Lm: 6.805 (6.805) Lt: 6.092 (6.092) Accm: 2.37 (2.37) Acct: 3.95 (3.95) proj_loss: -0.6003 (-0.6003) time: 0.3683 data: 0.0003 [11-24 07:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:35 tlr: 9e-05 tnm: 0.47 Lm: 6.749 (6.749) Lt: 6.034 (6.034) Accm: 2.84 (2.84) Acct: 4.67 (4.67) proj_loss: -0.5894 (-0.5894) time: 0.3683 data: 0.0004 [11-24 07:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.796 (6.800) Lt: 6.068 (6.105) Accm: 2.83 (2.75) Acct: 4.65 (4.51) proj_loss: -0.6021 (-0.5975) time: 0.3638 data: 0.0003 [11-24 07:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.663 (6.650) Lt: 5.864 (5.917) Accm: 2.79 (3.04) Acct: 4.53 (4.86) proj_loss: -0.5916 (-0.6004) time: 0.3638 data: 0.0003 [11-24 07:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.719 (6.704) Lt: 6.004 (5.996) Accm: 2.79 (2.80) Acct: 4.48 (4.42) proj_loss: -0.5998 (-0.6028) time: 0.3638 data: 0.0002 [11-24 07:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.811 (6.820) Lt: 6.097 (6.117) Accm: 2.38 (2.47) Acct: 3.98 (4.04) proj_loss: -0.6114 (-0.6048) time: 0.3638 data: 0.0003 [11-24 07:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.48 Lm: 6.808 (6.816) Lt: 6.099 (6.113) Accm: 2.43 (2.47) Acct: 3.95 (4.00) proj_loss: -0.6087 (-0.6051) time: 0.3626 data: 0.0003 [11-24 07:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.48 Lm: 6.751 (6.724) Lt: 6.046 (6.019) Accm: 2.71 (2.76) Acct: 4.35 (4.37) proj_loss: -0.5930 (-0.5986) time: 0.3626 data: 0.0003 [11-24 07:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.48 Lm: 6.715 (6.714) Lt: 5.986 (5.997) Accm: 2.78 (2.82) Acct: 4.52 (4.54) proj_loss: -0.5940 (-0.5994) time: 0.3626 data: 0.0003 [11-24 07:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.48 Lm: 6.835 (6.818) Lt: 6.129 (6.126) Accm: 2.70 (2.68) Acct: 4.42 (4.40) proj_loss: -0.6046 (-0.5999) time: 0.3626 data: 0.0003 [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.803 (6.815) Lt: 6.125 (6.126) Accm: 2.79 (2.70) Acct: 4.20 (4.34) proj_loss: -0.6021 (-0.5998) time: 0.3881 data: 0.0019 [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.719 (6.706) Lt: 6.004 (5.998) Accm: 2.79 (2.83) Acct: 4.48 (4.44) proj_loss: -0.5960 (-0.5981) time: 0.3881 data: 0.0018 [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.805 (6.793) Lt: 6.097 (6.084) Accm: 2.47 (2.61) Acct: 3.98 (4.25) proj_loss: -0.6060 (-0.6023) time: 0.3881 data: 0.0021 [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.766 (6.734) Lt: 6.096 (6.017) Accm: 2.76 (2.76) Acct: 4.51 (4.37) proj_loss: -0.5965 (-0.5996) time: 0.3881 data: 0.0021 [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:40:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:06 (0.364 s / it) [11-24 07:40:27] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.010), Acc m&t: 2.83 4.43, Remain: 20:12:54, Finish: 2024-11-24 11:53 [11-24 07:40:27] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.010), Acc m&t: 2.83 4.43, Remain: 20:12:29, Finish: 2024-11-24 11:52 [11-24 07:40:27] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.010), Acc m&t: 2.83 4.43, Remain: 20:12:44, Finish: 2024-11-24 11:53 [11-24 07:40:27] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.010), Acc m&t: 2.83 4.43, Remain: 20:14:16, Finish: 2024-11-24 11:54 [11-24 07:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:42 tlr: 8.9e-05 tnm: 0.47 Lm: 6.654 (6.654) Lt: 5.996 (5.996) Accm: 2.98 (2.98) Acct: 4.53 (4.53) proj_loss: -0.5967 (-0.5967) time: 0.3487 data: 0.0004 [11-24 07:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:42 tlr: 8.9e-05 tnm: 0.47 Lm: 6.636 (6.636) Lt: 5.864 (5.864) Accm: 2.83 (2.83) Acct: 4.55 (4.55) proj_loss: -0.6125 (-0.6125) time: 0.3491 data: 0.0004 [11-24 07:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:42 tlr: 8.9e-05 tnm: 0.47 Lm: 6.667 (6.667) Lt: 5.990 (5.990) Accm: 2.74 (2.74) Acct: 3.93 (3.93) proj_loss: -0.5910 (-0.5910) time: 0.3489 data: 0.0004 [11-24 07:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:51 tlr: 8.9e-05 tnm: 0.47 Lm: 6.965 (6.965) Lt: 6.301 (6.301) Accm: 2.19 (2.19) Acct: 3.58 (3.58) proj_loss: -0.6077 (-0.6077) time: 0.3547 data: 0.0004 [11-24 07:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:42 tlr: 8.9e-05 tnm: 0.47 Lm: 6.852 (6.852) Lt: 6.149 (6.149) Accm: 2.54 (2.54) Acct: 4.03 (4.03) proj_loss: -0.5953 (-0.5953) time: 0.3640 data: 0.0003 [11-24 07:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:42 tlr: 8.9e-05 tnm: 0.47 Lm: 6.706 (6.706) Lt: 6.039 (6.039) Accm: 2.86 (2.86) Acct: 4.34 (4.34) proj_loss: -0.5989 (-0.5989) time: 0.3640 data: 0.0003 [11-24 07:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:42 tlr: 8.9e-05 tnm: 0.47 Lm: 6.733 (6.733) Lt: 5.987 (5.987) Accm: 2.84 (2.84) Acct: 4.51 (4.51) proj_loss: -0.6085 (-0.6085) time: 0.3640 data: 0.0003 [11-24 07:43:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:42 tlr: 8.9e-05 tnm: 0.47 Lm: 6.734 (6.734) Lt: 6.039 (6.039) Accm: 2.64 (2.64) Acct: 3.96 (3.96) proj_loss: -0.5981 (-0.5981) time: 0.3640 data: 0.0003 [11-24 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:10 tlr: 8.9e-05 tnm: 0.49 Lm: 6.749 (6.739) Lt: 6.044 (6.040) Accm: 2.55 (2.59) Acct: 3.99 (4.02) proj_loss: -0.5989 (-0.5984) time: 0.4022 data: 0.0003 [11-24 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:10 tlr: 8.9e-05 tnm: 0.49 Lm: 6.765 (6.744) Lt: 6.081 (6.019) Accm: 2.83 (2.72) Acct: 4.48 (4.22) proj_loss: -0.6044 (-0.6001) time: 0.4022 data: 0.0003 [11-24 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:10 tlr: 8.9e-05 tnm: 0.49 Lm: 6.740 (6.801) Lt: 5.997 (6.086) Accm: 2.80 (2.63) Acct: 4.44 (4.17) proj_loss: -0.6075 (-0.5994) time: 0.4022 data: 0.0003 [11-24 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:10 tlr: 8.9e-05 tnm: 0.49 Lm: 6.654 (6.667) Lt: 5.996 (5.968) Accm: 2.98 (3.08) Acct: 4.53 (4.76) proj_loss: -0.5967 (-0.5907) time: 0.4022 data: 0.0003 [11-24 07:48:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:36 tlr: 8.9e-05 tnm: 0.46 Lm: 6.706 (6.693) Lt: 6.039 (6.002) Accm: 2.86 (2.98) Acct: 4.34 (4.57) proj_loss: -0.5967 (-0.5922) time: 0.3644 data: 0.0003 [11-24 07:48:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:36 tlr: 8.9e-05 tnm: 0.46 Lm: 6.700 (6.715) Lt: 5.986 (5.987) Accm: 2.84 (2.79) Acct: 4.51 (4.32) proj_loss: -0.6068 (-0.6024) time: 0.3644 data: 0.0003 [11-24 07:48:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:36 tlr: 8.9e-05 tnm: 0.46 Lm: 6.775 (6.761) Lt: 6.066 (6.070) Accm: 2.58 (2.59) Acct: 4.06 (4.05) proj_loss: -0.5949 (-0.5949) time: 0.3644 data: 0.0003 [11-24 07:48:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:36 tlr: 8.9e-05 tnm: 0.46 Lm: 6.746 (6.789) Lt: 6.023 (6.077) Accm: 2.74 (2.64) Acct: 4.34 (4.18) proj_loss: -0.6030 (-0.5992) time: 0.3644 data: 0.0002 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.47 Lm: 6.753 (6.809) Lt: 6.050 (6.110) Accm: 2.69 (2.60) Acct: 4.24 (4.07) proj_loss: -0.6075 (-0.6016) time: 0.3643 data: 0.0024 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:27 (0.376 s / it) [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.47 Lm: 6.759 (6.719) Lt: 6.077 (6.017) Accm: 2.75 (2.85) Acct: 4.15 (4.43) proj_loss: -0.5967 (-0.5919) time: 0.3643 data: 0.0017 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.47 Lm: 6.747 (6.721) Lt: 6.036 (5.997) Accm: 2.85 (2.81) Acct: 4.48 (4.35) proj_loss: -0.6044 (-0.6014) time: 0.3643 data: 0.0017 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.47 Lm: 6.765 (6.762) Lt: 6.087 (6.078) Accm: 2.61 (2.66) Acct: 4.13 (4.14) proj_loss: -0.5989 (-0.5958) time: 0.3643 data: 0.0014 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:27 (0.376 s / it) [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:27 (0.376 s / it) [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:27 (0.376 s / it) [11-24 07:50:55] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.715 (6.723), Lt: 6.007 (6.021), Acc m&t: 2.83 4.43, Remain: 20:05:16, Finish: 2024-11-24 11:56 [11-24 07:50:55] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.715 (6.723), Lt: 6.007 (6.021), Acc m&t: 2.83 4.43, Remain: 20:05:03, Finish: 2024-11-24 11:55 [11-24 07:50:55] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.715 (6.723), Lt: 6.007 (6.021), Acc m&t: 2.83 4.43, Remain: 20:05:47, Finish: 2024-11-24 11:56 [11-24 07:50:55] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.715 (6.723), Lt: 6.007 (6.021), Acc m&t: 2.83 4.43, Remain: 20:04:54, Finish: 2024-11-24 11:55 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:32 tlr: 8.8e-05 tnm: 0.48 Lm: 6.741 (6.741) Lt: 5.995 (5.995) Accm: 2.78 (2.78) Acct: 4.58 (4.58) proj_loss: -0.5944 (-0.5944) time: 0.3432 data: 0.0004 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:34 tlr: 8.8e-05 tnm: 0.48 Lm: 6.749 (6.749) Lt: 6.031 (6.031) Accm: 2.85 (2.85) Acct: 4.37 (4.37) proj_loss: -0.6083 (-0.6083) time: 0.3444 data: 0.0003 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:35 tlr: 8.8e-05 tnm: 0.48 Lm: 6.830 (6.830) Lt: 6.212 (6.212) Accm: 2.24 (2.24) Acct: 3.37 (3.37) proj_loss: -0.6008 (-0.6008) time: 0.3449 data: 0.0004 [11-24 07:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:37 tlr: 8.8e-05 tnm: 0.48 Lm: 6.817 (6.817) Lt: 6.146 (6.146) Accm: 2.78 (2.78) Acct: 4.25 (4.25) proj_loss: -0.5848 (-0.5848) time: 0.3458 data: 0.0004 [11-24 07:53:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:42 tlr: 8.8e-05 tnm: 0.49 Lm: 6.743 (6.743) Lt: 6.048 (6.048) Accm: 2.84 (2.84) Acct: 4.37 (4.37) proj_loss: -0.5872 (-0.5872) time: 0.3623 data: 0.0003 [11-24 07:53:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:42 tlr: 8.8e-05 tnm: 0.49 Lm: 6.781 (6.781) Lt: 6.101 (6.101) Accm: 2.72 (2.72) Acct: 4.08 (4.08) proj_loss: -0.5991 (-0.5991) time: 0.3623 data: 0.0003 [11-24 07:53:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:42 tlr: 8.8e-05 tnm: 0.49 Lm: 6.734 (6.734) Lt: 6.045 (6.045) Accm: 2.57 (2.57) Acct: 4.06 (4.06) proj_loss: -0.5909 (-0.5909) time: 0.3623 data: 0.0003 [11-24 07:53:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:42 tlr: 8.8e-05 tnm: 0.49 Lm: 6.799 (6.799) Lt: 6.093 (6.093) Accm: 2.58 (2.58) Acct: 4.24 (4.24) proj_loss: -0.5966 (-0.5966) time: 0.3623 data: 0.0002 [11-24 07:56:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:06 tlr: 8.8e-05 tnm: 0.48 Lm: 6.741 (6.743) Lt: 5.995 (6.024) Accm: 2.78 (2.72) Acct: 4.58 (4.41) proj_loss: -0.5988 (-0.5993) time: 0.3664 data: 0.0003 [11-24 07:56:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:06 tlr: 8.8e-05 tnm: 0.48 Lm: 6.749 (6.701) Lt: 6.031 (5.989) Accm: 2.85 (2.98) Acct: 4.37 (4.65) proj_loss: -0.5899 (-0.5903) time: 0.3664 data: 0.0003 [11-24 07:56:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:06 tlr: 8.8e-05 tnm: 0.48 Lm: 6.804 (6.757) Lt: 6.131 (6.074) Accm: 2.53 (2.56) Acct: 3.96 (4.03) proj_loss: -0.6008 (-0.5994) time: 0.3664 data: 0.0003 [11-24 07:56:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:06 tlr: 8.8e-05 tnm: 0.48 Lm: 6.817 (6.768) Lt: 6.095 (6.064) Accm: 2.78 (2.79) Acct: 4.25 (4.30) proj_loss: -0.5896 (-0.5897) time: 0.3664 data: 0.0003 [11-24 07:58:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.817 (6.786) Lt: 6.119 (6.084) Accm: 2.75 (2.78) Acct: 4.30 (4.31) proj_loss: -0.5872 (-0.5863) time: 0.3621 data: 0.0003 [11-24 07:58:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.781 (6.737) Lt: 6.097 (6.032) Accm: 2.72 (2.79) Acct: 4.08 (4.33) proj_loss: -0.5913 (-0.5909) time: 0.3621 data: 0.0003 [11-24 07:58:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.805 (6.769) Lt: 6.087 (6.066) Accm: 2.57 (2.57) Acct: 4.14 (4.10) proj_loss: -0.5909 (-0.5942) time: 0.3621 data: 0.0003 [11-24 07:58:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.708 (6.726) Lt: 6.007 (6.023) Accm: 2.82 (2.76) Acct: 4.49 (4.41) proj_loss: -0.6018 (-0.6033) time: 0.3622 data: 0.0003 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.782 (6.746) Lt: 6.045 (6.035) Accm: 2.60 (2.73) Acct: 3.99 (4.26) proj_loss: -0.5927 (-0.5914) time: 0.3650 data: 0.0017 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.804 (6.747) Lt: 6.042 (6.030) Accm: 2.61 (2.63) Acct: 4.32 (4.20) proj_loss: -0.5899 (-0.5933) time: 0.3651 data: 0.0017 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.817 (6.735) Lt: 6.095 (6.034) Accm: 2.78 (2.94) Acct: 4.36 (4.58) proj_loss: -0.5896 (-0.5882) time: 0.3651 data: 0.0016 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.741 (6.742) Lt: 6.018 (6.038) Accm: 2.78 (2.69) Acct: 4.41 (4.30) proj_loss: -0.5988 (-0.5952) time: 0.3651 data: 0.0020 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:10 (0.366 s / it) [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:10 (0.366 s / it) [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:10 (0.366 s / it) [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:10 (0.366 s / it) [11-24 08:01:06] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.715 (6.720), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:49:51, Finish: 2024-11-24 11:50 [11-24 08:01:06] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.715 (6.720), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:49:26, Finish: 2024-11-24 11:50 [11-24 08:01:06] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.715 (6.720), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:49:28, Finish: 2024-11-24 11:50 [11-24 08:01:06] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.715 (6.720), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:49:42, Finish: 2024-11-24 11:50 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:39 tlr: 8.8e-05 tnm: 0.49 Lm: 6.984 (6.984) Lt: 6.338 (6.338) Accm: 2.20 (2.20) Acct: 3.60 (3.60) proj_loss: -0.5959 (-0.5959) time: 0.3469 data: 0.0003 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:38 tlr: 8.8e-05 tnm: 0.49 Lm: 6.787 (6.787) Lt: 6.106 (6.106) Accm: 2.45 (2.45) Acct: 3.77 (3.77) proj_loss: -0.5998 (-0.5998) time: 0.3469 data: 0.0005 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:30 tlr: 8.8e-05 tnm: 0.49 Lm: 6.812 (6.812) Lt: 6.126 (6.126) Accm: 2.56 (2.56) Acct: 3.91 (3.91) proj_loss: -0.5894 (-0.5894) time: 0.3421 data: 0.0004 [11-24 08:01:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:37 tlr: 8.8e-05 tnm: 0.49 Lm: 6.809 (6.809) Lt: 6.127 (6.127) Accm: 2.81 (2.81) Acct: 4.10 (4.10) proj_loss: -0.6093 (-0.6093) time: 0.3463 data: 0.0003 [11-24 08:03:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:34 tlr: 8.8e-05 tnm: 0.49 Lm: 6.680 (6.680) Lt: 5.956 (5.956) Accm: 3.06 (3.06) Acct: 4.67 (4.67) proj_loss: -0.6042 (-0.6042) time: 0.3633 data: 0.0003 [11-24 08:03:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:34 tlr: 8.8e-05 tnm: 0.49 Lm: 6.762 (6.762) Lt: 6.049 (6.049) Accm: 2.81 (2.81) Acct: 4.56 (4.56) proj_loss: -0.5957 (-0.5957) time: 0.3633 data: 0.0002 [11-24 08:03:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:34 tlr: 8.8e-05 tnm: 0.49 Lm: 6.805 (6.805) Lt: 6.124 (6.124) Accm: 2.52 (2.52) Acct: 3.96 (3.96) proj_loss: -0.6110 (-0.6110) time: 0.3633 data: 0.0003 [11-24 08:03:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:34 tlr: 8.8e-05 tnm: 0.49 Lm: 6.657 (6.657) Lt: 5.977 (5.977) Accm: 2.94 (2.94) Acct: 4.46 (4.46) proj_loss: -0.5952 (-0.5952) time: 0.3633 data: 0.0003 [11-24 08:06:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:02 tlr: 8.7e-05 tnm: 0.47 Lm: 6.655 (6.656) Lt: 5.886 (5.947) Accm: 3.10 (2.99) Acct: 5.01 (4.66) proj_loss: -0.6010 (-0.5992) time: 0.3608 data: 0.0003 [11-24 08:06:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:02 tlr: 8.7e-05 tnm: 0.47 Lm: 6.697 (6.685) Lt: 6.012 (5.975) Accm: 2.90 (3.01) Acct: 4.10 (4.46) proj_loss: -0.5992 (-0.5985) time: 0.3608 data: 0.0003 [11-24 08:06:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:02 tlr: 8.7e-05 tnm: 0.47 Lm: 6.787 (6.737) Lt: 6.106 (6.038) Accm: 2.58 (2.63) Acct: 4.15 (4.17) proj_loss: -0.5998 (-0.6072) time: 0.3608 data: 0.0003 [11-24 08:06:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:02 tlr: 8.7e-05 tnm: 0.47 Lm: 6.860 (6.795) Lt: 6.187 (6.095) Accm: 2.76 (2.79) Acct: 4.24 (4.45) proj_loss: -0.5959 (-0.5977) time: 0.3608 data: 0.0003 [11-24 08:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:31 tlr: 8.7e-05 tnm: 0.48 Lm: 6.842 (6.802) Lt: 6.155 (6.102) Accm: 2.60 (2.71) Acct: 3.99 (4.27) proj_loss: -0.5957 (-0.5934) time: 0.3652 data: 0.0003 [11-24 08:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:31 tlr: 8.7e-05 tnm: 0.48 Lm: 6.711 (6.696) Lt: 5.993 (5.975) Accm: 2.87 (2.96) Acct: 4.34 (4.49) proj_loss: -0.6042 (-0.6033) time: 0.3652 data: 0.0003 [11-24 08:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:31 tlr: 8.7e-05 tnm: 0.48 Lm: 6.675 (6.666) Lt: 5.969 (5.973) Accm: 3.01 (2.97) Acct: 4.67 (4.58) proj_loss: -0.6041 (-0.6037) time: 0.3652 data: 0.0003 [11-24 08:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:31 tlr: 8.7e-05 tnm: 0.48 Lm: 6.795 (6.754) Lt: 6.103 (6.054) Accm: 2.64 (2.65) Acct: 4.12 (4.15) proj_loss: -0.6084 (-0.6096) time: 0.3653 data: 0.0003 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.45 Lm: 6.787 (6.749) Lt: 6.100 (6.043) Accm: 2.71 (2.72) Acct: 4.15 (4.28) proj_loss: -0.6170 (-0.6123) time: 0.3643 data: 0.0019 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:05 (0.363 s / it) [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.45 Lm: 6.823 (6.793) Lt: 6.124 (6.091) Accm: 2.50 (2.66) Acct: 3.74 (4.15) proj_loss: -0.5959 (-0.5941) time: 0.3643 data: 0.0016 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.45 Lm: 6.726 (6.734) Lt: 6.012 (6.018) Accm: 2.83 (2.85) Acct: 4.10 (4.35) proj_loss: -0.6093 (-0.6050) time: 0.3643 data: 0.0014 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.45 Lm: 6.694 (6.709) Lt: 6.052 (6.019) Accm: 2.92 (2.83) Acct: 4.34 (4.38) proj_loss: -0.6073 (-0.6058) time: 0.3643 data: 0.0021 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:05 (0.363 s / it) [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:05 (0.363 s / it) [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:05 (0.363 s / it) [11-24 08:11:12] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.715 (6.726), Lt: 6.007 (6.020), Acc m&t: 2.83 4.43, Remain: 19:40:12, Finish: 2024-11-24 11:51 [11-24 08:11:12] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.715 (6.726), Lt: 6.007 (6.020), Acc m&t: 2.83 4.43, Remain: 19:39:52, Finish: 2024-11-24 11:51 [11-24 08:11:12] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.715 (6.726), Lt: 6.007 (6.020), Acc m&t: 2.83 4.43, Remain: 19:39:23, Finish: 2024-11-24 11:50 [11-24 08:11:12] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.715 (6.726), Lt: 6.007 (6.020), Acc m&t: 2.83 4.43, Remain: 19:38:42, Finish: 2024-11-24 11:49 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:10:14 tlr: 8.7e-05 tnm: 0.47 Lm: 6.822 (6.822) Lt: 6.159 (6.159) Accm: 2.65 (2.65) Acct: 3.89 (3.89) proj_loss: -0.5948 (-0.5948) time: 0.3680 data: 0.0003 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:10:15 tlr: 8.7e-05 tnm: 0.47 Lm: 6.711 (6.711) Lt: 6.009 (6.009) Accm: 2.95 (2.95) Acct: 4.73 (4.73) proj_loss: -0.6032 (-0.6032) time: 0.3686 data: 0.0003 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:10:15 tlr: 8.7e-05 tnm: 0.47 Lm: 6.825 (6.825) Lt: 6.204 (6.204) Accm: 2.51 (2.51) Acct: 3.55 (3.55) proj_loss: -0.5987 (-0.5987) time: 0.3687 data: 0.0003 [11-24 08:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:10:12 tlr: 8.7e-05 tnm: 0.47 Lm: 6.604 (6.604) Lt: 5.859 (5.859) Accm: 3.31 (3.31) Acct: 5.37 (5.37) proj_loss: -0.5970 (-0.5970) time: 0.3670 data: 0.0003 [11-24 08:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:45 tlr: 8.7e-05 tnm: 0.52 Lm: 6.710 (6.710) Lt: 5.997 (5.997) Accm: 2.94 (2.94) Acct: 4.62 (4.62) proj_loss: -0.6045 (-0.6045) time: 0.3610 data: 0.0003 [11-24 08:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:45 tlr: 8.7e-05 tnm: 0.52 Lm: 6.840 (6.840) Lt: 6.166 (6.166) Accm: 2.47 (2.47) Acct: 3.68 (3.68) proj_loss: -0.5965 (-0.5965) time: 0.3610 data: 0.0003 [11-24 08:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:45 tlr: 8.7e-05 tnm: 0.52 Lm: 6.709 (6.709) Lt: 6.001 (6.001) Accm: 2.81 (2.81) Acct: 4.36 (4.36) proj_loss: -0.6014 (-0.6014) time: 0.3610 data: 0.0002 [11-24 08:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:45 tlr: 8.7e-05 tnm: 0.52 Lm: 6.706 (6.706) Lt: 6.047 (6.047) Accm: 2.80 (2.80) Acct: 4.12 (4.12) proj_loss: -0.6084 (-0.6084) time: 0.3610 data: 0.0003 [11-24 08:16:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:13 tlr: 8.7e-05 tnm: 0.49 Lm: 6.668 (6.693) Lt: 5.916 (6.004) Accm: 3.01 (2.87) Acct: 4.55 (4.26) proj_loss: -0.6071 (-0.6080) time: 0.3628 data: 0.0002 [11-24 08:16:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:13 tlr: 8.7e-05 tnm: 0.49 Lm: 6.604 (6.629) Lt: 5.859 (5.913) Accm: 3.31 (3.11) Acct: 5.37 (4.95) proj_loss: -0.5993 (-0.6028) time: 0.3628 data: 0.0003 [11-24 08:16:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:13 tlr: 8.7e-05 tnm: 0.49 Lm: 6.822 (6.754) Lt: 6.159 (6.071) Accm: 2.65 (2.70) Acct: 3.89 (4.14) proj_loss: -0.5982 (-0.6010) time: 0.3628 data: 0.0003 [11-24 08:16:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:13 tlr: 8.7e-05 tnm: 0.49 Lm: 6.707 (6.643) Lt: 5.993 (5.944) Accm: 2.95 (3.01) Acct: 4.73 (4.75) proj_loss: -0.6032 (-0.6040) time: 0.3627 data: 0.0002 [11-24 08:19:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:36 tlr: 8.6e-05 tnm: 0.49 Lm: 6.709 (6.676) Lt: 6.001 (5.972) Accm: 2.81 (2.90) Acct: 4.40 (4.58) proj_loss: -0.6014 (-0.5977) time: 0.3644 data: 0.0003 [11-24 08:19:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:36 tlr: 8.6e-05 tnm: 0.49 Lm: 6.703 (6.694) Lt: 6.020 (6.016) Accm: 2.81 (2.77) Acct: 4.20 (4.24) proj_loss: -0.6041 (-0.6045) time: 0.3643 data: 0.0003 [11-24 08:19:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:36 tlr: 8.6e-05 tnm: 0.49 Lm: 6.708 (6.707) Lt: 5.958 (6.002) Accm: 2.93 (2.87) Acct: 4.60 (4.36) proj_loss: -0.6029 (-0.6026) time: 0.3643 data: 0.0003 [11-24 08:19:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:36 tlr: 8.6e-05 tnm: 0.49 Lm: 6.643 (6.642) Lt: 5.929 (5.935) Accm: 3.06 (3.04) Acct: 4.93 (4.84) proj_loss: -0.6057 (-0.6052) time: 0.3643 data: 0.0003 [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.47 Lm: 6.822 (6.728) Lt: 6.155 (6.044) Accm: 2.65 (2.72) Acct: 3.89 (4.14) proj_loss: -0.5983 (-0.6033) time: 0.3693 data: 0.0016 [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.47 Lm: 6.707 (6.681) Lt: 6.009 (5.986) Accm: 2.80 (2.88) Acct: 4.37 (4.54) proj_loss: -0.5996 (-0.5969) time: 0.3692 data: 0.0023 [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.47 Lm: 6.668 (6.690) Lt: 5.932 (5.988) Accm: 3.01 (2.94) Acct: 4.65 (4.46) proj_loss: -0.6071 (-0.6038) time: 0.3693 data: 0.0019 [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.47 Lm: 6.682 (6.676) Lt: 6.000 (5.976) Accm: 2.81 (2.95) Acct: 4.49 (4.68) proj_loss: -0.6035 (-0.6049) time: 0.3693 data: 0.0014 [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:29 (0.377 s / it) [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:29 (0.377 s / it) [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:29 (0.377 s / it) [11-24 08:21:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:29 (0.377 s / it) [11-24 08:21:41] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.715 (6.717), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:46:02, Finish: 2024-11-24 12:07 [11-24 08:21:41] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.715 (6.717), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:46:47, Finish: 2024-11-24 12:08 [11-24 08:21:41] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.715 (6.717), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:46:51, Finish: 2024-11-24 12:08 [11-24 08:21:41] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.715 (6.717), Lt: 6.007 (6.013), Acc m&t: 2.83 4.43, Remain: 19:46:43, Finish: 2024-11-24 12:08 [11-24 08:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:33 tlr: 8.6e-05 tnm: 0.51 Lm: 6.686 (6.686) Lt: 5.967 (5.967) Accm: 3.04 (3.04) Acct: 4.89 (4.89) proj_loss: -0.5898 (-0.5898) time: 0.3437 data: 0.0003 [11-24 08:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:38 tlr: 8.6e-05 tnm: 0.51 Lm: 6.763 (6.763) Lt: 6.089 (6.089) Accm: 2.38 (2.38) Acct: 3.68 (3.68) proj_loss: -0.5876 (-0.5876) time: 0.3463 data: 0.0003 [11-24 08:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:33 tlr: 8.6e-05 tnm: 0.51 Lm: 6.662 (6.662) Lt: 5.920 (5.920) Accm: 3.04 (3.04) Acct: 4.55 (4.55) proj_loss: -0.5828 (-0.5828) time: 0.3438 data: 0.0003 [11-24 08:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:40 tlr: 8.6e-05 tnm: 0.51 Lm: 6.647 (6.647) Lt: 5.940 (5.940) Accm: 3.15 (3.15) Acct: 4.98 (4.98) proj_loss: -0.6025 (-0.6025) time: 0.3480 data: 0.0004 [11-24 08:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:39 tlr: 8.6e-05 tnm: 0.50 Lm: 6.696 (6.696) Lt: 6.013 (6.013) Accm: 2.96 (2.96) Acct: 4.61 (4.61) proj_loss: -0.6010 (-0.6010) time: 0.3666 data: 0.0003 [11-24 08:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:39 tlr: 8.6e-05 tnm: 0.50 Lm: 6.719 (6.719) Lt: 6.016 (6.016) Accm: 2.75 (2.75) Acct: 4.42 (4.42) proj_loss: -0.5956 (-0.5956) time: 0.3666 data: 0.0003 [11-24 08:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:39 tlr: 8.6e-05 tnm: 0.50 Lm: 6.714 (6.714) Lt: 5.999 (5.999) Accm: 3.02 (3.02) Acct: 4.61 (4.61) proj_loss: -0.5992 (-0.5992) time: 0.3666 data: 0.0002 [11-24 08:24:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:39 tlr: 8.6e-05 tnm: 0.50 Lm: 6.741 (6.741) Lt: 6.066 (6.066) Accm: 2.59 (2.59) Acct: 4.07 (4.07) proj_loss: -0.5941 (-0.5941) time: 0.3666 data: 0.0003 [11-24 08:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:06 tlr: 8.6e-05 tnm: 0.48 Lm: 6.763 (6.750) Lt: 6.043 (6.056) Accm: 2.79 (2.65) Acct: 4.46 (4.20) proj_loss: -0.5905 (-0.5929) time: 0.3629 data: 0.0003 [11-24 08:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:06 tlr: 8.6e-05 tnm: 0.48 Lm: 6.745 (6.720) Lt: 6.049 (6.025) Accm: 2.77 (2.84) Acct: 4.24 (4.46) proj_loss: -0.5995 (-0.5999) time: 0.3629 data: 0.0003 [11-24 08:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:06 tlr: 8.6e-05 tnm: 0.48 Lm: 6.709 (6.716) Lt: 6.035 (6.022) Accm: 2.73 (2.74) Acct: 4.36 (4.40) proj_loss: -0.6014 (-0.5983) time: 0.3629 data: 0.0003 [11-24 08:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:06 tlr: 8.6e-05 tnm: 0.48 Lm: 6.662 (6.661) Lt: 5.920 (5.948) Accm: 3.04 (3.07) Acct: 4.68 (4.71) proj_loss: -0.6130 (-0.6038) time: 0.3630 data: 0.0005 [11-24 08:29:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:32 tlr: 8.6e-05 tnm: 0.46 Lm: 6.681 (6.671) Lt: 5.956 (5.959) Accm: 3.09 (3.09) Acct: 4.71 (4.71) proj_loss: -0.5981 (-0.5987) time: 0.3631 data: 0.0003 [11-24 08:29:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:32 tlr: 8.6e-05 tnm: 0.46 Lm: 6.730 (6.746) Lt: 6.050 (6.059) Accm: 2.65 (2.70) Acct: 4.20 (4.31) proj_loss: -0.6026 (-0.6026) time: 0.3631 data: 0.0003 [11-24 08:29:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:32 tlr: 8.6e-05 tnm: 0.46 Lm: 6.750 (6.729) Lt: 6.063 (6.038) Accm: 2.88 (2.88) Acct: 4.45 (4.51) proj_loss: -0.5987 (-0.5985) time: 0.3631 data: 0.0003 [11-24 08:29:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:32 tlr: 8.6e-05 tnm: 0.46 Lm: 6.741 (6.743) Lt: 6.040 (6.051) Accm: 2.79 (2.72) Acct: 4.46 (4.34) proj_loss: -0.5950 (-0.5946) time: 0.3631 data: 0.0002 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.763 (6.779) Lt: 6.043 (6.080) Accm: 2.79 (2.62) Acct: 4.46 (4.16) proj_loss: -0.5905 (-0.5912) time: 0.3634 data: 0.0016 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.751 (6.760) Lt: 6.065 (6.075) Accm: 2.56 (2.66) Acct: 4.15 (4.28) proj_loss: -0.6014 (-0.6009) time: 0.3634 data: 0.0017 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.700 (6.691) Lt: 5.991 (5.974) Accm: 3.04 (3.02) Acct: 4.68 (4.67) proj_loss: -0.6005 (-0.5990) time: 0.3634 data: 0.0020 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.756 (6.741) Lt: 6.072 (6.045) Accm: 2.77 (2.82) Acct: 4.32 (4.47) proj_loss: -0.5979 (-0.5952) time: 0.3634 data: 0.0016 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:31:50] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.014), Acc m&t: 2.83 4.44, Remain: 19:22:16, Finish: 2024-11-24 11:54 [11-24 08:31:50] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.014), Acc m&t: 2.83 4.44, Remain: 19:21:29, Finish: 2024-11-24 11:53 [11-24 08:31:50] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.014), Acc m&t: 2.83 4.44, Remain: 19:21:20, Finish: 2024-11-24 11:53 [11-24 08:31:50] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.715 (6.719), Lt: 6.007 (6.014), Acc m&t: 2.83 4.44, Remain: 19:21:39, Finish: 2024-11-24 11:53 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:09:59 tlr: 8.6e-05 tnm: 0.51 Lm: 6.830 (6.830) Lt: 6.115 (6.115) Accm: 2.63 (2.63) Acct: 4.15 (4.15) proj_loss: -0.5994 (-0.5994) time: 0.3589 data: 0.0004 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:10:00 tlr: 8.6e-05 tnm: 0.51 Lm: 6.587 (6.587) Lt: 5.860 (5.860) Accm: 2.99 (2.99) Acct: 4.58 (4.58) proj_loss: -0.6040 (-0.6040) time: 0.3596 data: 0.0003 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:10:01 tlr: 8.6e-05 tnm: 0.51 Lm: 6.765 (6.765) Lt: 6.100 (6.100) Accm: 2.90 (2.90) Acct: 4.48 (4.48) proj_loss: -0.5772 (-0.5772) time: 0.3602 data: 0.0003 [11-24 08:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:10:01 tlr: 8.6e-05 tnm: 0.51 Lm: 6.737 (6.737) Lt: 6.032 (6.032) Accm: 2.84 (2.84) Acct: 4.51 (4.51) proj_loss: -0.6019 (-0.6019) time: 0.3601 data: 0.0004 [11-24 08:34:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:37 tlr: 8.5e-05 tnm: 0.49 Lm: 6.658 (6.658) Lt: 5.900 (5.900) Accm: 2.97 (2.97) Acct: 4.65 (4.65) proj_loss: -0.5969 (-0.5969) time: 0.3624 data: 0.0003 [11-24 08:34:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:37 tlr: 8.5e-05 tnm: 0.49 Lm: 6.754 (6.754) Lt: 6.058 (6.058) Accm: 2.80 (2.80) Acct: 4.41 (4.41) proj_loss: -0.5851 (-0.5851) time: 0.3624 data: 0.0002 [11-24 08:34:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:37 tlr: 8.5e-05 tnm: 0.49 Lm: 6.731 (6.731) Lt: 6.034 (6.034) Accm: 2.88 (2.88) Acct: 4.48 (4.48) proj_loss: -0.6165 (-0.6165) time: 0.3624 data: 0.0003 [11-24 08:34:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:37 tlr: 8.5e-05 tnm: 0.49 Lm: 6.779 (6.779) Lt: 6.078 (6.078) Accm: 2.80 (2.80) Acct: 4.20 (4.20) proj_loss: -0.6026 (-0.6026) time: 0.3624 data: 0.0003 [11-24 08:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:04 tlr: 8.5e-05 tnm: 0.48 Lm: 6.729 (6.737) Lt: 6.040 (6.037) Accm: 2.96 (2.92) Acct: 4.25 (4.48) proj_loss: -0.6058 (-0.6056) time: 0.3639 data: 0.0003 [11-24 08:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:04 tlr: 8.5e-05 tnm: 0.48 Lm: 6.743 (6.647) Lt: 6.016 (5.949) Accm: 2.90 (3.05) Acct: 4.48 (4.67) proj_loss: -0.5930 (-0.5950) time: 0.3639 data: 0.0003 [11-24 08:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:04 tlr: 8.5e-05 tnm: 0.48 Lm: 6.725 (6.729) Lt: 6.032 (6.021) Accm: 2.91 (2.89) Acct: 4.51 (4.59) proj_loss: -0.6019 (-0.6104) time: 0.3639 data: 0.0003 [11-24 08:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:04 tlr: 8.5e-05 tnm: 0.48 Lm: 6.730 (6.767) Lt: 5.939 (6.051) Accm: 2.96 (2.68) Acct: 4.58 (4.25) proj_loss: -0.6040 (-0.6027) time: 0.3639 data: 0.0003 [11-24 08:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:32 tlr: 8.5e-05 tnm: 0.47 Lm: 6.678 (6.732) Lt: 5.927 (6.017) Accm: 2.96 (2.75) Acct: 4.54 (4.31) proj_loss: -0.5969 (-0.5995) time: 0.3649 data: 0.0003 [11-24 08:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:32 tlr: 8.5e-05 tnm: 0.47 Lm: 6.725 (6.705) Lt: 6.013 (6.002) Accm: 2.91 (2.95) Acct: 4.64 (4.64) proj_loss: -0.6001 (-0.6074) time: 0.3649 data: 0.0002 [11-24 08:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:32 tlr: 8.5e-05 tnm: 0.47 Lm: 6.692 (6.716) Lt: 5.997 (6.007) Accm: 2.87 (2.89) Acct: 4.24 (4.42) proj_loss: -0.6026 (-0.6012) time: 0.3649 data: 0.0003 [11-24 08:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:32 tlr: 8.5e-05 tnm: 0.47 Lm: 6.724 (6.661) Lt: 6.006 (5.960) Accm: 3.02 (3.08) Acct: 4.68 (4.72) proj_loss: -0.5964 (-0.5962) time: 0.3649 data: 0.0002 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.704 (6.638) Lt: 5.995 (5.927) Accm: 3.15 (3.13) Acct: 4.89 (4.85) proj_loss: -0.5930 (-0.5941) time: 0.3630 data: 0.0016 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.681 (6.722) Lt: 5.939 (6.013) Accm: 2.96 (2.73) Acct: 4.49 (4.29) proj_loss: -0.6027 (-0.6001) time: 0.3630 data: 0.0017 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.725 (6.691) Lt: 5.995 (5.974) Accm: 2.92 (2.98) Acct: 4.77 (4.70) proj_loss: -0.6019 (-0.6067) time: 0.3630 data: 0.0019 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.663 (6.706) Lt: 5.954 (5.991) Accm: 2.84 (2.88) Acct: 4.25 (4.42) proj_loss: -0.6058 (-0.6026) time: 0.3630 data: 0.0015 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:08 (0.365 s / it) [11-24 08:41:59] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.712 (6.712), Lt: 6.006 (6.006), Acc m&t: 2.84 4.46, Remain: 19:09:24, Finish: 2024-11-24 11:51 [11-24 08:41:59] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.712 (6.712), Lt: 6.006 (6.006), Acc m&t: 2.84 4.46, Remain: 19:09:20, Finish: 2024-11-24 11:51 [11-24 08:41:59] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.712 (6.712), Lt: 6.006 (6.006), Acc m&t: 2.84 4.46, Remain: 19:09:44, Finish: 2024-11-24 11:51 [11-24 08:41:59] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.712 (6.712), Lt: 6.006 (6.006), Acc m&t: 2.84 4.46, Remain: 19:10:05, Finish: 2024-11-24 11:52 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:09:50 tlr: 8.5e-05 tnm: 0.47 Lm: 6.665 (6.665) Lt: 5.924 (5.924) Accm: 3.20 (3.20) Acct: 4.92 (4.92) proj_loss: -0.5903 (-0.5903) time: 0.3538 data: 0.0004 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:09:51 tlr: 8.5e-05 tnm: 0.47 Lm: 6.734 (6.734) Lt: 5.952 (5.952) Accm: 2.78 (2.78) Acct: 4.77 (4.77) proj_loss: -0.6231 (-0.6231) time: 0.3542 data: 0.0003 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:09:49 tlr: 8.5e-05 tnm: 0.47 Lm: 6.831 (6.831) Lt: 6.106 (6.106) Accm: 2.41 (2.41) Acct: 3.98 (3.98) proj_loss: -0.5958 (-0.5958) time: 0.3530 data: 0.0003 [11-24 08:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:09:53 tlr: 8.5e-05 tnm: 0.47 Lm: 6.690 (6.690) Lt: 5.939 (5.939) Accm: 2.86 (2.86) Acct: 4.42 (4.42) proj_loss: -0.5984 (-0.5984) time: 0.3554 data: 0.0003 [11-24 08:44:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:49 tlr: 8.5e-05 tnm: 0.48 Lm: 6.697 (6.697) Lt: 5.974 (5.974) Accm: 2.84 (2.84) Acct: 4.44 (4.44) proj_loss: -0.6079 (-0.6079) time: 0.4455 data: 0.0003 [11-24 08:44:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:49 tlr: 8.5e-05 tnm: 0.48 Lm: 6.744 (6.744) Lt: 6.022 (6.022) Accm: 3.00 (3.00) Acct: 4.67 (4.67) proj_loss: -0.5931 (-0.5931) time: 0.4455 data: 0.0003 [11-24 08:44:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:49 tlr: 8.5e-05 tnm: 0.48 Lm: 6.714 (6.714) Lt: 5.976 (5.976) Accm: 2.79 (2.79) Acct: 4.33 (4.33) proj_loss: -0.5957 (-0.5957) time: 0.4455 data: 0.0003 [11-24 08:44:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:49 tlr: 8.5e-05 tnm: 0.48 Lm: 6.713 (6.713) Lt: 5.964 (5.964) Accm: 2.80 (2.80) Acct: 4.68 (4.68) proj_loss: -0.6145 (-0.6145) time: 0.4455 data: 0.0003 [11-24 08:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:13 tlr: 8.4e-05 tnm: 0.49 Lm: 6.693 (6.660) Lt: 5.952 (5.931) Accm: 2.83 (3.04) Acct: 4.77 (4.87) proj_loss: -0.6138 (-0.6142) time: 0.3620 data: 0.0004 [11-24 08:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:13 tlr: 8.4e-05 tnm: 0.49 Lm: 6.691 (6.726) Lt: 5.974 (6.006) Accm: 2.80 (2.91) Acct: 4.41 (4.51) proj_loss: -0.5903 (-0.5915) time: 0.3620 data: 0.0003 [11-24 08:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:13 tlr: 8.4e-05 tnm: 0.49 Lm: 6.690 (6.686) Lt: 5.941 (5.963) Accm: 2.86 (2.91) Acct: 4.46 (4.57) proj_loss: -0.6052 (-0.6070) time: 0.3620 data: 0.0002 [11-24 08:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:13 tlr: 8.4e-05 tnm: 0.49 Lm: 6.654 (6.694) Lt: 5.933 (5.961) Accm: 3.03 (2.87) Acct: 4.68 (4.52) proj_loss: -0.5958 (-0.5971) time: 0.3620 data: 0.0003 [11-24 08:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:36 tlr: 8.4e-05 tnm: 0.49 Lm: 6.662 (6.688) Lt: 5.951 (5.963) Accm: 3.00 (2.89) Acct: 4.59 (4.51) proj_loss: -0.5978 (-0.6022) time: 0.3629 data: 0.0003 [11-24 08:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:36 tlr: 8.4e-05 tnm: 0.49 Lm: 6.697 (6.690) Lt: 5.970 (5.972) Accm: 2.84 (2.87) Acct: 4.44 (4.45) proj_loss: -0.6114 (-0.6100) time: 0.3629 data: 0.0003 [11-24 08:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:36 tlr: 8.4e-05 tnm: 0.49 Lm: 6.623 (6.614) Lt: 5.908 (5.884) Accm: 3.08 (3.12) Acct: 5.01 (5.00) proj_loss: -0.6098 (-0.6109) time: 0.3629 data: 0.0003 [11-24 08:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:36 tlr: 8.4e-05 tnm: 0.49 Lm: 6.757 (6.769) Lt: 6.047 (6.052) Accm: 2.76 (2.77) Acct: 4.30 (4.32) proj_loss: -0.5892 (-0.5894) time: 0.3629 data: 0.0003 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.49 Lm: 6.823 (6.791) Lt: 6.120 (6.079) Accm: 2.73 (2.72) Acct: 4.18 (4.27) proj_loss: -0.5903 (-0.5910) time: 0.3674 data: 0.0019 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:28 (0.377 s / it) [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.49 Lm: 6.671 (6.625) Lt: 5.952 (5.903) Accm: 2.90 (3.07) Acct: 4.77 (4.93) proj_loss: -0.6058 (-0.6090) time: 0.3674 data: 0.0017 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.49 Lm: 6.670 (6.701) Lt: 5.969 (5.979) Accm: 2.96 (2.84) Acct: 4.49 (4.43) proj_loss: -0.5998 (-0.6038) time: 0.3674 data: 0.0021 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.49 Lm: 6.690 (6.685) Lt: 5.999 (5.978) Accm: 2.86 (2.90) Acct: 4.46 (4.51) proj_loss: -0.6132 (-0.6106) time: 0.3674 data: 0.0019 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:28 (0.377 s / it) [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:28 (0.377 s / it) [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:28 (0.377 s / it) [11-24 08:52:27] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.712 (6.721), Lt: 6.006 (6.010), Acc m&t: 2.84 4.46, Remain: 19:10:09, Finish: 2024-11-24 12:02 [11-24 08:52:27] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.712 (6.721), Lt: 6.006 (6.010), Acc m&t: 2.84 4.46, Remain: 19:10:45, Finish: 2024-11-24 12:03 [11-24 08:52:27] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.712 (6.721), Lt: 6.006 (6.010), Acc m&t: 2.84 4.46, Remain: 19:10:01, Finish: 2024-11-24 12:02 [11-24 08:52:27] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.712 (6.721), Lt: 6.006 (6.010), Acc m&t: 2.84 4.46, Remain: 19:11:00, Finish: 2024-11-24 12:03 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:09:50 tlr: 8.4e-05 tnm: 0.49 Lm: 6.745 (6.745) Lt: 6.097 (6.097) Accm: 2.52 (2.52) Acct: 3.68 (3.68) proj_loss: -0.6104 (-0.6104) time: 0.3540 data: 0.0004 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:09:55 tlr: 8.4e-05 tnm: 0.49 Lm: 6.745 (6.745) Lt: 5.943 (5.943) Accm: 3.00 (3.00) Acct: 4.75 (4.75) proj_loss: -0.5687 (-0.5687) time: 0.3571 data: 0.0004 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:09:55 tlr: 8.4e-05 tnm: 0.49 Lm: 6.589 (6.589) Lt: 5.847 (5.847) Accm: 3.26 (3.26) Acct: 5.29 (5.29) proj_loss: -0.6132 (-0.6132) time: 0.3569 data: 0.0004 [11-24 08:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:09:55 tlr: 8.4e-05 tnm: 0.49 Lm: 6.601 (6.601) Lt: 5.858 (5.858) Accm: 3.19 (3.19) Acct: 5.27 (5.27) proj_loss: -0.6040 (-0.6040) time: 0.3568 data: 0.0004 [11-24 08:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:38 tlr: 8.4e-05 tnm: 0.49 Lm: 6.627 (6.627) Lt: 5.885 (5.885) Accm: 3.09 (3.09) Acct: 4.97 (4.97) proj_loss: -0.6022 (-0.6022) time: 0.3600 data: 0.0002 [11-24 08:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:38 tlr: 8.4e-05 tnm: 0.49 Lm: 6.694 (6.694) Lt: 5.990 (5.990) Accm: 2.71 (2.71) Acct: 4.18 (4.18) proj_loss: -0.5998 (-0.5998) time: 0.3600 data: 0.0003 [11-24 08:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:38 tlr: 8.4e-05 tnm: 0.49 Lm: 6.726 (6.726) Lt: 5.973 (5.973) Accm: 2.87 (2.87) Acct: 4.54 (4.54) proj_loss: -0.5875 (-0.5875) time: 0.3600 data: 0.0003 [11-24 08:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:38 tlr: 8.4e-05 tnm: 0.49 Lm: 6.658 (6.658) Lt: 5.912 (5.912) Accm: 2.98 (2.98) Acct: 4.77 (4.77) proj_loss: -0.6065 (-0.6065) time: 0.3600 data: 0.0003 [11-24 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:06 tlr: 8.4e-05 tnm: 0.49 Lm: 6.727 (6.696) Lt: 5.976 (5.953) Accm: 2.87 (2.95) Acct: 4.46 (4.67) proj_loss: -0.5997 (-0.5953) time: 0.3643 data: 0.0003 [11-24 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:06 tlr: 8.4e-05 tnm: 0.49 Lm: 6.745 (6.733) Lt: 6.003 (6.003) Accm: 2.86 (2.87) Acct: 4.32 (4.42) proj_loss: -0.6026 (-0.5925) time: 0.3642 data: 0.0002 [11-24 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:06 tlr: 8.4e-05 tnm: 0.49 Lm: 6.652 (6.661) Lt: 5.912 (5.919) Accm: 2.99 (2.97) Acct: 4.67 (4.72) proj_loss: -0.6040 (-0.6051) time: 0.3643 data: 0.0003 [11-24 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:06 tlr: 8.4e-05 tnm: 0.49 Lm: 6.745 (6.724) Lt: 6.035 (6.005) Accm: 2.52 (2.62) Acct: 4.05 (4.14) proj_loss: -0.6008 (-0.6001) time: 0.3643 data: 0.0003 [11-24 09:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.764 (6.763) Lt: 6.066 (6.070) Accm: 2.49 (2.58) Acct: 3.98 (4.08) proj_loss: -0.6056 (-0.6036) time: 0.3614 data: 0.0003 [11-24 09:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.746 (6.745) Lt: 6.033 (6.023) Accm: 2.80 (2.83) Acct: 4.26 (4.36) proj_loss: -0.6032 (-0.5953) time: 0.3614 data: 0.0002 [11-24 09:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.632 (6.649) Lt: 5.921 (5.922) Accm: 3.06 (3.01) Acct: 4.77 (4.76) proj_loss: -0.6039 (-0.6048) time: 0.3614 data: 0.0003 [11-24 09:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.658 (6.669) Lt: 5.936 (5.939) Accm: 2.99 (2.99) Acct: 4.48 (4.62) proj_loss: -0.5980 (-0.5956) time: 0.3614 data: 0.0003 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.47 Lm: 6.589 (6.633) Lt: 5.895 (5.900) Accm: 3.11 (3.12) Acct: 4.49 (4.80) proj_loss: -0.5963 (-0.5935) time: 0.3633 data: 0.0018 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:08 (0.365 s / it) [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.47 Lm: 6.636 (6.646) Lt: 5.931 (5.933) Accm: 3.04 (3.02) Acct: 4.79 (4.76) proj_loss: -0.6038 (-0.6034) time: 0.3633 data: 0.0016 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.47 Lm: 6.747 (6.749) Lt: 6.063 (6.036) Accm: 2.78 (2.82) Acct: 4.20 (4.31) proj_loss: -0.6026 (-0.5930) time: 0.3633 data: 0.0018 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.47 Lm: 6.745 (6.754) Lt: 6.035 (6.063) Accm: 2.52 (2.63) Acct: 4.05 (4.16) proj_loss: -0.6104 (-0.6063) time: 0.3633 data: 0.0014 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:08 (0.365 s / it) [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:08 (0.365 s / it) [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:08 (0.365 s / it) [11-24 09:02:36] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.708 (6.708), Lt: 5.999 (5.999), Acc m&t: 2.84 4.46, Remain: 18:46:54, Finish: 2024-11-24 11:49 [11-24 09:02:36] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.708 (6.708), Lt: 5.999 (5.999), Acc m&t: 2.84 4.46, Remain: 18:47:57, Finish: 2024-11-24 11:50 [11-24 09:02:36] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.708 (6.708), Lt: 5.999 (5.999), Acc m&t: 2.84 4.46, Remain: 18:47:26, Finish: 2024-11-24 11:50 [11-24 09:02:36] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.708 (6.708), Lt: 5.999 (5.999), Acc m&t: 2.84 4.46, Remain: 18:47:13, Finish: 2024-11-24 11:49 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:52 tlr: 8.3e-05 tnm: 0.46 Lm: 6.702 (6.702) Lt: 6.063 (6.063) Accm: 2.72 (2.72) Acct: 4.17 (4.17) proj_loss: -0.6385 (-0.6385) time: 0.3550 data: 0.0003 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:52 tlr: 8.3e-05 tnm: 0.46 Lm: 6.616 (6.616) Lt: 5.934 (5.934) Accm: 3.10 (3.10) Acct: 4.82 (4.82) proj_loss: -0.5634 (-0.5634) time: 0.3549 data: 0.0005 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:49 tlr: 8.3e-05 tnm: 0.46 Lm: 6.735 (6.735) Lt: 6.055 (6.055) Accm: 2.60 (2.60) Acct: 4.29 (4.29) proj_loss: -0.6223 (-0.6223) time: 0.3530 data: 0.0003 [11-24 09:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:53 tlr: 8.3e-05 tnm: 0.46 Lm: 6.650 (6.650) Lt: 5.917 (5.917) Accm: 2.91 (2.91) Acct: 4.61 (4.61) proj_loss: -0.5902 (-0.5902) time: 0.3557 data: 0.0004 [11-24 09:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:33 tlr: 8.3e-05 tnm: 0.48 Lm: 6.608 (6.608) Lt: 5.881 (5.881) Accm: 3.10 (3.10) Acct: 4.87 (4.87) proj_loss: -0.5959 (-0.5959) time: 0.3627 data: 0.0003 [11-24 09:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:33 tlr: 8.3e-05 tnm: 0.48 Lm: 6.640 (6.640) Lt: 5.956 (5.956) Accm: 3.08 (3.08) Acct: 4.80 (4.80) proj_loss: -0.5772 (-0.5772) time: 0.3627 data: 0.0003 [11-24 09:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:33 tlr: 8.3e-05 tnm: 0.48 Lm: 6.726 (6.726) Lt: 6.040 (6.040) Accm: 2.68 (2.68) Acct: 4.10 (4.10) proj_loss: -0.6155 (-0.6155) time: 0.3627 data: 0.0003 [11-24 09:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:33 tlr: 8.3e-05 tnm: 0.48 Lm: 6.764 (6.764) Lt: 6.117 (6.117) Accm: 2.54 (2.54) Acct: 3.96 (3.96) proj_loss: -0.6120 (-0.6120) time: 0.3627 data: 0.0002 [11-24 09:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:02 tlr: 8.3e-05 tnm: 0.48 Lm: 6.792 (6.773) Lt: 6.080 (6.105) Accm: 2.48 (2.51) Acct: 3.81 (3.91) proj_loss: -0.6016 (-0.6075) time: 0.3634 data: 0.0003 [11-24 09:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:02 tlr: 8.3e-05 tnm: 0.48 Lm: 6.650 (6.644) Lt: 5.934 (5.948) Accm: 3.06 (3.07) Acct: 4.82 (4.87) proj_loss: -0.5911 (-0.5923) time: 0.3634 data: 0.0003 [11-24 09:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:02 tlr: 8.3e-05 tnm: 0.48 Lm: 6.650 (6.667) Lt: 5.917 (5.933) Accm: 2.91 (2.96) Acct: 4.61 (4.67) proj_loss: -0.6006 (-0.5975) time: 0.3634 data: 0.0003 [11-24 09:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:02 tlr: 8.3e-05 tnm: 0.48 Lm: 6.728 (6.726) Lt: 6.016 (6.028) Accm: 2.72 (2.70) Acct: 4.17 (4.21) proj_loss: -0.6019 (-0.6110) time: 0.3634 data: 0.0003 [11-24 09:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:32 tlr: 8.3e-05 tnm: 0.50 Lm: 6.715 (6.694) Lt: 6.010 (5.993) Accm: 2.74 (2.82) Acct: 4.30 (4.38) proj_loss: -0.6000 (-0.6078) time: 0.3617 data: 0.0003 [11-24 09:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:32 tlr: 8.3e-05 tnm: 0.50 Lm: 6.657 (6.696) Lt: 5.956 (6.007) Accm: 3.05 (2.94) Acct: 4.80 (4.66) proj_loss: -0.5870 (-0.5900) time: 0.3617 data: 0.0003 [11-24 09:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:32 tlr: 8.3e-05 tnm: 0.50 Lm: 6.711 (6.694) Lt: 5.977 (5.972) Accm: 2.80 (2.89) Acct: 4.43 (4.52) proj_loss: -0.5954 (-0.5947) time: 0.3617 data: 0.0003 [11-24 09:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:32 tlr: 8.3e-05 tnm: 0.50 Lm: 6.764 (6.762) Lt: 6.068 (6.077) Accm: 2.54 (2.64) Acct: 4.05 (4.09) proj_loss: -0.6029 (-0.6067) time: 0.3617 data: 0.0003 [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.749 (6.759) Lt: 6.080 (6.084) Accm: 2.60 (2.65) Acct: 4.18 (4.11) proj_loss: -0.6043 (-0.6081) time: 0.3652 data: 0.0019 [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:08 (0.364 s / it) [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.665 (6.717) Lt: 5.979 (6.034) Accm: 3.04 (2.92) Acct: 4.79 (4.61) proj_loss: -0.5829 (-0.5879) time: 0.3653 data: 0.0015 [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.745 (6.704) Lt: 6.038 (5.997) Accm: 2.70 (2.85) Acct: 4.39 (4.49) proj_loss: -0.6006 (-0.5984) time: 0.3652 data: 0.0021 [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.702 (6.680) Lt: 6.003 (5.974) Accm: 2.75 (2.89) Acct: 4.42 (4.53) proj_loss: -0.5982 (-0.6037) time: 0.3653 data: 0.0018 [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:08 (0.364 s / it) [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:08 (0.364 s / it) [11-24 09:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:08 (0.364 s / it) [11-24 09:15:01] (home/user/VAR/trainer.py, line 114)=> FID: 4.064848549704493 [11-24 09:15:02] (/home/user/VAR/train.py , line 259)=> [*] [ep239] (val 50000) Lm: 6.7214, Lt: 6.0178, Acc m&t: 2.83 4.43, Val cost: 137.19s [11-24 09:15:02] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 09:15:16] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.708 (6.721), Lt: 5.999 (6.018), Acc m&t: 2.84 4.46, Remain: 18:39:49, Finish: 2024-11-24 11:52 [11-24 09:15:16] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.708 (6.721), Lt: 5.999 (6.018), Acc m&t: 2.84 4.46, Remain: 18:39:56, Finish: 2024-11-24 11:52 [11-24 09:15:16] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.708 (6.721), Lt: 5.999 (6.018), Acc m&t: 2.84 4.46, Remain: 18:40:25, Finish: 2024-11-24 11:53 [11-24 09:15:16] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.708 (6.721), Lt: 5.999 (6.018), Acc m&t: 2.84 4.46, Remain: 18:40:05, Finish: 2024-11-24 11:52 [11-24 09:15:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:10:17 tlr: 8.3e-05 tnm: 0.49 Lm: 6.528 (6.528) Lt: 5.807 (5.807) Accm: 3.22 (3.22) Acct: 4.91 (4.91) proj_loss: -0.5857 (-0.5857) time: 0.3701 data: 0.0004 [11-24 09:15:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:10:18 tlr: 8.3e-05 tnm: 0.49 Lm: 6.619 (6.619) Lt: 5.940 (5.940) Accm: 3.21 (3.21) Acct: 4.89 (4.89) proj_loss: -0.6035 (-0.6035) time: 0.3705 data: 0.0003 [11-24 09:15:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:10:16 tlr: 8.3e-05 tnm: 0.49 Lm: 6.828 (6.828) Lt: 6.174 (6.174) Accm: 2.67 (2.67) Acct: 4.03 (4.03) proj_loss: -0.6087 (-0.6087) time: 0.3697 data: 0.0004 [11-24 09:15:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:10:15 tlr: 8.3e-05 tnm: 0.49 Lm: 6.746 (6.746) Lt: 6.037 (6.037) Accm: 2.70 (2.70) Acct: 4.30 (4.30) proj_loss: -0.5819 (-0.5819) time: 0.3690 data: 0.0004 [11-24 09:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:50 tlr: 8.2e-05 tnm: 0.49 Lm: 6.769 (6.769) Lt: 6.078 (6.078) Accm: 2.63 (2.63) Acct: 4.18 (4.18) proj_loss: -0.5813 (-0.5813) time: 0.3632 data: 0.0003 [11-24 09:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:50 tlr: 8.2e-05 tnm: 0.49 Lm: 6.544 (6.544) Lt: 5.811 (5.811) Accm: 3.27 (3.27) Acct: 4.98 (4.98) proj_loss: -0.5981 (-0.5981) time: 0.3632 data: 0.0003 [11-24 09:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:50 tlr: 8.2e-05 tnm: 0.49 Lm: 6.661 (6.661) Lt: 5.966 (5.966) Accm: 3.01 (3.01) Acct: 4.67 (4.67) proj_loss: -0.6000 (-0.6000) time: 0.3632 data: 0.0003 [11-24 09:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:50 tlr: 8.2e-05 tnm: 0.49 Lm: 6.773 (6.773) Lt: 6.091 (6.091) Accm: 2.83 (2.83) Acct: 4.32 (4.32) proj_loss: -0.6021 (-0.6021) time: 0.3632 data: 0.0003 [11-24 09:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:16 tlr: 8.2e-05 tnm: 0.48 Lm: 6.719 (6.709) Lt: 6.008 (6.015) Accm: 2.99 (2.88) Acct: 4.61 (4.45) proj_loss: -0.6087 (-0.6057) time: 0.4024 data: 0.0003 [11-24 09:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:16 tlr: 8.2e-05 tnm: 0.48 Lm: 6.560 (6.595) Lt: 5.816 (5.853) Accm: 3.22 (3.13) Acct: 4.91 (4.88) proj_loss: -0.5921 (-0.5961) time: 0.4024 data: 0.0003 [11-24 09:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:16 tlr: 8.2e-05 tnm: 0.48 Lm: 6.746 (6.752) Lt: 6.048 (6.068) Accm: 2.70 (2.71) Acct: 4.30 (4.24) proj_loss: -0.5819 (-0.5875) time: 0.4024 data: 0.0003 [11-24 09:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:16 tlr: 8.2e-05 tnm: 0.48 Lm: 6.704 (6.709) Lt: 5.993 (6.021) Accm: 2.82 (2.88) Acct: 4.44 (4.45) proj_loss: -0.5964 (-0.5920) time: 0.4024 data: 0.0003 [11-24 09:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:38 tlr: 8.2e-05 tnm: 0.51 Lm: 6.710 (6.711) Lt: 5.998 (6.016) Accm: 2.79 (2.85) Acct: 4.36 (4.41) proj_loss: -0.5955 (-0.5926) time: 0.3644 data: 0.0003 [11-24 09:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:38 tlr: 8.2e-05 tnm: 0.51 Lm: 6.627 (6.620) Lt: 5.876 (5.886) Accm: 3.04 (2.98) Acct: 4.80 (4.68) proj_loss: -0.5980 (-0.5981) time: 0.3644 data: 0.0002 [11-24 09:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:38 tlr: 8.2e-05 tnm: 0.51 Lm: 6.773 (6.754) Lt: 6.091 (6.058) Accm: 2.83 (2.75) Acct: 4.32 (4.21) proj_loss: -0.6021 (-0.5986) time: 0.3644 data: 0.0003 [11-24 09:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:38 tlr: 8.2e-05 tnm: 0.51 Lm: 6.732 (6.726) Lt: 6.042 (6.046) Accm: 2.78 (2.79) Acct: 4.33 (4.33) proj_loss: -0.5881 (-0.5892) time: 0.3644 data: 0.0003 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.48 Lm: 6.718 (6.713) Lt: 6.037 (6.033) Accm: 2.86 (2.82) Acct: 4.36 (4.42) proj_loss: -0.5944 (-0.5934) time: 0.4077 data: 0.0018 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:29 (0.377 s / it) [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.48 Lm: 6.694 (6.652) Lt: 5.937 (5.932) Accm: 2.86 (2.89) Acct: 4.68 (4.54) proj_loss: -0.5921 (-0.5952) time: 0.4077 data: 0.0021 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.48 Lm: 6.719 (6.731) Lt: 6.008 (6.039) Accm: 2.89 (2.78) Acct: 4.46 (4.26) proj_loss: -0.6069 (-0.6003) time: 0.4077 data: 0.0016 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.48 Lm: 6.704 (6.708) Lt: 5.993 (6.007) Accm: 2.82 (2.86) Acct: 4.44 (4.42) proj_loss: -0.5947 (-0.5920) time: 0.4077 data: 0.0017 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:29 (0.377 s / it) [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:29 (0.377 s / it) [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:29 (0.377 s / it) [11-24 09:25:46] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.704 (6.704), Lt: 5.995 (5.995), Acc m&t: 2.84 4.46, Remain: 18:29:49, Finish: 2024-11-24 11:55 [11-24 09:25:46] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.704 (6.704), Lt: 5.995 (5.995), Acc m&t: 2.84 4.46, Remain: 18:29:52, Finish: 2024-11-24 11:55 [11-24 09:25:46] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.704 (6.704), Lt: 5.995 (5.995), Acc m&t: 2.84 4.46, Remain: 18:29:32, Finish: 2024-11-24 11:55 [11-24 09:25:46] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.704 (6.704), Lt: 5.995 (5.995), Acc m&t: 2.84 4.46, Remain: 18:29:16, Finish: 2024-11-24 11:55 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:35 tlr: 8.2e-05 tnm: 0.48 Lm: 6.706 (6.706) Lt: 5.976 (5.976) Accm: 2.75 (2.75) Acct: 4.46 (4.46) proj_loss: -0.5922 (-0.5922) time: 0.3447 data: 0.0004 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:43 tlr: 8.2e-05 tnm: 0.48 Lm: 6.363 (6.363) Lt: 5.538 (5.538) Accm: 3.74 (3.74) Acct: 6.16 (6.16) proj_loss: -0.6130 (-0.6130) time: 0.3496 data: 0.0004 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:35 tlr: 8.2e-05 tnm: 0.48 Lm: 6.683 (6.683) Lt: 5.962 (5.962) Accm: 2.77 (2.77) Acct: 4.49 (4.49) proj_loss: -0.5958 (-0.5958) time: 0.3446 data: 0.0004 [11-24 09:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:35 tlr: 8.2e-05 tnm: 0.48 Lm: 6.809 (6.809) Lt: 6.076 (6.076) Accm: 2.62 (2.62) Acct: 4.22 (4.22) proj_loss: -0.5946 (-0.5946) time: 0.3450 data: 0.0004 [11-24 09:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:38 tlr: 8.2e-05 tnm: 0.49 Lm: 6.870 (6.870) Lt: 6.185 (6.185) Accm: 2.42 (2.42) Acct: 3.83 (3.83) proj_loss: -0.5887 (-0.5887) time: 0.4087 data: 0.0003 [11-24 09:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:38 tlr: 8.2e-05 tnm: 0.49 Lm: 6.773 (6.773) Lt: 6.093 (6.093) Accm: 2.68 (2.68) Acct: 4.25 (4.25) proj_loss: -0.5898 (-0.5898) time: 0.4087 data: 0.0003 [11-24 09:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:38 tlr: 8.2e-05 tnm: 0.49 Lm: 6.659 (6.659) Lt: 5.987 (5.987) Accm: 2.86 (2.86) Acct: 4.60 (4.60) proj_loss: -0.6085 (-0.6085) time: 0.4087 data: 0.0003 [11-24 09:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:38 tlr: 8.2e-05 tnm: 0.49 Lm: 6.589 (6.589) Lt: 5.828 (5.828) Accm: 3.27 (3.27) Acct: 5.32 (5.32) proj_loss: -0.6035 (-0.6035) time: 0.4087 data: 0.0003 [11-24 09:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:04 tlr: 8.2e-05 tnm: 0.48 Lm: 6.703 (6.627) Lt: 5.997 (5.884) Accm: 2.81 (3.10) Acct: 4.48 (4.94) proj_loss: -0.5940 (-0.6003) time: 0.3634 data: 0.0002 [11-24 09:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:04 tlr: 8.2e-05 tnm: 0.48 Lm: 6.840 (6.804) Lt: 6.210 (6.135) Accm: 2.62 (2.58) Acct: 4.05 (4.02) proj_loss: -0.5922 (-0.5957) time: 0.3634 data: 0.0003 [11-24 09:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:04 tlr: 8.2e-05 tnm: 0.48 Lm: 6.809 (6.784) Lt: 6.076 (6.082) Accm: 2.62 (2.65) Acct: 4.22 (4.18) proj_loss: -0.5894 (-0.5889) time: 0.3634 data: 0.0003 [11-24 09:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:04 tlr: 8.2e-05 tnm: 0.48 Lm: 6.670 (6.663) Lt: 6.006 (5.993) Accm: 2.94 (2.91) Acct: 4.49 (4.54) proj_loss: -0.6211 (-0.6151) time: 0.3634 data: 0.0003 [11-24 09:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:32 tlr: 8.1e-05 tnm: 0.48 Lm: 6.676 (6.678) Lt: 6.008 (6.001) Accm: 2.98 (2.94) Acct: 4.60 (4.60) proj_loss: -0.6121 (-0.6121) time: 0.3622 data: 0.0003 [11-24 09:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:32 tlr: 8.1e-05 tnm: 0.48 Lm: 6.773 (6.763) Lt: 6.093 (6.066) Accm: 2.68 (2.72) Acct: 4.25 (4.31) proj_loss: -0.5932 (-0.5953) time: 0.3622 data: 0.0003 [11-24 09:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:32 tlr: 8.1e-05 tnm: 0.48 Lm: 6.732 (6.660) Lt: 6.032 (5.930) Accm: 2.78 (3.00) Acct: 4.33 (4.73) proj_loss: -0.6016 (-0.6025) time: 0.3622 data: 0.0003 [11-24 09:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:32 tlr: 8.1e-05 tnm: 0.48 Lm: 6.774 (6.772) Lt: 6.023 (6.054) Accm: 2.70 (2.68) Acct: 4.35 (4.26) proj_loss: -0.5920 (-0.5913) time: 0.3622 data: 0.0003 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.49 Lm: 6.738 (6.756) Lt: 5.971 (6.032) Accm: 2.64 (2.67) Acct: 4.22 (4.19) proj_loss: -0.5931 (-0.5917) time: 0.3642 data: 0.0019 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.49 Lm: 6.747 (6.760) Lt: 6.054 (6.063) Accm: 2.62 (2.69) Acct: 4.17 (4.28) proj_loss: -0.5943 (-0.5983) time: 0.3642 data: 0.0016 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:06 (0.364 s / it) [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.49 Lm: 6.703 (6.659) Lt: 5.997 (5.920) Accm: 2.81 (3.03) Acct: 4.48 (4.87) proj_loss: -0.5940 (-0.5984) time: 0.3642 data: 0.0020 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.49 Lm: 6.670 (6.667) Lt: 6.006 (5.977) Accm: 3.02 (3.00) Acct: 4.70 (4.68) proj_loss: -0.6031 (-0.6055) time: 0.3642 data: 0.0018 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:06 (0.364 s / it) [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:06 (0.364 s / it) [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:06 (0.364 s / it) [11-24 09:35:53] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.700 (6.700), Lt: 5.991 (5.991), Acc m&t: 2.87 4.50, Remain: 18:17:53, Finish: 2024-11-24 11:53 [11-24 09:35:53] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.700 (6.700), Lt: 5.991 (5.991), Acc m&t: 2.87 4.50, Remain: 18:18:29, Finish: 2024-11-24 11:54 [11-24 09:35:53] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.700 (6.700), Lt: 5.991 (5.991), Acc m&t: 2.87 4.50, Remain: 18:18:33, Finish: 2024-11-24 11:54 [11-24 09:35:53] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.700 (6.700), Lt: 5.991 (5.991), Acc m&t: 2.87 4.50, Remain: 18:18:21, Finish: 2024-11-24 11:54 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:09:55 tlr: 8.1e-05 tnm: 0.50 Lm: 6.810 (6.810) Lt: 6.119 (6.119) Accm: 2.48 (2.48) Acct: 4.15 (4.15) proj_loss: -0.6221 (-0.6221) time: 0.3565 data: 0.0003 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:09:57 tlr: 8.1e-05 tnm: 0.50 Lm: 6.663 (6.663) Lt: 5.966 (5.966) Accm: 3.07 (3.07) Acct: 4.77 (4.77) proj_loss: -0.5958 (-0.5958) time: 0.3577 data: 0.0004 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:09:55 tlr: 8.1e-05 tnm: 0.50 Lm: 6.723 (6.723) Lt: 6.024 (6.024) Accm: 2.59 (2.59) Acct: 4.17 (4.17) proj_loss: -0.5984 (-0.5984) time: 0.3569 data: 0.0004 [11-24 09:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:09:54 tlr: 8.1e-05 tnm: 0.50 Lm: 6.903 (6.903) Lt: 6.227 (6.227) Accm: 2.02 (2.02) Acct: 3.15 (3.15) proj_loss: -0.5943 (-0.5943) time: 0.3563 data: 0.0004 [11-24 09:38:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:07:34 tlr: 8.1e-05 tnm: 0.50 Lm: 6.792 (6.792) Lt: 6.104 (6.104) Accm: 2.41 (2.41) Acct: 3.71 (3.71) proj_loss: -0.5859 (-0.5859) time: 0.3624 data: 0.0003 [11-24 09:38:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:07:34 tlr: 8.1e-05 tnm: 0.50 Lm: 6.700 (6.700) Lt: 5.988 (5.988) Accm: 2.96 (2.96) Acct: 4.62 (4.62) proj_loss: -0.5889 (-0.5889) time: 0.3624 data: 0.0002 [11-24 09:38:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:07:34 tlr: 8.1e-05 tnm: 0.50 Lm: 6.757 (6.757) Lt: 6.060 (6.060) Accm: 2.62 (2.62) Acct: 4.21 (4.21) proj_loss: -0.6018 (-0.6018) time: 0.3624 data: 0.0003 [11-24 09:38:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:07:34 tlr: 8.1e-05 tnm: 0.50 Lm: 6.794 (6.794) Lt: 6.092 (6.092) Accm: 2.48 (2.48) Acct: 4.04 (4.04) proj_loss: -0.5974 (-0.5974) time: 0.3624 data: 0.0003 [11-24 09:40:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:02 tlr: 8.1e-05 tnm: 0.48 Lm: 6.778 (6.748) Lt: 6.065 (6.027) Accm: 2.49 (2.67) Acct: 4.15 (4.30) proj_loss: -0.5960 (-0.5970) time: 0.3604 data: 0.0002 [11-24 09:40:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:02 tlr: 8.1e-05 tnm: 0.48 Lm: 6.663 (6.641) Lt: 5.966 (5.925) Accm: 3.07 (3.10) Acct: 4.77 (4.89) proj_loss: -0.5958 (-0.5963) time: 0.3604 data: 0.0003 [11-24 09:40:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:02 tlr: 8.1e-05 tnm: 0.48 Lm: 6.747 (6.777) Lt: 6.031 (6.079) Accm: 2.78 (2.54) Acct: 4.27 (3.99) proj_loss: -0.5943 (-0.5887) time: 0.3604 data: 0.0003 [11-24 09:40:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:02 tlr: 8.1e-05 tnm: 0.48 Lm: 6.790 (6.782) Lt: 6.097 (6.077) Accm: 2.59 (2.58) Acct: 4.17 (4.08) proj_loss: -0.5984 (-0.6003) time: 0.3604 data: 0.0004 [11-24 09:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:31 tlr: 8.1e-05 tnm: 0.48 Lm: 6.757 (6.753) Lt: 6.060 (6.031) Accm: 2.62 (2.70) Acct: 4.21 (4.28) proj_loss: -0.5987 (-0.6000) time: 0.3612 data: 0.0003 [11-24 09:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:31 tlr: 8.1e-05 tnm: 0.48 Lm: 6.699 (6.664) Lt: 5.988 (5.949) Accm: 2.96 (2.99) Acct: 4.62 (4.68) proj_loss: -0.5977 (-0.5971) time: 0.3612 data: 0.0003 [11-24 09:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:31 tlr: 8.1e-05 tnm: 0.48 Lm: 6.735 (6.734) Lt: 6.017 (6.013) Accm: 2.67 (2.71) Acct: 4.31 (4.34) proj_loss: -0.5881 (-0.5927) time: 0.3612 data: 0.0002 [11-24 09:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:31 tlr: 8.1e-05 tnm: 0.48 Lm: 6.713 (6.734) Lt: 6.005 (6.030) Accm: 2.80 (2.65) Acct: 4.41 (4.14) proj_loss: -0.5944 (-0.5904) time: 0.3612 data: 0.0002 [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.747 (6.743) Lt: 6.031 (6.043) Accm: 2.78 (2.68) Acct: 4.27 (4.14) proj_loss: -0.5945 (-0.5939) time: 0.3646 data: 0.0016 [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:09 (0.365 s / it) [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.723 (6.730) Lt: 6.024 (6.007) Accm: 2.65 (2.78) Acct: 4.25 (4.36) proj_loss: -0.5990 (-0.6014) time: 0.3646 data: 0.0019 [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.778 (6.751) Lt: 6.065 (6.032) Accm: 2.69 (2.71) Acct: 4.34 (4.34) proj_loss: -0.5891 (-0.5920) time: 0.3645 data: 0.0016 [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.706 (6.673) Lt: 5.998 (5.959) Accm: 2.91 (2.98) Acct: 4.75 (4.69) proj_loss: -0.5984 (-0.5974) time: 0.3646 data: 0.0019 [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:09 (0.365 s / it) [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:09 (0.365 s / it) [11-24 09:46:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:09 (0.365 s / it) [11-24 09:46:02] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.700 (6.722), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 18:10:43, Finish: 2024-11-24 11:56 [11-24 09:46:02] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.700 (6.722), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 18:10:05, Finish: 2024-11-24 11:56 [11-24 09:46:02] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.700 (6.722), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 18:10:15, Finish: 2024-11-24 11:56 [11-24 09:46:02] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.700 (6.722), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 18:10:02, Finish: 2024-11-24 11:56 [11-24 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:09:50 tlr: 8e-05 tnm: 0.49 Lm: 6.645 (6.645) Lt: 5.881 (5.881) Accm: 3.15 (3.15) Acct: 5.32 (5.32) proj_loss: -0.5798 (-0.5798) time: 0.3539 data: 0.0004 [11-24 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:09:55 tlr: 8e-05 tnm: 0.49 Lm: 6.732 (6.732) Lt: 6.001 (6.001) Accm: 2.71 (2.71) Acct: 3.91 (3.91) proj_loss: -0.6023 (-0.6023) time: 0.3566 data: 0.0003 [11-24 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:09:55 tlr: 8e-05 tnm: 0.49 Lm: 6.498 (6.498) Lt: 5.748 (5.748) Accm: 3.54 (3.54) Acct: 5.79 (5.79) proj_loss: -0.6118 (-0.6118) time: 0.3566 data: 0.0003 [11-24 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:09:52 tlr: 8e-05 tnm: 0.49 Lm: 6.685 (6.685) Lt: 5.938 (5.938) Accm: 2.94 (2.94) Acct: 4.49 (4.49) proj_loss: -0.6119 (-0.6119) time: 0.3549 data: 0.0004 [11-24 09:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:50 tlr: 8e-05 tnm: 0.50 Lm: 6.741 (6.741) Lt: 6.043 (6.043) Accm: 2.68 (2.68) Acct: 4.16 (4.16) proj_loss: -0.6028 (-0.6028) time: 0.4046 data: 0.0002 [11-24 09:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:50 tlr: 8e-05 tnm: 0.50 Lm: 6.590 (6.590) Lt: 5.834 (5.834) Accm: 3.25 (3.25) Acct: 5.25 (5.25) proj_loss: -0.6117 (-0.6117) time: 0.4046 data: 0.0002 [11-24 09:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:50 tlr: 8e-05 tnm: 0.50 Lm: 6.726 (6.726) Lt: 6.018 (6.018) Accm: 2.91 (2.91) Acct: 4.85 (4.85) proj_loss: -0.5898 (-0.5898) time: 0.4046 data: 0.0003 [11-24 09:48:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:50 tlr: 8e-05 tnm: 0.50 Lm: 6.627 (6.627) Lt: 5.889 (5.889) Accm: 3.10 (3.10) Acct: 4.66 (4.66) proj_loss: -0.5914 (-0.5914) time: 0.4046 data: 0.0003 [11-24 09:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:15 tlr: 8e-05 tnm: 0.49 Lm: 6.666 (6.640) Lt: 5.971 (5.916) Accm: 2.83 (3.01) Acct: 4.67 (4.66) proj_loss: -0.5926 (-0.5918) time: 0.3648 data: 0.0003 [11-24 09:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:15 tlr: 8e-05 tnm: 0.49 Lm: 6.676 (6.619) Lt: 5.921 (5.883) Accm: 2.95 (3.10) Acct: 4.72 (4.90) proj_loss: -0.6116 (-0.6058) time: 0.3648 data: 0.0002 [11-24 09:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:15 tlr: 8e-05 tnm: 0.49 Lm: 6.751 (6.744) Lt: 6.088 (6.058) Accm: 2.82 (2.73) Acct: 4.25 (4.19) proj_loss: -0.6119 (-0.6092) time: 0.3648 data: 0.0003 [11-24 09:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:15 tlr: 8e-05 tnm: 0.49 Lm: 6.655 (6.702) Lt: 5.991 (6.009) Accm: 2.94 (2.92) Acct: 4.67 (4.79) proj_loss: -0.5928 (-0.5908) time: 0.3648 data: 0.0003 [11-24 09:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:38 tlr: 8e-05 tnm: 0.49 Lm: 6.699 (6.664) Lt: 5.984 (5.936) Accm: 2.77 (2.92) Acct: 4.36 (4.51) proj_loss: -0.5866 (-0.5864) time: 0.3632 data: 0.0003 [11-24 09:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:38 tlr: 8e-05 tnm: 0.49 Lm: 6.679 (6.671) Lt: 5.951 (5.949) Accm: 2.88 (2.98) Acct: 4.46 (4.68) proj_loss: -0.6043 (-0.6036) time: 0.3632 data: 0.0003 [11-24 09:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:38 tlr: 8e-05 tnm: 0.49 Lm: 6.676 (6.701) Lt: 5.987 (6.002) Accm: 2.88 (2.90) Acct: 4.52 (4.67) proj_loss: -0.5963 (-0.5951) time: 0.3632 data: 0.0003 [11-24 09:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:38 tlr: 8e-05 tnm: 0.49 Lm: 6.742 (6.742) Lt: 6.052 (6.048) Accm: 2.66 (2.67) Acct: 4.04 (4.05) proj_loss: -0.6028 (-0.6023) time: 0.3632 data: 0.0003 [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.50 Lm: 6.751 (6.757) Lt: 6.078 (6.054) Accm: 2.67 (2.67) Acct: 4.01 (4.05) proj_loss: -0.6048 (-0.6028) time: 0.3653 data: 0.0021 [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:27 (0.376 s / it) [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.50 Lm: 6.697 (6.704) Lt: 5.982 (5.995) Accm: 2.83 (2.88) Acct: 4.37 (4.58) proj_loss: -0.5928 (-0.5923) time: 0.3653 data: 0.0014 [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.50 Lm: 6.676 (6.663) Lt: 5.921 (5.940) Accm: 2.95 (2.99) Acct: 4.72 (4.70) proj_loss: -0.5969 (-0.6012) time: 0.3653 data: 0.0019 [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.50 Lm: 6.732 (6.678) Lt: 5.997 (5.964) Accm: 2.71 (2.87) Acct: 4.06 (4.41) proj_loss: -0.5926 (-0.5909) time: 0.3653 data: 0.0019 [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:27 (0.376 s / it) [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:27 (0.376 s / it) [11-24 09:56:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:27 (0.376 s / it) [11-24 09:56:30] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.700 (6.703), Lt: 5.991 (5.994), Acc m&t: 2.87 4.50, Remain: 18:00:22, Finish: 2024-11-24 11:56 [11-24 09:56:30] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.700 (6.703), Lt: 5.991 (5.994), Acc m&t: 2.87 4.50, Remain: 18:00:13, Finish: 2024-11-24 11:56 [11-24 09:56:30] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.700 (6.703), Lt: 5.991 (5.994), Acc m&t: 2.87 4.50, Remain: 18:00:37, Finish: 2024-11-24 11:57 [11-24 09:56:30] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.700 (6.703), Lt: 5.991 (5.994), Acc m&t: 2.87 4.50, Remain: 18:00:37, Finish: 2024-11-24 11:57 [11-24 09:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:44 tlr: 8e-05 tnm: 0.50 Lm: 6.714 (6.714) Lt: 5.973 (5.973) Accm: 3.00 (3.00) Acct: 4.58 (4.58) proj_loss: -0.5886 (-0.5886) time: 0.3503 data: 0.0003 [11-24 09:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:46 tlr: 8e-05 tnm: 0.50 Lm: 6.723 (6.723) Lt: 6.004 (6.004) Accm: 2.85 (2.85) Acct: 4.61 (4.61) proj_loss: -0.5821 (-0.5821) time: 0.3513 data: 0.0004 [11-24 09:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:47 tlr: 8e-05 tnm: 0.50 Lm: 6.768 (6.768) Lt: 6.031 (6.031) Accm: 2.66 (2.66) Acct: 3.99 (3.99) proj_loss: -0.5894 (-0.5894) time: 0.3518 data: 0.0003 [11-24 09:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:46 tlr: 8e-05 tnm: 0.50 Lm: 6.834 (6.834) Lt: 6.148 (6.148) Accm: 2.36 (2.36) Acct: 3.74 (3.74) proj_loss: -0.5900 (-0.5900) time: 0.3517 data: 0.0004 [11-24 09:59:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:38 tlr: 8e-05 tnm: 0.49 Lm: 6.822 (6.822) Lt: 6.128 (6.128) Accm: 2.54 (2.54) Acct: 3.99 (3.99) proj_loss: -0.5890 (-0.5890) time: 0.3598 data: 0.0003 [11-24 09:59:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:38 tlr: 8e-05 tnm: 0.49 Lm: 6.742 (6.742) Lt: 6.023 (6.023) Accm: 2.80 (2.80) Acct: 4.45 (4.45) proj_loss: -0.5963 (-0.5963) time: 0.3598 data: 0.0002 [11-24 09:59:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:38 tlr: 8e-05 tnm: 0.49 Lm: 6.790 (6.790) Lt: 6.074 (6.074) Accm: 2.67 (2.67) Acct: 4.24 (4.24) proj_loss: -0.5806 (-0.5806) time: 0.3598 data: 0.0002 [11-24 09:59:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:38 tlr: 8e-05 tnm: 0.49 Lm: 6.721 (6.721) Lt: 5.997 (5.997) Accm: 2.87 (2.87) Acct: 4.56 (4.56) proj_loss: -0.5968 (-0.5968) time: 0.3598 data: 0.0002 [11-24 10:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:04 tlr: 7.9e-05 tnm: 0.50 Lm: 6.727 (6.794) Lt: 6.022 (6.094) Accm: 2.75 (2.70) Acct: 4.55 (4.29) proj_loss: -0.5886 (-0.5893) time: 0.3633 data: 0.0003 [11-24 10:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:04 tlr: 7.9e-05 tnm: 0.50 Lm: 6.723 (6.736) Lt: 6.042 (6.031) Accm: 2.76 (2.73) Acct: 4.29 (4.31) proj_loss: -0.6087 (-0.6004) time: 0.3633 data: 0.0003 [11-24 10:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:04 tlr: 7.9e-05 tnm: 0.50 Lm: 6.788 (6.789) Lt: 6.116 (6.104) Accm: 2.66 (2.63) Acct: 3.99 (4.14) proj_loss: -0.5894 (-0.5850) time: 0.3633 data: 0.0003 [11-24 10:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:04 tlr: 7.9e-05 tnm: 0.50 Lm: 6.811 (6.819) Lt: 6.148 (6.155) Accm: 2.62 (2.56) Acct: 3.87 (3.95) proj_loss: -0.5900 (-0.5979) time: 0.3633 data: 0.0003 [11-24 10:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:32 tlr: 7.9e-05 tnm: 0.51 Lm: 6.811 (6.770) Lt: 6.128 (6.090) Accm: 2.67 (2.72) Acct: 4.05 (4.15) proj_loss: -0.5890 (-0.5946) time: 0.3643 data: 0.0003 [11-24 10:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:32 tlr: 7.9e-05 tnm: 0.51 Lm: 6.723 (6.731) Lt: 6.023 (6.023) Accm: 2.74 (2.73) Acct: 4.18 (4.25) proj_loss: -0.6012 (-0.5988) time: 0.3643 data: 0.0003 [11-24 10:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:32 tlr: 7.9e-05 tnm: 0.51 Lm: 6.721 (6.743) Lt: 5.997 (6.028) Accm: 2.87 (2.80) Acct: 4.56 (4.42) proj_loss: -0.5963 (-0.5930) time: 0.3643 data: 0.0003 [11-24 10:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:32 tlr: 7.9e-05 tnm: 0.51 Lm: 6.778 (6.778) Lt: 6.074 (6.085) Accm: 2.67 (2.65) Acct: 4.15 (4.18) proj_loss: -0.5898 (-0.5864) time: 0.3643 data: 0.0003 [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.50 Lm: 6.768 (6.767) Lt: 6.031 (6.068) Accm: 2.68 (2.67) Acct: 4.30 (4.21) proj_loss: -0.5903 (-0.5893) time: 0.3651 data: 0.0017 [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:06 (0.363 s / it) [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.50 Lm: 6.722 (6.715) Lt: 6.004 (5.996) Accm: 2.76 (2.79) Acct: 4.29 (4.37) proj_loss: -0.5937 (-0.5971) time: 0.3651 data: 0.0016 [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.50 Lm: 6.726 (6.739) Lt: 5.973 (6.017) Accm: 2.76 (2.79) Acct: 4.55 (4.37) proj_loss: -0.5944 (-0.5932) time: 0.3651 data: 0.0015 [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.50 Lm: 6.811 (6.759) Lt: 6.108 (6.081) Accm: 2.67 (2.71) Acct: 3.93 (4.10) proj_loss: -0.5900 (-0.5982) time: 0.3651 data: 0.0018 [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:06 (0.363 s / it) [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:06 (0.363 s / it) [11-24 10:06:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:06 (0.363 s / it) [11-24 10:06:36] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.700 (6.720), Lt: 5.991 (6.009), Acc m&t: 2.87 4.50, Remain: 17:47:46, Finish: 2024-11-24 11:54 [11-24 10:06:36] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.700 (6.720), Lt: 5.991 (6.009), Acc m&t: 2.87 4.50, Remain: 17:47:20, Finish: 2024-11-24 11:53 [11-24 10:06:36] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.700 (6.720), Lt: 5.991 (6.009), Acc m&t: 2.87 4.50, Remain: 17:47:31, Finish: 2024-11-24 11:54 [11-24 10:06:36] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.700 (6.720), Lt: 5.991 (6.009), Acc m&t: 2.87 4.50, Remain: 17:47:48, Finish: 2024-11-24 11:54 [11-24 10:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:09:41 tlr: 7.9e-05 tnm: 0.49 Lm: 6.888 (6.888) Lt: 6.215 (6.215) Accm: 2.51 (2.51) Acct: 3.81 (3.81) proj_loss: -0.5837 (-0.5837) time: 0.3484 data: 0.0003 [11-24 10:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:09:41 tlr: 7.9e-05 tnm: 0.49 Lm: 6.744 (6.744) Lt: 6.032 (6.032) Accm: 2.90 (2.90) Acct: 4.51 (4.51) proj_loss: -0.5912 (-0.5912) time: 0.3487 data: 0.0004 [11-24 10:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:09:42 tlr: 7.9e-05 tnm: 0.49 Lm: 6.782 (6.782) Lt: 6.158 (6.158) Accm: 2.64 (2.64) Acct: 4.08 (4.08) proj_loss: -0.6045 (-0.6045) time: 0.3489 data: 0.0004 [11-24 10:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:09:40 tlr: 7.9e-05 tnm: 0.49 Lm: 6.708 (6.708) Lt: 5.964 (5.964) Accm: 3.07 (3.07) Acct: 4.70 (4.70) proj_loss: -0.5951 (-0.5951) time: 0.3477 data: 0.0004 [11-24 10:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:32 tlr: 7.9e-05 tnm: 0.50 Lm: 6.678 (6.678) Lt: 5.938 (5.938) Accm: 3.06 (3.06) Acct: 4.74 (4.74) proj_loss: -0.5922 (-0.5922) time: 0.3613 data: 0.0002 [11-24 10:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:32 tlr: 7.9e-05 tnm: 0.50 Lm: 6.767 (6.767) Lt: 6.069 (6.069) Accm: 2.74 (2.74) Acct: 4.29 (4.29) proj_loss: -0.5911 (-0.5911) time: 0.3613 data: 0.0003 [11-24 10:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:32 tlr: 7.9e-05 tnm: 0.50 Lm: 6.698 (6.698) Lt: 5.982 (5.982) Accm: 2.85 (2.85) Acct: 4.47 (4.47) proj_loss: -0.5961 (-0.5961) time: 0.3612 data: 0.0003 [11-24 10:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:32 tlr: 7.9e-05 tnm: 0.50 Lm: 6.722 (6.722) Lt: 6.042 (6.042) Accm: 2.74 (2.74) Acct: 4.23 (4.23) proj_loss: -0.6067 (-0.6067) time: 0.3613 data: 0.0003 [11-24 10:11:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:02 tlr: 7.9e-05 tnm: 0.50 Lm: 6.677 (6.707) Lt: 5.926 (6.001) Accm: 2.68 (2.72) Acct: 4.37 (4.29) proj_loss: -0.6045 (-0.6036) time: 0.3621 data: 0.0003 [11-24 10:11:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:02 tlr: 7.9e-05 tnm: 0.50 Lm: 6.647 (6.632) Lt: 5.911 (5.910) Accm: 3.07 (3.15) Acct: 4.79 (4.86) proj_loss: -0.5951 (-0.5954) time: 0.3621 data: 0.0003 [11-24 10:11:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:02 