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JPQ_MSRVTT_1kB.txt
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Experiment directory: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB
Preparing the dataloaders ...
Loading dataset MSRVTT_miech_trainval in ram ...
Finish loading dataset MSRVTT_miech_trainval in ram, taking 226.37497901916504 s.
Loading dataset MSRVTT_miech_test in ram ...
Finish loading dataset MSRVTT_miech_test in ram, taking 29.59237766265869 s.
Loading dataset MSRVTT_miech_test in ram ...
Finish loading dataset MSRVTT_miech_test in ram, taking 36.01080846786499 s.
Training ...
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch0.pth ...
Done in 15.156s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch0.pth ...
Done in 16.729s
epoch : 0
loss : 0
learning_rate : 5e-05
n_samples : 0
n_steps : 0
MSRVTT_miech_test/t2v_metrics/R1: 0.2
MSRVTT_miech_test/t2v_metrics/R5: 0.5
MSRVTT_miech_test/t2v_metrics/R10: 1.1
MSRVTT_miech_test/t2v_metrics/R50: 4.6
MSRVTT_miech_test/t2v_metrics/MedR: 499.0
MSRVTT_miech_test/t2v_metrics/MeanR: 500.947
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 0.4791419857062784
MSRVTT_miech_test/v2t_metrics/R1: 0.1
MSRVTT_miech_test/v2t_metrics/R5: 0.4
MSRVTT_miech_test/v2t_metrics/R10: 1.1
MSRVTT_miech_test/v2t_metrics/R50: 4.9
MSRVTT_miech_test/v2t_metrics/MedR: 513.0
MSRVTT_miech_test/v2t_metrics/MeanR: 502.58
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 0.3530348335326063
mnt_best : 0.4791419857062784
not_improved_count: 0
Train Epoch: 1 [1/250 128/32000 (0%)] Loss: 0.10645 (QuantReg: 0.14098) QuantErr: 0.14098 batch_time=25.39863
Train Epoch: 1 [12/250 1536/32000 (5%)] Loss: 0.09863 (QuantReg: 0.14058) QuantErr: 0.14058 batch_time=0.52269
Train Epoch: 1 [23/250 2944/32000 (9%)] Loss: 0.09070 (QuantReg: 0.13757) QuantErr: 0.13757 batch_time=0.43933
Train Epoch: 1 [34/250 4352/32000 (14%)] Loss: 0.07904 (QuantReg: 0.13656) QuantErr: 0.13656 batch_time=0.45008
Train Epoch: 1 [45/250 5760/32000 (18%)] Loss: 0.06500 (QuantReg: 0.13594) QuantErr: 0.13594 batch_time=0.47692
Train Epoch: 1 [56/250 7168/32000 (22%)] Loss: 0.05145 (QuantReg: 0.13515) QuantErr: 0.13515 batch_time=0.43938
Experiment directory: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB
Preparing the dataloaders ...
Loading dataset MSRVTT_miech_trainval in ram ...
Finish loading dataset MSRVTT_miech_trainval in ram, taking 215.7493917942047 s.
Loading dataset MSRVTT_miech_test in ram ...
Finish loading dataset MSRVTT_miech_test in ram, taking 35.81242370605469 s.
Loading dataset MSRVTT_miech_test in ram ...
Finish loading dataset MSRVTT_miech_test in ram, taking 39.24282789230347 s.
Training ...
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch0.pth ...
Done in 1.593s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch0.pth ...
Done in 3.113s
epoch : 0
loss : 0
learning_rate : 5e-05
n_samples : 0
n_steps : 0
MSRVTT_miech_test/t2v_metrics/R1: 0.2
MSRVTT_miech_test/t2v_metrics/R5: 0.5
MSRVTT_miech_test/t2v_metrics/R10: 1.1
MSRVTT_miech_test/t2v_metrics/R50: 4.6
MSRVTT_miech_test/t2v_metrics/MedR: 499.0
MSRVTT_miech_test/t2v_metrics/MeanR: 500.947
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 0.4791419857062784
MSRVTT_miech_test/v2t_metrics/R1: 0.1
MSRVTT_miech_test/v2t_metrics/R5: 0.4
MSRVTT_miech_test/v2t_metrics/R10: 1.1
MSRVTT_miech_test/v2t_metrics/R50: 4.9
MSRVTT_miech_test/v2t_metrics/MedR: 513.0
MSRVTT_miech_test/v2t_metrics/MeanR: 502.58
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 0.3530348335326063
mnt_best : 0.4791419857062784
not_improved_count: 0
Train Epoch: 1 [1/250 128/32000 (0%)] Loss: 0.10718 (QuantReg: 0.14075) QuantErr: 0.14075 batch_time=21.22404
Train Epoch: 1 [12/250 1536/32000 (5%)] Loss: 0.10107 (QuantReg: 0.13972) QuantErr: 0.13972 batch_time=0.45459
Train Epoch: 1 [23/250 2944/32000 (9%)] Loss: 0.08960 (QuantReg: 0.14112) QuantErr: 0.14112 batch_time=0.43437
Train Epoch: 1 [34/250 4352/32000 (14%)] Loss: 0.08008 (QuantReg: 0.13774) QuantErr: 0.13774 batch_time=0.44218
Train Epoch: 1 [45/250 5760/32000 (18%)] Loss: 0.06091 (QuantReg: 0.13721) QuantErr: 0.13721 batch_time=0.43990
Train Epoch: 1 [56/250 7168/32000 (22%)] Loss: 0.05289 (QuantReg: 0.13905) QuantErr: 0.13905 batch_time=0.42764
Train Epoch: 1 [67/250 8576/32000 (27%)] Loss: 0.04919 (QuantReg: 0.13638) QuantErr: 0.13638 batch_time=7.13697
Train Epoch: 1 [78/250 9984/32000 (31%)] Loss: 0.03583 (QuantReg: 0.13729) QuantErr: 0.13729 batch_time=0.41266
Train Epoch: 1 [89/250 11392/32000 (36%)] Loss: 0.03510 (QuantReg: 0.13610) QuantErr: 0.13610 batch_time=0.46232
Train Epoch: 1 [100/250 12800/32000 (40%)] Loss: 0.03665 (QuantReg: 0.13668) QuantErr: 0.13668 batch_time=0.44448
Train Epoch: 1 [111/250 14208/32000 (44%)] Loss: 0.02586 (QuantReg: 0.13795) QuantErr: 0.13795 batch_time=0.42687
Train Epoch: 1 [122/250 15616/32000 (49%)] Loss: 0.02562 (QuantReg: 0.13802) QuantErr: 0.13802 batch_time=0.45068
Train Epoch: 1 [133/250 17024/32000 (53%)] Loss: 0.02805 (QuantReg: 0.13772) QuantErr: 0.13772 batch_time=0.48664
Train Epoch: 1 [144/250 18432/32000 (58%)] Loss: 0.02422 (QuantReg: 0.13790) QuantErr: 0.13790 batch_time=0.42895
Train Epoch: 1 [155/250 19840/32000 (62%)] Loss: 0.02664 (QuantReg: 0.13823) QuantErr: 0.13823 batch_time=0.44857
Train Epoch: 1 [166/250 21248/32000 (66%)] Loss: 0.02176 (QuantReg: 0.13762) QuantErr: 0.13762 batch_time=0.45035
Train Epoch: 1 [177/250 22656/32000 (71%)] Loss: 0.02097 (QuantReg: 0.13839) QuantErr: 0.13839 batch_time=0.46375
Train Epoch: 1 [188/250 24064/32000 (75%)] Loss: 0.02496 (QuantReg: 0.13739) QuantErr: 0.13739 batch_time=0.43404
Train Epoch: 1 [199/250 25472/32000 (80%)] Loss: 0.02426 (QuantReg: 0.13575) QuantErr: 0.13575 batch_time=0.80779
Train Epoch: 1 [210/250 26880/32000 (84%)] Loss: 0.02301 (QuantReg: 0.13474) QuantErr: 0.13474 batch_time=0.46476
Train Epoch: 1 [221/250 28288/32000 (88%)] Loss: 0.02191 (QuantReg: 0.13351) QuantErr: 0.13351 batch_time=0.43754
Train Epoch: 1 [232/250 29696/32000 (93%)] Loss: 0.02057 (QuantReg: 0.13453) QuantErr: 0.13453 batch_time=0.41491
Train Epoch: 1 [243/250 31104/32000 (97%)] Loss: 0.01608 (QuantReg: 0.13570) QuantErr: 0.13570 batch_time=0.43182
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch1.pth ...
Done in 12.302s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch1.pth ...
Done in 16.376s
epoch : 1
loss : 0.040294342041015625
quant_reg : 0.13712939101457597
quant_err : 0.13712939101457597
learning_rate : 5e-05
n_samples : 32000
n_steps : 250
MSRVTT_miech_test/t2v_metrics/R1: 4.1
MSRVTT_miech_test/t2v_metrics/R5: 14.6
MSRVTT_miech_test/t2v_metrics/R10: 22.2
MSRVTT_miech_test/t2v_metrics/R50: 59.9
MSRVTT_miech_test/t2v_metrics/MedR: 35.0
MSRVTT_miech_test/t2v_metrics/MeanR: 76.638
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 10.994189769025553
MSRVTT_miech_test/v2t_metrics/R1: 3.0
MSRVTT_miech_test/v2t_metrics/R5: 12.5
MSRVTT_miech_test/v2t_metrics/R10: 22.5
MSRVTT_miech_test/v2t_metrics/R50: 61.1
MSRVTT_miech_test/v2t_metrics/MedR: 34.0
MSRVTT_miech_test/v2t_metrics/MeanR: 76.7785
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 9.44940787421155
mnt_best : 10.994189769025553
not_improved_count: 0
Train Epoch: 2 [1/250 128/32000 (0%)] Loss: 0.02122 (QuantReg: 0.13524) QuantErr: 0.13524 batch_time=27.57047
Train Epoch: 2 [12/250 1536/32000 (5%)] Loss: 0.02386 (QuantReg: 0.13733) QuantErr: 0.13733 batch_time=0.45430
Train Epoch: 2 [23/250 2944/32000 (9%)] Loss: 0.02129 (QuantReg: 0.13556) QuantErr: 0.13556 batch_time=0.44100
Train Epoch: 2 [34/250 4352/32000 (14%)] Loss: 0.02141 (QuantReg: 0.13482) QuantErr: 0.13482 batch_time=0.45551
Train Epoch: 2 [45/250 5760/32000 (18%)] Loss: 0.01874 (QuantReg: 0.13400) QuantErr: 0.13400 batch_time=0.45515
Train Epoch: 2 [56/250 7168/32000 (22%)] Loss: 0.02002 (QuantReg: 0.13653) QuantErr: 0.13653 batch_time=0.43717
Train Epoch: 2 [67/250 8576/32000 (27%)] Loss: 0.01553 (QuantReg: 0.13467) QuantErr: 0.13467 batch_time=1.42129
Train Epoch: 2 [78/250 9984/32000 (31%)] Loss: 0.01802 (QuantReg: 0.13463) QuantErr: 0.13463 batch_time=0.42262
Train Epoch: 2 [89/250 11392/32000 (36%)] Loss: 0.01369 (QuantReg: 0.13442) QuantErr: 0.13442 batch_time=0.45129
Train Epoch: 2 [100/250 12800/32000 (40%)] Loss: 0.02039 (QuantReg: 0.13340) QuantErr: 0.13340 batch_time=0.45184
Train Epoch: 2 [111/250 14208/32000 (44%)] Loss: 0.01657 (QuantReg: 0.13581) QuantErr: 0.13581 batch_time=0.45056
Train Epoch: 2 [122/250 15616/32000 (49%)] Loss: 0.01339 (QuantReg: 0.13598) QuantErr: 0.13598 batch_time=0.45071
Train Epoch: 2 [133/250 17024/32000 (53%)] Loss: 0.01678 (QuantReg: 0.13603) QuantErr: 0.13603 batch_time=0.49511
Train Epoch: 2 [144/250 18432/32000 (58%)] Loss: 0.01831 (QuantReg: 0.13684) QuantErr: 0.13684 batch_time=0.45295
Train Epoch: 2 [155/250 19840/32000 (62%)] Loss: 0.01273 (QuantReg: 0.13582) QuantErr: 0.13582 batch_time=0.44407
Train Epoch: 2 [166/250 21248/32000 (66%)] Loss: 0.01617 (QuantReg: 0.13822) QuantErr: 0.13822 batch_time=0.46029
Train Epoch: 2 [177/250 22656/32000 (71%)] Loss: 0.01724 (QuantReg: 0.13846) QuantErr: 0.13846 batch_time=0.46459
Train Epoch: 2 [188/250 24064/32000 (75%)] Loss: 0.01487 (QuantReg: 0.13558) QuantErr: 0.13558 batch_time=0.45790
Train Epoch: 2 [199/250 25472/32000 (80%)] Loss: 0.01219 (QuantReg: 0.13809) QuantErr: 0.13809 batch_time=0.45614
Train Epoch: 2 [210/250 26880/32000 (84%)] Loss: 0.01286 (QuantReg: 0.13607) QuantErr: 0.13607 batch_time=0.43822
Train Epoch: 2 [221/250 28288/32000 (88%)] Loss: 0.01535 (QuantReg: 0.13579) QuantErr: 0.13579 batch_time=0.43773
Train Epoch: 2 [232/250 29696/32000 (93%)] Loss: 0.01096 (QuantReg: 0.13561) QuantErr: 0.13561 batch_time=0.47767
Train Epoch: 2 [243/250 31104/32000 (97%)] Loss: 0.01694 (QuantReg: 0.13396) QuantErr: 0.13396 batch_time=0.45922
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch2.pth ...
