diff --git "a/training.log" "b/training.log" --- "a/training.log" +++ "b/training.log" @@ -1,2102 +1,2182 @@ -2019-06-26 14:06:27,844 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:06:27,844 Model: "SequenceTagger( +2023-04-05 11:29:16,133 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:16,133 Model: "SequenceTagger( (embeddings): StackedEmbeddings( (list_embedding_0): FlairEmbeddings( (lm): LanguageModel( - (drop): Dropout(p=0.05) + (drop): Dropout(p=0.05, inplace=False) (encoder): Embedding(300, 100) (rnn): LSTM(100, 2048) - (decoder): Linear(in_features=2048, out_features=300, bias=True) ) ) (list_embedding_1): FlairEmbeddings( (lm): LanguageModel( - (drop): Dropout(p=0.05) + (drop): Dropout(p=0.05, inplace=False) (encoder): Embedding(300, 100) (rnn): LSTM(100, 2048) - (decoder): Linear(in_features=2048, out_features=300, bias=True) ) ) ) (word_dropout): WordDropout(p=0.05) (locked_dropout): LockedDropout(p=0.5) (embedding2nn): Linear(in_features=4096, out_features=4096, bias=True) - (rnn): LSTM(4096, 256, bidirectional=True) - (linear): Linear(in_features=512, out_features=45, bias=True) + (rnn): LSTM(4096, 256, batch_first=True, bidirectional=True) + (linear): Linear(in_features=512, out_features=47, bias=True) + (loss_function): ViterbiLoss() + (crf): CRF() )" -2019-06-26 14:06:27,844 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:06:27,844 Corpus: "Corpus: 8042 train + 894 dev + 2012 test sentences" -2019-06-26 14:06:27,844 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:06:27,844 Parameters: -2019-06-26 14:06:27,845 - learning_rate: "0.1" -2019-06-26 14:06:27,845 - mini_batch_size: "32" -2019-06-26 14:06:27,845 - patience: "3" -2019-06-26 14:06:27,845 - anneal_factor: "0.5" -2019-06-26 14:06:27,845 - max_epochs: "150" -2019-06-26 14:06:27,845 - shuffle: "True" -2019-06-26 14:06:27,845 - train_with_dev: "True" -2019-06-26 14:06:27,845 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:06:27,845 Model training base path: "resources/taggers/NP-conll2000--h256-l1-b32-p3-0.5-+news-forward+news-backward-normal-locked0.5-word0.05--v0.4_0" -2019-06-26 14:06:27,845 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:06:27,845 Evaluation method: MICRO_F1_SCORE -2019-06-26 14:06:27,848 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:06:28,342 epoch 1 - iter 0/280 - loss 104.84130096 -2019-06-26 14:06:42,099 epoch 1 - iter 28/280 - loss 57.71157087 -2019-06-26 14:06:55,026 epoch 1 - iter 56/280 - loss 42.02649451 -2019-06-26 14:07:07,996 epoch 1 - iter 84/280 - loss 32.98136570 -2019-06-26 14:07:21,430 epoch 1 - iter 112/280 - loss 27.72889468 -2019-06-26 14:07:34,556 epoch 1 - iter 140/280 - loss 24.08528761 -2019-06-26 14:07:48,388 epoch 1 - iter 168/280 - loss 21.43308336 -2019-06-26 14:08:02,172 epoch 1 - iter 196/280 - loss 19.38871579 -2019-06-26 14:08:14,863 epoch 1 - iter 224/280 - loss 17.81350903 -2019-06-26 14:08:27,489 epoch 1 - iter 252/280 - loss 16.52945431 -2019-06-26 14:08:39,644 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:08:39,644 EPOCH 1 done: loss 15.5396 - lr 0.1000 -2019-06-26 14:09:49,936 TEST : loss 4.244518280029297 - score 0.9252 -2019-06-26 14:09:49,936 BAD EPOCHS (no improvement): 0 -2019-06-26 14:09:49,936 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:09:50,090 epoch 2 - iter 0/280 - loss 4.85551643 -2019-06-26 14:09:54,520 epoch 2 - iter 28/280 - loss 5.50406707 -2019-06-26 14:09:58,874 epoch 2 - iter 56/280 - loss 5.40856174 -2019-06-26 14:10:03,250 epoch 2 - iter 84/280 - loss 5.41666989 -2019-06-26 14:10:07,772 epoch 2 - iter 112/280 - loss 5.28601331 -2019-06-26 14:10:12,127 epoch 2 - iter 140/280 - loss 5.29781919 -2019-06-26 14:10:16,673 epoch 2 - iter 168/280 - loss 5.27598142 -2019-06-26 14:10:21,232 epoch 2 - iter 196/280 - loss 5.12645800 -2019-06-26 14:10:25,631 epoch 2 - iter 224/280 - loss 5.01210228 -2019-06-26 14:10:30,090 epoch 2 - iter 252/280 - loss 4.95609328 -2019-06-26 14:10:34,472 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:10:34,472 EPOCH 2 done: loss 4.8453 - lr 0.1000 -2019-06-26 14:11:26,386 TEST : loss 2.7801873683929443 - score 0.9473 -2019-06-26 14:11:26,387 BAD EPOCHS (no improvement): 0 -2019-06-26 14:11:26,387 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:11:26,567 epoch 3 - iter 0/280 - loss 4.31248713 -2019-06-26 14:11:31,278 epoch 3 - iter 28/280 - loss 4.10595402 -2019-06-26 14:11:35,791 epoch 3 - iter 56/280 - loss 4.05990113 -2019-06-26 14:11:40,269 epoch 3 - iter 84/280 - loss 3.92607707 -2019-06-26 14:11:44,646 epoch 3 - iter 112/280 - loss 3.86746570 -2019-06-26 14:11:49,101 epoch 3 - iter 140/280 - loss 3.82586038 -2019-06-26 14:11:53,570 epoch 3 - iter 168/280 - loss 3.84934761 -2019-06-26 14:11:57,966 epoch 3 - iter 196/280 - loss 3.79276639 -2019-06-26 14:12:02,515 epoch 3 - iter 224/280 - loss 3.77825052 -2019-06-26 14:12:07,127 epoch 3 - iter 252/280 - loss 3.76452522 -2019-06-26 14:12:11,358 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:12:11,358 EPOCH 3 done: loss 3.7268 - lr 0.1000 -2019-06-26 14:13:03,414 TEST : loss 2.3820221424102783 - score 0.9526 -2019-06-26 14:13:03,414 BAD EPOCHS (no improvement): 0 -2019-06-26 14:13:03,415 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:13:03,576 epoch 4 - iter 0/280 - loss 3.74020004 -2019-06-26 14:13:08,289 epoch 4 - iter 28/280 - loss 3.32296350 -2019-06-26 14:13:12,970 epoch 4 - iter 56/280 - loss 3.41532225 -2019-06-26 14:13:17,609 epoch 4 - iter 84/280 - loss 3.25742180 -2019-06-26 14:13:22,049 epoch 4 - iter 112/280 - loss 3.26863021 -2019-06-26 14:13:26,555 epoch 4 - iter 140/280 - loss 3.25208544 -2019-06-26 14:13:31,099 epoch 4 - iter 168/280 - loss 3.21904280 -2019-06-26 14:13:35,807 epoch 4 - iter 196/280 - loss 3.20402986 -2019-06-26 14:13:40,405 epoch 4 - iter 224/280 - loss 3.17084707 -2019-06-26 14:13:44,969 epoch 4 - iter 252/280 - loss 3.17354733 -2019-06-26 14:13:49,375 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:13:49,375 EPOCH 4 done: loss 3.1785 - lr 0.1000 -2019-06-26 14:14:41,515 TEST : loss 2.2335431575775146 - score 0.9553 -2019-06-26 14:14:41,515 BAD EPOCHS (no improvement): 0 -2019-06-26 14:14:41,516 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:14:41,700 epoch 5 - iter 0/280 - loss 1.66762781 -2019-06-26 14:14:46,613 epoch 5 - iter 28/280 - loss 3.07277615 -2019-06-26 14:14:51,104 epoch 5 - iter 56/280 - loss 2.93475994 -2019-06-26 14:14:55,567 epoch 5 - iter 84/280 - loss 2.85847614 -2019-06-26 14:15:00,187 epoch 5 - iter 112/280 - loss 2.83720709 -2019-06-26 14:15:04,676 epoch 5 - iter 140/280 - loss 2.78588383 -2019-06-26 14:15:09,119 epoch 5 - iter 168/280 - loss 2.75475514 -2019-06-26 14:15:13,794 epoch 5 - iter 196/280 - loss 2.73003991 -2019-06-26 14:15:18,290 epoch 5 - iter 224/280 - loss 2.77362506 -2019-06-26 14:15:22,676 epoch 5 - iter 252/280 - loss 2.77702841 -2019-06-26 14:15:26,903 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:15:26,903 EPOCH 5 done: loss 2.7580 - lr 0.1000 -2019-06-26 14:16:19,167 TEST : loss 2.0756919384002686 - score 0.9561 -2019-06-26 14:16:19,167 BAD EPOCHS (no improvement): 0 -2019-06-26 14:16:19,168 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:16:19,319 epoch 6 - iter 0/280 - loss 3.61013365 -2019-06-26 14:16:23,974 epoch 6 - iter 28/280 - loss 2.66992937 -2019-06-26 14:16:28,449 epoch 6 - iter 56/280 - loss 2.66276156 -2019-06-26 14:16:32,914 epoch 6 - iter 84/280 - loss 2.60168650 -2019-06-26 14:16:37,455 epoch 6 - iter 112/280 - loss 2.61304450 -2019-06-26 14:16:42,052 epoch 6 - iter 140/280 - loss 2.58883674 -2019-06-26 14:16:46,646 epoch 6 - iter 168/280 - loss 2.58322710 -2019-06-26 14:16:51,364 epoch 6 - iter 196/280 - loss 2.60379600 -2019-06-26 14:16:55,877 epoch 6 - iter 224/280 - loss 2.58341388 -2019-06-26 14:17:00,372 epoch 6 - iter 252/280 - loss 2.58112619 -2019-06-26 14:17:04,764 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:17:04,764 EPOCH 6 done: loss 2.5949 - lr 0.1000 -2019-06-26 14:17:56,973 TEST : loss 2.0087215900421143 - score 0.9564 -2019-06-26 14:17:56,973 BAD EPOCHS (no improvement): 0 -2019-06-26 14:17:56,974 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:17:57,152 epoch 7 - iter 0/280 - loss 1.20450437 -2019-06-26 14:18:01,928 epoch 7 - iter 28/280 - loss 2.52392230 -2019-06-26 14:18:06,402 epoch 7 - iter 56/280 - loss 2.57235438 -2019-06-26 14:18:11,126 epoch 7 - iter 84/280 - loss 2.63071750 -2019-06-26 14:18:15,708 epoch 7 - iter 112/280 - loss 2.50202403 -2019-06-26 14:18:20,396 epoch 7 - iter 140/280 - loss 2.42755270 -2019-06-26 14:18:25,044 epoch 7 - iter 168/280 - loss 2.38781255 -2019-06-26 14:18:29,377 epoch 7 - iter 196/280 - loss 2.36190710 -2019-06-26 14:18:33,910 epoch 7 - iter 224/280 - loss 2.36608221 -2019-06-26 14:18:38,486 epoch 7 - iter 252/280 - loss 2.35581118 -2019-06-26 14:18:42,619 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:18:42,619 EPOCH 7 done: loss 2.3470 - lr 0.1000 -2019-06-26 14:19:34,914 TEST : loss 1.9395112991333008 - score 0.9594 -2019-06-26 14:19:34,914 BAD EPOCHS (no improvement): 0 -2019-06-26 14:19:34,925 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:19:35,077 epoch 8 - iter 0/280 - loss 2.26642752 -2019-06-26 14:19:39,862 epoch 8 - iter 28/280 - loss 2.11348516 -2019-06-26 14:19:44,453 epoch 8 - iter 56/280 - loss 2.24303316 -2019-06-26 14:19:49,139 epoch 8 - iter 84/280 - loss 2.22404015 -2019-06-26 14:19:53,701 epoch 8 - iter 112/280 - loss 2.25459439 -2019-06-26 14:19:58,051 epoch 8 - iter 140/280 - loss 2.19585813 -2019-06-26 14:20:02,508 epoch 8 - iter 168/280 - loss 2.14678153 -2019-06-26 14:20:06,956 epoch 8 - iter 196/280 - loss 2.16379894 -2019-06-26 14:20:11,407 epoch 8 - iter 224/280 - loss 2.17516394 -2019-06-26 14:20:15,897 epoch 8 - iter 252/280 - loss 2.16897292 -2019-06-26 14:20:20,157 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:20:20,157 EPOCH 8 done: loss 2.1828 - lr 0.1000 -2019-06-26 14:21:12,335 TEST : loss 1.9301003217697144 - score 0.9577 -2019-06-26 14:21:12,335 BAD EPOCHS (no improvement): 0 -2019-06-26 14:21:12,336 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:21:12,524 epoch 9 - iter 0/280 - loss 2.36631751 -2019-06-26 14:21:17,308 epoch 9 - iter 28/280 - loss 2.35173844 -2019-06-26 14:21:21,839 epoch 9 - iter 56/280 - loss 2.09075202 -2019-06-26 14:21:26,536 epoch 9 - iter 84/280 - loss 2.03068366 -2019-06-26 14:21:31,146 epoch 9 - iter 112/280 - loss 1.99580048 -2019-06-26 14:21:35,819 epoch 9 - iter 140/280 - loss 2.00582493 -2019-06-26 14:21:40,283 epoch 9 - iter 168/280 - loss 1.99010824 -2019-06-26 14:21:44,839 epoch 9 - iter 196/280 - loss 1.98845750 -2019-06-26 14:21:49,477 epoch 9 - iter 224/280 - loss 1.98328628 -2019-06-26 14:21:54,118 epoch 9 - iter 252/280 - loss 2.00757186 -2019-06-26 14:21:58,371 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:21:58,371 EPOCH 9 done: loss 2.0348 - lr 0.1000 -2019-06-26 14:22:50,527 TEST : loss 1.8262884616851807 - score 0.9596 -2019-06-26 14:22:50,527 BAD EPOCHS (no improvement): 0 -2019-06-26 14:22:50,528 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:22:50,680 epoch 10 - iter 0/280 - loss 2.83490300 -2019-06-26 14:22:55,466 epoch 10 - iter 28/280 - loss 2.02919993 -2019-06-26 14:22:59,980 epoch 10 - iter 56/280 - loss 1.89826168 -2019-06-26 14:23:04,560 epoch 10 - iter 84/280 - loss 1.87095210 -2019-06-26 14:23:09,101 epoch 10 - iter 112/280 - loss 1.89129612 -2019-06-26 14:23:13,793 epoch 10 - iter 140/280 - loss 1.89624129 -2019-06-26 14:23:18,403 epoch 10 - iter 168/280 - loss 1.91631853 -2019-06-26 14:23:22,793 epoch 10 - iter 196/280 - loss 1.92087618 -2019-06-26 14:23:27,384 epoch 10 - iter 224/280 - loss 1.91386225 -2019-06-26 14:23:31,920 epoch 10 - iter 252/280 - loss 1.91665696 -2019-06-26 14:23:36,442 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:23:36,443 EPOCH 10 done: loss 1.9377 - lr 0.1000 -2019-06-26 14:24:27,728 TEST : loss 1.8178833723068237 - score 0.9604 -2019-06-26 14:24:27,728 BAD EPOCHS (no improvement): 0 -2019-06-26 14:24:27,729 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:24:27,896 epoch 11 - iter 0/280 - loss 2.14593506 -2019-06-26 14:24:32,597 epoch 11 - iter 28/280 - loss 1.96509398 -2019-06-26 14:24:36,994 epoch 11 - iter 56/280 - loss 1.81557962 -2019-06-26 14:24:41,600 epoch 11 - iter 84/280 - loss 1.84052203 -2019-06-26 14:24:46,097 epoch 11 - iter 112/280 - loss 1.80954140 -2019-06-26 14:24:50,706 epoch 11 - iter 140/280 - loss 1.82526606 -2019-06-26 14:24:55,226 epoch 11 - iter 168/280 - loss 1.81037691 -2019-06-26 14:24:59,760 epoch 11 - iter 196/280 - loss 1.80521250 -2019-06-26 14:25:04,329 epoch 11 - iter 224/280 - loss 1.83823718 -2019-06-26 14:25:08,797 epoch 11 - iter 252/280 - loss 1.81686030 -2019-06-26 14:25:13,043 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:25:13,044 EPOCH 11 done: loss 1.8130 - lr 0.1000 -2019-06-26 14:26:05,152 TEST : loss 1.8426893949508667 - score 0.9602 -2019-06-26 14:26:05,152 BAD EPOCHS (no improvement): 0 -2019-06-26 14:26:05,153 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:26:05,333 epoch 12 - iter 0/280 - loss 2.02795529 -2019-06-26 14:26:10,060 epoch 12 - iter 28/280 - loss 1.61818329 -2019-06-26 14:26:14,598 epoch 12 - iter 56/280 - loss 1.62454122 -2019-06-26 14:26:19,349 epoch 12 - iter 84/280 - loss 1.71348389 -2019-06-26 14:26:24,030 epoch 12 - iter 112/280 - loss 1.70277064 -2019-06-26 14:26:28,481 epoch 12 - iter 140/280 - loss 1.72406780 -2019-06-26 14:26:33,055 epoch 12 - iter 168/280 - loss 1.73834628 -2019-06-26 14:26:37,591 epoch 12 - iter 196/280 - loss 1.74390498 -2019-06-26 14:26:42,300 epoch 12 - iter 224/280 - loss 1.75137991 -2019-06-26 14:26:46,980 epoch 12 - iter 252/280 - loss 1.77207555 -2019-06-26 14:26:51,232 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:26:51,232 EPOCH 12 done: loss 1.7766 - lr 0.1000 -2019-06-26 14:27:43,237 TEST : loss 1.7583370208740234 - score 0.9611 -2019-06-26 14:27:43,238 BAD EPOCHS (no improvement): 0 -2019-06-26 14:27:43,238 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:27:43,379 epoch 13 - iter 0/280 - loss 1.43425035 -2019-06-26 14:27:48,144 epoch 13 - iter 28/280 - loss 1.65668118 -2019-06-26 14:27:52,604 epoch 13 - iter 56/280 - loss 1.64600747 -2019-06-26 14:27:57,099 epoch 13 - iter 84/280 - loss 1.64372613 -2019-06-26 14:28:01,561 epoch 13 - iter 112/280 - loss 1.63242686 -2019-06-26 14:28:06,141 epoch 13 - iter 140/280 - loss 1.65722543 -2019-06-26 14:28:10,474 epoch 13 - iter 168/280 - loss 1.64682230 -2019-06-26 14:28:14,987 epoch 13 - iter 196/280 - loss 1.63533159 -2019-06-26 14:28:19,412 epoch 13 - iter 224/280 - loss 1.63663940 -2019-06-26 14:28:23,957 epoch 13 - iter 252/280 - loss 1.62849365 -2019-06-26 14:28:28,208 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:28:28,208 EPOCH 13 done: loss 1.6445 - lr 0.1000 -2019-06-26 14:29:20,396 TEST : loss 1.7693623304367065 - score 0.9626 -2019-06-26 14:29:20,396 BAD EPOCHS (no improvement): 0 -2019-06-26 14:29:20,396 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:29:20,564 epoch 14 - iter 0/280 - loss 1.30932617 -2019-06-26 14:29:25,298 epoch 14 - iter 28/280 - loss 1.49861453 -2019-06-26 14:29:29,917 epoch 14 - iter 56/280 - loss 1.49320297 -2019-06-26 14:29:34,511 epoch 14 - iter 84/280 - loss 1.54798064 -2019-06-26 14:29:39,119 epoch 14 - iter 112/280 - loss 1.53393177 -2019-06-26 14:29:43,732 epoch 14 - iter 140/280 - loss 1.59670664 -2019-06-26 14:29:48,347 epoch 14 - iter 168/280 - loss 1.56705798 -2019-06-26 14:29:52,962 epoch 14 - iter 196/280 - loss 1.57109872 -2019-06-26 14:29:57,582 epoch 14 - iter 224/280 - loss 1.58701711 -2019-06-26 14:30:02,154 epoch 14 - iter 252/280 - loss 1.60340245 -2019-06-26 14:30:06,432 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:30:06,433 EPOCH 14 done: loss 1.5823 - lr 0.1000 -2019-06-26 14:30:58,510 TEST : loss 1.765952467918396 - score 0.9612 -2019-06-26 14:30:58,511 BAD EPOCHS (no improvement): 0 -2019-06-26 14:30:58,512 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:30:58,704 epoch 15 - iter 0/280 - loss 1.67219925 -2019-06-26 14:31:03,190 epoch 15 - iter 28/280 - loss 1.41551015 -2019-06-26 14:31:07,774 epoch 15 - iter 56/280 - loss 1.53716087 -2019-06-26 14:31:12,435 epoch 15 - iter 84/280 - loss 1.50369154 -2019-06-26 14:31:17,089 epoch 15 - iter 112/280 - loss 1.51232851 -2019-06-26 14:31:21,551 epoch 15 - iter 140/280 - loss 1.50976683 -2019-06-26 14:31:26,059 epoch 15 - iter 168/280 - loss 1.50933750 -2019-06-26 14:31:30,288 epoch 15 - iter 196/280 - loss 1.52000598 -2019-06-26 14:31:34,704 epoch 15 - iter 224/280 - loss 1.51234919 -2019-06-26 14:31:39,316 epoch 15 - iter 252/280 - loss 1.53328404 -2019-06-26 14:31:43,670 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:31:43,670 EPOCH 15 done: loss 1.5531 - lr 0.1000 -2019-06-26 14:32:35,800 TEST : loss 1.7894718647003174 - score 0.9612 -2019-06-26 14:32:35,800 BAD EPOCHS (no improvement): 0 -2019-06-26 14:32:35,801 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:32:35,957 epoch 16 - iter 0/280 - loss 0.65130925 -2019-06-26 14:32:40,788 epoch 16 - iter 28/280 - loss 1.45249094 -2019-06-26 14:32:45,197 epoch 16 - iter 56/280 - loss 1.35717354 -2019-06-26 14:32:49,821 epoch 16 - iter 84/280 - loss 1.43475690 -2019-06-26 14:32:54,541 epoch 16 - iter 112/280 - loss 1.43105169 -2019-06-26 14:32:58,965 epoch 16 - iter 140/280 - loss 1.43610734 -2019-06-26 14:33:03,318 epoch 16 - iter 168/280 - loss 1.41639308 -2019-06-26 14:33:07,937 epoch 16 - iter 196/280 - loss 1.45694654 -2019-06-26 14:33:12,343 epoch 16 - iter 224/280 - loss 1.45998221 -2019-06-26 14:33:16,950 epoch 16 - iter 252/280 - loss 1.47461552 -2019-06-26 14:33:21,437 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:33:21,437 EPOCH 16 done: loss 1.4749 - lr 0.1000 -2019-06-26 14:34:13,574 TEST : loss 1.8003381490707397 - score 0.962 -2019-06-26 14:34:13,574 BAD EPOCHS (no improvement): 0 -2019-06-26 14:34:13,575 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:34:13,765 epoch 17 - iter 0/280 - loss 0.78500366 -2019-06-26 14:34:18,551 epoch 17 - iter 28/280 - loss 1.26878643 -2019-06-26 14:34:23,123 epoch 17 - iter 56/280 - loss 1.36776430 -2019-06-26 14:34:27,687 epoch 17 - iter 84/280 - loss 1.38228410 -2019-06-26 14:34:32,396 epoch 17 - iter 112/280 - loss 1.39294790 -2019-06-26 14:34:37,037 epoch 17 - iter 140/280 - loss 1.38652390 -2019-06-26 14:34:41,636 epoch 17 - iter 168/280 - loss 1.38309450 -2019-06-26 14:34:46,042 epoch 17 - iter 196/280 - loss 1.38336629 -2019-06-26 14:34:50,440 epoch 17 - iter 224/280 - loss 1.39720552 -2019-06-26 14:34:54,989 epoch 17 - iter 252/280 - loss 1.42864403 -2019-06-26 14:34:59,256 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:34:59,256 EPOCH 17 done: loss 1.4238 - lr 0.1000 -2019-06-26 14:35:51,312 TEST : loss 1.8139498233795166 - score 0.9618 -2019-06-26 14:35:51,313 BAD EPOCHS (no improvement): 0 -2019-06-26 14:35:51,313 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:35:51,465 epoch 18 - iter 0/280 - loss 1.19105613 -2019-06-26 14:35:56,425 epoch 18 - iter 28/280 - loss 1.33148278 -2019-06-26 14:36:01,090 epoch 18 - iter 56/280 - loss 1.33164971 -2019-06-26 14:36:05,452 epoch 18 - iter 84/280 - loss 1.36813285 -2019-06-26 14:36:09,910 epoch 18 - iter 112/280 - loss 1.33321792 -2019-06-26 14:36:14,379 epoch 18 - iter 140/280 - loss 1.38054322 -2019-06-26 14:36:18,790 epoch 18 - iter 168/280 - loss 1.37531269 -2019-06-26 14:36:23,350 epoch 18 - iter 196/280 - loss 1.38679992 -2019-06-26 14:36:27,906 epoch 18 - iter 224/280 - loss 1.39694233 -2019-06-26 14:36:32,247 epoch 18 - iter 252/280 - loss 1.39744570 -2019-06-26 14:36:36,572 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:36:36,572 EPOCH 18 done: loss 1.3791 - lr 0.1000 -2019-06-26 14:37:28,713 TEST : loss 1.7965987920761108 - score 0.9622 -2019-06-26 14:37:28,713 BAD EPOCHS (no improvement): 0 -2019-06-26 14:37:28,714 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:37:28,886 epoch 19 - iter 0/280 - loss 0.67428768 -2019-06-26 14:37:33,660 epoch 19 - iter 28/280 - loss 1.32038654 -2019-06-26 14:37:38,161 epoch 19 - iter 56/280 - loss 1.23416983 -2019-06-26 14:37:42,654 epoch 19 - iter 84/280 - loss 1.22024317 -2019-06-26 14:37:47,239 epoch 19 - iter 112/280 - loss 1.20616235 -2019-06-26 14:37:51,910 epoch 19 - iter 140/280 - loss 1.22596446 -2019-06-26 14:37:56,593 epoch 19 - iter 168/280 - loss 1.26355127 -2019-06-26 14:38:00,951 epoch 19 - iter 196/280 - loss 1.27122036 -2019-06-26 14:38:05,510 epoch 19 - iter 224/280 - loss 1.28136214 -2019-06-26 14:38:10,256 epoch 19 - iter 252/280 - loss 1.28807214 -2019-06-26 14:38:14,689 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:38:14,689 EPOCH 19 done: loss 1.2911 - lr 0.1000 -2019-06-26 14:39:06,784 TEST : loss 1.8290296792984009 - score 0.9617 -2019-06-26 14:39:06,784 BAD EPOCHS (no improvement): 0 -2019-06-26 14:39:06,785 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:39:06,935 epoch 20 - iter 0/280 - loss 1.38041687 -2019-06-26 14:39:11,594 epoch 20 - iter 28/280 - loss 1.09988898 -2019-06-26 14:39:16,278 epoch 20 - iter 56/280 - loss 1.20248891 -2019-06-26 14:39:20,775 epoch 20 - iter 84/280 - loss 1.22512444 -2019-06-26 14:39:25,224 epoch 20 - iter 112/280 - loss 1.23565484 -2019-06-26 14:39:29,922 epoch 20 - iter 140/280 - loss 1.26262406 -2019-06-26 14:39:34,458 epoch 20 - iter 168/280 - loss 1.26885648 -2019-06-26 14:39:38,917 epoch 20 - iter 196/280 - loss 1.27315865 -2019-06-26 14:39:43,395 epoch 20 - iter 224/280 - loss 1.27585357 -2019-06-26 14:39:47,727 epoch 20 - iter 252/280 - loss 1.25374234 -2019-06-26 14:39:52,076 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:39:52,076 EPOCH 20 done: loss 1.2610 - lr 0.1000 -2019-06-26 14:40:43,317 TEST : loss 1.7584693431854248 - score 0.9634 -2019-06-26 14:40:43,317 BAD EPOCHS (no improvement): 0 -2019-06-26 14:40:43,318 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:40:43,488 epoch 21 - iter 0/280 - loss 1.28996682 -2019-06-26 14:40:48,063 epoch 21 - iter 28/280 - loss 1.06834977 -2019-06-26 14:40:52,567 epoch 21 - iter 56/280 - loss 1.06705364 -2019-06-26 14:40:57,044 epoch 21 - iter 84/280 - loss 1.11361691 -2019-06-26 14:41:01,530 epoch 21 - iter 112/280 - loss 1.15312364 -2019-06-26 14:41:06,127 epoch 21 - iter 140/280 - loss 1.18642242 -2019-06-26 14:41:10,578 epoch 21 - iter 168/280 - loss 1.19436899 -2019-06-26 14:41:15,143 epoch 21 - iter 196/280 - loss 1.19077737 -2019-06-26 14:41:19,509 epoch 21 - iter 224/280 - loss 1.23867661 -2019-06-26 14:41:23,867 epoch 21 - iter 252/280 - loss 1.23428786 -2019-06-26 14:41:28,104 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:41:28,104 EPOCH 21 done: loss 1.2276 - lr 0.1000 -2019-06-26 14:42:20,222 TEST : loss 1.8774065971374512 - score 0.9619 -2019-06-26 14:42:20,222 BAD EPOCHS (no improvement): 0 -2019-06-26 14:42:20,223 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:42:20,382 epoch 22 - iter 0/280 - loss 1.17911446 -2019-06-26 14:42:25,095 epoch 22 - iter 28/280 - loss 1.13378173 -2019-06-26 14:42:29,618 epoch 22 - iter 56/280 - loss 1.16726347 -2019-06-26 14:42:34,135 epoch 22 - iter 84/280 - loss 1.20701044 -2019-06-26 14:42:38,548 epoch 22 - iter 112/280 - loss 1.18674815 -2019-06-26 14:42:43,105 epoch 22 - iter 140/280 - loss 1.19464992 -2019-06-26 14:42:47,811 epoch 22 - iter 168/280 - loss 1.18140813 -2019-06-26 14:42:52,331 epoch 22 - iter 196/280 - loss 1.21559314 -2019-06-26 14:42:56,900 epoch 22 - iter 224/280 - loss 1.20438520 -2019-06-26 14:43:01,337 epoch 22 - iter 252/280 - loss 1.20125501 -2019-06-26 14:43:05,529 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:43:05,529 EPOCH 22 done: loss 1.1979 - lr 0.1000 -2019-06-26 14:43:57,583 TEST : loss 1.8019717931747437 - score 0.9613 -2019-06-26 14:43:57,583 BAD EPOCHS (no improvement): 0 -2019-06-26 14:43:57,584 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:43:57,759 epoch 23 - iter 0/280 - loss 1.34907794 -2019-06-26 14:44:02,626 epoch 23 - iter 28/280 - loss 1.13583340 -2019-06-26 14:44:07,076 epoch 23 - iter 56/280 - loss 1.13521014 -2019-06-26 14:44:11,452 epoch 23 - iter 84/280 - loss 1.13520224 -2019-06-26 14:44:16,008 epoch 23 - iter 112/280 - loss 1.17579619 -2019-06-26 14:44:20,540 epoch 23 - iter 140/280 - loss 1.19583908 -2019-06-26 14:44:24,964 epoch 23 - iter 168/280 - loss 1.20920901 -2019-06-26 14:44:29,394 epoch 23 - iter 196/280 - loss 1.20057050 -2019-06-26 14:44:33,926 epoch 23 - iter 224/280 - loss 1.18921034 -2019-06-26 14:44:38,305 epoch 23 - iter 252/280 - loss 1.18437344 -2019-06-26 14:44:42,600 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:44:42,600 EPOCH 23 done: loss 1.1807 - lr 0.1000 -2019-06-26 14:45:34,797 TEST : loss 1.7781935930252075 - score 0.9635 -2019-06-26 14:45:34,797 BAD EPOCHS (no improvement): 0 -2019-06-26 14:45:34,798 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:45:35,005 epoch 24 - iter 0/280 - loss 1.08047354 -2019-06-26 14:45:39,722 epoch 24 - iter 28/280 - loss 1.17401704 -2019-06-26 14:45:44,453 epoch 24 - iter 56/280 - loss 1.10257812 -2019-06-26 14:45:48,980 epoch 24 - iter 84/280 - loss 1.09998343 -2019-06-26 14:45:53,473 epoch 24 - iter 112/280 - loss 1.09284009 -2019-06-26 14:45:58,247 epoch 24 - iter 140/280 - loss 1.08777378 -2019-06-26 14:46:02,788 epoch 24 - iter 168/280 - loss 1.11524473 -2019-06-26 14:46:07,390 epoch 24 - iter 196/280 - loss 1.14997190 -2019-06-26 14:46:11,983 epoch 24 - iter 224/280 - loss 1.14517686 -2019-06-26 14:46:16,529 epoch 24 - iter 252/280 - loss 1.14481583 -2019-06-26 14:46:21,029 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:46:21,029 EPOCH 24 done: loss 1.1395 - lr 0.1000 -2019-06-26 14:47:13,191 TEST : loss 1.8337434530258179 - score 0.9634 -2019-06-26 14:47:13,191 BAD EPOCHS (no improvement): 0 -2019-06-26 14:47:13,192 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:47:13,367 epoch 25 - iter 0/280 - loss 1.16664779 -2019-06-26 14:47:18,097 epoch 25 - iter 28/280 - loss 0.90334960 -2019-06-26 14:47:22,565 epoch 25 - iter 56/280 - loss 0.90646660 -2019-06-26 14:47:27,160 epoch 25 - iter 84/280 - loss 0.94000274 -2019-06-26 14:47:31,745 epoch 25 - iter 112/280 - loss 0.98350061 -2019-06-26 14:47:36,269 epoch 25 - iter 140/280 - loss 1.01042072 -2019-06-26 14:47:40,886 epoch 25 - iter 168/280 - loss 1.01442424 -2019-06-26 14:47:45,453 epoch 25 - iter 196/280 - loss 1.02643418 -2019-06-26 14:47:49,886 epoch 25 - iter 224/280 - loss 1.02958027 -2019-06-26 14:47:54,357 epoch 25 - iter 252/280 - loss 1.02571194 -2019-06-26 14:47:58,504 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:47:58,504 EPOCH 25 done: loss 1.0520 - lr 0.1000 -2019-06-26 14:48:50,806 TEST : loss 1.8774319887161255 - score 0.9618 -2019-06-26 14:48:50,807 BAD EPOCHS (no improvement): 0 -2019-06-26 14:48:50,807 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:48:51,002 epoch 26 - iter 0/280 - loss 1.61207485 -2019-06-26 14:48:55,776 epoch 26 - iter 28/280 - loss 1.14554387 -2019-06-26 14:49:00,200 epoch 26 - iter 56/280 - loss 1.02413738 -2019-06-26 14:49:04,552 epoch 26 - iter 84/280 - loss 1.08677983 -2019-06-26 14:49:08,976 epoch 26 - iter 112/280 - loss 1.06009672 -2019-06-26 14:49:13,554 epoch 26 - iter 140/280 - loss 1.09108634 -2019-06-26 14:49:18,043 epoch 26 - iter 168/280 - loss 1.10479450 -2019-06-26 14:49:22,695 epoch 26 - iter 196/280 - loss 1.09411299 -2019-06-26 14:49:27,190 epoch 26 - iter 224/280 - loss 1.10432860 -2019-06-26 14:49:31,914 epoch 26 - iter 252/280 - loss 1.10151739 -2019-06-26 14:49:36,274 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:49:36,274 EPOCH 26 done: loss 1.1010 - lr 0.1000 -2019-06-26 14:50:28,621 TEST : loss 1.8864859342575073 - score 0.9625 -2019-06-26 14:50:28,621 BAD EPOCHS (no improvement): 1 -2019-06-26 14:50:28,622 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:50:28,828 epoch 27 - iter 0/280 - loss 1.19639981 -2019-06-26 14:50:33,476 epoch 27 - iter 28/280 - loss 0.98612026 -2019-06-26 14:50:38,003 epoch 27 - iter 56/280 - loss 0.94207267 -2019-06-26 14:50:42,672 epoch 27 - iter 84/280 - loss 0.99829816 -2019-06-26 14:50:47,088 epoch 27 - iter 112/280 - loss 1.02278319 -2019-06-26 14:50:51,563 epoch 27 - iter 140/280 - loss 1.06092775 -2019-06-26 14:50:56,277 epoch 27 - iter 168/280 - loss 1.06535517 -2019-06-26 14:51:00,809 epoch 27 - iter 196/280 - loss 1.06319662 -2019-06-26 14:51:05,306 epoch 27 - iter 224/280 - loss 1.05891730 -2019-06-26 14:51:09,684 epoch 27 - iter 252/280 - loss 1.04726038 -2019-06-26 14:51:13,959 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:51:13,959 EPOCH 27 done: loss 1.0576 - lr 0.1000 -2019-06-26 14:52:06,256 TEST : loss 1.8572862148284912 - score 0.9633 -2019-06-26 14:52:06,256 BAD EPOCHS (no improvement): 2 -2019-06-26 14:52:06,256 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:52:06,398 epoch 28 - iter 0/280 - loss 1.24396205 -2019-06-26 14:52:11,231 epoch 28 - iter 28/280 - loss 1.09773276 -2019-06-26 14:52:15,814 epoch 28 - iter 56/280 - loss 1.03477824 -2019-06-26 14:52:20,393 epoch 28 - iter 84/280 - loss 0.99079184 -2019-06-26 14:52:25,017 epoch 28 - iter 112/280 - loss 0.99134235 -2019-06-26 14:52:29,461 epoch 28 - iter 140/280 - loss 0.98367606 -2019-06-26 14:52:33,988 epoch 28 - iter 168/280 - loss 0.99680932 -2019-06-26 14:52:38,443 epoch 28 - iter 196/280 - loss 0.99969619 -2019-06-26 14:52:42,922 epoch 28 - iter 224/280 - loss 1.01207086 -2019-06-26 14:52:47,321 epoch 28 - iter 252/280 - loss 1.00959216 -2019-06-26 14:52:51,548 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:52:51,548 EPOCH 28 done: loss 1.0147 - lr 0.1000 -2019-06-26 14:53:43,725 TEST : loss 1.8607606887817383 - score 0.9628 -2019-06-26 14:53:43,725 BAD EPOCHS (no improvement): 0 -2019-06-26 14:53:43,726 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:53:43,891 epoch 29 - iter 0/280 - loss 0.45126438 -2019-06-26 14:53:48,712 epoch 29 - iter 28/280 - loss 0.83697556 -2019-06-26 14:53:53,329 epoch 29 - iter 56/280 - loss 0.89894015 -2019-06-26 14:53:57,739 epoch 29 - iter 84/280 - loss 0.87253858 -2019-06-26 14:54:02,349 epoch 29 - iter 112/280 - loss 0.90289723 -2019-06-26 14:54:06,801 epoch 29 - iter 140/280 - loss 0.90867783 -2019-06-26 14:54:11,234 epoch 29 - iter 168/280 - loss 0.92377715 -2019-06-26 14:54:15,725 epoch 29 - iter 196/280 - loss 0.91639236 -2019-06-26 14:54:20,269 epoch 29 - iter 224/280 - loss 0.94769305 -2019-06-26 14:54:24,745 epoch 29 - iter 252/280 - loss 0.97030934 -2019-06-26 14:54:29,003 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:54:29,004 EPOCH 29 done: loss 0.9601 - lr 0.1000 -2019-06-26 14:55:20,268 TEST : loss 1.8925654888153076 - score 0.9642 -2019-06-26 14:55:20,268 BAD EPOCHS (no improvement): 0 -2019-06-26 14:55:20,269 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:55:20,422 epoch 30 - iter 0/280 - loss 0.92714924 -2019-06-26 14:55:25,169 epoch 30 - iter 28/280 - loss 1.05379426 -2019-06-26 14:55:29,776 epoch 30 - iter 56/280 - loss 0.96880723 -2019-06-26 14:55:34,249 epoch 30 - iter 84/280 - loss 0.93625784 -2019-06-26 14:55:38,882 epoch 30 - iter 112/280 - loss 0.90520427 -2019-06-26 14:55:43,473 epoch 30 - iter 140/280 - loss 0.90608632 -2019-06-26 14:55:48,144 epoch 30 - iter 168/280 - loss 0.92741475 -2019-06-26 14:55:52,752 