tlr: 7.9e-05 tnm: 0.50 Lm: 6.761 (6.765) Lt: 6.057 (6.065) Accm: 2.76 (2.74) Acct: 4.27 (4.28) proj_loss: -0.5985 (-0.5938) time: 0.3621 data: 0.0003 [11-24 10:11:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:02 tlr: 7.9e-05 tnm: 0.50 Lm: 6.653 (6.678) Lt: 5.933 (5.948) Accm: 2.90 (2.95) Acct: 4.51 (4.67) proj_loss: -0.5912 (-0.5941) time: 0.3621 data: 0.0003 [11-24 10:14:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:32 tlr: 7.8e-05 tnm: 0.48 Lm: 6.645 (6.658) Lt: 5.906 (5.922) Accm: 3.02 (2.99) Acct: 4.79 (4.79) proj_loss: -0.5934 (-0.5945) time: 0.4099 data: 0.0002 [11-24 10:14:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:32 tlr: 7.8e-05 tnm: 0.48 Lm: 6.703 (6.732) Lt: 5.990 (6.021) Accm: 2.86 (2.84) Acct: 4.52 (4.49) proj_loss: -0.5911 (-0.5908) time: 0.4099 data: 0.0003 [11-24 10:14:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:32 tlr: 7.8e-05 tnm: 0.48 Lm: 6.678 (6.664) Lt: 5.938 (5.952) Accm: 3.06 (3.03) Acct: 4.74 (4.69) proj_loss: -0.5985 (-0.6021) time: 0.4099 data: 0.0003 [11-24 10:14:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:32 tlr: 7.8e-05 tnm: 0.48 Lm: 6.669 (6.674) Lt: 5.923 (5.965) Accm: 2.76 (2.91) Acct: 4.40 (4.53) proj_loss: -0.6067 (-0.6093) time: 0.4099 data: 0.0003 [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.677 (6.691) Lt: 5.926 (5.982) Accm: 2.68 (2.84) Acct: 4.37 (4.46) proj_loss: -0.6045 (-0.6070) time: 0.3639 data: 0.0019 [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:09 (0.365 s / it) [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.761 (6.742) Lt: 6.057 (6.033) Accm: 2.84 (2.84) Acct: 4.41 (4.47) proj_loss: -0.5903 (-0.5907) time: 0.3639 data: 0.0018 [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.653 (6.677) Lt: 5.933 (5.938) Accm: 2.90 (2.95) Acct: 4.51 (4.69) proj_loss: -0.5922 (-0.5940) time: 0.3639 data: 0.0021 [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.647 (6.655) Lt: 5.911 (5.941) Accm: 3.07 (3.06) Acct: 4.79 (4.72) proj_loss: -0.6019 (-0.6059) time: 0.3639 data: 0.0015 [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:09 (0.365 s / it) [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:09 (0.365 s / it) [11-24 10:16:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:09 (0.365 s / it) [11-24 10:16:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.011), Acc m&t: 2.87 4.50, Remain: 17:34:57, Finish: 2024-11-24 11:51 [11-24 10:16:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.011), Acc m&t: 2.87 4.50, Remain: 17:35:29, Finish: 2024-11-24 11:52 [11-24 10:16:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.011), Acc m&t: 2.87 4.50, Remain: 17:34:37, Finish: 2024-11-24 11:51 [11-24 10:16:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.011), Acc m&t: 2.87 4.50, Remain: 17:34:57, Finish: 2024-11-24 11:51 [11-24 10:16:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:54 tlr: 7.8e-05 tnm: 0.48 Lm: 6.820 (6.820) Lt: 6.116 (6.116) Accm: 2.56 (2.56) Acct: 4.13 (4.13) proj_loss: -0.5882 (-0.5882) time: 0.3561 data: 0.0004 [11-24 10:16:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:56 tlr: 7.8e-05 tnm: 0.48 Lm: 6.758 (6.758) Lt: 6.057 (6.057) Accm: 2.78 (2.78) Acct: 4.29 (4.29) proj_loss: -0.5979 (-0.5979) time: 0.3571 data: 0.0004 [11-24 10:16:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:56 tlr: 7.8e-05 tnm: 0.48 Lm: 6.740 (6.740) Lt: 6.010 (6.010) Accm: 2.74 (2.74) Acct: 4.89 (4.89) proj_loss: -0.6204 (-0.6204) time: 0.3575 data: 0.0003 [11-24 10:16:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:56 tlr: 7.8e-05 tnm: 0.48 Lm: 6.597 (6.597) Lt: 5.869 (5.869) Accm: 3.25 (3.25) Acct: 4.96 (4.96) proj_loss: -0.6281 (-0.6281) time: 0.3575 data: 0.0003 [11-24 10:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 0.51 Lm: 6.726 (6.726) Lt: 5.998 (5.998) Accm: 2.87 (2.87) Acct: 4.42 (4.42) proj_loss: -0.6022 (-0.6022) time: 0.3663 data: 0.0003 [11-24 10:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 0.51 Lm: 6.717 (6.717) Lt: 6.002 (6.002) Accm: 2.79 (2.79) Acct: 4.30 (4.30) proj_loss: -0.5940 (-0.5940) time: 0.3663 data: 0.0003 [11-24 10:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 0.51 Lm: 6.694 (6.694) Lt: 5.991 (5.991) Accm: 2.88 (2.88) Acct: 4.76 (4.76) proj_loss: -0.6120 (-0.6120) time: 0.3663 data: 0.0002 [11-24 10:19:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 0.51 Lm: 6.745 (6.745) Lt: 6.028 (6.028) Accm: 2.78 (2.78) Acct: 4.31 (4.31) proj_loss: -0.5855 (-0.5855) time: 0.3663 data: 0.0003 [11-24 10:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:17 tlr: 7.8e-05 tnm: 0.52 Lm: 6.728 (6.739) Lt: 5.965 (6.007) Accm: 2.89 (2.81) Acct: 4.49 (4.49) proj_loss: -0.5882 (-0.5889) time: 0.3630 data: 0.0003 [11-24 10:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:17 tlr: 7.8e-05 tnm: 0.52 Lm: 6.693 (6.715) Lt: 5.973 (5.990) Accm: 3.05 (2.93) Acct: 4.91 (4.58) proj_loss: -0.5828 (-0.5957) time: 0.3630 data: 0.0003 [11-24 10:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:17 tlr: 7.8e-05 tnm: 0.52 Lm: 6.649 (6.640) Lt: 5.971 (5.928) Accm: 3.02 (3.01) Acct: 4.89 (4.85) proj_loss: -0.6049 (-0.6096) time: 0.3630 data: 0.0002 [11-24 10:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:17 tlr: 7.8e-05 tnm: 0.52 Lm: 6.676 (6.674) Lt: 5.948 (5.946) Accm: 2.80 (2.96) Acct: 4.32 (4.63) proj_loss: -0.5902 (-0.5927) time: 0.3630 data: 0.0003 [11-24 10:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:38 tlr: 7.8e-05 tnm: 0.50 Lm: 6.699 (6.686) Lt: 5.988 (5.967) Accm: 2.85 (2.95) Acct: 4.32 (4.55) proj_loss: -0.5940 (-0.5949) time: 0.3634 data: 0.0003 [11-24 10:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:38 tlr: 7.8e-05 tnm: 0.50 Lm: 6.698 (6.676) Lt: 5.953 (5.937) Accm: 2.94 (2.94) Acct: 4.67 (4.78) proj_loss: -0.5895 (-0.5894) time: 0.3634 data: 0.0003 [11-24 10:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:38 tlr: 7.8e-05 tnm: 0.50 Lm: 6.694 (6.683) Lt: 5.991 (5.965) Accm: 2.88 (2.91) Acct: 4.76 (4.68) proj_loss: -0.6043 (-0.6057) time: 0.3634 data: 0.0002 [11-24 10:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:38 tlr: 7.8e-05 tnm: 0.50 Lm: 6.645 (6.674) Lt: 5.921 (5.941) Accm: 3.15 (3.03) Acct: 4.93 (4.74) proj_loss: -0.5955 (-0.5988) time: 0.3634 data: 0.0003 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.50 Lm: 6.631 (6.665) Lt: 5.892 (5.931) Accm: 3.05 (2.99) Acct: 4.91 (4.71) proj_loss: -0.6052 (-0.6001) time: 0.3643 data: 0.0017 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:28 (0.376 s / it) [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.50 Lm: 6.721 (6.732) Lt: 6.029 (6.016) Accm: 2.80 (2.87) Acct: 4.32 (4.47) proj_loss: -0.5902 (-0.5922) time: 0.3643 data: 0.0019 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.50 Lm: 6.669 (6.667) Lt: 5.940 (5.918) Accm: 2.99 (3.01) Acct: 4.84 (4.89) proj_loss: -0.5907 (-0.5932) time: 0.3643 data: 0.0015 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.50 Lm: 6.736 (6.694) Lt: 6.005 (5.973) Accm: 2.80 (2.89) Acct: 4.63 (4.62) proj_loss: -0.6036 (-0.6013) time: 0.3643 data: 0.0019 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:28 (0.376 s / it) [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:28 (0.376 s / it) [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:28 (0.376 s / it) [11-24 10:27:15] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.700 (6.713), Lt: 5.991 (6.001), Acc m&t: 2.87 4.50, Remain: 17:30:19, Finish: 2024-11-24 11:57 [11-24 10:27:15] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.700 (6.713), Lt: 5.991 (6.001), Acc m&t: 2.87 4.50, Remain: 17:30:17, Finish: 2024-11-24 11:57 [11-24 10:27:15] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.700 (6.713), Lt: 5.991 (6.001), Acc m&t: 2.87 4.50, Remain: 17:30:38, Finish: 2024-11-24 11:57 [11-24 10:27:15] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.700 (6.713), Lt: 5.991 (6.001), Acc m&t: 2.87 4.50, Remain: 17:30:51, Finish: 2024-11-24 11:58 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:36 tlr: 7.8e-05 tnm: 0.49 Lm: 6.693 (6.693) Lt: 6.019 (6.019) Accm: 2.89 (2.89) Acct: 4.41 (4.41) proj_loss: -0.5924 (-0.5924) time: 0.3457 data: 0.0003 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:37 tlr: 7.8e-05 tnm: 0.49 Lm: 6.740 (6.740) Lt: 6.019 (6.019) Accm: 2.70 (2.70) Acct: 4.22 (4.22) proj_loss: -0.6045 (-0.6045) time: 0.3461 data: 0.0004 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:36 tlr: 7.8e-05 tnm: 0.49 Lm: 6.721 (6.721) Lt: 5.989 (5.989) Accm: 2.83 (2.83) Acct: 4.61 (4.61) proj_loss: -0.5928 (-0.5928) time: 0.3451 data: 0.0004 [11-24 10:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:38 tlr: 7.8e-05 tnm: 0.49 Lm: 6.556 (6.556) Lt: 5.825 (5.825) Accm: 3.32 (3.32) Acct: 5.04 (5.04) proj_loss: -0.5970 (-0.5970) time: 0.3465 data: 0.0004 [11-24 10:29:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:38 tlr: 7.7e-05 tnm: 0.50 Lm: 6.639 (6.639) Lt: 5.912 (5.912) Accm: 3.21 (3.21) Acct: 4.97 (4.97) proj_loss: -0.5963 (-0.5963) time: 0.3633 data: 0.0002 [11-24 10:29:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:38 tlr: 7.7e-05 tnm: 0.50 Lm: 6.681 (6.681) Lt: 5.979 (5.979) Accm: 2.85 (2.85) Acct: 4.35 (4.35) proj_loss: -0.5906 (-0.5906) time: 0.3633 data: 0.0003 [11-24 10:29:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:38 tlr: 7.7e-05 tnm: 0.50 Lm: 6.709 (6.709) Lt: 6.000 (6.000) Accm: 2.96 (2.96) Acct: 4.80 (4.80) proj_loss: -0.6046 (-0.6046) time: 0.3633 data: 0.0003 [11-24 10:29:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:38 tlr: 7.7e-05 tnm: 0.50 Lm: 6.699 (6.699) Lt: 5.966 (5.966) Accm: 2.82 (2.82) Acct: 4.30 (4.30) proj_loss: -0.6110 (-0.6110) time: 0.3633 data: 0.0003 [11-24 10:32:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:04 tlr: 7.7e-05 tnm: 0.48 Lm: 6.658 (6.682) Lt: 5.961 (5.964) Accm: 2.81 (2.82) Acct: 4.32 (4.31) proj_loss: -0.6045 (-0.6054) time: 0.3634 data: 0.0003 [11-24 10:32:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:04 tlr: 7.7e-05 tnm: 0.48 Lm: 6.647 (6.641) Lt: 5.887 (5.904) Accm: 3.10 (3.17) Acct: 4.98 (4.97) proj_loss: -0.5957 (-0.5958) time: 0.3634 data: 0.0002 [11-24 10:32:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:04 tlr: 7.7e-05 tnm: 0.48 Lm: 6.693 (6.705) Lt: 6.019 (6.008) Accm: 2.80 (2.79) Acct: 4.29 (4.28) proj_loss: -0.5924 (-0.5947) time: 0.3634 data: 0.0003 [11-24 10:32:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:04 tlr: 7.7e-05 tnm: 0.48 Lm: 6.698 (6.672) Lt: 5.989 (5.953) Accm: 3.09 (3.04) Acct: 4.96 (4.85) proj_loss: -0.6165 (-0.6090) time: 0.3634 data: 0.0003 [11-24 10:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.709 (6.694) Lt: 6.000 (5.984) Accm: 2.96 (2.96) Acct: 4.79 (4.72) proj_loss: -0.6171 (-0.6130) time: 0.3635 data: 0.0002 [11-24 10:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.608 (6.623) Lt: 5.899 (5.905) Accm: 3.12 (3.16) Acct: 4.98 (4.97) proj_loss: -0.5963 (-0.5982) time: 0.3635 data: 0.0003 [11-24 10:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.665 (6.679) Lt: 5.937 (5.943) Accm: 2.87 (2.90) Acct: 4.36 (4.50) proj_loss: -0.6037 (-0.6047) time: 0.3635 data: 0.0002 [11-24 10:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.681 (6.695) Lt: 6.001 (6.002) Accm: 2.85 (2.88) Acct: 4.35 (4.45) proj_loss: -0.5921 (-0.5940) time: 0.3635 data: 0.0003 [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.693 (6.732) Lt: 6.019 (6.045) Accm: 2.80 (2.77) Acct: 4.29 (4.29) proj_loss: -0.5917 (-0.5935) time: 0.3646 data: 0.0017 [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:07 (0.364 s / it) [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.721 (6.710) Lt: 6.011 (6.004) Accm: 2.83 (2.91) Acct: 4.61 (4.61) proj_loss: -0.6165 (-0.6093) time: 0.3646 data: 0.0015 [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.647 (6.662) Lt: 5.911 (5.951) Accm: 3.10 (3.12) Acct: 4.98 (4.89) proj_loss: -0.5957 (-0.5964) time: 0.3646 data: 0.0018 [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.671 (6.680) Lt: 5.961 (5.958) Accm: 2.88 (2.89) Acct: 4.39 (4.49) proj_loss: -0.6028 (-0.6031) time: 0.3646 data: 0.0016 [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:07 (0.364 s / it) [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:07 (0.364 s / it) [11-24 10:37:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:07 (0.364 s / it) [11-24 10:37:23] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.700 (6.710), Lt: 5.991 (6.003), Acc m&t: 2.87 4.50, Remain: 17:21:24, Finish: 2024-11-24 11:58 [11-24 10:37:23] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.700 (6.710), Lt: 5.991 (6.003), Acc m&t: 2.87 4.50, Remain: 17:21:24, Finish: 2024-11-24 11:58 [11-24 10:37:23] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.700 (6.710), Lt: 5.991 (6.003), Acc m&t: 2.87 4.50, Remain: 17:21:16, Finish: 2024-11-24 11:58 [11-24 10:37:23] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.700 (6.710), Lt: 5.991 (6.003), Acc m&t: 2.87 4.50, Remain: 17:21:20, Finish: 2024-11-24 11:58 [11-24 10:37:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:52 tlr: 7.7e-05 tnm: 0.50 Lm: 6.699 (6.699) Lt: 6.009 (6.009) Accm: 2.98 (2.98) Acct: 4.80 (4.80) proj_loss: -0.5992 (-0.5992) time: 0.3552 data: 0.0004 [11-24 10:37:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:54 tlr: 7.7e-05 tnm: 0.50 Lm: 6.771 (6.771) Lt: 6.071 (6.071) Accm: 2.52 (2.52) Acct: 4.12 (4.12) proj_loss: -0.5971 (-0.5971) time: 0.3559 data: 0.0004 [11-24 10:37:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:52 tlr: 7.7e-05 tnm: 0.50 Lm: 6.894 (6.894) Lt: 6.262 (6.262) Accm: 2.44 (2.44) Acct: 3.72 (3.72) proj_loss: -0.6003 (-0.6003) time: 0.3551 data: 0.0004 [11-24 10:37:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:53 tlr: 7.7e-05 tnm: 0.50 Lm: 6.758 (6.758) Lt: 6.085 (6.085) Accm: 2.61 (2.61) Acct: 3.96 (3.96) proj_loss: -0.6109 (-0.6109) time: 0.3555 data: 0.0004 [11-24 10:39:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.703 (6.703) Lt: 6.027 (6.027) Accm: 2.62 (2.62) Acct: 3.98 (3.98) proj_loss: -0.6044 (-0.6044) time: 0.3633 data: 0.0003 [11-24 10:39:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.684 (6.684) Lt: 5.970 (5.970) Accm: 3.05 (3.05) Acct: 4.87 (4.87) proj_loss: -0.6026 (-0.6026) time: 0.3633 data: 0.0002 [11-24 10:39:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.903 (6.903) Lt: 6.234 (6.234) Accm: 2.41 (2.41) Acct: 3.72 (3.72) proj_loss: -0.5980 (-0.5980) time: 0.3633 data: 0.0003 [11-24 10:39:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:32 tlr: 7.7e-05 tnm: 0.50 Lm: 6.677 (6.677) Lt: 5.969 (5.969) Accm: 3.00 (3.00) Acct: 4.84 (4.84) proj_loss: -0.5951 (-0.5951) time: 0.3633 data: 0.0003 [11-24 10:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:02 tlr: 7.6e-05 tnm: 0.50 Lm: 6.733 (6.696) Lt: 6.043 (5.994) Accm: 2.70 (2.90) Acct: 4.12 (4.52) proj_loss: -0.5971 (-0.5983) time: 0.3648 data: 0.0003 [11-24 10:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:02 tlr: 7.6e-05 tnm: 0.50 Lm: 6.699 (6.704) Lt: 6.009 (5.985) Accm: 2.98 (2.99) Acct: 4.87 (4.87) proj_loss: -0.6043 (-0.6032) time: 0.3647 data: 0.0002 [11-24 10:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:02 tlr: 7.6e-05 tnm: 0.50 Lm: 6.894 (6.842) Lt: 6.206 (6.161) Accm: 2.44 (2.57) Acct: 3.72 (3.90) proj_loss: -0.6003 (-0.6018) time: 0.3648 data: 0.0003 [11-24 10:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:02 tlr: 7.6e-05 tnm: 0.50 Lm: 6.693 (6.700) Lt: 5.973 (6.009) Accm: 2.62 (2.63) Acct: 3.99 (4.08) proj_loss: -0.6067 (-0.6052) time: 0.3647 data: 0.0003 [11-24 10:44:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:31 tlr: 7.6e-05 tnm: 0.49 Lm: 6.692 (6.698) Lt: 5.988 (6.008) Accm: 2.64 (2.71) Acct: 4.14 (4.20) proj_loss: -0.6024 (-0.6033) time: 0.3609 data: 0.0003 [11-24 10:44:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:31 tlr: 7.6e-05 tnm: 0.49 Lm: 6.693 (6.685) Lt: 5.977 (5.973) Accm: 2.71 (2.86) Acct: 4.34 (4.53) proj_loss: -0.6008 (-0.6012) time: 0.3609 data: 0.0003 [11-24 10:44:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:31 tlr: 7.6e-05 tnm: 0.49 Lm: 6.721 (6.719) Lt: 6.012 (5.997) Accm: 2.93 (2.94) Acct: 4.84 (4.77) proj_loss: -0.6017 (-0.6018) time: 0.3609 data: 0.0003 [11-24 10:44:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:31 tlr: 7.6e-05 tnm: 0.49 Lm: 6.807 (6.792) Lt: 6.110 (6.090) Accm: 2.66 (2.71) Acct: 3.99 (4.13) proj_loss: -0.5980 (-0.5992) time: 0.3609 data: 0.0003 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.795 (6.793) Lt: 6.061 (6.084) Accm: 2.63 (2.69) Acct: 4.25 (4.19) proj_loss: -0.5976 (-0.5989) time: 0.4096 data: 0.0016 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:11 (0.366 s / it) [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.733 (6.699) Lt: 6.043 (5.990) Accm: 2.71 (2.83) Acct: 4.15 (4.45) proj_loss: -0.5971 (-0.5983) time: 0.4096 data: 0.0021 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.691 (6.682) Lt: 5.973 (5.986) Accm: 2.67 (2.78) Acct: 4.29 (4.29) proj_loss: -0.6067 (-0.6045) time: 0.4096 data: 0.0015 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.710 (6.717) Lt: 6.015 (6.005) Accm: 2.88 (2.91) Acct: 4.80 (4.66) proj_loss: -0.6043 (-0.6032) time: 0.4096 data: 0.0019 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:11 (0.366 s / it) [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:11 (0.366 s / it) [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:11 (0.366 s / it) [11-24 10:47:34] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.700 (6.725), Lt: 5.991 (6.020), Acc m&t: 2.87 4.50, Remain: 17:14:54, Finish: 2024-11-24 12:02 [11-24 10:47:34] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.700 (6.725), Lt: 5.991 (6.020), Acc m&t: 2.87 4.50, Remain: 17:14:37, Finish: 2024-11-24 12:02 [11-24 10:47:34] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.700 (6.725), Lt: 5.991 (6.020), Acc m&t: 2.87 4.50, Remain: 17:14:52, Finish: 2024-11-24 12:02 [11-24 10:47:34] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.700 (6.725), Lt: 5.991 (6.020), Acc m&t: 2.87 4.50, Remain: 17:14:37, Finish: 2024-11-24 12:02 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:59 tlr: 7.6e-05 tnm: 0.50 Lm: 6.571 (6.571) Lt: 5.805 (5.805) Accm: 3.20 (3.20) Acct: 4.82 (4.82) proj_loss: -0.6091 (-0.6091) time: 0.3590 data: 0.0004 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:59 tlr: 7.6e-05 tnm: 0.50 Lm: 6.689 (6.689) Lt: 5.917 (5.917) Accm: 2.85 (2.85) Acct: 4.48 (4.48) proj_loss: -0.5837 (-0.5837) time: 0.3592 data: 0.0004 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:59 tlr: 7.6e-05 tnm: 0.50 Lm: 6.785 (6.785) Lt: 6.109 (6.109) Accm: 2.75 (2.75) Acct: 4.34 (4.34) proj_loss: -0.5948 (-0.5948) time: 0.3593 data: 0.0004 [11-24 10:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:59 tlr: 7.6e-05 tnm: 0.50 Lm: 6.795 (6.795) Lt: 6.096 (6.096) Accm: 2.63 (2.63) Acct: 4.03 (4.03) proj_loss: -0.5913 (-0.5913) time: 0.3590 data: 0.0004 [11-24 10:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:48 tlr: 7.6e-05 tnm: 0.53 Lm: 6.706 (6.706) Lt: 5.997 (5.997) Accm: 2.75 (2.75) Acct: 4.29 (4.29) proj_loss: -0.5931 (-0.5931) time: 0.3596 data: 0.0003 [11-24 10:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:48 tlr: 7.6e-05 tnm: 0.53 Lm: 6.670 (6.670) Lt: 5.947 (5.947) Accm: 2.78 (2.78) Acct: 4.28 (4.28) proj_loss: -0.6203 (-0.6203) time: 0.3596 data: 0.0003 [11-24 10:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:48 tlr: 7.6e-05 tnm: 0.53 Lm: 6.689 (6.689) Lt: 5.975 (5.975) Accm: 2.90 (2.90) Acct: 4.34 (4.34) proj_loss: -0.6010 (-0.6010) time: 0.3596 data: 0.0002 [11-24 10:50:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:48 tlr: 7.6e-05 tnm: 0.53 Lm: 6.750 (6.750) Lt: 6.052 (6.052) Accm: 2.78 (2.78) Acct: 4.36 (4.36) proj_loss: -0.5851 (-0.5851) time: 0.3596 data: 0.0003 [11-24 10:52:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:11 tlr: 7.6e-05 tnm: 0.51 Lm: 6.714 (6.720) Lt: 5.996 (6.002) Accm: 2.82 (2.88) Acct: 4.39 (4.57) proj_loss: -0.5857 (-0.5853) time: 0.3618 data: 0.0003 [11-24 10:52:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:11 tlr: 7.6e-05 tnm: 0.51 Lm: 6.689 (6.676) Lt: 5.902 (5.932) Accm: 2.90 (2.82) Acct: 4.82 (4.48) proj_loss: -0.6091 (-0.6123) time: 0.3618 data: 0.0003 [11-24 10:52:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:11 tlr: 7.6e-05 tnm: 0.51 Lm: 6.617 (6.647) Lt: 5.898 (5.927) Accm: 2.86 (2.90) Acct: 4.55 (4.47) proj_loss: -0.5949 (-0.6044) time: 0.3618 data: 0.0003 [11-24 10:52:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:11 tlr: 7.6e-05 tnm: 0.51 Lm: 6.690 (6.693) Lt: 6.024 (5.991) Accm: 2.85 (2.79) Acct: 4.20 (4.23) proj_loss: -0.5964 (-0.5995) time: 0.3618 data: 0.0003 [11-24 10:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.49 Lm: 6.682 (6.676) Lt: 5.936 (5.941) Accm: 2.92 (2.85) Acct: 4.62 (4.47) proj_loss: -0.6116 (-0.6128) time: 0.3661 data: 0.0003 [11-24 10:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.49 Lm: 6.682 (6.672) Lt: 5.992 (5.967) Accm: 2.77 (2.85) Acct: 4.29 (4.32) proj_loss: -0.6077 (-0.6084) time: 0.3661 data: 0.0002 [11-24 10:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.49 Lm: 6.750 (6.756) Lt: 6.052 (6.044) Accm: 2.78 (2.75) Acct: 4.36 (4.33) proj_loss: -0.5903 (-0.5903) time: 0.3661 data: 0.0003 [11-24 10:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.49 Lm: 6.696 (6.714) Lt: 6.029 (6.003) Accm: 2.80 (2.78) Acct: 4.34 (4.32) proj_loss: -0.6025 (-0.6018) time: 0.3661 data: 0.0002 [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.690 (6.696) Lt: 6.024 (5.984) Accm: 2.85 (2.83) Acct: 4.48 (4.41) proj_loss: -0.5964 (-0.6004) time: 0.3638 data: 0.0016 [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:24 (0.374 s / it) [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.674 (6.630) Lt: 5.902 (5.898) Accm: 2.95 (3.00) Acct: 4.82 (4.68) proj_loss: -0.6109 (-0.6124) time: 0.3638 data: 0.0017 [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.747 (6.699) Lt: 6.086 (5.999) Accm: 2.68 (2.78) Acct: 4.03 (4.21) proj_loss: -0.5949 (-0.6038) time: 0.3638 data: 0.0019 [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.731 (6.751) Lt: 5.996 (6.027) Accm: 2.77 (2.76) Acct: 4.39 (4.35) proj_loss: -0.5857 (-0.5888) time: 0.3638 data: 0.0018 [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:24 (0.374 s / it) [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:24 (0.374 s / it) [11-24 10:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:24 (0.374 s / it) [11-24 11:00:16] (home/user/VAR/trainer.py, line 114)=> FID: 3.9547311978819835 [11-24 11:00:16] (/home/user/VAR/train.py , line 259)=> [*] [ep249] (val 50000) Lm: 6.7083, Lt: 5.9958, Acc m&t: 2.83 4.44, Val cost: 137.41s [11-24 11:00:16] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 11:00:30] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.700 (6.708), Lt: 5.991 (5.996), Acc m&t: 2.87 4.50, Remain: 16:55:04, Finish: 2024-11-24 11:53 [11-24 11:00:30] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.700 (6.708), Lt: 5.991 (5.996), Acc m&t: 2.87 4.50, Remain: 16:54:00, Finish: 2024-11-24 11:51 [11-24 11:00:30] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.700 (6.708), Lt: 5.991 (5.996), Acc m&t: 2.87 4.50, Remain: 16:54:57, Finish: 2024-11-24 11:52 [11-24 11:00:30] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.700 (6.708), Lt: 5.991 (5.996), Acc m&t: 2.87 4.50, Remain: 16:55:12, Finish: 2024-11-24 11:53 [11-24 11:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:10:10 tlr: 7.5e-05 tnm: 0.51 Lm: 6.706 (6.706) Lt: 6.014 (6.014) Accm: 2.91 (2.91) Acct: 4.36 (4.36) proj_loss: -0.6065 (-0.6065) time: 0.3658 data: 0.0004 [11-24 11:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:10:11 tlr: 7.5e-05 tnm: 0.51 Lm: 6.809 (6.809) Lt: 6.123 (6.123) Accm: 2.44 (2.44) Acct: 3.86 (3.86) proj_loss: -0.6059 (-0.6059) time: 0.3665 data: 0.0003 [11-24 11:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:10:02 tlr: 7.5e-05 tnm: 0.51 Lm: 6.889 (6.889) Lt: 6.243 (6.243) Accm: 2.29 (2.29) Acct: 3.55 (3.55) proj_loss: -0.6036 (-0.6036) time: 0.3613 data: 0.0004 [11-24 11:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:10:01 tlr: 7.5e-05 tnm: 0.51 Lm: 6.911 (6.911) Lt: 6.229 (6.229) Accm: 2.41 (2.41) Acct: 3.68 (3.68) proj_loss: -0.6042 (-0.6042) time: 0.3606 data: 0.0004 [11-24 11:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:37 tlr: 7.5e-05 tnm: 0.50 Lm: 6.836 (6.836) Lt: 6.128 (6.128) Accm: 2.49 (2.49) Acct: 3.82 (3.82) proj_loss: -0.5908 (-0.5908) time: 0.3619 data: 0.0003 [11-24 11:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:37 tlr: 7.5e-05 tnm: 0.50 Lm: 6.648 (6.648) Lt: 5.939 (5.939) Accm: 2.97 (2.97) Acct: 4.59 (4.59) proj_loss: -0.5902 (-0.5902) time: 0.3619 data: 0.0003 [11-24 11:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:37 tlr: 7.5e-05 tnm: 0.50 Lm: 6.889 (6.889) Lt: 6.227 (6.227) Accm: 2.29 (2.29) Acct: 3.60 (3.60) proj_loss: -0.5969 (-0.5969) time: 0.3619 data: 0.0003 [11-24 11:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:37 tlr: 7.5e-05 tnm: 0.50 Lm: 6.711 (6.711) Lt: 6.037 (6.037) Accm: 2.74 (2.74) Acct: 4.27 (4.27) proj_loss: -0.6028 (-0.6028) time: 0.3619 data: 0.0003 [11-24 11:05:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:03 tlr: 7.5e-05 tnm: 0.51 Lm: 6.651 (6.691) Lt: 5.951 (5.997) Accm: 3.04 (2.85) Acct: 4.68 (4.51) proj_loss: -0.5997 (-0.5978) time: 0.3613 data: 0.0003 [11-24 11:05:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:03 tlr: 7.5e-05 tnm: 0.51 Lm: 6.889 (6.832) Lt: 6.211 (6.140) Accm: 2.30 (2.47) Acct: 3.65 (3.93) proj_loss: -0.5902 (-0.5943) time: 0.3613 data: 0.0003 [11-24 11:05:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:03 tlr: 7.5e-05 tnm: 0.51 Lm: 6.706 (6.672) Lt: 6.014 (5.967) Accm: 2.91 (2.88) Acct: 4.36 (4.48) proj_loss: -0.6065 (-0.5969) time: 0.3613 data: 0.0003 [11-24 11:05:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:03 tlr: 7.5e-05 tnm: 0.51 Lm: 6.797 (6.823) Lt: 6.081 (6.112) Accm: 2.57 (2.58) Acct: 3.96 (4.00) proj_loss: -0.5974 (-0.5930) time: 0.3614 data: 0.0003 [11-24 11:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.50 Lm: 6.779 (6.797) Lt: 6.053 (6.088) Accm: 2.66 (2.64) Acct: 4.16 (4.10) proj_loss: -0.5898 (-0.5903) time: 0.3632 data: 0.0003 [11-24 11:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.50 Lm: 6.804 (6.786) Lt: 6.088 (6.079) Accm: 2.56 (2.59) Acct: 4.08 (4.08) proj_loss: -0.5969 (-0.5974) time: 0.3632 data: 0.0002 [11-24 11:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.50 Lm: 6.714 (6.691) Lt: 6.018 (5.989) Accm: 2.81 (2.84) Acct: 4.36 (4.45) proj_loss: -0.5907 (-0.5913) time: 0.3632 data: 0.0002 [11-24 11:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.50 Lm: 6.694 (6.703) Lt: 5.998 (6.009) Accm: 2.87 (2.82) Acct: 4.33 (4.37) proj_loss: -0.6028 (-0.6007) time: 0.3632 data: 0.0003 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.684 (6.699) Lt: 5.964 (6.000) Accm: 2.75 (2.80) Acct: 4.44 (4.39) proj_loss: -0.5997 (-0.5992) time: 0.3669 data: 0.0018 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:06 (0.363 s / it) [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.706 (6.685) Lt: 6.014 (5.981) Accm: 2.75 (2.82) Acct: 4.36 (4.38) proj_loss: -0.6065 (-0.5963) time: 0.3669 data: 0.0018 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.761 (6.779) Lt: 6.026 (6.069) Accm: 2.75 (2.69) Acct: 4.36 (4.24) proj_loss: -0.5974 (-0.5933) time: 0.3669 data: 0.0015 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.751 (6.779) Lt: 6.077 (6.079) Accm: 2.78 (2.63) Acct: 4.51 (4.16) proj_loss: -0.6036 (-0.6007) time: 0.3669 data: 0.0021 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:06 (0.363 s / it) [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:06 (0.363 s / it) [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:06 (0.363 s / it) [11-24 11:10:37] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 16:53:59, Finish: 2024-11-24 12:04 [11-24 11:10:37] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 16:53:20, Finish: 2024-11-24 12:03 [11-24 11:10:37] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 16:52:54, Finish: 2024-11-24 12:03 [11-24 11:10:37] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.700 (6.717), Lt: 5.991 (6.014), Acc m&t: 2.87 4.50, Remain: 16:52:48, Finish: 2024-11-24 12:03 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:09:32 tlr: 7.5e-05 tnm: 0.51 Lm: 6.771 (6.771) Lt: 6.097 (6.097) Accm: 2.70 (2.70) Acct: 4.27 (4.27) proj_loss: -0.6248 (-0.6248) time: 0.3431 data: 0.0005 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:10:17 tlr: 7.5e-05 tnm: 0.51 Lm: 6.470 (6.470) Lt: 5.779 (5.779) Accm: 3.10 (3.10) Acct: 4.67 (4.67) proj_loss: -0.6070 (-0.6070) time: 0.3699 data: 0.0004 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:09:42 tlr: 7.5e-05 tnm: 0.51 Lm: 6.606 (6.606) Lt: 5.910 (5.910) Accm: 3.28 (3.28) Acct: 4.80 (4.80) proj_loss: -0.5996 (-0.5996) time: 0.3492 data: 0.0003 [11-24 11:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:09:43 tlr: 7.5e-05 tnm: 0.51 Lm: 6.859 (6.859) Lt: 6.138 (6.138) Accm: 2.75 (2.75) Acct: 4.32 (4.32) proj_loss: -0.5731 (-0.5731) time: 0.3494 data: 0.0004 [11-24 11:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:34 tlr: 7.4e-05 tnm: 0.51 Lm: 6.793 (6.793) Lt: 6.091 (6.091) Accm: 2.78 (2.78) Acct: 4.31 (4.31) proj_loss: -0.5960 (-0.5960) time: 0.3609 data: 0.0003 [11-24 11:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:34 tlr: 7.4e-05 tnm: 0.51 Lm: 6.641 (6.641) Lt: 5.973 (5.973) Accm: 2.68 (2.68) Acct: 4.08 (4.08) proj_loss: -0.6048 (-0.6048) time: 0.3610 data: 0.0003 [11-24 11:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:34 tlr: 7.4e-05 tnm: 0.51 Lm: 6.674 (6.674) Lt: 5.995 (5.995) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.6187 (-0.6187) time: 0.3609 data: 0.0003 [11-24 11:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:34 tlr: 7.4e-05 tnm: 0.51 Lm: 6.658 (6.658) Lt: 5.954 (5.954) Accm: 3.07 (3.07) Acct: 4.55 (4.55) proj_loss: -0.6032 (-0.6032) time: 0.3610 data: 0.0003 [11-24 11:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:03 tlr: 7.4e-05 tnm: 0.48 Lm: 6.711 (6.689) Lt: 5.998 (5.987) Accm: 2.86 (2.98) Acct: 4.29 (4.43) proj_loss: -0.5996 (-0.5982) time: 0.3641 data: 0.0005 [11-24 11:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:03 tlr: 7.4e-05 tnm: 0.48 Lm: 6.769 (6.785) Lt: 6.054 (6.079) Accm: 2.82 (2.80) Acct: 4.30 (4.31) proj_loss: -0.5921 (-0.5947) time: 0.3641 data: 0.0003 [11-24 11:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:03 tlr: 7.4e-05 tnm: 0.48 Lm: 6.470 (6.544) Lt: 5.779 (5.829) Accm: 3.10 (3.03) Acct: 4.67 (4.72) proj_loss: -0.6027 (-0.6041) time: 0.3641 data: 0.0003 [11-24 11:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:03 tlr: 7.4e-05 tnm: 0.48 Lm: 6.577 (6.619) Lt: 5.893 (5.929) Accm: 3.38 (3.18) Acct: 5.32 (5.05) proj_loss: -0.6248 (-0.6222) time: 0.3641 data: 0.0003 [11-24 11:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.748 (6.737) Lt: 6.049 (6.010) Accm: 2.83 (2.89) Acct: 4.31 (4.39) proj_loss: -0.5903 (-0.5931) time: 0.4086 data: 0.0003 [11-24 11:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.730 (6.704) Lt: 6.020 (6.001) Accm: 2.83 (2.87) Acct: 4.24 (4.35) proj_loss: -0.5942 (-0.5959) time: 0.4086 data: 0.0003 [11-24 11:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.545 (6.564) Lt: 5.832 (5.843) Accm: 3.07 (3.03) Acct: 4.70 (4.72) proj_loss: -0.6049 (-0.6058) time: 0.4086 data: 0.0003 [11-24 11:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.674 (6.674) Lt: 5.995 (5.980) Accm: 3.04 (2.99) Acct: 4.80 (4.72) proj_loss: -0.6187 (-0.6157) time: 0.4086 data: 0.0003 [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.745 (6.688) Lt: 6.055 (5.995) Accm: 3.09 (3.01) Acct: 4.70 (4.71) proj_loss: -0.6126 (-0.6131) time: 0.3653 data: 0.0015 [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.621 (6.585) Lt: 5.885 (5.866) Accm: 3.10 (3.06) Acct: 4.73 (4.78) proj_loss: -0.6070 (-0.6063) time: 0.3653 data: 0.0017 [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:12 (0.367 s / it) [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.726 (6.707) Lt: 6.044 (5.972) Accm: 2.84 (2.93) Acct: 4.32 (4.44) proj_loss: -0.5921 (-0.5937) time: 0.3653 data: 0.0017 [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.711 (6.696) Lt: 5.998 (5.988) Accm: 2.86 (2.90) Acct: 4.29 (4.45) proj_loss: -0.5996 (-0.5980) time: 0.3653 data: 0.0018 [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:12 (0.367 s / it) [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:12 (0.367 s / it) [11-24 11:20:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:12 (0.367 s / it) [11-24 11:20:49] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.692 (6.692), Lt: 5.981 (5.981), Acc m&t: 2.90 4.52, Remain: 16:38:07, Finish: 2024-11-24 11:58 [11-24 11:20:49] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.692 (6.692), Lt: 5.981 (5.981), Acc m&t: 2.90 4.52, Remain: 16:38:16, Finish: 2024-11-24 11:59 [11-24 11:20:49] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.692 (6.692), Lt: 5.981 (5.981), Acc m&t: 2.90 4.52, Remain: 16:38:18, Finish: 2024-11-24 11:59 [11-24 11:20:49] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.692 (6.692), Lt: 5.981 (5.981), Acc m&t: 2.90 4.52, Remain: 16:38:24, Finish: 2024-11-24 11:59 [11-24 11:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:52 tlr: 7.4e-05 tnm: 0.48 Lm: 6.892 (6.892) Lt: 6.213 (6.213) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: -0.6158 (-0.6158) time: 0.3553 data: 0.0004 [11-24 11:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:54 tlr: 7.4e-05 tnm: 0.48 Lm: 6.794 (6.794) Lt: 6.073 (6.073) Accm: 2.59 (2.59) Acct: 4.70 (4.70) proj_loss: -0.5639 (-0.5639) time: 0.3563 data: 0.0004 [11-24 11:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:55 tlr: 7.4e-05 tnm: 0.48 Lm: 6.813 (6.813) Lt: 6.165 (6.165) Accm: 2.59 (2.59) Acct: 3.94 (3.94) proj_loss: -0.6107 (-0.6107) time: 0.3568 data: 0.0004 [11-24 11:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:55 tlr: 7.4e-05 tnm: 0.48 Lm: 6.760 (6.760) Lt: 6.057 (6.057) Accm: 2.72 (2.72) Acct: 4.12 (4.12) proj_loss: -0.5859 (-0.5859) time: 0.3566 data: 0.0004 [11-24 11:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:55 tlr: 7.4e-05 tnm: 0.52 Lm: 6.717 (6.717) Lt: 6.029 (6.029) Accm: 2.70 (2.70) Acct: 4.11 (4.11) proj_loss: -0.5913 (-0.5913) time: 0.3651 data: 0.0003 [11-24 11:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:55 tlr: 7.4e-05 tnm: 0.52 Lm: 6.709 (6.709) Lt: 6.003 (6.003) Accm: 3.08 (3.08) Acct: 4.87 (4.87) proj_loss: -0.6145 (-0.6145) time: 0.3651 data: 0.0003 [11-24 11:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:55 tlr: 7.4e-05 tnm: 0.52 Lm: 6.717 (6.717) Lt: 6.015 (6.015) Accm: 2.76 (2.76) Acct: 4.41 (4.41) proj_loss: -0.6029 (-0.6029) time: 0.3651 data: 0.0003 [11-24 11:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:55 tlr: 7.4e-05 tnm: 0.52 Lm: 6.735 (6.735) Lt: 6.007 (6.007) Accm: 2.79 (2.79) Acct: 4.75 (4.75) proj_loss: -0.5827 (-0.5827) time: 0.3651 data: 0.0003 [11-24 11:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:15 tlr: 7.3e-05 tnm: 0.50 Lm: 6.714 (6.728) Lt: 6.020 (6.011) Accm: 2.99 (2.89) Acct: 4.77 (4.76) proj_loss: -0.6015 (-0.5905) time: 0.4094 data: 0.0003 [11-24 11:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:15 tlr: 7.3e-05 tnm: 0.50 Lm: 6.711 (6.715) Lt: 6.013 (6.014) Accm: 2.94 (2.87) Acct: 4.82 (4.55) proj_loss: -0.5952 (-0.5993) time: 0.4093 data: 0.0003 [11-24 11:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:15 tlr: 7.3e-05 tnm: 0.50 Lm: 6.753 (6.729) Lt: 6.057 (6.067) Accm: 2.72 (2.76) Acct: 4.12 (4.14) proj_loss: -0.5968 (-0.5952) time: 0.4094 data: 0.0003 [11-24 11:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:15 tlr: 7.3e-05 tnm: 0.50 Lm: 6.837 (6.751) Lt: 6.186 (6.064) Accm: 2.67 (2.92) Acct: 4.29 (4.68) proj_loss: -0.6132 (-0.6126) time: 0.4094 data: 0.0003 [11-24 11:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.51 Lm: 6.721 (6.715) Lt: 6.043 (6.023) Accm: 2.87 (2.96) Acct: 4.46 (4.67) proj_loss: -0.6110 (-0.6083) time: 0.3630 data: 0.0003 [11-24 11:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.51 Lm: 6.666 (6.689) Lt: 5.941 (5.978) Accm: 2.97 (2.91) Acct: 4.64 (4.52) proj_loss: -0.5954 (-0.5984) time: 0.3630 data: 0.0003 [11-24 11:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.51 Lm: 6.713 (6.707) Lt: 6.029 (6.032) Accm: 2.80 (2.81) Acct: 4.17 (4.31) proj_loss: -0.5999 (-0.6010) time: 0.3630 data: 0.0003 [11-24 11:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.51 Lm: 6.754 (6.772) Lt: 6.046 (6.075) Accm: 2.79 (2.75) Acct: 4.73 (4.50) proj_loss: -0.6011 (-0.5931) time: 0.3630 data: 0.0003 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.51 Lm: 6.714 (6.752) Lt: 6.020 (6.056) Accm: 2.99 (2.81) Acct: 4.77 (4.58) proj_loss: -0.6007 (-0.5942) time: 0.3629 data: 0.0021 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:25 (0.375 s / it) [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.51 Lm: 6.725 (6.717) Lt: 5.998 (6.018) Accm: 2.89 (2.94) Acct: 4.56 (4.65) proj_loss: -0.6088 (-0.6084) time: 0.3628 data: 0.0015 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.51 Lm: 6.753 (6.732) Lt: 6.057 (6.059) Accm: 2.72 (2.72) Acct: 4.12 (4.17) proj_loss: -0.6029 (-0.6045) time: 0.3628 data: 0.0016 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.51 Lm: 6.711 (6.697) Lt: 6.013 (5.991) Accm: 2.94 (2.85) Acct: 4.46 (4.49) proj_loss: -0.5957 (-0.5980) time: 0.3628 data: 0.0020 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:25 (0.375 s / it) [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:25 (0.375 s / it) [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:25 (0.375 s / it) [11-24 11:31:15] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.692 (6.712), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:26:12, Finish: 2024-11-24 11:57 [11-24 11:31:15] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.692 (6.712), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:26:26, Finish: 2024-11-24 11:57 [11-24 11:31:15] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.692 (6.712), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:25:51, Finish: 2024-11-24 11:57 [11-24 11:31:15] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.692 (6.712), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:26:46, Finish: 2024-11-24 11:58 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:56 tlr: 7.3e-05 tnm: 0.54 Lm: 6.670 (6.670) Lt: 5.973 (5.973) Accm: 3.01 (3.01) Acct: 4.53 (4.53) proj_loss: -0.6113 (-0.6113) time: 0.3576 data: 0.0004 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:56 tlr: 7.3e-05 tnm: 0.54 Lm: 6.563 (6.563) Lt: 5.872 (5.872) Accm: 3.45 (3.45) Acct: 5.11 (5.11) proj_loss: -0.6215 (-0.6215) time: 0.3572 data: 0.0004 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:57 tlr: 7.3e-05 tnm: 0.54 Lm: 6.687 (6.687) Lt: 5.973 (5.973) Accm: 2.72 (2.72) Acct: 4.39 (4.39) proj_loss: -0.6020 (-0.6020) time: 0.3579 data: 0.0003 [11-24 11:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:55 tlr: 7.3e-05 tnm: 0.54 Lm: 6.781 (6.781) Lt: 6.088 (6.088) Accm: 2.80 (2.80) Acct: 4.42 (4.42) proj_loss: -0.5949 (-0.5949) time: 0.3570 data: 0.0004 [11-24 11:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:38 tlr: 7.3e-05 tnm: 0.51 Lm: 6.785 (6.785) Lt: 6.105 (6.105) Accm: 2.74 (2.74) Acct: 4.29 (4.29) proj_loss: -0.6094 (-0.6094) time: 0.3635 data: 0.0003 [11-24 11:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:38 tlr: 7.3e-05 tnm: 0.51 Lm: 6.621 (6.621) Lt: 5.894 (5.894) Accm: 3.16 (3.16) Acct: 4.73 (4.73) proj_loss: -0.6210 (-0.6210) time: 0.3635 data: 0.0003 [11-24 11:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:38 tlr: 7.3e-05 tnm: 0.51 Lm: 6.648 (6.648) Lt: 5.928 (5.928) Accm: 2.86 (2.86) Acct: 4.49 (4.49) proj_loss: -0.6046 (-0.6046) time: 0.3635 data: 0.0003 [11-24 11:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:38 tlr: 7.3e-05 tnm: 0.51 Lm: 6.742 (6.742) Lt: 6.038 (6.038) Accm: 2.87 (2.87) Acct: 4.37 (4.37) proj_loss: -0.6041 (-0.6041) time: 0.3635 data: 0.0003 [11-24 11:36:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:04 tlr: 7.3e-05 tnm: 0.49 Lm: 6.814 (6.793) Lt: 6.103 (6.077) Accm: 2.72 (2.70) Acct: 4.22 (4.13) proj_loss: -0.5969 (-0.5901) time: 0.3645 data: 0.0003 [11-24 11:36:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:04 tlr: 7.3e-05 tnm: 0.49 Lm: 6.653 (6.632) Lt: 5.916 (5.909) Accm: 2.91 (3.08) Acct: 4.48 (4.64) proj_loss: -0.6215 (-0.6214) time: 0.3645 data: 0.0002 [11-24 11:36:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:04 tlr: 7.3e-05 tnm: 0.49 Lm: 6.781 (6.745) Lt: 6.088 (6.043) Accm: 2.80 (2.80) Acct: 4.42 (4.44) proj_loss: -0.5949 (-0.6040) time: 0.3645 data: 0.0003 [11-24 11:36:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:04 tlr: 7.3e-05 tnm: 0.49 Lm: 6.687 (6.718) Lt: 5.973 (6.012) Accm: 2.72 (2.64) Acct: 4.39 (4.13) proj_loss: -0.6072 (-0.6066) time: 0.3645 data: 0.0003 [11-24 11:38:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:32 tlr: 7.3e-05 tnm: 0.50 Lm: 6.681 (6.707) Lt: 5.945 (5.988) Accm: 2.86 (2.76) Acct: 4.49 (4.42) proj_loss: -0.6067 (-0.6065) time: 0.3645 data: 0.0003 [11-24 11:38:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:32 tlr: 7.3e-05 tnm: 0.50 Lm: 6.742 (6.761) Lt: 6.047 (6.055) Accm: 2.72 (2.70) Acct: 4.35 (4.21) proj_loss: -0.5941 (-0.5904) time: 0.3645 data: 0.0003 [11-24 11:38:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:32 tlr: 7.3e-05 tnm: 0.50 Lm: 6.619 (6.620) Lt: 5.894 (5.898) Accm: 2.98 (3.07) Acct: 4.58 (4.65) proj_loss: -0.6210 (-0.6090) time: 0.3645 data: 0.0002 [11-24 11:38:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:32 tlr: 7.3e-05 tnm: 0.50 Lm: 6.777 (6.752) Lt: 6.072 (6.046) Accm: 2.75 (2.78) Acct: 4.35 (4.39) proj_loss: -0.5949 (-0.6017) time: 0.3645 data: 0.0003 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.53 Lm: 6.773 (6.735) Lt: 6.056 (6.025) Accm: 2.80 (2.82) Acct: 4.42 (4.46) proj_loss: -0.5948 (-0.5991) time: 0.3632 data: 0.0015 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:08 (0.364 s / it) [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.53 Lm: 6.675 (6.680) Lt: 5.916 (5.963) Accm: 3.00 (2.82) Acct: 4.49 (4.43) proj_loss: -0.6062 (-0.6039) time: 0.3632 data: 0.0017 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.53 Lm: 6.784 (6.766) Lt: 6.103 (6.066) Accm: 2.72 (2.73) Acct: 4.30 (4.23) proj_loss: -0.5969 (-0.5963) time: 0.3632 data: 0.0020 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.53 Lm: 6.653 (6.651) Lt: 5.916 (5.928) Accm: 2.91 (2.98) Acct: 4.55 (4.63) proj_loss: -0.6204 (-0.6036) time: 0.3632 data: 0.0017 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:08 (0.364 s / it) [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:08 (0.364 s / it) [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:08 (0.364 s / it) [11-24 11:41:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.692 (6.711), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:18:13, Finish: 2024-11-24 11:59 [11-24 11:41:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.692 (6.711), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:18:09, Finish: 2024-11-24 11:59 [11-24 11:41:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.692 (6.711), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:18:04, Finish: 2024-11-24 11:59 [11-24 11:41:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.692 (6.711), Lt: 5.981 (6.003), Acc m&t: 2.90 4.52, Remain: 16:18:13, Finish: 2024-11-24 11:59 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:37 tlr: 7.2e-05 tnm: 0.53 Lm: 6.753 (6.753) Lt: 6.073 (6.073) Accm: 2.80 (2.80) Acct: 4.25 (4.25) proj_loss: -0.5974 (-0.5974) time: 0.3460 data: 0.0004 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:38 tlr: 7.2e-05 tnm: 0.53 Lm: 6.776 (6.776) Lt: 6.098 (6.098) Accm: 2.42 (2.42) Acct: 3.75 (3.75) proj_loss: -0.5962 (-0.5962) time: 0.3467 data: 0.0004 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:37 tlr: 7.2e-05 tnm: 0.53 Lm: 6.707 (6.707) Lt: 6.017 (6.017) Accm: 3.17 (3.17) Acct: 4.87 (4.87) proj_loss: -0.5885 (-0.5885) time: 0.3457 data: 0.0004 [11-24 11:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:38 tlr: 7.2e-05 tnm: 0.53 Lm: 6.706 (6.706) Lt: 6.000 (6.000) Accm: 2.78 (2.78) Acct: 4.27 (4.27) proj_loss: -0.5977 (-0.5977) time: 0.3467 data: 0.0004 [11-24 11:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:34 tlr: 7.2e-05 tnm: 0.51 Lm: 6.664 (6.664) Lt: 5.951 (5.951) Accm: 2.96 (2.96) Acct: 4.64 (4.64) proj_loss: -0.6014 (-0.6014) time: 0.3640 data: 0.0003 [11-24 11:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:35 tlr: 7.2e-05 tnm: 0.51 Lm: 6.798 (6.798) Lt: 6.122 (6.122) Accm: 2.65 (2.65) Acct: 4.10 (4.10) proj_loss: -0.6090 (-0.6090) time: 0.3639 data: 0.0003 [11-24 11:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:35 tlr: 7.2e-05 tnm: 0.51 Lm: 6.643 (6.643) Lt: 5.923 (5.923) Accm: 2.82 (2.82) Acct: 4.61 (4.61) proj_loss: -0.6018 (-0.6018) time: 0.3640 data: 0.0003 [11-24 11:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:34 tlr: 7.2e-05 tnm: 0.51 Lm: 6.754 (6.754) Lt: 6.078 (6.078) Accm: 2.74 (2.74) Acct: 4.23 (4.23) proj_loss: -0.5941 (-0.5941) time: 0.3639 data: 0.0003 [11-24 11:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:03 tlr: 7.2e-05 tnm: 0.53 Lm: 6.707 (6.718) Lt: 6.017 (6.038) Accm: 2.83 (2.77) Acct: 4.29 (4.25) proj_loss: -0.5996 (-0.6004) time: 0.3656 data: 0.0002 [11-24 11:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:03 tlr: 7.2e-05 tnm: 0.53 Lm: 6.753 (6.718) Lt: 6.073 (6.028) Accm: 2.80 (2.95) Acct: 4.25 (4.50) proj_loss: -0.6081 (-0.6087) time: 0.3656 data: 0.0002 [11-24 11:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:03 tlr: 7.2e-05 tnm: 0.53 Lm: 6.706 (6.711) Lt: 6.000 (6.002) Accm: 2.78 (2.85) Acct: 4.32 (4.53) proj_loss: -0.6032 (-0.6020) time: 0.3656 data: 0.0002 [11-24 11:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:03 tlr: 7.2e-05 tnm: 0.53 Lm: 6.708 (6.665) Lt: 5.995 (5.947) Accm: 2.47 (2.70) Acct: 3.81 (4.34) proj_loss: -0.5962 (-0.5955) time: 0.3656 data: 0.0003 [11-24 11:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:33 tlr: 7.2e-05 tnm: 0.53 Lm: 6.612 (6.628) Lt: 5.880 (5.901) Accm: 2.84 (2.89) Acct: 4.63 (4.63) proj_loss: -0.5939 (-0.5945) time: 0.4116 data: 0.0003 [11-24 11:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:33 tlr: 7.2e-05 tnm: 0.53 Lm: 6.665 (6.690) Lt: 5.951 (5.976) Accm: 2.96 (2.94) Acct: 4.67 (4.70) proj_loss: -0.6005 (-0.5995) time: 0.4116 data: 0.0002 [11-24 11:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:33 tlr: 7.2e-05 tnm: 0.53 Lm: 6.727 (6.725) Lt: 6.026 (6.037) Accm: 2.99 (2.86) Acct: 4.58 (4.44) proj_loss: -0.5953 (-0.5980) time: 0.4116 data: 0.0003 [11-24 11:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:33 tlr: 7.2e-05 tnm: 0.53 Lm: 6.702 (6.702) Lt: 5.983 (5.995) Accm: 2.92 (2.97) Acct: 4.61 (4.61) proj_loss: -0.6102 (-0.6096) time: 0.4116 data: 0.0003 [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.736 (6.709) Lt: 6.024 (6.000) Accm: 2.91 (2.96) Acct: 4.46 (4.58) proj_loss: -0.6123 (-0.6108) time: 0.4115 data: 0.0020 [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:13 (0.368 s / it) [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.747 (6.732) Lt: 6.035 (6.038) Accm: 2.83 (2.83) Acct: 4.29 (4.40) proj_loss: -0.5996 (-0.5990) time: 0.4115 data: 0.0016 [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.706 (6.697) Lt: 6.000 (5.990) Accm: 3.03 (2.95) Acct: 4.91 (4.74) proj_loss: -0.6032 (-0.6016) time: 0.4115 data: 0.0017 [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.687 (6.639) Lt: 5.957 (5.912) Accm: 2.80 (2.87) Acct: 4.32 (4.57) proj_loss: -0.5953 (-0.5947) time: 0.4115 data: 0.0018 [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:13 (0.368 s / it) [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:13 (0.368 s / it) [11-24 11:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:13 (0.368 s / it) [11-24 11:51:36] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.989), Acc m&t: 2.90 4.52, Remain: 16:12:34, Finish: 2024-11-24 12:04 [11-24 11:51:36] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.989), Acc m&t: 2.90 4.52, Remain: 16:12:08, Finish: 2024-11-24 12:03 [11-24 11:51:36] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.989), Acc m&t: 2.90 4.52, Remain: 16:11:56, Finish: 2024-11-24 12:03 [11-24 11:51:36] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.989), Acc m&t: 2.90 4.52, Remain: 16:12:26, Finish: 2024-11-24 12:04 [11-24 11:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:10:08 tlr: 7.2e-05 tnm: 0.49 Lm: 6.634 (6.634) Lt: 5.928 (5.928) Accm: 2.96 (2.96) Acct: 4.79 (4.79) proj_loss: -0.6081 (-0.6081) time: 0.3644 data: 0.0004 [11-24 11:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:10:10 tlr: 7.2e-05 tnm: 0.49 Lm: 6.755 (6.755) Lt: 6.087 (6.087) Accm: 2.70 (2.70) Acct: 4.22 (4.22) proj_loss: -0.6132 (-0.6132) time: 0.3657 data: 0.0003 [11-24 11:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:10:09 tlr: 7.2e-05 tnm: 0.49 Lm: 6.842 (6.842) Lt: 6.123 (6.123) Accm: 2.45 (2.45) Acct: 3.86 (3.86) proj_loss: -0.5859 (-0.5859) time: 0.3654 data: 0.0004 [11-24 11:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:10:11 tlr: 7.2e-05 tnm: 0.49 Lm: 6.526 (6.526) Lt: 5.800 (5.800) Accm: 3.77 (3.77) Acct: 5.91 (5.91) proj_loss: -0.6190 (-0.6190) time: 0.3662 data: 0.0004 [11-24 11:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:52 tlr: 7.1e-05 tnm: 0.53 Lm: 6.644 (6.644) Lt: 5.938 (5.938) Accm: 3.16 (3.16) Acct: 4.91 (4.91) proj_loss: -0.6159 (-0.6159) time: 0.3656 data: 0.0003 [11-24 11:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:52 tlr: 7.1e-05 tnm: 0.53 Lm: 6.801 (6.801) Lt: 6.100 (6.100) Accm: 2.57 (2.57) Acct: 4.09 (4.09) proj_loss: -0.5947 (-0.5947) time: 0.3656 data: 0.0003 [11-24 11:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:52 tlr: 7.1e-05 tnm: 0.53 Lm: 6.686 (6.686) Lt: 5.985 (5.985) Accm: 2.90 (2.90) Acct: 4.66 (4.66) proj_loss: -0.6124 (-0.6124) time: 0.3656 data: 0.0003 [11-24 11:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:52 tlr: 7.1e-05 tnm: 0.53 Lm: 6.662 (6.662) Lt: 5.988 (5.988) Accm: 2.95 (2.95) Acct: 4.44 (4.44) proj_loss: -0.6039 (-0.6039) time: 0.3656 data: 0.0003 [11-24 11:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:16 tlr: 7.1e-05 tnm: 0.52 Lm: 6.755 (6.702) Lt: 6.087 (6.031) Accm: 2.88 (2.93) Acct: 4.39 (4.42) proj_loss: -0.5978 (-0.6019) time: 0.4099 data: 0.0003 [11-24 11:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:16 tlr: 7.1e-05 tnm: 0.52 Lm: 6.760 (6.787) Lt: 6.076 (6.089) Accm: 2.60 (2.58) Acct: 4.25 (4.14) proj_loss: -0.6035 (-0.6032) time: 0.4099 data: 0.0003 [11-24 11:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:16 tlr: 7.1e-05 tnm: 0.52 Lm: 6.630 (6.639) Lt: 5.931 (5.936) Accm: 2.94 (3.09) Acct: 4.49 (4.77) proj_loss: -0.6129 (-0.6072) time: 0.4099 data: 0.0003 [11-24 11:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:16 tlr: 7.1e-05 tnm: 0.52 Lm: 6.711 (6.694) Lt: 6.007 (5.993) Accm: 2.84 (2.85) Acct: 4.53 (4.59) proj_loss: -0.6133 (-0.6127) time: 0.4099 data: 0.0003 [11-24 11:59:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:37 tlr: 7.1e-05 tnm: 0.50 Lm: 6.724 (6.719) Lt: 6.025 (6.009) Accm: 2.79 (2.82) Acct: 4.50 (4.56) proj_loss: -0.6107 (-0.6044) time: 0.4097 data: 0.0003 [11-24 11:59:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:37 tlr: 7.1e-05 tnm: 0.50 Lm: 6.638 (6.641) Lt: 5.960 (5.949) Accm: 2.78 (2.97) Acct: 4.24 (4.58) proj_loss: -0.6107 (-0.6075) time: 0.4097 data: 0.0003 [11-24 11:59:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:37 tlr: 7.1e-05 tnm: 0.50 Lm: 6.768 (6.749) Lt: 6.103 (6.080) Accm: 2.79 (2.84) Acct: 4.30 (4.33) proj_loss: -0.6055 (-0.6056) time: 0.4097 data: 0.0003 [11-24 11:59:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:37 tlr: 7.1e-05 tnm: 0.50 Lm: 6.759 (6.754) Lt: 6.072 (6.060) Accm: 2.64 (2.65) Acct: 4.21 (4.15) proj_loss: -0.5974 (-0.6002) time: 0.4097 data: 0.0003 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.50 Lm: 6.711 (6.691) Lt: 6.007 (5.981) Accm: 2.84 (2.88) Acct: 4.53 (4.60) proj_loss: -0.6133 (-0.6067) time: 0.4105 data: 0.0015 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.50 Lm: 6.630 (6.637) Lt: 5.931 (5.943) Accm: 2.83 (2.94) Acct: 4.24 (4.51) proj_loss: -0.6129 (-0.6095) time: 0.4106 data: 0.0016 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.50 Lm: 6.755 (6.743) Lt: 6.087 (6.068) Accm: 2.87 (2.84) Acct: 4.29 (4.32) proj_loss: -0.6006 (-0.6046) time: 0.4105 data: 0.0020 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.50 Lm: 6.758 (6.750) Lt: 6.067 (6.046) Accm: 2.69 (2.69) Acct: 4.25 (4.18) proj_loss: -0.6035 (-0.6014) time: 0.4106 data: 0.0019 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:23 (0.373 s / it) [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:23 (0.373 s / it) [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:23 (0.373 s / it) [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:23 (0.373 s / it) [11-24 12:02:00] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.004), Acc m&t: 2.90 4.52, Remain: 15:58:07, Finish: 2024-11-24 12:00 [11-24 12:02:00] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.004), Acc m&t: 2.90 4.52, Remain: 15:57:56, Finish: 2024-11-24 11:59 [11-24 12:02:00] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.004), Acc m&t: 2.90 4.52, Remain: 15:57:42, Finish: 2024-11-24 11:59 [11-24 12:02:00] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.004), Acc m&t: 2.90 4.52, Remain: 15:57:45, Finish: 2024-11-24 11:59 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:52 tlr: 7.1e-05 tnm: 0.51 Lm: 6.783 (6.783) Lt: 6.049 (6.049) Accm: 2.67 (2.67) Acct: 4.18 (4.18) proj_loss: -0.5910 (-0.5910) time: 0.3551 data: 0.0003 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:48 tlr: 7.1e-05 tnm: 0.51 Lm: 6.505 (6.505) Lt: 5.773 (5.773) Accm: 3.42 (3.42) Acct: 5.11 (5.11) proj_loss: -0.5847 (-0.5847) time: 0.3528 data: 0.0004 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:43 tlr: 7.1e-05 tnm: 0.51 Lm: 6.764 (6.764) Lt: 6.096 (6.096) Accm: 2.73 (2.73) Acct: 4.03 (4.03) proj_loss: -0.6305 (-0.6305) time: 0.3497 data: 0.0003 [11-24 12:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:47 tlr: 7.1e-05 tnm: 0.51 Lm: 6.591 (6.591) Lt: 5.885 (5.885) Accm: 3.42 (3.42) Acct: 5.42 (5.42) proj_loss: -0.6221 (-0.6221) time: 0.3520 data: 0.0004 [11-24 12:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:33 tlr: 7.1e-05 tnm: 0.52 Lm: 6.596 (6.596) Lt: 5.855 (5.855) Accm: 3.33 (3.33) Acct: 5.26 (5.26) proj_loss: -0.6124 (-0.6124) time: 0.3635 data: 0.0003 [11-24 12:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:33 tlr: 7.1e-05 tnm: 0.52 Lm: 6.722 (6.722) Lt: 6.040 (6.040) Accm: 2.89 (2.89) Acct: 4.33 (4.33) proj_loss: -0.6054 (-0.6054) time: 0.3635 data: 0.0002 [11-24 12:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:33 tlr: 7.1e-05 tnm: 0.52 Lm: 6.745 (6.745) Lt: 6.031 (6.031) Accm: 2.72 (2.72) Acct: 4.24 (4.24) proj_loss: -0.5851 (-0.5851) time: 0.3635 data: 0.0002 [11-24 12:04:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:33 tlr: 7.1e-05 tnm: 0.52 Lm: 6.521 (6.521) Lt: 5.816 (5.816) Accm: 3.39 (3.39) Acct: 5.23 (5.23) proj_loss: -0.5954 (-0.5954) time: 0.3635 data: 0.0003 [11-24 12:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:03 tlr: 7.1e-05 tnm: 0.51 Lm: 6.537 (6.604) Lt: 5.858 (5.912) Accm: 3.37 (3.16) Acct: 5.11 (4.85) proj_loss: -0.6061 (-0.6039) time: 0.3610 data: 0.0003 [11-24 12:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:03 tlr: 7.1e-05 tnm: 0.51 Lm: 6.601 (6.689) Lt: 5.885 (5.963) Accm: 3.23 (3.00) Acct: 5.10 (4.76) proj_loss: -0.6105 (-0.6117) time: 0.3610 data: 0.0003 [11-24 12:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:03 tlr: 7.1e-05 tnm: 0.51 Lm: 6.679 (6.693) Lt: 5.983 (5.985) Accm: 3.04 (2.96) Acct: 4.63 (4.65) proj_loss: -0.6045 (-0.6051) time: 0.3610 data: 0.0002 [11-24 12:07:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:03 tlr: 7.1e-05 tnm: 0.51 Lm: 6.783 (6.776) Lt: 6.049 (6.075) Accm: 2.67 (2.67) Acct: 4.18 (4.21) proj_loss: -0.5903 (-0.5868) time: 0.3610 data: 0.0003 [11-24 12:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.51 Lm: 6.761 (6.767) Lt: 6.031 (6.058) Accm: 2.72 (2.73) Acct: 4.24 (4.26) proj_loss: -0.5856 (-0.5854) time: 0.3655 data: 0.0003 [11-24 12:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.51 Lm: 6.658 (6.660) Lt: 5.939 (5.963) Accm: 3.08 (3.16) Acct: 4.96 (4.97) proj_loss: -0.6055 (-0.6055) time: 0.3655 data: 0.0002 [11-24 12:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.51 Lm: 6.613 (6.625) Lt: 5.905 (5.922) Accm: 3.08 (3.06) Acct: 4.79 (4.75) proj_loss: -0.6041 (-0.6035) time: 0.3655 data: 0.0003 [11-24 12:09:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.51 Lm: 6.724 (6.728) Lt: 6.016 (6.010) Accm: 2.85 (2.87) Acct: 4.65 (4.62) proj_loss: -0.6066 (-0.6065) time: 0.3655 data: 0.0003 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.52 Lm: 6.667 (6.716) Lt: 5.930 (5.994) Accm: 3.12 (2.92) Acct: 5.01 (4.70) proj_loss: -0.6036 (-0.6059) time: 0.3626 data: 0.0014 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:05 (0.363 s / it) [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.52 Lm: 6.738 (6.761) Lt: 6.013 (6.048) Accm: 2.71 (2.72) Acct: 4.30 (4.30) proj_loss: -0.5903 (-0.5877) time: 0.3626 data: 0.0017 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.52 Lm: 6.679 (6.689) Lt: 5.983 (5.989) Accm: 3.04 (3.02) Acct: 4.63 (4.77) proj_loss: -0.6066 (-0.6064) time: 0.3626 data: 0.0019 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.52 Lm: 6.688 (6.642) Lt: 5.951 (5.934) Accm: 2.97 (3.04) Acct: 4.68 (4.74) proj_loss: -0.6021 (-0.5994) time: 0.3625 data: 0.0018 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:05 (0.363 s / it) [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:05 (0.363 s / it) [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:05 (0.363 s / it) [11-24 12:12:06] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.692 (6.707), Lt: 5.981 (5.999), Acc m&t: 2.90 4.52, Remain: 15:41:03, Finish: 2024-11-24 11:53 [11-24 12:12:06] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.692 (6.707), Lt: 5.981 (5.999), Acc m&t: 2.90 4.52, Remain: 15:41:01, Finish: 2024-11-24 11:53 [11-24 12:12:06] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.692 (6.707), Lt: 5.981 (5.999), Acc m&t: 2.90 4.52, Remain: 15:41:28, Finish: 2024-11-24 11:53 [11-24 12:12:06] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.692 (6.707), Lt: 5.981 (5.999), Acc m&t: 2.90 4.52, Remain: 15:40:50, Finish: 2024-11-24 11:52 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:31 tlr: 7e-05 tnm: 0.53 Lm: 6.722 (6.722) Lt: 6.037 (6.037) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: -0.5912 (-0.5912) time: 0.3426 data: 0.0003 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:36 tlr: 7e-05 tnm: 0.53 Lm: 6.661 (6.661) Lt: 5.945 (5.945) Accm: 2.86 (2.86) Acct: 4.63 (4.63) proj_loss: -0.5979 (-0.5979) time: 0.3456 data: 0.0003 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:32 tlr: 7e-05 tnm: 0.53 Lm: 6.789 (6.789) Lt: 6.069 (6.069) Accm: 2.60 (2.60) Acct: 4.17 (4.17) proj_loss: -0.5971 (-0.5971) time: 0.3431 data: 0.0004 [11-24 12:12:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:45 tlr: 7e-05 tnm: 0.53 Lm: 6.710 (6.710) Lt: 5.990 (5.990) Accm: 2.80 (2.80) Acct: 4.29 (4.29) proj_loss: -0.5775 (-0.5775) time: 0.3509 data: 0.0004 [11-24 12:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:33 tlr: 7e-05 tnm: 0.51 Lm: 6.770 (6.770) Lt: 6.058 (6.058) Accm: 2.74 (2.74) Acct: 4.29 (4.29) proj_loss: -0.5847 (-0.5847) time: 0.3631 data: 0.0003 [11-24 12:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:33 tlr: 7e-05 tnm: 0.51 Lm: 6.691 (6.691) Lt: 5.994 (5.994) Accm: 2.81 (2.81) Acct: 4.61 (4.61) proj_loss: -0.5985 (-0.5985) time: 0.3631 data: 0.0003 [11-24 12:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:33 tlr: 7e-05 tnm: 0.51 Lm: 6.697 (6.697) Lt: 5.968 (5.968) Accm: 2.77 (2.77) Acct: 4.36 (4.36) proj_loss: -0.6101 (-0.6101) time: 0.3631 data: 0.0003 [11-24 12:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:33 tlr: 7e-05 tnm: 0.51 Lm: 6.723 (6.723) Lt: 6.048 (6.048) Accm: 2.66 (2.66) Acct: 4.19 (4.19) proj_loss: -0.6013 (-0.6013) time: 0.3631 data: 0.0003 [11-24 12:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:03 tlr: 7e-05 tnm: 0.52 Lm: 6.724 (6.733) Lt: 6.037 (6.041) Accm: 2.64 (2.59) Acct: 4.15 (4.09) proj_loss: -0.6101 (-0.6042) time: 0.3641 data: 0.0003 [11-24 12:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:03 tlr: 7e-05 tnm: 0.52 Lm: 6.719 (6.700) Lt: 5.993 (5.994) Accm: 2.84 (2.82) Acct: 4.60 (4.42) proj_loss: -0.5979 (-0.5929) time: 0.3641 data: 0.0003 [11-24 12:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:03 tlr: 7e-05 tnm: 0.52 Lm: 6.830 (6.817) Lt: 6.126 (6.113) Accm: 2.69 (2.62) Acct: 4.29 (4.09) proj_loss: -0.5875 (-0.5857) time: 0.3641 data: 0.0003 [11-24 12:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:03 tlr: 7e-05 tnm: 0.52 Lm: 6.662 (6.686) Lt: 5.958 (5.965) Accm: 2.86 (2.80) Acct: 4.17 (4.28) proj_loss: -0.6078 (-0.6093) time: 0.3641 data: 0.0003 [11-24 12:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:33 tlr: 7e-05 tnm: 0.52 Lm: 6.697 (6.697) Lt: 5.994 (5.981) Accm: 2.90 (2.86) Acct: 4.36 (4.39) proj_loss: -0.6052 (-0.6077) time: 0.3633 data: 0.0003 [11-24 12:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:33 tlr: 7e-05 tnm: 0.52 Lm: 6.690 (6.665) Lt: 5.969 (5.957) Accm: 2.85 (2.95) Acct: 4.61 (4.64) proj_loss: -0.5985 (-0.6001) time: 0.3633 data: 0.0003 [11-24 12:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:33 tlr: 7e-05 tnm: 0.52 Lm: 6.777 (6.794) Lt: 6.058 (6.075) Accm: 2.71 (2.65) Acct: 4.26 (4.12) proj_loss: -0.5868 (-0.5857) time: 0.3633 data: 0.0003 [11-24 12:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:33 tlr: 7e-05 tnm: 0.52 Lm: 6.724 (6.731) Lt: 6.048 (6.050) Accm: 2.66 (2.64) Acct: 4.19 (4.15) proj_loss: -0.6108 (-0.6069) time: 0.3633 data: 0.0003 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.725 (6.756) Lt: 6.059 (6.081) Accm: 2.64 (2.62) Acct: 4.15 (4.13) proj_loss: -0.6101 (-0.6060) time: 0.3639 data: 0.0020 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:16 (0.369 s / it) [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.731 (6.712) Lt: 6.029 (6.000) Accm: 2.91 (2.87) Acct: 4.55 (4.42) proj_loss: -0.6078 (-0.6091) time: 0.3639 data: 0.0019 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.724 (6.757) Lt: 5.990 (6.044) Accm: 2.74 (2.78) Acct: 4.29 (4.30) proj_loss: -0.5875 (-0.5918) time: 0.3639 data: 0.0016 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.719 (6.707) Lt: 5.993 (6.010) Accm: 2.84 (2.80) Acct: 4.60 (4.42) proj_loss: -0.5979 (-0.5965) time: 0.3639 data: 0.0016 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:16 (0.369 s / it) [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:16 (0.369 s / it) [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:16 (0.369 s / it) [11-24 12:22:22] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.692 (6.700), Lt: 5.981 (5.991), Acc m&t: 2.90 4.52, Remain: 15:37:23, Finish: 2024-11-24 11:59 [11-24 12:22:22] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.692 (6.700), Lt: 5.981 (5.991), Acc m&t: 2.90 4.52, Remain: 15:37:05, Finish: 2024-11-24 11:59 [11-24 12:22:22] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.692 (6.700), Lt: 5.981 (5.991), Acc m&t: 2.90 4.52, Remain: 15:37:40, Finish: 2024-11-24 12:00 [11-24 12:22:22] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.692 (6.700), Lt: 5.981 (5.991), Acc m&t: 2.90 4.52, Remain: 15:37:26, Finish: 2024-11-24 11:59 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:09:39 tlr: 6.9e-05 tnm: 0.51 Lm: 6.661 (6.661) Lt: 5.951 (5.951) Accm: 2.74 (2.74) Acct: 4.24 (4.24) proj_loss: -0.6144 (-0.6144) time: 0.3472 data: 0.0004 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:09:52 tlr: 6.9e-05 tnm: 0.51 Lm: 6.707 (6.707) Lt: 5.948 (5.948) Accm: 2.85 (2.85) Acct: 4.49 (4.49) proj_loss: -0.5797 (-0.5797) time: 0.3550 data: 0.0004 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:10:41 tlr: 6.9e-05 tnm: 0.51 Lm: 6.690 (6.690) Lt: 5.994 (5.994) Accm: 2.88 (2.88) Acct: 4.30 (4.30) proj_loss: -0.6088 (-0.6088) time: 0.3843 data: 0.0004 [11-24 12:22:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:09:25 tlr: 6.9e-05 tnm: 0.51 Lm: 6.645 (6.645) Lt: 5.888 (5.888) Accm: 2.97 (2.97) Acct: 5.11 (5.11) proj_loss: -0.5839 (-0.5839) time: 0.3387 data: 0.0004 [11-24 12:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:49 tlr: 6.9e-05 tnm: 0.49 Lm: 6.697 (6.697) Lt: 5.938 (5.938) Accm: 2.94 (2.94) Acct: 4.83 (4.83) proj_loss: -0.5849 (-0.5849) time: 0.4114 data: 0.0002 [11-24 12:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:49 tlr: 6.9e-05 tnm: 0.49 Lm: 6.706 (6.706) Lt: 6.025 (6.025) Accm: 2.79 (2.79) Acct: 4.24 (4.24) proj_loss: -0.6095 (-0.6095) time: 0.4114 data: 0.0003 [11-24 12:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:49 tlr: 6.9e-05 tnm: 0.49 Lm: 6.747 (6.747) Lt: 5.989 (5.989) Accm: 2.59 (2.59) Acct: 4.17 (4.17) proj_loss: -0.5845 (-0.5845) time: 0.4114 data: 0.0003 [11-24 12:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:49 tlr: 6.9e-05 tnm: 0.49 Lm: 6.739 (6.739) Lt: 6.029 (6.029) Accm: 2.68 (2.68) Acct: 4.29 (4.29) proj_loss: -0.6011 (-0.6011) time: 0.4114 data: 0.0002 [11-24 12:27:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:14 tlr: 6.9e-05 tnm: 0.52 Lm: 6.818 (6.791) Lt: 6.106 (6.097) Accm: 2.63 (2.59) Acct: 4.24 (4.06) proj_loss: -0.5953 (-0.5991) time: 0.3663 data: 0.0003 [11-24 12:27:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:14 tlr: 6.9e-05 tnm: 0.52 Lm: 6.701 (6.699) Lt: 5.962 (5.946) Accm: 2.91 (2.89) Acct: 4.55 (4.73) proj_loss: -0.5859 (-0.5947) time: 0.3663 data: 0.0003 [11-24 12:27:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:14 tlr: 6.9e-05 tnm: 0.52 Lm: 6.723 (6.743) Lt: 6.056 (6.071) Accm: 2.71 (2.67) Acct: 4.17 (4.16) proj_loss: -0.6088 (-0.6089) time: 0.3663 data: 0.0003 [11-24 12:27:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:14 tlr: 6.9e-05 tnm: 0.52 Lm: 6.765 (6.753) Lt: 6.030 (6.005) Accm: 2.55 (2.58) Acct: 4.22 (4.18) proj_loss: -0.5819 (-0.5837) time: 0.3663 data: 0.0003 [11-24 12:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:36 tlr: 6.9e-05 tnm: 0.53 Lm: 6.736 (6.728) Lt: 5.995 (5.994) Accm: 2.70 (2.71) Acct: 4.36 (4.28) proj_loss: -0.5856 (-0.5892) time: 0.3608 data: 0.0003 [11-24 12:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:36 tlr: 6.9e-05 tnm: 0.53 Lm: 6.673 (6.662) Lt: 5.925 (5.911) Accm: 2.94 (2.96) Acct: 4.83 (4.83) proj_loss: -0.5947 (-0.5969) time: 0.3607 data: 0.0003 [11-24 12:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:36 tlr: 6.9e-05 tnm: 0.53 Lm: 6.706 (6.710) Lt: 6.025 (6.033) Accm: 2.79 (2.78) Acct: 4.24 (4.31) proj_loss: -0.6082 (-0.6004) time: 0.3607 data: 0.0002 [11-24 12:30:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:36 tlr: 6.9e-05 tnm: 0.53 Lm: 6.762 (6.770) Lt: 6.063 (6.078) Accm: 2.64 (2.61) Acct: 4.22 (4.10) proj_loss: -0.5915 (-0.5953) time: 0.3608 data: 0.0003 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.705 (6.734) Lt: 6.020 (6.051) Accm: 2.65 (2.72) Acct: 4.24 (4.23) proj_loss: -0.5953 (-0.5998) time: 0.3632 data: 0.0020 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:20 (0.372 s / it) [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.701 (6.671) Lt: 5.962 (5.945) Accm: 2.97 (2.96) Acct: 4.55 (4.73) proj_loss: -0.6036 (-0.6020) time: 0.3632 data: 0.0019 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.690 (6.705) Lt: 5.994 (6.025) Accm: 2.75 (2.78) Acct: 4.22 (4.29) proj_loss: -0.6076 (-0.5975) time: 0.3632 data: 0.0017 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.707 (6.717) Lt: 5.960 (5.978) Accm: 2.85 (2.77) Acct: 4.49 (4.40) proj_loss: -0.5888 (-0.5891) time: 0.3632 data: 0.0018 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:20 (0.372 s / it) [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:20 (0.372 s / it) [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:20 (0.372 s / it) [11-24 12:32:43] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 15:20:38, Finish: 2024-11-24 11:53 [11-24 12:32:43] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 15:22:09, Finish: 2024-11-24 11:54 [11-24 12:32:43] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 15:20:28, Finish: 2024-11-24 11:53 [11-24 12:32:43] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 15:20:50, Finish: 2024-11-24 11:53 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:09:59 tlr: 6.9e-05 tnm: 0.52 Lm: 6.807 (6.807) Lt: 6.150 (6.150) Accm: 2.46 (2.46) Acct: 3.60 (3.60) proj_loss: -0.5950 (-0.5950) time: 0.3591 data: 0.0004 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:10:13 tlr: 6.9e-05 tnm: 0.52 Lm: 6.624 (6.624) Lt: 5.905 (5.905) Accm: 2.96 (2.96) Acct: 4.67 (4.67) proj_loss: -0.5835 (-0.5835) time: 0.3673 data: 0.0004 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:10:13 tlr: 6.9e-05 tnm: 0.52 Lm: 6.718 (6.718) Lt: 6.045 (6.045) Accm: 2.87 (2.87) Acct: 4.37 (4.37) proj_loss: -0.5856 (-0.5856) time: 0.3677 data: 0.0003 [11-24 12:32:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:10:14 tlr: 6.9e-05 tnm: 0.52 Lm: 6.628 (6.628) Lt: 5.903 (5.903) Accm: 3.23 (3.23) Acct: 4.91 (4.91) proj_loss: -0.5856 (-0.5856) time: 0.3680 data: 0.0004 [11-24 12:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:35 tlr: 6.9e-05 tnm: 0.52 Lm: 6.664 (6.664) Lt: 5.975 (5.975) Accm: 3.17 (3.17) Acct: 4.87 (4.87) proj_loss: -0.6030 (-0.6030) time: 0.3685 data: 0.0002 [11-24 12:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:35 tlr: 6.9e-05 tnm: 0.52 Lm: 6.708 (6.708) Lt: 5.970 (5.970) Accm: 2.72 (2.72) Acct: 4.29 (4.29) proj_loss: -0.5874 (-0.5874) time: 0.3685 data: 0.0003 [11-24 12:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:35 tlr: 6.9e-05 tnm: 0.52 Lm: 6.765 (6.765) Lt: 6.066 (6.066) Accm: 2.55 (2.55) Acct: 3.81 (3.81) proj_loss: -0.5997 (-0.5997) time: 0.3684 data: 0.0003 [11-24 12:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:35 tlr: 6.9e-05 tnm: 0.52 Lm: 6.667 (6.667) Lt: 5.949 (5.949) Accm: 3.06 (3.06) Acct: 4.80 (4.80) proj_loss: -0.6006 (-0.6006) time: 0.3684 data: 0.0003 [11-24 12:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:03 tlr: 6.8e-05 tnm: 0.52 Lm: 6.718 (6.699) Lt: 6.045 (6.004) Accm: 2.87 (2.86) Acct: 4.37 (4.41) proj_loss: -0.6137 (-0.6050) time: 0.3619 data: 0.0003 [11-24 12:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:03 tlr: 6.8e-05 tnm: 0.52 Lm: 6.747 (6.759) Lt: 6.003 (6.045) Accm: 2.63 (2.68) Acct: 4.01 (4.18) proj_loss: -0.5950 (-0.5967) time: 0.3619 data: 0.0003 [11-24 12:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:03 tlr: 6.8e-05 tnm: 0.52 Lm: 6.668 (6.665) Lt: 5.957 (5.969) Accm: 3.23 (3.19) Acct: 4.91 (4.91) proj_loss: -0.5940 (-0.6000) time: 0.3619 data: 0.0003 [11-24 12:37:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:03 tlr: 6.8e-05 tnm: 0.52 Lm: 6.747 (6.721) Lt: 6.026 (5.988) Accm: 2.48 (2.62) Acct: 3.91 (4.12) proj_loss: -0.5912 (-0.5969) time: 0.3619 data: 0.0003 [11-24 12:40:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:31 tlr: 6.8e-05 tnm: 0.51 Lm: 6.769 (6.765) Lt: 6.030 (6.036) Accm: 2.45 (2.54) Acct: 3.85 (4.02) proj_loss: -0.5927 (-0.5962) time: 0.3630 data: 0.0003 [11-24 12:40:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:31 tlr: 6.8e-05 tnm: 0.51 Lm: 6.684 (6.698) Lt: 5.999 (5.987) Accm: 3.17 (3.06) Acct: 4.87 (4.74) proj_loss: -0.5950 (-0.5990) time: 0.3630 data: 0.0003 [11-24 12:40:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:31 tlr: 6.8e-05 tnm: 0.51 Lm: 6.758 (6.762) Lt: 6.043 (6.054) Accm: 2.64 (2.68) Acct: 4.09 (4.18) proj_loss: -0.5997 (-0.5990) time: 0.3630 data: 0.0003 [11-24 12:40:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:31 tlr: 6.8e-05 tnm: 0.51 Lm: 6.673 (6.681) Lt: 6.002 (5.993) Accm: 3.00 (2.93) Acct: 4.59 (4.51) proj_loss: -0.6147 (-0.6087) time: 0.3630 data: 0.0003 [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.52 Lm: 6.715 (6.688) Lt: 6.024 (5.999) Accm: 2.88 (2.92) Acct: 4.55 (4.51) proj_loss: -0.6137 (-0.6070) time: 0.3657 data: 0.0019 [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:06 (0.364 s / it) [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.52 Lm: 6.747 (6.717) Lt: 6.026 (5.993) Accm: 2.48 (2.73) Acct: 3.91 (4.28) proj_loss: -0.5942 (-0.5998) time: 0.3657 data: 0.0020 [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.52 Lm: 6.747 (6.734) Lt: 6.003 (6.029) Accm: 2.66 (2.78) Acct: 4.17 (4.32) proj_loss: -0.5950 (-0.5957) time: 0.3657 data: 0.0020 [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.52 Lm: 6.668 (6.690) Lt: 6.001 (5.990) Accm: 3.10 (3.04) Acct: 4.84 (4.73) proj_loss: -0.5960 (-0.6041) time: 0.3657 data: 0.0020 [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:06 (0.364 s / it) [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:06 (0.364 s / it) [11-24 12:42:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:06 (0.364 s / it) [11-24 12:45:09] (home/user/VAR/trainer.py, line 114)=> FID: 3.9724888154935343 [11-24 12:45:10] (/home/user/VAR/train.py , line 259)=> [*] [ep259] (val 50000) Lm: 6.6944, Lt: 5.9859, Acc m&t: 2.88 4.51, Val cost: 139.74s [11-24 12:45:10] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 12:45:19] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.986), Acc m&t: 2.90 4.52, Remain: 15:17:33, Finish: 2024-11-24 12:00 [11-24 12:45:19] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.986), Acc m&t: 2.90 4.52, Remain: 15:17:49, Finish: 2024-11-24 12:00 [11-24 12:45:19] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.986), Acc m&t: 2.90 4.52, Remain: 15:17:58, Finish: 2024-11-24 12:00 [11-24 12:45:19] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.692 (6.694), Lt: 5.981 (5.986), Acc m&t: 2.90 4.52, Remain: 15:17:51, Finish: 2024-11-24 12:00 [11-24 12:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:09:52 tlr: 6.8e-05 tnm: 0.53 Lm: 6.645 (6.645) Lt: 5.962 (5.962) Accm: 2.94 (2.94) Acct: 4.61 (4.61) proj_loss: -0.6353 (-0.6353) time: 0.3552 data: 0.0004 [11-24 12:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:09:52 tlr: 6.8e-05 tnm: 0.53 Lm: 6.607 (6.607) Lt: 5.852 (5.852) Accm: 3.06 (3.06) Acct: 5.10 (5.10) proj_loss: -0.6082 (-0.6082) time: 0.3548 data: 0.0004 [11-24 12:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:09:53 tlr: 6.8e-05 tnm: 0.53 Lm: 6.714 (6.714) Lt: 6.012 (6.012) Accm: 2.43 (2.43) Acct: 3.89 (3.89) proj_loss: -0.5973 (-0.5973) time: 0.3554 data: 0.0003 [11-24 12:45:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:10:03 tlr: 6.8e-05 tnm: 0.53 Lm: 6.772 (6.772) Lt: 6.094 (6.094) Accm: 2.47 (2.47) Acct: 3.68 (3.68) proj_loss: -0.5813 (-0.5813) time: 0.3618 data: 0.0004 [11-24 12:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:34 tlr: 6.8e-05 tnm: 0.52 Lm: 6.792 (6.792) Lt: 6.111 (6.111) Accm: 2.53 (2.53) Acct: 3.87 (3.87) proj_loss: -0.6028 (-0.6028) time: 0.3639 data: 0.0003 [11-24 12:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:34 tlr: 6.8e-05 tnm: 0.52 Lm: 6.616 (6.616) Lt: 5.909 (5.909) Accm: 3.07 (3.07) Acct: 4.69 (4.69) proj_loss: -0.6055 (-0.6055) time: 0.3639 data: 0.0002 [11-24 12:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:34 tlr: 6.8e-05 tnm: 0.52 Lm: 6.660 (6.660) Lt: 5.931 (5.931) Accm: 2.91 (2.91) Acct: 4.80 (4.80) proj_loss: -0.6048 (-0.6048) time: 0.3639 data: 0.0003 [11-24 12:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:34 tlr: 6.8e-05 tnm: 0.52 Lm: 6.681 (6.681) Lt: 5.956 (5.956) Accm: 2.77 (2.77) Acct: 4.24 (4.24) proj_loss: -0.5899 (-0.5899) time: 0.3639 data: 0.0003 [11-24 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:04 tlr: 6.8e-05 tnm: 0.56 Lm: 6.714 (6.716) Lt: 6.012 (5.999) Accm: 2.50 (2.68) Acct: 3.93 (4.14) proj_loss: -0.5855 (-0.5884) time: 0.3611 data: 0.0003 [11-24 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:04 tlr: 6.8e-05 tnm: 0.56 Lm: 6.639 (6.653) Lt: 5.912 (5.925) Accm: 2.83 (2.88) Acct: 4.49 (4.65) proj_loss: -0.6025 (-0.6040) time: 0.3611 data: 0.0004 [11-24 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:04 tlr: 6.8e-05 tnm: 0.56 Lm: 6.812 (6.812) Lt: 6.129 (6.143) Accm: 2.47 (2.51) Acct: 3.70 (3.82) proj_loss: -0.6237 (-0.6098) time: 0.3611 data: 0.0003 [11-24 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:04 tlr: 6.8e-05 tnm: 0.56 Lm: 6.645 (6.630) Lt: 5.898 (5.905) Accm: 3.17 (3.10) Acct: 4.77 (4.81) proj_loss: -0.5902 (-0.6004) time: 0.3611 data: 0.0003 [11-24 12:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:33 tlr: 6.7e-05 tnm: 0.50 Lm: 6.651 (6.638) Lt: 5.906 (5.907) Accm: 3.06 (3.06) Acct: 4.77 (4.80) proj_loss: -0.6002 (-0.6029) time: 0.3612 data: 0.0002 [11-24 12:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:33 tlr: 6.7e-05 tnm: 0.50 Lm: 6.676 (6.678) Lt: 5.940 (5.935) Accm: 2.79 (2.82) Acct: 4.48 (4.61) proj_loss: -0.6019 (-0.6021) time: 0.3612 data: 0.0003 [11-24 12:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:33 tlr: 6.7e-05 tnm: 0.50 Lm: 6.681 (6.699) Lt: 5.956 (5.963) Accm: 2.80 (2.79) Acct: 