2023-04-06 02:11:15,541 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:11:15,542 Model: "SequenceTagger( (embeddings): StackedEmbeddings( (list_embedding_0): BytePairEmbeddings(model=0-bpe-en-100000-50) (list_embedding_1): FlairEmbeddings( (lm): LanguageModel( (drop): Dropout(p=0.05, inplace=False) (encoder): Embedding(300, 100) (rnn): LSTM(100, 2048) ) ) (list_embedding_2): FlairEmbeddings( (lm): LanguageModel( (drop): Dropout(p=0.05, inplace=False) (encoder): Embedding(300, 100) (rnn): LSTM(100, 2048) ) ) ) (word_dropout): WordDropout(p=0.05) (locked_dropout): LockedDropout(p=0.5) (embedding2nn): Linear(in_features=4196, out_features=4196, bias=True) (rnn): LSTM(4196, 256, batch_first=True, bidirectional=True) (linear): Linear(in_features=512, out_features=4852, bias=True) (loss_function): CrossEntropyLoss() )" 2023-04-06 02:11:15,542 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:11:15,542 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences" 2023-04-06 02:11:15,542 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:11:15,542 Parameters: 2023-04-06 02:11:15,542 - learning_rate: "0.100000" 2023-04-06 02:11:15,542 - mini_batch_size: "32" 2023-04-06 02:11:15,542 - patience: "3" 2023-04-06 02:11:15,542 - anneal_factor: "0.5" 2023-04-06 02:11:15,542 - max_epochs: "150" 2023-04-06 02:11:15,542 - shuffle: "True" 2023-04-06 02:11:15,542 - train_with_dev: "True" 2023-04-06 02:11:15,542 - batch_growth_annealing: "False" 2023-04-06 02:11:15,542 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:11:15,542 Model training base path: "resources/taggers/release-frame-0" 2023-04-06 02:11:15,542 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:11:15,542 Device: cuda:2 2023-04-06 02:11:15,542 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:11:15,542 Embeddings storage mode: cpu 2023-04-06 02:11:15,542 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:11:30,360 epoch 1 - iter 265/2650 - loss 1.08449696 - time (sec): 14.82 - samples/sec: 4353.55 - lr: 0.100000 2023-04-06 02:11:59,078 epoch 1 - iter 530/2650 - loss 0.94979727 - time (sec): 43.54 - samples/sec: 5091.27 - lr: 0.100000 2023-04-06 02:12:33,250 epoch 1 - iter 795/2650 - loss 0.86105698 - time (sec): 77.71 - samples/sec: 5118.32 - lr: 0.100000 2023-04-06 02:13:21,340 epoch 1 - iter 1060/2650 - loss 0.81522136 - time (sec): 125.80 - samples/sec: 4417.67 - lr: 0.100000 2023-04-06 02:13:41,096 epoch 1 - iter 1325/2650 - loss 0.73285602 - time (sec): 145.55 - samples/sec: 4641.89 - lr: 0.100000 2023-04-06 02:14:05,668 epoch 1 - iter 1590/2650 - loss 0.67108142 - time (sec): 170.13 - samples/sec: 4794.30 - lr: 0.100000 2023-04-06 02:14:47,186 epoch 1 - iter 1855/2650 - loss 0.64773141 - time (sec): 211.64 - samples/sec: 4868.75 - lr: 0.100000 2023-04-06 02:15:17,836 epoch 1 - iter 2120/2650 - loss 0.62494351 - time (sec): 242.29 - samples/sec: 4967.78 - lr: 0.100000 2023-04-06 02:15:41,956 epoch 1 - iter 2385/2650 - loss 0.60237175 - time (sec): 266.41 - samples/sec: 4943.33 - lr: 0.100000 2023-04-06 02:16:15,340 epoch 1 - iter 2650/2650 - loss 0.58266052 - time (sec): 299.80 - samples/sec: 4916.05 - lr: 0.100000 2023-04-06 02:16:15,340 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:16:15,340 EPOCH 1 done: loss 0.5827 - lr 0.100000 2023-04-06 02:16:15,340 BAD EPOCHS (no improvement): 0 2023-04-06 02:16:15,344 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:16:25,614 epoch 2 - iter 265/2650 - loss 0.37907178 - time (sec): 10.27 - samples/sec: 14453.31 - lr: 0.100000 2023-04-06 02:16:35,693 epoch 2 - iter 530/2650 - loss 0.36840083 - time (sec): 20.35 - samples/sec: 14458.99 - lr: 0.100000 2023-04-06 02:16:46,078 epoch 2 - iter 795/2650 - loss 0.36195097 - time (sec): 30.73 - samples/sec: 14460.57 - lr: 0.100000 2023-04-06 02:16:56,165 epoch 2 - iter 1060/2650 - loss 0.35637116 - time (sec): 40.82 - samples/sec: 14460.56 - lr: 0.100000 2023-04-06 02:17:06,378 epoch 2 - iter 1325/2650 - loss 0.35058875 - time (sec): 51.03 - samples/sec: 14453.43 - lr: 0.100000 2023-04-06 02:17:16,411 epoch 2 - iter 1590/2650 - loss 0.34458668 - time (sec): 61.07 - samples/sec: 14458.00 - lr: 0.100000 2023-04-06 02:17:26,697 epoch 2 - iter 1855/2650 - loss 0.33962920 - time (sec): 71.35 - samples/sec: 14447.60 - lr: 0.100000 2023-04-06 02:17:36,925 epoch 2 - iter 2120/2650 - loss 0.33498268 - time (sec): 81.58 - samples/sec: 14443.26 - lr: 0.100000 2023-04-06 02:17:47,150 epoch 2 - iter 2385/2650 - loss 0.33018179 - time (sec): 91.81 - samples/sec: 14454.86 - lr: 0.100000 2023-04-06 02:17:57,353 epoch 2 - iter 2650/2650 - loss 0.32626485 - time (sec): 102.01 - samples/sec: 14447.93 - lr: 0.100000 2023-04-06 02:17:57,353 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:17:57,354 EPOCH 2 done: loss 0.3263 - lr 0.100000 2023-04-06 02:17:57,354 BAD EPOCHS (no improvement): 0 2023-04-06 02:17:57,357 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:18:07,594 epoch 3 - iter 265/2650 - loss 0.26769113 - time (sec): 10.24 - samples/sec: 14514.57 - lr: 0.100000 2023-04-06 02:18:17,784 epoch 3 - iter 530/2650 - loss 0.27169170 - time (sec): 20.43 - samples/sec: 14473.54 - lr: 0.100000 2023-04-06 02:18:27,998 epoch 3 - iter 795/2650 - loss 0.27010141 - time (sec): 30.64 - samples/sec: 14500.05 - lr: 0.100000 2023-04-06 02:18:38,312 epoch 3 - iter 1060/2650 - loss 0.26806000 - time (sec): 40.95 - samples/sec: 14435.60 - lr: 0.100000 2023-04-06 02:18:48,541 epoch 3 - iter 1325/2650 - loss 0.26683627 - time (sec): 51.18 - samples/sec: 14430.35 - lr: 0.100000 2023-04-06 02:18:58,683 epoch 3 - iter 1590/2650 - loss 0.26525738 - time (sec): 61.32 - samples/sec: 14417.79 - lr: 0.100000 2023-04-06 02:19:08,958 epoch 3 - iter 1855/2650 - loss 0.26334737 - time (sec): 71.60 - samples/sec: 14433.10 - lr: 0.100000 2023-04-06 02:19:19,033 epoch 3 - iter 2120/2650 - loss 0.26209323 - time (sec): 81.68 - samples/sec: 14436.50 - lr: 0.100000 2023-04-06 02:19:29,191 epoch 3 - iter 2385/2650 - loss 0.26086725 - time (sec): 91.83 - samples/sec: 14453.44 - lr: 0.100000 2023-04-06 02:19:39,402 epoch 3 - iter 2650/2650 - loss 0.25914486 - time (sec): 102.04 - samples/sec: 14443.00 - lr: 0.100000 2023-04-06 02:19:39,402 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:19:39,402 EPOCH 3 done: loss 0.2591 - lr 0.100000 2023-04-06 02:19:39,402 BAD EPOCHS (no improvement): 0 2023-04-06 02:19:39,405 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:19:49,510 epoch 4 - iter 265/2650 - loss 0.24284925 - time (sec): 10.10 - samples/sec: 14597.98 - lr: 0.100000 2023-04-06 02:19:59,741 epoch 4 - iter 530/2650 - loss 0.23644749 - time (sec): 20.34 - samples/sec: 14546.11 - lr: 0.100000 2023-04-06 02:20:09,829 epoch 4 - iter 795/2650 - loss 0.23624373 - time (sec): 30.42 - samples/sec: 14548.33 - lr: 0.100000 2023-04-06 02:20:20,068 epoch 4 - iter 1060/2650 - loss 0.23507210 - time (sec): 40.66 - samples/sec: 14535.56 - lr: 0.100000 2023-04-06 02:20:30,221 epoch 4 - iter 1325/2650 - loss 0.23355953 - time (sec): 50.82 - samples/sec: 14507.00 - lr: 0.100000 2023-04-06 02:20:40,342 epoch 4 - iter 1590/2650 - loss 0.23216924 - time (sec): 60.94 - samples/sec: 14487.60 - lr: 0.100000 2023-04-06 02:20:50,708 epoch 4 - iter 1855/2650 - loss 0.23136157 - time (sec): 71.30 - samples/sec: 14478.11 - lr: 0.100000 2023-04-06 02:21:00,917 epoch 4 - iter 2120/2650 - loss 0.23024709 - time (sec): 81.51 - samples/sec: 14477.89 - lr: 0.100000 2023-04-06 02:21:11,164 epoch 4 - iter 2385/2650 - loss 0.22875688 - time (sec): 91.76 - samples/sec: 14458.06 - lr: 0.100000 2023-04-06 02:21:21,402 epoch 4 - iter 2650/2650 - loss 0.22762539 - time (sec): 102.00 - samples/sec: 14449.73 - lr: 0.100000 2023-04-06 02:21:21,402 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:21:21,402 EPOCH 4 done: loss 0.2276 - lr 0.100000 2023-04-06 02:21:21,402 BAD EPOCHS (no improvement): 0 2023-04-06 02:21:21,405 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:21:31,710 epoch 5 - iter 265/2650 - loss 0.20513274 - time (sec): 10.31 - samples/sec: 14287.21 - lr: 0.100000 2023-04-06 02:21:41,847 epoch 5 - iter 530/2650 - loss 0.20850903 - time (sec): 20.44 - samples/sec: 14311.02 - lr: 0.100000 2023-04-06 02:21:51,984 epoch 5 - iter 795/2650 - loss 0.20845230 - time (sec): 30.58 - samples/sec: 14342.92 - lr: 0.100000 2023-04-06 02:22:02,169 epoch 5 - iter 1060/2650 - loss 0.20922840 - time (sec): 40.76 - samples/sec: 14374.38 - lr: 0.100000 2023-04-06 02:22:12,388 epoch 5 - iter 1325/2650 - loss 0.21026307 - time (sec): 50.98 - samples/sec: 14366.00 - lr: 0.100000 2023-04-06 02:22:22,531 epoch 5 - iter 1590/2650 - loss 0.20928679 - time (sec): 61.13 - samples/sec: 14379.20 - lr: 0.100000 2023-04-06 02:22:32,815 epoch 5 - iter 1855/2650 - loss 0.20895905 - time (sec): 71.41 - samples/sec: 14370.60 - lr: 0.100000 2023-04-06 02:22:43,254 epoch 5 - iter 2120/2650 - loss 0.20868555 - time (sec): 81.85 - samples/sec: 14379.98 - lr: 0.100000 2023-04-06 02:22:53,655 epoch 5 - iter 2385/2650 - loss 0.20856411 - time (sec): 92.25 - samples/sec: 14366.42 - lr: 0.100000 2023-04-06 02:23:03,886 epoch 5 - iter 2650/2650 - loss 0.20793197 - time (sec): 102.48 - samples/sec: 14381.45 - lr: 0.100000 2023-04-06 02:23:03,886 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:23:03,886 EPOCH 5 done: loss 0.2079 - lr 0.100000 2023-04-06 02:23:03,886 BAD EPOCHS (no improvement): 0 2023-04-06 02:23:03,890 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:23:14,087 epoch 6 - iter 265/2650 - loss 0.19461827 - time (sec): 10.20 - samples/sec: 14412.12 - lr: 0.100000 2023-04-06 02:23:24,310 epoch 6 - iter 530/2650 - loss 0.19418156 - time (sec): 20.42 - samples/sec: 14425.25 - lr: 0.100000 2023-04-06 02:23:34,653 epoch 6 - iter 795/2650 - loss 0.19470356 - time (sec): 30.76 - samples/sec: 14379.28 - lr: 0.100000 2023-04-06 02:23:44,798 epoch 6 - iter 1060/2650 - loss 0.19579152 - time (sec): 40.91 - samples/sec: 14412.92 - lr: 0.100000 2023-04-06 02:23:55,141 epoch 6 - iter 1325/2650 - loss 0.19588665 - time (sec): 51.25 - samples/sec: 14390.50 - lr: 0.100000 2023-04-06 02:24:05,357 epoch 6 - iter 1590/2650 - loss 0.19452170 - time (sec): 61.47 - samples/sec: 14391.60 - lr: 0.100000 2023-04-06 02:24:15,496 epoch 6 - iter 1855/2650 - loss 0.19425622 - time (sec): 71.61 - samples/sec: 14408.13 - lr: 0.100000 2023-04-06 02:24:25,693 epoch 6 - iter 2120/2650 - loss 0.19426291 - time (sec): 81.80 - samples/sec: 14423.79 - lr: 0.100000 2023-04-06 02:24:35,856 epoch 6 - iter 2385/2650 - loss 0.19396701 - time (sec): 91.97 - samples/sec: 14430.47 - lr: 0.100000 2023-04-06 02:24:45,960 epoch 6 - iter 2650/2650 - loss 0.19352088 - time (sec): 102.07 - samples/sec: 14439.31 - lr: 0.100000 2023-04-06 02:24:45,960 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:24:45,960 EPOCH 6 done: loss 0.1935 - lr 0.100000 2023-04-06 02:24:45,960 BAD EPOCHS (no improvement): 0 2023-04-06 02:24:45,964 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:24:56,103 epoch 7 - iter 265/2650 - loss 0.18469698 - time (sec): 10.14 - samples/sec: 14523.46 - lr: 0.100000 2023-04-06 02:25:06,234 epoch 7 - iter 530/2650 - loss 0.18457000 - time (sec): 20.27 - samples/sec: 14509.78 - lr: 0.100000 2023-04-06 02:25:16,255 epoch 7 - iter 795/2650 - loss 0.18241107 - time (sec): 30.29 - samples/sec: 14540.37 - lr: 0.100000 2023-04-06 02:25:26,488 epoch 7 - iter 1060/2650 - loss 0.18256146 - time (sec): 40.52 - samples/sec: 14512.23 - lr: 0.100000 2023-04-06 02:25:36,589 epoch 7 - iter 1325/2650 - loss 0.18305730 - time (sec): 50.62 - samples/sec: 14534.37 - lr: 0.100000 2023-04-06 02:25:46,764 epoch 7 - iter 1590/2650 - loss 0.18348080 - time (sec): 60.80 - samples/sec: 14524.08 - lr: 0.100000 2023-04-06 02:25:56,937 epoch 7 - iter 1855/2650 - loss 0.18368002 - time (sec): 70.97 - samples/sec: 14517.57 - lr: 0.100000 2023-04-06 02:26:07,200 epoch 7 - iter 2120/2650 - loss 0.18289438 - time (sec): 81.23 - samples/sec: 14509.55 - lr: 0.100000 2023-04-06 02:26:17,344 epoch 7 - iter 2385/2650 - loss 0.18256651 - time (sec): 91.38 - samples/sec: 14514.06 - lr: 0.100000 2023-04-06 02:26:27,559 epoch 7 - iter 2650/2650 - loss 0.18247052 - time (sec): 101.59 - samples/sec: 14506.99 - lr: 0.100000 2023-04-06 02:26:27,559 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:26:27,559 EPOCH 7 done: loss 0.1825 - lr 0.100000 2023-04-06 02:26:27,559 BAD EPOCHS (no improvement): 0 2023-04-06 02:26:27,562 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:26:37,857 epoch 8 - iter 265/2650 - loss 0.17228877 - time (sec): 10.29 - samples/sec: 14544.89 - lr: 0.100000 2023-04-06 02:26:52,220 epoch 8 - iter 530/2650 - loss 0.17326605 - time (sec): 24.66 - samples/sec: 12012.65 - lr: 0.100000 2023-04-06 02:27:02,155 epoch 8 - iter 795/2650 - loss 0.17372002 - time (sec): 34.59 - samples/sec: 12775.40 - lr: 0.100000 2023-04-06 02:27:12,287 epoch 8 - iter 1060/2650 - loss 0.17421309 - time (sec): 44.72 - samples/sec: 13164.04 - lr: 0.100000 2023-04-06 02:27:22,558 epoch 8 - iter 1325/2650 - loss 0.17379893 - time (sec): 55.00 - samples/sec: 13421.01 - lr: 0.100000 2023-04-06 02:27:32,610 epoch 8 - iter 1590/2650 - loss 0.17407961 - time (sec): 65.05 - samples/sec: 13588.41 - lr: 0.100000 2023-04-06 02:27:42,826 epoch 8 - iter 1855/2650 - loss 0.17423869 - time (sec): 75.26 - samples/sec: 13711.79 - lr: 0.100000 2023-04-06 02:27:53,004 epoch 8 - iter 2120/2650 - loss 0.17406275 - time (sec): 85.44 - samples/sec: 13812.40 - lr: 0.100000 2023-04-06 02:28:03,123 epoch 8 - iter 2385/2650 - loss 0.17406324 - time (sec): 95.56 - samples/sec: 13885.30 - lr: 0.100000 2023-04-06 02:28:13,198 epoch 8 - iter 2650/2650 - loss 0.17389449 - time (sec): 105.64 - samples/sec: 13951.99 - lr: 0.100000 2023-04-06 02:28:13,198 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:28:13,198 EPOCH 8 done: loss 0.1739 - lr 0.100000 2023-04-06 02:28:13,198 BAD EPOCHS (no improvement): 0 2023-04-06 02:28:13,202 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:28:23,483 epoch 9 - iter 265/2650 - loss 0.16337308 - time (sec): 10.28 - samples/sec: 14468.12 - lr: 0.100000 2023-04-06 02:28:33,681 epoch 9 - iter 530/2650 - loss 0.16477571 - time (sec): 20.48 - samples/sec: 14499.27 - lr: 0.100000 2023-04-06 02:28:43,976 epoch 9 - iter 795/2650 - loss 0.16723699 - time (sec): 30.77 - samples/sec: 14512.55 - lr: 0.100000 2023-04-06 02:28:54,079 epoch 9 - iter 1060/2650 - loss 0.16753690 - time (sec): 40.88 - samples/sec: 14522.85 - lr: 0.100000 2023-04-06 02:29:04,205 epoch 9 - iter 1325/2650 - loss 0.16751283 - time (sec): 51.00 - samples/sec: 14529.00 - lr: 0.100000 2023-04-06 02:29:14,179 epoch 9 - iter 1590/2650 - loss 0.16768511 - time (sec): 60.98 - samples/sec: 14525.19 - lr: 0.100000 2023-04-06 02:29:24,349 epoch 9 - iter 1855/2650 - loss 0.16772178 - time (sec): 71.15 - samples/sec: 14521.27 - lr: 0.100000 2023-04-06 02:29:34,496 epoch 9 - iter 2120/2650 - loss 0.16735455 - time (sec): 81.29 - samples/sec: 14527.66 - lr: 0.100000 2023-04-06 02:29:44,531 epoch 9 - iter 2385/2650 - loss 0.16762510 - time (sec): 91.33 - samples/sec: 14533.99 - lr: 0.100000 2023-04-06 02:29:54,572 epoch 9 - iter 2650/2650 - loss 0.16752268 - time (sec): 101.37 - samples/sec: 14538.99 - lr: 0.100000 2023-04-06 02:29:54,572 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:29:54,572 EPOCH 9 done: loss 0.1675 - lr 0.100000 2023-04-06 02:29:54,572 BAD EPOCHS (no improvement): 0 2023-04-06 02:29:54,577 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:30:04,765 epoch 10 - iter 265/2650 - loss 0.16107407 - time (sec): 10.19 - samples/sec: 14523.58 - lr: 0.100000 2023-04-06 02:30:14,869 epoch 10 - iter 530/2650 - loss 0.16078611 - time (sec): 20.29 - samples/sec: 14572.63 - lr: 0.100000 2023-04-06 02:30:25,118 epoch 10 - iter 795/2650 - loss 0.16229343 - time (sec): 30.54 - samples/sec: 14521.01 - lr: 0.100000 2023-04-06 02:30:35,264 epoch 10 - iter 1060/2650 - loss 0.16306431 - time (sec): 40.69 - samples/sec: 14529.64 - lr: 0.100000 2023-04-06 02:30:45,495 epoch 10 - iter 1325/2650 - loss 0.16245788 - time (sec): 50.92 - samples/sec: 14522.75 - lr: 0.100000 2023-04-06 02:30:55,523 epoch 10 - iter 1590/2650 - loss 0.16184579 - time (sec): 60.95 - samples/sec: 14533.67 - lr: 0.100000 2023-04-06 02:31:05,541 epoch 10 - iter 1855/2650 - loss 0.16196778 - time (sec): 70.96 - samples/sec: 14532.72 - lr: 0.100000 2023-04-06 02:31:15,818 epoch 10 - iter 2120/2650 - loss 0.16146446 - time (sec): 81.24 - samples/sec: 14530.07 - lr: 0.100000 2023-04-06 02:31:25,956 epoch 10 - iter 2385/2650 - loss 0.16131970 - time (sec): 91.38 - samples/sec: 14519.74 - lr: 0.100000 2023-04-06 02:31:36,027 epoch 10 - iter 2650/2650 - loss 0.16156552 - time (sec): 101.45 - samples/sec: 14527.56 - lr: 0.100000 2023-04-06 02:31:36,027 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:31:36,027 EPOCH 10 done: loss 0.1616 - lr 0.100000 2023-04-06 02:31:36,027 BAD EPOCHS (no improvement): 0 2023-04-06 02:31:36,031 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:31:46,088 epoch 11 - iter 265/2650 - loss 0.15538296 - time (sec): 10.06 - samples/sec: 14590.97 - lr: 0.100000 2023-04-06 02:31:56,151 epoch 11 - iter 530/2650 - loss 0.15707735 - time (sec): 20.12 - samples/sec: 14562.97 - lr: 0.100000 2023-04-06 02:32:06,178 epoch 11 - iter 795/2650 - loss 0.15684719 - time (sec): 30.15 - samples/sec: 14548.70 - lr: 0.100000 2023-04-06 02:32:16,323 epoch 11 - iter 1060/2650 - loss 0.15646655 - time (sec): 40.29 - samples/sec: 14546.90 - lr: 0.100000 2023-04-06 02:32:26,466 epoch 11 - iter 1325/2650 - loss 0.15646630 - time (sec): 50.44 - samples/sec: 14547.13 - lr: 0.100000 2023-04-06 02:32:36,758 epoch 11 - iter 1590/2650 - loss 0.15663690 - time (sec): 60.73 - samples/sec: 14542.23 - lr: 0.100000 2023-04-06 02:32:46,918 epoch 11 - iter 1855/2650 - loss 0.15647583 - time (sec): 70.89 - samples/sec: 14552.70 - lr: 0.100000 2023-04-06 02:32:57,205 epoch 11 - iter 2120/2650 - loss 0.15645287 - time (sec): 81.17 - samples/sec: 14542.76 - lr: 0.100000 2023-04-06 02:33:07,350 epoch 11 - iter 2385/2650 - loss 0.15630136 - time (sec): 91.32 - samples/sec: 14531.07 - lr: 0.100000 2023-04-06 02:33:17,514 epoch 11 - iter 2650/2650 - loss 0.15653181 - time (sec): 101.48 - samples/sec: 14522.90 - lr: 0.100000 2023-04-06 02:33:17,514 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:33:17,514 EPOCH 11 done: loss 0.1565 - lr 0.100000 2023-04-06 02:33:17,514 BAD EPOCHS (no improvement): 0 2023-04-06 02:33:17,519 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:33:27,648 epoch 12 - iter 265/2650 - loss 0.15510266 - time (sec): 10.13 - samples/sec: 14489.18 - lr: 0.100000 2023-04-06 02:33:37,939 epoch 12 - iter 530/2650 - loss 0.15317082 - time (sec): 20.42 - samples/sec: 14477.99 - lr: 0.100000 2023-04-06 02:33:48,188 epoch 12 - iter 795/2650 - loss 0.15341940 - time (sec): 30.67 - samples/sec: 14462.76 - lr: 0.100000 2023-04-06 02:33:58,482 epoch 12 - iter 1060/2650 - loss 0.15184994 - time (sec): 40.96 - samples/sec: 14447.41 - lr: 0.100000 2023-04-06 02:34:08,743 epoch 12 - iter 1325/2650 - loss 0.15171051 - time (sec): 51.22 - samples/sec: 14457.33 - lr: 0.100000 2023-04-06 02:34:18,793 epoch 12 - iter 1590/2650 - loss 0.15076472 - time (sec): 61.27 - samples/sec: 14456.07 - lr: 0.100000 2023-04-06 02:34:28,822 epoch 12 - iter 1855/2650 - loss 0.15095448 - time (sec): 71.30 - samples/sec: 14474.23 - lr: 0.100000 2023-04-06 02:34:38,936 epoch 12 - iter 2120/2650 - loss 0.15155303 - time (sec): 81.42 - samples/sec: 14475.53 - lr: 0.100000 2023-04-06 02:34:49,080 epoch 12 - iter 2385/2650 - loss 0.15182494 - time (sec): 91.56 - samples/sec: 14473.86 - lr: 0.100000 2023-04-06 02:34:59,248 epoch 12 - iter 2650/2650 - loss 0.15171036 - time (sec): 101.73 - samples/sec: 14487.73 - lr: 0.100000 2023-04-06 02:34:59,248 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:34:59,248 EPOCH 12 done: loss 0.1517 - lr 0.100000 2023-04-06 02:34:59,248 BAD EPOCHS (no improvement): 0 2023-04-06 02:34:59,251 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:35:09,421 epoch 13 - iter 265/2650 - loss 0.14721313 - time (sec): 10.17 - samples/sec: 14463.61 - lr: 0.100000 2023-04-06 02:35:19,574 epoch 13 - iter 530/2650 - loss 0.14736593 - time (sec): 20.32 - samples/sec: 14493.43 - lr: 0.100000 2023-04-06 02:35:29,800 epoch 13 - iter 795/2650 - loss 0.14806926 - time (sec): 30.55 - samples/sec: 14455.25 - lr: 0.100000 2023-04-06 02:35:40,052 epoch 13 - iter 1060/2650 - loss 0.14831645 - time (sec): 40.80 - samples/sec: 14457.40 - lr: 0.100000 2023-04-06 02:35:50,300 epoch 13 - iter 1325/2650 - loss 0.14818671 - time (sec): 51.05 - samples/sec: 14461.94 - lr: 0.100000 2023-04-06 02:36:00,590 epoch 13 - iter 1590/2650 - loss 0.14861968 - time (sec): 61.34 - samples/sec: 14458.54 - lr: 0.100000 2023-04-06 02:36:10,659 epoch 13 - iter 1855/2650 - loss 0.14875829 - time (sec): 71.41 - samples/sec: 14448.03 - lr: 0.100000 2023-04-06 02:36:20,799 epoch 13 - iter 2120/2650 - loss 0.14856673 - time (sec): 81.55 - samples/sec: 14454.87 - lr: 0.100000 2023-04-06 02:36:30,910 epoch 13 - iter 2385/2650 - loss 0.14863777 - time (sec): 91.66 - samples/sec: 14463.53 - lr: 0.100000 2023-04-06 02:36:41,079 epoch 13 - iter 2650/2650 - loss 0.14863411 - time (sec): 101.83 - samples/sec: 14473.70 - lr: 0.100000 2023-04-06 02:36:41,079 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:36:41,079 EPOCH 13 done: loss 0.1486 - lr 0.100000 2023-04-06 02:36:41,079 BAD EPOCHS (no improvement): 0 2023-04-06 02:36:41,083 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:36:51,389 epoch 14 - iter 265/2650 - loss 0.14551595 - time (sec): 10.31 - samples/sec: 14383.05 - lr: 0.100000 2023-04-06 02:37:01,572 epoch 14 - iter 530/2650 - loss 0.14454565 - time (sec): 20.49 - samples/sec: 14438.64 - lr: 0.100000 2023-04-06 02:37:11,769 epoch 14 - iter 795/2650 - loss 0.14443090 - time (sec): 30.69 - samples/sec: 14463.49 - lr: 0.100000 2023-04-06 02:37:26,218 epoch 14 - iter 1060/2650 - loss 0.14519431 - time (sec): 45.14 - samples/sec: 13138.92 - lr: 0.100000 2023-04-06 02:37:36,301 epoch 14 - iter 1325/2650 - loss 0.14398398 - time (sec): 55.22 - samples/sec: 13386.59 - lr: 0.100000 2023-04-06 02:37:46,467 epoch 14 - iter 1590/2650 - loss 0.14472356 - time (sec): 65.38 - samples/sec: 13555.74 - lr: 0.100000 2023-04-06 02:37:56,584 epoch 14 - iter 1855/2650 - loss 0.14433323 - time (sec): 75.50 - samples/sec: 13677.36 - lr: 0.100000 2023-04-06 02:38:06,802 epoch 14 - iter 2120/2650 - loss 0.14413282 - time (sec): 85.72 - samples/sec: 13768.25 - lr: 0.100000 2023-04-06 02:38:17,028 epoch 14 - iter 2385/2650 - loss 0.14437411 - time (sec): 95.94 - samples/sec: 13820.13 - lr: 0.100000 2023-04-06 02:38:27,233 epoch 14 - iter 2650/2650 - loss 0.14420075 - time (sec): 106.15 - samples/sec: 13884.24 - lr: 0.100000 2023-04-06 02:38:27,234 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:38:27,234 EPOCH 14 done: loss 0.1442 - lr 0.100000 2023-04-06 02:38:27,234 BAD EPOCHS (no improvement): 0 2023-04-06 02:38:27,237 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:38:37,507 epoch 15 - iter 265/2650 - loss 0.13913664 - time (sec): 10.27 - samples/sec: 14424.93 - lr: 0.100000 2023-04-06 02:38:47,819 epoch 15 - iter 530/2650 - loss 0.13986220 - time (sec): 20.58 - samples/sec: 14370.23 - lr: 0.100000 2023-04-06 02:38:58,075 epoch 15 - iter 795/2650 - loss 0.13959127 - time (sec): 30.84 - samples/sec: 14357.83 - lr: 0.100000 2023-04-06 02:39:08,268 epoch 15 - iter 1060/2650 - loss 0.13928157 - time (sec): 41.03 - samples/sec: 14383.70 - lr: 0.100000 2023-04-06 02:39:18,641 epoch 15 - iter 1325/2650 - loss 0.14029752 - time (sec): 51.40 - samples/sec: 14355.37 - lr: 0.100000 2023-04-06 02:39:28,827 epoch 15 - iter 1590/2650 - loss 0.14065452 - time (sec): 61.59 - samples/sec: 14364.83 - lr: 0.100000 2023-04-06 02:39:38,923 epoch 15 - iter 1855/2650 - loss 0.14094785 - time (sec): 71.69 - samples/sec: 14375.88 - lr: 0.100000 2023-04-06 02:39:49,037 epoch 15 - iter 2120/2650 - loss 0.14118270 - time (sec): 81.80 - samples/sec: 14381.80 - lr: 0.100000 2023-04-06 02:39:59,349 epoch 15 - iter 2385/2650 - loss 0.14098035 - time (sec): 92.11 - samples/sec: 14391.74 - lr: 0.100000 2023-04-06 02:40:09,609 epoch 15 - iter 2650/2650 - loss 0.14118690 - time (sec): 102.37 - samples/sec: 14396.79 - lr: 0.100000 2023-04-06 02:40:09,609 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:40:09,609 EPOCH 15 done: loss 0.1412 - lr 0.100000 2023-04-06 02:40:09,609 BAD EPOCHS (no improvement): 0 2023-04-06 02:40:09,612 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:40:19,767 epoch 16 - iter 265/2650 - loss 0.13238412 - time (sec): 10.15 - samples/sec: 14408.10 - lr: 0.100000 2023-04-06 02:40:30,132 epoch 16 - iter 530/2650 - loss 0.13418358 - time (sec): 20.52 - samples/sec: 14380.87 - lr: 0.100000 2023-04-06 02:40:40,446 epoch 16 - iter 795/2650 - loss 0.13472064 - time (sec): 30.83 - samples/sec: 14383.24 - lr: 0.100000 2023-04-06 02:40:50,743 epoch 16 - iter 1060/2650 - loss 0.13620931 - time (sec): 41.13 - samples/sec: 14390.58 - lr: 0.100000 2023-04-06 02:41:00,811 epoch 16 - iter 1325/2650 - loss 0.13754961 - time (sec): 51.20 - samples/sec: 14420.74 - lr: 0.100000 2023-04-06 02:41:10,945 epoch 16 - iter 1590/2650 - loss 0.13736925 - time (sec): 61.33 - samples/sec: 14434.23 - lr: 0.100000 2023-04-06 02:41:21,023 epoch 16 - iter 1855/2650 - loss 0.13794920 - time (sec): 71.41 - samples/sec: 14451.57 - lr: 0.100000 2023-04-06 02:41:31,211 epoch 16 - iter 2120/2650 - loss 0.13837734 - time (sec): 81.60 - samples/sec: 14459.88 - lr: 0.100000 2023-04-06 02:41:41,195 epoch 16 - iter 2385/2650 - loss 0.13812855 - time (sec): 91.58 - samples/sec: 14479.93 - lr: 0.100000 2023-04-06 02:41:51,469 epoch 16 - iter 2650/2650 - loss 0.13832713 - time (sec): 101.86 - samples/sec: 14469.63 - lr: 0.100000 2023-04-06 02:41:51,469 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:41:51,469 EPOCH 16 done: loss 0.1383 - lr 0.100000 2023-04-06 02:41:51,469 BAD EPOCHS (no improvement): 0 2023-04-06 02:41:51,472 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:42:01,721 epoch 17 - iter 265/2650 - loss 0.13609328 - time (sec): 10.25 - samples/sec: 14460.51 - lr: 0.100000 2023-04-06 02:42:12,123 epoch 17 - iter 530/2650 - loss 0.13514252 - time (sec): 20.65 - samples/sec: 14413.44 - lr: 0.100000 2023-04-06 02:42:22,416 epoch 17 - iter 795/2650 - loss 0.13663071 - time (sec): 30.94 - samples/sec: 14426.13 - lr: 0.100000 2023-04-06 02:42:32,583 epoch 17 - iter 1060/2650 - loss 0.13728130 - time (sec): 41.11 - samples/sec: 14403.04 - lr: 0.100000 2023-04-06 02:42:42,821 epoch 17 - iter 1325/2650 - loss 0.13698261 - time (sec): 51.35 - samples/sec: 14415.53 - lr: 0.100000 2023-04-06 02:42:53,155 epoch 17 - iter 1590/2650 - loss 0.13712257 - time (sec): 61.68 - samples/sec: 14397.42 - lr: 0.100000 2023-04-06 02:43:03,288 epoch 17 - iter 1855/2650 - loss 0.13688137 - time (sec): 71.82 - samples/sec: 14401.92 - lr: 0.100000 2023-04-06 02:43:13,416 epoch 17 - iter 2120/2650 - loss 0.13658140 - time (sec): 81.94 - samples/sec: 14409.55 - lr: 0.100000 2023-04-06 02:43:23,566 epoch 17 - iter 2385/2650 - loss 0.13639942 - time (sec): 92.09 - samples/sec: 14409.02 - lr: 0.100000 2023-04-06 02:43:33,704 epoch 17 - iter 2650/2650 - loss 0.13609748 - time (sec): 102.23 - samples/sec: 14416.42 - lr: 0.100000 2023-04-06 02:43:33,704 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:43:33,705 EPOCH 17 done: loss 0.1361 - lr 0.100000 2023-04-06 02:43:33,705 BAD EPOCHS (no improvement): 0 2023-04-06 02:43:33,708 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:43:43,815 epoch 18 - iter 265/2650 - loss 0.13046248 - time (sec): 10.11 - samples/sec: 14371.78 - lr: 0.100000 2023-04-06 02:43:53,946 epoch 18 - iter 530/2650 - loss 0.13248339 - time (sec): 20.24 - samples/sec: 14461.97 - lr: 0.100000 2023-04-06 02:44:04,197 epoch 18 - iter 795/2650 - loss 0.13249772 - time (sec): 30.49 - samples/sec: 14431.29 - lr: 0.100000 2023-04-06 02:44:14,423 epoch 18 - iter 1060/2650 - loss 0.13273165 - time (sec): 40.71 - samples/sec: 14431.84 - lr: 0.100000 2023-04-06 02:44:24,758 epoch 18 - iter 1325/2650 - loss 0.13280738 - time (sec): 51.05 - samples/sec: 14426.03 - lr: 0.100000 2023-04-06 02:44:34,806 epoch 18 - iter 1590/2650 - loss 0.13311784 - time (sec): 61.10 - samples/sec: 14449.30 - lr: 0.100000 2023-04-06 02:44:45,121 epoch 18 - iter 1855/2650 - loss 0.13309927 - time (sec): 71.41 - samples/sec: 14447.47 - lr: 0.100000 2023-04-06 02:44:55,279 epoch 18 - iter 2120/2650 - loss 0.13298202 - time (sec): 81.57 - samples/sec: 14456.49 - lr: 0.100000 2023-04-06 02:45:05,348 epoch 18 - iter 2385/2650 - loss 0.13301418 - time (sec): 91.64 - samples/sec: 14457.06 - lr: 0.100000 2023-04-06 02:45:15,618 epoch 18 - iter 2650/2650 - loss 0.13316536 - time (sec): 101.91 - samples/sec: 14462.05 - lr: 0.100000 2023-04-06 02:45:15,618 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:45:15,618 EPOCH 18 done: loss 0.1332 - lr 0.100000 2023-04-06 02:45:15,618 BAD EPOCHS (no improvement): 0 2023-04-06 02:45:15,621 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:45:25,711 epoch 19 - iter 265/2650 - loss 0.13101039 - time (sec): 10.09 - samples/sec: 14503.23 - lr: 0.100000 2023-04-06 02:45:35,752 epoch 19 - iter 530/2650 - loss 0.13240749 - time (sec): 20.13 - samples/sec: 14533.91 - lr: 0.100000 2023-04-06 02:45:45,994 epoch 19 - iter 795/2650 - loss 0.13207783 - time (sec): 30.37 - samples/sec: 14502.91 - lr: 0.100000 2023-04-06 02:45:56,124 epoch 19 - iter 1060/2650 - loss 0.13178938 - time (sec): 40.50 - samples/sec: 14495.08 - lr: 0.100000 2023-04-06 02:46:06,378 epoch 19 - iter 1325/2650 - loss 0.13134672 - time (sec): 50.76 - samples/sec: 14501.20 - lr: 0.100000 2023-04-06 02:46:16,477 epoch 19 - iter 1590/2650 - loss 0.13139676 - time (sec): 60.85 - samples/sec: 14511.90 - lr: 0.100000 2023-04-06 02:46:26,676 epoch 19 - iter 1855/2650 - loss 0.13116518 - time (sec): 71.05 - samples/sec: 14504.36 - lr: 0.100000 2023-04-06 02:46:36,907 epoch 19 - iter 2120/2650 - loss 0.13121583 - time (sec): 81.29 - samples/sec: 14501.01 - lr: 0.100000 2023-04-06 02:46:46,979 epoch 19 - iter 2385/2650 - loss 0.13147841 - time (sec): 91.36 - samples/sec: 14498.21 - lr: 0.100000 2023-04-06 02:46:57,312 epoch 19 - iter 2650/2650 - loss 0.13156927 - time (sec): 101.69 - samples/sec: 14493.26 - lr: 0.100000 2023-04-06 02:46:57,312 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:46:57,312 