epoch 30 - iter 196/280 - loss 0.93999787 -2019-06-26 14:55:57,286 epoch 30 - iter 224/280 - loss 0.93328729 -2019-06-26 14:56:01,926 epoch 30 - iter 252/280 - loss 0.94086713 -2019-06-26 14:56:06,193 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:56:06,194 EPOCH 30 done: loss 0.9481 - lr 0.1000 -2019-06-26 14:56:58,332 TEST : loss 1.979645848274231 - score 0.9618 -2019-06-26 14:56:58,333 BAD EPOCHS (no improvement): 0 -2019-06-26 14:56:58,333 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:56:58,496 epoch 31 - iter 0/280 - loss 0.91722262 -2019-06-26 14:57:03,129 epoch 31 - iter 28/280 - loss 0.77109618 -2019-06-26 14:57:07,803 epoch 31 - iter 56/280 - loss 0.77323100 -2019-06-26 14:57:12,170 epoch 31 - iter 84/280 - loss 0.84700120 -2019-06-26 14:57:16,767 epoch 31 - iter 112/280 - loss 0.86481599 -2019-06-26 14:57:21,228 epoch 31 - iter 140/280 - loss 0.88258997 -2019-06-26 14:57:25,723 epoch 31 - iter 168/280 - loss 0.90218748 -2019-06-26 14:57:30,221 epoch 31 - iter 196/280 - loss 0.91154435 -2019-06-26 14:57:34,620 epoch 31 - iter 224/280 - loss 0.91209728 -2019-06-26 14:57:39,153 epoch 31 - iter 252/280 - loss 0.92870848 -2019-06-26 14:57:43,584 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:57:43,584 EPOCH 31 done: loss 0.9291 - lr 0.1000 -2019-06-26 14:58:35,739 TEST : loss 1.9733103513717651 - score 0.9629 -2019-06-26 14:58:35,739 BAD EPOCHS (no improvement): 0 -2019-06-26 14:58:35,740 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:58:35,924 epoch 32 - iter 0/280 - loss 0.53665662 -2019-06-26 14:58:40,646 epoch 32 - iter 28/280 - loss 0.92915816 -2019-06-26 14:58:45,334 epoch 32 - iter 56/280 - loss 0.86631410 -2019-06-26 14:58:49,833 epoch 32 - iter 84/280 - loss 0.86998400 -2019-06-26 14:58:54,548 epoch 32 - iter 112/280 - loss 0.89361953 -2019-06-26 14:58:58,976 epoch 32 - iter 140/280 - loss 0.91562131 -2019-06-26 14:59:03,505 epoch 32 - iter 168/280 - loss 0.91202690 -2019-06-26 14:59:08,005 epoch 32 - iter 196/280 - loss 0.90611397 -2019-06-26 14:59:12,539 epoch 32 - iter 224/280 - loss 0.90932902 -2019-06-26 14:59:17,031 epoch 32 - iter 252/280 - loss 0.91859822 -2019-06-26 14:59:21,367 ---------------------------------------------------------------------------------------------------- -2019-06-26 14:59:21,367 EPOCH 32 done: loss 0.9088 - lr 0.1000 -2019-06-26 15:00:13,469 TEST : loss 2.0043067932128906 - score 0.9623 -2019-06-26 15:00:13,470 BAD EPOCHS (no improvement): 0 -2019-06-26 15:00:13,470 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:00:13,653 epoch 33 - iter 0/280 - loss 0.45414042 -2019-06-26 15:00:18,339 epoch 33 - iter 28/280 - loss 0.95446683 -2019-06-26 15:00:23,016 epoch 33 - iter 56/280 - loss 0.97273431 -2019-06-26 15:00:27,535 epoch 33 - iter 84/280 - loss 1.01040536 -2019-06-26 15:00:32,092 epoch 33 - iter 112/280 - loss 1.00276459 -2019-06-26 15:00:36,622 epoch 33 - iter 140/280 - loss 0.97114779 -2019-06-26 15:00:41,192 epoch 33 - iter 168/280 - loss 0.94158140 -2019-06-26 15:00:45,678 epoch 33 - iter 196/280 - loss 0.96233401 -2019-06-26 15:00:50,221 epoch 33 - iter 224/280 - loss 0.94489920 -2019-06-26 15:00:54,660 epoch 33 - iter 252/280 - loss 0.92737406 -2019-06-26 15:00:58,974 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:00:58,974 EPOCH 33 done: loss 0.9151 - lr 0.1000 -2019-06-26 15:01:51,273 TEST : loss 1.950758934020996 - score 0.9635 -2019-06-26 15:01:51,273 BAD EPOCHS (no improvement): 1 -2019-06-26 15:01:51,274 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:01:51,453 epoch 34 - iter 0/280 - loss 0.65416598 -2019-06-26 15:01:56,292 epoch 34 - iter 28/280 - loss 0.77760625 -2019-06-26 15:02:00,910 epoch 34 - iter 56/280 - loss 0.82198998 -2019-06-26 15:02:05,407 epoch 34 - iter 84/280 - loss 0.83587404 -2019-06-26 15:02:10,075 epoch 34 - iter 112/280 - loss 0.82156033 -2019-06-26 15:02:14,499 epoch 34 - iter 140/280 - loss 0.82465426 -2019-06-26 15:02:19,191 epoch 34 - iter 168/280 - loss 0.84559496 -2019-06-26 15:02:23,602 epoch 34 - iter 196/280 - loss 0.84335913 -2019-06-26 15:02:28,110 epoch 34 - iter 224/280 - loss 0.85230265 -2019-06-26 15:02:32,554 epoch 34 - iter 252/280 - loss 0.83746381 -2019-06-26 15:02:36,952 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:02:36,952 EPOCH 34 done: loss 0.8558 - lr 0.1000 -2019-06-26 15:03:29,107 TEST : loss 1.9900223016738892 - score 0.9632 -2019-06-26 15:03:29,108 BAD EPOCHS (no improvement): 0 -2019-06-26 15:03:29,108 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:03:29,268 epoch 35 - iter 0/280 - loss 1.05718565 -2019-06-26 15:03:33,954 epoch 35 - iter 28/280 - loss 0.92149276 -2019-06-26 15:03:38,419 epoch 35 - iter 56/280 - loss 0.87480180 -2019-06-26 15:03:42,914 epoch 35 - iter 84/280 - loss 0.85802499 -2019-06-26 15:03:47,341 epoch 35 - iter 112/280 - loss 0.85696126 -2019-06-26 15:03:51,945 epoch 35 - iter 140/280 - loss 0.82768845 -2019-06-26 15:03:56,623 epoch 35 - iter 168/280 - loss 0.82320390 -2019-06-26 15:04:01,129 epoch 35 - iter 196/280 - loss 0.82662781 -2019-06-26 15:04:05,576 epoch 35 - iter 224/280 - loss 0.82474001 -2019-06-26 15:04:10,065 epoch 35 - iter 252/280 - loss 0.84663328 -2019-06-26 15:04:14,269 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:04:14,269 EPOCH 35 done: loss 0.8525 - lr 0.1000 -2019-06-26 15:05:06,466 TEST : loss 1.966105580329895 - score 0.9627 -2019-06-26 15:05:06,466 BAD EPOCHS (no improvement): 0 -2019-06-26 15:05:06,467 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:05:06,643 epoch 36 - iter 0/280 - loss 0.56879890 -2019-06-26 15:05:11,502 epoch 36 - iter 28/280 - loss 0.72558379 -2019-06-26 15:05:16,175 epoch 36 - iter 56/280 - loss 0.78304635 -2019-06-26 15:05:20,768 epoch 36 - iter 84/280 - loss 0.80102910 -2019-06-26 15:05:25,412 epoch 36 - iter 112/280 - loss 0.80503865 -2019-06-26 15:05:29,847 epoch 36 - iter 140/280 - loss 0.79658336 -2019-06-26 15:05:34,439 epoch 36 - iter 168/280 - loss 0.79183256 -2019-06-26 15:05:38,894 epoch 36 - iter 196/280 - loss 0.78896939 -2019-06-26 15:05:43,326 epoch 36 - iter 224/280 - loss 0.78449793 -2019-06-26 15:05:47,844 epoch 36 - iter 252/280 - loss 0.79855091 -2019-06-26 15:05:52,220 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:05:52,221 EPOCH 36 done: loss 0.8059 - lr 0.1000 -2019-06-26 15:06:44,344 TEST : loss 2.035790205001831 - score 0.9631 -2019-06-26 15:06:44,344 BAD EPOCHS (no improvement): 0 -2019-06-26 15:06:44,359 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:06:44,527 epoch 37 - iter 0/280 - loss 0.51793337 -2019-06-26 15:06:49,355 epoch 37 - iter 28/280 - loss 0.80546520 -2019-06-26 15:06:53,919 epoch 37 - iter 56/280 - loss 0.81623216 -2019-06-26 15:06:58,525 epoch 37 - iter 84/280 - loss 0.84301497 -2019-06-26 15:07:03,143 epoch 37 - iter 112/280 - loss 0.82350034 -2019-06-26 15:07:07,651 epoch 37 - iter 140/280 - loss 0.81795923 -2019-06-26 15:07:11,938 epoch 37 - iter 168/280 - loss 0.80187853 -2019-06-26 15:07:16,339 epoch 37 - iter 196/280 - loss 0.79530916 -2019-06-26 15:07:20,892 epoch 37 - iter 224/280 - loss 0.79919074 -2019-06-26 15:07:25,451 epoch 37 - iter 252/280 - loss 0.80336606 -2019-06-26 15:07:29,793 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:07:29,793 EPOCH 37 done: loss 0.8024 - lr 0.1000 -2019-06-26 15:08:21,907 TEST : loss 2.0276522636413574 - score 0.9633 -2019-06-26 15:08:21,907 BAD EPOCHS (no improvement): 0 -2019-06-26 15:08:21,907 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:08:22,075 epoch 38 - iter 0/280 - loss 0.78681540 -2019-06-26 15:08:26,784 epoch 38 - iter 28/280 - loss 0.83508222 -2019-06-26 15:08:31,413 epoch 38 - iter 56/280 - loss 0.79383173 -2019-06-26 15:08:35,919 epoch 38 - iter 84/280 - loss 0.78946933 -2019-06-26 15:08:40,464 epoch 38 - iter 112/280 - loss 0.78775339 -2019-06-26 15:08:45,130 epoch 38 - iter 140/280 - loss 0.78040287 -2019-06-26 15:08:49,754 epoch 38 - iter 168/280 - loss 0.76987292 -2019-06-26 15:08:54,493 epoch 38 - iter 196/280 - loss 0.77868094 -2019-06-26 15:08:59,092 epoch 38 - iter 224/280 - loss 0.78211523 -2019-06-26 15:09:03,743 epoch 38 - iter 252/280 - loss 0.78553226 -2019-06-26 15:09:08,163 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:09:08,163 EPOCH 38 done: loss 0.7734 - lr 0.1000 -2019-06-26 15:09:59,527 TEST : loss 2.0704448223114014 - score 0.9628 -2019-06-26 15:09:59,528 BAD EPOCHS (no improvement): 0 -2019-06-26 15:09:59,528 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:09:59,714 epoch 39 - iter 0/280 - loss 0.61323690 -2019-06-26 15:10:04,400 epoch 39 - iter 28/280 - loss 0.96333066 -2019-06-26 15:10:08,861 epoch 39 - iter 56/280 - loss 0.86702480 -2019-06-26 15:10:13,449 epoch 39 - iter 84/280 - loss 0.81874902 -2019-06-26 15:10:18,030 epoch 39 - iter 112/280 - loss 0.82808237 -2019-06-26 15:10:22,416 epoch 39 - iter 140/280 - loss 0.81732286 -2019-06-26 15:10:26,876 epoch 39 - iter 168/280 - loss 0.81842411 -2019-06-26 15:10:31,471 epoch 39 - iter 196/280 - loss 0.80888003 -2019-06-26 15:10:36,028 epoch 39 - iter 224/280 - loss 0.81492507 -2019-06-26 15:10:40,618 epoch 39 - iter 252/280 - loss 0.82492452 -2019-06-26 15:10:44,989 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:10:44,989 EPOCH 39 done: loss 0.8184 - lr 0.1000 -2019-06-26 15:11:37,032 TEST : loss 2.1211190223693848 - score 0.9623 -2019-06-26 15:11:37,033 BAD EPOCHS (no improvement): 1 -2019-06-26 15:11:37,033 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:11:37,210 epoch 40 - iter 0/280 - loss 1.67200387 -2019-06-26 15:11:41,749 epoch 40 - iter 28/280 - loss 0.82456282 -2019-06-26 15:11:46,295 epoch 40 - iter 56/280 - loss 0.77902945 -2019-06-26 15:11:50,850 epoch 40 - iter 84/280 - loss 0.74322349 -2019-06-26 15:11:55,373 epoch 40 - iter 112/280 - loss 0.72256422 -2019-06-26 15:11:59,962 epoch 40 - iter 140/280 - loss 0.74095103 -2019-06-26 15:12:04,375 epoch 40 - iter 168/280 - loss 0.74551860 -2019-06-26 15:12:08,857 epoch 40 - iter 196/280 - loss 0.76284449 -2019-06-26 15:12:13,403 epoch 40 - iter 224/280 - loss 0.76294742 -2019-06-26 15:12:17,939 epoch 40 - iter 252/280 - loss 0.74764660 -2019-06-26 15:12:22,280 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:12:22,280 EPOCH 40 done: loss 0.7514 - lr 0.1000 -2019-06-26 15:13:14,372 TEST : loss 2.1007323265075684 - score 0.9636 -2019-06-26 15:13:14,373 BAD EPOCHS (no improvement): 0 -2019-06-26 15:13:14,374 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:13:14,533 epoch 41 - iter 0/280 - loss 0.42111897 -2019-06-26 15:13:19,554 epoch 41 - iter 28/280 - loss 0.77503023 -2019-06-26 15:13:24,211 epoch 41 - iter 56/280 - loss 0.78353029 -2019-06-26 15:13:28,802 epoch 41 - iter 84/280 - loss 0.76611466 -2019-06-26 15:13:33,263 epoch 41 - iter 112/280 - loss 0.74319724 -2019-06-26 15:13:37,777 epoch 41 - iter 140/280 - loss 0.72652080 -2019-06-26 15:13:42,172 epoch 41 - iter 168/280 - loss 0.70016511 -2019-06-26 15:13:46,730 epoch 41 - iter 196/280 - loss 0.70690286 -2019-06-26 15:13:51,270 epoch 41 - iter 224/280 - loss 0.70345494 -2019-06-26 15:13:55,888 epoch 41 - iter 252/280 - loss 0.71466850 -2019-06-26 15:14:00,189 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:14:00,189 EPOCH 41 done: loss 0.7192 - lr 0.1000 -2019-06-26 15:14:52,310 TEST : loss 2.087796211242676 - score 0.9642 -2019-06-26 15:14:52,310 BAD EPOCHS (no improvement): 0 -2019-06-26 15:14:52,312 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:14:52,459 epoch 42 - iter 0/280 - loss 0.21955210 -2019-06-26 15:14:57,188 epoch 42 - iter 28/280 - loss 0.78082746 -2019-06-26 15:15:01,874 epoch 42 - iter 56/280 - loss 0.74373855 -2019-06-26 15:15:06,435 epoch 42 - iter 84/280 - loss 0.70385418 -2019-06-26 15:15:10,989 epoch 42 - iter 112/280 - loss 0.70442427 -2019-06-26 15:15:15,471 epoch 42 - iter 140/280 - loss 0.71804756 -2019-06-26 15:15:20,072 epoch 42 - iter 168/280 - loss 0.71743247 -2019-06-26 15:15:24,627 epoch 42 - iter 196/280 - loss 0.71569383 -2019-06-26 15:15:29,207 epoch 42 - iter 224/280 - loss 0.71457595 -2019-06-26 15:15:33,824 epoch 42 - iter 252/280 - loss 0.72301567 -2019-06-26 15:15:38,174 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:15:38,174 EPOCH 42 done: loss 0.7130 - lr 0.1000 -2019-06-26 15:16:30,266 TEST : loss 2.100335121154785 - score 0.9634 -2019-06-26 15:16:30,266 BAD EPOCHS (no improvement): 0 -2019-06-26 15:16:30,267 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:16:30,447 epoch 43 - iter 0/280 - loss 0.45691299 -2019-06-26 15:16:35,200 epoch 43 - iter 28/280 - loss 0.64376958 -2019-06-26 15:16:39,797 epoch 43 - iter 56/280 - loss 0.69408132 -2019-06-26 15:16:44,298 epoch 43 - iter 84/280 - loss 0.74732424 -2019-06-26 15:16:48,870 epoch 43 - iter 112/280 - loss 0.71927275 -2019-06-26 15:16:53,455 epoch 43 - iter 140/280 - loss 0.69322425 -2019-06-26 15:16:57,910 epoch 43 - iter 168/280 - loss 0.70044417 -2019-06-26 15:17:02,394 epoch 43 - iter 196/280 - loss 0.70676348 -2019-06-26 15:17:06,803 epoch 43 - iter 224/280 - loss 0.72800395 -2019-06-26 15:17:11,376 epoch 43 - iter 252/280 - loss 0.73704904 -2019-06-26 15:17:15,600 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:17:15,600 EPOCH 43 done: loss 0.7370 - lr 0.1000 -2019-06-26 15:18:07,763 TEST : loss 2.105508804321289 - score 0.9634 -2019-06-26 15:18:07,763 BAD EPOCHS (no improvement): 1 -2019-06-26 15:18:07,764 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:18:07,938 epoch 44 - iter 0/280 - loss 0.50480294 -2019-06-26 15:18:12,573 epoch 44 - iter 28/280 - loss 0.76401286 -2019-06-26 15:18:17,247 epoch 44 - iter 56/280 - loss 0.69002674 -2019-06-26 15:18:21,696 epoch 44 - iter 84/280 - loss 0.67724644 -2019-06-26 15:18:26,194 epoch 44 - iter 112/280 - loss 0.69183897 -2019-06-26 15:18:30,688 epoch 44 - iter 140/280 - loss 0.68254432 -2019-06-26 15:18:35,193 epoch 44 - iter 168/280 - loss 0.71963049 -2019-06-26 15:18:39,612 epoch 44 - iter 196/280 - loss 0.73577868 -2019-06-26 15:18:44,136 epoch 44 - iter 224/280 - loss 0.74282439 -2019-06-26 15:18:48,636 epoch 44 - iter 252/280 - loss 0.73489287 -2019-06-26 15:18:52,911 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:18:52,911 EPOCH 44 done: loss 0.7258 - lr 0.1000 -2019-06-26 15:19:45,142 TEST : loss 2.0978152751922607 - score 0.9636 -2019-06-26 15:19:45,142 BAD EPOCHS (no improvement): 2 -2019-06-26 15:19:45,149 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:19:45,334 epoch 45 - iter 0/280 - loss 0.56103897 -2019-06-26 15:19:50,144 epoch 45 - iter 28/280 - loss 0.80171031 -2019-06-26 15:19:54,581 epoch 45 - iter 56/280 - loss 0.69663360 -2019-06-26 15:19:59,194 epoch 45 - iter 84/280 - loss 0.67130597 -2019-06-26 15:20:03,609 epoch 45 - iter 112/280 - loss 0.66900025 -2019-06-26 15:20:08,260 epoch 45 - iter 140/280 - loss 0.67122968 -2019-06-26 15:20:12,820 epoch 45 - iter 168/280 - loss 0.67083062 -2019-06-26 15:20:17,525 epoch 45 - iter 196/280 - loss 0.66809371 -2019-06-26 15:20:22,214 epoch 45 - iter 224/280 - loss 0.68855116 -2019-06-26 15:20:26,747 epoch 45 - iter 252/280 - loss 0.67819285 -2019-06-26 15:20:31,090 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:20:31,091 EPOCH 45 done: loss 0.6651 - lr 0.1000 -2019-06-26 15:21:23,478 TEST : loss 2.141740322113037 - score 0.964 -2019-06-26 15:21:23,478 BAD EPOCHS (no improvement): 0 -2019-06-26 15:21:23,478 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:21:23,665 epoch 46 - iter 0/280 - loss 0.75932550 -2019-06-26 15:21:28,464 epoch 46 - iter 28/280 - loss 0.64017531 -2019-06-26 15:21:33,003 epoch 46 - iter 56/280 - loss 0.60484429 -2019-06-26 15:21:37,517 epoch 46 - iter 84/280 - loss 0.62013110 -2019-06-26 15:21:42,062 epoch 46 - iter 112/280 - loss 0.64508151 -2019-06-26 15:21:46,778 epoch 46 - iter 140/280 - loss 0.61810864 -2019-06-26 15:21:51,368 epoch 46 - iter 168/280 - loss 0.64338228 -2019-06-26 15:21:55,931 epoch 46 - iter 196/280 - loss 0.64633186 -2019-06-26 15:22:00,452 epoch 46 - iter 224/280 - loss 0.67146225 -2019-06-26 15:22:04,910 epoch 46 - iter 252/280 - loss 0.67507339 -2019-06-26 15:22:09,527 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:22:09,527 EPOCH 46 done: loss 0.6821 - lr 0.1000 -2019-06-26 15:23:01,735 TEST : loss 2.1733245849609375 - score 0.9629 -2019-06-26 15:23:01,735 BAD EPOCHS (no improvement): 1 -2019-06-26 15:23:01,736 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:23:01,888 epoch 47 - iter 0/280 - loss 0.15216732 -2019-06-26 15:23:06,577 epoch 47 - iter 28/280 - loss 0.56430436 -2019-06-26 15:23:11,107 epoch 47 - iter 56/280 - loss 0.57636015 -2019-06-26 15:23:15,706 epoch 47 - iter 84/280 - loss 0.62187068 -2019-06-26 15:23:20,263 epoch 47 - iter 112/280 - loss 0.62599630 -2019-06-26 15:23:24,760 epoch 47 - iter 140/280 - loss 0.63918550 -2019-06-26 15:23:29,331 epoch 47 - iter 168/280 - loss 0.63939432 -2019-06-26 15:23:33,725 epoch 47 - iter 196/280 - loss 0.63942193 -2019-06-26 15:23:38,332 epoch 47 - iter 224/280 - loss 0.63854584 -2019-06-26 15:23:42,954 epoch 47 - iter 252/280 - loss 0.63900971 -2019-06-26 15:23:47,377 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:23:47,378 EPOCH 47 done: loss 0.6567 - lr 0.1000 -2019-06-26 15:24:38,671 TEST : loss 2.1622672080993652 - score 0.9637 -2019-06-26 15:24:38,672 BAD EPOCHS (no improvement): 0 -2019-06-26 15:24:38,673 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:24:38,873 epoch 48 - iter 0/280 - loss 0.90702248 -2019-06-26 15:24:43,619 epoch 48 - iter 28/280 - loss 0.72422430 -2019-06-26 15:24:48,171 epoch 48 - iter 56/280 - loss 0.72247195 -2019-06-26 15:24:52,686 epoch 48 - iter 84/280 - loss 0.69023335 -2019-06-26 15:24:57,250 epoch 48 - iter 112/280 - loss 0.67765080 -2019-06-26 15:25:01,772 epoch 48 - iter 140/280 - loss 0.68376378 -2019-06-26 15:25:06,264 epoch 48 - iter 168/280 - loss 0.67262437 -2019-06-26 15:25:10,612 epoch 48 - iter 196/280 - loss 0.66507121 -2019-06-26 15:25:15,119 epoch 48 - iter 224/280 - loss 0.66701821 -2019-06-26 15:25:19,499 epoch 48 - iter 252/280 - loss 0.66695414 -2019-06-26 15:25:23,772 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:25:23,773 EPOCH 48 done: loss 0.6591 - lr 0.1000 -2019-06-26 15:26:15,958 TEST : loss 2.2142744064331055 - score 0.9641 -2019-06-26 15:26:15,958 BAD EPOCHS (no improvement): 1 -2019-06-26 15:26:15,960 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:26:16,120 epoch 49 - iter 0/280 - loss 0.57633018 -2019-06-26 15:26:20,716 epoch 49 - iter 28/280 - loss 0.53129290 -2019-06-26 15:26:25,254 epoch 49 - iter 56/280 - loss 0.60481149 -2019-06-26 15:26:29,627 epoch 49 - iter 84/280 - loss 0.64345203 -2019-06-26 15:26:34,243 epoch 49 - iter 112/280 - loss 0.65253572 -2019-06-26 15:26:38,644 epoch 49 - iter 140/280 - loss 0.64470922 -2019-06-26 15:26:43,414 epoch 49 - iter 168/280 - loss 0.64279602 -2019-06-26 15:26:48,128 epoch 49 - iter 196/280 - loss 0.63947064 -2019-06-26 15:26:52,674 epoch 49 - iter 224/280 - loss 0.62835845 -2019-06-26 15:26:57,002 epoch 49 - iter 252/280 - loss 0.62581115 -2019-06-26 15:27:01,189 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:27:01,189 EPOCH 49 done: loss 0.6293 - lr 0.1000 -2019-06-26 15:27:53,269 TEST : loss 2.193598985671997 - score 0.9638 -2019-06-26 15:27:53,269 BAD EPOCHS (no improvement): 0 -2019-06-26 15:27:53,270 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:27:53,493 epoch 50 - iter 0/280 - loss 0.60049629 -2019-06-26 15:27:58,106 epoch 50 - iter 28/280 - loss 0.63674849 -2019-06-26 15:28:02,661 epoch 50 - iter 56/280 - loss 0.62696076 -2019-06-26 15:28:07,248 epoch 50 - iter 84/280 - loss 0.60832055 -2019-06-26 15:28:11,868 epoch 50 - iter 112/280 - loss 0.60586484 -2019-06-26 15:28:16,524 epoch 50 - iter 140/280 - loss 0.60579247 -2019-06-26 15:28:20,959 epoch 50 - iter 168/280 - loss 0.62434807 -2019-06-26 15:28:25,384 epoch 50 - iter 196/280 - loss 0.61963228 -2019-06-26 15:28:29,768 epoch 50 - iter 224/280 - loss 0.61439442 -2019-06-26 15:28:34,306 epoch 50 - iter 252/280 - loss 0.60411266 -2019-06-26 15:28:38,662 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:28:38,662 EPOCH 50 done: loss 0.5990 - lr 0.1000 -2019-06-26 15:29:30,802 TEST : loss 2.216078281402588 - score 0.9642 -2019-06-26 15:29:30,802 BAD EPOCHS (no improvement): 0 -2019-06-26 15:29:30,803 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:29:30,963 epoch 51 - iter 0/280 - loss 0.13058907 -2019-06-26 15:29:35,794 epoch 51 - iter 28/280 - loss 0.62633909 -2019-06-26 15:29:40,347 epoch 51 - iter 56/280 - loss 0.60472134 -2019-06-26 15:29:44,810 epoch 51 - iter 84/280 - loss 0.56397492 -2019-06-26 15:29:49,403 epoch 51 - iter 112/280 - loss 0.59293095 -2019-06-26 15:29:53,978 epoch 51 - iter 140/280 - loss 0.58876401 -2019-06-26 15:29:58,563 epoch 51 - iter 168/280 - loss 0.60235601 -2019-06-26 15:30:03,106 epoch 51 - iter 196/280 - loss 0.61232703 -2019-06-26 15:30:07,659 epoch 51 - iter 224/280 - loss 0.61782744 -2019-06-26 15:30:12,127 epoch 51 - iter 252/280 - loss 0.62257337 -2019-06-26 15:30:16,418 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:30:16,418 EPOCH 51 done: loss 0.6161 - lr 0.1000 -2019-06-26 15:31:08,489 TEST : loss 2.1942827701568604 - score 0.9647 -2019-06-26 15:31:08,490 BAD EPOCHS (no improvement): 1 -2019-06-26 15:31:08,490 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:31:08,631 epoch 52 - iter 0/280 - loss 0.55298448 -2019-06-26 15:31:13,378 epoch 52 - iter 28/280 - loss 0.63840034 -2019-06-26 15:31:17,781 epoch 52 - iter 56/280 - loss 0.65675459 -2019-06-26 15:31:22,444 epoch 52 - iter 84/280 - loss 0.61163476 -2019-06-26 15:31:27,154 epoch 52 - iter 112/280 - loss 0.59975468 -2019-06-26 15:31:31,838 epoch 52 - iter 140/280 - loss 0.60336647 -2019-06-26 15:31:36,355 epoch 52 - iter 168/280 - loss 0.58356135 -2019-06-26 15:31:40,865 epoch 52 - iter 196/280 - loss 0.59735466 -2019-06-26 15:31:45,310 epoch 52 - iter 224/280 - loss 0.59498016 -2019-06-26 15:31:49,916 epoch 52 - iter 252/280 - loss 0.59862843 -2019-06-26 15:31:54,149 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:31:54,149 EPOCH 52 done: loss 0.5924 - lr 0.1000 -2019-06-26 15:32:46,200 TEST : loss 2.219547748565674 - score 0.9648 -2019-06-26 15:32:46,200 BAD EPOCHS (no improvement): 0 -2019-06-26 15:32:46,201 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:32:46,399 epoch 53 - iter 0/280 - loss 0.30364513 -2019-06-26 15:32:51,180 epoch 53 - iter 28/280 - loss 0.68573212 -2019-06-26 15:32:55,761 epoch 53 - iter 56/280 - loss 0.65122547 -2019-06-26 15:33:00,366 epoch 53 - iter 84/280 - loss 0.62678862 -2019-06-26 15:33:05,074 epoch 53 - iter 112/280 - loss 0.60495812 -2019-06-26 15:33:09,707 epoch 53 - iter 140/280 - loss 0.58921093 -2019-06-26 15:33:14,203 epoch 53 - iter 168/280 - loss 0.58578572 -2019-06-26 15:33:18,695 epoch 53 - iter 196/280 - loss 0.60998260 -2019-06-26 15:33:23,272 epoch 53 - iter 224/280 - loss 0.62969423 -2019-06-26 15:33:27,929 epoch 53 - iter 252/280 - loss 0.62236322 -2019-06-26 15:33:32,111 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:33:32,111 EPOCH 53 done: loss 0.6076 - lr 0.1000 -2019-06-26 15:34:24,267 TEST : loss 2.2399730682373047 - score 0.9641 -2019-06-26 15:34:24,268 BAD EPOCHS (no improvement): 1 -2019-06-26 15:34:24,268 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:34:24,425 epoch 54 - iter 0/280 - loss 0.25906312 -2019-06-26 15:34:29,320 epoch 54 - iter 28/280 - loss 0.55441666 -2019-06-26 15:34:33,927 epoch 54 - iter 56/280 - loss 0.52467504 -2019-06-26 15:34:38,285 epoch 54 - iter 84/280 - loss 0.54160232 -2019-06-26 15:34:42,641 epoch 54 - iter 112/280 - loss 0.52370444 -2019-06-26 15:34:46,992 epoch 54 - iter 140/280 - loss 0.53398787 -2019-06-26 15:34:51,438 epoch 54 - iter 168/280 - loss 0.53672256 -2019-06-26 15:34:55,928 epoch 54 - iter 196/280 - loss 0.54992519 -2019-06-26 15:35:00,566 epoch 54 - iter 224/280 - loss 0.54275489 -2019-06-26 15:35:05,100 epoch 54 - iter 252/280 - loss 0.55018426 -2019-06-26 15:35:09,394 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:35:09,394 EPOCH 54 done: loss 0.5491 - lr 0.1000 -2019-06-26 15:36:01,487 TEST : loss 2.236833333969116 - score 0.9653 -2019-06-26 15:36:01,487 BAD EPOCHS (no improvement): 0 -2019-06-26 15:36:01,487 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:36:01,625 epoch 55 - iter 0/280 - loss 0.33035636 -2019-06-26 15:36:06,416 epoch 55 - iter 28/280 - loss 0.49448178 -2019-06-26 15:36:10,925 epoch 55 - iter 56/280 - loss 0.53081141 -2019-06-26 15:36:15,417 epoch 55 - iter 84/280 - loss 0.54710745 -2019-06-26 15:36:20,173 epoch 55 - iter 112/280 - loss 0.54691443 -2019-06-26 15:36:24,768 epoch 55 - iter 140/280 - loss 0.55800207 -2019-06-26 15:36:29,210 epoch 55 - iter 168/280 - loss 0.56954178 -2019-06-26 15:36:33,807 epoch 55 - iter 196/280 - loss 0.55927703 -2019-06-26 15:36:38,364 epoch 55 - iter 224/280 - loss 0.58726656 -2019-06-26 15:36:43,035 epoch 55 - iter 252/280 - loss 0.58347545 -2019-06-26 15:36:47,243 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:36:47,244 EPOCH 55 done: loss 0.5825 - lr 0.1000 -2019-06-26 15:37:39,470 TEST : loss 2.2208006381988525 - score 0.9636 -2019-06-26 15:37:39,471 BAD EPOCHS (no improvement): 1 -2019-06-26 15:37:39,471 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:37:39,627 epoch 56 - iter 0/280 - loss 0.93213403 -2019-06-26 15:37:44,344 epoch 56 - iter 28/280 - loss 0.58548471 -2019-06-26 15:37:48,790 epoch 56 - iter 56/280 - loss 0.60892706 -2019-06-26 15:37:53,260 epoch 56 - iter 84/280 - loss 0.62690169 -2019-06-26 15:37:57,761 epoch 56 - iter 112/280 - loss 0.64179611 -2019-06-26 15:38:02,365 epoch 56 - iter 140/280 - loss 0.60069184 -2019-06-26 15:38:06,968 epoch 56 - iter 168/280 - loss 0.58542622 -2019-06-26 15:38:11,595 epoch 56 - iter 196/280 - loss 0.58041449 -2019-06-26 15:38:16,120 epoch 56 - iter 224/280 - loss 0.57280773 -2019-06-26 15:38:20,770 epoch 56 - iter 252/280 - loss 0.57255549 -2019-06-26 15:38:25,188 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:38:25,189 EPOCH 56 done: loss 0.5880 - lr 0.1000 -2019-06-26 15:39:17,327 TEST : loss 2.2467262744903564 - score 0.9652 -2019-06-26 15:39:17,327 BAD EPOCHS (no improvement): 2 -2019-06-26 15:39:17,327 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:39:17,483 epoch 57 - iter 0/280 - loss 0.38130915 -2019-06-26 15:39:22,151 epoch 57 - iter 28/280 - loss 0.54438372 -2019-06-26 15:39:26,874 epoch 57 - iter 56/280 - loss 0.55408988 -2019-06-26 15:39:31,390 epoch 57 - iter 84/280 - loss 0.53911668 -2019-06-26 15:39:35,855 epoch 57 - iter 112/280 - loss 0.54754642 -2019-06-26 15:39:40,395 epoch 57 - iter 140/280 - loss 0.56570553 -2019-06-26 15:39:44,880 epoch 57 - iter 168/280 - loss 0.56195311 -2019-06-26 15:39:49,314 epoch 57 - iter 196/280 - loss 0.55759565 -2019-06-26 15:39:53,861 epoch 57 - iter 224/280 - loss 0.56211289 -2019-06-26 15:39:58,368 epoch 57 - iter 252/280 - loss 0.56814932 -2019-06-26 15:40:02,552 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:40:02,553 EPOCH 57 done: loss 0.5554 - lr 0.1000 -2019-06-26 15:40:53,764 TEST : loss 2.3461368083953857 - score 0.9626 -2019-06-26 15:40:53,765 BAD EPOCHS (no improvement): 3 -2019-06-26 15:40:53,765 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:40:53,939 epoch 58 - iter 0/280 - loss 0.46543121 -2019-06-26 15:40:58,785 epoch 58 - iter 28/280 - loss 0.44295386 -2019-06-26 15:41:03,351 epoch 58 - iter 56/280 - loss 0.48117282 -2019-06-26 15:41:07,780 epoch 58 - iter 84/280 - loss 0.50215794 -2019-06-26 15:41:12,332 epoch 58 - iter 112/280 - loss 0.53773143 -2019-06-26 15:41:16,940 epoch 58 - iter 140/280 - loss 0.55184828 -2019-06-26 15:41:21,426 epoch 58 - iter 168/280 - loss 0.53938907 -2019-06-26 15:41:25,923 epoch 58 - iter 196/280 - loss 0.54726843 -2019-06-26 15:41:30,581 epoch 58 - iter 224/280 - loss 0.55067490 -2019-06-26 15:41:35,212 epoch 58 - iter 252/280 - loss 0.54065709 -2019-06-26 15:41:39,687 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:41:39,688 EPOCH 58 done: loss 0.5379 - lr 0.1000 -2019-06-26 15:42:31,911 TEST : loss 2.3112897872924805 - score 0.9643 -2019-06-26 15:42:31,912 BAD EPOCHS (no improvement): 0 -2019-06-26 15:42:31,912 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:42:32,071 epoch 59 - iter 0/280 - loss 0.75581133 -2019-06-26 15:42:36,668 epoch 59 - iter 28/280 - loss 0.51796952 -2019-06-26 15:42:41,472 epoch 59 - iter 56/280 - loss 0.61057130 -2019-06-26 15:42:46,161 epoch 59 - iter 84/280 - loss 0.63697037 -2019-06-26 15:42:50,697 epoch 59 - iter 112/280 - loss 0.62772584 -2019-06-26 15:42:55,131 epoch 59 - iter 140/280 - loss 0.61634166 -2019-06-26 15:42:59,758 epoch 59 - iter 168/280 - loss 0.62259968 -2019-06-26 15:43:04,452 epoch 59 - iter 196/280 - loss 0.60124746 -2019-06-26 15:43:09,064 epoch 59 - iter 224/280 - loss 0.59393085 -2019-06-26 15:43:13,657 epoch 59 - iter 252/280 - loss 0.57899337 -2019-06-26 15:43:17,928 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:43:17,928 EPOCH 59 done: loss 0.5741 - lr 0.1000 -2019-06-26 15:44:10,034 TEST : loss 2.267637252807617 - score 0.9641 -2019-06-26 15:44:10,034 BAD EPOCHS (no improvement): 1 -2019-06-26 15:44:10,035 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:44:10,197 epoch 60 - iter 0/280 - loss 0.41716504 -2019-06-26 15:44:14,839 epoch 60 - iter 28/280 - loss 0.45012234 -2019-06-26 15:44:19,549 epoch 60 - iter 56/280 - loss 0.45376004 -2019-06-26 15:44:24,120 epoch 60 - iter 84/280 - loss 0.47237294 -2019-06-26 15:44:28,640 epoch 60 - iter 112/280 - loss 0.49367552 -2019-06-26 15:44:33,059 epoch 60 - iter 140/280 - loss 0.49322465 -2019-06-26 15:44:37,587 epoch 60 - iter 168/280 - loss 0.50677522 -2019-06-26 15:44:42,194 epoch 60 - iter 196/280 - loss 0.49935760 -2019-06-26 15:44:46,658 epoch 60 - iter 224/280 - loss 0.50513309 -2019-06-26 15:44:51,166 epoch 60 - iter 252/280 - loss 0.51246423 -2019-06-26 15:44:55,409 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:44:55,410 EPOCH 60 done: loss 0.5220 - lr 0.1000 -2019-06-26 15:45:47,581 TEST : loss 2.2918825149536133 - score 0.9648 -2019-06-26 15:45:47,581 BAD EPOCHS (no improvement): 0 -2019-06-26 15:45:47,582 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:45:47,749 epoch 61 - iter 0/280 - loss 0.41935444 -2019-06-26 15:45:52,490 epoch 61 - iter 28/280 - loss 0.63174987 -2019-06-26 15:45:57,085 epoch 61 - iter 56/280 - loss 0.55251173 -2019-06-26 15:46:01,642 epoch 61 - iter 84/280 - loss 0.52239321 -2019-06-26 15:46:06,249 epoch 61 - iter 112/280 - loss 0.55342299 -2019-06-26 15:46:10,861 epoch 61 - iter 140/280 - loss 0.52359533 -2019-06-26 15:46:15,558 epoch 61 - iter 168/280 - loss 0.52673235 -2019-06-26 15:46:19,996 epoch 61 - iter 196/280 - loss 0.54676583 -2019-06-26 15:46:24,605 epoch 61 - iter 224/280 - loss 0.53935586 -2019-06-26 15:46:29,250 epoch 61 - iter 252/280 - loss 0.54822394 -2019-06-26 15:46:33,477 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:46:33,478 EPOCH 61 done: loss 0.5474 - lr 0.1000 -2019-06-26 15:47:25,844 TEST : loss 2.2889907360076904 - score 0.9631 -2019-06-26 15:47:25,844 BAD EPOCHS (no improvement): 1 -2019-06-26 15:47:25,845 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:47:26,000 epoch 62 - iter 0/280 - loss 0.69879782 -2019-06-26 15:47:30,713 epoch 62 - iter 28/280 - loss 0.49418231 -2019-06-26 15:47:35,094 epoch 62 - iter 