4.26 (4.37) proj_loss: -0.5848 (-0.5874) time: 0.3612 data: 0.0003 [11-24 12:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:33 tlr: 6.7e-05 tnm: 0.50 Lm: 6.792 (6.791) Lt: 6.111 (6.120) Accm: 2.53 (2.59) Acct: 3.88 (3.96) proj_loss: -0.6181 (-0.6105) time: 0.3612 data: 0.0003 [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.772 (6.711) Lt: 6.094 (6.026) Accm: 2.60 (2.72) Acct: 4.06 (4.21) proj_loss: -0.6227 (-0.6129) time: 0.3667 data: 0.0019 [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:17 (0.370 s / it) [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.679 (6.678) Lt: 5.912 (5.928) Accm: 2.83 (2.83) Acct: 4.49 (4.61) proj_loss: -0.6013 (-0.5993) time: 0.3667 data: 0.0016 [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.658 (6.665) Lt: 5.913 (5.936) Accm: 2.94 (2.92) Acct: 4.77 (4.58) proj_loss: -0.5902 (-0.5992) time: 0.3667 data: 0.0017 [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.660 (6.691) Lt: 5.929 (5.956) Accm: 3.11 (2.86) Acct: 4.60 (4.51) proj_loss: -0.5847 (-0.5868) time: 0.3667 data: 0.0019 [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:17 (0.370 s / it) [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:17 (0.370 s / it) [11-24 12:55:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:17 (0.370 s / it) [11-24 12:55:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.692 (6.701), Lt: 5.981 (5.990), Acc m&t: 2.90 4.52, Remain: 15:09:08, Finish: 2024-11-24 12:04 [11-24 12:55:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.692 (6.701), Lt: 5.981 (5.990), Acc m&t: 2.90 4.52, Remain: 15:09:24, Finish: 2024-11-24 12:05 [11-24 12:55:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.692 (6.701), Lt: 5.981 (5.990), Acc m&t: 2.90 4.52, Remain: 15:09:30, Finish: 2024-11-24 12:05 [11-24 12:55:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.692 (6.701), Lt: 5.981 (5.990), Acc m&t: 2.90 4.52, Remain: 15:10:42, Finish: 2024-11-24 12:06 [11-24 12:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:09:43 tlr: 6.7e-05 tnm: 0.53 Lm: 6.992 (6.992) Lt: 6.364 (6.364) Accm: 2.27 (2.27) Acct: 3.65 (3.65) proj_loss: -0.5865 (-0.5865) time: 0.3493 data: 0.0004 [11-24 12:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:09:59 tlr: 6.7e-05 tnm: 0.53 Lm: 6.655 (6.655) Lt: 5.935 (5.935) Accm: 2.72 (2.72) Acct: 4.17 (4.17) proj_loss: -0.5861 (-0.5861) time: 0.3592 data: 0.0003 [11-24 12:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:09:45 tlr: 6.7e-05 tnm: 0.53 Lm: 6.647 (6.647) Lt: 5.881 (5.881) Accm: 3.17 (3.17) Acct: 5.11 (5.11) proj_loss: -0.5969 (-0.5969) time: 0.3506 data: 0.0004 [11-24 12:55:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:09:44 tlr: 6.7e-05 tnm: 0.53 Lm: 6.637 (6.637) Lt: 5.913 (5.913) Accm: 2.96 (2.96) Acct: 4.89 (4.89) proj_loss: -0.5977 (-0.5977) time: 0.3502 data: 0.0004 [11-24 12:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:45 tlr: 6.7e-05 tnm: 0.53 Lm: 6.644 (6.644) Lt: 5.921 (5.921) Accm: 2.91 (2.91) Acct: 4.74 (4.74) proj_loss: -0.6091 (-0.6091) time: 0.3610 data: 0.0003 [11-24 12:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:45 tlr: 6.7e-05 tnm: 0.53 Lm: 6.817 (6.817) Lt: 6.176 (6.176) Accm: 2.71 (2.71) Acct: 4.20 (4.20) proj_loss: -0.6050 (-0.6050) time: 0.3610 data: 0.0003 [11-24 12:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:45 tlr: 6.7e-05 tnm: 0.53 Lm: 6.744 (6.744) Lt: 6.054 (6.054) Accm: 2.60 (2.60) Acct: 4.08 (4.08) proj_loss: -0.5954 (-0.5954) time: 0.3610 data: 0.0003 [11-24 12:58:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:45 tlr: 6.7e-05 tnm: 0.53 Lm: 6.654 (6.654) Lt: 5.911 (5.911) Accm: 3.04 (3.04) Acct: 4.92 (4.92) proj_loss: -0.6031 (-0.6031) time: 0.3610 data: 0.0003 [11-24 13:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:16 tlr: 6.7e-05 tnm: 0.57 Lm: 6.642 (6.719) Lt: 5.989 (6.026) Accm: 3.16 (2.90) Acct: 4.75 (4.58) proj_loss: -0.6123 (-0.6075) time: 0.3625 data: 0.0003 [11-24 13:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:16 tlr: 6.7e-05 tnm: 0.57 Lm: 6.651 (6.659) Lt: 5.928 (5.945) Accm: 2.96 (3.00) Acct: 4.87 (4.79) proj_loss: -0.6017 (-0.6066) time: 0.3625 data: 0.0003 [11-24 13:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:16 tlr: 6.7e-05 tnm: 0.57 Lm: 6.655 (6.695) Lt: 5.935 (5.993) Accm: 2.72 (2.86) Acct: 4.17 (4.50) proj_loss: -0.5945 (-0.5951) time: 0.3625 data: 0.0003 [11-24 13:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:16 tlr: 6.7e-05 tnm: 0.57 Lm: 6.660 (6.669) Lt: 5.932 (5.918) Accm: 2.94 (3.01) Acct: 4.72 (4.83) proj_loss: -0.5969 (-0.5981) time: 0.3626 data: 0.0003 [11-24 13:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:36 tlr: 6.7e-05 tnm: 0.52 Lm: 6.680 (6.692) Lt: 5.936 (5.960) Accm: 2.93 (2.88) Acct: 4.68 (4.66) proj_loss: -0.6002 (-0.5995) time: 0.3615 data: 0.0003 [11-24 13:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:36 tlr: 6.7e-05 tnm: 0.52 Lm: 6.644 (6.701) Lt: 5.950 (5.997) Accm: 3.07 (2.92) Acct: 4.82 (4.66) proj_loss: -0.6043 (-0.6047) time: 0.3615 data: 0.0003 [11-24 13:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:36 tlr: 6.7e-05 tnm: 0.52 Lm: 6.644 (6.627) Lt: 5.921 (5.902) Accm: 3.07 (3.09) Acct: 4.88 (4.90) proj_loss: -0.5997 (-0.6006) time: 0.3615 data: 0.0003 [11-24 13:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:36 tlr: 6.7e-05 tnm: 0.52 Lm: 6.693 (6.703) Lt: 6.002 (6.013) Accm: 2.67 (2.80) Acct: 4.08 (4.29) proj_loss: -0.5996 (-0.6018) time: 0.3615 data: 0.0003 [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.730 (6.715) Lt: 6.070 (6.034) Accm: 2.72 (2.81) Acct: 4.17 (4.37) proj_loss: -0.5981 (-0.6011) time: 0.3651 data: 0.0017 [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:21 (0.372 s / it) [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.651 (6.652) Lt: 5.928 (5.943) Accm: 2.96 (3.02) Acct: 4.87 (4.75) proj_loss: -0.5977 (-0.5995) time: 0.3650 data: 0.0014 [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.646 (6.702) Lt: 5.989 (6.012) Accm: 2.97 (2.92) Acct: 4.75 (4.59) proj_loss: -0.6123 (-0.6089) time: 0.3651 data: 0.0019 [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.660 (6.668) Lt: 5.932 (5.948) Accm: 2.94 (2.94) Acct: 4.72 (4.69) proj_loss: -0.5969 (-0.5973) time: 0.3651 data: 0.0017 [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:21 (0.372 s / it) [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:21 (0.372 s / it) [11-24 13:05:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:21 (0.372 s / it) [11-24 13:05:57] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.692 (6.696), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 14:57:41, Finish: 2024-11-24 12:03 [11-24 13:05:57] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.692 (6.696), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 14:57:36, Finish: 2024-11-24 12:03 [11-24 13:05:57] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.692 (6.696), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 14:57:55, Finish: 2024-11-24 12:03 [11-24 13:05:57] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.692 (6.696), Lt: 5.981 (5.987), Acc m&t: 2.90 4.52, Remain: 14:57:38, Finish: 2024-11-24 12:03 [11-24 13:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:45 tlr: 6.7e-05 tnm: 0.51 Lm: 6.622 (6.622) Lt: 5.861 (5.861) Accm: 3.22 (3.22) Acct: 4.84 (4.84) proj_loss: -0.5832 (-0.5832) time: 0.3507 data: 0.0003 [11-24 13:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:46 tlr: 6.7e-05 tnm: 0.51 Lm: 6.637 (6.637) Lt: 5.939 (5.939) Accm: 2.90 (2.90) Acct: 4.18 (4.18) proj_loss: -0.5956 (-0.5956) time: 0.3514 data: 0.0004 [11-24 13:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:47 tlr: 6.7e-05 tnm: 0.51 Lm: 6.717 (6.717) Lt: 6.021 (6.021) Accm: 2.86 (2.86) Acct: 4.36 (4.36) proj_loss: -0.6025 (-0.6025) time: 0.3519 data: 0.0003 [11-24 13:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:45 tlr: 6.7e-05 tnm: 0.51 Lm: 6.778 (6.778) Lt: 6.083 (6.083) Accm: 2.55 (2.55) Acct: 3.94 (3.94) proj_loss: -0.5910 (-0.5910) time: 0.3510 data: 0.0004 [11-24 13:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:33 tlr: 6.6e-05 tnm: 0.51 Lm: 6.689 (6.689) Lt: 5.989 (5.989) Accm: 2.96 (2.96) Acct: 4.61 (4.61) proj_loss: -0.6100 (-0.6100) time: 0.3615 data: 0.0003 [11-24 13:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:33 tlr: 6.6e-05 tnm: 0.51 Lm: 6.625 (6.625) Lt: 5.836 (5.836) Accm: 3.23 (3.23) Acct: 5.05 (5.05) proj_loss: -0.5990 (-0.5990) time: 0.3616 data: 0.0003 [11-24 13:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:33 tlr: 6.6e-05 tnm: 0.51 Lm: 6.726 (6.726) Lt: 6.001 (6.001) Accm: 2.87 (2.87) Acct: 4.42 (4.42) proj_loss: -0.6024 (-0.6024) time: 0.3616 data: 0.0002 [11-24 13:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:33 tlr: 6.6e-05 tnm: 0.51 Lm: 6.616 (6.616) Lt: 5.878 (5.878) Accm: 3.01 (3.01) Acct: 4.65 (4.65) proj_loss: -0.5924 (-0.5924) time: 0.3616 data: 0.0003 [11-24 13:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:02 tlr: 6.6e-05 tnm: 0.52 Lm: 6.637 (6.646) Lt: 5.939 (5.909) Accm: 2.90 (2.94) Acct: 4.49 (4.60) proj_loss: -0.5917 (-0.5922) time: 0.3598 data: 0.0003 [11-24 13:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:02 tlr: 6.6e-05 tnm: 0.52 Lm: 6.629 (6.694) Lt: 5.861 (5.940) Accm: 3.22 (3.01) Acct: 4.84 (4.78) proj_loss: -0.6035 (-0.6005) time: 0.3598 data: 0.0003 [11-24 13:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:02 tlr: 6.6e-05 tnm: 0.52 Lm: 6.778 (6.742) Lt: 6.083 (6.057) Accm: 2.56 (2.83) Acct: 4.03 (4.42) proj_loss: -0.6176 (-0.6125) time: 0.3598 data: 0.0003 [11-24 13:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:02 tlr: 6.6e-05 tnm: 0.52 Lm: 6.734 (6.744) Lt: 6.021 (6.025) Accm: 2.86 (2.80) Acct: 4.36 (4.36) proj_loss: -0.6023 (-0.6016) time: 0.3598 data: 0.0003 [11-24 13:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:31 tlr: 6.6e-05 tnm: 0.52 Lm: 6.745 (6.747) Lt: 6.035 (6.031) Accm: 2.75 (2.76) Acct: 4.29 (4.30) proj_loss: -0.6011 (-0.6008) time: 0.3621 data: 0.0003 [11-24 13:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:31 tlr: 6.6e-05 tnm: 0.52 Lm: 6.625 (6.672) Lt: 5.847 (5.913) Accm: 3.23 (3.07) Acct: 4.88 (4.81) proj_loss: -0.6005 (-0.5997) time: 0.3621 data: 0.0003 [11-24 13:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:31 tlr: 6.6e-05 tnm: 0.52 Lm: 6.672 (6.679) Lt: 5.954 (5.953) Accm: 2.85 (2.82) Acct: 4.34 (4.39) proj_loss: -0.5937 (-0.5968) time: 0.3621 data: 0.0003 [11-24 13:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:31 tlr: 6.6e-05 tnm: 0.52 Lm: 6.783 (6.754) Lt: 6.093 (6.069) Accm: 2.60 (2.78) Acct: 3.99 (4.25) proj_loss: -0.6116 (-0.6108) time: 0.3621 data: 0.0003 [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.53 Lm: 6.778 (6.716) Lt: 6.083 (6.015) Accm: 2.64 (2.86) Acct: 4.03 (4.36) proj_loss: -0.6056 (-0.6044) time: 0.3662 data: 0.0016 [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:05 (0.363 s / it) [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.53 Lm: 6.629 (6.676) Lt: 5.861 (5.915) Accm: 3.22 (3.04) Acct: 4.84 (4.78) proj_loss: -0.5975 (-0.5989) time: 0.3662 data: 0.0016 [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.53 Lm: 6.637 (6.642) Lt: 5.939 (5.906) Accm: 2.90 (3.02) Acct: 4.49 (4.69) proj_loss: -0.5956 (-0.5977) time: 0.3662 data: 0.0020 [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.53 Lm: 6.734 (6.734) Lt: 6.048 (6.034) Accm: 2.86 (2.78) Acct: 4.22 (4.26) proj_loss: -0.6023 (-0.6022) time: 0.3662 data: 0.0019 [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:05 (0.363 s / it) [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:05 (0.363 s / it) [11-24 13:16:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:05 (0.363 s / it) [11-24 13:16:02] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:46:26, Finish: 2024-11-24 12:02 [11-24 13:16:02] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:46:17, Finish: 2024-11-24 12:02 [11-24 13:16:02] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:46:29, Finish: 2024-11-24 12:02 [11-24 13:16:02] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:46:27, Finish: 2024-11-24 12:02 [11-24 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:31 tlr: 6.6e-05 tnm: 0.51 Lm: 6.839 (6.839) Lt: 6.145 (6.145) Accm: 2.70 (2.70) Acct: 4.18 (4.18) proj_loss: -0.6141 (-0.6141) time: 0.3422 data: 0.0004 [11-24 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:30 tlr: 6.6e-05 tnm: 0.51 Lm: 6.646 (6.646) Lt: 5.894 (5.894) Accm: 2.85 (2.85) Acct: 4.48 (4.48) proj_loss: -0.6095 (-0.6095) time: 0.3418 data: 0.0004 [11-24 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:34 tlr: 6.6e-05 tnm: 0.51 Lm: 6.994 (6.994) Lt: 6.405 (6.405) Accm: 2.15 (2.15) Acct: 3.29 (3.29) proj_loss: -0.6274 (-0.6274) time: 0.3442 data: 0.0004 [11-24 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:34 tlr: 6.6e-05 tnm: 0.51 Lm: 6.649 (6.649) Lt: 5.949 (5.949) Accm: 2.64 (2.64) Acct: 4.20 (4.20) proj_loss: -0.6056 (-0.6056) time: 0.3443 data: 0.0003 [11-24 13:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-05 tnm: 0.51 Lm: 6.699 (6.699) Lt: 6.021 (6.021) Accm: 2.74 (2.74) Acct: 4.30 (4.30) proj_loss: -0.6059 (-0.6059) time: 0.3625 data: 0.0003 [11-24 13:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-05 tnm: 0.51 Lm: 6.700 (6.700) Lt: 5.992 (5.992) Accm: 3.00 (3.00) Acct: 4.71 (4.71) proj_loss: -0.6013 (-0.6013) time: 0.3625 data: 0.0003 [11-24 13:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-05 tnm: 0.51 Lm: 6.752 (6.752) Lt: 6.030 (6.030) Accm: 2.68 (2.68) Acct: 4.31 (4.31) proj_loss: -0.5986 (-0.5986) time: 0.3625 data: 0.0003 [11-24 13:18:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-05 tnm: 0.51 Lm: 6.855 (6.855) Lt: 6.214 (6.214) Accm: 2.48 (2.48) Acct: 3.87 (3.87) proj_loss: -0.6119 (-0.6119) time: 0.3625 data: 0.0003 [11-24 13:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.717 (6.807) Lt: 6.023 (6.136) Accm: 2.80 (2.59) Acct: 4.44 (4.06) proj_loss: -0.6158 (-0.6132) time: 0.3625 data: 0.0002 [11-24 13:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.649 (6.679) Lt: 5.949 (5.967) Accm: 2.85 (2.94) Acct: 4.41 (4.70) proj_loss: -0.6056 (-0.6051) time: 0.3625 data: 0.0002 [11-24 13:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.719 (6.707) Lt: 5.970 (5.985) Accm: 2.99 (3.00) Acct: 4.86 (4.76) proj_loss: -0.6055 (-0.6027) time: 0.3625 data: 0.0002 [11-24 13:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.768 (6.758) Lt: 6.047 (6.036) Accm: 2.55 (2.63) Acct: 4.15 (4.21) proj_loss: -0.6095 (-0.6027) time: 0.3625 data: 0.0003 [11-24 13:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.54 Lm: 6.717 (6.735) Lt: 5.982 (6.006) Accm: 2.70 (2.69) Acct: 4.31 (4.30) proj_loss: -0.6102 (-0.6061) time: 0.3610 data: 0.0002 [11-24 13:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.54 Lm: 6.765 (6.809) Lt: 6.074 (6.134) Accm: 2.68 (2.58) Acct: 4.24 (4.05) proj_loss: -0.6088 (-0.6103) time: 0.3610 data: 0.0002 [11-24 13:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.54 Lm: 6.698 (6.699) Lt: 5.958 (5.975) Accm: 2.97 (2.98) Acct: 4.70 (4.70) proj_loss: -0.6023 (-0.6018) time: 0.3610 data: 0.0003 [11-24 13:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.54 Lm: 6.699 (6.698) Lt: 6.007 (5.991) Accm: 2.86 (2.92) Acct: 4.49 (4.67) proj_loss: -0.6045 (-0.5953) time: 0.3610 data: 0.0002 [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.52 Lm: 6.649 (6.684) Lt: 5.949 (5.980) Accm: 2.88 (2.96) Acct: 4.58 (4.69) proj_loss: -0.6056 (-0.5980) time: 0.3658 data: 0.0019 [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:19 (0.371 s / it) [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.52 Lm: 6.678 (6.680) Lt: 5.946 (5.943) Accm: 2.99 (3.08) Acct: 4.86 (4.82) proj_loss: -0.5991 (-0.6006) time: 0.3658 data: 0.0021 [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.52 Lm: 6.768 (6.742) Lt: 6.047 (6.017) Accm: 2.80 (2.71) Acct: 4.48 (4.37) proj_loss: -0.6095 (-0.6054) time: 0.3658 data: 0.0014 [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.52 Lm: 6.717 (6.781) Lt: 6.023 (6.098) Accm: 2.80 (2.63) Acct: 4.08 (4.06) proj_loss: -0.6053 (-0.6093) time: 0.3658 data: 0.0017 [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:19 (0.371 s / it) [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:19 (0.371 s / it) [11-24 13:26:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:19 (0.371 s / it) [11-24 13:26:22] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.002), Acc m&t: 2.90 4.52, Remain: 14:38:02, Finish: 2024-11-24 12:04 [11-24 13:26:22] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.002), Acc m&t: 2.90 4.52, Remain: 14:38:27, Finish: 2024-11-24 12:04 [11-24 13:26:22] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.002), Acc m&t: 2.90 4.52, Remain: 14:38:35, Finish: 2024-11-24 12:04 [11-24 13:26:22] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.692 (6.710), Lt: 5.981 (6.002), Acc m&t: 2.90 4.52, Remain: 14:38:16, Finish: 2024-11-24 12:04 [11-24 13:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:34 tlr: 6.5e-05 tnm: 0.53 Lm: 6.770 (6.770) Lt: 6.132 (6.132) Accm: 2.45 (2.45) Acct: 3.63 (3.63) proj_loss: -0.6254 (-0.6254) time: 0.3440 data: 0.0003 [11-24 13:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:35 tlr: 6.5e-05 tnm: 0.53 Lm: 6.408 (6.408) Lt: 5.682 (5.682) Accm: 3.46 (3.46) Acct: 5.56 (5.56) proj_loss: -0.6160 (-0.6160) time: 0.3451 data: 0.0004 [11-24 13:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:35 tlr: 6.5e-05 tnm: 0.53 Lm: 6.755 (6.755) Lt: 6.057 (6.057) Accm: 2.47 (2.47) Acct: 3.91 (3.91) proj_loss: -0.6133 (-0.6133) time: 0.3448 data: 0.0003 [11-24 13:26:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:35 tlr: 6.5e-05 tnm: 0.53 Lm: 6.590 (6.590) Lt: 5.864 (5.864) Accm: 3.15 (3.15) Acct: 4.99 (4.99) proj_loss: -0.5866 (-0.5866) time: 0.3449 data: 0.0003 [11-24 13:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:48 tlr: 6.5e-05 tnm: 0.52 Lm: 6.701 (6.701) Lt: 5.994 (5.994) Accm: 2.83 (2.83) Acct: 4.60 (4.60) proj_loss: -0.5961 (-0.5961) time: 0.4482 data: 0.0003 [11-24 13:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:48 tlr: 6.5e-05 tnm: 0.52 Lm: 6.676 (6.676) Lt: 6.024 (6.024) Accm: 2.94 (2.94) Acct: 4.44 (4.44) proj_loss: -0.6246 (-0.6246) time: 0.4482 data: 0.0003 [11-24 13:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:49 tlr: 6.5e-05 tnm: 0.52 Lm: 6.588 (6.588) Lt: 5.880 (5.880) Accm: 3.02 (3.02) Acct: 4.71 (4.71) proj_loss: -0.6094 (-0.6094) time: 0.4482 data: 0.0003 [11-24 13:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:48 tlr: 6.5e-05 tnm: 0.52 Lm: 6.691 (6.691) Lt: 6.012 (6.012) Accm: 2.66 (2.66) Acct: 4.14 (4.14) proj_loss: -0.6077 (-0.6077) time: 0.4482 data: 0.0003 [11-24 13:31:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:13 tlr: 6.5e-05 tnm: 0.52 Lm: 6.663 (6.682) Lt: 5.968 (5.980) Accm: 2.84 (2.77) Acct: 4.37 (4.37) proj_loss: -0.6021 (-0.6040) time: 0.3630 data: 0.0002 [11-24 13:31:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:13 tlr: 6.5e-05 tnm: 0.52 Lm: 6.768 (6.648) Lt: 6.078 (5.961) Accm: 2.75 (2.93) Acct: 4.51 (4.64) proj_loss: -0.6027 (-0.6058) time: 0.3630 data: 0.0003 [11-24 13:31:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:13 tlr: 6.5e-05 tnm: 0.52 Lm: 6.770 (6.719) Lt: 6.079 (6.042) Accm: 2.81 (2.90) Acct: 4.60 (4.49) proj_loss: -0.6238 (-0.6111) time: 0.3631 data: 0.0003 [11-24 13:31:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:13 tlr: 6.5e-05 tnm: 0.52 Lm: 6.617 (6.673) Lt: 5.882 (5.957) Accm: 2.92 (2.86) Acct: 4.44 (4.55) proj_loss: -0.6055 (-0.6001) time: 0.3630 data: 0.0004 [11-24 13:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:35 tlr: 6.5e-05 tnm: 0.57 Lm: 6.635 (6.668) Lt: 5.915 (5.955) Accm: 2.90 (2.87) Acct: 4.36 (4.48) proj_loss: -0.6026 (-0.6000) time: 0.3600 data: 0.0003 [11-24 13:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:35 tlr: 6.5e-05 tnm: 0.57 Lm: 6.768 (6.691) Lt: 6.088 (5.995) Accm: 2.75 (2.88) Acct: 4.38 (4.55) proj_loss: -0.6007 (-0.6004) time: 0.3600 data: 0.0002 [11-24 13:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:35 tlr: 6.5e-05 tnm: 0.57 Lm: 6.665 (6.678) Lt: 5.942 (5.952) Accm: 2.88 (2.81) Acct: 4.57 (4.47) proj_loss: -0.5993 (-0.5960) time: 0.3600 data: 0.0002 [11-24 13:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:35 tlr: 6.5e-05 tnm: 0.57 Lm: 6.728 (6.711) Lt: 6.047 (6.036) Accm: 2.95 (2.95) Acct: 4.63 (4.54) proj_loss: -0.6046 (-0.6047) time: 0.3600 data: 0.0003 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.686 (6.688) Lt: 6.015 (5.997) Accm: 3.09 (2.97) Acct: 4.67 (4.61) proj_loss: -0.5855 (-0.5990) time: 0.3635 data: 0.0022 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:18 (0.371 s / it) [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.768 (6.703) Lt: 6.088 (6.014) Accm: 2.76 (2.87) Acct: 4.51 (4.57) proj_loss: -0.6027 (-0.6052) time: 0.3635 data: 0.0016 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.667 (6.694) Lt: 5.968 (5.976) Accm: 2.84 (2.75) Acct: 4.37 (4.44) proj_loss: -0.6021 (-0.5982) time: 0.3635 data: 0.0016 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.653 (6.679) Lt: 5.949 (5.962) Accm: 2.88 (2.86) Acct: 4.44 (4.56) proj_loss: -0.5997 (-0.5984) time: 0.3635 data: 0.0021 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:18 (0.371 s / it) [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:18 (0.371 s / it) [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:18 (0.371 s / it) [11-24 13:36:41] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:23:32, Finish: 2024-11-24 12:00 [11-24 13:36:41] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:23:03, Finish: 2024-11-24 11:59 [11-24 13:36:41] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:22:39, Finish: 2024-11-24 11:59 [11-24 13:36:41] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.692 (6.697), Lt: 5.981 (5.982), Acc m&t: 2.90 4.52, Remain: 14:22:48, Finish: 2024-11-24 11:59 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:09:31 tlr: 6.4e-05 tnm: 0.52 Lm: 6.768 (6.768) Lt: 6.076 (6.076) Accm: 2.62 (2.62) Acct: 4.13 (4.13) proj_loss: -0.6107 (-0.6107) time: 0.3425 data: 0.0003 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:09:35 tlr: 6.4e-05 tnm: 0.52 Lm: 6.734 (6.734) Lt: 6.036 (6.036) Accm: 2.62 (2.62) Acct: 4.34 (4.34) proj_loss: -0.6070 (-0.6070) time: 0.3448 data: 0.0003 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:09:33 tlr: 6.4e-05 tnm: 0.52 Lm: 6.667 (6.667) Lt: 5.961 (5.961) Accm: 3.07 (3.07) Acct: 4.75 (4.75) proj_loss: -0.6126 (-0.6126) time: 0.3435 data: 0.0004 [11-24 13:36:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:09:38 tlr: 6.4e-05 tnm: 0.52 Lm: 6.709 (6.709) Lt: 5.979 (5.979) Accm: 2.96 (2.96) Acct: 4.72 (4.72) proj_loss: -0.5774 (-0.5774) time: 0.3467 data: 0.0004 [11-24 13:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:33 tlr: 6.4e-05 tnm: 0.52 Lm: 6.735 (6.735) Lt: 6.041 (6.041) Accm: 2.81 (2.81) Acct: 4.52 (4.52) proj_loss: -0.5914 (-0.5914) time: 0.3621 data: 0.0003 [11-24 13:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:33 tlr: 6.4e-05 tnm: 0.52 Lm: 6.719 (6.719) Lt: 6.040 (6.040) Accm: 2.86 (2.86) Acct: 4.29 (4.29) proj_loss: -0.6111 (-0.6111) time: 0.3621 data: 0.0003 [11-24 13:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:33 tlr: 6.4e-05 tnm: 0.52 Lm: 6.725 (6.725) Lt: 6.027 (6.027) Accm: 2.80 (2.80) Acct: 4.47 (4.47) proj_loss: -0.6050 (-0.6050) time: 0.3621 data: 0.0003 [11-24 13:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:33 tlr: 6.4e-05 tnm: 0.52 Lm: 6.812 (6.812) Lt: 6.123 (6.123) Accm: 2.56 (2.56) Acct: 4.04 (4.04) proj_loss: -0.5984 (-0.5984) time: 0.3621 data: 0.0003 [11-24 13:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:02 tlr: 6.4e-05 tnm: 0.53 Lm: 6.768 (6.770) Lt: 6.076 (6.077) Accm: 2.62 (2.70) Acct: 4.13 (4.23) proj_loss: -0.6017 (-0.5995) time: 0.3618 data: 0.0003 [11-24 13:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:02 tlr: 6.4e-05 tnm: 0.53 Lm: 6.729 (6.722) Lt: 6.036 (6.038) Accm: 2.90 (2.87) Acct: 4.61 (4.40) proj_loss: -0.6126 (-0.6131) time: 0.3618 data: 0.0003 [11-24 13:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:02 tlr: 6.4e-05 tnm: 0.53 Lm: 6.717 (6.722) Lt: 6.033 (6.029) Accm: 2.86 (2.82) Acct: 4.37 (4.44) proj_loss: -0.6070 (-0.6070) time: 0.3618 data: 0.0002 [11-24 13:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:02 tlr: 6.4e-05 tnm: 0.53 Lm: 6.709 (6.688) Lt: 5.979 (5.974) Accm: 2.96 (2.97) Acct: 4.72 (4.67) proj_loss: -0.5948 (-0.5926) time: 0.3618 data: 0.0002 [11-24 13:44:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:31 tlr: 6.4e-05 tnm: 0.52 Lm: 6.735 (6.708) Lt: 5.998 (5.985) Accm: 2.83 (2.90) Acct: 4.66 (4.65) proj_loss: -0.6002 (-0.5969) time: 0.3626 data: 0.0003 [11-24 13:44:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:31 tlr: 6.4e-05 tnm: 0.52 Lm: 6.698 (6.676) Lt: 5.999 (5.965) Accm: 2.99 (2.98) Acct: 4.68 (4.64) proj_loss: -0.6111 (-0.6088) time: 0.3626 data: 0.0003 [11-24 13:44:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:31 tlr: 6.4e-05 tnm: 0.52 Lm: 6.801 (6.787) Lt: 6.114 (6.096) Accm: 2.56 (2.63) Acct: 4.04 (4.14) proj_loss: -0.6050 (-0.6017) time: 0.3626 data: 0.0003 [11-24 13:44:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:31 tlr: 6.4e-05 tnm: 0.52 Lm: 6.725 (6.750) Lt: 6.035 (6.063) Accm: 2.74 (2.73) Acct: 4.36 (4.28) proj_loss: -0.6066 (-0.6068) time: 0.3626 data: 0.0003 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.717 (6.736) Lt: 6.033 (6.046) Accm: 2.70 (2.72) Acct: 4.34 (4.27) proj_loss: -0.6062 (-0.6043) time: 0.3647 data: 0.0016 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:04 (0.362 s / it) [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.667 (6.629) Lt: 5.961 (5.910) Accm: 3.07 (3.16) Acct: 4.75 (4.93) proj_loss: -0.6126 (-0.6109) time: 0.3647 data: 0.0021 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.768 (6.757) Lt: 6.076 (6.058) Accm: 2.62 (2.69) Acct: 4.13 (4.21) proj_loss: -0.6017 (-0.6007) time: 0.3647 data: 0.0015 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.51 Lm: 6.728 (6.712) Lt: 6.017 (5.998) Accm: 2.79 (2.88) Acct: 4.60 (4.59) proj_loss: -0.6055 (-0.6014) time: 0.3647 data: 0.0020 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:04 (0.362 s / it) [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:04 (0.362 s / it) [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:04 (0.362 s / it) [11-24 13:46:46] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.692 (6.702), Lt: 5.981 (5.992), Acc m&t: 2.90 4.52, Remain: 14:16:45, Finish: 2024-11-24 12:03 [11-24 13:46:46] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.692 (6.702), Lt: 5.981 (5.992), Acc m&t: 2.90 4.52, Remain: 14:16:21, Finish: 2024-11-24 12:03 [11-24 13:46:46] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.692 (6.702), Lt: 5.981 (5.992), Acc m&t: 2.90 4.52, Remain: 14:16:22, Finish: 2024-11-24 12:03 [11-24 13:46:46] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.692 (6.702), Lt: 5.981 (5.992), Acc m&t: 2.90 4.52, Remain: 14:16:35, Finish: 2024-11-24 12:03 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:54 tlr: 6.4e-05 tnm: 0.54 Lm: 6.798 (6.798) Lt: 6.100 (6.100) Accm: 2.70 (2.70) Acct: 4.27 (4.27) proj_loss: -0.5939 (-0.5939) time: 0.3560 data: 0.0004 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:52 tlr: 6.4e-05 tnm: 0.54 Lm: 6.781 (6.781) Lt: 6.068 (6.068) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5917 (-0.5917) time: 0.3548 data: 0.0003 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:55 tlr: 6.4e-05 tnm: 0.54 Lm: 6.606 (6.606) Lt: 5.896 (5.896) Accm: 2.96 (2.96) Acct: 4.36 (4.36) proj_loss: -0.6242 (-0.6242) time: 0.3570 data: 0.0003 [11-24 13:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:55 tlr: 6.4e-05 tnm: 0.54 Lm: 6.613 (6.613) Lt: 5.940 (5.940) Accm: 3.47 (3.47) Acct: 5.65 (5.65) proj_loss: -0.6126 (-0.6126) time: 0.3569 data: 0.0004 [11-24 13:49:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:34 tlr: 6.3e-05 tnm: 0.53 Lm: 6.634 (6.634) Lt: 5.952 (5.952) Accm: 3.38 (3.38) Acct: 5.28 (5.28) proj_loss: -0.6021 (-0.6021) time: 0.3622 data: 0.0003 [11-24 13:49:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:34 tlr: 6.3e-05 tnm: 0.53 Lm: 6.720 (6.720) Lt: 5.998 (5.998) Accm: 2.84 (2.84) Acct: 4.28 (4.28) proj_loss: -0.6125 (-0.6125) time: 0.3622 data: 0.0003 [11-24 13:49:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:34 tlr: 6.3e-05 tnm: 0.53 Lm: 6.730 (6.730) Lt: 5.998 (5.998) Accm: 2.83 (2.83) Acct: 4.65 (4.65) proj_loss: -0.5930 (-0.5930) time: 0.3622 data: 0.0003 [11-24 13:49:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:34 tlr: 6.3e-05 tnm: 0.53 Lm: 6.694 (6.694) Lt: 6.010 (6.010) Accm: 3.00 (3.00) Acct: 4.62 (4.62) proj_loss: -0.6015 (-0.6015) time: 0.3622 data: 0.0002 [11-24 13:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:06 tlr: 6.3e-05 tnm: 0.53 Lm: 6.702 (6.697) Lt: 5.943 (5.988) Accm: 3.06 (3.02) Acct: 4.92 (4.72) proj_loss: -0.6091 (-0.6045) time: 0.3649 data: 0.0003 [11-24 13:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:06 tlr: 6.3e-05 tnm: 0.53 Lm: 6.781 (6.759) Lt: 6.068 (6.027) Accm: 2.65 (2.77) Acct: 4.18 (4.48) proj_loss: -0.5917 (-0.5920) time: 0.3649 data: 0.0003 [11-24 13:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:06 tlr: 6.3e-05 tnm: 0.53 Lm: 6.655 (6.715) Lt: 5.964 (6.039) Accm: 3.29 (3.10) Acct: 4.91 (4.88) proj_loss: -0.6053 (-0.6032) time: 0.3649 data: 0.0002 [11-24 13:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:06 tlr: 6.3e-05 tnm: 0.53 Lm: 6.785 (6.742) Lt: 6.090 (6.029) Accm: 2.72 (2.74) Acct: 4.20 (4.16) proj_loss: -0.6008 (-0.6026) time: 0.3649 data: 0.0002 [11-24 13:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:34 tlr: 6.3e-05 tnm: 0.55 Lm: 6.736 (6.728) Lt: 6.026 (6.012) Accm: 2.84 (2.80) Acct: 4.28 (4.31) proj_loss: -0.6048 (-0.6042) time: 0.4063 data: 0.0005 [11-24 13:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:34 tlr: 6.3e-05 tnm: 0.55 Lm: 6.730 (6.721) Lt: 5.998 (5.993) Accm: 2.83 (2.83) Acct: 4.43 (4.53) proj_loss: -0.5930 (-0.5957) time: 0.4063 data: 0.0003 [11-24 13:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:34 tlr: 6.3e-05 tnm: 0.55 Lm: 6.699 (6.722) Lt: 6.028 (6.052) Accm: 2.96 (2.98) Acct: 4.49 (4.68) proj_loss: -0.6080 (-0.6050) time: 0.4063 data: 0.0003 [11-24 13:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:34 tlr: 6.3e-05 tnm: 0.55 Lm: 6.677 (6.685) Lt: 5.936 (5.973) Accm: 3.12 (3.06) Acct: 4.95 (4.79) proj_loss: -0.6061 (-0.6042) time: 0.4063 data: 0.0003 [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.52 Lm: 6.702 (6.699) Lt: 5.943 (5.989) Accm: 3.06 (2.98) Acct: 4.92 (4.72) proj_loss: -0.6032 (-0.6039) time: 0.3662 data: 0.0018 [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:21 (0.373 s / it) [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.52 Lm: 6.747 (6.726) Lt: 6.053 (6.005) Accm: 2.71 (2.80) Acct: 4.29 (4.48) proj_loss: -0.5943 (-0.5963) time: 0.3662 data: 0.0016 [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.52 Lm: 6.655 (6.688) Lt: 5.964 (6.013) Accm: 3.06 (3.00) Acct: 4.67 (4.68) proj_loss: -0.6053 (-0.6000) time: 0.3662 data: 0.0019 [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.52 Lm: 6.752 (6.733) Lt: 5.996 (6.009) Accm: 2.72 (2.78) Acct: 4.20 (4.29) proj_loss: -0.6008 (-0.6018) time: 0.3662 data: 0.0016 [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:21 (0.373 s / it) [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:21 (0.373 s / it) [11-24 13:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:21 (0.373 s / it) [11-24 13:57:07] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.692 (6.703), Lt: 5.981 (6.000), Acc m&t: 2.90 4.52, Remain: 14:07:00, Finish: 2024-11-24 12:04 [11-24 13:57:07] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.692 (6.703), Lt: 5.981 (6.000), Acc m&t: 2.90 4.52, Remain: 14:06:43, Finish: 2024-11-24 12:03 [11-24 13:57:07] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.692 (6.703), Lt: 5.981 (6.000), Acc m&t: 2.90 4.52, Remain: 14:06:36, Finish: 2024-11-24 12:03 [11-24 13:57:07] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.692 (6.703), Lt: 5.981 (6.000), Acc m&t: 2.90 4.52, Remain: 14:06:26, Finish: 2024-11-24 12:03 [11-24 13:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:10:13 tlr: 6.3e-05 tnm: 0.52 Lm: 6.747 (6.747) Lt: 6.105 (6.105) Accm: 2.70 (2.70) Acct: 3.98 (3.98) proj_loss: -0.6123 (-0.6123) time: 0.3677 data: 0.0003 [11-24 13:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:10:18 tlr: 6.3e-05 tnm: 0.52 Lm: 6.838 (6.838) Lt: 6.075 (6.075) Accm: 2.67 (2.67) Acct: 4.22 (4.22) proj_loss: -0.5829 (-0.5829) time: 0.3705 data: 0.0004 [11-24 13:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:10:15 tlr: 6.3e-05 tnm: 0.52 Lm: 6.750 (6.750) Lt: 6.053 (6.053) Accm: 2.86 (2.86) Acct: 4.56 (4.56) proj_loss: -0.5895 (-0.5895) time: 0.3686 data: 0.0004 [11-24 13:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:10:15 tlr: 6.3e-05 tnm: 0.52 Lm: 6.813 (6.813) Lt: 6.139 (6.139) Accm: 2.50 (2.50) Acct: 3.51 (3.51) proj_loss: -0.5891 (-0.5891) time: 0.3688 data: 0.0004 [11-24 13:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:53 tlr: 6.3e-05 tnm: 0.52 Lm: 6.777 (6.777) Lt: 6.089 (6.089) Accm: 2.63 (2.63) Acct: 3.95 (3.95) proj_loss: -0.5981 (-0.5981) time: 0.3624 data: 0.0003 [11-24 13:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:53 tlr: 6.3e-05 tnm: 0.52 Lm: 6.785 (6.785) Lt: 6.028 (6.028) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: -0.5805 (-0.5805) time: 0.3624 data: 0.0002 [11-24 13:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:53 tlr: 6.3e-05 tnm: 0.52 Lm: 6.734 (6.734) Lt: 6.055 (6.055) Accm: 2.65 (2.65) Acct: 4.02 (4.02) proj_loss: -0.6071 (-0.6071) time: 0.3624 data: 0.0003 [11-24 13:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:53 tlr: 6.3e-05 tnm: 0.52 Lm: 6.687 (6.687) Lt: 5.980 (5.980) Accm: 3.07 (3.07) Acct: 4.84 (4.84) proj_loss: -0.5918 (-0.5918) time: 0.3624 data: 0.0002 [11-24 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:12 tlr: 6.3e-05 tnm: 0.53 Lm: 6.624 (6.621) Lt: 5.907 (5.896) Accm: 3.29 (3.20) Acct: 5.11 (5.00) proj_loss: -0.5940 (-0.6010) time: 0.3634 data: 0.0002 [11-24 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:12 tlr: 6.3e-05 tnm: 0.53 Lm: 6.742 (6.730) Lt: 6.038 (6.043) Accm: 2.75 (2.77) Acct: 4.39 (4.21) proj_loss: -0.6071 (-0.6032) time: 0.3634 data: 0.0002 [11-24 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:12 tlr: 6.3e-05 tnm: 0.53 Lm: 6.732 (6.723) Lt: 5.980 (5.971) Accm: 2.82 (2.92) Acct: 4.42 (4.56) proj_loss: -0.5829 (-0.5892) time: 0.3634 data: 0.0003 [11-24 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:12 tlr: 6.3e-05 tnm: 0.53 Lm: 6.747 (6.752) Lt: 6.105 (6.074) Accm: 2.70 (2.67) Acct: 3.98 (3.94) proj_loss: -0.6019 (-0.5987) time: 0.3634 data: 0.0003 [11-24 14:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.738 (6.731) Lt: 6.019 (6.032) Accm: 2.75 (2.76) Acct: 4.35 (4.23) proj_loss: -0.6103 (-0.6059) time: 0.3609 data: 0.0002 [11-24 14:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.665 (6.686) Lt: 5.952 (5.960) Accm: 2.91 (2.94) Acct: 4.42 (4.53) proj_loss: -0.5948 (-0.5961) time: 0.3609 data: 0.0003 [11-24 14:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.687 (6.657) Lt: 5.980 (5.946) Accm: 3.07 (3.06) Acct: 4.84 (4.86) proj_loss: -0.6021 (-0.6033) time: 0.3609 data: 0.0003 [11-24 14:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.734 (6.726) Lt: 6.055 (6.040) Accm: 2.70 (2.78) Acct: 4.02 (4.22) proj_loss: -0.5987 (-0.5979) time: 0.3609 data: 0.0003 [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.52 Lm: 6.747 (6.739) Lt: 6.094 (6.051) Accm: 2.70 (2.77) Acct: 4.06 (4.27) proj_loss: -0.5956 (-0.5940) time: 0.3651 data: 0.0016 [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:16 (0.370 s / it) [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.52 Lm: 6.660 (6.681) Lt: 5.924 (5.952) Accm: 3.00 (2.99) Acct: 4.42 (4.64) proj_loss: -0.6016 (-0.5972) time: 0.3651 data: 0.0017 [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.52 Lm: 6.742 (6.736) Lt: 6.028 (6.032) Accm: 2.75 (2.70) Acct: 4.30 (4.18) proj_loss: -0.6071 (-0.6040) time: 0.3651 data: 0.0017 [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.52 Lm: 6.648 (6.655) Lt: 5.937 (5.944) Accm: 2.86 (3.01) Acct: 4.56 (4.77) proj_loss: -0.6101 (-0.6049) time: 0.3650 data: 0.0018 [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:16 (0.370 s / it) [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:16 (0.370 s / it) [11-24 14:07:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:16 (0.370 s / it) [11-24 14:07:24] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.692 (6.699), Lt: 5.981 (5.992), Acc m&t: 2.90 4.54, Remain: 13:54:01, Finish: 2024-11-24 12:01 [11-24 14:07:24] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.692 (6.699), Lt: 5.981 (5.992), Acc m&t: 2.90 4.54, Remain: 13:54:06, Finish: 2024-11-24 12:01 [11-24 14:07:24] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.692 (6.699), Lt: 5.981 (5.992), Acc m&t: 2.90 4.54, Remain: 13:54:27, Finish: 2024-11-24 12:01 [11-24 14:07:24] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.692 (6.699), Lt: 5.981 (5.992), Acc m&t: 2.90 4.54, Remain: 13:53:48, Finish: 2024-11-24 12:01 [11-24 14:07:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:53 tlr: 6.2e-05 tnm: 0.55 Lm: 6.690 (6.690) Lt: 5.980 (5.980) Accm: 3.10 (3.10) Acct: 4.87 (4.87) proj_loss: -0.6002 (-0.6002) time: 0.3553 data: 0.0004 [11-24 14:07:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:55 tlr: 6.2e-05 tnm: 0.55 Lm: 6.624 (6.624) Lt: 5.899 (5.899) Accm: 3.53 (3.53) Acct: 5.51 (5.51) proj_loss: -0.6128 (-0.6128) time: 0.3567 data: 0.0003 [11-24 14:07:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:55 tlr: 6.2e-05 tnm: 0.55 Lm: 6.702 (6.702) Lt: 5.989 (5.989) Accm: 2.86 (2.86) Acct: 4.53 (4.53) proj_loss: -0.6147 (-0.6147) time: 0.3567 data: 0.0004 [11-24 14:07:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:56 tlr: 6.2e-05 tnm: 0.55 Lm: 6.693 (6.693) Lt: 5.983 (5.983) Accm: 2.89 (2.89) Acct: 4.77 (4.77) proj_loss: -0.6190 (-0.6190) time: 0.3571 data: 0.0004 [11-24 14:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:34 tlr: 6.2e-05 tnm: 0.54 Lm: 6.670 (6.670) Lt: 5.948 (5.948) Accm: 2.98 (2.98) Acct: 4.78 (4.78) proj_loss: -0.6147 (-0.6147) time: 0.3628 data: 0.0002 [11-24 14:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:34 tlr: 6.2e-05 tnm: 0.54 Lm: 6.716 (6.716) Lt: 6.008 (6.008) Accm: 2.86 (2.86) Acct: 4.44 (4.44) proj_loss: -0.6034 (-0.6034) time: 0.3628 data: 0.0003 [11-24 14:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:34 tlr: 6.2e-05 tnm: 0.54 Lm: 6.703 (6.703) Lt: 6.014 (6.014) Accm: 3.14 (3.14) Acct: 4.82 (4.82) proj_loss: -0.6057 (-0.6057) time: 0.3628 data: 0.0002 [11-24 14:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:34 tlr: 6.2e-05 tnm: 0.54 Lm: 6.706 (6.706) Lt: 5.969 (5.969) Accm: 2.93 (2.93) Acct: 4.72 (4.72) proj_loss: -0.5939 (-0.5939) time: 0.3627 data: 0.0003 [11-24 14:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:02 tlr: 6.2e-05 tnm: 0.54 Lm: 6.723 (6.729) Lt: 5.980 (6.008) Accm: 2.77 (2.81) Acct: 4.56 (4.60) proj_loss: -0.6002 (-0.5974) time: 0.3623 data: 0.0003 [11-24 14:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:02 tlr: 6.2e-05 tnm: 0.54 Lm: 6.693 (6.693) Lt: 5.983 (5.982) Accm: 2.89 (2.90) Acct: 4.77 (4.57) proj_loss: -0.6103 (-0.6109) time: 0.3623 data: 0.0002 [11-24 14:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:02 tlr: 6.2e-05 tnm: 0.54 Lm: 6.702 (6.666) Lt: 5.989 (5.949) Accm: 2.86 (2.96) Acct: 4.53 (4.61) proj_loss: -0.5922 (-0.5996) time: 0.3624 data: 0.0003 [11-24 14:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:02 tlr: 6.2e-05 tnm: 0.54 Lm: 6.688 (6.698) Lt: 5.972 (6.000) Accm: 2.92 (3.07) Acct: 4.61 (4.75) proj_loss: -0.5987 (-0.5981) time: 0.3624 data: 0.0002 [11-24 14:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:31 tlr: 6.2e-05 tnm: 0.55 Lm: 6.674 (6.688) Lt: 5.956 (5.985) Accm: 2.90 (3.02) Acct: 4.60 (4.71) proj_loss: -0.6057 (-0.6031) time: 0.3661 data: 0.0002 [11-24 14:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:31 tlr: 6.2e-05 tnm: 0.55 Lm: 6.688 (6.668) Lt: 5.968 (5.949) Accm: 2.86 (2.91) Acct: 4.45 (4.55) proj_loss: -0.6034 (-0.6055) time: 0.3661 data: 0.0003 [11-24 14:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:31 tlr: 6.2e-05 tnm: 0.55 Lm: 6.670 (6.681) Lt: 5.948 (5.950) Accm: 2.85 (2.88) Acct: 4.71 (4.59) proj_loss: -0.6069 (-0.6075) time: 0.3661 data: 0.0003 [11-24 14:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:31 tlr: 6.2e-05 tnm: 0.55 Lm: 6.733 (6.732) Lt: 6.018 (6.020) Accm: 2.80 (2.82) Acct: 4.62 (4.62) proj_loss: -0.5948 (-0.5954) time: 0.3661 data: 0.0003 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.54 Lm: 6.736 (6.733) Lt: 6.047 (6.025) Accm: 2.77 (2.79) Acct: 4.56 (4.54) proj_loss: -0.6002 (-0.5975) time: 0.3651 data: 0.0017 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.54 Lm: 6.702 (6.684) Lt: 5.989 (5.978) Accm: 2.86 (2.88) Acct: 4.37 (4.44) proj_loss: -0.6029 (-0.6050) time: 0.3651 data: 0.0022 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.54 Lm: 6.688 (6.701) Lt: 5.972 (5.997) Accm: 2.88 (2.98) Acct: 4.58 (4.64) proj_loss: -0.5987 (-0.6000) time: 0.3651 data: 0.0017 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.54 Lm: 6.686 (6.682) Lt: 5.983 (5.960) Accm: 2.81 (2.86) Acct: 4.65 (4.52) proj_loss: -0.6034 (-0.6055) time: 0.3651 data: 0.0020 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:17:30] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.685 (6.685), Lt: 5.973 (5.973), Acc m&t: 2.91 4.56, Remain: 13:44:48, Finish: 2024-11-24 12:02 [11-24 14:17:30] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.685 (6.685), Lt: 5.973 (5.973), Acc m&t: 2.91 4.56, Remain: 13:44:43, Finish: 2024-11-24 12:02 [11-24 14:17:30] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.685 (6.685), Lt: 5.973 (5.973), Acc m&t: 2.91 4.56, Remain: 13:44:30, Finish: 2024-11-24 12:02 [11-24 14:17:30] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.685 (6.685), Lt: 5.973 (5.973), Acc m&t: 2.91 4.56, Remain: 13:44:55, Finish: 2024-11-24 12:02 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:09:58 tlr: 6.1e-05 tnm: 0.55 Lm: 6.544 (6.544) Lt: 5.823 (5.823) Accm: 3.30 (3.30) Acct: 4.92 (4.92) proj_loss: -0.6168 (-0.6168) time: 0.3584 data: 0.0004 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:09:58 tlr: 6.1e-05 tnm: 0.55 Lm: 6.749 (6.749) Lt: 6.047 (6.047) Accm: 2.66 (2.66) Acct: 3.94 (3.94) proj_loss: -0.5920 (-0.5920) time: 0.3587 data: 0.0003 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:10:01 tlr: 6.1e-05 tnm: 0.55 Lm: 6.742 (6.742) Lt: 5.981 (5.981) Accm: 2.75 (2.75) Acct: 4.44 (4.44) proj_loss: -0.6107 (-0.6107) time: 0.3603 data: 0.0004 [11-24 14:17:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:10:01 tlr: 6.1e-05 tnm: 0.55 Lm: 6.737 (6.737) Lt: 6.058 (6.058) Accm: 3.04 (3.04) Acct: 4.60 (4.60) proj_loss: -0.6109 (-0.6109) time: 0.3602 data: 0.0004 [11-24 14:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.53 Lm: 6.785 (6.785) Lt: 6.102 (6.102) Accm: 2.85 (2.85) Acct: 4.32 (4.32) proj_loss: -0.6034 (-0.6034) time: 0.3619 data: 0.0003 [11-24 14:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.53 Lm: 6.653 (6.653) Lt: 5.911 (5.911) Accm: 3.00 (3.00) Acct: 4.69 (4.69) proj_loss: -0.6087 (-0.6087) time: 0.3619 data: 0.0002 [11-24 14:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.53 Lm: 6.717 (6.717) Lt: 6.003 (6.003) Accm: 2.79 (2.79) Acct: 4.06 (4.06) proj_loss: -0.6033 (-0.6033) time: 0.3619 data: 0.0003 [11-24 14:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.53 Lm: 6.613 (6.613) Lt: 5.859 (5.859) Accm: 3.09 (3.09) Acct: 4.83 (4.83) proj_loss: -0.6020 (-0.6020) time: 0.3619 data: 0.0002 [11-24 14:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:07 tlr: 6.1e-05 tnm: 0.53 Lm: 6.552 (6.593) Lt: 5.857 (5.859) Accm: 3.30 (3.27) Acct: 4.92 (5.07) proj_loss: -0.6168 (-0.6076) time: 0.3636 data: 0.0003 [11-24 14:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:07 tlr: 6.1e-05 tnm: 0.53 Lm: 6.737 (6.703) Lt: 6.058 (6.009) Accm: 3.04 (2.98) Acct: 4.60 (4.51) proj_loss: -0.5959 (-0.5975) time: 0.3636 data: 0.0003 [11-24 14:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:07 tlr: 6.1e-05 tnm: 0.53 Lm: 6.685 (6.700) Lt: 5.959 (5.968) Accm: 2.91 (2.85) Acct: 4.18 (4.37) proj_loss: -0.6145 (-0.6083) time: 0.3636 data: 0.0003 [11-24 14:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:07 tlr: 6.1e-05 tnm: 0.53 Lm: 6.564 (6.601) Lt: 5.842 (5.849) Accm: 3.21 (3.07) Acct: 4.94 (4.87) proj_loss: -0.6107 (-0.6106) time: 0.3636 data: 0.0003 [11-24 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:35 tlr: 6.1e-05 tnm: 0.53 Lm: 6.649 (6.635) Lt: 5.911 (5.912) Accm: 2.99 (2.99) Acct: 4.69 (4.70) proj_loss: -0.6126 (-0.6128) time: 0.3630 data: 0.0003 [11-24 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:35 tlr: 6.1e-05 tnm: 0.53 Lm: 6.609 (6.611) Lt: 5.876 (5.884) Accm: 3.09 (3.15) Acct: 4.83 (4.90) proj_loss: -0.6077 (-0.6053) time: 0.3630 data: 0.0003 [11-24 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:35 tlr: 6.1e-05 tnm: 0.53 Lm: 6.638 (6.658) Lt: 5.941 (5.958) Accm: 3.14 (3.05) Acct: 4.73 (4.59) proj_loss: -0.6020 (-0.6001) time: 0.3630 data: 0.0003 [11-24 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:35 tlr: 6.1e-05 tnm: 0.53 Lm: 6.676 (6.671) Lt: 5.928 (5.927) Accm: 2.94 (2.91) Acct: 4.41 (4.43) proj_loss: -0.6033 (-0.6043) time: 0.3630 data: 0.0003 [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.667 (6.656) Lt: 5.896 (5.920) Accm: 2.97 (2.97) Acct: 4.63 (4.59) proj_loss: -0.5921 (-0.6010) time: 0.3633 data: 0.0016 [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:20 (0.372 s / it) [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.732 (6.673) Lt: 6.052 (5.977) Accm: 3.04 (2.97) Acct: 4.60 (4.45) proj_loss: -0.6018 (-0.6005) time: 0.3633 data: 0.0014 [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.665 (6.657) Lt: 5.895 (5.951) Accm: 2.88 (3.00) Acct: 4.73 (4.67) proj_loss: -0.6063 (-0.6055) time: 0.3633 data: 0.0017 [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.642 (6.636) Lt: 5.953 (5.921) Accm: 2.77 (2.94) Acct: 4.44 (4.64) proj_loss: -0.6107 (-0.6108) time: 0.3633 data: 0.0018 [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:20 (0.372 s / it) [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:20 (0.372 s / it) [11-24 14:27:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:20 (0.372 s / it) [11-24 14:30:08] (home/user/VAR/trainer.py, line 114)=> FID: 3.740547227983825 [11-24 14:30:08] (/home/user/VAR/train.py , line 259)=> [*] [ep269] (val 50000) Lm: 6.7035, Lt: 5.9923, Acc m&t: 2.86 4.45, Val cost: 137.68s [11-24 14:30:08] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 14:30:27] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.685 (6.704), Lt: 5.973 (5.992), Acc m&t: 2.91 4.56, Remain: 13:30:50, Finish: 2024-11-24 11:58 [11-24 14:30:27] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.685 (6.704), Lt: 5.973 (5.992), Acc m&t: 2.91 4.56, Remain: 13:30:47, Finish: 2024-11-24 11:58 [11-24 14:30:27] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.685 (6.704), Lt: 5.973 (5.992), Acc m&t: 2.91 4.56, Remain: 13:30:41, Finish: 2024-11-24 11:58 [11-24 14:30:27] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.685 (6.704), Lt: 5.973 (5.992), Acc m&t: 2.91 4.56, Remain: 13:30:58, Finish: 2024-11-24 11:58 [11-24 14:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:09:49 tlr: 6.1e-05 tnm: 0.52 Lm: 6.819 (6.819) Lt: 6.140 (6.140) Accm: 2.39 (2.39) Acct: 3.60 (3.60) proj_loss: -0.5964 (-0.5964) time: 0.3529 data: 0.0003 [11-24 14:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:09:48 tlr: 6.1e-05 tnm: 0.52 Lm: 6.708 (6.708) Lt: 6.044 (6.044) Accm: 2.72 (2.72) Acct: 4.27 (4.27) proj_loss: -0.6005 (-0.6005) time: 0.3525 data: 0.0004 [11-24 14:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:09:49 tlr: 6.1e-05 tnm: 0.52 Lm: 6.838 (6.838) Lt: 6.159 (6.159) Accm: 2.49 (2.49) Acct: 3.98 (3.98) proj_loss: -0.6049 (-0.6049) time: 0.3529 data: 0.0004 [11-24 14:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:09:55 tlr: 6.1e-05 tnm: 0.52 Lm: 6.555 (6.555) Lt: 5.802 (5.802) Accm: 3.63 (3.63) Acct: 5.97 (5.97) proj_loss: -0.6033 (-0.6033) time: 0.3568 data: 0.0004 [11-24 14:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:57 tlr: 6.1e-05 tnm: 0.53 Lm: 6.743 (6.743) Lt: 6.029 (6.029) Accm: 3.07 (3.07) Acct: 5.04 (5.04) proj_loss: -0.6051 (-0.6051) time: 0.3642 data: 0.0003 [11-24 14:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:57 tlr: 6.1e-05 tnm: 0.53 Lm: 6.723 (6.723) Lt: 6.030 (6.030) Accm: 2.71 (2.71) Acct: 4.31 (4.31) proj_loss: -0.5923 (-0.5923) time: 0.3642 data: 0.0003 [11-24 14:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:57 tlr: 6.1e-05 tnm: 0.53 Lm: 6.685 (6.685) Lt: 5.955 (5.955) Accm: 2.80 (2.80) Acct: 4.32 (4.32) proj_loss: -0.5887 (-0.5887) time: 0.3642 data: 0.0003 [11-24 14:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:57 tlr: 6.1e-05 tnm: 0.53 Lm: 6.688 (6.688) Lt: 5.954 (5.954) Accm: 2.75 (2.75) Acct: 4.47 (4.47) proj_loss: -0.5971 (-0.5971) time: 0.3642 data: 0.0002 [11-24 14:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.596 (6.657) Lt: 5.845 (5.918) Accm: 3.00 (2.89) Acct: 4.96 (4.67) proj_loss: -0.5938 (-0.5960) time: 0.3654 data: 0.0003 [11-24 14:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.739 (6.749) Lt: 6.044 (6.056) Accm: 2.70 (2.58) Acct: 4.27 (4.09) proj_loss: -0.6005 (-0.5990) time: 0.3654 data: 0.0003 [11-24 14:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.694 (6.688) Lt: 5.943 (5.951) Accm: 2.71 (2.77) Acct: 4.39 (4.34) proj_loss: -0.5964 (-0.5914) time: 0.3654 data: 0.0003 [11-24 14:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.758 (6.748) Lt: 6.017 (6.025) Accm: 3.00 (3.05) Acct: 4.80 (4.96) proj_loss: -0.6033 (-0.5967) time: 0.3654 data: 0.0003 [11-24 14:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.54 Lm: 6.656 (6.688) Lt: 5.909 (5.949) Accm: 3.28 (3.18) Acct: 5.28 (5.16) proj_loss: -0.6009 (-0.5972) time: 0.4105 data: 0.0003 [11-24 14:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.54 Lm: 6.723 (6.718) Lt: 6.030 (6.024) Accm: 2.71 (2.73) Acct: 4.31 (4.29) proj_loss: -0.6005 (-0.5994) time: 0.4105 data: 0.0003 [11-24 14:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.54 Lm: 6.623 (6.654) Lt: 5.884 (5.920) Accm: 2.96 (2.90) Acct: 4.65 (4.49) proj_loss: -0.5966 (-0.5954) time: 0.4105 data: 0.0003 [11-24 14:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.54 Lm: 6.697 (6.693) Lt: 5.943 (5.949) Accm: 2.85 (2.84) Acct: 4.77 (4.64) proj_loss: -0.5915 (-0.5937) time: 0.4105 data: 0.0003 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.754 (6.705) Lt: 6.022 (5.963) Accm: 2.70 (2.80) Acct: 4.58 (4.50) proj_loss: -0.5892 (-0.5889) time: 0.3665 data: 0.0021 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:19 (0.371 s / it) [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.739 (6.750) Lt: 6.044 (6.053) Accm: 2.70 (2.65) Acct: 4.27 (4.17) proj_loss: -0.6005 (-0.6003) time: 0.3665 data: 0.0016 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.694 (6.680) Lt: 5.943 (5.941) Accm: 2.71 (2.80) Acct: 4.39 (4.36) proj_loss: -0.5964 (-0.5949) time: 0.3665 data: 0.0017 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.687 (6.688) Lt: 5.949 (5.949) Accm: 3.00 (3.14) Acct: 4.80 (5.07) proj_loss: -0.6033 (-0.6019) time: 0.3665 data: 0.0014 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:19 (0.371 s / it) [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:19 (0.371 s / it) [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:19 (0.371 s / it) [11-24 14:40:46] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.979), Acc m&t: 2.91 4.56, Remain: 13:23:32, Finish: 2024-11-24 12:04 [11-24 14:40:46] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.979), Acc m&t: 2.91 4.56, Remain: 13:25:03, Finish: 2024-11-24 12:05 [11-24 14:40:46] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.979), Acc m&t: 2.91 4.56, Remain: 13:23:26, Finish: 2024-11-24 12:04 [11-24 14:40:46] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.979), Acc m&t: 2.91 4.56, Remain: 13:24:15, Finish: 2024-11-24 12:05 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:09:58 tlr: 6e-05 tnm: 0.53 Lm: 6.649 (6.649) Lt: 5.938 (5.938) Accm: 3.11 (3.11) Acct: 5.03 (5.03) proj_loss: -0.6011 (-0.6011) time: 0.3585 data: 0.0004 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:09:54 tlr: 6e-05 tnm: 0.53 Lm: 6.780 (6.780) Lt: 6.097 (6.097) Accm: 2.65 (2.65) Acct: 4.25 (4.25) proj_loss: -0.5751 (-0.5751) time: 0.3562 data: 0.0003 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:10:36 tlr: 6e-05 tnm: 0.53 Lm: 6.782 (6.782) Lt: 6.070 (6.070) Accm: 2.69 (2.69) Acct: 4.27 (4.27) proj_loss: -0.5944 (-0.5944) time: 0.3814 data: 0.0004 [11-24 14:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:10:00 tlr: 6e-05 tnm: 0.53 Lm: 6.707 (6.707) Lt: 5.964 (5.964) Accm: 2.80 (2.80) Acct: 4.49 (4.49) proj_loss: -0.5939 (-0.5939) time: 0.3598 data: 0.0004 [11-24 14:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:34 tlr: 6e-05 tnm: 0.53 Lm: 6.775 (6.775) Lt: 6.079 (6.079) Accm: 2.59 (2.59) Acct: 4.15 (4.15) proj_loss: -0.5962 (-0.5962) time: 0.3629 data: 0.0003 [11-24 14:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:34 tlr: 6e-05 tnm: 0.53 Lm: 6.761 (6.761) Lt: 6.065 (6.065) Accm: 2.74 (2.74) Acct: 4.30 (4.30) proj_loss: -0.5991 (-0.5991) time: 0.3629 data: 0.0003 [11-24 14:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:34 tlr: 6e-05 tnm: 0.53 Lm: 6.724 (6.724) Lt: 6.006 (6.006) Accm: 2.84 (2.84) Acct: 4.58 (4.58) proj_loss: -0.5783 (-0.5783) time: 0.3630 data: 0.0002 [11-24 14:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:34 tlr: 6e-05 tnm: 0.53 Lm: 6.621 (6.621) Lt: 5.897 (5.897) Accm: 3.12 (3.12) Acct: 5.04 (5.04) proj_loss: -0.5965 (-0.5965) time: 0.3630 data: 0.0002 [11-24 14:45:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:02 tlr: 6e-05 tnm: 0.54 Lm: 6.748 (6.766) Lt: 6.095 (6.085) Accm: 2.73 (2.64) Acct: 4.08 (4.13) proj_loss: -0.5986 (-0.6071) time: 0.3612 data: 0.0003 [11-24 14:45:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:02 tlr: 6e-05 tnm: 0.54 Lm: 6.623 (6.622) Lt: 5.939 (5.911) Accm: 2.98 (3.07) Acct: 4.63 (4.90) proj_loss: -0.5986 (-0.6001) time: 0.3612 data: 0.0003 [11-24 14:45:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:02 tlr: 6e-05 tnm: 0.54 Lm: 6.814 (6.778) Lt: 6.100 (6.076) Accm: 2.56 (2.68) Acct: 4.12 (4.24) proj_loss: -0.6009 (-0.5997) time: 0.3612 data: 0.0003 [11-24 14:45:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:02 tlr: 6e-05 tnm: 0.54 Lm: 6.668 (6.705) Lt: 5.976 (5.996) Accm: 3.04 (3.02) Acct: 4.91 (4.80) proj_loss: -0.5816 (-0.5861) time: 0.3612 data: 0.0002 [11-24 14:48:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.667 (6.684) Lt: 5.946 (5.969) Accm: 3.04 (3.02) Acct: 4.94 (4.84) proj_loss: -0.5843 (-0.5863) time: 0.3637 data: 0.0003 [11-24 14:48:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.618 (6.620) Lt: 5.898 (5.897) Accm: 3.07 (3.10) Acct: 4.91 (4.97) proj_loss: -0.5993 (-0.6001) time: 0.3637 data: 0.0003 [11-24 14:48:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.760 (6.767) Lt: 6.086 (6.082) Accm: 2.68 (2.64) Acct: 4.18 (4.16) proj_loss: -0.6031 (-0.6073) time: 0.3637 data: 0.0003 [11-24 14:48:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.732 (6.739) Lt: 6.019 (6.029) Accm: 2.74 (2.74) Acct: 4.20 (4.25) proj_loss: -0.5989 (-0.5990) time: 0.3638 data: 0.0003 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.52 Lm: 6.712 (6.733) Lt: 6.033 (6.030) Accm: 2.56 (2.70) Acct: 4.12 (4.18) proj_loss: -0.6009 (-0.6020) time: 0.3657 data: 0.0018 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.52 Lm: 6.667 (6.656) Lt: 5.915 (5.925) Accm: 3.05 (3.09) Acct: 4.98 (4.95) proj_loss: -0.5816 (-0.5852) time: 0.3657 data: 0.0016 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.52 Lm: 6.623 (6.652) Lt: 5.939 (5.934) Accm: 2.98 (2.99) Acct: 4.63 (4.79) proj_loss: -0.5986 (-0.5973) time: 0.3657 data: 0.0015 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.52 Lm: 6.772 (6.780) Lt: 6.083 (6.082) Accm: 2.63 (2.56) Acct: 4.08 (4.07) proj_loss: -0.5986 (-0.6011) time: 0.3657 data: 0.0024 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:05 (0.363 s / it) [11-24 14:50:52] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.980), Acc m&t: 2.91 4.56, Remain: 13:17:26, Finish: 2024-11-24 12:08 [11-24 14:50:52] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.980), Acc m&t: 2.91 4.56, Remain: 13:17:44, Finish: 2024-11-24 12:08 [11-24 14:50:52] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.980), Acc m&t: 2.91 4.56, Remain: 13:17:48, Finish: 2024-11-24 12:08 [11-24 14:50:52] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.685 (6.693), Lt: 5.973 (5.980), Acc m&t: 2.91 4.56, Remain: 13:17:31, Finish: 2024-11-24 12:08 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:50 tlr: 5.9e-05 tnm: 0.55 Lm: 6.726 (6.726) Lt: 6.028 (6.028) Accm: 2.83 (2.83) Acct: 4.63 (4.63) proj_loss: -0.6241 (-0.6241) time: 0.3540 data: 0.0003 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:52 tlr: 5.9e-05 tnm: 0.55 Lm: 6.562 (6.562) Lt: 5.821 (5.821) Accm: 3.45 (3.45) Acct: 5.41 (5.41) proj_loss: -0.6035 (-0.6035) time: 0.3549 data: 0.0003 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:52 tlr: 5.9e-05 tnm: 0.55 Lm: 6.747 (6.747) Lt: 6.072 (6.072) Accm: 2.89 (2.89) Acct: 4.37 (4.37) proj_loss: -0.6189 (-0.6189) time: 0.3549 data: 0.0003 [11-24 14:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:53 tlr: 5.9e-05 tnm: 0.55 Lm: 6.599 (6.599) Lt: 5.778 (5.778) Accm: 3.18 (3.18) Acct: 4.98 (4.98) proj_loss: -0.5891 (-0.5891) time: 0.3559 data: 0.0004 [11-24 14:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:38 tlr: 5.9e-05 tnm: 0.54 Lm: 6.689 (6.689) Lt: 5.961 (5.961) Accm: 2.81 (2.81) Acct: 4.31 (4.31) proj_loss: -0.5890 (-0.5890) time: 0.3618 data: 0.0003 [11-24 14:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:38 tlr: 5.9e-05 tnm: 0.54 Lm: 6.651 (6.651) Lt: 5.910 (5.910) Accm: 3.11 (3.11) Acct: 4.87 (4.87) proj_loss: -0.6079 (-0.6079) time: 0.3618 data: 0.0003 [11-24 14:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:38 tlr: 5.9e-05 tnm: 0.54 Lm: 6.705 (6.705) Lt: 6.024 (6.024) Accm: 2.85 (2.85) Acct: 4.34 (4.34) proj_loss: -0.6096 (-0.6096) time: 0.3618 data: 0.0002 [11-24 14:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:38 tlr: 5.9e-05 tnm: 0.54 Lm: 6.709 (6.709) Lt: 5.969 (5.969) Accm: 2.74 (2.74) Acct: 4.49 (4.49) proj_loss: -0.6068 (-0.6068) time: 0.3618 data: 0.0003 [11-24 14:56:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:09 tlr: 5.9e-05 tnm: 0.53 Lm: 6.624 (6.642) Lt: 5.976 (5.932) Accm: 2.96 (3.06) Acct: 4.34 (4.66) proj_loss: -0.6123 (-0.6147) time: 0.3630 data: 0.0003 [11-24 14:56:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:09 tlr: 5.9e-05 tnm: 0.53 Lm: 6.747 (6.742) Lt: 6.063 (6.037) Accm: 2.81 (2.77) Acct: 4.37 (4.35) proj_loss: -0.6002 (-0.6001) time: 0.3630 data: 0.0003 [11-24 14:56:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:09 tlr: 5.9e-05 tnm: 0.53 Lm: 6.726 (6.728) Lt: 6.028 (6.002) Accm: 2.64 (2.68) Acct: 4.36 (4.34) proj_loss: -0.5981 (-0.6039) time: 0.3630 data: 0.0003 [11-24 14:56:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:09 tlr: 5.9e-05 tnm: 0.53 Lm: 6.662 (6.680) Lt: 5.950 (5.957) Accm: 3.01 (2.87) Acct: 4.80 (4.48) proj_loss: -0.5891 (-0.6001) time: 0.3630 data: 0.0003 [11-24 14:58:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.747 (6.741) Lt: 6.048 (6.025) Accm: 2.68 (2.69) Acct: 4.45 (4.39) proj_loss: -0.5981 (-0.6024) time: 0.3615 data: 0.0003 [11-24 14:58:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.672 (6.661) Lt: 5.987 (5.955) Accm: 2.93 (3.02) Acct: 4.42 (4.62) proj_loss: -0.6147 (-0.6153) time: 0.3615 data: 0.0002 [11-24 14:58:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.671 (6.680) Lt: 5.960 (5.960) Accm: 2.91 (2.86) Acct: 4.55 (4.43) proj_loss: -0.5954 (-0.6005) time: 0.3615 data: 0.0003 [11-24 14:58:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.705 (6.708) Lt: 6.020 (6.000) Accm: 2.85 (2.87) Acct: 4.37 (4.47) proj_loss: -0.5979 (-0.5989) time: 0.3615 data: 0.0003 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.719 (6.676) Lt: 5.976 (5.957) Accm: 2.89 (2.97) Acct: 4.34 (4.56) proj_loss: -0.6123 (-0.6098) time: 0.3670 data: 0.0016 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.662 (6.672) Lt: 5.950 (5.950) Accm: 3.01 (2.90) Acct: 4.80 (4.51) proj_loss: -0.5891 (-0.5966) time: 0.3670 data: 0.0022 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.747 (6.728) Lt: 6.063 (6.018) Accm: 2.81 (2.80) Acct: 4.37 (4.36) proj_loss: -0.6002 (-0.6007) time: 0.3670 data: 0.0018 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.726 (6.712) Lt: 6.028 (6.001) Accm: 2.72 (2.84) Acct: 4.55 (4.55) proj_loss: -0.5981 (-0.6030) time: 0.3670 data: 0.0014 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:01:15] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.685 (6.688), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 13:11:28, Finish: 2024-11-24 12:12 [11-24 15:01:15] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.685 (6.688), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 13:11:34, Finish: 2024-11-24 12:12 [11-24 15:01:15] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.685 (6.688), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 13:11:43, Finish: 2024-11-24 12:12 [11-24 15:01:15] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.685 (6.688), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 13:11:30, Finish: 2024-11-24 12:12 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:56 tlr: 5.9e-05 tnm: 0.55 Lm: 6.695 (6.695) Lt: 5.960 (5.960) Accm: 3.20 (3.20) Acct: 4.89 (4.89) proj_loss: -0.5939 (-0.5939) time: 0.3575 data: 0.0003 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:49 tlr: 5.9e-05 tnm: 0.55 Lm: 6.643 (6.643) Lt: 5.953 (5.953) Accm: 2.72 (2.72) Acct: 4.44 (4.44) proj_loss: -0.6275 (-0.6275) time: 0.3534 data: 0.0004 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:56 tlr: 5.9e-05 tnm: 0.55 Lm: 6.662 (6.662) Lt: 5.939 (5.939) Accm: 2.96 (2.96) Acct: 4.36 (4.36) proj_loss: -0.6170 (-0.6170) time: 0.3576 data: 0.0004 [11-24 15:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:58 tlr: 5.9e-05 tnm: 0.55 Lm: 6.672 (6.672) Lt: 5.979 (5.979) Accm: 2.94 (2.94) Acct: 4.42 (4.42) proj_loss: -0.5670 (-0.5670) time: 0.3587 data: 0.0004 [11-24 15:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:54 tlr: 5.8e-05 tnm: 0.54 Lm: 6.704 (6.704) Lt: 6.018 (6.018) Accm: 2.86 (2.86) Acct: 4.47 (4.47) proj_loss: -0.5942 (-0.5942) time: 0.3633 data: 0.0003 [11-24 15:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:54 tlr: 5.8e-05 tnm: 0.54 Lm: 6.727 (6.727) Lt: 6.030 (6.030) Accm: 2.86 (2.86) Acct: 4.29 (4.29) proj_loss: -0.6015 (-0.6015) time: 0.3633 data: 0.0003 [11-24 15:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:54 tlr: 5.8e-05 tnm: 0.54 Lm: 6.695 (6.695) Lt: 6.004 (6.004) Accm: 2.78 (2.78) Acct: 4.49 (4.49) proj_loss: -0.6131 (-0.6131) time: 0.3633 data: 0.0003 [11-24 15:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:54 tlr: 5.8e-05 tnm: 0.54 Lm: 6.652 (6.652) Lt: 5.929 (5.929) Accm: 3.07 (3.07) Acct: 4.69 (4.69) proj_loss: -0.6199 (-0.6199) time: 0.3633 data: 0.0003 [11-24 15:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.54 Lm: 6.642 (6.625) Lt: 5.919 (5.903) Accm: 3.18 (3.23) Acct: 5.03 (4.90) proj_loss: -0.6170 (-0.6177) time: 0.4154 data: 0.0003 [11-24 15:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.54 Lm: 6.695 (6.646) Lt: 5.960 (5.939) Accm: 3.20 (3.09) Acct: 4.89 (4.70) proj_loss: -0.6091 (-0.6064) time: 0.4154 data: 0.0003 [11-24 15:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.54 Lm: 6.672 (6.661) Lt: 5.979 (5.954) Accm: 2.94 (2.93) Acct: 4.51 (4.58) proj_loss: -0.5945 (-0.5943) time: 0.4154 data: 0.0002 [11-24 15:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.54 Lm: 6.643 (6.661) Lt: 5.953 (5.952) Accm: 2.84 (3.00) Acct: 4.53 (4.88) proj_loss: -0.6025 (-0.6095) time: 0.4154 data: 0.0003 [11-24 15:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:35 tlr: 5.8e-05 tnm: 0.53 Lm: 6.695 (6.702) Lt: 6.004 (6.002) Accm: 2.78 (2.87) Acct: 4.49 (4.59) proj_loss: -0.6006 (-0.6063) time: 0.3627 data: 0.0004 [11-24 15:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:35 tlr: 5.8e-05 tnm: 0.53 Lm: 6.652 (6.638) Lt: 5.929 (5.915) Accm: 3.07 (3.13) Acct: 4.69 (4.74) proj_loss: -0.6152 (-0.6136) time: 0.3627 data: 0.0002 [11-24 15:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:35 tlr: 5.8e-05 tnm: 0.53 Lm: 6.727 (6.682) Lt: 5.982 (5.956) Accm: 2.98 (3.01) Acct: 4.66 (4.63) proj_loss: -0.6015 (-0.5991) time: 0.3627 data: 0.0002 [11-24 15:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:35 tlr: 5.8e-05 tnm: 0.53 Lm: 6.693 (6.674) Lt: 5.983 (5.962) Accm: 2.86 (2.88) Acct: 4.47 (4.52) proj_loss: -0.6058 (-0.6000) time: 0.3627 data: 0.0003 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.56 Lm: 6.713 (6.685) Lt: 5.987 (5.979) Accm: 2.78 (2.86) Acct: 4.42 (4.47) proj_loss: -0.5945 (-0.5987) time: 0.3647 data: 0.0018 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:18 (0.370 s / it) [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.56 Lm: 6.748 (6.695) Lt: 6.004 (5.980) Accm: 2.76 (2.95) Acct: 4.42 (4.51) proj_loss: -0.6010 (-0.5995) time: 0.3647 data: 0.0019 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.56 Lm: 6.662 (6.659) Lt: 5.939 (5.939) Accm: 2.96 (3.03) Acct: 4.36 (4.60) proj_loss: -0.6134 (-0.6088) time: 0.3647 data: 0.0016 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.56 Lm: 6.702 (6.702) Lt: 5.954 (5.992) Accm: 2.84 (2.88) Acct: 4.49 (4.57) proj_loss: -0.5986 (-0.6028) time: 0.3647 data: 0.0021 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:18 (0.370 s / it) [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:18 (0.370 s / it) [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:18 (0.370 s / it) [11-24 15:11:33] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.989), Acc m&t: 2.91 4.56, Remain: 12:53:40, Finish: 2024-11-24 12:05 [11-24 15:11:33] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.989), Acc m&t: 2.91 4.56, Remain: 12:53:55, Finish: 2024-11-24 12:05 [11-24 15:11:33] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.989), Acc m&t: 2.91 4.56, Remain: 12:54:00, Finish: 2024-11-24 12:05 [11-24 15:11:33] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.989), Acc m&t: 2.91 4.56, Remain: 12:54:04, Finish: 2024-11-24 12:05 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:38 tlr: 5.8e-05 tnm: 0.54 Lm: 6.675 (6.675) Lt: 5.937 (5.937) Accm: 2.87 (2.87) Acct: 4.63 (4.63) proj_loss: -0.6076 (-0.6076) time: 0.3466 data: 0.0003 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:38 tlr: 5.8e-05 tnm: 0.54 Lm: 6.604 (6.604) Lt: 5.902 (5.902) Accm: 3.40 (3.40) Acct: 5.17 (5.17) proj_loss: -0.5932 (-0.5932) time: 0.3467 data: 0.0003 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:41 tlr: 5.8e-05 tnm: 0.54 Lm: 6.827 (6.827) Lt: 6.137 (6.137) Accm: 2.51 (2.51) Acct: 3.86 (3.86) proj_loss: -0.5998 (-0.5998) time: 0.3487 data: 0.0003 [11-24 15:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:36 tlr: 5.8e-05 tnm: 0.54 Lm: 6.818 (6.818) Lt: 6.164 (6.164) Accm: 2.56 (2.56) Acct: 3.98 (3.98) proj_loss: -0.6086 (-0.6086) time: 0.3456 data: 0.0004 [11-24 15:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:34 tlr: 5.8e-05 tnm: 0.54 Lm: 6.747 (6.747) Lt: 6.095 (6.095) Accm: 2.75 (2.75) Acct: 4.19 (4.19) proj_loss: -0.6080 (-0.6080) time: 0.3631 data: 0.0002 [11-24 15:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:34 tlr: 5.8e-05 tnm: 0.54 Lm: 6.707 (6.707) Lt: 5.952 (5.952) Accm: 2.83 (2.83) Acct: 4.53 (4.53) proj_loss: -0.6050 (-0.6050) time: 0.3631 data: 0.0003 [11-24 15:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:34 tlr: 5.8e-05 tnm: 0.54 Lm: 6.690 (6.690) Lt: 5.993 (5.993) Accm: 3.10 (3.10) Acct: 4.79 (4.79) proj_loss: -0.5972 (-0.5972) time: 0.3631 data: 0.0003 [11-24 15:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:34 tlr: 5.8e-05 tnm: 0.54 Lm: 6.746 (6.746) Lt: 6.057 (6.057) Accm: 2.73 (2.73) Acct: 4.15 (4.15) proj_loss: -0.5952 (-0.5952) time: 0.3631 data: 0.0003 [11-24 15:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.56 Lm: 6.782 (6.758) Lt: 6.125 (6.080) Accm: 2.62 (2.69) Acct: 4.42 (4.24) proj_loss: -0.5998 (-0.6058) time: 0.3627 data: 0.0003 [11-24 15:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.56 Lm: 6.791 (6.762) Lt: 6.132 (6.107) Accm: 2.56 (2.68) Acct: 3.98 (4.11) proj_loss: -0.6074 (-0.6055) time: 0.3627 data: 0.0003 [11-24 15:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.56 Lm: 6.604 (6.661) Lt: 5.902 (5.961) Accm: 3.07 (3.09) Acct: 4.92 (4.83) proj_loss: -0.5932 (-0.5951) time: 0.3627 data: 0.0002 [11-24 15:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.56 Lm: 6.689 (6.701) Lt: 5.944 (5.949) Accm: 2.87 (2.85) Acct: 4.63 (4.56) proj_loss: -0.6025 (-0.6019) time: 0.3627 data: 0.0003 [11-24 15:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:31 tlr: 5.7e-05 tnm: 0.56 Lm: 6.682 (6.692) Lt: 5.944 (5.948) Accm: 2.88 (2.92) Acct: 4.63 (4.67) proj_loss: -0.5990 (-0.5999) time: 0.3629 data: 0.0003 [11-24 15:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:31 tlr: 5.7e-05 tnm: 0.56 Lm: 6.677 (6.683) Lt: 5.951 (5.970) Accm: 2.94 (3.02) Acct: 4.67 (4.72) proj_loss: -0.5972 (-0.5974) time: 0.3629 data: 0.0003 [11-24 15:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:31 tlr: 5.7e-05 tnm: 0.56 Lm: 6.765 (6.756) Lt: 6.103 (6.099) Accm: 2.64 (2.69) Acct: 3.96 (4.06) proj_loss: -0.6039 (-0.6026) time: 0.3629 data: 0.0003 [11-24 15:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:32 tlr: 5.7e-05 tnm: 0.56 Lm: 6.762 (6.754) Lt: 6.083 (6.070) Accm: 2.69 (2.71) Acct: 4.43 (4.31) proj_loss: -0.6037 (-0.6063) time: 0.3629 data: 0.0003 [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.54 Lm: 6.782 (6.778) Lt: 6.125 (6.095) Accm: 2.62 (2.64) Acct: 4.42 (4.12) proj_loss: -0.5998 (-0.6039) time: 0.3626 data: 0.0016 [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:16:30 (0.593 s / it) [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.54 Lm: 6.689 (6.711) Lt: 5.944 (5.982) Accm: 2.87 (2.86) Acct: 4.63 (4.58) proj_loss: -0.5956 (-0.5975) time: 0.3626 data: 0.0015 [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.54 Lm: 6.791 (6.789) Lt: 6.132 (6.126) Accm: 2.56 (2.65) Acct: 3.98 (4.07) proj_loss: -0.6004 (-0.6016) time: 0.3626 data: 0.0014 [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.54 Lm: 6.677 (6.682) Lt: 5.985 (5.973) Accm: 2.87 (2.99) Acct: 4.41 (4.63) proj_loss: -0.5984 (-0.5976) time: 0.3626 data: 0.0020 [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:16:30 (0.593 s / it) [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:16:30 (0.593 s / it) [11-24 15:28:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:16:30 (0.593 s / it) [11-24 15:28:03] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.685 (6.686), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 12:40:01, Finish: 2024-11-24 12:08 [11-24 15:28:03] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.685 (6.686), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 12:40:40, Finish: 2024-11-24 12:08 [11-24 15:28:03] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.685 (6.686), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 12:40:14, Finish: 2024-11-24 12:08 [11-24 15:28:03] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.685 (6.686), Lt: 5.973 (5.976), Acc m&t: 2.91 4.56, Remain: 12:39:54, Finish: 2024-11-24 12:07 [11-24 15:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:48 tlr: 5.7e-05 tnm: 0.53 Lm: 6.722 (6.722) Lt: 6.016 (6.016) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: -0.6165 (-0.6165) time: 0.3524 data: 0.0004 [11-24 15:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:48 tlr: 5.7e-05 tnm: 0.53 Lm: 6.786 (6.786) Lt: 6.088 (6.088) Accm: 2.76 (2.76) Acct: 4.63 (4.63) proj_loss: -0.6243 (-0.6243) time: 0.3526 data: 0.0004 [11-24 15:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:48 tlr: 5.7e-05 tnm: 0.53 Lm: 6.798 (6.798) Lt: 6.057 (6.057) Accm: 2.67 (2.67) Acct: 4.25 (4.25) proj_loss: -0.5902 (-0.5902) time: 0.3527 data: 0.0004 [11-24 15:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:49 tlr: 5.7e-05 tnm: 0.53 Lm: 6.696 (6.696) Lt: 5.983 (5.983) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: -0.6015 (-0.6015) time: 0.3530 data: 0.0004 [11-24 15:30:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:40 tlr: 5.7e-05 tnm: 0.55 Lm: 6.698 (6.698) Lt: 5.967 (5.967) Accm: 2.81 (2.81) Acct: 4.47 (4.47) proj_loss: -0.6056 (-0.6056) time: 0.3629 data: 0.0003 [11-24 15:30:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:40 tlr: 5.7e-05 tnm: 0.55 Lm: 6.785 (6.785) Lt: 6.094 (6.094) Accm: 2.55 (2.55) Acct: 3.99 (3.99) proj_loss: -0.6120 (-0.6120) time: 0.3629 data: 0.0003 [11-24 15:30:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:40 tlr: 5.7e-05 tnm: 0.55 Lm: 6.732 (6.732) Lt: 5.998 (5.998) Accm: 2.78 (2.78) Acct: 4.57 (4.57) proj_loss: -0.5910 (-0.5910) time: 0.3629 data: 0.0003 [11-24 15:30:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:40 tlr: 5.7e-05 tnm: 0.55 Lm: 6.685 (6.685) Lt: 5.990 (5.990) Accm: 2.98 (2.98) Acct: 4.81 (4.81) proj_loss: -0.6102 (-0.6102) time: 0.3629 data: 0.0003 [11-24 15:33:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:09 tlr: 5.7e-05 tnm: 0.55 Lm: 6.729 (6.700) Lt: 6.004 (5.995) Accm: 2.81 (2.92) Acct: 4.63 (4.65) proj_loss: -0.6030 (-0.6078) time: 0.3621 data: 0.0002 [11-24 15:33:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:09 tlr: 5.7e-05 tnm: 0.55 Lm: 6.722 (6.753) Lt: 6.016 (6.036) Accm: 2.67 (2.72) Acct: 4.13 (4.42) proj_loss: -0.6074 (-0.5980) time: 0.3621 data: 0.0003 [11-24 15:33:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:09 tlr: 5.7e-05 tnm: 0.55 Lm: 6.696 (6.612) Lt: 5.950 (5.884) Accm: 2.88 (3.11) Acct: 4.61 (4.92) proj_loss: -0.6097 (-0.6134) time: 0.3622 data: 0.0003 [11-24 15:33:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:09 tlr: 5.7e-05 tnm: 0.55 Lm: 6.666 (6.692) Lt: 5.940 (5.960) Accm: 2.89 (2.96) Acct: 4.89 (4.79) proj_loss: -0.5918 (-0.5992) time: 0.3622 data: 0.0003 [11-24 15:35:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:36 tlr: 5.7e-05 tnm: 0.56 Lm: 6.640 (6.655) Lt: 5.911 (5.932) Accm: 3.11 (3.07) Acct: 5.02 (4.88) proj_loss: -0.6015 (-0.6022) time: 0.3652 data: 0.0003 [11-24 15:35:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:36 tlr: 5.7e-05 tnm: 0.56 Lm: 6.705 (6.731) Lt: 5.979 (6.013) Accm: 2.86 (2.80) Acct: 4.46 (4.51) proj_loss: -0.6019 (-0.5976) time: 0.3652 data: 0.0003 [11-24 15:35:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:36 tlr: 5.7e-05 tnm: 0.56 Lm: 6.697 (6.633) Lt: 5.961 (5.906) Accm: 2.85 (3.04) Acct: 4.53 (4.80) proj_loss: -0.6056 (-0.6097) time: 0.3652 data: 0.0002 [11-24 15:35:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:36 tlr: 5.7e-05 tnm: 0.56 Lm: 6.661 (6.673) Lt: 5.948 (5.962) Accm: 3.00 (3.04) Acct: 4.81 (4.82) proj_loss: -0.6136 (-0.6136) time: 0.3652 data: 0.0002 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.58 Lm: 6.593 (6.646) Lt: 5.892 (5.937) Accm: 3.20 (3.13) Acct: 4.99 (4.93) proj_loss: -0.6218 (-0.6152) time: 0.3638 data: 0.0019 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.58 Lm: 6.688 (6.709) Lt: 5.942 (5.992) Accm: 2.88 (2.82) Acct: 4.67 (4.54) proj_loss: -0.6074 (-0.6011) time: 0.3638 data: 0.0020 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.58 Lm: 6.697 (6.650) Lt: 5.971 (5.924) Accm: 2.83 (2.95) Acct: 4.44 (4.67) proj_loss: -0.6097 (-0.6098) time: 0.3638 data: 0.0016 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.58 Lm: 6.666 (6.675) Lt: 5.940 (5.958) Accm: 2.91 (3.04) Acct: 4.89 (4.80) proj_loss: -0.6074 (-0.6032) time: 0.3639 data: 0.0015 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:22 (0.373 s / it) [11-24 15:38:26] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.985), Acc m&t: 2.91 4.56, Remain: 12:33:08, Finish: 2024-11-24 12:11 [11-24 15:38:26] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.985), Acc m&t: 2.91 4.56, Remain: 12:32:46, Finish: 2024-11-24 12:11 [11-24 15:38:26] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.985), Acc m&t: 2.91 4.56, Remain: 12:33:03, Finish: 2024-11-24 12:11 [11-24 15:38:26] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.685 (6.695), Lt: 5.973 (5.985), Acc m&t: 2.91 4.56, Remain: 12:32:28, Finish: 2024-11-24 12:10 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:47 tlr: 5.6e-05 tnm: 0.53 Lm: 6.816 (6.816) Lt: 6.196 (6.196) Accm: 2.53 (2.53) Acct: 3.99 (3.99) proj_loss: -0.6005 (-0.6005) time: 0.3517 data: 0.0004 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:45 tlr: 5.6e-05 tnm: 0.53 Lm: 6.613 (6.613) Lt: 5.943 (5.943) Accm: 3.34 (3.34) Acct: 5.06 (5.06) proj_loss: -0.5891 (-0.5891) time: 0.3507 data: 0.0003 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:45 