EPOCH 19 done: loss 0.1316 - lr 0.100000 2023-04-06 02:46:57,312 BAD EPOCHS (no improvement): 0 2023-04-06 02:46:57,315 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:47:07,313 epoch 20 - iter 265/2650 - loss 0.12710469 - time (sec): 10.00 - samples/sec: 14560.61 - lr: 0.100000 2023-04-06 02:47:17,527 epoch 20 - iter 530/2650 - loss 0.12697753 - time (sec): 20.21 - samples/sec: 14531.78 - lr: 0.100000 2023-04-06 02:47:27,699 epoch 20 - iter 795/2650 - loss 0.12753680 - time (sec): 30.38 - samples/sec: 14514.55 - lr: 0.100000 2023-04-06 02:47:37,939 epoch 20 - iter 1060/2650 - loss 0.12884679 - time (sec): 40.62 - samples/sec: 14508.22 - lr: 0.100000 2023-04-06 02:47:52,256 epoch 20 - iter 1325/2650 - loss 0.12911247 - time (sec): 54.94 - samples/sec: 13405.79 - lr: 0.100000 2023-04-06 02:48:02,311 epoch 20 - iter 1590/2650 - loss 0.12906778 - time (sec): 65.00 - samples/sec: 13590.75 - lr: 0.100000 2023-04-06 02:48:12,405 epoch 20 - iter 1855/2650 - loss 0.12886972 - time (sec): 75.09 - samples/sec: 13718.05 - lr: 0.100000 2023-04-06 02:48:22,554 epoch 20 - iter 2120/2650 - loss 0.12913793 - time (sec): 85.24 - samples/sec: 13818.13 - lr: 0.100000 2023-04-06 02:48:32,725 epoch 20 - iter 2385/2650 - loss 0.12926786 - time (sec): 95.41 - samples/sec: 13892.58 - lr: 0.100000 2023-04-06 02:48:43,109 epoch 20 - iter 2650/2650 - loss 0.12933287 - time (sec): 105.79 - samples/sec: 13931.19 - lr: 0.100000 2023-04-06 02:48:43,109 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:48:43,109 EPOCH 20 done: loss 0.1293 - lr 0.100000 2023-04-06 02:48:43,109 BAD EPOCHS (no improvement): 0 2023-04-06 02:48:43,139 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:48:53,339 epoch 21 - iter 265/2650 - loss 0.12953339 - time (sec): 10.20 - samples/sec: 14506.35 - lr: 0.100000 2023-04-06 02:49:03,513 epoch 21 - iter 530/2650 - loss 0.12813783 - time (sec): 20.37 - samples/sec: 14455.74 - lr: 0.100000 2023-04-06 02:49:13,828 epoch 21 - iter 795/2650 - loss 0.12699977 - time (sec): 30.69 - samples/sec: 14422.59 - lr: 0.100000 2023-04-06 02:49:24,061 epoch 21 - iter 1060/2650 - loss 0.12672504 - time (sec): 40.92 - samples/sec: 14416.27 - lr: 0.100000 2023-04-06 02:49:34,382 epoch 21 - iter 1325/2650 - loss 0.12636576 - time (sec): 51.24 - samples/sec: 14409.70 - lr: 0.100000 2023-04-06 02:49:44,726 epoch 21 - iter 1590/2650 - loss 0.12624573 - time (sec): 61.59 - samples/sec: 14407.44 - lr: 0.100000 2023-04-06 02:49:54,781 epoch 21 - iter 1855/2650 - loss 0.12631772 - time (sec): 71.64 - samples/sec: 14416.95 - lr: 0.100000 2023-04-06 02:50:04,980 epoch 21 - iter 2120/2650 - loss 0.12658817 - time (sec): 81.84 - samples/sec: 14413.59 - lr: 0.100000 2023-04-06 02:50:15,050 epoch 21 - iter 2385/2650 - loss 0.12671606 - time (sec): 91.91 - samples/sec: 14424.68 - lr: 0.100000 2023-04-06 02:50:25,350 epoch 21 - iter 2650/2650 - loss 0.12698228 - time (sec): 102.21 - samples/sec: 14419.53 - lr: 0.100000 2023-04-06 02:50:25,350 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:50:25,350 EPOCH 21 done: loss 0.1270 - lr 0.100000 2023-04-06 02:50:25,350 BAD EPOCHS (no improvement): 0 2023-04-06 02:50:25,354 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:50:35,409 epoch 22 - iter 265/2650 - loss 0.12354271 - time (sec): 10.06 - samples/sec: 14615.34 - lr: 0.100000 2023-04-06 02:50:45,533 epoch 22 - iter 530/2650 - loss 0.12395439 - time (sec): 20.18 - samples/sec: 14603.61 - lr: 0.100000 2023-04-06 02:50:55,571 epoch 22 - iter 795/2650 - loss 0.12495642 - time (sec): 30.22 - samples/sec: 14586.44 - lr: 0.100000 2023-04-06 02:51:05,640 epoch 22 - iter 1060/2650 - loss 0.12431742 - time (sec): 40.29 - samples/sec: 14574.07 - lr: 0.100000 2023-04-06 02:51:15,881 epoch 22 - iter 1325/2650 - loss 0.12459478 - time (sec): 50.53 - samples/sec: 14568.92 - lr: 0.100000 2023-04-06 02:51:25,954 epoch 22 - iter 1590/2650 - loss 0.12447852 - time (sec): 60.60 - samples/sec: 14572.84 - lr: 0.100000 2023-04-06 02:51:36,230 epoch 22 - iter 1855/2650 - loss 0.12495196 - time (sec): 70.88 - samples/sec: 14550.34 - lr: 0.100000 2023-04-06 02:51:46,432 epoch 22 - iter 2120/2650 - loss 0.12507927 - time (sec): 81.08 - samples/sec: 14530.31 - lr: 0.100000 2023-04-06 02:51:56,798 epoch 22 - iter 2385/2650 - loss 0.12503849 - time (sec): 91.44 - samples/sec: 14507.62 - lr: 0.100000 2023-04-06 02:52:06,989 epoch 22 - iter 2650/2650 - loss 0.12514561 - time (sec): 101.64 - samples/sec: 14501.03 - lr: 0.100000 2023-04-06 02:52:06,990 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:52:06,990 EPOCH 22 done: loss 0.1251 - lr 0.100000 2023-04-06 02:52:06,990 BAD EPOCHS (no improvement): 0 2023-04-06 02:52:06,993 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:52:17,428 epoch 23 - iter 265/2650 - loss 0.12141115 - time (sec): 10.43 - samples/sec: 14298.23 - lr: 0.100000 2023-04-06 02:52:27,632 epoch 23 - iter 530/2650 - loss 0.12296161 - time (sec): 20.64 - samples/sec: 14313.54 - lr: 0.100000 2023-04-06 02:52:37,942 epoch 23 - iter 795/2650 - loss 0.12300908 - time (sec): 30.95 - samples/sec: 14320.46 - lr: 0.100000 2023-04-06 02:52:48,122 epoch 23 - iter 1060/2650 - loss 0.12297994 - time (sec): 41.13 - samples/sec: 14331.50 - lr: 0.100000 2023-04-06 02:52:58,356 epoch 23 - iter 1325/2650 - loss 0.12307097 - time (sec): 51.36 - samples/sec: 14339.86 - lr: 0.100000 2023-04-06 02:53:08,736 epoch 23 - iter 1590/2650 - loss 0.12380573 - time (sec): 61.74 - samples/sec: 14331.73 - lr: 0.100000 2023-04-06 02:53:18,929 epoch 23 - iter 1855/2650 - loss 0.12397285 - time (sec): 71.94 - samples/sec: 14346.32 - lr: 0.100000 2023-04-06 02:53:29,071 epoch 23 - iter 2120/2650 - loss 0.12419077 - time (sec): 82.08 - samples/sec: 14356.83 - lr: 0.100000 2023-04-06 02:53:39,411 epoch 23 - iter 2385/2650 - loss 0.12393081 - time (sec): 92.42 - samples/sec: 14350.53 - lr: 0.100000 2023-04-06 02:53:49,671 epoch 23 - iter 2650/2650 - loss 0.12401765 - time (sec): 102.68 - samples/sec: 14353.80 - lr: 0.100000 2023-04-06 02:53:49,672 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:53:49,672 EPOCH 23 done: loss 0.1240 - lr 0.100000 2023-04-06 02:53:49,672 BAD EPOCHS (no improvement): 0 2023-04-06 02:53:49,675 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:53:59,997 epoch 24 - iter 265/2650 - loss 0.12122589 - time (sec): 10.32 - samples/sec: 14211.48 - lr: 0.100000 2023-04-06 02:54:10,288 epoch 24 - iter 530/2650 - loss 0.12196191 - time (sec): 20.61 - samples/sec: 14296.17 - lr: 0.100000 2023-04-06 02:54:20,614 epoch 24 - iter 795/2650 - loss 0.12051320 - time (sec): 30.94 - samples/sec: 14299.63 - lr: 0.100000 2023-04-06 02:54:30,843 epoch 24 - iter 1060/2650 - loss 0.12105663 - time (sec): 41.17 - samples/sec: 14319.86 - lr: 0.100000 2023-04-06 02:54:41,249 epoch 24 - iter 1325/2650 - loss 0.12128221 - time (sec): 51.57 - samples/sec: 14297.37 - lr: 0.100000 2023-04-06 02:54:51,673 epoch 24 - iter 1590/2650 - loss 0.12202385 - time (sec): 62.00 - samples/sec: 14314.84 - lr: 0.100000 2023-04-06 02:55:01,721 epoch 24 - iter 1855/2650 - loss 0.12224218 - time (sec): 72.05 - samples/sec: 14332.43 - lr: 0.100000 2023-04-06 02:55:11,983 epoch 24 - iter 2120/2650 - loss 0.12207776 - time (sec): 82.31 - samples/sec: 14334.35 - lr: 0.100000 2023-04-06 02:55:22,202 epoch 24 - iter 2385/2650 - loss 0.12211445 - time (sec): 92.53 - samples/sec: 14342.42 - lr: 0.100000 2023-04-06 02:55:32,446 epoch 24 - iter 2650/2650 - loss 0.12216263 - time (sec): 102.77 - samples/sec: 14340.95 - lr: 0.100000 2023-04-06 02:55:32,446 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:55:32,446 EPOCH 24 done: loss 0.1222 - lr 0.100000 2023-04-06 02:55:32,446 BAD EPOCHS (no improvement): 0 2023-04-06 02:55:32,450 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:55:42,645 epoch 25 - iter 265/2650 - loss 0.12006350 - time (sec): 10.19 - samples/sec: 14385.13 - lr: 0.100000 2023-04-06 02:55:52,997 epoch 25 - iter 530/2650 - loss 0.11982806 - time (sec): 20.55 - samples/sec: 14355.90 - lr: 0.100000 2023-04-06 02:56:03,164 epoch 25 - iter 795/2650 - loss 0.11949375 - time (sec): 30.71 - samples/sec: 14349.19 - lr: 0.100000 2023-04-06 02:56:13,463 epoch 25 - iter 1060/2650 - loss 0.11977136 - time (sec): 41.01 - samples/sec: 14329.28 - lr: 0.100000 2023-04-06 02:56:23,776 epoch 25 - iter 1325/2650 - loss 0.11963397 - time (sec): 51.33 - samples/sec: 14340.75 - lr: 0.100000 2023-04-06 02:56:34,156 epoch 25 - iter 1590/2650 - loss 0.11988480 - time (sec): 61.71 - samples/sec: 14328.78 - lr: 0.100000 2023-04-06 02:56:44,449 epoch 25 - iter 1855/2650 - loss 0.12002669 - time (sec): 72.00 - samples/sec: 14318.33 - lr: 0.100000 2023-04-06 02:56:54,698 epoch 25 - iter 2120/2650 - loss 0.11979513 - time (sec): 82.25 - samples/sec: 14316.28 - lr: 0.100000 2023-04-06 02:57:04,874 epoch 25 - iter 2385/2650 - loss 0.11964939 - time (sec): 92.42 - samples/sec: 14340.61 - lr: 0.100000 2023-04-06 02:57:15,126 epoch 25 - iter 2650/2650 - loss 0.11987647 - time (sec): 102.68 - samples/sec: 14354.10 - lr: 0.100000 2023-04-06 02:57:15,127 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:57:15,127 EPOCH 25 done: loss 0.1199 - lr 0.100000 2023-04-06 02:57:15,127 BAD EPOCHS (no improvement): 0 2023-04-06 02:57:15,134 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:57:25,228 epoch 26 - iter 265/2650 - loss 0.11527945 - time (sec): 10.09 - samples/sec: 14579.36 - lr: 0.100000 2023-04-06 02:57:35,436 epoch 26 - iter 530/2650 - loss 0.11835439 - time (sec): 20.30 - samples/sec: 14442.72 - lr: 0.100000 2023-04-06 02:57:45,667 epoch 26 - iter 795/2650 - loss 0.11855658 - time (sec): 30.53 - samples/sec: 14510.38 - lr: 0.100000 2023-04-06 02:57:55,784 epoch 26 - iter 1060/2650 - loss 0.11800707 - time (sec): 40.65 - samples/sec: 14526.28 - lr: 0.100000 2023-04-06 02:58:05,940 epoch 26 - iter 1325/2650 - loss 0.11857779 - time (sec): 50.81 - samples/sec: 14529.75 - lr: 0.100000 2023-04-06 02:58:16,042 epoch 26 - iter 1590/2650 - loss 0.11874183 - time (sec): 60.91 - samples/sec: 14529.19 - lr: 0.100000 2023-04-06 02:58:26,387 epoch 26 - iter 1855/2650 - loss 0.11930774 - time (sec): 71.25 - samples/sec: 14501.47 - lr: 0.100000 2023-04-06 02:58:40,598 epoch 26 - iter 2120/2650 - loss 0.11914346 - time (sec): 85.46 - samples/sec: 13773.60 - lr: 0.100000 2023-04-06 02:58:50,876 epoch 26 - iter 2385/2650 - loss 0.11914649 - time (sec): 95.74 - samples/sec: 13858.07 - lr: 0.100000 2023-04-06 02:59:01,155 epoch 26 - iter 2650/2650 - loss 0.11906060 - time (sec): 106.02 - samples/sec: 13901.28 - lr: 0.100000 2023-04-06 02:59:01,155 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:59:01,155 EPOCH 26 done: loss 0.1191 - lr 0.100000 2023-04-06 02:59:01,155 BAD EPOCHS (no improvement): 0 2023-04-06 02:59:01,159 ---------------------------------------------------------------------------------------------------- 2023-04-06 02:59:11,423 epoch 27 - iter 265/2650 - loss 0.11571738 - time (sec): 10.26 - samples/sec: 14430.11 - lr: 0.100000 2023-04-06 02:59:21,519 epoch 27 - iter 530/2650 - loss 0.11542162 - time (sec): 20.36 - samples/sec: 14444.84 - lr: 0.100000 2023-04-06 02:59:31,745 epoch 27 - iter 795/2650 - loss 0.11625655 - time (sec): 30.59 - samples/sec: 14464.23 - lr: 0.100000 2023-04-06 02:59:41,954 epoch 27 - iter 1060/2650 - loss 0.11598799 - time (sec): 40.79 - samples/sec: 14426.44 - lr: 0.100000 2023-04-06 02:59:52,207 epoch 27 - iter 1325/2650 - loss 0.11641977 - time (sec): 51.05 - samples/sec: 14417.97 - lr: 0.100000 2023-04-06 03:00:02,378 epoch 27 - iter 1590/2650 - loss 0.11677255 - time (sec): 61.22 - samples/sec: 14430.81 - lr: 0.100000 2023-04-06 03:00:12,619 epoch 27 - iter 1855/2650 - loss 0.11709781 - time (sec): 71.46 - samples/sec: 14440.49 - lr: 0.100000 2023-04-06 03:00:22,887 epoch 27 - iter 2120/2650 - loss 0.11732213 - time (sec): 81.73 - samples/sec: 14453.62 - lr: 0.100000 2023-04-06 03:00:32,946 epoch 27 - iter 2385/2650 - loss 0.11746030 - time (sec): 91.79 - samples/sec: 14449.93 - lr: 0.100000 2023-04-06 03:00:43,228 epoch 27 - iter 2650/2650 - loss 0.11761431 - time (sec): 102.07 - samples/sec: 14439.42 - lr: 0.100000 2023-04-06 03:00:43,228 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:00:43,228 EPOCH 27 done: loss 0.1176 - lr 0.100000 2023-04-06 03:00:43,229 BAD EPOCHS (no improvement): 0 2023-04-06 03:00:43,232 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:00:53,384 epoch 28 - iter 265/2650 - loss 0.11728533 - time (sec): 10.15 - samples/sec: 14460.30 - lr: 0.100000 2023-04-06 03:01:03,564 epoch 28 - iter 530/2650 - loss 0.11636204 - time (sec): 20.33 - samples/sec: 14507.23 - lr: 0.100000 2023-04-06 03:01:13,867 epoch 28 - iter 795/2650 - loss 0.11644613 - time (sec): 30.63 - samples/sec: 14451.61 - lr: 0.100000 2023-04-06 03:01:24,055 epoch 28 - iter 1060/2650 - loss 0.11556522 - time (sec): 40.82 - samples/sec: 14493.62 - lr: 0.100000 2023-04-06 03:01:34,136 epoch 28 - iter 1325/2650 - loss 0.11511233 - time (sec): 50.90 - samples/sec: 14495.69 - lr: 0.100000 2023-04-06 03:01:44,274 epoch 28 - iter 1590/2650 - loss 0.11496479 - time (sec): 61.04 - samples/sec: 14499.46 - lr: 0.100000 2023-04-06 03:01:54,423 epoch 28 - iter 1855/2650 - loss 0.11482776 - time (sec): 71.19 - samples/sec: 14490.97 - lr: 0.100000 2023-04-06 03:02:04,531 epoch 28 - iter 2120/2650 - loss 0.11470406 - time (sec): 81.30 - samples/sec: 14501.99 - lr: 0.100000 2023-04-06 03:02:14,735 epoch 28 - iter 2385/2650 - loss 0.11486332 - time (sec): 91.50 - samples/sec: 14503.97 - lr: 0.100000 2023-04-06 03:02:24,830 epoch 28 - iter 2650/2650 - loss 0.11540754 - time (sec): 101.60 - samples/sec: 14506.40 - lr: 0.100000 2023-04-06 03:02:24,831 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:02:24,831 EPOCH 28 done: loss 0.1154 - lr 0.100000 2023-04-06 03:02:24,831 BAD EPOCHS (no improvement): 0 2023-04-06 03:02:24,835 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:02:34,974 epoch 29 - iter 265/2650 - loss 0.11094091 - time (sec): 10.14 - samples/sec: 14480.08 - lr: 0.100000 2023-04-06 03:02:45,058 epoch 29 - iter 530/2650 - loss 0.11198180 - time (sec): 20.22 - samples/sec: 14497.90 - lr: 0.100000 2023-04-06 03:02:55,125 epoch 29 - iter 795/2650 - loss 0.11323540 - time (sec): 30.29 - samples/sec: 14503.88 - lr: 0.100000 2023-04-06 03:03:05,414 epoch 29 - iter 1060/2650 - loss 0.11363722 - time (sec): 40.58 - samples/sec: 14497.84 - lr: 0.100000 2023-04-06 03:03:15,523 epoch 29 - iter 1325/2650 - loss 0.11393199 - time (sec): 50.69 - samples/sec: 14502.63 - lr: 0.100000 2023-04-06 03:03:25,640 epoch 29 - iter 1590/2650 - loss 0.11406230 - time (sec): 60.80 - samples/sec: 14500.47 - lr: 0.100000 2023-04-06 03:03:35,898 epoch 29 - iter 1855/2650 - loss 0.11415852 - time (sec): 71.06 - samples/sec: 14498.74 - lr: 0.100000 2023-04-06 03:03:46,168 epoch 29 - iter 2120/2650 - loss 0.11458403 - time (sec): 81.33 - samples/sec: 14487.61 - lr: 0.100000 2023-04-06 03:03:56,381 epoch 29 - iter 2385/2650 - loss 0.11499700 - time (sec): 91.55 - samples/sec: 14491.85 - lr: 0.100000 2023-04-06 03:04:06,557 epoch 29 - iter 2650/2650 - loss 0.11547526 - time (sec): 101.72 - samples/sec: 14488.76 - lr: 0.100000 2023-04-06 03:04:06,557 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:04:06,557 EPOCH 29 done: loss 0.1155 - lr 0.100000 2023-04-06 03:04:06,557 BAD EPOCHS (no improvement): 1 2023-04-06 03:04:06,562 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:04:16,617 epoch 30 - iter 265/2650 - loss 0.11136787 - time (sec): 10.06 - samples/sec: 14527.09 - lr: 0.100000 2023-04-06 03:04:26,847 epoch 30 - iter 530/2650 - loss 0.11257179 - time (sec): 20.29 - samples/sec: 14462.29 - lr: 0.100000 2023-04-06 03:04:36,966 epoch 30 - iter 795/2650 - loss 0.11328101 - time (sec): 30.40 - samples/sec: 14491.48 - lr: 0.100000 2023-04-06 03:04:46,998 epoch 30 - iter 1060/2650 - loss 0.11386128 - time (sec): 40.44 - samples/sec: 14480.12 - lr: 0.100000 2023-04-06 03:04:57,279 epoch 30 - iter 1325/2650 - loss 0.11363796 - time (sec): 50.72 - samples/sec: 14499.04 - lr: 0.100000 2023-04-06 03:05:07,470 epoch 30 - iter 1590/2650 - loss 0.11377181 - time (sec): 60.91 - samples/sec: 14489.64 - lr: 0.100000 2023-04-06 03:05:17,580 epoch 30 - iter 1855/2650 - loss 0.11410581 - time (sec): 71.02 - samples/sec: 14490.20 - lr: 0.100000 2023-04-06 03:05:27,855 epoch 30 - iter 2120/2650 - loss 0.11439768 - time (sec): 81.29 - samples/sec: 14487.39 - lr: 0.100000 2023-04-06 03:05:38,083 epoch 30 - iter 2385/2650 - loss 0.11436200 - time (sec): 91.52 - samples/sec: 14487.34 - lr: 0.100000 2023-04-06 03:05:48,359 epoch 30 - iter 2650/2650 - loss 0.11458164 - time (sec): 101.80 - samples/sec: 14478.00 - lr: 0.100000 2023-04-06 03:05:48,360 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:05:48,360 EPOCH 30 done: loss 0.1146 - lr 0.100000 2023-04-06 03:05:48,360 BAD EPOCHS (no improvement): 0 2023-04-06 03:05:48,364 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:05:58,376 epoch 31 - iter 265/2650 - loss 0.11248197 - time (sec): 10.01 - samples/sec: 14649.37 - lr: 0.100000 2023-04-06 03:06:08,543 epoch 31 - iter 530/2650 - loss 0.11220198 - time (sec): 20.18 - samples/sec: 14607.13 - lr: 0.100000 2023-04-06 03:06:18,748 epoch 31 - iter 795/2650 - loss 0.11282419 - time (sec): 30.38 - samples/sec: 14579.98 - lr: 0.100000 2023-04-06 03:06:29,125 epoch 31 - iter 1060/2650 - loss 0.11274826 - time (sec): 40.76 - samples/sec: 14541.94 - lr: 0.100000 2023-04-06 03:06:39,378 epoch 31 - iter 1325/2650 - loss 0.11249278 - time (sec): 51.01 - samples/sec: 14545.94 - lr: 0.100000 2023-04-06 03:06:49,432 epoch 31 - iter 1590/2650 - loss 0.11280664 - time (sec): 61.07 - samples/sec: 14545.54 - lr: 0.100000 2023-04-06 03:06:59,455 epoch 31 - iter 1855/2650 - loss 0.11275980 - time (sec): 71.09 - samples/sec: 14530.24 - lr: 0.100000 2023-04-06 03:07:09,703 epoch 31 - iter 2120/2650 - loss 0.11299282 - time (sec): 81.34 - samples/sec: 14516.02 - lr: 0.100000 2023-04-06 03:07:19,800 epoch 31 - iter 2385/2650 - loss 0.11324056 - time (sec): 91.44 - samples/sec: 14506.11 - lr: 0.100000 2023-04-06 03:07:29,972 epoch 31 - iter 2650/2650 - loss 0.11344515 - time (sec): 101.61 - samples/sec: 14505.11 - lr: 0.100000 2023-04-06 03:07:29,972 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:07:29,972 EPOCH 31 done: loss 0.1134 - lr 0.100000 2023-04-06 03:07:29,972 BAD EPOCHS (no improvement): 0 2023-04-06 03:07:29,979 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:07:40,188 epoch 32 - iter 265/2650 - loss 0.11168567 - time (sec): 10.21 - samples/sec: 14386.89 - lr: 0.100000 2023-04-06 03:07:50,285 epoch 32 - iter 530/2650 - loss 0.11092435 - time (sec): 20.31 - samples/sec: 14495.02 - lr: 0.100000 2023-04-06 03:08:00,457 epoch 32 - iter 795/2650 - loss 0.11149130 - time (sec): 30.48 - samples/sec: 14497.76 - lr: 0.100000 2023-04-06 03:08:10,524 epoch 32 - iter 1060/2650 - loss 0.11090007 - time (sec): 40.55 - samples/sec: 14514.13 - lr: 0.100000 2023-04-06 03:08:20,754 epoch 32 - iter 1325/2650 - loss 0.11069172 - time (sec): 50.78 - samples/sec: 14501.48 - lr: 0.100000 2023-04-06 03:08:30,970 epoch 32 - iter 1590/2650 - loss 0.11097007 - time (sec): 60.99 - samples/sec: 14479.04 - lr: 0.100000 2023-04-06 03:08:41,106 epoch 32 - iter 1855/2650 - loss 0.11121026 - time (sec): 71.13 - samples/sec: 14468.30 - lr: 0.100000 2023-04-06 03:08:51,200 epoch 32 - iter 2120/2650 - loss 0.11135049 - time (sec): 81.22 - samples/sec: 14479.23 - lr: 0.100000 2023-04-06 03:09:05,842 epoch 32 - iter 2385/2650 - loss 0.11112958 - time (sec): 95.86 - samples/sec: 13822.47 - lr: 0.100000 2023-04-06 03:09:15,932 epoch 32 - iter 2650/2650 - loss 0.11164622 - time (sec): 105.95 - samples/sec: 13910.15 - lr: 0.100000 2023-04-06 03:09:15,932 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:09:15,932 EPOCH 32 done: loss 0.1116 - lr 0.100000 2023-04-06 03:09:15,932 BAD EPOCHS (no improvement): 0 2023-04-06 03:09:15,936 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:09:26,017 epoch 33 - iter 265/2650 - loss 0.10994651 - time (sec): 10.08 - samples/sec: 14528.73 - lr: 0.100000 2023-04-06 03:09:36,248 epoch 33 - iter 530/2650 - loss 0.10955454 - time (sec): 20.31 - samples/sec: 14499.08 - lr: 0.100000 2023-04-06 03:09:46,529 epoch 33 - iter 795/2650 - loss 0.11039709 - time (sec): 30.59 - samples/sec: 14482.52 - lr: 0.100000 2023-04-06 03:09:56,901 epoch 33 - iter 1060/2650 - loss 0.11036861 - time (sec): 40.97 - samples/sec: 14467.27 - lr: 0.100000 2023-04-06 03:10:07,219 epoch 33 - iter 1325/2650 - loss 0.11046170 - time (sec): 51.28 - samples/sec: 14443.29 - lr: 0.100000 2023-04-06 03:10:17,441 epoch 33 - iter 1590/2650 - loss 0.11053548 - time (sec): 61.50 - samples/sec: 14436.83 - lr: 0.100000 2023-04-06 03:10:27,671 epoch 33 - iter 1855/2650 - loss 0.11080650 - time (sec): 71.73 - samples/sec: 14431.22 - lr: 0.100000 2023-04-06 03:10:37,687 epoch 33 - iter 2120/2650 - loss 0.11111538 - time (sec): 81.75 - samples/sec: 14435.66 - lr: 0.100000 2023-04-06 03:10:47,949 epoch 33 - iter 2385/2650 - loss 0.11122260 - time (sec): 92.01 - samples/sec: 14433.32 - lr: 0.100000 2023-04-06 03:10:58,084 epoch 33 - iter 2650/2650 - loss 0.11108717 - time (sec): 102.15 - samples/sec: 14428.25 - lr: 0.100000 2023-04-06 03:10:58,085 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:10:58,085 EPOCH 33 done: loss 0.1111 - lr 0.100000 2023-04-06 03:10:58,085 BAD EPOCHS (no improvement): 0 2023-04-06 03:10:58,088 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:11:08,240 epoch 34 - iter 265/2650 - loss 0.10804496 - time (sec): 10.15 - samples/sec: 14416.33 - lr: 0.100000 2023-04-06 03:11:18,408 epoch 34 - iter 530/2650 - loss 0.11029659 - time (sec): 20.32 - samples/sec: 14366.49 - lr: 0.100000 2023-04-06 03:11:28,642 epoch 34 - iter 795/2650 - loss 0.11101355 - time (sec): 30.55 - samples/sec: 14390.57 - lr: 0.100000 2023-04-06 03:11:38,922 epoch 34 - iter 1060/2650 - loss 0.11101306 - time (sec): 40.83 - samples/sec: 14404.16 - lr: 0.100000 2023-04-06 03:11:49,083 epoch 34 - iter 1325/2650 - loss 0.11102473 - time (sec): 50.99 - samples/sec: 14443.68 - lr: 0.100000 2023-04-06 03:11:59,330 epoch 34 - iter 1590/2650 - loss 0.11100294 - time (sec): 61.24 - samples/sec: 14454.09 - lr: 0.100000 2023-04-06 03:12:09,575 epoch 34 - iter 1855/2650 - loss 0.11033303 - time (sec): 71.49 - samples/sec: 14448.29 - lr: 0.100000 2023-04-06 03:12:19,633 epoch 34 - iter 2120/2650 - loss 0.11018846 - time (sec): 81.54 - samples/sec: 14460.02 - lr: 0.100000 2023-04-06 03:12:29,800 epoch 34 - iter 2385/2650 - loss 0.11043041 - time (sec): 91.71 - samples/sec: 14467.84 - lr: 0.100000 2023-04-06 03:12:40,008 epoch 34 - iter 2650/2650 - loss 0.11051184 - time (sec): 101.92 - samples/sec: 14460.57 - lr: 0.100000 2023-04-06 03:12:40,009 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:12:40,009 EPOCH 34 done: loss 0.1105 - lr 0.100000 2023-04-06 03:12:40,009 BAD EPOCHS (no improvement): 0 2023-04-06 03:12:40,013 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:12:50,278 epoch 35 - iter 265/2650 - loss 0.10831856 - time (sec): 10.27 - samples/sec: 14471.00 - lr: 0.100000 2023-04-06 03:13:00,394 epoch 35 - iter 530/2650 - loss 0.10793836 - time (sec): 20.38 - samples/sec: 14480.07 - lr: 0.100000 2023-04-06 03:13:10,485 epoch 35 - iter 795/2650 - loss 0.10765931 - time (sec): 30.47 - samples/sec: 14520.41 - lr: 0.100000 2023-04-06 03:13:20,546 epoch 35 - iter 1060/2650 - loss 0.10800576 - time (sec): 40.53 - samples/sec: 14503.46 - lr: 0.100000 2023-04-06 03:13:30,629 epoch 35 - iter 1325/2650 - loss 0.10807675 - time (sec): 50.62 - samples/sec: 14508.02 - lr: 0.100000 2023-04-06 03:13:40,782 epoch 35 - iter 1590/2650 - loss 0.10794832 - time (sec): 60.77 - samples/sec: 14496.87 - lr: 0.100000 2023-04-06 03:13:51,022 epoch 35 - iter 1855/2650 - loss 0.10840180 - time (sec): 71.01 - samples/sec: 14515.54 - lr: 0.100000 2023-04-06 03:14:01,262 epoch 35 - iter 2120/2650 - loss 0.10860036 - time (sec): 81.25 - samples/sec: 14507.39 - lr: 0.100000 2023-04-06 03:14:11,314 epoch 35 - iter 2385/2650 - loss 0.10874207 - time (sec): 91.30 - samples/sec: 14516.79 - lr: 0.100000 2023-04-06 03:14:21,577 epoch 35 - iter 2650/2650 - loss 0.10898570 - time (sec): 101.56 - samples/sec: 14511.20 - lr: 0.100000 2023-04-06 03:14:21,578 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:14:21,578 EPOCH 35 done: loss 0.1090 - lr 0.100000 2023-04-06 03:14:21,578 BAD EPOCHS (no improvement): 0 2023-04-06 03:14:21,581 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:14:31,826 epoch 36 - iter 265/2650 - loss 0.10788251 - time (sec): 10.24 - samples/sec: 14505.09 - lr: 0.100000 2023-04-06 03:14:41,918 epoch 36 - iter 530/2650 - loss 0.10740207 - time (sec): 20.34 - samples/sec: 14552.45 - lr: 0.100000 2023-04-06 03:14:51,980 epoch 36 - iter 795/2650 - loss 0.10764120 - time (sec): 30.40 - samples/sec: 14574.25 - lr: 0.100000 2023-04-06 03:15:02,111 epoch 36 - iter 1060/2650 - loss 0.10754894 - time (sec): 40.53 - samples/sec: 14550.73 - lr: 0.100000 2023-04-06 03:15:12,234 epoch 36 - iter 1325/2650 - loss 0.10780693 - time (sec): 50.65 - samples/sec: 14523.40 - lr: 0.100000 2023-04-06 03:15:22,571 epoch 36 - iter 1590/2650 - loss 0.10736396 - time (sec): 60.99 - samples/sec: 14498.31 - lr: 0.100000 2023-04-06 03:15:32,853 epoch 36 - iter 1855/2650 - loss 0.10741221 - time (sec): 71.27 - samples/sec: 14482.21 - lr: 0.100000 2023-04-06 03:15:42,958 epoch 36 - iter 2120/2650 - loss 0.10827643 - time (sec): 81.38 - samples/sec: 14481.21 - lr: 0.100000 2023-04-06 03:15:53,274 epoch 36 - iter 2385/2650 - loss 0.10829258 - time (sec): 91.69 - samples/sec: 14472.16 - lr: 0.100000 2023-04-06 03:16:03,461 epoch 36 - iter 2650/2650 - loss 0.10859554 - time (sec): 101.88 - samples/sec: 14466.26 - lr: 0.100000 2023-04-06 03:16:03,461 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:16:03,461 EPOCH 36 done: loss 0.1086 - lr 0.100000 2023-04-06 03:16:03,462 BAD EPOCHS (no improvement): 0 2023-04-06 03:16:03,466 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:16:13,642 epoch 37 - iter 265/2650 - loss 0.10384978 - time (sec): 10.18 - samples/sec: 14405.68 - lr: 0.100000 2023-04-06 03:16:23,776 epoch 37 - iter 530/2650 - loss 0.10634621 - time (sec): 20.31 - samples/sec: 14421.16 - lr: 0.100000 2023-04-06 03:16:33,962 epoch 37 - iter 795/2650 - loss 0.10727941 - time (sec): 30.50 - samples/sec: 14427.85 - lr: 0.100000 2023-04-06 03:16:44,020 epoch 37 - iter 1060/2650 - loss 0.10737745 - time (sec): 40.55 - samples/sec: 14438.21 - lr: 0.100000 2023-04-06 03:16:54,224 epoch 37 - iter 1325/2650 - loss 0.10735344 - time (sec): 50.76 - samples/sec: 14447.04 - lr: 0.100000 2023-04-06 03:17:04,568 epoch 37 - iter 1590/2650 - loss 0.10712530 - time (sec): 61.10 - samples/sec: 14440.36 - lr: 0.100000 2023-04-06 03:17:14,781 epoch 37 - iter 1855/2650 - loss 0.10756790 - time (sec): 71.32 - samples/sec: 14439.95 - lr: 0.100000 2023-04-06 03:17:24,943 epoch 37 - iter 2120/2650 - loss 0.10759782 - time (sec): 81.48 - samples/sec: 14463.48 - lr: 0.100000 2023-04-06 03:17:35,107 epoch 37 - iter 2385/2650 - loss 0.10780179 - time (sec): 91.64 - samples/sec: 14457.68 - lr: 0.100000 2023-04-06 03:17:45,385 epoch 37 - iter 2650/2650 - loss 0.10778955 - time (sec): 101.92 - samples/sec: 14460.76 - lr: 0.100000 2023-04-06 03:17:45,385 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:17:45,385 EPOCH 37 done: loss 0.1078 - lr 0.100000 2023-04-06 03:17:45,385 BAD EPOCHS (no improvement): 0 2023-04-06 03:17:45,393 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:17:55,529 epoch 38 - iter 265/2650 - loss 0.10570748 - time (sec): 10.14 - samples/sec: 14457.97 - lr: 0.100000 2023-04-06 03:18:05,736 epoch 38 - iter 530/2650 - loss 0.10557299 - time (sec): 20.34 - samples/sec: 14488.76 - lr: 0.100000 2023-04-06 03:18:15,827 epoch 38 - iter 795/2650 - loss 0.10594499 - time (sec): 30.43 - samples/sec: 14482.00 - lr: 0.100000 2023-04-06 03:18:25,968 epoch 38 - iter 1060/2650 - loss 0.10626719 - time (sec): 40.57 - samples/sec: 14480.05 - lr: 0.100000 2023-04-06 03:18:36,045 epoch 38 - iter 1325/2650 - loss 0.10562089 - time (sec): 50.65 - samples/sec: 14480.12 - lr: 0.100000 2023-04-06 03:18:46,374 epoch 38 - iter 1590/2650 - loss 0.10598904 - time (sec): 60.98 - samples/sec: 14468.54 - lr: 0.100000 2023-04-06 03:18:56,590 epoch 38 - iter 1855/2650 - loss 0.10633313 - time (sec): 71.20 - samples/sec: 14478.44 - lr: 0.100000 2023-04-06 03:19:06,863 epoch 38 - iter 2120/2650 - loss 0.10638861 - time (sec): 81.47 - samples/sec: 14465.81 - lr: 0.100000 2023-04-06 03:19:17,122 epoch 38 - iter 2385/2650 - loss 0.10656406 - time (sec): 91.73 - samples/sec: 14465.54 - lr: 0.100000 2023-04-06 03:19:27,326 epoch 38 - iter 2650/2650 - loss 0.10680210 - time (sec): 101.93 - samples/sec: 14458.81 - lr: 0.100000 2023-04-06 03:19:27,326 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:19:27,326 EPOCH 38 done: loss 0.1068 - lr 0.100000 2023-04-06 03:19:27,326 BAD EPOCHS (no improvement): 0 2023-04-06 03:19:27,330 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:19:41,638 epoch 39 - iter 265/2650 - loss 0.10432243 - time (sec): 14.31 - samples/sec: 10261.65 - lr: 0.100000 2023-04-06 03:19:51,880 epoch 39 - iter 530/2650 - loss 0.10331434 - time (sec): 24.55 - samples/sec: 12000.17 - lr: 0.100000 2023-04-06 03:20:01,932 epoch 39 - iter 795/2650 - loss 0.10336967 - time (sec): 34.60 - samples/sec: 12719.87 - lr: 0.100000 2023-04-06 03:20:12,098 epoch 39 - iter 1060/2650 - loss 0.10417723 - time (sec): 44.77 - samples/sec: 13097.45 - lr: 0.100000 2023-04-06 03:20:22,127 epoch 39 - iter 1325/2650 - loss 0.10425367 - time (sec): 54.80 - samples/sec: 13367.57 - lr: 0.100000 2023-04-06 03:20:32,221 epoch 39 - iter 1590/2650 - loss 0.10467140 - time (sec): 64.89 - samples/sec: 13533.80 - lr: 0.100000 2023-04-06 03:20:42,564 epoch 39 - iter 1855/2650 - loss 0.10490396 - time (sec): 75.23 - samples/sec: 13651.56 - lr: 0.100000 2023-04-06 03:20:52,886 epoch 39 - iter 2120/2650 - loss 0.10490401 - time (sec): 85.56 - samples/sec: 13738.02 - lr: 0.100000 2023-04-06 03:21:03,164 epoch 39 - iter 2385/2650 - loss 0.10513213 - time (sec): 95.83 - samples/sec: 13826.25 - lr: 0.100000 2023-04-06 03:21:13,523 epoch 39 - iter 2650/2650 - loss 0.10510118 - time (sec): 106.19 - samples/sec: 13878.71 - lr: 0.100000 2023-04-06 03:21:13,524 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:21:13,524 