56/280 - loss 0.53576088 -2019-06-26 15:47:39,581 epoch 62 - iter 84/280 - loss 0.54049864 -2019-06-26 15:47:44,098 epoch 62 - iter 112/280 - loss 0.52288273 -2019-06-26 15:47:48,633 epoch 62 - iter 140/280 - loss 0.52215412 -2019-06-26 15:47:53,091 epoch 62 - iter 168/280 - loss 0.52892474 -2019-06-26 15:47:57,751 epoch 62 - iter 196/280 - loss 0.53199328 -2019-06-26 15:48:02,213 epoch 62 - iter 224/280 - loss 0.54204730 -2019-06-26 15:48:06,689 epoch 62 - iter 252/280 - loss 0.54127430 -2019-06-26 15:48:11,042 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:48:11,043 EPOCH 62 done: loss 0.5401 - lr 0.1000 -2019-06-26 15:49:03,149 TEST : loss 2.315368175506592 - score 0.9637 -2019-06-26 15:49:03,150 BAD EPOCHS (no improvement): 2 -2019-06-26 15:49:03,150 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:49:03,336 epoch 63 - iter 0/280 - loss 0.19132757 -2019-06-26 15:49:08,120 epoch 63 - iter 28/280 - loss 0.53927949 -2019-06-26 15:49:12,648 epoch 63 - iter 56/280 - loss 0.57759412 -2019-06-26 15:49:17,095 epoch 63 - iter 84/280 - loss 0.56214218 -2019-06-26 15:49:21,603 epoch 63 - iter 112/280 - loss 0.54277810 -2019-06-26 15:49:26,290 epoch 63 - iter 140/280 - loss 0.54636408 -2019-06-26 15:49:31,107 epoch 63 - iter 168/280 - loss 0.52976469 -2019-06-26 15:49:35,652 epoch 63 - iter 196/280 - loss 0.52037280 -2019-06-26 15:49:40,250 epoch 63 - iter 224/280 - loss 0.51501175 -2019-06-26 15:49:44,658 epoch 63 - iter 252/280 - loss 0.52224563 -2019-06-26 15:49:49,047 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:49:49,047 EPOCH 63 done: loss 0.5198 - lr 0.1000 -2019-06-26 15:50:41,441 TEST : loss 2.3462905883789062 - score 0.9639 -2019-06-26 15:50:41,441 BAD EPOCHS (no improvement): 0 -2019-06-26 15:50:41,453 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:50:41,626 epoch 64 - iter 0/280 - loss 0.84705830 -2019-06-26 15:50:46,374 epoch 64 - iter 28/280 - loss 0.50887894 -2019-06-26 15:50:50,947 epoch 64 - iter 56/280 - loss 0.51712497 -2019-06-26 15:50:55,554 epoch 64 - iter 84/280 - loss 0.48586736 -2019-06-26 15:51:00,344 epoch 64 - iter 112/280 - loss 0.51027014 -2019-06-26 15:51:04,896 epoch 64 - iter 140/280 - loss 0.49843830 -2019-06-26 15:51:09,422 epoch 64 - iter 168/280 - loss 0.49553540 -2019-06-26 15:51:13,972 epoch 64 - iter 196/280 - loss 0.48699119 -2019-06-26 15:51:18,510 epoch 64 - iter 224/280 - loss 0.49319467 -2019-06-26 15:51:22,955 epoch 64 - iter 252/280 - loss 0.49440280 -2019-06-26 15:51:27,344 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:51:27,344 EPOCH 64 done: loss 0.4949 - lr 0.1000 -2019-06-26 15:52:19,684 TEST : loss 2.4097986221313477 - score 0.9631 -2019-06-26 15:52:19,685 BAD EPOCHS (no improvement): 0 -2019-06-26 15:52:19,685 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:52:19,853 epoch 65 - iter 0/280 - loss 0.39319873 -2019-06-26 15:52:24,549 epoch 65 - iter 28/280 - loss 0.44903984 -2019-06-26 15:52:29,031 epoch 65 - iter 56/280 - loss 0.50265232 -2019-06-26 15:52:33,568 epoch 65 - iter 84/280 - loss 0.48962254 -2019-06-26 15:52:38,063 epoch 65 - iter 112/280 - loss 0.48961046 -2019-06-26 15:52:42,578 epoch 65 - iter 140/280 - loss 0.48744128 -2019-06-26 15:52:47,043 epoch 65 - iter 168/280 - loss 0.49312809 -2019-06-26 15:52:51,576 epoch 65 - iter 196/280 - loss 0.48814589 -2019-06-26 15:52:56,299 epoch 65 - iter 224/280 - loss 0.50022313 -2019-06-26 15:53:00,884 epoch 65 - iter 252/280 - loss 0.51760972 -2019-06-26 15:53:05,334 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:53:05,335 EPOCH 65 done: loss 0.5277 - lr 0.1000 -2019-06-26 15:53:57,627 TEST : loss 2.360485315322876 - score 0.9637 -2019-06-26 15:53:57,627 BAD EPOCHS (no improvement): 1 -2019-06-26 15:53:57,628 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:53:57,789 epoch 66 - iter 0/280 - loss 1.31414604 -2019-06-26 15:54:02,453 epoch 66 - iter 28/280 - loss 0.52988980 -2019-06-26 15:54:07,032 epoch 66 - iter 56/280 - loss 0.55149641 -2019-06-26 15:54:11,529 epoch 66 - iter 84/280 - loss 0.50036641 -2019-06-26 15:54:16,022 epoch 66 - iter 112/280 - loss 0.49523666 -2019-06-26 15:54:20,516 epoch 66 - iter 140/280 - loss 0.48633519 -2019-06-26 15:54:25,009 epoch 66 - iter 168/280 - loss 0.49088372 -2019-06-26 15:54:29,574 epoch 66 - iter 196/280 - loss 0.49679882 -2019-06-26 15:54:34,075 epoch 66 - iter 224/280 - loss 0.52449379 -2019-06-26 15:54:38,729 epoch 66 - iter 252/280 - loss 0.53858636 -2019-06-26 15:54:43,161 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:54:43,161 EPOCH 66 done: loss 0.5368 - lr 0.1000 -2019-06-26 15:55:34,469 TEST : loss 2.375206232070923 - score 0.9646 -2019-06-26 15:55:34,469 BAD EPOCHS (no improvement): 2 -2019-06-26 15:55:34,470 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:55:34,658 epoch 67 - iter 0/280 - loss 0.16527033 -2019-06-26 15:55:39,354 epoch 67 - iter 28/280 - loss 0.51169202 -2019-06-26 15:55:44,030 epoch 67 - iter 56/280 - loss 0.57870253 -2019-06-26 15:55:48,717 epoch 67 - iter 84/280 - loss 0.54410485 -2019-06-26 15:55:53,240 epoch 67 - iter 112/280 - loss 0.53855886 -2019-06-26 15:55:57,817 epoch 67 - iter 140/280 - loss 0.51945754 -2019-06-26 15:56:02,329 epoch 67 - iter 168/280 - loss 0.53412532 -2019-06-26 15:56:06,923 epoch 67 - iter 196/280 - loss 0.54017311 -2019-06-26 15:56:11,432 epoch 67 - iter 224/280 - loss 0.54700715 -2019-06-26 15:56:16,069 epoch 67 - iter 252/280 - loss 0.54353067 -2019-06-26 15:56:20,370 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:56:20,371 EPOCH 67 done: loss 0.5409 - lr 0.1000 -2019-06-26 15:57:12,463 TEST : loss 2.4030628204345703 - score 0.9635 -2019-06-26 15:57:12,463 BAD EPOCHS (no improvement): 3 -2019-06-26 15:57:12,464 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:57:12,623 epoch 68 - iter 0/280 - loss 0.19013500 -2019-06-26 15:57:17,496 epoch 68 - iter 28/280 - loss 0.57588456 -2019-06-26 15:57:22,177 epoch 68 - iter 56/280 - loss 0.50489732 -2019-06-26 15:57:26,700 epoch 68 - iter 84/280 - loss 0.49558262 -2019-06-26 15:57:31,180 epoch 68 - iter 112/280 - loss 0.46860065 -2019-06-26 15:57:35,886 epoch 68 - iter 140/280 - loss 0.46856963 -2019-06-26 15:57:40,457 epoch 68 - iter 168/280 - loss 0.48065871 -2019-06-26 15:57:45,048 epoch 68 - iter 196/280 - loss 0.50795139 -2019-06-26 15:57:49,777 epoch 68 - iter 224/280 - loss 0.50375488 -2019-06-26 15:57:54,102 epoch 68 - iter 252/280 - loss 0.49653303 -2019-06-26 15:57:58,429 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:57:58,429 EPOCH 68 done: loss 0.4889 - lr 0.1000 -2019-06-26 15:58:50,568 TEST : loss 2.3746907711029053 - score 0.9631 -2019-06-26 15:58:50,568 BAD EPOCHS (no improvement): 0 -2019-06-26 15:58:50,569 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:58:50,732 epoch 69 - iter 0/280 - loss 0.52664185 -2019-06-26 15:58:55,430 epoch 69 - iter 28/280 - loss 0.42830622 -2019-06-26 15:58:59,872 epoch 69 - iter 56/280 - loss 0.42359848 -2019-06-26 15:59:04,403 epoch 69 - iter 84/280 - loss 0.47144100 -2019-06-26 15:59:09,149 epoch 69 - iter 112/280 - loss 0.47440038 -2019-06-26 15:59:13,793 epoch 69 - iter 140/280 - loss 0.47190410 -2019-06-26 15:59:18,493 epoch 69 - iter 168/280 - loss 0.47927446 -2019-06-26 15:59:23,027 epoch 69 - iter 196/280 - loss 0.48380180 -2019-06-26 15:59:27,500 epoch 69 - iter 224/280 - loss 0.48349679 -2019-06-26 15:59:31,939 epoch 69 - iter 252/280 - loss 0.48855117 -2019-06-26 15:59:36,118 ---------------------------------------------------------------------------------------------------- -2019-06-26 15:59:36,119 EPOCH 69 done: loss 0.4882 - lr 0.1000 -2019-06-26 16:00:28,216 TEST : loss 2.3438057899475098 - score 0.9646 -2019-06-26 16:00:28,216 BAD EPOCHS (no improvement): 0 -2019-06-26 16:00:28,249 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:00:28,448 epoch 70 - iter 0/280 - loss 0.67742407 -2019-06-26 16:00:33,267 epoch 70 - iter 28/280 - loss 0.49003750 -2019-06-26 16:00:37,825 epoch 70 - iter 56/280 - loss 0.44414330 -2019-06-26 16:00:42,343 epoch 70 - iter 84/280 - loss 0.43517031 -2019-06-26 16:00:46,978 epoch 70 - iter 112/280 - loss 0.45785648 -2019-06-26 16:00:51,589 epoch 70 - iter 140/280 - loss 0.45054423 -2019-06-26 16:00:56,144 epoch 70 - iter 168/280 - loss 0.46172253 -2019-06-26 16:01:00,690 epoch 70 - iter 196/280 - loss 0.46429819 -2019-06-26 16:01:05,170 epoch 70 - iter 224/280 - loss 0.46274044 -2019-06-26 16:01:09,699 epoch 70 - iter 252/280 - loss 0.47126673 -2019-06-26 16:01:14,048 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:01:14,048 EPOCH 70 done: loss 0.4736 - lr 0.1000 -2019-06-26 16:02:06,346 TEST : loss 2.3928401470184326 - score 0.9642 -2019-06-26 16:02:06,347 BAD EPOCHS (no improvement): 0 -2019-06-26 16:02:06,348 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:02:06,523 epoch 71 - iter 0/280 - loss 0.28862309 -2019-06-26 16:02:11,239 epoch 71 - iter 28/280 - loss 0.47795849 -2019-06-26 16:02:15,736 epoch 71 - iter 56/280 - loss 0.48072835 -2019-06-26 16:02:20,169 epoch 71 - iter 84/280 - loss 0.47392511 -2019-06-26 16:02:24,581 epoch 71 - iter 112/280 - loss 0.48428707 -2019-06-26 16:02:29,165 epoch 71 - iter 140/280 - loss 0.47349779 -2019-06-26 16:02:33,838 epoch 71 - iter 168/280 - loss 0.47598853 -2019-06-26 16:02:38,347 epoch 71 - iter 196/280 - loss 0.48238927 -2019-06-26 16:02:42,713 epoch 71 - iter 224/280 - loss 0.48826368 -2019-06-26 16:02:47,085 epoch 71 - iter 252/280 - loss 0.48405938 -2019-06-26 16:02:51,362 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:02:51,362 EPOCH 71 done: loss 0.4914 - lr 0.1000 -2019-06-26 16:03:43,449 TEST : loss 2.411346435546875 - score 0.9644 -2019-06-26 16:03:43,449 BAD EPOCHS (no improvement): 1 -2019-06-26 16:03:43,459 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:03:43,624 epoch 72 - iter 0/280 - loss 0.22144800 -2019-06-26 16:03:48,372 epoch 72 - iter 28/280 - loss 0.45081928 -2019-06-26 16:03:52,970 epoch 72 - iter 56/280 - loss 0.49273392 -2019-06-26 16:03:57,713 epoch 72 - iter 84/280 - loss 0.45727332 -2019-06-26 16:04:02,364 epoch 72 - iter 112/280 - loss 0.48553691 -2019-06-26 16:04:07,166 epoch 72 - iter 140/280 - loss 0.46827706 -2019-06-26 16:04:11,886 epoch 72 - iter 168/280 - loss 0.48837447 -2019-06-26 16:04:16,689 epoch 72 - iter 196/280 - loss 0.48249930 -2019-06-26 16:04:21,364 epoch 72 - iter 224/280 - loss 0.48602957 -2019-06-26 16:04:25,931 epoch 72 - iter 252/280 - loss 0.48384399 -2019-06-26 16:04:30,157 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:04:30,157 EPOCH 72 done: loss 0.4785 - lr 0.1000 -2019-06-26 16:05:22,294 TEST : loss 2.4729483127593994 - score 0.9636 -2019-06-26 16:05:22,294 BAD EPOCHS (no improvement): 2 -2019-06-26 16:05:22,295 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:05:22,461 epoch 73 - iter 0/280 - loss 0.21619928 -2019-06-26 16:05:27,287 epoch 73 - iter 28/280 - loss 0.46544738 -2019-06-26 16:05:31,913 epoch 73 - iter 56/280 - loss 0.49402166 -2019-06-26 16:05:36,562 epoch 73 - iter 84/280 - loss 0.48416308 -2019-06-26 16:05:41,092 epoch 73 - iter 112/280 - loss 0.50483600 -2019-06-26 16:05:45,562 epoch 73 - iter 140/280 - loss 0.49287172 -2019-06-26 16:05:50,076 epoch 73 - iter 168/280 - loss 0.50019895 -2019-06-26 16:05:54,779 epoch 73 - iter 196/280 - loss 0.50500423 -2019-06-26 16:05:59,429 epoch 73 - iter 224/280 - loss 0.50315192 -2019-06-26 16:06:03,889 epoch 73 - iter 252/280 - loss 0.49440897 -2019-06-26 16:06:08,075 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:06:08,075 EPOCH 73 done: loss 0.4966 - lr 0.1000 -2019-06-26 16:07:00,213 TEST : loss 2.3827433586120605 - score 0.964 -2019-06-26 16:07:00,213 BAD EPOCHS (no improvement): 3 -2019-06-26 16:07:00,214 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:07:00,371 epoch 74 - iter 0/280 - loss 0.13338804 -2019-06-26 16:07:04,932 epoch 74 - iter 28/280 - loss 0.50198091 -2019-06-26 16:07:09,549 epoch 74 - iter 56/280 - loss 0.46650009 -2019-06-26 16:07:14,084 epoch 74 - iter 84/280 - loss 0.42447358 -2019-06-26 16:07:18,563 epoch 74 - iter 112/280 - loss 0.43517666 -2019-06-26 16:07:23,224 epoch 74 - iter 140/280 - loss 0.43786713 -2019-06-26 16:07:27,648 epoch 74 - iter 168/280 - loss 0.44371603 -2019-06-26 16:07:32,148 epoch 74 - iter 196/280 - loss 0.44249399 -2019-06-26 16:07:36,696 epoch 74 - iter 224/280 - loss 0.44304016 -2019-06-26 16:07:41,163 epoch 74 - iter 252/280 - loss 0.46751792 -2019-06-26 16:07:45,437 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:07:45,437 EPOCH 74 done: loss 0.4690 - lr 0.1000 -2019-06-26 16:08:36,623 TEST : loss 2.4027438163757324 - score 0.9647 -2019-06-26 16:08:36,623 BAD EPOCHS (no improvement): 0 -2019-06-26 16:08:36,624 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:08:36,798 epoch 75 - iter 0/280 - loss 0.14953375 -2019-06-26 16:08:41,516 epoch 75 - iter 28/280 - loss 0.29879578 -2019-06-26 16:08:46,016 epoch 75 - iter 56/280 - loss 0.37509740 -2019-06-26 16:08:50,679 epoch 75 - iter 84/280 - loss 0.40061012 -2019-06-26 16:08:55,155 epoch 75 - iter 112/280 - loss 0.41686363 -2019-06-26 16:08:59,687 epoch 75 - iter 140/280 - loss 0.44120552 -2019-06-26 16:09:04,215 epoch 75 - iter 168/280 - loss 0.42801833 -2019-06-26 16:09:08,676 epoch 75 - iter 196/280 - loss 0.42540480 -2019-06-26 16:09:13,109 epoch 75 - iter 224/280 - loss 0.42700197 -2019-06-26 16:09:17,816 epoch 75 - iter 252/280 - loss 0.43363364 -2019-06-26 16:09:22,034 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:09:22,034 EPOCH 75 done: loss 0.4431 - lr 0.1000 -2019-06-26 16:10:14,139 TEST : loss 2.4366214275360107 - score 0.9645 -2019-06-26 16:10:14,139 BAD EPOCHS (no improvement): 0 -2019-06-26 16:10:14,140 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:10:14,337 epoch 76 - iter 0/280 - loss 0.79180837 -2019-06-26 16:10:19,032 epoch 76 - iter 28/280 - loss 0.60888919 -2019-06-26 16:10:23,503 epoch 76 - iter 56/280 - loss 0.59426975 -2019-06-26 16:10:28,019 epoch 76 - iter 84/280 - loss 0.50425044 -2019-06-26 16:10:32,612 epoch 76 - iter 112/280 - loss 0.49336546 -2019-06-26 16:10:37,049 epoch 76 - iter 140/280 - loss 0.48318032 -2019-06-26 16:10:41,552 epoch 76 - iter 168/280 - loss 0.49888597 -2019-06-26 16:10:45,890 epoch 76 - iter 196/280 - loss 0.49652455 -2019-06-26 16:10:50,362 epoch 76 - iter 224/280 - loss 0.49989147 -2019-06-26 16:10:54,912 epoch 76 - iter 252/280 - loss 0.49164041 -2019-06-26 16:10:59,352 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:10:59,352 EPOCH 76 done: loss 0.4850 - lr 0.1000 -2019-06-26 16:11:51,466 TEST : loss 2.4495489597320557 - score 0.9635 -2019-06-26 16:11:51,467 BAD EPOCHS (no improvement): 1 -2019-06-26 16:11:51,474 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:11:51,644 epoch 77 - iter 0/280 - loss 0.61322188 -2019-06-26 16:11:56,374 epoch 77 - iter 28/280 - loss 0.42967900 -2019-06-26 16:12:00,720 epoch 77 - iter 56/280 - loss 0.44275303 -2019-06-26 16:12:05,301 epoch 77 - iter 84/280 - loss 0.42848700 -2019-06-26 16:12:09,907 epoch 77 - iter 112/280 - loss 0.43011275 -2019-06-26 16:12:14,390 epoch 77 - iter 140/280 - loss 0.43357965 -2019-06-26 16:12:19,026 epoch 77 - iter 168/280 - loss 0.42084060 -2019-06-26 16:12:23,613 epoch 77 - iter 196/280 - loss 0.43314356 -2019-06-26 16:12:28,018 epoch 77 - iter 224/280 - loss 0.43995712 -2019-06-26 16:12:32,571 epoch 77 - iter 252/280 - loss 0.43709396 -2019-06-26 16:12:36,835 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:12:36,835 EPOCH 77 done: loss 0.4384 - lr 0.1000 -2019-06-26 16:13:28,857 TEST : loss 2.4727489948272705 - score 0.9635 -2019-06-26 16:13:28,857 BAD EPOCHS (no improvement): 0 -2019-06-26 16:13:28,858 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:13:29,031 epoch 78 - iter 0/280 - loss 0.31180191 -2019-06-26 16:13:33,833 epoch 78 - iter 28/280 - loss 0.43029741 -2019-06-26 16:13:38,515 epoch 78 - iter 56/280 - loss 0.42152888 -2019-06-26 16:13:43,091 epoch 78 - iter 84/280 - loss 0.42608245 -2019-06-26 16:13:47,563 epoch 78 - iter 112/280 - loss 0.42297259 -2019-06-26 16:13:52,143 epoch 78 - iter 140/280 - loss 0.43731976 -2019-06-26 16:13:56,535 epoch 78 - iter 168/280 - loss 0.43259515 -2019-06-26 16:14:01,088 epoch 78 - iter 196/280 - loss 0.42668717 -2019-06-26 16:14:05,670 epoch 78 - iter 224/280 - loss 0.42752158 -2019-06-26 16:14:10,058 epoch 78 - iter 252/280 - loss 0.42320953 -2019-06-26 16:14:14,387 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:14:14,387 EPOCH 78 done: loss 0.4280 - lr 0.1000 -2019-06-26 16:15:06,547 TEST : loss 2.468564748764038 - score 0.9634 -2019-06-26 16:15:06,547 BAD EPOCHS (no improvement): 0 -2019-06-26 16:15:06,548 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:15:06,722 epoch 79 - iter 0/280 - loss 0.24819016 -2019-06-26 16:15:11,473 epoch 79 - iter 28/280 - loss 0.35428476 -2019-06-26 16:15:16,088 epoch 79 - iter 56/280 - loss 0.43647312 -2019-06-26 16:15:20,819 epoch 79 - iter 84/280 - loss 0.43411709 -2019-06-26 16:15:25,381 epoch 79 - iter 112/280 - loss 0.43579015 -2019-06-26 16:15:30,018 epoch 79 - iter 140/280 - loss 0.43681183 -2019-06-26 16:15:34,363 epoch 79 - iter 168/280 - loss 0.43708530 -2019-06-26 16:15:38,894 epoch 79 - iter 196/280 - loss 0.44115673 -2019-06-26 16:15:43,290 epoch 79 - iter 224/280 - loss 0.44024634 -2019-06-26 16:15:47,846 epoch 79 - iter 252/280 - loss 0.43438065 -2019-06-26 16:15:52,183 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:15:52,183 EPOCH 79 done: loss 0.4289 - lr 0.1000 -2019-06-26 16:16:44,291 TEST : loss 2.447589874267578 - score 0.9638 -2019-06-26 16:16:44,291 BAD EPOCHS (no improvement): 1 -2019-06-26 16:16:44,292 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:16:44,432 epoch 80 - iter 0/280 - loss 0.25176549 -2019-06-26 16:16:49,149 epoch 80 - iter 28/280 - loss 0.48832286 -2019-06-26 16:16:53,812 epoch 80 - iter 56/280 - loss 0.44356336 -2019-06-26 16:16:58,445 epoch 80 - iter 84/280 - loss 0.42314530 -2019-06-26 16:17:03,018 epoch 80 - iter 112/280 - loss 0.41386045 -2019-06-26 16:17:07,607 epoch 80 - iter 140/280 - loss 0.41731294 -2019-06-26 16:17:12,172 epoch 80 - iter 168/280 - loss 0.42770137 -2019-06-26 16:17:16,621 epoch 80 - iter 196/280 - loss 0.42567382 -2019-06-26 16:17:21,189 epoch 80 - iter 224/280 - loss 0.44011445 -2019-06-26 16:17:25,758 epoch 80 - iter 252/280 - loss 0.42763781 -2019-06-26 16:17:30,177 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:17:30,177 EPOCH 80 done: loss 0.4302 - lr 0.1000 -2019-06-26 16:18:22,337 TEST : loss 2.4537322521209717 - score 0.9643 -2019-06-26 16:18:22,337 BAD EPOCHS (no improvement): 2 -2019-06-26 16:18:22,338 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:18:22,500 epoch 81 - iter 0/280 - loss 0.23340178 -2019-06-26 16:18:27,161 epoch 81 - iter 28/280 - loss 0.43330022 -2019-06-26 16:18:31,625 epoch 81 - iter 56/280 - loss 0.46334823 -2019-06-26 16:18:36,070 epoch 81 - iter 84/280 - loss 0.43049762 -2019-06-26 16:18:40,725 epoch 81 - iter 112/280 - loss 0.42737968 -2019-06-26 16:18:45,258 epoch 81 - iter 140/280 - loss 0.42812396 -2019-06-26 16:18:49,887 epoch 81 - iter 168/280 - loss 0.46136114 -2019-06-26 16:18:54,339 epoch 81 - iter 196/280 - loss 0.46906072 -2019-06-26 16:18:59,019 epoch 81 - iter 224/280 - loss 0.46225365 -2019-06-26 16:19:03,768 epoch 81 - iter 252/280 - loss 0.46632620 -2019-06-26 16:19:08,066 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:19:08,067 EPOCH 81 done: loss 0.4629 - lr 0.1000 -2019-06-26 16:20:00,215 TEST : loss 2.588277816772461 - score 0.9628 -2019-06-26 16:20:00,215 BAD EPOCHS (no improvement): 3 -2019-06-26 16:20:00,216 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:20:00,370 epoch 82 - iter 0/280 - loss 0.94457412 -2019-06-26 16:20:05,095 epoch 82 - iter 28/280 - loss 0.54079313 -2019-06-26 16:20:09,767 epoch 82 - iter 56/280 - loss 0.46369058 -2019-06-26 16:20:14,485 epoch 82 - iter 84/280 - loss 0.43358831 -2019-06-26 16:20:18,781 epoch 82 - iter 112/280 - loss 0.42375920 -2019-06-26 16:20:23,299 epoch 82 - iter 140/280 - loss 0.41254348 -2019-06-26 16:20:27,750 epoch 82 - iter 168/280 - loss 0.42116875 -2019-06-26 16:20:32,327 epoch 82 - iter 196/280 - loss 0.41519736 -2019-06-26 16:20:36,855 epoch 82 - iter 224/280 - loss 0.42588823 -2019-06-26 16:20:41,400 epoch 82 - iter 252/280 - loss 0.44045519 -2019-06-26 16:20:45,642 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:20:45,642 EPOCH 82 done: loss 0.4561 - lr 0.1000 -2019-06-26 16:21:37,874 TEST : loss 2.4805197715759277 - score 0.964 -2019-06-26 16:21:37,874 BAD EPOCHS (no improvement): 4 -2019-06-26 16:21:37,882 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:21:38,027 epoch 83 - iter 0/280 - loss 1.68257427 -2019-06-26 16:21:42,637 epoch 83 - iter 28/280 - loss 0.47202437 -2019-06-26 16:21:47,121 epoch 83 - iter 56/280 - loss 0.47042883 -2019-06-26 16:21:51,568 epoch 83 - iter 84/280 - loss 0.46274753 -2019-06-26 16:21:56,094 epoch 83 - iter 112/280 - loss 0.45376838 -2019-06-26 16:22:00,546 epoch 83 - iter 140/280 - loss 0.42964543 -2019-06-26 16:22:04,916 epoch 83 - iter 168/280 - loss 0.40921423 -2019-06-26 16:22:09,468 epoch 83 - iter 196/280 - loss 0.40854609 -2019-06-26 16:22:14,053 epoch 83 - iter 224/280 - loss 0.41351352 -2019-06-26 16:22:18,692 epoch 83 - iter 252/280 - loss 0.41495998 -2019-06-26 16:22:23,093 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:22:23,093 EPOCH 83 done: loss 0.4050 - lr 0.0500 -2019-06-26 16:23:15,244 TEST : loss 2.4855823516845703 - score 0.9646 -2019-06-26 16:23:15,245 BAD EPOCHS (no improvement): 0 -2019-06-26 16:23:15,245 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:23:15,405 epoch 84 - iter 0/280 - loss 0.66981864 -2019-06-26 16:23:19,983 epoch 84 - iter 28/280 - loss 0.41617447 -2019-06-26 16:23:24,581 epoch 84 - iter 56/280 - loss 0.38615520 -2019-06-26 16:23:28,985 epoch 84 - iter 84/280 - loss 0.40073805 -2019-06-26 16:23:33,412 epoch 84 - iter 112/280 - loss 0.40981189 -2019-06-26 16:23:37,977 epoch 84 - iter 140/280 - loss 0.42740512 -2019-06-26 16:23:42,592 epoch 84 - iter 168/280 - loss 0.40214580 -2019-06-26 16:23:47,234 epoch 84 - iter 196/280 - loss 0.39236416 -2019-06-26 16:23:51,683 epoch 84 - iter 224/280 - loss 0.40084361 -2019-06-26 16:23:56,272 epoch 84 - iter 252/280 - loss 0.39247223 -2019-06-26 16:24:00,468 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:24:00,469 EPOCH 84 done: loss 0.3901 - lr 0.0500 -2019-06-26 16:24:51,748 TEST : loss 2.5098836421966553 - score 0.9638 -2019-06-26 16:24:51,748 BAD EPOCHS (no improvement): 0 -2019-06-26 16:24:51,753 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:24:51,916 epoch 85 - iter 0/280 - loss 0.07017469 -2019-06-26 16:24:56,666 epoch 85 - iter 28/280 - loss 0.31052653 -2019-06-26 16:25:00,925 epoch 85 - iter 56/280 - loss 0.33706356 -2019-06-26 16:25:05,377 epoch 85 - iter 84/280 - loss 0.35232731 -2019-06-26 16:25:09,971 epoch 85 - iter 112/280 - loss 0.37100994 -2019-06-26 16:25:14,428 epoch 85 - iter 140/280 - loss 0.35893267 -2019-06-26 16:25:19,042 epoch 85 - iter 168/280 - loss 0.34964744 -2019-06-26 16:25:23,537 epoch 85 - iter 196/280 - loss 0.37247240 -2019-06-26 16:25:28,118 epoch 85 - iter 224/280 - loss 0.37101585 -2019-06-26 16:25:32,709 epoch 85 - iter 252/280 - loss 0.35913156 -2019-06-26 16:25:37,110 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:25:37,110 EPOCH 85 done: loss 0.3633 - lr 0.0500 -2019-06-26 16:26:29,391 TEST : loss 2.4881045818328857 - score 0.9641 -2019-06-26 16:26:29,392 BAD EPOCHS (no improvement): 0 -2019-06-26 16:26:29,411 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:26:29,567 epoch 86 - iter 0/280 - loss 0.30142152 -2019-06-26 16:26:34,294 epoch 86 - iter 28/280 - loss 0.34911706 -2019-06-26 16:26:38,907 epoch 86 - iter 56/280 - loss 0.35776420 -2019-06-26 16:26:43,291 epoch 86 - iter 84/280 - loss 0.38070264 -2019-06-26 16:26:47,728 epoch 86 - iter 112/280 - loss 0.36676266 -2019-06-26 16:26:52,211 epoch 86 - iter 140/280 - loss 0.35573654 -2019-06-26 16:26:56,882 epoch 86 - iter 168/280 - loss 0.35093018 -2019-06-26 16:27:01,410 epoch 86 - iter 196/280 - loss 0.36816871 -2019-06-26 16:27:05,921 epoch 86 - iter 224/280 - loss 0.37191263 -2019-06-26 16:27:10,333 epoch 86 - iter 252/280 - loss 0.37290725 -2019-06-26 16:27:14,645 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:27:14,645 EPOCH 86 done: loss 0.3705 - lr 0.0500 -2019-06-26 16:28:06,801 TEST : loss 2.4893882274627686 - score 0.9636 -2019-06-26 16:28:06,801 BAD EPOCHS (no improvement): 1 -2019-06-26 16:28:06,814 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:28:06,985 epoch 87 - iter 0/280 - loss 0.09832501 -2019-06-26 16:28:11,632 epoch 87 - iter 28/280 - loss 0.32357223 -2019-06-26 16:28:16,194 epoch 87 - iter 56/280 - loss 0.31696575 -2019-06-26 16:28:20,745 epoch 87 - iter 84/280 - loss 0.32003924 -2019-06-26 16:28:25,411 epoch 87 - iter 112/280 - loss 0.33136042 -2019-06-26 16:28:30,031 epoch 87 - iter 140/280 - loss 0.34348780 -2019-06-26 16:28:34,511 epoch 87 - iter 168/280 - loss 0.33532712 -2019-06-26 16:28:38,965 epoch 87 - iter 196/280 - loss 0.34006242 -2019-06-26 16:28:43,445 epoch 87 - iter 224/280 - loss 0.34591982 -2019-06-26 16:28:47,817 epoch 87 - iter 252/280 - loss 0.34762428 -2019-06-26 16:28:51,999 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:28:51,999 EPOCH 87 done: loss 0.3405 - lr 0.0500 -2019-06-26 16:29:44,025 TEST : loss 2.5344595909118652 - score 0.9647 -2019-06-26 16:29:44,025 BAD EPOCHS (no improvement): 0 -2019-06-26 16:29:44,026 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:29:44,210 epoch 88 - iter 0/280 - loss 1.03271103 -2019-06-26 16:29:48,963 epoch 88 - iter 28/280 - loss 0.47646081 -2019-06-26 16:29:53,453 epoch 88 - iter 56/280 - loss 0.41128171 -2019-06-26 16:29:57,994 epoch 88 - iter 84/280 - loss 0.37286998 -2019-06-26 16:30:02,318 epoch 88 - iter 112/280 - loss 0.37307811 -2019-06-26 16:30:06,857 epoch 88 - iter 140/280 - loss 0.35779061 -2019-06-26 16:30:11,630 epoch 88 - iter 168/280 - loss 0.37152783 -2019-06-26 16:30:16,178 epoch 88 - iter 196/280 - loss 0.37490538 -2019-06-26 16:30:20,890 epoch 88 - iter 224/280 - loss 0.36506559 -2019-06-26 16:30:25,577 epoch 88 - iter 252/280 - loss 0.36658150 -2019-06-26 16:30:29,915 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:30:29,915 EPOCH 88 done: loss 0.3729 - lr 0.0500 -2019-06-26 16:31:22,064 TEST : loss 2.520551919937134 - score 0.9635 -2019-06-26 16:31:22,064 BAD EPOCHS (no improvement): 1 -2019-06-26 16:31:22,088 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:31:22,266 epoch 89 - iter 0/280 - loss 0.23186851 -2019-06-26 16:31:26,977 epoch 89 - iter 28/280 - loss 0.32299372 -2019-06-26 16:31:31,531 epoch 89 - iter 56/280 - loss 0.29182487 -2019-06-26 16:31:36,231 epoch 89 - iter 84/280 - loss 0.33785138 -2019-06-26 16:31:40,789 epoch 89 - iter 112/280 - loss 0.32456102 -2019-06-26 16:31:45,410 epoch 89 - iter 140/280 - loss 0.32115354 -2019-06-26 16:31:49,847 epoch 89 - iter 168/280 - loss 0.32770021 -2019-06-26 16:31:54,373 epoch 89 - iter 196/280 - loss 0.32736919 -2019-06-26 16:31:58,878 epoch 89 - iter 224/280 - loss 0.33665607 -2019-06-26 16:32:03,516 epoch 89 - iter 252/280 - loss 0.32527144 -2019-06-26 16:32:07,791 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:32:07,791 EPOCH 89 done: loss 0.3190 - lr 0.0500 -2019-06-26 16:32:59,926 TEST : loss 2.5297036170959473 - score 0.9649 -2019-06-26 16:32:59,926 BAD EPOCHS (no improvement): 0 -2019-06-26 16:32:59,927 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:33:00,117 epoch 90 - iter 0/280 - loss 0.35437632 -2019-06-26 16:33:04,686 epoch 90 - iter 28/280 - loss 0.43184820 -2019-06-26 16:33:09,228 epoch 90 - iter 56/280 - loss 0.39245144 -2019-06-26 16:33:13,712 epoch 90 - iter 84/280 - loss 0.38502230 -2019-06-26 16:33:18,167 epoch 90 - iter 112/280 - loss 0.35200548 -2019-06-26 16:33:22,737 epoch 90 - iter 140/280 - loss 0.36509489 -2019-06-26 16:33:27,332 epoch 90 - iter 168/280 - loss 0.36618499 -2019-06-26 16:33:31,689 epoch 90 - iter 196/280 - loss 0.36549278 -2019-06-26 16:33:36,092 epoch 90 - iter 224/280 - loss 0.35346478 -2019-06-26 16:33:40,548 epoch 90 - iter 252/280 - loss 0.35910671 -2019-06-26 16:33:44,875 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:33:44,875 EPOCH 90 done: loss 0.3577 - lr 0.0500 -2019-06-26 16:34:37,098 TEST : loss 2.5391902923583984 - score 0.965 -2019-06-26 16:34:37,098 BAD EPOCHS (no improvement): 1 -2019-06-26 16:34:37,099 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:34:37,256 epoch 91 - iter 0/280 - loss 0.94328791 -2019-06-26 16:34:41,940 epoch 91 - iter 28/280 - loss 0.34659181 -2019-06-26 16:34:46,495 epoch 91 - iter 56/280 - loss 0.32656403 -2019-06-26 16:34:51,153 epoch 91 - iter 84/280 - loss 0.34352133 -2019-06-26 16:34:55,727 epoch 91 - iter 112/280 - loss 0.34027302 -2019-06-26 16:35:00,390 epoch 91 - iter 140/280 - loss 0.34156273 -2019-06-26 16:35:04,868 epoch 91 - iter 168/280 - loss 0.35015081 -2019-06-26 16:35:09,451 epoch 91 - iter 196/280 - loss 0.36035439 -2019-06-26 16:35:13,878 epoch 91 - iter 224/280 - loss 0.35369059 -2019-06-26 16:35:18,492 epoch 91 - iter 252/280 - loss 0.34922224 -2019-06-26 16:35:22,927 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:35:22,928 EPOCH 91 done: loss 0.3528 - lr 0.0500 -2019-06-26 16:36:15,071 TEST : loss 2.5569868087768555 - score 0.9647 -2019-06-26 16:36:15,072 BAD EPOCHS (no improvement): 2 -2019-06-26 16:36:15,072 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:36:15,244 epoch 92 - iter 0/280 - loss 0.11862063 -2019-06-26 16:36:19,871 epoch 92 - iter 28/280 - loss 0.31852475 -2019-06-26 16:36:24,580 epoch 92 - iter 56/280 - loss 0.32301929 -2019-06-26 16:36:29,067 epoch 92 - iter 84/280 - loss 0.36033473 -2019-06-26 16:36:33,537 epoch 92 - iter 112/280 - loss 0.35320147 -2019-06-26 16:36:37,948 epoch 92 - iter 140/280 - loss 0.35427273 -2019-06-26 16:36:42,544 epoch 92 - iter 168/280 - loss 0.34674419 -2019-06-26 16:36:47,181 epoch 92 - iter 196/280 - loss 0.34567822 -2019-06-26 16:36:51,710 epoch 92 - iter 224/280 - loss 0.33669790 -2019-06-26 16:36:56,292 epoch 92 - iter 252/280 - loss 0.34382409 -2019-06-26 16:37:00,583 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:37:00,583 EPOCH 92 done: loss 0.3531 - lr 0.0500 -2019-06-26 16:37:52,731 TEST : loss 2.5833585262298584 - score 0.9642 -2019-06-26 16:37:52,731 BAD EPOCHS (no improvement): 3 -2019-06-26 16:37:52,732 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:37:52,895 epoch 93 - iter 0/280 - loss 0.29608870 -2019-06-26 16:37:57,630 epoch 93 - iter 28/280 - loss 0.33133899 -2019-06-26 16:38:02,059 epoch 93 - iter 56/280 - loss 0.29587180 -2019-06-26 16:38:06,581 epoch 93 - iter 84/280 - loss 0.32767991 -2019-06-26 16:38:11,213 epoch 93 - iter 112/280 - loss 0.32639048 -2019-06-26 16:38:15,619 epoch 93 - iter 140/280 - loss 0.32411846 -2019-06-26 16:38:20,294 epoch 93 - iter 168/280 - loss 0.33505746 -2019-06-26 16:38:24,777 epoch 93 - iter 196/280 - loss 0.34690913 -2019-06-26 16:38:29,308 epoch 93 - iter 224/280 - loss 0.34209450 -2019-06-26 16:38:33,690 epoch 93 - iter 252/280 - loss 0.33472382 -2019-06-26 16:38:38,005 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:38:38,005 EPOCH 93 done: loss 0.3329 - lr 0.0500 -2019-06-26 16:39:29,407 TEST : loss 