tlr: 5.6e-05 tnm: 0.53 Lm: 6.659 (6.659) Lt: 5.935 (5.935) Accm: 3.26 (3.26) Acct: 4.79 (4.79) proj_loss: -0.5962 (-0.5962) time: 0.3511 data: 0.0003 [11-24 15:38:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:46 tlr: 5.6e-05 tnm: 0.53 Lm: 6.797 (6.797) Lt: 6.119 (6.119) Accm: 2.52 (2.52) Acct: 4.01 (4.01) proj_loss: -0.5871 (-0.5871) time: 0.3513 data: 0.0003 [11-24 15:41:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:58 tlr: 5.6e-05 tnm: 0.55 Lm: 6.747 (6.747) Lt: 6.063 (6.063) Accm: 2.83 (2.83) Acct: 4.28 (4.28) proj_loss: -0.5937 (-0.5937) time: 0.3609 data: 0.0003 [11-24 15:41:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:58 tlr: 5.6e-05 tnm: 0.55 Lm: 6.678 (6.678) Lt: 5.978 (5.978) Accm: 3.09 (3.09) Acct: 4.86 (4.86) proj_loss: -0.5933 (-0.5933) time: 0.3609 data: 0.0003 [11-24 15:41:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:58 tlr: 5.6e-05 tnm: 0.55 Lm: 6.649 (6.649) Lt: 5.915 (5.915) Accm: 3.19 (3.19) Acct: 4.89 (4.89) proj_loss: -0.6022 (-0.6022) time: 0.3609 data: 0.0002 [11-24 15:41:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:58 tlr: 5.6e-05 tnm: 0.55 Lm: 6.808 (6.808) Lt: 6.181 (6.181) Accm: 2.47 (2.47) Acct: 3.86 (3.86) proj_loss: -0.5992 (-0.5992) time: 0.3609 data: 0.0003 [11-24 15:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:12 tlr: 5.6e-05 tnm: 0.55 Lm: 6.800 (6.772) Lt: 6.165 (6.115) Accm: 2.53 (2.62) Acct: 3.99 (4.09) proj_loss: -0.5997 (-0.5994) time: 0.3631 data: 0.0003 [11-24 15:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:12 tlr: 5.6e-05 tnm: 0.55 Lm: 6.697 (6.688) Lt: 6.007 (5.960) Accm: 3.13 (2.97) Acct: 4.55 (4.58) proj_loss: -0.5973 (-0.5949) time: 0.3631 data: 0.0003 [11-24 15:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:12 tlr: 5.6e-05 tnm: 0.55 Lm: 6.743 (6.712) Lt: 6.013 (6.005) Accm: 2.85 (2.95) Acct: 4.67 (4.69) proj_loss: -0.5975 (-0.6007) time: 0.3631 data: 0.0003 [11-24 15:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:12 tlr: 5.6e-05 tnm: 0.55 Lm: 6.659 (6.681) Lt: 5.935 (5.957) Accm: 3.11 (3.12) Acct: 4.79 (4.85) proj_loss: -0.5962 (-0.5976) time: 0.3631 data: 0.0003 [11-24 15:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:35 tlr: 5.6e-05 tnm: 0.53 Lm: 6.674 (6.683) Lt: 5.956 (5.962) Accm: 3.04 (3.01) Acct: 4.78 (4.71) proj_loss: -0.5991 (-0.5987) time: 0.3677 data: 0.0002 [11-24 15:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:35 tlr: 5.6e-05 tnm: 0.53 Lm: 6.699 (6.698) Lt: 5.980 (5.990) Accm: 2.99 (3.00) Acct: 4.84 (4.77) proj_loss: -0.5967 (-0.5995) time: 0.3677 data: 0.0003 [11-24 15:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:35 tlr: 5.6e-05 tnm: 0.53 Lm: 6.765 (6.762) Lt: 6.089 (6.090) Accm: 2.60 (2.63) Acct: 4.05 (4.09) proj_loss: -0.5997 (-0.5995) time: 0.3677 data: 0.0003 [11-24 15:46:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:35 tlr: 5.6e-05 tnm: 0.53 Lm: 6.747 (6.715) Lt: 6.053 (5.995) Accm: 2.86 (2.87) Acct: 4.28 (4.41) proj_loss: -0.5988 (-0.5972) time: 0.3677 data: 0.0003 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.699 (6.712) Lt: 6.027 (6.001) Accm: 3.13 (2.93) Acct: 4.55 (4.49) proj_loss: -0.5973 (-0.5965) time: 0.3631 data: 0.0018 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:16 (0.369 s / it) [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.656 (6.682) Lt: 5.947 (5.973) Accm: 3.11 (3.02) Acct: 5.01 (4.88) proj_loss: -0.5975 (-0.5992) time: 0.3631 data: 0.0017 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.659 (6.659) Lt: 5.935 (5.939) Accm: 3.11 (3.03) Acct: 4.79 (4.77) proj_loss: -0.6019 (-0.6003) time: 0.3631 data: 0.0019 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:16 (0.369 s / it) [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.731 (6.728) Lt: 6.013 (6.037) Accm: 2.67 (2.74) Acct: 4.12 (4.29) proj_loss: -0.5998 (-0.6066) time: 0.3632 data: 0.0014 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:16 (0.369 s / it) [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:16 (0.369 s / it) [11-24 15:48:43] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.685 (6.697), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:21:09, Finish: 2024-11-24 12:09 [11-24 15:48:43] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.685 (6.697), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:21:16, Finish: 2024-11-24 12:09 [11-24 15:48:43] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.685 (6.697), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:20:53, Finish: 2024-11-24 12:09 [11-24 15:48:43] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.685 (6.697), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:20:56, Finish: 2024-11-24 12:09 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:46 tlr: 5.6e-05 tnm: 0.57 Lm: 6.755 (6.755) Lt: 6.020 (6.020) Accm: 2.71 (2.71) Acct: 4.15 (4.15) proj_loss: -0.6125 (-0.6125) time: 0.3516 data: 0.0003 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:55 tlr: 5.6e-05 tnm: 0.57 Lm: 6.700 (6.700) Lt: 5.987 (5.987) Accm: 2.98 (2.98) Acct: 4.49 (4.49) proj_loss: -0.5718 (-0.5718) time: 0.3570 data: 0.0004 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:56 tlr: 5.6e-05 tnm: 0.57 Lm: 6.702 (6.702) Lt: 5.993 (5.993) Accm: 2.93 (2.93) Acct: 4.73 (4.73) proj_loss: -0.6082 (-0.6082) time: 0.3571 data: 0.0004 [11-24 15:48:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:56 tlr: 5.6e-05 tnm: 0.57 Lm: 6.620 (6.620) Lt: 5.873 (5.873) Accm: 3.03 (3.03) Acct: 4.63 (4.63) proj_loss: -0.5993 (-0.5993) time: 0.3572 data: 0.0004 [11-24 15:51:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:38 tlr: 5.5e-05 tnm: 0.57 Lm: 6.617 (6.617) Lt: 5.918 (5.918) Accm: 3.04 (3.04) Acct: 4.57 (4.57) proj_loss: -0.6070 (-0.6070) time: 0.3627 data: 0.0003 [11-24 15:51:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:38 tlr: 5.5e-05 tnm: 0.57 Lm: 6.712 (6.712) Lt: 6.016 (6.016) Accm: 2.87 (2.87) Acct: 4.42 (4.42) proj_loss: -0.5975 (-0.5975) time: 0.3627 data: 0.0003 [11-24 15:51:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:38 tlr: 5.5e-05 tnm: 0.57 Lm: 6.662 (6.662) Lt: 5.936 (5.936) Accm: 2.99 (2.99) Acct: 4.78 (4.78) proj_loss: -0.6132 (-0.6132) time: 0.3627 data: 0.0003 [11-24 15:51:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:38 tlr: 5.5e-05 tnm: 0.57 Lm: 6.710 (6.710) Lt: 5.979 (5.979) Accm: 2.67 (2.67) Acct: 4.10 (4.10) proj_loss: -0.6028 (-0.6028) time: 0.3627 data: 0.0003 [11-24 15:53:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:04 tlr: 5.5e-05 tnm: 0.55 Lm: 6.755 (6.750) Lt: 6.020 (6.022) Accm: 2.66 (2.67) Acct: 4.15 (4.12) proj_loss: -0.5969 (-0.6008) time: 0.3620 data: 0.0002 [11-24 15:53:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:04 tlr: 5.5e-05 tnm: 0.55 Lm: 6.620 (6.651) Lt: 5.964 (5.953) Accm: 3.03 (2.98) Acct: 4.51 (4.55) proj_loss: -0.6002 (-0.6047) time: 0.3620 data: 0.0002 [11-24 15:53:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:04 tlr: 5.5e-05 tnm: 0.55 Lm: 6.700 (6.650) Lt: 5.987 (5.951) Accm: 2.98 (3.01) Acct: 4.49 (4.67) proj_loss: -0.6073 (-0.6007) time: 0.3620 data: 0.0002 [11-24 15:53:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:04 tlr: 5.5e-05 tnm: 0.55 Lm: 6.702 (6.691) Lt: 5.993 (5.964) Accm: 2.93 (2.93) Acct: 4.73 (4.67) proj_loss: -0.6082 (-0.6059) time: 0.3620 data: 0.0003 [11-24 15:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.56 Lm: 6.662 (6.656) Lt: 5.936 (5.934) Accm: 2.99 (2.97) Acct: 4.73 (4.68) proj_loss: -0.6030 (-0.6039) time: 0.3633 data: 0.0002 [11-24 15:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.56 Lm: 6.663 (6.644) Lt: 5.909 (5.921) Accm: 3.04 (3.04) Acct: 4.78 (4.77) proj_loss: -0.6131 (-0.6053) time: 0.3633 data: 0.0003 [11-24 15:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.56 Lm: 6.757 (6.752) Lt: 6.018 (6.021) Accm: 2.68 (2.70) Acct: 4.16 (4.14) proj_loss: -0.5997 (-0.6013) time: 0.3633 data: 0.0003 [11-24 15:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.56 Lm: 6.665 (6.665) Lt: 5.963 (5.955) Accm: 2.99 (2.97) Acct: 4.56 (4.56) proj_loss: -0.6029 (-0.6050) time: 0.3633 data: 0.0002 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.57 Lm: 6.709 (6.675) Lt: 5.964 (5.960) Accm: 2.94 (2.93) Acct: 4.51 (4.54) proj_loss: -0.6056 (-0.6068) time: 0.4097 data: 0.0034 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:07 (0.364 s / it) [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.57 Lm: 6.621 (6.645) Lt: 5.880 (5.919) Accm: 3.05 (2.99) Acct: 4.73 (4.75) proj_loss: -0.6025 (-0.6036) time: 0.4097 data: 0.0015 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.57 Lm: 6.643 (6.644) Lt: 5.929 (5.923) Accm: 2.98 (3.00) Acct: 4.49 (4.70) proj_loss: -0.6128 (-0.6068) time: 0.4097 data: 0.0020 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.57 Lm: 6.755 (6.718) Lt: 6.016 (5.984) Accm: 2.71 (2.78) Acct: 4.17 (4.36) proj_loss: -0.6026 (-0.6018) time: 0.4097 data: 0.0014 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:07 (0.364 s / it) [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:07 (0.364 s / it) [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:07 (0.364 s / it) [11-24 15:58:51] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.685 (6.687), Lt: 5.973 (5.974), Acc m&t: 2.91 4.56, Remain: 12:16:44, Finish: 2024-11-24 12:15 [11-24 15:58:51] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.685 (6.687), Lt: 5.973 (5.974), Acc m&t: 2.91 4.56, Remain: 12:16:20, Finish: 2024-11-24 12:15 [11-24 15:58:51] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.685 (6.687), Lt: 5.973 (5.974), Acc m&t: 2.91 4.56, Remain: 12:16:30, Finish: 2024-11-24 12:15 [11-24 15:58:51] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.685 (6.687), Lt: 5.973 (5.974), Acc m&t: 2.91 4.56, Remain: 12:16:14, Finish: 2024-11-24 12:15 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:47 tlr: 5.5e-05 tnm: 0.56 Lm: 6.722 (6.722) Lt: 6.019 (6.019) Accm: 2.79 (2.79) Acct: 4.32 (4.32) proj_loss: -0.6027 (-0.6027) time: 0.3517 data: 0.0004 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:51 tlr: 5.5e-05 tnm: 0.56 Lm: 6.629 (6.629) Lt: 5.945 (5.945) Accm: 3.14 (3.14) Acct: 4.79 (4.79) proj_loss: -0.5762 (-0.5762) time: 0.3541 data: 0.0003 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:50 tlr: 5.5e-05 tnm: 0.56 Lm: 6.555 (6.555) Lt: 5.797 (5.797) Accm: 3.10 (3.10) Acct: 4.98 (4.98) proj_loss: -0.6264 (-0.6264) time: 0.3540 data: 0.0004 [11-24 15:58:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:50 tlr: 5.5e-05 tnm: 0.56 Lm: 6.653 (6.653) Lt: 5.917 (5.917) Accm: 2.94 (2.94) Acct: 4.91 (4.91) proj_loss: -0.6094 (-0.6094) time: 0.3541 data: 0.0004 [11-24 16:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:07:43 tlr: 5.5e-05 tnm: 0.56 Lm: 6.714 (6.714) Lt: 6.025 (6.025) Accm: 2.78 (2.78) Acct: 4.51 (4.51) proj_loss: -0.6070 (-0.6070) time: 0.3601 data: 0.0002 [11-24 16:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:07:43 tlr: 5.5e-05 tnm: 0.56 Lm: 6.675 (6.675) Lt: 5.923 (5.923) Accm: 2.75 (2.75) Acct: 4.46 (4.46) proj_loss: -0.6125 (-0.6125) time: 0.3601 data: 0.0004 [11-24 16:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:07:43 tlr: 5.5e-05 tnm: 0.56 Lm: 6.747 (6.747) Lt: 6.077 (6.077) Accm: 2.74 (2.74) Acct: 4.19 (4.19) proj_loss: -0.6035 (-0.6035) time: 0.3601 data: 0.0003 [11-24 16:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:07:43 tlr: 5.5e-05 tnm: 0.56 Lm: 6.698 (6.698) Lt: 5.987 (5.987) Accm: 2.96 (2.96) Acct: 4.53 (4.53) proj_loss: -0.5805 (-0.5805) time: 0.3601 data: 0.0003 [11-24 16:04:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:05:08 tlr: 5.5e-05 tnm: 0.55 Lm: 6.729 (6.708) Lt: 6.009 (5.994) Accm: 2.80 (2.91) Acct: 4.27 (4.43) proj_loss: -0.5849 (-0.5884) time: 0.3628 data: 0.0002 [11-24 16:04:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:05:08 tlr: 5.5e-05 tnm: 0.55 Lm: 6.658 (6.669) Lt: 5.953 (5.933) Accm: 2.94 (2.81) Acct: 4.65 (4.52) proj_loss: -0.6264 (-0.6212) time: 0.3628 data: 0.0003 [11-24 16:04:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:05:08 tlr: 5.5e-05 tnm: 0.55 Lm: 6.678 (6.702) Lt: 5.917 (5.986) Accm: 2.91 (2.82) Acct: 4.65 (4.56) proj_loss: -0.6047 (-0.5950) time: 0.3628 data: 0.0002 [11-24 16:04:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:05:08 tlr: 5.5e-05 tnm: 0.55 Lm: 6.722 (6.681) Lt: 6.019 (5.994) Accm: 2.79 (2.89) Acct: 4.32 (4.37) proj_loss: -0.6043 (-0.6061) time: 0.3628 data: 0.0002 [11-24 16:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:02:36 tlr: 5.4e-05 tnm: 0.55 Lm: 6.709 (6.684) Lt: 5.985 (5.983) Accm: 2.89 (2.92) Acct: 4.43 (4.42) proj_loss: -0.6042 (-0.6056) time: 0.3622 data: 0.0003 [11-24 16:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:02:36 tlr: 5.4e-05 tnm: 0.55 Lm: 6.645 (6.660) Lt: 5.941 (5.932) Accm: 3.02 (2.89) Acct: 4.81 (4.67) proj_loss: -0.6173 (-0.6179) time: 0.3623 data: 0.0003 [11-24 16:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:02:36 tlr: 5.4e-05 tnm: 0.55 Lm: 6.748 (6.726) Lt: 6.018 (6.023) Accm: 2.79 (2.83) Acct: 4.25 (4.36) proj_loss: -0.5938 (-0.5920) time: 0.3622 data: 0.0002 [11-24 16:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:02:36 tlr: 5.4e-05 tnm: 0.55 Lm: 6.665 (6.677) Lt: 5.912 (5.965) Accm: 2.92 (2.90) Acct: 4.70 (4.61) proj_loss: -0.6070 (-0.5991) time: 0.3622 data: 0.0003 [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.54 Lm: 6.659 (6.673) Lt: 5.917 (5.963) Accm: 2.91 (2.89) Acct: 4.65 (4.58) proj_loss: -0.6089 (-0.6010) time: 0.4557 data: 0.0019 [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:10:28 (0.377 s / it) [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.54 Lm: 6.658 (6.673) Lt: 5.953 (5.948) Accm: 2.97 (2.91) Acct: 4.67 (4.67) proj_loss: -0.6082 (-0.6143) time: 0.4557 data: 0.0019 [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.54 Lm: 6.695 (6.679) Lt: 5.971 (5.981) Accm: 2.99 (2.96) Acct: 4.55 (4.46) proj_loss: -0.6043 (-0.6079) time: 0.4557 data: 0.0015 [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.54 Lm: 6.729 (6.704) Lt: 6.009 (5.990) Accm: 2.80 (2.92) Acct: 4.27 (4.51) proj_loss: -0.5895 (-0.5915) time: 0.4557 data: 0.0016 [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:10:28 (0.377 s / it) [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:10:28 (0.377 s / it) [11-24 16:09:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:10:28 (0.377 s / it) [11-24 16:09:19] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.685 (6.698), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:09:37, Finish: 2024-11-24 12:18 [11-24 16:09:19] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.685 (6.698), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:09:57, Finish: 2024-11-24 12:19 [11-24 16:09:19] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.685 (6.698), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:09:53, Finish: 2024-11-24 12:19 [11-24 16:09:19] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.685 (6.698), Lt: 5.973 (5.990), Acc m&t: 2.91 4.56, Remain: 12:09:37, Finish: 2024-11-24 12:18 [11-24 16:09:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:09:58 tlr: 5.4e-05 tnm: 0.56 Lm: 6.663 (6.663) Lt: 5.957 (5.957) Accm: 3.00 (3.00) Acct: 4.58 (4.58) proj_loss: -0.6001 (-0.6001) time: 0.3587 data: 0.0004 [11-24 16:09:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:09:57 tlr: 5.4e-05 tnm: 0.56 Lm: 6.763 (6.763) Lt: 6.071 (6.071) Accm: 2.48 (2.48) Acct: 3.99 (3.99) proj_loss: -0.5996 (-0.5996) time: 0.3583 data: 0.0004 [11-24 16:09:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:09:56 tlr: 5.4e-05 tnm: 0.56 Lm: 6.732 (6.732) Lt: 5.983 (5.983) Accm: 2.99 (2.99) Acct: 4.63 (4.63) proj_loss: -0.5957 (-0.5957) time: 0.3571 data: 0.0003 [11-24 16:09:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:09:58 tlr: 5.4e-05 tnm: 0.56 Lm: 6.774 (6.774) Lt: 6.101 (6.101) Accm: 2.78 (2.78) Acct: 4.27 (4.27) proj_loss: -0.6063 (-0.6063) time: 0.3588 data: 0.0004 [11-24 16:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:07:42 tlr: 5.4e-05 tnm: 0.56 Lm: 6.794 (6.794) Lt: 6.104 (6.104) Accm: 2.67 (2.67) Acct: 4.09 (4.09) proj_loss: -0.6073 (-0.6073) time: 0.3640 data: 0.0002 [11-24 16:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:07:42 tlr: 5.4e-05 tnm: 0.56 Lm: 6.668 (6.668) Lt: 5.943 (5.943) Accm: 2.95 (2.95) Acct: 4.50 (4.50) proj_loss: -0.6095 (-0.6095) time: 0.3640 data: 0.0003 [11-24 16:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:07:42 tlr: 5.4e-05 tnm: 0.56 Lm: 6.726 (6.726) Lt: 6.034 (6.034) Accm: 2.65 (2.65) Acct: 4.10 (4.10) proj_loss: -0.6081 (-0.6081) time: 0.3640 data: 0.0003 [11-24 16:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:07:42 tlr: 5.4e-05 tnm: 0.56 Lm: 6.697 (6.697) Lt: 5.956 (5.956) Accm: 2.98 (2.98) Acct: 4.66 (4.66) proj_loss: -0.5948 (-0.5948) time: 0.3640 data: 0.0003 [11-24 16:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:05:06 tlr: 5.4e-05 tnm: 0.55 Lm: 6.732 (6.713) Lt: 5.983 (5.975) Accm: 2.97 (2.89) Acct: 4.63 (4.52) proj_loss: -0.5957 (-0.5983) time: 0.3620 data: 0.0002 [11-24 16:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:05:06 tlr: 5.4e-05 tnm: 0.55 Lm: 6.663 (6.666) Lt: 5.957 (5.954) Accm: 2.91 (2.90) Acct: 4.42 (4.45) proj_loss: -0.6001 (-0.6031) time: 0.3620 data: 0.0003 [11-24 16:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:05:06 tlr: 5.4e-05 tnm: 0.55 Lm: 6.690 (6.702) Lt: 5.998 (5.996) Accm: 2.83 (2.73) Acct: 4.20 (4.28) proj_loss: -0.6165 (-0.6113) time: 0.3620 data: 0.0003 [11-24 16:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:05:06 tlr: 5.4e-05 tnm: 0.55 Lm: 6.788 (6.792) Lt: 6.101 (6.098) Accm: 2.75 (2.69) Acct: 4.06 (4.08) proj_loss: -0.6063 (-0.5973) time: 0.3620 data: 0.0002 [11-24 16:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:02:33 tlr: 5.4e-05 tnm: 0.55 Lm: 6.781 (6.772) Lt: 6.094 (6.071) Accm: 2.76 (2.79) Acct: 4.17 (4.26) proj_loss: -0.5999 (-0.5964) time: 0.3634 data: 0.0002 [11-24 16:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:02:33 tlr: 5.4e-05 tnm: 0.55 Lm: 6.699 (6.704) Lt: 6.014 (6.004) Accm: 2.75 (2.72) Acct: 4.10 (4.21) proj_loss: -0.6104 (-0.6095) time: 0.3634 data: 0.0003 [11-24 16:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:02:33 tlr: 5.4e-05 tnm: 0.55 Lm: 6.735 (6.719) Lt: 5.986 (5.979) Accm: 2.90 (2.87) Acct: 4.58 (4.52) proj_loss: -0.5948 (-0.5956) time: 0.3634 data: 0.0003 [11-24 16:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:02:33 tlr: 5.4e-05 tnm: 0.55 Lm: 6.668 (6.681) Lt: 5.967 (5.977) Accm: 2.91 (2.90) Acct: 4.50 (4.51) proj_loss: -0.6074 (-0.6060) time: 0.3634 data: 0.0003 [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.55 Lm: 6.663 (6.666) Lt: 5.957 (5.958) Accm: 2.91 (2.93) Acct: 4.58 (4.55) proj_loss: -0.6148 (-0.6080) time: 0.3652 data: 0.0016 [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:10:10 (0.366 s / it) [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.55 Lm: 6.709 (6.710) Lt: 6.030 (6.013) Accm: 2.82 (2.74) Acct: 4.20 (4.25) proj_loss: -0.6043 (-0.6067) time: 0.3652 data: 0.0016 [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.55 Lm: 6.774 (6.746) Lt: 6.086 (6.036) Accm: 2.78 (2.80) Acct: 4.27 (4.34) proj_loss: -0.5935 (-0.5933) time: 0.3652 data: 0.0018 [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.55 Lm: 6.732 (6.710) Lt: 5.983 (5.975) Accm: 2.89 (2.88) Acct: 4.60 (4.54) proj_loss: -0.5942 (-0.5953) time: 0.3652 data: 0.0015 [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:10:10 (0.366 s / it) [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:10:10 (0.366 s / it) [11-24 16:19:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:10:10 (0.366 s / it) [11-24 16:21:45] (home/user/VAR/trainer.py, line 114)=> FID: 3.9127697181601206 [11-24 16:21:46] (/home/user/VAR/train.py , line 259)=> [*] [ep279] (val 50000) Lm: 6.6861, Lt: 5.9689, Acc m&t: 2.90 4.54, Val cost: 135.84s [11-24 16:21:46] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 16:21:56] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.685 (6.686), Lt: 5.969 (5.969), Acc m&t: 2.91 4.56, Remain: 11:52:23, Finish: 2024-11-24 12:11 [11-24 16:21:56] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.685 (6.686), Lt: 5.969 (5.969), Acc m&t: 2.91 4.56, Remain: 11:52:05, Finish: 2024-11-24 12:11 [11-24 16:21:56] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.685 (6.686), Lt: 5.969 (5.969), Acc m&t: 2.91 4.56, Remain: 11:52:22, Finish: 2024-11-24 12:11 [11-24 16:21:56] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.685 (6.686), Lt: 5.969 (5.969), Acc m&t: 2.91 4.56, Remain: 11:52:00, Finish: 2024-11-24 12:11 [11-24 16:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:10:08 tlr: 5.3e-05 tnm: 0.55 Lm: 6.669 (6.669) Lt: 5.978 (5.978) Accm: 3.12 (3.12) Acct: 5.01 (5.01) proj_loss: -0.5884 (-0.5884) time: 0.3646 data: 0.0004 [11-24 16:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:10:07 tlr: 5.3e-05 tnm: 0.55 Lm: 6.863 (6.863) Lt: 6.249 (6.249) Accm: 2.32 (2.32) Acct: 3.15 (3.15) proj_loss: -0.6192 (-0.6192) time: 0.3642 data: 0.0003 [11-24 16:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:10:08 tlr: 5.3e-05 tnm: 0.55 Lm: 6.603 (6.603) Lt: 5.847 (5.847) Accm: 2.92 (2.92) Acct: 4.55 (4.55) proj_loss: -0.6039 (-0.6039) time: 0.3649 data: 0.0004 [11-24 16:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:10:13 tlr: 5.3e-05 tnm: 0.55 Lm: 6.654 (6.654) Lt: 5.944 (5.944) Accm: 2.72 (2.72) Acct: 4.22 (4.22) proj_loss: -0.6265 (-0.6265) time: 0.3674 data: 0.0004 [11-24 16:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:07:37 tlr: 5.3e-05 tnm: 0.54 Lm: 6.676 (6.676) Lt: 5.980 (5.980) Accm: 2.83 (2.83) Acct: 4.21 (4.21) proj_loss: -0.6204 (-0.6204) time: 0.4113 data: 0.0002 [11-24 16:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:07:37 tlr: 5.3e-05 tnm: 0.54 Lm: 6.716 (6.716) Lt: 6.030 (6.030) Accm: 2.88 (2.88) Acct: 4.53 (4.53) proj_loss: -0.5933 (-0.5933) time: 0.4113 data: 0.0003 [11-24 16:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:07:37 tlr: 5.3e-05 tnm: 0.54 Lm: 6.809 (6.809) Lt: 6.189 (6.189) Accm: 2.59 (2.59) Acct: 3.71 (3.71) proj_loss: -0.6190 (-0.6190) time: 0.4113 data: 0.0003 [11-24 16:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:07:37 tlr: 5.3e-05 tnm: 0.54 Lm: 6.568 (6.568) Lt: 5.822 (5.822) Accm: 3.16 (3.16) Acct: 4.92 (4.92) proj_loss: -0.5990 (-0.5990) time: 0.4113 data: 0.0003 [11-24 16:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:05:03 tlr: 5.3e-05 tnm: 0.58 Lm: 6.603 (6.616) Lt: 5.847 (5.894) Accm: 2.92 (3.04) Acct: 4.55 (4.75) proj_loss: -0.6039 (-0.6027) time: 0.3642 data: 0.0002 [11-24 16:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:05:03 tlr: 5.3e-05 tnm: 0.58 Lm: 6.669 (6.680) Lt: 5.978 (5.970) Accm: 3.12 (2.99) Acct: 5.01 (4.72) proj_loss: -0.5983 (-0.5959) time: 0.3642 data: 0.0003 [11-24 16:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:05:03 tlr: 5.3e-05 tnm: 0.58 Lm: 6.756 (6.772) Lt: 6.130 (6.122) Accm: 2.83 (2.67) Acct: 4.27 (4.01) proj_loss: -0.6188 (-0.6178) time: 0.3642 data: 0.0003 [11-24 16:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:05:03 tlr: 5.3e-05 tnm: 0.58 Lm: 6.654 (6.660) Lt: 5.944 (5.961) Accm: 2.94 (2.93) Acct: 4.22 (4.40) proj_loss: -0.6144 (-0.6160) time: 0.3642 data: 0.0003 [11-24 16:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:02:32 tlr: 5.3e-05 tnm: 0.57 Lm: 6.655 (6.659) Lt: 5.934 (5.938) Accm: 3.03 (2.98) Acct: 4.49 (4.55) proj_loss: -0.6107 (-0.6066) time: 0.3644 data: 0.0003 [11-24 16:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:02:32 tlr: 5.3e-05 tnm: 0.57 Lm: 6.678 (6.682) Lt: 5.978 (5.972) Accm: 3.11 (3.02) Acct: 4.80 (4.68) proj_loss: -0.5988 (-0.5968) time: 0.3644 data: 0.0003 [11-24 16:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:02:32 tlr: 5.3e-05 tnm: 0.57 Lm: 6.729 (6.754) Lt: 6.083 (6.101) Accm: 2.80 (2.69) Acct: 4.30 (4.09) proj_loss: -0.6190 (-0.6235) time: 0.3644 data: 0.0003 [11-24 16:29:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:02:32 tlr: 5.3e-05 tnm: 0.57 Lm: 6.658 (6.654) Lt: 5.943 (5.950) Accm: 2.86 (2.90) Acct: 4.48 (4.55) proj_loss: -0.6055 (-0.6038) time: 0.3644 data: 0.0003 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.56 Lm: 6.713 (6.685) Lt: 6.039 (5.990) Accm: 2.80 (2.85) Acct: 4.41 (4.49) proj_loss: -0.6071 (-0.6089) time: 0.3661 data: 0.0019 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:10:08 (0.364 s / it) [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.56 Lm: 6.669 (6.676) Lt: 5.978 (5.961) Accm: 3.10 (2.95) Acct: 4.58 (4.53) proj_loss: -0.5983 (-0.5955) time: 0.3661 data: 0.0020 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.56 Lm: 6.722 (6.748) Lt: 6.037 (6.082) Accm: 2.83 (2.74) Acct: 4.27 (4.12) proj_loss: -0.6188 (-0.6183) time: 0.3661 data: 0.0017 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.56 Lm: 6.654 (6.646) Lt: 5.924 (5.921) Accm: 3.01 (2.99) Acct: 4.77 (4.60) proj_loss: -0.6070 (-0.6037) time: 0.3661 data: 0.0018 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:10:08 (0.364 s / it) [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:10:08 (0.364 s / it) [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:10:08 (0.364 s / it) [11-24 16:32:04] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.685 (6.691), Lt: 5.969 (5.982), Acc m&t: 2.91 4.56, Remain: 11:44:41, Finish: 2024-11-24 12:16 [11-24 16:32:04] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.685 (6.691), Lt: 5.969 (5.982), Acc m&t: 2.91 4.56, Remain: 11:44:48, Finish: 2024-11-24 12:16 [11-24 16:32:04] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.685 (6.691), Lt: 5.969 (5.982), Acc m&t: 2.91 4.56, Remain: 11:44:37, Finish: 2024-11-24 12:16 [11-24 16:32:04] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.685 (6.691), Lt: 5.969 (5.982), Acc m&t: 2.91 4.56, Remain: 11:45:10, Finish: 2024-11-24 12:17 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:09:56 tlr: 5.3e-05 tnm: 0.56 Lm: 6.640 (6.640) Lt: 5.930 (5.930) Accm: 3.01 (3.01) Acct: 4.75 (4.75) proj_loss: -0.6057 (-0.6057) time: 0.3574 data: 0.0004 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:09:58 tlr: 5.3e-05 tnm: 0.56 Lm: 6.716 (6.716) Lt: 6.038 (6.038) Accm: 2.70 (2.70) Acct: 4.15 (4.15) proj_loss: -0.5956 (-0.5956) time: 0.3583 data: 0.0003 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:09:47 tlr: 5.3e-05 tnm: 0.56 Lm: 6.673 (6.673) Lt: 5.931 (5.931) Accm: 2.72 (2.72) Acct: 4.29 (4.29) proj_loss: -0.6023 (-0.6023) time: 0.3520 data: 0.0003 [11-24 16:32:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:10:30 tlr: 5.3e-05 tnm: 0.56 Lm: 6.854 (6.854) Lt: 6.164 (6.164) Accm: 2.45 (2.45) Acct: 3.84 (3.84) proj_loss: -0.5919 (-0.5919) time: 0.3778 data: 0.0003 [11-24 16:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:07:43 tlr: 5.3e-05 tnm: 0.56 Lm: 6.614 (6.614) Lt: 5.855 (5.855) Accm: 3.01 (3.01) Acct: 4.88 (4.88) proj_loss: -0.5910 (-0.5910) time: 0.3649 data: 0.0003 [11-24 16:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:07:43 tlr: 5.3e-05 tnm: 0.56 Lm: 6.721 (6.721) Lt: 6.020 (6.020) Accm: 2.99 (2.99) Acct: 4.69 (4.69) proj_loss: -0.6146 (-0.6146) time: 0.3649 data: 0.0003 [11-24 16:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:07:43 tlr: 5.3e-05 tnm: 0.56 Lm: 6.663 (6.663) Lt: 5.975 (5.975) Accm: 2.99 (2.99) Acct: 4.73 (4.73) proj_loss: -0.5987 (-0.5987) time: 0.3649 data: 0.0002 [11-24 16:34:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:07:43 tlr: 5.3e-05 tnm: 0.56 Lm: 6.695 (6.695) Lt: 5.963 (5.963) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.6042 (-0.6042) time: 0.3649 data: 0.0003 [11-24 16:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:05:12 tlr: 5.2e-05 tnm: 0.55 Lm: 6.718 (6.710) Lt: 5.995 (5.990) Accm: 2.72 (2.67) Acct: 4.29 (4.28) proj_loss: -0.6061 (-0.6069) time: 0.3628 data: 0.0002 [11-24 16:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:05:12 tlr: 5.2e-05 tnm: 0.55 Lm: 6.640 (6.666) Lt: 5.930 (5.944) Accm: 3.01 (3.05) Acct: 4.75 (4.87) proj_loss: -0.6057 (-0.6105) time: 0.3628 data: 0.0003 [11-24 16:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:05:12 tlr: 5.2e-05 tnm: 0.55 Lm: 6.660 (6.662) Lt: 6.012 (5.987) Accm: 2.91 (2.96) Acct: 4.42 (4.63) proj_loss: -0.6018 (-0.6089) time: 0.3628 data: 0.0002 [11-24 16:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:05:12 tlr: 5.2e-05 tnm: 0.55 Lm: 6.682 (6.637) Lt: 5.929 (5.880) Accm: 2.75 (2.92) Acct: 4.53 (4.76) proj_loss: -0.5919 (-0.5950) time: 0.3628 data: 0.0003 [11-24 16:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:02:36 tlr: 5.2e-05 tnm: 0.53 Lm: 6.736 (6.675) Lt: 5.987 (5.921) Accm: 2.69 (2.85) Acct: 4.46 (4.67) proj_loss: -0.5974 (-0.5975) time: 0.3628 data: 0.0003 [11-24 16:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:02:36 tlr: 5.2e-05 tnm: 0.53 Lm: 6.684 (6.681) Lt: 5.964 (5.958) Accm: 2.99 (3.03) Acct: 4.69 (4.77) proj_loss: -0.6040 (-0.6059) time: 0.3628 data: 0.0004 [11-24 16:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:02:36 tlr: 5.2e-05 tnm: 0.53 Lm: 6.676 (6.670) Lt: 5.986 (5.981) Accm: 2.92 (2.96) Acct: 4.50 (4.61) proj_loss: -0.5987 (-0.6013) time: 0.3628 data: 0.0002 [11-24 16:39:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:02:36 tlr: 5.2e-05 tnm: 0.53 Lm: 6.695 (6.690) Lt: 5.963 (5.973) Accm: 2.74 (2.73) Acct: 4.36 (4.39) proj_loss: -0.6046 (-0.6060) time: 0.3628 data: 0.0003 [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.56 Lm: 6.718 (6.716) Lt: 5.995 (5.996) Accm: 2.72 (2.72) Acct: 4.42 (4.42) proj_loss: -0.6031 (-0.6014) time: 0.3647 data: 0.0017 [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:10:28 (0.376 s / it) [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.56 Lm: 6.640 (6.662) Lt: 5.930 (5.933) Accm: 3.01 (3.04) Acct: 4.75 (4.82) proj_loss: -0.6023 (-0.6019) time: 0.3647 data: 0.0017 [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.56 Lm: 6.660 (6.633) Lt: 5.960 (5.941) Accm: 2.94 (3.08) Acct: 4.58 (4.73) proj_loss: -0.6018 (-0.6043) time: 0.3647 data: 0.0017 [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.56 Lm: 6.682 (6.673) Lt: 5.953 (5.927) Accm: 2.75 (2.88) Acct: 4.53 (4.67) proj_loss: -0.5926 (-0.5965) time: 0.3647 data: 0.0017 [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:10:28 (0.376 s / it) [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:10:28 (0.376 s / it) [11-24 16:42:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:10:28 (0.376 s / it) [11-24 16:42:32] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.685 (6.698), Lt: 5.969 (5.984), Acc m&t: 2.91 4.56, Remain: 11:31:29, Finish: 2024-11-24 12:14 [11-24 16:42:32] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.685 (6.698), Lt: 5.969 (5.984), Acc m&t: 2.91 4.56, Remain: 11:31:27, Finish: 2024-11-24 12:13 [11-24 16:42:32] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.685 (6.698), Lt: 5.969 (5.984), Acc m&t: 2.91 4.56, Remain: 11:31:51, Finish: 2024-11-24 12:14 [11-24 16:42:32] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.685 (6.698), Lt: 5.969 (5.984), Acc m&t: 2.91 4.56, Remain: 11:31:08, Finish: 2024-11-24 12:13 [11-24 16:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:09:53 tlr: 5.2e-05 tnm: 0.54 Lm: 6.600 (6.600) Lt: 5.946 (5.946) Accm: 3.09 (3.09) Acct: 4.75 (4.75) proj_loss: -0.6194 (-0.6194) time: 0.3556 data: 0.0004 [11-24 16:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:09:45 tlr: 5.2e-05 tnm: 0.54 Lm: 6.707 (6.707) Lt: 5.997 (5.997) Accm: 2.85 (2.85) Acct: 4.48 (4.48) proj_loss: -0.5932 (-0.5932) time: 0.3507 data: 0.0003 [11-24 16:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:09:47 tlr: 5.2e-05 tnm: 0.54 Lm: 6.559 (6.559) Lt: 5.837 (5.837) Accm: 3.04 (3.04) Acct: 4.77 (4.77) proj_loss: -0.6257 (-0.6257) time: 0.3520 data: 0.0004 [11-24 16:42:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:09:45 tlr: 5.2e-05 tnm: 0.54 Lm: 6.680 (6.680) Lt: 6.008 (6.008) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: -0.5961 (-0.5961) time: 0.3508 data: 0.0004 [11-24 16:45:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:07:36 tlr: 5.2e-05 tnm: 0.56 Lm: 6.678 (6.678) Lt: 5.978 (5.978) Accm: 2.77 (2.77) Acct: 4.37 (4.37) proj_loss: -0.6112 (-0.6112) time: 0.3604 data: 0.0003 [11-24 16:45:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:07:36 tlr: 5.2e-05 tnm: 0.56 Lm: 6.639 (6.639) Lt: 5.938 (5.938) Accm: 3.01 (3.01) Acct: 4.78 (4.78) proj_loss: -0.6252 (-0.6252) time: 0.3604 data: 0.0003 [11-24 16:45:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:07:36 tlr: 5.2e-05 tnm: 0.56 Lm: 6.729 (6.729) Lt: 6.059 (6.059) Accm: 2.79 (2.79) Acct: 4.29 (4.29) proj_loss: -0.6028 (-0.6028) time: 0.3604 data: 0.0002 [11-24 16:45:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:07:36 tlr: 5.2e-05 tnm: 0.56 Lm: 6.667 (6.667) Lt: 5.972 (5.972) Accm: 2.80 (2.80) Acct: 4.49 (4.49) proj_loss: -0.6144 (-0.6144) time: 0.3604 data: 0.0003 [11-24 16:47:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:05:04 tlr: 5.2e-05 tnm: 0.58 Lm: 6.660 (6.665) Lt: 5.936 (5.960) Accm: 2.74 (2.78) Acct: 4.39 (4.45) proj_loss: -0.6031 (-0.6067) time: 0.3623 data: 0.0003 [11-24 16:47:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:05:04 tlr: 5.2e-05 tnm: 0.58 Lm: 6.677 (6.663) Lt: 5.929 (5.934) Accm: 2.94 (2.97) Acct: 4.75 (4.70) proj_loss: -0.6194 (-0.6121) time: 0.3623 data: 0.0003 [11-24 16:47:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:05:04 tlr: 5.2e-05 tnm: 0.58 Lm: 6.707 (6.667) Lt: 5.997 (5.968) Accm: 2.85 (3.01) Acct: 4.48 (4.72) proj_loss: -0.5948 (-0.6001) time: 0.3623 data: 0.0002 [11-24 16:47:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:05:04 tlr: 5.2e-05 tnm: 0.58 Lm: 6.680 (6.683) Lt: 5.948 (5.960) Accm: 2.77 (2.77) Acct: 4.51 (4.42) proj_loss: -0.5961 (-0.6055) time: 0.3623 data: 0.0003 [11-24 16:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:02:32 tlr: 5.1e-05 tnm: 0.57 Lm: 6.688 (6.672) Lt: 5.938 (5.951) Accm: 2.91 (2.94) Acct: 4.65 (4.63) proj_loss: -0.6184 (-0.6134) time: 0.3638 data: 0.0003 [11-24 16:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:02:32 tlr: 5.1e-05 tnm: 0.57 Lm: 6.729 (6.690) Lt: 6.052 (6.003) Accm: 2.79 (2.92) Acct: 4.29 (4.52) proj_loss: -0.5995 (-0.6012) time: 0.3638 data: 0.0003 [11-24 16:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:02:32 tlr: 5.1e-05 tnm: 0.57 Lm: 6.692 (6.679) Lt: 5.967 (5.969) Accm: 2.75 (2.78) Acct: 4.33 (4.41) proj_loss: -0.5975 (-0.6030) time: 0.3638 data: 0.0003 [11-24 16:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:02:32 tlr: 5.1e-05 tnm: 0.57 Lm: 6.678 (6.653) Lt: 5.937 (5.928) Accm: 2.82 (2.84) Acct: 4.56 (4.53) proj_loss: -0.5997 (-0.6049) time: 0.3638 data: 0.0003 [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.677 (6.640) Lt: 5.925 (5.913) Accm: 2.87 (2.94) Acct: 4.61 (4.70) proj_loss: -0.6009 (-0.6041) time: 0.3648 data: 0.0017 [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:10:09 (0.365 s / it) [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.699 (6.690) Lt: 5.946 (5.975) Accm: 2.88 (2.91) Acct: 4.55 (4.55) proj_loss: -0.6174 (-0.6078) time: 0.3648 data: 0.0019 [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.723 (6.691) Lt: 5.998 (5.982) Accm: 2.75 (2.80) Acct: 4.39 (4.43) proj_loss: -0.6031 (-0.6069) time: 0.3648 data: 0.0020 [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.707 (6.662) Lt: 5.997 (5.969) Accm: 2.85 (2.96) Acct: 4.48 (4.65) proj_loss: -0.6043 (-0.6036) time: 0.3648 data: 0.0020 [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:10:09 (0.365 s / it) [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:10:09 (0.365 s / it) [11-24 16:52:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:10:09 (0.365 s / it) [11-24 16:52:41] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.674 (6.674), Lt: 5.960 (5.960), Acc m&t: 2.94 4.61, Remain: 11:24:28, Finish: 2024-11-24 12:17 [11-24 16:52:41] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.674 (6.674), Lt: 5.960 (5.960), Acc m&t: 2.94 4.61, Remain: 11:24:20, Finish: 2024-11-24 12:17 [11-24 16:52:41] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.674 (6.674), Lt: 5.960 (5.960), Acc m&t: 2.94 4.61, Remain: 11:23:58, Finish: 2024-11-24 12:16 [11-24 16:52:41] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.674 (6.674), Lt: 5.960 (5.960), Acc m&t: 2.94 4.61, Remain: 11:24:30, Finish: 2024-11-24 12:17 [11-24 16:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:09:34 tlr: 5.1e-05 tnm: 0.57 Lm: 6.644 (6.644) Lt: 5.921 (5.921) Accm: 2.83 (2.83) Acct: 4.37 (4.37) proj_loss: -0.5941 (-0.5941) time: 0.3441 data: 0.0004 [11-24 16:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:09:35 tlr: 5.1e-05 tnm: 0.57 Lm: 6.764 (6.764) Lt: 6.007 (6.007) Accm: 2.67 (2.67) Acct: 4.12 (4.12) proj_loss: -0.6004 (-0.6004) time: 0.3445 data: 0.0003 [11-24 16:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:09:34 tlr: 5.1e-05 tnm: 0.57 Lm: 6.689 (6.689) Lt: 6.044 (6.044) Accm: 2.58 (2.58) Acct: 3.91 (3.91) proj_loss: -0.6327 (-0.6327) time: 0.3439 data: 0.0004 [11-24 16:52:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:09:35 tlr: 5.1e-05 tnm: 0.57 Lm: 6.743 (6.743) Lt: 6.071 (6.071) Accm: 2.62 (2.62) Acct: 3.94 (3.94) proj_loss: -0.6103 (-0.6103) time: 0.3445 data: 0.0004 [11-24 16:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:07:33 tlr: 5.1e-05 tnm: 0.59 Lm: 6.712 (6.712) Lt: 6.014 (6.014) Accm: 2.80 (2.80) Acct: 4.28 (4.28) proj_loss: -0.6049 (-0.6049) time: 0.3628 data: 0.0003 [11-24 16:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:07:33 tlr: 5.1e-05 tnm: 0.59 Lm: 6.682 (6.682) Lt: 6.019 (6.019) Accm: 2.68 (2.68) Acct: 4.18 (4.18) proj_loss: -0.6282 (-0.6282) time: 0.3628 data: 0.0003 [11-24 16:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:07:33 tlr: 5.1e-05 tnm: 0.59 Lm: 6.699 (6.699) Lt: 5.967 (5.967) Accm: 2.91 (2.91) Acct: 4.36 (4.36) proj_loss: -0.5827 (-0.5827) time: 0.3628 data: 0.0003 [11-24 16:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:07:33 tlr: 5.1e-05 tnm: 0.59 Lm: 6.795 (6.795) Lt: 6.063 (6.063) Accm: 2.61 (2.61) Acct: 4.06 (4.06) proj_loss: -0.5934 (-0.5934) time: 0.3628 data: 0.0002 [11-24 16:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:05:02 tlr: 5.1e-05 tnm: 0.56 Lm: 6.764 (6.746) Lt: 6.007 (6.002) Accm: 2.67 (2.83) Acct: 4.12 (4.49) proj_loss: -0.5864 (-0.5909) time: 0.3644 data: 0.0002 [11-24 16:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:05:02 tlr: 5.1e-05 tnm: 0.56 Lm: 6.689 (6.692) Lt: 6.007 (6.015) Accm: 2.63 (2.67) Acct: 4.06 (4.14) proj_loss: -0.6237 (-0.6158) time: 0.3644 data: 0.0003 [11-24 16:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:05:02 tlr: 5.1e-05 tnm: 0.56 Lm: 6.682 (6.689) Lt: 5.962 (5.996) Accm: 2.94 (2.85) Acct: 4.55 (4.37) proj_loss: -0.5996 (-0.6006) time: 0.3644 data: 0.0002 [11-24 16:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:05:02 tlr: 5.1e-05 tnm: 0.56 Lm: 6.717 (6.705) Lt: 5.994 (5.976) Accm: 2.83 (2.88) Acct: 4.37 (4.38) proj_loss: -0.5890 (-0.5848) time: 0.3644 data: 0.0003 [11-24 17:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:02:31 tlr: 5.1e-05 tnm: 0.58 Lm: 6.716 (6.707) Lt: 5.990 (5.978) Accm: 2.86 (2.88) Acct: 4.40 (4.46) proj_loss: -0.5916 (-0.5945) time: 0.3615 data: 0.0003 [11-24 17:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:02:31 tlr: 5.1e-05 tnm: 0.58 Lm: 6.701 (6.702) Lt: 6.014 (6.016) Accm: 2.70 (2.69) Acct: 4.25 (4.23) proj_loss: -0.6153 (-0.6135) time: 0.3615 data: 0.0003 [11-24 17:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:02:31 tlr: 5.1e-05 tnm: 0.58 Lm: 6.766 (6.752) Lt: 6.043 (6.021) Accm: 2.62 (2.77) Acct: 4.06 (4.36) proj_loss: -0.5934 (-0.5972) time: 0.3615 data: 0.0003 [11-24 17:00:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:02:31 tlr: 5.1e-05 tnm: 0.58 Lm: 6.693 (6.693) Lt: 5.991 (6.002) Accm: 2.96 (2.89) Acct: 4.58 (4.48) proj_loss: -0.6014 (-0.6012) time: 0.3615 data: 0.0002 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.704 (6.695) Lt: 6.008 (6.003) Accm: 2.94 (2.84) Acct: 4.55 (4.40) proj_loss: -0.6033 (-0.6043) time: 0.3646 data: 0.0016 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.764 (6.731) Lt: 6.007 (6.004) Accm: 2.67 (2.84) Acct: 4.12 (4.43) proj_loss: -0.5910 (-0.5960) time: 0.3646 data: 0.0018 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.717 (6.711) Lt: 5.994 (5.997) Accm: 2.83 (2.85) Acct: 4.37 (4.41) proj_loss: -0.5941 (-0.6018) time: 0.3646 data: 0.0021 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.56 Lm: 6.701 (6.702) Lt: 6.007 (5.992) Accm: 2.76 (2.79) Acct: 4.44 (4.40) proj_loss: -0.6069 (-0.6095) time: 0.3647 data: 0.0019 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:02:49] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.674 (6.690), Lt: 5.960 (5.977), Acc m&t: 2.94 4.61, Remain: 11:14:10, Finish: 2024-11-24 12:16 [11-24 17:02:49] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.674 (6.690), Lt: 5.960 (5.977), Acc m&t: 2.94 4.61, Remain: 11:14:00, Finish: 2024-11-24 12:16 [11-24 17:02:49] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.674 (6.690), Lt: 5.960 (5.977), Acc m&t: 2.94 4.61, Remain: 11:13:35, Finish: 2024-11-24 12:16 [11-24 17:02:49] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.674 (6.690), Lt: 5.960 (5.977), Acc m&t: 2.94 4.61, Remain: 11:13:47, Finish: 2024-11-24 12:16 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:10:10 tlr: 5.1e-05 tnm: 0.56 Lm: 6.695 (6.695) Lt: 6.018 (6.018) Accm: 2.78 (2.78) Acct: 4.51 (4.51) proj_loss: -0.6100 (-0.6100) time: 0.3658 data: 0.0004 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:10:12 tlr: 5.1e-05 tnm: 0.56 Lm: 6.570 (6.570) Lt: 5.820 (5.820) Accm: 3.31 (3.31) Acct: 5.48 (5.48) proj_loss: -0.5915 (-0.5915) time: 0.3671 data: 0.0005 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:10:12 tlr: 5.1e-05 tnm: 0.56 Lm: 6.768 (6.768) Lt: 6.104 (6.104) Accm: 2.83 (2.83) Acct: 4.63 (4.63) proj_loss: -0.5933 (-0.5933) time: 0.3672 data: 0.0004 [11-24 17:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:10:15 tlr: 5.1e-05 tnm: 0.56 Lm: 6.708 (6.708) Lt: 5.971 (5.971) Accm: 3.13 (3.13) Acct: 5.04 (5.04) proj_loss: -0.6011 (-0.6011) time: 0.3687 data: 0.0004 [11-24 17:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:07:49 tlr: 5e-05 tnm: 0.55 Lm: 6.678 (6.678) Lt: 5.941 (5.941) Accm: 3.11 (3.11) Acct: 5.00 (5.00) proj_loss: -0.6088 (-0.6088) time: 0.3659 data: 0.0003 [11-24 17:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:07:49 tlr: 5e-05 tnm: 0.55 Lm: 6.679 (6.679) Lt: 5.992 (5.992) Accm: 2.99 (2.99) Acct: 4.80 (4.80) proj_loss: -0.6139 (-0.6139) time: 0.3659 data: 0.0002 [11-24 17:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:07:49 tlr: 5e-05 tnm: 0.55 Lm: 6.564 (6.564) Lt: 5.812 (5.812) Accm: 3.36 (3.36) Acct: 5.42 (5.42) proj_loss: -0.6003 (-0.6003) time: 0.3659 data: 0.0003 [11-24 17:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:07:49 tlr: 5e-05 tnm: 0.55 Lm: 6.741 (6.741) Lt: 6.037 (6.037) Accm: 2.74 (2.74) Acct: 4.44 (4.44) proj_loss: -0.6041 (-0.6041) time: 0.3660 data: 0.0003 [11-24 17:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:05:13 tlr: 5e-05 tnm: 0.57 Lm: 6.695 (6.681) Lt: 6.018 (5.970) Accm: 2.78 (3.01) Acct: 4.51 (4.72) proj_loss: -0.5982 (-0.6005) time: 0.4111 data: 0.0003 [11-24 17:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:05:13 tlr: 5e-05 tnm: 0.57 Lm: 6.570 (6.588) Lt: 5.820 (5.835) Accm: 3.31 (3.22) Acct: 5.37 (5.24) proj_loss: -0.6015 (-0.6007) time: 0.4111 data: 0.0003 [11-24 17:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:05:13 tlr: 5e-05 tnm: 0.57 Lm: 6.653 (6.670) Lt: 5.925 (5.936) Accm: 3.10 (3.09) Acct: 4.96 (4.89) proj_loss: -0.6019 (-0.6065) time: 0.4111 data: 0.0003 [11-24 17:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:05:13 tlr: 5e-05 tnm: 0.57 Lm: 6.743 (6.700) Lt: 5.974 (5.986) Accm: 2.83 (2.88) Acct: 4.63 (4.65) proj_loss: -0.6037 (-0.6105) time: 0.4111 data: 0.0002 [11-24 17:10:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:02:36 tlr: 5e-05 tnm: 0.57 Lm: 6.667 (6.648) Lt: 5.927 (5.925) Accm: 2.99 (3.01) Acct: 4.80 (4.76) proj_loss: -0.5985 (-0.6042) time: 0.3658 data: 0.0003 [11-24 17:10:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:02:36 tlr: 5e-05 tnm: 0.57 Lm: 6.680 (6.713) Lt: 5.948 (5.978) Accm: 3.07 (3.03) Acct: 4.81 (4.81) proj_loss: -0.6015 (-0.6042) time: 0.3658 data: 0.0002 [11-24 17:10:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:02:36 tlr: 5e-05 tnm: 0.57 Lm: 6.676 (6.675) Lt: 5.966 (5.956) Accm: 2.89 (3.01) Acct: 4.68 (4.76) proj_loss: -0.5958 (-0.5987) time: 0.3658 data: 0.0002 [11-24 17:10:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:02:36 tlr: 5e-05 tnm: 0.57 Lm: 6.603 (6.626) Lt: 5.850 (5.879) Accm: 3.13 (3.07) Acct: 5.12 (5.05) proj_loss: -0.6008 (-0.6006) time: 0.3658 data: 0.0003 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.57 Lm: 6.599 (6.621) Lt: 5.880 (5.886) Accm: 2.96 (3.03) Acct: 4.87 (4.92) proj_loss: -0.6015 (-0.6012) time: 0.3637 data: 0.0017 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:10:27 (0.376 s / it) [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.57 Lm: 6.653 (6.697) Lt: 5.925 (5.967) Accm: 3.10 (3.06) Acct: 4.91 (4.83) proj_loss: -0.6011 (-0.6025) time: 0.3637 data: 0.0018 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.57 Lm: 6.613 (6.641) Lt: 5.932 (5.927) Accm: 3.15 (3.04) Acct: 4.72 (4.75) proj_loss: -0.6037 (-0.6047) time: 0.3637 data: 0.0017 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.57 Lm: 6.656 (6.668) Lt: 5.933 (5.951) Accm: 3.00 (3.02) Acct: 4.86 (4.81) proj_loss: -0.5982 (-0.6039) time: 0.3637 data: 0.0016 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:10:27 (0.376 s / it) [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:10:27 (0.376 s / it) [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:10:27 (0.376 s / it) [11-24 17:13:17] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.674 (6.689), Lt: 5.960 (5.981), Acc m&t: 2.94 4.61, Remain: 11:05:14, Finish: 2024-11-24 12:18 [11-24 17:13:17] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.674 (6.689), Lt: 5.960 (5.981), Acc m&t: 2.94 4.61, Remain: 11:05:20, Finish: 2024-11-24 12:18 [11-24 17:13:17] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.674 (6.689), Lt: 5.960 (5.981), Acc m&t: 2.94 4.61, Remain: 11:05:17, Finish: 2024-11-24 12:18 [11-24 17:13:17] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.674 (6.689), Lt: 5.960 (5.981), Acc m&t: 2.94 4.61, Remain: 11:05:19, Finish: 2024-11-24 12:18 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:09:55 tlr: 5e-05 tnm: 0.58 Lm: 6.596 (6.596) Lt: 5.912 (5.912) Accm: 2.95 (2.95) Acct: 4.48 (4.48) proj_loss: -0.6159 (-0.6159) time: 0.3569 data: 0.0004 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:09:47 tlr: 5e-05 tnm: 0.58 Lm: 6.642 (6.642) Lt: 5.918 (5.918) Accm: 2.81 (2.81) Acct: 4.46 (4.46) proj_loss: -0.6145 (-0.6145) time: 0.3522 data: 0.0004 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:09:54 tlr: 5e-05 tnm: 0.58 Lm: 6.753 (6.753) Lt: 6.108 (6.108) Accm: 2.43 (2.43) Acct: 3.86 (3.86) proj_loss: -0.6235 (-0.6235) time: 0.3565 data: 0.0003 [11-24 17:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:09:48 tlr: 5e-05 tnm: 0.58 Lm: 6.858 (6.858) Lt: 6.156 (6.156) Accm: 2.45 (2.45) Acct: 3.93 (3.93) proj_loss: -0.5931 (-0.5931) time: 0.3526 data: 0.0004 [11-24 17:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:07:42 tlr: 5e-05 tnm: 0.57 Lm: 6.669 (6.669) Lt: 5.999 (5.999) Accm: 2.74 (2.74) Acct: 4.19 (4.19) proj_loss: -0.6094 (-0.6094) time: 0.3649 data: 0.0003 [11-24 17:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:07:42 tlr: 5e-05 tnm: 0.57 Lm: 6.754 (6.754) Lt: 6.071 (6.071) Accm: 2.54 (2.54) Acct: 3.97 (3.97) proj_loss: -0.6167 (-0.6167) time: 0.3649 data: 0.0003 [11-24 17:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:07:42 tlr: 5e-05 tnm: 0.57 Lm: 6.602 (6.602) Lt: 5.894 (5.894) Accm: 3.03 (3.03) Acct: 4.80 (4.80) proj_loss: -0.6144 (-0.6144) time: 0.3649 data: 0.0003 [11-24 17:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:07:42 tlr: 5e-05 tnm: 0.57 Lm: 6.655 (6.655) Lt: 5.906 (5.906) Accm: 3.08 (3.08) Acct: 4.91 (4.91) proj_loss: -0.6015 (-0.6015) time: 0.3649 data: 0.0003 [11-24 17:18:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:05:06 tlr: 4.9e-05 tnm: 0.59 Lm: 6.787 (6.699) Lt: 6.106 (5.973) Accm: 2.74 (2.97) Acct: 4.25 (4.69) proj_loss: -0.5931 (-0.5969) time: 0.4098 data: 0.0003 [11-24 17:18:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:05:06 tlr: 4.9e-05 tnm: 0.59 Lm: 6.642 (6.649) Lt: 5.918 (5.965) Accm: 2.81 (2.88) Acct: 4.46 (4.45) proj_loss: -0.6145 (-0.6160) time: 0.4098 data: 0.0003 [11-24 17:18:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:05:06 tlr: 4.9e-05 tnm: 0.59 Lm: 6.665 (6.667) Lt: 5.917 (5.972) Accm: 2.90 (2.79) Acct: 4.48 (4.38) proj_loss: -0.6123 (-0.6103) time: 0.4098 data: 0.0003 [11-24 17:18:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:05:06 tlr: 4.9e-05 tnm: 0.59 Lm: 6.754 (6.754) Lt: 6.033 (6.058) Accm: 2.65 (2.60) Acct: 4.08 (4.04) proj_loss: -0.6099 (-0.6140) time: 0.4098 data: 0.0003 [11-24 17:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:02:33 tlr: 4.9e-05 tnm: 0.57 Lm: 6.753 (6.695) Lt: 6.033 (6.007) Accm: 2.68 (2.76) Acct: 4.13 (4.22) proj_loss: -0.6111 (-0.6136) time: 0.3641 data: 0.0003 [11-24 17:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:02:33 tlr: 4.9e-05 tnm: 0.57 Lm: 6.656 (6.662) Lt: 5.925 (5.962) Accm: 2.92 (2.84) Acct: 4.58 (4.46) proj_loss: -0.6075 (-0.6037) time: 0.3641 data: 0.0003 [11-24 17:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:02:33 tlr: 4.9e-05 tnm: 0.57 Lm: 6.649 (6.651) Lt: 5.922 (5.955) Accm: 2.78 (2.84) Acct: 4.31 (4.38) proj_loss: -0.6144 (-0.6143) time: 0.3641 data: 0.0003 [11-24 17:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:02:33 tlr: 4.9e-05 tnm: 0.57 Lm: 6.661 (6.658) Lt: 5.924 (5.915) Accm: 3.00 (3.04) Acct: 4.75 (4.83) proj_loss: -0.5939 (-0.5964) time: 0.3641 data: 0.0003 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.56 Lm: 6.648 (6.656) Lt: 5.926 (5.917) Accm: 3.04 (3.04) Acct: 4.87 (4.84) proj_loss: -0.5931 (-0.5957) time: 0.3648 data: 0.0019 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:10:09 (0.365 s / it) [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.56 Lm: 6.665 (6.692) Lt: 5.932 (5.987) Accm: 2.90 (2.81) Acct: 4.48 (4.41) proj_loss: -0.6028 (-0.6011) time: 0.3648 data: 0.0017 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.56 Lm: 6.753 (6.659) Lt: 6.033 (5.966) Accm: 2.71 (2.92) Acct: 4.18 (4.43) proj_loss: -0.6099 (-0.6126) time: 0.3648 data: 0.0018 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:10:09 (0.365 s / it) [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:10:09 (0.365 s / it) [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.56 Lm: 6.656 (6.658) Lt: 5.918 (5.946) Accm: 2.81 (2.85) Acct: 4.46 (4.42) proj_loss: -0.6143 (-0.6094) time: 0.3649 data: 0.0018 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:10:10 (0.365 s / it) [11-24 17:23:27] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.674 (6.682), Lt: 5.960 (5.972), Acc m&t: 2.94 4.61, Remain: 10:52:02, Finish: 2024-11-24 12:15 [11-24 17:23:27] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.674 (6.682), Lt: 5.960 (5.972), Acc m&t: 2.94 4.61, Remain: 10:51:51, Finish: 2024-11-24 12:15 [11-24 17:23:27] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.674 (6.682), Lt: 5.960 (5.972), Acc m&t: 2.94 4.61, Remain: 10:52:22, Finish: 2024-11-24 12:15 [11-24 17:23:27] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.674 (6.682), Lt: 5.960 (5.972), Acc m&t: 2.94 4.61, Remain: 10:51:54, Finish: 2024-11-24 12:15 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:10:26 tlr: 4.9e-05 tnm: 0.57 Lm: 6.660 (6.660) Lt: 5.964 (5.964) Accm: 2.87 (2.87) Acct: 4.65 (4.65) proj_loss: -0.6085 (-0.6085) time: 0.3755 data: 0.0004 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:10:28 tlr: 4.9e-05 tnm: 0.57 Lm: 6.771 (6.771) Lt: 6.034 (6.034) Accm: 2.82 (2.82) Acct: 4.67 (4.67) proj_loss: -0.5751 (-0.5751) time: 0.3763 data: 0.0003 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:10:25 tlr: 4.9e-05 tnm: 0.57 Lm: 6.700 (6.700) Lt: 5.983 (5.983) Accm: 2.78 (2.78) Acct: 4.20 (4.20) proj_loss: -0.5972 (-0.5972) time: 0.3750 data: 0.0004 [11-24 17:23:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:10:28 tlr: 4.9e-05 tnm: 0.57 Lm: 6.644 (6.644) Lt: 5.853 (5.853) Accm: 3.21 (3.21) Acct: 5.04 (5.04) proj_loss: -0.5981 (-0.5981) time: 0.3764 data: 0.0004 [11-24 17:25:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:07:34 tlr: 4.9e-05 tnm: 0.56 Lm: 6.691 (6.691) Lt: 5.932 (5.932) Accm: 2.96 (2.96) Acct: 4.59 (4.59) proj_loss: -0.5949 (-0.5949) time: 0.3621 data: 0.0003 [11-24 17:25:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:07:34 tlr: 4.9e-05 tnm: 0.56 Lm: 6.683 (6.683) Lt: 5.968 (5.968) Accm: 2.92 (2.92) Acct: 4.78 (4.78) proj_loss: -0.5997 (-0.5997) time: 0.3621 data: 0.0003 [11-24 17:25:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:07:34 tlr: 4.9e-05 tnm: 0.56 Lm: 6.758 (6.758) Lt: 6.020 (6.020) Accm: 2.71 (2.71) Acct: 4.42 (4.42) proj_loss: -0.5909 (-0.5909) time: 0.3621 data: 0.0003 [11-24 17:25:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:07:34 tlr: 4.9e-05 tnm: 0.56 Lm: 6.626 (6.626) Lt: 5.887 (5.887) Accm: 3.03 (3.03) Acct: 4.64 (4.64) proj_loss: -0.6065 (-0.6065) time: 0.3621 data: 0.0003 [11-24 17:28:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:05:02 tlr: 4.9e-05 tnm: 0.56 Lm: 6.700 (6.675) Lt: 5.983 (5.940) Accm: 2.78 (2.85) Acct: 4.20 (4.37) proj_loss: -0.6001 (-0.6044) time: 0.3614 data: 0.0003 [11-24 17:28:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:05:02 tlr: 4.9e-05 tnm: 0.56 Lm: 6.746 (6.699) Lt: 6.006 (5.983) Accm: 2.82 (2.93) Acct: 4.67 (4.56) proj_loss: -0.6067 (-0.5984) time: 0.3614 data: 0.0003 [11-24 17:28:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:05:02 tlr: 4.9e-05 tnm: 0.56 Lm: 6.738 (6.729) Lt: 6.012 (5.986) Accm: 2.70 (2.86) Acct: 4.29 (4.49) proj_loss: -0.5936 (-0.5945) time: 0.3614 data: 0.0003 [11-24 17:28:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:05:02 tlr: 4.9e-05 tnm: 0.56 Lm: 6.705 (6.698) Lt: 5.971 (5.976) Accm: 2.96 (2.93) Acct: 4.91 (4.82) proj_loss: -0.5967 (-0.5987) time: 0.3614 data: 0.0003 [11-24 17:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:02:31 tlr: 4.9e-05 tnm: 0.57 Lm: 6.693 (6.693) Lt: 5.971 (5.975) Accm: 2.91 (2.92) Acct: 4.86 (4.82) proj_loss: -0.6026 (-0.6052) time: 0.3635 data: 0.0003 [11-24 17:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:02:31 tlr: 4.9e-05 tnm: 0.57 Lm: 6.666 (6.664) Lt: 5.953 (5.936) Accm: 2.88 (2.88) Acct: 4.27 (4.36) proj_loss: -0.6060 (-0.6063) time: 0.3635 data: 0.0003 [11-24 17:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:02:31 tlr: 4.9e-05 tnm: 0.57 Lm: 6.759 (6.741) Lt: 6.027 (6.000) Accm: 2.82 (2.88) Acct: 4.40 (4.49) proj_loss: -0.5937 (-0.5943) time: 0.3635 data: 0.0003 [11-24 17:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:02:31 tlr: 4.9e-05 tnm: 0.57 Lm: 6.744 (6.710) Lt: 6.002 (5.986) Accm: 2.74 (2.86) Acct: 4.53 (4.52) proj_loss: -0.6064 (-0.6004) time: 0.3635 data: 0.0003 [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.58 Lm: 6.743 (6.714) Lt: 6.006 (5.996) Accm: 2.73 (2.84) Acct: 4.39 (4.49) proj_loss: -0.6061 (-0.5996) time: 0.3686 data: 0.0019 [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:10:08 (0.365 s / it) [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.58 Lm: 6.680 (6.688) Lt: 5.971 (5.974) Accm: 2.96 (2.97) Acct: 4.84 (4.82) proj_loss: -0.6021 (-0.6046) time: 0.3686 data: 0.0016 [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.58 Lm: 6.700 (6.682) Lt: 5.983 (5.961) Accm: 2.78 (2.86) Acct: 4.34 (4.37) proj_loss: -0.6119 (-0.6086) time: 0.3686 data: 0.0017 [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.58 Lm: 6.779 (6.751) Lt: 6.043 (6.013) Accm: 2.70 (2.80) Acct: 4.29 (4.42) proj_loss: -0.5936 (-0.5917) time: 0.3686 data: 0.0020 [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:10:08 (0.365 s / it) [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:10:08 (0.365 s / it) [11-24 17:33:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:10:08 (0.365 s / it) [11-24 17:33:35] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.674 (6.684), Lt: 5.960 (5.973), Acc m&t: 2.94 4.61, Remain: 10:48:30, Finish: 2024-11-24 12:22 [11-24 17:33:35] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.674 (6.684), Lt: 5.960 (5.973), Acc m&t: 2.94 4.61, Remain: 10:48:19, Finish: 2024-11-24 12:21 [11-24 17:33:35] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.674 (6.684), Lt: 5.960 (5.973), Acc m&t: 2.94 4.61, Remain: 10:48:32, Finish: 2024-11-24 12:22 [11-24 17:33:35] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.674 (6.684), Lt: 5.960 (5.973), Acc m&t: 2.94 4.61, Remain: 10:48:16, Finish: 2024-11-24 12:21 [11-24 17:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:09:36 tlr: 4.8e-05 tnm: 0.57 Lm: 6.696 (6.696) Lt: 5.955 (5.955) Accm: 2.84 (2.84) Acct: 4.55 (4.55) proj_loss: -0.6310 (-0.6310) time: 0.3452 data: 0.0003 [11-24 17:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:09:33 tlr: 4.8e-05 tnm: 0.57 Lm: 6.855 (6.855) Lt: 6.146 (6.146) Accm: 2.76 (2.76) Acct: 4.58 (4.58) proj_loss: -0.6115 (-0.6115) time: 0.3439 data: 0.0003 [11-24 17:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:09:36 tlr: 4.8e-05 tnm: 0.57 Lm: 6.641 (6.641) Lt: 5.842 (5.842) Accm: 2.99 (2.99) Acct: 4.87 (4.87) proj_loss: -0.5751 (-0.5751) time: 0.3456 data: 0.0004 [11-24 17:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:09:36 tlr: 4.8e-05 tnm: 0.57 Lm: 6.666 (6.666) Lt: 5.966 (5.966) Accm: 2.99 (2.99) Acct: 4.49 (4.49) proj_loss: -0.6262 (-0.6262) time: 0.3457 data: 0.0004 [11-24 17:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:07:45 tlr: 4.8e-05 tnm: 0.58 Lm: 6.675 (6.675) Lt: 6.003 (6.003) Accm: 2.94 (2.94) Acct: 4.42 (4.42) proj_loss: -0.6181 (-0.6181) time: 0.3632 data: 0.0003 [11-24 17:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:07:45 tlr: 4.8e-05 tnm: 0.58 Lm: 6.588 (6.588) Lt: 5.811 (5.811) Accm: 3.12 (3.12) Acct: 4.97 (4.97) proj_loss: -0.5771 (-0.5771) time: 0.3632 data: 0.0003 [11-24 17:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:07:45 tlr: 4.8e-05 tnm: 0.58 Lm: 6.758 (6.758) Lt: 6.040 (6.040) Accm: 2.72 (2.72) Acct: 4.18 (4.18) proj_loss: -0.6277 (-0.6277) time: 0.3632 data: 0.0003 [11-24 17:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:07:45 tlr: 4.8e-05 tnm: 0.58 Lm: 6.752 (6.752) Lt: 6.062 (6.062) Accm: 2.78 (2.78) Acct: 4.36 (4.36) proj_loss: -0.6149 (-0.6149) time: 0.3632 data: 0.0003 [11-24 17:38:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:05:14 tlr: 4.8e-05 tnm: 0.56 Lm: 6.676 (6.727) Lt: 5.979 (6.014) Accm: 2.77 (2.78) Acct: 4.34 (4.36) proj_loss: -0.6115 (-0.6094) time: 0.3624 data: 0.0003 [11-24 17:38:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:05:14 tlr: 4.8e-05 tnm: 0.56 Lm: 6.788 (6.768) Lt: 6.049 (6.043) Accm: 2.61 (2.67) Acct: 4.03 (4.13) proj_loss: -0.6244 (-0.6163) time: 0.3624 data: 0.0003 [11-24 17:38:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:05:14 tlr: 4.8e-05 tnm: 0.56 Lm: 6.666 (6.662) Lt: 5.966 (5.955) Accm: 2.99 (3.04) Acct: 4.49 (4.68) proj_loss: -0.6101 (-0.6066) time: 0.3624 data: 0.0003 [11-24 17:38:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:05:14 tlr: 4.8e-05 tnm: 0.56 Lm: 6.620 (6.599) Lt: 5.842 (5.829) Accm: 2.99 (3.03) Acct: 4.87 (4.81) proj_loss: -0.5790 (-0.5846) time: 0.3624 data: 0.0003 [11-24 17:41:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:02:36 tlr: 4.8e-05 tnm: 0.58 Lm: 6.742 (6.726) Lt: 6.002 (5.996) Accm: 2.72 (2.74) Acct: 4.29 (4.31) proj_loss: -0.6222 (-0.6172) time: 0.3654 data: 0.0003 [11-24 17:41:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:02:36 tlr: 4.8e-05 tnm: 0.58 Lm: 6.662 (6.689) Lt: 5.948 (5.972) Accm: 2.79 (2.89) Acct: 4.46 (4.53) proj_loss: -0.6108 (-0.6096) time: 0.3654 data: 0.0002 [11-24 17:41:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:02:36 tlr: 4.8e-05 tnm: 0.58 Lm: 6.631 (6.667) Lt: 5.854 (5.920) Accm: 2.92 (2.91) Acct: 4.68 (4.61) proj_loss: -0.5884 (-0.5879) time: 0.3654 data: 0.0003 [11-24 17:41:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:02:36 tlr: 4.8e-05 tnm: 0.58 Lm: 6.675 (6.675) Lt: 6.003 (5.979) Accm: 2.99 (3.03) Acct: 4.62 (4.70) proj_loss: -0.6103 (-0.6076) time: 0.3654 data: 0.0002 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.57 Lm: 6.666 (6.636) Lt: 5.966 (5.936) Accm: 2.99 (3.12) Acct: 4.75 (4.84) proj_loss: -0.6101 (-0.6061) time: 0.3653 data: 0.0020 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:10:30 (0.378 s / it) [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.57 Lm: 6.696 (6.713) Lt: 5.955 (5.976) Accm: 2.84 (2.81) Acct: 4.55 (4.41) proj_loss: -0.6200 (-0.6123) time: 0.3653 data: 0.0016 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.57 Lm: 6.641 (6.665) Lt: 5.866 (5.922) Accm: 2.99 (2.94) Acct: 4.77 (4.64) proj_loss: -0.5977 (-0.5913) time: 0.3653 data: 0.0018 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.57 Lm: 6.649 (6.659) Lt: 5.917 (5.937) Accm: 2.80 (2.95) Acct: 4.58 (4.62) proj_loss: -0.6100 (-0.6040) time: 0.3653 data: 0.0025 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:10:30 (0.378 s / it) [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:10:30 (0.378 s / it) [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:10:30 (0.378 s / it) [11-24 17:44:06] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.668 (6.668), Lt: 5.956 (5.956), Acc m&t: 2.96 4.63, Remain: 10:32:58, Finish: 2024-11-24 12:17 [11-24 17:44:06] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.668 (6.668), Lt: 5.956 (5.956), Acc m&t: 2.96 4.63, Remain: 10:32:50, Finish: 2024-11-24 12:16 [11-24 17:44:06] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.668 (6.668), Lt: 5.956 (5.956), Acc m&t: 2.96 4.63, Remain: 10:32:58, Finish: 2024-11-24 12:17 [11-24 17:44:06] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.668 (6.668), Lt: 5.956 (5.956), Acc m&t: 2.96 4.63, Remain: 10:32:57, Finish: 2024-11-24 12:17 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:09:48 tlr: 4.8e-05 tnm: 0.58 Lm: 6.684 (6.684) Lt: 6.035 (6.035) Accm: 2.90 (2.90) Acct: 4.39 (4.39) proj_loss: -0.5949 (-0.5949) time: 0.3529 data: 0.0003 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:09:49 tlr: 4.8e-05 tnm: 0.58 Lm: 6.678 (6.678) Lt: 6.003 (6.003) Accm: 2.94 (2.94) Acct: 4.58 (4.58) proj_loss: -0.6074 (-0.6074) time: 0.3535 data: 0.0004 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:09:50 tlr: 4.8e-05 tnm: 0.58 Lm: 6.647 (6.647) Lt: 5.959 (5.959) Accm: 2.95 (2.95) Acct: 4.51 (4.51) proj_loss: -0.6075 (-0.6075) time: 0.3536 data: 0.0003 [11-24 17:44:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:09:49 tlr: 4.8e-05 tnm: 0.58 Lm: 6.669 (6.669) Lt: 5.976 (5.976) Accm: 2.83 (2.83) Acct: 4.24 (4.24) proj_loss: -0.5914 (-0.5914) time: 0.3531 data: 0.0004 [11-24 17:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:07:37 tlr: 4.7e-05 tnm: 0.58 Lm: 6.667 (6.667) Lt: 5.944 (5.944) Accm: 2.89 (2.89) Acct: 4.45 (4.45) proj_loss: -0.5931 (-0.5931) time: 0.3629 data: 0.0003 [11-24 17:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:07:37 tlr: 4.7e-05 tnm: 0.58 Lm: 6.651 (6.651) Lt: 5.965 (5.965) Accm: 2.96 (2.96) Acct: 4.55 (4.55) proj_loss: -0.5881 (-0.5881) time: 0.3629 data: 0.0003 [11-24 17:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:07:37 tlr: 4.7e-05 tnm: 0.58 Lm: 6.666 (6.666) Lt: 5.962 (5.962) Accm: 2.96 (2.96) Acct: 4.67 (4.67) proj_loss: -0.6050 (-0.6050) time: 0.3629 data: 0.0003 [11-24 17:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:07:37 tlr: 4.7e-05 tnm: 0.58 Lm: 6.666 (6.666) Lt: 5.967 (5.967) Accm: 2.88 (2.88) Acct: 4.47 (4.47) proj_loss: -0.6006 (-0.6006) time: 0.3629 data: 0.0003 [11-24 17:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:05:05 tlr: 4.7e-05 tnm: 0.57 Lm: 6.686 (6.693) Lt: 5.974 (5.987) Accm: 2.82 (2.81) Acct: 4.42 (4.30) proj_loss: -0.6075 (-0.6060) time: 0.3608 data: 0.0003 [11-24 17:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:05:05 tlr: 4.7e-05 tnm: 0.57 Lm: 6.678 (6.721) Lt: 6.003 (6.013) Accm: 2.94 (2.86) Acct: 4.58 (4.57) proj_loss: -0.6026 (-0.6003) time: 0.3608 data: 0.0002 [11-24 17:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:05:05 tlr: 4.7e-05 tnm: 0.57 Lm: 6.684 (6.683) Lt: 6.020 (5.983) Accm: 2.90 (2.94) Acct: 4.61 (4.57) proj_loss: -0.5949 (-0.5953) time: 0.3608 data: 0.0003 [11-24 17:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:05:05 tlr: 4.7e-05 tnm: 0.57 Lm: 6.665 (6.628) Lt: 5.912 (5.903) Accm: 2.94 (3.02) Acct: 4.67 (4.61) proj_loss: -0.5947 (-0.6005) time: 0.3608 data: 0.0003 [11-24 17:51:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:02:32 tlr: 4.7e-05 tnm: 0.58 Lm: 6.667 (6.646) Lt: 5.944 (5.921) Accm: 2.93 (3.00) Acct: 4.61 (4.60) proj_loss: -0.5995 (-0.6014) time: 0.3626 data: 0.0002 [11-24 17:51:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:02:32 tlr: 4.7e-05 tnm: 0.58 Lm: 6.665 (6.674) Lt: 5.961 (5.963) Accm: 2.96 (2.96) Acct: 4.66 (4.61) proj_loss: -0.6016 (-0.5986) time: 0.3626 data: 0.0002 [11-24 17:51:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:02:32 tlr: 4.7e-05 tnm: 0.58 Lm: 6.666 (6.697) Lt: 5.979 (5.999) Accm: 2.90 (2.86) Acct: 4.55 (4.56) proj_loss: -0.6005 (-0.5999) time: 0.3626 data: 0.0002 [11-24 17:51:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:02:32 tlr: 4.7e-05 tnm: 0.58 Lm: 6.716 (6.716) Lt: 6.002 (6.009) Accm: 2.75 (2.77) Acct: 4.24 (4.24) proj_loss: -0.6060 (-0.6056) time: 0.3627 data: 0.0003 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.58 Lm: 6.647 (6.664) Lt: 5.924 (5.955) Accm: 2.90 (2.89) Acct: 4.61 (4.51) proj_loss: -0.5949 (-0.5957) time: 0.3640 data: 0.0015 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.58 Lm: 6.699 (6.713) Lt: 5.974 (5.999) Accm: 2.82 (2.80) Acct: 4.42 (4.30) proj_loss: -0.6046 (-0.6032) time: 0.3640 data: 0.0021 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.58 Lm: 6.665 (6.643) Lt: 5.912 (5.913) Accm: 2.94 (3.06) Acct: 4.67 (4.72) proj_loss: -0.5991 (-0.6010) time: 0.3640 data: 0.0019 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.58 Lm: 6.678 (6.741) Lt: 6.003 (6.045) Accm: 2.86 (2.80) Acct: 4.53 (4.44) proj_loss: -0.5984 (-0.5969) time: 0.3640 data: 0.0019 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:10:07 (0.364 s / it) [11-24 17:54:14] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.668 (6.684), Lt: 5.956 (5.973), Acc m&t: 2.96 4.63, Remain: 10:20:12, Finish: 2024-11-24 12:14 [11-24 17:54:14] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.668 (6.684), Lt: 5.956 (5.973), Acc m&t: 2.96 4.63, Remain: 10:20:20, Finish: 2024-11-24 12:14 [11-24 17:54:14] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.668 (6.684), Lt: 5.956 (5.973), Acc m&t: 2.96 4.63, Remain: 10:20:15, Finish: 2024-11-24 12:14 [11-24 17:54:14] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.668 (6.684), Lt: 5.956 (5.973), Acc m&t: 2.96 4.63, Remain: 10:20:14, Finish: 2024-11-24 12:14 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:09:41 tlr: 4.7e-05 tnm: 0.59 Lm: 6.635 (6.635) Lt: 5.973 (5.973) Accm: 2.64 (2.64) Acct: 4.12 (4.12) proj_loss: -0.6081 (-0.6081) time: 0.3485 data: 0.0003 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:09:42 tlr: 4.7e-05 tnm: 0.59 Lm: 6.582 (6.582) Lt: 5.822 (5.822) Accm: 3.21 (3.21) Acct: 5.15 (5.15) proj_loss: -0.6198 (-0.6198) time: 0.3489 data: 0.0004 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:09:40 tlr: 4.7e-05 tnm: 0.59 Lm: 6.731 (6.731) Lt: 6.009 (6.009) Accm: 2.51 (2.51) Acct: 3.87 (3.87) proj_loss: -0.5968 (-0.5968) time: 0.3479 data: 0.0003 [11-24 17:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:09:42 tlr: 4.7e-05 tnm: 0.59 Lm: 6.725 (6.725) Lt: 6.007 (6.007) Accm: 2.79 (2.79) Acct: 4.30 (4.30) proj_loss: -0.6007 (-0.6007) time: 0.3489 data: 0.0002 [11-24 17:56:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:07:34 tlr: 4.7e-05 tnm: 0.58 Lm: 6.644 (6.644) Lt: 5.915 (5.915) Accm: 2.95 (2.95) Acct: 4.61 (4.61) proj_loss: -0.6061 (-0.6061) time: 0.3623 data: 0.0002 [11-24 17:56:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:07:34 tlr: 4.7e-05 tnm: 0.58 Lm: 6.624 (6.624) Lt: 5.897 (5.897) Accm: 3.07 (3.07) Acct: 4.75 (4.75) proj_loss: -0.5994 (-0.5994) time: 0.3623 data: 0.0003 [11-24 17:56:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:07:34 tlr: 4.7e-05 tnm: 0.58 Lm: 6.640 (6.640) Lt: 5.979 (5.979) Accm: 2.67 (2.67) Acct: 4.06 (4.06) proj_loss: -0.6075 (-0.6075) time: 0.3623 data: 0.0003 [11-24 17:56:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:07:34 tlr: 4.7e-05 tnm: 0.58 Lm: 6.629 (6.629) Lt: 5.905 (5.905) Accm: 3.05 (3.05) Acct: 4.84 (4.84) proj_loss: -0.6262 (-0.6262) time: 0.3623 data: 0.0003 [11-24 17:59:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:05:03 tlr: 4.7e-05 tnm: 0.56 Lm: 6.582 (6.579) Lt: 5.822 (5.853) Accm: 3.21 (3.30) Acct: 5.15 (5.24) proj_loss: -0.6198 (-0.6216) time: 0.3643 data: 0.0003 [11-24 17:59:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:05:03 tlr: 4.7e-05 tnm: 0.56 Lm: 6.646 (6.691) Lt: 5.985 (6.020) Accm: 2.64 (2.66) Acct: 4.12 (4.11) proj_loss: -0.6070 (-0.6059) time: 0.3643 data: 0.0003 [11-24 17:59:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:05:03 tlr: 4.7e-05 tnm: 0.56 Lm: 6.633 (6.640) Lt: 5.967 (5.933) Accm: 3.11 (3.07) Acct: 4.91 (4.72) proj_loss: -0.6030 (-0.6051) time: 0.3643 data: 0.0002 [11-24 17:59:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:05:03 tlr: 4.7e-05 tnm: 0.56 Lm: 6.670 (6.639) Lt: 5.994 (5.929) Accm: 2.75 (2.96) Acct: 4.18 (4.56) proj_loss: -0.5968 (-0.5980) time: 0.3643 data: 0.0002 [11-24 18:01:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:02:32 tlr: 4.6e-05 tnm: 0.58 Lm: 6.701 (6.686) Lt: 6.001 (5.989) Accm: 2.63 (2.81) Acct: 4.03 (4.34) proj_loss: -0.5994 (-0.6019) time: 0.3647 data: 0.0003 [11-24 18:01:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:02:32 tlr: 4.6e-05 tnm: 0.58 Lm: 6.661 (6.653) Lt: 5.950 (5.932) Accm: 2.96 (3.00) Acct: 4.78 (4.70) proj_loss: -0.6018 (-0.5966) time: 0.3647 data: 0.0002 [11-24 18:01:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:02:32 tlr: 4.6e-05 tnm: 0.58 Lm: 6.629 (6.624) Lt: 5.905 (5.907) Accm: 3.05 (3.14) Acct: 4.84 (5.02) proj_loss: -0.6161 (-0.6153) time: 0.3647 data: 0.0003 [11-24 18:01:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:02:32 tlr: 4.6e-05 tnm: 0.58 Lm: 6.640 (6.640) Lt: 5.979 (5.938) Accm: 2.67 (2.82) Acct: 4.16 (4.38) proj_loss: -0.6049 (-0.6049) time: 0.3647 data: 0.0002 [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.57 Lm: 6.646 (6.645) Lt: 5.973 (5.939) Accm: 2.67 (2.79) Acct: 4.12 (4.30) proj_loss: -0.6028 (-0.6025) time: 0.3638 data: 0.0018 [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.57 Lm: 6.670 (6.680) Lt: 5.994 (5.980) Accm: 2.75 (2.84) Acct: 4.18 (4.45) proj_loss: -0.5968 (-0.5994) time: 0.3637 data: 0.0020 [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.57 Lm: 6.663 (6.631) Lt: 5.893 (5.904) Accm: 2.90 (3.09) Acct: 4.63 (4.94) proj_loss: -0.6124 (-0.6107) time: 0.3638 data: 0.0017 [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.57 Lm: 6.689 (6.677) Lt: 5.967 (5.962) Accm: 2.94 (2.99) Acct: 4.65 (4.67) proj_loss: -0.6007 (-0.5935) time: 0.3638 data: 0.0017 [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:04:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:06:44] (home/user/VAR/trainer.py, line 114)=> FID: 3.772837090848782 [11-24 18:06:45] (/home/user/VAR/train.py , line 259)=> [*] [ep289] (val 50000) Lm: 6.6795, Lt: 5.9654, Acc m&t: 2.93 4.61, Val cost: 141.15s [11-24 18:06:45] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 18:06:53] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.668 (6.679), Lt: 5.956 (5.965), Acc m&t: 2.96 4.63, Remain: 10:09:24, Finish: 2024-11-24 12:13 [11-24 18:06:53] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.668 (6.679), Lt: 5.956 (5.965), Acc m&t: 2.96 4.63, Remain: 10:09:32, Finish: 2024-11-24 12:13 [11-24 18:06:53] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.668 (6.679), Lt: 5.956 (5.965), Acc m&t: 2.96 4.63, Remain: 10:09:43, Finish: 2024-11-24 12:14 [11-24 18:06:53] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.668 (6.679), Lt: 5.956 (5.965), Acc m&t: 2.96 4.63, Remain: 10:09:57, Finish: 2024-11-24 12:14 [11-24 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:10:05 tlr: 4.6e-05 tnm: 0.58 Lm: 6.691 (6.691) Lt: 5.962 (5.962) Accm: 2.88 (2.88) Acct: 4.41 (4.41) proj_loss: -0.6050 (-0.6050) time: 0.3628 data: 0.0004 [11-24 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:10:05 tlr: 4.6e-05 tnm: 0.58 Lm: 6.505 (6.505) Lt: 5.773 (5.773) Accm: 4.01 (4.01) Acct: 6.16 (6.16) proj_loss: -0.5985 (-0.5985) time: 0.3627 data: 0.0003 [11-24 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:10:04 tlr: 4.6e-05 tnm: 0.58 Lm: 6.768 (6.768) Lt: 6.014 (6.014) Accm: 2.50 (2.50) Acct: 4.22 (4.22) proj_loss: -0.5869 (-0.5869) time: 0.3623 data: 0.0004 [11-24 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:10:05 tlr: 4.6e-05 tnm: 0.58 Lm: 6.705 (6.705) Lt: 6.006 (6.006) Accm: 2.83 (2.83) Acct: 4.42 (4.42) proj_loss: -0.6173 (-0.6173) time: 0.3626 data: 0.0004 [11-24 18:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:07:42 tlr: 4.6e-05 tnm: 0.58 Lm: 6.718 (6.718) Lt: 6.028 (6.028) Accm: 2.86 (2.86) Acct: 4.47 (4.47) proj_loss: -0.6199 (-0.6199) time: 0.3658 data: 0.0003 [11-24 18:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:07:42 tlr: 4.6e-05 tnm: 0.58 Lm: 6.746 (6.746) Lt: 6.046 (6.046) Accm: 2.70 (2.70) Acct: 4.07 (4.07) proj_loss: -0.6103 (-0.6103) time: 0.3658 data: 0.0003 [11-24 18:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:07:42 tlr: 4.6e-05 tnm: 0.58 Lm: 6.619 (6.619) Lt: 5.862 (5.862) Accm: 3.49 (3.49) Acct: 5.47 (5.47) proj_loss: -0.5949 (-0.5949) time: 0.3658 data: 0.0002 [11-24 18:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:07:42 tlr: 4.6e-05 tnm: 0.58 Lm: 6.728 (6.728) Lt: 6.002 (6.002) Accm: 2.72 (2.72) Acct: 4.49 (4.49) proj_loss: -0.5980 (-0.5980) time: 0.3658 data: 0.0003 [11-24 18:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:05:13 tlr: 4.6e-05 tnm: 0.59 Lm: 6.705 (6.709) Lt: 6.006 (6.013) Accm: 2.88 (2.89) Acct: 4.44 (4.46) proj_loss: -0.6210 (-0.6203) time: 0.3624 data: 0.0003 [11-24 18:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:05:13 tlr: 4.6e-05 tnm: 0.59 Lm: 6.748 (6.747) Lt: 6.022 (6.038) Accm: 2.88 (2.77) Acct: 4.41 (4.22) proj_loss: -0.6050 (-0.6050) time: 0.3624 data: 0.0003 [11-24 18:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:05:13 tlr: 4.6e-05 tnm: 0.59 Lm: 6.532 (6.590) Lt: 5.791 (5.838) Accm: 3.39 (3.45) Acct: 5.34 (5.42) proj_loss: -0.5985 (-0.6022) time: 0.3624 data: 0.0003 [11-24 18:12:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:05:13 tlr: 4.6e-05 tnm: 0.59 Lm: 6.734 (6.730) Lt: 6.014 (6.026) Accm: 2.64 (2.69) Acct: 4.22 (4.37) proj_loss: -0.6025 (-0.5995) time: 0.3624 data: 0.0003 [11-24 18:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:02:37 tlr: 4.6e-05 tnm: 0.59 Lm: 6.711 (6.699) Lt: 6.002 (5.975) Accm: 2.79 (2.77) Acct: 4.49 (4.53) proj_loss: -0.6019 (-0.5999) time: 0.4068 data: 0.0003 [11-24 18:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:02:37 tlr: 4.6e-05 tnm: 0.59 Lm: 6.720 (6.732) Lt: 5.992 (6.014) Accm: 2.90 (2.83) Acct: 4.47 (4.39) proj_loss: -0.6012 (-0.6031) time: 0.4068 data: 0.0003 [11-24 18:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:02:37 tlr: 4.6e-05 tnm: 0.59 Lm: 6.718 (6.721) Lt: 6.013 (6.015) Accm: 2.86 (2.80) Acct: 4.43 (4.33) proj_loss: -0.6191 (-0.6132) time: 0.4068 data: 0.0003 [11-24 18:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:02:37 tlr: 4.6e-05 tnm: 0.59 Lm: 6.519 (6.565) Lt: 5.783 (5.822) Accm: 3.36 (3.42) Acct: 5.29 (5.38) proj_loss: -0.6076 (-0.6078) time: 0.4068 data: 0.0002 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.57 Lm: 6.532 (6.602) Lt: 5.791 (5.862) Accm: 3.34 (3.28) Acct: 5.25 (5.17) proj_loss: -0.6095 (-0.6082) time: 0.3644 data: 0.0018 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:10:29 (0.377 s / it) [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.57 Lm: 6.730 (6.732) Lt: 6.019 (6.026) Accm: 2.83 (2.78) Acct: 4.42 (4.29) proj_loss: -0.6173 (-0.6115) time: 0.3644 data: 0.0020 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.57 Lm: 6.748 (6.735) Lt: 6.022 (6.018) Accm: 2.88 (2.80) Acct: 4.41 (4.36) proj_loss: -0.5973 (-0.6001) time: 0.3644 data: 0.0016 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.57 Lm: 6.734 (6.720) Lt: 6.014 (5.998) Accm: 2.64 (2.73) Acct: 4.22 (4.41) proj_loss: -0.6012 (-0.5994) time: 0.3644 data: 0.0019 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:10:29 (0.377 s / it) [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:10:29 (0.377 s / it) [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:10:29 (0.377 s / it) [11-24 18:17:23] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.668 (6.689), Lt: 5.956 (5.978), Acc m&t: 2.96 4.63, Remain: 10:01:08, Finish: 2024-11-24 12:18 [11-24 18:17:23] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.668 (6.689), Lt: 5.956 (5.978), Acc m&t: 2.96 4.63, Remain: 10:01:15, Finish: 