EPOCH 39 done: loss 0.1051 - lr 0.100000 2023-04-06 03:21:13,524 BAD EPOCHS (no improvement): 0 2023-04-06 03:21:13,527 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:21:23,668 epoch 40 - iter 265/2650 - loss 0.10265434 - time (sec): 10.14 - samples/sec: 14535.90 - lr: 0.100000 2023-04-06 03:21:33,876 epoch 40 - iter 530/2650 - loss 0.10365321 - time (sec): 20.35 - samples/sec: 14493.49 - lr: 0.100000 2023-04-06 03:21:44,011 epoch 40 - iter 795/2650 - loss 0.10497334 - time (sec): 30.48 - samples/sec: 14492.45 - lr: 0.100000 2023-04-06 03:21:54,202 epoch 40 - iter 1060/2650 - loss 0.10496029 - time (sec): 40.67 - samples/sec: 14480.55 - lr: 0.100000 2023-04-06 03:22:04,395 epoch 40 - iter 1325/2650 - loss 0.10546813 - time (sec): 50.87 - samples/sec: 14472.27 - lr: 0.100000 2023-04-06 03:22:14,613 epoch 40 - iter 1590/2650 - loss 0.10615589 - time (sec): 61.09 - samples/sec: 14463.90 - lr: 0.100000 2023-04-06 03:22:24,791 epoch 40 - iter 1855/2650 - loss 0.10592352 - time (sec): 71.26 - samples/sec: 14468.09 - lr: 0.100000 2023-04-06 03:22:34,982 epoch 40 - iter 2120/2650 - loss 0.10606295 - time (sec): 81.45 - samples/sec: 14478.93 - lr: 0.100000 2023-04-06 03:22:45,218 epoch 40 - iter 2385/2650 - loss 0.10592030 - time (sec): 91.69 - samples/sec: 14467.32 - lr: 0.100000 2023-04-06 03:22:55,319 epoch 40 - iter 2650/2650 - loss 0.10593371 - time (sec): 101.79 - samples/sec: 14478.83 - lr: 0.100000 2023-04-06 03:22:55,319 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:22:55,319 EPOCH 40 done: loss 0.1059 - lr 0.100000 2023-04-06 03:22:55,319 BAD EPOCHS (no improvement): 1 2023-04-06 03:22:55,323 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:23:05,500 epoch 41 - iter 265/2650 - loss 0.10130094 - time (sec): 10.18 - samples/sec: 14454.15 - lr: 0.100000 2023-04-06 03:23:15,582 epoch 41 - iter 530/2650 - loss 0.10367368 - time (sec): 20.26 - samples/sec: 14442.85 - lr: 0.100000 2023-04-06 03:23:26,021 epoch 41 - iter 795/2650 - loss 0.10431402 - time (sec): 30.70 - samples/sec: 14394.50 - lr: 0.100000 2023-04-06 03:23:36,296 epoch 41 - iter 1060/2650 - loss 0.10481347 - time (sec): 40.97 - samples/sec: 14390.52 - lr: 0.100000 2023-04-06 03:23:46,591 epoch 41 - iter 1325/2650 - loss 0.10491229 - time (sec): 51.27 - samples/sec: 14372.36 - lr: 0.100000 2023-04-06 03:23:56,822 epoch 41 - iter 1590/2650 - loss 0.10525395 - time (sec): 61.50 - samples/sec: 14387.20 - lr: 0.100000 2023-04-06 03:24:07,105 epoch 41 - iter 1855/2650 - loss 0.10489447 - time (sec): 71.78 - samples/sec: 14402.07 - lr: 0.100000 2023-04-06 03:24:17,133 epoch 41 - iter 2120/2650 - loss 0.10496334 - time (sec): 81.81 - samples/sec: 14425.92 - lr: 0.100000 2023-04-06 03:24:27,374 epoch 41 - iter 2385/2650 - loss 0.10504976 - time (sec): 92.05 - samples/sec: 14427.86 - lr: 0.100000 2023-04-06 03:24:37,353 epoch 41 - iter 2650/2650 - loss 0.10524753 - time (sec): 102.03 - samples/sec: 14445.06 - lr: 0.100000 2023-04-06 03:24:37,353 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:24:37,353 EPOCH 41 done: loss 0.1052 - lr 0.100000 2023-04-06 03:24:37,354 BAD EPOCHS (no improvement): 2 2023-04-06 03:24:37,357 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:24:47,535 epoch 42 - iter 265/2650 - loss 0.10323283 - time (sec): 10.18 - samples/sec: 14453.13 - lr: 0.100000 2023-04-06 03:24:57,753 epoch 42 - iter 530/2650 - loss 0.10419123 - time (sec): 20.40 - samples/sec: 14485.24 - lr: 0.100000 2023-04-06 03:25:07,998 epoch 42 - iter 795/2650 - loss 0.10324302 - time (sec): 30.64 - samples/sec: 14464.06 - lr: 0.100000 2023-04-06 03:25:18,289 epoch 42 - iter 1060/2650 - loss 0.10360180 - time (sec): 40.93 - samples/sec: 14479.09 - lr: 0.100000 2023-04-06 03:25:28,537 epoch 42 - iter 1325/2650 - loss 0.10371275 - time (sec): 51.18 - samples/sec: 14490.27 - lr: 0.100000 2023-04-06 03:25:38,705 epoch 42 - iter 1590/2650 - loss 0.10357423 - time (sec): 61.35 - samples/sec: 14484.42 - lr: 0.100000 2023-04-06 03:25:48,884 epoch 42 - iter 1855/2650 - loss 0.10414813 - time (sec): 71.53 - samples/sec: 14493.83 - lr: 0.100000 2023-04-06 03:25:58,827 epoch 42 - iter 2120/2650 - loss 0.10444400 - time (sec): 81.47 - samples/sec: 14508.15 - lr: 0.100000 2023-04-06 03:26:08,843 epoch 42 - iter 2385/2650 - loss 0.10432094 - time (sec): 91.49 - samples/sec: 14505.49 - lr: 0.100000 2023-04-06 03:26:18,975 epoch 42 - iter 2650/2650 - loss 0.10437226 - time (sec): 101.62 - samples/sec: 14503.62 - lr: 0.100000 2023-04-06 03:26:18,975 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:26:18,975 EPOCH 42 done: loss 0.1044 - lr 0.100000 2023-04-06 03:26:18,976 BAD EPOCHS (no improvement): 0 2023-04-06 03:26:18,979 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:26:29,130 epoch 43 - iter 265/2650 - loss 0.10083172 - time (sec): 10.15 - samples/sec: 14539.44 - lr: 0.100000 2023-04-06 03:26:39,346 epoch 43 - iter 530/2650 - loss 0.10151996 - time (sec): 20.37 - samples/sec: 14509.36 - lr: 0.100000 2023-04-06 03:26:49,521 epoch 43 - iter 795/2650 - loss 0.10268388 - time (sec): 30.54 - samples/sec: 14510.70 - lr: 0.100000 2023-04-06 03:26:59,500 epoch 43 - iter 1060/2650 - loss 0.10258307 - time (sec): 40.52 - samples/sec: 14514.71 - lr: 0.100000 2023-04-06 03:27:09,744 epoch 43 - iter 1325/2650 - loss 0.10315747 - time (sec): 50.77 - samples/sec: 14523.34 - lr: 0.100000 2023-04-06 03:27:19,896 epoch 43 - iter 1590/2650 - loss 0.10286153 - time (sec): 60.92 - samples/sec: 14512.09 - lr: 0.100000 2023-04-06 03:27:29,904 epoch 43 - iter 1855/2650 - loss 0.10311719 - time (sec): 70.93 - samples/sec: 14515.37 - lr: 0.100000 2023-04-06 03:27:40,193 epoch 43 - iter 2120/2650 - loss 0.10336652 - time (sec): 81.21 - samples/sec: 14507.61 - lr: 0.100000 2023-04-06 03:27:50,410 epoch 43 - iter 2385/2650 - loss 0.10339573 - time (sec): 91.43 - samples/sec: 14499.55 - lr: 0.100000 2023-04-06 03:28:00,645 epoch 43 - iter 2650/2650 - loss 0.10351059 - time (sec): 101.67 - samples/sec: 14496.63 - lr: 0.100000 2023-04-06 03:28:00,646 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:28:00,646 EPOCH 43 done: loss 0.1035 - lr 0.100000 2023-04-06 03:28:00,646 BAD EPOCHS (no improvement): 0 2023-04-06 03:28:00,652 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:28:10,749 epoch 44 - iter 265/2650 - loss 0.10195232 - time (sec): 10.10 - samples/sec: 14578.62 - lr: 0.100000 2023-04-06 03:28:20,843 epoch 44 - iter 530/2650 - loss 0.10254630 - time (sec): 20.19 - samples/sec: 14566.69 - lr: 0.100000 2023-04-06 03:28:30,990 epoch 44 - iter 795/2650 - loss 0.10152202 - time (sec): 30.34 - samples/sec: 14531.10 - lr: 0.100000 2023-04-06 03:28:41,152 epoch 44 - iter 1060/2650 - loss 0.10178913 - time (sec): 40.50 - samples/sec: 14502.41 - lr: 0.100000 2023-04-06 03:28:51,282 epoch 44 - iter 1325/2650 - loss 0.10260791 - time (sec): 50.63 - samples/sec: 14497.21 - lr: 0.100000 2023-04-06 03:29:01,648 epoch 44 - iter 1590/2650 - loss 0.10284586 - time (sec): 61.00 - samples/sec: 14489.94 - lr: 0.100000 2023-04-06 03:29:11,920 epoch 44 - iter 1855/2650 - loss 0.10261140 - time (sec): 71.27 - samples/sec: 14496.67 - lr: 0.100000 2023-04-06 03:29:22,138 epoch 44 - iter 2120/2650 - loss 0.10245075 - time (sec): 81.49 - samples/sec: 14489.85 - lr: 0.100000 2023-04-06 03:29:32,272 epoch 44 - iter 2385/2650 - loss 0.10289228 - time (sec): 91.62 - samples/sec: 14488.84 - lr: 0.100000 2023-04-06 03:29:42,424 epoch 44 - iter 2650/2650 - loss 0.10293020 - time (sec): 101.77 - samples/sec: 14481.57 - lr: 0.100000 2023-04-06 03:29:42,425 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:29:42,425 EPOCH 44 done: loss 0.1029 - lr 0.100000 2023-04-06 03:29:42,425 BAD EPOCHS (no improvement): 0 2023-04-06 03:29:42,428 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:29:52,607 epoch 45 - iter 265/2650 - loss 0.10215330 - time (sec): 10.18 - samples/sec: 14540.70 - lr: 0.100000 2023-04-06 03:30:06,894 epoch 45 - iter 530/2650 - loss 0.10267703 - time (sec): 24.47 - samples/sec: 12073.32 - lr: 0.100000 2023-04-06 03:30:17,180 epoch 45 - iter 795/2650 - loss 0.10292609 - time (sec): 34.75 - samples/sec: 12777.38 - lr: 0.100000 2023-04-06 03:30:27,309 epoch 45 - iter 1060/2650 - loss 0.10202975 - time (sec): 44.88 - samples/sec: 13141.77 - lr: 0.100000 2023-04-06 03:30:37,466 epoch 45 - iter 1325/2650 - loss 0.10126806 - time (sec): 55.04 - samples/sec: 13384.93 - lr: 0.100000 2023-04-06 03:30:47,660 epoch 45 - iter 1590/2650 - loss 0.10134050 - time (sec): 65.23 - samples/sec: 13559.00 - lr: 0.100000 2023-04-06 03:30:57,772 epoch 45 - iter 1855/2650 - loss 0.10192792 - time (sec): 75.34 - samples/sec: 13681.75 - lr: 0.100000 2023-04-06 03:31:07,913 epoch 45 - iter 2120/2650 - loss 0.10199745 - time (sec): 85.48 - samples/sec: 13779.01 - lr: 0.100000 2023-04-06 03:31:18,077 epoch 45 - iter 2385/2650 - loss 0.10209801 - time (sec): 95.65 - samples/sec: 13849.87 - lr: 0.100000 2023-04-06 03:31:28,338 epoch 45 - iter 2650/2650 - loss 0.10242691 - time (sec): 105.91 - samples/sec: 13915.83 - lr: 0.100000 2023-04-06 03:31:28,338 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:31:28,338 EPOCH 45 done: loss 0.1024 - lr 0.100000 2023-04-06 03:31:28,338 BAD EPOCHS (no improvement): 0 2023-04-06 03:31:28,342 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:31:38,591 epoch 46 - iter 265/2650 - loss 0.10072522 - time (sec): 10.25 - samples/sec: 14457.90 - lr: 0.100000 2023-04-06 03:31:48,786 epoch 46 - iter 530/2650 - loss 0.10089247 - time (sec): 20.44 - samples/sec: 14502.85 - lr: 0.100000 2023-04-06 03:31:59,102 epoch 46 - iter 795/2650 - loss 0.10210404 - time (sec): 30.76 - samples/sec: 14456.44 - lr: 0.100000 2023-04-06 03:32:09,233 epoch 46 - iter 1060/2650 - loss 0.10163999 - time (sec): 40.89 - samples/sec: 14468.33 - lr: 0.100000 2023-04-06 03:32:19,515 epoch 46 - iter 1325/2650 - loss 0.10222589 - time (sec): 51.17 - samples/sec: 14446.20 - lr: 0.100000 2023-04-06 03:32:29,569 epoch 46 - iter 1590/2650 - loss 0.10164317 - time (sec): 61.23 - samples/sec: 14469.15 - lr: 0.100000 2023-04-06 03:32:39,699 epoch 46 - iter 1855/2650 - loss 0.10188083 - time (sec): 71.36 - samples/sec: 14454.88 - lr: 0.100000 2023-04-06 03:32:50,052 epoch 46 - iter 2120/2650 - loss 0.10196393 - time (sec): 81.71 - samples/sec: 14452.98 - lr: 0.100000 2023-04-06 03:33:00,145 epoch 46 - iter 2385/2650 - loss 0.10209089 - time (sec): 91.80 - samples/sec: 14452.41 - lr: 0.100000 2023-04-06 03:33:10,232 epoch 46 - iter 2650/2650 - loss 0.10223696 - time (sec): 101.89 - samples/sec: 14464.89 - lr: 0.100000 2023-04-06 03:33:10,232 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:33:10,232 EPOCH 46 done: loss 0.1022 - lr 0.100000 2023-04-06 03:33:10,232 BAD EPOCHS (no improvement): 0 2023-04-06 03:33:10,236 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:33:20,469 epoch 47 - iter 265/2650 - loss 0.09908528 - time (sec): 10.23 - samples/sec: 14487.79 - lr: 0.100000 2023-04-06 03:33:30,505 epoch 47 - iter 530/2650 - loss 0.10003158 - time (sec): 20.27 - samples/sec: 14538.23 - lr: 0.100000 2023-04-06 03:33:40,618 epoch 47 - iter 795/2650 - loss 0.09998706 - time (sec): 30.38 - samples/sec: 14507.68 - lr: 0.100000 2023-04-06 03:33:51,019 epoch 47 - iter 1060/2650 - loss 0.10065634 - time (sec): 40.78 - samples/sec: 14452.64 - lr: 0.100000 2023-04-06 03:34:01,260 epoch 47 - iter 1325/2650 - loss 0.10035103 - time (sec): 51.02 - samples/sec: 14447.90 - lr: 0.100000 2023-04-06 03:34:11,535 epoch 47 - iter 1590/2650 - loss 0.10056560 - time (sec): 61.30 - samples/sec: 14425.22 - lr: 0.100000 2023-04-06 03:34:21,746 epoch 47 - iter 1855/2650 - loss 0.10045307 - time (sec): 71.51 - samples/sec: 14421.63 - lr: 0.100000 2023-04-06 03:34:31,912 epoch 47 - iter 2120/2650 - loss 0.10081496 - time (sec): 81.68 - samples/sec: 14413.91 - lr: 0.100000 2023-04-06 03:34:42,180 epoch 47 - iter 2385/2650 - loss 0.10112057 - time (sec): 91.94 - samples/sec: 14409.16 - lr: 0.100000 2023-04-06 03:34:52,478 epoch 47 - iter 2650/2650 - loss 0.10077343 - time (sec): 102.24 - samples/sec: 14415.03 - lr: 0.100000 2023-04-06 03:34:52,478 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:34:52,478 EPOCH 47 done: loss 0.1008 - lr 0.100000 2023-04-06 03:34:52,478 BAD EPOCHS (no improvement): 0 2023-04-06 03:34:52,483 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:35:02,715 epoch 48 - iter 265/2650 - loss 0.10196290 - time (sec): 10.23 - samples/sec: 14417.65 - lr: 0.100000 2023-04-06 03:35:12,976 epoch 48 - iter 530/2650 - loss 0.10001255 - time (sec): 20.49 - samples/sec: 14370.35 - lr: 0.100000 2023-04-06 03:35:23,322 epoch 48 - iter 795/2650 - loss 0.10015832 - time (sec): 30.84 - samples/sec: 14415.91 - lr: 0.100000 2023-04-06 03:35:33,549 epoch 48 - iter 1060/2650 - loss 0.09994154 - time (sec): 41.07 - samples/sec: 14391.42 - lr: 0.100000 2023-04-06 03:35:43,717 epoch 48 - iter 1325/2650 - loss 0.10039253 - time (sec): 51.23 - samples/sec: 14396.58 - lr: 0.100000 2023-04-06 03:35:53,983 epoch 48 - iter 1590/2650 - loss 0.10059579 - time (sec): 61.50 - samples/sec: 14393.23 - lr: 0.100000 2023-04-06 03:36:04,183 epoch 48 - iter 1855/2650 - loss 0.10033061 - time (sec): 71.70 - samples/sec: 14383.57 - lr: 0.100000 2023-04-06 03:36:14,527 epoch 48 - iter 2120/2650 - loss 0.10034709 - time (sec): 82.04 - samples/sec: 14371.09 - lr: 0.100000 2023-04-06 03:36:24,765 epoch 48 - iter 2385/2650 - loss 0.10030490 - time (sec): 92.28 - samples/sec: 14374.48 - lr: 0.100000 2023-04-06 03:36:35,129 epoch 48 - iter 2650/2650 - loss 0.10045375 - time (sec): 102.65 - samples/sec: 14358.36 - lr: 0.100000 2023-04-06 03:36:35,129 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:36:35,129 EPOCH 48 done: loss 0.1005 - lr 0.100000 2023-04-06 03:36:35,129 BAD EPOCHS (no improvement): 0 2023-04-06 03:36:35,132 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:36:45,562 epoch 49 - iter 265/2650 - loss 0.09913217 - time (sec): 10.43 - samples/sec: 14335.50 - lr: 0.100000 2023-04-06 03:36:55,856 epoch 49 - iter 530/2650 - loss 0.09804710 - time (sec): 20.72 - samples/sec: 14338.33 - lr: 0.100000 2023-04-06 03:37:06,187 epoch 49 - iter 795/2650 - loss 0.09802550 - time (sec): 31.05 - samples/sec: 14332.48 - lr: 0.100000 2023-04-06 03:37:16,590 epoch 49 - iter 1060/2650 - loss 0.09797576 - time (sec): 41.46 - samples/sec: 14321.54 - lr: 0.100000 2023-04-06 03:37:26,869 epoch 49 - iter 1325/2650 - loss 0.09827847 - time (sec): 51.74 - samples/sec: 14321.11 - lr: 0.100000 2023-04-06 03:37:37,167 epoch 49 - iter 1590/2650 - loss 0.09819689 - time (sec): 62.03 - samples/sec: 14314.04 - lr: 0.100000 2023-04-06 03:37:47,324 epoch 49 - iter 1855/2650 - loss 0.09830007 - time (sec): 72.19 - samples/sec: 14321.56 - lr: 0.100000 2023-04-06 03:37:57,588 epoch 49 - iter 2120/2650 - loss 0.09860028 - time (sec): 82.46 - samples/sec: 14317.97 - lr: 0.100000 2023-04-06 03:38:07,764 epoch 49 - iter 2385/2650 - loss 0.09895610 - time (sec): 92.63 - samples/sec: 14322.16 - lr: 0.100000 2023-04-06 03:38:18,006 epoch 49 - iter 2650/2650 - loss 0.09922051 - time (sec): 102.87 - samples/sec: 14326.50 - lr: 0.100000 2023-04-06 03:38:18,007 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:38:18,007 EPOCH 49 done: loss 0.0992 - lr 0.100000 2023-04-06 03:38:18,007 BAD EPOCHS (no improvement): 0 2023-04-06 03:38:18,014 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:38:28,256 epoch 50 - iter 265/2650 - loss 0.09678968 - time (sec): 10.24 - samples/sec: 14422.31 - lr: 0.100000 2023-04-06 03:38:38,285 epoch 50 - iter 530/2650 - loss 0.09826595 - time (sec): 20.27 - samples/sec: 14463.83 - lr: 0.100000 2023-04-06 03:38:48,296 epoch 50 - iter 795/2650 - loss 0.09811316 - time (sec): 30.28 - samples/sec: 14438.93 - lr: 0.100000 2023-04-06 03:38:58,545 epoch 50 - iter 1060/2650 - loss 0.09851081 - time (sec): 40.53 - samples/sec: 14458.79 - lr: 0.100000 2023-04-06 03:39:08,893 epoch 50 - iter 1325/2650 - loss 0.09838403 - time (sec): 50.88 - samples/sec: 14441.62 - lr: 0.100000 2023-04-06 03:39:19,092 epoch 50 - iter 1590/2650 - loss 0.09887097 - time (sec): 61.08 - samples/sec: 14451.58 - lr: 0.100000 2023-04-06 03:39:29,392 epoch 50 - iter 1855/2650 - loss 0.09870294 - time (sec): 71.38 - samples/sec: 14453.27 - lr: 0.100000 2023-04-06 03:39:39,526 epoch 50 - iter 2120/2650 - loss 0.09882830 - time (sec): 81.51 - samples/sec: 14457.95 - lr: 0.100000 2023-04-06 03:39:49,741 epoch 50 - iter 2385/2650 - loss 0.09893257 - time (sec): 91.73 - samples/sec: 14452.65 - lr: 0.100000 2023-04-06 03:39:59,872 epoch 50 - iter 2650/2650 - loss 0.09916511 - time (sec): 101.86 - samples/sec: 14469.32 - lr: 0.100000 2023-04-06 03:39:59,873 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:39:59,873 EPOCH 50 done: loss 0.0992 - lr 0.100000 2023-04-06 03:39:59,873 BAD EPOCHS (no improvement): 0 2023-04-06 03:39:59,876 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:40:09,997 epoch 51 - iter 265/2650 - loss 0.09663392 - time (sec): 10.12 - samples/sec: 14463.26 - lr: 0.100000 2023-04-06 03:40:20,220 epoch 51 - iter 530/2650 - loss 0.09828781 - time (sec): 20.34 - samples/sec: 14495.55 - lr: 0.100000 2023-04-06 03:40:30,613 epoch 51 - iter 795/2650 - loss 0.09817882 - time (sec): 30.74 - samples/sec: 14461.59 - lr: 0.100000 2023-04-06 03:40:44,926 epoch 51 - iter 1060/2650 - loss 0.09843327 - time (sec): 45.05 - samples/sec: 13126.13 - lr: 0.100000 2023-04-06 03:40:55,055 epoch 51 - iter 1325/2650 - loss 0.09898064 - time (sec): 55.18 - samples/sec: 13366.79 - lr: 0.100000 2023-04-06 03:41:05,262 epoch 51 - iter 1590/2650 - loss 0.09868194 - time (sec): 65.39 - samples/sec: 13533.35 - lr: 0.100000 2023-04-06 03:41:15,510 epoch 51 - iter 1855/2650 - loss 0.09855457 - time (sec): 75.63 - samples/sec: 13656.09 - lr: 0.100000 2023-04-06 03:41:25,418 epoch 51 - iter 2120/2650 - loss 0.09870620 - time (sec): 85.54 - samples/sec: 13769.91 - lr: 0.100000 2023-04-06 03:41:35,608 epoch 51 - iter 2385/2650 - loss 0.09878550 - time (sec): 95.73 - samples/sec: 13844.15 - lr: 0.100000 2023-04-06 03:41:45,834 epoch 51 - iter 2650/2650 - loss 0.09884561 - time (sec): 105.96 - samples/sec: 13909.54 - lr: 0.100000 2023-04-06 03:41:45,834 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:41:45,834 EPOCH 51 done: loss 0.0988 - lr 0.100000 2023-04-06 03:41:45,834 BAD EPOCHS (no improvement): 0 2023-04-06 03:41:45,838 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:41:56,247 epoch 52 - iter 265/2650 - loss 0.09746777 - time (sec): 10.41 - samples/sec: 14245.71 - lr: 0.100000 2023-04-06 03:42:06,514 epoch 52 - iter 530/2650 - loss 0.09746823 - time (sec): 20.68 - samples/sec: 14302.39 - lr: 0.100000 2023-04-06 03:42:16,718 epoch 52 - iter 795/2650 - loss 0.09856488 - time (sec): 30.88 - samples/sec: 14313.59 - lr: 0.100000 2023-04-06 03:42:27,004 epoch 52 - iter 1060/2650 - loss 0.09860699 - time (sec): 41.16 - samples/sec: 14333.65 - lr: 0.100000 2023-04-06 03:42:37,283 epoch 52 - iter 1325/2650 - loss 0.09892245 - time (sec): 51.44 - samples/sec: 14349.74 - lr: 0.100000 2023-04-06 03:42:47,507 epoch 52 - iter 1590/2650 - loss 0.09867769 - time (sec): 61.67 - samples/sec: 14348.32 - lr: 0.100000 2023-04-06 03:42:57,745 epoch 52 - iter 1855/2650 - loss 0.09890228 - time (sec): 71.91 - samples/sec: 14355.63 - lr: 0.100000 2023-04-06 03:43:07,976 epoch 52 - iter 2120/2650 - loss 0.09894612 - time (sec): 82.14 - samples/sec: 14364.63 - lr: 0.100000 2023-04-06 03:43:18,124 epoch 52 - iter 2385/2650 - loss 0.09900486 - time (sec): 92.29 - samples/sec: 14379.46 - lr: 0.100000 2023-04-06 03:43:28,457 epoch 52 - iter 2650/2650 - loss 0.09890524 - time (sec): 102.62 - samples/sec: 14362.14 - lr: 0.100000 2023-04-06 03:43:28,458 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:43:28,458 EPOCH 52 done: loss 0.0989 - lr 0.100000 2023-04-06 03:43:28,458 BAD EPOCHS (no improvement): 1 2023-04-06 03:43:28,461 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:43:38,655 epoch 53 - iter 265/2650 - loss 0.09198183 - time (sec): 10.19 - samples/sec: 14443.97 - lr: 0.100000 2023-04-06 03:43:48,966 epoch 53 - iter 530/2650 - loss 0.09355247 - time (sec): 20.50 - samples/sec: 14428.91 - lr: 0.100000 2023-04-06 03:43:59,188 epoch 53 - iter 795/2650 - loss 0.09456550 - time (sec): 30.73 - samples/sec: 14417.80 - lr: 0.100000 2023-04-06 03:44:09,376 epoch 53 - iter 1060/2650 - loss 0.09515107 - time (sec): 40.91 - samples/sec: 14412.25 - lr: 0.100000 2023-04-06 03:44:19,534 epoch 53 - iter 1325/2650 - loss 0.09656648 - time (sec): 51.07 - samples/sec: 14413.76 - lr: 0.100000 2023-04-06 03:44:29,885 epoch 53 - iter 1590/2650 - loss 0.09725390 - time (sec): 61.42 - samples/sec: 14390.44 - lr: 0.100000 2023-04-06 03:44:40,119 epoch 53 - iter 1855/2650 - loss 0.09792194 - time (sec): 71.66 - samples/sec: 14392.66 - lr: 0.100000 2023-04-06 03:44:50,603 epoch 53 - iter 2120/2650 - loss 0.09801606 - time (sec): 82.14 - samples/sec: 14361.50 - lr: 0.100000 2023-04-06 03:45:00,866 epoch 53 - iter 2385/2650 - loss 0.09794419 - time (sec): 92.41 - samples/sec: 14362.68 - lr: 0.100000 2023-04-06 03:45:11,225 epoch 53 - iter 2650/2650 - loss 0.09795727 - time (sec): 102.76 - samples/sec: 14341.83 - lr: 0.100000 2023-04-06 03:45:11,225 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:45:11,226 EPOCH 53 done: loss 0.0980 - lr 0.100000 2023-04-06 03:45:11,226 BAD EPOCHS (no improvement): 0 2023-04-06 03:45:11,229 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:45:21,540 epoch 54 - iter 265/2650 - loss 0.09340976 - time (sec): 10.31 - samples/sec: 14392.97 - lr: 0.100000 2023-04-06 03:45:31,779 epoch 54 - iter 530/2650 - loss 0.09493586 - time (sec): 20.55 - samples/sec: 14411.19 - lr: 0.100000 2023-04-06 03:45:41,915 epoch 54 - iter 795/2650 - loss 0.09527937 - time (sec): 30.69 - samples/sec: 14436.09 - lr: 0.100000 2023-04-06 03:45:52,146 epoch 54 - iter 1060/2650 - loss 0.09606137 - time (sec): 40.92 - samples/sec: 14436.78 - lr: 0.100000 2023-04-06 03:46:02,248 epoch 54 - iter 1325/2650 - loss 0.09649566 - time (sec): 51.02 - samples/sec: 14456.71 - lr: 0.100000 2023-04-06 03:46:12,372 epoch 54 - iter 1590/2650 - loss 0.09643928 - time (sec): 61.14 - samples/sec: 14482.26 - lr: 0.100000 2023-04-06 03:46:22,417 epoch 54 - iter 1855/2650 - loss 0.09695006 - time (sec): 71.19 - samples/sec: 14495.89 - lr: 0.100000 2023-04-06 03:46:32,586 epoch 54 - iter 2120/2650 - loss 0.09721030 - time (sec): 81.36 - samples/sec: 14495.72 - lr: 0.100000 2023-04-06 03:46:42,766 epoch 54 - iter 2385/2650 - loss 0.09773348 - time (sec): 91.54 - samples/sec: 14496.53 - lr: 0.100000 2023-04-06 03:46:52,911 epoch 54 - iter 2650/2650 - loss 0.09764392 - time (sec): 101.68 - samples/sec: 14494.47 - lr: 0.100000 2023-04-06 03:46:52,911 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:46:52,911 EPOCH 54 done: loss 0.0976 - lr 0.100000 2023-04-06 03:46:52,911 BAD EPOCHS (no improvement): 0 2023-04-06 03:46:52,915 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:47:03,119 epoch 55 - iter 265/2650 - loss 0.09414063 - time (sec): 10.20 - samples/sec: 14499.31 - lr: 0.100000 2023-04-06 03:47:13,250 epoch 55 - iter 530/2650 - loss 0.09489586 - time (sec): 20.34 - samples/sec: 14478.54 - lr: 0.100000 2023-04-06 03:47:23,406 epoch 55 - iter 795/2650 - loss 0.09582349 - time (sec): 30.49 - samples/sec: 14483.02 - lr: 0.100000 2023-04-06 03:47:33,513 epoch 55 - iter 1060/2650 - loss 0.09630017 - time (sec): 40.60 - samples/sec: 14510.83 - lr: 0.100000 2023-04-06 03:47:43,777 epoch 55 - iter 1325/2650 - loss 0.09674008 - time (sec): 50.86 - samples/sec: 14482.38 - lr: 0.100000 2023-04-06 03:47:54,021 epoch 55 - iter 1590/2650 - loss 0.09680285 - time (sec): 61.11 - samples/sec: 14487.65 - lr: 0.100000 2023-04-06 03:48:04,285 epoch 55 - iter 1855/2650 - loss 0.09654062 - time (sec): 71.37 - samples/sec: 14481.13 - lr: 0.100000 2023-04-06 03:48:14,378 epoch 55 - iter 2120/2650 - loss 0.09679361 - time (sec): 81.46 - samples/sec: 14486.28 - lr: 0.100000 2023-04-06 03:48:24,554 epoch 55 - iter 2385/2650 - loss 0.09686188 - time (sec): 91.64 - samples/sec: 14468.96 - lr: 0.100000 2023-04-06 03:48:34,724 epoch 55 - iter 2650/2650 - loss 0.09726281 - time (sec): 101.81 - samples/sec: 14476.33 - lr: 0.100000 2023-04-06 03:48:34,724 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:48:34,724 EPOCH 55 done: loss 0.0973 - lr 0.100000 2023-04-06 03:48:34,725 BAD EPOCHS (no improvement): 0 2023-04-06 03:48:34,731 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:48:44,948 epoch 56 - iter 265/2650 - loss 0.09426393 - time (sec): 10.22 - samples/sec: 14498.28 - lr: 0.100000 2023-04-06 03:48:55,026 epoch 56 - iter 530/2650 - loss 0.09451371 - time (sec): 20.29 - samples/sec: 14503.51 - lr: 0.100000 2023-04-06 03:49:05,245 epoch 56 - iter 795/2650 - loss 0.09549682 - time (sec): 30.51 - samples/sec: 14527.82 - lr: 0.100000 2023-04-06 03:49:15,237 epoch 56 - iter 1060/2650 - loss 0.09512061 - time (sec): 40.51 - samples/sec: 14509.28 - lr: 0.100000 2023-04-06 03:49:25,310 epoch 56 - iter 1325/2650 - loss 0.09538705 - time (sec): 50.58 - samples/sec: 14519.98 - lr: 0.100000 2023-04-06 03:49:35,422 epoch 56 - iter 1590/2650 - loss 0.09560296 - time (sec): 60.69 - samples/sec: 14525.87 - lr: 0.100000 2023-04-06 03:49:45,697 epoch 56 - iter 1855/2650 - loss 0.09605948 - time (sec): 70.97 - samples/sec: 14518.81 - lr: 0.100000 2023-04-06 03:49:55,878 epoch 56 - iter 2120/2650 - loss 0.09610848 - time (sec): 81.15 - samples/sec: 14505.78 - lr: 0.100000 2023-04-06 03:50:06,094 epoch 56 - iter 2385/2650 - loss 0.09608286 - time (sec): 91.36 - samples/sec: 14504.39 - lr: 0.100000 2023-04-06 03:50:16,349 epoch 56 - iter 2650/2650 - loss 0.09616572 - time (sec): 101.62 - samples/sec: 14503.62 - lr: 0.100000 2023-04-06 03:50:16,349 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:50:16,350 EPOCH 56 done: loss 0.0962 - lr 0.100000 2023-04-06 03:50:16,350 BAD EPOCHS (no improvement): 0 2023-04-06 03:50:16,353 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:50:26,434 epoch 57 - iter 265/2650 - loss 0.09428998 - time (sec): 10.08 - samples/sec: 14596.62 - lr: 0.100000 2023-04-06 03:50:36,618 epoch 57 - iter 530/2650 - loss 0.09501402 - time (sec): 20.26 - samples/sec: 14512.51 - lr: 0.100000 2023-04-06 03:50:46,746 epoch 57 - iter 795/2650 - loss 0.09545328 - time (sec): 30.39 - samples/sec: 14508.79 - lr: 0.100000 2023-04-06 03:50:56,912 epoch 57 - iter 1060/2650 - loss 0.09522100 - time (sec): 40.56 - samples/sec: 14483.98 - lr: 0.100000 2023-04-06 03:51:06,917 epoch 57 - iter 1325/2650 - loss 0.09588923 - time (sec): 50.56 - samples/sec: 14503.04 - lr: 0.100000 2023-04-06 03:51:21,463 epoch 57 - iter 1590/2650 - loss 0.09576852 - time (sec): 65.11 - samples/sec: 13551.61 - lr: 0.100000 2023-04-06 03:51:31,514 epoch 57 - iter 1855/2650 - loss 0.09549006 - time (sec): 75.16 - samples/sec: 13714.54 - lr: 0.100000 2023-04-06 03:51:41,622 epoch 57 - iter 2120/2650 - loss 0.09569865 - time (sec): 85.27 - samples/sec: 13808.32 - lr: 0.100000 2023-04-06 03:51:51,918 epoch 57 - iter 2385/2650 - loss 0.09590356 - time (sec): 95.57 - samples/sec: 13882.49 - lr: 0.100000 2023-04-06 03:52:02,172 epoch 57 - iter 2650/2650 - loss 0.09605253 - time (sec): 105.82 - samples/sec: 13927.78 - lr: 0.100000 2023-04-06 03:52:02,172 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:52:02,172 EPOCH 57 done: loss 0.0961 - lr 0.100000 2023-04-06 03:52:02,172 BAD EPOCHS (no improvement): 0 2023-04-06 03:52:02,176 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:52:12,284 epoch 58 - iter 265/2650 - loss 0.09516290 - time (sec): 10.11 - samples/sec: 14479.26 - lr: 0.100000 2023-04-06 03:52:22,486 epoch 58 - iter 530/2650 - loss 0.09404455 - time (sec): 20.31 - samples/sec: 14379.70 - lr: 0.100000 2023-04-06 03:52:32,606 epoch 58 - iter 795/2650 - loss 0.09446420 - time (sec): 30.43 - samples/sec: 14441.70 - lr: 0.100000 2023-04-06 03:52:42,946 epoch 58 - iter 1060/2650 - loss 0.09493658 - time (sec): 40.77 - samples/sec: 14431.77 - lr: 0.100000 2023-04-06 03:52:53,023 epoch 58 - iter 1325/2650 - loss 0.09499376 - time (sec): 50.85 - samples/sec: 14454.48 - lr: 0.100000 2023-04-06 03:53:03,356 epoch 58 - iter 1590/2650 - loss 0.09539367 - time (sec): 61.18 - samples/sec: 14446.16 - lr: 0.100000 2023-04-06 03:53:13,586 epoch 58 - iter 1855/2650 - loss 0.09588581 - time (sec): 71.41 - samples/sec: 14446.84 - lr: 0.100000 2023-04-06 03:53:23,663 epoch 58 - iter 2120/2650 - loss 0.09576639 - time (sec): 81.49 - samples/sec: 14447.06 - lr: 0.100000 2023-04-06 03:53:33,817 epoch 58 - iter 2385/2650 - loss 0.09592059 - time (sec): 91.64 - samples/sec: 14468.63 - lr: 0.100000 2023-04-06 03:53:44,040 epoch 58 - iter 2650/2650 - loss 0.09588228 - time (sec): 101.86 - samples/sec: 14468.48 - lr: 0.100000 2023-04-06 03:53:44,040 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:53:44,040 EPOCH 58 done: loss 0.0959 - lr 0.100000 2023-04-06 03:53:44,040 BAD EPOCHS (no improvement): 0 2023-04-06 03:53:44,044 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:53:54,242 epoch 59 - iter 265/2650 - loss 0.09289589 - time (sec): 10.20 - samples/sec: 14520.96 - lr: 0.100000 2023-04-06 03:54:04,364 epoch 59 - iter 530/2650 - loss 0.09477596 - time (sec): 20.32 - samples/sec: 14504.66 - lr: 0.100000 2023-04-06 03:54:14,466 epoch 59 - iter 795/2650 - loss 0.09480071 - time (sec): 30.42 - samples/sec: 14507.68 - lr: 0.100000 2023-04-06 03:54:24,491 epoch 59 - iter 1060/2650 - loss 0.09530745 - time (sec): 40.45 - samples/sec: 14515.17 - lr: 0.100000 2023-04-06 03:54:34,726 epoch 59 - iter 1325/2650 - loss 0.09533160 - time (sec): 50.68 - samples/sec: 14503.43 - lr: 0.100000 2023-04-06 03:54:44,960 epoch 59 - iter 1590/2650 - loss 0.09568302 - time (sec): 60.92 - samples/sec: 14499.13 - lr: 0.100000 2023-04-06 03:54:55,045 epoch 59 - iter 1855/2650 - loss 0.09543437 - time (sec): 71.00 - samples/sec: 14492.45 - lr: 0.100000 2023-04-06 03:55:05,242 epoch 59 - iter 2120/2650 - loss 0.09537910 - time (sec): 81.20 - samples/sec: 14502.36 - lr: 0.100000 2023-04-06 03:55:15,531 epoch 59 - iter 2385/2650 - loss 0.09589800 - time (sec): 91.49 - samples/sec: 14493.27 - lr: 0.100000 2023-04-06 03:55:25,701 epoch 59 - iter 2650/2650 - loss 0.09579895 - time (sec): 101.66 - samples/sec: 14498.04 - lr: 0.100000 2023-04-06 03:55:25,701 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:55:25,701 EPOCH 59 done: loss 0.0958 - lr 0.100000 2023-04-06 03:55:25,701 BAD EPOCHS (no