2.6314520835876465 - score 0.9643 -2019-06-26 16:39:29,407 BAD EPOCHS (no improvement): 4 -2019-06-26 16:39:29,408 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:39:29,584 epoch 94 - iter 0/280 - loss 0.60102201 -2019-06-26 16:39:34,288 epoch 94 - iter 28/280 - loss 0.26211849 -2019-06-26 16:39:38,998 epoch 94 - iter 56/280 - loss 0.30739132 -2019-06-26 16:39:43,453 epoch 94 - iter 84/280 - loss 0.30802868 -2019-06-26 16:39:47,933 epoch 94 - iter 112/280 - loss 0.28534668 -2019-06-26 16:39:52,369 epoch 94 - iter 140/280 - loss 0.28651710 -2019-06-26 16:39:56,831 epoch 94 - iter 168/280 - loss 0.28724422 -2019-06-26 16:40:01,460 epoch 94 - iter 196/280 - loss 0.29771003 -2019-06-26 16:40:05,869 epoch 94 - iter 224/280 - loss 0.30051946 -2019-06-26 16:40:10,380 epoch 94 - iter 252/280 - loss 0.30013025 -2019-06-26 16:40:14,615 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:40:14,616 EPOCH 94 done: loss 0.3053 - lr 0.0250 -2019-06-26 16:41:06,713 TEST : loss 2.6301252841949463 - score 0.9645 -2019-06-26 16:41:06,713 BAD EPOCHS (no improvement): 0 -2019-06-26 16:41:06,731 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:41:06,885 epoch 95 - iter 0/280 - loss 0.03643757 -2019-06-26 16:41:11,811 epoch 95 - iter 28/280 - loss 0.33539542 -2019-06-26 16:41:16,359 epoch 95 - iter 56/280 - loss 0.30828248 -2019-06-26 16:41:21,180 epoch 95 - iter 84/280 - loss 0.29647022 -2019-06-26 16:41:25,640 epoch 95 - iter 112/280 - loss 0.28448017 -2019-06-26 16:41:30,055 epoch 95 - iter 140/280 - loss 0.28678667 -2019-06-26 16:41:34,451 epoch 95 - iter 168/280 - loss 0.29708098 -2019-06-26 16:41:39,049 epoch 95 - iter 196/280 - loss 0.28258785 -2019-06-26 16:41:43,566 epoch 95 - iter 224/280 - loss 0.28184812 -2019-06-26 16:41:48,226 epoch 95 - iter 252/280 - loss 0.28420424 -2019-06-26 16:41:52,592 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:41:52,592 EPOCH 95 done: loss 0.2885 - lr 0.0250 -2019-06-26 16:42:44,733 TEST : loss 2.611647844314575 - score 0.9646 -2019-06-26 16:42:44,733 BAD EPOCHS (no improvement): 0 -2019-06-26 16:42:44,735 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:42:44,889 epoch 96 - iter 0/280 - loss 0.06217861 -2019-06-26 16:42:49,751 epoch 96 - iter 28/280 - loss 0.28206790 -2019-06-26 16:42:54,317 epoch 96 - iter 56/280 - loss 0.31024149 -2019-06-26 16:42:59,035 epoch 96 - iter 84/280 - loss 0.29311924 -2019-06-26 16:43:03,418 epoch 96 - iter 112/280 - loss 0.30900278 -2019-06-26 16:43:07,836 epoch 96 - iter 140/280 - loss 0.31659392 -2019-06-26 16:43:12,293 epoch 96 - iter 168/280 - loss 0.30615946 -2019-06-26 16:43:16,861 epoch 96 - iter 196/280 - loss 0.31071557 -2019-06-26 16:43:21,530 epoch 96 - iter 224/280 - loss 0.31043179 -2019-06-26 16:43:26,093 epoch 96 - iter 252/280 - loss 0.31719175 -2019-06-26 16:43:30,350 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:43:30,350 EPOCH 96 done: loss 0.3163 - lr 0.0250 -2019-06-26 16:44:22,522 TEST : loss 2.596226453781128 - score 0.9645 -2019-06-26 16:44:22,522 BAD EPOCHS (no improvement): 1 -2019-06-26 16:44:22,529 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:44:22,708 epoch 97 - iter 0/280 - loss 0.38317227 -2019-06-26 16:44:27,586 epoch 97 - iter 28/280 - loss 0.36171038 -2019-06-26 16:44:32,228 epoch 97 - iter 56/280 - loss 0.31928064 -2019-06-26 16:44:36,820 epoch 97 - iter 84/280 - loss 0.33000044 -2019-06-26 16:44:41,387 epoch 97 - iter 112/280 - loss 0.32841378 -2019-06-26 16:44:45,909 epoch 97 - iter 140/280 - loss 0.31024840 -2019-06-26 16:44:50,341 epoch 97 - iter 168/280 - loss 0.30931349 -2019-06-26 16:44:54,899 epoch 97 - iter 196/280 - loss 0.30250620 -2019-06-26 16:44:59,380 epoch 97 - iter 224/280 - loss 0.31395581 -2019-06-26 16:45:03,837 epoch 97 - iter 252/280 - loss 0.31008405 -2019-06-26 16:45:08,095 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:45:08,095 EPOCH 97 done: loss 0.3101 - lr 0.0250 -2019-06-26 16:46:00,207 TEST : loss 2.563284397125244 - score 0.9651 -2019-06-26 16:46:00,207 BAD EPOCHS (no improvement): 2 -2019-06-26 16:46:00,220 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:46:00,407 epoch 98 - iter 0/280 - loss 0.45596838 -2019-06-26 16:46:05,342 epoch 98 - iter 28/280 - loss 0.25633344 -2019-06-26 16:46:09,892 epoch 98 - iter 56/280 - loss 0.29728928 -2019-06-26 16:46:14,341 epoch 98 - iter 84/280 - loss 0.28119618 -2019-06-26 16:46:18,768 epoch 98 - iter 112/280 - loss 0.27660995 -2019-06-26 16:46:23,435 epoch 98 - iter 140/280 - loss 0.28125296 -2019-06-26 16:46:27,897 epoch 98 - iter 168/280 - loss 0.28388452 -2019-06-26 16:46:32,442 epoch 98 - iter 196/280 - loss 0.28101029 -2019-06-26 16:46:37,107 epoch 98 - iter 224/280 - loss 0.28792071 -2019-06-26 16:46:41,604 epoch 98 - iter 252/280 - loss 0.29323502 -2019-06-26 16:46:45,923 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:46:45,923 EPOCH 98 done: loss 0.2919 - lr 0.0250 -2019-06-26 16:47:38,119 TEST : loss 2.608942747116089 - score 0.9648 -2019-06-26 16:47:38,119 BAD EPOCHS (no improvement): 3 -2019-06-26 16:47:38,130 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:47:38,303 epoch 99 - iter 0/280 - loss 0.33956838 -2019-06-26 16:47:43,101 epoch 99 - iter 28/280 - loss 0.27807407 -2019-06-26 16:47:47,852 epoch 99 - iter 56/280 - loss 0.30252266 -2019-06-26 16:47:52,499 epoch 99 - iter 84/280 - loss 0.30652126 -2019-06-26 16:47:57,014 epoch 99 - iter 112/280 - loss 0.27874451 -2019-06-26 16:48:01,523 epoch 99 - iter 140/280 - loss 0.28179380 -2019-06-26 16:48:06,101 epoch 99 - iter 168/280 - loss 0.27888371 -2019-06-26 16:48:10,527 epoch 99 - iter 196/280 - loss 0.29499619 -2019-06-26 16:48:15,224 epoch 99 - iter 224/280 - loss 0.29723419 -2019-06-26 16:48:19,739 epoch 99 - iter 252/280 - loss 0.29637610 -2019-06-26 16:48:24,064 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:48:24,064 EPOCH 99 done: loss 0.3047 - lr 0.0250 -2019-06-26 16:49:16,145 TEST : loss 2.59614896774292 - score 0.9646 -2019-06-26 16:49:16,145 BAD EPOCHS (no improvement): 4 -2019-06-26 16:49:16,146 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:49:16,317 epoch 100 - iter 0/280 - loss 1.61148083 -2019-06-26 16:49:20,905 epoch 100 - iter 28/280 - loss 0.42040223 -2019-06-26 16:49:25,470 epoch 100 - iter 56/280 - loss 0.37869416 -2019-06-26 16:49:29,941 epoch 100 - iter 84/280 - loss 0.35873099 -2019-06-26 16:49:34,382 epoch 100 - iter 112/280 - loss 0.35083321 -2019-06-26 16:49:38,887 epoch 100 - iter 140/280 - loss 0.33926128 -2019-06-26 16:49:43,413 epoch 100 - iter 168/280 - loss 0.33794043 -2019-06-26 16:49:47,814 epoch 100 - iter 196/280 - loss 0.34255927 -2019-06-26 16:49:52,299 epoch 100 - iter 224/280 - loss 0.33946538 -2019-06-26 16:49:56,825 epoch 100 - iter 252/280 - loss 0.33267803 -2019-06-26 16:50:01,299 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:50:01,300 EPOCH 100 done: loss 0.3352 - lr 0.0125 -2019-06-26 16:50:53,541 TEST : loss 2.580585479736328 - score 0.9648 -2019-06-26 16:50:53,541 BAD EPOCHS (no improvement): 1 -2019-06-26 16:50:53,542 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:50:53,723 epoch 101 - iter 0/280 - loss 0.20644379 -2019-06-26 16:50:58,243 epoch 101 - iter 28/280 - loss 0.22019421 -2019-06-26 16:51:02,713 epoch 101 - iter 56/280 - loss 0.28502468 -2019-06-26 16:51:07,241 epoch 101 - iter 84/280 - loss 0.30826122 -2019-06-26 16:51:11,614 epoch 101 - iter 112/280 - loss 0.29713654 -2019-06-26 16:51:16,074 epoch 101 - iter 140/280 - loss 0.31376783 -2019-06-26 16:51:20,798 epoch 101 - iter 168/280 - loss 0.31236058 -2019-06-26 16:51:25,309 epoch 101 - iter 196/280 - loss 0.31090287 -2019-06-26 16:51:29,864 epoch 101 - iter 224/280 - loss 0.31220507 -2019-06-26 16:51:34,325 epoch 101 - iter 252/280 - loss 0.30741027 -2019-06-26 16:51:38,701 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:51:38,702 EPOCH 101 done: loss 0.3056 - lr 0.0125 -2019-06-26 16:52:36,249 TEST : loss 2.577434539794922 - score 0.9647 -2019-06-26 16:52:36,249 BAD EPOCHS (no improvement): 2 -2019-06-26 16:52:36,339 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:52:36,518 epoch 102 - iter 0/280 - loss 0.23091435 -2019-06-26 16:52:41,295 epoch 102 - iter 28/280 - loss 0.27284593 -2019-06-26 16:52:46,010 epoch 102 - iter 56/280 - loss 0.26182574 -2019-06-26 16:52:50,565 epoch 102 - iter 84/280 - loss 0.25813548 -2019-06-26 16:52:55,203 epoch 102 - iter 112/280 - loss 0.27378221 -2019-06-26 16:52:59,852 epoch 102 - iter 140/280 - loss 0.26693142 -2019-06-26 16:53:04,351 epoch 102 - iter 168/280 - loss 0.25472593 -2019-06-26 16:53:08,744 epoch 102 - iter 196/280 - loss 0.26003373 -2019-06-26 16:53:13,257 epoch 102 - iter 224/280 - loss 0.26442355 -2019-06-26 16:53:17,717 epoch 102 - iter 252/280 - loss 0.26510723 -2019-06-26 16:53:21,927 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:53:21,928 EPOCH 102 done: loss 0.2770 - lr 0.0125 -2019-06-26 16:54:13,130 TEST : loss 2.5740463733673096 - score 0.9655 -2019-06-26 16:54:13,130 BAD EPOCHS (no improvement): 0 -2019-06-26 16:54:13,142 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:54:13,337 epoch 103 - iter 0/280 - loss 0.03620768 -2019-06-26 16:54:18,157 epoch 103 - iter 28/280 - loss 0.28927419 -2019-06-26 16:54:22,703 epoch 103 - iter 56/280 - loss 0.34535574 -2019-06-26 16:54:26,971 epoch 103 - iter 84/280 - loss 0.34705104 -2019-06-26 16:54:31,435 epoch 103 - iter 112/280 - loss 0.34553089 -2019-06-26 16:54:35,828 epoch 103 - iter 140/280 - loss 0.32151488 -2019-06-26 16:54:40,270 epoch 103 - iter 168/280 - loss 0.32274654 -2019-06-26 16:54:44,858 epoch 103 - iter 196/280 - loss 0.32805211 -2019-06-26 16:54:49,290 epoch 103 - iter 224/280 - loss 0.32197595 -2019-06-26 16:54:53,784 epoch 103 - iter 252/280 - loss 0.31103636 -2019-06-26 16:54:58,168 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:54:58,168 EPOCH 103 done: loss 0.3083 - lr 0.0125 -2019-06-26 16:55:50,619 TEST : loss 2.5895822048187256 - score 0.9651 -2019-06-26 16:55:50,620 BAD EPOCHS (no improvement): 1 -2019-06-26 16:55:50,621 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:55:50,813 epoch 104 - iter 0/280 - loss 0.34394133 -2019-06-26 16:55:55,337 epoch 104 - iter 28/280 - loss 0.27828903 -2019-06-26 16:55:59,891 epoch 104 - iter 56/280 - loss 0.30704513 -2019-06-26 16:56:04,632 epoch 104 - iter 84/280 - loss 0.28234806 -2019-06-26 16:56:09,175 epoch 104 - iter 112/280 - loss 0.27795418 -2019-06-26 16:56:13,785 epoch 104 - iter 140/280 - loss 0.28541939 -2019-06-26 16:56:18,356 epoch 104 - iter 168/280 - loss 0.28698725 -2019-06-26 16:56:23,038 epoch 104 - iter 196/280 - loss 0.28602902 -2019-06-26 16:56:27,546 epoch 104 - iter 224/280 - loss 0.28224625 -2019-06-26 16:56:32,133 epoch 104 - iter 252/280 - loss 0.27368199 -2019-06-26 16:56:36,359 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:56:36,359 EPOCH 104 done: loss 0.2788 - lr 0.0125 -2019-06-26 16:57:28,486 TEST : loss 2.5913496017456055 - score 0.9648 -2019-06-26 16:57:28,486 BAD EPOCHS (no improvement): 2 -2019-06-26 16:57:28,487 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:57:28,647 epoch 105 - iter 0/280 - loss 0.51996374 -2019-06-26 16:57:33,325 epoch 105 - iter 28/280 - loss 0.33468141 -2019-06-26 16:57:37,984 epoch 105 - iter 56/280 - loss 0.30528461 -2019-06-26 16:57:42,311 epoch 105 - iter 84/280 - loss 0.29952014 -2019-06-26 16:57:46,763 epoch 105 - iter 112/280 - loss 0.29371815 -2019-06-26 16:57:51,330 epoch 105 - iter 140/280 - loss 0.29728867 -2019-06-26 16:57:56,041 epoch 105 - iter 168/280 - loss 0.30273223 -2019-06-26 16:58:00,587 epoch 105 - iter 196/280 - loss 0.30878491 -2019-06-26 16:58:05,300 epoch 105 - iter 224/280 - loss 0.30401108 -2019-06-26 16:58:09,725 epoch 105 - iter 252/280 - loss 0.29735982 -2019-06-26 16:58:13,789 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:58:13,789 EPOCH 105 done: loss 0.2985 - lr 0.0125 -2019-06-26 16:59:10,045 TEST : loss 2.5944273471832275 - score 0.9651 -2019-06-26 16:59:10,046 BAD EPOCHS (no improvement): 3 -2019-06-26 16:59:10,047 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:59:10,220 epoch 106 - iter 0/280 - loss 0.02098966 -2019-06-26 16:59:14,975 epoch 106 - iter 28/280 - loss 0.41421395 -2019-06-26 16:59:19,531 epoch 106 - iter 56/280 - loss 0.34405038 -2019-06-26 16:59:24,117 epoch 106 - iter 84/280 - loss 0.33825932 -2019-06-26 16:59:28,760 epoch 106 - iter 112/280 - loss 0.32172567 -2019-06-26 16:59:33,424 epoch 106 - iter 140/280 - loss 0.31394815 -2019-06-26 16:59:38,177 epoch 106 - iter 168/280 - loss 0.31456324 -2019-06-26 16:59:42,818 epoch 106 - iter 196/280 - loss 0.31414706 -2019-06-26 16:59:47,434 epoch 106 - iter 224/280 - loss 0.30856707 -2019-06-26 16:59:51,936 epoch 106 - iter 252/280 - loss 0.32088375 -2019-06-26 16:59:56,278 ---------------------------------------------------------------------------------------------------- -2019-06-26 16:59:56,278 EPOCH 106 done: loss 0.3167 - lr 0.0125 -2019-06-26 17:00:48,424 TEST : loss 2.5960845947265625 - score 0.965 -2019-06-26 17:00:48,425 BAD EPOCHS (no improvement): 4 -2019-06-26 17:00:48,436 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:00:48,607 epoch 107 - iter 0/280 - loss 0.21696424 -2019-06-26 17:00:53,374 epoch 107 - iter 28/280 - loss 0.29080199 -2019-06-26 17:00:58,037 epoch 107 - iter 56/280 - loss 0.29961222 -2019-06-26 17:01:02,478 epoch 107 - iter 84/280 - loss 0.31172502 -2019-06-26 17:01:06,873 epoch 107 - iter 112/280 - loss 0.29899024 -2019-06-26 17:01:11,300 epoch 107 - iter 140/280 - loss 0.28482459 -2019-06-26 17:01:15,843 epoch 107 - iter 168/280 - loss 0.28771535 -2019-06-26 17:01:20,485 epoch 107 - iter 196/280 - loss 0.29153235 -2019-06-26 17:01:25,022 epoch 107 - iter 224/280 - loss 0.29171342 -2019-06-26 17:01:29,298 epoch 107 - iter 252/280 - loss 0.29012912 -2019-06-26 17:01:33,592 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:01:33,593 EPOCH 107 done: loss 0.2879 - lr 0.0063 -2019-06-26 17:02:26,516 TEST : loss 2.6127607822418213 - score 0.9653 -2019-06-26 17:02:26,516 BAD EPOCHS (no improvement): 1 -2019-06-26 17:02:26,524 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:02:26,713 epoch 108 - iter 0/280 - loss 0.46869755 -2019-06-26 17:02:31,515 epoch 108 - iter 28/280 - loss 0.25853908 -2019-06-26 17:02:35,959 epoch 108 - iter 56/280 - loss 0.26531163 -2019-06-26 17:02:40,619 epoch 108 - iter 84/280 - loss 0.27602657 -2019-06-26 17:02:45,129 epoch 108 - iter 112/280 - loss 0.34085625 -2019-06-26 17:02:49,434 epoch 108 - iter 140/280 - loss 0.34573663 -2019-06-26 17:02:53,909 epoch 108 - iter 168/280 - loss 0.34136434 -2019-06-26 17:02:58,189 epoch 108 - iter 196/280 - loss 0.34015088 -2019-06-26 17:03:02,766 epoch 108 - iter 224/280 - loss 0.32906183 -2019-06-26 17:03:07,299 epoch 108 - iter 252/280 - loss 0.34138484 -2019-06-26 17:03:11,572 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:03:11,572 EPOCH 108 done: loss 0.3292 - lr 0.0063 -2019-06-26 17:04:03,890 TEST : loss 2.61938214302063 - score 0.9651 -2019-06-26 17:04:03,890 BAD EPOCHS (no improvement): 2 -2019-06-26 17:04:03,918 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:04:04,096 epoch 109 - iter 0/280 - loss 0.37019062 -2019-06-26 17:04:08,789 epoch 109 - iter 28/280 - loss 0.31619176 -2019-06-26 17:04:13,421 epoch 109 - iter 56/280 - loss 0.27393029 -2019-06-26 17:04:18,037 epoch 109 - iter 84/280 - loss 0.27944957 -2019-06-26 17:04:22,530 epoch 109 - iter 112/280 - loss 0.28423317 -2019-06-26 17:04:27,140 epoch 109 - iter 140/280 - loss 0.27893373 -2019-06-26 17:04:31,810 epoch 109 - iter 168/280 - loss 0.27230463 -2019-06-26 17:04:36,346 epoch 109 - iter 196/280 - loss 0.28757463 -2019-06-26 17:04:40,943 epoch 109 - iter 224/280 - loss 0.28618634 -2019-06-26 17:04:45,493 epoch 109 - iter 252/280 - loss 0.28457390 -2019-06-26 17:04:49,910 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:04:49,910 EPOCH 109 done: loss 0.2880 - lr 0.0063 -2019-06-26 17:05:43,000 TEST : loss 2.613196611404419 - score 0.9649 -2019-06-26 17:05:43,001 BAD EPOCHS (no improvement): 3 -2019-06-26 17:05:43,014 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:05:43,210 epoch 110 - iter 0/280 - loss 0.11092901 -2019-06-26 17:05:48,097 epoch 110 - iter 28/280 - loss 0.31839051 -2019-06-26 17:05:52,530 epoch 110 - iter 56/280 - loss 0.27698742 -2019-06-26 17:05:57,132 epoch 110 - iter 84/280 - loss 0.29645619 -2019-06-26 17:06:01,490 epoch 110 - iter 112/280 - loss 0.28535571 -2019-06-26 17:06:05,932 epoch 110 - iter 140/280 - loss 0.30491808 -2019-06-26 17:06:10,269 epoch 110 - iter 168/280 - loss 0.32313856 -2019-06-26 17:06:14,870 epoch 110 - iter 196/280 - loss 0.31922268 -2019-06-26 17:06:19,326 epoch 110 - iter 224/280 - loss 0.31161037 -2019-06-26 17:06:23,881 epoch 110 - iter 252/280 - loss 0.30626296 -2019-06-26 17:06:28,128 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:06:28,128 EPOCH 110 done: loss 0.3023 - lr 0.0063 -2019-06-26 17:07:24,549 TEST : loss 2.6062533855438232 - score 0.9648 -2019-06-26 17:07:24,549 BAD EPOCHS (no improvement): 4 -2019-06-26 17:07:24,550 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:07:24,725 epoch 111 - iter 0/280 - loss 0.60179949 -2019-06-26 17:07:29,367 epoch 111 - iter 28/280 - loss 0.28623227 -2019-06-26 17:07:33,911 epoch 111 - iter 56/280 - loss 0.28333652 -2019-06-26 17:07:38,534 epoch 111 - iter 84/280 - loss 0.27112574 -2019-06-26 17:07:43,101 epoch 111 - iter 112/280 - loss 0.27627899 -2019-06-26 17:07:47,471 epoch 111 - iter 140/280 - loss 0.27852446 -2019-06-26 17:07:51,762 epoch 111 - iter 168/280 - loss 0.27676472 -2019-06-26 17:07:56,277 epoch 111 - iter 196/280 - loss 0.28261824 -2019-06-26 17:08:00,785 epoch 111 - iter 224/280 - loss 0.27467060 -2019-06-26 17:08:05,343 epoch 111 - iter 252/280 - loss 0.28245627 -2019-06-26 17:08:09,705 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:08:09,706 EPOCH 111 done: loss 0.2793 - lr 0.0031 -2019-06-26 17:09:03,295 TEST : loss 2.604707717895508 - score 0.9652 -2019-06-26 17:09:03,295 BAD EPOCHS (no improvement): 1 -2019-06-26 17:09:03,390 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:09:03,551 epoch 112 - iter 0/280 - loss 0.12808758 -2019-06-26 17:09:08,286 epoch 112 - iter 28/280 - loss 0.27318690 -2019-06-26 17:09:12,870 epoch 112 - iter 56/280 - loss 0.28238394 -2019-06-26 17:09:17,440 epoch 112 - iter 84/280 - loss 0.28628123 -2019-06-26 17:09:21,883 epoch 112 - iter 112/280 - loss 0.27876116 -2019-06-26 17:09:26,505 epoch 112 - iter 140/280 - loss 0.27466471 -2019-06-26 17:09:31,195 epoch 112 - iter 168/280 - loss 0.26483552 -2019-06-26 17:09:35,986 epoch 112 - iter 196/280 - loss 0.26633193 -2019-06-26 17:09:40,577 epoch 112 - iter 224/280 - loss 0.27055673 -2019-06-26 17:09:45,067 epoch 112 - iter 252/280 - loss 0.28540362 -2019-06-26 17:09:49,289 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:09:49,289 EPOCH 112 done: loss 0.2880 - lr 0.0031 -2019-06-26 17:10:44,065 TEST : loss 2.606041193008423 - score 0.965 -2019-06-26 17:10:44,065 BAD EPOCHS (no improvement): 2 -2019-06-26 17:10:44,066 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:10:44,296 epoch 113 - iter 0/280 - loss 0.11711574 -2019-06-26 17:10:49,113 epoch 113 - iter 28/280 - loss 0.28016392 -2019-06-26 17:10:53,663 epoch 113 - iter 56/280 - loss 0.28715947 -2019-06-26 17:10:58,057 epoch 113 - iter 84/280 - loss 0.27617257 -2019-06-26 17:11:02,488 epoch 113 - iter 112/280 - loss 0.27143371 -2019-06-26 17:11:07,087 epoch 113 - iter 140/280 - loss 0.27448163 -2019-06-26 17:11:11,679 epoch 113 - iter 168/280 - loss 0.27593120 -2019-06-26 17:11:16,216 epoch 113 - iter 196/280 - loss 0.27539770 -2019-06-26 17:11:20,896 epoch 113 - iter 224/280 - loss 0.27214438 -2019-06-26 17:11:25,435 epoch 113 - iter 252/280 - loss 0.27667002 -2019-06-26 17:11:29,666 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:11:29,666 EPOCH 113 done: loss 0.2798 - lr 0.0031 -2019-06-26 17:12:24,424 TEST : loss 2.6092140674591064 - score 0.9648 -2019-06-26 17:12:24,425 BAD EPOCHS (no improvement): 3 -2019-06-26 17:12:24,425 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:12:24,591 epoch 114 - iter 0/280 - loss 0.43536878 -2019-06-26 17:12:29,248 epoch 114 - iter 28/280 - loss 0.35874956 -2019-06-26 17:12:33,702 epoch 114 - iter 56/280 - loss 0.34454147 -2019-06-26 17:12:38,382 epoch 114 - iter 84/280 - loss 0.33321535 -2019-06-26 17:12:42,958 epoch 114 - iter 112/280 - loss 0.29646198 -2019-06-26 17:12:47,467 epoch 114 - iter 140/280 - loss 0.31063029 -2019-06-26 17:12:52,042 epoch 114 - iter 168/280 - loss 0.30708738 -2019-06-26 17:12:56,643 epoch 114 - iter 196/280 - loss 0.32220149 -2019-06-26 17:13:01,483 epoch 114 - iter 224/280 - loss 0.30305095 -2019-06-26 17:13:05,872 epoch 114 - iter 252/280 - loss 0.30055912 -2019-06-26 17:13:10,217 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:13:10,217 EPOCH 114 done: loss 0.2961 - lr 0.0031 -2019-06-26 17:14:02,457 TEST : loss 2.6131930351257324 - score 0.9648 -2019-06-26 17:14:02,457 BAD EPOCHS (no improvement): 4 -2019-06-26 17:14:02,458 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:14:02,649 epoch 115 - iter 0/280 - loss 0.19814682 -2019-06-26 17:14:07,366 epoch 115 - iter 28/280 - loss 0.22768055 -2019-06-26 17:14:12,185 epoch 115 - iter 56/280 - loss 0.24687164 -2019-06-26 17:14:16,828 epoch 115 - iter 84/280 - loss 0.26483160 -2019-06-26 17:14:21,353 epoch 115 - iter 112/280 - loss 0.27575725 -2019-06-26 17:14:26,014 epoch 115 - iter 140/280 - loss 0.27261504 -2019-06-26 17:14:30,602 epoch 115 - iter 168/280 - loss 0.26828331 -2019-06-26 17:14:35,155 epoch 115 - iter 196/280 - loss 0.25830365 -2019-06-26 17:14:39,709 epoch 115 - iter 224/280 - loss 0.26257158 -2019-06-26 17:14:44,059 epoch 115 - iter 252/280 - loss 0.26418992 -2019-06-26 17:14:48,419 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:14:48,419 EPOCH 115 done: loss 0.2709 - lr 0.0016 -2019-06-26 17:15:41,813 TEST : loss 2.6121180057525635 - score 0.9647 -2019-06-26 17:15:41,814 BAD EPOCHS (no improvement): 0 -2019-06-26 17:15:41,824 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:15:41,982 epoch 116 - iter 0/280 - loss 0.31002140 -2019-06-26 17:15:46,808 epoch 116 - iter 28/280 - loss 0.35476163 -2019-06-26 17:15:51,386 epoch 116 - iter 56/280 - loss 0.33714491 -2019-06-26 17:15:56,112 epoch 116 - iter 84/280 - loss 0.34006433 -2019-06-26 17:16:00,644 epoch 116 - iter 112/280 - loss 0.32296868 -2019-06-26 17:16:05,328 epoch 116 - iter 140/280 - loss 0.31818982 -2019-06-26 17:16:09,916 epoch 116 - iter 168/280 - loss 0.29939129 -2019-06-26 17:16:14,516 epoch 116 - iter 196/280 - loss 0.31617628 -2019-06-26 17:16:19,211 epoch 116 - iter 224/280 - loss 0.30564195 -2019-06-26 17:16:23,715 epoch 116 - iter 252/280 - loss 0.29112885 -2019-06-26 17:16:28,030 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:16:28,030 EPOCH 116 done: loss 0.2937 - lr 0.0016 -2019-06-26 17:17:21,313 TEST : loss 2.612400770187378 - score 0.9648 -2019-06-26 17:17:21,313 BAD EPOCHS (no improvement): 1 -2019-06-26 17:17:21,358 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:17:21,540 epoch 117 - iter 0/280 - loss 0.11524057 -2019-06-26 17:17:26,619 epoch 117 - iter 28/280 - loss 0.30612075 -2019-06-26 17:17:31,187 epoch 117 - iter 56/280 - loss 0.25593480 -2019-06-26 17:17:35,764 epoch 117 - iter 84/280 - loss 0.28970803 -2019-06-26 17:17:40,219 epoch 117 - iter 112/280 - loss 0.28080018 -2019-06-26 17:17:44,611 epoch 117 - iter 140/280 - loss 0.28599787 -2019-06-26 17:17:48,954 epoch 117 - iter 168/280 - loss 0.29361791 -2019-06-26 17:17:53,479 epoch 117 - iter 196/280 - loss 0.29679980 -2019-06-26 17:17:57,886 epoch 117 - iter 224/280 - loss 0.29785774 -2019-06-26 17:18:02,431 epoch 117 - iter 252/280 - loss 0.29343314 -2019-06-26 17:18:06,789 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:18:06,789 EPOCH 117 done: loss 0.2907 - lr 0.0016 -2019-06-26 17:18:59,253 TEST : loss 2.6090798377990723 - score 0.965 -2019-06-26 17:18:59,254 BAD EPOCHS (no improvement): 2 -2019-06-26 17:18:59,261 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:18:59,410 epoch 118 - iter 0/280 - loss 0.08626103 -2019-06-26 17:19:04,117 epoch 118 - iter 28/280 - loss 0.18588768 -2019-06-26 17:19:08,603 epoch 118 - iter 56/280 - loss 0.21001223 -2019-06-26 17:19:13,120 epoch 118 - iter 84/280 - loss 0.22105052 -2019-06-26 17:19:17,494 epoch 118 - iter 112/280 - loss 0.24553992 -2019-06-26 17:19:22,019 epoch 118 - iter 140/280 - loss 0.27284062 -2019-06-26 17:19:26,417 epoch 118 - iter 168/280 - loss 0.28129155 -2019-06-26 17:19:31,021 epoch 118 - iter 196/280 - loss 0.29458098 -2019-06-26 17:19:35,540 epoch 118 - iter 224/280 - loss 0.29512594 -2019-06-26 17:19:40,179 epoch 118 - iter 252/280 - loss 0.28337657 -2019-06-26 17:19:44,552 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:19:44,552 EPOCH 118 done: loss 0.2870 - lr 0.0016 -2019-06-26 17:20:36,844 TEST : loss 2.6083905696868896 - score 0.9649 -2019-06-26 17:20:36,844 BAD EPOCHS (no improvement): 3 -2019-06-26 17:20:36,845 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:20:37,041 epoch 119 - iter 0/280 - loss 0.29832822 -2019-06-26 17:20:41,641 epoch 119 - iter 28/280 - loss 0.29714717 -2019-06-26 17:20:46,329 epoch 119 - iter 56/280 - loss 0.27115096 -2019-06-26 17:20:50,913 epoch 119 - iter 84/280 - loss 0.27533574 -2019-06-26 17:20:55,735 epoch 119 - iter 112/280 - loss 0.26094449 -2019-06-26 17:21:00,340 epoch 119 - iter 140/280 - loss 0.25377210 -2019-06-26 17:21:04,992 epoch 119 - iter 168/280 - loss 0.26019434 -2019-06-26 17:21:09,501 epoch 119 - iter 196/280 - loss 0.26364759 -2019-06-26 17:21:14,030 epoch 119 - iter 224/280 - loss 0.26138902 -2019-06-26 17:21:18,561 epoch 119 - iter 252/280 - loss 0.25764190 -2019-06-26 17:21:22,811 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:21:22,811 EPOCH 119 done: loss 0.2567 - lr 0.0016 -2019-06-26 17:22:15,946 TEST : loss 2.611344814300537 - score 0.9647 -2019-06-26 17:22:15,946 BAD EPOCHS (no improvement): 0 -2019-06-26 17:22:15,947 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:22:16,131 epoch 120 - iter 0/280 - loss 0.19783926 -2019-06-26 17:22:20,802 epoch 120 - iter 28/280 - loss 0.23874378 -2019-06-26 17:22:25,394 epoch 120 - iter 56/280 - loss 0.24777064 -2019-06-26 17:22:29,717 epoch 120 - iter 84/280 - loss 0.23671028 -2019-06-26 17:22:34,162 epoch 120 - iter 112/280 - loss 0.23147847 -2019-06-26 17:22:38,749 epoch 120 - iter 140/280 - loss 0.23061677 -2019-06-26 17:22:43,324 epoch 120 - iter 168/280 - loss 0.23965768 -2019-06-26 17:22:47,926 epoch 120 - iter 196/280 - loss 0.23808999 -2019-06-26 17:22:52,396 epoch 120 - iter 224/280 - loss 0.24985170 -2019-06-26 17:22:56,875 epoch 120 - iter 252/280 - loss 0.25346715 -2019-06-26 17:23:01,217 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:23:01,218 EPOCH 120 done: loss 0.2538 - lr 0.0016 -2019-06-26 17:23:54,472 TEST : loss 2.61122989654541 - score 0.9648 -2019-06-26 17:23:54,472 BAD EPOCHS (no improvement): 0 -2019-06-26 17:23:54,473 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:23:54,640 epoch 121 - iter 0/280 - loss 0.15901804 -2019-06-26 17:23:59,407 epoch 121 - iter 28/280 - loss 0.26784169 -2019-06-26 17:24:04,015 epoch 121 - iter 56/280 - loss 0.28442714 -2019-06-26 17:24:08,559 epoch 121 - iter 84/280 - loss 0.25733263 -2019-06-26 17:24:13,072 epoch 121 - iter 112/280 - loss 0.25377490 -2019-06-26 17:24:17,754 epoch 121 - iter 140/280 - loss 0.26727926 -2019-06-26 17:24:22,217 epoch 121 - iter 168/280 - loss 0.26604959 -2019-06-26 17:24:26,812 epoch 121 - iter 196/280 - loss 0.28511251 -2019-06-26 17:24:31,535 epoch 121 - iter 224/280 - loss 0.27373207 -2019-06-26 17:24:36,221 epoch 121 - iter 252/280 - loss 0.28131855 -2019-06-26 17:24:40,491 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:24:40,491 EPOCH 121 done: loss 0.2806 - lr 0.0016 -2019-06-26 17:25:35,433 TEST : loss 2.61208176612854 - score 0.9648 -2019-06-26 17:25:35,433 BAD EPOCHS (no improvement): 1 -2019-06-26 17:25:35,440 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:25:35,603 epoch 122 - iter 0/280 - loss 0.16682863 -2019-06-26 17:25:40,300 epoch 122 - iter 28/280 - loss 0.24305208 -2019-06-26 17:25:44,698 epoch 122 - iter 56/280 - loss 0.28951458 -2019-06-26 17:25:49,238 epoch 122 - iter 84/280 - loss 0.29213576 -2019-06-26 17:25:53,839 epoch 122 - iter 112/280 - loss 0.27777715 -2019-06-26 17:25:58,492 epoch 122 - iter 140/280 - loss 0.27579190 -2019-06-26 17:26:03,157 epoch 122 - iter 168/280 - loss 0.28573224 -2019-06-26 17:26:07,693 epoch 122 - iter 196/280 - loss 0.28058220 -2019-06-26 17:26:12,211 epoch 122 - iter 224/280 - loss 0.29023127 -2019-06-26 17:26:16,549 epoch 122 - iter 252/280 - loss 0.28354675 -2019-06-26 17:26:20,895 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:26:20,895 EPOCH 122 done: loss 0.2819 - lr 0.0016 -2019-06-26 17:27:15,562 TEST : loss 2.6110482215881348 - score 0.9649 -2019-06-26 17:27:15,563 BAD EPOCHS (no improvement): 2 -2019-06-26 17:27:15,575 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:27:15,786 epoch 123 - iter 0/280 - loss 0.38423252 -2019-06-26 17:27:20,698 epoch 123 - iter 28/280 - loss 0.27302561 -2019-06-26 17:27:25,148 epoch 123 - iter 56/280 - loss 0.27058695 -2019-06-26 17:27:29,585 epoch 123 - iter 84/280 - loss 0.28707772 -2019-06-26 17:27:34,193 epoch 123 - iter 112/280 - loss 0.28054756 -2019-06-26 17:27:38,617 epoch 123 - iter 140/280 - loss 0.28342696 -2019-06-26 17:27:43,184 epoch 123 - iter 168/280 - loss 0.27858084 -2019-06-26 17:27:47,718 epoch 123 - iter 196/280 - loss 0.28075002 -2019-06-26 17:27:52,258 epoch 123 - iter 224/280 - loss 0.28085545 -2019-06-26 17:27:56,760 epoch 123 - iter 252/280 - loss 0.27691391 -2019-06-26 17:28:01,167 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:28:01,167 EPOCH 123 done: loss 0.2732 - lr 0.0016 -2019-06-26 17:28:57,401 TEST : loss 2.612175226211548 - score 0.9648 -2019-06-26 17:28:57,401 BAD EPOCHS (no improvement): 3 -2019-06-26 17:28:57,402 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:28:57,558 epoch 124 - iter 0/280 - loss 0.20623827 -2019-06-26 17:29:02,369 epoch 124 - iter 28/280 - loss 0.21537521 -2019-06-26 17:29:06,995 epoch 124 - iter 56/280 - loss 0.25169279 -2019-06-26 17:29:11,594 epoch 124 - iter 84/280 - loss 0.24781498 -2019-06-26 17:29:16,063 epoch 124 - iter 112/280 - loss 0.25282495 -2019-06-26 17:29:20,560 epoch 124 - iter 140/280 - loss 0.27190440 -2019-06-26 17:29:25,233 epoch 124 - iter 168/280 - loss 0.27397743 -2019-06-26 17:29:29,750 epoch 124 - iter 196/280 - loss 0.27802795 -2019-06-26 17:29:34,164 epoch 124 - iter 224/280 - loss 0.27141631 -2019-06-26 17:29:38,739 epoch 124 - iter 252/280 - loss 0.26734578 -2019-06-26 17:29:43,023 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:29:43,023 EPOCH 124 done: loss 0.2732 - lr 0.0016 -2019-06-26 17:30:35,643 TEST : loss 2.6137993335723877 - score 0.9649 -2019-06-26 17:30:35,643 BAD EPOCHS (no improvement): 4 -2019-06-26 17:30:35,655 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:30:35,850 epoch 125 - iter 0/280 - loss 0.07835102 -2019-06-26 17:30:40,705 epoch 125 - iter 28/280 - loss 0.29381252 -2019-06-26 17:30:45,259 epoch 125 - iter 56/280 - loss 0.30619563 -2019-06-26 17:30:49,904 epoch 125 - iter 84/280 - loss 