Done in 4.822s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch2.pth ...
Done in 9.451s
removing stale ckpt [epoch 1] [took 0.00s]
removing stale ckpt [epoch 0] [took 0.00s]
epoch : 2
loss : 0.016915557861328125
quant_reg : 0.1358870968222618
quant_err : 0.1358870968222618
learning_rate : 4.75e-05
n_samples : 64000
n_steps : 500
MSRVTT_miech_test/t2v_metrics/R1: 6.4
MSRVTT_miech_test/t2v_metrics/R5: 19.8
MSRVTT_miech_test/t2v_metrics/R10: 30.1
MSRVTT_miech_test/t2v_metrics/R50: 69.7
MSRVTT_miech_test/t2v_metrics/MedR: 26.0
MSRVTT_miech_test/t2v_metrics/MeanR: 57.764
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 15.624419349088981
MSRVTT_miech_test/v2t_metrics/R1: 4.6
MSRVTT_miech_test/v2t_metrics/R5: 18.8
MSRVTT_miech_test/v2t_metrics/R10: 30.7
MSRVTT_miech_test/v2t_metrics/R50: 68.9
MSRVTT_miech_test/v2t_metrics/MedR: 24.0
MSRVTT_miech_test/v2t_metrics/MeanR: 58.762
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 13.846861622572616
mnt_best : 15.624419349088981
not_improved_count: 0
Train Epoch: 3 [1/250 128/32000 (0%)] Loss: 0.01645 (QuantReg: 0.13486) QuantErr: 0.13486 batch_time=26.62894
Train Epoch: 3 [12/250 1536/32000 (5%)] Loss: 0.01469 (QuantReg: 0.13403) QuantErr: 0.13403 batch_time=0.72175
Train Epoch: 3 [23/250 2944/32000 (9%)] Loss: 0.01377 (QuantReg: 0.13589) QuantErr: 0.13589 batch_time=1.31271
Train Epoch: 3 [34/250 4352/32000 (14%)] Loss: 0.01268 (QuantReg: 0.13550) QuantErr: 0.13550 batch_time=0.44734
Train Epoch: 3 [45/250 5760/32000 (18%)] Loss: 0.01599 (QuantReg: 0.13789) QuantErr: 0.13789 batch_time=0.43118
Train Epoch: 3 [56/250 7168/32000 (22%)] Loss: 0.01217 (QuantReg: 0.13743) QuantErr: 0.13743 batch_time=0.47590
Train Epoch: 3 [67/250 8576/32000 (27%)] Loss: 0.01367 (QuantReg: 0.13662) QuantErr: 0.13662 batch_time=0.44840
Train Epoch: 3 [78/250 9984/32000 (31%)] Loss: 0.01219 (QuantReg: 0.13540) QuantErr: 0.13540 batch_time=0.46375
Train Epoch: 3 [89/250 11392/32000 (36%)] Loss: 0.01131 (QuantReg: 0.13349) QuantErr: 0.13349 batch_time=0.45834
Train Epoch: 3 [100/250 12800/32000 (40%)] Loss: 0.01387 (QuantReg: 0.13678) QuantErr: 0.13678 batch_time=0.45268
Train Epoch: 3 [111/250 14208/32000 (44%)] Loss: 0.01627 (QuantReg: 0.13659) QuantErr: 0.13659 batch_time=0.43676
Train Epoch: 3 [122/250 15616/32000 (49%)] Loss: 0.01196 (QuantReg: 0.13761) QuantErr: 0.13761 batch_time=0.44596
Train Epoch: 3 [133/250 17024/32000 (53%)] Loss: 0.01331 (QuantReg: 0.13403) QuantErr: 0.13403 batch_time=0.48316
Train Epoch: 3 [144/250 18432/32000 (58%)] Loss: 0.01160 (QuantReg: 0.13396) QuantErr: 0.13396 batch_time=1.07420
Train Epoch: 3 [155/250 19840/32000 (62%)] Loss: 0.01314 (QuantReg: 0.13611) QuantErr: 0.13611 batch_time=0.42546
Train Epoch: 3 [166/250 21248/32000 (66%)] Loss: 0.01588 (QuantReg: 0.13498) QuantErr: 0.13498 batch_time=0.42487
Train Epoch: 3 [177/250 22656/32000 (71%)] Loss: 0.01183 (QuantReg: 0.13459) QuantErr: 0.13459 batch_time=0.42714
Train Epoch: 3 [188/250 24064/32000 (75%)] Loss: 0.01598 (QuantReg: 0.13847) QuantErr: 0.13847 batch_time=0.43036
Train Epoch: 3 [199/250 25472/32000 (80%)] Loss: 0.01247 (QuantReg: 0.13708) QuantErr: 0.13708 batch_time=0.42209
Train Epoch: 3 [210/250 26880/32000 (84%)] Loss: 0.01163 (QuantReg: 0.13382) QuantErr: 0.13382 batch_time=0.41896
Train Epoch: 3 [221/250 28288/32000 (88%)] Loss: 0.01639 (QuantReg: 0.13615) QuantErr: 0.13615 batch_time=0.42086
Train Epoch: 3 [232/250 29696/32000 (93%)] Loss: 0.01051 (QuantReg: 0.13720) QuantErr: 0.13720 batch_time=0.41981
Train Epoch: 3 [243/250 31104/32000 (97%)] Loss: 0.01295 (QuantReg: 0.13686) QuantErr: 0.13686 batch_time=0.42774
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch3.pth ...
Done in 11.891s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch3.pth ...
Done in 16.321s
removing stale ckpt [epoch 2] [took 0.00s]
epoch : 3
loss : 0.0130787353515625
quant_reg : 0.13611697101593018
quant_err : 0.13611697101593018
learning_rate : 4.5125e-05
n_samples : 96000
n_steps : 750
MSRVTT_miech_test/t2v_metrics/R1: 6.3
MSRVTT_miech_test/t2v_metrics/R5: 23.5
MSRVTT_miech_test/t2v_metrics/R10: 35.8
MSRVTT_miech_test/t2v_metrics/R50: 73.3
MSRVTT_miech_test/t2v_metrics/MedR: 19.0
MSRVTT_miech_test/t2v_metrics/MeanR: 54.12
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 17.435342354530384
MSRVTT_miech_test/v2t_metrics/R1: 5.9
MSRVTT_miech_test/v2t_metrics/R5: 23.0
MSRVTT_miech_test/v2t_metrics/R10: 36.1
MSRVTT_miech_test/v2t_metrics/R50: 74.8
MSRVTT_miech_test/v2t_metrics/MedR: 19.0
MSRVTT_miech_test/v2t_metrics/MeanR: 53.055
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 16.983571210233475
mnt_best : 17.435342354530384
not_improved_count: 0
Train Epoch: 4 [1/250 128/32000 (0%)] Loss: 0.00948 (QuantReg: 0.13467) QuantErr: 0.13467 batch_time=33.54015
Train Epoch: 4 [12/250 1536/32000 (5%)] Loss: 0.01086 (QuantReg: 0.13291) QuantErr: 0.13291 batch_time=0.44176
Train Epoch: 4 [23/250 2944/32000 (9%)] Loss: 0.01385 (QuantReg: 0.13766) QuantErr: 0.13766 batch_time=0.51002
Train Epoch: 4 [34/250 4352/32000 (14%)] Loss: 0.01245 (QuantReg: 0.13603) QuantErr: 0.13603 batch_time=0.44492
Train Epoch: 4 [45/250 5760/32000 (18%)] Loss: 0.01109 (QuantReg: 0.13608) QuantErr: 0.13608 batch_time=0.56888
Train Epoch: 4 [56/250 7168/32000 (22%)] Loss: 0.01071 (QuantReg: 0.13715) QuantErr: 0.13715 batch_time=0.43725
Train Epoch: 4 [67/250 8576/32000 (27%)] Loss: 0.01042 (QuantReg: 0.13687) QuantErr: 0.13687 batch_time=0.44070
Train Epoch: 4 [78/250 9984/32000 (31%)] Loss: 0.01009 (QuantReg: 0.13402) QuantErr: 0.13402 batch_time=0.46636
Train Epoch: 4 [89/250 11392/32000 (36%)] Loss: 0.01262 (QuantReg: 0.13474) QuantErr: 0.13474 batch_time=0.42664
Train Epoch: 4 [100/250 12800/32000 (40%)] Loss: 0.00877 (QuantReg: 0.13389) QuantErr: 0.13389 batch_time=0.44927
Train Epoch: 4 [111/250 14208/32000 (44%)] Loss: 0.01192 (QuantReg: 0.13476) QuantErr: 0.13476 batch_time=0.43861
Train Epoch: 4 [122/250 15616/32000 (49%)] Loss: 0.01120 (QuantReg: 0.13625) QuantErr: 0.13625 batch_time=0.41818
Train Epoch: 4 [133/250 17024/32000 (53%)] Loss: 0.01068 (QuantReg: 0.13513) QuantErr: 0.13513 batch_time=3.37597
Train Epoch: 4 [144/250 18432/32000 (58%)] Loss: 0.00946 (QuantReg: 0.13613) QuantErr: 0.13613 batch_time=0.45090
Train Epoch: 4 [155/250 19840/32000 (62%)] Loss: 0.00932 (QuantReg: 0.13517) QuantErr: 0.13517 batch_time=0.50888
Train Epoch: 4 [166/250 21248/32000 (66%)] Loss: 0.00963 (QuantReg: 0.13418) QuantErr: 0.13418 batch_time=0.43973
Train Epoch: 4 [177/250 22656/32000 (71%)] Loss: 0.00963 (QuantReg: 0.13671) QuantErr: 0.13671 batch_time=0.44456
Train Epoch: 4 [188/250 24064/32000 (75%)] Loss: 0.00851 (QuantReg: 0.13472) QuantErr: 0.13472 batch_time=0.44684
Train Epoch: 4 [199/250 25472/32000 (80%)] Loss: 0.00880 (QuantReg: 0.13565) QuantErr: 0.13565 batch_time=1.38702
Train Epoch: 4 [210/250 26880/32000 (84%)] Loss: 0.01295 (QuantReg: 0.13422) QuantErr: 0.13422 batch_time=2.66112
Train Epoch: 4 [221/250 28288/32000 (88%)] Loss: 0.01300 (QuantReg: 0.13329) QuantErr: 0.13329 batch_time=0.47734
Train Epoch: 4 [232/250 29696/32000 (93%)] Loss: 0.01352 (QuantReg: 0.13554) QuantErr: 0.13554 batch_time=0.42503
Train Epoch: 4 [243/250 31104/32000 (97%)] Loss: 0.01244 (QuantReg: 0.13412) QuantErr: 0.13412 batch_time=0.43275
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch4.pth ...
Done in 4.086s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch4.pth ...