improvement): 0 2023-04-06 03:55:25,705 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:55:35,899 epoch 60 - iter 265/2650 - loss 0.09420405 - time (sec): 10.19 - samples/sec: 14496.54 - lr: 0.100000 2023-04-06 03:55:46,019 epoch 60 - iter 530/2650 - loss 0.09377646 - time (sec): 20.31 - samples/sec: 14491.91 - lr: 0.100000 2023-04-06 03:55:56,203 epoch 60 - iter 795/2650 - loss 0.09421307 - time (sec): 30.50 - samples/sec: 14482.77 - lr: 0.100000 2023-04-06 03:56:06,325 epoch 60 - iter 1060/2650 - loss 0.09484692 - time (sec): 40.62 - samples/sec: 14503.49 - lr: 0.100000 2023-04-06 03:56:16,560 epoch 60 - iter 1325/2650 - loss 0.09459399 - time (sec): 50.85 - samples/sec: 14494.81 - lr: 0.100000 2023-04-06 03:56:26,686 epoch 60 - iter 1590/2650 - loss 0.09483917 - time (sec): 60.98 - samples/sec: 14502.00 - lr: 0.100000 2023-04-06 03:56:36,879 epoch 60 - iter 1855/2650 - loss 0.09489104 - time (sec): 71.17 - samples/sec: 14482.24 - lr: 0.100000 2023-04-06 03:56:47,042 epoch 60 - iter 2120/2650 - loss 0.09509711 - time (sec): 81.34 - samples/sec: 14492.75 - lr: 0.100000 2023-04-06 03:56:57,288 epoch 60 - iter 2385/2650 - loss 0.09523308 - time (sec): 91.58 - samples/sec: 14496.24 - lr: 0.100000 2023-04-06 03:57:07,484 epoch 60 - iter 2650/2650 - loss 0.09528797 - time (sec): 101.78 - samples/sec: 14480.64 - lr: 0.100000 2023-04-06 03:57:07,485 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:57:07,485 EPOCH 60 done: loss 0.0953 - lr 0.100000 2023-04-06 03:57:07,485 BAD EPOCHS (no improvement): 0 2023-04-06 03:57:07,489 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:57:17,629 epoch 61 - iter 265/2650 - loss 0.09254083 - time (sec): 10.14 - samples/sec: 14442.70 - lr: 0.100000 2023-04-06 03:57:27,910 epoch 61 - iter 530/2650 - loss 0.09217445 - time (sec): 20.42 - samples/sec: 14393.72 - lr: 0.100000 2023-04-06 03:57:38,022 epoch 61 - iter 795/2650 - loss 0.09304948 - time (sec): 30.53 - samples/sec: 14414.47 - lr: 0.100000 2023-04-06 03:57:48,183 epoch 61 - iter 1060/2650 - loss 0.09340662 - time (sec): 40.69 - samples/sec: 14440.92 - lr: 0.100000 2023-04-06 03:57:58,277 epoch 61 - iter 1325/2650 - loss 0.09395428 - time (sec): 50.79 - samples/sec: 14450.60 - lr: 0.100000 2023-04-06 03:58:08,588 epoch 61 - iter 1590/2650 - loss 0.09439016 - time (sec): 61.10 - samples/sec: 14420.43 - lr: 0.100000 2023-04-06 03:58:18,770 epoch 61 - iter 1855/2650 - loss 0.09426182 - time (sec): 71.28 - samples/sec: 14429.59 - lr: 0.100000 2023-04-06 03:58:29,071 epoch 61 - iter 2120/2650 - loss 0.09436156 - time (sec): 81.58 - samples/sec: 14427.26 - lr: 0.100000 2023-04-06 03:58:39,246 epoch 61 - iter 2385/2650 - loss 0.09428534 - time (sec): 91.76 - samples/sec: 14434.74 - lr: 0.100000 2023-04-06 03:58:49,713 epoch 61 - iter 2650/2650 - loss 0.09453470 - time (sec): 102.22 - samples/sec: 14417.53 - lr: 0.100000 2023-04-06 03:58:49,713 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:58:49,713 EPOCH 61 done: loss 0.0945 - lr 0.100000 2023-04-06 03:58:49,713 BAD EPOCHS (no improvement): 0 2023-04-06 03:58:49,720 ---------------------------------------------------------------------------------------------------- 2023-04-06 03:58:59,924 epoch 62 - iter 265/2650 - loss 0.09327108 - time (sec): 10.20 - samples/sec: 14538.69 - lr: 0.100000 2023-04-06 03:59:10,134 epoch 62 - iter 530/2650 - loss 0.09439884 - time (sec): 20.41 - samples/sec: 14506.52 - lr: 0.100000 2023-04-06 03:59:20,428 epoch 62 - iter 795/2650 - loss 0.09429763 - time (sec): 30.71 - samples/sec: 14467.49 - lr: 0.100000 2023-04-06 03:59:30,730 epoch 62 - iter 1060/2650 - loss 0.09432183 - time (sec): 41.01 - samples/sec: 14456.91 - lr: 0.100000 2023-04-06 03:59:40,977 epoch 62 - iter 1325/2650 - loss 0.09443980 - time (sec): 51.26 - samples/sec: 14444.16 - lr: 0.100000 2023-04-06 03:59:51,133 epoch 62 - iter 1590/2650 - loss 0.09457644 - time (sec): 61.41 - samples/sec: 14457.53 - lr: 0.100000 2023-04-06 04:00:01,223 epoch 62 - iter 1855/2650 - loss 0.09452141 - time (sec): 71.50 - samples/sec: 14460.13 - lr: 0.100000 2023-04-06 04:00:11,700 epoch 62 - iter 2120/2650 - loss 0.09492779 - time (sec): 81.98 - samples/sec: 14435.21 - lr: 0.100000 2023-04-06 04:00:21,621 epoch 62 - iter 2385/2650 - loss 0.09496170 - time (sec): 91.90 - samples/sec: 14437.64 - lr: 0.100000 2023-04-06 04:00:31,785 epoch 62 - iter 2650/2650 - loss 0.09493288 - time (sec): 102.06 - samples/sec: 14440.07 - lr: 0.100000 2023-04-06 04:00:31,785 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:00:31,785 EPOCH 62 done: loss 0.0949 - lr 0.100000 2023-04-06 04:00:31,785 BAD EPOCHS (no improvement): 1 2023-04-06 04:00:31,789 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:00:42,026 epoch 63 - iter 265/2650 - loss 0.09369145 - time (sec): 10.24 - samples/sec: 14523.52 - lr: 0.100000 2023-04-06 04:00:52,327 epoch 63 - iter 530/2650 - loss 0.09360541 - time (sec): 20.54 - samples/sec: 14470.32 - lr: 0.100000 2023-04-06 04:01:02,550 epoch 63 - iter 795/2650 - loss 0.09351074 - time (sec): 30.76 - samples/sec: 14452.71 - lr: 0.100000 2023-04-06 04:01:12,671 epoch 63 - iter 1060/2650 - loss 0.09333853 - time (sec): 40.88 - samples/sec: 14444.61 - lr: 0.100000 2023-04-06 04:01:22,964 epoch 63 - iter 1325/2650 - loss 0.09370224 - time (sec): 51.17 - samples/sec: 14424.47 - lr: 0.100000 2023-04-06 04:01:33,228 epoch 63 - iter 1590/2650 - loss 0.09364369 - time (sec): 61.44 - samples/sec: 14432.02 - lr: 0.100000 2023-04-06 04:01:43,408 epoch 63 - iter 1855/2650 - loss 0.09399018 - time (sec): 71.62 - samples/sec: 14445.76 - lr: 0.100000 2023-04-06 04:01:57,550 epoch 63 - iter 2120/2650 - loss 0.09397280 - time (sec): 85.76 - samples/sec: 13753.64 - lr: 0.100000 2023-04-06 04:02:07,712 epoch 63 - iter 2385/2650 - loss 0.09389295 - time (sec): 95.92 - samples/sec: 13840.57 - lr: 0.100000 2023-04-06 04:02:17,740 epoch 63 - iter 2650/2650 - loss 0.09435296 - time (sec): 105.95 - samples/sec: 13910.42 - lr: 0.100000 2023-04-06 04:02:17,740 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:02:17,740 EPOCH 63 done: loss 0.0944 - lr 0.100000 2023-04-06 04:02:17,740 BAD EPOCHS (no improvement): 0 2023-04-06 04:02:17,744 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:02:27,950 epoch 64 - iter 265/2650 - loss 0.09433259 - time (sec): 10.20 - samples/sec: 14400.46 - lr: 0.100000 2023-04-06 04:02:38,090 epoch 64 - iter 530/2650 - loss 0.09325865 - time (sec): 20.35 - samples/sec: 14523.63 - lr: 0.100000 2023-04-06 04:02:48,114 epoch 64 - iter 795/2650 - loss 0.09278355 - time (sec): 30.37 - samples/sec: 14521.11 - lr: 0.100000 2023-04-06 04:02:58,380 epoch 64 - iter 1060/2650 - loss 0.09388605 - time (sec): 40.64 - samples/sec: 14491.07 - lr: 0.100000 2023-04-06 04:03:08,559 epoch 64 - iter 1325/2650 - loss 0.09392504 - time (sec): 50.81 - samples/sec: 14486.07 - lr: 0.100000 2023-04-06 04:03:18,600 epoch 64 - iter 1590/2650 - loss 0.09376735 - time (sec): 60.86 - samples/sec: 14511.09 - lr: 0.100000 2023-04-06 04:03:28,771 epoch 64 - iter 1855/2650 - loss 0.09403017 - time (sec): 71.03 - samples/sec: 14515.03 - lr: 0.100000 2023-04-06 04:03:38,910 epoch 64 - iter 2120/2650 - loss 0.09421549 - time (sec): 81.16 - samples/sec: 14525.18 - lr: 0.100000 2023-04-06 04:03:49,039 epoch 64 - iter 2385/2650 - loss 0.09436820 - time (sec): 91.29 - samples/sec: 14520.82 - lr: 0.100000 2023-04-06 04:03:59,234 epoch 64 - iter 2650/2650 - loss 0.09454694 - time (sec): 101.49 - samples/sec: 14521.99 - lr: 0.100000 2023-04-06 04:03:59,234 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:03:59,234 EPOCH 64 done: loss 0.0945 - lr 0.100000 2023-04-06 04:03:59,234 BAD EPOCHS (no improvement): 1 2023-04-06 04:03:59,238 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:04:09,445 epoch 65 - iter 265/2650 - loss 0.09131859 - time (sec): 10.21 - samples/sec: 14478.81 - lr: 0.100000 2023-04-06 04:04:19,467 epoch 65 - iter 530/2650 - loss 0.09194799 - time (sec): 20.23 - samples/sec: 14526.18 - lr: 0.100000 2023-04-06 04:04:29,632 epoch 65 - iter 795/2650 - loss 0.09335725 - time (sec): 30.39 - samples/sec: 14519.62 - lr: 0.100000 2023-04-06 04:04:39,790 epoch 65 - iter 1060/2650 - loss 0.09345533 - time (sec): 40.55 - samples/sec: 14520.56 - lr: 0.100000 2023-04-06 04:04:50,029 epoch 65 - iter 1325/2650 - loss 0.09359930 - time (sec): 50.79 - samples/sec: 14513.98 - lr: 0.100000 2023-04-06 04:05:00,170 epoch 65 - iter 1590/2650 - loss 0.09397764 - time (sec): 60.93 - samples/sec: 14526.35 - lr: 0.100000 2023-04-06 04:05:10,353 epoch 65 - iter 1855/2650 - loss 0.09402017 - time (sec): 71.11 - samples/sec: 14534.71 - lr: 0.100000 2023-04-06 04:05:20,428 epoch 65 - iter 2120/2650 - loss 0.09376844 - time (sec): 81.19 - samples/sec: 14533.45 - lr: 0.100000 2023-04-06 04:05:30,572 epoch 65 - iter 2385/2650 - loss 0.09374590 - time (sec): 91.33 - samples/sec: 14524.92 - lr: 0.100000 2023-04-06 04:05:40,745 epoch 65 - iter 2650/2650 - loss 0.09375804 - time (sec): 101.51 - samples/sec: 14519.47 - lr: 0.100000 2023-04-06 04:05:40,745 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:05:40,745 EPOCH 65 done: loss 0.0938 - lr 0.100000 2023-04-06 04:05:40,745 BAD EPOCHS (no improvement): 0 2023-04-06 04:05:40,749 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:05:50,701 epoch 66 - iter 265/2650 - loss 0.08954511 - time (sec): 9.95 - samples/sec: 14604.30 - lr: 0.100000 2023-04-06 04:06:00,926 epoch 66 - iter 530/2650 - loss 0.09092455 - time (sec): 20.18 - samples/sec: 14552.56 - lr: 0.100000 2023-04-06 04:06:11,142 epoch 66 - iter 795/2650 - loss 0.09227201 - time (sec): 30.39 - samples/sec: 14506.08 - lr: 0.100000 2023-04-06 04:06:21,588 epoch 66 - iter 1060/2650 - loss 0.09238344 - time (sec): 40.84 - samples/sec: 14409.23 - lr: 0.100000 2023-04-06 04:06:31,832 epoch 66 - iter 1325/2650 - loss 0.09296019 - time (sec): 51.08 - samples/sec: 14408.91 - lr: 0.100000 2023-04-06 04:06:42,251 epoch 66 - iter 1590/2650 - loss 0.09324652 - time (sec): 61.50 - samples/sec: 14378.59 - lr: 0.100000 2023-04-06 04:06:52,524 epoch 66 - iter 1855/2650 - loss 0.09342655 - time (sec): 71.78 - samples/sec: 14373.09 - lr: 0.100000 2023-04-06 04:07:02,804 epoch 66 - iter 2120/2650 - loss 0.09309511 - time (sec): 82.06 - samples/sec: 14367.21 - lr: 0.100000 2023-04-06 04:07:13,045 epoch 66 - iter 2385/2650 - loss 0.09319554 - time (sec): 92.30 - samples/sec: 14361.16 - lr: 0.100000 2023-04-06 04:07:23,392 epoch 66 - iter 2650/2650 - loss 0.09329337 - time (sec): 102.64 - samples/sec: 14358.72 - lr: 0.100000 2023-04-06 04:07:23,392 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:07:23,392 EPOCH 66 done: loss 0.0933 - lr 0.100000 2023-04-06 04:07:23,392 BAD EPOCHS (no improvement): 0 2023-04-06 04:07:23,396 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:07:33,671 epoch 67 - iter 265/2650 - loss 0.09281769 - time (sec): 10.27 - samples/sec: 14419.12 - lr: 0.100000 2023-04-06 04:07:44,066 epoch 67 - iter 530/2650 - loss 0.09250065 - time (sec): 20.67 - samples/sec: 14382.66 - lr: 0.100000 2023-04-06 04:07:54,321 epoch 67 - iter 795/2650 - loss 0.09168825 - time (sec): 30.93 - samples/sec: 14350.46 - lr: 0.100000 2023-04-06 04:08:04,637 epoch 67 - iter 1060/2650 - loss 0.09277832 - time (sec): 41.24 - samples/sec: 14339.24 - lr: 0.100000 2023-04-06 04:08:14,936 epoch 67 - iter 1325/2650 - loss 0.09304300 - time (sec): 51.54 - samples/sec: 14333.88 - lr: 0.100000 2023-04-06 04:08:25,116 epoch 67 - iter 1590/2650 - loss 0.09307971 - time (sec): 61.72 - samples/sec: 14336.50 - lr: 0.100000 2023-04-06 04:08:35,211 epoch 67 - iter 1855/2650 - loss 0.09306137 - time (sec): 71.82 - samples/sec: 14329.76 - lr: 0.100000 2023-04-06 04:08:45,674 epoch 67 - iter 2120/2650 - loss 0.09307567 - time (sec): 82.28 - samples/sec: 14330.93 - lr: 0.100000 2023-04-06 04:08:55,979 epoch 67 - iter 2385/2650 - loss 0.09318599 - time (sec): 92.58 - samples/sec: 14325.49 - lr: 0.100000 2023-04-06 04:09:06,254 epoch 67 - iter 2650/2650 - loss 0.09350696 - time (sec): 102.86 - samples/sec: 14328.69 - lr: 0.100000 2023-04-06 04:09:06,254 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:09:06,254 EPOCH 67 done: loss 0.0935 - lr 0.100000 2023-04-06 04:09:06,254 BAD EPOCHS (no improvement): 1 2023-04-06 04:09:06,260 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:09:16,619 epoch 68 - iter 265/2650 - loss 0.09411261 - time (sec): 10.36 - samples/sec: 14322.21 - lr: 0.100000 2023-04-06 04:09:26,749 epoch 68 - iter 530/2650 - loss 0.09502678 - time (sec): 20.49 - samples/sec: 14374.54 - lr: 0.100000 2023-04-06 04:09:36,957 epoch 68 - iter 795/2650 - loss 0.09341420 - time (sec): 30.70 - samples/sec: 14394.39 - lr: 0.100000 2023-04-06 04:09:47,086 epoch 68 - iter 1060/2650 - loss 0.09347245 - time (sec): 40.83 - samples/sec: 14399.58 - lr: 0.100000 2023-04-06 04:09:57,349 epoch 68 - iter 1325/2650 - loss 0.09308225 - time (sec): 51.09 - samples/sec: 14374.46 - lr: 0.100000 2023-04-06 04:10:07,722 epoch 68 - iter 1590/2650 - loss 0.09323788 - time (sec): 61.46 - samples/sec: 14387.95 - lr: 0.100000 2023-04-06 04:10:17,993 epoch 68 - iter 1855/2650 - loss 0.09318535 - time (sec): 71.73 - samples/sec: 14381.33 - lr: 0.100000 2023-04-06 04:10:28,165 epoch 68 - iter 2120/2650 - loss 0.09299953 - time (sec): 81.90 - samples/sec: 14400.46 - lr: 0.100000 2023-04-06 04:10:38,414 epoch 68 - iter 2385/2650 - loss 0.09314580 - time (sec): 92.15 - samples/sec: 14407.78 - lr: 0.100000 2023-04-06 04:10:48,509 epoch 68 - iter 2650/2650 - loss 0.09317509 - time (sec): 102.25 - samples/sec: 14414.03 - lr: 0.100000 2023-04-06 04:10:48,509 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:10:48,509 EPOCH 68 done: loss 0.0932 - lr 0.100000 2023-04-06 04:10:48,509 BAD EPOCHS (no improvement): 0 2023-04-06 04:10:48,513 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:10:58,667 epoch 69 - iter 265/2650 - loss 0.09048874 - time (sec): 10.15 - samples/sec: 14445.50 - lr: 0.100000 2023-04-06 04:11:08,870 epoch 69 - iter 530/2650 - loss 0.09125774 - time (sec): 20.36 - samples/sec: 14480.49 - lr: 0.100000 2023-04-06 04:11:18,966 epoch 69 - iter 795/2650 - loss 0.09229100 - time (sec): 30.45 - samples/sec: 14505.02 - lr: 0.100000 2023-04-06 04:11:29,165 epoch 69 - iter 1060/2650 - loss 0.09286190 - time (sec): 40.65 - samples/sec: 14501.95 - lr: 0.100000 2023-04-06 04:11:39,290 epoch 69 - iter 1325/2650 - loss 0.09291963 - time (sec): 50.78 - samples/sec: 14500.06 - lr: 0.100000 2023-04-06 04:11:49,499 epoch 69 - iter 1590/2650 - loss 0.09312472 - time (sec): 60.99 - samples/sec: 14487.61 - lr: 0.100000 2023-04-06 04:11:59,750 epoch 69 - iter 1855/2650 - loss 0.09297419 - time (sec): 71.24 - samples/sec: 14468.68 - lr: 0.100000 2023-04-06 04:12:09,972 epoch 69 - iter 2120/2650 - loss 0.09290360 - time (sec): 81.46 - samples/sec: 14468.19 - lr: 0.100000 2023-04-06 04:12:24,217 epoch 69 - iter 2385/2650 - loss 0.09304509 - time (sec): 95.70 - samples/sec: 13835.09 - lr: 0.100000 2023-04-06 04:12:34,466 epoch 69 - iter 2650/2650 - loss 0.09269205 - time (sec): 105.95 - samples/sec: 13910.23 - lr: 0.100000 2023-04-06 04:12:34,466 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:12:34,466 EPOCH 69 done: loss 0.0927 - lr 0.100000 2023-04-06 04:12:34,466 BAD EPOCHS (no improvement): 0 2023-04-06 04:12:34,469 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:12:44,407 epoch 70 - iter 265/2650 - loss 0.08918612 - time (sec): 9.94 - samples/sec: 14605.82 - lr: 0.100000 2023-04-06 04:12:54,535 epoch 70 - iter 530/2650 - loss 0.08981270 - time (sec): 20.07 - samples/sec: 14558.20 - lr: 0.100000 2023-04-06 04:13:04,676 epoch 70 - iter 795/2650 - loss 0.09000592 - time (sec): 30.21 - samples/sec: 14536.35 - lr: 0.100000 2023-04-06 04:13:14,943 epoch 70 - iter 1060/2650 - loss 0.09025327 - time (sec): 40.47 - samples/sec: 14510.91 - lr: 0.100000 2023-04-06 04:13:25,164 epoch 70 - iter 1325/2650 - loss 0.09051947 - time (sec): 50.69 - samples/sec: 14514.06 - lr: 0.100000 2023-04-06 04:13:35,297 epoch 70 - iter 1590/2650 - loss 0.09050660 - time (sec): 60.83 - samples/sec: 14500.54 - lr: 0.100000 2023-04-06 04:13:45,393 epoch 70 - iter 1855/2650 - loss 0.09124731 - time (sec): 70.92 - samples/sec: 14512.12 - lr: 0.100000 2023-04-06 04:13:55,593 epoch 70 - iter 2120/2650 - loss 0.09148541 - time (sec): 81.12 - samples/sec: 14497.86 - lr: 0.100000 2023-04-06 04:14:05,808 epoch 70 - iter 2385/2650 - loss 0.09177303 - time (sec): 91.34 - samples/sec: 14504.63 - lr: 0.100000 2023-04-06 04:14:16,156 epoch 70 - iter 2650/2650 - loss 0.09199457 - time (sec): 101.69 - samples/sec: 14493.74 - lr: 0.100000 2023-04-06 04:14:16,157 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:14:16,157 EPOCH 70 done: loss 0.0920 - lr 0.100000 2023-04-06 04:14:16,157 BAD EPOCHS (no improvement): 0 2023-04-06 04:14:16,161 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:14:26,369 epoch 71 - iter 265/2650 - loss 0.08987095 - time (sec): 10.21 - samples/sec: 14601.26 - lr: 0.100000 2023-04-06 04:14:36,620 epoch 71 - iter 530/2650 - loss 0.09038876 - time (sec): 20.46 - samples/sec: 14540.35 - lr: 0.100000 2023-04-06 04:14:46,790 epoch 71 - iter 795/2650 - loss 0.09106839 - time (sec): 30.63 - samples/sec: 14507.54 - lr: 0.100000 2023-04-06 04:14:57,062 epoch 71 - iter 1060/2650 - loss 0.09094524 - time (sec): 40.90 - samples/sec: 14492.42 - lr: 0.100000 2023-04-06 04:15:07,240 epoch 71 - iter 1325/2650 - loss 0.09096297 - time (sec): 51.08 - samples/sec: 14505.94 - lr: 0.100000 2023-04-06 04:15:17,365 epoch 71 - iter 1590/2650 - loss 0.09155723 - time (sec): 61.20 - samples/sec: 14505.86 - lr: 0.100000 2023-04-06 04:15:27,473 epoch 71 - iter 1855/2650 - loss 0.09179258 - time (sec): 71.31 - samples/sec: 14509.29 - lr: 0.100000 2023-04-06 04:15:37,722 epoch 71 - iter 2120/2650 - loss 0.09219347 - time (sec): 81.56 - samples/sec: 14494.63 - lr: 0.100000 2023-04-06 04:15:47,738 epoch 71 - iter 2385/2650 - loss 0.09222124 - time (sec): 91.58 - samples/sec: 14501.97 - lr: 0.100000 2023-04-06 04:15:57,834 epoch 71 - iter 2650/2650 - loss 0.09224161 - time (sec): 101.67 - samples/sec: 14495.72 - lr: 0.100000 2023-04-06 04:15:57,834 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:15:57,834 EPOCH 71 done: loss 0.0922 - lr 0.100000 2023-04-06 04:15:57,834 BAD EPOCHS (no improvement): 1 2023-04-06 04:15:57,837 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:16:08,131 epoch 72 - iter 265/2650 - loss 0.09040554 - time (sec): 10.29 - samples/sec: 14436.75 - lr: 0.100000 2023-04-06 04:16:18,216 epoch 72 - iter 530/2650 - loss 0.08965582 - time (sec): 20.38 - samples/sec: 14522.22 - lr: 0.100000 2023-04-06 04:16:28,468 epoch 72 - iter 795/2650 - loss 0.08956752 - time (sec): 30.63 - samples/sec: 14500.00 - lr: 0.100000 2023-04-06 04:16:38,449 epoch 72 - iter 1060/2650 - loss 0.09014766 - time (sec): 40.61 - samples/sec: 14526.64 - lr: 0.100000 2023-04-06 04:16:48,647 epoch 72 - iter 1325/2650 - loss 0.09078679 - time (sec): 50.81 - samples/sec: 14512.86 - lr: 0.100000 2023-04-06 04:16:58,736 epoch 72 - iter 1590/2650 - loss 0.09148872 - time (sec): 60.90 - samples/sec: 14513.04 - lr: 0.100000 2023-04-06 04:17:08,960 epoch 72 - iter 1855/2650 - loss 0.09144408 - time (sec): 71.12 - samples/sec: 14485.47 - lr: 0.100000 2023-04-06 04:17:19,352 epoch 72 - iter 2120/2650 - loss 0.09150036 - time (sec): 81.51 - samples/sec: 14465.08 - lr: 0.100000 2023-04-06 04:17:29,616 epoch 72 - iter 2385/2650 - loss 0.09157609 - time (sec): 91.78 - samples/sec: 14457.45 - lr: 0.100000 2023-04-06 04:17:39,810 epoch 72 - iter 2650/2650 - loss 0.09151922 - time (sec): 101.97 - samples/sec: 14453.03 - lr: 0.100000 2023-04-06 04:17:39,811 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:17:39,811 EPOCH 72 done: loss 0.0915 - lr 0.100000 2023-04-06 04:17:39,811 BAD EPOCHS (no improvement): 0 2023-04-06 04:17:39,815 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:17:49,924 epoch 73 - iter 265/2650 - loss 0.09029847 - time (sec): 10.11 - samples/sec: 14431.05 - lr: 0.100000 2023-04-06 04:18:00,149 epoch 73 - iter 530/2650 - loss 0.09063659 - time (sec): 20.33 - samples/sec: 14461.25 - lr: 0.100000 2023-04-06 04:18:10,484 epoch 73 - iter 795/2650 - loss 0.09054764 - time (sec): 30.67 - samples/sec: 14399.93 - lr: 0.100000 2023-04-06 04:18:20,610 epoch 73 - iter 1060/2650 - loss 0.09016852 - time (sec): 40.79 - samples/sec: 14434.34 - lr: 0.100000 2023-04-06 04:18:30,882 epoch 73 - iter 1325/2650 - loss 0.09118376 - time (sec): 51.07 - samples/sec: 14429.41 - lr: 0.100000 2023-04-06 04:18:41,153 epoch 73 - iter 1590/2650 - loss 0.09175331 - time (sec): 61.34 - samples/sec: 14421.35 - lr: 0.100000 2023-04-06 04:18:51,357 epoch 73 - iter 1855/2650 - loss 0.09157526 - time (sec): 71.54 - samples/sec: 14428.74 - lr: 0.100000 2023-04-06 04:19:01,480 epoch 73 - iter 2120/2650 - loss 0.09123422 - time (sec): 81.66 - samples/sec: 14443.46 - lr: 0.100000 2023-04-06 04:19:11,741 epoch 73 - iter 2385/2650 - loss 0.09146531 - time (sec): 91.93 - samples/sec: 14442.76 - lr: 0.100000 2023-04-06 04:19:21,809 epoch 73 - iter 2650/2650 - loss 0.09152525 - time (sec): 101.99 - samples/sec: 14450.05 - lr: 0.100000 2023-04-06 04:19:21,810 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:19:21,810 EPOCH 73 done: loss 0.0915 - lr 0.100000 2023-04-06 04:19:21,810 BAD EPOCHS (no improvement): 1 2023-04-06 04:19:21,817 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:19:32,032 epoch 74 - iter 265/2650 - loss 0.09171549 - time (sec): 10.21 - samples/sec: 14484.39 - lr: 0.100000 2023-04-06 04:19:42,329 epoch 74 - iter 530/2650 - loss 0.09084298 - time (sec): 20.51 - samples/sec: 14464.07 - lr: 0.100000 2023-04-06 04:19:52,420 epoch 74 - iter 795/2650 - loss 0.09144970 - time (sec): 30.60 - samples/sec: 14463.71 - lr: 0.100000 2023-04-06 04:20:02,683 epoch 74 - iter 1060/2650 - loss 0.09165401 - time (sec): 40.86 - samples/sec: 14453.45 - lr: 0.100000 2023-04-06 04:20:12,931 epoch 74 - iter 1325/2650 - loss 0.09150483 - time (sec): 51.11 - samples/sec: 14458.63 - lr: 0.100000 2023-04-06 04:20:23,167 epoch 74 - iter 1590/2650 - loss 0.09142535 - time (sec): 61.35 - samples/sec: 14465.98 - lr: 0.100000 2023-04-06 04:20:33,249 epoch 74 - iter 1855/2650 - loss 0.09142134 - time (sec): 71.43 - samples/sec: 14460.82 - lr: 0.100000 2023-04-06 04:20:43,439 epoch 74 - iter 2120/2650 - loss 0.09160474 - time (sec): 81.62 - samples/sec: 14445.65 - lr: 0.100000 2023-04-06 04:20:53,630 epoch 74 - iter 2385/2650 - loss 0.09140863 - time (sec): 91.81 - samples/sec: 14451.30 - lr: 0.100000 2023-04-06 04:21:03,913 epoch 74 - iter 2650/2650 - loss 0.09134285 - time (sec): 102.10 - samples/sec: 14435.69 - lr: 0.100000 2023-04-06 04:21:03,914 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:21:03,914 EPOCH 74 done: loss 0.0913 - lr 0.100000 2023-04-06 04:21:03,914 BAD EPOCHS (no improvement): 0 2023-04-06 04:21:03,918 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:21:14,133 epoch 75 - iter 265/2650 - loss 0.08788198 - time (sec): 10.22 - samples/sec: 14460.41 - lr: 0.100000 2023-04-06 04:21:24,328 epoch 75 - iter 530/2650 - loss 0.08925181 - time (sec): 20.41 - samples/sec: 14408.35 - lr: 0.100000 2023-04-06 04:21:34,593 epoch 75 - iter 795/2650 - loss 0.08953673 - time (sec): 30.68 - samples/sec: 14400.38 - lr: 0.100000 2023-04-06 04:21:44,801 epoch 75 - iter 1060/2650 - loss 0.09066961 - time (sec): 40.88 - samples/sec: 14415.65 - lr: 0.100000 2023-04-06 04:21:54,921 epoch 75 - iter 1325/2650 - loss 0.09074201 - time (sec): 51.00 - samples/sec: 14448.73 - lr: 0.100000 2023-04-06 04:22:05,191 epoch 75 - iter 1590/2650 - loss 0.09077918 - time (sec): 61.27 - samples/sec: 14422.43 - lr: 0.100000 2023-04-06 04:22:15,469 epoch 75 - iter 1855/2650 - loss 0.09097050 - time (sec): 71.55 - samples/sec: 14425.30 - lr: 0.100000 2023-04-06 04:22:25,731 epoch 75 - iter 2120/2650 - loss 0.09110485 - time (sec): 81.81 - samples/sec: 14423.87 - lr: 0.100000 2023-04-06 04:22:35,863 epoch 75 - iter 2385/2650 - loss 0.09127782 - time (sec): 91.95 - samples/sec: 14434.70 - lr: 0.100000 2023-04-06 04:22:45,962 epoch 75 - iter 2650/2650 - loss 0.09136324 - time (sec): 102.04 - samples/sec: 14442.93 - lr: 0.100000 2023-04-06 04:22:45,963 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:22:45,963 EPOCH 75 done: loss 0.0914 - lr 0.100000 2023-04-06 04:22:45,963 BAD EPOCHS (no improvement): 1 2023-04-06 04:22:45,967 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:23:00,412 epoch 76 - iter 265/2650 - loss 0.08812318 - time (sec): 14.44 - samples/sec: 10334.99 - lr: 0.100000 2023-04-06 04:23:10,642 epoch 76 - iter 530/2650 - loss 0.08912671 - time (sec): 24.67 - samples/sec: 12079.26 - lr: 0.100000 2023-04-06 04:23:20,790 epoch 76 - iter 795/2650 - loss 0.08903704 - time (sec): 34.82 - samples/sec: 12786.49 - lr: 0.100000 2023-04-06 04:23:30,844 epoch 76 - iter 1060/2650 - loss 0.08993708 - time (sec): 44.88 - samples/sec: 13167.43 - lr: 0.100000 2023-04-06 04:23:40,888 epoch 76 - iter 1325/2650 - loss 0.09035288 - time (sec): 54.92 - samples/sec: 13417.98 - lr: 0.100000 2023-04-06 04:23:51,058 epoch 76 - iter 1590/2650 - loss 0.09066339 - time (sec): 65.09 - samples/sec: 13588.42 - lr: 0.100000 2023-04-06 04:24:01,260 epoch 76 - iter 1855/2650 - loss 0.09070726 - time (sec): 75.29 - samples/sec: 13700.13 - lr: 0.100000 2023-04-06 04:24:11,508 epoch 76 - iter 2120/2650 - loss 0.09065398 - time (sec): 85.54 - samples/sec: 13779.03 - lr: 0.100000 2023-04-06 04:24:21,801 epoch 76 - iter 2385/2650 - loss 0.09092510 - time (sec): 95.83 - samples/sec: 13837.72 - lr: 0.100000 2023-04-06 04:24:32,037 epoch 76 - iter 2650/2650 - loss 0.09105979 - time (sec): 106.07 - samples/sec: 13894.82 - lr: 0.100000 2023-04-06 04:24:32,037 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:24:32,037 EPOCH 76 done: loss 0.0911 - lr 0.100000 2023-04-06 04:24:32,037 BAD EPOCHS (no improvement): 0 2023-04-06 04:24:32,041 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:24:42,325 epoch 77 - iter 265/2650 - loss 0.09044634 - time (sec): 10.28 - samples/sec: 14404.29 - lr: 0.100000 2023-04-06 04:24:52,525 epoch 77 - iter 530/2650 - loss 0.08912198 - time (sec): 20.48 - samples/sec: 14414.06 - lr: 0.100000 2023-04-06 04:25:02,788 epoch 77 - iter 795/2650 - loss 0.08898236 - time (sec): 30.75 - samples/sec: 14391.73 - lr: 0.100000 2023-04-06 04:25:12,908 epoch 77 - iter 1060/2650 - loss 0.08922383 - time (sec): 40.87 - samples/sec: 14424.18 - lr: 0.100000 2023-04-06 04:25:23,050 epoch 77 - iter 1325/2650 - loss 0.08992857 - time (sec): 51.01 - samples/sec: 14422.78 - lr: 0.100000 2023-04-06 04:25:33,210 epoch 77 - iter 1590/2650 - loss 0.09025853 - time (sec): 61.17 - samples/sec: 14440.61 - lr: 0.100000 2023-04-06 04:25:43,506 epoch 77 - iter 1855/2650 - loss 0.09030122 - time (sec): 71.46 - samples/sec: 14452.65 - lr: 0.100000 2023-04-06 04:25:53,634 epoch 77 - iter 2120/2650 - loss 0.09048242 - time (sec): 81.59 - samples/sec: 14473.41 - lr: 0.100000 2023-04-06 04:26:03,725 epoch 77 - iter 2385/2650 - loss 0.09054973 - time (sec): 91.68 - samples/sec: 14479.05 - lr: 0.100000 2023-04-06 04:26:13,754 epoch 77 - iter 2650/2650 - loss 0.09074831 - time (sec): 101.71 - samples/sec: 14490.07 - lr: 0.100000 2023-04-06 04:26:13,754 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:26:13,754 EPOCH 77 done: loss 0.0907 - lr 0.100000 2023-04-06 04:26:13,754 BAD EPOCHS (no improvement): 0 2023-04-06 04:26:13,758 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:26:23,802 epoch 78 - iter 265/2650 - loss 0.08763843 - time (sec): 10.04 - samples/sec: 14527.71 - lr: 0.100000 2023-04-06 04:26:34,089 epoch 78 - iter 530/2650 - loss 0.08940872 - time (sec): 20.33 - samples/sec: 14472.45 - lr: 0.100000 2023-04-06 04:26:44,543 epoch 78 - iter 795/2650 - loss 0.08946774 - time (sec): 30.78 - samples/sec: 14438.36 - lr: 0.100000 2023-04-06 04:26:54,825 epoch 78 - iter 1060/2650 - loss 0.08998604 - time (sec): 41.07 - samples/sec: 14416.96 - lr: 0.100000 2023-04-06 04:27:04,945 epoch 78 - iter 1325/2650 - loss 0.08990088 - time (sec): 51.19 - samples/sec: 14418.47 - lr: 0.100000 2023-04-06 04:27:15,130 epoch 78 - iter 1590/2650 - loss 0.08971696 - time (sec): 61.37 - samples/sec: 14437.57 - lr: 0.100000 2023-04-06 04:27:25,383 epoch 78 - iter 1855/2650 - loss 0.08984242 - time (sec): 71.62 - samples/sec: 14431.40 - lr: 0.100000 2023-04-06 04:27:35,530 epoch 78 - iter 2120/2650 - loss 0.09009775 - time (sec): 81.77 - samples/sec: 14429.47 - lr: 0.100000 2023-04-06 04:27:45,620 epoch 78 - iter 2385/2650 - loss 0.09013786 - time (sec): 91.86 - samples/sec: 14434.01 - lr: 0.100000 2023-04-06 04:27:55,889 epoch 78 - iter 2650/2650 - loss 0.09026931 - time (sec): 102.13 - samples/sec: 14430.67 - lr: 0.100000 2023-04-06 04:27:55,890 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:27:55,890 EPOCH 78 done: loss 0.0903 - lr 0.100000 2023-04-06 04:27:55,890 BAD EPOCHS (no improvement): 0 2023-04-06 04:27:55,894 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:28:06,113 epoch 79 - iter 265/2650 - loss 0.09286065 - time (sec): 10.22 - samples/sec: 14527.52 - lr: 0.100000 2023-04-06 04:28:16,218 epoch 79 - iter 530/2650 - loss 0.09068622 - time (sec): 20.32 - samples/sec: 14447.48 - lr: 0.100000 2023-04-06 04:28:26,347 epoch 79 - iter 795/2650 - loss 0.09067542 - time (sec): 30.45 - samples/sec: 14464.19 - lr: 0.100000 2023-04-06 04:28:36,639 epoch 79 - iter 1060/2650 - loss 0.09043994 - time (sec): 40.74 - samples/sec: 14479.20 - lr: 0.100000 2023-04-06 04:28:46,640 epoch 79 - iter 1325/2650 - loss 0.09047346 - time (sec): 50.75 - samples/sec: 14488.83 - lr: 0.100000 2023-04-06 04:28:56,834 epoch 79 - iter 1590/2650 - loss 0.09022128 - time (sec): 60.94 - samples/sec: 14496.72 - lr: 0.100000 2023-04-06 04:29:06,918 epoch 79 - iter 1855/2650 - loss 0.09009059 - time (sec): 71.02 - samples/sec: 14517.94 - lr: 0.100000 2023-04-06 04:29:17,090 epoch 79 - iter 2120/2650 - loss 0.09001318 - time (sec): 81.20 - samples/sec: 14521.70 - lr: 0.100000 2023-04-06 04:29:27,141 epoch 79 - iter 2385/2650 - loss 0.08980393 - time (sec): 91.25 - samples/sec: 14527.46 - lr: 0.100000 2023-04-06 04:29:37,388 epoch 79 - iter 2650/2650 - loss 0.09010633 - time (sec): 101.49 - samples/sec: 14521.30 - lr: 0.100000 2023-04-06 04:29:37,389 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:29:37,389 EPOCH 79 done: loss 0.0901 - lr 0.100000 2023-04-06 04:29:37,389 BAD EPOCHS (no improvement): 0 2023-04-06 