0.28718535 -2019-06-26 17:30:54,513 epoch 125 - iter 112/280 - loss 0.28822523 -2019-06-26 17:30:59,100 epoch 125 - iter 140/280 - loss 0.27367160 -2019-06-26 17:31:03,481 epoch 125 - iter 168/280 - loss 0.27257485 -2019-06-26 17:31:07,984 epoch 125 - iter 196/280 - loss 0.26991904 -2019-06-26 17:31:12,639 epoch 125 - iter 224/280 - loss 0.29636705 -2019-06-26 17:31:17,089 epoch 125 - iter 252/280 - loss 0.29683484 -2019-06-26 17:31:21,346 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:31:21,346 EPOCH 125 done: loss 0.3000 - lr 0.0008 -2019-06-26 17:32:14,201 TEST : loss 2.613884210586548 - score 0.9649 -2019-06-26 17:32:14,202 BAD EPOCHS (no improvement): 1 -2019-06-26 17:32:14,221 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:32:14,391 epoch 126 - iter 0/280 - loss 0.10977745 -2019-06-26 17:32:19,186 epoch 126 - iter 28/280 - loss 0.32776829 -2019-06-26 17:32:23,552 epoch 126 - iter 56/280 - loss 0.33526689 -2019-06-26 17:32:28,124 epoch 126 - iter 84/280 - loss 0.34387175 -2019-06-26 17:32:32,826 epoch 126 - iter 112/280 - loss 0.32913915 -2019-06-26 17:32:37,324 epoch 126 - iter 140/280 - loss 0.31075527 -2019-06-26 17:32:41,865 epoch 126 - iter 168/280 - loss 0.31009025 -2019-06-26 17:32:46,315 epoch 126 - iter 196/280 - loss 0.30502428 -2019-06-26 17:32:50,864 epoch 126 - iter 224/280 - loss 0.29073166 -2019-06-26 17:32:55,470 epoch 126 - iter 252/280 - loss 0.28617579 -2019-06-26 17:32:59,817 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:32:59,817 EPOCH 126 done: loss 0.2866 - lr 0.0008 -2019-06-26 17:33:52,573 TEST : loss 2.6147239208221436 - score 0.9648 -2019-06-26 17:33:52,573 BAD EPOCHS (no improvement): 2 -2019-06-26 17:33:52,574 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:33:52,731 epoch 127 - iter 0/280 - loss 0.17289770 -2019-06-26 17:33:57,404 epoch 127 - iter 28/280 - loss 0.26078758 -2019-06-26 17:34:01,981 epoch 127 - iter 56/280 - loss 0.27639273 -2019-06-26 17:34:06,548 epoch 127 - iter 84/280 - loss 0.32689258 -2019-06-26 17:34:10,957 epoch 127 - iter 112/280 - loss 0.31341896 -2019-06-26 17:34:15,526 epoch 127 - iter 140/280 - loss 0.31448802 -2019-06-26 17:34:20,116 epoch 127 - iter 168/280 - loss 0.31592776 -2019-06-26 17:34:24,783 epoch 127 - iter 196/280 - loss 0.32934093 -2019-06-26 17:34:29,296 epoch 127 - iter 224/280 - loss 0.32510138 -2019-06-26 17:34:33,626 epoch 127 - iter 252/280 - loss 0.32876928 -2019-06-26 17:34:37,874 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:34:37,874 EPOCH 127 done: loss 0.3245 - lr 0.0008 -2019-06-26 17:35:30,081 TEST : loss 2.6141140460968018 - score 0.9648 -2019-06-26 17:35:30,081 BAD EPOCHS (no improvement): 3 -2019-06-26 17:35:30,082 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:35:30,292 epoch 128 - iter 0/280 - loss 0.27671909 -2019-06-26 17:35:34,866 epoch 128 - iter 28/280 - loss 0.32020298 -2019-06-26 17:35:39,421 epoch 128 - iter 56/280 - loss 0.27308523 -2019-06-26 17:35:43,971 epoch 128 - iter 84/280 - loss 0.27860461 -2019-06-26 17:35:48,494 epoch 128 - iter 112/280 - loss 0.29491810 -2019-06-26 17:35:53,129 epoch 128 - iter 140/280 - loss 0.30334915 -2019-06-26 17:35:57,548 epoch 128 - iter 168/280 - loss 0.30545376 -2019-06-26 17:36:01,935 epoch 128 - iter 196/280 - loss 0.29912444 -2019-06-26 17:36:06,352 epoch 128 - iter 224/280 - loss 0.29974346 -2019-06-26 17:36:10,882 epoch 128 - iter 252/280 - loss 0.29281248 -2019-06-26 17:36:15,081 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:36:15,082 EPOCH 128 done: loss 0.2856 - lr 0.0008 -2019-06-26 17:37:11,292 TEST : loss 2.6134583950042725 - score 0.9649 -2019-06-26 17:37:11,292 BAD EPOCHS (no improvement): 4 -2019-06-26 17:37:11,293 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:37:11,476 epoch 129 - iter 0/280 - loss 0.16857195 -2019-06-26 17:37:16,199 epoch 129 - iter 28/280 - loss 0.24786664 -2019-06-26 17:37:20,643 epoch 129 - iter 56/280 - loss 0.26944097 -2019-06-26 17:37:25,232 epoch 129 - iter 84/280 - loss 0.25718196 -2019-06-26 17:37:29,787 epoch 129 - iter 112/280 - loss 0.25117746 -2019-06-26 17:37:34,223 epoch 129 - iter 140/280 - loss 0.25508529 -2019-06-26 17:37:38,628 epoch 129 - iter 168/280 - loss 0.26019951 -2019-06-26 17:37:43,266 epoch 129 - iter 196/280 - loss 0.26270319 -2019-06-26 17:37:47,747 epoch 129 - iter 224/280 - loss 0.26431855 -2019-06-26 17:37:52,322 epoch 129 - iter 252/280 - loss 0.25816857 -2019-06-26 17:37:56,462 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:37:56,462 EPOCH 129 done: loss 0.2606 - lr 0.0004 -2019-06-26 17:38:49,133 TEST : loss 2.614034652709961 - score 0.9648 -2019-06-26 17:38:49,133 BAD EPOCHS (no improvement): 1 -2019-06-26 17:38:49,134 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:38:49,297 epoch 130 - iter 0/280 - loss 0.23408556 -2019-06-26 17:38:54,174 epoch 130 - iter 28/280 - loss 0.27731606 -2019-06-26 17:38:58,785 epoch 130 - iter 56/280 - loss 0.25647944 -2019-06-26 17:39:03,336 epoch 130 - iter 84/280 - loss 0.24850586 -2019-06-26 17:39:07,855 epoch 130 - iter 112/280 - loss 0.25385431 -2019-06-26 17:39:12,461 epoch 130 - iter 140/280 - loss 0.25913635 -2019-06-26 17:39:17,078 epoch 130 - iter 168/280 - loss 0.26077175 -2019-06-26 17:39:21,714 epoch 130 - iter 196/280 - loss 0.26973832 -2019-06-26 17:39:26,329 epoch 130 - iter 224/280 - loss 0.27985007 -2019-06-26 17:39:30,862 epoch 130 - iter 252/280 - loss 0.27230716 -2019-06-26 17:39:35,312 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:39:35,312 EPOCH 130 done: loss 0.2681 - lr 0.0004 -2019-06-26 17:40:27,522 TEST : loss 2.614490032196045 - score 0.9648 -2019-06-26 17:40:27,523 BAD EPOCHS (no improvement): 2 -2019-06-26 17:40:27,547 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:40:27,722 epoch 131 - iter 0/280 - loss 0.19918597 -2019-06-26 17:40:32,741 epoch 131 - iter 28/280 - loss 0.30076429 -2019-06-26 17:40:37,209 epoch 131 - iter 56/280 - loss 0.27154803 -2019-06-26 17:40:41,448 epoch 131 - iter 84/280 - loss 0.26927492 -2019-06-26 17:40:45,893 epoch 131 - iter 112/280 - loss 0.28739963 -2019-06-26 17:40:50,341 epoch 131 - iter 140/280 - loss 0.29832651 -2019-06-26 17:40:54,858 epoch 131 - iter 168/280 - loss 0.29820900 -2019-06-26 17:40:59,403 epoch 131 - iter 196/280 - loss 0.29849635 -2019-06-26 17:41:03,931 epoch 131 - iter 224/280 - loss 0.28756790 -2019-06-26 17:41:08,439 epoch 131 - iter 252/280 - loss 0.28577603 -2019-06-26 17:41:12,829 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:41:12,829 EPOCH 131 done: loss 0.2905 - lr 0.0004 -2019-06-26 17:42:04,924 TEST : loss 2.6148643493652344 - score 0.9648 -2019-06-26 17:42:04,924 BAD EPOCHS (no improvement): 3 -2019-06-26 17:42:04,925 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:42:05,094 epoch 132 - iter 0/280 - loss 0.19408685 -2019-06-26 17:42:09,761 epoch 132 - iter 28/280 - loss 0.29180715 -2019-06-26 17:42:14,356 epoch 132 - iter 56/280 - loss 0.30054377 -2019-06-26 17:42:19,197 epoch 132 - iter 84/280 - loss 0.26789874 -2019-06-26 17:42:23,869 epoch 132 - iter 112/280 - loss 0.27606291 -2019-06-26 17:42:28,294 epoch 132 - iter 140/280 - loss 0.27219594 -2019-06-26 17:42:32,742 epoch 132 - iter 168/280 - loss 0.26564947 -2019-06-26 17:42:37,133 epoch 132 - iter 196/280 - loss 0.27103655 -2019-06-26 17:42:41,594 epoch 132 - iter 224/280 - loss 0.26900503 -2019-06-26 17:42:46,052 epoch 132 - iter 252/280 - loss 0.27170048 -2019-06-26 17:42:50,314 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:42:50,314 EPOCH 132 done: loss 0.2688 - lr 0.0004 -2019-06-26 17:43:42,419 TEST : loss 2.6145496368408203 - score 0.9648 -2019-06-26 17:43:42,419 BAD EPOCHS (no improvement): 4 -2019-06-26 17:43:42,420 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:43:42,589 epoch 133 - iter 0/280 - loss 0.10220933 -2019-06-26 17:43:47,230 epoch 133 - iter 28/280 - loss 0.23736398 -2019-06-26 17:43:51,787 epoch 133 - iter 56/280 - loss 0.25929565 -2019-06-26 17:43:56,254 epoch 133 - iter 84/280 - loss 0.24716523 -2019-06-26 17:44:00,821 epoch 133 - iter 112/280 - loss 0.27378559 -2019-06-26 17:44:05,474 epoch 133 - iter 140/280 - loss 0.27775856 -2019-06-26 17:44:10,169 epoch 133 - iter 168/280 - loss 0.27983223 -2019-06-26 17:44:14,674 epoch 133 - iter 196/280 - loss 0.28275076 -2019-06-26 17:44:19,163 epoch 133 - iter 224/280 - loss 0.28035930 -2019-06-26 17:44:23,541 epoch 133 - iter 252/280 - loss 0.27758961 -2019-06-26 17:44:27,913 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:44:27,913 EPOCH 133 done: loss 0.2765 - lr 0.0002 -2019-06-26 17:45:20,042 TEST : loss 2.6145007610321045 - score 0.9648 -2019-06-26 17:45:20,042 BAD EPOCHS (no improvement): 1 -2019-06-26 17:45:20,043 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:45:20,199 epoch 134 - iter 0/280 - loss 0.08175194 -2019-06-26 17:45:25,046 epoch 134 - iter 28/280 - loss 0.24648703 -2019-06-26 17:45:29,784 epoch 134 - iter 56/280 - loss 0.31253014 -2019-06-26 17:45:34,465 epoch 134 - iter 84/280 - loss 0.29667127 -2019-06-26 17:45:38,978 epoch 134 - iter 112/280 - loss 0.30003155 -2019-06-26 17:45:43,309 epoch 134 - iter 140/280 - loss 0.29396180 -2019-06-26 17:45:47,718 epoch 134 - iter 168/280 - loss 0.28612614 -2019-06-26 17:45:52,169 epoch 134 - iter 196/280 - loss 0.28818503 -2019-06-26 17:45:56,550 epoch 134 - iter 224/280 - loss 0.27797161 -2019-06-26 17:46:01,180 epoch 134 - iter 252/280 - loss 0.28419319 -2019-06-26 17:46:05,537 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:46:05,537 EPOCH 134 done: loss 0.2880 - lr 0.0002 -2019-06-26 17:46:57,608 TEST : loss 2.614103078842163 - score 0.9648 -2019-06-26 17:46:57,608 BAD EPOCHS (no improvement): 2 -2019-06-26 17:46:57,608 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:46:57,778 epoch 135 - iter 0/280 - loss 0.70526814 -2019-06-26 17:47:02,541 epoch 135 - iter 28/280 - loss 0.24927483 -2019-06-26 17:47:07,098 epoch 135 - iter 56/280 - loss 0.27281103 -2019-06-26 17:47:11,892 epoch 135 - iter 84/280 - loss 0.24921536 -2019-06-26 17:47:16,475 epoch 135 - iter 112/280 - loss 0.25548900 -2019-06-26 17:47:20,971 epoch 135 - iter 140/280 - loss 0.26454951 -2019-06-26 17:47:25,543 epoch 135 - iter 168/280 - loss 0.26990865 -2019-06-26 17:47:29,931 epoch 135 - iter 196/280 - loss 0.26318741 -2019-06-26 17:47:34,496 epoch 135 - iter 224/280 - loss 0.26343024 -2019-06-26 17:47:39,094 epoch 135 - iter 252/280 - loss 0.27277873 -2019-06-26 17:47:43,399 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:47:43,400 EPOCH 135 done: loss 0.2822 - lr 0.0002 -2019-06-26 17:48:35,596 TEST : loss 2.6140124797821045 - score 0.9648 -2019-06-26 17:48:35,597 BAD EPOCHS (no improvement): 3 -2019-06-26 17:48:35,597 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:48:35,750 epoch 136 - iter 0/280 - loss 1.03442049 -2019-06-26 17:48:40,524 epoch 136 - iter 28/280 - loss 0.27794840 -2019-06-26 17:48:45,121 epoch 136 - iter 56/280 - loss 0.26780977 -2019-06-26 17:48:49,849 epoch 136 - iter 84/280 - loss 0.26579873 -2019-06-26 17:48:54,433 epoch 136 - iter 112/280 - loss 0.26233720 -2019-06-26 17:48:59,022 epoch 136 - iter 140/280 - loss 0.27792147 -2019-06-26 17:49:03,668 epoch 136 - iter 168/280 - loss 0.27286482 -2019-06-26 17:49:08,132 epoch 136 - iter 196/280 - loss 0.28123442 -2019-06-26 17:49:12,737 epoch 136 - iter 224/280 - loss 0.28071490 -2019-06-26 17:49:17,247 epoch 136 - iter 252/280 - loss 0.28758472 -2019-06-26 17:49:21,641 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:49:21,642 EPOCH 136 done: loss 0.2775 - lr 0.0002 -2019-06-26 17:50:13,850 TEST : loss 2.6138968467712402 - score 0.9648 -2019-06-26 17:50:13,850 BAD EPOCHS (no improvement): 4 -2019-06-26 17:50:13,851 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:50:13,851 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:50:13,851 learning rate too small - quitting training! -2019-06-26 17:50:13,851 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:50:14,612 ---------------------------------------------------------------------------------------------------- -2019-06-26 17:50:14,613 Testing using best model ... -2019-06-26 17:51:06,731 0.9647 0.9649 0.9648 -2019-06-26 17:51:06,731 -MICRO_AVG: acc 0.932 - f1-score 0.9648 -MACRO_AVG: acc 0.732 - f1-score 0.79715 -ADJP tp: 358 - fp: 72 - fn: 80 - tn: 358 - precision: 0.8326 - recall: 0.8174 - accuracy: 0.7020 - f1-score: 0.8249 -ADVP tp: 746 - fp: 105 - fn: 120 - tn: 746 - precision: 0.8766 - recall: 0.8614 - accuracy: 0.7683 - f1-score: 0.8689 -CONJP tp: 7 - fp: 7 - fn: 2 - tn: 7 - precision: 0.5000 - recall: 0.7778 - accuracy: 0.4375 - f1-score: 0.6087 -INTJ tp: 2 - fp: 0 - fn: 0 - tn: 2 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 -LST tp: 0 - fp: 1 - fn: 5 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 -NP tp: 12046 - fp: 353 - fn: 376 - tn: 12046 - precision: 0.9715 - recall: 0.9697 - accuracy: 0.9429 - f1-score: 0.9706 -PP tp: 4758 - fp: 83 - fn: 53 - tn: 4758 - precision: 0.9829 - recall: 0.9890 - accuracy: 0.9722 - f1-score: 0.9859 -PRT tp: 91 - fp: 29 - fn: 15 - tn: 91 - precision: 0.7583 - recall: 0.8585 - accuracy: 0.6741 - f1-score: 0.8053 -SBAR tp: 502 - fp: 30 - fn: 33 - tn: 502 - precision: 0.9436 - recall: 0.9383 - accuracy: 0.8885 - f1-score: 0.9409 -VP tp: 4505 - fp: 161 - fn: 153 - tn: 4505 - precision: 0.9655 - recall: 0.9672 - accuracy: 0.9348 - f1-score: 0.9663 -2019-06-26 17:51:06,732 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:16,133 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:16,134 Corpus: "Corpus: 8042 train + 894 dev + 2012 test sentences" +2023-04-05 11:29:16,134 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:16,134 Parameters: +2023-04-05 11:29:16,134 - learning_rate: "0.100000" +2023-04-05 11:29:16,134 - mini_batch_size: "32" +2023-04-05 11:29:16,134 - patience: "3" +2023-04-05 11:29:16,134 - anneal_factor: "0.5" +2023-04-05 11:29:16,134 - max_epochs: "150" +2023-04-05 11:29:16,134 - shuffle: "True" +2023-04-05 11:29:16,134 - train_with_dev: "True" +2023-04-05 11:29:16,134 - batch_growth_annealing: "False" +2023-04-05 11:29:16,134 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:16,134 Model training base path: "resources/taggers/release-chunk-0" +2023-04-05 11:29:16,134 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:16,134 Device: cuda:3 +2023-04-05 11:29:16,134 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:16,134 Embeddings storage mode: cpu +2023-04-05 11:29:16,134 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:20,904 epoch 1 - iter 28/280 - loss 2.37282876 - time (sec): 4.77 - samples/sec: 4432.43 - lr: 0.100000 +2023-04-05 11:29:24,490 epoch 1 - iter 56/280 - loss 1.73442584 - time (sec): 8.36 - samples/sec: 5102.03 - lr: 0.100000 +2023-04-05 11:29:28,013 epoch 1 - iter 84/280 - loss 1.39084026 - time (sec): 11.88 - samples/sec: 5382.16 - lr: 0.100000 +2023-04-05 11:29:33,009 epoch 1 - iter 112/280 - loss 1.17618757 - time (sec): 16.88 - samples/sec: 5028.12 - lr: 0.100000 +2023-04-05 11:29:36,729 epoch 1 - iter 140/280 - loss 1.01802104 - time (sec): 20.59 - samples/sec: 5195.77 - lr: 0.100000 +2023-04-05 11:29:40,304 epoch 1 - iter 168/280 - loss 0.90572495 - time (sec): 24.17 - samples/sec: 5289.08 - lr: 0.100000 +2023-04-05 11:29:43,736 epoch 1 - iter 196/280 - loss 0.82891649 - time (sec): 27.60 - samples/sec: 5357.88 - lr: 0.100000 +2023-04-05 11:29:47,291 epoch 1 - iter 224/280 - loss 0.76158106 - time (sec): 31.16 - samples/sec: 5444.79 - lr: 0.100000 +2023-04-05 11:29:50,847 epoch 1 - iter 252/280 - loss 0.70683343 - time (sec): 34.71 - samples/sec: 5496.58 - lr: 0.100000 +2023-04-05 11:29:54,384 epoch 1 - iter 280/280 - loss 0.66134975 - time (sec): 38.25 - samples/sec: 5534.41 - lr: 0.100000 +2023-04-05 11:29:54,384 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:54,384 EPOCH 1 done: loss 0.6613 - lr 0.100000 +2023-04-05 11:29:54,384 BAD EPOCHS (no improvement): 0 +2023-04-05 11:29:54,387 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:29:56,124 epoch 2 - iter 28/280 - loss 0.24668011 - time (sec): 1.74 - samples/sec: 12130.51 - lr: 0.100000 +2023-04-05 11:29:57,899 epoch 2 - iter 56/280 - loss 0.24616989 - time (sec): 3.51 - samples/sec: 12029.61 - lr: 0.100000 +2023-04-05 11:29:59,712 epoch 2 - iter 84/280 - loss 0.23759242 - time (sec): 5.32 - samples/sec: 11832.70 - lr: 0.100000 +2023-04-05 11:30:01,551 epoch 2 - iter 112/280 - loss 0.22930022 - time (sec): 7.16 - samples/sec: 11789.17 - lr: 0.100000 +2023-04-05 11:30:03,348 epoch 2 - iter 140/280 - loss 0.22235325 - time (sec): 8.96 - samples/sec: 11781.96 - lr: 0.100000 +2023-04-05 11:30:05,149 epoch 2 - iter 168/280 - loss 0.21541826 - time (sec): 10.76 - samples/sec: 11783.35 - lr: 0.100000 +2023-04-05 11:30:06,952 epoch 2 - iter 196/280 - loss 0.21196149 - time (sec): 12.56 - samples/sec: 11783.15 - lr: 0.100000 +2023-04-05 11:30:08,784 epoch 2 - iter 224/280 - loss 0.21048863 - time (sec): 14.40 - samples/sec: 11772.43 - lr: 0.100000 +2023-04-05 11:30:10,584 epoch 2 - iter 252/280 - loss 0.20862461 - time (sec): 16.20 - samples/sec: 11777.92 - lr: 0.100000 +2023-04-05 11:30:12,361 epoch 2 - iter 280/280 - loss 0.20466419 - time (sec): 17.97 - samples/sec: 11778.29 - lr: 0.100000 +2023-04-05 11:30:12,361 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:30:12,361 EPOCH 2 done: loss 0.2047 - lr 0.100000 +2023-04-05 11:30:12,361 BAD EPOCHS (no improvement): 0 +2023-04-05 11:30:12,363 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:30:14,195 epoch 3 - iter 28/280 - loss 0.16277843 - time (sec): 1.83 - samples/sec: 11616.71 - lr: 0.100000 +2023-04-05 11:30:16,031 epoch 3 - iter 56/280 - loss 0.17432135 - time (sec): 3.67 - samples/sec: 11684.18 - lr: 0.100000 +2023-04-05 11:30:17,808 epoch 3 - iter 84/280 - loss 0.16850032 - time (sec): 5.44 - samples/sec: 11803.52 - lr: 0.100000 +2023-04-05 11:30:19,567 epoch 3 - iter 112/280 - loss 0.16801260 - time (sec): 7.20 - samples/sec: 11785.46 - lr: 0.100000 +2023-04-05 11:30:21,364 epoch 3 - iter 140/280 - loss 0.16475608 - time (sec): 9.00 - samples/sec: 11795.95 - lr: 0.100000 +2023-04-05 11:30:23,182 epoch 3 - iter 168/280 - loss 0.16252822 - time (sec): 10.82 - samples/sec: 11787.04 - lr: 0.100000 +2023-04-05 11:30:24,948 epoch 3 - iter 196/280 - loss 0.16073945 - time (sec): 12.58 - samples/sec: 11766.81 - lr: 0.100000 +2023-04-05 11:30:26,745 epoch 3 - iter 224/280 - loss 0.15922105 - time (sec): 14.38 - samples/sec: 11756.76 - lr: 0.100000 +2023-04-05 11:30:28,582 epoch 3 - iter 252/280 - loss 0.15826088 - time (sec): 16.22 - samples/sec: 11761.51 - lr: 0.100000 +2023-04-05 11:30:30,368 epoch 3 - iter 280/280 - loss 0.15778524 - time (sec): 18.00 - samples/sec: 11757.82 - lr: 0.100000 +2023-04-05 11:30:30,368 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:30:30,368 EPOCH 3 done: loss 0.1578 - lr 0.100000 +2023-04-05 11:30:30,368 BAD EPOCHS (no improvement): 0 +2023-04-05 11:30:30,371 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:30:32,169 epoch 4 - iter 28/280 - loss 0.14274724 - time (sec): 1.80 - samples/sec: 11788.44 - lr: 0.100000 +2023-04-05 11:30:33,965 epoch 4 - iter 56/280 - loss 0.14312035 - time (sec): 3.59 - samples/sec: 11819.57 - lr: 0.100000 +2023-04-05 11:30:35,737 epoch 4 - iter 84/280 - loss 0.13768537 - time (sec): 5.37 - samples/sec: 11847.30 - lr: 0.100000 +2023-04-05 11:30:37,479 epoch 4 - iter 112/280 - loss 0.13556362 - time (sec): 7.11 - samples/sec: 11916.08 - lr: 0.100000 +2023-04-05 11:30:39,336 epoch 4 - iter 140/280 - loss 0.13667169 - time (sec): 8.97 - samples/sec: 11818.26 - lr: 0.100000 +2023-04-05 11:30:41,119 epoch 4 - iter 168/280 - loss 0.13595646 - time (sec): 10.75 - samples/sec: 11803.97 - lr: 0.100000 +2023-04-05 11:30:42,896 epoch 4 - iter 196/280 - loss 0.13611689 - time (sec): 12.52 - samples/sec: 11778.91 - lr: 0.100000 +2023-04-05 11:30:44,728 epoch 4 - iter 224/280 - loss 0.13479738 - time (sec): 14.36 - samples/sec: 11773.31 - lr: 0.100000 +2023-04-05 11:30:46,561 epoch 4 - iter 252/280 - loss 0.13301677 - time (sec): 16.19 - samples/sec: 11780.00 - lr: 0.100000 +2023-04-05 11:30:48,327 epoch 4 - iter 280/280 - loss 0.13254673 - time (sec): 17.96 - samples/sec: 11789.74 - lr: 0.100000 +2023-04-05 11:30:48,327 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:30:48,327 EPOCH 4 done: loss 0.1325 - lr 0.100000 +2023-04-05 11:30:48,327 BAD EPOCHS (no improvement): 0 +2023-04-05 11:30:48,330 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:30:50,128 epoch 5 - iter 28/280 - loss 0.12537979 - time (sec): 1.80 - samples/sec: 11431.83 - lr: 0.100000 +2023-04-05 11:30:51,955 epoch 5 - iter 56/280 - loss 0.12291704 - time (sec): 3.63 - samples/sec: 11609.58 - lr: 0.100000 +2023-04-05 11:30:53,744 epoch 5 - iter 84/280 - loss 0.11978898 - time (sec): 5.41 - samples/sec: 11717.65 - lr: 0.100000 +2023-04-05 11:30:55,531 epoch 5 - iter 112/280 - loss 0.11880713 - time (sec): 7.20 - samples/sec: 11688.63 - lr: 0.100000 +2023-04-05 11:30:57,348 epoch 5 - iter 140/280 - loss 0.11870187 - time (sec): 9.02 - samples/sec: 11686.40 - lr: 0.100000 +2023-04-05 11:30:59,163 epoch 5 - iter 168/280 - loss 0.11853175 - time (sec): 10.83 - samples/sec: 11685.86 - lr: 0.100000 +2023-04-05 11:31:00,955 epoch 5 - iter 196/280 - loss 0.11923794 - time (sec): 12.63 - samples/sec: 11701.98 - lr: 0.100000 +2023-04-05 11:31:02,891 epoch 5 - iter 224/280 - loss 0.11909223 - time (sec): 14.56 - samples/sec: 11623.20 - lr: 0.100000 +2023-04-05 11:31:04,734 epoch 5 - iter 252/280 - loss 0.11794536 - time (sec): 16.40 - samples/sec: 11633.82 - lr: 0.100000 +2023-04-05 11:31:06,505 epoch 5 - iter 280/280 - loss 0.11774263 - time (sec): 18.18 - samples/sec: 11647.06 - lr: 0.100000 +2023-04-05 11:31:06,505 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:31:06,505 EPOCH 5 done: loss 0.1177 - lr 0.100000 +2023-04-05 11:31:06,505 BAD EPOCHS (no improvement): 0 +2023-04-05 11:31:06,508 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:31:08,257 epoch 6 - iter 28/280 - loss 0.10801801 - time (sec): 1.75 - samples/sec: 11894.68 - lr: 0.100000 +2023-04-05 11:31:10,057 epoch 6 - iter 56/280 - loss 0.10536099 - time (sec): 3.55 - samples/sec: 11890.34 - lr: 0.100000 +2023-04-05 11:31:11,853 epoch 6 - iter 84/280 - loss 0.10593172 - time (sec): 5.34 - samples/sec: 11855.36 - lr: 0.100000 +2023-04-05 11:31:13,642 epoch 6 - iter 112/280 - loss 0.10568821 - time (sec): 7.13 - samples/sec: 11912.10 - lr: 0.100000 +2023-04-05 11:31:15,482 epoch 6 - iter 140/280 - loss 0.10486267 - time (sec): 8.97 - samples/sec: 11865.52 - lr: 0.100000 +2023-04-05 11:31:17,306 epoch 6 - iter 168/280 - loss 0.10671355 - time (sec): 10.80 - samples/sec: 11840.71 - lr: 0.100000 +2023-04-05 11:31:19,103 epoch 6 - iter 196/280 - loss 0.10612224 - time (sec): 12.59 - samples/sec: 11813.09 - lr: 0.100000 +2023-04-05 11:31:20,911 epoch 6 - iter 224/280 - loss 0.10697215 - time (sec): 14.40 - samples/sec: 11805.82 - lr: 0.100000 +2023-04-05 11:31:22,703 epoch 6 - iter 252/280 - loss 0.10663050 - time (sec): 16.19 - samples/sec: 11796.44 - lr: 0.100000 +2023-04-05 11:31:24,415 epoch 6 - iter 280/280 - loss 0.10712894 - time (sec): 17.91 - samples/sec: 11821.96 - lr: 0.100000 +2023-04-05 11:31:24,415 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:31:24,415 EPOCH 6 done: loss 0.1071 - lr 0.100000 +2023-04-05 11:31:24,416 BAD EPOCHS (no improvement): 0 +2023-04-05 11:31:24,418 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:31:26,222 epoch 7 - iter 28/280 - loss 0.10256719 - time (sec): 1.80 - samples/sec: 12127.62 - lr: 0.100000 +2023-04-05 11:31:27,993 epoch 7 - iter 56/280 - loss 0.10351566 - time (sec): 3.57 - samples/sec: 12053.90 - lr: 0.100000 +2023-04-05 11:31:29,792 epoch 7 - iter 84/280 - loss 0.10268535 - time (sec): 5.37 - samples/sec: 11992.86 - lr: 0.100000 +2023-04-05 11:31:31,574 epoch 7 - iter 112/280 - loss 0.10340487 - time (sec): 7.16 - samples/sec: 11931.98 - lr: 0.100000 +2023-04-05 11:31:33,397 epoch 7 - iter 140/280 - loss 0.10325865 - time (sec): 8.98 - samples/sec: 11884.65 - lr: 0.100000 +2023-04-05 11:31:35,220 epoch 7 - iter 168/280 - loss 0.10161036 - time (sec): 10.80 - samples/sec: 11818.19 - lr: 0.100000 +2023-04-05 11:31:36,970 epoch 7 - iter 196/280 - loss 0.10121591 - time (sec): 12.55 - samples/sec: 11836.74 - lr: 0.100000 +2023-04-05 11:31:38,814 epoch 7 - iter 224/280 - loss 0.10067595 - time (sec): 14.40 - samples/sec: 11793.36 - lr: 0.100000 +2023-04-05 11:31:40,682 epoch 7 - iter 252/280 - loss 0.10019403 - time (sec): 16.26 - samples/sec: 11766.37 - lr: 0.100000 +2023-04-05 11:31:42,426 epoch 7 - iter 280/280 - loss 0.10001916 - time (sec): 18.01 - samples/sec: 11755.30 - lr: 0.100000 +2023-04-05 11:31:42,427 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:31:42,427 EPOCH 7 done: loss 0.1000 - lr 0.100000 +2023-04-05 11:31:42,427 BAD EPOCHS (no improvement): 0 +2023-04-05 11:31:42,430 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:31:44,225 epoch 8 - iter 28/280 - loss 0.08849263 - time (sec): 1.80 - samples/sec: 11727.64 - lr: 0.100000 +2023-04-05 11:31:46,035 epoch 8 - iter 56/280 - loss 0.09232933 - time (sec): 3.60 - samples/sec: 11868.37 - lr: 0.100000 +2023-04-05 11:31:47,863 epoch 8 - iter 84/280 - loss 0.09227452 - time (sec): 5.43 - samples/sec: 11817.83 - lr: 0.100000 +2023-04-05 11:31:49,637 epoch 8 - iter 112/280 - loss 0.09299395 - time (sec): 7.21 - samples/sec: 11913.64 - lr: 0.100000 +2023-04-05 11:31:51,441 epoch 8 - iter 140/280 - loss 0.09202120 - time (sec): 9.01 - samples/sec: 11861.14 - lr: 0.100000 +2023-04-05 11:31:53,117 epoch 8 - iter 168/280 - loss 0.09216183 - time (sec): 10.69 - samples/sec: 11887.35 - lr: 0.100000 +2023-04-05 11:31:54,910 epoch 8 - iter 196/280 - loss 0.09194170 - time (sec): 12.48 - samples/sec: 11868.36 - lr: 0.100000 +2023-04-05 11:31:56,734 epoch 8 - iter 224/280 - loss 0.09123647 - time (sec): 14.30 - samples/sec: 11844.22 - lr: 0.100000 +2023-04-05 11:31:58,628 epoch 8 - iter 252/280 - loss 0.09127536 - time (sec): 16.20 - samples/sec: 11809.29 - lr: 0.100000 +2023-04-05 11:32:00,394 epoch 8 - iter 280/280 - loss 0.09166344 - time (sec): 17.96 - samples/sec: 11784.09 - lr: 0.100000 +2023-04-05 11:32:00,395 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:00,395 EPOCH 8 done: loss 0.0917 - lr 0.100000 +2023-04-05 11:32:00,395 BAD EPOCHS (no improvement): 0 +2023-04-05 11:32:00,397 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:02,250 epoch 9 - iter 28/280 - loss 0.08691646 - time (sec): 1.85 - samples/sec: 11541.27 - lr: 0.100000 +2023-04-05 11:32:04,097 epoch 9 - iter 56/280 - loss 0.08739923 - time (sec): 3.70 - samples/sec: 11396.09 - lr: 0.100000 +2023-04-05 11:32:05,937 epoch 9 - iter 84/280 - loss 0.08610714 - time (sec): 5.54 - samples/sec: 11526.95 - lr: 0.100000 +2023-04-05 11:32:07,775 epoch 9 - iter 112/280 - loss 0.08638211 - time (sec): 7.38 - samples/sec: 11570.04 - lr: 0.100000 +2023-04-05 11:32:09,594 epoch 9 - iter 140/280 - loss 0.08613884 - time (sec): 9.20 - samples/sec: 11595.80 - lr: 0.100000 +2023-04-05 11:32:11,380 epoch 9 - iter 168/280 - loss 0.08523617 - time (sec): 10.98 - samples/sec: 11614.54 - lr: 0.100000 +2023-04-05 11:32:13,220 epoch 9 - iter 196/280 - loss 0.08655958 - time (sec): 12.82 - samples/sec: 11599.92 - lr: 0.100000 +2023-04-05 11:32:15,104 epoch 9 - iter 224/280 - loss 0.08703691 - time (sec): 14.71 - samples/sec: 11585.91 - lr: 0.100000 +2023-04-05 11:32:16,878 epoch 9 - iter 252/280 - loss 0.08710248 - time (sec): 16.48 - samples/sec: 11595.87 - lr: 0.100000 +2023-04-05 11:32:18,643 epoch 9 - iter 280/280 - loss 0.08699147 - time (sec): 18.25 - samples/sec: 11602.48 - lr: 0.100000 +2023-04-05 11:32:18,643 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:18,643 EPOCH 9 done: loss 0.0870 - lr 0.100000 +2023-04-05 11:32:18,643 BAD EPOCHS (no improvement): 0 +2023-04-05 11:32:18,647 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:20,427 epoch 10 - iter 28/280 - loss 0.08535297 - time (sec): 1.78 - samples/sec: 11948.04 - lr: 0.100000 +2023-04-05 11:32:22,196 epoch 10 - iter 56/280 - loss 0.08225209 - time (sec): 3.55 - samples/sec: 11858.92 - lr: 0.100000 +2023-04-05 11:32:24,001 epoch 10 - iter 84/280 - loss 0.08155333 - time (sec): 5.35 - samples/sec: 11868.84 - lr: 0.100000 +2023-04-05 11:32:25,771 epoch 10 - iter 112/280 - loss 0.08096331 - time (sec): 7.12 - samples/sec: 11912.14 - lr: 0.100000 +2023-04-05 11:32:27,573 epoch 10 - iter 140/280 - loss 0.08188113 - time (sec): 8.93 - samples/sec: 11910.16 - lr: 0.100000 +2023-04-05 11:32:29,400 epoch 10 - iter 168/280 - loss 0.08212457 - time (sec): 10.75 - samples/sec: 11849.47 - lr: 0.100000 +2023-04-05 11:32:31,185 epoch 10 - iter 196/280 - loss 0.08269054 - time (sec): 12.54 - samples/sec: 11829.85 - lr: 0.100000 +2023-04-05 11:32:33,060 epoch 10 - iter 224/280 - loss 0.08137674 - time (sec): 14.41 - samples/sec: 11793.96 - lr: 0.100000 +2023-04-05 11:32:34,796 epoch 10 - iter 252/280 - loss 0.08172281 - time (sec): 16.15 - samples/sec: 11838.84 - lr: 0.100000 +2023-04-05 11:32:36,527 epoch 10 - iter 280/280 - loss 0.08182399 - time (sec): 17.88 - samples/sec: 11839.46 - lr: 0.100000 +2023-04-05 11:32:36,527 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:36,527 EPOCH 10 done: loss 0.0818 - lr 0.100000 +2023-04-05 11:32:36,528 BAD EPOCHS (no improvement): 0 +2023-04-05 11:32:36,531 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:38,288 epoch 11 - iter 28/280 - loss 0.07156185 - time (sec): 1.76 - samples/sec: 12189.09 - lr: 0.100000 +2023-04-05 11:32:40,074 epoch 11 - iter 56/280 - loss 0.07200991 - time (sec): 3.54 - samples/sec: 11957.20 - lr: 0.100000 +2023-04-05 11:32:41,935 epoch 11 - iter 84/280 - loss 0.07392035 - time (sec): 5.40 - samples/sec: 11782.18 - lr: 0.100000 +2023-04-05 11:32:43,701 epoch 11 - iter 112/280 - loss 0.07559662 - time (sec): 7.17 - samples/sec: 11808.79 - lr: 0.100000 +2023-04-05 11:32:45,544 epoch 11 - iter 140/280 - loss 0.07517000 - time (sec): 9.01 - samples/sec: 11760.89 - lr: 0.100000 +2023-04-05 11:32:47,398 epoch 11 - iter 168/280 - loss 0.07561808 - time (sec): 10.87 - samples/sec: 11698.21 - lr: 0.100000 +2023-04-05 11:32:49,244 epoch 11 - iter 196/280 - loss 0.07684873 - time (sec): 12.71 - samples/sec: 11666.50 - lr: 0.100000 +2023-04-05 11:32:51,090 epoch 11 - iter 224/280 - loss 0.07733744 - time (sec): 14.56 - samples/sec: 11670.83 - lr: 0.100000 +2023-04-05 11:32:52,871 epoch 11 - iter 252/280 - loss 0.07693746 - time (sec): 16.34 - samples/sec: 11691.73 - lr: 0.100000 +2023-04-05 11:32:54,614 epoch 11 - iter 280/280 - loss 0.07701976 - time (sec): 18.08 - samples/sec: 11706.81 - lr: 0.100000 +2023-04-05 11:32:54,614 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:54,614 EPOCH 11 done: loss 0.0770 - lr 0.100000 +2023-04-05 11:32:54,614 BAD EPOCHS (no improvement): 0 +2023-04-05 11:32:54,617 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:32:56,400 epoch 12 - iter 28/280 - loss 0.07852467 - time (sec): 1.78 - samples/sec: 12119.72 - lr: 0.100000 +2023-04-05 11:32:58,132 epoch 12 - iter 56/280 - loss 0.07356340 - time (sec): 3.51 - samples/sec: 12017.71 - lr: 0.100000 +2023-04-05 11:32:59,959 epoch 12 - iter 84/280 - loss 0.07042798 - time (sec): 5.34 - samples/sec: 11975.28 - lr: 0.100000 +2023-04-05 11:33:01,732 