Done in 8.798s
removing stale ckpt [epoch 3] [took 0.00s]
epoch : 4
loss : 0.01096270751953125
quant_reg : 0.13539467459917068
quant_err : 0.13539467459917068
learning_rate : 4.2868749999999995e-05
n_samples : 128000
n_steps : 1000
MSRVTT_miech_test/t2v_metrics/R1: 7.3
MSRVTT_miech_test/t2v_metrics/R5: 25.1
MSRVTT_miech_test/t2v_metrics/R10: 38.6
MSRVTT_miech_test/t2v_metrics/R50: 76.7
MSRVTT_miech_test/t2v_metrics/MedR: 18.0
MSRVTT_miech_test/t2v_metrics/MeanR: 48.358
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 19.19528783377172
MSRVTT_miech_test/v2t_metrics/R1: 7.0
MSRVTT_miech_test/v2t_metrics/R5: 21.8
MSRVTT_miech_test/v2t_metrics/R10: 35.3
MSRVTT_miech_test/v2t_metrics/R50: 76.9
MSRVTT_miech_test/v2t_metrics/MedR: 18.0
MSRVTT_miech_test/v2t_metrics/MeanR: 47.738
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 17.529777872876597
mnt_best : 19.19528783377172
not_improved_count: 0
Train Epoch: 5 [1/250 128/32000 (0%)] Loss: 0.00841 (QuantReg: 0.13493) QuantErr: 0.13493 batch_time=31.37263
Train Epoch: 5 [12/250 1536/32000 (5%)] Loss: 0.00930 (QuantReg: 0.13409) QuantErr: 0.13409 batch_time=0.47293
Train Epoch: 5 [23/250 2944/32000 (9%)] Loss: 0.00823 (QuantReg: 0.13614) QuantErr: 0.13614 batch_time=0.41811
Train Epoch: 5 [34/250 4352/32000 (14%)] Loss: 0.01559 (QuantReg: 0.13483) QuantErr: 0.13483 batch_time=0.47808
Train Epoch: 5 [45/250 5760/32000 (18%)] Loss: 0.01205 (QuantReg: 0.13669) QuantErr: 0.13669 batch_time=0.48292
Train Epoch: 5 [56/250 7168/32000 (22%)] Loss: 0.00981 (QuantReg: 0.13546) QuantErr: 0.13546 batch_time=0.42951
Train Epoch: 5 [67/250 8576/32000 (27%)] Loss: 0.00839 (QuantReg: 0.13665) QuantErr: 0.13665 batch_time=0.45254
Train Epoch: 5 [78/250 9984/32000 (31%)] Loss: 0.01031 (QuantReg: 0.13488) QuantErr: 0.13488 batch_time=0.44062
Train Epoch: 5 [89/250 11392/32000 (36%)] Loss: 0.01013 (QuantReg: 0.13382) QuantErr: 0.13382 batch_time=0.44171
Train Epoch: 5 [100/250 12800/32000 (40%)] Loss: 0.01085 (QuantReg: 0.13665) QuantErr: 0.13665 batch_time=0.44409
Train Epoch: 5 [111/250 14208/32000 (44%)] Loss: 0.01041 (QuantReg: 0.13452) QuantErr: 0.13452 batch_time=0.44661
Train Epoch: 5 [122/250 15616/32000 (49%)] Loss: 0.00877 (QuantReg: 0.13618) QuantErr: 0.13618 batch_time=0.43964
Train Epoch: 5 [133/250 17024/32000 (53%)] Loss: 0.00848 (QuantReg: 0.13550) QuantErr: 0.13550 batch_time=0.42979
Train Epoch: 5 [144/250 18432/32000 (58%)] Loss: 0.00842 (QuantReg: 0.13598) QuantErr: 0.13598 batch_time=0.45080
Train Epoch: 5 [155/250 19840/32000 (62%)] Loss: 0.00925 (QuantReg: 0.13446) QuantErr: 0.13446 batch_time=0.43034
Train Epoch: 5 [166/250 21248/32000 (66%)] Loss: 0.00848 (QuantReg: 0.13736) QuantErr: 0.13736 batch_time=0.45459
Train Epoch: 5 [177/250 22656/32000 (71%)] Loss: 0.00822 (QuantReg: 0.13469) QuantErr: 0.13469 batch_time=0.44521
Train Epoch: 5 [188/250 24064/32000 (75%)] Loss: 0.00844 (QuantReg: 0.13415) QuantErr: 0.13415 batch_time=0.44602
Train Epoch: 5 [199/250 25472/32000 (80%)] Loss: 0.01012 (QuantReg: 0.13292) QuantErr: 0.13292 batch_time=0.44689
Train Epoch: 5 [210/250 26880/32000 (84%)] Loss: 0.00757 (QuantReg: 0.13407) QuantErr: 0.13407 batch_time=0.44055
Train Epoch: 5 [221/250 28288/32000 (88%)] Loss: 0.00739 (QuantReg: 0.13449) QuantErr: 0.13449 batch_time=0.42839
Train Epoch: 5 [232/250 29696/32000 (93%)] Loss: 0.00996 (QuantReg: 0.13237) QuantErr: 0.13237 batch_time=0.44500
Train Epoch: 5 [243/250 31104/32000 (97%)] Loss: 0.00667 (QuantReg: 0.13597) QuantErr: 0.13597 batch_time=0.45667
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch5.pth ...
Done in 10.949s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch5.pth ...
Done in 14.971s
removing stale ckpt [epoch 4] [took 0.00s]
epoch : 5
loss : 0.009823516845703125
quant_reg : 0.1354585691690445
quant_err : 0.1354585691690445
learning_rate : 4.072531249999999e-05
n_samples : 160000
n_steps : 1250
MSRVTT_miech_test/t2v_metrics/R1: 8.0
MSRVTT_miech_test/t2v_metrics/R5: 27.8
MSRVTT_miech_test/t2v_metrics/R10: 40.6
MSRVTT_miech_test/t2v_metrics/R50: 78.0
MSRVTT_miech_test/t2v_metrics/MedR: 15.0
MSRVTT_miech_test/t2v_metrics/MeanR: 46.412
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 20.823494162775123
MSRVTT_miech_test/v2t_metrics/R1: 8.7
MSRVTT_miech_test/v2t_metrics/R5: 27.2
MSRVTT_miech_test/v2t_metrics/R10: 41.7
MSRVTT_miech_test/v2t_metrics/R50: 78.4
MSRVTT_miech_test/v2t_metrics/MedR: 14.75
MSRVTT_miech_test/v2t_metrics/MeanR: 45.573
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 21.44905044128132
mnt_best : 20.823494162775123
not_improved_count: 0
Train Epoch: 6 [1/250 128/32000 (0%)] Loss: 0.00920 (QuantReg: 0.13544) QuantErr: 0.13544 batch_time=32.18695
Train Epoch: 6 [12/250 1536/32000 (5%)] Loss: 0.01271 (QuantReg: 0.13482) QuantErr: 0.13482 batch_time=0.43901
Train Epoch: 6 [23/250 2944/32000 (9%)] Loss: 0.00765 (QuantReg: 0.13563) QuantErr: 0.13563 batch_time=0.44762
Train Epoch: 6 [34/250 4352/32000 (14%)] Loss: 0.00787 (QuantReg: 0.13636) QuantErr: 0.13636 batch_time=0.43076
Train Epoch: 6 [45/250 5760/32000 (18%)] Loss: 0.01202 (QuantReg: 0.13727) QuantErr: 0.13727 batch_time=0.43136
Train Epoch: 6 [56/250 7168/32000 (22%)] Loss: 0.00738 (QuantReg: 0.13575) QuantErr: 0.13575 batch_time=0.43852
Train Epoch: 6 [67/250 8576/32000 (27%)] Loss: 0.00925 (QuantReg: 0.13561) QuantErr: 0.13561 batch_time=2.66382
Train Epoch: 6 [78/250 9984/32000 (31%)] Loss: 0.00586 (QuantReg: 0.13585) QuantErr: 0.13585 batch_time=0.41532
Train Epoch: 6 [89/250 11392/32000 (36%)] Loss: 0.01105 (QuantReg: 0.13243) QuantErr: 0.13243 batch_time=0.42881
Train Epoch: 6 [100/250 12800/32000 (40%)] Loss: 0.00839 (QuantReg: 0.13251) QuantErr: 0.13251 batch_time=0.53081
Train Epoch: 6 [111/250 14208/32000 (44%)] Loss: 0.00747 (QuantReg: 0.13496) QuantErr: 0.13496 batch_time=0.43339
Train Epoch: 6 [122/250 15616/32000 (49%)] Loss: 0.00862 (QuantReg: 0.13446) QuantErr: 0.13446 batch_time=0.42628
Train Epoch: 6 [133/250 17024/32000 (53%)] Loss: 0.00703 (QuantReg: 0.13491) QuantErr: 0.13491 batch_time=0.43563
Train Epoch: 6 [144/250 18432/32000 (58%)] Loss: 0.00767 (QuantReg: 0.13790) QuantErr: 0.13790 batch_time=0.41544
Train Epoch: 6 [155/250 19840/32000 (62%)] Loss: 0.00839 (QuantReg: 0.13529) QuantErr: 0.13529 batch_time=0.42832
Train Epoch: 6 [166/250 21248/32000 (66%)] Loss: 0.01172 (QuantReg: 0.13437) QuantErr: 0.13437 batch_time=0.44134
Train Epoch: 6 [177/250 22656/32000 (71%)] Loss: 0.00935 (QuantReg: 0.13479) QuantErr: 0.13479 batch_time=0.41271
Train Epoch: 6 [188/250 24064/32000 (75%)] Loss: 0.00858 (QuantReg: 0.13483) QuantErr: 0.13483 batch_time=0.43722
Train Epoch: 6 [199/250 25472/32000 (80%)] Loss: 0.00941 (QuantReg: 0.13490) QuantErr: 0.13490 batch_time=0.44585
Train Epoch: 6 [210/250 26880/32000 (84%)] Loss: 0.00640 (QuantReg: 0.13676) QuantErr: 0.13676 batch_time=0.42828
Train Epoch: 6 [221/250 28288/32000 (88%)] Loss: 0.00926 (QuantReg: 0.13497) QuantErr: 0.13497 batch_time=0.45106
Train Epoch: 6 [232/250 29696/32000 (93%)] Loss: 0.00684 (QuantReg: 0.13690) QuantErr: 0.13690 batch_time=0.45009
Train Epoch: 6 [243/250 31104/32000 (97%)] Loss: 0.00691 (QuantReg: 0.13595) QuantErr: 0.13595 batch_time=0.45595
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch6.pth ...
Done in 4.448s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch6.pth ...
Done in 8.424s
removing stale ckpt [epoch 5] [took 0.00s]
epoch : 6
loss : 0.008554336547851562
quant_reg : 0.13536486107110976
quant_err : 0.13536486107110976
learning_rate : 3.868904687499999e-05
n_samples : 192000
n_steps : 1500
MSRVTT_miech_test/t2v_metrics/R1: 8.7
MSRVTT_miech_test/t2v_metrics/R5: 27.9
MSRVTT_miech_test/t2v_metrics/R10: 41.9
MSRVTT_miech_test/t2v_metrics/R50: 79.2
MSRVTT_miech_test/t2v_metrics/MedR: 14.5
MSRVTT_miech_test/t2v_metrics/MeanR: 46.67
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 21.666020993250697
MSRVTT_miech_test/v2t_metrics/R1: 7.1
MSRVTT_miech_test/v2t_metrics/R5: 26.0
MSRVTT_miech_test/v2t_metrics/R10: 40.5
MSRVTT_miech_test/v2t_metrics/R50: 79.5
MSRVTT_miech_test/v2t_metrics/MedR: 16.0
MSRVTT_miech_test/v2t_metrics/MeanR: 45.466
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 19.553698146780864
mnt_best : 21.666020993250697
not_improved_count: 0
Train Epoch: 7 [1/250 128/32000 (0%)] Loss: 0.00512 (QuantReg: 0.13504) QuantErr: 0.13504 batch_time=33.21777
Train Epoch: 7 [12/250 1536/32000 (5%)] Loss: 0.00748 (QuantReg: 0.13482) QuantErr: 0.13482 batch_time=0.40911
Train Epoch: 7 [23/250 2944/32000 (9%)] Loss: 0.01083 (QuantReg: 0.13208) QuantErr: 0.13208 batch_time=0.43466
Train Epoch: 7 [34/250 4352/32000 (14%)] Loss: 0.01085 (QuantReg: 0.13386) QuantErr: 0.13386 batch_time=0.41710
Train Epoch: 7 [45/250 5760/32000 (18%)] Loss: 0.00830 (QuantReg: 0.13557) QuantErr: 0.13557 batch_time=0.44828
Train Epoch: 7 [56/250 7168/32000 (22%)] Loss: 0.01320 (QuantReg: 0.13520) QuantErr: 0.13520 batch_time=0.42460
Train Epoch: 7 [67/250 8576/32000 (27%)] Loss: 0.00890 (QuantReg: 0.13625) QuantErr: 0.13625 batch_time=0.43996
Train Epoch: 7 [78/250 9984/32000 (31%)] Loss: 0.00892 (QuantReg: 0.13438) QuantErr: 0.13438 batch_time=0.43046
Train Epoch: 7 [89/250 11392/32000 (36%)] Loss: 0.00966 (QuantReg: 0.13510) QuantErr: 0.13510 batch_time=0.42155
Train Epoch: 7 [100/250 12800/32000 (40%)] Loss: 0.00940 (QuantReg: 0.13563) QuantErr: 0.13563 batch_time=0.43389
Train Epoch: 7 [111/250 14208/32000 (44%)] Loss: 0.01155 (QuantReg: 0.13631) QuantErr: 0.13631 batch_time=0.43940
Train Epoch: 7 [122/250 15616/32000 (49%)] Loss: 0.00949 (QuantReg: 0.13338) QuantErr: 0.13338 batch_time=0.42385
Train Epoch: 7 [133/250 17024/32000 (53%)] Loss: 0.00548 (QuantReg: 0.13574) QuantErr: 0.13574 batch_time=0.43085
Train Epoch: 7 [144/250 18432/32000 (58%)] Loss: 0.00845 (QuantReg: 0.13725) QuantErr: 0.13725 batch_time=0.93727
Train Epoch: 7 [155/250 19840/32000 (62%)] Loss: 0.00746 (QuantReg: 0.13709) QuantErr: 0.13709 batch_time=0.44915
Train Epoch: 7 [166/250 21248/32000 (66%)] Loss: 0.00706 (QuantReg: 0.13651) QuantErr: 0.13651 batch_time=0.43525
Train Epoch: 7 [177/250 22656/32000 (71%)] Loss: 0.00887 (QuantReg: 0.13487) QuantErr: 0.13487 batch_time=0.43817
Train Epoch: 7 [188/250 24064/32000 (75%)] Loss: 0.00897 (QuantReg: 0.13288) QuantErr: 0.13288 batch_time=0.44609
Train Epoch: 7 [199/250 25472/32000 (80%)] Loss: 0.00603 (QuantReg: 0.13462) QuantErr: 0.13462 batch_time=0.46504
Train Epoch: 7 [210/250 26880/32000 (84%)] Loss: 0.00658 (QuantReg: 0.13518) QuantErr: 0.13518 batch_time=0.44680
Train Epoch: 7 [221/250 28288/32000 (88%)] Loss: 0.00629 (QuantReg: 0.13478) QuantErr: 0.13478 batch_time=0.42678
Train Epoch: 7 [232/250 29696/32000 (93%)] Loss: 0.00601 (QuantReg: 0.13612) QuantErr: 0.13612 batch_time=0.44942
Train Epoch: 7 [243/250 31104/32000 (97%)] Loss: 0.00750 (QuantReg: 0.13607) QuantErr: 0.13607 batch_time=0.41541
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch7.pth ...