2024-11-24 12:18 [11-24 18:17:23] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.668 (6.689), Lt: 5.956 (5.978), Acc m&t: 2.96 4.63, Remain: 10:00:59, Finish: 2024-11-24 12:18 [11-24 18:17:23] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.668 (6.689), Lt: 5.956 (5.978), Acc m&t: 2.96 4.63, Remain: 10:01:26, Finish: 2024-11-24 12:18 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:09:42 tlr: 4.5e-05 tnm: 0.57 Lm: 6.620 (6.620) Lt: 5.878 (5.878) Accm: 2.94 (2.94) Acct: 4.53 (4.53) proj_loss: -0.6004 (-0.6004) time: 0.3489 data: 0.0003 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:09:55 tlr: 4.5e-05 tnm: 0.57 Lm: 6.700 (6.700) Lt: 5.985 (5.985) Accm: 2.91 (2.91) Acct: 4.73 (4.73) proj_loss: -0.5866 (-0.5866) time: 0.3569 data: 0.0004 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:09:45 tlr: 4.5e-05 tnm: 0.57 Lm: 6.720 (6.720) Lt: 5.961 (5.961) Accm: 2.83 (2.83) Acct: 4.67 (4.67) proj_loss: -0.5926 (-0.5926) time: 0.3507 data: 0.0004 [11-24 18:17:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:09:44 tlr: 4.5e-05 tnm: 0.57 Lm: 6.849 (6.849) Lt: 6.161 (6.161) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.6119 (-0.6119) time: 0.3504 data: 0.0004 [11-24 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:07:37 tlr: 4.5e-05 tnm: 0.59 Lm: 6.687 (6.687) Lt: 5.971 (5.971) Accm: 3.04 (3.04) Acct: 4.89 (4.89) proj_loss: -0.6027 (-0.6027) time: 0.3628 data: 0.0003 [11-24 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:07:37 tlr: 4.5e-05 tnm: 0.59 Lm: 6.714 (6.714) Lt: 6.020 (6.020) Accm: 2.65 (2.65) Acct: 4.25 (4.25) proj_loss: -0.6010 (-0.6010) time: 0.3628 data: 0.0003 [11-24 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:07:37 tlr: 4.5e-05 tnm: 0.59 Lm: 6.748 (6.748) Lt: 6.039 (6.039) Accm: 2.76 (2.76) Acct: 4.45 (4.45) proj_loss: -0.5951 (-0.5951) time: 0.3628 data: 0.0003 [11-24 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:07:37 tlr: 4.5e-05 tnm: 0.59 Lm: 6.668 (6.668) Lt: 5.947 (5.947) Accm: 2.91 (2.91) Acct: 4.56 (4.56) proj_loss: -0.6043 (-0.6043) time: 0.3628 data: 0.0003 [11-24 18:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:05:05 tlr: 4.5e-05 tnm: 0.58 Lm: 6.716 (6.711) Lt: 6.016 (5.995) Accm: 2.88 (2.85) Acct: 4.53 (4.45) proj_loss: -0.6004 (-0.5968) time: 0.3643 data: 0.0003 [11-24 18:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:05:05 tlr: 4.5e-05 tnm: 0.58 Lm: 6.720 (6.705) Lt: 5.961 (5.997) Accm: 2.83 (2.96) Acct: 4.67 (4.72) proj_loss: -0.5926 (-0.5916) time: 0.3643 data: 0.0003 [11-24 18:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:05:05 tlr: 4.5e-05 tnm: 0.58 Lm: 6.729 (6.741) Lt: 6.053 (6.031) Accm: 2.70 (2.67) Acct: 4.44 (4.32) proj_loss: -0.5866 (-0.5937) time: 0.3643 data: 0.0002 [11-24 18:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:05:05 tlr: 4.5e-05 tnm: 0.58 Lm: 6.548 (6.641) Lt: 5.789 (5.911) Accm: 3.25 (3.11) Acct: 5.15 (4.98) proj_loss: -0.5977 (-0.6010) time: 0.3643 data: 0.0002 [11-24 18:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:02:32 tlr: 4.5e-05 tnm: 0.56 Lm: 6.663 (6.675) Lt: 5.957 (5.964) Accm: 2.92 (2.93) Acct: 4.63 (4.61) proj_loss: -0.6048 (-0.6054) time: 0.3656 data: 0.0003 [11-24 18:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:02:32 tlr: 4.5e-05 tnm: 0.56 Lm: 6.714 (6.692) Lt: 6.019 (5.974) Accm: 2.80 (2.78) Acct: 4.59 (4.43) proj_loss: -0.5915 (-0.5944) time: 0.3656 data: 0.0003 [11-24 18:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:02:32 tlr: 4.5e-05 tnm: 0.56 Lm: 6.704 (6.706) Lt: 6.001 (5.993) Accm: 2.84 (2.84) Acct: 4.50 (4.46) proj_loss: -0.6030 (-0.5990) time: 0.3656 data: 0.0003 [11-24 18:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:02:32 tlr: 4.5e-05 tnm: 0.56 Lm: 6.690 (6.693) Lt: 5.983 (5.999) Accm: 2.83 (2.93) Acct: 4.46 (4.61) proj_loss: -0.5951 (-0.5991) time: 0.3656 data: 0.0003 [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.58 Lm: 6.659 (6.678) Lt: 5.961 (5.977) Accm: 2.83 (2.93) Acct: 4.61 (4.61) proj_loss: -0.5926 (-0.5972) time: 0.3645 data: 0.0021 [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:10:08 (0.365 s / it) [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.58 Lm: 6.700 (6.681) Lt: 5.985 (5.960) Accm: 2.91 (2.81) Acct: 4.73 (4.50) proj_loss: -0.5965 (-0.5948) time: 0.3645 data: 0.0017 [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.58 Lm: 6.621 (6.664) Lt: 5.902 (5.952) Accm: 3.14 (2.97) Acct: 4.82 (4.66) proj_loss: -0.6119 (-0.6078) time: 0.3645 data: 0.0017 [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.58 Lm: 6.716 (6.728) Lt: 6.016 (6.020) Accm: 2.80 (2.76) Acct: 4.48 (4.33) proj_loss: -0.6056 (-0.6006) time: 0.3645 data: 0.0017 [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:10:08 (0.365 s / it) [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:10:08 (0.365 s / it) [11-24 18:27:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:10:08 (0.365 s / it) [11-24 18:27:31] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 9:52:27, Finish: 2024-11-24 12:19 [11-24 18:27:31] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 9:52:20, Finish: 2024-11-24 12:19 [11-24 18:27:31] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 9:52:19, Finish: 2024-11-24 12:19 [11-24 18:27:31] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 9:52:27, Finish: 2024-11-24 12:19 [11-24 18:27:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:09:36 tlr: 4.5e-05 tnm: 0.58 Lm: 6.773 (6.773) Lt: 6.086 (6.086) Accm: 2.50 (2.50) Acct: 3.99 (3.99) proj_loss: -0.5948 (-0.5948) time: 0.3456 data: 0.0003 [11-24 18:27:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:09:37 tlr: 4.5e-05 tnm: 0.58 Lm: 6.551 (6.551) Lt: 5.853 (5.853) Accm: 3.27 (3.27) Acct: 5.23 (5.23) proj_loss: -0.6084 (-0.6084) time: 0.3460 data: 0.0004 [11-24 18:27:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:09:36 tlr: 4.5e-05 tnm: 0.58 Lm: 6.691 (6.691) Lt: 6.045 (6.045) Accm: 2.66 (2.66) Acct: 4.06 (4.06) proj_loss: -0.6388 (-0.6388) time: 0.3454 data: 0.0004 [11-24 18:27:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:09:37 tlr: 4.5e-05 tnm: 0.58 Lm: 6.645 (6.645) Lt: 5.972 (5.972) Accm: 2.83 (2.83) Acct: 4.06 (4.06) proj_loss: -0.6222 (-0.6222) time: 0.3463 data: 0.0004 [11-24 18:30:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:07:34 tlr: 4.5e-05 tnm: 0.58 Lm: 6.699 (6.699) Lt: 6.027 (6.027) Accm: 2.73 (2.73) Acct: 4.11 (4.11) proj_loss: -0.6164 (-0.6164) time: 0.3634 data: 0.0003 [11-24 18:30:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:07:34 tlr: 4.5e-05 tnm: 0.58 Lm: 6.690 (6.690) Lt: 6.001 (6.001) Accm: 2.78 (2.78) Acct: 4.35 (4.35) proj_loss: -0.6126 (-0.6126) time: 0.3634 data: 0.0003 [11-24 18:30:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:07:34 tlr: 4.5e-05 tnm: 0.58 Lm: 6.715 (6.715) Lt: 6.011 (6.011) Accm: 2.74 (2.74) Acct: 4.31 (4.31) proj_loss: -0.6002 (-0.6002) time: 0.3634 data: 0.0002 [11-24 18:30:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:07:34 tlr: 4.5e-05 tnm: 0.58 Lm: 6.596 (6.596) Lt: 5.895 (5.895) Accm: 3.24 (3.24) Acct: 5.07 (5.07) proj_loss: -0.6062 (-0.6062) time: 0.3634 data: 0.0003 [11-24 18:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:05:03 tlr: 4.4e-05 tnm: 0.59 Lm: 6.551 (6.581) Lt: 5.853 (5.880) Accm: 3.27 (3.40) Acct: 5.23 (5.34) proj_loss: -0.6084 (-0.6084) time: 0.3667 data: 0.0003 [11-24 18:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:05:03 tlr: 4.4e-05 tnm: 0.59 Lm: 6.689 (6.671) Lt: 5.957 (5.983) Accm: 2.89 (2.82) Acct: 4.48 (4.39) proj_loss: -0.5974 (-0.6076) time: 0.3667 data: 0.0003 [11-24 18:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:05:03 tlr: 4.4e-05 tnm: 0.59 Lm: 6.737 (6.722) Lt: 6.056 (6.026) Accm: 2.99 (2.83) Acct: 4.63 (4.47) proj_loss: -0.5948 (-0.5976) time: 0.3667 data: 0.0003 [11-24 18:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:05:03 tlr: 4.4e-05 tnm: 0.59 Lm: 6.645 (6.619) Lt: 5.972 (5.921) Accm: 2.83 (3.01) Acct: 4.15 (4.62) proj_loss: -0.6132 (-0.6153) time: 0.3667 data: 0.0003 [11-24 18:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:02:32 tlr: 4.4e-05 tnm: 0.58 Lm: 6.734 (6.724) Lt: 6.024 (6.017) Accm: 2.93 (2.84) Acct: 4.70 (4.56) proj_loss: -0.6002 (-0.6014) time: 0.3650 data: 0.0003 [11-24 18:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:02:32 tlr: 4.4e-05 tnm: 0.58 Lm: 6.592 (6.594) Lt: 5.852 (5.871) Accm: 3.24 (3.32) Acct: 5.08 (5.23) proj_loss: -0.6062 (-0.6059) time: 0.3650 data: 0.0003 [11-24 18:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:02:32 tlr: 4.4e-05 tnm: 0.58 Lm: 6.699 (6.670) Lt: 6.027 (5.980) Accm: 2.74 (2.92) Acct: 4.11 (4.46) proj_loss: -0.6135 (-0.6149) time: 0.3650 data: 0.0003 [11-24 18:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:02:32 tlr: 4.4e-05 tnm: 0.58 Lm: 6.690 (6.678) Lt: 5.982 (5.989) Accm: 2.86 (2.82) Acct: 4.42 (4.38) proj_loss: -0.6129 (-0.6127) time: 0.3650 data: 0.0003 [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.58 Lm: 6.689 (6.653) Lt: 5.957 (5.958) Accm: 2.89 (2.88) Acct: 4.48 (4.49) proj_loss: -0.6053 (-0.6113) time: 0.3623 data: 0.0020 [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:10:10 (0.366 s / it) [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.58 Lm: 6.730 (6.708) Lt: 5.992 (5.991) Accm: 2.99 (2.89) Acct: 4.63 (4.58) proj_loss: -0.5948 (-0.5999) time: 0.3623 data: 0.0018 [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.58 Lm: 6.752 (6.687) Lt: 6.024 (5.989) Accm: 2.83 (2.92) Acct: 4.15 (4.48) proj_loss: -0.6132 (-0.6094) time: 0.3623 data: 0.0020 [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.58 Lm: 6.632 (6.602) Lt: 5.853 (5.875) Accm: 3.21 (3.28) Acct: 5.08 (5.20) proj_loss: -0.6056 (-0.6059) time: 0.3623 data: 0.0016 [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:10:10 (0.366 s / it) [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:10:10 (0.366 s / it) [11-24 18:37:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:10:10 (0.366 s / it) [11-24 18:37:42] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.668 (6.676), Lt: 5.956 (5.962), Acc m&t: 2.96 4.63, Remain: 9:36:52, Finish: 2024-11-24 12:14 [11-24 18:37:42] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.668 (6.676), Lt: 5.956 (5.962), Acc m&t: 2.96 4.63, Remain: 9:36:53, Finish: 2024-11-24 12:14 [11-24 18:37:42] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.668 (6.676), Lt: 5.956 (5.962), Acc m&t: 2.96 4.63, Remain: 9:37:09, Finish: 2024-11-24 12:14 [11-24 18:37:42] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.668 (6.676), Lt: 5.956 (5.962), Acc m&t: 2.96 4.63, Remain: 9:36:47, Finish: 2024-11-24 12:14 [11-24 18:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:10:05 tlr: 4.4e-05 tnm: 0.58 Lm: 6.620 (6.620) Lt: 5.870 (5.870) Accm: 2.96 (2.96) Acct: 4.55 (4.55) proj_loss: -0.6089 (-0.6089) time: 0.3627 data: 0.0004 [11-24 18:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:10:05 tlr: 4.4e-05 tnm: 0.58 Lm: 6.589 (6.589) Lt: 5.888 (5.888) Accm: 2.96 (2.96) Acct: 4.72 (4.72) proj_loss: -0.6085 (-0.6085) time: 0.3630 data: 0.0003 [11-24 18:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:10:02 tlr: 4.4e-05 tnm: 0.58 Lm: 6.731 (6.731) Lt: 6.023 (6.023) Accm: 2.74 (2.74) Acct: 4.41 (4.41) proj_loss: -0.6037 (-0.6037) time: 0.3611 data: 0.0004 [11-24 18:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:10:06 tlr: 4.4e-05 tnm: 0.58 Lm: 6.696 (6.696) Lt: 5.991 (5.991) Accm: 3.00 (3.00) Acct: 4.68 (4.68) proj_loss: -0.6098 (-0.6098) time: 0.3632 data: 0.0004 [11-24 18:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 0.60 Lm: 6.621 (6.621) Lt: 5.865 (5.865) Accm: 3.25 (3.25) Acct: 5.11 (5.11) proj_loss: -0.5972 (-0.5972) time: 0.3631 data: 0.0002 [11-24 18:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 0.60 Lm: 6.651 (6.651) Lt: 5.962 (5.962) Accm: 2.98 (2.98) Acct: 4.73 (4.73) proj_loss: -0.5964 (-0.5964) time: 0.3631 data: 0.0003 [11-24 18:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 0.60 Lm: 6.585 (6.585) Lt: 5.860 (5.860) Accm: 3.22 (3.22) Acct: 4.66 (4.66) proj_loss: -0.6061 (-0.6061) time: 0.3631 data: 0.0002 [11-24 18:40:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 0.60 Lm: 6.681 (6.681) Lt: 5.970 (5.970) Accm: 2.88 (2.88) Acct: 4.67 (4.67) proj_loss: -0.6090 (-0.6090) time: 0.3631 data: 0.0003 [11-24 18:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:05:13 tlr: 4.4e-05 tnm: 0.59 Lm: 6.731 (6.702) Lt: 6.023 (6.006) Accm: 2.88 (2.88) Acct: 4.41 (4.55) proj_loss: -0.6078 (-0.6086) time: 0.3647 data: 0.0003 [11-24 18:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:05:13 tlr: 4.4e-05 tnm: 0.59 Lm: 6.631 (6.624) Lt: 5.899 (5.876) Accm: 3.05 (3.18) Acct: 4.82 (5.02) proj_loss: -0.6055 (-0.6000) time: 0.3647 data: 0.0003 [11-24 18:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:05:13 tlr: 4.4e-05 tnm: 0.59 Lm: 6.620 (6.597) Lt: 5.870 (5.888) Accm: 2.96 (3.11) Acct: 4.55 (4.60) proj_loss: -0.6089 (-0.6081) time: 0.3647 data: 0.0003 [11-24 18:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:05:13 tlr: 4.4e-05 tnm: 0.59 Lm: 6.590 (6.631) Lt: 5.888 (5.937) Accm: 3.00 (3.04) Acct: 4.75 (4.81) proj_loss: -0.6055 (-0.5994) time: 0.3647 data: 0.0003 [11-24 18:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:02:38 tlr: 4.3e-05 tnm: 0.58 Lm: 6.589 (6.611) Lt: 5.888 (5.912) Accm: 3.09 (3.15) Acct: 4.86 (4.94) proj_loss: -0.6070 (-0.6035) time: 0.4028 data: 0.0003 [11-24 18:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:02:38 tlr: 4.3e-05 tnm: 0.58 Lm: 6.737 (6.735) Lt: 6.050 (6.040) Accm: 2.81 (2.75) Acct: 4.36 (4.34) proj_loss: -0.6057 (-0.6047) time: 0.4028 data: 0.0003 [11-24 18:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:02:38 tlr: 4.3e-05 tnm: 0.58 Lm: 6.620 (6.646) Lt: 5.906 (5.946) Accm: 2.94 (3.03) Acct: 4.52 (4.58) proj_loss: -0.6061 (-0.6066) time: 0.4028 data: 0.0003 [11-24 18:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:02:38 tlr: 4.3e-05 tnm: 0.58 Lm: 6.633 (6.627) Lt: 5.910 (5.887) Accm: 3.11 (3.18) Acct: 4.86 (4.98) proj_loss: -0.5965 (-0.5969) time: 0.4028 data: 0.0003 [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.59 Lm: 6.631 (6.578) Lt: 5.899 (5.830) Accm: 3.18 (3.32) Acct: 4.89 (5.24) proj_loss: -0.6055 (-0.5992) time: 0.3644 data: 0.0017 [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:10:28 (0.376 s / it) [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.59 Lm: 6.590 (6.653) Lt: 5.888 (5.964) Accm: 3.00 (3.00) Acct: 4.75 (4.70) proj_loss: -0.6055 (-0.6031) time: 0.3644 data: 0.0018 [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.59 Lm: 6.620 (6.653) Lt: 5.942 (5.952) Accm: 2.91 (2.95) Acct: 4.49 (4.45) proj_loss: -0.6089 (-0.6073) time: 0.3644 data: 0.0015 [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.59 Lm: 6.731 (6.694) Lt: 6.023 (5.995) Accm: 2.88 (2.90) Acct: 4.41 (4.66) proj_loss: -0.6078 (-0.6069) time: 0.3644 data: 0.0016 [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:10:28 (0.376 s / it) [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:10:28 (0.376 s / it) [11-24 18:48:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:10:28 (0.376 s / it) [11-24 18:48:10] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.969), Acc m&t: 2.96 4.63, Remain: 9:30:39, Finish: 2024-11-24 12:18 [11-24 18:48:10] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.969), Acc m&t: 2.96 4.63, Remain: 9:30:37, Finish: 2024-11-24 12:18 [11-24 18:48:10] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.969), Acc m&t: 2.96 4.63, Remain: 9:30:37, Finish: 2024-11-24 12:18 [11-24 18:48:10] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.969), Acc m&t: 2.96 4.63, Remain: 9:30:44, Finish: 2024-11-24 12:18 [11-24 18:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:09:50 tlr: 4.3e-05 tnm: 0.57 Lm: 6.792 (6.792) Lt: 6.060 (6.060) Accm: 2.56 (2.56) Acct: 4.20 (4.20) proj_loss: -0.5988 (-0.5988) time: 0.3538 data: 0.0004 [11-24 18:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:09:50 tlr: 4.3e-05 tnm: 0.57 Lm: 6.497 (6.497) Lt: 5.719 (5.719) Accm: 3.62 (3.62) Acct: 5.70 (5.70) proj_loss: -0.6062 (-0.6062) time: 0.3538 data: 0.0005 [11-24 18:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:09:51 tlr: 4.3e-05 tnm: 0.57 Lm: 6.709 (6.709) Lt: 5.934 (5.934) Accm: 2.70 (2.70) Acct: 4.36 (4.36) proj_loss: -0.6009 (-0.6009) time: 0.3542 data: 0.0003 [11-24 18:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:09:51 tlr: 4.3e-05 tnm: 0.57 Lm: 6.505 (6.505) Lt: 5.699 (5.699) Accm: 3.37 (3.37) Acct: 5.29 (5.29) proj_loss: -0.6193 (-0.6193) time: 0.3544 data: 0.0004 [11-24 18:50:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:07:36 tlr: 4.3e-05 tnm: 0.58 Lm: 6.609 (6.609) Lt: 5.873 (5.873) Accm: 3.09 (3.09) Acct: 4.86 (4.86) proj_loss: -0.6240 (-0.6240) time: 0.3645 data: 0.0003 [11-24 18:50:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:07:36 tlr: 4.3e-05 tnm: 0.58 Lm: 6.628 (6.628) Lt: 5.870 (5.870) Accm: 3.13 (3.13) Acct: 4.99 (4.99) proj_loss: -0.6132 (-0.6132) time: 0.3645 data: 0.0003 [11-24 18:50:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:07:36 tlr: 4.3e-05 tnm: 0.58 Lm: 6.741 (6.741) Lt: 6.011 (6.011) Accm: 2.68 (2.68) Acct: 4.33 (4.33) proj_loss: -0.5954 (-0.5954) time: 0.3645 data: 0.0003 [11-24 18:50:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:07:36 tlr: 4.3e-05 tnm: 0.58 Lm: 6.641 (6.641) Lt: 5.917 (5.917) Accm: 2.95 (2.95) Acct: 4.49 (4.49) proj_loss: -0.6073 (-0.6073) time: 0.3645 data: 0.0003 [11-24 18:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:05:06 tlr: 4.3e-05 tnm: 0.58 Lm: 6.579 (6.620) Lt: 5.900 (5.889) Accm: 3.15 (3.02) Acct: 4.63 (4.65) proj_loss: -0.6009 (-0.6043) time: 0.3645 data: 0.0003 [11-24 18:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:05:06 tlr: 4.3e-05 tnm: 0.58 Lm: 6.716 (6.732) Lt: 5.986 (6.003) Accm: 2.80 (2.75) Acct: 4.46 (4.41) proj_loss: -0.5920 (-0.5909) time: 0.3645 data: 0.0003 [11-24 18:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:05:06 tlr: 4.3e-05 tnm: 0.58 Lm: 6.599 (6.606) Lt: 5.868 (5.871) Accm: 3.18 (3.12) Acct: 5.15 (4.96) proj_loss: -0.6193 (-0.6139) time: 0.3645 data: 0.0003 [11-24 18:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:05:06 tlr: 4.3e-05 tnm: 0.58 Lm: 6.663 (6.640) Lt: 5.957 (5.899) Accm: 3.01 (3.09) Acct: 4.82 (4.94) proj_loss: -0.6062 (-0.6105) time: 0.3645 data: 0.0003 [11-24 18:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:02:32 tlr: 4.3e-05 tnm: 0.59 Lm: 6.653 (6.641) Lt: 5.932 (5.901) Accm: 3.00 (3.07) Acct: 4.79 (4.89) proj_loss: -0.6055 (-0.6089) time: 0.3609 data: 0.0003 [11-24 18:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:02:32 tlr: 4.3e-05 tnm: 0.59 Lm: 6.656 (6.662) Lt: 5.957 (5.929) Accm: 3.00 (2.93) Acct: 4.80 (4.68) proj_loss: -0.6064 (-0.6086) time: 0.3609 data: 0.0003 [11-24 18:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:02:32 tlr: 4.3e-05 tnm: 0.59 Lm: 6.702 (6.668) Lt: 5.975 (5.931) Accm: 2.85 (3.06) Acct: 4.51 (4.89) proj_loss: -0.5954 (-0.5988) time: 0.3609 data: 0.0003 [11-24 18:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:02:32 tlr: 4.3e-05 tnm: 0.59 Lm: 6.623 (6.632) Lt: 5.917 (5.910) Accm: 3.18 (3.10) Acct: 4.80 (4.79) proj_loss: -0.6073 (-0.6080) time: 0.3609 data: 0.0003 [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.61 Lm: 6.644 (6.639) Lt: 5.907 (5.897) Accm: 3.00 (3.00) Acct: 4.75 (4.76) proj_loss: -0.6049 (-0.6064) time: 0.3634 data: 0.0015 [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.61 Lm: 6.689 (6.666) Lt: 5.986 (5.942) Accm: 2.83 (3.02) Acct: 4.46 (4.77) proj_loss: -0.5988 (-0.6038) time: 0.3634 data: 0.0022 [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.61 Lm: 6.599 (6.648) Lt: 5.868 (5.912) Accm: 3.18 (2.99) Acct: 5.13 (4.77) proj_loss: -0.5956 (-0.6060) time: 0.3634 data: 0.0031 [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.61 Lm: 6.668 (6.662) Lt: 5.934 (5.947) Accm: 3.15 (3.00) Acct: 4.63 (4.64) proj_loss: -0.6136 (-0.6125) time: 0.3634 data: 0.0021 [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:58:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:10:09 (0.365 s / it) [11-24 18:58:20] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.958), Acc m&t: 2.96 4.63, Remain: 9:18:34, Finish: 2024-11-24 12:16 [11-24 18:58:20] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.958), Acc m&t: 2.96 4.63, Remain: 9:18:33, Finish: 2024-11-24 12:16 [11-24 18:58:20] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.958), Acc m&t: 2.96 4.63, Remain: 9:18:37, Finish: 2024-11-24 12:16 [11-24 18:58:20] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.958), Acc m&t: 2.96 4.63, Remain: 9:19:22, Finish: 2024-11-24 12:17 [11-24 18:58:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:09:54 tlr: 4.3e-05 tnm: 0.60 Lm: 6.694 (6.694) Lt: 5.966 (5.966) Accm: 3.04 (3.04) Acct: 4.63 (4.63) proj_loss: -0.6069 (-0.6069) time: 0.3564 data: 0.0004 [11-24 18:58:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:09:53 tlr: 4.3e-05 tnm: 0.60 Lm: 6.524 (6.524) Lt: 5.718 (5.718) Accm: 3.52 (3.52) Acct: 5.89 (5.89) proj_loss: -0.5973 (-0.5973) time: 0.3556 data: 0.0004 [11-24 18:58:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:09:53 tlr: 4.3e-05 tnm: 0.60 Lm: 6.664 (6.664) Lt: 5.943 (5.943) Accm: 2.94 (2.94) Acct: 4.65 (4.65) proj_loss: -0.6004 (-0.6004) time: 0.3555 data: 0.0003 [11-24 18:58:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:09:55 tlr: 4.3e-05 tnm: 0.60 Lm: 6.641 (6.641) Lt: 5.920 (5.920) Accm: 3.21 (3.21) Acct: 5.20 (5.20) proj_loss: -0.6282 (-0.6282) time: 0.3568 data: 0.0004 [11-24 19:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:07:33 tlr: 4.2e-05 tnm: 0.59 Lm: 6.704 (6.704) Lt: 5.988 (5.988) Accm: 2.96 (2.96) Acct: 4.77 (4.77) proj_loss: -0.6137 (-0.6137) time: 0.3631 data: 0.0002 [11-24 19:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:07:33 tlr: 4.2e-05 tnm: 0.59 Lm: 6.695 (6.695) Lt: 5.978 (5.978) Accm: 3.06 (3.06) Acct: 4.61 (4.61) proj_loss: -0.5979 (-0.5979) time: 0.3631 data: 0.0003 [11-24 19:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:07:33 tlr: 4.2e-05 tnm: 0.59 Lm: 6.679 (6.679) Lt: 5.938 (5.938) Accm: 3.00 (3.00) Acct: 4.80 (4.80) proj_loss: -0.5998 (-0.5998) time: 0.3631 data: 0.0003 [11-24 19:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:07:33 tlr: 4.2e-05 tnm: 0.59 Lm: 6.621 (6.621) Lt: 5.893 (5.893) Accm: 3.20 (3.20) Acct: 5.07 (5.07) proj_loss: -0.5976 (-0.5976) time: 0.3631 data: 0.0002 [11-24 19:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:05:02 tlr: 4.2e-05 tnm: 0.57 Lm: 6.664 (6.665) Lt: 5.943 (5.956) Accm: 2.94 (3.05) Acct: 4.65 (4.85) proj_loss: -0.6004 (-0.6013) time: 0.3624 data: 0.0003 [11-24 19:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:05:02 tlr: 4.2e-05 tnm: 0.57 Lm: 6.667 (6.675) Lt: 5.948 (5.942) Accm: 2.94 (2.98) Acct: 4.51 (4.70) proj_loss: -0.5973 (-0.5967) time: 0.3624 data: 0.0003 [11-24 19:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:05:02 tlr: 4.2e-05 tnm: 0.57 Lm: 6.696 (6.722) Lt: 5.991 (6.015) Accm: 3.04 (2.93) Acct: 4.58 (4.41) proj_loss: -0.6069 (-0.6057) time: 0.3624 data: 0.0003 [11-24 19:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:05:02 tlr: 4.2e-05 tnm: 0.57 Lm: 6.767 (6.727) Lt: 6.057 (6.014) Accm: 2.88 (2.93) Acct: 4.48 (4.67) proj_loss: -0.6120 (-0.6132) time: 0.3624 data: 0.0003 [11-24 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:02:31 tlr: 4.2e-05 tnm: 0.59 Lm: 6.695 (6.677) Lt: 5.978 (5.964) Accm: 3.06 (3.08) Acct: 4.61 (4.63) proj_loss: -0.6051 (-0.6051) time: 0.3630 data: 0.0003 [11-24 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:02:31 tlr: 4.2e-05 tnm: 0.59 Lm: 6.723 (6.715) Lt: 6.014 (6.004) Accm: 2.96 (2.96) Acct: 4.61 (4.69) proj_loss: -0.6164 (-0.6151) time: 0.3630 data: 0.0003 [11-24 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:02:31 tlr: 4.2e-05 tnm: 0.59 Lm: 6.689 (6.678) Lt: 5.952 (5.958) Accm: 2.87 (2.99) Acct: 4.53 (4.68) proj_loss: -0.5997 (-0.6007) time: 0.3630 data: 0.0003 [11-24 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:02:31 tlr: 4.2e-05 tnm: 0.59 Lm: 6.684 (6.682) Lt: 5.969 (5.954) Accm: 2.81 (2.91) Acct: 4.36 (4.58) proj_loss: -0.5940 (-0.5951) time: 0.3630 data: 0.0003 [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.59 Lm: 6.667 (6.667) Lt: 5.948 (5.936) Accm: 2.94 (2.96) Acct: 4.51 (4.64) proj_loss: -0.5973 (-0.5983) time: 0.3659 data: 0.0015 [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.59 Lm: 6.696 (6.691) Lt: 5.991 (5.982) Accm: 3.04 (3.00) Acct: 4.58 (4.54) proj_loss: -0.6055 (-0.6052) time: 0.3659 data: 0.0017 [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.59 Lm: 6.680 (6.679) Lt: 5.971 (5.955) Accm: 3.04 (3.08) Acct: 4.73 (4.84) proj_loss: -0.6120 (-0.6143) time: 0.3659 data: 0.0018 [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.59 Lm: 6.683 (6.679) Lt: 5.953 (5.957) Accm: 2.94 (3.00) Acct: 4.65 (4.69) proj_loss: -0.5989 (-0.5984) time: 0.3658 data: 0.0019 [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:10:11 (0.367 s / it) [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:10:11 (0.367 s / it) [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:10:11 (0.367 s / it) [11-24 19:08:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:10:11 (0.367 s / it) [11-24 19:08:31] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.668 (6.682), Lt: 5.956 (5.974), Acc m&t: 2.96 4.63, Remain: 9:11:01, Finish: 2024-11-24 12:19 [11-24 19:08:31] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.668 (6.682), Lt: 5.956 (5.974), Acc m&t: 2.96 4.63, Remain: 9:11:32, Finish: 2024-11-24 12:20 [11-24 19:08:31] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.668 (6.682), Lt: 5.956 (5.974), Acc m&t: 2.96 4.63, Remain: 9:11:14, Finish: 2024-11-24 12:19 [11-24 19:08:31] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.668 (6.682), Lt: 5.956 (5.974), Acc m&t: 2.96 4.63, Remain: 9:11:06, Finish: 2024-11-24 12:19 [11-24 19:08:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:10:09 tlr: 4.2e-05 tnm: 0.59 Lm: 6.633 (6.633) Lt: 5.863 (5.863) Accm: 3.06 (3.06) Acct: 4.98 (4.98) proj_loss: -0.5888 (-0.5888) time: 0.3651 data: 0.0004 [11-24 19:08:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:10:11 tlr: 4.2e-05 tnm: 0.59 Lm: 6.768 (6.768) Lt: 6.045 (6.045) Accm: 2.77 (2.77) Acct: 4.46 (4.46) proj_loss: -0.5666 (-0.5666) time: 0.3665 data: 0.0004 [11-24 19:08:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:10:12 tlr: 4.2e-05 tnm: 0.59 Lm: 6.683 (6.683) Lt: 6.065 (6.065) Accm: 2.99 (2.99) Acct: 4.39 (4.39) proj_loss: -0.6129 (-0.6129) time: 0.3669 data: 0.0004 [11-24 19:08:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:10:12 tlr: 4.2e-05 tnm: 0.59 Lm: 6.465 (6.465) Lt: 5.770 (5.770) Accm: 3.58 (3.58) Acct: 5.53 (5.53) proj_loss: -0.6104 (-0.6104) time: 0.3670 data: 0.0004 [11-24 19:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:07:49 tlr: 4.2e-05 tnm: 0.60 Lm: 6.580 (6.580) Lt: 5.877 (5.877) Accm: 3.20 (3.20) Acct: 5.03 (5.03) proj_loss: -0.6061 (-0.6061) time: 0.4000 data: 0.0003 [11-24 19:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:07:49 tlr: 4.2e-05 tnm: 0.60 Lm: 6.788 (6.788) Lt: 6.075 (6.075) Accm: 2.66 (2.66) Acct: 4.15 (4.15) proj_loss: -0.5864 (-0.5864) time: 0.4000 data: 0.0003 [11-24 19:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:07:49 tlr: 4.2e-05 tnm: 0.60 Lm: 6.631 (6.631) Lt: 5.895 (5.895) Accm: 3.06 (3.06) Acct: 4.73 (4.73) proj_loss: -0.5911 (-0.5911) time: 0.4000 data: 0.0003 [11-24 19:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:07:49 tlr: 4.2e-05 tnm: 0.60 Lm: 6.691 (6.691) Lt: 6.004 (6.004) Accm: 3.02 (3.02) Acct: 4.68 (4.68) proj_loss: -0.6177 (-0.6177) time: 0.4000 data: 0.0003 [11-24 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:05:13 tlr: 4.1e-05 tnm: 0.60 Lm: 6.700 (6.699) Lt: 6.008 (6.005) Accm: 2.99 (2.99) Acct: 4.77 (4.71) proj_loss: -0.6129 (-0.6105) time: 0.3610 data: 0.0003 [11-24 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:05:13 tlr: 4.1e-05 tnm: 0.60 Lm: 6.629 (6.629) Lt: 5.923 (5.904) Accm: 3.07 (3.09) Acct: 4.94 (4.80) proj_loss: -0.5934 (-0.5919) time: 0.3610 data: 0.0003 [11-24 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:05:13 tlr: 4.1e-05 tnm: 0.60 Lm: 6.768 (6.754) Lt: 6.045 (6.051) Accm: 2.77 (2.81) Acct: 4.46 (4.38) proj_loss: -0.6018 (-0.5915) time: 0.3610 data: 0.0003 [11-24 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:05:13 tlr: 4.1e-05 tnm: 0.60 Lm: 6.601 (6.587) Lt: 5.839 (5.864) Accm: 2.99 (3.13) Acct: 4.79 (4.95) proj_loss: -0.6018 (-0.5979) time: 0.3610 data: 0.0003 [11-24 19:16:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:02:37 tlr: 4.1e-05 tnm: 0.58 Lm: 6.727 (6.736) Lt: 6.024 (6.028) Accm: 2.94 (2.92) Acct: 4.66 (4.51) proj_loss: -0.6040 (-0.5952) time: 0.3611 data: 0.0003 [11-24 19:16:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:02:37 tlr: 4.1e-05 tnm: 0.58 Lm: 6.699 (6.698) Lt: 5.979 (5.992) Accm: 3.02 (3.03) Acct: 4.87 (4.78) proj_loss: -0.6047 (-0.6071) time: 0.3611 data: 0.0003 [11-24 19:16:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:02:37 tlr: 4.1e-05 tnm: 0.58 Lm: 6.648 (6.634) Lt: 5.911 (5.908) Accm: 2.91 (3.04) Acct: 4.69 (4.86) proj_loss: -0.5917 (-0.5917) time: 0.3611 data: 0.0003 [11-24 19:16:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:02:37 tlr: 4.1e-05 tnm: 0.58 Lm: 6.631 (6.656) Lt: 5.925 (5.930) Accm: 3.06 (2.99) Acct: 4.72 (4.67) proj_loss: -0.5935 (-0.5938) time: 0.3611 data: 0.0003 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.62 Lm: 6.633 (6.658) Lt: 5.927 (5.944) Accm: 3.06 (2.94) Acct: 4.49 (4.58) proj_loss: -0.5935 (-0.5955) time: 0.4069 data: 0.0018 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:10:26 (0.375 s / it) [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.62 Lm: 6.687 (6.697) Lt: 6.002 (5.983) Accm: 3.08 (2.95) Acct: 4.84 (4.57) proj_loss: -0.6030 (-0.5968) time: 0.4070 data: 0.0020 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.62 Lm: 6.698 (6.679) Lt: 5.950 (5.982) Accm: 2.99 (3.02) Acct: 4.77 (4.72) proj_loss: -0.6129 (-0.6091) time: 0.4070 data: 0.0017 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.62 Lm: 6.630 (6.633) Lt: 5.929 (5.912) Accm: 2.99 (3.07) Acct: 4.79 (4.88) proj_loss: -0.6018 (-0.5947) time: 0.4069 data: 0.0019 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:10:26 (0.375 s / it) [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:10:26 (0.375 s / it) [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:10:26 (0.375 s / it) [11-24 19:18:58] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.960), Acc m&t: 2.96 4.63, Remain: 9:01:40, Finish: 2024-11-24 12:20 [11-24 19:18:58] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.960), Acc m&t: 2.96 4.63, Remain: 9:00:53, Finish: 2024-11-24 12:19 [11-24 19:18:58] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.960), Acc m&t: 2.96 4.63, Remain: 9:00:46, Finish: 2024-11-24 12:19 [11-24 19:18:58] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.668 (6.675), Lt: 5.956 (5.960), Acc m&t: 2.96 4.63, Remain: 9:01:09, Finish: 2024-11-24 12:20 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:09:40 tlr: 4.1e-05 tnm: 0.59 Lm: 6.455 (6.455) Lt: 5.621 (5.621) Accm: 3.54 (3.54) Acct: 5.82 (5.82) proj_loss: -0.5764 (-0.5764) time: 0.3480 data: 0.0004 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:09:42 tlr: 4.1e-05 tnm: 0.59 Lm: 6.684 (6.684) Lt: 5.968 (5.968) Accm: 2.69 (2.69) Acct: 4.24 (4.24) proj_loss: -0.6004 (-0.6004) time: 0.3487 data: 0.0004 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:09:42 tlr: 4.1e-05 tnm: 0.59 Lm: 6.646 (6.646) Lt: 5.971 (5.971) Accm: 2.85 (2.85) Acct: 4.34 (4.34) proj_loss: -0.6173 (-0.6173) time: 0.3487 data: 0.0004 [11-24 19:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:09:42 tlr: 4.1e-05 tnm: 0.59 Lm: 6.806 (6.806) Lt: 6.117 (6.117) Accm: 2.24 (2.24) Acct: 3.34 (3.34) proj_loss: -0.6061 (-0.6061) time: 0.3489 data: 0.0004 [11-24 19:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:07:33 tlr: 4.1e-05 tnm: 0.60 Lm: 6.741 (6.741) Lt: 6.050 (6.050) Accm: 2.64 (2.64) Acct: 4.00 (4.00) proj_loss: -0.5992 (-0.5992) time: 0.3649 data: 0.0003 [11-24 19:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:07:33 tlr: 4.1e-05 tnm: 0.60 Lm: 6.664 (6.664) Lt: 5.990 (5.990) Accm: 2.83 (2.83) Acct: 4.52 (4.52) proj_loss: -0.6130 (-0.6130) time: 0.3649 data: 0.0003 [11-24 19:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:07:33 tlr: 4.1e-05 tnm: 0.60 Lm: 6.635 (6.635) Lt: 5.933 (5.933) Accm: 2.90 (2.90) Acct: 4.48 (4.48) proj_loss: -0.6079 (-0.6079) time: 0.3649 data: 0.0003 [11-24 19:21:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:07:33 tlr: 4.1e-05 tnm: 0.60 Lm: 6.547 (6.547) Lt: 5.784 (5.784) Accm: 3.22 (3.22) Acct: 5.11 (5.11) proj_loss: -0.5937 (-0.5937) time: 0.3649 data: 0.0003 [11-24 19:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:05:04 tlr: 4.1e-05 tnm: 0.60 Lm: 6.594 (6.563) Lt: 5.859 (5.809) Accm: 3.27 (3.24) Acct: 5.03 (5.08) proj_loss: -0.6051 (-0.5975) time: 0.3671 data: 0.0003 [11-24 19:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:05:04 tlr: 4.1e-05 tnm: 0.60 Lm: 6.684 (6.665) Lt: 5.968 (5.962) Accm: 2.75 (2.85) Acct: 4.24 (4.37) proj_loss: -0.6153 (-0.6128) time: 0.3670 data: 0.0003 [11-24 19:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:05:04 tlr: 4.1e-05 tnm: 0.60 Lm: 6.788 (6.757) Lt: 6.083 (6.061) Accm: 2.59 (2.62) Acct: 4.20 (4.07) proj_loss: -0.5923 (-0.5944) time: 0.3671 data: 0.0003 [11-24 19:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:05:04 tlr: 4.1e-05 tnm: 0.60 Lm: 6.646 (6.618) Lt: 5.971 (5.914) Accm: 2.85 (2.96) Acct: 4.70 (4.69) proj_loss: -0.6088 (-0.6076) time: 0.3671 data: 0.0003 [11-24 19:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.60 Lm: 6.658 (6.630) Lt: 5.984 (5.935) Accm: 3.00 (3.01) Acct: 4.87 (4.80) proj_loss: -0.6104 (-0.6087) time: 0.3625 data: 0.0003 [11-24 19:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.60 Lm: 6.645 (6.650) Lt: 5.933 (5.932) Accm: 2.93 (2.92) Acct: 4.48 (4.52) proj_loss: -0.6134 (-0.6125) time: 0.3625 data: 0.0003 [11-24 19:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.60 Lm: 6.617 (6.645) Lt: 5.903 (5.913) Accm: 3.09 (3.03) Acct: 4.72 (4.73) proj_loss: -0.5963 (-0.5950) time: 0.3625 data: 0.0003 [11-24 19:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.60 Lm: 6.732 (6.725) Lt: 6.033 (6.012) Accm: 2.82 (2.77) Acct: 4.43 (4.33) proj_loss: -0.5992 (-0.5974) time: 0.3625 data: 0.0003 [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.59 Lm: 6.772 (6.734) Lt: 6.057 (6.021) Accm: 2.87 (2.79) Acct: 4.56 (4.38) proj_loss: -0.6061 (-0.6033) time: 0.3639 data: 0.0022 [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:10:08 (0.365 s / it) [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.59 Lm: 6.669 (6.677) Lt: 5.996 (5.982) Accm: 2.85 (2.89) Acct: 4.70 (4.57) proj_loss: -0.6110 (-0.6091) time: 0.3639 data: 0.0019 [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.59 Lm: 6.640 (6.665) Lt: 5.947 (5.926) Accm: 2.91 (2.96) Acct: 4.41 (4.62) proj_loss: -0.5999 (-0.5960) time: 0.3639 data: 0.0024 [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.59 Lm: 6.605 (6.619) Lt: 5.898 (5.896) Accm: 3.10 (3.05) Acct: 4.72 (4.71) proj_loss: -0.6116 (-0.6090) time: 0.3639 data: 0.0020 [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:10:08 (0.365 s / it) [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:10:08 (0.365 s / it) [11-24 19:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:10:08 (0.365 s / it) [11-24 19:29:06] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 8:51:30, Finish: 2024-11-24 12:20 [11-24 19:29:06] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 8:51:19, Finish: 2024-11-24 12:20 [11-24 19:29:06] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 8:50:40, Finish: 2024-11-24 12:19 [11-24 19:29:06] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.668 (6.678), Lt: 5.956 (5.967), Acc m&t: 2.96 4.63, Remain: 8:51:21, Finish: 2024-11-24 12:20 [11-24 19:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:09:38 tlr: 4e-05 tnm: 0.58 Lm: 6.666 (6.666) Lt: 5.936 (5.936) Accm: 2.83 (2.83) Acct: 4.27 (4.27) proj_loss: -0.6134 (-0.6134) time: 0.3465 data: 0.0003 [11-24 19:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:09:38 tlr: 4e-05 tnm: 0.58 Lm: 6.566 (6.566) Lt: 5.855 (5.855) Accm: 3.39 (3.39) Acct: 5.15 (5.15) proj_loss: -0.6049 (-0.6049) time: 0.3465 data: 0.0004 [11-24 19:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:09:39 tlr: 4e-05 tnm: 0.58 Lm: 6.563 (6.563) Lt: 5.826 (5.826) Accm: 3.37 (3.37) Acct: 5.18 (5.18) proj_loss: -0.5950 (-0.5950) time: 0.3469 data: 0.0003 [11-24 19:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:09:37 tlr: 4e-05 tnm: 0.58 Lm: 6.756 (6.756) Lt: 6.032 (6.032) Accm: 2.61 (2.61) Acct: 3.99 (3.99) proj_loss: -0.5879 (-0.5879) time: 0.3460 data: 0.0004 [11-24 19:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:07:35 tlr: 4e-05 tnm: 0.62 Lm: 6.728 (6.728) Lt: 6.037 (6.037) Accm: 2.74 (2.74) Acct: 4.15 (4.15) proj_loss: -0.6017 (-0.6017) time: 0.3629 data: 0.0003 [11-24 19:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:07:35 tlr: 4e-05 tnm: 0.62 Lm: 6.555 (6.555) Lt: 5.840 (5.840) Accm: 3.31 (3.31) Acct: 5.04 (5.04) proj_loss: -0.6082 (-0.6082) time: 0.3629 data: 0.0003 [11-24 19:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:07:35 tlr: 4e-05 tnm: 0.62 Lm: 6.588 (6.588) Lt: 5.846 (5.846) Accm: 3.19 (3.19) Acct: 5.00 (5.00) proj_loss: -0.5984 (-0.5984) time: 0.3629 data: 0.0003 [11-24 19:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:07:35 tlr: 4e-05 tnm: 0.62 Lm: 6.654 (6.654) Lt: 5.960 (5.960) Accm: 3.09 (3.09) Acct: 4.45 (4.45) proj_loss: -0.6075 (-0.6075) time: 0.3629 data: 0.0003 [11-24 19:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:05:03 tlr: 4e-05 tnm: 0.58 Lm: 6.736 (6.681) Lt: 6.093 (6.010) Accm: 2.81 (2.95) Acct: 4.24 (4.38) proj_loss: -0.5980 (-0.6044) time: 0.3671 data: 0.0003 [11-24 19:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:05:03 tlr: 4e-05 tnm: 0.58 Lm: 6.666 (6.616) Lt: 5.909 (5.867) Accm: 3.08 (3.15) Acct: 5.10 (5.03) proj_loss: -0.5984 (-0.5984) time: 0.3670 data: 0.0003 [11-24 19:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:05:03 tlr: 4e-05 tnm: 0.58 Lm: 6.566 (6.614) Lt: 5.855 (5.885) Accm: 3.22 (3.18) Acct: 4.94 (4.94) proj_loss: -0.6049 (-0.5984) time: 0.3670 data: 0.0003 [11-24 19:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:05:03 tlr: 4e-05 tnm: 0.58 Lm: 6.700 (6.697) Lt: 6.032 (6.000) Accm: 2.88 (2.86) Acct: 4.30 (4.45) proj_loss: -0.6154 (-0.6073) time: 0.3670 data: 0.0003 [11-24 19:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.62 Lm: 6.675 (6.685) Lt: 5.978 (5.968) Accm: 2.93 (2.89) Acct: 4.55 (4.54) proj_loss: -0.6095 (-0.6064) time: 0.3631 data: 0.0003 [11-24 19:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.62 Lm: 6.741 (6.710) Lt: 6.098 (6.033) Accm: 2.74 (2.87) Acct: 4.19 (4.32) proj_loss: -0.6063 (-0.6069) time: 0.3631 data: 0.0003 [11-24 19:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.62 Lm: 6.653 (6.622) Lt: 5.918 (5.882) Accm: 3.08 (3.13) Acct: 5.03 (5.01) proj_loss: -0.6032 (-0.6008) time: 0.3631 data: 0.0003 [11-24 19:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:02:32 tlr: 4e-05 tnm: 0.62 Lm: 6.649 (6.653) Lt: 5.915 (5.933) Accm: 3.07 (3.04) Acct: 4.83 (4.73) proj_loss: -0.6026 (-0.5989) time: 0.3631 data: 0.0003 [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.61 Lm: 6.640 (6.596) Lt: 5.909 (5.852) Accm: 3.08 (3.19) Acct: 5.10 (5.06) proj_loss: -0.5984 (-0.5993) time: 0.3670 data: 0.0017 [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.61 Lm: 6.649 (6.665) Lt: 5.924 (5.932) Accm: 2.99 (2.94) Acct: 4.80 (4.64) proj_loss: -0.6036 (-0.6019) time: 0.3670 data: 0.0021 [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.61 Lm: 6.745 (6.719) Lt: 6.093 (6.044) Accm: 2.80 (2.86) Acct: 4.24 (4.37) proj_loss: -0.6145 (-0.6125) time: 0.3670 data: 0.0016 [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.61 Lm: 6.627 (6.648) Lt: 5.905 (5.927) Accm: 3.16 (3.06) Acct: 4.82 (4.75) proj_loss: -0.6003 (-0.5971) time: 0.3670 data: 0.0018 [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:10:12 (0.367 s / it) [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:10:12 (0.367 s / it) [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:10:12 (0.367 s / it) [11-24 19:39:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:10:12 (0.367 s / it) [11-24 19:39:19] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.662 (6.662), Lt: 5.948 (5.948), Acc m&t: 2.98 4.67, Remain: 8:41:27, Finish: 2024-11-24 12:20 [11-24 19:39:19] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.662 (6.662), Lt: 5.948 (5.948), Acc m&t: 2.98 4.67, Remain: 8:40:51, Finish: 2024-11-24 12:20 [11-24 19:39:19] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.662 (6.662), Lt: 5.948 (5.948), Acc m&t: 2.98 4.67, Remain: 8:41:22, Finish: 2024-11-24 12:20 [11-24 19:39:19] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.662 (6.662), Lt: 5.948 (5.948), Acc m&t: 2.98 4.67, Remain: 8:41:15, Finish: 2024-11-24 12:20 [11-24 19:39:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:09:43 tlr: 4e-05 tnm: 0.60 Lm: 6.783 (6.783) Lt: 6.077 (6.077) Accm: 2.56 (2.56) Acct: 4.15 (4.15) proj_loss: -0.6167 (-0.6167) time: 0.3493 data: 0.0004 [11-24 19:39:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:09:45 tlr: 4e-05 tnm: 0.60 Lm: 6.565 (6.565) Lt: 5.864 (5.864) Accm: 3.08 (3.08) Acct: 4.68 (4.68) proj_loss: -0.5914 (-0.5914) time: 0.3508 data: 0.0003 [11-24 19:39:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:09:43 tlr: 4e-05 tnm: 0.60 Lm: 6.659 (6.659) Lt: 5.938 (5.938) Accm: 2.83 (2.83) Acct: 4.42 (4.42) proj_loss: -0.6048 (-0.6048) time: 0.3499 data: 0.0004 [11-24 19:39:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:09:44 tlr: 4e-05 tnm: 0.60 Lm: 6.632 (6.632) Lt: 5.922 (5.922) Accm: 3.51 (3.51) Acct: 5.46 (5.46) proj_loss: -0.6118 (-0.6118) time: 0.3502 data: 0.0004 [11-24 19:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:07:54 tlr: 3.9e-05 tnm: 0.61 Lm: 6.684 (6.684) Lt: 5.968 (5.968) Accm: 3.12 (3.12) Acct: 4.74 (4.74) proj_loss: -0.6084 (-0.6084) time: 0.3611 data: 0.0002 [11-24 19:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:07:54 tlr: 3.9e-05 tnm: 0.61 Lm: 6.642 (6.642) Lt: 5.910 (5.910) Accm: 2.98 (2.98) Acct: 4.69 (4.69) proj_loss: -0.5987 (-0.5987) time: 0.3611 data: 0.0003 [11-24 19:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:07:54 tlr: 3.9e-05 tnm: 0.61 Lm: 6.601 (6.601) Lt: 5.915 (5.915) Accm: 2.98 (2.98) Acct: 4.53 (4.53) proj_loss: -0.6034 (-0.6034) time: 0.3611 data: 0.0003 [11-24 19:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:07:54 tlr: 3.9e-05 tnm: 0.61 Lm: 6.707 (6.707) Lt: 5.972 (5.972) Accm: 2.92 (2.92) Acct: 4.74 (4.74) proj_loss: -0.6039 (-0.6039) time: 0.3611 data: 0.0003 [11-24 19:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:05:13 tlr: 3.9e-05 tnm: 0.60 Lm: 6.698 (6.704) Lt: 5.969 (5.971) Accm: 2.70 (2.85) Acct: 4.29 (4.59) proj_loss: -0.6167 (-0.6133) time: 0.3637 data: 0.0003 [11-24 19:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:05:13 tlr: 3.9e-05 tnm: 0.60 Lm: 6.624 (6.614) Lt: 5.882 (5.881) Accm: 2.92 (2.96) Acct: 4.72 (4.70) proj_loss: -0.5994 (-0.5989) time: 0.3637 data: 0.0003 [11-24 19:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:05:13 tlr: 3.9e-05 tnm: 0.60 Lm: 6.736 (6.730) Lt: 6.014 (6.034) Accm: 2.72 (2.93) Acct: 4.17 (4.55) proj_loss: -0.6118 (-0.6136) time: 0.3637 data: 0.0003 [11-24 19:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:05:13 tlr: 3.9e-05 tnm: 0.60 Lm: 6.596 (6.599) Lt: 5.886 (5.905) Accm: 2.96 (2.98) Acct: 4.44 (4.50) proj_loss: -0.6155 (-0.6078) time: 0.3637 data: 0.0003 [11-24 19:47:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:02:37 tlr: 3.9e-05 tnm: 0.61 Lm: 6.616 (6.616) Lt: 5.899 (5.907) Accm: 3.02 (3.01) Acct: 4.56 (4.62) proj_loss: -0.6161 (-0.6114) time: 0.3625 data: 0.0003 [11-24 19:47:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:02:37 tlr: 3.9e-05 tnm: 0.61 Lm: 6.642 (6.633) Lt: 5.910 (5.906) Accm: 2.94 (2.96) Acct: 4.57 (4.63) proj_loss: -0.6021 (-0.6027) time: 0.3625 data: 0.0003 [11-24 19:47:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:02:37 tlr: 3.9e-05 tnm: 0.61 Lm: 6.718 (6.713) Lt: 6.004 (5.988) Accm: 2.71 (2.82) Acct: 4.34 (4.54) proj_loss: -0.6085 (-0.6101) time: 0.3625 data: 0.0003 [11-24 19:47:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:02:37 tlr: 3.9e-05 tnm: 0.61 Lm: 6.684 (6.693) Lt: 5.968 (5.987) Accm: 2.83 (2.93) Acct: 4.40 (4.57) proj_loss: -0.6111 (-0.6127) time: 0.3625 data: 0.0003 [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.60 Lm: 6.632 (6.674) Lt: 5.922 (5.951) Accm: 2.94 (2.96) Acct: 4.63 (4.64) proj_loss: -0.6118 (-0.6148) time: 0.3667 data: 0.0019 [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:10:26 (0.376 s / it) [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.60 Lm: 6.659 (6.642) Lt: 5.938 (5.917) Accm: 2.95 (3.04) Acct: 4.72 (4.79) proj_loss: -0.6044 (-0.6031) time: 0.3667 data: 0.0019 [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.60 Lm: 6.698 (6.703) Lt: 5.969 (5.984) Accm: 2.72 (2.80) Acct: 4.29 (4.48) proj_loss: -0.6141 (-0.6109) time: 0.3667 data: 0.0015 [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.60 Lm: 6.637 (6.640) Lt: 5.913 (5.950) Accm: 2.96 (2.91) Acct: 4.44 (4.46) proj_loss: -0.6166 (-0.6129) time: 0.3667 data: 0.0018 [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:10:26 (0.376 s / it) [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:10:26 (0.376 s / it) [11-24 19:49:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:10:26 (0.376 s / it) [11-24 19:52:07] (home/user/VAR/trainer.py, line 114)=> FID: 3.68084315965325 [11-24 19:52:07] (/home/user/VAR/train.py , line 259)=> [*] [ep299] (val 50000) Lm: 6.6665, Lt: 5.9498, Acc m&t: 2.98 4.66, Val cost: 140.77s [11-24 19:52:07] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 19:52:20] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.662 (6.667), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 8:32:24, Finish: 2024-11-24 12:22 [11-24 19:52:20] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.662 (6.667), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 8:32:08, Finish: 2024-11-24 12:21 [11-24 19:52:20] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.662 (6.667), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 8:32:05, Finish: 2024-11-24 12:21 [11-24 19:52:20] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.662 (6.667), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 8:32:07, Finish: 2024-11-24 12:21 [11-24 19:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:09:41 tlr: 3.9e-05 tnm: 0.59 Lm: 6.587 (6.587) Lt: 5.821 (5.821) Accm: 3.30 (3.30) Acct: 5.37 (5.37) proj_loss: -0.5862 (-0.5862) time: 0.3487 data: 0.0003 [11-24 19:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:09:42 tlr: 3.9e-05 tnm: 0.59 Lm: 6.862 (6.862) Lt: 6.147 (6.147) Accm: 2.56 (2.56) Acct: 4.24 (4.24) proj_loss: -0.5865 (-0.5865) time: 0.3491 data: 0.0004 [11-24 19:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:10:05 tlr: 3.9e-05 tnm: 0.59 Lm: 6.697 (6.697) Lt: 5.954 (5.954) Accm: 2.71 (2.71) Acct: 4.55 (4.55) proj_loss: -0.6047 (-0.6047) time: 0.3629 data: 0.0004 [11-24 19:52:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:09:43 tlr: 3.9e-05 tnm: 0.59 Lm: 6.601 (6.601) Lt: 5.871 (5.871) Accm: 3.19 (3.19) Acct: 5.25 (5.25) proj_loss: -0.5882 (-0.5882) time: 0.3493 data: 0.0004 [11-24 19:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:07:38 tlr: 3.9e-05 tnm: 0.61 Lm: 6.564 (6.564) Lt: 5.794 (5.794) Accm: 3.23 (3.23) Acct: 5.18 (5.18) proj_loss: -0.5826 (-0.5826) time: 0.4055 data: 0.0003 [11-24 19:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:07:38 tlr: 3.9e-05 tnm: 0.61 Lm: 6.567 (6.567) Lt: 5.806 (5.806) Accm: 3.25 (3.25) Acct: 5.29 (5.29) proj_loss: -0.6084 (-0.6084) time: 0.4055 data: 0.0003 [11-24 19:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:07:38 tlr: 3.9e-05 tnm: 0.61 Lm: 6.645 (6.645) Lt: 5.936 (5.936) Accm: 2.96 (2.96) Acct: 4.66 (4.66) proj_loss: -0.6042 (-0.6042) time: 0.4055 data: 0.0003 [11-24 19:54:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:07:38 tlr: 3.9e-05 tnm: 0.61 Lm: 6.715 (6.715) Lt: 6.007 (6.007) Accm: 2.98 (2.98) Acct: 4.69 (4.69) proj_loss: -0.6052 (-0.6052) time: 0.4055 data: 0.0003 [11-24 19:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:05:05 tlr: 3.8e-05 tnm: 0.59 Lm: 6.711 (6.713) Lt: 6.008 (6.007) Accm: 2.70 (2.88) Acct: 4.24 (4.53) proj_loss: -0.6181 (-0.6095) time: 0.3672 data: 0.0002 [11-24 19:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:05:05 tlr: 3.8e-05 tnm: 0.59 Lm: 6.696 (6.662) Lt: 5.977 (5.950) Accm: 2.99 (2.97) Acct: 4.42 (4.58) proj_loss: -0.6088 (-0.6057) time: 0.3672 data: 0.0003 [11-24 19:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:05:05 tlr: 3.8e-05 tnm: 0.59 Lm: 6.575 (6.569) Lt: 5.812 (5.808) Accm: 3.20 (3.23) Acct: 5.10 (5.22) proj_loss: -0.6047 (-0.6062) time: 0.3672 data: 0.0002 [11-24 19:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:05:05 tlr: 3.8e-05 tnm: 0.59 Lm: 6.601 (6.617) Lt: 5.871 (5.871) Accm: 3.19 (3.13) Acct: 5.11 (5.03) proj_loss: -0.5882 (-0.5859) time: 0.3672 data: 0.0002 [11-24 19:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:02:32 tlr: 3.8e-05 tnm: 0.59 Lm: 6.608 (6.616) Lt: 5.903 (5.887) Accm: 3.11 (3.10) Acct: 4.95 (4.97) proj_loss: -0.5904 (-0.5956) time: 0.3645 data: 0.0002 [11-24 19:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:02:32 tlr: 3.8e-05 tnm: 0.59 Lm: 6.672 (6.658) Lt: 5.953 (5.945) Accm: 2.90 (2.93) Acct: 4.48 (4.57) proj_loss: -0.5975 (-0.6004) time: 0.3646 data: 0.0003 [11-24 19:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:02:32 tlr: 3.8e-05 tnm: 0.59 Lm: 6.636 (6.608) Lt: 5.883 (5.860) Accm: 3.06 (3.15) Acct: 4.90 (5.09) proj_loss: -0.6046 (-0.6058) time: 0.3646 data: 0.0003 [11-24 19:59:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:02:32 tlr: 3.8e-05 tnm: 0.59 Lm: 6.651 (6.683) Lt: 5.958 (5.983) Accm: 2.87 (2.93) Acct: 4.61 (4.64) proj_loss: -0.6159 (-0.6106) time: 0.3646 data: 0.0003 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.61 Lm: 6.711 (6.699) Lt: 6.008 (6.003) Accm: 2.70 (2.86) Acct: 4.24 (4.49) proj_loss: -0.6137 (-0.6092) time: 0.3641 data: 0.0020 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:10:08 (0.365 s / it) [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.61 Lm: 6.647 (6.650) Lt: 5.928 (5.929) Accm: 2.88 (2.92) Acct: 4.53 (4.61) proj_loss: -0.5932 (-0.5989) time: 0.3641 data: 0.0016 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.61 Lm: 6.697 (6.631) Lt: 5.954 (5.893) Accm: 2.95 (3.11) Acct: 4.75 (5.02) proj_loss: -0.6047 (-0.6069) time: 0.3641 data: 0.0020 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.61 Lm: 6.614 (6.643) Lt: 5.934 (5.923) Accm: 3.03 (3.00) Acct: 4.79 (4.76) proj_loss: -0.5926 (-0.5980) time: 0.3641 data: 0.0019 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:10:08 (0.365 s / it) [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:10:08 (0.365 s / it) [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:10:08 (0.365 s / it) [11-24 20:02:29] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.662 (6.678), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:19:18, Finish: 2024-11-24 12:21 [11-24 20:02:29] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.662 (6.678), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:19:19, Finish: 2024-11-24 12:21 [11-24 20:02:29] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.662 (6.678), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:19:09, Finish: 2024-11-24 12:21 [11-24 20:02:29] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.662 (6.678), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:19:11, Finish: 2024-11-24 12:21 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:09:32 tlr: 3.8e-05 tnm: 0.61 Lm: 6.601 (6.601) Lt: 5.907 (5.907) Accm: 3.18 (3.18) Acct: 4.91 (4.91) proj_loss: -0.6046 (-0.6046) time: 0.3430 data: 0.0003 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:09:32 tlr: 3.8e-05 tnm: 0.61 Lm: 6.616 (6.616) Lt: 5.871 (5.871) Accm: 3.22 (3.22) Acct: 5.17 (5.17) proj_loss: -0.6048 (-0.6048) time: 0.3433 data: 0.0003 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:09:32 tlr: 3.8e-05 tnm: 0.61 Lm: 6.783 (6.783) Lt: 6.094 (6.094) Accm: 2.59 (2.59) Acct: 4.10 (4.10) proj_loss: -0.5832 (-0.5832) time: 0.3427 data: 0.0004 [11-24 20:02:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:09:33 tlr: 3.8e-05 tnm: 0.61 Lm: 6.688 (6.688) Lt: 6.023 (6.023) Accm: 2.95 (2.95) Acct: 4.44 (4.44) proj_loss: -0.6058 (-0.6058) time: 0.3436 data: 0.0004 [11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:07:39 tlr: 3.8e-05 tnm: 0.60 Lm: 6.738 (6.738) Lt: 6.059 (6.059) Accm: 2.70 (2.70) Acct: 3.98 (3.98) proj_loss: -0.6105 (-0.6105) time: 0.3619 data: 0.0003 [11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:07:39 tlr: 3.8e-05 tnm: 0.60 Lm: 6.638 (6.638) Lt: 5.932 (5.932) Accm: 2.98 (2.98) Acct: 4.67 (4.67) proj_loss: -0.5943 (-0.5943) time: 0.3619 data: 0.0003 [11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:07:39 tlr: 3.8e-05 tnm: 0.60 Lm: 6.780 (6.780) Lt: 6.085 (6.085) Accm: 2.63 (2.63) Acct: 4.16 (4.16) proj_loss: -0.5909 (-0.5909) time: 0.3619 data: 0.0003 [11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:07:39 tlr: 3.8e-05 tnm: 0.60 Lm: 6.674 (6.674) Lt: 5.960 (5.960) Accm: 3.14 (3.14) Acct: 4.97 (4.97) proj_loss: -0.6115 (-0.6115) time: 0.3619 data: 0.0003 [11-24 20:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:05:06 tlr: 3.8e-05 tnm: 0.61 Lm: 6.629 (6.659) Lt: 5.871 (5.926) Accm: 3.05 (3.10) Acct: 4.77 (4.90) proj_loss: -0.6048 (-0.6087) time: 0.3625 data: 0.0003 [11-24 20:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:05:06 tlr: 3.8e-05 tnm: 0.61 Lm: 6.676 (6.673) Lt: 5.957 (5.947) Accm: 2.94 (2.96) Acct: 4.82 (4.72) proj_loss: -0.5910 (-0.5932) time: 0.3625 data: 0.0003 [11-24 20:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:05:06 tlr: 3.8e-05 tnm: 0.61 Lm: 6.688 (6.721) Lt: 6.025 (6.047) Accm: 2.83 (2.74) Acct: 4.44 (4.14) proj_loss: -0.6153 (-0.6168) time: 0.3625 data: 0.0002 [11-24 20:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:05:06 tlr: 3.8e-05 tnm: 0.61 Lm: 6.778 (6.765) Lt: 6.076 (6.071) Accm: 2.64 (2.63) Acct: 4.10 (4.12) proj_loss: -0.5986 (-0.6004) time: 0.3625 data: 0.0003 [11-24 20:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:02:33 tlr: 3.8e-05 tnm: 0.60 Lm: 6.756 (6.731) Lt: 6.059 (6.044) Accm: 2.65 (2.77) Acct: 4.16 (4.28) proj_loss: -0.6090 (-0.6055) time: 0.3622 data: 0.0003 [11-24 20:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:02:33 tlr: 3.8e-05 tnm: 0.60 Lm: 6.652 (6.662) Lt: 5.932 (5.936) Accm: 2.89 (2.93) Acct: 4.74 (4.70) proj_loss: -0.5978 (-0.5970) time: 0.3622 data: 0.0003 [11-24 20:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:02:33 tlr: 3.8e-05 tnm: 0.60 Lm: 6.687 (6.690) Lt: 6.024 (6.001) Accm: 2.89 (2.80) Acct: 4.45 (4.28) proj_loss: -0.6105 (-0.6100) time: 0.3622 data: 0.0002 [11-24 20:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:02:33 tlr: 3.8e-05 tnm: 0.60 Lm: 6.677 (6.675) Lt: 5.951 (5.952) Accm: 3.04 (3.06) Acct: 4.77 (4.80) proj_loss: -0.6064 (-0.6085) time: 0.3622 data: 0.0002 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.61 Lm: 6.629 (6.626) Lt: 5.871 (5.905) Accm: 3.05 (3.15) Acct: 4.77 (4.89) proj_loss: -0.6080 (-0.6097) time: 0.3636 data: 0.0020 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:10:14 (0.368 s / it) [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.61 Lm: 6.688 (6.704) Lt: 6.025 (6.020) Accm: 2.83 (2.77) Acct: 4.44 (4.27) proj_loss: -0.6058 (-0.6077) time: 0.3636 data: 0.0017 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.61 Lm: 6.734 (6.706) Lt: 6.041 (6.013) Accm: 2.66 (2.83) Acct: 4.22 (4.33) proj_loss: -0.6048 (-0.6054) time: 0.3636 data: 0.0018 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:10:14 (0.368 s / it) [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.61 Lm: 6.676 (6.670) Lt: 5.957 (5.949) Accm: 2.85 (2.90) Acct: 4.67 (4.57) proj_loss: -0.5997 (-0.5975) time: 0.3636 data: 0.0019 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:10:14 (0.368 s / it) [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:10:14 (0.368 s / it) [11-24 20:12:44] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.662 (6.681), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:07:25, Finish: 2024-11-24 12:20 [11-24 20:12:44] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.662 (6.681), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:07:29, Finish: 2024-11-24 12:20 [11-24 20:12:44] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.662 (6.681), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:07:31, Finish: 2024-11-24 12:20 [11-24 20:12:44] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.662 (6.681), Lt: 5.948 (5.970), Acc m&t: 2.98 4.67, Remain: 8:07:30, Finish: 2024-11-24 12:20 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:10:25 tlr: 3.7e-05 tnm: 0.60 Lm: 6.596 (6.596) Lt: 5.900 (5.900) Accm: 3.24 (3.24) Acct: 5.06 (5.06) proj_loss: -0.5971 (-0.5971) time: 0.3749 data: 0.0004 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:10:25 tlr: 3.7e-05 tnm: 0.60 Lm: 6.578 (6.578) Lt: 5.820 (5.820) Accm: 3.41 (3.41) Acct: 5.34 (5.34) proj_loss: -0.5894 (-0.5894) time: 0.3749 data: 0.0003 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:10:17 tlr: 3.7e-05 tnm: 0.60 Lm: 6.847 (6.847) Lt: 6.199 (6.199) Accm: 2.55 (2.55) Acct: 3.87 (3.87) proj_loss: -0.6426 (-0.6426) time: 0.3700 data: 0.0004 [11-24 20:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:10:25 tlr: 3.7e-05 tnm: 0.60 Lm: 6.581 (6.581) Lt: 5.881 (5.881) Accm: 3.26 (3.26) Acct: 5.06 (5.06) proj_loss: -0.6168 (-0.6168) time: 0.3746 data: 0.0004 [11-24 20:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:07:57 tlr: 3.7e-05 tnm: 0.61 Lm: 6.628 (6.628) Lt: 5.907 (5.907) Accm: 3.03 (3.03) Acct: 4.74 (4.74) proj_loss: -0.5973 (-0.5973) time: 0.4093 data: 0.0003 [11-24 20:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:07:57 tlr: 3.7e-05 tnm: 0.61 Lm: 6.610 (6.610) Lt: 5.907 (5.907) Accm: 3.11 (3.11) Acct: 4.80 (4.80) proj_loss: -0.5974 (-0.5974) time: 0.4093 data: 0.0003 [11-24 20:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:07:57 tlr: 3.7e-05 tnm: 0.61 Lm: 6.616 (6.616) Lt: 5.890 (5.890) Accm: 3.09 (3.09) Acct: 4.84 (4.84) proj_loss: -0.5926 (-0.5926) time: 0.4093 data: 0.0003 [11-24 20:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:07:57 tlr: 3.7e-05 tnm: 0.61 Lm: 6.747 (6.747) Lt: 6.071 (6.071) Accm: 2.74 (2.74) Acct: 4.20 (4.20) proj_loss: -0.6216 (-0.6216) time: 0.4093 data: 0.0003 [11-24 20:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:05:14 tlr: 3.7e-05 tnm: 0.59 Lm: 6.780 (6.758) Lt: 6.128 (6.090) Accm: 2.55 (2.67) Acct: 3.99 (4.13) proj_loss: -0.6096 (-0.6176) time: 0.4067 data: 0.0003 [11-24 20:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:05:14 tlr: 3.7e-05 tnm: 0.59 Lm: 6.623 (6.698) Lt: 5.914 (6.006) Accm: 2.99 (2.97) Acct: 4.53 (4.64) proj_loss: -0.5971 (-0.5943) time: 0.4067 data: 0.0003 [11-24 20:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:05:14 tlr: 3.7e-05 tnm: 0.59 Lm: 6.578 (6.551) Lt: 5.820 (5.806) Accm: 3.41 (3.26) Acct: 5.34 (5.16) proj_loss: -0.5959 (-0.5951) time: 0.4067 data: 0.0003 [11-24 20:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:05:14 tlr: 3.7e-05 tnm: 0.59 Lm: 6.643 (6.633) Lt: 5.932 (5.925) Accm: 2.90 (2.99) Acct: 4.55 (4.68) proj_loss: -0.5968 (-0.5971) time: 0.4067 data: 0.0003 [11-24 20:20:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:02:38 tlr: 3.7e-05 tnm: 0.62 Lm: 6.659 (6.644) Lt: 5.948 (5.954) Accm: 2.99 (3.01) Acct: 4.57 (4.66) proj_loss: -0.6068 (-0.6059) time: 0.3612 data: 0.0003 [11-24 20:20:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:02:38 tlr: 3.7e-05 tnm: 0.62 Lm: 6.633 (6.684) Lt: 5.944 (5.998) Accm: 2.99 (2.98) Acct: 4.53 (4.61) proj_loss: -0.5974 (-0.6006) time: 0.3612 data: 0.0003 [11-24 20:20:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:02:38 tlr: 3.7e-05 tnm: 0.62 Lm: 6.616 (6.613) Lt: 5.890 (5.872) Accm: 3.09 (3.06) Acct: 4.84 (4.87) proj_loss: -0.5980 (-0.6005) time: 0.3612 data: 0.0003 [11-24 20:20:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:02:38 tlr: 3.7e-05 tnm: 0.62 Lm: 6.774 (6.761) Lt: 6.111 (6.091) Accm: 2.68 (2.70) Acct: 4.24 (4.22) proj_loss: -0.6109 (-0.6162) time: 0.3612 data: 0.0003 [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.59 Lm: 6.768 (6.726) Lt: 6.093 (6.047) Accm: 2.80 (2.78) Acct: 4.48 (4.34) proj_loss: -0.6096 (-0.6141) time: 0.3639 data: 0.0019 [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:10:26 (0.375 s / it) [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.59 Lm: 6.643 (6.640) Lt: 5.932 (5.946) Accm: 2.99 (3.01) Acct: 4.60 (4.65) proj_loss: -0.6083 (-0.6063) time: 0.3639 data: 0.0019 [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.59 Lm: 6.642 (6.699) Lt: 5.974 (6.005) Accm: 2.99 (2.94) Acct: 4.53 (4.60) proj_loss: -0.5971 (-0.5983) time: 0.3639 data: 0.0019 [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.59 Lm: 6.655 (6.652) Lt: 5.959 (5.919) Accm: 2.77 (2.98) Acct: 4.34 (4.76) proj_loss: -0.6002 (-0.6036) time: 0.3639 data: 0.0020 [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:10:26 (0.375 s / it) [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:10:26 (0.375 s / it) [11-24 20:23:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:10:26 (0.375 s / it) [11-24 20:23:10] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.662 (6.682), Lt: 5.948 (5.974), Acc m&t: 2.98 4.67, Remain: 8:00:07, Finish: 2024-11-24 12:23 [11-24 20:23:10] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.662 (6.682), Lt: 5.948 (5.974), Acc m&t: 2.98 4.67, Remain: 8:00:09, Finish: 2024-11-24 12:23 [11-24 20:23:10] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.662 (6.682), Lt: 5.948 (5.974), Acc m&t: 2.98 4.67, Remain: 8:00:15, Finish: 2024-11-24 12:23 [11-24 20:23:10] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.662 (6.682), Lt: 5.948 (5.974), Acc m&t: 2.98 4.67, Remain: 7:59:57, Finish: 2024-11-24 12:23 [11-24 20:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:09:35 tlr: 3.7e-05 tnm: 0.61 Lm: 6.797 (6.797) Lt: 6.133 (6.133) Accm: 2.45 (2.45) Acct: 3.93 (3.93) proj_loss: -0.6121 (-0.6121) time: 0.3448 data: 0.0003 [11-24 20:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:09:35 tlr: 3.7e-05 tnm: 0.61 Lm: 6.679 (6.679) Lt: 5.934 (5.934) Accm: 3.02 (3.02) Acct: 4.61 (4.61) proj_loss: -0.6133 (-0.6133) time: 0.3451 data: 0.0004 [11-24 20:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:09:35 tlr: 3.7e-05 tnm: 0.61 Lm: 6.566 (6.566) Lt: 5.780 (5.780) Accm: 3.41 (3.41) Acct: 5.35 (5.35) proj_loss: -0.5968 (-0.5968) time: 0.3446 data: 0.0003 [11-24 20:23:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:09:36 tlr: 3.7e-05 tnm: 0.61 Lm: 6.761 (6.761) Lt: 6.083 (6.083) Accm: 2.89 (2.89) Acct: 4.51 (4.51) proj_loss: -0.5966 (-0.5966) time: 0.3452 data: 0.0003 [11-24 20:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:07:38 tlr: 3.6e-05 tnm: 0.60 Lm: 6.752 (6.752) Lt: 6.084 (6.084) Accm: 2.55 (2.55) Acct: 4.16 (4.16) proj_loss: -0.6185 (-0.6185) time: 0.3623 data: 0.0003 [11-24 20:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:07:38 tlr: 3.6e-05 tnm: 0.60 Lm: 6.760 (6.760) Lt: 6.083 (6.083) Accm: 2.86 (2.86) Acct: 4.48 (4.48) proj_loss: -0.6030 (-0.6030) time: 0.3623 data: 0.0003 [11-24 20:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:07:38 tlr: 3.6e-05 tnm: 0.60 Lm: 6.615 (6.615) Lt: 5.878 (5.878) Accm: 3.18 (3.18) Acct: 4.98 (4.98) proj_loss: -0.6091 (-0.6091) time: 0.3623 data: 0.0003 [11-24 20:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:07:38 tlr: 3.6e-05 tnm: 0.60 Lm: 6.709 (6.709) Lt: 5.991 (5.991) Accm: 2.95 (2.95) Acct: 4.48 (4.48) proj_loss: -0.6154 (-0.6154) time: 0.3623 data: 0.0003 [11-24 20:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.61 Lm: 6.679 (6.693) Lt: 5.934 (5.963) Accm: 3.02 (3.01) Acct: 4.61 (4.57) proj_loss: -0.6133 (-0.5978) time: 0.3608 data: 0.0002 [11-24 20:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.61 Lm: 6.708 (6.724) Lt: 6.034 (6.046) Accm: 2.65 (2.69) Acct: 4.39 (4.30) proj_loss: -0.6250 (-0.6209) time: 0.3608 data: 0.0003 [11-24 20:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.61 Lm: 6.759 (6.729) Lt: 6.082 (6.019) Accm: 2.83 (2.81) Acct: 4.44 (4.44) proj_loss: -0.6050 (-0.6036) time: 0.3608 data: 0.0003 [11-24 20:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.61 Lm: 6.632 (6.621) Lt: 5.948 (5.901) Accm: 3.10 (3.15) Acct: 4.70 (4.89) proj_loss: -0.6215 (-0.6146) time: 0.3608 data: 0.0003 [11-24 20:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:02:31 tlr: 3.6e-05 tnm: 0.61 Lm: 6.648 (6.636) Lt: 5.960 (5.919) Accm: 3.07 (3.13) Acct: 4.80 (4.89) proj_loss: -0.6105 (-0.6108) time: 0.3623 data: 0.0003 [11-24 20:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:02:31 tlr: 3.6e-05 tnm: 0.61 Lm: 6.688 (6.696) Lt: 6.002 (5.995) Accm: 2.81 (2.80) Acct: 4.49 (4.48) proj_loss: -0.6185 (-0.6156) time: 0.3623 data: 0.0003 [11-24 20:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:02:31 tlr: 3.6e-05 tnm: 0.61 Lm: 6.713 (6.702) Lt: 6.006 (5.997) Accm: 2.86 (2.88) Acct: 4.45 (4.44) proj_loss: -0.6071 (-0.6086) time: 0.3623 data: 0.0003 [11-24 20:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:02:31 tlr: 3.6e-05 tnm: 0.61 Lm: 6.669 (6.661) Lt: 5.921 (5.929) Accm: 3.07 (3.04) Acct: 4.69 (4.68) proj_loss: -0.6028 (-0.5964) time: 0.3623 data: 0.0003 [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.59 Lm: 6.679 (6.671) Lt: 5.934 (5.937) Accm: 3.02 (2.99) Acct: 4.61 (4.63) proj_loss: -0.5979 (-0.5967) time: 0.3657 data: 0.0020 [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:10:06 (0.363 s / it) [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.59 Lm: 6.668 (6.681) Lt: 5.970 (5.970) Accm: 2.97 (2.89) Acct: 4.58 (4.62) proj_loss: -0.6121 (-0.6127) time: 0.3657 data: 0.0017 [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.59 Lm: 6.664 (6.677) Lt: 5.972 (5.960) Accm: 3.04 (3.00) Acct: 4.70 (4.68) proj_loss: -0.6123 (-0.6111) time: 0.3657 data: 0.0021 [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.59 Lm: 6.759 (6.723) Lt: 6.082 (6.022) Accm: 2.83 (2.82) Acct: 4.44 (4.31) proj_loss: -0.6050 (-0.6064) time: 0.3657 data: 0.0018 [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:10:06 (0.363 s / it) [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:10:06 (0.363 s / it) [11-24 20:33:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:10:06 (0.363 s / it) [11-24 20:33:16] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.662 (6.674), Lt: 5.948 (5.964), Acc m&t: 2.98 4.67, Remain: 7:48:57, Finish: 2024-11-24 12:22 [11-24 20:33:16] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.662 (6.674), Lt: 5.948 (5.964), Acc m&t: 2.98 4.67, Remain: 7:49:08, Finish: 2024-11-24 12:22 [11-24 20:33:16] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.662 (6.674), Lt: 5.948 (5.964), Acc m&t: 2.98 4.67, Remain: 7:49:23, Finish: 2024-11-24 12:22 [11-24 20:33:16] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.662 (6.674), Lt: 5.948 (5.964), Acc m&t: 2.98 4.67, Remain: 7:49:11, Finish: 2024-11-24 12:22 [11-24 20:33:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:09:39 tlr: 3.6e-05 tnm: 0.60 Lm: 6.532 (6.532) Lt: 5.831 (5.831) Accm: 3.21 (3.21) Acct: 5.17 (5.17) proj_loss: -0.6188 (-0.6188) time: 0.3472 data: 0.0003 [11-24 20:33:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:09:40 tlr: 3.6e-05 tnm: 0.60 Lm: 6.658 (6.658) Lt: 5.973 (5.973) Accm: 2.68 (2.68) Acct: 4.10 (4.10) proj_loss: -0.6194 (-0.6194) time: 0.3478 data: 0.0004 [11-24 20:33:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:09:40 tlr: 3.6e-05 tnm: 0.60 Lm: 6.635 (6.635) Lt: 5.945 (5.945) Accm: 2.98 (2.98) Acct: 4.46 (4.46) proj_loss: -0.5820 (-0.5820) time: 0.3481 data: 0.0004 [11-24 20:33:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:09:40 tlr: 3.6e-05 tnm: 0.60 Lm: 6.655 (6.655) Lt: 5.942 (5.942) Accm: 3.09 (3.09) Acct: 4.48 (4.48) proj_loss: -0.5931 (-0.5931) time: 0.3481 data: 0.0003 [11-24 20:35:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:07:33 tlr: 3.6e-05 tnm: 0.61 Lm: 6.624 (6.624) Lt: 5.900 (5.900) Accm: 3.10 (3.10) Acct: 4.55 (4.55) proj_loss: -0.6063 (-0.6063) time: 0.3645 data: 0.0003 [11-24 20:35:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:07:33 tlr: 3.6e-05 tnm: 0.61 Lm: 6.594 (6.594) Lt: 5.863 (5.863) Accm: 3.12 (3.12) Acct: 4.79 (4.79) proj_loss: -0.5921 (-0.5921) time: 0.3645 data: 0.0003 [11-24 20:35:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:07:33 tlr: 3.6e-05 tnm: 0.61 Lm: 6.604 (6.604) Lt: 5.873 (5.873) Accm: 2.99 (2.99) Acct: 4.88 (4.88) proj_loss: -0.5996 (-0.5996) time: 0.3646 data: 0.0003 [11-24 20:35:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:07:33 tlr: 3.6e-05 tnm: 0.61 Lm: 6.680 (6.680) Lt: 5.971 (5.971) Accm: 2.82 (2.82) Acct: 4.47 (4.47) proj_loss: -0.6082 (-0.6082) time: 0.3645 data: 0.0003 [11-24 20:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.62 Lm: 6.702 (6.696) Lt: 5.973 (5.979) Accm: 2.95 (2.88) Acct: 4.84 (4.63) proj_loss: -0.6079 (-0.6081) time: 0.3647 data: 0.0003 [11-24 20:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.62 Lm: 6.600 (6.596) Lt: 5.870 (5.865) Accm: 3.26 (3.17) Acct: 5.11 (4.96) proj_loss: -0.6021 (-0.5984) time: 0.3647 data: 0.0003 [11-24 20:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.62 Lm: 6.548 (6.585) Lt: 5.891 (5.879) Accm: 3.21 (3.07) Acct: 5.17 (4.98) proj_loss: -0.6135 (-0.6043) time: 0.3647 data: 0.0003 [11-24 20:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:05:04 tlr: 3.6e-05 tnm: 0.62 Lm: 6.655 (6.649) Lt: 5.942 (5.942) Accm: 3.09 (3.06) Acct: 4.61 (4.65) proj_loss: -0.6106 (-0.6077) time: 0.3646 data: 0.0003 [11-24 20:40:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:02:32 tlr: 3.5e-05 tnm: 0.60 Lm: 6.655 (6.650) Lt: 5.930 (5.936) Accm: 3.09 (3.07) Acct: 4.70 (4.69) proj_loss: -0.6100 (-0.6082) time: 0.3622 data: 0.0003 [11-24 20:40:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:02:32 tlr: 3.5e-05 tnm: 0.60 Lm: 6.680 (6.658) Lt: 5.971 (5.934) Accm: 2.99 (2.98) Acct: 4.89 (4.79) proj_loss: -0.6070 (-0.6076) time: 0.3622 data: 0.0003 [11-24 20:40:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:02:32 tlr: 3.5e-05 tnm: 0.60 Lm: 6.618 (6.613) Lt: 5.892 (5.877) Accm: 3.12 (3.11) Acct: 4.79 (4.83) proj_loss: -0.6065 (-0.6038) time: 0.3622 data: 0.0003 [11-24 20:40:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:02:32 tlr: 3.5e-05 tnm: 0.60 Lm: 6.612 (6.637) Lt: 5.903 (5.939) Accm: 2.99 (2.94) Acct: 4.88 (4.76) proj_loss: -0.6084 (-0.6040) time: 0.3622 data: 0.0003 [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.60 Lm: 6.676 (6.679) Lt: 5.915 (5.984) Accm: 2.78 (2.85) Acct: 4.60 (4.59) proj_loss: -0.6033 (-0.6004) time: 0.3628 data: 0.0018 [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:10:16 (0.370 s / it) [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.60 Lm: 6.635 (6.655) Lt: 5.913 (5.940) Accm: 2.98 (3.00) Acct: 4.46 (4.67) proj_loss: -0.6054 (-0.6041) time: 0.3628 data: 0.0020 [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.60 Lm: 6.654 (6.641) Lt: 5.920 (5.933) Accm: 3.10 (3.10) Acct: 4.79 (4.75) proj_loss: -0.6095 (-0.6057) time: 0.3628 data: 0.0016 [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.60 Lm: 6.702 (6.690) Lt: 5.973 (5.973) Accm: 2.95 (2.89) Acct: 4.84 (4.60) proj_loss: -0.6061 (-0.6012) time: 0.3628 data: 0.0021 [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:10:16 (0.370 s / it) [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:10:16 (0.370 s / it) [11-24 20:43:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:10:16 (0.370 s / it) [11-24 20:43:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.662 (6.683), Lt: 5.948 (5.969), Acc m&t: 2.98 4.67, Remain: 7:38:06, Finish: 2024-11-24 12:21 [11-24 20:43:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.662 (6.683), Lt: 5.948 (5.969), Acc m&t: 2.98 4.67, Remain: 7:38:05, Finish: 2024-11-24 12:21 [11-24 20:43:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.662 (6.683), Lt: 5.948 (5.969), Acc m&t: 2.98 4.67, Remain: 7:38:01, Finish: 2024-11-24 12:21 [11-24 20:43:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.662 (6.683), Lt: 5.948 (5.969), Acc m&t: 2.98 4.67, Remain: 7:37:55, Finish: 2024-11-24 12:21 [11-24 20:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:09:42 tlr: 3.5e-05 tnm: 0.61 Lm: 6.755 (6.755) Lt: 6.028 (6.028) Accm: 2.72 (2.72) Acct: 4.25 (4.25) proj_loss: -0.6014 (-0.6014) time: 0.3489 data: 0.0004 [11-24 20:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:09:42 tlr: 3.5e-05 tnm: 0.61 Lm: 6.747 (6.747) Lt: 5.999 (5.999) Accm: 2.70 (2.70) Acct: 4.17 (4.17) proj_loss: -0.6002 (-0.6002) time: 0.3493 data: 0.0003 [11-24 20:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:09:42 tlr: 3.5e-05 tnm: 0.61 Lm: 6.524 (6.524) Lt: 5.804 (5.804) Accm: 3.23 (3.23) Acct: 4.94 (4.94) proj_loss: -0.6178 (-0.6178) time: 0.3493 data: 0.0004 [11-24 20:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:09:41 tlr: 3.5e-05 tnm: 0.61 Lm: 6.737 (6.737) Lt: 6.085 (6.085) Accm: 2.66 (2.66) Acct: 4.24 (4.24) proj_loss: -0.6144 (-0.6144) time: 0.3485 data: 0.0004 [11-24 20:46:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:07:45 tlr: 3.5e-05 tnm: 0.60 Lm: 6.711 (6.711) Lt: 6.034 (6.034) Accm: 2.83 (2.83) Acct: 4.36 (4.36) proj_loss: -0.6113 (-0.6113) time: 0.3606 data: 0.0003 [11-24 20:46:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:07:45 tlr: 3.5e-05 tnm: 0.60 Lm: 6.711 (6.711) Lt: 6.001 (6.001) Accm: 2.95 (2.95) Acct: 4.52 (4.52) proj_loss: -0.6004 (-0.6004) time: 0.3606 data: 0.0003 [11-24 20:46:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:07:45 tlr: 3.5e-05 tnm: 0.60 Lm: 6.575 (6.575) Lt: 5.835 (5.835) Accm: 3.15 (3.15) Acct: 4.92 (4.92) proj_loss: -0.6087 (-0.6087) time: 0.3606 data: 0.0003 [11-24 20:46:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:07:45 tlr: 3.5e-05 tnm: 0.60 Lm: 6.733 (6.733) Lt: 6.008 (6.008) Accm: 2.76 (2.76) Acct: 4.36 (4.36) proj_loss: -0.6081 (-0.6081) time: 0.3606 data: 0.0002 [11-24 20:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:05:14 tlr: 3.5e-05 tnm: 0.61 Lm: 6.747 (6.747) Lt: 6.016 (6.028) Accm: 2.70 (2.69) Acct: 4.17 (4.25) proj_loss: -0.6002 (-0.6046) time: 0.4113 data: 0.0002 [11-24 20:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:05:14 tlr: 3.5e-05 tnm: 0.61 Lm: 6.627 (6.637) Lt: 5.866 (5.890) Accm: 3.07 (3.01) Acct: 4.89 (4.80) proj_loss: -0.6107 (-0.6093) time: 0.4113 data: 0.0003 [11-24 20:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:05:14 tlr: 3.5e-05 tnm: 0.61 Lm: 6.677 (6.700) Lt: 5.974 (5.975) Accm: 3.04 (2.98) Acct: 4.79 (4.64) proj_loss: -0.5995 (-0.5975) time: 0.4113 data: 0.0003 [11-24 20:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:05:14 tlr: 3.5e-05 tnm: 0.61 Lm: 6.684 (6.679) Lt: 5.983 (5.988) Accm: 3.00 (2.90) Acct: 4.49 (4.58) proj_loss: -0.6082 (-0.6033) time: 0.4113 data: 0.0002 [11-24 20:51:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:02:36 tlr: 3.5e-05 tnm: 0.61 Lm: 6.649 (6.644) Lt: 5.939 (5.932) Accm: 3.03 (3.00) Acct: 4.75 (4.71) proj_loss: -0.6068 (-0.6038) time: 0.3647 data: 0.0002 [11-24 20:51:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:02:36 tlr: 3.5e-05 tnm: 0.61 Lm: 6.672 (6.669) Lt: 5.948 (5.937) Accm: 3.00 (2.98) Acct: 4.73 (4.65) proj_loss: -0.6004 (-0.5990) time: 0.3647 data: 0.0003 [11-24 20:51:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:02:36 tlr: 3.5e-05 tnm: 0.61 Lm: 6.733 (6.722) Lt: 6.008 (5.993) Accm: 2.76 (2.75) Acct: 4.36 (4.34) proj_loss: -0.6081 (-0.6100) time: 0.3647 data: 0.0003 [11-24 20:51:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:02:36 tlr: 3.5e-05 tnm: 0.61 Lm: 6.575 (6.588) Lt: 5.835 (5.844) Accm: 3.15 (3.20) Acct: 4.92 (5.05) proj_loss: -0.6123 (-0.6105) time: 0.3647 data: 0.0003 [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.677 (6.684) Lt: 5.974 (5.960) Accm: 2.96 (2.90) Acct: 4.68 (4.52) proj_loss: -0.5995 (-0.5972) time: 0.3666 data: 0.0016 [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.684 (6.669) Lt: 5.983 (5.963) Accm: 3.00 (2.96) Acct: 4.51 (4.67) proj_loss: -0.6078 (-0.6046) time: 0.3666 data: 0.0019 [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.747 (6.733) Lt: 6.016 (6.017) Accm: 2.70 (2.73) Acct: 4.17 (4.24) proj_loss: -0.6007 (-0.6081) time: 0.3666 data: 0.0019 [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.627 (6.615) Lt: 5.866 (5.877) Accm: 3.07 (3.13) Acct: 4.89 (4.98) proj_loss: -0.6139 (-0.6112) time: 0.3666 data: 0.0022 [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:10:22 (0.373 s / it) [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:10:22 (0.373 s / it) [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:10:22 (0.373 s / it) [11-24 20:53:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:10:22 (0.373 s / it) [11-24 