04:29:37,396 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:29:47,461 epoch 80 - iter 265/2650 - loss 0.08754027 - time (sec): 10.07 - samples/sec: 14570.09 - lr: 0.100000 2023-04-06 04:29:57,600 epoch 80 - iter 530/2650 - loss 0.08888185 - time (sec): 20.20 - samples/sec: 14558.11 - lr: 0.100000 2023-04-06 04:30:07,780 epoch 80 - iter 795/2650 - loss 0.08843406 - time (sec): 30.38 - samples/sec: 14551.05 - lr: 0.100000 2023-04-06 04:30:18,066 epoch 80 - iter 1060/2650 - loss 0.08865428 - time (sec): 40.67 - samples/sec: 14516.79 - lr: 0.100000 2023-04-06 04:30:28,216 epoch 80 - iter 1325/2650 - loss 0.08878725 - time (sec): 50.82 - samples/sec: 14517.29 - lr: 0.100000 2023-04-06 04:30:38,330 epoch 80 - iter 1590/2650 - loss 0.08903230 - time (sec): 60.93 - samples/sec: 14524.82 - lr: 0.100000 2023-04-06 04:30:48,447 epoch 80 - iter 1855/2650 - loss 0.08889945 - time (sec): 71.05 - samples/sec: 14536.79 - lr: 0.100000 2023-04-06 04:30:58,574 epoch 80 - iter 2120/2650 - loss 0.08887894 - time (sec): 81.18 - samples/sec: 14540.55 - lr: 0.100000 2023-04-06 04:31:08,717 epoch 80 - iter 2385/2650 - loss 0.08921566 - time (sec): 91.32 - samples/sec: 14535.91 - lr: 0.100000 2023-04-06 04:31:18,865 epoch 80 - iter 2650/2650 - loss 0.08938123 - time (sec): 101.47 - samples/sec: 14524.96 - lr: 0.100000 2023-04-06 04:31:18,865 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:31:18,865 EPOCH 80 done: loss 0.0894 - lr 0.100000 2023-04-06 04:31:18,865 BAD EPOCHS (no improvement): 0 2023-04-06 04:31:18,868 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:31:28,855 epoch 81 - iter 265/2650 - loss 0.08805005 - time (sec): 9.99 - samples/sec: 14637.49 - lr: 0.100000 2023-04-06 04:31:39,155 epoch 81 - iter 530/2650 - loss 0.08867173 - time (sec): 20.29 - samples/sec: 14566.52 - lr: 0.100000 2023-04-06 04:31:49,367 epoch 81 - iter 795/2650 - loss 0.08795342 - time (sec): 30.50 - samples/sec: 14505.48 - lr: 0.100000 2023-04-06 04:31:59,708 epoch 81 - iter 1060/2650 - loss 0.08867225 - time (sec): 40.84 - samples/sec: 14521.62 - lr: 0.100000 2023-04-06 04:32:09,929 epoch 81 - iter 1325/2650 - loss 0.08913092 - time (sec): 51.06 - samples/sec: 14495.27 - lr: 0.100000 2023-04-06 04:32:19,925 epoch 81 - iter 1590/2650 - loss 0.08914534 - time (sec): 61.06 - samples/sec: 14492.29 - lr: 0.100000 2023-04-06 04:32:30,069 epoch 81 - iter 1855/2650 - loss 0.08955207 - time (sec): 71.20 - samples/sec: 14485.88 - lr: 0.100000 2023-04-06 04:32:40,428 epoch 81 - iter 2120/2650 - loss 0.08959358 - time (sec): 81.56 - samples/sec: 14474.05 - lr: 0.100000 2023-04-06 04:32:50,646 epoch 81 - iter 2385/2650 - loss 0.08964951 - time (sec): 91.78 - samples/sec: 14463.32 - lr: 0.100000 2023-04-06 04:33:00,690 epoch 81 - iter 2650/2650 - loss 0.08985024 - time (sec): 101.82 - samples/sec: 14474.58 - lr: 0.100000 2023-04-06 04:33:00,690 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:33:00,690 EPOCH 81 done: loss 0.0899 - lr 0.100000 2023-04-06 04:33:00,690 BAD EPOCHS (no improvement): 1 2023-04-06 04:33:00,695 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:33:10,981 epoch 82 - iter 265/2650 - loss 0.09134360 - time (sec): 10.29 - samples/sec: 14476.28 - lr: 0.100000 2023-04-06 04:33:21,196 epoch 82 - iter 530/2650 - loss 0.09056674 - time (sec): 20.50 - samples/sec: 14457.05 - lr: 0.100000 2023-04-06 04:33:35,829 epoch 82 - iter 795/2650 - loss 0.08973422 - time (sec): 35.13 - samples/sec: 12656.30 - lr: 0.100000 2023-04-06 04:33:46,052 epoch 82 - iter 1060/2650 - loss 0.08972652 - time (sec): 45.36 - samples/sec: 13057.74 - lr: 0.100000 2023-04-06 04:33:56,182 epoch 82 - iter 1325/2650 - loss 0.08970175 - time (sec): 55.49 - samples/sec: 13317.11 - lr: 0.100000 2023-04-06 04:34:06,321 epoch 82 - iter 1590/2650 - loss 0.08980760 - time (sec): 65.63 - samples/sec: 13487.92 - lr: 0.100000 2023-04-06 04:34:16,412 epoch 82 - iter 1855/2650 - loss 0.08984274 - time (sec): 75.72 - samples/sec: 13613.27 - lr: 0.100000 2023-04-06 04:34:26,562 epoch 82 - iter 2120/2650 - loss 0.08986488 - time (sec): 85.87 - samples/sec: 13716.42 - lr: 0.100000 2023-04-06 04:34:36,832 epoch 82 - iter 2385/2650 - loss 0.08988644 - time (sec): 96.14 - samples/sec: 13783.85 - lr: 0.100000 2023-04-06 04:34:47,205 epoch 82 - iter 2650/2650 - loss 0.09018965 - time (sec): 106.51 - samples/sec: 13837.36 - lr: 0.100000 2023-04-06 04:34:47,206 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:34:47,206 EPOCH 82 done: loss 0.0902 - lr 0.100000 2023-04-06 04:34:47,206 BAD EPOCHS (no improvement): 2 2023-04-06 04:34:47,210 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:34:57,279 epoch 83 - iter 265/2650 - loss 0.08920100 - time (sec): 10.07 - samples/sec: 14505.17 - lr: 0.100000 2023-04-06 04:35:07,547 epoch 83 - iter 530/2650 - loss 0.08763085 - time (sec): 20.34 - samples/sec: 14472.29 - lr: 0.100000 2023-04-06 04:35:17,615 epoch 83 - iter 795/2650 - loss 0.08707666 - time (sec): 30.41 - samples/sec: 14455.27 - lr: 0.100000 2023-04-06 04:35:27,904 epoch 83 - iter 1060/2650 - loss 0.08786022 - time (sec): 40.69 - samples/sec: 14438.36 - lr: 0.100000 2023-04-06 04:35:38,232 epoch 83 - iter 1325/2650 - loss 0.08809630 - time (sec): 51.02 - samples/sec: 14425.53 - lr: 0.100000 2023-04-06 04:35:48,523 epoch 83 - iter 1590/2650 - loss 0.08847112 - time (sec): 61.31 - samples/sec: 14432.29 - lr: 0.100000 2023-04-06 04:35:58,627 epoch 83 - iter 1855/2650 - loss 0.08839780 - time (sec): 71.42 - samples/sec: 14446.44 - lr: 0.100000 2023-04-06 04:36:08,941 epoch 83 - iter 2120/2650 - loss 0.08836218 - time (sec): 81.73 - samples/sec: 14443.64 - lr: 0.100000 2023-04-06 04:36:19,076 epoch 83 - iter 2385/2650 - loss 0.08854310 - time (sec): 91.87 - samples/sec: 14439.06 - lr: 0.100000 2023-04-06 04:36:29,252 epoch 83 - iter 2650/2650 - loss 0.08896868 - time (sec): 102.04 - samples/sec: 14443.29 - lr: 0.100000 2023-04-06 04:36:29,252 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:36:29,252 EPOCH 83 done: loss 0.0890 - lr 0.100000 2023-04-06 04:36:29,252 BAD EPOCHS (no improvement): 0 2023-04-06 04:36:29,256 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:36:39,313 epoch 84 - iter 265/2650 - loss 0.08877390 - time (sec): 10.06 - samples/sec: 14493.64 - lr: 0.100000 2023-04-06 04:36:49,635 epoch 84 - iter 530/2650 - loss 0.08947744 - time (sec): 20.38 - samples/sec: 14405.32 - lr: 0.100000 2023-04-06 04:36:59,861 epoch 84 - iter 795/2650 - loss 0.08875911 - time (sec): 30.60 - samples/sec: 14391.34 - lr: 0.100000 2023-04-06 04:37:10,139 epoch 84 - iter 1060/2650 - loss 0.08833885 - time (sec): 40.88 - samples/sec: 14387.15 - lr: 0.100000 2023-04-06 04:37:20,358 epoch 84 - iter 1325/2650 - loss 0.08884855 - time (sec): 51.10 - samples/sec: 14398.89 - lr: 0.100000 2023-04-06 04:37:30,630 epoch 84 - iter 1590/2650 - loss 0.08873414 - time (sec): 61.37 - samples/sec: 14401.21 - lr: 0.100000 2023-04-06 04:37:40,813 epoch 84 - iter 1855/2650 - loss 0.08915535 - time (sec): 71.56 - samples/sec: 14413.21 - lr: 0.100000 2023-04-06 04:37:51,134 epoch 84 - iter 2120/2650 - loss 0.08927585 - time (sec): 81.88 - samples/sec: 14396.52 - lr: 0.100000 2023-04-06 04:38:01,365 epoch 84 - iter 2385/2650 - loss 0.08947641 - time (sec): 92.11 - samples/sec: 14399.58 - lr: 0.100000 2023-04-06 04:38:11,631 epoch 84 - iter 2650/2650 - loss 0.08964787 - time (sec): 102.37 - samples/sec: 14396.39 - lr: 0.100000 2023-04-06 04:38:11,631 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:38:11,631 EPOCH 84 done: loss 0.0896 - lr 0.100000 2023-04-06 04:38:11,631 BAD EPOCHS (no improvement): 1 2023-04-06 04:38:11,635 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:38:21,992 epoch 85 - iter 265/2650 - loss 0.08758184 - time (sec): 10.36 - samples/sec: 14422.17 - lr: 0.100000 2023-04-06 04:38:32,289 epoch 85 - iter 530/2650 - loss 0.08727258 - time (sec): 20.65 - samples/sec: 14390.37 - lr: 0.100000 2023-04-06 04:38:42,622 epoch 85 - iter 795/2650 - loss 0.08861359 - time (sec): 30.99 - samples/sec: 14378.59 - lr: 0.100000 2023-04-06 04:38:52,884 epoch 85 - iter 1060/2650 - loss 0.08848816 - time (sec): 41.25 - samples/sec: 14366.12 - lr: 0.100000 2023-04-06 04:39:03,106 epoch 85 - iter 1325/2650 - loss 0.08834582 - time (sec): 51.47 - samples/sec: 14387.72 - lr: 0.100000 2023-04-06 04:39:13,173 epoch 85 - iter 1590/2650 - loss 0.08832801 - time (sec): 61.54 - samples/sec: 14395.01 - lr: 0.100000 2023-04-06 04:39:23,500 epoch 85 - iter 1855/2650 - loss 0.08857438 - time (sec): 71.87 - samples/sec: 14387.35 - lr: 0.100000 2023-04-06 04:39:33,614 epoch 85 - iter 2120/2650 - loss 0.08871166 - time (sec): 81.98 - samples/sec: 14391.65 - lr: 0.100000 2023-04-06 04:39:43,785 epoch 85 - iter 2385/2650 - loss 0.08884937 - time (sec): 92.15 - samples/sec: 14389.41 - lr: 0.100000 2023-04-06 04:39:54,051 epoch 85 - iter 2650/2650 - loss 0.08886541 - time (sec): 102.42 - samples/sec: 14390.53 - lr: 0.100000 2023-04-06 04:39:54,051 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:39:54,051 EPOCH 85 done: loss 0.0889 - lr 0.100000 2023-04-06 04:39:54,051 BAD EPOCHS (no improvement): 0 2023-04-06 04:39:54,056 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:40:04,357 epoch 86 - iter 265/2650 - loss 0.08664919 - time (sec): 10.30 - samples/sec: 14295.61 - lr: 0.100000 2023-04-06 04:40:14,395 epoch 86 - iter 530/2650 - loss 0.08674092 - time (sec): 20.34 - samples/sec: 14443.42 - lr: 0.100000 2023-04-06 04:40:24,696 epoch 86 - iter 795/2650 - loss 0.08767412 - time (sec): 30.64 - samples/sec: 14452.80 - lr: 0.100000 2023-04-06 04:40:34,831 epoch 86 - iter 1060/2650 - loss 0.08797722 - time (sec): 40.78 - samples/sec: 14500.35 - lr: 0.100000 2023-04-06 04:40:45,161 epoch 86 - iter 1325/2650 - loss 0.08848584 - time (sec): 51.11 - samples/sec: 14518.93 - lr: 0.100000 2023-04-06 04:40:55,174 epoch 86 - iter 1590/2650 - loss 0.08871684 - time (sec): 61.12 - samples/sec: 14528.91 - lr: 0.100000 2023-04-06 04:41:05,383 epoch 86 - iter 1855/2650 - loss 0.08901880 - time (sec): 71.33 - samples/sec: 14509.90 - lr: 0.100000 2023-04-06 04:41:15,567 epoch 86 - iter 2120/2650 - loss 0.08876488 - time (sec): 81.51 - samples/sec: 14503.07 - lr: 0.100000 2023-04-06 04:41:25,675 epoch 86 - iter 2385/2650 - loss 0.08876026 - time (sec): 91.62 - samples/sec: 14492.21 - lr: 0.100000 2023-04-06 04:41:35,742 epoch 86 - iter 2650/2650 - loss 0.08871752 - time (sec): 101.69 - samples/sec: 14493.77 - lr: 0.100000 2023-04-06 04:41:35,743 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:41:35,743 EPOCH 86 done: loss 0.0887 - lr 0.100000 2023-04-06 04:41:35,743 BAD EPOCHS (no improvement): 0 2023-04-06 04:41:35,746 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:41:45,767 epoch 87 - iter 265/2650 - loss 0.08686058 - time (sec): 10.02 - samples/sec: 14515.80 - lr: 0.100000 2023-04-06 04:41:56,093 epoch 87 - iter 530/2650 - loss 0.08894694 - time (sec): 20.35 - samples/sec: 14477.64 - lr: 0.100000 2023-04-06 04:42:06,222 epoch 87 - iter 795/2650 - loss 0.08844934 - time (sec): 30.48 - samples/sec: 14465.86 - lr: 0.100000 2023-04-06 04:42:16,285 epoch 87 - iter 1060/2650 - loss 0.08807092 - time (sec): 40.54 - samples/sec: 14477.99 - lr: 0.100000 2023-04-06 04:42:26,459 epoch 87 - iter 1325/2650 - loss 0.08824834 - time (sec): 50.71 - samples/sec: 14494.53 - lr: 0.100000 2023-04-06 04:42:36,664 epoch 87 - iter 1590/2650 - loss 0.08826801 - time (sec): 60.92 - samples/sec: 14511.34 - lr: 0.100000 2023-04-06 04:42:46,814 epoch 87 - iter 1855/2650 - loss 0.08857822 - time (sec): 71.07 - samples/sec: 14504.80 - lr: 0.100000 2023-04-06 04:42:57,243 epoch 87 - iter 2120/2650 - loss 0.08853850 - time (sec): 81.50 - samples/sec: 14486.34 - lr: 0.100000 2023-04-06 04:43:07,464 epoch 87 - iter 2385/2650 - loss 0.08853335 - time (sec): 91.72 - samples/sec: 14486.06 - lr: 0.100000 2023-04-06 04:43:17,583 epoch 87 - iter 2650/2650 - loss 0.08864860 - time (sec): 101.84 - samples/sec: 14472.44 - lr: 0.100000 2023-04-06 04:43:17,583 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:43:17,583 EPOCH 87 done: loss 0.0886 - lr 0.100000 2023-04-06 04:43:17,583 BAD EPOCHS (no improvement): 0 2023-04-06 04:43:17,587 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:43:27,893 epoch 88 - iter 265/2650 - loss 0.08377799 - time (sec): 10.31 - samples/sec: 14443.17 - lr: 0.100000 2023-04-06 04:43:38,030 epoch 88 - iter 530/2650 - loss 0.08548613 - time (sec): 20.44 - samples/sec: 14407.17 - lr: 0.100000 2023-04-06 04:43:48,242 epoch 88 - iter 795/2650 - loss 0.08563705 - time (sec): 30.66 - samples/sec: 14465.73 - lr: 0.100000 2023-04-06 04:44:03,000 epoch 88 - iter 1060/2650 - loss 0.08690237 - time (sec): 45.41 - samples/sec: 13044.82 - lr: 0.100000 2023-04-06 04:44:13,048 epoch 88 - iter 1325/2650 - loss 0.08705716 - time (sec): 55.46 - samples/sec: 13343.83 - lr: 0.100000 2023-04-06 04:44:23,249 epoch 88 - iter 1590/2650 - loss 0.08765271 - time (sec): 65.66 - samples/sec: 13507.26 - lr: 0.100000 2023-04-06 04:44:33,444 epoch 88 - iter 1855/2650 - loss 0.08766001 - time (sec): 75.86 - samples/sec: 13637.60 - lr: 0.100000 2023-04-06 04:44:43,603 epoch 88 - iter 2120/2650 - loss 0.08797221 - time (sec): 86.02 - samples/sec: 13719.21 - lr: 0.100000 2023-04-06 04:44:53,826 epoch 88 - iter 2385/2650 - loss 0.08859132 - time (sec): 96.24 - samples/sec: 13793.03 - lr: 0.100000 2023-04-06 04:45:03,993 epoch 88 - iter 2650/2650 - loss 0.08873761 - time (sec): 106.41 - samples/sec: 13850.95 - lr: 0.100000 2023-04-06 04:45:03,993 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:45:03,994 EPOCH 88 done: loss 0.0887 - lr 0.100000 2023-04-06 04:45:03,994 BAD EPOCHS (no improvement): 1 2023-04-06 04:45:03,997 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:45:14,160 epoch 89 - iter 265/2650 - loss 0.08459005 - time (sec): 10.16 - samples/sec: 14569.62 - lr: 0.100000 2023-04-06 04:45:24,324 epoch 89 - iter 530/2650 - loss 0.08626964 - time (sec): 20.33 - samples/sec: 14476.21 - lr: 0.100000 2023-04-06 04:45:34,515 epoch 89 - iter 795/2650 - loss 0.08729857 - time (sec): 30.52 - samples/sec: 14491.44 - lr: 0.100000 2023-04-06 04:45:44,577 epoch 89 - iter 1060/2650 - loss 0.08682184 - time (sec): 40.58 - samples/sec: 14497.21 - lr: 0.100000 2023-04-06 04:45:54,823 epoch 89 - iter 1325/2650 - loss 0.08700652 - time (sec): 50.83 - samples/sec: 14491.31 - lr: 0.100000 2023-04-06 04:46:05,008 epoch 89 - iter 1590/2650 - loss 0.08754767 - time (sec): 61.01 - samples/sec: 14490.56 - lr: 0.100000 2023-04-06 04:46:15,193 epoch 89 - iter 1855/2650 - loss 0.08748794 - time (sec): 71.20 - samples/sec: 14509.99 - lr: 0.100000 2023-04-06 04:46:25,244 epoch 89 - iter 2120/2650 - loss 0.08750495 - time (sec): 81.25 - samples/sec: 14514.67 - lr: 0.100000 2023-04-06 04:46:35,265 epoch 89 - iter 2385/2650 - loss 0.08739637 - time (sec): 91.27 - samples/sec: 14529.71 - lr: 0.100000 2023-04-06 04:46:45,347 epoch 89 - iter 2650/2650 - loss 0.08736372 - time (sec): 101.35 - samples/sec: 14541.89 - lr: 0.100000 2023-04-06 04:46:45,347 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:46:45,348 EPOCH 89 done: loss 0.0874 - lr 0.100000 2023-04-06 04:46:45,348 BAD EPOCHS (no improvement): 0 2023-04-06 04:46:45,351 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:46:55,420 epoch 90 - iter 265/2650 - loss 0.08667362 - time (sec): 10.07 - samples/sec: 14657.41 - lr: 0.100000 2023-04-06 04:47:05,509 epoch 90 - iter 530/2650 - loss 0.08689853 - time (sec): 20.16 - samples/sec: 14620.81 - lr: 0.100000 2023-04-06 04:47:15,786 epoch 90 - iter 795/2650 - loss 0.08737105 - time (sec): 30.43 - samples/sec: 14532.95 - lr: 0.100000 2023-04-06 04:47:25,977 epoch 90 - iter 1060/2650 - loss 0.08740567 - time (sec): 40.63 - samples/sec: 14537.40 - lr: 0.100000 2023-04-06 04:47:35,927 epoch 90 - iter 1325/2650 - loss 0.08753970 - time (sec): 50.58 - samples/sec: 14536.20 - lr: 0.100000 2023-04-06 04:47:46,104 epoch 90 - iter 1590/2650 - loss 0.08751891 - time (sec): 60.75 - samples/sec: 14535.65 - lr: 0.100000 2023-04-06 04:47:56,357 epoch 90 - iter 1855/2650 - loss 0.08750081 - time (sec): 71.01 - samples/sec: 14515.10 - lr: 0.100000 2023-04-06 04:48:06,612 epoch 90 - iter 2120/2650 - loss 0.08774575 - time (sec): 81.26 - samples/sec: 14513.42 - lr: 0.100000 2023-04-06 04:48:16,827 epoch 90 - iter 2385/2650 - loss 0.08747603 - time (sec): 91.48 - samples/sec: 14501.21 - lr: 0.100000 2023-04-06 04:48:27,019 epoch 90 - iter 2650/2650 - loss 0.08759660 - time (sec): 101.67 - samples/sec: 14496.42 - lr: 0.100000 2023-04-06 04:48:27,020 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:48:27,020 EPOCH 90 done: loss 0.0876 - lr 0.100000 2023-04-06 04:48:27,020 BAD EPOCHS (no improvement): 1 2023-04-06 04:48:27,022 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:48:37,137 epoch 91 - iter 265/2650 - loss 0.08471630 - time (sec): 10.11 - samples/sec: 14543.86 - lr: 0.100000 2023-04-06 04:48:47,206 epoch 91 - iter 530/2650 - loss 0.08642630 - time (sec): 20.18 - samples/sec: 14545.78 - lr: 0.100000 2023-04-06 04:48:57,413 epoch 91 - iter 795/2650 - loss 0.08675540 - time (sec): 30.39 - samples/sec: 14481.06 - lr: 0.100000 2023-04-06 04:49:07,532 epoch 91 - iter 1060/2650 - loss 0.08717829 - time (sec): 40.51 - samples/sec: 14470.97 - lr: 0.100000 2023-04-06 04:49:17,810 epoch 91 - iter 1325/2650 - loss 0.08731443 - time (sec): 50.79 - samples/sec: 14467.21 - lr: 0.100000 2023-04-06 04:49:28,029 epoch 91 - iter 1590/2650 - loss 0.08772776 - time (sec): 61.01 - samples/sec: 14487.06 - lr: 0.100000 2023-04-06 04:49:38,290 epoch 91 - iter 1855/2650 - loss 0.08771578 - time (sec): 71.27 - samples/sec: 14482.60 - lr: 0.100000 2023-04-06 04:49:48,504 epoch 91 - iter 2120/2650 - loss 0.08759599 - time (sec): 81.48 - samples/sec: 14484.85 - lr: 0.100000 2023-04-06 04:49:58,763 epoch 91 - iter 2385/2650 - loss 0.08757036 - time (sec): 91.74 - samples/sec: 14475.78 - lr: 0.100000 2023-04-06 04:50:08,807 epoch 91 - iter 2650/2650 - loss 0.08753395 - time (sec): 101.78 - samples/sec: 14479.88 - lr: 0.100000 2023-04-06 04:50:08,807 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:50:08,807 EPOCH 91 done: loss 0.0875 - lr 0.100000 2023-04-06 04:50:08,807 BAD EPOCHS (no improvement): 2 2023-04-06 04:50:08,814 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:50:19,051 epoch 92 - iter 265/2650 - loss 0.08550004 - time (sec): 10.24 - samples/sec: 14478.72 - lr: 0.100000 2023-04-06 04:50:29,352 epoch 92 - iter 530/2650 - loss 0.08595918 - time (sec): 20.54 - samples/sec: 14431.52 - lr: 0.100000 2023-04-06 04:50:39,538 epoch 92 - iter 795/2650 - loss 0.08713660 - time (sec): 30.72 - samples/sec: 14471.40 - lr: 0.100000 2023-04-06 04:50:49,801 epoch 92 - iter 1060/2650 - loss 0.08736664 - time (sec): 40.99 - samples/sec: 14480.55 - lr: 0.100000 2023-04-06 04:51:00,018 epoch 92 - iter 1325/2650 - loss 0.08741382 - time (sec): 51.20 - samples/sec: 14479.20 - lr: 0.100000 2023-04-06 04:51:10,163 epoch 92 - iter 1590/2650 - loss 0.08789634 - time (sec): 61.35 - samples/sec: 14468.64 - lr: 0.100000 2023-04-06 04:51:20,167 epoch 92 - iter 1855/2650 - loss 0.08791477 - time (sec): 71.35 - samples/sec: 14482.07 - lr: 0.100000 2023-04-06 04:51:30,374 epoch 92 - iter 2120/2650 - loss 0.08762360 - time (sec): 81.56 - samples/sec: 14468.51 - lr: 0.100000 2023-04-06 04:51:40,539 epoch 92 - iter 2385/2650 - loss 0.08790243 - time (sec): 91.72 - samples/sec: 14475.51 - lr: 0.100000 2023-04-06 04:51:50,722 epoch 92 - iter 2650/2650 - loss 0.08789626 - time (sec): 101.91 - samples/sec: 14462.21 - lr: 0.100000 2023-04-06 04:51:50,723 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:51:50,723 EPOCH 92 done: loss 0.0879 - lr 0.100000 2023-04-06 04:51:50,723 BAD EPOCHS (no improvement): 3 2023-04-06 04:51:50,727 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:52:00,897 epoch 93 - iter 265/2650 - loss 0.08494345 - time (sec): 10.17 - samples/sec: 14552.82 - lr: 0.100000 2023-04-06 04:52:11,017 epoch 93 - iter 530/2650 - loss 0.08469305 - time (sec): 20.29 - samples/sec: 14515.98 - lr: 0.100000 2023-04-06 04:52:21,256 epoch 93 - iter 795/2650 - loss 0.08580297 - time (sec): 30.53 - samples/sec: 14522.40 - lr: 0.100000 2023-04-06 04:52:31,353 epoch 93 - iter 1060/2650 - loss 0.08553379 - time (sec): 40.63 - samples/sec: 14505.19 - lr: 0.100000 2023-04-06 04:52:41,614 epoch 93 - iter 1325/2650 - loss 0.08590591 - time (sec): 50.89 - samples/sec: 14498.19 - lr: 0.100000 2023-04-06 04:52:51,717 epoch 93 - iter 1590/2650 - loss 0.08635285 - time (sec): 60.99 - samples/sec: 14509.61 - lr: 0.100000 2023-04-06 04:53:01,975 epoch 93 - iter 1855/2650 - loss 0.08665454 - time (sec): 71.25 - samples/sec: 14482.16 - lr: 0.100000 2023-04-06 04:53:12,175 epoch 93 - iter 2120/2650 - loss 0.08680153 - time (sec): 81.45 - samples/sec: 14476.50 - lr: 0.100000 2023-04-06 04:53:22,607 epoch 93 - iter 2385/2650 - loss 0.08702116 - time (sec): 91.88 - samples/sec: 14451.90 - lr: 0.100000 2023-04-06 04:53:32,685 epoch 93 - iter 2650/2650 - loss 0.08728956 - time (sec): 101.96 - samples/sec: 14455.18 - lr: 0.100000 2023-04-06 04:53:32,685 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:53:32,685 EPOCH 93 done: loss 0.0873 - lr 0.100000 2023-04-06 04:53:32,685 BAD EPOCHS (no improvement): 0 2023-04-06 04:53:32,689 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:53:42,820 epoch 94 - iter 265/2650 - loss 0.08585640 - time (sec): 10.13 - samples/sec: 14406.14 - lr: 0.100000 2023-04-06 04:53:53,009 epoch 94 - iter 530/2650 - loss 0.08561460 - time (sec): 20.32 - samples/sec: 14437.89 - lr: 0.100000 2023-04-06 04:54:03,390 epoch 94 - iter 795/2650 - loss 0.08668999 - time (sec): 30.70 - samples/sec: 14396.68 - lr: 0.100000 2023-04-06 04:54:13,595 epoch 94 - iter 1060/2650 - loss 0.08606690 - time (sec): 40.91 - samples/sec: 14402.40 - lr: 0.100000 2023-04-06 04:54:23,847 epoch 94 - iter 1325/2650 - loss 0.08609009 - time (sec): 51.16 - samples/sec: 14390.18 - lr: 0.100000 2023-04-06 04:54:38,226 epoch 94 - iter 1590/2650 - loss 0.08639081 - time (sec): 65.54 - samples/sec: 13481.98 - lr: 0.100000 2023-04-06 04:54:48,582 epoch 94 - iter 1855/2650 - loss 0.08658361 - time (sec): 75.89 - samples/sec: 13601.15 - lr: 0.100000 2023-04-06 04:54:58,765 epoch 94 - iter 2120/2650 - loss 0.08692525 - time (sec): 86.08 - samples/sec: 13704.97 - lr: 0.100000 2023-04-06 04:55:09,076 epoch 94 - iter 2385/2650 - loss 0.08731743 - time (sec): 96.39 - samples/sec: 13783.43 - lr: 0.100000 2023-04-06 04:55:19,074 epoch 94 - iter 2650/2650 - loss 0.08763320 - time (sec): 106.38 - samples/sec: 13853.74 - lr: 0.100000 2023-04-06 04:55:19,074 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:55:19,074 EPOCH 94 done: loss 0.0876 - lr 0.100000 2023-04-06 04:55:19,074 BAD EPOCHS (no improvement): 1 2023-04-06 04:55:19,077 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:55:29,275 epoch 95 - iter 265/2650 - loss 0.08351397 - time (sec): 10.20 - samples/sec: 14490.34 - lr: 0.100000 2023-04-06 04:55:39,395 epoch 95 - iter 530/2650 - loss 0.08526013 - time (sec): 20.32 - samples/sec: 14480.83 - lr: 0.100000 2023-04-06 04:55:49,562 epoch 95 - iter 795/2650 - loss 0.08555665 - time (sec): 30.48 - samples/sec: 14431.20 - lr: 0.100000 2023-04-06 04:55:59,832 epoch 95 - iter 1060/2650 - loss 0.08710328 - time (sec): 40.76 - samples/sec: 14433.08 - lr: 0.100000 2023-04-06 04:56:10,126 epoch 95 - iter 1325/2650 - loss 0.08679012 - time (sec): 51.05 - samples/sec: 14426.80 - lr: 0.100000 2023-04-06 04:56:20,337 epoch 95 - iter 1590/2650 - loss 0.08655551 - time (sec): 61.26 - samples/sec: 14429.58 - lr: 0.100000 2023-04-06 04:56:30,677 epoch 95 - iter 1855/2650 - loss 0.08662748 - time (sec): 71.60 - samples/sec: 14405.71 - lr: 0.100000 2023-04-06 04:56:40,896 epoch 95 - iter 2120/2650 - loss 0.08678102 - time (sec): 81.82 - samples/sec: 14402.76 - lr: 0.100000 2023-04-06 04:56:51,268 epoch 95 - iter 2385/2650 - loss 0.08705650 - time (sec): 92.19 - samples/sec: 14388.58 - lr: 0.100000 2023-04-06 04:57:01,544 epoch 95 - iter 2650/2650 - loss 0.08718940 - time (sec): 102.47 - samples/sec: 14383.43 - lr: 0.100000 2023-04-06 04:57:01,544 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:57:01,544 EPOCH 95 done: loss 0.0872 - lr 0.100000 2023-04-06 04:57:01,544 BAD EPOCHS (no improvement): 0 2023-04-06 04:57:01,548 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:57:11,737 epoch 96 - iter 265/2650 - loss 0.08527503 - time (sec): 10.19 - samples/sec: 14471.06 - lr: 0.100000 2023-04-06 04:57:21,900 epoch 96 - iter 530/2650 - loss 0.08596150 - time (sec): 20.35 - samples/sec: 14504.18 - lr: 0.100000 2023-04-06 04:57:32,009 epoch 96 - iter 795/2650 - loss 0.08621536 - time (sec): 30.46 - samples/sec: 14514.07 - lr: 0.100000 2023-04-06 04:57:42,266 epoch 96 - iter 1060/2650 - loss 0.08595165 - time (sec): 40.72 - samples/sec: 14483.08 - lr: 0.100000 2023-04-06 04:57:52,512 epoch 96 - iter 1325/2650 - loss 0.08596112 - time (sec): 50.96 - samples/sec: 14481.48 - lr: 0.100000 2023-04-06 04:58:02,591 epoch 96 - iter 1590/2650 - loss 0.08611027 - time (sec): 61.04 - samples/sec: 14468.42 - lr: 0.100000 2023-04-06 04:58:12,921 epoch 96 - iter 1855/2650 - loss 0.08635775 - time (sec): 71.37 - samples/sec: 14455.24 - lr: 0.100000 2023-04-06 04:58:23,292 epoch 96 - iter 2120/2650 - loss 0.08641859 - time (sec): 81.74 - samples/sec: 14444.42 - lr: 0.100000 2023-04-06 04:58:33,457 epoch 96 - iter 2385/2650 - loss 0.08670417 - time (sec): 91.91 - samples/sec: 14441.68 - lr: 0.100000 2023-04-06 04:58:43,717 epoch 96 - iter 2650/2650 - loss 0.08670475 - time (sec): 102.17 - samples/sec: 14425.33 - lr: 0.100000 2023-04-06 04:58:43,718 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:58:43,718 EPOCH 96 done: loss 0.0867 - lr 0.100000 2023-04-06 04:58:43,718 BAD EPOCHS (no improvement): 0 2023-04-06 04:58:43,722 ---------------------------------------------------------------------------------------------------- 2023-04-06 04:58:53,789 epoch 97 - iter 265/2650 - loss 0.08586302 - time (sec): 10.07 - samples/sec: 14501.34 - lr: 0.100000 2023-04-06 04:59:04,043 epoch 97 - iter 530/2650 - loss 0.08564755 - time (sec): 20.32 - samples/sec: 14430.85 - lr: 0.100000 2023-04-06 04:59:14,162 epoch 97 - iter 795/2650 - loss 0.08593732 - time (sec): 30.44 - samples/sec: 14445.69 - lr: 0.100000 2023-04-06 04:59:24,299 epoch 97 - iter 1060/2650 - loss 0.08593686 - time (sec): 40.58 - samples/sec: 14402.79 - lr: 0.100000 2023-04-06 04:59:34,754 epoch 97 - iter 1325/2650 - loss 0.08577947 - time (sec): 51.03 - samples/sec: 14402.50 - lr: 0.100000 2023-04-06 04:59:44,980 epoch 97 - iter 1590/2650 - loss 0.08627186 - time (sec): 61.26 - samples/sec: 14401.69 - lr: 0.100000 2023-04-06 04:59:55,165 epoch 97 - iter 1855/2650 - loss 0.08651457 - time (sec): 71.44 - samples/sec: 14405.66 - lr: 0.100000 2023-04-06 05:00:05,448 epoch 97 - iter 2120/2650 - loss 0.08648006 - time (sec): 81.73 - samples/sec: 14421.42 - lr: 0.100000 2023-04-06 05:00:15,644 epoch 97 - iter 2385/2650 - loss 0.08662402 - time (sec): 91.92 - samples/sec: 14424.13 - lr: 0.100000 2023-04-06 05:00:25,865 epoch 97 - iter 2650/2650 - loss 0.08690571 - time (sec): 102.14 - samples/sec: 14428.95 - lr: 0.100000 2023-04-06 05:00:25,866 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:00:25,866 EPOCH 97 done: loss 0.0869 - lr 0.100000 2023-04-06 05:00:25,866 BAD EPOCHS (no improvement): 1 2023-04-06 05:00:25,872 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:00:36,073 epoch 98 - iter 265/2650 - loss 0.08532899 - time (sec): 10.20 - samples/sec: 14561.12 - lr: 0.100000 2023-04-06 05:00:46,244 epoch 98 - iter 530/2650 - loss 0.08545677 - time (sec): 20.37 - samples/sec: 14499.93 - lr: 0.100000 2023-04-06 05:00:56,554 epoch 98 - iter 795/2650 - loss 0.08573821 - time (sec): 30.68 - samples/sec: 14517.16 - lr: 0.100000 2023-04-06 05:01:06,612 epoch 98 - iter 1060/2650 - loss 0.08591352 - time (sec): 40.74 - samples/sec: 14526.86 - lr: 0.100000 2023-04-06 05:01:16,644 epoch 98 - iter 1325/2650 - loss 0.08572499 - time (sec): 50.77 - samples/sec: 14533.93 - lr: 0.100000 2023-04-06 05:01:26,659 epoch 98 - iter 1590/2650 - loss 0.08547032 - time (sec): 60.79 - samples/sec: 14529.55 - lr: 0.100000 2023-04-06 05:01:36,774 epoch 98 - iter 1855/2650 - loss 0.08549183 - time (sec): 70.90 - samples/sec: 14523.96 - lr: 0.100000 2023-04-06 05:01:46,892 epoch 98 - iter 2120/2650 - loss 0.08593946 - time (sec): 81.02 - samples/sec: 14534.87 - lr: 0.100000 2023-04-06 05:01:57,086 epoch 98 - iter 2385/2650 - loss 0.08601095 - time (sec): 91.21 - samples/sec: 14521.95 - lr: 0.100000 2023-04-06 05:02:07,470 epoch 98 - iter 2650/2650 - loss 0.08627255 - time (sec): 101.60 - samples/sec: 14506.56 - lr: 0.100000 2023-04-06 05:02:07,470 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:02:07,470 EPOCH 98 done: loss 0.0863 - lr 0.100000 2023-04-06 05:02:07,470 BAD EPOCHS (no improvement): 0 2023-04-06 05:02:07,473 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:02:17,653 epoch 99 - iter 265/2650 - loss 0.08463173 - time (sec): 10.18 - samples/sec: 14350.43 - lr: 0.100000 2023-04-06 05:02:27,601 epoch 99 - iter 530/2650 - loss 0.08513024 - time (sec): 20.13 - samples/sec: 14450.28 - lr: 0.100000 2023-04-06 05:02:37,858 epoch 99 - iter 795/2650 - loss 0.08507060 - time (sec): 30.38 - samples/sec: 14427.93 - lr: 0.100000 2023-04-06 05:02:47,976 epoch 99 - iter 1060/2650 - loss 0.08534421 - time (sec): 40.50 - samples/sec: 14462.89 - lr: 0.100000 2023-04-06 05:02:58,372 epoch 99 - iter 1325/2650 - loss 0.08529374 - time (sec): 50.90 - samples/sec: 14465.92 - lr: 0.100000 2023-04-06 05:03:08,523 epoch 99 - iter 1590/2650 - loss 0.08568305 - time (sec): 61.05 - samples/sec: 14460.51 - lr: 0.100000 2023-04-06 05:03:18,660 epoch 99 - iter 1855/2650 - loss 0.08585713 - time (sec): 71.19 - samples/sec: 14466.22 - lr: 0.100000 2023-04-06 05:03:28,862 epoch 99 - iter 2120/2650 - loss 0.08614377 - time (sec): 81.39 - samples/sec: 14480.22 - lr: 0.100000 2023-04-06 05:03:38,978 epoch 99 - iter 2385/2650 - loss 0.08645114 - time (sec): 91.50 - samples/sec: 14481.63 - lr: 0.100000 2023-04-06 05:03:49,176 epoch 99 - iter 2650/2650 - loss 0.08642223 - time (sec): 101.70 - samples/sec: 14491.54 - lr: 0.100000 2023-04-06 05:03:49,176 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:03:49,176 EPOCH 99 done: loss 0.0864 - lr 0.100000 2023-04-06 05:03:49,176 BAD EPOCHS (no improvement): 1 2023-04-06 05:03:49,181 