epoch 12 - iter 112/280 - loss 0.07134553 - time (sec): 7.12 - samples/sec: 11931.58 - lr: 0.100000 +2023-04-05 11:33:03,583 epoch 12 - iter 140/280 - loss 0.07158955 - time (sec): 8.97 - samples/sec: 11865.90 - lr: 0.100000 +2023-04-05 11:33:06,726 epoch 12 - iter 168/280 - loss 0.07262901 - time (sec): 12.11 - samples/sec: 10551.86 - lr: 0.100000 +2023-04-05 11:33:08,550 epoch 12 - iter 196/280 - loss 0.07252849 - time (sec): 13.93 - samples/sec: 10721.54 - lr: 0.100000 +2023-04-05 11:33:10,301 epoch 12 - iter 224/280 - loss 0.07348081 - time (sec): 15.68 - samples/sec: 10853.72 - lr: 0.100000 +2023-04-05 11:33:12,090 epoch 12 - iter 252/280 - loss 0.07351550 - time (sec): 17.47 - samples/sec: 10951.22 - lr: 0.100000 +2023-04-05 11:33:13,763 epoch 12 - iter 280/280 - loss 0.07405583 - time (sec): 19.15 - samples/sec: 11056.70 - lr: 0.100000 +2023-04-05 11:33:13,763 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:33:13,763 EPOCH 12 done: loss 0.0741 - lr 0.100000 +2023-04-05 11:33:13,764 BAD EPOCHS (no improvement): 0 +2023-04-05 11:33:13,766 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:33:15,580 epoch 13 - iter 28/280 - loss 0.06782838 - time (sec): 1.81 - samples/sec: 11959.83 - lr: 0.100000 +2023-04-05 11:33:17,339 epoch 13 - iter 56/280 - loss 0.07030787 - time (sec): 3.57 - samples/sec: 11861.03 - lr: 0.100000 +2023-04-05 11:33:19,117 epoch 13 - iter 84/280 - loss 0.07030536 - time (sec): 5.35 - samples/sec: 11829.81 - lr: 0.100000 +2023-04-05 11:33:21,039 epoch 13 - iter 112/280 - loss 0.07025503 - time (sec): 7.27 - samples/sec: 11750.55 - lr: 0.100000 +2023-04-05 11:33:22,846 epoch 13 - iter 140/280 - loss 0.07055923 - time (sec): 9.08 - samples/sec: 11789.86 - lr: 0.100000 +2023-04-05 11:33:24,670 epoch 13 - iter 168/280 - loss 0.06975797 - time (sec): 10.90 - samples/sec: 11769.79 - lr: 0.100000 +2023-04-05 11:33:26,470 epoch 13 - iter 196/280 - loss 0.07023482 - time (sec): 12.70 - samples/sec: 11766.83 - lr: 0.100000 +2023-04-05 11:33:28,217 epoch 13 - iter 224/280 - loss 0.07091191 - time (sec): 14.45 - samples/sec: 11756.14 - lr: 0.100000 +2023-04-05 11:33:30,052 epoch 13 - iter 252/280 - loss 0.07062376 - time (sec): 16.29 - samples/sec: 11744.18 - lr: 0.100000 +2023-04-05 11:33:31,768 epoch 13 - iter 280/280 - loss 0.07032591 - time (sec): 18.00 - samples/sec: 11759.28 - lr: 0.100000 +2023-04-05 11:33:31,769 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:33:31,769 EPOCH 13 done: loss 0.0703 - lr 0.100000 +2023-04-05 11:33:31,769 BAD EPOCHS (no improvement): 0 +2023-04-05 11:33:31,772 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:33:33,600 epoch 14 - iter 28/280 - loss 0.07117781 - time (sec): 1.83 - samples/sec: 11609.76 - lr: 0.100000 +2023-04-05 11:33:35,435 epoch 14 - iter 56/280 - loss 0.06757552 - time (sec): 3.66 - samples/sec: 11617.06 - lr: 0.100000 +2023-04-05 11:33:37,265 epoch 14 - iter 84/280 - loss 0.06749817 - time (sec): 5.49 - samples/sec: 11710.48 - lr: 0.100000 +2023-04-05 11:33:39,018 epoch 14 - iter 112/280 - loss 0.06813775 - time (sec): 7.25 - samples/sec: 11720.08 - lr: 0.100000 +2023-04-05 11:33:40,814 epoch 14 - iter 140/280 - loss 0.06788856 - time (sec): 9.04 - samples/sec: 11699.16 - lr: 0.100000 +2023-04-05 11:33:42,579 epoch 14 - iter 168/280 - loss 0.06731170 - time (sec): 10.81 - samples/sec: 11767.24 - lr: 0.100000 +2023-04-05 11:33:44,381 epoch 14 - iter 196/280 - loss 0.06638080 - time (sec): 12.61 - samples/sec: 11750.60 - lr: 0.100000 +2023-04-05 11:33:46,167 epoch 14 - iter 224/280 - loss 0.06650452 - time (sec): 14.39 - samples/sec: 11756.55 - lr: 0.100000 +2023-04-05 11:33:47,990 epoch 14 - iter 252/280 - loss 0.06709942 - time (sec): 16.22 - samples/sec: 11752.33 - lr: 0.100000 +2023-04-05 11:33:49,736 epoch 14 - iter 280/280 - loss 0.06682125 - time (sec): 17.96 - samples/sec: 11784.56 - lr: 0.100000 +2023-04-05 11:33:49,736 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:33:49,736 EPOCH 14 done: loss 0.0668 - lr 0.100000 +2023-04-05 11:33:49,736 BAD EPOCHS (no improvement): 0 +2023-04-05 11:33:49,739 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:33:51,533 epoch 15 - iter 28/280 - loss 0.06164767 - time (sec): 1.79 - samples/sec: 11630.68 - lr: 0.100000 +2023-04-05 11:33:53,314 epoch 15 - iter 56/280 - loss 0.06217384 - time (sec): 3.58 - samples/sec: 11862.10 - lr: 0.100000 +2023-04-05 11:33:55,129 epoch 15 - iter 84/280 - loss 0.06421412 - time (sec): 5.39 - samples/sec: 11809.56 - lr: 0.100000 +2023-04-05 11:33:56,965 epoch 15 - iter 112/280 - loss 0.06330052 - time (sec): 7.23 - samples/sec: 11802.89 - lr: 0.100000 +2023-04-05 11:33:58,798 epoch 15 - iter 140/280 - loss 0.06302798 - time (sec): 9.06 - samples/sec: 11713.93 - lr: 0.100000 +2023-04-05 11:34:00,606 epoch 15 - iter 168/280 - loss 0.06315935 - time (sec): 10.87 - samples/sec: 11696.09 - lr: 0.100000 +2023-04-05 11:34:02,382 epoch 15 - iter 196/280 - loss 0.06322420 - time (sec): 12.64 - samples/sec: 11717.82 - lr: 0.100000 +2023-04-05 11:34:04,205 epoch 15 - iter 224/280 - loss 0.06382788 - time (sec): 14.47 - samples/sec: 11713.74 - lr: 0.100000 +2023-04-05 11:34:06,017 epoch 15 - iter 252/280 - loss 0.06386257 - time (sec): 16.28 - samples/sec: 11711.88 - lr: 0.100000 +2023-04-05 11:34:07,788 epoch 15 - iter 280/280 - loss 0.06432687 - time (sec): 18.05 - samples/sec: 11728.90 - lr: 0.100000 +2023-04-05 11:34:07,788 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:34:07,788 EPOCH 15 done: loss 0.0643 - lr 0.100000 +2023-04-05 11:34:07,788 BAD EPOCHS (no improvement): 0 +2023-04-05 11:34:07,791 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:34:09,596 epoch 16 - iter 28/280 - loss 0.06262701 - time (sec): 1.80 - samples/sec: 11828.01 - lr: 0.100000 +2023-04-05 11:34:11,429 epoch 16 - iter 56/280 - loss 0.06408094 - time (sec): 3.64 - samples/sec: 11646.70 - lr: 0.100000 +2023-04-05 11:34:13,212 epoch 16 - iter 84/280 - loss 0.06321444 - time (sec): 5.42 - samples/sec: 11726.49 - lr: 0.100000 +2023-04-05 11:34:15,000 epoch 16 - iter 112/280 - loss 0.06311591 - time (sec): 7.21 - samples/sec: 11727.57 - lr: 0.100000 +2023-04-05 11:34:16,796 epoch 16 - iter 140/280 - loss 0.06314014 - time (sec): 9.00 - samples/sec: 11800.46 - lr: 0.100000 +2023-04-05 11:34:18,600 epoch 16 - iter 168/280 - loss 0.06342748 - time (sec): 10.81 - samples/sec: 11798.24 - lr: 0.100000 +2023-04-05 11:34:20,375 epoch 16 - iter 196/280 - loss 0.06338833 - time (sec): 12.58 - samples/sec: 11844.19 - lr: 0.100000 +2023-04-05 11:34:22,158 epoch 16 - iter 224/280 - loss 0.06271106 - time (sec): 14.37 - samples/sec: 11832.71 - lr: 0.100000 +2023-04-05 11:34:23,943 epoch 16 - iter 252/280 - loss 0.06257842 - time (sec): 16.15 - samples/sec: 11825.27 - lr: 0.100000 +2023-04-05 11:34:25,716 epoch 16 - iter 280/280 - loss 0.06212692 - time (sec): 17.93 - samples/sec: 11809.79 - lr: 0.100000 +2023-04-05 11:34:25,717 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:34:25,717 EPOCH 16 done: loss 0.0621 - lr 0.100000 +2023-04-05 11:34:25,717 BAD EPOCHS (no improvement): 0 +2023-04-05 11:34:25,720 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:34:27,508 epoch 17 - iter 28/280 - loss 0.05288342 - time (sec): 1.79 - samples/sec: 11609.24 - lr: 0.100000 +2023-04-05 11:34:29,286 epoch 17 - iter 56/280 - loss 0.05480018 - time (sec): 3.57 - samples/sec: 11868.54 - lr: 0.100000 +2023-04-05 11:34:31,110 epoch 17 - iter 84/280 - loss 0.05705219 - time (sec): 5.39 - samples/sec: 11852.73 - lr: 0.100000 +2023-04-05 11:34:33,001 epoch 17 - iter 112/280 - loss 0.05931561 - time (sec): 7.28 - samples/sec: 11726.22 - lr: 0.100000 +2023-04-05 11:34:34,797 epoch 17 - iter 140/280 - loss 0.05948492 - time (sec): 9.08 - samples/sec: 11741.35 - lr: 0.100000 +2023-04-05 11:34:36,620 epoch 17 - iter 168/280 - loss 0.05906552 - time (sec): 10.90 - samples/sec: 11687.50 - lr: 0.100000 +2023-04-05 11:34:38,479 epoch 17 - iter 196/280 - loss 0.05925180 - time (sec): 12.76 - samples/sec: 11668.79 - lr: 0.100000 +2023-04-05 11:34:40,227 epoch 17 - iter 224/280 - loss 0.05954558 - time (sec): 14.51 - samples/sec: 11691.53 - lr: 0.100000 +2023-04-05 11:34:42,071 epoch 17 - iter 252/280 - loss 0.05948937 - time (sec): 16.35 - samples/sec: 11687.91 - lr: 0.100000 +2023-04-05 11:34:43,825 epoch 17 - iter 280/280 - loss 0.05899674 - time (sec): 18.11 - samples/sec: 11692.31 - lr: 0.100000 +2023-04-05 11:34:43,825 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:34:43,825 EPOCH 17 done: loss 0.0590 - lr 0.100000 +2023-04-05 11:34:43,825 BAD EPOCHS (no improvement): 0 +2023-04-05 11:34:43,828 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:34:45,643 epoch 18 - iter 28/280 - loss 0.05825112 - time (sec): 1.81 - samples/sec: 11393.99 - lr: 0.100000 +2023-04-05 11:34:47,447 epoch 18 - iter 56/280 - loss 0.05855799 - time (sec): 3.62 - samples/sec: 11555.67 - lr: 0.100000 +2023-04-05 11:34:49,212 epoch 18 - iter 84/280 - loss 0.05819408 - time (sec): 5.38 - samples/sec: 11687.96 - lr: 0.100000 +2023-04-05 11:34:51,012 epoch 18 - iter 112/280 - loss 0.05842853 - time (sec): 7.18 - samples/sec: 11698.82 - lr: 0.100000 +2023-04-05 11:34:52,817 epoch 18 - iter 140/280 - loss 0.05969303 - time (sec): 8.99 - samples/sec: 11733.02 - lr: 0.100000 +2023-04-05 11:34:54,550 epoch 18 - iter 168/280 - loss 0.05938442 - time (sec): 10.72 - samples/sec: 11794.60 - lr: 0.100000 +2023-04-05 11:34:56,337 epoch 18 - iter 196/280 - loss 0.05886669 - time (sec): 12.51 - samples/sec: 11803.83 - lr: 0.100000 +2023-04-05 11:34:58,157 epoch 18 - iter 224/280 - loss 0.05813409 - time (sec): 14.33 - samples/sec: 11807.20 - lr: 0.100000 +2023-04-05 11:35:00,015 epoch 18 - iter 252/280 - loss 0.05876983 - time (sec): 16.19 - samples/sec: 11774.36 - lr: 0.100000 +2023-04-05 11:35:01,856 epoch 18 - iter 280/280 - loss 0.05829040 - time (sec): 18.03 - samples/sec: 11742.40 - lr: 0.100000 +2023-04-05 11:35:01,856 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:01,856 EPOCH 18 done: loss 0.0583 - lr 0.100000 +2023-04-05 11:35:01,856 BAD EPOCHS (no improvement): 0 +2023-04-05 11:35:01,859 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:03,648 epoch 19 - iter 28/280 - loss 0.05283264 - time (sec): 1.79 - samples/sec: 11861.88 - lr: 0.100000 +2023-04-05 11:35:05,399 epoch 19 - iter 56/280 - loss 0.05393442 - time (sec): 3.54 - samples/sec: 11919.42 - lr: 0.100000 +2023-04-05 11:35:07,216 epoch 19 - iter 84/280 - loss 0.05440639 - time (sec): 5.36 - samples/sec: 11911.11 - lr: 0.100000 +2023-04-05 11:35:09,008 epoch 19 - iter 112/280 - loss 0.05531663 - time (sec): 7.15 - samples/sec: 11909.93 - lr: 0.100000 +2023-04-05 11:35:10,840 epoch 19 - iter 140/280 - loss 0.05565688 - time (sec): 8.98 - samples/sec: 11841.81 - lr: 0.100000 +2023-04-05 11:35:12,599 epoch 19 - iter 168/280 - loss 0.05529086 - time (sec): 10.74 - samples/sec: 11830.34 - lr: 0.100000 +2023-04-05 11:35:14,463 epoch 19 - iter 196/280 - loss 0.05545870 - time (sec): 12.60 - samples/sec: 11799.00 - lr: 0.100000 +2023-04-05 11:35:16,261 epoch 19 - iter 224/280 - loss 0.05566567 - time (sec): 14.40 - samples/sec: 11790.06 - lr: 0.100000 +2023-04-05 11:35:18,080 epoch 19 - iter 252/280 - loss 0.05539139 - time (sec): 16.22 - samples/sec: 11789.98 - lr: 0.100000 +2023-04-05 11:35:19,860 epoch 19 - iter 280/280 - loss 0.05608728 - time (sec): 18.00 - samples/sec: 11759.72 - lr: 0.100000 +2023-04-05 11:35:19,861 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:19,861 EPOCH 19 done: loss 0.0561 - lr 0.100000 +2023-04-05 11:35:19,861 BAD EPOCHS (no improvement): 0 +2023-04-05 11:35:19,863 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:21,682 epoch 20 - iter 28/280 - loss 0.05218948 - time (sec): 1.82 - samples/sec: 11864.34 - lr: 0.100000 +2023-04-05 11:35:23,429 epoch 20 - iter 56/280 - loss 0.05439578 - time (sec): 3.57 - samples/sec: 11775.62 - lr: 0.100000 +2023-04-05 11:35:25,252 epoch 20 - iter 84/280 - loss 0.05408566 - time (sec): 5.39 - samples/sec: 11811.45 - lr: 0.100000 +2023-04-05 11:35:27,093 epoch 20 - iter 112/280 - loss 0.05399655 - time (sec): 7.23 - samples/sec: 11838.21 - lr: 0.100000 +2023-04-05 11:35:28,853 epoch 20 - iter 140/280 - loss 0.05421216 - time (sec): 8.99 - samples/sec: 11840.90 - lr: 0.100000 +2023-04-05 11:35:30,569 epoch 20 - iter 168/280 - loss 0.05381559 - time (sec): 10.71 - samples/sec: 11886.54 - lr: 0.100000 +2023-04-05 11:35:32,406 epoch 20 - iter 196/280 - loss 0.05400375 - time (sec): 12.54 - samples/sec: 11866.18 - lr: 0.100000 +2023-04-05 11:35:34,260 epoch 20 - iter 224/280 - loss 0.05410216 - time (sec): 14.40 - samples/sec: 11851.80 - lr: 0.100000 +2023-04-05 11:35:36,025 epoch 20 - iter 252/280 - loss 0.05360529 - time (sec): 16.16 - samples/sec: 11823.32 - lr: 0.100000 +2023-04-05 11:35:37,750 epoch 20 - iter 280/280 - loss 0.05352429 - time (sec): 17.89 - samples/sec: 11835.02 - lr: 0.100000 +2023-04-05 11:35:37,751 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:37,751 EPOCH 20 done: loss 0.0535 - lr 0.100000 +2023-04-05 11:35:37,751 BAD EPOCHS (no improvement): 0 +2023-04-05 11:35:37,753 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:39,571 epoch 21 - iter 28/280 - loss 0.04843651 - time (sec): 1.82 - samples/sec: 11976.57 - lr: 0.100000 +2023-04-05 11:35:41,349 epoch 21 - iter 56/280 - loss 0.05169687 - time (sec): 3.60 - samples/sec: 11948.84 - lr: 0.100000 +2023-04-05 11:35:43,134 epoch 21 - iter 84/280 - loss 0.05002623 - time (sec): 5.38 - samples/sec: 11953.90 - lr: 0.100000 +2023-04-05 11:35:44,933 epoch 21 - iter 112/280 - loss 0.05033864 - time (sec): 7.18 - samples/sec: 11975.88 - lr: 0.100000 +2023-04-05 11:35:46,748 epoch 21 - iter 140/280 - loss 0.05125730 - time (sec): 8.99 - samples/sec: 11935.95 - lr: 0.100000 +2023-04-05 11:35:48,512 epoch 21 - iter 168/280 - loss 0.05090290 - time (sec): 10.76 - samples/sec: 11926.32 - lr: 0.100000 +2023-04-05 11:35:50,313 epoch 21 - iter 196/280 - loss 0.05134009 - time (sec): 12.56 - samples/sec: 11917.05 - lr: 0.100000 +2023-04-05 11:35:52,116 epoch 21 - iter 224/280 - loss 0.05141356 - time (sec): 14.36 - samples/sec: 11898.55 - lr: 0.100000 +2023-04-05 11:35:53,893 epoch 21 - iter 252/280 - loss 0.05179103 - time (sec): 16.14 - samples/sec: 11859.25 - lr: 0.100000 +2023-04-05 11:35:55,614 epoch 21 - iter 280/280 - loss 0.05202194 - time (sec): 17.86 - samples/sec: 11852.58 - lr: 0.100000 +2023-04-05 11:35:55,614 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:55,614 EPOCH 21 done: loss 0.0520 - lr 0.100000 +2023-04-05 11:35:55,614 BAD EPOCHS (no improvement): 0 +2023-04-05 11:35:55,617 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:35:57,426 epoch 22 - iter 28/280 - loss 0.05265036 - time (sec): 1.81 - samples/sec: 11809.34 - lr: 0.100000 +2023-04-05 11:35:59,213 epoch 22 - iter 56/280 - loss 0.05228089 - time (sec): 3.60 - samples/sec: 11790.63 - lr: 0.100000 +2023-04-05 11:36:00,990 epoch 22 - iter 84/280 - loss 0.05085628 - time (sec): 5.37 - samples/sec: 11832.29 - lr: 0.100000 +2023-04-05 11:36:02,793 epoch 22 - iter 112/280 - loss 0.05016075 - time (sec): 7.18 - samples/sec: 11827.93 - lr: 0.100000 +2023-04-05 11:36:04,557 epoch 22 - iter 140/280 - loss 0.05025752 - time (sec): 8.94 - samples/sec: 11881.74 - lr: 0.100000 +2023-04-05 11:36:06,352 epoch 22 - iter 168/280 - loss 0.05001551 - time (sec): 10.73 - samples/sec: 11869.36 - lr: 0.100000 +2023-04-05 11:36:08,162 epoch 22 - iter 196/280 - loss 0.05019254 - time (sec): 12.55 - samples/sec: 11875.55 - lr: 0.100000 +2023-04-05 11:36:09,933 epoch 22 - iter 224/280 - loss 0.05035007 - time (sec): 14.32 - samples/sec: 11856.65 - lr: 0.100000 +2023-04-05 11:36:11,752 epoch 22 - iter 252/280 - loss 0.04997119 - time (sec): 16.14 - samples/sec: 11859.88 - lr: 0.100000 +2023-04-05 11:36:13,507 epoch 22 - iter 280/280 - loss 0.04996262 - time (sec): 17.89 - samples/sec: 11832.64 - lr: 0.100000 +2023-04-05 11:36:13,508 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:36:13,508 EPOCH 22 done: loss 0.0500 - lr 0.100000 +2023-04-05 11:36:13,508 BAD EPOCHS (no improvement): 0 +2023-04-05 11:36:13,510 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:36:15,315 epoch 23 - iter 28/280 - loss 0.04413645 - time (sec): 1.80 - samples/sec: 12073.50 - lr: 0.100000 +2023-04-05 11:36:17,041 epoch 23 - iter 56/280 - loss 0.04875877 - time (sec): 3.53 - samples/sec: 12101.00 - lr: 0.100000 +2023-04-05 11:36:18,832 epoch 23 - iter 84/280 - loss 0.04898522 - time (sec): 5.32 - samples/sec: 12026.44 - lr: 0.100000 +2023-04-05 11:36:20,638 epoch 23 - iter 112/280 - loss 0.04899564 - time (sec): 7.13 - samples/sec: 11926.44 - lr: 0.100000 +2023-04-05 11:36:22,493 epoch 23 - iter 140/280 - loss 0.04896253 - time (sec): 8.98 - samples/sec: 11880.38 - lr: 0.100000 +2023-04-05 11:36:24,290 epoch 23 - iter 168/280 - loss 0.04848346 - time (sec): 10.78 - samples/sec: 11869.02 - lr: 0.100000 +2023-04-05 11:36:26,066 epoch 23 - iter 196/280 - loss 0.04878206 - time (sec): 12.56 - samples/sec: 11844.14 - lr: 0.100000 +2023-04-05 11:36:27,870 epoch 23 - iter 224/280 - loss 0.04872234 - time (sec): 14.36 - samples/sec: 11856.29 - lr: 0.100000 +2023-04-05 11:36:29,681 epoch 23 - iter 252/280 - loss 0.04921133 - time (sec): 16.17 - samples/sec: 11830.39 - lr: 0.100000 +2023-04-05 11:36:31,462 epoch 23 - iter 280/280 - loss 0.04937451 - time (sec): 17.95 - samples/sec: 11792.19 - lr: 0.100000 +2023-04-05 11:36:31,463 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:36:31,463 EPOCH 23 done: loss 0.0494 - lr 0.100000 +2023-04-05 11:36:31,463 BAD EPOCHS (no improvement): 0 +2023-04-05 11:36:31,465 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:36:33,286 epoch 24 - iter 28/280 - loss 0.04552134 - time (sec): 1.82 - samples/sec: 11836.10 - lr: 0.100000 +2023-04-05 11:36:35,051 epoch 24 - iter 56/280 - loss 0.04245978 - time (sec): 3.59 - samples/sec: 11851.03 - lr: 0.100000 +2023-04-05 11:36:36,883 epoch 24 - iter 84/280 - loss 0.04482955 - time (sec): 5.42 - samples/sec: 11776.35 - lr: 0.100000 +2023-04-05 11:36:38,691 epoch 24 - iter 112/280 - loss 0.04568848 - time (sec): 7.23 - samples/sec: 11749.75 - lr: 0.100000 +2023-04-05 11:36:40,537 epoch 24 - iter 140/280 - loss 0.04675023 - time (sec): 9.07 - samples/sec: 11723.74 - lr: 0.100000 +2023-04-05 11:36:42,277 epoch 24 - iter 168/280 - loss 0.04727348 - time (sec): 10.81 - samples/sec: 11816.75 - lr: 0.100000 +2023-04-05 11:36:44,027 epoch 24 - iter 196/280 - loss 0.04740621 - time (sec): 12.56 - samples/sec: 11812.06 - lr: 0.100000 +2023-04-05 11:36:45,809 epoch 24 - iter 224/280 - loss 0.04746922 - time (sec): 14.34 - samples/sec: 11843.15 - lr: 0.100000 +2023-04-05 11:36:47,572 epoch 24 - iter 252/280 - loss 0.04769287 - time (sec): 16.11 - samples/sec: 11853.42 - lr: 0.100000 +2023-04-05 11:36:49,355 epoch 24 - iter 280/280 - loss 0.04779525 - time (sec): 17.89 - samples/sec: 11833.34 - lr: 0.100000 +2023-04-05 11:36:49,355 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:36:49,355 EPOCH 24 done: loss 0.0478 - lr 0.100000 +2023-04-05 11:36:49,355 BAD EPOCHS (no improvement): 0 +2023-04-05 11:36:49,358 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:36:51,116 epoch 25 - iter 28/280 - loss 0.04124236 - time (sec): 1.76 - samples/sec: 11761.53 - lr: 0.100000 +2023-04-05 11:36:52,887 epoch 25 - iter 56/280 - loss 0.04181873 - time (sec): 3.53 - samples/sec: 11813.75 - lr: 0.100000 +2023-04-05 11:36:54,651 epoch 25 - iter 84/280 - loss 0.04423627 - time (sec): 5.29 - samples/sec: 11846.35 - lr: 0.100000 +2023-04-05 11:36:56,478 epoch 25 - iter 112/280 - loss 0.04517841 - time (sec): 7.12 - samples/sec: 11790.36 - lr: 0.100000 +2023-04-05 11:36:58,285 epoch 25 - iter 140/280 - loss 0.04565567 - time (sec): 8.93 - samples/sec: 11797.90 - lr: 0.100000 +2023-04-05 11:37:00,043 epoch 25 - iter 168/280 - loss 0.04520782 - time (sec): 10.69 - samples/sec: 11844.63 - lr: 0.100000 +2023-04-05 11:37:01,927 epoch 25 - iter 196/280 - loss 0.04512460 - time (sec): 12.57 - samples/sec: 11808.10 - lr: 0.100000 +2023-04-05 11:37:03,756 epoch 25 - iter 224/280 - loss 0.04511967 - time (sec): 14.40 - samples/sec: 11777.13 - lr: 0.100000 +2023-04-05 11:37:05,589 epoch 25 - iter 252/280 - loss 0.04524566 - time (sec): 16.23 - samples/sec: 11772.05 - lr: 0.100000 +2023-04-05 11:37:07,335 epoch 25 - iter 280/280 - loss 0.04590508 - time (sec): 17.98 - samples/sec: 11775.74 - lr: 0.100000 +2023-04-05 11:37:07,335 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:37:07,335 EPOCH 25 done: loss 0.0459 - lr 0.100000 +2023-04-05 11:37:07,335 BAD EPOCHS (no improvement): 0 +2023-04-05 11:37:07,338 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:37:09,132 epoch 26 - iter 28/280 - loss 0.04089327 - time (sec): 1.79 - samples/sec: 11935.93 - lr: 0.100000 +2023-04-05 11:37:10,911 epoch 26 - iter 56/280 - loss 0.04435597 - time (sec): 3.57 - samples/sec: 11817.77 - lr: 0.100000 +2023-04-05 11:37:12,717 epoch 26 - iter 84/280 - loss 0.04331287 - time (sec): 5.38 - samples/sec: 11709.68 - lr: 0.100000 +2023-04-05 11:37:14,522 epoch 26 - iter 112/280 - loss 0.04340537 - time (sec): 7.18 - samples/sec: 11739.55 - lr: 0.100000 +2023-04-05 11:37:16,273 epoch 26 - iter 140/280 - loss 0.04434313 - time (sec): 8.94 - samples/sec: 11756.57 - lr: 0.100000 +2023-04-05 11:37:18,075 epoch 26 - iter 168/280 - loss 0.04410324 - time (sec): 10.74 - samples/sec: 11791.15 - lr: 0.100000 +2023-04-05 11:37:19,845 epoch 26 - iter 196/280 - loss 0.04412420 - time (sec): 12.51 - samples/sec: 11819.23 - lr: 0.100000 +2023-04-05 11:37:21,630 epoch 26 - iter 224/280 - loss 0.04430673 - time (sec): 14.29 - samples/sec: 11817.98 - lr: 0.100000 +2023-04-05 11:37:23,436 epoch 26 - iter 252/280 - loss 0.04446632 - time (sec): 16.10 - samples/sec: 11821.47 - lr: 0.100000 +2023-04-05 11:37:25,257 epoch 26 - iter 280/280 - loss 0.04501354 - time (sec): 17.92 - samples/sec: 11813.76 - lr: 0.100000 +2023-04-05 11:37:25,257 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:37:25,257 EPOCH 26 done: loss 0.0450 - lr 0.100000 +2023-04-05 11:37:25,257 BAD EPOCHS (no improvement): 0 +2023-04-05 11:37:25,260 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:37:27,025 epoch 27 - iter 28/280 - loss 0.03851357 - time (sec): 1.77 - samples/sec: 12051.51 - lr: 0.100000 +2023-04-05 11:37:28,838 epoch 27 - iter 56/280 - loss 0.04014540 - time (sec): 3.58 - samples/sec: 11914.90 - lr: 0.100000 +2023-04-05 11:37:30,664 epoch 27 - iter 84/280 - loss 0.04133777 - time (sec): 5.40 - samples/sec: 11789.93 - lr: 0.100000 +2023-04-05 11:37:32,408 epoch 27 - iter 112/280 - loss 0.04193196 - time (sec): 7.15 - samples/sec: 11846.44 - lr: 0.100000 +2023-04-05 11:37:34,182 epoch 27 - iter 140/280 - loss 0.04183586 - time (sec): 8.92 - samples/sec: 11863.34 - lr: 0.100000 +2023-04-05 11:37:35,977 epoch 27 - iter 168/280 - loss 0.04189724 - time (sec): 10.72 - samples/sec: 11884.31 - lr: 0.100000 +2023-04-05 11:37:37,810 epoch 27 - iter 196/280 - loss 0.04244932 - time (sec): 12.55 - samples/sec: 11857.76 - lr: 0.100000 +2023-04-05 11:37:39,646 epoch 27 - iter 224/280 - loss 0.04281068 - time (sec): 14.39 - samples/sec: 11790.05 - lr: 0.100000 +2023-04-05 11:37:41,440 epoch 27 - iter 252/280 - loss 0.04280542 - time (sec): 16.18 - samples/sec: 11783.33 - lr: 0.100000 +2023-04-05 11:37:43,228 epoch 27 - iter 280/280 - loss 0.04399544 - time (sec): 17.97 - samples/sec: 11781.91 - lr: 0.100000 +2023-04-05 11:37:43,228 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:37:43,228 EPOCH 27 done: loss 0.0440 - lr 0.100000 +2023-04-05 11:37:43,228 BAD EPOCHS (no improvement): 0 +2023-04-05 11:37:43,231 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:37:45,052 epoch 28 - iter 28/280 - loss 0.03782082 - time (sec): 1.82 - samples/sec: 11549.39 - lr: 0.100000 +2023-04-05 11:37:46,899 epoch 28 - iter 56/280 - loss 0.04120980 - time (sec): 3.67 - samples/sec: 11594.96 - lr: 0.100000 +2023-04-05 11:37:48,678 epoch 28 - iter 84/280 - loss 0.04173927 - time (sec): 5.45 - samples/sec: 11658.57 - lr: 0.100000 +2023-04-05 11:37:50,453 epoch 28 - iter 112/280 - loss 0.04021163 - time (sec): 7.22 - samples/sec: 11735.56 - lr: 0.100000 +2023-04-05 11:37:52,317 epoch 28 - iter 140/280 - loss 0.04071840 - time (sec): 9.09 - samples/sec: 11737.51 - lr: 0.100000 +2023-04-05 11:37:54,164 epoch 28 - iter 168/280 - loss 0.04090358 - time (sec): 10.93 - samples/sec: 11696.43 - lr: 0.100000 +2023-04-05 11:37:55,996 epoch 28 - iter 196/280 - loss 0.04071248 - time (sec): 12.76 - samples/sec: 11732.91 - lr: 0.100000 +2023-04-05 11:37:57,799 epoch 28 - iter 224/280 - loss 0.04154954 - time (sec): 14.57 - samples/sec: 11710.96 - lr: 0.100000 +2023-04-05 11:37:59,572 epoch 28 - iter 252/280 - loss 0.04182913 - time (sec): 16.34 - samples/sec: 11703.81 - lr: 0.100000 +2023-04-05 11:38:01,307 epoch 28 - iter 280/280 - loss 0.04174203 - time (sec): 18.08 - samples/sec: 11710.77 - lr: 0.100000 +2023-04-05 11:38:01,308 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:01,308 EPOCH 28 done: loss 0.0417 - lr 0.100000 +2023-04-05 11:38:01,308 BAD EPOCHS (no improvement): 0 +2023-04-05 11:38:01,310 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:03,076 epoch 29 - iter 28/280 - loss 0.04221041 - time (sec): 1.77 - samples/sec: 11874.64 - lr: 0.100000 +2023-04-05 11:38:04,896 epoch 29 - iter 56/280 - loss 0.04149599 - time (sec): 3.59 - samples/sec: 11866.19 - lr: 0.100000 +2023-04-05 11:38:06,691 epoch 29 - iter 84/280 - loss 0.04060912 - time (sec): 5.38 - samples/sec: 11852.32 - lr: 0.100000 +2023-04-05 11:38:08,518 epoch 29 - iter 112/280 - loss 0.04082735 - time (sec): 7.21 - samples/sec: 11806.45 - lr: 0.100000 +2023-04-05 11:38:10,352 epoch 29 - iter 140/280 - loss 0.04116983 - time (sec): 9.04 - samples/sec: 11777.70 - lr: 0.100000 +2023-04-05 11:38:12,130 epoch 29 - iter 168/280 - loss 0.04118497 - time (sec): 10.82 - samples/sec: 11814.34 - lr: 0.100000 +2023-04-05 11:38:13,976 epoch 29 - iter 196/280 - loss 0.04185893 - time (sec): 12.67 - samples/sec: 11780.51 - lr: 0.100000 +2023-04-05 11:38:15,759 epoch 29 - iter 224/280 - loss 0.04171785 - time (sec): 14.45 - samples/sec: 11783.56 - lr: 0.100000 +2023-04-05 11:38:17,560 epoch 29 - iter 252/280 - loss 0.04155907 - time (sec): 16.25 - samples/sec: 11768.06 - lr: 0.100000 +2023-04-05 11:38:19,319 epoch 29 - iter 280/280 - loss 0.04183624 - time (sec): 18.01 - samples/sec: 11754.88 - lr: 0.100000 +2023-04-05 11:38:19,319 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:19,320 EPOCH 29 done: loss 0.0418 - lr 0.100000 +2023-04-05 11:38:19,320 BAD EPOCHS (no improvement): 1 +2023-04-05 11:38:19,322 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:21,198 epoch 30 - iter 28/280 - loss 0.03779117 - time (sec): 1.88 - samples/sec: 11594.86 - lr: 0.100000 +2023-04-05 11:38:23,011 epoch 30 - iter 56/280 - loss 0.03672050 - time (sec): 3.69 - samples/sec: 11721.53 - lr: 0.100000 +2023-04-05 11:38:24,808 epoch 30 - iter 84/280 - loss 0.03610688 - time (sec): 5.49 - samples/sec: 11732.88 - lr: 0.100000 +2023-04-05 11:38:26,627 epoch 30 - iter 112/280 - loss 0.03689068 - time (sec): 7.30 - samples/sec: 11662.28 - lr: 0.100000 +2023-04-05 11:38:28,391 epoch 30 - iter 140/280 - loss 0.03771745 - time (sec): 9.07 - samples/sec: 11707.12 - lr: 0.100000 +2023-04-05 11:38:30,250 epoch 30 - iter 168/280 - loss 0.03810714 - time (sec): 10.93 - samples/sec: 11690.48 - lr: 0.100000 +2023-04-05 11:38:32,026 epoch 30 - iter 196/280 - loss 0.03878411 - time (sec): 12.70 - samples/sec: 11698.03 - lr: 0.100000 +2023-04-05 11:38:33,775 epoch 30 - iter 224/280 - loss 0.03871405 - time (sec): 14.45 - samples/sec: 11689.34 - lr: 0.100000 +2023-04-05 11:38:35,555 epoch 30 - iter 252/280 - loss 0.03891072 - time (sec): 16.23 - samples/sec: 11723.14 - lr: 0.100000 +2023-04-05 11:38:37,407 epoch 30 - iter 280/280 - loss 0.03988472 - time (sec): 18.08 - samples/sec: 11705.56 - lr: 0.100000 +2023-04-05 11:38:37,407 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:37,407 EPOCH 30 done: loss 0.0399 - lr 0.100000 +2023-04-05 11:38:37,407 BAD EPOCHS (no improvement): 0 +2023-04-05 11:38:37,410 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:39,189 epoch 31 - iter 28/280 - loss 0.03808612 - time (sec): 1.78 - samples/sec: 11713.27 - lr: 0.100000 +2023-04-05 11:38:40,986 epoch 31 - iter 56/280 - loss 0.03951726 - time (sec): 3.58 - samples/sec: 11768.47 - lr: 0.100000 +2023-04-05 11:38:42,789 epoch 31 - iter 84/280 - loss 0.03882489 - time (sec): 5.38 - samples/sec: 11759.99 - lr: 0.100000 +2023-04-05 11:38:44,634 epoch 31 - iter 112/280 - loss 0.03841884 - time (sec): 7.22 - samples/sec: 11719.98 - lr: 0.100000 +2023-04-05 11:38:46,458 epoch 31 - iter 140/280 - loss 0.03871293 - time (sec): 9.05 - samples/sec: 11726.56 - lr: 0.100000 +2023-04-05 11:38:48,240 epoch 31 - iter 168/280 - loss 0.03824375 - time (sec): 10.83 - samples/sec: 11741.80 - lr: 0.100000 +2023-04-05 11:38:50,051 epoch 31 - iter 196/280 - loss 0.03852520 - time (sec): 12.64 - samples/sec: 11731.73 - lr: 0.100000 +2023-04-05 11:38:51,894 epoch 31 - iter 224/280 - loss 0.03860727 - time (sec): 14.48 - samples/sec: 11745.08 - lr: 0.100000 +2023-04-05 11:38:53,696 epoch 31 - iter 252/280 - loss 0.03860575 - time (sec): 16.29 - samples/sec: 11752.51 - lr: 0.100000 +2023-04-05 11:38:55,401 epoch 31 - iter 280/280 - loss 0.03881480 - time (sec): 17.99 - samples/sec: 11766.56 - lr: 0.100000 +2023-04-05 11:38:55,402 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:55,402 EPOCH 31 done: loss 0.0388 - lr 0.100000 +2023-04-05 11:38:55,402 BAD EPOCHS (no improvement): 0 +2023-04-05 11:38:55,405 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:38:57,211 epoch 32 - iter 28/280 - loss 0.03945079 - time (sec): 1.81 - samples/sec: 11607.57 - lr: 0.100000 +2023-04-05 11:38:59,049 epoch 32 - iter 56/280 - loss 0.03949573 - time (sec): 3.64 - samples/sec: 11526.26 - lr: 0.100000 +2023-04-05 11:39:00,902 epoch 32 - iter 84/280 - loss 0.03816195 - time (sec): 5.50 - samples/sec: 11484.70 - lr: 0.100000 +2023-04-05 11:39:02,761 epoch 32 - iter 112/280 - loss 0.03736938 - time (sec): 7.36 - samples/sec: 11435.90 - lr: 0.100000 +2023-04-05 11:39:04,649 epoch 32 - iter 140/280 - loss 0.03739442 - time (sec): 9.24 - samples/sec: 11448.83 - lr: 0.100000 +2023-04-05 11:39:06,460 epoch 32 - iter 168/280 - loss 0.03769359 - time (sec): 11.06 - samples/sec: 11460.45 - lr: 0.100000 +2023-04-05 11:39:08,292 epoch 32 - iter 196/280 - loss 0.03894570 - time (sec): 12.89 - samples/sec: 11468.50 - lr: 0.100000 +2023-04-05 11:39:10,081 epoch 32 - iter 224/280 - loss 0.03866787 - time (sec): 14.68 - samples/sec: 11536.25 - lr: 0.100000 +2023-04-05 11:39:11,946 epoch 32 - iter 252/280 - loss 0.03846310 - time (sec): 16.54 - samples/sec: 11559.07 - lr: 0.100000 +2023-04-05 11:39:13,705 epoch 32 - iter 280/280 - loss 0.03827095 - time (sec): 18.30 - samples/sec: 11567.44 - lr: 0.100000 +2023-04-05 11:39:13,706 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:39:13,706 EPOCH 32 done: loss 0.0383 - lr 0.100000 +2023-04-05 11:39:13,706 BAD EPOCHS (no improvement): 0 +2023-04-05 11:39:13,711 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:39:15,506 epoch 33 - iter 28/280 - loss 0.03470166 - time (sec): 1.80 - samples/sec: 11891.82 - lr: 