Done in 4.105s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch7.pth ...
Done in 8.084s
removing stale ckpt [epoch 6] [took 0.00s]
epoch : 7
loss : 0.008110855102539062
quant_reg : 0.13530167800188064
quant_err : 0.13530167800188064
learning_rate : 3.675459453124999e-05
n_samples : 224000
n_steps : 1750
MSRVTT_miech_test/t2v_metrics/R1: 8.7
MSRVTT_miech_test/t2v_metrics/R5: 29.0
MSRVTT_miech_test/t2v_metrics/R10: 43.8
MSRVTT_miech_test/t2v_metrics/R50: 78.9
MSRVTT_miech_test/t2v_metrics/MedR: 14.5
MSRVTT_miech_test/t2v_metrics/MeanR: 43.74
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 22.27394384075849
MSRVTT_miech_test/v2t_metrics/R1: 9.0
MSRVTT_miech_test/v2t_metrics/R5: 28.5
MSRVTT_miech_test/v2t_metrics/R10: 44.3
MSRVTT_miech_test/v2t_metrics/R50: 80.3
MSRVTT_miech_test/v2t_metrics/MedR: 13.5
MSRVTT_miech_test/v2t_metrics/MeanR: 42.261
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 22.48176300007518
mnt_best : 22.27394384075849
not_improved_count: 0
Train Epoch: 8 [1/250 128/32000 (0%)] Loss: 0.01060 (QuantReg: 0.13382) QuantErr: 0.13382 batch_time=26.64528
Train Epoch: 8 [12/250 1536/32000 (5%)] Loss: 0.00750 (QuantReg: 0.13594) QuantErr: 0.13594 batch_time=0.43892
Train Epoch: 8 [23/250 2944/32000 (9%)] Loss: 0.00527 (QuantReg: 0.13455) QuantErr: 0.13455 batch_time=0.42990
Train Epoch: 8 [34/250 4352/32000 (14%)] Loss: 0.00855 (QuantReg: 0.13516) QuantErr: 0.13516 batch_time=0.43209
Train Epoch: 8 [45/250 5760/32000 (18%)] Loss: 0.00609 (QuantReg: 0.13605) QuantErr: 0.13605 batch_time=0.43595
Train Epoch: 8 [56/250 7168/32000 (22%)] Loss: 0.00821 (QuantReg: 0.13588) QuantErr: 0.13588 batch_time=0.44697
Train Epoch: 8 [67/250 8576/32000 (27%)] Loss: 0.00797 (QuantReg: 0.13459) QuantErr: 0.13459 batch_time=0.42117
Train Epoch: 8 [78/250 9984/32000 (31%)] Loss: 0.00506 (QuantReg: 0.13589) QuantErr: 0.13589 batch_time=1.42686
Train Epoch: 8 [89/250 11392/32000 (36%)] Loss: 0.00885 (QuantReg: 0.13543) QuantErr: 0.13543 batch_time=0.43215
Train Epoch: 8 [100/250 12800/32000 (40%)] Loss: 0.00805 (QuantReg: 0.13387) QuantErr: 0.13387 batch_time=0.47852
Train Epoch: 8 [111/250 14208/32000 (44%)] Loss: 0.00729 (QuantReg: 0.13538) QuantErr: 0.13538 batch_time=0.43706
Train Epoch: 8 [122/250 15616/32000 (49%)] Loss: 0.00858 (QuantReg: 0.13655) QuantErr: 0.13655 batch_time=0.42709
Train Epoch: 8 [133/250 17024/32000 (53%)] Loss: 0.01041 (QuantReg: 0.13694) QuantErr: 0.13694 batch_time=0.43384
Train Epoch: 8 [144/250 18432/32000 (58%)] Loss: 0.00764 (QuantReg: 0.13471) QuantErr: 0.13471 batch_time=0.43353
Train Epoch: 8 [155/250 19840/32000 (62%)] Loss: 0.00628 (QuantReg: 0.13411) QuantErr: 0.13411 batch_time=0.43705
Train Epoch: 8 [166/250 21248/32000 (66%)] Loss: 0.00944 (QuantReg: 0.13421) QuantErr: 0.13421 batch_time=0.43331
Train Epoch: 8 [177/250 22656/32000 (71%)] Loss: 0.00741 (QuantReg: 0.13686) QuantErr: 0.13686 batch_time=0.53805
Train Epoch: 8 [188/250 24064/32000 (75%)] Loss: 0.00764 (QuantReg: 0.13674) QuantErr: 0.13674 batch_time=0.43207
Train Epoch: 8 [199/250 25472/32000 (80%)] Loss: 0.00749 (QuantReg: 0.13606) QuantErr: 0.13606 batch_time=0.44530
Train Epoch: 8 [210/250 26880/32000 (84%)] Loss: 0.00542 (QuantReg: 0.13584) QuantErr: 0.13584 batch_time=2.00320
Train Epoch: 8 [221/250 28288/32000 (88%)] Loss: 0.00548 (QuantReg: 0.13572) QuantErr: 0.13572 batch_time=0.43145
Train Epoch: 8 [232/250 29696/32000 (93%)] Loss: 0.00743 (QuantReg: 0.13471) QuantErr: 0.13471 batch_time=0.41926
Train Epoch: 8 [243/250 31104/32000 (97%)] Loss: 0.00665 (QuantReg: 0.13634) QuantErr: 0.13634 batch_time=0.53605
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch8.pth ...
Done in 3.905s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch8.pth ...
Done in 8.034s
removing stale ckpt [epoch 7] [took 0.00s]
epoch : 8
loss : 0.007696823120117187
quant_reg : 0.13552460992336274
quant_err : 0.13552460992336274
learning_rate : 3.4916864804687486e-05
n_samples : 256000
n_steps : 2000
MSRVTT_miech_test/t2v_metrics/R1: 9.2
MSRVTT_miech_test/t2v_metrics/R5: 29.9
MSRVTT_miech_test/t2v_metrics/R10: 44.3
MSRVTT_miech_test/t2v_metrics/R50: 78.9
MSRVTT_miech_test/t2v_metrics/MedR: 13.0
MSRVTT_miech_test/t2v_metrics/MeanR: 42.955
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 23.011993744568997
MSRVTT_miech_test/v2t_metrics/R1: 9.5
MSRVTT_miech_test/v2t_metrics/R5: 30.8
MSRVTT_miech_test/v2t_metrics/R10: 45.7
MSRVTT_miech_test/v2t_metrics/R50: 81.4
MSRVTT_miech_test/v2t_metrics/MedR: 13.0
MSRVTT_miech_test/v2t_metrics/MeanR: 39.685
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 23.735415607257313
mnt_best : 23.011993744568997
not_improved_count: 0
Train Epoch: 9 [1/250 128/32000 (0%)] Loss: 0.00550 (QuantReg: 0.13470) QuantErr: 0.13470 batch_time=27.38218
Train Epoch: 9 [12/250 1536/32000 (5%)] Loss: 0.00845 (QuantReg: 0.13583) QuantErr: 0.13583 batch_time=0.40958
Train Epoch: 9 [23/250 2944/32000 (9%)] Loss: 0.00552 (QuantReg: 0.13407) QuantErr: 0.13407 batch_time=0.41368
Train Epoch: 9 [34/250 4352/32000 (14%)] Loss: 0.00746 (QuantReg: 0.13607) QuantErr: 0.13607 batch_time=0.43146
Train Epoch: 9 [45/250 5760/32000 (18%)] Loss: 0.01396 (QuantReg: 0.13429) QuantErr: 0.13429 batch_time=0.44371
Train Epoch: 9 [56/250 7168/32000 (22%)] Loss: 0.00896 (QuantReg: 0.13555) QuantErr: 0.13555 batch_time=0.42379
Train Epoch: 9 [67/250 8576/32000 (27%)] Loss: 0.00614 (QuantReg: 0.13378) QuantErr: 0.13378 batch_time=0.43839
Train Epoch: 9 [78/250 9984/32000 (31%)] Loss: 0.00856 (QuantReg: 0.13610) QuantErr: 0.13610 batch_time=0.46005
Train Epoch: 9 [89/250 11392/32000 (36%)] Loss: 0.00528 (QuantReg: 0.13485) QuantErr: 0.13485 batch_time=0.42527
Train Epoch: 9 [100/250 12800/32000 (40%)] Loss: 0.00575 (QuantReg: 0.13593) QuantErr: 0.13593 batch_time=0.41438
Train Epoch: 9 [111/250 14208/32000 (44%)] Loss: 0.00620 (QuantReg: 0.13570) QuantErr: 0.13570 batch_time=0.43566
Train Epoch: 9 [122/250 15616/32000 (49%)] Loss: 0.00524 (QuantReg: 0.13336) QuantErr: 0.13336 batch_time=0.43525
Train Epoch: 9 [133/250 17024/32000 (53%)] Loss: 0.00743 (QuantReg: 0.13404) QuantErr: 0.13404 batch_time=0.41879
Train Epoch: 9 [144/250 18432/32000 (58%)] Loss: 0.00699 (QuantReg: 0.13559) QuantErr: 0.13559 batch_time=0.44453
Train Epoch: 9 [155/250 19840/32000 (62%)] Loss: 0.00718 (QuantReg: 0.13654) QuantErr: 0.13654 batch_time=0.44992
Train Epoch: 9 [166/250 21248/32000 (66%)] Loss: 0.00822 (QuantReg: 0.13521) QuantErr: 0.13521 batch_time=0.44354
Train Epoch: 9 [177/250 22656/32000 (71%)] Loss: 0.00618 (QuantReg: 0.13480) QuantErr: 0.13480 batch_time=0.44486
Train Epoch: 9 [188/250 24064/32000 (75%)] Loss: 0.00635 (QuantReg: 0.13668) QuantErr: 0.13668 batch_time=0.45516
Train Epoch: 9 [199/250 25472/32000 (80%)] Loss: 0.00680 (QuantReg: 0.13370) QuantErr: 0.13370 batch_time=0.45440
Train Epoch: 9 [210/250 26880/32000 (84%)] Loss: 0.00758 (QuantReg: 0.13311) QuantErr: 0.13311 batch_time=0.44411
Train Epoch: 9 [221/250 28288/32000 (88%)] Loss: 0.00630 (QuantReg: 0.13474) QuantErr: 0.13474 batch_time=0.45918
Train Epoch: 9 [232/250 29696/32000 (93%)] Loss: 0.00537 (QuantReg: 0.13429) QuantErr: 0.13429 batch_time=0.42586
Train Epoch: 9 [243/250 31104/32000 (97%)] Loss: 0.01010 (QuantReg: 0.13724) QuantErr: 0.13724 batch_time=0.44291
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch9.pth ...
Done in 9.825s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch9.pth ...