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:03:59,336 epoch 100 - iter 265/2650 - loss 0.08387010 - time (sec): 10.15 - samples/sec: 14533.69 - lr: 0.100000 2023-04-06 05:04:09,419 epoch 100 - iter 530/2650 - loss 0.08567468 - time (sec): 20.24 - samples/sec: 14509.16 - lr: 0.100000 2023-04-06 05:04:19,615 epoch 100 - iter 795/2650 - loss 0.08614737 - time (sec): 30.43 - samples/sec: 14487.21 - lr: 0.100000 2023-04-06 05:04:29,880 epoch 100 - iter 1060/2650 - loss 0.08625215 - time (sec): 40.70 - samples/sec: 14475.78 - lr: 0.100000 2023-04-06 05:04:40,110 epoch 100 - iter 1325/2650 - loss 0.08583688 - time (sec): 50.93 - samples/sec: 14455.38 - lr: 0.100000 2023-04-06 05:04:50,298 epoch 100 - iter 1590/2650 - loss 0.08588355 - time (sec): 61.12 - samples/sec: 14441.12 - lr: 0.100000 2023-04-06 05:05:05,012 epoch 100 - iter 1855/2650 - loss 0.08569820 - time (sec): 75.83 - samples/sec: 13564.77 - lr: 0.100000 2023-04-06 05:05:15,214 epoch 100 - iter 2120/2650 - loss 0.08590922 - time (sec): 86.03 - samples/sec: 13687.84 - lr: 0.100000 2023-04-06 05:05:25,396 epoch 100 - iter 2385/2650 - loss 0.08584945 - time (sec): 96.21 - samples/sec: 13769.81 - lr: 0.100000 2023-04-06 05:05:35,750 epoch 100 - iter 2650/2650 - loss 0.08605911 - time (sec): 106.57 - samples/sec: 13829.87 - lr: 0.100000 2023-04-06 05:05:35,750 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:05:35,750 EPOCH 100 done: loss 0.0861 - lr 0.100000 2023-04-06 05:05:35,750 BAD EPOCHS (no improvement): 0 2023-04-06 05:05:35,754 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:05:45,954 epoch 101 - iter 265/2650 - loss 0.08773316 - time (sec): 10.20 - samples/sec: 14464.07 - lr: 0.100000 2023-04-06 05:05:56,106 epoch 101 - iter 530/2650 - loss 0.08771436 - time (sec): 20.35 - samples/sec: 14453.22 - lr: 0.100000 2023-04-06 05:06:06,429 epoch 101 - iter 795/2650 - loss 0.08778659 - time (sec): 30.67 - samples/sec: 14469.71 - lr: 0.100000 2023-04-06 05:06:16,657 epoch 101 - iter 1060/2650 - loss 0.08731032 - time (sec): 40.90 - samples/sec: 14435.45 - lr: 0.100000 2023-04-06 05:06:26,922 epoch 101 - iter 1325/2650 - loss 0.08744010 - time (sec): 51.17 - samples/sec: 14450.18 - lr: 0.100000 2023-04-06 05:06:37,114 epoch 101 - iter 1590/2650 - loss 0.08754944 - time (sec): 61.36 - samples/sec: 14441.40 - lr: 0.100000 2023-04-06 05:06:47,279 epoch 101 - iter 1855/2650 - loss 0.08745490 - time (sec): 71.52 - samples/sec: 14447.48 - lr: 0.100000 2023-04-06 05:06:57,446 epoch 101 - iter 2120/2650 - loss 0.08716793 - time (sec): 81.69 - samples/sec: 14442.43 - lr: 0.100000 2023-04-06 05:07:07,654 epoch 101 - iter 2385/2650 - loss 0.08732013 - time (sec): 91.90 - samples/sec: 14442.50 - lr: 0.100000 2023-04-06 05:07:17,856 epoch 101 - iter 2650/2650 - loss 0.08726792 - time (sec): 102.10 - samples/sec: 14434.90 - lr: 0.100000 2023-04-06 05:07:17,856 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:07:17,856 EPOCH 101 done: loss 0.0873 - lr 0.100000 2023-04-06 05:07:17,856 BAD EPOCHS (no improvement): 1 2023-04-06 05:07:17,860 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:07:27,948 epoch 102 - iter 265/2650 - loss 0.08489752 - time (sec): 10.09 - samples/sec: 14547.39 - lr: 0.100000 2023-04-06 05:07:38,325 epoch 102 - iter 530/2650 - loss 0.08517209 - time (sec): 20.47 - samples/sec: 14442.87 - lr: 0.100000 2023-04-06 05:07:48,492 epoch 102 - iter 795/2650 - loss 0.08567012 - time (sec): 30.63 - samples/sec: 14502.19 - lr: 0.100000 2023-04-06 05:07:58,581 epoch 102 - iter 1060/2650 - loss 0.08571080 - time (sec): 40.72 - samples/sec: 14503.32 - lr: 0.100000 2023-04-06 05:08:08,585 epoch 102 - iter 1325/2650 - loss 0.08571021 - time (sec): 50.73 - samples/sec: 14522.33 - lr: 0.100000 2023-04-06 05:08:18,731 epoch 102 - iter 1590/2650 - loss 0.08551912 - time (sec): 60.87 - samples/sec: 14507.92 - lr: 0.100000 2023-04-06 05:08:28,832 epoch 102 - iter 1855/2650 - loss 0.08568349 - time (sec): 70.97 - samples/sec: 14504.81 - lr: 0.100000 2023-04-06 05:08:39,119 epoch 102 - iter 2120/2650 - loss 0.08578362 - time (sec): 81.26 - samples/sec: 14507.36 - lr: 0.100000 2023-04-06 05:08:49,269 epoch 102 - iter 2385/2650 - loss 0.08598264 - time (sec): 91.41 - samples/sec: 14512.42 - lr: 0.100000 2023-04-06 05:08:59,414 epoch 102 - iter 2650/2650 - loss 0.08597937 - time (sec): 101.55 - samples/sec: 14512.67 - lr: 0.100000 2023-04-06 05:08:59,414 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:08:59,414 EPOCH 102 done: loss 0.0860 - lr 0.100000 2023-04-06 05:08:59,414 BAD EPOCHS (no improvement): 0 2023-04-06 05:08:59,418 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:09:09,600 epoch 103 - iter 265/2650 - loss 0.08565470 - time (sec): 10.18 - samples/sec: 14481.75 - lr: 0.100000 2023-04-06 05:09:19,526 epoch 103 - iter 530/2650 - loss 0.08506883 - time (sec): 20.11 - samples/sec: 14571.74 - lr: 0.100000 2023-04-06 05:09:29,625 epoch 103 - iter 795/2650 - loss 0.08504370 - time (sec): 30.21 - samples/sec: 14551.51 - lr: 0.100000 2023-04-06 05:09:39,758 epoch 103 - iter 1060/2650 - loss 0.08468965 - time (sec): 40.34 - samples/sec: 14558.41 - lr: 0.100000 2023-04-06 05:09:49,808 epoch 103 - iter 1325/2650 - loss 0.08538160 - time (sec): 50.39 - samples/sec: 14560.22 - lr: 0.100000 2023-04-06 05:09:59,960 epoch 103 - iter 1590/2650 - loss 0.08593599 - time (sec): 60.54 - samples/sec: 14558.68 - lr: 0.100000 2023-04-06 05:10:10,287 epoch 103 - iter 1855/2650 - loss 0.08595349 - time (sec): 70.87 - samples/sec: 14521.80 - lr: 0.100000 2023-04-06 05:10:20,589 epoch 103 - iter 2120/2650 - loss 0.08581603 - time (sec): 81.17 - samples/sec: 14519.57 - lr: 0.100000 2023-04-06 05:10:30,757 epoch 103 - iter 2385/2650 - loss 0.08582159 - time (sec): 91.34 - samples/sec: 14516.34 - lr: 0.100000 2023-04-06 05:10:40,946 epoch 103 - iter 2650/2650 - loss 0.08575550 - time (sec): 101.53 - samples/sec: 14516.35 - lr: 0.100000 2023-04-06 05:10:40,947 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:10:40,947 EPOCH 103 done: loss 0.0858 - lr 0.100000 2023-04-06 05:10:40,947 BAD EPOCHS (no improvement): 0 2023-04-06 05:10:40,954 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:10:51,260 epoch 104 - iter 265/2650 - loss 0.08526550 - time (sec): 10.31 - samples/sec: 14527.22 - lr: 0.100000 2023-04-06 05:11:01,381 epoch 104 - iter 530/2650 - loss 0.08626043 - time (sec): 20.43 - samples/sec: 14556.05 - lr: 0.100000 2023-04-06 05:11:11,647 epoch 104 - iter 795/2650 - loss 0.08595941 - time (sec): 30.69 - samples/sec: 14534.87 - lr: 0.100000 2023-04-06 05:11:21,709 epoch 104 - iter 1060/2650 - loss 0.08566513 - time (sec): 40.75 - samples/sec: 14536.19 - lr: 0.100000 2023-04-06 05:11:31,820 epoch 104 - iter 1325/2650 - loss 0.08551685 - time (sec): 50.87 - samples/sec: 14525.57 - lr: 0.100000 2023-04-06 05:11:41,896 epoch 104 - iter 1590/2650 - loss 0.08584667 - time (sec): 60.94 - samples/sec: 14512.76 - lr: 0.100000 2023-04-06 05:11:52,001 epoch 104 - iter 1855/2650 - loss 0.08545316 - time (sec): 71.05 - samples/sec: 14522.01 - lr: 0.100000 2023-04-06 05:12:02,071 epoch 104 - iter 2120/2650 - loss 0.08539573 - time (sec): 81.12 - samples/sec: 14526.01 - lr: 0.100000 2023-04-06 05:12:12,326 epoch 104 - iter 2385/2650 - loss 0.08566920 - time (sec): 91.37 - samples/sec: 14525.78 - lr: 0.100000 2023-04-06 05:12:22,406 epoch 104 - iter 2650/2650 - loss 0.08571071 - time (sec): 101.45 - samples/sec: 14527.27 - lr: 0.100000 2023-04-06 05:12:22,407 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:12:22,407 EPOCH 104 done: loss 0.0857 - lr 0.100000 2023-04-06 05:12:22,407 BAD EPOCHS (no improvement): 0 2023-04-06 05:12:22,410 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:12:32,500 epoch 105 - iter 265/2650 - loss 0.08587935 - time (sec): 10.09 - samples/sec: 14553.34 - lr: 0.100000 2023-04-06 05:12:42,775 epoch 105 - iter 530/2650 - loss 0.08578547 - time (sec): 20.37 - samples/sec: 14464.32 - lr: 0.100000 2023-04-06 05:12:52,779 epoch 105 - iter 795/2650 - loss 0.08582809 - time (sec): 30.37 - samples/sec: 14529.60 - lr: 0.100000 2023-04-06 05:13:02,875 epoch 105 - iter 1060/2650 - loss 0.08581036 - time (sec): 40.46 - samples/sec: 14523.80 - lr: 0.100000 2023-04-06 05:13:12,893 epoch 105 - iter 1325/2650 - loss 0.08594505 - time (sec): 50.48 - samples/sec: 14543.68 - lr: 0.100000 2023-04-06 05:13:23,233 epoch 105 - iter 1590/2650 - loss 0.08585018 - time (sec): 60.82 - samples/sec: 14511.02 - lr: 0.100000 2023-04-06 05:13:33,560 epoch 105 - iter 1855/2650 - loss 0.08630854 - time (sec): 71.15 - samples/sec: 14507.42 - lr: 0.100000 2023-04-06 05:13:43,725 epoch 105 - iter 2120/2650 - loss 0.08654076 - time (sec): 81.31 - samples/sec: 14500.13 - lr: 0.100000 2023-04-06 05:13:53,969 epoch 105 - iter 2385/2650 - loss 0.08654395 - time (sec): 91.56 - samples/sec: 14501.09 - lr: 0.100000 2023-04-06 05:14:04,115 epoch 105 - iter 2650/2650 - loss 0.08653547 - time (sec): 101.70 - samples/sec: 14491.16 - lr: 0.100000 2023-04-06 05:14:04,115 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:14:04,115 EPOCH 105 done: loss 0.0865 - lr 0.100000 2023-04-06 05:14:04,115 BAD EPOCHS (no improvement): 1 2023-04-06 05:14:04,119 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:14:14,435 epoch 106 - iter 265/2650 - loss 0.08283838 - time (sec): 10.32 - samples/sec: 14536.10 - lr: 0.100000 2023-04-06 05:14:24,731 epoch 106 - iter 530/2650 - loss 0.08468584 - time (sec): 20.61 - samples/sec: 14472.25 - lr: 0.100000 2023-04-06 05:14:34,884 epoch 106 - iter 795/2650 - loss 0.08489869 - time (sec): 30.77 - samples/sec: 14472.67 - lr: 0.100000 2023-04-06 05:14:45,036 epoch 106 - iter 1060/2650 - loss 0.08510894 - time (sec): 40.92 - samples/sec: 14445.60 - lr: 0.100000 2023-04-06 05:14:55,195 epoch 106 - iter 1325/2650 - loss 0.08540901 - time (sec): 51.08 - samples/sec: 14450.56 - lr: 0.100000 2023-04-06 05:15:05,436 epoch 106 - iter 1590/2650 - loss 0.08541305 - time (sec): 61.32 - samples/sec: 14454.65 - lr: 0.100000 2023-04-06 05:15:15,566 epoch 106 - iter 1855/2650 - loss 0.08532228 - time (sec): 71.45 - samples/sec: 14464.46 - lr: 0.100000 2023-04-06 05:15:25,659 epoch 106 - iter 2120/2650 - loss 0.08545255 - time (sec): 81.54 - samples/sec: 14469.72 - lr: 0.100000 2023-04-06 05:15:40,125 epoch 106 - iter 2385/2650 - loss 0.08553071 - time (sec): 96.01 - samples/sec: 13827.02 - lr: 0.100000 2023-04-06 05:15:50,207 epoch 106 - iter 2650/2650 - loss 0.08555615 - time (sec): 106.09 - samples/sec: 13892.45 - lr: 0.100000 2023-04-06 05:15:50,207 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:15:50,207 EPOCH 106 done: loss 0.0856 - lr 0.100000 2023-04-06 05:15:50,208 BAD EPOCHS (no improvement): 0 2023-04-06 05:15:50,211 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:16:00,444 epoch 107 - iter 265/2650 - loss 0.08412007 - time (sec): 10.23 - samples/sec: 14429.72 - lr: 0.100000 2023-04-06 05:16:10,594 epoch 107 - iter 530/2650 - loss 0.08389753 - time (sec): 20.38 - samples/sec: 14392.73 - lr: 0.100000 2023-04-06 05:16:20,886 epoch 107 - iter 795/2650 - loss 0.08396818 - time (sec): 30.68 - samples/sec: 14363.88 - lr: 0.100000 2023-04-06 05:16:31,035 epoch 107 - iter 1060/2650 - loss 0.08461630 - time (sec): 40.82 - samples/sec: 14415.46 - lr: 0.100000 2023-04-06 05:16:41,039 epoch 107 - iter 1325/2650 - loss 0.08484995 - time (sec): 50.83 - samples/sec: 14447.29 - lr: 0.100000 2023-04-06 05:16:51,190 epoch 107 - iter 1590/2650 - loss 0.08453263 - time (sec): 60.98 - samples/sec: 14472.40 - lr: 0.100000 2023-04-06 05:17:01,407 epoch 107 - iter 1855/2650 - loss 0.08480982 - time (sec): 71.20 - samples/sec: 14480.11 - lr: 0.100000 2023-04-06 05:17:11,665 epoch 107 - iter 2120/2650 - loss 0.08506504 - time (sec): 81.45 - samples/sec: 14494.46 - lr: 0.100000 2023-04-06 05:17:21,871 epoch 107 - iter 2385/2650 - loss 0.08504020 - time (sec): 91.66 - samples/sec: 14494.47 - lr: 0.100000 2023-04-06 05:17:31,828 epoch 107 - iter 2650/2650 - loss 0.08549439 - time (sec): 101.62 - samples/sec: 14503.64 - lr: 0.100000 2023-04-06 05:17:31,829 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:17:31,829 EPOCH 107 done: loss 0.0855 - lr 0.100000 2023-04-06 05:17:31,829 BAD EPOCHS (no improvement): 0 2023-04-06 05:17:31,832 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:17:42,017 epoch 108 - iter 265/2650 - loss 0.08703712 - time (sec): 10.18 - samples/sec: 14360.03 - lr: 0.100000 2023-04-06 05:17:52,049 epoch 108 - iter 530/2650 - loss 0.08687831 - time (sec): 20.22 - samples/sec: 14482.57 - lr: 0.100000 2023-04-06 05:18:02,064 epoch 108 - iter 795/2650 - loss 0.08613118 - time (sec): 30.23 - samples/sec: 14503.00 - lr: 0.100000 2023-04-06 05:18:12,239 epoch 108 - iter 1060/2650 - loss 0.08540679 - time (sec): 40.41 - samples/sec: 14523.92 - lr: 0.100000 2023-04-06 05:18:22,562 epoch 108 - iter 1325/2650 - loss 0.08595425 - time (sec): 50.73 - samples/sec: 14510.19 - lr: 0.100000 2023-04-06 05:18:32,672 epoch 108 - iter 1590/2650 - loss 0.08587179 - time (sec): 60.84 - samples/sec: 14527.44 - lr: 0.100000 2023-04-06 05:18:42,899 epoch 108 - iter 1855/2650 - loss 0.08572018 - time (sec): 71.07 - samples/sec: 14514.29 - lr: 0.100000 2023-04-06 05:18:53,074 epoch 108 - iter 2120/2650 - loss 0.08572005 - time (sec): 81.24 - samples/sec: 14521.75 - lr: 0.100000 2023-04-06 05:19:03,271 epoch 108 - iter 2385/2650 - loss 0.08573716 - time (sec): 91.44 - samples/sec: 14511.48 - lr: 0.100000 2023-04-06 05:19:13,443 epoch 108 - iter 2650/2650 - loss 0.08595950 - time (sec): 101.61 - samples/sec: 14504.56 - lr: 0.100000 2023-04-06 05:19:13,444 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:19:13,444 EPOCH 108 done: loss 0.0860 - lr 0.100000 2023-04-06 05:19:13,444 BAD EPOCHS (no improvement): 1 2023-04-06 05:19:13,447 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:19:23,499 epoch 109 - iter 265/2650 - loss 0.08438106 - time (sec): 10.05 - samples/sec: 14501.29 - lr: 0.100000 2023-04-06 05:19:33,791 epoch 109 - iter 530/2650 - loss 0.08431913 - time (sec): 20.34 - samples/sec: 14477.22 - lr: 0.100000 2023-04-06 05:19:43,818 epoch 109 - iter 795/2650 - loss 0.08341939 - time (sec): 30.37 - samples/sec: 14513.81 - lr: 0.100000 2023-04-06 05:19:53,761 epoch 109 - iter 1060/2650 - loss 0.08321691 - time (sec): 40.31 - samples/sec: 14518.09 - lr: 0.100000 2023-04-06 05:20:04,099 epoch 109 - iter 1325/2650 - loss 0.08383658 - time (sec): 50.65 - samples/sec: 14521.42 - lr: 0.100000 2023-04-06 05:20:14,258 epoch 109 - iter 1590/2650 - loss 0.08408037 - time (sec): 60.81 - samples/sec: 14520.10 - lr: 0.100000 2023-04-06 05:20:24,409 epoch 109 - iter 1855/2650 - loss 0.08457398 - time (sec): 70.96 - samples/sec: 14523.39 - lr: 0.100000 2023-04-06 05:20:34,583 epoch 109 - iter 2120/2650 - loss 0.08457895 - time (sec): 81.14 - samples/sec: 14517.74 - lr: 0.100000 2023-04-06 05:20:44,777 epoch 109 - iter 2385/2650 - loss 0.08495050 - time (sec): 91.33 - samples/sec: 14522.14 - lr: 0.100000 2023-04-06 05:20:54,949 epoch 109 - iter 2650/2650 - loss 0.08509157 - time (sec): 101.50 - samples/sec: 14520.23 - lr: 0.100000 2023-04-06 05:20:54,949 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:20:54,949 EPOCH 109 done: loss 0.0851 - lr 0.100000 2023-04-06 05:20:54,949 BAD EPOCHS (no improvement): 0 2023-04-06 05:20:54,957 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:21:05,179 epoch 110 - iter 265/2650 - loss 0.08563755 - time (sec): 10.22 - samples/sec: 14531.38 - lr: 0.100000 2023-04-06 05:21:15,407 epoch 110 - iter 530/2650 - loss 0.08505521 - time (sec): 20.45 - samples/sec: 14475.25 - lr: 0.100000 2023-04-06 05:21:25,510 epoch 110 - iter 795/2650 - loss 0.08492055 - time (sec): 30.55 - samples/sec: 14535.99 - lr: 0.100000 2023-04-06 05:21:35,881 epoch 110 - iter 1060/2650 - loss 0.08498776 - time (sec): 40.92 - samples/sec: 14504.57 - lr: 0.100000 2023-04-06 05:21:46,070 epoch 110 - iter 1325/2650 - loss 0.08516091 - time (sec): 51.11 - samples/sec: 14493.37 - lr: 0.100000 2023-04-06 05:21:56,212 epoch 110 - iter 1590/2650 - loss 0.08499445 - time (sec): 61.26 - samples/sec: 14485.78 - lr: 0.100000 2023-04-06 05:22:06,430 epoch 110 - iter 1855/2650 - loss 0.08458101 - time (sec): 71.47 - samples/sec: 14488.75 - lr: 0.100000 2023-04-06 05:22:16,533 epoch 110 - iter 2120/2650 - loss 0.08472756 - time (sec): 81.58 - samples/sec: 14480.61 - lr: 0.100000 2023-04-06 05:22:26,833 epoch 110 - iter 2385/2650 - loss 0.08466181 - time (sec): 91.88 - samples/sec: 14471.04 - lr: 0.100000 2023-04-06 05:22:36,818 epoch 110 - iter 2650/2650 - loss 0.08452699 - time (sec): 101.86 - samples/sec: 14469.01 - lr: 0.100000 2023-04-06 05:22:36,818 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:22:36,818 EPOCH 110 done: loss 0.0845 - lr 0.100000 2023-04-06 05:22:36,818 BAD EPOCHS (no improvement): 0 2023-04-06 05:22:36,821 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:22:47,089 epoch 111 - iter 265/2650 - loss 0.08559215 - time (sec): 10.27 - samples/sec: 14390.01 - lr: 0.100000 2023-04-06 05:22:57,282 epoch 111 - iter 530/2650 - loss 0.08539734 - time (sec): 20.46 - samples/sec: 14434.27 - lr: 0.100000 2023-04-06 05:23:07,471 epoch 111 - iter 795/2650 - loss 0.08577811 - time (sec): 30.65 - samples/sec: 14407.43 - lr: 0.100000 2023-04-06 05:23:17,476 epoch 111 - iter 1060/2650 - loss 0.08590775 - time (sec): 40.65 - samples/sec: 14420.40 - lr: 0.100000 2023-04-06 05:23:27,577 epoch 111 - iter 1325/2650 - loss 0.08536560 - time (sec): 50.75 - samples/sec: 14447.80 - lr: 0.100000 2023-04-06 05:23:37,850 epoch 111 - iter 1590/2650 - loss 0.08548720 - time (sec): 61.03 - samples/sec: 14452.82 - lr: 0.100000 2023-04-06 05:23:48,132 epoch 111 - iter 1855/2650 - loss 0.08551492 - time (sec): 71.31 - samples/sec: 14444.66 - lr: 0.100000 2023-04-06 05:23:58,254 epoch 111 - iter 2120/2650 - loss 0.08557210 - time (sec): 81.43 - samples/sec: 14462.64 - lr: 0.100000 2023-04-06 05:24:08,481 epoch 111 - iter 2385/2650 - loss 0.08580337 - time (sec): 91.66 - samples/sec: 14472.17 - lr: 0.100000 2023-04-06 05:24:18,636 epoch 111 - iter 2650/2650 - loss 0.08549921 - time (sec): 101.81 - samples/sec: 14475.62 - lr: 0.100000 2023-04-06 05:24:18,636 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:24:18,636 EPOCH 111 done: loss 0.0855 - lr 0.100000 2023-04-06 05:24:18,636 BAD EPOCHS (no improvement): 1 2023-04-06 05:24:18,639 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:24:28,976 epoch 112 - iter 265/2650 - loss 0.08470386 - time (sec): 10.34 - samples/sec: 14409.16 - lr: 0.100000 2023-04-06 05:24:39,211 epoch 112 - iter 530/2650 - loss 0.08395896 - time (sec): 20.57 - samples/sec: 14449.28 - lr: 0.100000 2023-04-06 05:24:49,286 epoch 112 - iter 795/2650 - loss 0.08417611 - time (sec): 30.65 - samples/sec: 14472.03 - lr: 0.100000 2023-04-06 05:24:59,350 epoch 112 - iter 1060/2650 - loss 0.08393088 - time (sec): 40.71 - samples/sec: 14480.42 - lr: 0.100000 2023-04-06 05:25:09,557 epoch 112 - iter 1325/2650 - loss 0.08377496 - time (sec): 50.92 - samples/sec: 14463.46 - lr: 0.100000 2023-04-06 05:25:19,713 epoch 112 - iter 1590/2650 - loss 0.08389840 - time (sec): 61.07 - samples/sec: 14469.53 - lr: 0.100000 2023-04-06 05:25:29,868 epoch 112 - iter 1855/2650 - loss 0.08377845 - time (sec): 71.23 - samples/sec: 14477.23 - lr: 0.100000 2023-04-06 05:25:40,062 epoch 112 - iter 2120/2650 - loss 0.08420190 - time (sec): 81.42 - samples/sec: 14476.01 - lr: 0.100000 2023-04-06 05:25:50,182 epoch 112 - iter 2385/2650 - loss 0.08464231 - time (sec): 91.54 - samples/sec: 14480.80 - lr: 0.100000 2023-04-06 05:26:00,386 epoch 112 - iter 2650/2650 - loss 0.08486143 - time (sec): 101.75 - samples/sec: 14485.20 - lr: 0.100000 2023-04-06 05:26:00,386 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:26:00,386 EPOCH 112 done: loss 0.0849 - lr 0.100000 2023-04-06 05:26:00,386 BAD EPOCHS (no improvement): 2 2023-04-06 05:26:00,406 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:26:15,123 epoch 113 - iter 265/2650 - loss 0.08406757 - time (sec): 14.72 - samples/sec: 10260.48 - lr: 0.100000 2023-04-06 05:26:25,252 epoch 113 - iter 530/2650 - loss 0.08337089 - time (sec): 24.85 - samples/sec: 12040.41 - lr: 0.100000 2023-04-06 05:26:35,311 epoch 113 - iter 795/2650 - loss 0.08357468 - time (sec): 34.90 - samples/sec: 12768.77 - lr: 0.100000 2023-04-06 05:26:45,456 epoch 113 - iter 1060/2650 - loss 0.08398339 - time (sec): 45.05 - samples/sec: 13149.26 - lr: 0.100000 2023-04-06 05:26:55,610 epoch 113 - iter 1325/2650 - loss 0.08406345 - time (sec): 55.20 - samples/sec: 13382.68 - lr: 0.100000 2023-04-06 05:27:05,829 epoch 113 - iter 1590/2650 - loss 0.08407792 - time (sec): 65.42 - samples/sec: 13551.42 - lr: 0.100000 2023-04-06 05:27:15,952 epoch 113 - iter 1855/2650 - loss 0.08424942 - time (sec): 75.55 - samples/sec: 13684.53 - lr: 0.100000 2023-04-06 05:27:26,000 epoch 113 - iter 2120/2650 - loss 0.08458475 - time (sec): 85.59 - samples/sec: 13785.18 - lr: 0.100000 2023-04-06 05:27:36,125 epoch 113 - iter 2385/2650 - loss 0.08485825 - time (sec): 95.72 - samples/sec: 13865.32 - lr: 0.100000 2023-04-06 05:27:46,289 epoch 113 - iter 2650/2650 - loss 0.08496625 - time (sec): 105.88 - samples/sec: 13919.30 - lr: 0.100000 2023-04-06 05:27:46,290 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:27:46,290 EPOCH 113 done: loss 0.0850 - lr 0.100000 2023-04-06 05:27:46,290 BAD EPOCHS (no improvement): 3 2023-04-06 05:27:46,293 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:27:56,343 epoch 114 - iter 265/2650 - loss 0.08444100 - time (sec): 10.05 - samples/sec: 14530.11 - lr: 0.100000 2023-04-06 05:28:06,618 epoch 114 - iter 530/2650 - loss 0.08436213 - time (sec): 20.32 - samples/sec: 14464.62 - lr: 0.100000 2023-04-06 05:28:16,607 epoch 114 - iter 795/2650 - loss 0.08510608 - time (sec): 30.31 - samples/sec: 14471.42 - lr: 0.100000 2023-04-06 05:28:26,799 epoch 114 - iter 1060/2650 - loss 0.08546183 - time (sec): 40.51 - samples/sec: 14461.38 - lr: 0.100000 2023-04-06 05:28:37,088 epoch 114 - iter 1325/2650 - loss 0.08530369 - time (sec): 50.79 - samples/sec: 14448.59 - lr: 0.100000 2023-04-06 05:28:47,312 epoch 114 - iter 1590/2650 - loss 0.08491927 - time (sec): 61.02 - samples/sec: 14426.14 - lr: 0.100000 2023-04-06 05:28:57,624 epoch 114 - iter 1855/2650 - loss 0.08477310 - time (sec): 71.33 - samples/sec: 14431.41 - lr: 0.100000 2023-04-06 05:29:07,958 epoch 114 - iter 2120/2650 - loss 0.08486755 - time (sec): 81.66 - samples/sec: 14416.26 - lr: 0.100000 2023-04-06 05:29:18,195 epoch 114 - iter 2385/2650 - loss 0.08498770 - time (sec): 91.90 - samples/sec: 14422.69 - lr: 0.100000 2023-04-06 05:29:28,566 epoch 114 - iter 2650/2650 - loss 0.08499562 - time (sec): 102.27 - samples/sec: 14410.65 - lr: 0.100000 2023-04-06 05:29:28,567 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:29:28,567 EPOCH 114 done: loss 0.0850 - lr 0.100000 2023-04-06 05:29:28,567 Epoch 114: reducing learning rate of group 0 to 5.0000e-02. 2023-04-06 05:29:28,567 BAD EPOCHS (no improvement): 4 2023-04-06 05:29:28,571 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:29:38,803 epoch 115 - iter 265/2650 - loss 0.08072395 - time (sec): 10.23 - samples/sec: 14453.06 - lr: 0.050000 2023-04-06 05:29:49,068 epoch 115 - iter 530/2650 - loss 0.08030789 - time (sec): 20.50 - samples/sec: 14445.59 - lr: 0.050000 2023-04-06 05:29:59,384 epoch 115 - iter 795/2650 - loss 0.08017749 - time (sec): 30.81 - samples/sec: 14456.69 - lr: 0.050000 2023-04-06 05:30:09,631 epoch 115 - iter 1060/2650 - loss 0.07958167 - time (sec): 41.06 - samples/sec: 14439.35 - lr: 0.050000 2023-04-06 05:30:19,959 epoch 115 - iter 1325/2650 - loss 0.07973553 - time (sec): 51.39 - samples/sec: 14412.72 - lr: 0.050000 2023-04-06 05:30:30,233 epoch 115 - iter 1590/2650 - loss 0.07998099 - time (sec): 61.66 - samples/sec: 14413.48 - lr: 0.050000 2023-04-06 05:30:40,474 epoch 115 - iter 1855/2650 - loss 0.08016963 - time (sec): 71.90 - samples/sec: 14406.78 - lr: 0.050000 2023-04-06 05:30:50,623 epoch 115 - iter 2120/2650 - loss 0.07976818 - time (sec): 82.05 - samples/sec: 14402.95 - lr: 0.050000 2023-04-06 05:31:00,792 epoch 115 - iter 2385/2650 - loss 0.07988957 - time (sec): 92.22 - samples/sec: 14403.83 - lr: 0.050000 2023-04-06 05:31:10,950 epoch 115 - iter 2650/2650 - loss 0.07982406 - time (sec): 102.38 - samples/sec: 14395.82 - lr: 0.050000 2023-04-06 05:31:10,950 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:31:10,950 EPOCH 115 done: loss 0.0798 - lr 0.050000 2023-04-06 05:31:10,950 BAD EPOCHS (no improvement): 0 2023-04-06 05:31:10,955 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:31:21,092 epoch 116 - iter 265/2650 - loss 0.07479397 - time (sec): 10.14 - samples/sec: 14428.62 - lr: 0.050000 2023-04-06 05:31:31,242 epoch 116 - iter 530/2650 - loss 0.07541725 - time (sec): 20.29 - samples/sec: 14433.11 - lr: 0.050000 2023-04-06 05:31:41,332 epoch 116 - iter 795/2650 - loss 0.07624117 - time (sec): 30.38 - samples/sec: 14432.08 - lr: 0.050000 2023-04-06 05:31:51,630 epoch 116 - iter 1060/2650 - loss 0.07668081 - time (sec): 40.67 - samples/sec: 14411.66 - lr: 0.050000 2023-04-06 05:32:01,938 epoch 116 - iter 1325/2650 - loss 0.07732031 - time (sec): 50.98 - samples/sec: 14374.33 - lr: 0.050000 2023-04-06 05:32:12,248 epoch 116 - iter 1590/2650 - loss 0.07711708 - time (sec): 61.29 - samples/sec: 14367.11 - lr: 0.050000 2023-04-06 05:32:22,698 epoch 116 - iter 1855/2650 - loss 0.07729527 - time (sec): 71.74 - samples/sec: 14366.60 - lr: 0.050000 2023-04-06 05:32:32,922 epoch 116 - iter 2120/2650 - loss 0.07712799 - time (sec): 81.97 - samples/sec: 14378.91 - lr: 0.050000 2023-04-06 05:32:43,200 epoch 116 - iter 2385/2650 - loss 0.07693778 - time (sec): 92.24 - samples/sec: 14379.43 - lr: 0.050000 2023-04-06 05:32:53,395 epoch 116 - iter 2650/2650 - loss 0.07675975 - time (sec): 102.44 - samples/sec: 14387.17 - lr: 0.050000 2023-04-06 05:32:53,395 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:32:53,396 EPOCH 116 done: loss 0.0768 - lr 0.050000 2023-04-06 05:32:53,396 BAD EPOCHS (no improvement): 0 2023-04-06 05:32:53,399 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:33:03,648 epoch 117 - iter 265/2650 - loss 0.07630526 - time (sec): 10.25 - samples/sec: 14385.17 - lr: 0.050000 2023-04-06 05:33:13,803 epoch 117 - iter 530/2650 - loss 0.07505957 - time (sec): 20.40 - samples/sec: 14408.23 - lr: 0.050000 2023-04-06 05:33:24,004 epoch 117 - iter 795/2650 - loss 0.07515553 - time (sec): 30.60 - samples/sec: 14402.93 - lr: 0.050000 2023-04-06 05:33:34,184 epoch 117 - iter 1060/2650 - loss 0.07507908 - time (sec): 40.78 - samples/sec: 14381.47 - lr: 0.050000 2023-04-06 05:33:44,276 epoch 117 - iter 1325/2650 - loss 0.07534554 - time (sec): 50.88 - samples/sec: 14396.22 - lr: 0.050000 2023-04-06 05:33:54,567 epoch 117 - iter 1590/2650 - loss 0.07574163 - time (sec): 61.17 - samples/sec: 14390.23 - lr: 0.050000 2023-04-06 05:34:04,823 epoch 117 - iter 1855/2650 - loss 0.07633712 - time (sec): 71.42 - samples/sec: 14395.22 - lr: 0.050000 2023-04-06 05:34:15,204 epoch 117 - iter 2120/2650 - loss 0.07639056 - time (sec): 81.80 - samples/sec: 14404.53 - lr: 0.050000 2023-04-06 05:34:25,571 epoch 117 - iter 2385/2650 - loss 0.07650981 - time (sec): 92.17 - samples/sec: 14400.27 - lr: 0.050000 2023-04-06 05:34:35,836 epoch 117 - iter 2650/2650 - loss 0.07653889 - time (sec): 102.44 - samples/sec: 14387.70 - lr: 0.050000 2023-04-06 05:34:35,836 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:34:35,836 EPOCH 117 done: loss 0.0765 - lr 0.050000 2023-04-06 05:34:35,836 BAD EPOCHS (no improvement): 0 2023-04-06 05:34:35,840 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:34:46,025 epoch 118 - iter 265/2650 - loss 0.07565537 - time (sec): 10.18 - samples/sec: 14414.01 - lr: 0.050000 2023-04-06 05:34:56,335 epoch 118 - iter 530/2650 - loss 0.07655257 - time (sec): 20.49 - samples/sec: 14394.23 - lr: 0.050000 2023-04-06 05:35:06,636 epoch 118 - iter 795/2650 - loss 0.07663494 - time (sec): 30.80 - samples/sec: 14415.67 - lr: 0.050000 2023-04-06 05:35:16,884 epoch 118 - iter 1060/2650 - loss 0.07700656 - time (sec): 41.04 - samples/sec: 14390.84 - lr: 0.050000 2023-04-06 05:35:27,067 epoch 118 - iter 1325/2650 - loss 0.07672789 - time (sec): 51.23 - samples/sec: 14406.32 - lr: 0.050000 2023-04-06 05:35:37,103 epoch 118 - iter 1590/2650 - loss 0.07636292 - time (sec): 61.26 - samples/sec: 14417.85 - lr: 0.050000 2023-04-06 05:35:47,286 epoch 118 - iter 1855/2650 - loss 0.07648904 - time (sec): 71.45 - samples/sec: 14436.79 - lr: 0.050000 2023-04-06 05:35:57,446 epoch 118 - iter 2120/2650 - loss 0.07661261 - time (sec): 81.61 - samples/sec: 14445.87 - lr: 0.050000 2023-04-06 05:36:07,671 epoch 118 - iter 2385/2650 - loss 0.07663303 - time (sec): 91.83 - samples/sec: 14459.34 - lr: 0.050000 2023-04-06 05:36:17,720 epoch 118 - iter 2650/2650 - loss 0.07660689 - time (sec): 101.88 - samples/sec: 14466.27 - lr: 0.050000 2023-04-06 05:36:17,721 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:36:17,721 EPOCH 118 done: loss 0.0766 - lr 0.050000 2023-04-06 05:36:17,721 BAD EPOCHS (no improvement): 1 2023-04-06 05:36:17,724 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:36:27,628 epoch 119 - iter 265/2650 - loss 0.07719001 - time (sec): 9.90 - samples/sec: 14738.29 - lr: 0.050000 2023-04-06 05:36:42,078 epoch 119 - iter 530/2650 - loss 0.07533117 - time (sec): 24.35 - samples/sec: 11998.08 - lr: 0.050000 2023-04-06 05:36:51,972 epoch 119 - iter 795/2650 - loss 0.07508773 - time (sec): 34.25 - samples/sec: 12798.43 - lr: 0.050000 2023-04-06 05:37:02,100 epoch 119 - iter 1060/2650 - loss 0.07542025 - time (sec): 44.38 - samples/sec: 13208.54 - lr: 0.050000 2023-04-06 05:37:12,250 epoch 119 - iter 1325/2650 - loss 0.07580390 - time (sec): 54.53 - samples/sec: 13471.28 - lr: 0.050000 2023-04-06 05:37:22,636 epoch 119 - iter 1590/2650 - loss 0.07569584 - time (sec): 64.91 - samples/sec: 13625.77 - lr: 0.050000 2023-04-06 05:37:32,686 epoch 119 - iter 1855/2650 - loss 0.07571807 - time (sec): 74.96 - samples/sec: 13749.49 - lr: 0.050000 2023-04-06 05:37:42,900 epoch 119 - iter 2120/2650 - loss 0.07568211 - time (sec): 85.18 - samples/sec: 13843.46 - lr: 0.050000 2023-04-06 05:37:53,050 epoch 119 - iter 2385/2650 - loss 0.07584356 - time (sec): 95.33 - samples/sec: 13915.25 - lr: 0.050000 2023-04-06 05:38:03,277 epoch 119 - iter 2650/2650 - loss 0.07582098 - time (sec): 105.55 - samples/sec: 13962.89 - lr: 0.050000 2023-04-06 