0.100000 +2023-04-05 11:39:17,347 epoch 33 - iter 56/280 - loss 0.03871269 - time (sec): 3.64 - samples/sec: 11764.20 - lr: 0.100000 +2023-04-05 11:39:19,149 epoch 33 - iter 84/280 - loss 0.03902470 - time (sec): 5.44 - samples/sec: 11845.71 - lr: 0.100000 +2023-04-05 11:39:20,974 epoch 33 - iter 112/280 - loss 0.03725963 - time (sec): 7.26 - samples/sec: 11817.48 - lr: 0.100000 +2023-04-05 11:39:22,800 epoch 33 - iter 140/280 - loss 0.03723502 - time (sec): 9.09 - samples/sec: 11800.84 - lr: 0.100000 +2023-04-05 11:39:24,589 epoch 33 - iter 168/280 - loss 0.03721689 - time (sec): 10.88 - samples/sec: 11781.01 - lr: 0.100000 +2023-04-05 11:39:26,406 epoch 33 - iter 196/280 - loss 0.03801672 - time (sec): 12.70 - samples/sec: 11770.68 - lr: 0.100000 +2023-04-05 11:39:28,199 epoch 33 - iter 224/280 - loss 0.03776562 - time (sec): 14.49 - samples/sec: 11736.76 - lr: 0.100000 +2023-04-05 11:39:29,975 epoch 33 - iter 252/280 - loss 0.03802663 - time (sec): 16.26 - samples/sec: 11734.95 - lr: 0.100000 +2023-04-05 11:39:31,811 epoch 33 - iter 280/280 - loss 0.03831009 - time (sec): 18.10 - samples/sec: 11696.04 - lr: 0.100000 +2023-04-05 11:39:31,811 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:39:31,811 EPOCH 33 done: loss 0.0383 - lr 0.100000 +2023-04-05 11:39:31,811 BAD EPOCHS (no improvement): 1 +2023-04-05 11:39:31,814 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:39:33,627 epoch 34 - iter 28/280 - loss 0.03620962 - time (sec): 1.81 - samples/sec: 11603.36 - lr: 0.100000 +2023-04-05 11:39:35,513 epoch 34 - iter 56/280 - loss 0.03513302 - time (sec): 3.70 - samples/sec: 11433.87 - lr: 0.100000 +2023-04-05 11:39:37,359 epoch 34 - iter 84/280 - loss 0.03536669 - time (sec): 5.55 - samples/sec: 11446.28 - lr: 0.100000 +2023-04-05 11:39:39,180 epoch 34 - iter 112/280 - loss 0.03499080 - time (sec): 7.37 - samples/sec: 11483.59 - lr: 0.100000 +2023-04-05 11:39:41,027 epoch 34 - iter 140/280 - loss 0.03522558 - time (sec): 9.21 - samples/sec: 11487.75 - lr: 0.100000 +2023-04-05 11:39:42,870 epoch 34 - iter 168/280 - loss 0.03490538 - time (sec): 11.06 - samples/sec: 11475.42 - lr: 0.100000 +2023-04-05 11:39:44,748 epoch 34 - iter 196/280 - loss 0.03561561 - time (sec): 12.93 - samples/sec: 11478.01 - lr: 0.100000 +2023-04-05 11:39:46,578 epoch 34 - iter 224/280 - loss 0.03601340 - time (sec): 14.76 - samples/sec: 11481.38 - lr: 0.100000 +2023-04-05 11:39:48,401 epoch 34 - iter 252/280 - loss 0.03618573 - time (sec): 16.59 - samples/sec: 11498.93 - lr: 0.100000 +2023-04-05 11:39:50,175 epoch 34 - iter 280/280 - loss 0.03598665 - time (sec): 18.36 - samples/sec: 11529.49 - lr: 0.100000 +2023-04-05 11:39:50,175 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:39:50,175 EPOCH 34 done: loss 0.0360 - lr 0.100000 +2023-04-05 11:39:50,175 BAD EPOCHS (no improvement): 0 +2023-04-05 11:39:50,178 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:39:52,001 epoch 35 - iter 28/280 - loss 0.03397965 - time (sec): 1.82 - samples/sec: 11880.73 - lr: 0.100000 +2023-04-05 11:39:53,871 epoch 35 - iter 56/280 - loss 0.03403821 - time (sec): 3.69 - samples/sec: 11604.62 - lr: 0.100000 +2023-04-05 11:39:55,714 epoch 35 - iter 84/280 - loss 0.03543108 - time (sec): 5.54 - samples/sec: 11550.94 - lr: 0.100000 +2023-04-05 11:39:57,476 epoch 35 - iter 112/280 - loss 0.03645667 - time (sec): 7.30 - samples/sec: 11612.08 - lr: 0.100000 +2023-04-05 11:40:00,675 epoch 35 - iter 140/280 - loss 0.03658092 - time (sec): 10.50 - samples/sec: 10120.05 - lr: 0.100000 +2023-04-05 11:40:02,447 epoch 35 - iter 168/280 - loss 0.03659507 - time (sec): 12.27 - samples/sec: 10348.01 - lr: 0.100000 +2023-04-05 11:40:04,244 epoch 35 - iter 196/280 - loss 0.03646809 - time (sec): 14.07 - samples/sec: 10573.14 - lr: 0.100000 +2023-04-05 11:40:06,078 epoch 35 - iter 224/280 - loss 0.03662898 - time (sec): 15.90 - samples/sec: 10707.60 - lr: 0.100000 +2023-04-05 11:40:07,909 epoch 35 - iter 252/280 - loss 0.03633694 - time (sec): 17.73 - samples/sec: 10804.47 - lr: 0.100000 +2023-04-05 11:40:09,582 epoch 35 - iter 280/280 - loss 0.03636577 - time (sec): 19.40 - samples/sec: 10909.83 - lr: 0.100000 +2023-04-05 11:40:09,582 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:40:09,582 EPOCH 35 done: loss 0.0364 - lr 0.100000 +2023-04-05 11:40:09,582 BAD EPOCHS (no improvement): 1 +2023-04-05 11:40:09,585 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:40:11,364 epoch 36 - iter 28/280 - loss 0.03712210 - time (sec): 1.78 - samples/sec: 11737.86 - lr: 0.100000 +2023-04-05 11:40:13,181 epoch 36 - iter 56/280 - loss 0.03619270 - time (sec): 3.60 - samples/sec: 11743.46 - lr: 0.100000 +2023-04-05 11:40:15,010 epoch 36 - iter 84/280 - loss 0.03484479 - time (sec): 5.43 - samples/sec: 11766.34 - lr: 0.100000 +2023-04-05 11:40:16,861 epoch 36 - iter 112/280 - loss 0.03427536 - time (sec): 7.28 - samples/sec: 11707.46 - lr: 0.100000 +2023-04-05 11:40:18,638 epoch 36 - iter 140/280 - loss 0.03509265 - time (sec): 9.05 - samples/sec: 11718.62 - lr: 0.100000 +2023-04-05 11:40:20,450 epoch 36 - iter 168/280 - loss 0.03530102 - time (sec): 10.86 - samples/sec: 11719.62 - lr: 0.100000 +2023-04-05 11:40:22,286 epoch 36 - iter 196/280 - loss 0.03531748 - time (sec): 12.70 - samples/sec: 11740.50 - lr: 0.100000 +2023-04-05 11:40:24,112 epoch 36 - iter 224/280 - loss 0.03480613 - time (sec): 14.53 - samples/sec: 11705.97 - lr: 0.100000 +2023-04-05 11:40:25,885 epoch 36 - iter 252/280 - loss 0.03473059 - time (sec): 16.30 - samples/sec: 11739.57 - lr: 0.100000 +2023-04-05 11:40:27,616 epoch 36 - iter 280/280 - loss 0.03488935 - time (sec): 18.03 - samples/sec: 11740.50 - lr: 0.100000 +2023-04-05 11:40:27,616 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:40:27,616 EPOCH 36 done: loss 0.0349 - lr 0.100000 +2023-04-05 11:40:27,617 BAD EPOCHS (no improvement): 0 +2023-04-05 11:40:27,619 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:40:29,394 epoch 37 - iter 28/280 - loss 0.03492849 - time (sec): 1.77 - samples/sec: 11767.27 - lr: 0.100000 +2023-04-05 11:40:31,178 epoch 37 - iter 56/280 - loss 0.03533917 - time (sec): 3.56 - samples/sec: 11780.53 - lr: 0.100000 +2023-04-05 11:40:32,938 epoch 37 - iter 84/280 - loss 0.03550122 - time (sec): 5.32 - samples/sec: 11868.57 - lr: 0.100000 +2023-04-05 11:40:34,740 epoch 37 - iter 112/280 - loss 0.03508579 - time (sec): 7.12 - samples/sec: 11885.04 - lr: 0.100000 +2023-04-05 11:40:36,570 epoch 37 - iter 140/280 - loss 0.03527674 - time (sec): 8.95 - samples/sec: 11892.16 - lr: 0.100000 +2023-04-05 11:40:38,341 epoch 37 - iter 168/280 - loss 0.03503908 - time (sec): 10.72 - samples/sec: 11862.46 - lr: 0.100000 +2023-04-05 11:40:40,125 epoch 37 - iter 196/280 - loss 0.03501984 - time (sec): 12.51 - samples/sec: 11897.99 - lr: 0.100000 +2023-04-05 11:40:41,952 epoch 37 - iter 224/280 - loss 0.03484890 - time (sec): 14.33 - samples/sec: 11864.14 - lr: 0.100000 +2023-04-05 11:40:43,789 epoch 37 - iter 252/280 - loss 0.03482832 - time (sec): 16.17 - samples/sec: 11817.38 - lr: 0.100000 +2023-04-05 11:40:45,557 epoch 37 - iter 280/280 - loss 0.03452807 - time (sec): 17.94 - samples/sec: 11801.10 - lr: 0.100000 +2023-04-05 11:40:45,557 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:40:45,557 EPOCH 37 done: loss 0.0345 - lr 0.100000 +2023-04-05 11:40:45,557 BAD EPOCHS (no improvement): 0 +2023-04-05 11:40:45,560 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:40:47,406 epoch 38 - iter 28/280 - loss 0.02924971 - time (sec): 1.85 - samples/sec: 11611.39 - lr: 0.100000 +2023-04-05 11:40:49,219 epoch 38 - iter 56/280 - loss 0.03094036 - time (sec): 3.66 - samples/sec: 11604.83 - lr: 0.100000 +2023-04-05 11:40:50,991 epoch 38 - iter 84/280 - loss 0.03150412 - time (sec): 5.43 - samples/sec: 11644.00 - lr: 0.100000 +2023-04-05 11:40:52,762 epoch 38 - iter 112/280 - loss 0.03200344 - time (sec): 7.20 - samples/sec: 11697.88 - lr: 0.100000 +2023-04-05 11:40:54,595 epoch 38 - iter 140/280 - loss 0.03235991 - time (sec): 9.04 - samples/sec: 11660.33 - lr: 0.100000 +2023-04-05 11:40:56,427 epoch 38 - iter 168/280 - loss 0.03299630 - time (sec): 10.87 - samples/sec: 11703.53 - lr: 0.100000 +2023-04-05 11:40:58,210 epoch 38 - iter 196/280 - loss 0.03320721 - time (sec): 12.65 - samples/sec: 11748.67 - lr: 0.100000 +2023-04-05 11:40:59,979 epoch 38 - iter 224/280 - loss 0.03320812 - time (sec): 14.42 - samples/sec: 11769.27 - lr: 0.100000 +2023-04-05 11:41:01,826 epoch 38 - iter 252/280 - loss 0.03377228 - time (sec): 16.27 - samples/sec: 11758.88 - lr: 0.100000 +2023-04-05 11:41:03,578 epoch 38 - iter 280/280 - loss 0.03376645 - time (sec): 18.02 - samples/sec: 11748.69 - lr: 0.100000 +2023-04-05 11:41:03,579 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:03,579 EPOCH 38 done: loss 0.0338 - lr 0.100000 +2023-04-05 11:41:03,579 BAD EPOCHS (no improvement): 0 +2023-04-05 11:41:03,581 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:05,387 epoch 39 - iter 28/280 - loss 0.03031979 - time (sec): 1.81 - samples/sec: 11728.83 - lr: 0.100000 +2023-04-05 11:41:07,231 epoch 39 - iter 56/280 - loss 0.02972548 - time (sec): 3.65 - samples/sec: 11672.13 - lr: 0.100000 +2023-04-05 11:41:09,037 epoch 39 - iter 84/280 - loss 0.03052992 - time (sec): 5.46 - samples/sec: 11787.83 - lr: 0.100000 +2023-04-05 11:41:10,831 epoch 39 - iter 112/280 - loss 0.03130694 - time (sec): 7.25 - samples/sec: 11794.77 - lr: 0.100000 +2023-04-05 11:41:12,615 epoch 39 - iter 140/280 - loss 0.03137877 - time (sec): 9.03 - samples/sec: 11794.71 - lr: 0.100000 +2023-04-05 11:41:14,382 epoch 39 - iter 168/280 - loss 0.03151465 - time (sec): 10.80 - samples/sec: 11804.13 - lr: 0.100000 +2023-04-05 11:41:16,168 epoch 39 - iter 196/280 - loss 0.03181991 - time (sec): 12.59 - samples/sec: 11817.23 - lr: 0.100000 +2023-04-05 11:41:17,936 epoch 39 - iter 224/280 - loss 0.03256943 - time (sec): 14.35 - samples/sec: 11837.75 - lr: 0.100000 +2023-04-05 11:41:19,715 epoch 39 - iter 252/280 - loss 0.03243855 - time (sec): 16.13 - samples/sec: 11838.64 - lr: 0.100000 +2023-04-05 11:41:21,472 epoch 39 - iter 280/280 - loss 0.03261390 - time (sec): 17.89 - samples/sec: 11832.89 - lr: 0.100000 +2023-04-05 11:41:21,472 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:21,472 EPOCH 39 done: loss 0.0326 - lr 0.100000 +2023-04-05 11:41:21,472 BAD EPOCHS (no improvement): 0 +2023-04-05 11:41:21,475 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:23,315 epoch 40 - iter 28/280 - loss 0.03397579 - time (sec): 1.84 - samples/sec: 11546.81 - lr: 0.100000 +2023-04-05 11:41:25,119 epoch 40 - iter 56/280 - loss 0.03076253 - time (sec): 3.64 - samples/sec: 11691.29 - lr: 0.100000 +2023-04-05 11:41:26,945 epoch 40 - iter 84/280 - loss 0.03167224 - time (sec): 5.47 - samples/sec: 11712.08 - lr: 0.100000 +2023-04-05 11:41:28,773 epoch 40 - iter 112/280 - loss 0.03213338 - time (sec): 7.30 - samples/sec: 11699.56 - lr: 0.100000 +2023-04-05 11:41:30,596 epoch 40 - iter 140/280 - loss 0.03252726 - time (sec): 9.12 - samples/sec: 11672.06 - lr: 0.100000 +2023-04-05 11:41:32,379 epoch 40 - iter 168/280 - loss 0.03257365 - time (sec): 10.90 - samples/sec: 11710.12 - lr: 0.100000 +2023-04-05 11:41:34,181 epoch 40 - iter 196/280 - loss 0.03206865 - time (sec): 12.71 - samples/sec: 11706.58 - lr: 0.100000 +2023-04-05 11:41:35,995 epoch 40 - iter 224/280 - loss 0.03212630 - time (sec): 14.52 - samples/sec: 11724.25 - lr: 0.100000 +2023-04-05 11:41:37,779 epoch 40 - iter 252/280 - loss 0.03168467 - time (sec): 16.30 - samples/sec: 11717.51 - lr: 0.100000 +2023-04-05 11:41:39,526 epoch 40 - iter 280/280 - loss 0.03170537 - time (sec): 18.05 - samples/sec: 11727.64 - lr: 0.100000 +2023-04-05 11:41:39,526 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:39,526 EPOCH 40 done: loss 0.0317 - lr 0.100000 +2023-04-05 11:41:39,526 BAD EPOCHS (no improvement): 0 +2023-04-05 11:41:39,529 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:41,335 epoch 41 - iter 28/280 - loss 0.03169512 - time (sec): 1.81 - samples/sec: 11598.46 - lr: 0.100000 +2023-04-05 11:41:43,098 epoch 41 - iter 56/280 - loss 0.02987874 - time (sec): 3.57 - samples/sec: 11810.77 - lr: 0.100000 +2023-04-05 11:41:44,865 epoch 41 - iter 84/280 - loss 0.03034049 - time (sec): 5.34 - samples/sec: 11813.64 - lr: 0.100000 +2023-04-05 11:41:46,692 epoch 41 - iter 112/280 - loss 0.03132979 - time (sec): 7.16 - samples/sec: 11779.38 - lr: 0.100000 +2023-04-05 11:41:48,455 epoch 41 - iter 140/280 - loss 0.03185747 - time (sec): 8.93 - samples/sec: 11816.74 - lr: 0.100000 +2023-04-05 11:41:50,213 epoch 41 - iter 168/280 - loss 0.03162195 - time (sec): 10.68 - samples/sec: 11890.39 - lr: 0.100000 +2023-04-05 11:41:52,007 epoch 41 - iter 196/280 - loss 0.03175273 - time (sec): 12.48 - samples/sec: 11888.61 - lr: 0.100000 +2023-04-05 11:41:53,812 epoch 41 - iter 224/280 - loss 0.03205507 - time (sec): 14.28 - samples/sec: 11896.56 - lr: 0.100000 +2023-04-05 11:41:55,647 epoch 41 - iter 252/280 - loss 0.03203207 - time (sec): 16.12 - samples/sec: 11878.15 - lr: 0.100000 +2023-04-05 11:41:57,387 epoch 41 - iter 280/280 - loss 0.03188554 - time (sec): 17.86 - samples/sec: 11854.14 - lr: 0.100000 +2023-04-05 11:41:57,388 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:57,388 EPOCH 41 done: loss 0.0319 - lr 0.100000 +2023-04-05 11:41:57,388 BAD EPOCHS (no improvement): 1 +2023-04-05 11:41:57,390 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:41:59,142 epoch 42 - iter 28/280 - loss 0.03157143 - time (sec): 1.75 - samples/sec: 11974.81 - lr: 0.100000 +2023-04-05 11:42:00,913 epoch 42 - iter 56/280 - loss 0.03096020 - time (sec): 3.52 - samples/sec: 11857.82 - lr: 0.100000 +2023-04-05 11:42:02,712 epoch 42 - iter 84/280 - loss 0.02972157 - time (sec): 5.32 - samples/sec: 11865.20 - lr: 0.100000 +2023-04-05 11:42:04,600 epoch 42 - iter 112/280 - loss 0.02970780 - time (sec): 7.21 - samples/sec: 11771.44 - lr: 0.100000 +2023-04-05 11:42:06,417 epoch 42 - iter 140/280 - loss 0.02974788 - time (sec): 9.03 - samples/sec: 11741.13 - lr: 0.100000 +2023-04-05 11:42:08,270 epoch 42 - iter 168/280 - loss 0.03005308 - time (sec): 10.88 - samples/sec: 11736.30 - lr: 0.100000 +2023-04-05 11:42:10,041 epoch 42 - iter 196/280 - loss 0.03029969 - time (sec): 12.65 - samples/sec: 11748.92 - lr: 0.100000 +2023-04-05 11:42:11,771 epoch 42 - iter 224/280 - loss 0.03050950 - time (sec): 14.38 - samples/sec: 11790.59 - lr: 0.100000 +2023-04-05 11:42:13,609 epoch 42 - iter 252/280 - loss 0.03047451 - time (sec): 16.22 - samples/sec: 11754.92 - lr: 0.100000 +2023-04-05 11:42:15,413 epoch 42 - iter 280/280 - loss 0.03062606 - time (sec): 18.02 - samples/sec: 11745.72 - lr: 0.100000 +2023-04-05 11:42:15,413 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:42:15,413 EPOCH 42 done: loss 0.0306 - lr 0.100000 +2023-04-05 11:42:15,413 BAD EPOCHS (no improvement): 0 +2023-04-05 11:42:15,416 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:42:17,201 epoch 43 - iter 28/280 - loss 0.02888818 - time (sec): 1.78 - samples/sec: 11822.28 - lr: 0.100000 +2023-04-05 11:42:18,957 epoch 43 - iter 56/280 - loss 0.03051591 - time (sec): 3.54 - samples/sec: 11887.82 - lr: 0.100000 +2023-04-05 11:42:20,742 epoch 43 - iter 84/280 - loss 0.03089329 - time (sec): 5.33 - samples/sec: 11842.28 - lr: 0.100000 +2023-04-05 11:42:22,543 epoch 43 - iter 112/280 - loss 0.03001506 - time (sec): 7.13 - samples/sec: 11793.84 - lr: 0.100000 +2023-04-05 11:42:24,357 epoch 43 - iter 140/280 - loss 0.03062371 - time (sec): 8.94 - samples/sec: 11794.48 - lr: 0.100000 +2023-04-05 11:42:26,161 epoch 43 - iter 168/280 - loss 0.03061882 - time (sec): 10.74 - samples/sec: 11826.85 - lr: 0.100000 +2023-04-05 11:42:27,938 epoch 43 - iter 196/280 - loss 0.03063456 - time (sec): 12.52 - samples/sec: 11844.31 - lr: 0.100000 +2023-04-05 11:42:29,743 epoch 43 - iter 224/280 - loss 0.03074782 - time (sec): 14.33 - samples/sec: 11847.45 - lr: 0.100000 +2023-04-05 11:42:31,503 epoch 43 - iter 252/280 - loss 0.03092329 - time (sec): 16.09 - samples/sec: 11832.74 - lr: 0.100000 +2023-04-05 11:42:33,328 epoch 43 - iter 280/280 - loss 0.03123207 - time (sec): 17.91 - samples/sec: 11818.61 - lr: 0.100000 +2023-04-05 11:42:33,328 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:42:33,328 EPOCH 43 done: loss 0.0312 - lr 0.100000 +2023-04-05 11:42:33,328 BAD EPOCHS (no improvement): 1 +2023-04-05 11:42:33,331 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:42:35,147 epoch 44 - iter 28/280 - loss 0.03121475 - time (sec): 1.82 - samples/sec: 11716.67 - lr: 0.100000 +2023-04-05 11:42:36,939 epoch 44 - iter 56/280 - loss 0.02878473 - time (sec): 3.61 - samples/sec: 11672.15 - lr: 0.100000 +2023-04-05 11:42:38,779 epoch 44 - iter 84/280 - loss 0.02950205 - time (sec): 5.45 - samples/sec: 11656.66 - lr: 0.100000 +2023-04-05 11:42:40,600 epoch 44 - iter 112/280 - loss 0.02907250 - time (sec): 7.27 - samples/sec: 11638.75 - lr: 0.100000 +2023-04-05 11:42:42,391 epoch 44 - iter 140/280 - loss 0.02904973 - time (sec): 9.06 - samples/sec: 11665.38 - lr: 0.100000 +2023-04-05 11:42:44,256 epoch 44 - iter 168/280 - loss 0.02978426 - time (sec): 10.92 - samples/sec: 11662.02 - lr: 0.100000 +2023-04-05 11:42:46,011 epoch 44 - iter 196/280 - loss 0.02983154 - time (sec): 12.68 - samples/sec: 11701.67 - lr: 0.100000 +2023-04-05 11:42:47,816 epoch 44 - iter 224/280 - loss 0.03043928 - time (sec): 14.48 - samples/sec: 11703.66 - lr: 0.100000 +2023-04-05 11:42:49,641 epoch 44 - iter 252/280 - loss 0.03049655 - time (sec): 16.31 - samples/sec: 11698.92 - lr: 0.100000 +2023-04-05 11:42:51,431 epoch 44 - iter 280/280 - loss 0.03030984 - time (sec): 18.10 - samples/sec: 11695.89 - lr: 0.100000 +2023-04-05 11:42:51,431 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:42:51,432 EPOCH 44 done: loss 0.0303 - lr 0.100000 +2023-04-05 11:42:51,432 BAD EPOCHS (no improvement): 0 +2023-04-05 11:42:51,434 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:42:53,275 epoch 45 - iter 28/280 - loss 0.02896127 - time (sec): 1.84 - samples/sec: 11898.32 - lr: 0.100000 +2023-04-05 11:42:55,161 epoch 45 - iter 56/280 - loss 0.02902596 - time (sec): 3.73 - samples/sec: 11596.78 - lr: 0.100000 +2023-04-05 11:42:56,942 epoch 45 - iter 84/280 - loss 0.02973355 - time (sec): 5.51 - samples/sec: 11640.30 - lr: 0.100000 +2023-04-05 11:42:58,729 epoch 45 - iter 112/280 - loss 0.02931551 - time (sec): 7.29 - samples/sec: 11705.45 - lr: 0.100000 +2023-04-05 11:43:00,578 epoch 45 - iter 140/280 - loss 0.03045931 - time (sec): 9.14 - samples/sec: 11720.89 - lr: 0.100000 +2023-04-05 11:43:02,399 epoch 45 - iter 168/280 - loss 0.03026622 - time (sec): 10.97 - samples/sec: 11685.01 - lr: 0.100000 +2023-04-05 11:43:04,158 epoch 45 - iter 196/280 - loss 0.03005424 - time (sec): 12.72 - samples/sec: 11725.25 - lr: 0.100000 +2023-04-05 11:43:05,933 epoch 45 - iter 224/280 - loss 0.03001498 - time (sec): 14.50 - samples/sec: 11770.86 - lr: 0.100000 +2023-04-05 11:43:07,644 epoch 45 - iter 252/280 - loss 0.02994644 - time (sec): 16.21 - samples/sec: 11781.67 - lr: 0.100000 +2023-04-05 11:43:09,397 epoch 45 - iter 280/280 - loss 0.02986544 - time (sec): 17.96 - samples/sec: 11784.63 - lr: 0.100000 +2023-04-05 11:43:09,398 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:43:09,398 EPOCH 45 done: loss 0.0299 - lr 0.100000 +2023-04-05 11:43:09,398 BAD EPOCHS (no improvement): 0 +2023-04-05 11:43:09,400 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:43:11,291 epoch 46 - iter 28/280 - loss 0.02874955 - time (sec): 1.89 - samples/sec: 11491.82 - lr: 0.100000 +2023-04-05 11:43:13,112 epoch 46 - iter 56/280 - loss 0.02883285 - time (sec): 3.71 - samples/sec: 11573.99 - lr: 0.100000 +2023-04-05 11:43:14,889 epoch 46 - iter 84/280 - loss 0.02929241 - time (sec): 5.49 - samples/sec: 11626.20 - lr: 0.100000 +2023-04-05 11:43:16,703 epoch 46 - iter 112/280 - loss 0.02970739 - time (sec): 7.30 - samples/sec: 11651.95 - lr: 0.100000 +2023-04-05 11:43:18,501 epoch 46 - iter 140/280 - loss 0.02881331 - time (sec): 9.10 - samples/sec: 11665.65 - lr: 0.100000 +2023-04-05 11:43:20,282 epoch 46 - iter 168/280 - loss 0.02958618 - time (sec): 10.88 - samples/sec: 11699.47 - lr: 0.100000 +2023-04-05 11:43:22,112 epoch 46 - iter 196/280 - loss 0.02936984 - time (sec): 12.71 - samples/sec: 11691.44 - lr: 0.100000 +2023-04-05 11:43:23,921 epoch 46 - iter 224/280 - loss 0.02939788 - time (sec): 14.52 - samples/sec: 11705.87 - lr: 0.100000 +2023-04-05 11:43:25,754 epoch 46 - iter 252/280 - loss 0.02939409 - time (sec): 16.35 - samples/sec: 11682.39 - lr: 0.100000 +2023-04-05 11:43:27,518 epoch 46 - iter 280/280 - loss 0.02941412 - time (sec): 18.12 - samples/sec: 11684.41 - lr: 0.100000 +2023-04-05 11:43:27,518 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:43:27,518 EPOCH 46 done: loss 0.0294 - lr 0.100000 +2023-04-05 11:43:27,518 BAD EPOCHS (no improvement): 0 +2023-04-05 11:43:27,521 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:43:29,321 epoch 47 - iter 28/280 - loss 0.02794756 - time (sec): 1.80 - samples/sec: 11780.73 - lr: 0.100000 +2023-04-05 11:43:31,155 epoch 47 - iter 56/280 - loss 0.02907753 - time (sec): 3.63 - samples/sec: 11718.88 - lr: 0.100000 +2023-04-05 11:43:33,025 epoch 47 - iter 84/280 - loss 0.02881838 - time (sec): 5.50 - samples/sec: 11461.42 - lr: 0.100000 +2023-04-05 11:43:34,830 epoch 47 - iter 112/280 - loss 0.02858291 - time (sec): 7.31 - samples/sec: 11603.37 - lr: 0.100000 +2023-04-05 11:43:36,635 epoch 47 - iter 140/280 - loss 0.02878100 - time (sec): 9.11 - samples/sec: 11688.91 - lr: 0.100000 +2023-04-05 11:43:38,427 epoch 47 - iter 168/280 - loss 0.02846553 - time (sec): 10.91 - samples/sec: 11715.47 - lr: 0.100000 +2023-04-05 11:43:40,221 epoch 47 - iter 196/280 - loss 0.02847962 - time (sec): 12.70 - samples/sec: 11734.04 - lr: 0.100000 +2023-04-05 11:43:41,985 epoch 47 - iter 224/280 - loss 0.02853331 - time (sec): 14.46 - samples/sec: 11756.76 - lr: 0.100000 +2023-04-05 11:43:43,730 epoch 47 - iter 252/280 - loss 0.02860707 - time (sec): 16.21 - samples/sec: 11815.10 - lr: 0.100000 +2023-04-05 11:43:45,482 epoch 47 - iter 280/280 - loss 0.02920642 - time (sec): 17.96 - samples/sec: 11786.24 - lr: 0.100000 +2023-04-05 11:43:45,482 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:43:45,482 EPOCH 47 done: loss 0.0292 - lr 0.100000 +2023-04-05 11:43:45,482 BAD EPOCHS (no improvement): 0 +2023-04-05 11:43:45,485 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:43:47,276 epoch 48 - iter 28/280 - loss 0.02428445 - time (sec): 1.79 - samples/sec: 11705.37 - lr: 0.100000 +2023-04-05 11:43:49,137 epoch 48 - iter 56/280 - loss 0.02632186 - time (sec): 3.65 - samples/sec: 11564.76 - lr: 0.100000 +2023-04-05 11:43:50,948 epoch 48 - iter 84/280 - loss 0.02574135 - time (sec): 5.46 - samples/sec: 11634.40 - lr: 0.100000 +2023-04-05 11:43:52,707 epoch 48 - iter 112/280 - loss 0.02590516 - time (sec): 7.22 - samples/sec: 11685.99 - lr: 0.100000 +2023-04-05 11:43:54,499 epoch 48 - iter 140/280 - loss 0.02668638 - time (sec): 9.01 - samples/sec: 11716.51 - lr: 0.100000 +2023-04-05 11:43:56,347 epoch 48 - iter 168/280 - loss 0.02697613 - time (sec): 10.86 - samples/sec: 11713.05 - lr: 0.100000 +2023-04-05 11:43:58,115 epoch 48 - iter 196/280 - loss 0.02711778 - time (sec): 12.63 - samples/sec: 11751.00 - lr: 0.100000 +2023-04-05 11:43:59,977 epoch 48 - iter 224/280 - loss 0.02735087 - time (sec): 14.49 - samples/sec: 11699.28 - lr: 0.100000 +2023-04-05 11:44:01,733 epoch 48 - iter 252/280 - loss 0.02799781 - time (sec): 16.25 - samples/sec: 11733.54 - lr: 0.100000 +2023-04-05 11:44:03,495 epoch 48 - iter 280/280 - loss 0.02796271 - time (sec): 18.01 - samples/sec: 11754.51 - lr: 0.100000 +2023-04-05 11:44:03,495 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:03,495 EPOCH 48 done: loss 0.0280 - lr 0.100000 +2023-04-05 11:44:03,495 BAD EPOCHS (no improvement): 0 +2023-04-05 11:44:03,497 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:05,307 epoch 49 - iter 28/280 - loss 0.02556972 - time (sec): 1.81 - samples/sec: 11696.44 - lr: 0.100000 +2023-04-05 11:44:07,160 epoch 49 - iter 56/280 - loss 0.02542350 - time (sec): 3.66 - samples/sec: 11647.07 - lr: 0.100000 +2023-04-05 11:44:08,938 epoch 49 - iter 84/280 - loss 0.02693832 - time (sec): 5.44 - samples/sec: 11787.37 - lr: 0.100000 +2023-04-05 11:44:10,729 epoch 49 - iter 112/280 - loss 0.02745584 - time (sec): 7.23 - samples/sec: 11809.17 - lr: 0.100000 +2023-04-05 11:44:12,493 epoch 49 - iter 140/280 - loss 0.02753203 - time (sec): 9.00 - samples/sec: 11843.58 - lr: 0.100000 +2023-04-05 11:44:14,318 epoch 49 - iter 168/280 - loss 0.02702621 - time (sec): 10.82 - samples/sec: 11847.97 - lr: 0.100000 +2023-04-05 11:44:16,019 epoch 49 - iter 196/280 - loss 0.02737883 - time (sec): 12.52 - samples/sec: 11913.15 - lr: 0.100000 +2023-04-05 11:44:17,771 epoch 49 - iter 224/280 - loss 0.02754981 - time (sec): 14.27 - samples/sec: 11941.14 - lr: 0.100000 +2023-04-05 11:44:19,586 epoch 49 - iter 252/280 - loss 0.02795361 - time (sec): 16.09 - samples/sec: 11908.24 - lr: 0.100000 +2023-04-05 11:44:21,302 epoch 49 - iter 280/280 - loss 0.02805351 - time (sec): 17.80 - samples/sec: 11889.42 - lr: 0.100000 +2023-04-05 11:44:21,302 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:21,302 EPOCH 49 done: loss 0.0281 - lr 0.100000 +2023-04-05 11:44:21,302 BAD EPOCHS (no improvement): 1 +2023-04-05 11:44:21,305 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:23,116 epoch 50 - iter 28/280 - loss 0.02906077 - time (sec): 1.81 - samples/sec: 11457.17 - lr: 0.100000 +2023-04-05 11:44:24,901 epoch 50 - iter 56/280 - loss 0.02667004 - time (sec): 3.60 - samples/sec: 11595.45 - lr: 0.100000 +2023-04-05 11:44:26,681 epoch 50 - iter 84/280 - loss 0.02672700 - time (sec): 5.38 - samples/sec: 11681.60 - lr: 0.100000 +2023-04-05 11:44:28,525 epoch 50 - iter 112/280 - loss 0.02685015 - time (sec): 7.22 - samples/sec: 11743.79 - lr: 0.100000 +2023-04-05 11:44:30,355 epoch 50 - iter 140/280 - loss 0.02701378 - time (sec): 9.05 - samples/sec: 11751.69 - lr: 0.100000 +2023-04-05 11:44:32,167 epoch 50 - iter 168/280 - loss 0.02729387 - time (sec): 10.86 - samples/sec: 11773.73 - lr: 0.100000 +2023-04-05 11:44:33,953 epoch 50 - iter 196/280 - loss 0.02713707 - time (sec): 12.65 - samples/sec: 11779.39 - lr: 0.100000 +2023-04-05 11:44:35,753 epoch 50 - iter 224/280 - loss 0.02736079 - time (sec): 14.45 - samples/sec: 11786.89 - lr: 0.100000 +2023-04-05 11:44:37,586 epoch 50 - iter 252/280 - loss 0.02710110 - time (sec): 16.28 - samples/sec: 11751.41 - lr: 0.100000 +2023-04-05 11:44:39,318 epoch 50 - iter 280/280 - loss 0.02771860 - time (sec): 18.01 - samples/sec: 11752.23 - lr: 0.100000 +2023-04-05 11:44:39,318 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:39,318 EPOCH 50 done: loss 0.0277 - lr 0.100000 +2023-04-05 11:44:39,319 BAD EPOCHS (no improvement): 0 +2023-04-05 11:44:39,321 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:41,100 epoch 51 - iter 28/280 - loss 0.02350058 - time (sec): 1.78 - samples/sec: 11836.78 - lr: 0.100000 +2023-04-05 11:44:42,911 epoch 51 - iter 56/280 - loss 0.02420945 - time (sec): 3.59 - samples/sec: 11847.84 - lr: 0.100000 +2023-04-05 11:44:44,712 epoch 51 - iter 84/280 - loss 0.02473076 - time (sec): 5.39 - samples/sec: 11801.65 - lr: 0.100000 +2023-04-05 11:44:46,501 epoch 51 - iter 112/280 - loss 0.02477368 - time (sec): 7.18 - samples/sec: 11840.18 - lr: 0.100000 +2023-04-05 11:44:48,289 epoch 51 - iter 140/280 - loss 0.02580652 - time (sec): 8.97 - samples/sec: 11823.40 - lr: 0.100000 +2023-04-05 11:44:50,050 epoch 51 - iter 168/280 - loss 0.02607423 - time (sec): 10.73 - samples/sec: 11835.60 - lr: 0.100000 +2023-04-05 11:44:51,832 epoch 51 - iter 196/280 - loss 0.02660144 - time (sec): 12.51 - samples/sec: 11847.44 - lr: 0.100000 +2023-04-05 11:44:53,652 epoch 51 - iter 224/280 - loss 0.02666990 - time (sec): 14.33 - samples/sec: 11825.20 - lr: 0.100000 +2023-04-05 11:44:55,433 epoch 51 - iter 252/280 - loss 0.02671405 - time (sec): 16.11 - samples/sec: 11824.06 - lr: 0.100000 +2023-04-05 11:44:57,228 epoch 51 - iter 280/280 - loss 0.02692566 - time (sec): 17.91 - samples/sec: 11822.23 - lr: 0.100000 +2023-04-05 11:44:57,228 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:57,228 EPOCH 51 done: loss 0.0269 - lr 0.100000 +2023-04-05 11:44:57,228 BAD EPOCHS (no improvement): 0 +2023-04-05 11:44:57,231 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:44:58,996 epoch 52 - iter 28/280 - loss 0.02849583 - time (sec): 1.76 - samples/sec: 11766.61 - lr: 0.100000 +2023-04-05 11:45:00,784 epoch 52 - iter 56/280 - loss 0.02784938 - time (sec): 3.55 - samples/sec: 11788.74 - lr: 0.100000 +2023-04-05 11:45:02,638 epoch 52 - iter 84/280 - loss 0.02732094 - time (sec): 5.41 - samples/sec: 11696.04 - lr: 0.100000 +2023-04-05 11:45:04,469 epoch 52 - iter 112/280 - loss 0.02625954 - time (sec): 7.24 - samples/sec: 11662.46 - lr: 0.100000 +2023-04-05 11:45:06,286 epoch 52 - iter 140/280 - loss 0.02580923 - time (sec): 9.05 - samples/sec: 11690.99 - lr: 0.100000 +2023-04-05 11:45:08,164 epoch 52 - iter 168/280 - loss 0.02643554 - time (sec): 10.93 - samples/sec: 11661.45 - lr: 0.100000 +2023-04-05 11:45:09,946 epoch 52 - iter 196/280 - loss 0.02655338 - time (sec): 12.71 - samples/sec: 11705.51 - lr: 0.100000 +2023-04-05 11:45:11,736 epoch 52 - iter 224/280 - loss 0.02671910 - time (sec): 14.50 - samples/sec: 11701.04 - lr: 0.100000 +2023-04-05 11:45:13,568 epoch 52 - iter 252/280 - loss 0.02708245 - time (sec): 16.34 - samples/sec: 11711.16 - lr: 0.100000 +2023-04-05 11:45:15,331 epoch 52 - iter 280/280 - loss 0.02728734 - time (sec): 18.10 - samples/sec: 11695.78 - lr: 0.100000 +2023-04-05 11:45:15,331 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:45:15,331 EPOCH 52 done: loss 0.0273 - lr 0.100000 +2023-04-05 11:45:15,331 BAD EPOCHS (no improvement): 1 +2023-04-05 11:45:15,334 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:45:17,140 epoch 53 - iter 28/280 - loss 0.02533256 - time (sec): 1.81 - samples/sec: 11696.33 - lr: 0.100000 +2023-04-05 11:45:18,940 epoch 53 - iter 56/280 - loss 0.02437152 - time (sec): 3.61 - samples/sec: 11666.63 - lr: 0.100000 +2023-04-05 11:45:20,732 epoch 53 - iter 84/280 - loss 0.02387980 - time (sec): 5.40 - samples/sec: 11715.45 - lr: 0.100000 +2023-04-05 11:45:22,516 epoch 53 - iter 112/280 - loss 0.02437736 - time (sec): 7.18 - samples/sec: 11772.71 - lr: 0.100000 +2023-04-05 11:45:24,282 epoch 53 - iter 140/280 - loss 0.02439935 - time (sec): 8.95 - samples/sec: 11771.17 - lr: 0.100000 +2023-04-05 11:45:26,074 epoch 53 - iter 168/280 - loss 0.02496549 - time (sec): 10.74 - samples/sec: 11765.96 - lr: 0.100000 +2023-04-05 11:45:27,824 epoch 53 - iter 196/280 - loss 0.02508578 - time (sec): 12.49 - samples/sec: 11795.54 - lr: 0.100000 +2023-04-05 11:45:29,690 epoch 53 - iter 224/280 - loss 0.02524693 - time (sec): 14.36 - samples/sec: 11784.35 - lr: 0.100000 +2023-04-05 11:45:31,467 epoch 53 - iter 252/280 - loss 0.02574224 - time (sec): 16.13 - samples/sec: 11825.58 - lr: 0.100000 +2023-04-05 11:45:33,264 epoch 53 - iter 280/280 - loss 0.02595837 - time (sec): 17.93 - samples/sec: 11806.11 - lr: 0.100000 +2023-04-05 11:45:33,265 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:45:33,265 