Done in 13.928s
removing stale ckpt [epoch 8] [took 0.00s]
epoch : 9
loss : 0.00689166259765625
quant_reg : 0.13511994010210038
quant_err : 0.13511994010210038
learning_rate : 3.317102156445311e-05
n_samples : 288000
n_steps : 2250
MSRVTT_miech_test/t2v_metrics/R1: 9.4
MSRVTT_miech_test/t2v_metrics/R5: 31.9
MSRVTT_miech_test/t2v_metrics/R10: 46.2
MSRVTT_miech_test/t2v_metrics/R50: 81.7
MSRVTT_miech_test/t2v_metrics/MedR: 13.0
MSRVTT_miech_test/t2v_metrics/MeanR: 42.926
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 24.017078122301008
MSRVTT_miech_test/v2t_metrics/R1: 9.8
MSRVTT_miech_test/v2t_metrics/R5: 32.1
MSRVTT_miech_test/v2t_metrics/R10: 46.9
MSRVTT_miech_test/v2t_metrics/R50: 82.0
MSRVTT_miech_test/v2t_metrics/MedR: 12.0
MSRVTT_miech_test/v2t_metrics/MeanR: 39.373
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 24.526447630115666
mnt_best : 24.017078122301008
not_improved_count: 0
Train Epoch: 10 [1/250 128/32000 (0%)] Loss: 0.00636 (QuantReg: 0.13542) QuantErr: 0.13542 batch_time=32.23955
Train Epoch: 10 [12/250 1536/32000 (5%)] Loss: 0.00685 (QuantReg: 0.13543) QuantErr: 0.13543 batch_time=0.42723
Train Epoch: 10 [23/250 2944/32000 (9%)] Loss: 0.00422 (QuantReg: 0.13544) QuantErr: 0.13544 batch_time=0.46940
Train Epoch: 10 [34/250 4352/32000 (14%)] Loss: 0.00672 (QuantReg: 0.13381) QuantErr: 0.13381 batch_time=0.43292
Train Epoch: 10 [45/250 5760/32000 (18%)] Loss: 0.00762 (QuantReg: 0.13288) QuantErr: 0.13288 batch_time=0.44595
Train Epoch: 10 [56/250 7168/32000 (22%)] Loss: 0.00577 (QuantReg: 0.13635) QuantErr: 0.13635 batch_time=0.43562
Train Epoch: 10 [67/250 8576/32000 (27%)] Loss: 0.00639 (QuantReg: 0.13459) QuantErr: 0.13459 batch_time=0.42465
Train Epoch: 10 [78/250 9984/32000 (31%)] Loss: 0.00829 (QuantReg: 0.13679) QuantErr: 0.13679 batch_time=0.46056
Train Epoch: 10 [89/250 11392/32000 (36%)] Loss: 0.00505 (QuantReg: 0.13585) QuantErr: 0.13585 batch_time=0.42440
Train Epoch: 10 [100/250 12800/32000 (40%)] Loss: 0.00808 (QuantReg: 0.13555) QuantErr: 0.13555 batch_time=0.41891
Train Epoch: 10 [111/250 14208/32000 (44%)] Loss: 0.00554 (QuantReg: 0.13474) QuantErr: 0.13474 batch_time=0.42682
Train Epoch: 10 [122/250 15616/32000 (49%)] Loss: 0.00541 (QuantReg: 0.13509) QuantErr: 0.13509 batch_time=0.42579
Train Epoch: 10 [133/250 17024/32000 (53%)] Loss: 0.00694 (QuantReg: 0.13663) QuantErr: 0.13663 batch_time=0.42024
Train Epoch: 10 [144/250 18432/32000 (58%)] Loss: 0.00925 (QuantReg: 0.13492) QuantErr: 0.13492 batch_time=0.42396
Train Epoch: 10 [155/250 19840/32000 (62%)] Loss: 0.00695 (QuantReg: 0.13319) QuantErr: 0.13319 batch_time=0.44523
Train Epoch: 10 [166/250 21248/32000 (66%)] Loss: 0.00638 (QuantReg: 0.13536) QuantErr: 0.13536 batch_time=1.11976
Train Epoch: 10 [177/250 22656/32000 (71%)] Loss: 0.00739 (QuantReg: 0.13505) QuantErr: 0.13505 batch_time=0.43590
Train Epoch: 10 [188/250 24064/32000 (75%)] Loss: 0.00874 (QuantReg: 0.13462) QuantErr: 0.13462 batch_time=0.42718
Train Epoch: 10 [199/250 25472/32000 (80%)] Loss: 0.00714 (QuantReg: 0.13481) QuantErr: 0.13481 batch_time=0.47754
Train Epoch: 10 [210/250 26880/32000 (84%)] Loss: 0.00639 (QuantReg: 0.13561) QuantErr: 0.13561 batch_time=2.83657
Train Epoch: 10 [221/250 28288/32000 (88%)] Loss: 0.00612 (QuantReg: 0.13445) QuantErr: 0.13445 batch_time=0.44482
Train Epoch: 10 [232/250 29696/32000 (93%)] Loss: 0.00645 (QuantReg: 0.13572) QuantErr: 0.13572 batch_time=0.46493
Train Epoch: 10 [243/250 31104/32000 (97%)] Loss: 0.00628 (QuantReg: 0.13377) QuantErr: 0.13377 batch_time=0.43907
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch10.pth ...
Done in 4.195s
removing stale ckpt [epoch 9] [took 0.00s]
epoch : 10
loss : 0.006518417358398437
quant_reg : 0.13508903270959854
quant_err : 0.13508903270959854
learning_rate : 3.151247048623045e-05
n_samples : 320000
n_steps : 2500
MSRVTT_miech_test/t2v_metrics/R1: 9.1
MSRVTT_miech_test/t2v_metrics/R5: 32.2
MSRVTT_miech_test/t2v_metrics/R10: 47.2
MSRVTT_miech_test/t2v_metrics/R50: 82.4
MSRVTT_miech_test/t2v_metrics/MedR: 12.0
MSRVTT_miech_test/t2v_metrics/MeanR: 40.544
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 24.00378643962541
MSRVTT_miech_test/v2t_metrics/R1: 9.3
MSRVTT_miech_test/v2t_metrics/R5: 32.7
MSRVTT_miech_test/v2t_metrics/R10: 47.5
MSRVTT_miech_test/v2t_metrics/R50: 83.3
MSRVTT_miech_test/v2t_metrics/MedR: 12.0
MSRVTT_miech_test/v2t_metrics/MeanR: 38.876
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 24.354250586483833
mnt_best : 24.017078122301008
not_improved_count: 1
Train Epoch: 11 [1/250 128/32000 (0%)] Loss: 0.00443 (QuantReg: 0.13487) QuantErr: 0.13487 batch_time=30.20116
Train Epoch: 11 [12/250 1536/32000 (5%)] Loss: 0.00635 (QuantReg: 0.13640) QuantErr: 0.13640 batch_time=0.44432
Train Epoch: 11 [23/250 2944/32000 (9%)] Loss: 0.00463 (QuantReg: 0.13483) QuantErr: 0.13483 batch_time=0.43562
Train Epoch: 11 [34/250 4352/32000 (14%)] Loss: 0.00463 (QuantReg: 0.13536) QuantErr: 0.13536 batch_time=0.43410
Train Epoch: 11 [45/250 5760/32000 (18%)] Loss: 0.00670 (QuantReg: 0.13310) QuantErr: 0.13310 batch_time=0.43321
Train Epoch: 11 [56/250 7168/32000 (22%)] Loss: 0.00882 (QuantReg: 0.13262) QuantErr: 0.13262 batch_time=0.46902
Train Epoch: 11 [67/250 8576/32000 (27%)] Loss: 0.00759 (QuantReg: 0.13316) QuantErr: 0.13316 batch_time=1.50659
Train Epoch: 11 [78/250 9984/32000 (31%)] Loss: 0.00352 (QuantReg: 0.13612) QuantErr: 0.13612 batch_time=0.44978
Train Epoch: 11 [89/250 11392/32000 (36%)] Loss: 0.00793 (QuantReg: 0.13460) QuantErr: 0.13460 batch_time=0.46776
Train Epoch: 11 [100/250 12800/32000 (40%)] Loss: 0.00631 (QuantReg: 0.13483) QuantErr: 0.13483 batch_time=0.42201
Train Epoch: 11 [111/250 14208/32000 (44%)] Loss: 0.00531 (QuantReg: 0.13536) QuantErr: 0.13536 batch_time=0.44448
Train Epoch: 11 [122/250 15616/32000 (49%)] Loss: 0.00585 (QuantReg: 0.13497) QuantErr: 0.13497 batch_time=0.42259
Train Epoch: 11 [133/250 17024/32000 (53%)] Loss: 0.00720 (QuantReg: 0.13512) QuantErr: 0.13512 batch_time=0.44198
Train Epoch: 11 [144/250 18432/32000 (58%)] Loss: 0.00452 (QuantReg: 0.13775) QuantErr: 0.13775 batch_time=0.43024
Train Epoch: 11 [155/250 19840/32000 (62%)] Loss: 0.00492 (QuantReg: 0.13504) QuantErr: 0.13504 batch_time=0.49432
Train Epoch: 11 [166/250 21248/32000 (66%)] Loss: 0.00605 (QuantReg: 0.13436) QuantErr: 0.13436 batch_time=0.43485
Train Epoch: 11 [177/250 22656/32000 (71%)] Loss: 0.00489 (QuantReg: 0.13308) QuantErr: 0.13308 batch_time=0.46140
Train Epoch: 11 [188/250 24064/32000 (75%)] Loss: 0.00422 (QuantReg: 0.13553) QuantErr: 0.13553 batch_time=0.41225
Train Epoch: 11 [199/250 25472/32000 (80%)] Loss: 0.00646 (QuantReg: 0.13667) QuantErr: 0.13667 batch_time=0.43057
Train Epoch: 11 [210/250 26880/32000 (84%)] Loss: 0.00418 (QuantReg: 0.13358) QuantErr: 0.13358 batch_time=0.41781
Train Epoch: 11 [221/250 28288/32000 (88%)] Loss: 0.00515 (QuantReg: 0.13578) QuantErr: 0.13578 batch_time=0.45989
Train Epoch: 11 [232/250 29696/32000 (93%)] Loss: 0.00615 (QuantReg: 0.13551) QuantErr: 0.13551 batch_time=0.44501
Train Epoch: 11 [243/250 31104/32000 (97%)] Loss: 0.00504 (QuantReg: 0.13541) QuantErr: 0.13541 batch_time=0.43877
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch11.pth ...
Done in 14.691s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch11.pth ...
Done in 18.534s
removing stale ckpt [epoch 10] [took 0.00s]
epoch : 11
loss : 0.00585369873046875
quant_reg : 0.13483017587661744
quant_err : 0.13483017587661744
learning_rate : 2.993684696191893e-05
n_samples : 352000
n_steps : 2750
MSRVTT_miech_test/t2v_metrics/R1: 9.0
MSRVTT_miech_test/t2v_metrics/R5: 34.4
MSRVTT_miech_test/t2v_metrics/R10: 49.9
MSRVTT_miech_test/t2v_metrics/R50: 83.2
MSRVTT_miech_test/t2v_metrics/MedR: 11.0
MSRVTT_miech_test/t2v_metrics/MeanR: 40.151
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 24.905800168143085
MSRVTT_miech_test/v2t_metrics/R1: 10.4
MSRVTT_miech_test/v2t_metrics/R5: 32.7
MSRVTT_miech_test/v2t_metrics/R10: 45.5
MSRVTT_miech_test/v2t_metrics/R50: 81.8
MSRVTT_miech_test/v2t_metrics/MedR: 12.75
MSRVTT_miech_test/v2t_metrics/MeanR: 37.76
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 24.919012591556655
mnt_best : 24.905800168143085
not_improved_count: 0
Train Epoch: 12 [1/250 128/32000 (0%)] Loss: 0.00633 (QuantReg: 0.13384) QuantErr: 0.13384 batch_time=29.71834
Train Epoch: 12 [12/250 1536/32000 (5%)] Loss: 0.00785 (QuantReg: 0.13505) QuantErr: 0.13505 batch_time=0.50649
Train Epoch: 12 [23/250 2944/32000 (9%)] Loss: 0.00525 (QuantReg: 0.13719) QuantErr: 0.13719 batch_time=0.42385
Train Epoch: 12 [34/250 4352/32000 (14%)] Loss: 0.00542 (QuantReg: 0.13532) QuantErr: 0.13532 batch_time=0.57608
Train Epoch: 12 [45/250 5760/32000 (18%)] Loss: 0.00587 (QuantReg: 0.13587) QuantErr: 0.13587 batch_time=0.44937
Train Epoch: 12 [56/250 7168/32000 (22%)] Loss: 0.00632 (QuantReg: 0.13459) QuantErr: 0.13459 batch_time=0.43127
Train Epoch: 12 [67/250 8576/32000 (27%)] Loss: 0.00650 (QuantReg: 0.13462) QuantErr: 0.13462 batch_time=0.41785
Train Epoch: 12 [78/250 9984/32000 (31%)] Loss: 0.00483 (QuantReg: 0.13584) QuantErr: 0.13584 batch_time=0.43386
Train Epoch: 12 [89/250 11392/32000 (36%)] Loss: 0.00514 (QuantReg: 0.13415) QuantErr: 0.13415 batch_time=0.47526
Train Epoch: 12 [100/250 12800/32000 (40%)] Loss: 0.00715 (QuantReg: 0.13602) QuantErr: 0.13602 batch_time=0.42479
Train Epoch: 12 [111/250 14208/32000 (44%)] Loss: 0.00474 (QuantReg: 0.13351) QuantErr: 0.13351 batch_time=0.42758
Train Epoch: 12 [122/250 15616/32000 (49%)] Loss: 0.00480 (QuantReg: 0.13407) QuantErr: 0.13407 batch_time=0.42155
Train Epoch: 12 [133/250 17024/32000 (53%)] Loss: 0.00534 (QuantReg: 0.13435) QuantErr: 0.13435 batch_time=0.53981
Train Epoch: 12 [144/250 18432/32000 (58%)] Loss: 0.00538 (QuantReg: 0.13455) QuantErr: 0.13455 batch_time=0.42808
Train Epoch: 12 [155/250 19840/32000 (62%)] Loss: 0.00359 (QuantReg: 0.13406) QuantErr: 0.13406 batch_time=0.43829
Train Epoch: 12 [166/250 21248/32000 (66%)] Loss: 0.00472 (QuantReg: 0.13583) QuantErr: 0.13583 batch_time=0.44596
Train Epoch: 12 [177/250 22656/32000 (71%)] Loss: 0.00517 (QuantReg: 0.13416) QuantErr: 0.13416 batch_time=0.42639
Train Epoch: 12 [188/250 24064/32000 (75%)] Loss: 0.00412 (QuantReg: 0.13415) QuantErr: 0.13415 batch_time=0.43472
Train Epoch: 12 [199/250 25472/32000 (80%)] Loss: 0.00581 (QuantReg: 0.13492) QuantErr: 0.13492 batch_time=0.85098
Train Epoch: 12 [210/250 26880/32000 (84%)] Loss: 0.00406 (QuantReg: 0.13345) QuantErr: 0.13345 batch_time=0.66804
Train Epoch: 12 [221/250 28288/32000 (88%)] Loss: 0.00331 (QuantReg: 0.13578) QuantErr: 0.13578 batch_time=0.54905
Train Epoch: 12 [232/250 29696/32000 (93%)] Loss: 0.00526 (QuantReg: 0.13546) QuantErr: 0.13546 batch_time=0.43008
Train Epoch: 12 [243/250 31104/32000 (97%)] Loss: 0.00589 (QuantReg: 0.13542) QuantErr: 0.13542 batch_time=0.47466
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch12.pth ...