20:53:56] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:30:53, Finish: 2024-11-24 12:24 [11-24 20:53:56] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:30:54, Finish: 2024-11-24 12:24 [11-24 20:53:56] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:30:54, Finish: 2024-11-24 12:24 [11-24 20:53:56] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:30:46, Finish: 2024-11-24 12:24 [11-24 20:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:09:48 tlr: 3.4e-05 tnm: 0.62 Lm: 6.628 (6.628) Lt: 5.950 (5.950) Accm: 2.97 (2.97) Acct: 4.39 (4.39) proj_loss: -0.6387 (-0.6387) time: 0.3524 data: 0.0004 [11-24 20:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:09:48 tlr: 3.4e-05 tnm: 0.62 Lm: 6.527 (6.527) Lt: 5.803 (5.803) Accm: 3.26 (3.26) Acct: 4.92 (4.92) proj_loss: -0.6096 (-0.6096) time: 0.3525 data: 0.0003 [11-24 20:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:09:48 tlr: 3.4e-05 tnm: 0.62 Lm: 6.705 (6.705) Lt: 6.007 (6.007) Accm: 2.82 (2.82) Acct: 4.25 (4.25) proj_loss: -0.6089 (-0.6089) time: 0.3528 data: 0.0004 [11-24 20:53:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:09:49 tlr: 3.4e-05 tnm: 0.62 Lm: 6.461 (6.461) Lt: 5.638 (5.638) Accm: 3.65 (3.65) Acct: 5.87 (5.87) proj_loss: -0.6081 (-0.6081) time: 0.3530 data: 0.0004 [11-24 20:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:07:38 tlr: 3.4e-05 tnm: 0.61 Lm: 6.499 (6.499) Lt: 5.711 (5.711) Accm: 3.48 (3.48) Acct: 5.58 (5.58) proj_loss: -0.6062 (-0.6062) time: 0.3636 data: 0.0003 [11-24 20:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:07:38 tlr: 3.4e-05 tnm: 0.61 Lm: 6.587 (6.587) Lt: 5.862 (5.862) Accm: 3.17 (3.17) Acct: 4.97 (4.97) proj_loss: -0.6101 (-0.6101) time: 0.3636 data: 0.0003 [11-24 20:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:07:38 tlr: 3.4e-05 tnm: 0.61 Lm: 6.639 (6.639) Lt: 5.950 (5.950) Accm: 3.02 (3.02) Acct: 4.66 (4.66) proj_loss: -0.6125 (-0.6125) time: 0.3636 data: 0.0003 [11-24 20:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:07:38 tlr: 3.4e-05 tnm: 0.61 Lm: 6.635 (6.635) Lt: 5.945 (5.945) Accm: 3.12 (3.12) Acct: 4.70 (4.70) proj_loss: -0.6229 (-0.6229) time: 0.3636 data: 0.0002 [11-24 20:59:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:05:04 tlr: 3.4e-05 tnm: 0.61 Lm: 6.628 (6.628) Lt: 5.941 (5.936) Accm: 2.99 (3.08) Acct: 4.68 (4.69) proj_loss: -0.6102 (-0.6187) time: 0.3611 data: 0.0003 [11-24 20:59:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:05:04 tlr: 3.4e-05 tnm: 0.61 Lm: 6.589 (6.588) Lt: 5.814 (5.846) Accm: 3.10 (3.15) Acct: 4.92 (4.91) proj_loss: -0.6096 (-0.6046) time: 0.3611 data: 0.0003 [11-24 20:59:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:05:04 tlr: 3.4e-05 tnm: 0.61 Lm: 6.573 (6.615) Lt: 5.893 (5.903) Accm: 3.18 (3.07) Acct: 4.92 (4.75) proj_loss: -0.6089 (-0.6104) time: 0.3611 data: 0.0002 [11-24 20:59:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:05:04 tlr: 3.4e-05 tnm: 0.61 Lm: 6.537 (6.550) Lt: 5.784 (5.796) Accm: 3.31 (3.26) Acct: 5.29 (5.19) proj_loss: -0.6081 (-0.6095) time: 0.3611 data: 0.0003 [11-24 21:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:02:32 tlr: 3.4e-05 tnm: 0.62 Lm: 6.595 (6.596) Lt: 5.875 (5.861) Accm: 3.07 (3.12) Acct: 4.86 (4.95) proj_loss: -0.6062 (-0.6079) time: 0.3636 data: 0.0003 [11-24 21:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:02:32 tlr: 3.4e-05 tnm: 0.62 Lm: 6.639 (6.647) Lt: 5.950 (5.932) Accm: 3.00 (3.00) Acct: 4.70 (4.68) proj_loss: -0.6086 (-0.6098) time: 0.3636 data: 0.0003 [11-24 21:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:02:32 tlr: 3.4e-05 tnm: 0.62 Lm: 6.618 (6.618) Lt: 5.867 (5.892) Accm: 3.09 (3.08) Acct: 4.86 (4.76) proj_loss: -0.6100 (-0.6061) time: 0.3636 data: 0.0003 [11-24 21:01:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:02:32 tlr: 3.4e-05 tnm: 0.62 Lm: 6.635 (6.643) Lt: 5.930 (5.931) Accm: 2.98 (3.02) Acct: 4.61 (4.66) proj_loss: -0.6087 (-0.6142) time: 0.3636 data: 0.0003 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.628 (6.612) Lt: 5.919 (5.893) Accm: 2.99 (3.09) Acct: 4.68 (4.82) proj_loss: -0.6093 (-0.6132) time: 0.3639 data: 0.0017 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:10:06 (0.364 s / it) [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.611 (6.617) Lt: 5.894 (5.892) Accm: 3.07 (3.05) Acct: 4.79 (4.72) proj_loss: -0.6096 (-0.6049) time: 0.3639 data: 0.0018 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.568 (6.590) Lt: 5.861 (5.861) Accm: 3.31 (3.21) Acct: 5.29 (5.04) proj_loss: -0.6044 (-0.6056) time: 0.3639 data: 0.0017 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.61 Lm: 6.657 (6.649) Lt: 5.946 (5.935) Accm: 2.82 (2.95) Acct: 4.48 (4.60) proj_loss: -0.6089 (-0.6107) time: 0.3639 data: 0.0020 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:10:06 (0.364 s / it) [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:10:06 (0.364 s / it) [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:10:06 (0.364 s / it) [11-24 21:04:03] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.662 (6.669), Lt: 5.948 (5.959), Acc m&t: 2.98 4.67, Remain: 7:16:12, Finish: 2024-11-24 12:20 [11-24 21:04:03] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.662 (6.669), Lt: 5.948 (5.959), Acc m&t: 2.98 4.67, Remain: 7:16:18, Finish: 2024-11-24 12:20 [11-24 21:04:03] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.662 (6.669), Lt: 5.948 (5.959), Acc m&t: 2.98 4.67, Remain: 7:16:18, Finish: 2024-11-24 12:20 [11-24 21:04:03] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.662 (6.669), Lt: 5.948 (5.959), Acc m&t: 2.98 4.67, Remain: 7:16:18, Finish: 2024-11-24 12:20 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:09:45 tlr: 3.4e-05 tnm: 0.61 Lm: 6.694 (6.694) Lt: 5.981 (5.981) Accm: 2.95 (2.95) Acct: 4.87 (4.87) proj_loss: -0.5874 (-0.5874) time: 0.3510 data: 0.0004 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:09:46 tlr: 3.4e-05 tnm: 0.61 Lm: 6.716 (6.716) Lt: 5.984 (5.984) Accm: 2.91 (2.91) Acct: 4.60 (4.60) proj_loss: -0.6015 (-0.6015) time: 0.3513 data: 0.0003 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:09:45 tlr: 3.4e-05 tnm: 0.61 Lm: 6.704 (6.704) Lt: 5.987 (5.987) Accm: 3.16 (3.16) Acct: 5.06 (5.06) proj_loss: -0.6219 (-0.6219) time: 0.3511 data: 0.0003 [11-24 21:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:09:40 tlr: 3.4e-05 tnm: 0.61 Lm: 6.726 (6.726) Lt: 6.073 (6.073) Accm: 2.74 (2.74) Acct: 4.13 (4.13) proj_loss: -0.6385 (-0.6385) time: 0.3480 data: 0.0003 [11-24 21:06:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:07:32 tlr: 3.4e-05 tnm: 0.61 Lm: 6.648 (6.648) Lt: 5.984 (5.984) Accm: 2.88 (2.88) Acct: 4.42 (4.42) proj_loss: -0.6244 (-0.6244) time: 0.3607 data: 0.0003 [11-24 21:06:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:07:32 tlr: 3.4e-05 tnm: 0.61 Lm: 6.787 (6.787) Lt: 6.108 (6.108) Accm: 2.60 (2.60) Acct: 4.24 (4.24) proj_loss: -0.6005 (-0.6005) time: 0.3607 data: 0.0003 [11-24 21:06:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:07:32 tlr: 3.4e-05 tnm: 0.61 Lm: 6.660 (6.660) Lt: 5.952 (5.952) Accm: 3.05 (3.05) Acct: 4.73 (4.73) proj_loss: -0.6194 (-0.6194) time: 0.3607 data: 0.0003 [11-24 21:06:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:07:32 tlr: 3.4e-05 tnm: 0.61 Lm: 6.683 (6.683) Lt: 5.937 (5.937) Accm: 2.90 (2.90) Acct: 4.79 (4.79) proj_loss: -0.6020 (-0.6020) time: 0.3607 data: 0.0003 [11-24 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:05:04 tlr: 3.3e-05 tnm: 0.63 Lm: 6.695 (6.756) Lt: 5.981 (6.047) Accm: 2.82 (2.68) Acct: 4.70 (4.39) proj_loss: -0.5998 (-0.6003) time: 0.4099 data: 0.0003 [11-24 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:05:04 tlr: 3.3e-05 tnm: 0.63 Lm: 6.616 (6.641) Lt: 5.918 (5.941) Accm: 3.16 (3.15) Acct: 5.06 (4.87) proj_loss: -0.6169 (-0.6155) time: 0.4099 data: 0.0003 [11-24 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:05:04 tlr: 3.3e-05 tnm: 0.63 Lm: 6.685 (6.661) Lt: 5.920 (5.963) Accm: 3.02 (2.93) Acct: 4.70 (4.54) proj_loss: -0.6103 (-0.6090) time: 0.4099 data: 0.0003 [11-24 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:05:04 tlr: 3.3e-05 tnm: 0.63 Lm: 6.649 (6.653) Lt: 5.890 (5.919) Accm: 2.91 (2.93) Acct: 4.86 (4.81) proj_loss: -0.6026 (-0.6108) time: 0.4099 data: 0.0003 [11-24 21:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:02:33 tlr: 3.3e-05 tnm: 0.61 Lm: 6.683 (6.676) Lt: 5.937 (5.941) Accm: 2.90 (2.86) Acct: 4.73 (4.67) proj_loss: -0.6020 (-0.6057) time: 0.3614 data: 0.0003 [11-24 21:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:02:33 tlr: 3.3e-05 tnm: 0.61 Lm: 6.706 (6.692) Lt: 5.997 (5.998) Accm: 2.88 (2.88) Acct: 4.42 (4.42) proj_loss: -0.6133 (-0.6109) time: 0.3614 data: 0.0003 [11-24 21:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:02:33 tlr: 3.3e-05 tnm: 0.61 Lm: 6.782 (6.784) Lt: 6.075 (6.078) Accm: 2.54 (2.57) Acct: 4.15 (4.17) proj_loss: -0.6067 (-0.6037) time: 0.3614 data: 0.0003 [11-24 21:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:02:33 tlr: 3.3e-05 tnm: 0.61 Lm: 6.658 (6.656) Lt: 5.930 (5.941) Accm: 3.05 (3.06) Acct: 4.79 (4.78) proj_loss: -0.6123 (-0.6102) time: 0.3614 data: 0.0003 [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.60 Lm: 6.700 (6.676) Lt: 5.941 (5.959) Accm: 2.94 (2.99) Acct: 4.51 (4.71) proj_loss: -0.6076 (-0.6078) time: 0.4027 data: 0.0020 [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:10:16 (0.369 s / it) [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.60 Lm: 6.695 (6.755) Lt: 5.981 (6.044) Accm: 2.82 (2.66) Acct: 4.70 (4.32) proj_loss: -0.5998 (-0.6012) time: 0.4027 data: 0.0020 [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.60 Lm: 6.649 (6.666) Lt: 5.966 (5.946) Accm: 2.91 (2.90) Acct: 4.60 (4.64) proj_loss: -0.6015 (-0.6020) time: 0.4027 data: 0.0020 [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.60 Lm: 6.704 (6.694) Lt: 5.967 (5.992) Accm: 2.74 (2.85) Acct: 4.24 (4.38) proj_loss: -0.6103 (-0.6072) time: 0.4027 data: 0.0016 [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:10:16 (0.369 s / it) [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:10:16 (0.369 s / it) [11-24 21:14:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:10:16 (0.369 s / it) [11-24 21:14:19] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.662 (6.664), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:10:47, Finish: 2024-11-24 12:25 [11-24 21:14:19] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.662 (6.664), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:10:16, Finish: 2024-11-24 12:24 [11-24 21:14:19] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.662 (6.664), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:10:36, Finish: 2024-11-24 12:24 [11-24 21:14:19] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.662 (6.664), Lt: 5.948 (5.950), Acc m&t: 2.98 4.67, Remain: 7:10:15, Finish: 2024-11-24 12:24 [11-24 21:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:09:37 tlr: 3.3e-05 tnm: 0.62 Lm: 6.625 (6.625) Lt: 5.938 (5.938) Accm: 2.96 (2.96) Acct: 4.77 (4.77) proj_loss: -0.6092 (-0.6092) time: 0.3458 data: 0.0003 [11-24 21:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:09:37 tlr: 3.3e-05 tnm: 0.62 Lm: 6.718 (6.718) Lt: 6.046 (6.046) Accm: 3.02 (3.02) Acct: 4.46 (4.46) proj_loss: -0.6134 (-0.6134) time: 0.3461 data: 0.0004 [11-24 21:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:09:44 tlr: 3.3e-05 tnm: 0.62 Lm: 6.689 (6.689) Lt: 5.918 (5.918) Accm: 2.89 (2.89) Acct: 4.68 (4.68) proj_loss: -0.6211 (-0.6211) time: 0.3503 data: 0.0003 [11-24 21:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:09:43 tlr: 3.3e-05 tnm: 0.62 Lm: 6.718 (6.718) Lt: 6.019 (6.019) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5907 (-0.5907) time: 0.3495 data: 0.0004 [11-24 21:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:07:49 tlr: 3.3e-05 tnm: 0.62 Lm: 6.768 (6.768) Lt: 6.092 (6.092) Accm: 2.53 (2.53) Acct: 3.79 (3.79) proj_loss: -0.5872 (-0.5872) time: 0.4490 data: 0.0003 [11-24 21:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:07:49 tlr: 3.3e-05 tnm: 0.62 Lm: 6.681 (6.681) Lt: 5.998 (5.998) Accm: 3.22 (3.22) Acct: 4.80 (4.80) proj_loss: -0.6102 (-0.6102) time: 0.4490 data: 0.0003 [11-24 21:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:07:49 tlr: 3.3e-05 tnm: 0.62 Lm: 6.550 (6.550) Lt: 5.842 (5.842) Accm: 3.25 (3.25) Acct: 5.11 (5.11) proj_loss: -0.6023 (-0.6023) time: 0.4490 data: 0.0003 [11-24 21:16:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:07:49 tlr: 3.3e-05 tnm: 0.62 Lm: 6.749 (6.749) Lt: 6.019 (6.019) Accm: 2.74 (2.74) Acct: 4.24 (4.24) proj_loss: -0.6101 (-0.6101) time: 0.4490 data: 0.0003 [11-24 21:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:05:15 tlr: 3.3e-05 tnm: 0.61 Lm: 6.732 (6.743) Lt: 6.062 (6.034) Accm: 2.59 (2.68) Acct: 3.79 (4.03) proj_loss: -0.6137 (-0.6113) time: 0.3628 data: 0.0003 [11-24 21:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:05:15 tlr: 3.3e-05 tnm: 0.61 Lm: 6.644 (6.641) Lt: 5.949 (5.925) Accm: 3.41 (3.29) Acct: 5.15 (5.02) proj_loss: -0.6134 (-0.6127) time: 0.3628 data: 0.0003 [11-24 21:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:05:15 tlr: 3.3e-05 tnm: 0.61 Lm: 6.625 (6.587) Lt: 5.938 (5.905) Accm: 2.96 (3.13) Acct: 4.77 (4.88) proj_loss: -0.6092 (-0.6090) time: 0.3628 data: 0.0003 [11-24 21:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:05:15 tlr: 3.3e-05 tnm: 0.61 Lm: 6.718 (6.744) Lt: 6.019 (6.062) Accm: 2.60 (2.61) Acct: 3.99 (4.06) proj_loss: -0.5907 (-0.5923) time: 0.3628 data: 0.0003 [11-24 21:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:02:36 tlr: 3.2e-05 tnm: 0.62 Lm: 6.711 (6.734) Lt: 6.033 (6.058) Accm: 2.68 (2.69) Acct: 4.27 (4.18) proj_loss: -0.5967 (-0.5962) time: 0.3648 data: 0.0003 [11-24 21:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:02:36 tlr: 3.2e-05 tnm: 0.62 Lm: 6.722 (6.735) Lt: 6.045 (6.032) Accm: 2.63 (2.67) Acct: 3.74 (3.95) proj_loss: -0.6064 (-0.6063) time: 0.3648 data: 0.0002 [11-24 21:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:02:36 tlr: 3.2e-05 tnm: 0.62 Lm: 6.602 (6.606) Lt: 5.866 (5.889) Accm: 3.43 (3.37) Acct: 5.30 (5.20) proj_loss: -0.6155 (-0.6160) time: 0.3648 data: 0.0003 [11-24 21:22:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:02:36 tlr: 3.2e-05 tnm: 0.62 Lm: 6.587 (6.577) Lt: 5.882 (5.885) Accm: 3.25 (3.24) Acct: 5.11 (5.03) proj_loss: -0.6107 (-0.6098) time: 0.3648 data: 0.0003 [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.625 (6.606) Lt: 5.938 (5.906) Accm: 3.04 (3.20) Acct: 4.77 (4.95) proj_loss: -0.6092 (-0.6088) time: 0.3640 data: 0.0016 [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:10:22 (0.373 s / it) [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.644 (6.620) Lt: 5.949 (5.909) Accm: 3.41 (3.29) Acct: 5.15 (5.15) proj_loss: -0.6134 (-0.6106) time: 0.3640 data: 0.0019 [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.732 (6.738) Lt: 6.029 (6.031) Accm: 2.61 (2.66) Acct: 3.79 (3.95) proj_loss: -0.5990 (-0.6032) time: 0.3640 data: 0.0017 [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.711 (6.730) Lt: 6.019 (6.039) Accm: 2.76 (2.70) Acct: 4.27 (4.20) proj_loss: -0.6027 (-0.5983) time: 0.3640 data: 0.0021 [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:10:22 (0.373 s / it) [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:10:22 (0.373 s / it) [11-24 21:24:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:10:22 (0.373 s / it) [11-24 21:24:42] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:57:25, Finish: 2024-11-24 12:22 [11-24 21:24:42] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:57:37, Finish: 2024-11-24 12:22 [11-24 21:24:42] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:57:43, Finish: 2024-11-24 12:22 [11-24 21:24:42] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.662 (6.666), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:57:43, Finish: 2024-11-24 12:22 [11-24 21:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:09:37 tlr: 3.2e-05 tnm: 0.61 Lm: 6.595 (6.595) Lt: 5.897 (5.897) Accm: 3.48 (3.48) Acct: 5.49 (5.49) proj_loss: -0.5983 (-0.5983) time: 0.3459 data: 0.0004 [11-24 21:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:09:37 tlr: 3.2e-05 tnm: 0.61 Lm: 6.648 (6.648) Lt: 5.961 (5.961) Accm: 2.96 (2.96) Acct: 4.70 (4.70) proj_loss: -0.5930 (-0.5930) time: 0.3458 data: 0.0003 [11-24 21:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:09:36 tlr: 3.2e-05 tnm: 0.61 Lm: 6.711 (6.711) Lt: 6.033 (6.033) Accm: 2.95 (2.95) Acct: 4.41 (4.41) proj_loss: -0.6082 (-0.6082) time: 0.3456 data: 0.0004 [11-24 21:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:09:36 tlr: 3.2e-05 tnm: 0.61 Lm: 6.582 (6.582) Lt: 5.850 (5.850) Accm: 3.10 (3.10) Acct: 4.72 (4.72) proj_loss: -0.6226 (-0.6226) time: 0.3453 data: 0.0004 [11-24 21:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:07:37 tlr: 3.2e-05 tnm: 0.63 Lm: 6.636 (6.636) Lt: 5.928 (5.928) Accm: 2.99 (2.99) Acct: 4.59 (4.59) proj_loss: -0.6088 (-0.6088) time: 0.3631 data: 0.0003 [11-24 21:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:07:37 tlr: 3.2e-05 tnm: 0.63 Lm: 6.679 (6.679) Lt: 5.978 (5.978) Accm: 2.90 (2.90) Acct: 4.61 (4.61) proj_loss: -0.5988 (-0.5988) time: 0.3631 data: 0.0003 [11-24 21:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:07:37 tlr: 3.2e-05 tnm: 0.63 Lm: 6.641 (6.641) Lt: 5.925 (5.925) Accm: 3.03 (3.03) Acct: 4.77 (4.77) proj_loss: -0.6009 (-0.6009) time: 0.3631 data: 0.0003 [11-24 21:27:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:07:37 tlr: 3.2e-05 tnm: 0.63 Lm: 6.604 (6.604) Lt: 5.869 (5.869) Accm: 3.01 (3.01) Acct: 4.67 (4.67) proj_loss: -0.6124 (-0.6124) time: 0.3631 data: 0.0003 [11-24 21:29:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:05:03 tlr: 3.2e-05 tnm: 0.60 Lm: 6.711 (6.686) Lt: 6.033 (6.007) Accm: 2.95 (2.84) Acct: 4.41 (4.36) proj_loss: -0.6094 (-0.6116) time: 0.3621 data: 0.0003 [11-24 21:29:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:05:03 tlr: 3.2e-05 tnm: 0.60 Lm: 6.625 (6.672) Lt: 5.887 (5.946) Accm: 2.91 (2.92) Acct: 4.63 (4.52) proj_loss: -0.6023 (-0.6075) time: 0.3621 data: 0.0003 [11-24 21:29:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:05:03 tlr: 3.2e-05 tnm: 0.60 Lm: 6.687 (6.723) Lt: 5.954 (6.013) Accm: 2.57 (2.78) Acct: 4.05 (4.38) proj_loss: -0.5983 (-0.5994) time: 0.3621 data: 0.0003 [11-24 21:29:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:05:03 tlr: 3.2e-05 tnm: 0.60 Lm: 6.648 (6.662) Lt: 5.961 (5.967) Accm: 2.96 (2.96) Acct: 4.70 (4.64) proj_loss: -0.6045 (-0.6041) time: 0.3621 data: 0.0003 [11-24 21:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:02:31 tlr: 3.2e-05 tnm: 0.62 Lm: 6.637 (6.646) Lt: 5.953 (5.948) Accm: 2.96 (2.96) Acct: 4.65 (4.63) proj_loss: -0.6074 (-0.6057) time: 0.3615 data: 0.0003 [11-24 21:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:02:31 tlr: 3.2e-05 tnm: 0.62 Lm: 6.604 (6.604) Lt: 5.869 (5.874) Accm: 3.01 (3.11) Acct: 4.67 (4.80) proj_loss: -0.6006 (-0.6054) time: 0.3615 data: 0.0003 [11-24 21:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:02:31 tlr: 3.2e-05 tnm: 0.62 Lm: 6.759 (6.750) Lt: 6.071 (6.057) Accm: 2.48 (2.68) Acct: 3.98 (4.26) proj_loss: -0.6009 (-0.6014) time: 0.3615 data: 0.0003 [11-24 21:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:02:31 tlr: 3.2e-05 tnm: 0.62 Lm: 6.668 (6.670) Lt: 5.954 (5.974) Accm: 2.99 (2.91) Acct: 4.59 (4.49) proj_loss: -0.6090 (-0.6108) time: 0.3615 data: 0.0003 [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.711 (6.681) Lt: 6.033 (5.986) Accm: 2.95 (2.87) Acct: 4.41 (4.41) proj_loss: -0.6086 (-0.6057) time: 0.3643 data: 0.0022 [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:10:06 (0.363 s / it) [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.687 (6.712) Lt: 5.954 (6.009) Accm: 2.57 (2.83) Acct: 4.05 (4.45) proj_loss: -0.5983 (-0.5999) time: 0.3643 data: 0.0021 [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.627 (6.635) Lt: 5.945 (5.925) Accm: 2.96 (2.99) Acct: 4.65 (4.63) proj_loss: -0.6103 (-0.6070) time: 0.3643 data: 0.0018 [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.63 Lm: 6.582 (6.588) Lt: 5.850 (5.865) Accm: 3.10 (3.15) Acct: 4.72 (4.84) proj_loss: -0.6023 (-0.6057) time: 0.3643 data: 0.0017 [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:10:06 (0.363 s / it) [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:10:06 (0.363 s / it) [11-24 21:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:10:06 (0.363 s / it) [11-24 21:37:10] (home/user/VAR/trainer.py, line 114)=> FID: 3.650328092392556 [11-24 21:37:10] (/home/user/VAR/train.py , line 259)=> [*] [ep309] (val 50000) Lm: 6.6653, Lt: 5.9537, Acc m&t: 2.96 4.63, Val cost: 141.63s [11-24 21:37:10] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 21:37:23] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.662 (6.665), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:47:19, Finish: 2024-11-24 12:22 [11-24 21:37:23] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.662 (6.665), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:47:20, Finish: 2024-11-24 12:22 [11-24 21:37:23] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.662 (6.665), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:47:23, Finish: 2024-11-24 12:22 [11-24 21:37:23] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.662 (6.665), Lt: 5.948 (5.954), Acc m&t: 2.98 4.67, Remain: 6:47:13, Finish: 2024-11-24 12:22 [11-24 21:37:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:10:01 tlr: 3.2e-05 tnm: 0.62 Lm: 6.716 (6.716) Lt: 6.012 (6.012) Accm: 2.78 (2.78) Acct: 4.46 (4.46) proj_loss: -0.6096 (-0.6096) time: 0.3605 data: 0.0004 [11-24 21:37:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:10:02 tlr: 3.2e-05 tnm: 0.62 Lm: 6.710 (6.710) Lt: 6.000 (6.000) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: -0.6002 (-0.6002) time: 0.3607 data: 0.0004 [11-24 21:37:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:10:03 tlr: 3.2e-05 tnm: 0.62 Lm: 6.786 (6.786) Lt: 6.081 (6.081) Accm: 2.65 (2.65) Acct: 4.15 (4.15) proj_loss: -0.6008 (-0.6008) time: 0.3617 data: 0.0004 [11-24 21:37:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:10:05 tlr: 3.2e-05 tnm: 0.62 Lm: 6.811 (6.811) Lt: 6.109 (6.109) Accm: 2.59 (2.59) Acct: 4.22 (4.22) proj_loss: -0.6048 (-0.6048) time: 0.3625 data: 0.0003 [11-24 21:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:07:41 tlr: 3.1e-05 tnm: 0.64 Lm: 6.726 (6.726) Lt: 6.015 (6.015) Accm: 2.75 (2.75) Acct: 4.12 (4.12) proj_loss: -0.6024 (-0.6024) time: 0.3644 data: 0.0003 [11-24 21:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:07:41 tlr: 3.1e-05 tnm: 0.64 Lm: 6.689 (6.689) Lt: 5.970 (5.970) Accm: 3.15 (3.15) Acct: 4.96 (4.96) proj_loss: -0.5930 (-0.5930) time: 0.3644 data: 0.0003 [11-24 21:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:07:41 tlr: 3.1e-05 tnm: 0.64 Lm: 6.684 (6.684) Lt: 5.982 (5.982) Accm: 2.77 (2.77) Acct: 4.36 (4.36) proj_loss: -0.6072 (-0.6072) time: 0.3644 data: 0.0003 [11-24 21:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:07:41 tlr: 3.1e-05 tnm: 0.64 Lm: 6.600 (6.600) Lt: 5.834 (5.834) Accm: 3.19 (3.19) Acct: 5.22 (5.22) proj_loss: -0.5935 (-0.5935) time: 0.3644 data: 0.0003 [11-24 21:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:05:08 tlr: 3.1e-05 tnm: 0.63 Lm: 6.675 (6.625) Lt: 5.967 (5.879) Accm: 2.88 (2.99) Acct: 4.55 (4.88) proj_loss: -0.6002 (-0.5966) time: 0.4140 data: 0.0002 [11-24 21:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:05:08 tlr: 3.1e-05 tnm: 0.63 Lm: 6.719 (6.699) Lt: 5.962 (5.968) Accm: 2.70 (3.00) Acct: 4.36 (4.76) proj_loss: -0.6008 (-0.5957) time: 0.4140 data: 0.0003 [11-24 21:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:05:08 tlr: 3.1e-05 tnm: 0.63 Lm: 6.641 (6.662) Lt: 5.920 (5.938) Accm: 2.90 (2.96) Acct: 4.22 (4.61) proj_loss: -0.6001 (-0.6013) time: 0.4140 data: 0.0003 [11-24 21:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:05:08 tlr: 3.1e-05 tnm: 0.63 Lm: 6.716 (6.717) Lt: 6.012 (6.006) Accm: 2.76 (2.77) Acct: 4.46 (4.39) proj_loss: -0.6048 (-0.6039) time: 0.4140 data: 0.0003 [11-24 21:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:02:34 tlr: 3.1e-05 tnm: 0.64 Lm: 6.684 (6.642) Lt: 5.984 (5.915) Accm: 2.86 (2.96) Acct: 4.55 (4.80) proj_loss: -0.6015 (-0.6029) time: 0.3633 data: 0.0003 [11-24 21:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:02:34 tlr: 3.1e-05 tnm: 0.64 Lm: 6.649 (6.661) Lt: 5.925 (5.936) Accm: 2.95 (2.97) Acct: 4.51 (4.66) proj_loss: -0.6013 (-0.6016) time: 0.3633 data: 0.0002 [11-24 21:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:02:34 tlr: 3.1e-05 tnm: 0.64 Lm: 6.736 (6.712) Lt: 5.987 (5.979) Accm: 2.76 (2.96) Acct: 4.33 (4.64) proj_loss: -0.6009 (-0.5985) time: 0.3633 data: 0.0003 [11-24 21:45:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:02:34 tlr: 3.1e-05 tnm: 0.64 Lm: 6.721 (6.719) Lt: 5.991 (5.997) Accm: 2.77 (2.78) Acct: 4.41 (4.38) proj_loss: -0.6020 (-0.6027) time: 0.3634 data: 0.0003 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.62 Lm: 6.716 (6.711) Lt: 5.985 (5.994) Accm: 2.78 (2.80) Acct: 4.46 (4.41) proj_loss: -0.6048 (-0.6055) time: 0.4092 data: 0.0019 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:10:20 (0.372 s / it) [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.62 Lm: 6.719 (6.693) Lt: 5.962 (5.964) Accm: 2.82 (2.95) Acct: 4.36 (4.60) proj_loss: -0.6009 (-0.6021) time: 0.4092 data: 0.0018 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.62 Lm: 6.675 (6.617) Lt: 5.967 (5.891) Accm: 2.88 (3.00) Acct: 4.56 (4.82) proj_loss: -0.6028 (-0.6073) time: 0.4092 data: 0.0017 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.62 Lm: 6.657 (6.664) Lt: 5.929 (5.944) Accm: 3.00 (2.99) Acct: 4.70 (4.67) proj_loss: -0.6025 (-0.6050) time: 0.4092 data: 0.0020 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:10:20 (0.372 s / it) [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:10:20 (0.372 s / it) [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:10:20 (0.372 s / it) [11-24 21:47:44] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.659 (6.659), Lt: 5.940 (5.940), Acc m&t: 2.98 4.70, Remain: 6:37:34, Finish: 2024-11-24 12:25 [11-24 21:47:44] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.659 (6.659), Lt: 5.940 (5.940), Acc m&t: 2.98 4.70, Remain: 6:37:59, Finish: 2024-11-24 12:25 [11-24 21:47:44] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.659 (6.659), Lt: 5.940 (5.940), Acc m&t: 2.98 4.70, Remain: 6:37:59, Finish: 2024-11-24 12:25 [11-24 21:47:44] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.659 (6.659), Lt: 5.940 (5.940), Acc m&t: 2.98 4.70, Remain: 6:37:24, Finish: 2024-11-24 12:25 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:09:29 tlr: 3.1e-05 tnm: 0.62 Lm: 6.564 (6.564) Lt: 5.776 (5.776) Accm: 3.45 (3.45) Acct: 5.53 (5.53) proj_loss: -0.5993 (-0.5993) time: 0.3413 data: 0.0003 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:09:30 tlr: 3.1e-05 tnm: 0.62 Lm: 6.701 (6.701) Lt: 6.004 (6.004) Accm: 2.80 (2.80) Acct: 4.25 (4.25) proj_loss: -0.6167 (-0.6167) time: 0.3420 data: 0.0004 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:09:31 tlr: 3.1e-05 tnm: 0.62 Lm: 6.700 (6.700) Lt: 6.008 (6.008) Accm: 2.80 (2.80) Acct: 4.18 (4.18) proj_loss: -0.6266 (-0.6266) time: 0.3426 data: 0.0004 [11-24 21:47:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:09:32 tlr: 3.1e-05 tnm: 0.62 Lm: 6.848 (6.848) Lt: 6.208 (6.208) Accm: 2.47 (2.47) Acct: 3.72 (3.72) proj_loss: -0.6055 (-0.6055) time: 0.3430 data: 0.0004 [11-24 21:50:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:07:46 tlr: 3.1e-05 tnm: 0.64 Lm: 6.716 (6.716) Lt: 6.037 (6.037) Accm: 2.87 (2.87) Acct: 4.21 (4.21) proj_loss: -0.6131 (-0.6131) time: 0.3652 data: 0.0002 [11-24 21:50:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:07:46 tlr: 3.1e-05 tnm: 0.64 Lm: 6.696 (6.696) Lt: 5.999 (5.999) Accm: 2.79 (2.79) Acct: 4.14 (4.14) proj_loss: -0.6154 (-0.6154) time: 0.3652 data: 0.0003 [11-24 21:50:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:07:46 tlr: 3.1e-05 tnm: 0.64 Lm: 6.664 (6.664) Lt: 5.903 (5.903) Accm: 3.17 (3.17) Acct: 5.15 (5.15) proj_loss: -0.6058 (-0.6058) time: 0.3652 data: 0.0003 [11-24 21:50:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:07:46 tlr: 3.1e-05 tnm: 0.64 Lm: 6.632 (6.632) Lt: 5.927 (5.927) Accm: 3.01 (3.01) Acct: 4.61 (4.61) proj_loss: -0.6117 (-0.6117) time: 0.3652 data: 0.0003 [11-24 21:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:05:13 tlr: 3e-05 tnm: 0.63 Lm: 6.660 (6.641) Lt: 5.906 (5.920) Accm: 2.94 (2.99) Acct: 4.75 (4.66) proj_loss: -0.6085 (-0.6106) time: 0.3613 data: 0.0003 [11-24 21:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:05:13 tlr: 3e-05 tnm: 0.63 Lm: 6.692 (6.682) Lt: 5.989 (5.975) Accm: 2.80 (2.84) Acct: 4.18 (4.28) proj_loss: -0.6234 (-0.6181) time: 0.3613 data: 0.0003 [11-24 21:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:05:13 tlr: 3e-05 tnm: 0.63 Lm: 6.684 (6.706) Lt: 5.967 (6.013) Accm: 2.99 (2.91) Acct: 4.68 (4.37) proj_loss: -0.6124 (-0.6129) time: 0.3613 data: 0.0003 [11-24 21:52:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:05:13 tlr: 3e-05 tnm: 0.63 Lm: 6.729 (6.685) Lt: 6.020 (5.942) Accm: 2.89 (3.07) Acct: 4.77 (4.99) proj_loss: -0.6055 (-0.6057) time: 0.3613 data: 0.0003 [11-24 21:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:02:36 tlr: 3e-05 tnm: 0.63 Lm: 6.616 (6.624) Lt: 5.878 (5.888) Accm: 2.91 (2.96) Acct: 4.69 (4.65) proj_loss: -0.6101 (-0.6109) time: 0.3611 data: 0.0003 [11-24 21:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:02:36 tlr: 3e-05 tnm: 0.63 Lm: 6.696 (6.694) Lt: 5.994 (5.981) Accm: 2.83 (2.85) Acct: 4.36 (4.35) proj_loss: -0.6159 (-0.6157) time: 0.3611 data: 0.0003 [11-24 21:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:02:36 tlr: 3e-05 tnm: 0.63 Lm: 6.702 (6.683) Lt: 5.987 (5.945) Accm: 2.89 (3.00) Acct: 4.72 (4.88) proj_loss: -0.6024 (-0.6018) time: 0.3611 data: 0.0003 [11-24 21:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:02:36 tlr: 3e-05 tnm: 0.63 Lm: 6.634 (6.670) Lt: 5.916 (5.977) Accm: 3.14 (3.05) Acct: 4.69 (4.58) proj_loss: -0.6090 (-0.6056) time: 0.3611 data: 0.0003 [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.64 Lm: 6.586 (6.653) Lt: 5.896 (5.960) Accm: 3.19 (3.08) Acct: 4.70 (4.67) proj_loss: -0.6103 (-0.6066) time: 0.3633 data: 0.0017 [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.64 Lm: 6.572 (6.605) Lt: 5.850 (5.875) Accm: 2.94 (3.10) Acct: 4.75 (4.93) proj_loss: -0.6085 (-0.6073) time: 0.3633 data: 0.0015 [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:10:21 (0.372 s / it) [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.64 Lm: 6.727 (6.692) Lt: 5.985 (5.953) Accm: 2.88 (2.95) Acct: 4.67 (4.77) proj_loss: -0.5993 (-0.6005) time: 0.3633 data: 0.0015 [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.64 Lm: 6.692 (6.674) Lt: 5.989 (5.966) Accm: 2.86 (2.96) Acct: 4.55 (4.56) proj_loss: -0.6084 (-0.6132) time: 0.3633 data: 0.0019 [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:10:21 (0.372 s / it) [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:10:21 (0.372 s / it) [11-24 21:58:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:10:21 (0.372 s / it) [11-24 21:58:05] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.654 (6.654), Lt: 5.938 (5.938), Acc m&t: 2.99 4.71, Remain: 6:25:30, Finish: 2024-11-24 12:23 [11-24 21:58:05] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.654 (6.654), Lt: 5.938 (5.938), Acc m&t: 2.99 4.71, Remain: 6:25:23, Finish: 2024-11-24 12:23 [11-24 21:58:05] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.654 (6.654), Lt: 5.938 (5.938), Acc m&t: 2.99 4.71, Remain: 6:25:34, Finish: 2024-11-24 12:23 [11-24 21:58:05] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.654 (6.654), Lt: 5.938 (5.938), Acc m&t: 2.99 4.71, Remain: 6:25:19, Finish: 2024-11-24 12:23 [11-24 21:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:09:30 tlr: 3e-05 tnm: 0.62 Lm: 6.691 (6.691) Lt: 5.996 (5.996) Accm: 2.72 (2.72) Acct: 4.08 (4.08) proj_loss: -0.6161 (-0.6161) time: 0.3415 data: 0.0003 [11-24 21:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:09:30 tlr: 3e-05 tnm: 0.62 Lm: 6.641 (6.641) Lt: 5.912 (5.912) Accm: 2.91 (2.91) Acct: 4.49 (4.49) proj_loss: -0.6105 (-0.6105) time: 0.3420 data: 0.0004 [11-24 21:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:09:29 tlr: 3e-05 tnm: 0.62 Lm: 6.607 (6.607) Lt: 5.896 (5.896) Accm: 3.32 (3.32) Acct: 5.42 (5.42) proj_loss: -0.6094 (-0.6094) time: 0.3415 data: 0.0004 [11-24 21:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:09:32 tlr: 3e-05 tnm: 0.62 Lm: 6.657 (6.657) Lt: 5.916 (5.916) Accm: 2.98 (2.98) Acct: 4.82 (4.82) proj_loss: -0.6323 (-0.6323) time: 0.3432 data: 0.0003 [11-24 22:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:07:38 tlr: 3e-05 tnm: 0.63 Lm: 6.745 (6.745) Lt: 6.024 (6.024) Accm: 2.74 (2.74) Acct: 4.44 (4.44) proj_loss: -0.6214 (-0.6214) time: 0.3620 data: 0.0003 [11-24 22:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:07:38 tlr: 3e-05 tnm: 0.63 Lm: 6.727 (6.727) Lt: 6.034 (6.034) Accm: 2.79 (2.79) Acct: 4.40 (4.40) proj_loss: -0.6158 (-0.6158) time: 0.3620 data: 0.0003 [11-24 22:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:07:38 tlr: 3e-05 tnm: 0.63 Lm: 6.631 (6.631) Lt: 5.909 (5.909) Accm: 3.18 (3.18) Acct: 5.12 (5.12) proj_loss: -0.5993 (-0.5993) time: 0.3620 data: 0.0003 [11-24 22:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:07:38 tlr: 3e-05 tnm: 0.63 Lm: 6.662 (6.662) Lt: 5.926 (5.926) Accm: 2.83 (2.83) Acct: 4.45 (4.45) proj_loss: -0.6033 (-0.6033) time: 0.3620 data: 0.0002 [11-24 22:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:05:04 tlr: 3e-05 tnm: 0.62 Lm: 6.682 (6.685) Lt: 5.939 (5.948) Accm: 2.75 (2.79) Acct: 4.41 (4.38) proj_loss: -0.5961 (-0.6004) time: 0.3619 data: 0.0002 [11-24 22:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:05:04 tlr: 3e-05 tnm: 0.62 Lm: 6.657 (6.658) Lt: 5.916 (5.931) Accm: 2.98 (3.15) Acct: 4.82 (5.00) proj_loss: -0.6180 (-0.6203) time: 0.3619 data: 0.0003 [11-24 22:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:05:04 tlr: 3e-05 tnm: 0.62 Lm: 6.655 (6.699) Lt: 5.922 (5.990) Accm: 3.04 (2.89) Acct: 4.82 (4.64) proj_loss: -0.6077 (-0.6021) time: 0.3619 data: 0.0003 [11-24 22:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:05:04 tlr: 3e-05 tnm: 0.62 Lm: 6.719 (6.724) Lt: 6.010 (6.026) Accm: 2.86 (2.86) Acct: 4.51 (4.44) proj_loss: -0.6161 (-0.6161) time: 0.3619 data: 0.0003 [11-24 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:02:32 tlr: 3e-05 tnm: 0.63 Lm: 6.728 (6.727) Lt: 6.019 (6.026) Accm: 2.79 (2.76) Acct: 4.30 (4.27) proj_loss: -0.6158 (-0.6131) time: 0.3637 data: 0.0003 [11-24 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:02:32 tlr: 3e-05 tnm: 0.63 Lm: 6.666 (6.676) Lt: 5.938 (5.945) Accm: 2.74 (2.77) Acct: 4.43 (4.40) proj_loss: -0.6010 (-0.6017) time: 0.3637 data: 0.0002 [11-24 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:02:32 tlr: 3e-05 tnm: 0.63 Lm: 6.646 (6.652) Lt: 5.900 (5.919) Accm: 3.04 (3.14) Acct: 4.87 (4.98) proj_loss: -0.6142 (-0.6161) time: 0.3637 data: 0.0003 [11-24 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:02:32 tlr: 3e-05 tnm: 0.63 Lm: 6.686 (6.703) Lt: 5.946 (5.985) Accm: 3.07 (2.95) Acct: 4.92 (4.73) proj_loss: -0.6018 (-0.6005) time: 0.3637 data: 0.0003 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.64 Lm: 6.716 (6.718) Lt: 5.969 (6.002) Accm: 3.04 (2.86) Acct: 4.82 (4.58) proj_loss: -0.6077 (-0.6058) time: 0.3656 data: 0.0021 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:10:07 (0.364 s / it) [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.64 Lm: 6.723 (6.726) Lt: 6.010 (6.016) Accm: 2.81 (2.77) Acct: 4.51 (4.34) proj_loss: -0.6154 (-0.6111) time: 0.3656 data: 0.0018 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.64 Lm: 6.649 (6.667) Lt: 5.937 (5.927) Accm: 2.75 (2.81) Acct: 4.46 (4.49) proj_loss: -0.5961 (-0.5990) time: 0.3656 data: 0.0016 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.64 Lm: 6.657 (6.674) Lt: 5.916 (5.941) Accm: 2.98 (3.03) Acct: 4.82 (4.87) proj_loss: -0.6105 (-0.6122) time: 0.3656 data: 0.0018 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:10:07 (0.364 s / it) [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:10:07 (0.364 s / it) [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:10:07 (0.364 s / it) [11-24 22:08:13] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.654 (6.682), Lt: 5.938 (5.968), Acc m&t: 2.99 4.71, Remain: 6:16:51, Finish: 2024-11-24 12:25 [11-24 22:08:13] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.654 (6.682), Lt: 5.938 (5.968), Acc m&t: 2.99 4.71, Remain: 6:17:04, Finish: 2024-11-24 12:25 [11-24 22:08:13] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.654 (6.682), Lt: 5.938 (5.968), Acc m&t: 2.99 4.71, Remain: 6:16:47, Finish: 2024-11-24 12:25 [11-24 22:08:13] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.654 (6.682), Lt: 5.938 (5.968), Acc m&t: 2.99 4.71, Remain: 6:16:38, Finish: 2024-11-24 12:24 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:10:07 tlr: 2.9e-05 tnm: 0.63 Lm: 6.798 (6.798) Lt: 6.157 (6.157) Accm: 2.74 (2.74) Acct: 4.29 (4.29) proj_loss: -0.6247 (-0.6247) time: 0.3641 data: 0.0004 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:10:07 tlr: 2.9e-05 tnm: 0.63 Lm: 6.907 (6.907) Lt: 6.262 (6.262) Accm: 2.33 (2.33) Acct: 3.75 (3.75) proj_loss: -0.6073 (-0.6073) time: 0.3639 data: 0.0004 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:10:02 tlr: 2.9e-05 tnm: 0.63 Lm: 6.621 (6.621) Lt: 5.928 (5.928) Accm: 3.18 (3.18) Acct: 4.99 (4.99) proj_loss: -0.6213 (-0.6213) time: 0.3607 data: 0.0004 [11-24 22:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:10:08 tlr: 2.9e-05 tnm: 0.63 Lm: 6.410 (6.410) Lt: 5.652 (5.652) Accm: 3.82 (3.82) Acct: 5.96 (5.96) proj_loss: -0.5988 (-0.5988) time: 0.3647 data: 0.0004 [11-24 22:10:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:07:38 tlr: 2.9e-05 tnm: 0.61 Lm: 6.818 (6.818) Lt: 6.159 (6.159) Accm: 2.61 (2.61) Acct: 4.05 (4.05) proj_loss: -0.6206 (-0.6206) time: 0.3628 data: 0.0002 [11-24 22:10:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:07:38 tlr: 2.9e-05 tnm: 0.61 Lm: 6.808 (6.808) Lt: 6.165 (6.165) Accm: 2.53 (2.53) Acct: 3.89 (3.89) proj_loss: -0.5978 (-0.5978) time: 0.3628 data: 0.0003 [11-24 22:10:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:07:38 tlr: 2.9e-05 tnm: 0.61 Lm: 6.517 (6.517) Lt: 5.788 (5.788) Accm: 3.34 (3.34) Acct: 5.26 (5.26) proj_loss: -0.6026 (-0.6026) time: 0.3628 data: 0.0003 [11-24 22:10:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:07:38 tlr: 2.9e-05 tnm: 0.61 Lm: 6.578 (6.578) Lt: 5.884 (5.884) Accm: 3.13 (3.13) Acct: 4.86 (4.86) proj_loss: -0.6296 (-0.6296) time: 0.3628 data: 0.0003 [11-24 22:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:05:07 tlr: 2.9e-05 tnm: 0.63 Lm: 6.621 (6.626) Lt: 5.928 (5.919) Accm: 3.07 (3.03) Acct: 4.73 (4.75) proj_loss: -0.6213 (-0.6217) time: 0.3636 data: 0.0002 [11-24 22:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:05:07 tlr: 2.9e-05 tnm: 0.63 Lm: 6.708 (6.753) Lt: 6.067 (6.081) Accm: 2.73 (2.67) Acct: 4.03 (4.25) proj_loss: -0.6073 (-0.6063) time: 0.3636 data: 0.0003 [11-24 22:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:05:07 tlr: 2.9e-05 tnm: 0.63 Lm: 6.623 (6.590) Lt: 5.925 (5.874) Accm: 2.87 (3.13) Acct: 4.56 (4.85) proj_loss: -0.6065 (-0.6084) time: 0.3636 data: 0.0002 [11-24 22:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:05:07 tlr: 2.9e-05 tnm: 0.63 Lm: 6.798 (6.772) Lt: 6.157 (6.082) Accm: 2.74 (2.73) Acct: 4.29 (4.28) proj_loss: -0.6166 (-0.6136) time: 0.3637 data: 0.0003 [11-24 22:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:02:33 tlr: 2.9e-05 tnm: 0.66 Lm: 6.739 (6.706) Lt: 6.041 (5.996) Accm: 2.86 (2.97) Acct: 4.51 (4.75) proj_loss: -0.6117 (-0.6119) time: 0.3650 data: 0.0003 [11-24 22:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:02:33 tlr: 2.9e-05 tnm: 0.66 Lm: 6.624 (6.598) Lt: 5.927 (5.888) Accm: 3.00 (3.13) Acct: 4.82 (4.91) proj_loss: -0.6071 (-0.6082) time: 0.3650 data: 0.0002 [11-24 22:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:02:33 tlr: 2.9e-05 tnm: 0.66 Lm: 6.610 (6.619) Lt: 5.903 (5.909) Accm: 3.13 (3.07) Acct: 4.86 (4.83) proj_loss: -0.6159 (-0.6189) time: 0.3650 data: 0.0003 [11-24 22:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:02:33 tlr: 2.9e-05 tnm: 0.66 Lm: 6.685 (6.730) Lt: 6.020 (6.054) Accm: 2.83 (2.79) Acct: 4.49 (4.43) proj_loss: -0.6047 (-0.6053) time: 0.3650 data: 0.0003 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.63 Lm: 6.708 (6.756) Lt: 6.067 (6.083) Accm: 2.73 (2.71) Acct: 4.03 (4.30) proj_loss: -0.6021 (-0.6031) time: 0.4054 data: 0.0017 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.63 Lm: 6.681 (6.701) Lt: 5.999 (5.996) Accm: 2.81 (2.94) Acct: 4.29 (4.64) proj_loss: -0.6067 (-0.6097) time: 0.4054 data: 0.0020 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.63 Lm: 6.624 (6.610) Lt: 5.925 (5.892) Accm: 2.87 (3.07) Acct: 4.67 (4.86) proj_loss: -0.6077 (-0.6085) time: 0.4054 data: 0.0017 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.63 Lm: 6.598 (6.615) Lt: 5.878 (5.899) Accm: 3.18 (3.10) Acct: 4.99 (4.88) proj_loss: -0.6173 (-0.6186) time: 0.4054 data: 0.0019 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:18:32] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.654 (6.661), Lt: 5.938 (5.946), Acc m&t: 3.00 4.71, Remain: 6:05:24, Finish: 2024-11-24 12:23 [11-24 22:18:32] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.654 (6.661), Lt: 5.938 (5.946), Acc m&t: 3.00 4.71, Remain: 6:05:33, Finish: 2024-11-24 12:24 [11-24 22:18:32] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.654 (6.661), Lt: 5.938 (5.946), Acc m&t: 3.00 4.71, Remain: 6:05:24, Finish: 2024-11-24 12:23 [11-24 22:18:32] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.654 (6.661), Lt: 5.938 (5.946), Acc m&t: 3.00 4.71, Remain: 6:05:27, Finish: 2024-11-24 12:23 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:09:44 tlr: 2.9e-05 tnm: 0.63 Lm: 6.565 (6.565) Lt: 5.863 (5.863) Accm: 3.26 (3.26) Acct: 5.04 (5.04) proj_loss: -0.6182 (-0.6182) time: 0.3499 data: 0.0004 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:09:46 tlr: 2.9e-05 tnm: 0.63 Lm: 6.534 (6.534) Lt: 5.784 (5.784) Accm: 3.40 (3.40) Acct: 5.20 (5.20) proj_loss: -0.5986 (-0.5986) time: 0.3513 data: 0.0003 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:09:46 tlr: 2.9e-05 tnm: 0.63 Lm: 6.682 (6.682) Lt: 6.015 (6.015) Accm: 2.92 (2.92) Acct: 4.24 (4.24) proj_loss: -0.5849 (-0.5849) time: 0.3513 data: 0.0004 [11-24 22:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:09:45 tlr: 2.9e-05 tnm: 0.63 Lm: 6.551 (6.551) Lt: 5.818 (5.818) Accm: 3.15 (3.15) Acct: 4.99 (4.99) proj_loss: -0.5915 (-0.5915) time: 0.3507 data: 0.0003 [11-24 22:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:07:41 tlr: 2.8e-05 tnm: 0.63 Lm: 6.555 (6.555) Lt: 5.841 (5.841) Accm: 3.26 (3.26) Acct: 5.02 (5.02) proj_loss: -0.5957 (-0.5957) time: 0.3600 data: 0.0003 [11-24 22:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:07:41 tlr: 2.8e-05 tnm: 0.63 Lm: 6.611 (6.611) Lt: 5.903 (5.903) Accm: 3.27 (3.27) Acct: 5.11 (5.11) proj_loss: -0.6195 (-0.6195) time: 0.3600 data: 0.0003 [11-24 22:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:07:41 tlr: 2.8e-05 tnm: 0.63 Lm: 6.655 (6.655) Lt: 5.962 (5.962) Accm: 2.87 (2.87) Acct: 4.41 (4.41) proj_loss: -0.6041 (-0.6041) time: 0.3600 data: 0.0002 [11-24 22:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:07:41 tlr: 2.8e-05 tnm: 0.63 Lm: 6.702 (6.702) Lt: 5.997 (5.997) Accm: 2.85 (2.85) Acct: 4.17 (4.17) proj_loss: -0.5908 (-0.5908) time: 0.3600 data: 0.0002 [11-24 22:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:05:14 tlr: 2.8e-05 tnm: 0.65 Lm: 6.710 (6.705) Lt: 6.015 (6.017) Accm: 2.78 (2.79) Acct: 4.10 (4.08) proj_loss: -0.5966 (-0.5994) time: 0.4086 data: 0.0003 [11-24 22:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:05:14 tlr: 2.8e-05 tnm: 0.65 Lm: 6.776 (6.698) Lt: 6.085 (6.003) Accm: 2.62 (2.79) Acct: 4.29 (4.37) proj_loss: -0.6016 (-0.6033) time: 0.4086 data: 0.0002 [11-24 22:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:05:14 tlr: 2.8e-05 tnm: 0.65 Lm: 6.559 (6.627) Lt: 5.865 (5.904) Accm: 3.15 (3.10) Acct: 4.99 (4.87) proj_loss: -0.5999 (-0.5992) time: 0.4086 data: 0.0003 [11-24 22:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:05:14 tlr: 2.8e-05 tnm: 0.65 Lm: 6.657 (6.683) Lt: 5.943 (6.000) Accm: 3.26 (3.05) Acct: 5.04 (4.80) proj_loss: -0.6182 (-0.6160) time: 0.4086 data: 0.0003 [11-24 22:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:02:36 tlr: 2.8e-05 tnm: 0.63 Lm: 6.686 (6.691) Lt: 5.956 (5.992) Accm: 3.18 (3.06) Acct: 4.86 (4.77) proj_loss: -0.6136 (-0.6082) time: 0.3620 data: 0.0003 [11-24 22:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:02:36 tlr: 2.8e-05 tnm: 0.63 Lm: 6.756 (6.708) Lt: 6.016 (5.989) Accm: 2.74 (2.81) Acct: 4.53 (4.47) proj_loss: -0.6001 (-0.5996) time: 0.3620 data: 0.0002 [11-24 22:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:02:36 tlr: 2.8e-05 tnm: 0.63 Lm: 6.696 (6.677) Lt: 5.997 (6.001) Accm: 2.85 (2.92) Acct: 4.17 (4.30) proj_loss: -0.6067 (-0.6040) time: 0.3620 data: 0.0003 [11-24 22:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:02:36 tlr: 2.8e-05 tnm: 0.63 Lm: 6.665 (6.668) Lt: 5.946 (5.947) Accm: 2.96 (2.95) Acct: 4.78 (4.61) proj_loss: -0.6006 (-0.5997) time: 0.3620 data: 0.0003 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.64 Lm: 6.631 (6.661) Lt: 5.870 (5.931) Accm: 3.15 (3.01) Acct: 4.99 (4.72) proj_loss: -0.6012 (-0.6011) time: 0.4057 data: 0.0016 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.64 Lm: 6.715 (6.699) Lt: 5.969 (6.011) Accm: 3.09 (3.00) Acct: 4.67 (4.67) proj_loss: -0.6182 (-0.6108) time: 0.4057 data: 0.0017 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.64 Lm: 6.735 (6.691) Lt: 5.947 (5.978) Accm: 2.87 (2.85) Acct: 4.77 (4.55) proj_loss: -0.5986 (-0.5991) time: 0.4057 data: 0.0017 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.64 Lm: 6.682 (6.668) Lt: 5.978 (5.983) Accm: 2.89 (2.92) Acct: 4.24 (4.35) proj_loss: -0.6162 (-0.6064) time: 0.4057 data: 0.0019 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:28:52] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.654 (6.669), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:56:42, Finish: 2024-11-24 12:25 [11-24 22:28:52] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.654 (6.669), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:56:42, Finish: 2024-11-24 12:25 [11-24 22:28:52] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.654 (6.669), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:56:46, Finish: 2024-11-24 12:25 [11-24 22:28:52] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.654 (6.669), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:56:39, Finish: 2024-11-24 12:25 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:10:02 tlr: 2.8e-05 tnm: 0.64 Lm: 6.626 (6.626) Lt: 5.914 (5.914) Accm: 2.98 (2.98) Acct: 4.99 (4.99) proj_loss: -0.6153 (-0.6153) time: 0.3612 data: 0.0003 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:10:03 tlr: 2.8e-05 tnm: 0.64 Lm: 6.851 (6.851) Lt: 6.155 (6.155) Accm: 2.38 (2.38) Acct: 3.48 (3.48) proj_loss: -0.6123 (-0.6123) time: 0.3617 data: 0.0004 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:10:03 tlr: 2.8e-05 tnm: 0.64 Lm: 6.632 (6.632) Lt: 5.921 (5.921) Accm: 2.78 (2.78) Acct: 4.22 (4.22) proj_loss: -0.6120 (-0.6120) time: 0.3616 data: 0.0004 [11-24 22:28:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:10:04 tlr: 2.8e-05 tnm: 0.64 Lm: 6.672 (6.672) Lt: 5.941 (5.941) Accm: 2.82 (2.82) Acct: 4.25 (4.25) proj_loss: -0.5878 (-0.5878) time: 0.3622 data: 0.0004 [11-24 22:31:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:07:33 tlr: 2.8e-05 tnm: 0.64 Lm: 6.757 (6.757) Lt: 6.051 (6.051) Accm: 2.71 (2.71) Acct: 4.19 (4.19) proj_loss: -0.6027 (-0.6027) time: 0.3618 data: 0.0003 [11-24 22:31:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:07:33 tlr: 2.8e-05 tnm: 0.64 Lm: 6.666 (6.666) Lt: 5.940 (5.940) Accm: 2.93 (2.93) Acct: 4.47 (4.47) proj_loss: -0.6005 (-0.6005) time: 0.3618 data: 0.0003 [11-24 22:31:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:07:33 tlr: 2.8e-05 tnm: 0.64 Lm: 6.671 (6.671) Lt: 5.977 (5.977) Accm: 2.71 (2.71) Acct: 4.31 (4.31) proj_loss: -0.6076 (-0.6076) time: 0.3618 data: 0.0003 [11-24 22:31:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:07:33 tlr: 2.8e-05 tnm: 0.64 Lm: 6.613 (6.613) Lt: 5.901 (5.901) Accm: 2.94 (2.94) Acct: 4.58 (4.58) proj_loss: -0.6172 (-0.6172) time: 0.3618 data: 0.0003 [11-24 22:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:05:04 tlr: 2.8e-05 tnm: 0.64 Lm: 6.632 (6.667) Lt: 5.921 (5.952) Accm: 2.78 (2.83) Acct: 4.41 (4.52) proj_loss: -0.6120 (-0.6108) time: 0.3638 data: 0.0002 [11-24 22:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:05:04 tlr: 2.8e-05 tnm: 0.64 Lm: 6.672 (6.675) Lt: 5.941 (5.942) Accm: 2.82 (2.88) Acct: 4.32 (4.42) proj_loss: -0.5889 (-0.5966) time: 0.3638 data: 0.0002 [11-24 22:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:05:04 tlr: 2.8e-05 tnm: 0.64 Lm: 6.716 (6.706) Lt: 6.040 (6.009) Accm: 2.44 (2.61) Acct: 3.63 (4.05) proj_loss: -0.5999 (-0.6037) time: 0.3638 data: 0.0003 [11-24 22:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:05:04 tlr: 2.8e-05 tnm: 0.64 Lm: 6.664 (6.705) Lt: 5.947 (5.988) Accm: 3.04 (2.89) Acct: 4.91 (4.51) proj_loss: -0.6082 (-0.6045) time: 0.3638 data: 0.0004 [11-24 22:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:02:31 tlr: 2.7e-05 tnm: 0.64 Lm: 6.676 (6.701) Lt: 5.959 (5.983) Accm: 2.99 (2.90) Acct: 4.74 (4.52) proj_loss: -0.6014 (-0.6021) time: 0.3612 data: 0.0003 [11-24 22:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:02:31 tlr: 2.7e-05 tnm: 0.64 Lm: 6.683 (6.692) Lt: 5.944 (5.959) Accm: 2.87 (2.89) Acct: 4.38 (4.42) proj_loss: -0.5943 (-0.5974) time: 0.3612 data: 0.0002 [11-24 22:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:02:31 tlr: 2.7e-05 tnm: 0.64 Lm: 6.702 (6.702) Lt: 5.987 (5.985) Accm: 2.74 (2.80) Acct: 4.36 (4.47) proj_loss: -0.6114 (-0.6108) time: 0.3612 data: 0.0003 [11-24 22:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:02:31 tlr: 2.7e-05 tnm: 0.64 Lm: 6.671 (6.685) Lt: 5.977 (5.984) Accm: 2.60 (2.65) Acct: 3.99 (4.12) proj_loss: -0.5981 (-0.6018) time: 0.3612 data: 0.0003 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.64 Lm: 6.666 (6.682) Lt: 5.926 (5.972) Accm: 2.76 (2.67) Acct: 4.29 (4.16) proj_loss: -0.5981 (-0.6011) time: 0.3646 data: 0.0020 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.64 Lm: 6.664 (6.693) Lt: 5.947 (5.972) Accm: 3.04 (2.93) Acct: 4.91 (4.65) proj_loss: -0.6027 (-0.6022) time: 0.3646 data: 0.0020 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.64 Lm: 6.672 (6.675) Lt: 5.941 (5.936) Accm: 2.93 (2.99) Acct: 4.44 (4.67) proj_loss: -0.5915 (-0.5962) time: 0.3646 data: 0.0018 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.64 Lm: 6.773 (6.724) Lt: 6.054 (6.010) Accm: 2.78 (2.80) Acct: 4.41 (4.50) proj_loss: -0.6107 (-0.6099) time: 0.3646 data: 0.0019 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:10:06 (0.364 s / it) [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:10:06 (0.364 s / it) [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:10:06 (0.364 s / it) [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:10:06 (0.364 s / it) [11-24 22:38:59] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.654 (6.667), Lt: 5.938 (5.952), Acc m&t: 3.00 4.71, Remain: 5:46:47, Finish: 2024-11-24 12:25 [11-24 22:38:59] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.654 (6.667), Lt: 5.938 (5.952), Acc m&t: 3.00 4.71, Remain: 5:46:55, Finish: 2024-11-24 12:25 [11-24 22:38:59] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.654 (6.667), Lt: 5.938 (5.952), Acc m&t: 3.00 4.71, Remain: 5:46:43, Finish: 2024-11-24 12:25 [11-24 22:38:59] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.654 (6.667), Lt: 5.938 (5.952), Acc m&t: 3.00 4.71, Remain: 5:46:36, Finish: 2024-11-24 12:25 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:09:58 tlr: 2.7e-05 tnm: 0.64 Lm: 6.602 (6.602) Lt: 5.906 (5.906) Accm: 3.13 (3.13) Acct: 4.84 (4.84) proj_loss: -0.6195 (-0.6195) time: 0.3587 data: 0.0003 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:09:59 tlr: 2.7e-05 tnm: 0.64 Lm: 6.539 (6.539) Lt: 5.765 (5.765) Accm: 3.21 (3.21) Acct: 5.41 (5.41) proj_loss: -0.5956 (-0.5956) time: 0.3592 data: 0.0002 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:10:24 tlr: 2.7e-05 tnm: 0.64 Lm: 6.877 (6.877) Lt: 6.195 (6.195) Accm: 2.43 (2.43) Acct: 3.68 (3.68) proj_loss: -0.6164 (-0.6164) time: 0.3740 data: 0.0004 [11-24 22:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:09:59 tlr: 2.7e-05 tnm: 0.64 Lm: 6.618 (6.618) Lt: 5.940 (5.940) Accm: 3.24 (3.24) Acct: 4.96 (4.96) proj_loss: -0.6180 (-0.6180) time: 0.3591 data: 0.0004 [11-24 22:41:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:07:37 tlr: 2.7e-05 tnm: 0.63 Lm: 6.689 (6.689) Lt: 5.993 (5.993) Accm: 2.97 (2.97) Acct: 4.67 (4.67) proj_loss: -0.6067 (-0.6067) time: 0.3624 data: 0.0002 [11-24 22:41:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:07:37 tlr: 2.7e-05 tnm: 0.63 Lm: 6.630 (6.630) Lt: 5.934 (5.934) Accm: 3.02 (3.02) Acct: 4.75 (4.75) proj_loss: -0.6100 (-0.6100) time: 0.3624 data: 0.0003 [11-24 22:41:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:07:37 tlr: 2.7e-05 tnm: 0.63 Lm: 6.594 (6.594) Lt: 5.851 (5.851) Accm: 3.13 (3.13) Acct: 5.13 (5.13) proj_loss: -0.5888 (-0.5888) time: 0.3624 data: 0.0002 [11-24 22:41:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:07:37 tlr: 2.7e-05 tnm: 0.63 Lm: 6.736 (6.736) Lt: 6.056 (6.056) Accm: 2.79 (2.79) Acct: 4.19 (4.19) proj_loss: -0.6131 (-0.6131) time: 0.3624 data: 0.0002 [11-24 22:44:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:05:06 tlr: 2.7e-05 tnm: 0.65 Lm: 6.720 (6.731) Lt: 5.998 (6.036) Accm: 3.02 (2.86) Acct: 4.70 (4.38) proj_loss: -0.6097 (-0.6078) time: 0.3614 data: 0.0003 [11-24 22:44:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:05:06 tlr: 2.7e-05 tnm: 0.65 Lm: 6.658 (6.646) Lt: 5.906 (5.923) Accm: 3.08 (3.04) Acct: 4.84 (4.91) proj_loss: -0.6050 (-0.6083) time: 0.3614 data: 0.0003 [11-24 22:44:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:05:06 tlr: 2.7e-05 tnm: 0.65 Lm: 6.652 (6.676) Lt: 5.940 (5.955) Accm: 3.05 (3.00) Acct: 4.96 (4.80) proj_loss: -0.5969 (-0.6035) time: 0.3614 data: 0.0003 [11-24 22:44:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:05:06 tlr: 2.7e-05 tnm: 0.65 Lm: 6.648 (6.644) Lt: 5.937 (5.922) Accm: 3.05 (3.01) Acct: 4.86 (4.84) proj_loss: -0.5956 (-0.5914) time: 0.3614 data: 0.0002 [11-24 22:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:02:34 tlr: 2.7e-05 tnm: 0.64 Lm: 6.632 (6.637) Lt: 5.915 (5.915) Accm: 3.06 (3.02) Acct: 4.97 (4.90) proj_loss: -0.5961 (-0.6002) time: 0.3636 data: 0.0002 [11-24 22:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:02:34 tlr: 2.7e-05 tnm: 0.64 Lm: 6.630 (6.617) Lt: 5.904 (5.889) Accm: 3.11 (3.10) Acct: 4.99 (4.97) proj_loss: -0.6079 (-0.6090) time: 0.3636 data: 0.0003 [11-24 22:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:02:34 tlr: 2.7e-05 tnm: 0.64 Lm: 6.635 (6.650) Lt: 5.910 (5.922) Accm: 3.14 (3.06) Acct: 5.00 (4.92) proj_loss: -0.6051 (-0.6059) time: 0.3636 data: 0.0003 [11-24 22:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:02:34 tlr: 2.7e-05 tnm: 0.64 Lm: 6.662 (6.699) Lt: 5.957 (6.003) Accm: 3.08 (3.00) Acct: 4.73 (4.63) proj_loss: -0.6063 (-0.6065) time: 0.3636 data: 0.0003 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.66 Lm: 6.602 (6.591) Lt: 5.901 (5.861) Accm: 3.13 (3.18) Acct: 5.15 (5.08) proj_loss: -0.6109 (-0.6155) time: 0.3655 data: 0.0017 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.66 Lm: 6.606 (6.681) Lt: 5.917 (5.982) Accm: 3.15 (3.05) Acct: 4.77 (4.72) proj_loss: -0.6028 (-0.6034) time: 0.3655 data: 0.0019 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.66 Lm: 6.618 (6.633) Lt: 5.893 (5.904) Accm: 3.07 (3.07) Acct: 5.08 (4.95) proj_loss: -0.5966 (-0.6010) time: 0.3655 data: 0.0018 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.66 Lm: 6.618 (6.642) Lt: 5.880 (5.911) Accm: 3.05 (3.05) Acct: 4.96 (4.86) proj_loss: -0.6078 (-0.6063) time: 0.3655 data: 0.0020 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.654 (6.664), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:35:28, Finish: 2024-11-24 12:24 [11-24 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.654 (6.664), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:35:38, Finish: 2024-11-24 12:24 [11-24 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.654 (6.664), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:35:34, Finish: 2024-11-24 12:24 [11-24 22:49:18] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.654 (6.664), Lt: 5.938 (5.953), Acc m&t: 3.00 4.71, Remain: 5:35:27, Finish: 2024-11-24 12:24 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:09:50 tlr: 2.6e-05 tnm: 0.67 Lm: 6.641 (6.641) Lt: 5.868 (5.868) Accm: 2.96 (2.96) Acct: 4.79 (4.79) proj_loss: -0.5974 (-0.5974) time: 0.3539 data: 0.0003 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:09:52 tlr: 2.6e-05 tnm: 0.67 Lm: 6.564 (6.564) Lt: 5.870 (5.870) Accm: 3.32 (3.32) Acct: 5.17 (5.17) proj_loss: -0.5850 (-0.5850) time: 0.3552 data: 0.0005 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:09:51 tlr: 2.6e-05 tnm: 0.67 Lm: 6.661 (6.661) Lt: 5.931 (5.931) Accm: 3.09 (3.09) Acct: 4.67 (4.67) proj_loss: -0.6205 (-0.6205) time: 0.3542 data: 0.0004 [11-24 22:49:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:09:53 tlr: 2.6e-05 tnm: 0.67 Lm: 6.653 (6.653) Lt: 5.940 (5.940) Accm: 3.04 (3.04) Acct: 4.58 (4.58) proj_loss: -0.6202 (-0.6202) time: 0.3555 data: 0.0004 [11-24 22:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:07:52 tlr: 2.6e-05 tnm: 0.63 Lm: 6.632 (6.632) Lt: 5.939 (5.939) Accm: 3.05 (3.05) Acct: 4.73 (4.73) proj_loss: -0.6173 (-0.6173) time: 0.4055 data: 0.0003 [11-24 22:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:07:52 tlr: 2.6e-05 tnm: 0.63 Lm: 6.528 (6.528) Lt: 5.783 (5.783) Accm: 3.39 (3.39) Acct: 5.39 (5.39) proj_loss: -0.6012 (-0.6012) time: 0.4055 data: 0.0003 [11-24 22:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:07:52 tlr: 2.6e-05 tnm: 0.63 Lm: 6.580 (6.580) Lt: 5.836 (5.836) Accm: 3.16 (3.16) Acct: 4.91 (4.91) proj_loss: -0.6050 (-0.6050) time: 0.4055 data: 0.0003 [11-24 22:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:07:52 tlr: 2.6e-05 tnm: 0.63 Lm: 6.640 (6.640) Lt: 5.899 (5.899) Accm: 3.05 (3.05) Acct: 4.63 (4.63) proj_loss: -0.6203 (-0.6203) time: 0.4055 data: 0.0003 [11-24 22:54:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:05:14 tlr: 2.6e-05 tnm: 0.62 Lm: 6.620 (6.602) Lt: 5.867 (5.863) Accm: 3.09 (3.07) Acct: 4.67 (4.69) proj_loss: -0.6202 (-0.6110) time: 0.3660 data: 0.0003 [11-24 22:54:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:05:14 tlr: 2.6e-05 tnm: 0.62 Lm: 6.549 (6.569) Lt: 5.868 (5.858) Accm: 3.31 (3.21) Acct: 5.03 (5.06) proj_loss: -0.6126 (-0.6117) time: 0.3660 data: 0.0003 [11-24 22:54:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:05:14 tlr: 2.6e-05 tnm: 0.62 Lm: 6.564 (6.583) Lt: 5.870 (5.869) Accm: 3.32 (3.16) Acct: 5.17 (4.95) proj_loss: -0.5943 (-0.5989) time: 0.3660 data: 0.0003 [11-24 22:54:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:05:14 tlr: 2.6e-05 tnm: 0.62 Lm: 6.619 (6.628) Lt: 5.938 (5.936) Accm: 3.05 (3.05) Acct: 4.63 (4.69) proj_loss: -0.6202 (-0.6233) time: 0.3659 data: 0.0003 [11-24 22:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:02:36 tlr: 2.6e-05 tnm: 0.64 Lm: 6.628 (6.630) Lt: 5.939 (5.949) Accm: 3.06 (3.08) Acct: 4.73 (4.73) proj_loss: -0.6173 (-0.6207) time: 0.3643 data: 0.0003 [11-24 22:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:02:36 tlr: 2.6e-05 tnm: 0.64 Lm: 6.545 (6.562) Lt: 5.836 (5.843) Accm: 3.21 (3.18) Acct: 4.91 (4.97) proj_loss: -0.6066 (-0.6089) time: 0.3643 data: 0.0003 [11-24 22:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:02:36 tlr: 2.6e-05 tnm: 0.64 Lm: 6.628 (6.638) Lt: 5.956 (5.928) Accm: 3.01 (2.98) Acct: 4.61 (4.66) proj_loss: -0.6030 (-0.6021) time: 0.3643 data: 0.0003 [11-24 22:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:02:36 tlr: 2.6e-05 tnm: 0.64 Lm: 6.640 (6.637) Lt: 5.899 (5.919) Accm: 3.05 (3.01) Acct: 4.63 (4.61) proj_loss: -0.6063 (-0.6053) time: 0.3643 data: 0.0003 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.64 Lm: 6.661 (6.644) Lt: 5.931 (5.926) Accm: 3.01 (2.95) Acct: 4.60 (4.59) proj_loss: -0.6043 (-0.6051) time: 0.3636 data: 0.0023 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.64 Lm: 6.549 (6.579) Lt: 5.868 (5.859) Accm: 3.13 (3.17) Acct: 4.79 (4.92) proj_loss: -0.6126 (-0.6110) time: 0.3636 data: 0.0021 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.64 Lm: 6.637 (6.641) Lt: 5.938 (5.945) Accm: 3.05 (3.01) Acct: 4.63 (4.64) proj_loss: -0.6144 (-0.6152) time: 0.3636 data: 0.0017 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.64 Lm: 6.671 (6.645) Lt: 5.959 (5.934) Accm: 3.09 (3.00) Acct: 4.75 (4.68) proj_loss: -0.6116 (-0.6055) time: 0.3636 data: 0.0020 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:10:19 (0.371 s / it) [11-24 22:59:38] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.654 (6.657), Lt: 5.938 (5.942), Acc m&t: 3.00 4.71, Remain: 5:24:27, Finish: 2024-11-24 12:24 [11-24 22:59:38] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.654 (6.657), Lt: 5.938 (5.942), Acc m&t: 3.00 4.71, Remain: 5:24:25, Finish: 2024-11-24 12:24 [11-24 22:59:38] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.654 (6.657), Lt: 5.938 (5.942), Acc m&t: 3.00 4.71, Remain: 5:24:28, Finish: 2024-11-24 12:24 [11-24 22:59:38] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.654 (6.657), Lt: 5.938 (5.942), Acc m&t: 3.00 4.71, Remain: 5:24:31, Finish: 2024-11-24 12:24 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:09:42 tlr: 2.6e-05 tnm: 0.65 Lm: 6.533 (6.533) Lt: 5.745 (5.745) Accm: 3.42 (3.42) Acct: 5.65 (5.65) proj_loss: -0.5945 (-0.5945) time: 0.3493 data: 0.0005 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:09:43 tlr: 2.6e-05 tnm: 0.65 Lm: 6.504 (6.504) Lt: 5.748 (5.748) Accm: 3.48 (3.48) Acct: 5.75 (5.75) proj_loss: -0.6102 (-0.6102) time: 0.3498 data: 0.0003 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:09:42 tlr: 2.6e-05 tnm: 0.65 Lm: 6.583 (6.583) Lt: 5.831 (5.831) Accm: 2.91 (2.91) Acct: 4.61 (4.61) proj_loss: -0.6132 (-0.6132) time: 0.3492 data: 0.0005 [11-24 22:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:09:39 tlr: 2.6e-05 tnm: 0.65 Lm: 6.673 (6.673) Lt: 5.922 (5.922) Accm: 2.88 (2.88) Acct: 4.80 (4.80) proj_loss: -0.6077 (-0.6077) time: 0.3472 data: 0.0004 [11-24 23:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:07:33 tlr: 2.6e-05 tnm: 0.63 Lm: 6.582 (6.582) Lt: 5.838 (5.838) Accm: 3.27 (3.27) Acct: 5.13 (5.13) proj_loss: -0.6027 (-0.6027) time: 0.3644 data: 0.0003 [11-24 23:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:07:33 tlr: 2.6e-05 tnm: 0.63 Lm: 6.587 (6.587) Lt: 5.864 (5.864) Accm: 3.12 (3.12) Acct: 5.04 (5.04) proj_loss: -0.6038 (-0.6038) time: 0.3644 data: 0.0003 [11-24 23:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:07:33 tlr: 2.6e-05 tnm: 0.63 Lm: 6.603 (6.603) Lt: 5.863 (5.863) Accm: 3.18 (3.18) Acct: 5.17 (5.17) proj_loss: -0.5960 (-0.5960) time: 0.3644 data: 0.0003 [11-24 23:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:07:33 tlr: 2.6e-05 tnm: 0.63 Lm: 6.589 (6.589) Lt: 5.868 (5.868) Accm: 2.98 (2.98) Acct: 4.69 (4.69) proj_loss: -0.6122 (-0.6122) time: 0.3644 data: 0.0003 [11-24 23:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:05:02 tlr: 2.5e-05 tnm: 0.64 Lm: 6.595 (6.604) Lt: 5.904 (5.899) Accm: 3.05 (3.04) Acct: 4.70 (4.69) proj_loss: -0.6132 (-0.6209) time: 0.3609 data: 0.0003 [11-24 23:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:05:02 tlr: 2.5e-05 tnm: 0.64 Lm: 6.633 (6.602) Lt: 5.937 (5.888) Accm: 2.88 (3.04) Acct: 4.48 (4.85) proj_loss: -0.6131 (-0.6079) time: 0.3609 data: 0.0003 [11-24 23:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:05:02 tlr: 2.5e-05 tnm: 0.64 Lm: 6.673 (6.647) Lt: 5.922 (5.904) Accm: 2.88 (3.09) Acct: 4.80 (4.82) proj_loss: -0.6015 (-0.6023) time: 0.3609 data: 0.0003 [11-24 23:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:05:02 tlr: 2.5e-05 tnm: 0.64 Lm: 6.504 (6.541) Lt: 5.748 (5.792) Accm: 3.47 (3.28) Acct: 5.46 (5.27) proj_loss: -0.5997 (-0.5972) time: 0.3609 data: 0.0002 [11-24 23:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:02:31 tlr: 2.5e-05 tnm: 0.64 Lm: 6.595 (6.577) Lt: 5.863 (5.840) Accm: 3.17 (3.15) Acct: 5.03 (5.09) proj_loss: -0.6050 (-0.6030) time: 0.3609 data: 0.0003 [11-24 23:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:02:31 tlr: 2.5e-05 tnm: 0.64 Lm: 6.637 (6.629) Lt: 5.960 (5.929) Accm: 2.96 (3.04) Acct: 4.61 (4.82) proj_loss: -0.6106 (-0.6079) time: 0.3609 data: 0.0003 [11-24 23:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:02:31 tlr: 2.5e-05 tnm: 0.64 Lm: 6.589 (6.588) Lt: 5.868 (5.877) Accm: 3.10 (3.07) Acct: 4.73 (4.83) proj_loss: -0.6124 (-0.6186) time: 0.3609 data: 0.0003 [11-24 23:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:02:31 tlr: 2.5e-05 tnm: 0.64 Lm: 6.725 (6.680) Lt: 5.980 (5.959) Accm: 2.81 (2.98) Acct: 4.50 (4.66) proj_loss: -0.6046 (-0.6075) time: 0.3609 data: 0.0003 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.64 Lm: 6.673 (6.664) Lt: 5.922 (5.933) Accm: 2.88 (3.05) Acct: 4.80 (4.76) proj_loss: -0.6048 (-0.6070) time: 0.3627 data: 0.0018 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:10:05 (0.363 s / it) [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.64 Lm: 6.641 (6.665) Lt: 5.983 (5.958) Accm: 3.04 (3.06) Acct: 4.73 (4.80) proj_loss: -0.6081 (-0.6049) time: 0.3627 data: 0.0032 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.64 Lm: 6.595 (6.608) Lt: 5.904 (5.888) Accm: 3.05 (3.05) Acct: 4.77 (4.86) proj_loss: -0.6116 (-0.6138) time: 0.3627 data: 0.0015 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.64 Lm: 6.670 (6.596) Lt: 5.963 (5.865) Accm: 3.04 (3.13) Acct: 4.82 (5.03) proj_loss: -0.6004 (-0.6025) time: 0.3627 data: 0.0021 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:10:05 (0.363 s / it) [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:10:05 (0.363 s / it) [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:10:05 (0.363 s / it) [11-24 23:09:44] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.647 (6.647), Lt: 5.931 (5.931), Acc m&t: 3.03 4.75, Remain: 5:13:57, Finish: 2024-11-24 12:23 [11-24 23:09:44] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.647 (6.647), Lt: 5.931 (5.931), Acc m&t: 3.03 4.75, Remain: 5:14:33, Finish: 2024-11-24 12:24 [11-24 23:09:44] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.647 (6.647), Lt: 5.931 (5.931), Acc m&t: 3.03 4.75, Remain: 5:14:07, Finish: 2024-11-24 12:23 [11-24 23:09:44] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.647 (6.647), Lt: 5.931 (5.931), Acc m&t: 3.03 4.75, Remain: 5:14:04, Finish: 2024-11-24 12:23 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:09:42 tlr: 2.5e-05 tnm: 0.65 Lm: 6.670 (6.670) Lt: 5.946 (5.946) Accm: 3.12 (3.12) Acct: 5.01 (5.01) proj_loss: -0.5979 (-0.5979) time: 0.3492 data: 0.0004 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:09:42 tlr: 2.5e-05 tnm: 0.65 Lm: 6.638 (6.638) Lt: 5.924 (5.924) Accm: 3.14 (3.14) Acct: 4.91 (4.91) proj_loss: -0.6092 (-0.6092) time: 0.3489 data: 0.0004 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:09:44 tlr: 2.5e-05 tnm: 0.65 Lm: 6.608 (6.608) Lt: 5.931 (5.931) Accm: 3.01 (3.01) Acct: 4.79 (4.79) proj_loss: -0.6345 (-0.6345) time: 0.3504 data: 0.0004 [11-24 23:09:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:09:48 tlr: 2.5e-05 tnm: 0.65 Lm: 6.698 (6.698) Lt: 6.005 (6.005) Accm: 3.02 (3.02) Acct: 4.82 (4.82) proj_loss: -0.6249 (-0.6249) time: 0.3525 data: 0.0004 [11-24 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:07:42 tlr: 2.5e-05 tnm: 0.64 Lm: 6.679 (6.679) Lt: 5.939 (5.939) Accm: 3.04 (3.04) Acct: 4.90 (4.90) proj_loss: -0.6064 (-0.6064) time: 0.3604 data: 0.0003 [11-24 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:07:42 tlr: 2.5e-05 tnm: 0.64 Lm: 6.576 (6.576) Lt: 5.845 (5.845) Accm: 3.15 (3.15) Acct: 4.91 (4.91) proj_loss: -0.6050 (-0.6050) time: 0.3604 data: 0.0003 [11-24 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:07:42 tlr: 2.5e-05 tnm: 0.64 Lm: 6.667 (6.667) Lt: 5.939 (5.939) Accm: 3.04 (3.04) Acct: 4.94 (4.94) proj_loss: -0.5963 (-0.5963) time: 0.3604 data: 0.0002 [11-24 23:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:07:42 tlr: 2.5e-05 tnm: 0.64 Lm: 6.591 (6.591) Lt: 5.906 (5.906) Accm: 3.18 (3.18) Acct: 4.86 (4.86) proj_loss: -0.6250 (-0.6250) time: 0.3604 data: 0.0004 [11-24 23:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:05:08 tlr: 2.5e-05 tnm: 0.64 Lm: 6.608 (6.644) Lt: 5.931 (5.969) Accm: 3.01 (3.08) Acct: 4.79 (4.68) proj_loss: -0.6330 (-0.6277) time: 0.3633 data: 0.0003 [11-24 23:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:05:08 tlr: 2.5e-05 tnm: 0.64 Lm: 6.698 (6.716) Lt: 6.005 (5.991) Accm: 3.02 (2.84) Acct: 4.82 (4.55) proj_loss: -0.6031 (-0.6053) time: 0.3633 data: 0.0003 [11-24 23:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:05:08 tlr: 2.5e-05 tnm: 0.64 Lm: 6.574 (6.575) Lt: 5.820 (5.837) Accm: 3.15 (3.25) Acct: 4.91 (5.04) proj_loss: -0.6008 (-0.6035) time: 0.3633 data: 0.0003 [11-24 23:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:05:08 tlr: 2.5e-05 tnm: 0.64 Lm: 6.670 (6.673) Lt: 5.946 (5.954) Accm: 3.12 (3.07) Acct: 5.01 (4.97) proj_loss: -0.5979 (-0.5983) time: 0.3633 data: 0.0003 [11-24 23:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.66 Lm: 6.678 (6.677) Lt: 5.964 (5.963) Accm: 3.04 (3.04) Acct: 4.94 (4.93) proj_loss: -0.6000 (-0.5997) time: 0.4026 data: 0.0003 [11-24 23:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.66 Lm: 6.679 (6.675) Lt: 6.004 (5.996) Accm: 2.94 (2.97) Acct: 4.55 (4.54) proj_loss: -0.6242 (-0.6194) time: 0.4026 data: 0.0003 [11-24 23:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.66 Lm: 6.686 (6.705) Lt: 5.960 (5.972) Accm: 2.94 (2.84) Acct: 4.64 (4.52) proj_loss: -0.5995 (-0.6030) time: 0.4026 data: 0.0003 [11-24 23:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.66 Lm: 6.590 (6.583) Lt: 5.815 (5.830) Accm: 3.30 (3.31) Acct: 5.11 (5.14) proj_loss: -0.6037 (-0.6042) time: 0.4026 data: 0.0003 [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.606 (6.603) Lt: 5.820 (5.856) Accm: 3.15 (3.19) Acct: 4.91 (4.93) proj_loss: -0.6008 (-0.6024) time: 0.3667 data: 0.0019 [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:10:18 (0.371 s / it) [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.608 (6.646) Lt: 5.931 (5.951) Accm: 3.01 (3.01) Acct: 4.79 (4.66) proj_loss: -0.6155 (-0.6160) time: 0.3667 data: 0.0016 [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.670 (6.645) Lt: 5.946 (5.928) Accm: 3.12 (3.07) Acct: 4.87 (4.91) proj_loss: -0.6022 (-0.6007) time: 0.3667 data: 0.0019 [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.675 (6.699) Lt: 5.915 (5.957) Accm: 3.02 (2.88) Acct: 4.82 (4.60) proj_loss: -0.5960 (-0.5990) time: 0.3667 data: 0.0021 [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:10:18 (0.371 s / it) [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:10:18 (0.371 s / it) [11-24 23:20:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:10:18 (0.371 s / it) [11-24 23:22:24] (home/user/VAR/trainer.py, line 114)=> FID: 3.55292428413145 [11-24 23:22:24] (/home/user/VAR/train.py , line 259)=> [*] [ep319] (val 50000) Lm: 6.6568, Lt: 5.9364, Acc m&t: 3.01 4.72, Val cost: 140.97s [11-24 23:22:24] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-24 23:22:39] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.647 (6.657), Lt: 5.931 (5.936), Acc m&t: 3.03 4.75, Remain: 5:04:45, Finish: 2024-11-24 12:24 [11-24 23:22:39] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.647 (6.657), Lt: 5.931 (5.936), Acc m&t: 3.03 4.75, Remain: 5:04:42, Finish: 2024-11-24 12:24 [11-24 23:22:39] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.647 (6.657), Lt: 5.931 (5.936), Acc m&t: 3.03 4.75, Remain: 5:04:58, Finish: 2024-11-24 12:25 [11-24 23:22:39] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.647 (6.657), Lt: 5.931 (5.936), Acc m&t: 3.03 4.75, Remain: 5:04:43, Finish: 2024-11-24 12:24 [11-24 23:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:10:14 tlr: 2.4e-05 tnm: 0.64 Lm: 6.704 (6.704) Lt: 5.993 (5.993) Accm: 2.77 (2.77) Acct: 4.51 (4.51) proj_loss: -0.6171 (-0.6171) time: 0.3682 data: 0.0004 [11-24 23:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:10:15 tlr: 2.4e-05 tnm: 0.64 Lm: 6.570 (6.570) Lt: 5.768 (5.768) Accm: 3.13 (3.13) Acct: 4.79 (4.79) proj_loss: -0.5902 (-0.5902) time: 0.3690 data: 0.0003 [11-24 23:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:10:15 tlr: 2.4e-05 tnm: 0.64 Lm: 6.751 (6.751) Lt: 6.082 (6.082) Accm: 2.53 (2.53) Acct: 3.87 (3.87) proj_loss: -0.6059 (-0.6059) time: 0.3686 data: 0.0004 [11-24 23:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:10:27 tlr: 2.4e-05 tnm: 0.64 Lm: 6.496 (6.496) Lt: 5.784 (5.784) Accm: 3.74 (3.74) Acct: 5.72 (5.72) proj_loss: -0.6288 (-0.6288) time: 0.3758 data: 0.0004 [11-24 23:25:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:08:01 tlr: 2.4e-05 tnm: 0.64 Lm: 6.550 (6.550) Lt: 5.829 (5.829) Accm: 3.37 (3.37) Acct: 5.23 (5.23) proj_loss: -0.6160 (-0.6160) time: 0.4024 data: 0.0003 [11-24 23:25:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:08:01 tlr: 2.4e-05 tnm: 0.64 Lm: 6.675 (6.675) Lt: 5.963 (5.963) Accm: 2.93 (2.93) Acct: 4.44 (4.44) proj_loss: -0.6021 (-0.6021) time: 0.4024 data: 0.0003 [11-24 23:25:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:08:01 tlr: 2.4e-05 tnm: 0.64 Lm: 6.588 (6.588) Lt: 5.859 (5.859) Accm: 3.03 (3.03) Acct: 4.79 (4.79) proj_loss: -0.6178 (-0.6178) time: 0.4024 data: 0.0003 [11-24 23:25:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:08:01 tlr: 2.4e-05 tnm: 0.64 Lm: 6.594 (6.594) Lt: 5.837 (5.837) Accm: 3.13 (3.13) Acct: 4.81 (4.81) proj_loss: -0.5988 (-0.5988) time: 0.4024 data: 0.0002 [11-24 23:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:05:14 tlr: 2.4e-05 tnm: 0.65 Lm: 6.619 (6.673) Lt: 5.907 (5.939) Accm: 3.13 (2.96) Acct: 4.79 (4.66) proj_loss: -0.6074 (-0.6051) time: 0.3631 data: 0.0002 [11-24 23:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:05:14 tlr: 2.4e-05 tnm: 0.65 Lm: 6.627 (6.601) Lt: 5.906 (5.874) Accm: 2.98 (3.01) Acct: 4.55 (4.71) proj_loss: -0.6171 (-0.6148) time: 0.3631 data: 0.0003 [11-24 23:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:05:14 tlr: 2.4e-05 tnm: 0.65 Lm: 6.578 (6.559) Lt: 5.857 (5.838) Accm: 3.21 (3.31) Acct: 4.75 (5.04) proj_loss: -0.6188 (-0.6169) time: 0.3631 data: 0.0003 [11-24 23:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:05:14 tlr: 2.4e-05 tnm: 0.65 Lm: 6.598 (6.637) Lt: 5.846 (5.924) Accm: 3.33 (3.08) Acct: 5.01 (4.65) proj_loss: -0.6059 (-0.6079) time: 0.3631 data: 0.0003 [11-24 23:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.65 Lm: 6.675 (6.681) Lt: 5.964 (5.966) Accm: 3.06 (3.01) Acct: 4.70 (4.59) proj_loss: -0.6069 (-0.6079) time: 0.3639 data: 0.0003 [11-24 23:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.65 Lm: 6.636 (6.612) Lt: 5.938 (5.898) Accm: 3.09 (3.06) Acct: 4.69 (4.74) proj_loss: -0.6178 (-0.6183) time: 0.3639 data: 0.0003 [11-24 23:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.65 Lm: 6.594 (6.632) Lt: 5.837 (5.895) Accm: 3.13 (3.10) Acct: 4.81 (4.92) proj_loss: -0.6098 (-0.6069) time: 0.3639 data: 0.0002 [11-24 23:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:02:35 tlr: 2.4e-05 tnm: 0.65 Lm: 6.591 (6.582) Lt: 5.865 (5.868) Accm: 3.10 (3.19) Acct: 4.71 (4.85) proj_loss: -0.6122 (-0.6141) time: 0.3639 data: 0.0003 [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.604 (6.614) Lt: 5.873 (5.904) Accm: 2.99 (3.14) Acct: 4.67 (4.77) proj_loss: -0.6091 (-0.6131) time: 0.3653 data: 0.0016 [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:10:19 (0.371 s / it) [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.644 (6.620) Lt: 5.964 (5.912) Accm: 2.98 (3.03) Acct: 4.55 (4.69) proj_loss: -0.6171 (-0.6142) time: 0.3654 data: 0.0017 [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.751 (6.697) Lt: 6.082 (5.996) Accm: 2.80 (2.89) Acct: 4.39 (4.40) proj_loss: -0.6079 (-0.6093) time: 0.3653 data: 0.0017 [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.64 Lm: 6.578 (6.621) Lt: 5.846 (5.886) Accm: 3.13 (3.10) Acct: 4.79 (4.85) proj_loss: -0.6122 (-0.6093) time: 0.3654 data: 0.0019 [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:10:19 (0.371 s / it) [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:10:19 (0.371 s / it) [11-24 23:32:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:10:19 (0.371 s / it) [11-24 23:32:58] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.647 (6.664), Lt: 5.931 (5.948), Acc m&t: 3.03 4.75, Remain: 4:56:27, Finish: 2024-11-24 12:29 [11-24 