05:38:03,278 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:38:03,278 EPOCH 119 done: loss 0.0758 - lr 0.050000 2023-04-06 05:38:03,278 BAD EPOCHS (no improvement): 0 2023-04-06 05:38:03,282 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:38:13,564 epoch 120 - iter 265/2650 - loss 0.07618152 - time (sec): 10.28 - samples/sec: 14505.38 - lr: 0.050000 2023-04-06 05:38:23,643 epoch 120 - iter 530/2650 - loss 0.07549061 - time (sec): 20.36 - samples/sec: 14567.05 - lr: 0.050000 2023-04-06 05:38:33,757 epoch 120 - iter 795/2650 - loss 0.07491790 - time (sec): 30.47 - samples/sec: 14545.61 - lr: 0.050000 2023-04-06 05:38:43,804 epoch 120 - iter 1060/2650 - loss 0.07527088 - time (sec): 40.52 - samples/sec: 14564.45 - lr: 0.050000 2023-04-06 05:38:54,003 epoch 120 - iter 1325/2650 - loss 0.07492467 - time (sec): 50.72 - samples/sec: 14546.22 - lr: 0.050000 2023-04-06 05:39:04,029 epoch 120 - iter 1590/2650 - loss 0.07523061 - time (sec): 60.75 - samples/sec: 14554.03 - lr: 0.050000 2023-04-06 05:39:14,219 epoch 120 - iter 1855/2650 - loss 0.07544369 - time (sec): 70.94 - samples/sec: 14545.86 - lr: 0.050000 2023-04-06 05:39:24,378 epoch 120 - iter 2120/2650 - loss 0.07538245 - time (sec): 81.10 - samples/sec: 14545.85 - lr: 0.050000 2023-04-06 05:39:34,561 epoch 120 - iter 2385/2650 - loss 0.07551683 - time (sec): 91.28 - samples/sec: 14536.29 - lr: 0.050000 2023-04-06 05:39:44,637 epoch 120 - iter 2650/2650 - loss 0.07555902 - time (sec): 101.36 - samples/sec: 14541.16 - lr: 0.050000 2023-04-06 05:39:44,637 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:39:44,637 EPOCH 120 done: loss 0.0756 - lr 0.050000 2023-04-06 05:39:44,637 BAD EPOCHS (no improvement): 0 2023-04-06 05:39:44,641 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:39:54,796 epoch 121 - iter 265/2650 - loss 0.07277726 - time (sec): 10.16 - samples/sec: 14493.16 - lr: 0.050000 2023-04-06 05:40:04,869 epoch 121 - iter 530/2650 - loss 0.07497268 - time (sec): 20.23 - samples/sec: 14567.39 - lr: 0.050000 2023-04-06 05:40:14,930 epoch 121 - iter 795/2650 - loss 0.07476223 - time (sec): 30.29 - samples/sec: 14562.15 - lr: 0.050000 2023-04-06 05:40:25,087 epoch 121 - iter 1060/2650 - loss 0.07496630 - time (sec): 40.45 - samples/sec: 14552.49 - lr: 0.050000 2023-04-06 05:40:35,280 epoch 121 - iter 1325/2650 - loss 0.07452567 - time (sec): 50.64 - samples/sec: 14514.22 - lr: 0.050000 2023-04-06 05:40:45,596 epoch 121 - iter 1590/2650 - loss 0.07461301 - time (sec): 60.95 - samples/sec: 14494.42 - lr: 0.050000 2023-04-06 05:40:55,901 epoch 121 - iter 1855/2650 - loss 0.07474607 - time (sec): 71.26 - samples/sec: 14478.04 - lr: 0.050000 2023-04-06 05:41:06,049 epoch 121 - iter 2120/2650 - loss 0.07490983 - time (sec): 81.41 - samples/sec: 14471.34 - lr: 0.050000 2023-04-06 05:41:16,254 epoch 121 - iter 2385/2650 - loss 0.07486648 - time (sec): 91.61 - samples/sec: 14472.85 - lr: 0.050000 2023-04-06 05:41:26,546 epoch 121 - iter 2650/2650 - loss 0.07479346 - time (sec): 101.91 - samples/sec: 14462.64 - lr: 0.050000 2023-04-06 05:41:26,546 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:41:26,547 EPOCH 121 done: loss 0.0748 - lr 0.050000 2023-04-06 05:41:26,547 BAD EPOCHS (no improvement): 0 2023-04-06 05:41:26,554 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:41:36,609 epoch 122 - iter 265/2650 - loss 0.07302979 - time (sec): 10.06 - samples/sec: 14432.07 - lr: 0.050000 2023-04-06 05:41:46,686 epoch 122 - iter 530/2650 - loss 0.07265434 - time (sec): 20.13 - samples/sec: 14423.72 - lr: 0.050000 2023-04-06 05:41:56,886 epoch 122 - iter 795/2650 - loss 0.07250289 - time (sec): 30.33 - samples/sec: 14418.01 - lr: 0.050000 2023-04-06 05:42:07,279 epoch 122 - iter 1060/2650 - loss 0.07290962 - time (sec): 40.72 - samples/sec: 14408.50 - lr: 0.050000 2023-04-06 05:42:17,455 epoch 122 - iter 1325/2650 - loss 0.07330363 - time (sec): 50.90 - samples/sec: 14412.72 - lr: 0.050000 2023-04-06 05:42:27,794 epoch 122 - iter 1590/2650 - loss 0.07361541 - time (sec): 61.24 - samples/sec: 14404.42 - lr: 0.050000 2023-04-06 05:42:38,084 epoch 122 - iter 1855/2650 - loss 0.07395857 - time (sec): 71.53 - samples/sec: 14412.11 - lr: 0.050000 2023-04-06 05:42:48,403 epoch 122 - iter 2120/2650 - loss 0.07420531 - time (sec): 81.85 - samples/sec: 14423.06 - lr: 0.050000 2023-04-06 05:42:58,421 epoch 122 - iter 2385/2650 - loss 0.07411257 - time (sec): 91.87 - samples/sec: 14432.91 - lr: 0.050000 2023-04-06 05:43:08,733 epoch 122 - iter 2650/2650 - loss 0.07418415 - time (sec): 102.18 - samples/sec: 14423.99 - lr: 0.050000 2023-04-06 05:43:08,733 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:43:08,733 EPOCH 122 done: loss 0.0742 - lr 0.050000 2023-04-06 05:43:08,733 BAD EPOCHS (no improvement): 0 2023-04-06 05:43:08,737 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:43:18,861 epoch 123 - iter 265/2650 - loss 0.07541415 - time (sec): 10.12 - samples/sec: 14472.47 - lr: 0.050000 2023-04-06 05:43:29,122 epoch 123 - iter 530/2650 - loss 0.07505464 - time (sec): 20.38 - samples/sec: 14426.32 - lr: 0.050000 2023-04-06 05:43:39,271 epoch 123 - iter 795/2650 - loss 0.07412452 - time (sec): 30.53 - samples/sec: 14437.13 - lr: 0.050000 2023-04-06 05:43:49,462 epoch 123 - iter 1060/2650 - loss 0.07422116 - time (sec): 40.72 - samples/sec: 14423.31 - lr: 0.050000 2023-04-06 05:43:59,655 epoch 123 - iter 1325/2650 - loss 0.07449723 - time (sec): 50.92 - samples/sec: 14410.09 - lr: 0.050000 2023-04-06 05:44:09,892 epoch 123 - iter 1590/2650 - loss 0.07436845 - time (sec): 61.15 - samples/sec: 14396.15 - lr: 0.050000 2023-04-06 05:44:20,221 epoch 123 - iter 1855/2650 - loss 0.07418952 - time (sec): 71.48 - samples/sec: 14408.89 - lr: 0.050000 2023-04-06 05:44:30,371 epoch 123 - iter 2120/2650 - loss 0.07417569 - time (sec): 81.63 - samples/sec: 14415.25 - lr: 0.050000 2023-04-06 05:44:40,656 epoch 123 - iter 2385/2650 - loss 0.07397582 - time (sec): 91.92 - samples/sec: 14416.31 - lr: 0.050000 2023-04-06 05:44:50,972 epoch 123 - iter 2650/2650 - loss 0.07387657 - time (sec): 102.23 - samples/sec: 14416.08 - lr: 0.050000 2023-04-06 05:44:50,972 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:44:50,972 EPOCH 123 done: loss 0.0739 - lr 0.050000 2023-04-06 05:44:50,972 BAD EPOCHS (no improvement): 0 2023-04-06 05:44:50,976 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:45:01,140 epoch 124 - iter 265/2650 - loss 0.07351572 - time (sec): 10.16 - samples/sec: 14471.13 - lr: 0.050000 2023-04-06 05:45:11,249 epoch 124 - iter 530/2650 - loss 0.07403125 - time (sec): 20.27 - samples/sec: 14485.09 - lr: 0.050000 2023-04-06 05:45:21,469 epoch 124 - iter 795/2650 - loss 0.07358958 - time (sec): 30.49 - samples/sec: 14456.56 - lr: 0.050000 2023-04-06 05:45:31,674 epoch 124 - iter 1060/2650 - loss 0.07353978 - time (sec): 40.70 - samples/sec: 14443.66 - lr: 0.050000 2023-04-06 05:45:42,143 epoch 124 - iter 1325/2650 - loss 0.07391003 - time (sec): 51.17 - samples/sec: 14427.43 - lr: 0.050000 2023-04-06 05:45:52,244 epoch 124 - iter 1590/2650 - loss 0.07402756 - time (sec): 61.27 - samples/sec: 14440.37 - lr: 0.050000 2023-04-06 05:46:02,470 epoch 124 - iter 1855/2650 - loss 0.07373514 - time (sec): 71.49 - samples/sec: 14433.14 - lr: 0.050000 2023-04-06 05:46:12,760 epoch 124 - iter 2120/2650 - loss 0.07348650 - time (sec): 81.78 - samples/sec: 14423.31 - lr: 0.050000 2023-04-06 05:46:22,956 epoch 124 - iter 2385/2650 - loss 0.07365493 - time (sec): 91.98 - samples/sec: 14421.34 - lr: 0.050000 2023-04-06 05:46:33,211 epoch 124 - iter 2650/2650 - loss 0.07380678 - time (sec): 102.24 - samples/sec: 14415.96 - lr: 0.050000 2023-04-06 05:46:33,211 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:46:33,212 EPOCH 124 done: loss 0.0738 - lr 0.050000 2023-04-06 05:46:33,212 BAD EPOCHS (no improvement): 0 2023-04-06 05:46:33,215 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:46:43,356 epoch 125 - iter 265/2650 - loss 0.07391849 - time (sec): 10.14 - samples/sec: 14431.01 - lr: 0.050000 2023-04-06 05:46:53,542 epoch 125 - iter 530/2650 - loss 0.07294080 - time (sec): 20.33 - samples/sec: 14431.81 - lr: 0.050000 2023-04-06 05:47:03,749 epoch 125 - iter 795/2650 - loss 0.07365149 - time (sec): 30.53 - samples/sec: 14410.48 - lr: 0.050000 2023-04-06 05:47:18,094 epoch 125 - iter 1060/2650 - loss 0.07384150 - time (sec): 44.88 - samples/sec: 13072.98 - lr: 0.050000 2023-04-06 05:47:28,384 epoch 125 - iter 1325/2650 - loss 0.07418249 - time (sec): 55.17 - samples/sec: 13321.02 - lr: 0.050000 2023-04-06 05:47:38,607 epoch 125 - iter 1590/2650 - loss 0.07405702 - time (sec): 65.39 - samples/sec: 13496.45 - lr: 0.050000 2023-04-06 05:47:48,963 epoch 125 - iter 1855/2650 - loss 0.07362430 - time (sec): 75.75 - samples/sec: 13616.27 - lr: 0.050000 2023-04-06 05:47:59,206 epoch 125 - iter 2120/2650 - loss 0.07342182 - time (sec): 85.99 - samples/sec: 13712.09 - lr: 0.050000 2023-04-06 05:48:09,459 epoch 125 - iter 2385/2650 - loss 0.07320703 - time (sec): 96.24 - samples/sec: 13788.99 - lr: 0.050000 2023-04-06 05:48:19,575 epoch 125 - iter 2650/2650 - loss 0.07317767 - time (sec): 106.36 - samples/sec: 13856.89 - lr: 0.050000 2023-04-06 05:48:19,575 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:48:19,576 EPOCH 125 done: loss 0.0732 - lr 0.050000 2023-04-06 05:48:19,576 BAD EPOCHS (no improvement): 0 2023-04-06 05:48:19,580 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:48:29,818 epoch 126 - iter 265/2650 - loss 0.07167821 - time (sec): 10.24 - samples/sec: 14443.74 - lr: 0.050000 2023-04-06 05:48:39,821 epoch 126 - iter 530/2650 - loss 0.07282050 - time (sec): 20.24 - samples/sec: 14495.60 - lr: 0.050000 2023-04-06 05:48:50,221 epoch 126 - iter 795/2650 - loss 0.07251490 - time (sec): 30.64 - samples/sec: 14471.44 - lr: 0.050000 2023-04-06 05:49:00,278 epoch 126 - iter 1060/2650 - loss 0.07319843 - time (sec): 40.70 - samples/sec: 14473.27 - lr: 0.050000 2023-04-06 05:49:10,496 epoch 126 - iter 1325/2650 - loss 0.07329997 - time (sec): 50.92 - samples/sec: 14499.31 - lr: 0.050000 2023-04-06 05:49:20,656 epoch 126 - iter 1590/2650 - loss 0.07356355 - time (sec): 61.08 - samples/sec: 14509.92 - lr: 0.050000 2023-04-06 05:49:30,688 epoch 126 - iter 1855/2650 - loss 0.07306954 - time (sec): 71.11 - samples/sec: 14518.67 - lr: 0.050000 2023-04-06 05:49:40,696 epoch 126 - iter 2120/2650 - loss 0.07311298 - time (sec): 81.12 - samples/sec: 14520.81 - lr: 0.050000 2023-04-06 05:49:50,868 epoch 126 - iter 2385/2650 - loss 0.07330760 - time (sec): 91.29 - samples/sec: 14519.27 - lr: 0.050000 2023-04-06 05:50:01,207 epoch 126 - iter 2650/2650 - loss 0.07334427 - time (sec): 101.63 - samples/sec: 14502.27 - lr: 0.050000 2023-04-06 05:50:01,207 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:50:01,207 EPOCH 126 done: loss 0.0733 - lr 0.050000 2023-04-06 05:50:01,207 BAD EPOCHS (no improvement): 1 2023-04-06 05:50:01,210 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:50:11,408 epoch 127 - iter 265/2650 - loss 0.07160410 - time (sec): 10.20 - samples/sec: 14374.47 - lr: 0.050000 2023-04-06 05:50:21,602 epoch 127 - iter 530/2650 - loss 0.07257429 - time (sec): 20.39 - samples/sec: 14387.75 - lr: 0.050000 2023-04-06 05:50:31,656 epoch 127 - iter 795/2650 - loss 0.07209163 - time (sec): 30.45 - samples/sec: 14417.69 - lr: 0.050000 2023-04-06 05:50:41,679 epoch 127 - iter 1060/2650 - loss 0.07199916 - time (sec): 40.47 - samples/sec: 14421.23 - lr: 0.050000 2023-04-06 05:50:51,934 epoch 127 - iter 1325/2650 - loss 0.07238051 - time (sec): 50.72 - samples/sec: 14421.84 - lr: 0.050000 2023-04-06 05:51:02,259 epoch 127 - iter 1590/2650 - loss 0.07271980 - time (sec): 61.05 - samples/sec: 14400.58 - lr: 0.050000 2023-04-06 05:51:12,528 epoch 127 - iter 1855/2650 - loss 0.07290998 - time (sec): 71.32 - samples/sec: 14420.05 - lr: 0.050000 2023-04-06 05:51:22,807 epoch 127 - iter 2120/2650 - loss 0.07288362 - time (sec): 81.60 - samples/sec: 14411.68 - lr: 0.050000 2023-04-06 05:51:33,156 epoch 127 - iter 2385/2650 - loss 0.07302029 - time (sec): 91.95 - samples/sec: 14411.96 - lr: 0.050000 2023-04-06 05:51:43,501 epoch 127 - iter 2650/2650 - loss 0.07312318 - time (sec): 102.29 - samples/sec: 14408.13 - lr: 0.050000 2023-04-06 05:51:43,501 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:51:43,502 EPOCH 127 done: loss 0.0731 - lr 0.050000 2023-04-06 05:51:43,502 BAD EPOCHS (no improvement): 0 2023-04-06 05:51:43,508 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:51:53,537 epoch 128 - iter 265/2650 - loss 0.06989096 - time (sec): 10.03 - samples/sec: 14470.25 - lr: 0.050000 2023-04-06 05:52:03,938 epoch 128 - iter 530/2650 - loss 0.07180639 - time (sec): 20.43 - samples/sec: 14381.90 - lr: 0.050000 2023-04-06 05:52:14,103 epoch 128 - iter 795/2650 - loss 0.07185783 - time (sec): 30.59 - samples/sec: 14458.67 - lr: 0.050000 2023-04-06 05:52:24,213 epoch 128 - iter 1060/2650 - loss 0.07168462 - time (sec): 40.70 - samples/sec: 14480.03 - lr: 0.050000 2023-04-06 05:52:34,349 epoch 128 - iter 1325/2650 - loss 0.07220237 - time (sec): 50.84 - samples/sec: 14489.83 - lr: 0.050000 2023-04-06 05:52:44,507 epoch 128 - iter 1590/2650 - loss 0.07222181 - time (sec): 61.00 - samples/sec: 14497.27 - lr: 0.050000 2023-04-06 05:52:54,658 epoch 128 - iter 1855/2650 - loss 0.07200144 - time (sec): 71.15 - samples/sec: 14493.66 - lr: 0.050000 2023-04-06 05:53:04,936 epoch 128 - iter 2120/2650 - loss 0.07188980 - time (sec): 81.43 - samples/sec: 14485.94 - lr: 0.050000 2023-04-06 05:53:15,132 epoch 128 - iter 2385/2650 - loss 0.07188923 - time (sec): 91.62 - samples/sec: 14491.54 - lr: 0.050000 2023-04-06 05:53:25,177 epoch 128 - iter 2650/2650 - loss 0.07194620 - time (sec): 101.67 - samples/sec: 14496.31 - lr: 0.050000 2023-04-06 05:53:25,177 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:53:25,177 EPOCH 128 done: loss 0.0719 - lr 0.050000 2023-04-06 05:53:25,177 BAD EPOCHS (no improvement): 0 2023-04-06 05:53:25,180 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:53:35,359 epoch 129 - iter 265/2650 - loss 0.07123884 - time (sec): 10.18 - samples/sec: 14543.25 - lr: 0.050000 2023-04-06 05:53:45,517 epoch 129 - iter 530/2650 - loss 0.07085253 - time (sec): 20.34 - samples/sec: 14531.59 - lr: 0.050000 2023-04-06 05:53:55,683 epoch 129 - iter 795/2650 - loss 0.07149990 - time (sec): 30.50 - samples/sec: 14536.78 - lr: 0.050000 2023-04-06 05:54:05,874 epoch 129 - iter 1060/2650 - loss 0.07223179 - time (sec): 40.69 - samples/sec: 14552.63 - lr: 0.050000 2023-04-06 05:54:16,102 epoch 129 - iter 1325/2650 - loss 0.07217718 - time (sec): 50.92 - samples/sec: 14540.66 - lr: 0.050000 2023-04-06 05:54:26,075 epoch 129 - iter 1590/2650 - loss 0.07211040 - time (sec): 60.90 - samples/sec: 14540.68 - lr: 0.050000 2023-04-06 05:54:36,332 epoch 129 - iter 1855/2650 - loss 0.07235703 - time (sec): 71.15 - samples/sec: 14521.94 - lr: 0.050000 2023-04-06 05:54:46,460 epoch 129 - iter 2120/2650 - loss 0.07221692 - time (sec): 81.28 - samples/sec: 14507.39 - lr: 0.050000 2023-04-06 05:54:56,740 epoch 129 - iter 2385/2650 - loss 0.07219341 - time (sec): 91.56 - samples/sec: 14492.69 - lr: 0.050000 2023-04-06 05:55:06,874 epoch 129 - iter 2650/2650 - loss 0.07216985 - time (sec): 101.69 - samples/sec: 14492.73 - lr: 0.050000 2023-04-06 05:55:06,874 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:55:06,874 EPOCH 129 done: loss 0.0722 - lr 0.050000 2023-04-06 05:55:06,874 BAD EPOCHS (no improvement): 1 2023-04-06 05:55:06,878 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:55:16,856 epoch 130 - iter 265/2650 - loss 0.07156777 - time (sec): 9.98 - samples/sec: 14478.19 - lr: 0.050000 2023-04-06 05:55:26,846 epoch 130 - iter 530/2650 - loss 0.07192180 - time (sec): 19.97 - samples/sec: 14472.30 - lr: 0.050000 2023-04-06 05:55:37,157 epoch 130 - iter 795/2650 - loss 0.07187552 - time (sec): 30.28 - samples/sec: 14438.58 - lr: 0.050000 2023-04-06 05:55:47,423 epoch 130 - iter 1060/2650 - loss 0.07114642 - time (sec): 40.54 - samples/sec: 14452.01 - lr: 0.050000 2023-04-06 05:55:57,650 epoch 130 - iter 1325/2650 - loss 0.07148242 - time (sec): 50.77 - samples/sec: 14455.08 - lr: 0.050000 2023-04-06 05:56:07,746 epoch 130 - iter 1590/2650 - loss 0.07141457 - time (sec): 60.87 - samples/sec: 14451.09 - lr: 0.050000 2023-04-06 05:56:18,151 epoch 130 - iter 1855/2650 - loss 0.07166190 - time (sec): 71.27 - samples/sec: 14452.68 - lr: 0.050000 2023-04-06 05:56:28,360 epoch 130 - iter 2120/2650 - loss 0.07158339 - time (sec): 81.48 - samples/sec: 14453.90 - lr: 0.050000 2023-04-06 05:56:38,583 epoch 130 - iter 2385/2650 - loss 0.07180347 - time (sec): 91.70 - samples/sec: 14457.54 - lr: 0.050000 2023-04-06 05:56:48,748 epoch 130 - iter 2650/2650 - loss 0.07183069 - time (sec): 101.87 - samples/sec: 14467.78 - lr: 0.050000 2023-04-06 05:56:48,748 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:56:48,748 EPOCH 130 done: loss 0.0718 - lr 0.050000 2023-04-06 05:56:48,748 BAD EPOCHS (no improvement): 0 2023-04-06 05:56:48,752 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:56:58,832 epoch 131 - iter 265/2650 - loss 0.06993547 - time (sec): 10.08 - samples/sec: 14612.44 - lr: 0.050000 2023-04-06 05:57:08,954 epoch 131 - iter 530/2650 - loss 0.07190945 - time (sec): 20.20 - samples/sec: 14560.77 - lr: 0.050000 2023-04-06 05:57:19,046 epoch 131 - iter 795/2650 - loss 0.07103220 - time (sec): 30.29 - samples/sec: 14555.33 - lr: 0.050000 2023-04-06 05:57:29,205 epoch 131 - iter 1060/2650 - loss 0.07131628 - time (sec): 40.45 - samples/sec: 14532.07 - lr: 0.050000 2023-04-06 05:57:39,283 epoch 131 - iter 1325/2650 - loss 0.07147848 - time (sec): 50.53 - samples/sec: 14535.06 - lr: 0.050000 2023-04-06 05:57:53,671 epoch 131 - iter 1590/2650 - loss 0.07175252 - time (sec): 64.92 - samples/sec: 13547.09 - lr: 0.050000 2023-04-06 05:58:03,800 epoch 131 - iter 1855/2650 - loss 0.07177452 - time (sec): 75.05 - samples/sec: 13701.79 - lr: 0.050000 2023-04-06 05:58:14,101 epoch 131 - iter 2120/2650 - loss 0.07197258 - time (sec): 85.35 - samples/sec: 13794.93 - lr: 0.050000 2023-04-06 05:58:24,353 epoch 131 - iter 2385/2650 - loss 0.07202037 - time (sec): 95.60 - samples/sec: 13872.21 - lr: 0.050000 2023-04-06 05:58:34,584 epoch 131 - iter 2650/2650 - loss 0.07189353 - time (sec): 105.83 - samples/sec: 13926.05 - lr: 0.050000 2023-04-06 05:58:34,584 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:58:34,584 EPOCH 131 done: loss 0.0719 - lr 0.050000 2023-04-06 05:58:34,584 BAD EPOCHS (no improvement): 1 2023-04-06 05:58:34,588 ---------------------------------------------------------------------------------------------------- 2023-04-06 05:58:44,803 epoch 132 - iter 265/2650 - loss 0.07069847 - time (sec): 10.22 - samples/sec: 14417.58 - lr: 0.050000 2023-04-06 05:58:55,150 epoch 132 - iter 530/2650 - loss 0.07182581 - time (sec): 20.56 - samples/sec: 14405.96 - lr: 0.050000 2023-04-06 05:59:05,340 epoch 132 - iter 795/2650 - loss 0.07104858 - time (sec): 30.75 - samples/sec: 14453.65 - lr: 0.050000 2023-04-06 05:59:15,603 epoch 132 - iter 1060/2650 - loss 0.07144458 - time (sec): 41.01 - samples/sec: 14453.48 - lr: 0.050000 2023-04-06 05:59:25,730 epoch 132 - iter 1325/2650 - loss 0.07136200 - time (sec): 51.14 - samples/sec: 14454.65 - lr: 0.050000 2023-04-06 05:59:35,912 epoch 132 - iter 1590/2650 - loss 0.07137759 - time (sec): 61.32 - samples/sec: 14448.67 - lr: 0.050000 2023-04-06 05:59:46,123 epoch 132 - iter 1855/2650 - loss 0.07181440 - time (sec): 71.54 - samples/sec: 14449.56 - lr: 0.050000 2023-04-06 05:59:56,290 epoch 132 - iter 2120/2650 - loss 0.07169080 - time (sec): 81.70 - samples/sec: 14448.38 - lr: 0.050000 2023-04-06 06:00:06,461 epoch 132 - iter 2385/2650 - loss 0.07159183 - time (sec): 91.87 - samples/sec: 14456.25 - lr: 0.050000 2023-04-06 06:00:16,531 epoch 132 - iter 2650/2650 - loss 0.07164641 - time (sec): 101.94 - samples/sec: 14457.35 - lr: 0.050000 2023-04-06 06:00:16,531 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:00:16,531 EPOCH 132 done: loss 0.0716 - lr 0.050000 2023-04-06 06:00:16,531 BAD EPOCHS (no improvement): 0 2023-04-06 06:00:16,534 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:00:26,709 epoch 133 - iter 265/2650 - loss 0.06991611 - time (sec): 10.17 - samples/sec: 14402.87 - lr: 0.050000 2023-04-06 06:00:37,031 epoch 133 - iter 530/2650 - loss 0.06962504 - time (sec): 20.50 - samples/sec: 14403.43 - lr: 0.050000 2023-04-06 06:00:47,208 epoch 133 - iter 795/2650 - loss 0.07018914 - time (sec): 30.67 - samples/sec: 14436.78 - lr: 0.050000 2023-04-06 06:00:57,486 epoch 133 - iter 1060/2650 - loss 0.07020071 - time (sec): 40.95 - samples/sec: 14449.91 - lr: 0.050000 2023-04-06 06:01:07,692 epoch 133 - iter 1325/2650 - loss 0.07057650 - time (sec): 51.16 - samples/sec: 14454.09 - lr: 0.050000 2023-04-06 06:01:17,710 epoch 133 - iter 1590/2650 - loss 0.07023432 - time (sec): 61.18 - samples/sec: 14459.35 - lr: 0.050000 2023-04-06 06:01:27,862 epoch 133 - iter 1855/2650 - loss 0.07044292 - time (sec): 71.33 - samples/sec: 14464.60 - lr: 0.050000 2023-04-06 06:01:38,004 epoch 133 - iter 2120/2650 - loss 0.07083787 - time (sec): 81.47 - samples/sec: 14462.61 - lr: 0.050000 2023-04-06 06:01:48,257 epoch 133 - iter 2385/2650 - loss 0.07100420 - time (sec): 91.72 - samples/sec: 14462.41 - lr: 0.050000 2023-04-06 06:01:58,379 epoch 133 - iter 2650/2650 - loss 0.07097400 - time (sec): 101.84 - samples/sec: 14471.28 - lr: 0.050000 2023-04-06 06:01:58,379 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:01:58,379 EPOCH 133 done: loss 0.0710 - lr 0.050000 2023-04-06 06:01:58,379 BAD EPOCHS (no improvement): 0 2023-04-06 06:01:58,386 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:02:08,616 epoch 134 - iter 265/2650 - loss 0.06938914 - time (sec): 10.23 - samples/sec: 14399.83 - lr: 0.050000 2023-04-06 06:02:18,828 epoch 134 - iter 530/2650 - loss 0.07091000 - time (sec): 20.44 - samples/sec: 14470.68 - lr: 0.050000 2023-04-06 06:02:29,179 epoch 134 - iter 795/2650 - loss 0.07105165 - time (sec): 30.79 - samples/sec: 14442.42 - lr: 0.050000 2023-04-06 06:02:39,270 epoch 134 - iter 1060/2650 - loss 0.07097038 - time (sec): 40.88 - samples/sec: 14465.42 - lr: 0.050000 2023-04-06 06:02:49,487 epoch 134 - iter 1325/2650 - loss 0.07110510 - time (sec): 51.10 - samples/sec: 14450.91 - lr: 0.050000 2023-04-06 06:02:59,531 epoch 134 - iter 1590/2650 - loss 0.07119903 - time (sec): 61.15 - samples/sec: 14462.03 - lr: 0.050000 2023-04-06 06:03:09,841 epoch 134 - iter 1855/2650 - loss 0.07150678 - time (sec): 71.46 - samples/sec: 14447.37 - lr: 0.050000 2023-04-06 06:03:19,950 epoch 134 - iter 2120/2650 - loss 0.07148234 - time (sec): 81.56 - samples/sec: 14460.81 - lr: 0.050000 2023-04-06 06:03:30,042 epoch 134 - iter 2385/2650 - loss 0.07155171 - time (sec): 91.66 - samples/sec: 14461.43 - lr: 0.050000 2023-04-06 06:03:40,225 epoch 134 - iter 2650/2650 - loss 0.07145287 - time (sec): 101.84 - samples/sec: 14472.10 - lr: 0.050000 2023-04-06 06:03:40,225 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:03:40,225 EPOCH 134 done: loss 0.0715 - lr 0.050000 2023-04-06 06:03:40,225 BAD EPOCHS (no improvement): 1 2023-04-06 06:03:40,231 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:03:50,425 epoch 135 - iter 265/2650 - loss 0.06982390 - time (sec): 10.19 - samples/sec: 14519.77 - lr: 0.050000 2023-04-06 06:04:00,724 epoch 135 - iter 530/2650 - loss 0.07016826 - time (sec): 20.49 - samples/sec: 14527.25 - lr: 0.050000 2023-04-06 06:04:10,855 epoch 135 - iter 795/2650 - loss 0.07108229 - time (sec): 30.62 - samples/sec: 14485.53 - lr: 0.050000 2023-04-06 06:04:21,016 epoch 135 - iter 1060/2650 - loss 0.07095020 - time (sec): 40.78 - samples/sec: 14462.05 - lr: 0.050000 2023-04-06 06:04:31,156 epoch 135 - iter 1325/2650 - loss 0.07063523 - time (sec): 50.92 - samples/sec: 14472.47 - lr: 0.050000 2023-04-06 06:04:41,353 epoch 135 - iter 1590/2650 - loss 0.07080118 - time (sec): 61.12 - samples/sec: 14463.80 - lr: 0.050000 2023-04-06 06:04:51,584 epoch 135 - iter 1855/2650 - loss 0.07052857 - time (sec): 71.35 - samples/sec: 14461.71 - lr: 0.050000 2023-04-06 06:05:01,956 epoch 135 - iter 2120/2650 - loss 0.07081092 - time (sec): 81.73 - samples/sec: 14444.21 - lr: 0.050000 2023-04-06 06:05:12,287 epoch 135 - iter 2385/2650 - loss 0.07094031 - time (sec): 92.06 - samples/sec: 14439.95 - lr: 0.050000 2023-04-06 06:05:22,352 epoch 135 - iter 2650/2650 - loss 0.07083522 - time (sec): 102.12 - samples/sec: 14432.18 - lr: 0.050000 2023-04-06 06:05:22,352 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:05:22,352 EPOCH 135 done: loss 0.0708 - lr 0.050000 2023-04-06 06:05:22,352 BAD EPOCHS (no improvement): 0 2023-04-06 06:05:22,356 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:05:32,631 epoch 136 - iter 265/2650 - loss 0.07030095 - time (sec): 10.28 - samples/sec: 14492.94 - lr: 0.050000 2023-04-06 06:05:42,891 epoch 136 - iter 530/2650 - loss 0.07171919 - time (sec): 20.53 - samples/sec: 14433.77 - lr: 0.050000 2023-04-06 06:05:53,260 epoch 136 - iter 795/2650 - loss 0.07081465 - time (sec): 30.90 - samples/sec: 14392.94 - lr: 0.050000 2023-04-06 06:06:03,574 epoch 136 - iter 1060/2650 - loss 0.07048184 - time (sec): 41.22 - samples/sec: 14387.56 - lr: 0.050000 2023-04-06 06:06:13,552 epoch 136 - iter 1325/2650 - loss 0.07057184 - time (sec): 51.20 - samples/sec: 14420.30 - lr: 0.050000 2023-04-06 06:06:23,806 epoch 136 - iter 1590/2650 - loss 0.07066760 - time (sec): 61.45 - samples/sec: 14417.83 - lr: 0.050000 2023-04-06 06:06:33,870 epoch 136 - iter 1855/2650 - loss 0.07087409 - time (sec): 71.51 - samples/sec: 14423.24 - lr: 0.050000 2023-04-06 06:06:44,149 epoch 136 - iter 2120/2650 - loss 0.07074231 - time (sec): 81.79 - samples/sec: 14409.35 - lr: 0.050000 2023-04-06 06:06:54,355 epoch 136 - iter 2385/2650 - loss 0.07080621 - time (sec): 92.00 - samples/sec: 14414.68 - lr: 0.050000 2023-04-06 06:07:04,623 epoch 136 - iter 2650/2650 - loss 0.07089156 - time (sec): 102.27 - samples/sec: 14411.57 - lr: 0.050000 2023-04-06 06:07:04,623 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:07:04,623 EPOCH 136 done: loss 0.0709 - lr 0.050000 2023-04-06 06:07:04,623 BAD EPOCHS (no improvement): 1 2023-04-06 06:07:04,627 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:07:14,874 epoch 137 - iter 265/2650 - loss 0.06892503 - time (sec): 10.25 - samples/sec: 14461.33 - lr: 0.050000 2023-04-06 06:07:25,251 epoch 137 - iter 530/2650 - loss 0.07017638 - time (sec): 20.62 - samples/sec: 14410.79 - lr: 0.050000 2023-04-06 06:07:35,403 epoch 137 - iter 795/2650 - loss 0.07021715 - time (sec): 30.78 - samples/sec: 14409.18 - lr: 0.050000 2023-04-06 06:07:45,576 epoch 137 - iter 1060/2650 - loss 0.06961045 - time (sec): 40.95 - samples/sec: 14411.43 - lr: 0.050000 2023-04-06 06:07:55,771 epoch 137 - iter 1325/2650 - loss 0.06971019 - time (sec): 51.14 - samples/sec: 14435.50 - lr: 0.050000 2023-04-06 06:08:05,834 epoch 137 - iter 1590/2650 - loss 0.06954130 - time (sec): 61.21 - samples/sec: 14460.72 - lr: 0.050000 2023-04-06 06:08:16,069 epoch 137 - iter 1855/2650 - loss 0.06996827 - time (sec): 71.44 - samples/sec: 14453.05 - lr: 0.050000 2023-04-06 06:08:30,591 epoch 137 - iter 2120/2650 - loss 0.07013308 - time (sec): 85.96 - samples/sec: 13723.84 - lr: 0.050000 2023-04-06 06:08:40,718 epoch 137 - iter 2385/2650 - loss 0.06997085 - time (sec): 96.09 - samples/sec: 13816.13 - lr: 0.050000 2023-04-06 06:08:50,818 epoch 137 - iter 2650/2650 - loss 0.07017596 - time (sec): 106.19 - samples/sec: 13879.05 - lr: 0.050000 2023-04-06 06:08:50,818 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:08:50,818 EPOCH 137 done: loss 0.0702 - lr 0.050000 2023-04-06 06:08:50,818 BAD EPOCHS (no improvement): 0 2023-04-06 06:08:50,821 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:09:00,882 epoch 138 - iter 265/2650 - loss 0.06989798 - time (sec): 10.06 - samples/sec: 14486.78 - lr: 0.050000 2023-04-06 06:09:11,028 epoch 138 - iter 530/2650 - loss 0.07207804 - time (sec): 20.21 - samples/sec: 14557.45 - lr: 0.050000 2023-04-06 06:09:21,296 epoch 138 - iter 795/2650 - loss 0.07209954 - time (sec): 30.47 - samples/sec: 14540.31 - lr: 0.050000 2023-04-06 06:09:31,556 epoch 138 - iter 1060/2650 - loss 0.07185692 - time (sec): 40.73 - samples/sec: 14537.57 - lr: 0.050000 2023-04-06 06:09:41,739 epoch 138 - iter 1325/2650 - loss 0.07156425 - time (sec): 50.92 - samples/sec: 14521.27 - lr: 0.050000 2023-04-06 06:09:51,846 epoch 138 - iter 1590/2650 - loss 0.07136113 - time (sec): 61.02 - samples/sec: 14517.76 - lr: 0.050000 2023-04-06 06:10:01,905 epoch 138 - iter 1855/2650 - loss 0.07132167 - time (sec): 71.08 - samples/sec: 14528.73 - lr: 0.050000 2023-04-06 06:10:12,064 epoch 138 - iter 2120/2650 - loss 0.07091307 - time (sec): 81.24 - samples/sec: 14532.18 - lr: 0.050000 2023-04-06 06:10:22,405 epoch 138 - iter 2385/2650 - loss 0.07084835 - time (sec): 91.58 - samples/sec: 14505.38 - lr: 0.050000 2023-04-06 06:10:32,412 epoch 138 - iter 2650/2650 - loss 0.07060385 - time (sec): 101.59 - samples/sec: 14507.43 - lr: 0.050000 2023-04-06 06:10:32,412 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:10:32,412 EPOCH 138 done: loss 0.0706 - lr 0.050000 2023-04-06 06:10:32,413 BAD EPOCHS (no improvement): 1 2023-04-06 06:10:32,417 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:10:42,705 epoch 139 - iter 265/2650 - loss 0.06964083 - time (sec): 10.29 - samples/sec: 14397.90 - lr: 0.050000 2023-04-06 06:10:52,848 epoch 139 - iter 530/2650 - loss 0.06934608 - time (sec): 20.43 - samples/sec: 14425.31 - lr: 0.050000 2023-04-06 06:11:03,110 epoch 139 - iter 795/2650 - loss 0.06940262 - time (sec): 30.69 - samples/sec: 14433.42 - lr: 0.050000 2023-04-06 06:11:13,287 epoch 139 - iter 1060/2650 - loss 0.06906814 - time (sec): 40.87 - samples/sec: 14443.76 - lr: 0.050000 2023-04-06 06:11:23,356 epoch 139 - iter 1325/2650 - loss 0.06936961 - time (sec): 50.94 - samples/sec: 14437.01 - lr: 0.050000 2023-04-06 06:11:33,539 epoch 139 - iter 1590/2650 - loss 0.06895254 - time (sec): 61.12 - samples/sec: 14453.04 - lr: 0.050000 2023-04-06 06:11:43,811 epoch 139 - iter 1855/2650 - loss 0.06939724 - time (sec): 71.39 - samples/sec: 14444.98 - lr: 0.050000 2023-04-06 06:11:53,929 epoch 139 - iter 2120/2650 - loss 0.06946709 - time (sec): 81.51 - samples/sec: 14451.68 - lr: 0.050000 2023-04-06 06:12:04,218 epoch 139 - iter 2385/2650 - loss 0.06951387 - time (sec): 91.80 - samples/sec: 14452.74 - lr: 0.050000 2023-04-06 06:12:14,416 epoch 139 - iter 2650/2650 - loss 0.06952088 - time (sec): 102.00 - samples/sec: 14449.34 - lr: 0.050000 2023-04-06 06:12:14,417 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:12:14,417 EPOCH 139 done: loss 0.0695 - lr 0.050000 2023-04-06 06:12:14,417 BAD EPOCHS (no improvement): 0 2023-04-06 06:12:14,424 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:12:24,567 epoch 140 - iter 265/2650 - loss 0.06958310 - time (sec): 10.14 - samples/sec: 14504.85 - lr: 0.050000 2023-04-06 06:12:34,672 epoch 140 - iter 530/2650 - loss 0.06872336 - time (sec): 20.25 - samples/sec: 14479.22 - lr: 0.050000 2023-04-06 06:12:44,890 epoch 140 - iter 795/2650 - loss 0.06955041 - time (sec): 30.47 - samples/sec: 14447.29 - lr: 0.050000 2023-04-06 06:12:55,120 epoch 140 - iter 1060/2650 - loss 0.06986238 - time (sec): 40.70 - samples/sec: 14439.30 - lr: 0.050000 2023-04-06 06:13:05,385 epoch 140 - iter 1325/2650 - loss 0.06968415 - time (sec): 50.96 - samples/sec: 14465.52 - lr: 0.050000 2023-04-06 06:13:15,692 epoch 140 - iter 1590/2650 - loss 0.06969235 - time (sec): 61.27 - samples/sec: 14447.28 - lr: 0.050000 2023-04-06 06:13:25,846 epoch 140 - iter 1855/2650 - loss 0.06949556 - time (sec): 71.42 - samples/sec: 14445.47 - lr: 0.050000 2023-04-06 06:13:36,046 epoch 140 - iter 2120/2650 - loss 0.06976983 - time (sec): 81.62 - samples/sec: 14437.73 - lr: 0.050000 2023-04-06 06:13:46,282 epoch 140 - iter 2385/2650 - loss 0.06985533 - time (sec): 91.86 - samples/sec: 14449.01 - lr: 0.050000 2023-04-06 06:13:56,467 epoch 140 - iter 2650/2650 - loss 0.06991413 - time (sec): 102.04 - samples/sec: 14443.17 - lr: 0.050000 2023-04-06 06:13:56,467 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:13:56,467 EPOCH 140 done: loss 0.0699 - lr 0.050000 2023-04-06 06:13:56,467 BAD EPOCHS (no improvement): 1 2023-04-06 06:13:56,471 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:14:06,661 epoch 141 - iter 265/2650 - loss 0.06797319 - time (sec): 10.19 - samples/sec: 14467.82 - lr: 0.050000 2023-04-06 06:14:16,784 epoch 141 - iter 530/2650 - loss 0.06856668 - time (sec): 20.31 - samples/sec: 14442.56 - lr: 0.050000 2023-04-06 06:14:26,809 epoch 141 - iter 795/2650 - loss 0.06895352 - time (sec): 30.34 - samples/sec: 14499.48 - lr: 0.050000 2023-04-06 06:14:37,119 epoch 141 - iter 1060/2650 - loss 0.06855669 - time (sec): 40.65 - samples/sec: 14474.49 - lr: 0.050000 2023-04-06 06:14:47,293 epoch 141 - iter 1325/2650 - loss 0.06889422 - time (sec): 50.82 - samples/sec: 14472.69 - lr: 0.050000 2023-04-06 06:14:57,526 epoch 141 - iter 1590/2650 - loss 0.06879491 - time (sec): 61.05 - samples/sec: 14469.20 - lr: 0.050000 2023-04-06 06:15:07,640 epoch 141 - iter 1855/2650 - loss 0.06893479 - time (sec): 71.17 - samples/sec: 14472.83 - lr: 0.050000 2023-04-06 06:15:17,772 epoch 141 - iter 2120/2650 - loss 0.06930550 - time (sec): 81.30 - samples/sec: 14480.61 - lr: 0.050000 2023-04-06 06:15:27,926 epoch 141 - iter 2385/2650 - loss 0.06936587 - time (sec): 91.45 - samples/sec: 14482.47 - lr: 0.050000 2023-04-06 06:15:38,262 epoch 141 - iter 2650/2650 - loss 0.06959428 - time (sec): 101.79 - samples/sec: 14478.93 - lr: 0.050000 2023-04-06 06:15:38,262 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:15:38,262 EPOCH 141 done: loss 0.0696 - lr 0.050000 2023-04-06 06:15:38,262 BAD EPOCHS (no improvement): 2 2023-04-06 06:15:38,266 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:15:48,553 epoch 142 - iter 265/2650 - loss 0.06992317 - time (sec): 10.29 - samples/sec: 14332.70 - lr: 0.050000 2023-04-06 06:15:58,725 epoch 142 - iter 530/2650 - loss 0.06893254 - time (sec): 20.46 - samples/sec: 14405.28 - lr: 0.050000 2023-04-06 06:16:08,823 epoch 142 - iter 795/2650 - loss 0.06900064 - time (sec): 30.56 - samples/sec: 14438.05 - lr: 0.050000 2023-04-06 06:16:19,298 epoch 142 - iter 1060/2650 - loss 0.06885106 - time (sec): 41.03 - samples/sec: 14365.83 - lr: 0.050000 2023-04-06 06:16:29,463 epoch 142 - iter 1325/2650 - loss 0.06882324 - time (sec): 51.20 - samples/sec: 14394.21 - lr: 0.050000 2023-04-06 06:16:39,689 epoch 142 - iter 1590/2650 - loss 0.06927915 - time (sec): 61.42 - samples/sec: 14409.41 - lr: 0.050000 2023-04-06 06:16:49,944 epoch 142 - iter 1855/2650 - loss 0.06929636 - time (sec): 71.68 - samples/sec: 14403.35 - lr: 0.050000 2023-04-06 06:17:00,200 epoch 142 - iter 2120/2650 - loss 0.06968504 - time (sec): 81.93 - samples/sec: 14405.30 - lr: 0.050000 2023-04-06 06:17:10,390 epoch 142 - iter 2385/2650 - loss 0.06988854 - time (sec): 92.12 - samples/sec: 14398.27 - lr: 0.050000 2023-04-06 06:17:20,665 epoch 142 - iter 2650/2650 - loss 0.07001256 - time (sec): 102.40 - samples/sec: 14392.94 - lr: 0.050000 2023-04-06 06:17:20,665 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:17:20,665 EPOCH 142 done: loss 0.0700 - lr 0.050000 2023-04-06 06:17:20,665 BAD EPOCHS (no improvement): 3 2023-04-06 06:17:20,669 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:17:30,984 epoch 143 - iter 265/2650 - loss 0.06959535 - time (sec): 10.31 - samples/sec: 14359.81 - lr: 0.050000 2023-04-06 06:17:41,210 epoch 143 - iter 530/2650 - loss 0.06894295 - time (sec): 20.54 - samples/sec: 14398.46 - lr: 0.050000 2023-04-06 06:17:51,411 epoch 143 - iter 795/2650 - loss 0.06835523 - time (sec): 30.74 - samples/sec: 14384.09 - lr: 0.050000 2023-04-06 06:18:01,624 epoch 143 - iter 1060/2650 - loss 0.06877084 - time (sec): 40.95 - samples/sec: 14392.82 - lr: 0.050000 2023-04-06 06:18:11,959 epoch 143 - iter 1325/2650 - loss 0.06882057 - time (sec): 51.29 - samples/sec: 14380.09 - lr: 0.050000 2023-04-06 06:18:22,243 epoch 143 - iter 1590/2650 - loss 0.06928107 - time (sec): 61.57 - samples/sec: 14378.80 - lr: 0.050000 2023-04-06 06:18:32,441 epoch 143 - iter 1855/2650 - loss 0.06943087 - time (sec): 71.77 - samples/sec: 14368.53 - lr: 0.050000 2023-04-06 06:18:42,743 epoch 143 - iter 2120/2650 - loss 0.06967234 - time (sec): 82.07 - samples/sec: 14365.08 - lr: 0.050000 2023-04-06 06:18:53,056 epoch 143 - iter 2385/2650 - loss 0.06979552 - time (sec): 92.39 - samples/sec: 14360.69 - lr: 0.050000 2023-04-06 06:19:07,562 epoch 143 - iter 2650/2650 - loss 0.06994262 - time (sec): 106.89 - samples/sec: 13787.96 - lr: 0.050000 2023-04-06 06:19:07,562 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:19:07,562 EPOCH 143 done: loss 0.0699 - lr 0.050000 2023-04-06 06:19:07,562 Epoch 143: reducing learning rate of group 0 to 2.5000e-02. 2023-04-06 06:19:07,562 BAD EPOCHS (no improvement): 4 2023-04-06 06:19:07,565 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:19:17,664 epoch 144 - iter 265/2650 - loss 0.06744818 - time (sec): 10.10 - samples/sec: 14450.81 - lr: 0.025000 2023-04-06 06:19:27,910 epoch 144 - iter 530/2650 - loss 0.06733948 - time (sec): 20.34 - samples/sec: 14419.15 - lr: 0.025000 2023-04-06 06:19:38,168 epoch 144 - iter 795/2650 - loss 0.06690861 - time (sec): 30.60 - samples/sec: 14385.18 - lr: 0.025000 2023-04-06 06:19:48,364 epoch 144 - iter 1060/2650 - loss 0.06667746 - time (sec): 40.80 - samples/sec: 14392.90 - lr: 0.025000 2023-04-06 06:19:58,847 epoch 144 - iter 1325/2650 - loss 0.06735374 - time (sec): 51.28 - samples/sec: 14364.12 - lr: 0.025000 2023-04-06 06:20:08,950 epoch 144 - iter 1590/2650 - loss 0.06762446 - time (sec): 61.38 - samples/sec: 14373.66 - lr: 0.025000 2023-04-06 06:20:19,301 epoch 144 - iter 1855/2650 - loss 0.06766167 - time (sec): 71.74 - samples/sec: 14369.49 - lr: 0.025000 2023-04-06 06:20:29,384 epoch 144 - iter 2120/2650 - loss 0.06750314 - time (sec): 81.82 - samples/sec: 14391.68 - lr: 0.025000 2023-04-06 06:20:39,661 epoch 144 - iter 2385/2650 - loss 0.06738077 - time (sec): 92.10 - samples/sec: 14401.46 - lr: 0.025000 2023-04-06 06:20:49,799 epoch 144 - iter 2650/2650 - loss 0.06750812 - time (sec): 102.23 - samples/sec: 14416.27 - lr: 0.025000 2023-04-06 06:20:49,799 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:20:49,799 EPOCH 144 done: loss 0.0675 - lr 0.025000 2023-04-06 06:20:49,799 BAD EPOCHS (no improvement): 0 2023-04-06 06:20:49,803 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:20:59,959 epoch 145 - iter 265/2650 - loss 0.06696410 - time (sec): 10.16 - samples/sec: 14487.22 - lr: 0.025000 2023-04-06 06:21:10,050 epoch 145 - iter 530/2650 - loss 0.06666544 - time (sec): 20.25 - samples/sec: 14548.62 - lr: 0.025000 2023-04-06 06:21:20,070 epoch 145 - iter 795/2650 - loss 0.06652937 - time (sec): 30.27 - samples/sec: 14527.80 - lr: 0.025000 2023-04-06 06:21:30,248 epoch 145 - iter 1060/2650 - loss 0.06691299 - time (sec): 40.44 - samples/sec: 14532.89 - lr: 0.025000 2023-04-06 06:21:40,407 epoch 145 - iter 1325/2650 - loss 0.06693342 - time (sec): 50.60 - samples/sec: 14528.77 - lr: 0.025000 2023-04-06 06:21:50,448 epoch 145 - iter 1590/2650 - loss 0.06702710 - time (sec): 60.64 - samples/sec: 14521.67 - lr: 0.025000 2023-04-06 06:22:00,588 epoch 145 - iter 1855/2650 - loss 0.06671242 - time (sec): 70.78 - samples/sec: 14525.53 - lr: 0.025000 2023-04-06 06:22:10,891 epoch 145 - iter 2120/2650 - loss 0.06703938 - time (sec): 81.09 - samples/sec: 14503.97 - lr: 0.025000 2023-04-06 06:22:21,086 epoch 145 - iter 2385/2650 - loss 0.06708862 - time (sec): 91.28 - samples/sec: 14512.92 - lr: 0.025000 2023-04-06 06:22:31,385 epoch 145 - iter 2650/2650 - loss 0.06695835 - time (sec): 101.58 - samples/sec: 14508.72 - lr: 0.025000 2023-04-06 06:22:31,385 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:22:31,385 EPOCH 145 done: loss 0.0670 - lr 0.025000 2023-04-06 06:22:31,385 BAD EPOCHS (no improvement): 0 2023-04-06 06:22:31,388 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:22:41,436 epoch 146 - iter 265/2650 - loss 0.06665060 - time (sec): 10.05 - samples/sec: 14530.46 - lr: 0.025000 2023-04-06 06:22:51,664 epoch 146 - iter 530/2650 - loss 0.06739331 - time (sec): 20.28 - samples/sec: 14505.94 - lr: 0.025000 2023-04-06 06:23:01,755 epoch 146 - iter 795/2650 - loss 0.06726033 - time (sec): 30.37 - samples/sec: 14551.76 - lr: 0.025000 2023-04-06 06:23:11,960 epoch 146 - iter 1060/2650 - loss 0.06686025 - time (sec): 40.57 - samples/sec: 14553.14 - lr: 0.025000 2023-04-06 06:23:22,022 epoch 146 - iter 1325/2650 - loss 0.06698105 - time (sec): 50.63 - samples/sec: 14554.16 - lr: 0.025000 2023-04-06 06:23:32,227 epoch 146 - iter 1590/2650 - loss 0.06672128 - time (sec): 60.84 - samples/sec: 14539.87 - lr: 0.025000 2023-04-06 06:23:42,478 epoch 146 - iter 1855/2650 - loss 0.06662504 - time (sec): 71.09 - samples/sec: 14530.90 - lr: 0.025000 2023-04-06 06:23:52,531 epoch 146 - iter 2120/2650 - loss 0.06660243 - time (sec): 81.14 - samples/sec: 14529.39 - lr: 0.025000 2023-04-06 06:24:02,622 epoch 146 - iter 2385/2650 - loss 0.06666841 - time (sec): 91.23 - samples/sec: 14529.75 - lr: 0.025000 2023-04-06 06:24:12,807 epoch 146 - iter 2650/2650 - loss 0.06653441 - time (sec): 101.42 - samples/sec: 14532.07 - lr: 0.025000 2023-04-06 06:24:12,807 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:24:12,807 EPOCH 146 done: loss 0.0665 - lr 0.025000 2023-04-06 06:24:12,807 BAD EPOCHS (no improvement): 0 2023-04-06 06:24:12,813 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:24:22,835 epoch 147 - iter 265/2650 - loss 0.06752645 - time (sec): 10.02 - samples/sec: 14544.30 - lr: 0.025000 2023-04-06 06:24:32,933 epoch 147 - iter 530/2650 - loss 0.06616153 - time (sec): 20.12 - samples/sec: 14498.52 - lr: 0.025000 2023-04-06 06:24:43,062 epoch 147 - iter 795/2650 - loss 0.06626572 - time (sec): 30.25 - samples/sec: 14501.96 - lr: 0.025000 2023-04-06 06:24:53,310 epoch 147 - iter 1060/2650 - loss 0.06683154 - time (sec): 40.50 - samples/sec: 14524.75 - lr: 0.025000 2023-04-06 06:25:03,508 epoch 147 - iter 1325/2650 - loss 0.06639169 - time (sec): 50.70 - samples/sec: 14515.32 - lr: 0.025000 2023-04-06 06:25:13,616 epoch 147 - iter 1590/2650 - loss 0.06650885 - time (sec): 60.80 - samples/sec: 14511.99 - lr: 0.025000 2023-04-06 06:25:23,934 epoch 147 - iter 1855/2650 - loss 0.06665525 - time (sec): 71.12 - samples/sec: 14481.80 - lr: 0.025000 2023-04-06 06:25:34,132 epoch 147 - iter 2120/2650 - loss 0.06667740 - time (sec): 81.32 - samples/sec: 14501.99 - lr: 0.025000 2023-04-06 06:25:44,319 epoch 147 - iter 2385/2650 - loss 0.06680321 - time (sec): 91.51 - samples/sec: 14503.65 - lr: 0.025000 2023-04-06 06:25:54,380 epoch 147 - iter 2650/2650 - loss 0.06655792 - time (sec): 101.57 - samples/sec: 14510.77 - lr: 0.025000 2023-04-06 06:25:54,381 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:25:54,381 EPOCH 147 done: loss 0.0666 - lr 0.025000 2023-04-06 06:25:54,381 BAD EPOCHS (no improvement): 1 2023-04-06 06:25:54,384 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:26:04,422 epoch 148 - iter 265/2650 - loss 0.06382851 - time (sec): 10.04 - samples/sec: 14546.22 - lr: 0.025000 2023-04-06 06:26:14,706 epoch 148 - iter 530/2650 - loss 0.06432853 - time (sec): 20.32 - samples/sec: 14595.45 - lr: 0.025000 2023-04-06 06:26:24,808 epoch 148 - iter 795/2650 - loss 0.06510025 - time (sec): 30.42 - samples/sec: 14565.34 - lr: 0.025000 2023-04-06 06:26:34,960 epoch 148 - iter 1060/2650 - loss 0.06548926 - time (sec): 40.58 - samples/sec: 14560.09 - lr: 0.025000 2023-04-06 06:26:45,143 epoch 148 - iter 1325/2650 - loss 0.06568544 - time (sec): 50.76 - samples/sec: 14534.70 - lr: 0.025000 2023-04-06 06:26:55,381 epoch 148 - iter 1590/2650 - loss 0.06532667 - time (sec): 61.00 - samples/sec: 14520.30 - lr: 0.025000 2023-04-06 06:27:05,609 epoch 148 - iter 1855/2650 - loss 0.06517306 - time (sec): 71.22 - samples/sec: 14512.70 - lr: 0.025000 2023-04-06 06:27:15,667 epoch 148 - iter 2120/2650 - loss 0.06506706 - time (sec): 81.28 - samples/sec: 14515.13 - lr: 0.025000 2023-04-06 06:27:25,763 epoch 148 - iter 2385/2650 - loss 0.06500050 - time (sec): 91.38 - samples/sec: 14521.33 - lr: 0.025000 2023-04-06 06:27:35,912 epoch 148 - iter 2650/2650 - loss 0.06498654 - time (sec): 101.53 - samples/sec: 14516.53 - lr: 0.025000 2023-04-06 06:27:35,912 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:27:35,912 EPOCH 148 done: loss 0.0650 - lr 0.025000 2023-04-06 06:27:35,912 BAD EPOCHS (no improvement): 0 2023-04-06 06:27:35,916 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:27:46,239 epoch 149 - iter 265/2650 - loss 0.06655529 - time (sec): 10.32 - samples/sec: 14504.23 - lr: 0.025000 2023-04-06 06:27:56,620 epoch 149 - iter 530/2650 - loss 0.06536531 - time (sec): 20.70 - samples/sec: 14464.15 - lr: 0.025000 2023-04-06 06:28:06,667 epoch 149 - iter 795/2650 - loss 0.06599197 - time (sec): 30.75 - samples/sec: 14470.30 - lr: 0.025000 2023-04-06 06:28:16,920 epoch 149 - iter 1060/2650 - loss 0.06554313 - time (sec): 41.00 - samples/sec: 14446.68 - lr: 0.025000 2023-04-06 06:28:26,911 epoch 149 - iter 1325/2650 - loss 0.06540311 - time (sec): 50.99 - samples/sec: 14469.29 - lr: 0.025000 2023-04-06 06:28:37,117 epoch 149 - iter 1590/2650 - loss 0.06540663 - time (sec): 61.20 - samples/sec: 14465.57 - lr: 0.025000 2023-04-06 06:28:47,241 epoch 149 - iter 1855/2650 - loss 0.06514876 - time (sec): 71.32 - samples/sec: 14480.31 - lr: 0.025000 2023-04-06 06:28:57,352 epoch 149 - iter 2120/2650 - loss 0.06516196 - time (sec): 81.44 - samples/sec: 14483.45 - lr: 0.025000 2023-04-06 06:29:07,467 epoch 149 - iter 2385/2650 - loss 0.06556300 - time (sec): 91.55 - samples/sec: 14487.86 - lr: 0.025000 2023-04-06 06:29:17,704 epoch 149 - iter 2650/2650 - loss 0.06553227 - time (sec): 101.79 - samples/sec: 14479.42 - lr: 0.025000 2023-04-06 06:29:17,704 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:29:17,704 EPOCH 149 done: loss 0.0655 - lr 0.025000 2023-04-06 06:29:17,704 BAD EPOCHS (no improvement): 1 2023-04-06 06:29:17,708 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:29:32,139 epoch 150 - iter 265/2650 - loss 0.06293066 - time (sec): 14.43 - samples/sec: 10309.41 - lr: 0.025000 2023-04-06 06:29:42,062 epoch 150 - iter 530/2650 - loss 0.06396340 - time (sec): 24.35 - samples/sec: 12089.77 - lr: 0.025000 2023-04-06 06:29:52,197 epoch 150 - iter 795/2650 - loss 0.06450383 - time (sec): 34.49 - samples/sec: 12791.45 - lr: 0.025000 2023-04-06 06:30:02,494 epoch 150 - iter 1060/2650 - loss 0.06423106 - time (sec): 44.79 - samples/sec: 13145.47 - lr: 0.025000 2023-04-06 06:30:12,808 epoch 150 - iter 1325/2650 - loss 0.06408416 - time (sec): 55.10 - samples/sec: 13382.78 - lr: 0.025000 2023-04-06 06:30:23,146 epoch 150 - iter 1590/2650 - loss 0.06394808 - time (sec): 65.44 - samples/sec: 13542.28 - lr: 0.025000 2023-04-06 06:30:33,271 epoch 150 - iter 1855/2650 - loss 0.06385460 - time (sec): 75.56 - samples/sec: 13664.53 - lr: 0.025000 2023-04-06 06:30:43,778 epoch 150 - iter 2120/2650 - loss 0.06421264 - time (sec): 86.07 - samples/sec: 13729.23 - lr: 0.025000 2023-04-06 06:30:53,752 epoch 150 - iter 2385/2650 - loss 0.06425239 - time (sec): 96.04 - samples/sec: 13816.92 - lr: 0.025000 2023-04-06 06:31:03,974 epoch 150 - iter 2650/2650 - loss 0.06424798 - time (sec): 106.27 - samples/sec: 13869.30 - lr: 0.025000 2023-04-06 06:31:03,974 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:31:03,974 EPOCH 150 done: loss 0.0642 - lr 0.025000 2023-04-06 06:31:03,974 BAD EPOCHS (no improvement): 0 2023-04-06 06:31:05,328 ---------------------------------------------------------------------------------------------------- 2023-04-06 06:31:05,329 Testing using last state of model ... 2023-04-06 06:31:29,169 Evaluating as a multi-label problem: False 2023-04-06 06:31:29,422 0.901 0.9384 0.9193 0.889 2023-04-06 06:31:29,422 Results: - F-score (micro) 0.9193 - F-score (macro) 0.6849 - Accuracy 0.889 By class: precision recall f1-score support be.01 0.9703 0.9803 0.9753 3562 be.03 0.9504 0.9572 0.9538 1962 have.01 0.9756 0.9812 0.9784 1225 say.01 0.9971 0.9990 0.9981 1048 do.01 0.9637 0.9845 0.9740 647 have.03 0.9155 0.9620 0.9382 552 think.01 1.0000 1.0000 1.0000 320 be.02 0.9556 0.9710 0.9632 310 do.02 0.8486 0.9573 0.8997 281 see.01 0.9792 0.9930 0.9860 284 come.01 0.9328 0.9712 0.9516 243 know.01 0.9457 0.8531 0.8970 245 go.02 0.9075 0.9115 0.9095 226 want.01 1.0000 0.9952 0.9976 207 tell.01 0.9832 1.0000 0.9915 176 take.01 0.8742 0.8688 0.8715 160 talk.01 0.9750 0.9811 0.9781 159 use.01 0.9404 0.9930 0.9660 143 give.01 0.9527 0.9860 0.9691 143 make.02 0.9371 0.9178 0.9273 146 have.02 0.9478 0.9769 0.9621 130 price.01 0.9847 0.9699 0.9773 133 get.01 0.8800 0.9322 0.9053 118 work.01 0.8455 0.9204 0.8814 113 know.06 0.7364 0.9794 0.8407 97 believe.01 1.0000 1.0000 1.0000 113 go.04 0.9636 0.9815 0.9725 108 become.01 0.9815 1.0000 0.9907 106 find.01 0.9320 0.9697 0.9505 99 make.01 0.7000 0.8556 0.7700 90 try.01 0.9900 0.9900 0.9900 100 need.01 0.8750 1.0000 0.9333 91 look.01 0.8900 0.9780 0.9319 91 make.LV 0.7980 0.8587 0.8272 92 mean.01 0.9895 1.0000 0.9947 94 happen.01 1.0000 1.0000 1.0000 91 trade.01 0.8602 0.9756 0.9143 82 kill.01 0.9540 1.0000 0.9765 83 show.01 0.9881 0.9881 0.9881 84 invest.01 0.9080 0.9753 0.9405 81 sell.01 0.9036 0.9868 0.9434 76 begin.01 0.9390 1.0000 0.9686 77 live.01 0.9136 0.9737 0.9427 76 call.01 0.8987 0.9467 0.9221 75 increase.01 0.9125 1.0000 0.9542 73 pay.01 0.9605 0.9733 0.9669 75 let.01 0.9868 1.0000 0.9934 75 hear.01 1.0000 1.0000 1.0000 75 offer.01 0.9605 1.0000 0.9799 73 continue.01 0.9605 1.0000 0.9799 73 bring.01 1.0000 1.0000 1.0000 74 put.01 0.8816 0.9710 0.9241 69 report.01 0.9296 0.9041 0.9167 73 die.01 0.9857 1.0000 0.9928 69 get.03 0.8529 0.8657 0.8593 67 help.01 0.9286 1.0000 0.9630 65 expect.01 1.0000 1.0000 1.0000 67 write.01 0.8986 1.0000 0.9466 62 ask.02 1.0000 0.8696 0.9302 69 start.01 0.8551 1.0000 0.9219 59 ask.01 0.8676 0.9833 0.9219 60 speak.01 1.0000 0.9844 0.9921 64 support.01 0.9242 1.0000 0.9606 61 deal.01 0.9385 1.0000 0.9683 61 decide.01 0.9219 1.0000 0.9593 59 former.01 0.9833 1.0000 0.9916 59 get.05 0.7458 0.7586 0.7521 58 answer.01 0.9167 1.0000 0.9565 55 seem.01 1.0000 1.0000 1.0000 56 change.01 1.0000 1.0000 1.0000 55 provide.01 0.9815 1.0000 0.9907 53 produce.01 0.8393 0.9216 0.8785 51 establish.01 0.9273 1.0000 0.9623 51 develop.02 0.8889 0.9231 0.9057 52 agree.01 0.9615 0.9434 0.9524 53 reach.01 0.9444 1.0000 0.9714 51 call.02 0.9184 0.8654 0.8911 52 receive.01 0.9800 0.9800 0.9800 50 feel.01 0.9400 0.9592 0.9495 49 grow.01 0.8776 0.8958 0.8866 48 lose.02 0.8600 0.9348 0.8958 46 buy.01 0.9592 1.0000 0.9792 47 operate.01 0.8627 0.9778 0.9167 45 show.04 0.8431 0.9556 0.8958 45 learn.01 1.0000 1.0000 1.0000 47 end.01 0.6727 0.9737 0.7957 38 test.01 0.8400 1.0000 0.9130 42 own.01 1.0000 0.9783 0.9890 46 go.01 0.6000 0.6000 0.6000 45 negotiate.01 0.9556 1.0000 0.9773 43 stay.01 0.9318 0.9762 0.9535 42 remember.01 1.0000 0.9767 0.9882 43 plan.01 0.9756 0.9302 0.9524 43 move.01 0.9302 0.9756 0.9524 41 include.01 0.9524 0.9756 0.9639 41 stop.01 0.9070 1.0000 0.9512 39 add.02 0.7556 0.9444 0.8395 36 state.01 0.8837 1.0000 0.9383 38 war.01 0.8409 1.0000 0.9136 37 serve.01 0.6383 0.9091 0.7500 33 rise.01 0.9500 1.0000 0.9744 38 charge.05 0.9487 0.9737 0.9610 38 reduce.01 0.9487 0.9737 0.9610 38 leave.11 0.8500 0.9714 0.9067 35 expand.01 0.9231 1.0000 0.9600 36 hope.01 1.0000 1.0000 1.0000 37 account.01 0.9189 0.9189 0.9189 37 announce.01 0.7619 1.0000 0.8649 32 enter.01 0.9211 1.0000 0.9589 35 take.LV 0.6341 0.8387 0.7222 31 implement.01 1.0000 1.0000 1.0000 36 accept.01 0.9444 0.9714 0.9577 35 look.02 0.9189 1.0000 0.9577 34 fall.01 0.9189 1.0000 0.9577 34 face.01 0.7250 0.9667 0.8286 30 hold.01 0.7632 0.9355 0.8406 31 watch.01 0.9167 1.0000 0.9565 33 keep.02 0.8182 0.7714 0.7941 35 require.01 1.0000 1.0000 1.0000 34 relation.03 0.7368 0.9655 0.8358 29 meet.03 0.7429 0.8387 0.7879 31 drop.01 0.8824 0.9375 0.9091 32 cut.02 0.6923 1.0000 0.8182 27 share.01 0.8056 1.0000 0.8923 29 create.01 0.9394 1.0000 0.9688 31 turn.01 0.7429 0.8966 0.8125 29 eat.01 0.9688 1.0000 0.9841 31 cause.01 0.9091 1.0000 0.9524 30 walk.01 0.9677 0.9677 0.9677 31 suggest.01 1.0000 1.0000 1.0000 31 involve.01 0.8788 1.0000 0.9355 29 build.01 0.8788 1.0000 0.9355 29 get.06 0.9062 1.0000 0.9508 29 understand.01 0.9677 1.0000 0.9836 30 explain.01 0.9677 1.0000 0.9836 30 thank.01 0.9677 1.0000 0.9836 30 read.01 0.9355 1.0000 0.9667 29 open.01 0.8182 1.0000 0.9000 27 lead.02 0.8000 0.8000 0.8000 30 manage.01 0.5526 1.0000 0.7119 21 force.01 0.9000 0.9643 0.9310 28 like.02 0.9310 0.9643 0.9474 28 wait.01 0.8667 0.9630 0.9123 27 view.02 0.8966 0.9286 0.9123 28 feel.02 0.9259 0.8621 0.8929 29 follow.02 0.7500 0.7500 0.7500 28 exchange.01 0.8621 0.9259 0.8929 27 remain.01 1.0000 1.0000 1.0000 28 allow.01 0.9310 1.0000 0.9643 27 approve.01 0.8667 1.0000 0.9286 26 love.01 0.8065 1.0000 0.8929 25 concern.01 0.7097 0.9565 0.8148 23 point_out.02 1.0000 1.0000 1.0000 27 participate.01 1.0000 1.0000 1.0000 27 know.02 0.6296 0.6538 0.6415 26 import.01 0.7931 0.9583 0.8679 24 express.01 0.9259 0.9615 0.9434 26 voice.01 0.9630 1.0000 0.9811 26 name.01 0.9630 1.0000 0.9811 26 send.01 0.6897 0.8696 0.7692 23 visit.01 1.0000 1.0000 1.0000 26 follow.01 0.6071 0.7083 0.6538 24 control.01 0.9259 1.0000 0.9615 25 respond.01 0.7333 1.0000 0.8462 22 succeed.01 0.8889 1.0000 0.9412 24 sit.01 1.0000 0.9231 0.9600 26 carry_out.03 1.0000 1.0000 1.0000 25 question.01 0.7600 0.7600 0.7600 25 destroy.01 1.0000 1.0000 1.0000 25 vote.01 0.8148 0.9565 0.8800 23 arrive.01 0.9600 1.0000 0.9796 24 develop.01 0.8696 0.7692 0.8163 26 carry.01 0.9600 1.0000 0.9796 24 mention.01 0.9600 1.0000 0.9796 24 hold.04 1.0000 0.9600 0.9796 25 bear.02 1.0000 1.0000 1.0000 24 win.01 0.9200 1.0000 0.9583 23 act.02 0.6071 0.8500 0.7083 20 study.01 0.7407 0.9524 0.8333 21 attack.01 1.0000 1.0000 1.0000 24 issue.01 0.9583 0.9583 0.9583 24 go.06 0.4643 0.6842 0.5532 19 set_up.03 0.9583 1.0000 0.9787 23 find_out.03 0.9583 1.0000 0.9787 23 choose.01 0.9583 1.0000 0.9787 23 appear.02 1.0000 0.9583 0.9787 24 quote.01 0.8400 0.9545 0.8936 22 bomb.01 0.9583 1.0000 0.9787 23 interview.01 0.6786 1.0000 0.8085 19 crash.01 0.8800 1.0000 0.9362 22 run.02 0.7308 0.9500 0.8261 20 peace.01 1.0000 1.0000 1.0000 23 mind.05 0.4000 0.7500 0.5217 16 have.04 0.7368 0.5385 0.6222 26 attract.01 1.0000 0.9565 0.9778 23 improve.01 0.6667 1.0000 0.8000 18 lead.01 0.5185 0.8235 0.6364 17 promote.02 0.9524 0.8696 0.9091 23 testify.01 1.0000 1.0000 1.0000 22 release.01 0.7600 1.0000 0.8636 19 welcome.01 0.8696 0.9524 0.9091 21 meet.02 0.5217 0.6000 0.5581 20 handle.01 0.9545 1.0000 0.9767 21 limit.01 0.7500 0.9474 0.8372 19 0.0000 0.0000 0.0000 0 come.03 0.7500 0.7143 0.7317 21 promise.01 0.9048 0.9500 0.9268 20 achieve.01 0.9524 1.0000 0.9756 20 file.01 1.0000 1.0000 1.0000 20 occur.01 1.0000 1.0000 1.0000 20 process.02 0.6000 1.0000 0.7500 15 take.10 0.9500 0.9500 0.9500 20 propose.01 1.0000 1.0000 1.0000 20 indicate.01 1.0000 1.0000 1.0000 20 construct.01 0.9048 1.0000 0.9500 19 save.02 0.9048 1.0000 0.9500 19 warn.01 0.7391 1.0000 0.8500 17 custody.01 1.0000 1.0000 1.0000 20 experience.01 0.7619 0.8889 0.8205 18 spend.02 1.0000 1.0000 1.0000 19 get.04 0.6875 0.5000 0.5789 22 stand.01 0.9000 1.0000 0.9474 18 invite.01 0.9474 0.9474 0.9474 19 prepare.02 0.9000 1.0000 0.9474 18 introduce.02 0.9474 0.9474 0.9474 19 throw.01 0.9474 0.9474 0.9474 19 return.01 0.8500 0.9444 0.8947 18 add.01 1.0000 1.0000 1.0000 19 fly.01 0.9000 1.0000 0.9474 18 heal.01 1.0000 1.0000 1.0000 19 eliminate.01 1.0000 1.0000 1.0000 19 consider.01 0.7059 0.6000 0.6486 20 analyze.01 0.8947 0.9444 0.9189 18 utilize.01 0.9474 1.0000 0.9730 18 keep.01 0.7059 0.6316 0.6667 19 get.02 1.0000 0.8000 0.8889 20 purchase.01 0.8947 1.0000 0.9444 17 earn.01 1.0000 1.0000 1.0000 18 represent.01 1.0000 1.0000 1.0000 18 close.01 0.8000 1.0000 0.8889 16 imagine.01 1.0000 1.0000 1.0000 18 cover.03 1.0000 0.8947 0.9444 19 leave.12 0.7368 0.8235 0.7778 17 speculate.01 0.8947 1.0000 0.9444 17 join.01 1.0000 0.9444 0.9714 18 come.04 0.8750 0.7368 0.8000 19 combine.01 0.7000 0.9333 0.8000 15 protect.01 0.9444 1.0000 0.9714 17 break.01 0.6190 0.9286 0.7429 14 order.01 0.8889 0.9412 0.9143 17 keep.04 0.6316 0.7500 0.6857 16 rule.03 0.8421 1.0000 0.9143 16 fight.01 0.8889 0.9412 0.9143 17 raise.01 0.7895 1.0000 0.8824 15 launch.01 0.8889 1.0000 0.9412 16 contribute.01 1.0000 1.0000 1.0000 17 discuss.01 1.0000 1.0000 1.0000 17 profit.01 1.0000 1.0000 1.0000 17 suffer.01 1.0000 1.0000 1.0000 17 have.LV 0.4706 0.4706 0.4706 17 present.01 1.0000 1.0000 1.0000 17 post.01 0.8889 1.0000 0.9412 16 affect.01 0.8889 1.0000 0.9412 16 turn.02 0.7059 0.7500 0.7273 16 sit_down.02 0.8333 1.0000 0.9091 15 impact.01 0.3913 0.9000 0.5455 10 matter.02 0.5714 1.0000 0.7273 12 react.01 0.8333 1.0000 0.9091 15 fill.01 0.8333 1.0000 0.9091 15 damage.01 0.9412 1.0000 0.9697 16 wish.01 0.8333 1.0000 0.9091 15 bond.02 1.0000 0.9412 0.9697 17 victory.01 1.0000 1.0000 1.0000 16 play.02 0.8824 1.0000 0.9375 15 set.02 0.6471 0.7333 0.6875 15 refer.01 0.7778 1.0000 0.8750 14 challenge.01 1.0000 1.0000 1.0000 16 go_on.15 0.8824 1.0000 0.9375 15 set.01 0.7059 0.8000 0.7500 15 leave.13 0.9375 0.9375 0.9375 16 meet.01 0.8824 1.0000 0.9375 15 judge.01 0.6667 0.8571 0.7500 14 put.03 0.7857 0.6471 0.7097 17 spend.01 0.8750 0.9333 0.9032 15 seek.01 0.9375 1.0000 0.9677 15 demand.01 0.8235 1.0000 0.9032 14 draw.02 0.8125 0.8667 0.8387 15 influence.01 0.9375 1.0000 0.9677 15 violent.01 0.8235 1.0000 0.9032 14 deny.01 1.0000 1.0000 1.0000 15 bless.01 1.0000 1.0000 1.0000 15 drive.01 0.8000 0.8000 0.8000 15 relate.01 0.4286 1.0000 0.6000 9 note.01 0.8750 1.0000 0.9333 14 sign.02 0.7059 0.9231 0.8000 13 describe.01 0.8750 1.0000 0.9333 14 solve.01 1.0000 1.0000 1.0000 15 encourage.01 0.8000 0.8000 0.8000 15 fail.01 1.0000 1.0000 1.0000 15 honor.01 1.0000 1.0000 1.0000 15 shout.01 1.0000 1.0000 1.0000 15 travel.01 0.7647 1.0000 0.8667 13 transact.01 1.0000 1.0000 1.0000 15 care.01 1.0000 0.9333 0.9655 15 realize.01 1.0000 0.9333 0.9655 15 run.01 0.8000 0.8571 0.8276 14 reveal.01 0.9333 1.0000 0.9655 14 consider.02 0.5000 0.6154 0.5517 13 wear.01 0.9333 1.0000 0.9655 14 compete.01 0.8125 1.0000 0.8966 13 connect.01 0.6111 1.0000 0.7586 11 argue.01 0.8667 0.9286 0.8966 14 contact.01 0.8125 1.0000 0.8966 13 assist.01 0.8125 1.0000 0.8966 13 take_over.12 1.0000 0.9333 0.9655 15 acquire.01 0.9333 1.0000 0.9655 14 try.02 0.6111 1.0000 0.7586 11 pray.01 1.0000 1.0000 1.0000 14 work.09 0.8462 0.7333 0.7857 15 sound.01 1.0000 1.0000 1.0000 14 base.02 0.7857 0.7857 0.7857 14 play.01 0.7143 0.7143 0.7143 14 compare.01 1.0000 0.7500 0.8571 16 move.02 1.0000 1.0000 1.0000 14 rule.01 0.5556 1.0000 0.7143 10 pursue.01 1.0000 1.0000 1.0000 14 intend.01 0.7500 1.0000 0.8571 12 belong.01 1.0000 1.0000 1.0000 14 repair.01 0.5556 1.0000 0.7143 10 strengthen.01 1.0000 1.0000 1.0000 14 bid.01 1.0000 1.0000 1.0000 14 drink.01 0.9286 1.0000 0.9630 13 finance.01 0.8000 1.0000 0.8889 12 cross.02 0.9286 1.0000 0.9630 13 praise.01 0.9231 0.8571 0.8889 14 appear.01 0.9286 1.0000 0.9630 13 complete.01 0.9286 1.0000 0.9630 13 prove.01 0.9286 1.0000 0.9630 13 exist.01 0.6875 1.0000 0.8148 11 form.01 1.0000 0.9286 0.9630 14 send.02 0.7500 0.6000 0.6667 15 depend.01 1.0000 1.0000 1.0000 13 make.05 1.0000 0.7333 0.8462 15 miss.01 1.0000 0.8571 0.9231 14 send.03 0.6667 0.5714 0.6154 14 listen.01 1.0000 1.0000 1.0000 13 conduct.01 1.0000 1.0000 1.0000 13 insist.01 1.0000 1.0000 1.0000 13 translate.01 1.0000 1.0000 1.0000 13 maintain.01 1.0000 1.0000 1.0000 13 regard.01 0.9091 0.6667 0.7692 15 emphasize.01 1.0000 1.0000 1.0000 13 conflict.01 0.6250 1.0000 0.7692 10 decline.01 1.0000 1.0000 1.0000 13 defend.01 1.0000 1.0000 1.0000 13 allege.01 0.8571 1.0000 0.9231 12 go.05 0.8000 0.5333 0.6400 15 steal.01 0.8462 0.9167 0.8800 12 discover.01 0.9231 1.0000 0.9600 12 survive.01 0.9231 1.0000 0.9600 12 resolve.01 0.9231 1.0000 0.9600 12 fire.01 0.9167 0.8462 0.8800 13 call.03 1.0000 0.9231 0.9600 13 grow.03 0.7857 1.0000 0.8800 11 plant.01 0.9231 1.0000 0.9600 12 convict.01 0.9231 1.0000 0.9600 12 hit.01 0.6429 0.8182 0.7200 11 confer.01 0.9231 1.0000 0.9600 12 signal.07 0.9231 1.0000 0.9600 12 enjoy.01 1.0000 1.0000 1.0000 12 deliver.01 1.0000 1.0000 1.0000 12 obtain.01 1.0000 1.0000 1.0000 12 cite.01 1.0000 1.0000 1.0000 12 adjust.01 0.8462 1.0000 0.9167 11 take.14 1.0000 1.0000 1.0000 12 fear.01 0.7143 1.0000 0.8333 10 lead.03 1.0000 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06:31:29,425 ----------------------------------------------------------------------------------------------------