Done in 4.001s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch12.pth ...
Done in 7.918s
removing stale ckpt [epoch 11] [took 0.00s]
epoch : 12
loss : 0.005613990783691406
quant_reg : 0.134960775077343
quant_err : 0.134960775077343
learning_rate : 2.844000461382298e-05
n_samples : 384000
n_steps : 3000
MSRVTT_miech_test/t2v_metrics/R1: 11.7
MSRVTT_miech_test/t2v_metrics/R5: 35.5
MSRVTT_miech_test/t2v_metrics/R10: 49.0
MSRVTT_miech_test/t2v_metrics/R50: 82.0
MSRVTT_miech_test/t2v_metrics/MedR: 11.0
MSRVTT_miech_test/t2v_metrics/MeanR: 38.85
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 27.302563861773148
MSRVTT_miech_test/v2t_metrics/R1: 10.6
MSRVTT_miech_test/v2t_metrics/R5: 34.4
MSRVTT_miech_test/v2t_metrics/R10: 49.0
MSRVTT_miech_test/v2t_metrics/R50: 83.3
MSRVTT_miech_test/v2t_metrics/MedR: 11.0
MSRVTT_miech_test/v2t_metrics/MeanR: 36.223
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 26.142881998187587
mnt_best : 27.302563861773148
not_improved_count: 0
Train Epoch: 13 [1/250 128/32000 (0%)] Loss: 0.00665 (QuantReg: 0.13299) QuantErr: 0.13299 batch_time=27.37090
Train Epoch: 13 [12/250 1536/32000 (5%)] Loss: 0.00408 (QuantReg: 0.13462) QuantErr: 0.13462 batch_time=0.48005
Train Epoch: 13 [23/250 2944/32000 (9%)] Loss: 0.00597 (QuantReg: 0.13547) QuantErr: 0.13547 batch_time=0.41394
Train Epoch: 13 [34/250 4352/32000 (14%)] Loss: 0.00535 (QuantReg: 0.13449) QuantErr: 0.13449 batch_time=0.43380
Train Epoch: 13 [45/250 5760/32000 (18%)] Loss: 0.00642 (QuantReg: 0.13730) QuantErr: 0.13730 batch_time=0.42071
Train Epoch: 13 [56/250 7168/32000 (22%)] Loss: 0.00414 (QuantReg: 0.13665) QuantErr: 0.13665 batch_time=0.47996
Train Epoch: 13 [67/250 8576/32000 (27%)] Loss: 0.00688 (QuantReg: 0.13382) QuantErr: 0.13382 batch_time=0.44849
Train Epoch: 13 [78/250 9984/32000 (31%)] Loss: 0.00499 (QuantReg: 0.13467) QuantErr: 0.13467 batch_time=0.42456
Train Epoch: 13 [89/250 11392/32000 (36%)] Loss: 0.00495 (QuantReg: 0.13519) QuantErr: 0.13519 batch_time=0.44927
Train Epoch: 13 [100/250 12800/32000 (40%)] Loss: 0.00554 (QuantReg: 0.13416) QuantErr: 0.13416 batch_time=0.42497
Train Epoch: 13 [111/250 14208/32000 (44%)] Loss: 0.00597 (QuantReg: 0.13425) QuantErr: 0.13425 batch_time=0.46117
Train Epoch: 13 [122/250 15616/32000 (49%)] Loss: 0.00643 (QuantReg: 0.13308) QuantErr: 0.13308 batch_time=0.44645
Train Epoch: 13 [133/250 17024/32000 (53%)] Loss: 0.00612 (QuantReg: 0.13321) QuantErr: 0.13321 batch_time=0.44550
Train Epoch: 13 [144/250 18432/32000 (58%)] Loss: 0.00596 (QuantReg: 0.13467) QuantErr: 0.13467 batch_time=0.44808
Train Epoch: 13 [155/250 19840/32000 (62%)] Loss: 0.00659 (QuantReg: 0.13363) QuantErr: 0.13363 batch_time=0.45422
Train Epoch: 13 [166/250 21248/32000 (66%)] Loss: 0.00785 (QuantReg: 0.13383) QuantErr: 0.13383 batch_time=0.44303
Train Epoch: 13 [177/250 22656/32000 (71%)] Loss: 0.00438 (QuantReg: 0.13313) QuantErr: 0.13313 batch_time=0.43207
Train Epoch: 13 [188/250 24064/32000 (75%)] Loss: 0.00451 (QuantReg: 0.13355) QuantErr: 0.13355 batch_time=0.48521
Train Epoch: 13 [199/250 25472/32000 (80%)] Loss: 0.00738 (QuantReg: 0.13297) QuantErr: 0.13297 batch_time=0.42968
Train Epoch: 13 [210/250 26880/32000 (84%)] Loss: 0.00682 (QuantReg: 0.13091) QuantErr: 0.13091 batch_time=0.44615
Train Epoch: 13 [221/250 28288/32000 (88%)] Loss: 0.00469 (QuantReg: 0.13384) QuantErr: 0.13384 batch_time=0.42492
Train Epoch: 13 [232/250 29696/32000 (93%)] Loss: 0.00592 (QuantReg: 0.13347) QuantErr: 0.13347 batch_time=0.43924
Train Epoch: 13 [243/250 31104/32000 (97%)] Loss: 0.00480 (QuantReg: 0.13295) QuantErr: 0.13295 batch_time=0.47319
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch13.pth ...
Done in 5.750s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch13.pth ...
Done in 9.717s
removing stale ckpt [epoch 12] [took 0.00s]
epoch : 13
loss : 0.005287498474121094
quant_reg : 0.1342472143769264
quant_err : 0.1342472143769264
learning_rate : 2.7018004383131832e-05
n_samples : 416000
n_steps : 3250
MSRVTT_miech_test/t2v_metrics/R1: 11.9
MSRVTT_miech_test/t2v_metrics/R5: 36.1
MSRVTT_miech_test/t2v_metrics/R10: 50.8
MSRVTT_miech_test/t2v_metrics/R50: 82.4
MSRVTT_miech_test/t2v_metrics/MedR: 10.0
MSRVTT_miech_test/t2v_metrics/MeanR: 38.935
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 27.945118690824852
MSRVTT_miech_test/v2t_metrics/R1: 11.3
MSRVTT_miech_test/v2t_metrics/R5: 34.0
MSRVTT_miech_test/v2t_metrics/R10: 49.7
MSRVTT_miech_test/v2t_metrics/R50: 83.2
MSRVTT_miech_test/v2t_metrics/MedR: 11.0
MSRVTT_miech_test/v2t_metrics/MeanR: 36.745
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 26.728294617896665
mnt_best : 27.945118690824852
not_improved_count: 0
Train Epoch: 14 [1/250 128/32000 (0%)] Loss: 0.00315 (QuantReg: 0.13315) QuantErr: 0.13315 batch_time=25.78187
Train Epoch: 14 [12/250 1536/32000 (5%)] Loss: 0.00543 (QuantReg: 0.13434) QuantErr: 0.13434 batch_time=0.45133
Train Epoch: 14 [23/250 2944/32000 (9%)] Loss: 0.00455 (QuantReg: 0.13289) QuantErr: 0.13289 batch_time=0.43930
Train Epoch: 14 [34/250 4352/32000 (14%)] Loss: 0.00510 (QuantReg: 0.13308) QuantErr: 0.13308 batch_time=0.43456
Train Epoch: 14 [45/250 5760/32000 (18%)] Loss: 0.00478 (QuantReg: 0.13426) QuantErr: 0.13426 batch_time=0.43404
Train Epoch: 14 [56/250 7168/32000 (22%)] Loss: 0.00433 (QuantReg: 0.13364) QuantErr: 0.13364 batch_time=0.44954
Train Epoch: 14 [67/250 8576/32000 (27%)] Loss: 0.00469 (QuantReg: 0.13412) QuantErr: 0.13412 batch_time=1.65259
Train Epoch: 14 [78/250 9984/32000 (31%)] Loss: 0.00397 (QuantReg: 0.13396) QuantErr: 0.13396 batch_time=0.42222
Train Epoch: 14 [89/250 11392/32000 (36%)] Loss: 0.00483 (QuantReg: 0.13328) QuantErr: 0.13328 batch_time=1.48910
Train Epoch: 14 [100/250 12800/32000 (40%)] Loss: 0.00428 (QuantReg: 0.13405) QuantErr: 0.13405 batch_time=0.42465
Train Epoch: 14 [111/250 14208/32000 (44%)] Loss: 0.00418 (QuantReg: 0.13422) QuantErr: 0.13422 batch_time=0.42881
Train Epoch: 14 [122/250 15616/32000 (49%)] Loss: 0.00409 (QuantReg: 0.13306) QuantErr: 0.13306 batch_time=0.41041
Train Epoch: 14 [133/250 17024/32000 (53%)] Loss: 0.00440 (QuantReg: 0.13449) QuantErr: 0.13449 batch_time=0.42542
Train Epoch: 14 [144/250 18432/32000 (58%)] Loss: 0.00562 (QuantReg: 0.13246) QuantErr: 0.13246 batch_time=0.48207
Train Epoch: 14 [155/250 19840/32000 (62%)] Loss: 0.00463 (QuantReg: 0.13454) QuantErr: 0.13454 batch_time=0.41650
Train Epoch: 14 [166/250 21248/32000 (66%)] Loss: 0.00382 (QuantReg: 0.13502) QuantErr: 0.13502 batch_time=0.42719
Train Epoch: 14 [177/250 22656/32000 (71%)] Loss: 0.00528 (QuantReg: 0.13617) QuantErr: 0.13617 batch_time=0.43413
Train Epoch: 14 [188/250 24064/32000 (75%)] Loss: 0.00337 (QuantReg: 0.13359) QuantErr: 0.13359 batch_time=0.42495
Train Epoch: 14 [199/250 25472/32000 (80%)] Loss: 0.00483 (QuantReg: 0.13340) QuantErr: 0.13340 batch_time=0.41933
Train Epoch: 14 [210/250 26880/32000 (84%)] Loss: 0.00353 (QuantReg: 0.13314) QuantErr: 0.13314 batch_time=1.00899
Train Epoch: 14 [221/250 28288/32000 (88%)] Loss: 0.00381 (QuantReg: 0.13513) QuantErr: 0.13513 batch_time=2.14548
Train Epoch: 14 [232/250 29696/32000 (93%)] Loss: 0.00399 (QuantReg: 0.13516) QuantErr: 0.13516 batch_time=0.41881
Train Epoch: 14 [243/250 31104/32000 (97%)] Loss: 0.00415 (QuantReg: 0.13380) QuantErr: 0.13380 batch_time=0.40716
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch14.pth ...