23:32:58] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.647 (6.664), Lt: 5.931 (5.948), Acc m&t: 3.03 4.75, Remain: 4:56:23, Finish: 2024-11-24 12:29 [11-24 23:32:58] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.647 (6.664), Lt: 5.931 (5.948), Acc m&t: 3.03 4.75, Remain: 4:56:22, Finish: 2024-11-24 12:29 [11-24 23:32:58] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.647 (6.664), Lt: 5.931 (5.948), Acc m&t: 3.03 4.75, Remain: 4:56:21, Finish: 2024-11-24 12:29 [11-24 23:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:10:08 tlr: 2.4e-05 tnm: 0.64 Lm: 6.590 (6.590) Lt: 5.845 (5.845) Accm: 3.11 (3.11) Acct: 4.89 (4.89) proj_loss: -0.5911 (-0.5911) time: 0.3645 data: 0.0003 [11-24 23:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:10:07 tlr: 2.4e-05 tnm: 0.64 Lm: 6.593 (6.593) Lt: 5.907 (5.907) Accm: 3.02 (3.02) Acct: 4.61 (4.61) proj_loss: -0.6303 (-0.6303) time: 0.3637 data: 0.0004 [11-24 23:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:10:21 tlr: 2.4e-05 tnm: 0.64 Lm: 6.514 (6.514) Lt: 5.833 (5.833) Accm: 3.35 (3.35) Acct: 5.03 (5.03) proj_loss: -0.6193 (-0.6193) time: 0.3722 data: 0.0004 [11-24 23:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:10:08 tlr: 2.4e-05 tnm: 0.64 Lm: 6.625 (6.625) Lt: 5.853 (5.853) Accm: 3.04 (3.04) Acct: 4.84 (4.84) proj_loss: -0.6161 (-0.6161) time: 0.3647 data: 0.0004 [11-24 23:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:07:34 tlr: 2.3e-05 tnm: 0.65 Lm: 6.594 (6.594) Lt: 5.837 (5.837) Accm: 3.16 (3.16) Acct: 5.02 (5.02) proj_loss: -0.6073 (-0.6073) time: 0.3623 data: 0.0003 [11-24 23:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:07:34 tlr: 2.3e-05 tnm: 0.65 Lm: 6.644 (6.644) Lt: 5.888 (5.888) Accm: 2.98 (2.98) Acct: 4.92 (4.92) proj_loss: -0.5969 (-0.5969) time: 0.3623 data: 0.0003 [11-24 23:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:07:34 tlr: 2.3e-05 tnm: 0.65 Lm: 6.655 (6.655) Lt: 5.963 (5.963) Accm: 2.95 (2.95) Acct: 4.48 (4.48) proj_loss: -0.6133 (-0.6133) time: 0.3623 data: 0.0003 [11-24 23:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:07:34 tlr: 2.3e-05 tnm: 0.65 Lm: 6.660 (6.660) Lt: 5.958 (5.958) Accm: 2.92 (2.92) Acct: 4.55 (4.55) proj_loss: -0.6102 (-0.6102) time: 0.3623 data: 0.0002 [11-24 23:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:05:03 tlr: 2.3e-05 tnm: 0.65 Lm: 6.606 (6.642) Lt: 5.907 (5.936) Accm: 2.94 (2.93) Acct: 4.49 (4.53) proj_loss: -0.6178 (-0.6127) time: 0.3659 data: 0.0003 [11-24 23:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:05:03 tlr: 2.3e-05 tnm: 0.65 Lm: 6.583 (6.631) Lt: 5.955 (5.960) Accm: 3.10 (3.00) Acct: 4.48 (4.48) proj_loss: -0.6181 (-0.6149) time: 0.3659 data: 0.0003 [11-24 23:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:05:03 tlr: 2.3e-05 tnm: 0.65 Lm: 6.625 (6.646) Lt: 5.853 (5.927) Accm: 3.04 (3.05) Acct: 4.84 (4.73) proj_loss: -0.6160 (-0.6102) time: 0.3659 data: 0.0002 [11-24 23:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:05:03 tlr: 2.3e-05 tnm: 0.65 Lm: 6.698 (6.672) Lt: 5.931 (5.933) Accm: 2.85 (2.94) Acct: 4.89 (4.80) proj_loss: -0.6028 (-0.6012) time: 0.3660 data: 0.0003 [11-24 23:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:02:31 tlr: 2.3e-05 tnm: 0.67 Lm: 6.712 (6.689) Lt: 5.976 (5.957) Accm: 2.85 (2.91) Acct: 4.72 (4.68) proj_loss: -0.6062 (-0.6034) time: 0.3651 data: 0.0003 [11-24 23:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:02:31 tlr: 2.3e-05 tnm: 0.67 Lm: 6.572 (6.613) Lt: 5.894 (5.921) Accm: 3.16 (3.06) Acct: 4.75 (4.63) proj_loss: -0.6127 (-0.6086) time: 0.3651 data: 0.0003 [11-24 23:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:02:31 tlr: 2.3e-05 tnm: 0.67 Lm: 6.665 (6.661) Lt: 5.944 (5.954) Accm: 2.97 (3.02) Acct: 4.61 (4.64) proj_loss: -0.6088 (-0.6080) time: 0.3651 data: 0.0003 [11-24 23:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:02:31 tlr: 2.3e-05 tnm: 0.67 Lm: 6.599 (6.620) Lt: 5.899 (5.915) Accm: 2.98 (3.01) Acct: 4.55 (4.64) proj_loss: -0.6096 (-0.6099) time: 0.3651 data: 0.0003 [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.66 Lm: 6.606 (6.637) Lt: 5.907 (5.923) Accm: 2.98 (3.00) Acct: 4.49 (4.59) proj_loss: -0.6178 (-0.6122) time: 0.3635 data: 0.0018 [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:10:06 (0.364 s / it) [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.66 Lm: 6.562 (6.587) Lt: 5.833 (5.895) Accm: 3.23 (3.18) Acct: 5.03 (4.83) proj_loss: -0.6073 (-0.6067) time: 0.3635 data: 0.0017 [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.66 Lm: 6.698 (6.686) Lt: 6.021 (5.973) Accm: 2.85 (2.89) Acct: 4.55 (4.61) proj_loss: -0.6096 (-0.6078) time: 0.3635 data: 0.0020 [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.66 Lm: 6.705 (6.687) Lt: 6.034 (5.974) Accm: 2.90 (2.95) Acct: 4.46 (4.60) proj_loss: -0.6015 (-0.6067) time: 0.3635 data: 0.0019 [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:10:07 (0.364 s / it) [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:10:07 (0.364 s / it) [11-24 23:43:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:10:07 (0.364 s / it) [11-24 23:43:05] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.633 (6.633), Lt: 5.913 (5.913), Acc m&t: 3.07 4.79, Remain: 4:44:48, Finish: 2024-11-24 12:27 [11-24 23:43:05] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.633 (6.633), Lt: 5.913 (5.913), Acc m&t: 3.07 4.79, Remain: 4:45:00, Finish: 2024-11-24 12:28 [11-24 23:43:05] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.633 (6.633), Lt: 5.913 (5.913), Acc m&t: 3.07 4.79, Remain: 4:44:45, Finish: 2024-11-24 12:27 [11-24 23:43:05] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.633 (6.633), Lt: 5.913 (5.913), Acc m&t: 3.07 4.79, Remain: 4:44:53, Finish: 2024-11-24 12:27 [11-24 23:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:09:33 tlr: 2.3e-05 tnm: 0.66 Lm: 6.544 (6.544) Lt: 5.791 (5.791) Accm: 3.34 (3.34) Acct: 5.48 (5.48) proj_loss: -0.6048 (-0.6048) time: 0.3435 data: 0.0003 [11-24 23:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:09:34 tlr: 2.3e-05 tnm: 0.66 Lm: 6.890 (6.890) Lt: 6.104 (6.104) Accm: 2.64 (2.64) Acct: 4.22 (4.22) proj_loss: -0.5806 (-0.5806) time: 0.3443 data: 0.0003 [11-24 23:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:09:32 tlr: 2.3e-05 tnm: 0.66 Lm: 6.744 (6.744) Lt: 6.031 (6.031) Accm: 2.81 (2.81) Acct: 4.37 (4.37) proj_loss: -0.6096 (-0.6096) time: 0.3433 data: 0.0003 [11-24 23:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:09:34 tlr: 2.3e-05 tnm: 0.66 Lm: 6.499 (6.499) Lt: 5.744 (5.744) Accm: 3.39 (3.39) Acct: 5.15 (5.15) proj_loss: -0.5984 (-0.5984) time: 0.3442 data: 0.0004 [11-24 23:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:07:47 tlr: 2.3e-05 tnm: 0.66 Lm: 6.517 (6.517) Lt: 5.757 (5.757) Accm: 3.43 (3.43) Acct: 5.29 (5.29) proj_loss: -0.6019 (-0.6019) time: 0.3617 data: 0.0003 [11-24 23:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:07:47 tlr: 2.3e-05 tnm: 0.66 Lm: 6.777 (6.777) Lt: 6.018 (6.018) Accm: 2.93 (2.93) Acct: 4.67 (4.67) proj_loss: -0.5935 (-0.5935) time: 0.3617 data: 0.0003 [11-24 23:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:07:47 tlr: 2.3e-05 tnm: 0.66 Lm: 6.601 (6.601) Lt: 5.874 (5.874) Accm: 2.99 (2.99) Acct: 4.69 (4.69) proj_loss: -0.6013 (-0.6013) time: 0.3618 data: 0.0003 [11-24 23:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:07:47 tlr: 2.3e-05 tnm: 0.66 Lm: 6.737 (6.737) Lt: 6.010 (6.010) Accm: 2.86 (2.86) Acct: 4.50 (4.50) proj_loss: -0.6052 (-0.6052) time: 0.3617 data: 0.0003 [11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:05:08 tlr: 2.2e-05 tnm: 0.67 Lm: 6.730 (6.705) Lt: 5.988 (5.988) Accm: 2.91 (2.89) Acct: 4.63 (4.59) proj_loss: -0.6096 (-0.6070) time: 0.3642 data: 0.0003 [11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:05:08 tlr: 2.2e-05 tnm: 0.67 Lm: 6.658 (6.636) Lt: 5.957 (5.914) Accm: 2.77 (2.92) Acct: 4.32 (4.57) proj_loss: -0.5978 (-0.5984) time: 0.3642 data: 0.0003 [11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:05:08 tlr: 2.2e-05 tnm: 0.67 Lm: 6.518 (6.518) Lt: 5.770 (5.770) Accm: 3.47 (3.44) Acct: 5.42 (5.34) proj_loss: -0.5989 (-0.6009) time: 0.3642 data: 0.0004 [11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:05:08 tlr: 2.2e-05 tnm: 0.67 Lm: 6.663 (6.729) Lt: 5.933 (5.976) Accm: 3.13 (3.00) Acct: 4.99 (4.78) proj_loss: -0.5961 (-0.5944) time: 0.3642 data: 0.0003 [11-24 23:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.677 (6.651) Lt: 5.949 (5.920) Accm: 2.80 (2.89) Acct: 4.39 (4.54) proj_loss: -0.6013 (-0.6027) time: 0.4009 data: 0.0003 [11-24 23:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.527 (6.538) Lt: 5.783 (5.800) Accm: 3.43 (3.34) Acct: 5.29 (5.20) proj_loss: -0.6022 (-0.6056) time: 0.4009 data: 0.0002 [11-24 23:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.661 (6.712) Lt: 5.931 (5.964) Accm: 3.04 (2.98) Acct: 4.92 (4.80) proj_loss: -0.5980 (-0.5957) time: 0.4009 data: 0.0003 [11-24 23:50:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.686 (6.674) Lt: 5.966 (5.960) Accm: 2.94 (2.94) Acct: 4.68 (4.62) proj_loss: -0.6100 (-0.6078) time: 0.4009 data: 0.0003 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.68 Lm: 6.720 (6.683) Lt: 5.988 (5.974) Accm: 2.91 (2.88) Acct: 4.63 (4.48) proj_loss: -0.6103 (-0.6100) time: 0.3629 data: 0.0019 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:10:22 (0.373 s / it) [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.68 Lm: 6.658 (6.634) Lt: 5.941 (5.903) Accm: 2.83 (2.96) Acct: 4.46 (4.63) proj_loss: -0.6002 (-0.6022) time: 0.3629 data: 0.0017 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.68 Lm: 6.536 (6.563) Lt: 5.797 (5.817) Accm: 3.39 (3.25) Acct: 5.15 (5.06) proj_loss: -0.5989 (-0.6028) time: 0.3629 data: 0.0016 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.68 Lm: 6.658 (6.660) Lt: 5.929 (5.915) Accm: 3.13 (3.10) Acct: 4.99 (4.96) proj_loss: -0.5998 (-0.5971) time: 0.3629 data: 0.0018 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:10:22 (0.373 s / it) [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:10:22 (0.373 s / it) [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:10:22 (0.373 s / it) [11-24 23:53:28] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.633 (6.648), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 4:33:19, Finish: 2024-11-24 12:26 [11-24 23:53:28] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.633 (6.648), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 4:33:17, Finish: 2024-11-24 12:26 [11-24 23:53:28] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.633 (6.648), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 4:33:19, Finish: 2024-11-24 12:26 [11-24 23:53:28] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.633 (6.648), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 4:33:20, Finish: 2024-11-24 12:26 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:09:46 tlr: 2.2e-05 tnm: 0.67 Lm: 6.640 (6.640) Lt: 5.925 (5.925) Accm: 3.10 (3.10) Acct: 5.06 (5.06) proj_loss: -0.6286 (-0.6286) time: 0.3511 data: 0.0004 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:09:38 tlr: 2.2e-05 tnm: 0.67 Lm: 6.630 (6.630) Lt: 5.882 (5.882) Accm: 2.83 (2.83) Acct: 4.32 (4.32) proj_loss: -0.5965 (-0.5965) time: 0.3465 data: 0.0003 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:09:47 tlr: 2.2e-05 tnm: 0.67 Lm: 6.580 (6.580) Lt: 5.869 (5.869) Accm: 3.23 (3.23) Acct: 4.91 (4.91) proj_loss: -0.6134 (-0.6134) time: 0.3522 data: 0.0003 [11-24 23:53:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:09:48 tlr: 2.2e-05 tnm: 0.67 Lm: 6.522 (6.522) Lt: 5.811 (5.811) Accm: 3.73 (3.73) Acct: 5.46 (5.46) proj_loss: -0.6273 (-0.6273) time: 0.3525 data: 0.0003 [11-24 23:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:07:52 tlr: 2.2e-05 tnm: 0.67 Lm: 6.632 (6.632) Lt: 5.937 (5.937) Accm: 3.04 (3.04) Acct: 4.49 (4.49) proj_loss: -0.6221 (-0.6221) time: 0.3639 data: 0.0005 [11-24 23:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:07:52 tlr: 2.2e-05 tnm: 0.67 Lm: 6.628 (6.628) Lt: 5.902 (5.902) Accm: 3.13 (3.13) Acct: 4.97 (4.97) proj_loss: -0.6202 (-0.6202) time: 0.3639 data: 0.0003 [11-24 23:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:07:52 tlr: 2.2e-05 tnm: 0.67 Lm: 6.609 (6.609) Lt: 5.859 (5.859) Accm: 2.89 (2.89) Acct: 4.44 (4.44) proj_loss: -0.5999 (-0.5999) time: 0.3639 data: 0.0003 [11-24 23:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:07:52 tlr: 2.2e-05 tnm: 0.67 Lm: 6.638 (6.638) Lt: 5.935 (5.935) Accm: 3.09 (3.09) Acct: 4.80 (4.80) proj_loss: -0.6075 (-0.6075) time: 0.3639 data: 0.0003 [11-24 23:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:05:11 tlr: 2.2e-05 tnm: 0.65 Lm: 6.630 (6.633) Lt: 5.882 (5.904) Accm: 2.83 (2.83) Acct: 4.32 (4.37) proj_loss: -0.6032 (-0.6055) time: 0.3622 data: 0.0003 [11-24 23:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:05:11 tlr: 2.2e-05 tnm: 0.65 Lm: 6.615 (6.596) Lt: 5.879 (5.868) Accm: 3.15 (3.15) Acct: 4.96 (4.96) proj_loss: -0.6148 (-0.6184) time: 0.3622 data: 0.0003 [11-24 23:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:05:11 tlr: 2.2e-05 tnm: 0.65 Lm: 6.522 (6.572) Lt: 5.811 (5.870) Accm: 3.53 (3.21) Acct: 5.39 (4.79) proj_loss: -0.6179 (-0.6207) time: 0.3622 data: 0.0003 [11-24 23:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:05:11 tlr: 2.2e-05 tnm: 0.65 Lm: 6.580 (6.596) Lt: 5.869 (5.883) Accm: 3.23 (3.19) Acct: 4.91 (4.87) proj_loss: -0.6016 (-0.6034) time: 0.3623 data: 0.0003 [11-25 00:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.579 (6.591) Lt: 5.825 (5.856) Accm: 3.24 (3.21) Acct: 4.96 (4.99) proj_loss: -0.6004 (-0.6024) time: 0.3639 data: 0.0003 [11-25 00:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.652 (6.643) Lt: 5.937 (5.940) Accm: 2.77 (2.78) Acct: 4.28 (4.28) proj_loss: -0.6046 (-0.6056) time: 0.3639 data: 0.0003 [11-25 00:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.630 (6.614) Lt: 5.932 (5.916) Accm: 3.27 (3.16) Acct: 5.05 (4.77) proj_loss: -0.6226 (-0.6225) time: 0.3639 data: 0.0003 [11-25 00:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:02:35 tlr: 2.2e-05 tnm: 0.65 Lm: 6.592 (6.589) Lt: 5.849 (5.855) Accm: 3.14 (3.15) Acct: 4.96 (4.96) proj_loss: -0.6133 (-0.6110) time: 0.3639 data: 0.0002 [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.65 Lm: 6.568 (6.580) Lt: 5.849 (5.854) Accm: 3.14 (3.14) Acct: 4.96 (4.96) proj_loss: -0.6148 (-0.6130) time: 0.3621 data: 0.0019 [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.65 Lm: 6.630 (6.638) Lt: 5.886 (5.929) Accm: 2.83 (2.81) Acct: 4.32 (4.34) proj_loss: -0.6035 (-0.6052) time: 0.3621 data: 0.0015 [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.65 Lm: 6.580 (6.615) Lt: 5.869 (5.884) Accm: 3.23 (3.14) Acct: 4.91 (4.87) proj_loss: -0.5999 (-0.6019) time: 0.3621 data: 0.0015 [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.65 Lm: 6.610 (6.613) Lt: 5.883 (5.909) Accm: 3.37 (3.20) Acct: 4.99 (4.82) proj_loss: -0.6179 (-0.6165) time: 0.3621 data: 0.0020 [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:03:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:03:44] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.931), Acc m&t: 3.07 4.79, Remain: 4:23:23, Finish: 2024-11-24 12:27 [11-25 00:03:44] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.931), Acc m&t: 3.07 4.79, Remain: 4:23:26, Finish: 2024-11-24 12:27 [11-25 00:03:44] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.931), Acc m&t: 3.07 4.79, Remain: 4:23:23, Finish: 2024-11-24 12:27 [11-25 00:03:44] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.931), Acc m&t: 3.07 4.79, Remain: 4:23:22, Finish: 2024-11-24 12:27 [11-25 00:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:09:34 tlr: 2.1e-05 tnm: 0.66 Lm: 6.610 (6.610) Lt: 5.886 (5.886) Accm: 2.96 (2.96) Acct: 4.25 (4.25) proj_loss: -0.6106 (-0.6106) time: 0.3440 data: 0.0003 [11-25 00:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:09:35 tlr: 2.1e-05 tnm: 0.66 Lm: 6.665 (6.665) Lt: 5.986 (5.986) Accm: 3.00 (3.00) Acct: 4.55 (4.55) proj_loss: -0.6112 (-0.6112) time: 0.3448 data: 0.0003 [11-25 00:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:09:37 tlr: 2.1e-05 tnm: 0.66 Lm: 6.691 (6.691) Lt: 6.006 (6.006) Accm: 2.92 (2.92) Acct: 4.60 (4.60) proj_loss: -0.5958 (-0.5958) time: 0.3461 data: 0.0003 [11-25 00:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:09:36 tlr: 2.1e-05 tnm: 0.66 Lm: 6.581 (6.581) Lt: 5.856 (5.856) Accm: 3.61 (3.61) Acct: 5.63 (5.63) proj_loss: -0.6023 (-0.6023) time: 0.3455 data: 0.0003 [11-25 00:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:07:33 tlr: 2.1e-05 tnm: 0.64 Lm: 6.559 (6.559) Lt: 5.818 (5.818) Accm: 3.63 (3.63) Acct: 5.63 (5.63) proj_loss: -0.6021 (-0.6021) time: 0.3634 data: 0.0003 [11-25 00:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:07:33 tlr: 2.1e-05 tnm: 0.64 Lm: 6.698 (6.698) Lt: 5.981 (5.981) Accm: 2.88 (2.88) Acct: 4.40 (4.40) proj_loss: -0.6036 (-0.6036) time: 0.3634 data: 0.0004 [11-25 00:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:07:33 tlr: 2.1e-05 tnm: 0.64 Lm: 6.653 (6.653) Lt: 5.957 (5.957) Accm: 3.12 (3.12) Acct: 4.82 (4.82) proj_loss: -0.6090 (-0.6090) time: 0.3634 data: 0.0003 [11-25 00:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:07:33 tlr: 2.1e-05 tnm: 0.64 Lm: 6.691 (6.691) Lt: 6.010 (6.010) Accm: 2.85 (2.85) Acct: 4.46 (4.46) proj_loss: -0.6153 (-0.6153) time: 0.3634 data: 0.0002 [11-25 00:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:05:02 tlr: 2.1e-05 tnm: 0.67 Lm: 6.691 (6.642) Lt: 6.006 (5.949) Accm: 2.92 (3.03) Acct: 4.60 (4.69) proj_loss: -0.6045 (-0.6117) time: 0.3629 data: 0.0003 [11-25 00:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:05:02 tlr: 2.1e-05 tnm: 0.67 Lm: 6.665 (6.686) Lt: 5.986 (5.997) Accm: 3.00 (3.00) Acct: 4.55 (4.68) proj_loss: -0.6112 (-0.6107) time: 0.3629 data: 0.0003 [11-25 00:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:05:02 tlr: 2.1e-05 tnm: 0.67 Lm: 6.581 (6.593) Lt: 5.856 (5.868) Accm: 3.61 (3.48) Acct: 5.63 (5.37) proj_loss: -0.6018 (-0.5968) time: 0.3629 data: 0.0003 [11-25 00:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:05:02 tlr: 2.1e-05 tnm: 0.67 Lm: 6.668 (6.688) Lt: 5.911 (5.958) Accm: 2.96 (2.97) Acct: 4.55 (4.57) proj_loss: -0.6063 (-0.6045) time: 0.3629 data: 0.0003 [11-25 00:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:02:31 tlr: 2.1e-05 tnm: 0.67 Lm: 6.639 (6.665) Lt: 5.898 (5.933) Accm: 3.05 (3.02) Acct: 4.73 (4.68) proj_loss: -0.6015 (-0.6025) time: 0.3630 data: 0.0003 [11-25 00:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:02:31 tlr: 2.1e-05 tnm: 0.67 Lm: 6.708 (6.711) Lt: 6.032 (6.021) Accm: 2.88 (2.91) Acct: 4.48 (4.57) proj_loss: -0.6117 (-0.6111) time: 0.3630 data: 0.0003 [11-25 00:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:02:31 tlr: 2.1e-05 tnm: 0.67 Lm: 6.578 (6.588) Lt: 5.839 (5.857) Accm: 3.40 (3.37) Acct: 5.24 (5.24) proj_loss: -0.6021 (-0.5986) time: 0.3630 data: 0.0002 [11-25 00:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:02:31 tlr: 2.1e-05 tnm: 0.67 Lm: 6.617 (6.588) Lt: 5.916 (5.890) Accm: 3.15 (3.20) Acct: 4.88 (4.91) proj_loss: -0.6048 (-0.6100) time: 0.3630 data: 0.0003 [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.67 Lm: 6.691 (6.612) Lt: 6.006 (5.917) Accm: 2.92 (3.14) Acct: 4.60 (4.84) proj_loss: -0.6050 (-0.6109) time: 0.3648 data: 0.0017 [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:10:06 (0.364 s / it) [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.67 Lm: 6.727 (6.714) Lt: 6.064 (6.029) Accm: 2.88 (2.91) Acct: 4.49 (4.55) proj_loss: -0.6112 (-0.6052) time: 0.3648 data: 0.0016 [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.67 Lm: 6.581 (6.597) Lt: 5.856 (5.861) Accm: 3.18 (3.30) Acct: 4.91 (5.17) proj_loss: -0.6023 (-0.6011) time: 0.3648 data: 0.0019 [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.67 Lm: 6.610 (6.651) Lt: 5.911 (5.933) Accm: 3.14 (3.06) Acct: 4.91 (4.73) proj_loss: -0.6063 (-0.6050) time: 0.3648 data: 0.0017 [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:10:06 (0.364 s / it) [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:10:06 (0.364 s / it) [11-25 00:13:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:10:06 (0.364 s / it) [11-25 00:13:51] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 4:14:06, Finish: 2024-11-24 12:27 [11-25 00:13:51] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 4:14:04, Finish: 2024-11-24 12:27 [11-25 00:13:51] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 4:14:07, Finish: 2024-11-24 12:27 [11-25 00:13:51] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 4:14:11, Finish: 2024-11-24 12:28 [11-25 00:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:09:41 tlr: 2.1e-05 tnm: 0.65 Lm: 6.707 (6.707) Lt: 5.987 (5.987) Accm: 2.90 (2.90) Acct: 4.65 (4.65) proj_loss: -0.6088 (-0.6088) time: 0.3486 data: 0.0004 [11-25 00:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:09:42 tlr: 2.1e-05 tnm: 0.65 Lm: 6.440 (6.440) Lt: 5.649 (5.649) Accm: 3.45 (3.45) Acct: 5.60 (5.60) proj_loss: -0.6106 (-0.6106) time: 0.3490 data: 0.0004 [11-25 00:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:10:22 tlr: 2.1e-05 tnm: 0.65 Lm: 6.699 (6.699) Lt: 5.981 (5.981) Accm: 2.82 (2.82) Acct: 4.39 (4.39) proj_loss: -0.6054 (-0.6054) time: 0.3727 data: 0.0003 [11-25 00:13:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:09:37 tlr: 2.1e-05 tnm: 0.65 Lm: 6.590 (6.590) Lt: 5.905 (5.905) Accm: 3.42 (3.42) Acct: 5.39 (5.39) proj_loss: -0.6302 (-0.6302) time: 0.3460 data: 0.0004 [11-25 00:16:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:07:41 tlr: 2e-05 tnm: 0.66 Lm: 6.532 (6.532) Lt: 5.766 (5.766) Accm: 3.54 (3.54) Acct: 5.66 (5.66) proj_loss: -0.6089 (-0.6089) time: 0.3627 data: 0.0003 [11-25 00:16:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:07:41 tlr: 2e-05 tnm: 0.66 Lm: 6.455 (6.455) Lt: 5.703 (5.703) Accm: 3.43 (3.43) Acct: 5.23 (5.23) proj_loss: -0.6125 (-0.6125) time: 0.3627 data: 0.0003 [11-25 00:16:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:07:41 tlr: 2e-05 tnm: 0.66 Lm: 6.757 (6.757) Lt: 6.054 (6.054) Accm: 2.70 (2.70) Acct: 4.21 (4.21) proj_loss: -0.6100 (-0.6100) time: 0.3627 data: 0.0003 [11-25 00:16:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:07:41 tlr: 2e-05 tnm: 0.66 Lm: 6.748 (6.748) Lt: 6.050 (6.050) Accm: 2.71 (2.71) Acct: 4.13 (4.13) proj_loss: -0.6069 (-0.6069) time: 0.3627 data: 0.0003 [11-25 00:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:05:07 tlr: 2e-05 tnm: 0.68 Lm: 6.724 (6.740) Lt: 6.031 (6.044) Accm: 2.82 (2.84) Acct: 4.39 (4.28) proj_loss: -0.6083 (-0.6092) time: 0.3627 data: 0.0003 [11-25 00:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:05:07 tlr: 2e-05 tnm: 0.68 Lm: 6.471 (6.545) Lt: 5.757 (5.818) Accm: 3.41 (3.17) Acct: 4.86 (4.87) proj_loss: -0.6106 (-0.6049) time: 0.3627 data: 0.0003 [11-25 00:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:05:07 tlr: 2e-05 tnm: 0.68 Lm: 6.590 (6.559) Lt: 5.905 (5.827) Accm: 3.42 (3.46) Acct: 5.39 (5.30) proj_loss: -0.6254 (-0.6144) time: 0.3627 data: 0.0003 [11-25 00:18:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:05:07 tlr: 2e-05 tnm: 0.68 Lm: 6.707 (6.715) Lt: 5.987 (6.003) Accm: 2.90 (2.83) Acct: 4.65 (4.40) proj_loss: -0.6088 (-0.6084) time: 0.3627 data: 0.0003 [11-25 00:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:02:35 tlr: 2e-05 tnm: 0.66 Lm: 6.676 (6.698) Lt: 5.947 (5.979) Accm: 2.94 (2.87) Acct: 4.61 (4.44) proj_loss: -0.6069 (-0.6041) time: 0.3635 data: 0.0002 [11-25 00:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:02:35 tlr: 2e-05 tnm: 0.66 Lm: 6.600 (6.621) Lt: 5.927 (5.889) Accm: 3.36 (3.22) Acct: 4.98 (4.99) proj_loss: -0.6142 (-0.6116) time: 0.3635 data: 0.0003 [11-25 00:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:02:35 tlr: 2e-05 tnm: 0.66 Lm: 6.711 (6.685) Lt: 6.006 (5.974) Accm: 2.96 (2.98) Acct: 4.48 (4.58) proj_loss: -0.6090 (-0.6093) time: 0.3635 data: 0.0004 [11-25 00:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:02:35 tlr: 2e-05 tnm: 0.66 Lm: 6.537 (6.559) Lt: 5.818 (5.833) Accm: 3.28 (3.17) Acct: 4.80 (4.84) proj_loss: -0.6027 (-0.6024) time: 0.3635 data: 0.0002 [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.65 Lm: 6.603 (6.574) Lt: 5.878 (5.853) Accm: 3.15 (3.11) Acct: 4.75 (4.76) proj_loss: -0.5980 (-0.6015) time: 0.3643 data: 0.0020 [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.65 Lm: 6.676 (6.693) Lt: 5.958 (5.975) Accm: 2.99 (2.95) Acct: 4.65 (4.60) proj_loss: -0.6088 (-0.6056) time: 0.3643 data: 0.0021 [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.65 Lm: 6.724 (6.712) Lt: 6.031 (6.008) Accm: 2.82 (2.89) Acct: 4.39 (4.45) proj_loss: -0.6083 (-0.6057) time: 0.3643 data: 0.0017 [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:10:21 (0.373 s / it) [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.65 Lm: 6.611 (6.643) Lt: 5.949 (5.935) Accm: 3.29 (3.14) Acct: 4.58 (4.87) proj_loss: -0.6199 (-0.6132) time: 0.3643 data: 0.0019 [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:10:21 (0.373 s / it) [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:10:21 (0.373 s / it) [11-25 00:24:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:10:21 (0.373 s / it) [11-25 00:24:13] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.633 (6.671), Lt: 5.913 (5.954), Acc m&t: 3.07 4.79, Remain: 4:03:31, Finish: 2024-11-24 12:27 [11-25 00:24:13] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.633 (6.671), Lt: 5.913 (5.954), Acc m&t: 3.07 4.79, Remain: 4:03:47, Finish: 2024-11-24 12:28 [11-25 00:24:13] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.633 (6.671), Lt: 5.913 (5.954), Acc m&t: 3.07 4.79, Remain: 4:03:41, Finish: 2024-11-24 12:27 [11-25 00:24:13] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.633 (6.671), Lt: 5.913 (5.954), Acc m&t: 3.07 4.79, Remain: 4:03:38, Finish: 2024-11-24 12:27 [11-25 00:24:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:09:58 tlr: 2e-05 tnm: 0.66 Lm: 6.845 (6.845) Lt: 6.174 (6.174) Accm: 2.59 (2.59) Acct: 3.99 (3.99) proj_loss: -0.6133 (-0.6133) time: 0.3589 data: 0.0004 [11-25 00:24:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:09:58 tlr: 2e-05 tnm: 0.66 Lm: 6.737 (6.737) Lt: 6.043 (6.043) Accm: 2.73 (2.73) Acct: 4.20 (4.20) proj_loss: -0.6357 (-0.6357) time: 0.3587 data: 0.0004 [11-25 00:24:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:10:03 tlr: 2e-05 tnm: 0.66 Lm: 6.578 (6.578) Lt: 5.866 (5.866) Accm: 3.29 (3.29) Acct: 5.27 (5.27) proj_loss: -0.6105 (-0.6105) time: 0.3614 data: 0.0003 [11-25 00:24:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:09:59 tlr: 2e-05 tnm: 0.66 Lm: 6.628 (6.628) Lt: 5.905 (5.905) Accm: 3.21 (3.21) Acct: 5.04 (5.04) proj_loss: -0.6267 (-0.6267) time: 0.3594 data: 0.0003 [11-25 00:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:07:53 tlr: 2e-05 tnm: 0.65 Lm: 6.658 (6.658) Lt: 5.956 (5.956) Accm: 3.00 (3.00) Acct: 4.80 (4.80) proj_loss: -0.6188 (-0.6188) time: 0.3620 data: 0.0003 [11-25 00:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:07:53 tlr: 2e-05 tnm: 0.65 Lm: 6.762 (6.762) Lt: 6.059 (6.059) Accm: 2.78 (2.78) Acct: 4.36 (4.36) proj_loss: -0.6066 (-0.6066) time: 0.3620 data: 0.0003 [11-25 00:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:07:53 tlr: 2e-05 tnm: 0.65 Lm: 6.694 (6.694) Lt: 5.990 (5.990) Accm: 2.88 (2.88) Acct: 4.53 (4.53) proj_loss: -0.5937 (-0.5937) time: 0.3620 data: 0.0003 [11-25 00:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:07:53 tlr: 2e-05 tnm: 0.65 Lm: 6.656 (6.656) Lt: 5.951 (5.951) Accm: 2.86 (2.86) Acct: 4.52 (4.52) proj_loss: -0.6229 (-0.6229) time: 0.3620 data: 0.0004 [11-25 00:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:05:13 tlr: 2e-05 tnm: 0.67 Lm: 6.652 (6.655) Lt: 5.921 (5.941) Accm: 2.94 (2.89) Acct: 4.58 (4.54) proj_loss: -0.6101 (-0.6142) time: 0.3628 data: 0.0003 [11-25 00:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:05:13 tlr: 2e-05 tnm: 0.67 Lm: 6.639 (6.676) Lt: 5.947 (5.976) Accm: 2.97 (2.91) Acct: 5.08 (4.71) proj_loss: -0.6105 (-0.6029) time: 0.3628 data: 0.0002 [11-25 00:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:05:13 tlr: 2e-05 tnm: 0.67 Lm: 6.781 (6.768) Lt: 6.061 (6.059) Accm: 2.75 (2.77) Acct: 4.65 (4.46) proj_loss: -0.6054 (-0.6062) time: 0.3628 data: 0.0002 [11-25 00:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:05:13 tlr: 2e-05 tnm: 0.67 Lm: 6.646 (6.654) Lt: 5.905 (5.933) Accm: 3.04 (3.01) Acct: 4.58 (4.73) proj_loss: -0.6129 (-0.6168) time: 0.3628 data: 0.0003 [11-25 00:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:02:34 tlr: 1.9e-05 tnm: 0.67 Lm: 6.656 (6.657) Lt: 5.926 (5.936) Accm: 2.92 (2.96) Acct: 4.57 (4.64) proj_loss: -0.6119 (-0.6145) time: 0.3624 data: 0.0002 [11-25 00:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:02:34 tlr: 1.9e-05 tnm: 0.67 Lm: 6.730 (6.741) Lt: 6.032 (6.045) Accm: 2.81 (2.79) Acct: 4.49 (4.43) proj_loss: -0.6029 (-0.6048) time: 0.3624 data: 0.0002 [11-25 00:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:02:34 tlr: 1.9e-05 tnm: 0.67 Lm: 6.614 (6.598) Lt: 5.890 (5.853) Accm: 2.97 (3.05) Acct: 4.71 (4.83) proj_loss: -0.6035 (-0.6093) time: 0.3624 data: 0.0002 [11-25 00:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:02:34 tlr: 1.9e-05 tnm: 0.67 Lm: 6.634 (6.664) Lt: 5.919 (5.954) Accm: 3.02 (2.95) Acct: 4.98 (4.76) proj_loss: -0.6101 (-0.6046) time: 0.3624 data: 0.0003 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.66 Lm: 6.781 (6.756) Lt: 6.061 (6.053) Accm: 2.75 (2.75) Acct: 4.34 (4.40) proj_loss: -0.6004 (-0.6036) time: 0.3616 data: 0.0016 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.66 Lm: 6.667 (6.662) Lt: 5.910 (5.931) Accm: 2.98 (2.96) Acct: 4.58 (4.65) proj_loss: -0.6109 (-0.6134) time: 0.3616 data: 0.0018 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.66 Lm: 6.630 (6.657) Lt: 5.890 (5.937) Accm: 3.06 (2.97) Acct: 4.99 (4.80) proj_loss: -0.6100 (-0.6057) time: 0.3616 data: 0.0021 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.66 Lm: 6.652 (6.611) Lt: 5.921 (5.871) Accm: 2.94 (2.97) Acct: 4.58 (4.75) proj_loss: -0.6023 (-0.6079) time: 0.3616 data: 0.0017 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:10:16 (0.369 s / it) [11-25 00:34:30] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.926), Acc m&t: 3.07 4.79, Remain: 3:52:51, Finish: 2024-11-24 12:27 [11-25 00:34:30] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.926), Acc m&t: 3.07 4.79, Remain: 3:52:57, Finish: 2024-11-24 12:27 [11-25 00:34:30] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.926), Acc m&t: 3.07 4.79, Remain: 3:52:48, Finish: 2024-11-24 12:27 [11-25 00:34:30] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.633 (6.646), Lt: 5.913 (5.926), Acc m&t: 3.07 4.79, Remain: 3:52:51, Finish: 2024-11-24 12:27 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:09:46 tlr: 1.9e-05 tnm: 0.65 Lm: 6.715 (6.715) Lt: 6.016 (6.016) Accm: 3.02 (3.02) Acct: 4.80 (4.80) proj_loss: -0.6071 (-0.6071) time: 0.3516 data: 0.0004 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:09:52 tlr: 1.9e-05 tnm: 0.65 Lm: 6.568 (6.568) Lt: 5.850 (5.850) Accm: 3.34 (3.34) Acct: 4.96 (4.96) proj_loss: -0.6093 (-0.6093) time: 0.3550 data: 0.0004 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:09:52 tlr: 1.9e-05 tnm: 0.65 Lm: 6.758 (6.758) Lt: 6.041 (6.041) Accm: 2.96 (2.96) Acct: 4.61 (4.61) proj_loss: -0.5905 (-0.5905) time: 0.3548 data: 0.0004 [11-25 00:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:09:52 tlr: 1.9e-05 tnm: 0.65 Lm: 6.647 (6.647) Lt: 5.928 (5.928) Accm: 3.04 (3.04) Acct: 4.87 (4.87) proj_loss: -0.6041 (-0.6041) time: 0.3552 data: 0.0004 [11-25 00:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:07:33 tlr: 1.9e-05 tnm: 0.68 Lm: 6.667 (6.667) Lt: 5.946 (5.946) Accm: 3.03 (3.03) Acct: 4.93 (4.93) proj_loss: -0.6178 (-0.6178) time: 0.3607 data: 0.0003 [11-25 00:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:07:33 tlr: 1.9e-05 tnm: 0.68 Lm: 6.722 (6.722) Lt: 6.017 (6.017) Accm: 2.82 (2.82) Acct: 4.30 (4.30) proj_loss: -0.5991 (-0.5991) time: 0.3607 data: 0.0003 [11-25 00:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:07:33 tlr: 1.9e-05 tnm: 0.68 Lm: 6.617 (6.617) Lt: 5.923 (5.923) Accm: 3.06 (3.06) Acct: 4.73 (4.73) proj_loss: -0.6072 (-0.6072) time: 0.3607 data: 0.0003 [11-25 00:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:07:33 tlr: 1.9e-05 tnm: 0.68 Lm: 6.565 (6.565) Lt: 5.859 (5.859) Accm: 3.43 (3.43) Acct: 5.35 (5.35) proj_loss: -0.6136 (-0.6136) time: 0.3607 data: 0.0003 [11-25 00:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:05:02 tlr: 1.9e-05 tnm: 0.66 Lm: 6.630 (6.587) Lt: 5.969 (5.896) Accm: 3.02 (3.29) Acct: 4.80 (5.11) proj_loss: -0.6113 (-0.6128) time: 0.3636 data: 0.0003 [11-25 00:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:05:02 tlr: 1.9e-05 tnm: 0.66 Lm: 6.666 (6.650) Lt: 5.969 (5.938) Accm: 3.04 (3.05) Acct: 4.89 (4.79) proj_loss: -0.6093 (-0.6087) time: 0.3636 data: 0.0003 [11-25 00:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:05:02 tlr: 1.9e-05 tnm: 0.66 Lm: 6.667 (6.667) Lt: 5.961 (5.951) Accm: 3.04 (3.09) Acct: 4.99 (4.96) proj_loss: -0.6041 (-0.6092) time: 0.3636 data: 0.0002 [11-25 00:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:05:02 tlr: 1.9e-05 tnm: 0.66 Lm: 6.687 (6.700) Lt: 5.994 (6.003) Accm: 2.96 (2.98) Acct: 4.61 (4.56) proj_loss: -0.6076 (-0.6052) time: 0.3636 data: 0.0003 [11-25 00:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:02:31 tlr: 1.9e-05 tnm: 0.66 Lm: 6.679 (6.693) Lt: 5.985 (5.996) Accm: 2.94 (2.97) Acct: 4.58 (4.56) proj_loss: -0.6075 (-0.6058) time: 0.3627 data: 0.0002 [11-25 00:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:02:31 tlr: 1.9e-05 tnm: 0.66 Lm: 6.691 (6.684) Lt: 5.983 (5.990) Accm: 2.91 (2.95) Acct: 4.70 (4.56) proj_loss: -0.6105 (-0.6121) time: 0.3627 data: 0.0003 [11-25 00:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:02:31 tlr: 1.9e-05 tnm: 0.66 Lm: 6.592 (6.579) Lt: 5.876 (5.867) Accm: 3.13 (3.28) Acct: 4.97 (5.12) proj_loss: -0.6139 (-0.6137) time: 0.3627 data: 0.0003 [11-25 00:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:02:31 tlr: 1.9e-05 tnm: 0.66 Lm: 6.676 (6.680) Lt: 5.962 (5.972) Accm: 3.03 (3.05) Acct: 4.93 (4.81) proj_loss: -0.6128 (-0.6123) time: 0.3628 data: 0.0002 [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.67 Lm: 6.667 (6.656) Lt: 5.961 (5.944) Accm: 3.04 (3.09) Acct: 4.89 (4.83) proj_loss: -0.6152 (-0.6129) time: 0.3658 data: 0.0016 [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:10:06 (0.363 s / it) [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.67 Lm: 6.717 (6.694) Lt: 5.996 (6.009) Accm: 2.78 (2.91) Acct: 4.51 (4.48) proj_loss: -0.6117 (-0.6123) time: 0.3658 data: 0.0019 [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.67 Lm: 6.630 (6.590) Lt: 5.909 (5.876) Accm: 3.04 (3.23) Acct: 4.80 (5.02) proj_loss: -0.6113 (-0.6117) time: 0.3658 data: 0.0024 [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:10:06 (0.363 s / it) [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.67 Lm: 6.687 (6.696) Lt: 5.994 (6.006) Accm: 2.93 (2.90) Acct: 4.55 (4.51) proj_loss: -0.6076 (-0.6144) time: 0.3659 data: 0.0019 [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:10:06 (0.363 s / it) [11-25 00:44:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:10:06 (0.363 s / it) [11-25 00:44:36] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.633 (6.645), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 3:44:07, Finish: 2024-11-24 12:28 [11-25 00:44:36] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.633 (6.645), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 3:44:21, Finish: 2024-11-24 12:28 [11-25 00:44:36] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.633 (6.645), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 3:44:12, Finish: 2024-11-24 12:28 [11-25 00:44:36] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.633 (6.645), Lt: 5.913 (5.927), Acc m&t: 3.07 4.79, Remain: 3:44:17, Finish: 2024-11-24 12:28 [11-25 00:44:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:09:48 tlr: 1.8e-05 tnm: 0.68 Lm: 6.764 (6.764) Lt: 6.030 (6.030) Accm: 2.87 (2.87) Acct: 4.46 (4.46) proj_loss: -0.6186 (-0.6186) time: 0.3523 data: 0.0004 [11-25 00:44:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:09:48 tlr: 1.8e-05 tnm: 0.68 Lm: 6.606 (6.606) Lt: 5.859 (5.859) Accm: 3.05 (3.05) Acct: 5.01 (5.01) proj_loss: -0.6095 (-0.6095) time: 0.3526 data: 0.0003 [11-25 00:44:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:09:48 tlr: 1.8e-05 tnm: 0.68 Lm: 6.537 (6.537) Lt: 5.834 (5.834) Accm: 2.90 (2.90) Acct: 4.41 (4.41) proj_loss: -0.6263 (-0.6263) time: 0.3524 data: 0.0004 [11-25 00:44:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:09:47 tlr: 1.8e-05 tnm: 0.68 Lm: 6.721 (6.721) Lt: 5.994 (5.994) Accm: 2.96 (2.96) Acct: 4.34 (4.34) proj_loss: -0.6041 (-0.6041) time: 0.3518 data: 0.0004 [11-25 00:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:07:42 tlr: 1.8e-05 tnm: 0.66 Lm: 6.700 (6.700) Lt: 5.991 (5.991) Accm: 2.95 (2.95) Acct: 4.39 (4.39) proj_loss: -0.6017 (-0.6017) time: 0.3622 data: 0.0003 [11-25 00:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:07:42 tlr: 1.8e-05 tnm: 0.66 Lm: 6.623 (6.623) Lt: 5.915 (5.915) Accm: 2.77 (2.77) Acct: 4.27 (4.27) proj_loss: -0.6218 (-0.6218) time: 0.3622 data: 0.0003 [11-25 00:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:07:42 tlr: 1.8e-05 tnm: 0.66 Lm: 6.609 (6.609) Lt: 5.849 (5.849) Accm: 3.19 (3.19) Acct: 4.98 (4.98) proj_loss: -0.6082 (-0.6082) time: 0.3622 data: 0.0002 [11-25 00:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:07:42 tlr: 1.8e-05 tnm: 0.66 Lm: 6.665 (6.665) Lt: 5.984 (5.984) Accm: 2.92 (2.92) Acct: 4.45 (4.45) proj_loss: -0.6187 (-0.6187) time: 0.3622 data: 0.0002 [11-25 00:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:05:10 tlr: 1.8e-05 tnm: 0.65 Lm: 6.632 (6.654) Lt: 5.964 (5.977) Accm: 2.94 (2.92) Acct: 4.30 (4.40) proj_loss: -0.6179 (-0.6184) time: 0.3648 data: 0.0003 [11-25 00:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:05:10 tlr: 1.8e-05 tnm: 0.65 Lm: 6.759 (6.659) Lt: 6.030 (5.910) Accm: 2.87 (3.06) Acct: 4.58 (4.84) proj_loss: -0.6013 (-0.6059) time: 0.3648 data: 0.0003 [11-25 00:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:05:10 tlr: 1.8e-05 tnm: 0.65 Lm: 6.679 (6.679) Lt: 5.988 (5.964) Accm: 2.96 (2.96) Acct: 4.44 (4.56) proj_loss: -0.6025 (-0.6020) time: 0.3648 data: 0.0003 [11-25 00:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:05:10 tlr: 1.8e-05 tnm: 0.65 Lm: 6.695 (6.647) Lt: 5.996 (5.948) Accm: 2.90 (2.81) Acct: 4.41 (4.33) proj_loss: -0.6172 (-0.6134) time: 0.3648 data: 0.0002 [11-25 00:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:02:35 tlr: 1.8e-05 tnm: 0.69 Lm: 6.702 (6.663) Lt: 6.004 (5.972) Accm: 2.87 (2.82) Acct: 4.37 (4.33) proj_loss: -0.6070 (-0.6085) time: 0.3641 data: 0.0003 [11-25 00:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:02:35 tlr: 1.8e-05 tnm: 0.69 Lm: 6.692 (6.650) Lt: 5.955 (5.903) Accm: 3.03 (3.09) Acct: 4.91 (4.94) proj_loss: -0.6020 (-0.6051) time: 0.3642 data: 0.0003 [11-25 00:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:02:35 tlr: 1.8e-05 tnm: 0.69 Lm: 6.659 (6.661) Lt: 5.949 (5.942) Accm: 2.96 (3.01) Acct: 4.66 (4.64) proj_loss: -0.6033 (-0.6037) time: 0.3642 data: 0.0003 [11-25 00:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:02:35 tlr: 1.8e-05 tnm: 0.69 Lm: 6.660 (6.663) Lt: 5.961 (5.972) Accm: 2.99 (3.00) Acct: 4.66 (4.61) proj_loss: -0.6137 (-0.6117) time: 0.3642 data: 0.0003 [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.68 Lm: 6.632 (6.624) Lt: 5.957 (5.919) Accm: 3.05 (3.10) Acct: 5.01 (4.80) proj_loss: -0.6095 (-0.6094) time: 0.4095 data: 0.0019 [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:10:22 (0.373 s / it) [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.68 Lm: 6.641 (6.649) Lt: 5.914 (5.905) Accm: 2.96 (3.07) Acct: 4.67 (4.89) proj_loss: -0.6027 (-0.6060) time: 0.4095 data: 0.0019 [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.68 Lm: 6.695 (6.667) Lt: 5.996 (5.972) Accm: 2.84 (2.80) Acct: 4.41 (4.38) proj_loss: -0.5987 (-0.6066) time: 0.4095 data: 0.0017 [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.68 Lm: 6.638 (6.634) Lt: 5.909 (5.907) Accm: 2.96 (3.11) Acct: 4.87 (4.79) proj_loss: -0.6040 (-0.6037) time: 0.4095 data: 0.0019 [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:10:22 (0.373 s / it) [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:10:22 (0.373 s / it) [11-25 00:54:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:10:22 (0.373 s / it) [11-25 00:54:59] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.936), Acc m&t: 3.07 4.79, Remain: 3:34:19, Finish: 2024-11-24 12:29 [11-25 00:54:59] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.936), Acc m&t: 3.07 4.79, Remain: 3:34:20, Finish: 2024-11-24 12:29 [11-25 00:54:59] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.936), Acc m&t: 3.07 4.79, Remain: 3:34:10, Finish: 2024-11-24 12:29 [11-25 00:54:59] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.633 (6.649), Lt: 5.913 (5.936), Acc m&t: 3.07 4.79, Remain: 3:34:12, Finish: 2024-11-24 12:29 [11-25 00:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:09:57 tlr: 1.8e-05 tnm: 0.67 Lm: 6.693 (6.693) Lt: 6.016 (6.016) Accm: 2.94 (2.94) Acct: 4.51 (4.51) proj_loss: -0.6023 (-0.6023) time: 0.3579 data: 0.0004 [11-25 00:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:09:58 tlr: 1.8e-05 tnm: 0.67 Lm: 6.739 (6.739) Lt: 6.053 (6.053) Accm: 2.88 (2.88) Acct: 4.67 (4.67) proj_loss: -0.6125 (-0.6125) time: 0.3587 data: 0.0004 [11-25 00:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:10:00 tlr: 1.8e-05 tnm: 0.67 Lm: 6.621 (6.621) Lt: 5.898 (5.898) Accm: 3.23 (3.23) Acct: 5.22 (5.22) proj_loss: -0.6223 (-0.6223) time: 0.3595 data: 0.0004 [11-25 00:55:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:09:59 tlr: 1.8e-05 tnm: 0.67 Lm: 6.650 (6.650) Lt: 5.917 (5.917) Accm: 3.02 (3.02) Acct: 4.72 (4.72) proj_loss: -0.5834 (-0.5834) time: 0.3592 data: 0.0004 [11-25 00:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:07:55 tlr: 1.8e-05 tnm: 0.66 Lm: 6.728 (6.728) Lt: 6.024 (6.024) Accm: 2.91 (2.91) Acct: 4.47 (4.47) proj_loss: -0.5925 (-0.5925) time: 0.3628 data: 0.0003 [11-25 00:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:07:55 tlr: 1.8e-05 tnm: 0.66 Lm: 6.714 (6.714) Lt: 6.023 (6.023) Accm: 2.90 (2.90) Acct: 4.69 (4.69) proj_loss: -0.6122 (-0.6122) time: 0.3628 data: 0.0003 [11-25 00:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:07:55 tlr: 1.8e-05 tnm: 0.66 Lm: 6.717 (6.717) Lt: 6.025 (6.025) Accm: 2.82 (2.82) Acct: 4.36 (4.36) proj_loss: -0.6045 (-0.6045) time: 0.3628 data: 0.0003 [11-25 00:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:07:55 tlr: 1.8e-05 tnm: 0.66 Lm: 6.619 (6.619) Lt: 5.913 (5.913) Accm: 3.11 (3.11) Acct: 5.06 (5.06) proj_loss: -0.6101 (-0.6101) time: 0.3628 data: 0.0003 [11-25 01:00:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:05:11 tlr: 1.7e-05 tnm: 0.68 Lm: 6.617 (6.613) Lt: 5.928 (5.919) Accm: 3.02 (3.08) Acct: 4.91 (4.85) proj_loss: -0.5980 (-0.6051) time: 0.3609 data: 0.0003 [11-25 01:00:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:05:11 tlr: 1.7e-05 tnm: 0.68 Lm: 6.688 (6.642) Lt: 5.992 (5.916) Accm: 2.92 (3.08) Acct: 4.72 (4.95) proj_loss: -0.6119 (-0.6094) time: 0.3609 data: 0.0003 [11-25 01:00:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:05:11 tlr: 1.7e-05 tnm: 0.68 Lm: 6.693 (6.665) Lt: 6.016 (5.959) Accm: 2.94 (2.94) Acct: 4.51 (4.63) proj_loss: -0.6023 (-0.6009) time: 0.3609 data: 0.0003 [11-25 01:00:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:05:11 tlr: 1.7e-05 tnm: 0.68 Lm: 6.650 (6.693) Lt: 5.931 (5.993) Accm: 2.97 (2.93) Acct: 4.55 (4.49) proj_loss: -0.6016 (-0.5971) time: 0.3609 data: 0.0002 [11-25 01:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:02:35 tlr: 1.7e-05 tnm: 0.67 Lm: 6.636 (6.667) Lt: 5.924 (5.971) Accm: 2.99 (2.95) Acct: 4.51 (4.49) proj_loss: -0.6039 (-0.6020) time: 0.4077 data: 0.0003 [11-25 01:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:02:35 tlr: 1.7e-05 tnm: 0.67 Lm: 6.619 (6.650) Lt: 5.930 (5.966) Accm: 3.01 (2.94) Acct: 4.67 (4.62) proj_loss: -0.6101 (-0.6133) time: 0.4077 data: 0.0002 [11-25 01:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:02:35 tlr: 1.7e-05 tnm: 0.67 Lm: 6.645 (6.648) Lt: 5.929 (5.929) Accm: 3.04 (2.99) Acct: 4.71 (4.70) proj_loss: -0.6045 (-0.6064) time: 0.4077 data: 0.0003 [11-25 01:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:02:35 tlr: 1.7e-05 tnm: 0.67 Lm: 6.686 (6.652) Lt: 5.980 (5.929) Accm: 2.90 (3.02) Acct: 4.69 (4.81) proj_loss: -0.6079 (-0.6068) time: 0.4077 data: 0.0003 [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.66 Lm: 6.622 (6.655) Lt: 5.931 (5.963) Accm: 3.02 (2.97) Acct: 4.48 (4.47) proj_loss: -0.6052 (-0.6027) time: 0.3637 data: 0.0017 [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.66 Lm: 6.621 (6.644) Lt: 5.928 (5.953) Accm: 3.02 (2.98) Acct: 4.87 (4.67) proj_loss: -0.6050 (-0.6117) time: 0.3637 data: 0.0017 [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.66 Lm: 6.684 (6.652) Lt: 5.968 (5.932) Accm: 2.92 (3.04) Acct: 4.72 (4.87) proj_loss: -0.6063 (-0.6067) time: 0.3637 data: 0.0019 [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.66 Lm: 6.658 (6.650) Lt: 5.926 (5.929) Accm: 2.94 (2.97) Acct: 4.51 (4.65) proj_loss: -0.6068 (-0.6095) time: 0.3637 data: 0.0016 [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:10:16 (0.369 s / it) [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:10:16 (0.369 s / it) [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:10:16 (0.369 s / it) [11-25 01:05:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:10:16 (0.369 s / it) [11-25 01:07:36] (home/user/VAR/trainer.py, line 114)=> FID: 3.5256520677828576 [11-25 01:07:37] (/home/user/VAR/train.py , line 259)=> [*] [ep329] (val 50000) Lm: 6.6499, Lt: 5.9337, Acc m&t: 3.01 4.72, Val cost: 140.78s [11-25 01:07:37] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-25 01:07:52] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.633 (6.650), Lt: 5.913 (5.934), Acc m&t: 3.07 4.79, Remain: 3:24:00, Finish: 2024-11-24 12:29 [11-25 01:07:52] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.633 (6.650), Lt: 5.913 (5.934), Acc m&t: 3.07 4.79, Remain: 3:23:50, Finish: 2024-11-24 12:29 [11-25 01:07:52] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.633 (6.650), Lt: 5.913 (5.934), Acc m&t: 3.07 4.79, Remain: 3:23:48, Finish: 2024-11-24 12:29 [11-25 01:07:52] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.633 (6.650), Lt: 5.913 (5.934), Acc m&t: 3.07 4.79, Remain: 3:23:44, Finish: 2024-11-24 12:28 [11-25 01:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:09:53 tlr: 1.7e-05 tnm: 0.66 Lm: 6.731 (6.731) Lt: 6.063 (6.063) Accm: 2.88 (2.88) Acct: 4.75 (4.75) proj_loss: -0.6162 (-0.6162) time: 0.3556 data: 0.0003 [11-25 01:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:09:50 tlr: 1.7e-05 tnm: 0.66 Lm: 6.583 (6.583) Lt: 5.906 (5.906) Accm: 2.93 (2.93) Acct: 4.46 (4.46) proj_loss: -0.6046 (-0.6046) time: 0.3538 data: 0.0004 [11-25 01:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:09:51 tlr: 1.7e-05 tnm: 0.66 Lm: 6.853 (6.853) Lt: 6.180 (6.180) Accm: 2.47 (2.47) Acct: 3.68 (3.68) proj_loss: -0.5933 (-0.5933) time: 0.3543 data: 0.0004 [11-25 01:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:09:50 tlr: 1.7e-05 tnm: 0.66 Lm: 6.674 (6.674) Lt: 5.948 (5.948) Accm: 2.96 (2.96) Acct: 4.68 (4.68) proj_loss: -0.6198 (-0.6198) time: 0.3537 data: 0.0004 [11-25 01:10:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:07:33 tlr: 1.7e-05 tnm: 0.67 Lm: 6.700 (6.700) Lt: 5.972 (5.972) Accm: 2.76 (2.76) Acct: 4.34 (4.34) proj_loss: -0.6130 (-0.6130) time: 0.3652 data: 0.0003 [11-25 01:10:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:07:33 tlr: 1.7e-05 tnm: 0.67 Lm: 6.745 (6.745) Lt: 6.069 (6.069) Accm: 2.71 (2.71) Acct: 4.17 (4.17) proj_loss: -0.6056 (-0.6056) time: 0.3652 data: 0.0003 [11-25 01:10:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:07:33 tlr: 1.7e-05 tnm: 0.67 Lm: 6.578 (6.578) Lt: 5.894 (5.894) Accm: 3.02 (3.02) Acct: 4.64 (4.64) proj_loss: -0.6130 (-0.6130) time: 0.3652 data: 0.0002 [11-25 01:10:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:07:33 tlr: 1.7e-05 tnm: 0.67 Lm: 6.637 (6.637) Lt: 5.920 (5.920) Accm: 3.14 (3.14) Acct: 5.04 (5.04) proj_loss: -0.6110 (-0.6110) time: 0.3652 data: 0.0002 [11-25 01:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:05:02 tlr: 1.7e-05 tnm: 0.69 Lm: 6.693 (6.656) Lt: 6.003 (5.948) Accm: 3.00 (3.09) Acct: 4.84 (4.97) proj_loss: -0.6059 (-0.6093) time: 0.3616 data: 0.0002 [11-25 01:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:05:02 tlr: 1.7e-05 tnm: 0.69 Lm: 6.583 (6.607) Lt: 5.906 (5.918) Accm: 2.93 (2.94) Acct: 4.46 (4.52) proj_loss: -0.6135 (-0.6132) time: 0.3616 data: 0.0003 [11-25 01:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:05:02 tlr: 1.7e-05 tnm: 0.69 Lm: 6.725 (6.715) Lt: 5.996 (5.993) Accm: 2.67 (2.73) Acct: 4.15 (4.28) proj_loss: -0.6061 (-0.6065) time: 0.3616 data: 0.0003 [11-25 01:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:05:02 tlr: 1.7e-05 tnm: 0.69 Lm: 6.636 (6.673) Lt: 5.958 (5.977) Accm: 2.94 (2.86) Acct: 4.65 (4.42) proj_loss: -0.6055 (-0.6056) time: 0.3616 data: 0.0003 [11-25 01:15:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:02:31 tlr: 1.6e-05 tnm: 0.66 Lm: 6.584 (6.616) Lt: 5.876 (5.888) Accm: 3.05 (2.99) Acct: 4.79 (4.62) proj_loss: -0.6030 (-0.6043) time: 0.3630 data: 0.0003 [11-25 01:15:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:02:31 tlr: 1.6e-05 tnm: 0.66 Lm: 6.625 (6.635) Lt: 5.935 (5.947) Accm: 2.91 (2.93) Acct: 4.41 (4.48) proj_loss: -0.6104 (-0.6117) time: 0.3630 data: 0.0003 [11-25 01:15:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:02:31 tlr: 1.6e-05 tnm: 0.66 Lm: 6.659 (6.648) Lt: 5.973 (5.947) Accm: 3.04 (3.09) Acct: 4.88 (4.96) proj_loss: -0.6088 (-0.6099) time: 0.3630 data: 0.0003 [11-25 01:15:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:02:31 tlr: 1.6e-05 tnm: 0.66 Lm: 6.700 (6.688) Lt: 5.972 (5.954) Accm: 2.82 (2.81) Acct: 4.42 (4.38) proj_loss: -0.6055 (-0.6061) time: 0.3630 data: 0.0004 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.710 (6.693) Lt: 5.985 (5.960) Accm: 2.76 (2.80) Acct: 4.17 (4.34) proj_loss: -0.6061 (-0.6068) time: 0.3669 data: 0.0019 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.667 (6.668) Lt: 5.965 (5.977) Accm: 2.90 (2.83) Acct: 4.36 (4.35) proj_loss: -0.6073 (-0.6062) time: 0.3669 data: 0.0016 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.636 (6.629) Lt: 5.958 (5.909) Accm: 3.02 (2.99) Acct: 4.72 (4.64) proj_loss: -0.6055 (-0.6049) time: 0.3669 data: 0.0016 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.625 (6.628) Lt: 5.943 (5.913) Accm: 3.07 (3.16) Acct: 4.92 (5.02) proj_loss: -0.6059 (-0.6065) time: 0.3669 data: 0.0020 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:18:01] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 3:14:13, Finish: 2024-11-24 12:32 [11-25 01:18:01] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 3:14:13, Finish: 2024-11-24 12:32 [11-25 01:18:01] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 3:14:11, Finish: 2024-11-24 12:32 [11-25 01:18:01] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.928), Acc m&t: 3.07 4.79, Remain: 3:14:13, Finish: 2024-11-24 12:32 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:09:29 tlr: 1.6e-05 tnm: 0.68 Lm: 6.685 (6.685) Lt: 5.993 (5.993) Accm: 2.99 (2.99) Acct: 4.42 (4.42) proj_loss: -0.6470 (-0.6470) time: 0.3410 data: 0.0004 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:09:28 tlr: 1.6e-05 tnm: 0.68 Lm: 6.661 (6.661) Lt: 5.949 (5.949) Accm: 2.80 (2.80) Acct: 4.32 (4.32) proj_loss: -0.6079 (-0.6079) time: 0.3408 data: 0.0004 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:09:29 tlr: 1.6e-05 tnm: 0.68 Lm: 6.324 (6.324) Lt: 5.560 (5.560) Accm: 3.89 (3.89) Acct: 5.77 (5.77) proj_loss: -0.6242 (-0.6242) time: 0.3414 data: 0.0004 [11-25 01:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:09:28 tlr: 1.6e-05 tnm: 0.68 Lm: 6.681 (6.681) Lt: 6.007 (6.007) Accm: 2.85 (2.85) Acct: 4.30 (4.30) proj_loss: -0.6055 (-0.6055) time: 0.3409 data: 0.0004 [11-25 01:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:07:41 tlr: 1.6e-05 tnm: 0.68 Lm: 6.644 (6.644) Lt: 5.925 (5.925) Accm: 3.08 (3.08) Acct: 4.89 (4.89) proj_loss: -0.6024 (-0.6024) time: 0.3626 data: 0.0003 [11-25 01:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:07:41 tlr: 1.6e-05 tnm: 0.68 Lm: 6.611 (6.611) Lt: 5.909 (5.909) Accm: 3.20 (3.20) Acct: 4.87 (4.87) proj_loss: -0.6398 (-0.6398) time: 0.3626 data: 0.0003 [11-25 01:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:07:41 tlr: 1.6e-05 tnm: 0.68 Lm: 6.679 (6.679) Lt: 5.987 (5.987) Accm: 2.83 (2.83) Acct: 4.30 (4.30) proj_loss: -0.6126 (-0.6126) time: 0.3626 data: 0.0003 [11-25 01:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:07:41 tlr: 1.6e-05 tnm: 0.68 Lm: 6.454 (6.454) Lt: 5.721 (5.721) Accm: 3.54 (3.54) Acct: 5.30 (5.30) proj_loss: -0.6212 (-0.6212) time: 0.3626 data: 0.0003 [11-25 01:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:05:10 tlr: 1.6e-05 tnm: 0.67 Lm: 6.584 (6.523) Lt: 5.881 (5.805) Accm: 3.19 (3.31) Acct: 4.84 (4.94) proj_loss: -0.6182 (-0.6190) time: 0.4110 data: 0.0003 [11-25 01:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:05:10 tlr: 1.6e-05 tnm: 0.67 Lm: 6.661 (6.650) Lt: 5.949 (5.951) Accm: 2.86 (3.00) Acct: 4.32 (4.58) proj_loss: -0.6151 (-0.6134) time: 0.4110 data: 0.0003 [11-25 01:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:05:11 tlr: 1.6e-05 tnm: 0.67 Lm: 6.685 (6.670) Lt: 5.993 (5.974) Accm: 2.99 (3.03) Acct: 4.42 (4.64) proj_loss: -0.6327 (-0.6284) time: 0.4110 data: 0.0003 [11-25 01:23:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:05:11 tlr: 1.6e-05 tnm: 0.67 Lm: 6.608 (6.620) Lt: 5.882 (5.911) Accm: 3.28 (3.15) Acct: 5.08 (4.95) proj_loss: -0.6055 (-0.6050) time: 0.4110 data: 0.0003 [11-25 01:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:02:35 tlr: 1.6e-05 tnm: 0.66 Lm: 6.666 (6.655) Lt: 5.977 (5.964) Accm: 3.02 (3.05) Acct: 4.57 (4.64) proj_loss: -0.6162 (-0.6156) time: 0.3634 data: 0.0003 [11-25 01:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:02:35 tlr: 1.6e-05 tnm: 0.66 Lm: 6.622 (6.593) Lt: 5.928 (5.886) Accm: 3.03 (3.15) Acct: 4.64 (4.81) proj_loss: -0.6185 (-0.6190) time: 0.3633 data: 0.0003 [11-25 01:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:02:35 tlr: 1.6e-05 tnm: 0.66 Lm: 6.644 (6.667) Lt: 5.944 (5.950) Accm: 3.06 (3.01) Acct: 4.69 (4.76) proj_loss: -0.6024 (-0.6007) time: 0.3633 data: 0.0003 [11-25 01:25:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:02:35 tlr: 1.6e-05 tnm: 0.66 Lm: 6.686 (6.674) Lt: 5.971 (5.968) Accm: 2.99 (3.02) Acct: 4.53 (4.64) proj_loss: -0.6191 (-0.6212) time: 0.3634 data: 0.0003 [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.685 (6.653) Lt: 5.948 (5.946) Accm: 2.99 (3.09) Acct: 4.63 (4.77) proj_loss: -0.6268 (-0.6224) time: 0.3621 data: 0.0017 [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:10:25 (0.375 s / it) [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.661 (6.633) Lt: 5.949 (5.930) Accm: 3.18 (3.08) Acct: 4.73 (4.66) proj_loss: -0.6151 (-0.6112) time: 0.3621 data: 0.0016 [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.584 (6.587) Lt: 5.881 (5.869) Accm: 3.19 (3.17) Acct: 4.84 (4.92) proj_loss: -0.6182 (-0.6144) time: 0.3621 data: 0.0017 [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.67 Lm: 6.608 (6.650) Lt: 5.882 (5.918) Accm: 3.28 (3.08) Acct: 5.08 (4.90) proj_loss: -0.6055 (-0.6020) time: 0.3621 data: 0.0018 [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:10:25 (0.375 s / it) [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:10:25 (0.375 s / it) [11-25 01:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:10:25 (0.375 s / it) [11-25 01:28:26] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.633 (6.659), Lt: 5.913 (5.946), Acc m&t: 3.07 4.79, Remain: 3:02:30, Finish: 2024-11-24 12:30 [11-25 01:28:26] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.633 (6.659), Lt: 5.913 (5.946), Acc m&t: 3.07 4.79, Remain: 3:02:28, Finish: 2024-11-24 12:30 [11-25 01:28:26] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.633 (6.659), Lt: 5.913 (5.946), Acc m&t: 3.07 4.79, Remain: 3:02:28, Finish: 2024-11-24 12:30 [11-25 01:28:26] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.633 (6.659), Lt: 5.913 (5.946), Acc m&t: 3.07 4.79, Remain: 3:02:30, Finish: 2024-11-24 12:30 [11-25 01:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:09:37 tlr: 1.6e-05 tnm: 0.67 Lm: 6.581 (6.581) Lt: 5.829 (5.829) Accm: 3.52 (3.52) Acct: 5.94 (5.94) proj_loss: -0.6039 (-0.6039) time: 0.3461 data: 0.0004 [11-25 01:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:09:38 tlr: 1.6e-05 tnm: 0.67 Lm: 6.676 (6.676) Lt: 5.953 (5.953) Accm: 3.04 (3.04) Acct: 5.01 (5.01) proj_loss: -0.6164 (-0.6164) time: 0.3464 data: 0.0003 [11-25 01:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:09:36 tlr: 1.6e-05 tnm: 0.67 Lm: 6.607 (6.607) Lt: 5.951 (5.951) Accm: 3.22 (3.22) Acct: 4.68 (4.68) proj_loss: -0.6361 (-0.6361) time: 0.3453 data: 0.0004 [11-25 01:28:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:09:38 tlr: 1.6e-05 tnm: 0.67 Lm: 6.707 (6.707) Lt: 5.979 (5.979) Accm: 2.81 (2.81) Acct: 4.20 (4.20) proj_loss: -0.5945 (-0.5945) time: 0.3468 data: 0.0004 [11-25 01:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:07:45 tlr: 1.5e-05 tnm: 0.67 Lm: 6.676 (6.676) Lt: 5.968 (5.968) Accm: 2.84 (2.84) Acct: 4.37 (4.37) proj_loss: -0.6013 (-0.6013) time: 0.3616 data: 0.0003 [11-25 01:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:07:45 tlr: 1.5e-05 tnm: 0.67 Lm: 6.595 (6.595) Lt: 5.936 (5.936) Accm: 3.17 (3.17) Acct: 4.70 (4.70) proj_loss: -0.6336 (-0.6336) time: 0.3616 data: 0.0003 [11-25 01:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:07:45 tlr: 1.5e-05 tnm: 0.67 Lm: 6.620 (6.620) Lt: 5.867 (5.867) Accm: 3.11 (3.11) Acct: 5.06 (5.06) proj_loss: -0.6095 (-0.6095) time: 0.3616 data: 0.0003 [11-25 01:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:07:45 tlr: 1.5e-05 tnm: 0.67 Lm: 6.667 (6.667) Lt: 5.923 (5.923) Accm: 3.13 (3.13) Acct: 5.26 (5.26) proj_loss: -0.6019 (-0.6019) time: 0.3616 data: 0.0003 [11-25 01:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:05:08 tlr: 1.5e-05 tnm: 0.67 Lm: 6.698 (6.677) Lt: 5.978 (5.941) Accm: 2.74 (2.95) Acct: 4.58 (4.84) proj_loss: -0.6000 (-0.6008) time: 0.3648 data: 0.0003 [11-25 01:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:05:08 tlr: 1.5e-05 tnm: 0.67 Lm: 6.676 (6.694) Lt: 5.953 (5.953) Accm: 3.04 (2.91) Acct: 5.01 (4.68) proj_loss: -0.6025 (-0.5987) time: 0.3648 data: 0.0003 [11-25 01:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:05:08 tlr: 1.5e-05 tnm: 0.67 Lm: 6.646 (6.645) Lt: 5.958 (5.939) Accm: 2.86 (2.96) Acct: 4.55 (4.52) proj_loss: -0.6082 (-0.6069) time: 0.3648 data: 0.0002 [11-25 01:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:05:08 tlr: 1.5e-05 tnm: 0.67 Lm: 6.599 (6.597) Lt: 5.921 (5.913) Accm: 3.22 (3.31) Acct: 4.72 (4.99) proj_loss: -0.6310 (-0.6281) time: 0.3648 data: 0.0003 [11-25 01:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:02:33 tlr: 1.5e-05 tnm: 0.67 Lm: 6.676 (6.680) Lt: 5.968 (5.976) Accm: 2.84 (2.82) Acct: 4.37 (4.39) proj_loss: -0.6054 (-0.6059) time: 0.3629 data: 0.0002 [11-25 01:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:02:33 tlr: 1.5e-05 tnm: 0.67 Lm: 6.620 (6.649) Lt: 5.867 (5.908) Accm: 3.11 (2.99) Acct: 5.06 (4.84) proj_loss: -0.6067 (-0.6018) time: 0.3629 data: 0.0003 [11-25 01:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:02:33 tlr: 1.5e-05 tnm: 0.67 Lm: 6.603 (6.633) Lt: 5.936 (5.966) Accm: 3.17 (3.13) Acct: 4.70 (4.67) proj_loss: -0.6241 (-0.6219) time: 0.3629 data: 0.0003 [11-25 01:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:02:33 tlr: 1.5e-05 tnm: 0.67 Lm: 6.640 (6.633) Lt: 5.903 (5.899) Accm: 3.13 (3.11) Acct: 4.98 (4.98) proj_loss: -0.6009 (-0.6011) time: 0.3629 data: 0.0003 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.66 Lm: 6.698 (6.665) Lt: 5.978 (5.941) Accm: 2.74 (3.01) Acct: 4.58 (4.79) proj_loss: -0.6000 (-0.5999) time: 0.3631 data: 0.0015 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:10:13 (0.367 s / it) [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.66 Lm: 6.616 (6.643) Lt: 5.953 (5.918) Accm: 3.18 (3.03) Acct: 5.01 (4.78) proj_loss: -0.6109 (-0.6038) time: 0.3631 data: 0.0019 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.66 Lm: 6.607 (6.643) Lt: 5.921 (5.950) Accm: 3.13 (3.13) Acct: 4.72 (4.69) proj_loss: -0.6172 (-0.6165) time: 0.3631 data: 0.0016 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.66 Lm: 6.646 (6.670) Lt: 5.958 (5.958) Accm: 2.86 (2.90) Acct: 4.55 (4.56) proj_loss: -0.6027 (-0.6045) time: 0.3631 data: 0.0017 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:10:13 (0.367 s / it) [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:10:13 (0.367 s / it) [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:10:13 (0.367 s / it) [11-25 01:38:40] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:53:01, Finish: 2024-11-24 12:31 [11-25 01:38:40] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:52:48, Finish: 2024-11-24 12:31 [11-25 01:38:40] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:52:46, Finish: 2024-11-24 12:31 [11-25 01:38:40] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:52:49, Finish: 2024-11-24 12:31 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:09:41 tlr: 1.5e-05 tnm: 0.69 Lm: 6.440 (6.440) Lt: 5.763 (5.763) Accm: 3.70 (3.70) Acct: 5.60 (5.60) proj_loss: -0.6136 (-0.6136) time: 0.3484 data: 0.0003 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:09:49 tlr: 1.5e-05 tnm: 0.69 Lm: 6.708 (6.708) Lt: 6.010 (6.010) Accm: 2.67 (2.67) Acct: 4.15 (4.15) proj_loss: -0.6107 (-0.6107) time: 0.3534 data: 0.0003 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:09:50 tlr: 1.5e-05 tnm: 0.69 Lm: 6.548 (6.548) Lt: 5.852 (5.852) Accm: 3.00 (3.00) Acct: 4.44 (4.44) proj_loss: -0.6202 (-0.6202) time: 0.3536 data: 0.0004 [11-25 01:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:09:48 tlr: 1.5e-05 tnm: 0.69 Lm: 6.719 (6.719) Lt: 6.052 (6.052) Accm: 2.90 (2.90) Acct: 4.32 (4.32) proj_loss: -0.6118 (-0.6118) time: 0.3529 data: 0.0004 [11-25 01:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:07:33 tlr: 1.5e-05 tnm: 0.68 Lm: 6.669 (6.669) Lt: 5.964 (5.964) Accm: 2.92 (2.92) Acct: 4.60 (4.60) proj_loss: -0.6112 (-0.6112) time: 0.3621 data: 0.0003 [11-25 01:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:07:33 tlr: 1.5e-05 tnm: 0.68 Lm: 6.620 (6.620) Lt: 5.898 (5.898) Accm: 3.02 (3.02) Acct: 4.61 (4.61) proj_loss: -0.6032 (-0.6032) time: 0.3621 data: 0.0003 [11-25 01:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:07:33 tlr: 1.5e-05 tnm: 0.68 Lm: 6.595 (6.595) Lt: 5.902 (5.902) Accm: 3.35 (3.35) Acct: 5.17 (5.17) proj_loss: -0.6070 (-0.6070) time: 0.3621 data: 0.0003 [11-25 01:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:07:33 tlr: 1.5e-05 tnm: 0.68 Lm: 6.678 (6.678) Lt: 5.947 (5.947) Accm: 2.96 (2.96) Acct: 4.83 (4.83) proj_loss: -0.5961 (-0.5961) time: 0.3621 data: 0.0003 [11-25 01:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:05:02 tlr: 1.4e-05 tnm: 0.69 Lm: 6.590 (6.610) Lt: 5.869 (5.888) Accm: 3.03 (3.06) Acct: 4.77 (4.70) proj_loss: -0.6096 (-0.6054) time: 0.3643 data: 0.0003 [11-25 01:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:05:02 tlr: 1.4e-05 tnm: 0.69 Lm: 6.732 (6.641) Lt: 5.929 (5.911) Accm: 3.00 (3.18) Acct: 4.87 (5.07) proj_loss: -0.6003 (-0.5984) time: 0.3643 data: 0.0003 [11-25 01:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:05:02 tlr: 1.4e-05 tnm: 0.69 Lm: 6.619 (6.642) Lt: 5.891 (5.940) Accm: 2.94 (2.94) Acct: 4.68 (4.63) proj_loss: -0.6118 (-0.6187) time: 0.3643 data: 0.0003 [11-25 01:43:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:05:02 tlr: 1.4e-05 tnm: 0.69 Lm: 6.708 (6.706) Lt: 6.010 (5.993) Accm: 2.67 (2.86) Acct: 4.15 (4.59) proj_loss: -0.6107 (-0.6041) time: 0.3643 data: 0.0003 [11-25 01:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:02:32 tlr: 1.4e-05 tnm: 0.68 Lm: 6.678 (6.692) Lt: 5.969 (5.977) Accm: 2.83 (2.90) Acct: 4.37 (4.59) proj_loss: -0.6034 (-0.6021) time: 0.3632 data: 0.0003 [11-25 01:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:02:32 tlr: 1.4e-05 tnm: 0.68 Lm: 6.660 (6.628) Lt: 5.890 (5.896) Accm: 3.04 (3.15) Acct: 4.86 (5.01) proj_loss: -0.6004 (-0.5989) time: 0.3632 data: 0.0003 [11-25 01:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:02:32 tlr: 1.4e-05 tnm: 0.68 Lm: 6.586 (6.603) Lt: 5.862 (5.880) Accm: 3.10 (3.10) Acct: 4.83 (4.77) proj_loss: -0.6069 (-0.6051) time: 0.3632 data: 0.0003 [11-25 01:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:02:32 tlr: 1.4e-05 tnm: 0.68 Lm: 6.661 (6.657) Lt: 5.926 (5.945) Accm: 2.94 (2.93) Acct: 4.59 (4.59) proj_loss: -0.6112 (-0.6137) time: 0.3632 data: 0.0003 [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.68 Lm: 6.642 (6.654) Lt: 5.891 (5.930) Accm: 2.94 (2.96) Acct: 4.68 (4.65) proj_loss: -0.6106 (-0.6130) time: 0.3622 data: 0.0016 [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.68 Lm: 6.583 (6.575) Lt: 5.855 (5.843) Accm: 3.16 (3.19) Acct: 4.89 (4.95) proj_loss: -0.6096 (-0.6066) time: 0.3622 data: 0.0019 [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.68 Lm: 6.685 (6.639) Lt: 5.929 (5.912) Accm: 3.07 (3.14) Acct: 4.86 (4.96) proj_loss: -0.6003 (-0.5960) time: 0.3621 data: 0.0017 [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.68 Lm: 6.649 (6.671) Lt: 5.929 (5.950) Accm: 2.93 (2.90) Acct: 4.60 (4.61) proj_loss: -0.6073 (-0.6031) time: 0.3622 data: 0.0019 [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:48:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:10:09 (0.365 s / it) [11-25 01:48:49] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.633 (6.643), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 2:42:17, Finish: 2024-11-24 12:31 [11-25 01:48:49] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.633 (6.643), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 2:42:16, Finish: 2024-11-24 12:31 [11-25 01:48:49] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.633 (6.643), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 2:42:17, Finish: 2024-11-24 12:31 [11-25 01:48:49] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.633 (6.643), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 2:42:14, Finish: 2024-11-24 12:31 [11-25 01:48:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:10:19 tlr: 1.4e-05 tnm: 0.68 Lm: 6.610 (6.610) Lt: 5.888 (5.888) Accm: 3.25 (3.25) Acct: 4.61 (4.61) proj_loss: -0.5889 (-0.5889) time: 0.3710 data: 0.0003 [11-25 01:48:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:10:18 tlr: 1.4e-05 tnm: 0.68 Lm: 6.632 (6.632) Lt: 5.891 (5.891) Accm: 3.04 (3.04) Acct: 4.82 (4.82) proj_loss: -0.6209 (-0.6209) time: 0.3706 data: 0.0004 [11-25 01:48:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:10:17 tlr: 1.4e-05 tnm: 0.68 Lm: 6.454 (6.454) Lt: 5.733 (5.733) Accm: 3.53 (3.53) Acct: 5.41 (5.41) proj_loss: -0.5931 (-0.5931) time: 0.3701 data: 0.0004 [11-25 01:48:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:10:19 tlr: 1.4e-05 tnm: 0.68 Lm: 6.620 (6.620) Lt: 5.871 (5.871) Accm: 2.93 (2.93) Acct: 4.75 (4.75) proj_loss: -0.6049 (-0.6049) time: 0.3714 data: 0.0004 [11-25 01:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:07:38 tlr: 1.4e-05 tnm: 0.67 Lm: 6.616 (6.616) Lt: 5.872 (5.872) Accm: 2.92 (2.92) Acct: 4.66 (4.66) proj_loss: -0.5974 (-0.5974) time: 0.3645 data: 0.0002 [11-25 01:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:07:38 tlr: 1.4e-05 tnm: 0.67 Lm: 6.638 (6.638) Lt: 5.913 (5.913) Accm: 3.10 (3.10) Acct: 4.87 (4.87) proj_loss: -0.6107 (-0.6107) time: 0.3645 data: 0.0003 [11-25 01:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:07:38 tlr: 1.4e-05 tnm: 0.67 Lm: 6.581 (6.581) Lt: 5.889 (5.889) Accm: 3.27 (3.27) Acct: 5.01 (5.01) proj_loss: -0.6026 (-0.6026) time: 0.3645 data: 0.0003 [11-25 01:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:07:38 tlr: 1.4e-05 tnm: 0.67 Lm: 6.570 (6.570) Lt: 5.828 (5.828) Accm: 3.21 (3.21) Acct: 4.90 (4.90) proj_loss: -0.5980 (-0.5980) time: 0.3645 data: 0.0003 [11-25 01:53:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:05:09 tlr: 1.4e-05 tnm: 0.69 Lm: 6.592 (6.577) Lt: 5.866 (5.840) Accm: 3.18 (3.13) Acct: 4.89 (4.90) proj_loss: -0.6043 (-0.6001) time: 0.3625 data: 0.0003 [11-25 01:53:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:05:09 tlr: 1.4e-05 tnm: 0.69 Lm: 6.613 (6.546) Lt: 5.871 (5.782) Accm: 2.93 (3.20) Acct: 4.75 (5.13) proj_loss: -0.6049 (-0.6063) time: 0.3625 data: 0.0002 [11-25 01:53:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:05:09 tlr: 1.4e-05 tnm: 0.69 Lm: 6.663 (6.608) Lt: 5.942 (5.906) Accm: 3.02 (3.14) Acct: 4.68 (4.90) proj_loss: -0.6101 (-0.6051) time: 0.3625 data: 0.0003 [11-25 01:53:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:05:09 tlr: 1.4e-05 tnm: 0.69 Lm: 6.644 (6.662) Lt: 5.934 (5.930) Accm: 3.04 (3.02) Acct: 4.82 (4.78) proj_loss: -0.6004 (-0.6019) time: 0.3625 data: 0.0003 [11-25 01:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:02:35 tlr: 1.4e-05 tnm: 0.68 Lm: 6.638 (6.633) Lt: 5.913 (5.895) Accm: 3.07 (3.04) Acct: 4.85 (4.80) proj_loss: -0.5961 (-0.5993) time: 0.3659 data: 0.0004 [11-25 01:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:02:35 tlr: 1.4e-05 tnm: 0.68 Lm: 6.515 (6.514) Lt: 5.755 (5.746) Accm: 3.35 (3.46) Acct: 5.41 (5.51) proj_loss: -0.6089 (-0.6079) time: 0.3658 data: 0.0003 [11-25 01:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:02:35 tlr: 1.4e-05 tnm: 0.68 Lm: 6.683 (6.632) Lt: 5.959 (5.924) Accm: 2.96 (3.08) Acct: 4.65 (4.82) proj_loss: -0.6016 (-0.6013) time: 0.3659 data: 0.0003 [11-25 01:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:02:35 tlr: 1.4e-05 tnm: 0.68 Lm: 6.601 (6.623) Lt: 5.877 (5.909) Accm: 3.08 (3.00) Acct: 4.75 (4.68) proj_loss: -0.6057 (-0.6078) time: 0.3659 data: 0.0002 [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.70 Lm: 6.592 (6.594) Lt: 5.866 (5.876) Accm: 3.18 (3.12) Acct: 4.89 (4.88) proj_loss: -0.6071 (-0.6115) time: 0.3643 data: 0.0015 [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:10:23 (0.374 s / it) [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.70 Lm: 6.632 (6.629) Lt: 5.904 (5.897) Accm: 3.10 (3.09) Acct: 4.87 (4.85) proj_loss: -0.6004 (-0.6045) time: 0.3643 data: 0.0016 [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.70 Lm: 6.663 (6.626) Lt: 5.942 (5.915) Accm: 2.95 (3.05) Acct: 4.61 (4.78) proj_loss: -0.6101 (-0.6033) time: 0.3643 data: 0.0016 [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.70 Lm: 6.613 (6.540) Lt: 5.871 (5.787) Accm: 3.18 (3.40) Acct: 5.04 (5.42) proj_loss: -0.6129 (-0.6095) time: 0.3643 data: 0.0019 [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:10:23 (0.374 s / it) [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:10:23 (0.374 s / it) [11-25 01:59:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:10:23 (0.374 s / it) [11-25 01:59:13] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.633 (6.637), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:33:02, Finish: 2024-11-24 12:32 [11-25 01:59:13] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.633 (6.637), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:32:58, Finish: 2024-11-24 12:32 [11-25 01:59:13] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.633 (6.637), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:33:00, Finish: 2024-11-24 12:32 [11-25 01:59:13] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.633 (6.637), Lt: 5.913 (5.922), Acc m&t: 3.07 4.81, Remain: 2:32:56, Finish: 2024-11-24 12:32 [11-25 01:59:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:09:56 tlr: 1.3e-05 tnm: 0.69 Lm: 6.617 (6.617) Lt: 5.899 (5.899) Accm: 3.23 (3.23) Acct: 5.03 (5.03) proj_loss: -0.6167 (-0.6167) time: 0.3571 data: 0.0003 [11-25 01:59:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:10:02 tlr: 1.3e-05 tnm: 0.69 Lm: 6.588 (6.588) Lt: 5.858 (5.858) Accm: 3.13 (3.13) Acct: 5.04 (5.04) proj_loss: -0.6053 (-0.6053) time: 0.3610 data: 0.0004 [11-25 01:59:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:09:49 tlr: 1.3e-05 tnm: 0.69 Lm: 6.699 (6.699) Lt: 5.936 (5.936) Accm: 2.93 (2.93) Acct: 4.72 (4.72) proj_loss: -0.6035 (-0.6035) time: 0.3535 data: 0.0004 [11-25 01:59:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:09:57 tlr: 1.3e-05 tnm: 0.69 Lm: 6.703 (6.703) Lt: 5.901 (5.901) Accm: 3.09 (3.09) Acct: 5.29 (5.29) proj_loss: -0.5732 (-0.5732) time: 0.3579 data: 0.0004 [11-25 02:01:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:07:43 tlr: 1.3e-05 tnm: 0.68 Lm: 6.706 (6.706) Lt: 5.939 (5.939) Accm: 3.02 (3.02) Acct: 5.03 (5.03) proj_loss: -0.5854 (-0.5854) time: 0.3638 data: 0.0003 [11-25 02:01:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:07:43 tlr: 1.3e-05 tnm: 0.68 Lm: 6.749 (6.749) Lt: 6.047 (6.047) Accm: 2.66 (2.66) Acct: 4.25 (4.25) proj_loss: -0.6035 (-0.6035) time: 0.3639 data: 0.0003 [11-25 02:01:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:07:43 tlr: 1.3e-05 tnm: 0.68 Lm: 6.585 (6.585) Lt: 5.875 (5.875) Accm: 3.27 (3.27) Acct: 5.08 (5.08) proj_loss: -0.6177 (-0.6177) time: 0.3639 data: 0.0003 [11-25 02:01:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:07:43 tlr: 1.3e-05 tnm: 0.68 Lm: 6.616 (6.616) Lt: 5.896 (5.896) Accm: 3.24 (3.24) Acct: 4.95 (4.95) proj_loss: -0.6053 (-0.6053) time: 0.3638 data: 0.0003 [11-25 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:05:07 tlr: 1.3e-05 tnm: 0.68 Lm: 6.588 (6.606) Lt: 5.858 (5.875) Accm: 3.13 (3.18) Acct: 4.89 (4.93) proj_loss: -0.6053 (-0.6064) time: 0.3630 data: 0.0003 [11-25 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:05:07 tlr: 1.3e-05 tnm: 0.68 Lm: 6.703 (6.701) Lt: 5.976 (5.975) Accm: 3.07 (3.04) Acct: 4.77 (4.86) proj_loss: -0.5977 (-0.5995) time: 0.3630 data: 0.0003 [11-25 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:05:07 tlr: 1.3e-05 tnm: 0.68 Lm: 6.599 (6.589) Lt: 5.874 (5.875) Accm: 3.32 (3.29) Acct: 5.13 (5.11) proj_loss: -0.6167 (-0.6107) time: 0.3630 data: 0.0003 [11-25 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:05:07 tlr: 1.3e-05 tnm: 0.68 Lm: 6.729 (6.742) Lt: 5.984 (6.026) Accm: 2.92 (2.74) Acct: 4.72 (4.42) proj_loss: -0.6035 (-0.6042) time: 0.3631 data: 0.0003 [11-25 02:06:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:02:33 tlr: 1.3e-05 tnm: 0.69 Lm: 6.759 (6.754) Lt: 6.036 (6.042) Accm: 2.73 (2.69) Acct: 4.27 (4.27) proj_loss: -0.6035 (-0.5963) time: 0.3608 data: 0.0003 [11-25 02:06:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:02:33 tlr: 1.3e-05 tnm: 0.69 Lm: 6.586 (6.585) Lt: 5.846 (5.858) Accm: 3.22 (3.21) Acct: 4.87 (4.89) proj_loss: -0.6053 (-0.6021) time: 0.3608 data: 0.0003 [11-25 02:06:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:02:33 tlr: 1.3e-05 tnm: 0.69 Lm: 6.698 (6.663) Lt: 5.939 (5.924) Accm: 3.08 (3.10) Acct: 5.03 (5.00) proj_loss: -0.6020 (-0.6012) time: 0.3608 data: 0.0003 [11-25 02:06:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:02:33 tlr: 1.3e-05 tnm: 0.69 Lm: 6.608 (6.598) Lt: 5.887 (5.883) Accm: 3.27 (3.21) Acct: 5.08 (4.97) proj_loss: -0.6133 (-0.6105) time: 0.3608 data: 0.0002 [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.69 Lm: 6.617 (6.624) Lt: 5.899 (5.920) Accm: 3.23 (3.17) Acct: 5.03 (4.88) proj_loss: -0.6112 (-0.6107) time: 0.3634 data: 0.0018 [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.69 Lm: 6.588 (6.602) Lt: 5.858 (5.873) Accm: 3.13 (3.18) Acct: 4.86 (4.87) proj_loss: -0.6053 (-0.5986) time: 0.3634 data: 0.0017 [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.69 Lm: 6.693 (6.616) Lt: 5.901 (5.882) Accm: 3.09 (3.25) Acct: 5.29 (5.20) proj_loss: -0.6059 (-0.6021) time: 0.3635 data: 0.0018 [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.69 Lm: 6.729 (6.733) Lt: 5.997 (6.033) Accm: 2.92 (2.79) Acct: 4.36 (4.29) proj_loss: -0.6035 (-0.5992) time: 0.3634 data: 0.0017 [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:09:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:09:24] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.633 (6.652), Lt: 5.913 (5.936), Acc m&t: 3.07 4.81, Remain: 2:22:49, Finish: 2024-11-24 12:32 [11-25 02:09:24] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.633 (6.652), Lt: 5.913 (5.936), Acc m&t: 3.07 4.81, Remain: 2:22:53, Finish: 2024-11-24 12:32 [11-25 02:09:24] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.633 (6.652), Lt: 5.913 (5.936), Acc m&t: 3.07 4.81, Remain: 2:22:54, Finish: 2024-11-24 12:32 [11-25 02:09:24] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.633 (6.652), Lt: 5.913 (5.936), Acc m&t: 3.07 4.81, Remain: 2:22:52, Finish: 2024-11-24 12:32 [11-25 02:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:09:56 tlr: 1.3e-05 tnm: 0.68 Lm: 6.701 (6.701) Lt: 5.979 (5.979) Accm: 2.78 (2.78) Acct: 4.22 (4.22) proj_loss: -0.6101 (-0.6101) time: 0.3575 data: 0.0003 [11-25 02:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:09:57 tlr: 1.3e-05 tnm: 0.68 Lm: 6.690 (6.690) Lt: 5.970 (5.970) Accm: 2.86 (2.86) Acct: 4.39 (4.39) proj_loss: -0.6141 (-0.6141) time: 0.3578 data: 0.0004 [11-25 02:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:09:57 tlr: 1.3e-05 tnm: 0.68 Lm: 6.592 (6.592) Lt: 5.881 (5.881) Accm: 3.37 (3.37) Acct: 5.27 (5.27) proj_loss: -0.6209 (-0.6209) time: 0.3582 data: 0.0003 [11-25 02:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:09:56 tlr: 1.3e-05 tnm: 0.68 Lm: 6.638 (6.638) Lt: 5.960 (5.960) Accm: 3.06 (3.06) Acct: 4.37 (4.37) proj_loss: -0.5947 (-0.5947) time: 0.3574 data: 0.0004 [11-25 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:07:33 tlr: 1.2e-05 tnm: 0.68 Lm: 6.692 (6.692) Lt: 6.003 (6.003) Accm: 2.80 (2.80) Acct: 4.17 (4.17) proj_loss: -0.5925 (-0.5925) time: 0.3632 data: 0.0003 [11-25 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:07:33 tlr: 1.2e-05 tnm: 0.68 Lm: 6.521 (6.521) Lt: 5.786 (5.786) Accm: 3.44 (3.44) Acct: 5.48 (5.48) proj_loss: -0.6139 (-0.6139) time: 0.3632 data: 0.0002 [11-25 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:07:33 tlr: 1.2e-05 tnm: 0.68 Lm: 6.664 (6.664) Lt: 5.936 (5.936) Accm: 2.84 (2.84) Acct: 4.39 (4.39) proj_loss: -0.6150 (-0.6150) time: 0.3632 data: 0.0003 [11-25 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:07:33 tlr: 1.2e-05 tnm: 0.68 Lm: 6.665 (6.665) Lt: 5.968 (5.968) Accm: 2.77 (2.77) Acct: 4.16 (4.16) proj_loss: -0.6134 (-0.6134) time: 0.3632 data: 0.0003 [11-25 02:14:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:05:02 tlr: 1.2e-05 tnm: 0.68 Lm: 6.630 (6.605) Lt: 5.957 (5.878) Accm: 2.78 (3.07) Acct: 4.22 (4.76) proj_loss: -0.6166 (-0.6181) time: 0.3631 data: 0.0003 [11-25 02:14:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:05:02 tlr: 1.2e-05 tnm: 0.68 Lm: 6.562 (6.535) Lt: 5.750 (5.774) Accm: 3.37 (3.40) Acct: 5.32 (5.43) proj_loss: -0.6070 (-0.6107) time: 0.3631 data: 0.0003 [11-25 02:14:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:05:02 tlr: 1.2e-05 tnm: 0.68 Lm: 6.707 (6.697) Lt: 6.004 (6.003) Accm: 2.77 (2.79) Acct: 4.29 (4.21) proj_loss: -0.5947 (-0.6039) time: 0.3631 data: 0.0003 [11-25 02:14:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:05:02 tlr: 1.2e-05 tnm: 0.68 Lm: 6.637 (6.614) Lt: 5.902 (5.880) Accm: 2.86 (3.02) Acct: 4.39 (4.59) proj_loss: -0.6141 (-0.6121) time: 0.3631 data: 0.0003 [11-25 02:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:02:32 tlr: 1.2e-05 tnm: 0.68 Lm: 6.665 (6.638) Lt: 5.968 (5.904) Accm: 2.84 (3.03) Acct: 4.49 (4.76) proj_loss: -0.6134 (-0.6150) time: 0.3619 data: 0.0002 [11-25 02:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:02:32 tlr: 1.2e-05 tnm: 0.68 Lm: 6.520 (6.521) Lt: 5.755 (5.770) Accm: 3.44 (3.43) Acct: 5.29 (5.38) proj_loss: -0.6139 (-0.6169) time: 0.3619 data: 0.0002 [11-25 02:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:02:32 tlr: 1.2e-05 tnm: 0.68 Lm: 6.664 (6.645) Lt: 5.936 (5.911) Accm: 2.84 (2.93) Acct: 4.39 (4.49) proj_loss: -0.6103 (-0.6094) time: 0.3619 data: 0.0003 [11-25 02:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:02:32 tlr: 1.2e-05 tnm: 0.68 Lm: 6.711 (6.701) Lt: 5.990 (5.996) Accm: 2.91 (2.90) Acct: 4.33 (4.39) proj_loss: -0.6060 (-0.6072) time: 0.3619 data: 0.0003 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.67 Lm: 6.707 (6.697) Lt: 6.004 (6.010) Accm: 2.99 (2.92) Acct: 4.37 (4.40) proj_loss: -0.6139 (-0.6086) time: 0.3664 data: 0.0015 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.67 Lm: 6.630 (6.624) Lt: 5.957 (5.891) Accm: 2.91 (3.03) Acct: 4.77 (4.76) proj_loss: -0.6101 (-0.6116) time: 0.3664 data: 0.0020 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.67 Lm: 6.641 (6.645) Lt: 5.970 (5.928) Accm: 2.83 (2.91) Acct: 4.39 (4.47) proj_loss: -0.6141 (-0.6104) time: 0.3664 data: 0.0017 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.67 Lm: 6.478 (6.502) Lt: 5.750 (5.753) Accm: 3.52 (3.48) Acct: 5.32 (5.50) proj_loss: -0.6209 (-0.6184) time: 0.3664 data: 0.0017 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:19:35] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.633 (6.641), Lt: 5.913 (5.919), Acc m&t: 3.07 4.81, Remain: 2:13:06, Finish: 2024-11-24 12:32 [11-25 02:19:35] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.633 (6.641), Lt: 5.913 (5.919), Acc m&t: 3.07 4.81, Remain: 2:13:05, Finish: 2024-11-24 12:32 [11-25 02:19:35] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.633 (6.641), Lt: 5.913 (5.919), Acc m&t: 3.07 4.81, Remain: 2:13:04, Finish: 2024-11-24 12:32 [11-25 02:19:35] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.633 (6.641), Lt: 5.913 (5.919), Acc m&t: 3.07 4.81, Remain: 2:13:01, Finish: 2024-11-24 12:32 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:09:46 tlr: 1.2e-05 tnm: 0.68 Lm: 6.598 (6.598) Lt: 5.905 (5.905) Accm: 3.30 (3.30) Acct: 4.87 (4.87) proj_loss: -0.5817 (-0.5817) time: 0.3516 data: 0.0004 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:09:47 tlr: 1.2e-05 tnm: 0.68 Lm: 6.632 (6.632) Lt: 5.904 (5.904) Accm: 3.16 (3.16) Acct: 4.89 (4.89) proj_loss: -0.5977 (-0.5977) time: 0.3521 data: 0.0004 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:09:48 tlr: 1.2e-05 tnm: 0.68 Lm: 6.735 (6.735) Lt: 6.009 (6.009) Accm: 2.84 (2.84) Acct: 4.41 (4.41) proj_loss: -0.6106 (-0.6106) time: 0.3524 data: 0.0004 [11-25 02:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:09:49 tlr: 1.2e-05 tnm: 0.68 Lm: 6.553 (6.553) Lt: 5.851 (5.851) Accm: 3.12 (3.12) Acct: 4.96 (4.96) proj_loss: -0.6214 (-0.6214) time: 0.3534 data: 0.0004 [11-25 02:22:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:07:38 tlr: 1.2e-05 tnm: 0.68 Lm: 6.576 (6.576) Lt: 5.848 (5.848) Accm: 3.17 (3.17) Acct: 5.00 (5.00) proj_loss: -0.6180 (-0.6180) time: 0.3632 data: 0.0003 [11-25 02:22:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:07:38 tlr: 1.2e-05 tnm: 0.68 Lm: 6.598 (6.598) Lt: 5.917 (5.917) Accm: 3.21 (3.21) Acct: 4.82 (4.82) proj_loss: -0.5931 (-0.5931) time: 0.3632 data: 0.0003 [11-25 02:22:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:07:38 tlr: 1.2e-05 tnm: 0.68 Lm: 6.786 (6.786) Lt: 6.067 (6.067) Accm: 2.60 (2.60) Acct: 4.18 (4.18) proj_loss: -0.6060 (-0.6060) time: 0.3632 data: 0.0003 [11-25 02:22:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:07:38 tlr: 1.2e-05 tnm: 0.68 Lm: 6.670 (6.670) Lt: 5.960 (5.960) Accm: 3.08 (3.08) Acct: 4.72 (4.72) proj_loss: -0.6055 (-0.6055) time: 0.3632 data: 0.0003 [11-25 02:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:05:10 tlr: 1.2e-05 tnm: 0.68 Lm: 6.632 (6.626) Lt: 5.904 (5.894) Accm: 3.16 (3.20) Acct: 4.89 (5.00) proj_loss: -0.5977 (-0.6022) time: 0.3643 data: 0.0003 [11-25 02:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:05:10 tlr: 1.2e-05 tnm: 0.68 Lm: 6.563 (6.572) Lt: 5.851 (5.860) Accm: 3.23 (3.22) Acct: 5.04 (5.03) proj_loss: -0.6214 (-0.6238) time: 0.3643 data: 0.0003 [11-25 02:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:05:10 tlr: 1.2e-05 tnm: 0.68 Lm: 6.599 (6.616) Lt: 5.929 (5.922) Accm: 3.11 (3.14) Acct: 4.77 (4.76) proj_loss: -0.6044 (-0.6054) time: 0.3643 data: 0.0003 [11-25 02:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:05:10 tlr: 1.2e-05 tnm: 0.68 Lm: 6.735 (6.739) Lt: 6.009 (6.014) Accm: 2.84 (2.71) Acct: 4.41 (4.28) proj_loss: -0.6106 (-0.6119) time: 0.3643 data: 0.0003 [11-25 02:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:02:35 tlr: 1.1e-05 tnm: 0.68 Lm: 6.689 (6.677) Lt: 5.957 (5.954) Accm: 2.89 (2.90) Acct: 4.43 (4.42) proj_loss: -0.6061 (-0.6093) time: 0.3645 data: 0.0003 [11-25 02:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:02:35 tlr: 1.1e-05 tnm: 0.68 Lm: 6.670 (6.649) Lt: 5.960 (5.932) Accm: 3.08 (3.10) Acct: 4.72 (4.86) proj_loss: -0.6006 (-0.6025) time: 0.3645 data: 0.0003 [11-25 02:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:02:35 tlr: 1.1e-05 tnm: 0.68 Lm: 6.559 (6.568) Lt: 5.848 (5.842) Accm: 3.28 (3.27) Acct: 5.07 (5.15) proj_loss: -0.6198 (-0.6224) time: 0.3645 data: 0.0003 [11-25 02:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:02:35 tlr: 1.1e-05 tnm: 0.68 Lm: 6.626 (6.629) Lt: 5.931 (5.929) Accm: 3.06 (2.98) Acct: 4.70 (4.50) proj_loss: -0.6152 (-0.6106) time: 0.3645 data: 0.0002 [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.68 Lm: 6.653 (6.660) Lt: 5.934 (5.958) Accm: 3.01 (2.93) Acct: 4.63 (4.48) proj_loss: -0.6060 (-0.6097) time: 0.3652 data: 0.0016 [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.68 Lm: 6.632 (6.620) Lt: 5.904 (5.895) Accm: 3.16 (3.25) Acct: 4.89 (5.12) proj_loss: -0.6035 (-0.6092) time: 0.3652 data: 0.0016 [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.68 Lm: 6.563 (6.583) Lt: 5.851 (5.859) Accm: 3.23 (3.20) Acct: 5.04 (5.04) proj_loss: -0.6181 (-0.6201) time: 0.3653 data: 0.0015 [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:10:24 (0.374 s / it) [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.68 Lm: 6.726 (6.687) Lt: 6.009 (5.967) Accm: 2.84 (2.85) Acct: 4.41 (4.40) proj_loss: -0.6101 (-0.6095) time: 0.3653 data: 0.0020 [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:10:24 (0.374 s / it) [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:10:24 (0.374 s / it) [11-25 02:29:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:10:24 (0.374 s / it) [11-25 02:29:59] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.633 (6.642), Lt: 5.913 (5.924), Acc m&t: 3.07 4.81, Remain: 2:02:33, Finish: 2024-11-24 12:32 [11-25 02:29:59] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.633 (6.642), Lt: 5.913 (5.924), Acc m&t: 3.07 4.81, Remain: 2:02:31, Finish: 2024-11-24 12:32 [11-25 02:29:59] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.633 (6.642), Lt: 5.913 (5.924), Acc m&t: 3.07 4.81, Remain: 2:02:32, Finish: 2024-11-24 12:32 [11-25 02:29:59] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.633 (6.642), Lt: 5.913 (5.924), Acc m&t: 3.07 4.81, Remain: 2:02:36, Finish: 2024-11-24 12:32 [11-25 02:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:10:10 tlr: 1.1e-05 tnm: 0.68 Lm: 6.734 (6.734) Lt: 6.029 (6.029) Accm: 2.79 (2.79) Acct: 4.12 (4.12) proj_loss: -0.6091 (-0.6091) time: 0.3659 data: 0.0003 [11-25 02:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:10:02 tlr: 1.1e-05 tnm: 0.68 Lm: 6.580 (6.580) Lt: 5.920 (5.920) Accm: 3.25 (3.25) Acct: 5.08 (5.08) proj_loss: -0.6179 (-0.6179) time: 0.3610 data: 0.0004 [11-25 02:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:10:11 tlr: 1.1e-05 tnm: 0.68 Lm: 6.620 (6.620) Lt: 5.867 (5.867) Accm: 2.91 (2.91) Acct: 4.77 (4.77) proj_loss: -0.5997 (-0.5997) time: 0.3663 data: 0.0003 [11-25 02:30:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:10:12 tlr: 1.1e-05 tnm: 0.68 Lm: 6.651 (6.651) Lt: 5.966 (5.966) Accm: 3.08 (3.08) Acct: 4.80 (4.80) proj_loss: -0.6211 (-0.6211) time: 0.3670 data: 0.0004 [11-25 02:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:07:46 tlr: 1.1e-05 tnm: 0.67 Lm: 6.631 (6.631) Lt: 5.907 (5.907) Accm: 3.22 (3.22) Acct: 5.10 (5.10) proj_loss: -0.6123 (-0.6123) time: 0.4107 data: 0.0003 [11-25 02:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:07:46 tlr: 1.1e-05 tnm: 0.67 Lm: 6.545 (6.545) Lt: 5.839 (5.839) Accm: 3.34 (3.34) Acct: 5.08 (5.08) proj_loss: -0.6151 (-0.6151) time: 0.4107 data: 0.0003 [11-25 02:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:07:46 tlr: 1.1e-05 tnm: 0.67 Lm: 6.723 (6.723) Lt: 6.013 (6.013) Accm: 2.76 (2.76) Acct: 4.10 (4.10) proj_loss: -0.6115 (-0.6115) time: 0.4107 data: 0.0003 [11-25 02:32:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:07:46 tlr: 1.1e-05 tnm: 0.67 Lm: 6.667 (6.667) Lt: 5.926 (5.926) Accm: 2.86 (2.86) Acct: 4.51 (4.51) proj_loss: -0.5932 (-0.5932) time: 0.4107 data: 0.0003 [11-25 02:35:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:05:07 tlr: 1.1e-05 tnm: 0.68 Lm: 6.620 (6.634) Lt: 5.867 (5.896) Accm: 2.91 (3.05) Acct: 4.77 (4.83) proj_loss: -0.5997 (-0.5957) time: 0.3635 data: 0.0003 [11-25 02:35:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:05:07 tlr: 1.1e-05 tnm: 0.68 Lm: 6.712 (6.673) Lt: 5.996 (5.934) Accm: 2.79 (2.96) Acct: 4.12 (4.51) proj_loss: -0.6091 (-0.6041) time: 0.3635 data: 0.0003 [11-25 02:35:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:05:07 tlr: 1.1e-05 tnm: 0.68 Lm: 6.520 (6.537) Lt: 5.758 (5.799) Accm: 3.37 (3.35) Acct: 5.08 (5.18) proj_loss: -0.6122 (-0.6070) time: 0.3635 data: 0.0003 [11-25 02:35:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:05:07 tlr: 1.1e-05 tnm: 0.68 Lm: 6.651 (6.707) Lt: 5.966 (6.009) Accm: 3.08 (2.91) Acct: 4.80 (4.52) proj_loss: -0.6147 (-0.6131) time: 0.3635 data: 0.0003 [11-25 02:37:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:02:33 tlr: 1.1e-05 tnm: 0.69 Lm: 6.681 (6.668) Lt: 5.985 (5.944) Accm: 2.87 (2.96) Acct: 4.33 (4.52) proj_loss: -0.6115 (-0.6070) time: 0.3645 data: 0.0002 [11-25 02:37:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:02:33 tlr: 1.1e-05 tnm: 0.69 Lm: 6.631 (6.680) Lt: 5.932 (5.981) Accm: 3.15 (2.99) Acct: 4.82 (4.60) proj_loss: -0.6116 (-0.6120) time: 0.3645 data: 0.0002 [11-25 02:37:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:02:33 tlr: 1.1e-05 tnm: 0.69 Lm: 6.594 (6.615) Lt: 5.851 (5.878) Accm: 3.12 (3.12) Acct: 4.99 (4.92) proj_loss: -0.5992 (-0.5965) time: 0.3645 data: 0.0003 [11-25 02:37:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:02:33 tlr: 1.1e-05 tnm: 0.69 Lm: 6.550 (6.558) Lt: 5.823 (5.821) Accm: 3.34 (3.34) Acct: 5.23 (5.27) proj_loss: -0.6101 (-0.6073) time: 0.3645 data: 0.0003 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.67 Lm: 6.580 (6.573) Lt: 5.887 (5.836) Accm: 3.30 (3.32) Acct: 5.10 (5.24) proj_loss: -0.6080 (-0.6046) time: 0.3651 data: 0.0019 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:10:11 (0.366 s / it) [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.67 Lm: 6.650 (6.634) Lt: 5.975 (5.917) Accm: 2.96 (3.04) Acct: 4.55 (4.63) proj_loss: -0.6128 (-0.6081) time: 0.3651 data: 0.0017 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.67 Lm: 6.651 (6.694) Lt: 5.966 (6.005) Accm: 3.08 (2.93) Acct: 4.80 (4.52) proj_loss: -0.6147 (-0.6127) time: 0.3651 data: 0.0015 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.67 Lm: 6.569 (6.605) Lt: 5.836 (5.861) Accm: 3.33 (3.18) Acct: 5.22 (5.06) proj_loss: -0.5997 (-0.5987) time: 0.3651 data: 0.0021 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:10:11 (0.366 s / it) [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:10:11 (0.366 s / it) [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:10:11 (0.366 s / it) [11-25 02:40:11] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 1:52:44, Finish: 2024-11-24 12:32 [11-25 02:40:11] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 1:52:47, Finish: 2024-11-24 12:32 [11-25 02:40:11] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 1:52:46, Finish: 2024-11-24 12:32 [11-25 02:40:11] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.633 (6.644), Lt: 5.913 (5.927), Acc m&t: 3.07 4.81, Remain: 1:52:49, Finish: 2024-11-24 12:33 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:09:46 tlr: 1e-05 tnm: 0.68 Lm: 6.599 (6.599) Lt: 5.892 (5.892) Accm: 3.14 (3.14) Acct: 4.70 (4.70) proj_loss: -0.6130 (-0.6130) time: 0.3512 data: 0.0004 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:09:45 tlr: 1e-05 tnm: 0.68 Lm: 6.699 (6.699) Lt: 6.062 (6.062) Accm: 2.89 (2.89) Acct: 4.17 (4.17) proj_loss: -0.6135 (-0.6135) time: 0.3510 data: 0.0004 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:09:46 tlr: 1e-05 tnm: 0.68 Lm: 6.787 (6.787) Lt: 6.120 (6.120) Accm: 2.56 (2.56) Acct: 3.72 (3.72) proj_loss: -0.6280 (-0.6280) time: 0.3516 data: 0.0004 [11-25 02:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:09:47 tlr: 1e-05 tnm: 0.68 Lm: 6.789 (6.789) Lt: 6.091 (6.091) Accm: 2.70 (2.70) Acct: 4.05 (4.05) proj_loss: -0.6035 (-0.6035) time: 0.3523 data: 0.0003 [11-25 02:42:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:07:32 tlr: 1e-05 tnm: 0.69 Lm: 6.697 (6.697) Lt: 5.987 (5.987) Accm: 3.03 (3.03) Acct: 4.64 (4.64) proj_loss: -0.6020 (-0.6020) time: 0.3615 data: 0.0003 [11-25 02:42:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:07:32 tlr: 1e-05 tnm: 0.69 Lm: 6.645 (6.645) Lt: 5.965 (5.965) Accm: 3.02 (3.02) Acct: 4.49 (4.49) proj_loss: -0.6067 (-0.6067) time: 0.3615 data: 0.0003 [11-25 02:42:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:07:32 tlr: 1e-05 tnm: 0.69 Lm: 6.657 (6.657) Lt: 5.951 (5.951) Accm: 2.82 (2.82) Acct: 4.30 (4.30) proj_loss: -0.6217 (-0.6217) time: 0.3615 data: 0.0002 [11-25 02:42:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:07:32 tlr: 1e-05 tnm: 0.69 Lm: 6.727 (6.727) Lt: 6.070 (6.070) Accm: 2.80 (2.80) Acct: 4.33 (4.33) proj_loss: -0.6143 (-0.6143) time: 0.3615 data: 0.0003 [11-25 02:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:05:02 tlr: 1e-05 tnm: 0.69 Lm: 6.701 (6.718) Lt: 6.062 (6.038) Accm: 2.77 (2.79) Acct: 4.42 (4.36) proj_loss: -0.6135 (-0.6067) time: 0.3621 data: 0.0003 [11-25 02:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:05:02 tlr: 1e-05 tnm: 0.69 Lm: 6.662 (6.685) Lt: 5.947 (5.973) Accm: 2.96 (3.01) Acct: 4.77 (4.68) proj_loss: -0.6035 (-0.6045) time: 0.3621 data: 0.0003 [11-25 02:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:05:02 tlr: 1e-05 tnm: 0.69 Lm: 6.691 (6.704) Lt: 6.038 (6.037) Accm: 2.89 (2.84) Acct: 4.27 (4.23) proj_loss: -0.6070 (-0.6068) time: 0.3621 data: 0.0002 [11-25 02:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:05:02 tlr: 1e-05 tnm: 0.69 Lm: 6.528 (6.606) Lt: 5.781 (5.887) Accm: 3.07 (3.02) Acct: 4.89 (4.67) proj_loss: -0.6178 (-0.6204) time: 0.3621 data: 0.0002 [11-25 02:47:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:02:32 tlr: 9.9e-06 tnm: 0.68 Lm: 6.613 (6.629) Lt: 5.870 (5.905) Accm: 2.94 (2.96) Acct: 4.80 (4.68) proj_loss: -0.6166 (-0.6150) time: 0.4073 data: 0.0003 [11-25 02:47:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:02:32 tlr: 9.9e-06 tnm: 0.68 Lm: 6.645 (6.674) Lt: 5.965 (5.991) Accm: 3.02 (2.95) Acct: 4.49 (4.42) proj_loss: -0.6037 (-0.6039) time: 0.4073 data: 0.0003 [11-25 02:47:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:02:32 tlr: 9.9e-06 tnm: 0.68 Lm: 6.669 (6.683) Lt: 5.959 (5.973) Accm: 2.87 (2.95) Acct: 4.67 (4.65) proj_loss: -0.6066 (-0.6063) time: 0.4073 data: 0.0002 [11-25 02:47:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:02:32 tlr: 9.9e-06 tnm: 0.68 Lm: 6.700 (6.710) Lt: 6.033 (6.030) Accm: 2.83 (2.86) Acct: 4.46 (4.51) proj_loss: -0.6143 (-0.6105) time: 0.4073 data: 0.0003 [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.67 Lm: 6.701 (6.721) Lt: 6.062 (6.049) Accm: 2.82 (2.85) Acct: 4.42 (4.47) proj_loss: -0.6135 (-0.6097) time: 0.4109 data: 0.0019 [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.67 Lm: 6.605 (6.660) Lt: 5.892 (5.965) Accm: 3.14 (3.01) Acct: 4.70 (4.52) proj_loss: -0.6056 (-0.6042) time: 0.4109 data: 0.0017 [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.67 Lm: 6.677 (6.703) Lt: 5.972 (6.002) Accm: 2.78 (2.89) Acct: 4.56 (4.59) proj_loss: -0.6097 (-0.6123) time: 0.4109 data: 0.0021 [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.67 Lm: 6.642 (6.632) Lt: 5.859 (5.896) Accm: 2.99 (2.97) Acct: 4.80 (4.70) proj_loss: -0.6154 (-0.6114) time: 0.4109 data: 0.0019 [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:50:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:10:10 (0.366 s / it) [11-25 02:52:45] (home/user/VAR/trainer.py, line 114)=> FID: 3.4521697827514686 [11-25 02:52:45] (/home/user/VAR/train.py , line 259)=> [*] [ep339] (val 50000) Lm: 6.6473, Lt: 5.9297, Acc m&t: 3.04 4.75, Val cost: 143.00s [11-25 02:52:45] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-25 02:52:58] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.633 (6.647), Lt: 5.913 (5.930), Acc m&t: 3.07 4.81, Remain: 1:41:42, Finish: 2024-11-24 12:32 [11-25 02:52:58] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.633 (6.647), Lt: 5.913 (5.930), Acc m&t: 3.07 4.81, Remain: 1:41:43, Finish: 2024-11-24 12:32 [11-25 02:52:58] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.633 (6.647), Lt: 5.913 (5.930), Acc m&t: 3.07 4.81, Remain: 1:41:42, Finish: 2024-11-24 12:32 [11-25 02:52:58] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.633 (6.647), Lt: 5.913 (5.930), Acc m&t: 3.07 4.81, Remain: 1:41:40, Finish: 2024-11-24 12:32 [11-25 02:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:10:01 tlr: 9.7e-06 tnm: 0.68 Lm: 6.596 (6.596) Lt: 5.931 (5.931) Accm: 3.23 (3.23) Acct: 4.99 (4.99) proj_loss: -0.6276 (-0.6276) time: 0.3605 data: 0.0004 [11-25 02:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:10:02 tlr: 9.7e-06 tnm: 0.68 Lm: 6.661 (6.661) Lt: 5.994 (5.994) Accm: 2.97 (2.97) Acct: 4.55 (4.55) proj_loss: -0.6117 (-0.6117) time: 0.3609 data: 0.0005 [11-25 02:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:10:01 tlr: 9.7e-06 tnm: 0.68 Lm: 6.618 (6.618) Lt: 5.880 (5.880) Accm: 3.15 (3.15) Acct: 4.98 (4.98) proj_loss: -0.5983 (-0.5983) time: 0.3602 data: 0.0004 [11-25 02:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:10:02 tlr: 9.7e-06 tnm: 0.68 Lm: 6.670 (6.670) Lt: 6.000 (6.000) Accm: 2.72 (2.72) Acct: 4.25 (4.25) proj_loss: -0.6283 (-0.6283) time: 0.3611 data: 0.0004 [11-25 02:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:07:46 tlr: 9.5e-06 tnm: 0.69 Lm: 6.686 (6.686) Lt: 5.990 (5.990) Accm: 2.78 (2.78) Acct: 4.22 (4.22) proj_loss: -0.6081 (-0.6081) time: 0.3620 data: 0.0002 [11-25 02:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:07:46 tlr: 9.5e-06 tnm: 0.69 Lm: 6.579 (6.579) Lt: 5.861 (5.861) Accm: 3.06 (3.06) Acct: 4.68 (4.68) proj_loss: -0.6063 (-0.6063) time: 0.3620 data: 0.0003 [11-25 02:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:07:46 tlr: 9.5e-06 tnm: 0.69 Lm: 6.599 (6.599) Lt: 5.925 (5.925) Accm: 3.13 (3.13) Acct: 4.80 (4.80) proj_loss: -0.6091 (-0.6091) time: 0.3620 data: 0.0003 [11-25 02:55:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:07:46 tlr: 9.5e-06 tnm: 0.69 Lm: 6.585 (6.585) Lt: 5.890 (5.890) Accm: 3.35 (3.35) Acct: 5.15 (5.15) proj_loss: -0.6198 (-0.6198) time: 0.3620 data: 0.0003 [11-25 02:58:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:05:11 tlr: 9.3e-06 tnm: 0.68 Lm: 6.596 (6.649) Lt: 5.931 (5.928) Accm: 2.89 (2.95) Acct: 4.48 (4.61) proj_loss: -0.6041 (-0.6055) time: 0.3613 data: 0.0003 [11-25 02:58:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:05:11 tlr: 9.3e-06 tnm: 0.68 Lm: 6.670 (6.654) Lt: 5.981 (5.951) Accm: 2.83 (2.94) Acct: 4.25 (4.43) proj_loss: -0.6163 (-0.6108) time: 0.3613 data: 0.0002 [11-25 02:58:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:05:11 tlr: 9.3e-06 tnm: 0.68 Lm: 6.614 (6.595) Lt: 5.874 (5.885) Accm: 2.97 (3.22) Acct: 4.61 (4.97) proj_loss: -0.6117 (-0.6170) time: 0.3613 data: 0.0003 [11-25 02:58:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:05:11 tlr: 9.3e-06 tnm: 0.68 Lm: 6.618 (6.642) Lt: 5.970 (5.949) Accm: 3.10 (2.97) Acct: 4.61 (4.57) proj_loss: -0.5983 (-0.6022) time: 0.3613 data: 0.0003 [11-25 03:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:02:35 tlr: 9.1e-06 tnm: 0.69 Lm: 6.657 (6.656) Lt: 5.963 (5.951) Accm: 2.92 (2.91) Acct: 4.46 (4.51) proj_loss: -0.5983 (-0.6012) time: 0.4061 data: 0.0003 [11-25 03:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:02:35 tlr: 9.1e-06 tnm: 0.69 Lm: 6.638 (6.632) Lt: 5.934 (5.932) Accm: 2.97 (3.14) Acct: 4.58 (4.81) proj_loss: -0.6116 (-0.6123) time: 0.4061 data: 0.0003 [11-25 03:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:02:35 tlr: 9.1e-06 tnm: 0.69 Lm: 6.681 (6.678) Lt: 5.996 (5.964) Accm: 2.81 (2.87) Acct: 4.42 (4.45) proj_loss: -0.6087 (-0.6075) time: 0.4061 data: 0.0003 [11-25 03:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:02:35 tlr: 9.1e-06 tnm: 0.69 Lm: 6.686 (6.679) Lt: 5.990 (5.971) Accm: 2.80 (2.90) Acct: 4.38 (4.45) proj_loss: -0.6176 (-0.6128) time: 0.4061 data: 0.0002 [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.68 Lm: 6.670 (6.615) Lt: 5.981 (5.897) Accm: 2.83 (3.11) Acct: 4.51 (4.79) proj_loss: -0.6163 (-0.6135) time: 0.4533 data: 0.0019 [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.68 Lm: 6.642 (6.653) Lt: 5.955 (5.941) Accm: 2.96 (2.92) Acct: 4.46 (4.50) proj_loss: -0.5982 (-0.5988) time: 0.4533 data: 0.0018 [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.68 Lm: 6.633 (6.669) Lt: 5.931 (5.951) Accm: 2.89 (2.90) Acct: 4.48 (4.50) proj_loss: -0.6041 (-0.6061) time: 0.4533 data: 0.0019 [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.68 Lm: 6.614 (6.607) Lt: 5.874 (5.902) Accm: 2.97 (3.25) Acct: 4.61 (4.94) proj_loss: -0.6114 (-0.6118) time: 0.4533 data: 0.0017 [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:03:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:03:25] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.912), Acc m&t: 3.07 4.81, Remain: 1:32:13, Finish: 2024-11-24 12:35 [11-25 03:03:25] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.912), Acc m&t: 3.07 4.81, Remain: 1:32:15, Finish: 2024-11-24 12:35 [11-25 03:03:25] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.912), Acc m&t: 3.07 4.81, Remain: 1:32:12, Finish: 2024-11-24 12:35 [11-25 03:03:25] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.912), Acc m&t: 3.07 4.81, Remain: 1:32:13, Finish: 2024-11-24 12:35 [11-25 03:03:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:09:29 tlr: 9e-06 tnm: 0.68 Lm: 6.507 (6.507) Lt: 5.728 (5.728) Accm: 3.60 (3.60) Acct: 5.91 (5.91) proj_loss: -0.5938 (-0.5938) time: 0.3411 data: 0.0004 [11-25 03:03:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:09:29 tlr: 9e-06 tnm: 0.68 Lm: 6.625 (6.625) Lt: 5.893 (5.893) Accm: 3.10 (3.10) Acct: 4.92 (4.92) proj_loss: -0.6087 (-0.6087) time: 0.3414 data: 0.0004 [11-25 03:03:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:09:30 tlr: 9e-06 tnm: 0.68 Lm: 6.704 (6.704) Lt: 6.023 (6.023) Accm: 2.88 (2.88) Acct: 4.32 (4.32) proj_loss: -0.6040 (-0.6040) time: 0.3417 data: 0.0004 [11-25 03:03:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:09:32 tlr: 9e-06 tnm: 0.68 Lm: 6.681 (6.681) Lt: 5.931 (5.931) Accm: 3.09 (3.09) Acct: 5.06 (5.06) proj_loss: -0.6043 (-0.6043) time: 0.3430 data: 0.0004 [11-25 03:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:07:38 tlr: 8.8e-06 tnm: 0.68 Lm: 6.622 (6.622) Lt: 5.927 (5.927) Accm: 3.21 (3.21) Acct: 5.10 (5.10) proj_loss: -0.6076 (-0.6076) time: 0.3636 data: 0.0003 [11-25 03:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:07:38 tlr: 8.8e-06 tnm: 0.68 Lm: 6.624 (6.624) Lt: 5.875 (5.875) Accm: 3.30 (3.30) Acct: 5.25 (5.25) proj_loss: -0.6148 (-0.6148) time: 0.3637 data: 0.0003 [11-25 03:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:07:38 tlr: 8.8e-06 tnm: 0.68 Lm: 6.669 (6.669) Lt: 5.974 (5.974) Accm: 2.94 (2.94) Acct: 4.45 (4.45) proj_loss: -0.6011 (-0.6011) time: 0.3637 data: 0.0003 [11-25 03:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:07:38 tlr: 8.8e-06 tnm: 0.68 Lm: 6.557 (6.557) Lt: 5.803 (5.803) Accm: 3.22 (3.22) Acct: 5.01 (5.01) proj_loss: -0.6001 (-0.6001) time: 0.3637 data: 0.0003 [11-25 03:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:05:04 tlr: 8.6e-06 tnm: 0.68 Lm: 6.625 (6.636) Lt: 5.893 (5.900) Accm: 3.10 (3.03) Acct: 4.92 (4.77) proj_loss: -0.5977 (-0.5993) time: 0.3613 data: 0.0002 [11-25 03:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:05:04 tlr: 8.6e-06 tnm: 0.68 Lm: 6.704 (6.700) Lt: 6.023 (6.006) Accm: 2.89 (2.92) Acct: 4.58 (4.53) proj_loss: -0.5982 (-0.5980) time: 0.3613 data: 0.0003 [11-25 03:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:05:04 tlr: 8.6e-06 tnm: 0.68 Lm: 6.675 (6.640) Lt: 5.931 (5.937) Accm: 3.09 (3.09) Acct: 5.06 (4.93) proj_loss: -0.6108 (-0.6105) time: 0.3613 data: 0.0003 [11-25 03:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:05:04 tlr: 8.6e-06 tnm: 0.68 Lm: 6.693 (6.647) Lt: 5.948 (5.899) Accm: 3.17 (3.26) Acct: 4.91 (5.14) proj_loss: -0.6162 (-0.6153) time: 0.3613 data: 0.0003 [11-25 03:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-06 tnm: 0.68 Lm: 6.704 (6.664) Lt: 5.985 (5.930) Accm: 3.09 (3.15) Acct: 4.75 (4.96) proj_loss: -0.6225 (-0.6187) time: 0.3638 data: 0.0003 [11-25 03:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-06 tnm: 0.68 Lm: 6.655 (6.648) Lt: 5.915 (5.909) Accm: 2.94 (2.96) Acct: 4.61 (4.64) proj_loss: -0.6032 (-0.6020) time: 0.3638 data: 0.0003 [11-25 03:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-06 tnm: 0.68 Lm: 6.620 (6.595) Lt: 5.927 (5.874) Accm: 3.21 (3.22) Acct: 5.10 (5.06) proj_loss: -0.6102 (-0.6102) time: 0.3638 data: 0.0003 [11-25 03:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:02:32 tlr: 8.4e-06 tnm: 0.68 Lm: 6.669 (6.683) Lt: 5.981 (5.989) Accm: 2.94 (3.03) Acct: 4.64 (4.74) proj_loss: -0.6011 (-0.6018) time: 0.3638 data: 0.0003 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.69 Lm: 6.634 (6.650) Lt: 5.938 (5.946) Accm: 2.99 (3.11) Acct: 4.70 (4.90) proj_loss: -0.6040 (-0.6064) time: 0.3628 data: 0.0017 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:10:08 (0.364 s / it) [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.69 Lm: 6.626 (6.644) Lt: 5.931 (5.914) Accm: 3.07 (2.99) Acct: 4.80 (4.67) proj_loss: -0.6040 (-0.6024) time: 0.3628 data: 0.0021 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.69 Lm: 6.635 (6.603) Lt: 5.922 (5.871) Accm: 3.09 (3.19) Acct: 5.06 (5.06) proj_loss: -0.6096 (-0.6097) time: 0.3628 data: 0.0018 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.69 Lm: 6.693 (6.665) Lt: 5.948 (5.929) Accm: 3.17 (3.16) Acct: 4.91 (5.02) proj_loss: -0.6162 (-0.6170) time: 0.3628 data: 0.0017 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:10:08 (0.364 s / it) [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:10:08 (0.364 s / it) [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:10:08 (0.364 s / it) [11-25 03:13:34] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.632 (6.644), Lt: 5.912 (5.924), Acc m&t: 3.07 4.81, Remain: 1:21:04, Finish: 2024-11-24 12:34 [11-25 03:13:34] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.632 (6.644), Lt: 5.912 (5.924), Acc m&t: 3.07 4.81, Remain: 1:21:05, Finish: 2024-11-24 12:34 [11-25 03:13:34] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.632 (6.644), Lt: 5.912 (5.924), Acc m&t: 3.07 4.81, Remain: 1:21:09, Finish: 2024-11-24 12:34 [11-25 03:13:34] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.632 (6.644), Lt: 5.912 (5.924), Acc m&t: 3.07 4.81, Remain: 1:21:02, Finish: 2024-11-24 12:34 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:09:45 tlr: 8.2e-06 tnm: 0.69 Lm: 6.700 (6.700) Lt: 5.953 (5.953) Accm: 3.10 (3.10) Acct: 5.08 (5.08) proj_loss: -0.5965 (-0.5965) time: 0.3508 data: 0.0004 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:09:49 tlr: 8.2e-06 tnm: 0.69 Lm: 6.511 (6.511) Lt: 5.824 (5.824) Accm: 3.33 (3.33) Acct: 4.92 (4.92) proj_loss: -0.6242 (-0.6242) time: 0.3529 data: 0.0003 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:09:49 tlr: 8.2e-06 tnm: 0.69 Lm: 6.460 (6.460) Lt: 5.661 (5.661) Accm: 3.55 (3.55) Acct: 5.44 (5.44) proj_loss: -0.6109 (-0.6109) time: 0.3531 data: 0.0003 [11-25 03:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:09:48 tlr: 8.2e-06 tnm: 0.69 Lm: 6.700 (6.700) Lt: 6.012 (6.012) Accm: 2.88 (2.88) Acct: 4.53 (4.53) proj_loss: -0.6120 (-0.6120) time: 0.3528 data: 0.0003 [11-25 03:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:07:33 tlr: 8.1e-06 tnm: 0.68 Lm: 6.682 (6.682) Lt: 6.007 (6.007) Accm: 2.93 (2.93) Acct: 4.55 (4.55) proj_loss: -0.6156 (-0.6156) time: 0.3653 data: 0.0003 [11-25 03:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:07:33 tlr: 8.1e-06 tnm: 0.68 Lm: 6.670 (6.670) Lt: 5.936 (5.936) Accm: 2.96 (2.96) Acct: 4.86 (4.86) proj_loss: -0.6144 (-0.6144) time: 0.3653 data: 0.0003 [11-25 03:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:07:33 tlr: 8.1e-06 tnm: 0.68 Lm: 6.578 (6.578) Lt: 5.838 (5.838) Accm: 3.24 (3.24) Acct: 4.93 (4.93) proj_loss: -0.6111 (-0.6111) time: 0.3653 data: 0.0003 [11-25 03:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:07:33 tlr: 8.1e-06 tnm: 0.68 Lm: 6.672 (6.672) Lt: 5.997 (5.997) Accm: 2.96 (2.96) Acct: 4.44 (4.44) proj_loss: -0.6088 (-0.6088) time: 0.3653 data: 0.0003 [11-25 03:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:05:03 tlr: 7.9e-06 tnm: 0.68 Lm: 6.666 (6.670) Lt: 5.906 (5.966) Accm: 2.89 (2.94) Acct: 4.53 (4.47) proj_loss: -0.6025 (-0.6067) time: 0.4032 data: 0.0003 [11-25 03:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:05:03 tlr: 7.9e-06 tnm: 0.68 Lm: 6.645 (6.600) Lt: 5.953 (5.876) Accm: 3.04 (3.17) Acct: 4.61 (4.83) proj_loss: -0.6109 (-0.6105) time: 0.4032 data: 0.0003 [11-25 03:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:05:03 tlr: 7.9e-06 tnm: 0.68 Lm: 6.700 (6.713) Lt: 5.953 (6.005) Accm: 2.82 (2.84) Acct: 4.63 (4.55) proj_loss: -0.6188 (-0.6159) time: 0.4032 data: 0.0002 [11-25 03:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:05:03 tlr: 7.9e-06 tnm: 0.68 Lm: 6.700 (6.705) Lt: 6.012 (6.024) Accm: 2.88 (2.90) Acct: 4.53 (4.54) proj_loss: -0.6120 (-0.6039) time: 0.4032 data: 0.0002 [11-25 03:21:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-06 tnm: 0.69 Lm: 6.690 (6.699) Lt: 6.007 (5.999) Accm: 2.93 (2.94) Acct: 4.55 (4.61) proj_loss: -0.6077 (-0.6038) time: 0.3636 data: 0.0003 [11-25 03:21:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-06 tnm: 0.69 Lm: 6.670 (6.655) Lt: 5.936 (5.951) Accm: 2.96 (2.94) Acct: 4.85 (4.67) proj_loss: -0.6202 (-0.6173) time: 0.3636 data: 0.0003 [11-25 03:21:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-06 tnm: 0.69 Lm: 6.670 (6.633) Lt: 5.984 (5.928) Accm: 3.05 (3.15) Acct: 4.71 (4.82) proj_loss: -0.6101 (-0.6080) time: 0.3636 data: 0.0003 [11-25 03:21:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:02:32 tlr: 7.7e-06 tnm: 0.69 Lm: 6.660 (6.666) Lt: 5.909 (5.953) Accm: 2.84 (2.90) Acct: 4.48 (4.46) proj_loss: -0.5980 (-0.5998) time: 0.3636 data: 0.0003 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.70 Lm: 6.666 (6.674) Lt: 5.912 (5.966) Accm: 2.80 (2.85) Acct: 4.42 (4.40) proj_loss: -0.5990 (-0.5996) time: 0.3637 data: 0.0021 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:10:10 (0.366 s / it) [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.70 Lm: 6.641 (6.646) Lt: 5.918 (5.934) Accm: 3.10 (2.98) Acct: 5.03 (4.75) proj_loss: -0.6188 (-0.6168) time: 0.3637 data: 0.0021 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.70 Lm: 6.645 (6.626) Lt: 5.953 (5.912) Accm: 3.07 (3.20) Acct: 4.80 (4.92) proj_loss: -0.6109 (-0.6087) time: 0.3637 data: 0.0018 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.70 Lm: 6.681 (6.667) Lt: 6.002 (5.956) Accm: 2.98 (2.99) Acct: 4.58 (4.73) proj_loss: -0.6045 (-0.6039) time: 0.3637 data: 0.0018 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:10:10 (0.366 s / it) [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:10:10 (0.366 s / it) [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:10:10 (0.366 s / it) [11-25 03:23:44] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.926), Acc m&t: 3.07 4.81, Remain: 1:10:54, Finish: 2024-11-24 12:34 [11-25 03:23:44] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.926), Acc m&t: 3.07 4.81, Remain: 1:10:56, Finish: 2024-11-24 12:34 [11-25 03:23:44] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.926), Acc m&t: 3.07 4.81, Remain: 1:11:00, Finish: 2024-11-24 12:34 [11-25 03:23:44] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.926), Acc m&t: 3.07 4.81, Remain: 1:10:58, Finish: 2024-11-24 12:34 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:09:51 tlr: 7.5e-06 tnm: 0.68 Lm: 6.573 (6.573) Lt: 5.810 (5.810) Accm: 3.19 (3.19) Acct: 5.13 (5.13) proj_loss: -0.5940 (-0.5940) time: 0.3547 data: 0.0004 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:09:57 tlr: 7.5e-06 tnm: 0.68 Lm: 6.725 (6.725) Lt: 6.024 (6.024) Accm: 2.86 (2.86) Acct: 4.48 (4.48) proj_loss: -0.6295 (-0.6295) time: 0.3582 data: 0.0004 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:09:58 tlr: 7.5e-06 tnm: 0.68 Lm: 6.447 (6.447) Lt: 5.686 (5.686) Accm: 3.63 (3.63) Acct: 5.77 (5.77) proj_loss: -0.6220 (-0.6220) time: 0.3586 data: 0.0004 [11-25 03:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:09:56 tlr: 7.5e-06 tnm: 0.68 Lm: 6.490 (6.490) Lt: 5.722 (5.722) Accm: 3.45 (3.45) Acct: 5.68 (5.68) proj_loss: -0.6122 (-0.6122) time: 0.3577 data: 0.0003 [11-25 03:26:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:07:48 tlr: 7.3e-06 tnm: 0.69 Lm: 6.489 (6.489) Lt: 5.740 (5.740) Accm: 3.46 (3.46) Acct: 5.59 (5.59) proj_loss: -0.6245 (-0.6245) time: 0.3973 data: 0.0003 [11-25 03:26:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:07:48 tlr: 7.3e-06 tnm: 0.69 Lm: 6.688 (6.688) Lt: 5.997 (5.997) Accm: 2.95 (2.95) Acct: 4.73 (4.73) proj_loss: -0.6104 (-0.6104) time: 0.3974 data: 0.0002 [11-25 03:26:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:07:48 tlr: 7.3e-06 tnm: 0.69 Lm: 6.575 (6.575) Lt: 5.813 (5.813) Accm: 3.25 (3.25) Acct: 5.29 (5.29) proj_loss: -0.6010 (-0.6010) time: 0.3974 data: 0.0003 [11-25 03:26:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:07:48 tlr: 7.3e-06 tnm: 0.69 Lm: 6.546 (6.546) Lt: 5.778 (5.778) Accm: 3.37 (3.37) Acct: 5.48 (5.48) proj_loss: -0.6217 (-0.6217) time: 0.3973 data: 0.0002 [11-25 03:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:05:10 tlr: 7.1e-06 tnm: 0.69 Lm: 6.650 (6.663) Lt: 5.970 (5.957) Accm: 3.04 (2.98) Acct: 4.65 (4.70) proj_loss: -0.6049 (-0.6085) time: 0.3643 data: 0.0002 [11-25 03:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:05:10 tlr: 7.1e-06 tnm: 0.69 Lm: 6.576 (6.639) Lt: 5.816 (5.892) Accm: 3.19 (3.10) Acct: 5.13 (4.98) proj_loss: -0.5984 (-0.6001) time: 0.3643 data: 0.0003 [11-25 03:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:05:10 tlr: 7.1e-06 tnm: 0.69 Lm: 6.490 (6.565) Lt: 5.757 (5.824) Accm: 3.45 (3.23) Acct: 5.49 (5.11) proj_loss: -0.6126 (-0.6205) time: 0.3643 data: 0.0003 [11-25 03:28:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:05:10 tlr: 7.1e-06 tnm: 0.69 Lm: 6.536 (6.543) Lt: 5.775 (5.777) Accm: 3.12 (3.26) Acct: 5.20 (5.23) proj_loss: -0.6214 (-0.6181) time: 0.3644 data: 0.0003 [11-25 03:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:02:37 tlr: 7e-06 tnm: 0.68 Lm: 6.591 (6.569) Lt: 5.823 (5.834) Accm: 3.08 (3.17) Acct: 4.97 (5.01) proj_loss: -0.6191 (-0.6178) time: 0.4030 data: 0.0003 [11-25 03:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:02:37 tlr: 7e-06 tnm: 0.68 Lm: 6.592 (6.631) Lt: 5.868 (5.899) Accm: 3.13 (3.09) Acct: 4.92 (4.92) proj_loss: -0.6032 (-0.6040) time: 0.4030 data: 0.0003 [11-25 03:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:02:37 tlr: 7e-06 tnm: 0.68 Lm: 6.559 (6.580) Lt: 5.819 (5.838) Accm: 3.31 (3.22) Acct: 5.23 (5.08) proj_loss: -0.6124 (-0.6160) time: 0.4030 data: 0.0003 [11-25 03:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:02:37 tlr: 7e-06 tnm: 0.68 Lm: 6.631 (6.602) Lt: 5.924 (5.895) Accm: 3.04 (3.15) Acct: 4.81 (4.99) proj_loss: -0.6125 (-0.6114) time: 0.4030 data: 0.0002 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.69 Lm: 6.650 (6.613) Lt: 5.955 (5.907) Accm: 3.04 (3.13) Acct: 4.80 (4.96) proj_loss: -0.6049 (-0.6075) time: 0.3662 data: 0.0015 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.69 Lm: 6.608 (6.650) Lt: 5.919 (5.930) Accm: 3.07 (3.02) Acct: 4.72 (4.71) proj_loss: -0.6080 (-0.6050) time: 0.3662 data: 0.0017 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.69 Lm: 6.538 (6.563) Lt: 5.854 (5.838) Accm: 3.12 (3.24) Acct: 5.20 (5.06) proj_loss: -0.6214 (-0.6206) time: 0.3661 data: 0.0019 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.69 Lm: 6.494 (6.563) Lt: 5.770 (5.825) Accm: 3.29 (3.23) Acct: 5.37 (5.14) proj_loss: -0.6126 (-0.6170) time: 0.3662 data: 0.0022 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:10:26 (0.376 s / it) [11-25 03:34:11] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 1:01:34, Finish: 2024-11-24 12:35 [11-25 03:34:11] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 1:01:32, Finish: 2024-11-24 12:35 [11-25 03:34:11] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 1:01:33, Finish: 2024-11-24 12:35 [11-25 03:34:11] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.632 (6.632), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 1:01:33, Finish: 2024-11-24 12:35 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:09:52 tlr: 6.8e-06 tnm: 0.69 Lm: 6.624 (6.624) Lt: 5.887 (5.887) Accm: 3.05 (3.05) Acct: 4.89 (4.89) proj_loss: -0.6065 (-0.6065) time: 0.3551 data: 0.0003 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:09:52 tlr: 6.8e-06 tnm: 0.69 Lm: 6.657 (6.657) Lt: 5.922 (5.922) Accm: 3.00 (3.00) Acct: 4.80 (4.80) proj_loss: -0.6043 (-0.6043) time: 0.3550 data: 0.0004 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:09:53 tlr: 6.8e-06 tnm: 0.69 Lm: 6.695 (6.695) Lt: 5.931 (5.931) Accm: 2.91 (2.91) Acct: 4.68 (4.68) proj_loss: -0.5844 (-0.5844) time: 0.3554 data: 0.0004 [11-25 03:34:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:09:51 tlr: 6.8e-06 tnm: 0.69 Lm: 6.622 (6.622) Lt: 5.888 (5.888) Accm: 3.06 (3.06) Acct: 4.91 (4.91) proj_loss: -0.5911 (-0.5911) time: 0.3547 data: 0.0004 [11-25 03:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-06 tnm: 0.67 Lm: 6.657 (6.657) Lt: 5.939 (5.939) Accm: 2.92 (2.92) Acct: 4.60 (4.60) proj_loss: -0.5965 (-0.5965) time: 0.3634 data: 0.0003 [11-25 03:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-06 tnm: 0.67 Lm: 6.688 (6.688) Lt: 6.001 (6.001) Accm: 3.00 (3.00) Acct: 4.66 (4.66) proj_loss: -0.6114 (-0.6114) time: 0.3634 data: 0.0004 [11-25 03:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-06 tnm: 0.67 Lm: 6.691 (6.691) Lt: 5.965 (5.965) Accm: 2.94 (2.94) Acct: 4.67 (4.67) proj_loss: -0.6131 (-0.6131) time: 0.3634 data: 0.0003 [11-25 03:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:07:38 tlr: 6.6e-06 tnm: 0.67 Lm: 6.726 (6.726) Lt: 6.006 (6.006) Accm: 2.80 (2.80) Acct: 4.37 (4.37) proj_loss: -0.6001 (-0.6001) time: 0.3634 data: 0.0003 [11-25 03:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:05:05 tlr: 6.4e-06 tnm: 0.69 Lm: 6.657 (6.670) Lt: 5.922 (5.960) Accm: 3.00 (3.08) Acct: 4.80 (4.79) proj_loss: -0.6156 (-0.6128) time: 0.4078 data: 0.0003 [11-25 03:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:05:05 tlr: 6.4e-06 tnm: 0.69 Lm: 6.695 (6.617) Lt: 5.931 (5.895) Accm: 2.91 (3.05) Acct: 4.68 (4.68) proj_loss: -0.6158 (-0.6057) time: 0.4078 data: 0.0003 [11-25 03:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:05:05 tlr: 6.4e-06 tnm: 0.69 Lm: 6.693 (6.687) Lt: 5.991 (5.989) Accm: 2.79 (2.82) Acct: 4.29 (4.37) proj_loss: -0.6020 (-0.6004) time: 0.4078 data: 0.0003 [11-25 03:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:05:05 tlr: 6.4e-06 tnm: 0.69 Lm: 6.655 (6.679) Lt: 5.887 (5.937) Accm: 3.04 (2.97) Acct: 4.86 (4.73) proj_loss: -0.6065 (-0.6033) time: 0.4078 data: 0.0003 [11-25 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:02:32 tlr: 6.2e-06 tnm: 0.70 Lm: 6.640 (6.665) Lt: 5.895 (5.928) Accm: 3.03 (2.99) Acct: 4.87 (4.77) proj_loss: -0.6097 (-0.6057) time: 0.3621 data: 0.0003 [11-25 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:02:32 tlr: 6.2e-06 tnm: 0.70 Lm: 6.646 (6.639) Lt: 5.899 (5.924) Accm: 3.10 (3.11) Acct: 4.85 (4.81) proj_loss: -0.6099 (-0.6073) time: 0.3621 data: 0.0003 [11-25 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:02:32 tlr: 6.2e-06 tnm: 0.70 Lm: 6.595 (6.586) Lt: 5.844 (5.861) Accm: 3.23 (3.22) Acct: 4.98 (4.95) proj_loss: -0.6164 (-0.6102) time: 0.3621 data: 0.0003 [11-25 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:02:32 tlr: 6.2e-06 tnm: 0.70 Lm: 6.677 (6.681) Lt: 5.955 (5.971) Accm: 2.92 (2.91) Acct: 4.60 (4.57) proj_loss: -0.5965 (-0.5973) time: 0.3621 data: 0.0003 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.69 Lm: 6.660 (6.669) Lt: 5.918 (5.957) Accm: 2.94 (2.92) Acct: 4.56 (4.57) proj_loss: -0.6020 (-0.5995) time: 0.3665 data: 0.0018 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:10:07 (0.364 s / it) [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.69 Lm: 6.635 (6.636) Lt: 5.876 (5.912) Accm: 3.16 (3.12) Acct: 4.89 (4.85) proj_loss: -0.6043 (-0.6063) time: 0.3665 data: 0.0016 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.69 Lm: 6.641 (6.597) Lt: 5.899 (5.868) Accm: 3.07 (3.19) Acct: 4.68 (4.88) proj_loss: -0.6158 (-0.6099) time: 0.3665 data: 0.0016 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.69 Lm: 6.629 (6.658) Lt: 5.903 (5.924) Accm: 3.04 (3.00) Acct: 4.86 (4.78) proj_loss: -0.6083 (-0.6062) time: 0.3665 data: 0.0029 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:10:07 (0.364 s / it) [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:10:07 (0.364 s / it) [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:10:07 (0.364 s / it) [11-25 03:44:19] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.632 (6.639), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:51:04, Finish: 2024-11-24 12:35 [11-25 03:44:19] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.632 (6.639), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:51:04, Finish: 2024-11-24 12:35 [11-25 03:44:19] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.632 (6.639), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:51:05, Finish: 2024-11-24 12:35 [11-25 03:44:19] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.632 (6.639), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:51:03, Finish: 2024-11-24 12:35 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:09:54 tlr: 6e-06 tnm: 0.68 Lm: 6.394 (6.394) Lt: 5.665 (5.665) Accm: 4.00 (4.00) Acct: 6.13 (6.13) proj_loss: -0.6135 (-0.6135) time: 0.3563 data: 0.0003 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:09:48 tlr: 6e-06 tnm: 0.68 Lm: 6.679 (6.679) Lt: 5.948 (5.948) Accm: 3.15 (3.15) Acct: 5.13 (5.13) proj_loss: -0.6178 (-0.6178) time: 0.3526 data: 0.0004 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:09:54 tlr: 6e-06 tnm: 0.68 Lm: 6.593 (6.593) Lt: 5.908 (5.908) Accm: 2.80 (2.80) Acct: 4.53 (4.53) proj_loss: -0.6001 (-0.6001) time: 0.3562 data: 0.0004 [11-25 03:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:09:48 tlr: 6e-06 tnm: 0.68 Lm: 6.717 (6.717) Lt: 5.930 (5.930) Accm: 2.72 (2.72) Acct: 4.32 (4.32) proj_loss: -0.6019 (-0.6019) time: 0.3527 data: 0.0002 [11-25 03:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:07:34 tlr: 5.9e-06 tnm: 0.69 Lm: 6.705 (6.705) Lt: 5.943 (5.943) Accm: 2.90 (2.90) Acct: 4.61 (4.61) proj_loss: -0.6006 (-0.6006) time: 0.3626 data: 0.0002 [11-25 03:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:07:34 tlr: 5.9e-06 tnm: 0.69 Lm: 6.459 (6.459) Lt: 5.730 (5.730) Accm: 3.54 (3.54) Acct: 5.47 (5.47) proj_loss: -0.6110 (-0.6110) time: 0.3626 data: 0.0002 [11-25 03:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:07:34 tlr: 5.9e-06 tnm: 0.69 Lm: 6.651 (6.651) Lt: 5.948 (5.948) Accm: 3.07 (3.07) Acct: 4.89 (4.89) proj_loss: -0.6207 (-0.6207) time: 0.3626 data: 0.0003 [11-25 03:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:07:34 tlr: 5.9e-06 tnm: 0.69 Lm: 6.634 (6.634) Lt: 5.921 (5.921) Accm: 2.90 (2.90) Acct: 4.57 (4.57) proj_loss: -0.5991 (-0.5991) time: 0.3626 data: 0.0003 [11-25 03:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:05:04 tlr: 5.7e-06 tnm: 0.70 Lm: 6.676 (6.662) Lt: 5.934 (5.948) Accm: 2.80 (2.85) Acct: 4.53 (4.45) proj_loss: -0.6001 (-0.6046) time: 0.3643 data: 0.0003 [11-25 03:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:05:04 tlr: 5.7e-06 tnm: 0.70 Lm: 6.694 (6.698) Lt: 5.937 (5.941) Accm: 2.94 (2.92) Acct: 4.53 (4.58) proj_loss: -0.6019 (-0.6042) time: 0.3643 data: 0.0002 [11-25 03:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:05:04 tlr: 5.7e-06 tnm: 0.70 Lm: 6.622 (6.631) Lt: 5.948 (5.923) Accm: 3.15 (3.17) Acct: 5.13 (5.06) proj_loss: -0.6212 (-0.6209) time: 0.3643 data: 0.0003 [11-25 03:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:05:04 tlr: 5.7e-06 tnm: 0.70 Lm: 6.524 (6.514) Lt: 5.796 (5.796) Accm: 3.09 (3.35) Acct: 4.87 (5.27) proj_loss: -0.6086 (-0.6045) time: 0.3643 data: 0.0003 [11-25 03:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:02:33 tlr: 5.5e-06 tnm: 0.69 Lm: 6.574 (6.574) Lt: 5.861 (5.866) Accm: 3.03 (3.17) Acct: 4.84 (5.03) proj_loss: -0.6110 (-0.6068) time: 0.3641 data: 0.0003 [11-25 03:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:02:33 tlr: 5.5e-06 tnm: 0.69 Lm: 6.630 (6.633) Lt: 5.933 (5.922) Accm: 3.18 (3.18) Acct: 5.08 (5.05) proj_loss: -0.6212 (-0.6209) time: 0.3641 data: 0.0003 [11-25 03:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:02:33 tlr: 5.5e-06 tnm: 0.69 Lm: 6.697 (6.687) Lt: 5.967 (5.961) Accm: 2.78 (2.81) Acct: 4.37 (4.35) proj_loss: -0.6027 (-0.6048) time: 0.3641 data: 0.0003 [11-25 03:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:02:33 tlr: 5.5e-06 tnm: 0.69 Lm: 6.688 (6.671) Lt: 5.933 (5.919) Accm: 3.02 (3.02) Acct: 4.71 (4.73) proj_loss: -0.6006 (-0.6013) time: 0.3641 data: 0.0002 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.68 Lm: 6.683 (6.659) Lt: 5.930 (5.914) Accm: 3.01 (3.02) Acct: 4.89 (4.78) proj_loss: -0.5992 (-0.5998) time: 0.3680 data: 0.0018 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:10:11 (0.366 s / it) [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.68 Lm: 6.624 (6.619) Lt: 5.927 (5.922) Accm: 2.96 (3.06) Acct: 4.80 (4.76) proj_loss: -0.6135 (-0.6109) time: 0.3680 data: 0.0020 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.68 Lm: 6.718 (6.702) Lt: 6.000 (5.980) Accm: 2.76 (2.80) Acct: 4.22 (4.32) proj_loss: -0.6053 (-0.6058) time: 0.3680 data: 0.0016 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.68 Lm: 6.627 (6.632) Lt: 5.918 (5.914) Accm: 3.15 (3.16) Acct: 5.03 (5.02) proj_loss: -0.6211 (-0.6184) time: 0.3680 data: 0.0023 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:10:11 (0.366 s / it) [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:10:11 (0.366 s / it) [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:10:11 (0.366 s / it) [11-25 03:54:30] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.922), Acc m&t: 3.07 4.81, Remain: 0:41:21, Finish: 2024-11-24 12:35 [11-25 03:54:30] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.922), Acc m&t: 3.07 4.81, Remain: 0:41:20, Finish: 2024-11-24 12:35 [11-25 03:54:30] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.922), Acc m&t: 3.07 4.81, Remain: 0:41:19, Finish: 2024-11-24 12:35 [11-25 03:54:30] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.632 (6.638), Lt: 5.912 (5.922), Acc m&t: 3.07 4.81, Remain: 0:41:21, Finish: 2024-11-24 12:35 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:09:48 tlr: 5.3e-06 tnm: 0.68 Lm: 6.709 (6.709) Lt: 5.977 (5.977) Accm: 2.79 (2.79) Acct: 4.22 (4.22) proj_loss: -0.5938 (-0.5938) time: 0.3527 data: 0.0003 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:09:49 tlr: 5.3e-06 tnm: 0.68 Lm: 6.510 (6.510) Lt: 5.743 (5.743) Accm: 3.47 (3.47) Acct: 5.23 (5.23) proj_loss: -0.6157 (-0.6157) time: 0.3531 data: 0.0003 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:09:49 tlr: 5.3e-06 tnm: 0.68 Lm: 6.781 (6.781) Lt: 6.051 (6.051) Accm: 2.80 (2.80) Acct: 4.42 (4.42) proj_loss: -0.6039 (-0.6039) time: 0.3535 data: 0.0004 [11-25 03:54:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:09:41 tlr: 5.3e-06 tnm: 0.68 Lm: 6.587 (6.587) Lt: 5.880 (5.880) Accm: 3.06 (3.06) Acct: 4.67 (4.67) proj_loss: -0.6249 (-0.6249) time: 0.3481 data: 0.0004 [11-25 03:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:07:50 tlr: 5.1e-06 tnm: 0.69 Lm: 6.600 (6.600) Lt: 5.892 (5.892) Accm: 3.15 (3.15) Acct: 4.81 (4.81) proj_loss: -0.6170 (-0.6170) time: 0.3631 data: 0.0003 [11-25 03:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:07:50 tlr: 5.1e-06 tnm: 0.69 Lm: 6.772 (6.772) Lt: 6.043 (6.043) Accm: 2.80 (2.80) Acct: 4.45 (4.45) proj_loss: -0.6098 (-0.6098) time: 0.3631 data: 0.0002 [11-25 03:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:07:50 tlr: 5.1e-06 tnm: 0.69 Lm: 6.681 (6.681) Lt: 5.974 (5.974) Accm: 2.90 (2.90) Acct: 4.26 (4.26) proj_loss: -0.6114 (-0.6114) time: 0.3631 data: 0.0003 [11-25 03:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:07:50 tlr: 5.1e-06 tnm: 0.69 Lm: 6.723 (6.723) Lt: 6.006 (6.006) Accm: 2.84 (2.84) Acct: 4.34 (4.34) proj_loss: -0.5980 (-0.5980) time: 0.3631 data: 0.0002 [11-25 03:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:05:13 tlr: 5e-06 tnm: 0.70 Lm: 6.737 (6.741) Lt: 5.994 (6.002) Accm: 2.89 (2.88) Acct: 4.46 (4.54) proj_loss: -0.5938 (-0.5951) time: 0.3643 data: 0.0003 [11-25 03:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:05:13 tlr: 5e-06 tnm: 0.70 Lm: 6.763 (6.689) Lt: 6.035 (5.978) Accm: 2.80 (2.95) Acct: 4.48 (4.60) proj_loss: -0.6156 (-0.6173) time: 0.3643 data: 0.0003 [11-25 03:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:05:13 tlr: 5e-06 tnm: 0.70 Lm: 6.531 (6.631) Lt: 5.767 (5.905) Accm: 3.42 (3.08) Acct: 5.23 (4.63) proj_loss: -0.6071 (-0.6086) time: 0.3643 data: 0.0003 [11-25 03:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:05:13 tlr: 5e-06 tnm: 0.70 Lm: 6.587 (6.560) Lt: 5.880 (5.831) Accm: 3.23 (3.22) Acct: 4.96 (5.01) proj_loss: -0.6090 (-0.6107) time: 0.3643 data: 0.0003 [11-25 04:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:02:37 tlr: 4.8e-06 tnm: 0.68 Lm: 6.600 (6.596) Lt: 5.892 (5.866) Accm: 3.15 (3.12) Acct: 4.81 (4.85) proj_loss: -0.6036 (-0.6065) time: 0.3622 data: 0.0003 [11-25 04:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:02:37 tlr: 4.8e-06 tnm: 0.68 Lm: 6.671 (6.676) Lt: 5.948 (5.961) Accm: 2.92 (2.91) Acct: 4.47 (4.40) proj_loss: -0.6051 (-0.6060) time: 0.3622 data: 0.0003 [11-25 04:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:02:37 tlr: 4.8e-06 tnm: 0.68 Lm: 6.723 (6.665) Lt: 5.985 (5.914) Accm: 2.93 (3.03) Acct: 4.70 (4.73) proj_loss: -0.5980 (-0.5998) time: 0.3622 data: 0.0003 [11-25 04:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:02:37 tlr: 4.8e-06 tnm: 0.68 Lm: 6.662 (6.657) Lt: 5.942 (5.942) Accm: 2.97 (2.99) Acct: 4.67 (4.67) proj_loss: -0.6098 (-0.6131) time: 0.3622 data: 0.0003 [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.69 Lm: 6.623 (6.650) Lt: 5.919 (5.937) Accm: 3.12 (3.02) Acct: 4.87 (4.78) proj_loss: -0.6156 (-0.6148) time: 0.3637 data: 0.0018 [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:10:25 (0.375 s / it) [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.69 Lm: 6.628 (6.666) Lt: 5.909 (5.950) Accm: 2.78 (2.88) Acct: 4.12 (4.34) proj_loss: -0.6031 (-0.6035) time: 0.3637 data: 0.0020 [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.69 Lm: 6.709 (6.655) Lt: 5.977 (5.917) Accm: 2.97 (3.05) Acct: 4.94 (4.79) proj_loss: -0.6021 (-0.6031) time: 0.3637 data: 0.0018 [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.69 Lm: 6.587 (6.579) Lt: 5.880 (5.844) Accm: 3.23 (3.15) Acct: 4.96 (4.94) proj_loss: -0.6018 (-0.6055) time: 0.3637 data: 0.0020 [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:10:25 (0.375 s / it) [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:10:25 (0.375 s / it) [11-25 04:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:10:25 (0.375 s / it) [11-25 04:04:55] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.632 (6.634), Lt: 5.912 (5.916), Acc m&t: 3.07 4.81, Remain: 0:30:31, Finish: 2024-11-24 12:35 [11-25 04:04:55] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.632 (6.634), Lt: 5.912 (5.916), Acc m&t: 3.07 4.81, Remain: 0:30:32, Finish: 2024-11-24 12:35 [11-25 04:04:55] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.632 (6.634), Lt: 5.912 (5.916), Acc m&t: 3.07 4.81, Remain: 0:30:31, Finish: 2024-11-24 12:35 [11-25 04:04:55] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.632 (6.634), Lt: 5.912 (5.916), Acc m&t: 3.07 4.81, Remain: 0:30:33, Finish: 2024-11-24 12:35 [11-25 04:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:09:44 tlr: 4.6e-06 tnm: 0.68 Lm: 6.402 (6.402) Lt: 5.681 (5.681) Accm: 3.52 (3.52) Acct: 5.82 (5.82) proj_loss: -0.6007 (-0.6007) time: 0.3501 data: 0.0004 [11-25 04:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:10:03 tlr: 4.6e-06 tnm: 0.68 Lm: 6.411 (6.411) Lt: 5.668 (5.668) Accm: 3.77 (3.77) Acct: 5.73 (5.73) proj_loss: -0.6029 (-0.6029) time: 0.3616 data: 0.0004 [11-25 04:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:10:09 tlr: 4.6e-06 tnm: 0.68 Lm: 6.470 (6.470) Lt: 5.690 (5.690) Accm: 3.53 (3.53) Acct: 5.85 (5.85) proj_loss: -0.6093 (-0.6093) time: 0.3652 data: 0.0004 [11-25 04:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:10:10 tlr: 4.6e-06 tnm: 0.68 Lm: 6.807 (6.807) Lt: 6.141 (6.141) Accm: 2.56 (2.56) Acct: 4.08 (4.08) proj_loss: -0.6227 (-0.6227) time: 0.3657 data: 0.0003 [11-25 04:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:07:37 tlr: 4.4e-06 tnm: 0.68 Lm: 6.778 (6.778) Lt: 6.127 (6.127) Accm: 2.53 (2.53) Acct: 3.85 (3.85) proj_loss: -0.6194 (-0.6194) time: 0.3631 data: 0.0003 [11-25 04:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:07:37 tlr: 4.4e-06 tnm: 0.68 Lm: 6.549 (6.549) Lt: 5.798 (5.798) Accm: 3.43 (3.43) Acct: 5.32 (5.32) proj_loss: -0.6047 (-0.6047) time: 0.3631 data: 0.0003 [11-25 04:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:07:37 tlr: 4.4e-06 tnm: 0.68 Lm: 6.438 (6.438) Lt: 5.705 (5.705) Accm: 3.68 (3.68) Acct: 5.78 (5.78) proj_loss: -0.5967 (-0.5967) time: 0.3631 data: 0.0003 [11-25 04:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:07:37 tlr: 4.4e-06 tnm: 0.68 Lm: 6.514 (6.514) Lt: 5.748 (5.748) Accm: 3.47 (3.47) Acct: 5.73 (5.73) proj_loss: -0.6165 (-0.6165) time: 0.3631 data: 0.0003 [11-25 04:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:05:06 tlr: 4.2e-06 tnm: 0.69 Lm: 6.557 (6.579) Lt: 5.806 (5.808) Accm: 3.42 (3.32) Acct: 5.61 (5.44) proj_loss: -0.6093 (-0.6089) time: 0.3607 data: 0.0003 [11-25 04:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:05:06 tlr: 4.2e-06 tnm: 0.69 Lm: 6.688 (6.602) Lt: 5.927 (5.858) Accm: 3.09 (3.24) Acct: 4.91 (5.04) proj_loss: -0.6065 (-0.6079) time: 0.3607 data: 0.0003 [11-25 04:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:05:06 tlr: 4.2e-06 tnm: 0.69 Lm: 6.750 (6.680) Lt: 6.112 (5.995) Accm: 2.56 (2.84) Acct: 4.08 (4.38) proj_loss: -0.6205 (-0.6198) time: 0.3606 data: 0.0003 [11-25 04:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:05:06 tlr: 4.2e-06 tnm: 0.69 Lm: 6.474 (6.453) Lt: 5.730 (5.727) Accm: 3.52 (3.61) Acct: 5.73 (5.66) proj_loss: -0.5927 (-0.5953) time: 0.3606 data: 0.0003 [11-25 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:02:33 tlr: 4e-06 tnm: 0.69 Lm: 6.478 (6.501) Lt: 5.749 (5.776) Accm: 3.50 (3.48) Acct: 5.58 (5.45) proj_loss: -0.5958 (-0.5962) time: 0.3635 data: 0.0003 [11-25 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:02:33 tlr: 4e-06 tnm: 0.69 Lm: 6.683 (6.621) Lt: 5.944 (5.884) Accm: 2.98 (3.13) Acct: 4.70 (4.90) proj_loss: -0.6068 (-0.6077) time: 0.3635 data: 0.0003 [11-25 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:02:33 tlr: 4e-06 tnm: 0.69 Lm: 6.605 (6.597) Lt: 5.865 (5.836) Accm: 3.22 (3.21) Acct: 5.23 (5.19) proj_loss: -0.6082 (-0.6085) time: 0.3635 data: 0.0002 [11-25 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:02:33 tlr: 4e-06 tnm: 0.69 Lm: 6.656 (6.650) Lt: 5.953 (5.945) Accm: 3.01 (3.01) Acct: 4.77 (4.70) proj_loss: -0.6183 (-0.6124) time: 0.3635 data: 0.0003 [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.69 Lm: 6.564 (6.633) Lt: 5.870 (5.930) Accm: 3.29 (3.06) Acct: 5.13 (4.79) proj_loss: -0.6162 (-0.6099) time: 0.3650 data: 0.0019 [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:10:09 (0.365 s / it) [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.69 Lm: 6.678 (6.617) Lt: 5.927 (5.879) Accm: 3.09 (3.16) Acct: 4.91 (4.95) proj_loss: -0.6065 (-0.6027) time: 0.3650 data: 0.0016 [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.69 Lm: 6.483 (6.522) Lt: 5.769 (5.806) Accm: 3.48 (3.35) Acct: 5.42 (5.27) proj_loss: -0.5989 (-0.5990) time: 0.3650 data: 0.0025 [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.69 Lm: 6.613 (6.601) Lt: 5.889 (5.847) Accm: 3.32 (3.23) Acct: 4.91 (5.13) proj_loss: -0.6093 (-0.6118) time: 0.3650 data: 0.0020 [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:10:09 (0.365 s / it) [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:10:09 (0.365 s / it) [11-25 04:15:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:10:09 (0.365 s / it) [11-25 04:15:05] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 0:20:29, Finish: 2024-11-24 12:35 [11-25 04:15:05] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 0:20:28, Finish: 2024-11-24 12:35 [11-25 04:15:05] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 0:20:29, Finish: 2024-11-24 12:35 [11-25 04:15:05] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.913), Acc m&t: 3.07 4.81, Remain: 0:20:28, Finish: 2024-11-24 12:35 [11-25 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:09:33 tlr: 3.9e-06 tnm: 0.69 Lm: 6.692 (6.692) Lt: 5.929 (5.929) Accm: 3.09 (3.09) Acct: 5.06 (5.06) proj_loss: -0.5919 (-0.5919) time: 0.3434 data: 0.0004 [11-25 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:09:33 tlr: 3.9e-06 tnm: 0.69 Lm: 6.731 (6.731) Lt: 6.017 (6.017) Accm: 2.83 (2.83) Acct: 4.49 (4.49) proj_loss: -0.6136 (-0.6136) time: 0.3434 data: 0.0004 [11-25 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:09:31 tlr: 3.9e-06 tnm: 0.69 Lm: 6.534 (6.534) Lt: 5.852 (5.852) Accm: 3.54 (3.54) Acct: 5.17 (5.17) proj_loss: -0.6246 (-0.6246) time: 0.3427 data: 0.0003 [11-25 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:09:33 tlr: 3.9e-06 tnm: 0.69 Lm: 6.509 (6.509) Lt: 5.783 (5.783) Accm: 3.04 (3.04) Acct: 4.53 (4.53) proj_loss: -0.6277 (-0.6277) time: 0.3437 data: 0.0004 [11-25 04:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:07:33 tlr: 3.7e-06 tnm: 0.69 Lm: 6.557 (6.557) Lt: 5.795 (5.795) Accm: 2.99 (2.99) Acct: 4.70 (4.70) proj_loss: -0.6068 (-0.6068) time: 0.3606 data: 0.0003 [11-25 04:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:07:33 tlr: 3.7e-06 tnm: 0.69 Lm: 6.551 (6.551) Lt: 5.881 (5.881) Accm: 3.29 (3.29) Acct: 4.91 (4.91) proj_loss: -0.6148 (-0.6148) time: 0.3606 data: 0.0003 [11-25 04:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:07:33 tlr: 3.7e-06 tnm: 0.69 Lm: 6.691 (6.691) Lt: 6.009 (6.009) Accm: 2.92 (2.92) Acct: 4.41 (4.41) proj_loss: -0.6130 (-0.6130) time: 0.3606 data: 0.0002 [11-25 04:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:07:33 tlr: 3.7e-06 tnm: 0.69 Lm: 6.646 (6.646) Lt: 5.916 (5.916) Accm: 3.10 (3.10) Acct: 4.99 (4.99) proj_loss: -0.6121 (-0.6121) time: 0.3606 data: 0.0003 [11-25 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:05:03 tlr: 3.5e-06 tnm: 0.68 Lm: 6.676 (6.656) Lt: 5.929 (5.934) Accm: 3.11 (3.13) Acct: 4.99 (4.99) proj_loss: -0.5948 (-0.6063) time: 0.3646 data: 0.0003 [11-25 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:05:03 tlr: 3.5e-06 tnm: 0.68 Lm: 6.650 (6.675) Lt: 6.000 (5.963) Accm: 3.02 (3.06) Acct: 4.49 (4.72) proj_loss: -0.6124 (-0.6056) time: 0.3646 data: 0.0002 [11-25 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:05:03 tlr: 3.5e-06 tnm: 0.68 Lm: 6.543 (6.552) Lt: 5.791 (5.794) Accm: 3.04 (3.02) Acct: 4.87 (4.84) proj_loss: -0.6045 (-0.6060) time: 0.3646 data: 0.0003 [11-25 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:05:03 tlr: 3.5e-06 tnm: 0.68 Lm: 6.568 (6.584) Lt: 5.910 (5.915) Accm: 3.04 (3.20) Acct: 4.73 (4.85) proj_loss: -0.6239 (-0.6178) time: 0.3646 data: 0.0003 [11-25 04:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:02:32 tlr: 3.3e-06 tnm: 0.68 Lm: 6.559 (6.575) Lt: 5.881 (5.891) Accm: 3.17 (3.22) Acct: 4.95 (4.95) proj_loss: -0.6145 (-0.6138) time: 0.3619 data: 0.0003 [11-25 04:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:02:32 tlr: 3.3e-06 tnm: 0.68 Lm: 6.647 (6.630) Lt: 5.936 (5.913) Accm: 3.12 (3.10) Acct: 4.78 (4.81) proj_loss: -0.6130 (-0.6101) time: 0.3619 data: 0.0002 [11-25 04:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:02:32 tlr: 3.3e-06 tnm: 0.68 Lm: 6.638 (6.637) Lt: 5.916 (5.916) Accm: 3.16 (3.25) Acct: 5.03 (5.21) proj_loss: -0.6004 (-0.6063) time: 0.3619 data: 0.0002 [11-25 04:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:02:32 tlr: 3.3e-06 tnm: 0.68 Lm: 6.574 (6.589) Lt: 5.799 (5.842) Accm: 2.99 (2.97) Acct: 4.70 (4.72) proj_loss: -0.6073 (-0.6070) time: 0.3618 data: 0.0002 [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.68 Lm: 6.575 (6.586) Lt: 5.807 (5.844) Accm: 3.04 (3.09) Acct: 4.87 (4.86) proj_loss: -0.6101 (-0.6084) time: 0.3648 data: 0.0019 [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.68 Lm: 6.601 (6.611) Lt: 5.902 (5.883) Accm: 3.21 (3.34) Acct: 5.06 (5.27) proj_loss: -0.5962 (-0.6042) time: 0.3648 data: 0.0016 [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.68 Lm: 6.568 (6.608) Lt: 5.910 (5.921) Accm: 3.04 (3.15) Acct: 4.73 (4.85) proj_loss: -0.6050 (-0.6088) time: 0.3648 data: 0.0018 [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.68 Lm: 6.650 (6.674) Lt: 6.000 (5.956) Accm: 3.02 (3.00) Acct: 4.49 (4.62) proj_loss: -0.6124 (-0.6097) time: 0.3648 data: 0.0016 [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:10:11 (0.366 s / it) [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:10:11 (0.366 s / it) [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:10:11 (0.366 s / it) [11-25 04:25:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:10:11 (0.366 s / it) [11-25 04:25:16] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:10:16, Finish: 2024-11-24 12:35 [11-25 04:25:16] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:10:15, Finish: 2024-11-24 12:35 [11-25 04:25:16] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:10:15, Finish: 2024-11-24 12:35 [11-25 04:25:16] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.632 (6.636), Lt: 5.912 (5.919), Acc m&t: 3.07 4.81, Remain: 0:10:16, Finish: 2024-11-24 12:35 [11-25 04:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:09:44 tlr: 3.1e-06 tnm: 0.68 Lm: 6.569 (6.569) Lt: 5.839 (5.839) Accm: 3.26 (3.26) Acct: 5.10 (5.10) proj_loss: -0.6113 (-0.6113) time: 0.3501 data: 0.0004 [11-25 04:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:09:45 tlr: 3.1e-06 tnm: 0.68 Lm: 6.640 (6.640) Lt: 5.937 (5.937) Accm: 3.02 (3.02) Acct: 4.79 (4.79) proj_loss: -0.6125 (-0.6125) time: 0.3506 data: 0.0004 [11-25 04:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:09:45 tlr: 3.1e-06 tnm: 0.68 Lm: 6.657 (6.657) Lt: 5.993 (5.993) Accm: 2.86 (2.86) Acct: 4.37 (4.37) proj_loss: -0.6423 (-0.6423) time: 0.3510 data: 0.0003 [11-25 04:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:09:45 tlr: 3.1e-06 tnm: 0.68 Lm: 6.648 (6.648) Lt: 5.955 (5.955) Accm: 3.00 (3.00) Acct: 4.49 (4.49) proj_loss: -0.6130 (-0.6130) time: 0.3511 data: 0.0003 [11-25 04:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:07:54 tlr: 2.9e-06 tnm: 0.68 Lm: 6.700 (6.700) Lt: 5.996 (5.996) Accm: 2.86 (2.86) Acct: 4.36 (4.36) proj_loss: -0.6051 (-0.6051) time: 0.3635 data: 0.0003 [11-25 04:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:07:54 tlr: 2.9e-06 tnm: 0.68 Lm: 6.641 (6.641) Lt: 5.933 (5.933) Accm: 2.91 (2.91) Acct: 4.77 (4.77) proj_loss: -0.6104 (-0.6104) time: 0.3635 data: 0.0003 [11-25 04:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:07:54 tlr: 2.9e-06 tnm: 0.68 Lm: 6.545 (6.545) Lt: 5.823 (5.823) Accm: 3.39 (3.39) Acct: 5.20 (5.20) proj_loss: -0.6090 (-0.6090) time: 0.3635 data: 0.0003 [11-25 04:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:07:54 tlr: 2.9e-06 tnm: 0.68 Lm: 6.541 (6.541) Lt: 5.846 (5.846) Accm: 3.36 (3.36) Acct: 5.27 (5.27) proj_loss: -0.6292 (-0.6292) time: 0.3635 data: 0.0003 [11-25 04:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:05:13 tlr: 2.8e-06 tnm: 0.68 Lm: 6.540 (6.540) Lt: 5.826 (5.839) Accm: 3.45 (3.39) Acct: 5.06 (5.20) proj_loss: -0.6160 (-0.6155) time: 0.3615 data: 0.0002 [11-25 04:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:05:13 tlr: 2.8e-06 tnm: 0.68 Lm: 6.641 (6.664) Lt: 5.937 (5.949) Accm: 2.92 (2.91) Acct: 4.75 (4.64) proj_loss: -0.6125 (-0.6114) time: 0.3615 data: 0.0003 [11-25 04:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:05:13 tlr: 2.8e-06 tnm: 0.68 Lm: 6.648 (6.620) Lt: 5.955 (5.911) Accm: 3.00 (3.18) Acct: 4.49 (4.90) proj_loss: -0.6130 (-0.6145) time: 0.3615 data: 0.0003 [11-25 04:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:05:13 tlr: 2.8e-06 tnm: 0.68 Lm: 6.569 (6.561) Lt: 5.839 (5.833) Accm: 3.45 (3.41) Acct: 5.30 (5.25) proj_loss: -0.6112 (-0.6097) time: 0.3615 data: 0.0003 [11-25 04:33:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:02:37 tlr: 2.6e-06 tnm: 0.68 Lm: 6.545 (6.543) Lt: 5.823 (5.807) Accm: 3.35 (3.37) Acct: 5.23 (5.23) proj_loss: -0.6112 (-0.6141) time: 0.3613 data: 0.0002 [11-25 04:33:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:02:37 tlr: 2.6e-06 tnm: 0.68 Lm: 6.598 (6.610) Lt: 5.910 (5.923) Accm: 3.15 (3.15) Acct: 4.72 (4.80) proj_loss: -0.6109 (-0.6131) time: 0.3613 data: 0.0003 [11-25 04:33:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:02:37 tlr: 2.6e-06 tnm: 0.68 Lm: 6.645 (6.661) Lt: 5.959 (5.957) Accm: 2.87 (2.89) Acct: 4.56 (4.57) proj_loss: -0.6129 (-0.6167) time: 0.3613 data: 0.0003 [11-25 04:33:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:02:37 tlr: 2.6e-06 tnm: 0.68 Lm: 6.644 (6.625) Lt: 5.939 (5.914) Accm: 2.94 (3.11) Acct: 4.60 (4.85) proj_loss: -0.6138 (-0.6145) time: 0.3613 data: 0.0003 [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.68 Lm: 6.648 (6.656) Lt: 5.955 (5.952) Accm: 2.88 (3.01) Acct: 4.49 (4.76) proj_loss: -0.6130 (-0.6094) time: 0.3653 data: 0.0016 [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:10:26 (0.375 s / it) [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.68 Lm: 6.641 (6.648) Lt: 5.937 (5.939) Accm: 2.92 (2.99) Acct: 4.75 (4.79) proj_loss: -0.6125 (-0.6121) time: 0.3653 data: 0.0020 [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.68 Lm: 6.569 (6.562) Lt: 5.839 (5.825) Accm: 3.26 (3.28) Acct: 5.17 (5.08) proj_loss: -0.6112 (-0.6088) time: 0.3653 data: 0.0017 [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.68 Lm: 6.657 (6.641) Lt: 5.957 (5.929) Accm: 2.86 (3.08) Acct: 4.53 (4.75) proj_loss: -0.6076 (-0.6120) time: 0.3653 data: 0.0021 [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:10:26 (0.375 s / it) [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:10:26 (0.375 s / it) [11-25 04:35:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:10:26 (0.375 s / it) [11-25 04:38:07] (home/user/VAR/trainer.py, line 114)=> FID: 3.38490989388589 [11-25 04:38:08] (/home/user/VAR/train.py , line 259)=> [*] [ep349] (val 50000) Lm: 6.6260, Lt: 5.9065, Acc m&t: 3.09 4.85, Val cost: 144.81s [11-25 04:38:08] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth [11-25 04:38:22] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.626 (6.626), Lt: 5.906 (5.906), Acc m&t: 3.09 4.85, Remain: 0:00:05, Finish: 2024-11-24 12:35 [11-25 04:38:22] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.626 (6.626), Lt: 5.906 (5.906), Acc m&t: 3.09 4.85, Remain: 0:00:05, Finish: 2024-11-24 12:35 [11-25 04:38:22] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.626 (6.626), Lt: 5.906 (5.906), Acc m&t: 3.09 4.85, Remain: 0:00:05, Finish: 2024-11-24 12:35 [11-25 04:38:22] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.626 (6.626), Lt: 5.906 (5.906), Acc m&t: 3.09 4.85, Remain: 0:00:05, Finish: 2024-11-24 12:35 [11-25 04:38:22] (/home/user/VAR/train.py , line 282)=> [11-25 04:38:22] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 61.5h, Lm: 6.626 (6.626049759984016), Lt: 5.906 (5.906487210094928) [11-25 04:38:22] (/home/user/VAR/train.py , line 284)=> [11-25 04:38:33] (/home/user/VAR/train.py , line 291)=> final args: { data_path : /mnt/localssd/ImageNet2012/ exp_name : text vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt vfast : 2 tfast : 2 depth : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : 3.0918561306316406 acc_tail : 4.852896938100457 L_mean : 6.626049759984016 L_tail : 5.906487210094928 vacc_mean : None vacc_tail : None vL_mean : None vL_tail : None grad_norm : 0.6797537446022034 cur_lr : 2.4000000000000003e-06 cur_wd : 0.05 cur_it : 1669/1669 cur_ep : 350/350 remain_time : - finish_time : 2024-11-24 12:37 local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 branch : main commit_msg : add commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 } [11-25 04:38:22] (/home/user/VAR/train.py , line 282)=> [11-25 04:38:22] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 61.5h, Lm: 6.626 (6.626049759984016), Lt: 5.906 (5.906487210094928) [11-25 04:38:22] (/home/user/VAR/train.py , line 284)=> [11-25 04:38:33] (/home/user/VAR/train.py , line 291)=> final args: { data_path : /mnt/localssd/ImageNet2012/ exp_name : text vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt vfast : 2 tfast : 2 depth : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : 3.0918561306316406 acc_tail : 4.852896938100457 L_mean : 6.626049759984016 L_tail : 5.906487210094928 vacc_mean : None vacc_tail : None vL_mean : None vL_tail : None grad_norm : 0.6797537446022034 cur_lr : 2.4000000000000003e-06 cur_wd : 0.05 cur_it : 1669/1669 cur_ep : 350/350 remain_time : - finish_time : 2024-11-24 12:37 local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 commit_msg : add branch : main } [11-25 04:38:22] (/home/user/VAR/train.py , line 282)=> [11-25 04:38:22] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 61.5h, Lm: 6.626 (6.626049759984016), Lt: 5.906 (5.906487210094928) [11-25 04:38:22] (/home/user/VAR/train.py , line 284)=> [11-25 04:38:33] (/home/user/VAR/train.py , line 291)=> final args: { data_path : /mnt/localssd/ImageNet2012/ exp_name : text vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt vfast : 2 tfast : 2 depth : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : 3.0918561306316406 acc_tail : 4.852896938100457 L_mean : 6.626049759984016 L_tail : 5.906487210094928 vacc_mean : None vacc_tail : None vL_mean : None vL_tail : None grad_norm : 0.6797537446022034 cur_lr : 2.4000000000000003e-06 cur_wd : 0.05 cur_it : 1669/1669 cur_ep : 350/350 remain_time : - finish_time : 2024-11-24 12:37 local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 commit_msg : add commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 branch : main } [11-25 04:38:22] (/home/user/VAR/train.py , line 282)=> [11-25 04:38:22] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 61.5h, Lm: 6.626 (6.626049759984016), Lt: 5.906 (5.906487210094928) [11-25 04:38:22] (/home/user/VAR/train.py , line 284)=> [11-25 04:38:34] (/home/user/VAR/train.py , line 291)=> final args: { data_path : /mnt/localssd/ImageNet2012/ exp_name : text vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt vfast : 2 tfast : 2 depth : 16 ini : -1 hd : 0.02 aln : 0.5 alng : 0.0001 fp16 : 1 tblr : 8e-05 tlr : 0.00024000000000000003 twd : 0.05 twde : 0.05 tclip : 2.0 ls : 0.0 bs : 768 batch_size : 24 glb_batch_size : 768 ac : 1 ep : 350 wp : 7.0 wp0 : 0.005 wpe : 0.01 sche : lin0 opt : adamw afuse : True saln : False anorm : True fuse : True pn : 1_1_2_3_3_4_5_6_8_11 patch_size : 11 patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11) resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121) data_load_reso : 256 mid_reso : 1.125 hflip : False workers : 12 pg : 0.0 pg0 : 4 pgwp : 1.1666666666666667 cmd : --depth=16 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d16/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False acc_mean : 3.0918561306316406 acc_tail : 4.852896938100457 L_mean : 6.626049759984016 L_tail : 5.906487210094928 vacc_mean : 3.0908424854278564 vacc_tail : 4.939289093017578 vL_mean : 6.644288539886475 vL_tail : 5.8723859786987305 grad_norm : 0.6797537446022034 cur_lr : 2.4000000000000003e-06 cur_wd : 0.05 cur_it : 1669/1669 cur_ep : 350/350 remain_time : - finish_time : 2024-11-24 12:37 local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/ tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d16/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05 log_txt_path : /sensei-fs/users/xiangl/exp141-var-d16/log.txt last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d16/ar-ckpt-last.pth tf32 : True seed : None codebook_size : 16384 codebook_embed_dim : 14 codebook_l2_norm : True codebook_show_usage : True commit_loss_beta : 0.25 entropy_loss_ratio : 0.0 soft_entropy : True scale : 1.0 test_model : True encoder_ch_mult : [1, 1, 2, 2, 4] decoder_ch_mult : [1, 1, 2, 2, 4] z_channels : 256 dropout_p : 0.0 clip_norm : True v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11] enc_type : dinov2 dec_type : dinov2 semantic_guide : dinov2 num_latent_tokens : 121 encoder_model : vit_base_patch14_dinov2.lvd142m decoder_model : vit_base_patch14_dinov2.lvd142m abs_pos_embed : True share_quant_resi : 4 product_quant : 2 half_sem : True p_drop : 0.0 joint_sample : False infer_ckpt : masking_method : uniform st_ep : 50 ed_ep : 150 p_rand : 0.0 encoder_depth : 6 projector_dim : 2048 z_dims : [768] proj_coef : 0.2 query : False same_seed_for_all_ranks: 0 local_debug : False dbg_nan : False cfg : [3.5, 3.5] top_k : 900 top_p : 0.95 commit_msg : add branch : main commit_id : a2229298db3e1d35d196f16623f86dea25402aa2 }