Done in 4.147s
removing stale ckpt [epoch 13] [took 0.01s]
epoch : 14
loss : 0.004935134887695312
quant_reg : 0.13401958298683167
quant_err : 0.13401958298683167
learning_rate : 2.566710416397524e-05
n_samples : 448000
n_steps : 3500
MSRVTT_miech_test/t2v_metrics/R1: 11.6
MSRVTT_miech_test/t2v_metrics/R5: 36.1
MSRVTT_miech_test/t2v_metrics/R10: 51.0
MSRVTT_miech_test/t2v_metrics/R50: 83.7
MSRVTT_miech_test/t2v_metrics/MedR: 10.0
MSRVTT_miech_test/t2v_metrics/MeanR: 37.309
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 27.744599224907333
MSRVTT_miech_test/v2t_metrics/R1: 11.7
MSRVTT_miech_test/v2t_metrics/R5: 33.5
MSRVTT_miech_test/v2t_metrics/R10: 50.9
MSRVTT_miech_test/v2t_metrics/R50: 84.9
MSRVTT_miech_test/v2t_metrics/MedR: 10.0
MSRVTT_miech_test/v2t_metrics/MeanR: 35.199
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 27.121652697726404
mnt_best : 27.945118690824852
not_improved_count: 1
Train Epoch: 15 [1/250 128/32000 (0%)] Loss: 0.00640 (QuantReg: 0.13454) QuantErr: 0.13454 batch_time=26.26806
Train Epoch: 15 [12/250 1536/32000 (5%)] Loss: 0.00479 (QuantReg: 0.13497) QuantErr: 0.13497 batch_time=0.45593
Train Epoch: 15 [23/250 2944/32000 (9%)] Loss: 0.00436 (QuantReg: 0.13416) QuantErr: 0.13416 batch_time=0.47011
Train Epoch: 15 [34/250 4352/32000 (14%)] Loss: 0.00500 (QuantReg: 0.13420) QuantErr: 0.13420 batch_time=0.56532
Train Epoch: 15 [45/250 5760/32000 (18%)] Loss: 0.00513 (QuantReg: 0.13460) QuantErr: 0.13460 batch_time=0.59503
Train Epoch: 15 [56/250 7168/32000 (22%)] Loss: 0.00311 (QuantReg: 0.13382) QuantErr: 0.13382 batch_time=0.46883
Train Epoch: 15 [67/250 8576/32000 (27%)] Loss: 0.00562 (QuantReg: 0.13351) QuantErr: 0.13351 batch_time=5.67927
Train Epoch: 15 [78/250 9984/32000 (31%)] Loss: 0.00567 (QuantReg: 0.13327) QuantErr: 0.13327 batch_time=0.46707
Train Epoch: 15 [89/250 11392/32000 (36%)] Loss: 0.00482 (QuantReg: 0.13342) QuantErr: 0.13342 batch_time=0.44150
Train Epoch: 15 [100/250 12800/32000 (40%)] Loss: 0.00515 (QuantReg: 0.13238) QuantErr: 0.13238 batch_time=0.42055
Train Epoch: 15 [111/250 14208/32000 (44%)] Loss: 0.00537 (QuantReg: 0.13274) QuantErr: 0.13274 batch_time=0.44003
Train Epoch: 15 [122/250 15616/32000 (49%)] Loss: 0.00448 (QuantReg: 0.13516) QuantErr: 0.13516 batch_time=0.44760
Train Epoch: 15 [133/250 17024/32000 (53%)] Loss: 0.00394 (QuantReg: 0.13375) QuantErr: 0.13375 batch_time=0.44051
Train Epoch: 15 [144/250 18432/32000 (58%)] Loss: 0.00529 (QuantReg: 0.13318) QuantErr: 0.13318 batch_time=0.45725
Train Epoch: 15 [155/250 19840/32000 (62%)] Loss: 0.00314 (QuantReg: 0.13479) QuantErr: 0.13479 batch_time=0.43663
Train Epoch: 15 [166/250 21248/32000 (66%)] Loss: 0.00549 (QuantReg: 0.13243) QuantErr: 0.13243 batch_time=0.43935
Train Epoch: 15 [177/250 22656/32000 (71%)] Loss: 0.00560 (QuantReg: 0.13517) QuantErr: 0.13517 batch_time=0.45380
Train Epoch: 15 [188/250 24064/32000 (75%)] Loss: 0.00456 (QuantReg: 0.13299) QuantErr: 0.13299 batch_time=0.44391
Train Epoch: 15 [199/250 25472/32000 (80%)] Loss: 0.00446 (QuantReg: 0.13194) QuantErr: 0.13194 batch_time=0.43358
Train Epoch: 15 [210/250 26880/32000 (84%)] Loss: 0.00425 (QuantReg: 0.13645) QuantErr: 0.13645 batch_time=0.62732
Train Epoch: 15 [221/250 28288/32000 (88%)] Loss: 0.00534 (QuantReg: 0.13454) QuantErr: 0.13454 batch_time=0.43215
Train Epoch: 15 [232/250 29696/32000 (93%)] Loss: 0.00520 (QuantReg: 0.13382) QuantErr: 0.13382 batch_time=0.43835
Train Epoch: 15 [243/250 31104/32000 (97%)] Loss: 0.00390 (QuantReg: 0.13296) QuantErr: 0.13296 batch_time=0.46304
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch15.pth ...
Done in 18.207s
removing stale ckpt [epoch 14] [took 0.00s]
epoch : 15
loss : 0.00478167724609375
quant_reg : 0.134310448884964
quant_err : 0.134310448884964
learning_rate : 2.4383748955776477e-05
n_samples : 480000
n_steps : 3750
MSRVTT_miech_test/t2v_metrics/R1: 11.6
MSRVTT_miech_test/t2v_metrics/R5: 35.4
MSRVTT_miech_test/t2v_metrics/R10: 49.7
MSRVTT_miech_test/t2v_metrics/R50: 84.0
MSRVTT_miech_test/t2v_metrics/MedR: 11.0
MSRVTT_miech_test/t2v_metrics/MeanR: 37.515
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 27.32787610001287
MSRVTT_miech_test/v2t_metrics/R1: 12.0
MSRVTT_miech_test/v2t_metrics/R5: 36.1
MSRVTT_miech_test/v2t_metrics/R10: 51.6
MSRVTT_miech_test/v2t_metrics/R50: 84.4
MSRVTT_miech_test/v2t_metrics/MedR: 10.0
MSRVTT_miech_test/v2t_metrics/MeanR: 33.669
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 28.16951587406599
mnt_best : 27.945118690824852
not_improved_count: 2
Train Epoch: 16 [1/250 128/32000 (0%)] Loss: 0.00352 (QuantReg: 0.13574) QuantErr: 0.13574 batch_time=29.38869
Train Epoch: 16 [12/250 1536/32000 (5%)] Loss: 0.00581 (QuantReg: 0.13387) QuantErr: 0.13387 batch_time=0.45804
Train Epoch: 16 [23/250 2944/32000 (9%)] Loss: 0.00539 (QuantReg: 0.13463) QuantErr: 0.13463 batch_time=0.42791
Train Epoch: 16 [34/250 4352/32000 (14%)] Loss: 0.00495 (QuantReg: 0.13367) QuantErr: 0.13367 batch_time=0.45503
Train Epoch: 16 [45/250 5760/32000 (18%)] Loss: 0.00419 (QuantReg: 0.13644) QuantErr: 0.13644 batch_time=0.44728
Train Epoch: 16 [56/250 7168/32000 (22%)] Loss: 0.00672 (QuantReg: 0.13387) QuantErr: 0.13387 batch_time=0.43674
Train Epoch: 16 [67/250 8576/32000 (27%)] Loss: 0.00694 (QuantReg: 0.13561) QuantErr: 0.13561 batch_time=0.44226
Train Epoch: 16 [78/250 9984/32000 (31%)] Loss: 0.00445 (QuantReg: 0.13468) QuantErr: 0.13468 batch_time=0.42286
Train Epoch: 16 [89/250 11392/32000 (36%)] Loss: 0.00439 (QuantReg: 0.13402) QuantErr: 0.13402 batch_time=0.46382
Train Epoch: 16 [100/250 12800/32000 (40%)] Loss: 0.00525 (QuantReg: 0.13484) QuantErr: 0.13484 batch_time=0.45941
Train Epoch: 16 [111/250 14208/32000 (44%)] Loss: 0.00420 (QuantReg: 0.13307) QuantErr: 0.13307 batch_time=0.42985
Train Epoch: 16 [122/250 15616/32000 (49%)] Loss: 0.00401 (QuantReg: 0.13433) QuantErr: 0.13433 batch_time=0.46880
Train Epoch: 16 [133/250 17024/32000 (53%)] Loss: 0.00395 (QuantReg: 0.13451) QuantErr: 0.13451 batch_time=0.45416
Train Epoch: 16 [144/250 18432/32000 (58%)] Loss: 0.00547 (QuantReg: 0.13527) QuantErr: 0.13527 batch_time=2.52470
Train Epoch: 16 [155/250 19840/32000 (62%)] Loss: 0.00377 (QuantReg: 0.13389) QuantErr: 0.13389 batch_time=0.46840
Train Epoch: 16 [166/250 21248/32000 (66%)] Loss: 0.00482 (QuantReg: 0.13245) QuantErr: 0.13245 batch_time=0.45104
Train Epoch: 16 [177/250 22656/32000 (71%)] Loss: 0.00469 (QuantReg: 0.13368) QuantErr: 0.13368 batch_time=0.43553
Train Epoch: 16 [188/250 24064/32000 (75%)] Loss: 0.00730 (QuantReg: 0.13199) QuantErr: 0.13199 batch_time=0.44193
Train Epoch: 16 [199/250 25472/32000 (80%)] Loss: 0.00607 (QuantReg: 0.13560) QuantErr: 0.13560 batch_time=0.43941
Train Epoch: 16 [210/250 26880/32000 (84%)] Loss: 0.00455 (QuantReg: 0.13671) QuantErr: 0.13671 batch_time=0.44536
Train Epoch: 16 [221/250 28288/32000 (88%)] Loss: 0.00383 (QuantReg: 0.13436) QuantErr: 0.13436 batch_time=0.47317
Train Epoch: 16 [232/250 29696/32000 (93%)] Loss: 0.00414 (QuantReg: 0.13532) QuantErr: 0.13532 batch_time=0.42669
Train Epoch: 16 [243/250 31104/32000 (97%)] Loss: 0.00526 (QuantReg: 0.13493) QuantErr: 0.13493 batch_time=0.43621
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch16.pth ...
Done in 3.927s
Updating 'best' checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch16.pth ...
Done in 7.800s
removing stale ckpt [epoch 15] [took 0.00s]
epoch : 16
loss : 0.004735565185546875
quant_reg : 0.13410751813650132
quant_err : 0.13410751813650132
learning_rate : 2.3164561507987653e-05
n_samples : 512000
n_steps : 4000
MSRVTT_miech_test/t2v_metrics/R1: 12.6
MSRVTT_miech_test/t2v_metrics/R5: 38.2
MSRVTT_miech_test/t2v_metrics/R10: 52.9
MSRVTT_miech_test/t2v_metrics/R50: 83.6
MSRVTT_miech_test/t2v_metrics/MedR: 9.5
MSRVTT_miech_test/t2v_metrics/MeanR: 37.328
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 29.419132347507926
MSRVTT_miech_test/v2t_metrics/R1: 12.9
MSRVTT_miech_test/v2t_metrics/R5: 35.9
MSRVTT_miech_test/v2t_metrics/R10: 52.1
MSRVTT_miech_test/v2t_metrics/R50: 84.9
MSRVTT_miech_test/v2t_metrics/MedR: 10.0
MSRVTT_miech_test/v2t_metrics/MeanR: 33.438
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 28.896192871016616
mnt_best : 29.419132347507926
not_improved_count: 0
Train Epoch: 17 [1/250 128/32000 (0%)] Loss: 0.00397 (QuantReg: 0.13153) QuantErr: 0.13153 batch_time=27.18867
Train Epoch: 17 [12/250 1536/32000 (5%)] Loss: 0.00491 (QuantReg: 0.13574) QuantErr: 0.13574 batch_time=0.43525
Train Epoch: 17 [23/250 2944/32000 (9%)] Loss: 0.00388 (QuantReg: 0.13280) QuantErr: 0.13280 batch_time=1.54278
Train Epoch: 17 [34/250 4352/32000 (14%)] Loss: 0.00347 (QuantReg: 0.13565) QuantErr: 0.13565 batch_time=0.55077
Train Epoch: 17 [45/250 5760/32000 (18%)] Loss: 0.00603 (QuantReg: 0.13380) QuantErr: 0.13380 batch_time=0.55706
Train Epoch: 17 [56/250 7168/32000 (22%)] Loss: 0.00309 (QuantReg: 0.13445) QuantErr: 0.13445 batch_time=0.42465
Train Epoch: 17 [67/250 8576/32000 (27%)] Loss: 0.00350 (QuantReg: 0.13454) QuantErr: 0.13454 batch_time=0.55133
Train Epoch: 17 [78/250 9984/32000 (31%)] Loss: 0.00356 (QuantReg: 0.13373) QuantErr: 0.13373 batch_time=0.44069
Train Epoch: 17 [89/250 11392/32000 (36%)] Loss: 0.00428 (QuantReg: 0.13435) QuantErr: 0.13435 batch_time=0.41957
Train Epoch: 17 [100/250 12800/32000 (40%)] Loss: 0.00359 (QuantReg: 0.13251) QuantErr: 0.13251 batch_time=0.75919
Train Epoch: 17 [111/250 14208/32000 (44%)] Loss: 0.00460 (QuantReg: 0.13258) QuantErr: 0.13258 batch_time=0.48477
Train Epoch: 17 [122/250 15616/32000 (49%)] Loss: 0.00510 (QuantReg: 0.13471) QuantErr: 0.13471 batch_time=0.43571
Train Epoch: 17 [133/250 17024/32000 (53%)] Loss: 0.00401 (QuantReg: 0.13358) QuantErr: 0.13358 batch_time=6.00152
Train Epoch: 17 [144/250 18432/32000 (58%)] Loss: 0.00421 (QuantReg: 0.13463) QuantErr: 0.13463 batch_time=0.42630
Train Epoch: 17 [155/250 19840/32000 (62%)] Loss: 0.00453 (QuantReg: 0.13493) QuantErr: 0.13493 batch_time=0.44705
Train Epoch: 17 [166/250 21248/32000 (66%)] Loss: 0.00735 (QuantReg: 0.13605) QuantErr: 0.13605 batch_time=0.46863
Train Epoch: 17 [177/250 22656/32000 (71%)] Loss: 0.00302 (QuantReg: 0.13244) QuantErr: 0.13244 batch_time=0.42643
Train Epoch: 17 [188/250 24064/32000 (75%)] Loss: 0.00555 (QuantReg: 0.13410) QuantErr: 0.13410 batch_time=0.44037
Train Epoch: 17 [199/250 25472/32000 (80%)] Loss: 0.00391 (QuantReg: 0.13414) QuantErr: 0.13414 batch_time=0.42765
Train Epoch: 17 [210/250 26880/32000 (84%)] Loss: 0.00480 (QuantReg: 0.13516) QuantErr: 0.13516 batch_time=0.45755
Train Epoch: 17 [221/250 28288/32000 (88%)] Loss: 0.00405 (QuantReg: 0.13507) QuantErr: 0.13507 batch_time=0.42982
Train Epoch: 17 [232/250 29696/32000 (93%)] Loss: 0.00519 (QuantReg: 0.13496) QuantErr: 0.13496 batch_time=0.49852
Train Epoch: 17 [243/250 31104/32000 (97%)] Loss: 0.00420 (QuantReg: 0.13446) QuantErr: 0.13446 batch_time=0.44202
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch17.pth ...
Done in 4.296s
removing stale ckpt [epoch 16] [took 0.00s]
epoch : 17
loss : 0.004459068298339843
quant_reg : 0.13398552960157395
quant_err : 0.13398552960157395
learning_rate : 2.2006333432588268e-05
n_samples : 544000
n_steps : 4250
MSRVTT_miech_test/t2v_metrics/R1: 11.0
MSRVTT_miech_test/t2v_metrics/R5: 35.5
MSRVTT_miech_test/t2v_metrics/R10: 51.2
MSRVTT_miech_test/t2v_metrics/R50: 82.5
MSRVTT_miech_test/t2v_metrics/MedR: 10.0
MSRVTT_miech_test/t2v_metrics/MeanR: 39.412
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 27.14128047826272
MSRVTT_miech_test/v2t_metrics/R1: 12.2
MSRVTT_miech_test/v2t_metrics/R5: 34.9
MSRVTT_miech_test/v2t_metrics/R10: 50.2
MSRVTT_miech_test/v2t_metrics/R50: 83.2
MSRVTT_miech_test/v2t_metrics/MedR: 10.0
MSRVTT_miech_test/v2t_metrics/MeanR: 36.345
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 27.752130237138463
mnt_best : 29.419132347507926
not_improved_count: 1
Train Epoch: 18 [1/250 128/32000 (0%)] Loss: 0.00399 (QuantReg: 0.13549) QuantErr: 0.13549 batch_time=31.85329
Train Epoch: 18 [12/250 1536/32000 (5%)] Loss: 0.00541 (QuantReg: 0.13460) QuantErr: 0.13460 batch_time=0.49538
Train Epoch: 18 [23/250 2944/32000 (9%)] Loss: 0.00431 (QuantReg: 0.13582) QuantErr: 0.13582 batch_time=0.41392
Train Epoch: 18 [34/250 4352/32000 (14%)] Loss: 0.00278 (QuantReg: 0.13558) QuantErr: 0.13558 batch_time=0.41889
Train Epoch: 18 [45/250 5760/32000 (18%)] Loss: 0.00341 (QuantReg: 0.13585) QuantErr: 0.13585 batch_time=0.46477
Train Epoch: 18 [56/250 7168/32000 (22%)] Loss: 0.00312 (QuantReg: 0.13397) QuantErr: 0.13397 batch_time=0.41041
Train Epoch: 18 [67/250 8576/32000 (27%)] Loss: 0.00404 (QuantReg: 0.13661) QuantErr: 0.13661 batch_time=0.44629
Train Epoch: 18 [78/250 9984/32000 (31%)] Loss: 0.00436 (QuantReg: 0.13447) QuantErr: 0.13447 batch_time=0.43632
Train Epoch: 18 [89/250 11392/32000 (36%)] Loss: 0.00531 (QuantReg: 0.13518) QuantErr: 0.13518 batch_time=0.41215
Train Epoch: 18 [100/250 12800/32000 (40%)] Loss: 0.00339 (QuantReg: 0.13379) QuantErr: 0.13379 batch_time=0.43717
Train Epoch: 18 [111/250 14208/32000 (44%)] Loss: 0.00416 (QuantReg: 0.13456) QuantErr: 0.13456 batch_time=0.42108
Train Epoch: 18 [122/250 15616/32000 (49%)] Loss: 0.00566 (QuantReg: 0.13582) QuantErr: 0.13582 batch_time=0.46819
Train Epoch: 18 [133/250 17024/32000 (53%)] Loss: 0.00448 (QuantReg: 0.13642) QuantErr: 0.13642 batch_time=0.43048
Train Epoch: 18 [144/250 18432/32000 (58%)] Loss: 0.00284 (QuantReg: 0.13417) QuantErr: 0.13417 batch_time=0.43437
Train Epoch: 18 [155/250 19840/32000 (62%)] Loss: 0.00369 (QuantReg: 0.13394) QuantErr: 0.13394 batch_time=0.43184
Train Epoch: 18 [166/250 21248/32000 (66%)] Loss: 0.00396 (QuantReg: 0.13432) QuantErr: 0.13432 batch_time=0.43819
Train Epoch: 18 [177/250 22656/32000 (71%)] Loss: 0.00410 (QuantReg: 0.13529) QuantErr: 0.13529 batch_time=0.42302
Train Epoch: 18 [188/250 24064/32000 (75%)] Loss: 0.00558 (QuantReg: 0.13408) QuantErr: 0.13408 batch_time=0.45772
Train Epoch: 18 [199/250 25472/32000 (80%)] Loss: 0.00404 (QuantReg: 0.13432) QuantErr: 0.13432 batch_time=0.44670
Train Epoch: 18 [210/250 26880/32000 (84%)] Loss: 0.00447 (QuantReg: 0.13387) QuantErr: 0.13387 batch_time=0.44969
Train Epoch: 18 [221/250 28288/32000 (88%)] Loss: 0.00375 (QuantReg: 0.13414) QuantErr: 0.13414 batch_time=0.45195
Train Epoch: 18 [232/250 29696/32000 (93%)] Loss: 0.00402 (QuantReg: 0.13477) QuantErr: 0.13477 batch_time=0.46126
Train Epoch: 18 [243/250 31104/32000 (97%)] Loss: 0.00387 (QuantReg: 0.13369) QuantErr: 0.13369 batch_time=0.42584
Saving checkpoint: /apdcephfs/share_47076/gimwang/HCQ/exps/JPQ_MSRVTT_1kB/checkpoint-epoch18.pth ...
Done in 4.132s
removing stale ckpt [epoch 17] [took 0.00s]
epoch : 18
loss : 0.004235595703125
quant_reg : 0.13483116805553436
quant_err : 0.13483116805553436
learning_rate : 2.0906016760958855e-05
n_samples : 576000
n_steps : 4500
MSRVTT_miech_test/t2v_metrics/R1: 11.8
MSRVTT_miech_test/t2v_metrics/R5: 38.2
MSRVTT_miech_test/t2v_metrics/R10: 53.6
MSRVTT_miech_test/t2v_metrics/R50: 83.5
MSRVTT_miech_test/t2v_metrics/MedR: 9.0
MSRVTT_miech_test/t2v_metrics/MeanR: 37.818
MSRVTT_miech_test/t2v_metrics/geometric_mean_R1-R5-R10: 28.909243021567605
MSRVTT_miech_test/v2t_metrics/R1: 13.1
MSRVTT_miech_test/v2t_metrics/R5: 36.2
MSRVTT_miech_test/v2t_metrics/R10: 53.6
MSRVTT_miech_test/v2t_metrics/R50: 84.3
MSRVTT_miech_test/v2t_metrics/MedR: 9.0
MSRVTT_miech_test/v2t_metrics/MeanR: 33.12
MSRVTT_miech_test/v2t_metrics/geometric_mean_R1-R5-R10: 29.402316753277063
mnt_best : 29.419132347507926
not_improved_count: 2
Train Epoch: 19 [1/250 128/32000 (0%)] Loss: 0.00227 (QuantReg: 0.13501) QuantErr: 0.13501 batch_time=32.59169
Train Epoch: 19 [12/250 1536/32000 (5%)] Loss: 0.00405 (QuantReg: 0.13579) QuantErr: 0.13579 batch_time=0.45341
Train Epoch: 19 [23/250 2944/32000 (9%)] Loss: 0.00306 (QuantReg: 0.13445) QuantErr: 0.13445 batch_time=0.42684
Train Epoch: 19 [34/250 4352/32000 (14%)] Loss: 0.00308 (QuantReg: 0.13415) QuantErr: 0.13415 batch_time=0.43732
Train Epoch: 19 [45/250 5760/32000 (18%)] Loss: 0.00315 (QuantReg: 0.13798) QuantErr: 0.13798 batch_time=0.43071
Train Epoch: 19 [56/250 7168/32000 (22%)] Loss: 0.00394 (QuantReg: 0.13286) QuantErr: 0.13286 batch_time=0.44071
Train Epoch: 19 [67/250 8576/32000 (27%)] Loss: 0.00376 (QuantReg: 0.13400) QuantErr: 0.13400 batch_time=0.43199
Train Epoch: 19 [78/250 9984/32000 (31%)] Loss: 0.00492 (QuantReg: 0.13577) QuantErr: 0.13577 batch_time=0.43747
Train Epoch: 19 [89/250 11392/32000 (36%)] Loss: 0.00430 (QuantReg: 0.13571) QuantErr: 0.13571 batch_time=0.47362
Train Epoch: 19 [100/250 12800/32000 (40%)] Loss: 0.00268 (QuantReg: 0.13779) QuantErr: 0.13779 batch_time=0.42349
Train Epoch: 19 [111/250 14208/32000 (44%)] Loss: 0.00362 (QuantReg: 0.13494) QuantErr: 0.13494 batch_time=0.48982
Train Epoch: 19 [122/250 15616/32000 (49%)] Loss: 0.00363 (QuantReg: 0.13568) QuantErr: 0.13568 batch_time=0.42663
Train Epoch: 19 [133/250 17024/32000 (53%)] Loss: 0.00499 (QuantReg: 0.13338) QuantErr: 0.13338 batch_time=0.48654
Train Epoch: 19 [144/250 18432/32000 (58%)] Loss: 0.00386 (QuantReg: 0.13773) QuantErr: 0.13773 batch_time=0.43001
Train Epoch: 19 [155/250 19840/32000 (62%)] Loss: 0.00546 (QuantReg: 0.13366) QuantErr: 0.13366 batch_time=0.43207
Train Epoch: 19 [166/250 21248/32000 (66%)] Loss: 0.00239 (QuantReg: 0.13480) QuantErr: 0.13480 batch_time=0.45746
Train Epoch: 19 [177/250 22656/32000 (71%)] Loss: 0.00358 (QuantReg: 0.13676) QuantErr: 0.13676 batch_time=0.42741
Train Epoch: 19 [188/250 24064/32000 (75%)] Loss: 0.00384 (QuantReg: 0.13647) QuantErr: 0.13647 batch_time=0.46501