EPOCH 53 done: loss 0.0260 - lr 0.100000 +2023-04-05 11:45:33,265 BAD EPOCHS (no improvement): 0 +2023-04-05 11:45:33,268 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:45:35,085 epoch 54 - iter 28/280 - loss 0.02266209 - time (sec): 1.82 - samples/sec: 11721.92 - lr: 0.100000 +2023-04-05 11:45:36,812 epoch 54 - iter 56/280 - loss 0.02346853 - time (sec): 3.54 - samples/sec: 11871.18 - lr: 0.100000 +2023-04-05 11:45:38,626 epoch 54 - iter 84/280 - loss 0.02445412 - time (sec): 5.36 - samples/sec: 11761.12 - lr: 0.100000 +2023-04-05 11:45:40,394 epoch 54 - iter 112/280 - loss 0.02538483 - time (sec): 7.13 - samples/sec: 11784.64 - lr: 0.100000 +2023-04-05 11:45:42,274 epoch 54 - iter 140/280 - loss 0.02514364 - time (sec): 9.01 - samples/sec: 11730.59 - lr: 0.100000 +2023-04-05 11:45:44,060 epoch 54 - iter 168/280 - loss 0.02503993 - time (sec): 10.79 - samples/sec: 11702.27 - lr: 0.100000 +2023-04-05 11:45:45,875 epoch 54 - iter 196/280 - loss 0.02473764 - time (sec): 12.61 - samples/sec: 11727.31 - lr: 0.100000 +2023-04-05 11:45:47,709 epoch 54 - iter 224/280 - loss 0.02487582 - time (sec): 14.44 - samples/sec: 11723.03 - lr: 0.100000 +2023-04-05 11:45:49,561 epoch 54 - iter 252/280 - loss 0.02518813 - time (sec): 16.29 - samples/sec: 11727.97 - lr: 0.100000 +2023-04-05 11:45:51,312 epoch 54 - iter 280/280 - loss 0.02523044 - time (sec): 18.04 - samples/sec: 11732.04 - lr: 0.100000 +2023-04-05 11:45:51,312 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:45:51,312 EPOCH 54 done: loss 0.0252 - lr 0.100000 +2023-04-05 11:45:51,312 BAD EPOCHS (no improvement): 0 +2023-04-05 11:45:51,315 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:45:53,095 epoch 55 - iter 28/280 - loss 0.02419197 - time (sec): 1.78 - samples/sec: 11657.83 - lr: 0.100000 +2023-04-05 11:45:54,895 epoch 55 - iter 56/280 - loss 0.02390033 - time (sec): 3.58 - samples/sec: 11763.92 - lr: 0.100000 +2023-04-05 11:45:56,670 epoch 55 - iter 84/280 - loss 0.02326678 - time (sec): 5.36 - samples/sec: 11838.22 - lr: 0.100000 +2023-04-05 11:45:58,516 epoch 55 - iter 112/280 - loss 0.02357985 - time (sec): 7.20 - samples/sec: 11771.52 - lr: 0.100000 +2023-04-05 11:46:00,367 epoch 55 - iter 140/280 - loss 0.02334431 - time (sec): 9.05 - samples/sec: 11676.62 - lr: 0.100000 +2023-04-05 11:46:02,209 epoch 55 - iter 168/280 - loss 0.02453248 - time (sec): 10.89 - samples/sec: 11700.92 - lr: 0.100000 +2023-04-05 11:46:04,035 epoch 55 - iter 196/280 - loss 0.02460046 - time (sec): 12.72 - samples/sec: 11711.65 - lr: 0.100000 +2023-04-05 11:46:05,822 epoch 55 - iter 224/280 - loss 0.02451103 - time (sec): 14.51 - samples/sec: 11745.80 - lr: 0.100000 +2023-04-05 11:46:07,569 epoch 55 - iter 252/280 - loss 0.02475261 - time (sec): 16.25 - samples/sec: 11739.64 - lr: 0.100000 +2023-04-05 11:46:09,275 epoch 55 - iter 280/280 - loss 0.02505652 - time (sec): 17.96 - samples/sec: 11786.38 - lr: 0.100000 +2023-04-05 11:46:09,276 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:46:09,276 EPOCH 55 done: loss 0.0251 - lr 0.100000 +2023-04-05 11:46:09,276 BAD EPOCHS (no improvement): 0 +2023-04-05 11:46:09,279 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:46:11,121 epoch 56 - iter 28/280 - loss 0.02534903 - time (sec): 1.84 - samples/sec: 11537.50 - lr: 0.100000 +2023-04-05 11:46:12,952 epoch 56 - iter 56/280 - loss 0.02312786 - time (sec): 3.67 - samples/sec: 11590.10 - lr: 0.100000 +2023-04-05 11:46:14,764 epoch 56 - iter 84/280 - loss 0.02350779 - time (sec): 5.49 - samples/sec: 11640.24 - lr: 0.100000 +2023-04-05 11:46:16,592 epoch 56 - iter 112/280 - loss 0.02437309 - time (sec): 7.31 - samples/sec: 11651.13 - lr: 0.100000 +2023-04-05 11:46:18,433 epoch 56 - iter 140/280 - loss 0.02497722 - time (sec): 9.15 - samples/sec: 11666.28 - lr: 0.100000 +2023-04-05 11:46:20,224 epoch 56 - iter 168/280 - loss 0.02502714 - time (sec): 10.95 - samples/sec: 11688.51 - lr: 0.100000 +2023-04-05 11:46:21,994 epoch 56 - iter 196/280 - loss 0.02447913 - time (sec): 12.72 - samples/sec: 11736.33 - lr: 0.100000 +2023-04-05 11:46:23,758 epoch 56 - iter 224/280 - loss 0.02436970 - time (sec): 14.48 - samples/sec: 11753.58 - lr: 0.100000 +2023-04-05 11:46:25,625 epoch 56 - iter 252/280 - loss 0.02461723 - time (sec): 16.35 - samples/sec: 11720.79 - lr: 0.100000 +2023-04-05 11:46:27,343 epoch 56 - iter 280/280 - loss 0.02473187 - time (sec): 18.06 - samples/sec: 11718.65 - lr: 0.100000 +2023-04-05 11:46:27,344 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:46:27,344 EPOCH 56 done: loss 0.0247 - lr 0.100000 +2023-04-05 11:46:27,344 BAD EPOCHS (no improvement): 0 +2023-04-05 11:46:27,347 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:46:29,165 epoch 57 - iter 28/280 - loss 0.02300805 - time (sec): 1.82 - samples/sec: 11918.47 - lr: 0.100000 +2023-04-05 11:46:31,071 epoch 57 - iter 56/280 - loss 0.02443349 - time (sec): 3.72 - samples/sec: 11661.30 - lr: 0.100000 +2023-04-05 11:46:32,831 epoch 57 - iter 84/280 - loss 0.02385236 - time (sec): 5.48 - samples/sec: 11774.37 - lr: 0.100000 +2023-04-05 11:46:34,559 epoch 57 - iter 112/280 - loss 0.02480441 - time (sec): 7.21 - samples/sec: 11857.70 - lr: 0.100000 +2023-04-05 11:46:36,389 epoch 57 - iter 140/280 - loss 0.02529544 - time (sec): 9.04 - samples/sec: 11836.25 - lr: 0.100000 +2023-04-05 11:46:38,158 epoch 57 - iter 168/280 - loss 0.02547511 - time (sec): 10.81 - samples/sec: 11830.68 - lr: 0.100000 +2023-04-05 11:46:39,909 epoch 57 - iter 196/280 - loss 0.02566177 - time (sec): 12.56 - samples/sec: 11838.22 - lr: 0.100000 +2023-04-05 11:46:41,767 epoch 57 - iter 224/280 - loss 0.02583997 - time (sec): 14.42 - samples/sec: 11801.28 - lr: 0.100000 +2023-04-05 11:46:43,555 epoch 57 - iter 252/280 - loss 0.02549325 - time (sec): 16.21 - samples/sec: 11813.12 - lr: 0.100000 +2023-04-05 11:46:45,288 epoch 57 - iter 280/280 - loss 0.02543841 - time (sec): 17.94 - samples/sec: 11799.28 - lr: 0.100000 +2023-04-05 11:46:45,288 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:46:45,288 EPOCH 57 done: loss 0.0254 - lr 0.100000 +2023-04-05 11:46:45,288 BAD EPOCHS (no improvement): 1 +2023-04-05 11:46:45,291 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:46:47,028 epoch 58 - iter 28/280 - loss 0.02102086 - time (sec): 1.74 - samples/sec: 11827.35 - lr: 0.100000 +2023-04-05 11:46:48,858 epoch 58 - iter 56/280 - loss 0.02181777 - time (sec): 3.57 - samples/sec: 11693.47 - lr: 0.100000 +2023-04-05 11:46:50,653 epoch 58 - iter 84/280 - loss 0.02283550 - time (sec): 5.36 - samples/sec: 11811.40 - lr: 0.100000 +2023-04-05 11:46:52,438 epoch 58 - iter 112/280 - loss 0.02324083 - time (sec): 7.15 - samples/sec: 11844.21 - lr: 0.100000 +2023-04-05 11:46:54,211 epoch 58 - iter 140/280 - loss 0.02409030 - time (sec): 8.92 - samples/sec: 11815.01 - lr: 0.100000 +2023-04-05 11:46:56,021 epoch 58 - iter 168/280 - loss 0.02362296 - time (sec): 10.73 - samples/sec: 11840.57 - lr: 0.100000 +2023-04-05 11:46:57,852 epoch 58 - iter 196/280 - loss 0.02361396 - time (sec): 12.56 - samples/sec: 11828.75 - lr: 0.100000 +2023-04-05 11:46:59,698 epoch 58 - iter 224/280 - loss 0.02422569 - time (sec): 14.41 - samples/sec: 11797.26 - lr: 0.100000 +2023-04-05 11:47:02,950 epoch 58 - iter 252/280 - loss 0.02416822 - time (sec): 17.66 - samples/sec: 10835.21 - lr: 0.100000 +2023-04-05 11:47:04,731 epoch 58 - iter 280/280 - loss 0.02446460 - time (sec): 19.44 - samples/sec: 10889.42 - lr: 0.100000 +2023-04-05 11:47:04,732 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:47:04,732 EPOCH 58 done: loss 0.0245 - lr 0.100000 +2023-04-05 11:47:04,732 BAD EPOCHS (no improvement): 0 +2023-04-05 11:47:04,735 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:47:06,541 epoch 59 - iter 28/280 - loss 0.02619119 - time (sec): 1.81 - samples/sec: 11788.65 - lr: 0.100000 +2023-04-05 11:47:08,361 epoch 59 - iter 56/280 - loss 0.02429308 - time (sec): 3.63 - samples/sec: 11778.78 - lr: 0.100000 +2023-04-05 11:47:10,134 epoch 59 - iter 84/280 - loss 0.02429658 - time (sec): 5.40 - samples/sec: 11799.85 - lr: 0.100000 +2023-04-05 11:47:11,948 epoch 59 - iter 112/280 - loss 0.02515254 - time (sec): 7.21 - samples/sec: 11789.29 - lr: 0.100000 +2023-04-05 11:47:13,769 epoch 59 - iter 140/280 - loss 0.02469885 - time (sec): 9.03 - samples/sec: 11820.21 - lr: 0.100000 +2023-04-05 11:47:15,523 epoch 59 - iter 168/280 - loss 0.02447338 - time (sec): 10.79 - samples/sec: 11844.87 - lr: 0.100000 +2023-04-05 11:47:17,345 epoch 59 - iter 196/280 - loss 0.02495776 - time (sec): 12.61 - samples/sec: 11833.71 - lr: 0.100000 +2023-04-05 11:47:19,102 epoch 59 - iter 224/280 - loss 0.02497418 - time (sec): 14.37 - samples/sec: 11858.57 - lr: 0.100000 +2023-04-05 11:47:20,829 epoch 59 - iter 252/280 - loss 0.02465591 - time (sec): 16.09 - samples/sec: 11861.35 - lr: 0.100000 +2023-04-05 11:47:22,581 epoch 59 - iter 280/280 - loss 0.02507243 - time (sec): 17.85 - samples/sec: 11862.29 - lr: 0.100000 +2023-04-05 11:47:22,581 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:47:22,581 EPOCH 59 done: loss 0.0251 - lr 0.100000 +2023-04-05 11:47:22,581 BAD EPOCHS (no improvement): 1 +2023-04-05 11:47:22,584 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:47:24,360 epoch 60 - iter 28/280 - loss 0.02113266 - time (sec): 1.78 - samples/sec: 11928.35 - lr: 0.100000 +2023-04-05 11:47:26,155 epoch 60 - iter 56/280 - loss 0.02145107 - time (sec): 3.57 - samples/sec: 11872.75 - lr: 0.100000 +2023-04-05 11:47:27,970 epoch 60 - iter 84/280 - loss 0.02205379 - time (sec): 5.39 - samples/sec: 11874.60 - lr: 0.100000 +2023-04-05 11:47:29,755 epoch 60 - iter 112/280 - loss 0.02269022 - time (sec): 7.17 - samples/sec: 11861.87 - lr: 0.100000 +2023-04-05 11:47:31,594 epoch 60 - iter 140/280 - loss 0.02282305 - time (sec): 9.01 - samples/sec: 11818.68 - lr: 0.100000 +2023-04-05 11:47:33,486 epoch 60 - iter 168/280 - loss 0.02345920 - time (sec): 10.90 - samples/sec: 11731.73 - lr: 0.100000 +2023-04-05 11:47:35,307 epoch 60 - iter 196/280 - loss 0.02317190 - time (sec): 12.72 - samples/sec: 11729.85 - lr: 0.100000 +2023-04-05 11:47:37,088 epoch 60 - iter 224/280 - loss 0.02340442 - time (sec): 14.50 - samples/sec: 11718.86 - lr: 0.100000 +2023-04-05 11:47:38,884 epoch 60 - iter 252/280 - loss 0.02340842 - time (sec): 16.30 - samples/sec: 11717.21 - lr: 0.100000 +2023-04-05 11:47:40,667 epoch 60 - iter 280/280 - loss 0.02382782 - time (sec): 18.08 - samples/sec: 11706.96 - lr: 0.100000 +2023-04-05 11:47:40,667 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:47:40,667 EPOCH 60 done: loss 0.0238 - lr 0.100000 +2023-04-05 11:47:40,667 BAD EPOCHS (no improvement): 0 +2023-04-05 11:47:40,670 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:47:42,508 epoch 61 - iter 28/280 - loss 0.02188785 - time (sec): 1.84 - samples/sec: 11782.04 - lr: 0.100000 +2023-04-05 11:47:44,271 epoch 61 - iter 56/280 - loss 0.02242564 - time (sec): 3.60 - samples/sec: 11821.43 - lr: 0.100000 +2023-04-05 11:47:46,085 epoch 61 - iter 84/280 - loss 0.02297340 - time (sec): 5.42 - samples/sec: 11778.55 - lr: 0.100000 +2023-04-05 11:47:47,880 epoch 61 - iter 112/280 - loss 0.02249226 - time (sec): 7.21 - samples/sec: 11752.88 - lr: 0.100000 +2023-04-05 11:47:49,655 epoch 61 - iter 140/280 - loss 0.02255858 - time (sec): 8.99 - samples/sec: 11727.47 - lr: 0.100000 +2023-04-05 11:47:51,450 epoch 61 - iter 168/280 - loss 0.02330611 - time (sec): 10.78 - samples/sec: 11754.71 - lr: 0.100000 +2023-04-05 11:47:53,257 epoch 61 - iter 196/280 - loss 0.02347869 - time (sec): 12.59 - samples/sec: 11767.26 - lr: 0.100000 +2023-04-05 11:47:55,094 epoch 61 - iter 224/280 - loss 0.02357455 - time (sec): 14.42 - samples/sec: 11756.03 - lr: 0.100000 +2023-04-05 11:47:56,896 epoch 61 - iter 252/280 - loss 0.02331765 - time (sec): 16.23 - samples/sec: 11748.69 - lr: 0.100000 +2023-04-05 11:47:58,695 epoch 61 - iter 280/280 - loss 0.02335792 - time (sec): 18.03 - samples/sec: 11744.17 - lr: 0.100000 +2023-04-05 11:47:58,695 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:47:58,695 EPOCH 61 done: loss 0.0234 - lr 0.100000 +2023-04-05 11:47:58,695 BAD EPOCHS (no improvement): 0 +2023-04-05 11:47:58,697 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:48:00,512 epoch 62 - iter 28/280 - loss 0.02323850 - time (sec): 1.81 - samples/sec: 11839.29 - lr: 0.100000 +2023-04-05 11:48:02,268 epoch 62 - iter 56/280 - loss 0.02418270 - time (sec): 3.57 - samples/sec: 11981.55 - lr: 0.100000 +2023-04-05 11:48:04,073 epoch 62 - iter 84/280 - loss 0.02399754 - time (sec): 5.38 - samples/sec: 11947.92 - lr: 0.100000 +2023-04-05 11:48:05,910 epoch 62 - iter 112/280 - loss 0.02400588 - time (sec): 7.21 - samples/sec: 11942.51 - lr: 0.100000 +2023-04-05 11:48:07,710 epoch 62 - iter 140/280 - loss 0.02466488 - time (sec): 9.01 - samples/sec: 11944.01 - lr: 0.100000 +2023-04-05 11:48:09,527 epoch 62 - iter 168/280 - loss 0.02430790 - time (sec): 10.83 - samples/sec: 11824.20 - lr: 0.100000 +2023-04-05 11:48:11,352 epoch 62 - iter 196/280 - loss 0.02400981 - time (sec): 12.65 - samples/sec: 11798.90 - lr: 0.100000 +2023-04-05 11:48:13,164 epoch 62 - iter 224/280 - loss 0.02408896 - time (sec): 14.47 - samples/sec: 11762.72 - lr: 0.100000 +2023-04-05 11:48:14,952 epoch 62 - iter 252/280 - loss 0.02416502 - time (sec): 16.25 - samples/sec: 11760.69 - lr: 0.100000 +2023-04-05 11:48:16,705 epoch 62 - iter 280/280 - loss 0.02405755 - time (sec): 18.01 - samples/sec: 11755.45 - lr: 0.100000 +2023-04-05 11:48:16,706 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:48:16,706 EPOCH 62 done: loss 0.0241 - lr 0.100000 +2023-04-05 11:48:16,706 BAD EPOCHS (no improvement): 1 +2023-04-05 11:48:16,709 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:48:18,500 epoch 63 - iter 28/280 - loss 0.02399210 - time (sec): 1.79 - samples/sec: 11865.63 - lr: 0.100000 +2023-04-05 11:48:20,351 epoch 63 - iter 56/280 - loss 0.02311333 - time (sec): 3.64 - samples/sec: 11764.21 - lr: 0.100000 +2023-04-05 11:48:22,168 epoch 63 - iter 84/280 - loss 0.02283618 - time (sec): 5.46 - samples/sec: 11743.53 - lr: 0.100000 +2023-04-05 11:48:23,951 epoch 63 - iter 112/280 - loss 0.02289443 - time (sec): 7.24 - samples/sec: 11781.37 - lr: 0.100000 +2023-04-05 11:48:25,784 epoch 63 - iter 140/280 - loss 0.02282495 - time (sec): 9.07 - samples/sec: 11784.54 - lr: 0.100000 +2023-04-05 11:48:27,502 epoch 63 - iter 168/280 - loss 0.02239201 - time (sec): 10.79 - samples/sec: 11828.14 - lr: 0.100000 +2023-04-05 11:48:29,288 epoch 63 - iter 196/280 - loss 0.02290296 - time (sec): 12.58 - samples/sec: 11855.04 - lr: 0.100000 +2023-04-05 11:48:31,061 epoch 63 - iter 224/280 - loss 0.02269834 - time (sec): 14.35 - samples/sec: 11836.38 - lr: 0.100000 +2023-04-05 11:48:32,875 epoch 63 - iter 252/280 - loss 0.02259157 - time (sec): 16.17 - samples/sec: 11850.83 - lr: 0.100000 +2023-04-05 11:48:34,629 epoch 63 - iter 280/280 - loss 0.02291769 - time (sec): 17.92 - samples/sec: 11813.53 - lr: 0.100000 +2023-04-05 11:48:34,629 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:48:34,629 EPOCH 63 done: loss 0.0229 - lr 0.100000 +2023-04-05 11:48:34,629 BAD EPOCHS (no improvement): 0 +2023-04-05 11:48:34,632 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:48:36,416 epoch 64 - iter 28/280 - loss 0.02256941 - time (sec): 1.78 - samples/sec: 12046.75 - lr: 0.100000 +2023-04-05 11:48:38,220 epoch 64 - iter 56/280 - loss 0.02283717 - time (sec): 3.59 - samples/sec: 12080.67 - lr: 0.100000 +2023-04-05 11:48:40,072 epoch 64 - iter 84/280 - loss 0.02293735 - time (sec): 5.44 - samples/sec: 11894.21 - lr: 0.100000 +2023-04-05 11:48:41,928 epoch 64 - iter 112/280 - loss 0.02269072 - time (sec): 7.30 - samples/sec: 11826.81 - lr: 0.100000 +2023-04-05 11:48:43,696 epoch 64 - iter 140/280 - loss 0.02339030 - time (sec): 9.06 - samples/sec: 11859.71 - lr: 0.100000 +2023-04-05 11:48:45,516 epoch 64 - iter 168/280 - loss 0.02326319 - time (sec): 10.88 - samples/sec: 11814.03 - lr: 0.100000 +2023-04-05 11:48:47,310 epoch 64 - iter 196/280 - loss 0.02272604 - time (sec): 12.68 - samples/sec: 11823.75 - lr: 0.100000 +2023-04-05 11:48:49,113 epoch 64 - iter 224/280 - loss 0.02247590 - time (sec): 14.48 - samples/sec: 11828.52 - lr: 0.100000 +2023-04-05 11:48:50,940 epoch 64 - iter 252/280 - loss 0.02279041 - time (sec): 16.31 - samples/sec: 11758.11 - lr: 0.100000 +2023-04-05 11:48:52,669 epoch 64 - iter 280/280 - loss 0.02302565 - time (sec): 18.04 - samples/sec: 11736.76 - lr: 0.100000 +2023-04-05 11:48:52,669 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:48:52,669 EPOCH 64 done: loss 0.0230 - lr 0.100000 +2023-04-05 11:48:52,669 BAD EPOCHS (no improvement): 1 +2023-04-05 11:48:52,672 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:48:54,483 epoch 65 - iter 28/280 - loss 0.02109243 - time (sec): 1.81 - samples/sec: 11720.69 - lr: 0.100000 +2023-04-05 11:48:56,278 epoch 65 - iter 56/280 - loss 0.02157008 - time (sec): 3.61 - samples/sec: 11860.30 - lr: 0.100000 +2023-04-05 11:48:58,069 epoch 65 - iter 84/280 - loss 0.02115013 - time (sec): 5.40 - samples/sec: 11777.23 - lr: 0.100000 +2023-04-05 11:48:59,872 epoch 65 - iter 112/280 - loss 0.02153102 - time (sec): 7.20 - samples/sec: 11748.63 - lr: 0.100000 +2023-04-05 11:49:01,683 epoch 65 - iter 140/280 - loss 0.02208391 - time (sec): 9.01 - samples/sec: 11757.75 - lr: 0.100000 +2023-04-05 11:49:03,468 epoch 65 - iter 168/280 - loss 0.02213290 - time (sec): 10.80 - samples/sec: 11766.42 - lr: 0.100000 +2023-04-05 11:49:05,233 epoch 65 - iter 196/280 - loss 0.02250858 - time (sec): 12.56 - samples/sec: 11792.34 - lr: 0.100000 +2023-04-05 11:49:07,029 epoch 65 - iter 224/280 - loss 0.02244799 - time (sec): 14.36 - samples/sec: 11810.18 - lr: 0.100000 +2023-04-05 11:49:08,849 epoch 65 - iter 252/280 - loss 0.02239353 - time (sec): 16.18 - samples/sec: 11789.44 - lr: 0.100000 +2023-04-05 11:49:10,597 epoch 65 - iter 280/280 - loss 0.02259849 - time (sec): 17.93 - samples/sec: 11809.53 - lr: 0.100000 +2023-04-05 11:49:10,597 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:49:10,598 EPOCH 65 done: loss 0.0226 - lr 0.100000 +2023-04-05 11:49:10,598 BAD EPOCHS (no improvement): 0 +2023-04-05 11:49:10,600 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:49:12,439 epoch 66 - iter 28/280 - loss 0.02173673 - time (sec): 1.84 - samples/sec: 11630.28 - lr: 0.100000 +2023-04-05 11:49:14,352 epoch 66 - iter 56/280 - loss 0.02164669 - time (sec): 3.75 - samples/sec: 11389.82 - lr: 0.100000 +2023-04-05 11:49:16,177 epoch 66 - iter 84/280 - loss 0.02117474 - time (sec): 5.58 - samples/sec: 11438.32 - lr: 0.100000 +2023-04-05 11:49:17,979 epoch 66 - iter 112/280 - loss 0.02168819 - time (sec): 7.38 - samples/sec: 11518.55 - lr: 0.100000 +2023-04-05 11:49:19,865 epoch 66 - iter 140/280 - loss 0.02228495 - time (sec): 9.26 - samples/sec: 11500.09 - lr: 0.100000 +2023-04-05 11:49:21,678 epoch 66 - iter 168/280 - loss 0.02238455 - time (sec): 11.08 - samples/sec: 11498.08 - lr: 0.100000 +2023-04-05 11:49:23,544 epoch 66 - iter 196/280 - loss 0.02269903 - time (sec): 12.94 - samples/sec: 11468.78 - lr: 0.100000 +2023-04-05 11:49:25,472 epoch 66 - iter 224/280 - loss 0.02294796 - time (sec): 14.87 - samples/sec: 11422.39 - lr: 0.100000 +2023-04-05 11:49:27,332 epoch 66 - iter 252/280 - loss 0.02301732 - time (sec): 16.73 - samples/sec: 11429.27 - lr: 0.100000 +2023-04-05 11:49:29,139 epoch 66 - iter 280/280 - loss 0.02321416 - time (sec): 18.54 - samples/sec: 11419.00 - lr: 0.100000 +2023-04-05 11:49:29,139 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:49:29,139 EPOCH 66 done: loss 0.0232 - lr 0.100000 +2023-04-05 11:49:29,139 BAD EPOCHS (no improvement): 1 +2023-04-05 11:49:29,142 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:49:30,937 epoch 67 - iter 28/280 - loss 0.02118564 - time (sec): 1.80 - samples/sec: 11651.72 - lr: 0.100000 +2023-04-05 11:49:32,738 epoch 67 - iter 56/280 - loss 0.02083372 - time (sec): 3.60 - samples/sec: 11722.32 - lr: 0.100000 +2023-04-05 11:49:34,668 epoch 67 - iter 84/280 - loss 0.02069451 - time (sec): 5.53 - samples/sec: 11528.32 - lr: 0.100000 +2023-04-05 11:49:36,428 epoch 67 - iter 112/280 - loss 0.02137567 - time (sec): 7.29 - samples/sec: 11648.89 - lr: 0.100000 +2023-04-05 11:49:38,263 epoch 67 - iter 140/280 - loss 0.02156501 - time (sec): 9.12 - samples/sec: 11644.34 - lr: 0.100000 +2023-04-05 11:49:40,047 epoch 67 - iter 168/280 - loss 0.02227597 - time (sec): 10.91 - samples/sec: 11691.65 - lr: 0.100000 +2023-04-05 11:49:41,847 epoch 67 - iter 196/280 - loss 0.02273584 - time (sec): 12.71 - samples/sec: 11697.50 - lr: 0.100000 +2023-04-05 11:49:43,742 epoch 67 - iter 224/280 - loss 0.02281440 - time (sec): 14.60 - samples/sec: 11656.97 - lr: 0.100000 +2023-04-05 11:49:45,576 epoch 67 - iter 252/280 - loss 0.02269671 - time (sec): 16.43 - samples/sec: 11645.39 - lr: 0.100000 +2023-04-05 11:49:47,322 epoch 67 - iter 280/280 - loss 0.02260637 - time (sec): 18.18 - samples/sec: 11644.08 - lr: 0.100000 +2023-04-05 11:49:47,322 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:49:47,322 EPOCH 67 done: loss 0.0226 - lr 0.100000 +2023-04-05 11:49:47,322 BAD EPOCHS (no improvement): 2 +2023-04-05 11:49:47,325 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:49:49,145 epoch 68 - iter 28/280 - loss 0.01995264 - time (sec): 1.82 - samples/sec: 11760.90 - lr: 0.100000 +2023-04-05 11:49:50,925 epoch 68 - iter 56/280 - loss 0.02301703 - time (sec): 3.60 - samples/sec: 11685.25 - lr: 0.100000 +2023-04-05 11:49:52,853 epoch 68 - iter 84/280 - loss 0.02168046 - time (sec): 5.53 - samples/sec: 11463.48 - lr: 0.100000 +2023-04-05 11:49:54,695 epoch 68 - iter 112/280 - loss 0.02146049 - time (sec): 7.37 - samples/sec: 11497.24 - lr: 0.100000 +2023-04-05 11:49:56,551 epoch 68 - iter 140/280 - loss 0.02188571 - time (sec): 9.23 - samples/sec: 11465.11 - lr: 0.100000 +2023-04-05 11:49:58,447 epoch 68 - iter 168/280 - loss 0.02185243 - time (sec): 11.12 - samples/sec: 11428.60 - lr: 0.100000 +2023-04-05 11:50:00,327 epoch 68 - iter 196/280 - loss 0.02184818 - time (sec): 13.00 - samples/sec: 11393.16 - lr: 0.100000 +2023-04-05 11:50:02,208 epoch 68 - iter 224/280 - loss 0.02168539 - time (sec): 14.88 - samples/sec: 11381.98 - lr: 0.100000 +2023-04-05 11:50:04,163 epoch 68 - iter 252/280 - loss 0.02169250 - time (sec): 16.84 - samples/sec: 11354.46 - lr: 0.100000 +2023-04-05 11:50:05,996 epoch 68 - iter 280/280 - loss 0.02202710 - time (sec): 18.67 - samples/sec: 11337.80 - lr: 0.100000 +2023-04-05 11:50:05,996 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:50:05,996 EPOCH 68 done: loss 0.0220 - lr 0.100000 +2023-04-05 11:50:05,997 BAD EPOCHS (no improvement): 0 +2023-04-05 11:50:05,999 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:50:07,855 epoch 69 - iter 28/280 - loss 0.02384428 - time (sec): 1.86 - samples/sec: 11205.34 - lr: 0.100000 +2023-04-05 11:50:09,712 epoch 69 - iter 56/280 - loss 0.02214349 - time (sec): 3.71 - samples/sec: 11346.57 - lr: 0.100000 +2023-04-05 11:50:11,580 epoch 69 - iter 84/280 - loss 0.02205930 - time (sec): 5.58 - samples/sec: 11352.85 - lr: 0.100000 +2023-04-05 11:50:13,515 epoch 69 - iter 112/280 - loss 0.02269737 - time (sec): 7.52 - samples/sec: 11288.43 - lr: 0.100000 +2023-04-05 11:50:15,316 epoch 69 - iter 140/280 - loss 0.02233032 - time (sec): 9.32 - samples/sec: 11335.06 - lr: 0.100000 +2023-04-05 11:50:17,095 epoch 69 - iter 168/280 - loss 0.02254028 - time (sec): 11.10 - samples/sec: 11378.08 - lr: 0.100000 +2023-04-05 11:50:18,893 epoch 69 - iter 196/280 - loss 0.02286921 - time (sec): 12.89 - samples/sec: 11429.12 - lr: 0.100000 +2023-04-05 11:50:20,697 epoch 69 - iter 224/280 - loss 0.02247976 - time (sec): 14.70 - samples/sec: 11499.50 - lr: 0.100000 +2023-04-05 11:50:22,502 epoch 69 - iter 252/280 - loss 0.02243047 - time (sec): 16.50 - samples/sec: 11533.11 - lr: 0.100000 +2023-04-05 11:50:24,306 epoch 69 - iter 280/280 - loss 0.02259251 - time (sec): 18.31 - samples/sec: 11563.56 - lr: 0.100000 +2023-04-05 11:50:24,306 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:50:24,306 EPOCH 69 done: loss 0.0226 - lr 0.100000 +2023-04-05 11:50:24,306 BAD EPOCHS (no improvement): 1 +2023-04-05 11:50:24,309 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:50:26,128 epoch 70 - iter 28/280 - loss 0.02043274 - time (sec): 1.82 - samples/sec: 12043.46 - lr: 0.100000 +2023-04-05 11:50:27,893 epoch 70 - iter 56/280 - loss 0.02185234 - time (sec): 3.58 - samples/sec: 12005.44 - lr: 0.100000 +2023-04-05 11:50:29,701 epoch 70 - iter 84/280 - loss 0.02104883 - time (sec): 5.39 - samples/sec: 11916.91 - lr: 0.100000 +2023-04-05 11:50:31,436 epoch 70 - iter 112/280 - loss 0.02097437 - time (sec): 7.13 - samples/sec: 11971.67 - lr: 0.100000 +2023-04-05 11:50:33,238 epoch 70 - iter 140/280 - loss 0.02153211 - time (sec): 8.93 - samples/sec: 11930.38 - lr: 0.100000 +2023-04-05 11:50:35,047 epoch 70 - iter 168/280 - loss 0.02199826 - time (sec): 10.74 - samples/sec: 11892.64 - lr: 0.100000 +2023-04-05 11:50:36,897 epoch 70 - iter 196/280 - loss 0.02243874 - time (sec): 12.59 - samples/sec: 11835.21 - lr: 0.100000 +2023-04-05 11:50:38,693 epoch 70 - iter 224/280 - loss 0.02245933 - time (sec): 14.38 - samples/sec: 11816.14 - lr: 0.100000 +2023-04-05 11:50:40,516 epoch 70 - iter 252/280 - loss 0.02208386 - time (sec): 16.21 - samples/sec: 11788.31 - lr: 0.100000 +2023-04-05 11:50:42,372 epoch 70 - iter 280/280 - loss 0.02221598 - time (sec): 18.06 - samples/sec: 11719.59 - lr: 0.100000 +2023-04-05 11:50:42,373 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:50:42,373 EPOCH 70 done: loss 0.0222 - lr 0.100000 +2023-04-05 11:50:42,373 BAD EPOCHS (no improvement): 2 +2023-04-05 11:50:42,376 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:50:44,138 epoch 71 - iter 28/280 - loss 0.02135674 - time (sec): 1.76 - samples/sec: 11812.23 - lr: 0.100000 +2023-04-05 11:50:45,971 epoch 71 - iter 56/280 - loss 0.02388856 - time (sec): 3.60 - samples/sec: 11699.07 - lr: 0.100000 +2023-04-05 11:50:47,694 epoch 71 - iter 84/280 - loss 0.02384579 - time (sec): 5.32 - samples/sec: 11827.05 - lr: 0.100000 +2023-04-05 11:50:49,448 epoch 71 - iter 112/280 - loss 0.02313819 - time (sec): 7.07 - samples/sec: 11849.37 - lr: 0.100000 +2023-04-05 11:50:51,283 epoch 71 - iter 140/280 - loss 0.02235630 - time (sec): 8.91 - samples/sec: 11849.30 - lr: 0.100000 +2023-04-05 11:50:53,084 epoch 71 - iter 168/280 - loss 0.02215512 - time (sec): 10.71 - samples/sec: 11834.74 - lr: 0.100000 +2023-04-05 11:50:54,898 epoch 71 - iter 196/280 - loss 0.02187449 - time (sec): 12.52 - samples/sec: 11815.25 - lr: 0.100000 +2023-04-05 11:50:56,703 epoch 71 - iter 224/280 - loss 0.02162644 - time (sec): 14.33 - samples/sec: 11843.04 - lr: 0.100000 +2023-04-05 11:50:58,538 epoch 71 - iter 252/280 - loss 0.02167685 - time (sec): 16.16 - samples/sec: 11818.34 - lr: 0.100000 +2023-04-05 11:51:00,330 epoch 71 - iter 280/280 - loss 0.02160666 - time (sec): 17.95 - samples/sec: 11790.37 - lr: 0.100000 +2023-04-05 11:51:00,331 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:00,331 EPOCH 71 done: loss 0.0216 - lr 0.100000 +2023-04-05 11:51:00,331 BAD EPOCHS (no improvement): 0 +2023-04-05 11:51:00,334 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:02,125 epoch 72 - iter 28/280 - loss 0.01890931 - time (sec): 1.79 - samples/sec: 12039.23 - lr: 0.100000 +2023-04-05 11:51:03,914 epoch 72 - iter 56/280 - loss 0.02099879 - time (sec): 3.58 - samples/sec: 11818.67 - lr: 0.100000 +2023-04-05 11:51:05,666 epoch 72 - iter 84/280 - loss 0.02116803 - time (sec): 5.33 - samples/sec: 11860.73 - lr: 0.100000 +2023-04-05 11:51:07,560 epoch 72 - iter 112/280 - loss 0.02147318 - time (sec): 7.23 - samples/sec: 11785.55 - lr: 0.100000 +2023-04-05 11:51:09,337 epoch 72 - iter 140/280 - loss 0.02120447 - time (sec): 9.00 - samples/sec: 11815.66 - lr: 0.100000 +2023-04-05 11:51:11,159 epoch 72 - iter 168/280 - loss 0.02106742 - time (sec): 10.82 - samples/sec: 11771.86 - lr: 0.100000 +2023-04-05 11:51:13,003 epoch 72 - iter 196/280 - loss 0.02108144 - time (sec): 12.67 - samples/sec: 11749.95 - lr: 0.100000 +2023-04-05 11:51:14,795 epoch 72 - iter 224/280 - loss 0.02124388 - time (sec): 14.46 - samples/sec: 11750.01 - lr: 0.100000 +2023-04-05 11:51:16,617 epoch 72 - iter 252/280 - loss 0.02123163 - time (sec): 16.28 - samples/sec: 11739.45 - lr: 0.100000 +2023-04-05 11:51:18,406 epoch 72 - iter 280/280 - loss 0.02130043 - time (sec): 18.07 - samples/sec: 11714.22 - lr: 0.100000 +2023-04-05 11:51:18,406 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:18,406 EPOCH 72 done: loss 0.0213 - lr 0.100000 +2023-04-05 11:51:18,406 BAD EPOCHS (no improvement): 0 +2023-04-05 11:51:18,408 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:20,177 epoch 73 - iter 28/280 - loss 0.01976903 - time (sec): 1.77 - samples/sec: 11802.86 - lr: 0.100000 +2023-04-05 11:51:22,042 epoch 73 - iter 56/280 - loss 0.02012165 - time (sec): 3.63 - samples/sec: 11745.01 - lr: 0.100000 +2023-04-05 11:51:23,876 epoch 73 - iter 84/280 - loss 0.02110452 - time (sec): 5.47 - samples/sec: 11655.87 - lr: 0.100000 +2023-04-05 11:51:25,730 epoch 73 - iter 112/280 - loss 0.02103326 - time (sec): 7.32 - samples/sec: 11591.09 - lr: 0.100000 +2023-04-05 11:51:27,657 epoch 73 - iter 140/280 - loss 0.02114601 - time (sec): 9.25 - samples/sec: 11528.85 - lr: 0.100000 +2023-04-05 11:51:29,494 epoch 73 - iter 168/280 - loss 0.02116793 - time (sec): 11.09 - samples/sec: 11528.62 - lr: 0.100000 +2023-04-05 11:51:31,360 epoch 73 - iter 196/280 - loss 0.02169981 - time (sec): 12.95 - samples/sec: 11492.76 - lr: 0.100000 +2023-04-05 11:51:33,268 epoch 73 - iter 224/280 - loss 0.02152706 - time (sec): 14.86 - samples/sec: 11458.53 - lr: 0.100000 +2023-04-05 11:51:35,118 epoch 73 - iter 252/280 - loss 0.02150310 - time (sec): 16.71 - samples/sec: 11445.54 - lr: 0.100000 +2023-04-05 11:51:36,928 epoch 73 - iter 280/280 - loss 0.02157205 - time (sec): 18.52 - samples/sec: 11430.48 - lr: 0.100000 +2023-04-05 11:51:36,929 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:36,929 EPOCH 73 done: loss 0.0216 - lr 0.100000 +2023-04-05 11:51:36,929 BAD EPOCHS (no improvement): 1 +2023-04-05 11:51:36,932 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:38,754 epoch 74 - iter 28/280 - loss 0.02098983 - time (sec): 1.82 - samples/sec: 11538.43 - lr: 0.100000 +2023-04-05 11:51:40,544 epoch 74 - iter 56/280 - loss 0.02232177 - time (sec): 3.61 - samples/sec: 11716.26 - lr: 0.100000 +2023-04-05 11:51:42,441 epoch 74 - iter 84/280 - loss 0.02161001 - time (sec): 5.51 - samples/sec: 11514.39 - lr: 0.100000 +2023-04-05 11:51:44,324 epoch 74 - iter 112/280 - loss 0.02150725 - time (sec): 7.39 - samples/sec: 11435.70 - lr: 0.100000 +2023-04-05 11:51:46,311 epoch 74 - iter 140/280 - loss 0.02151222 - time (sec): 9.38 - samples/sec: 11291.40 - lr: 0.100000 +2023-04-05 11:51:48,299 epoch 74 - iter 168/280 - loss 0.02103056 - time (sec): 11.37 - samples/sec: 11162.32 - lr: 0.100000 +2023-04-05 11:51:50,339 epoch 74 - iter 196/280 - loss 0.02144645 - time (sec): 13.41 - samples/sec: 11090.46 - lr: 0.100000 +2023-04-05 11:51:52,337 epoch 74 - iter 224/280 - loss 0.02149728 - time (sec): 15.41 - samples/sec: 11026.00 - lr: 0.100000 +2023-04-05 11:51:54,291 epoch 74 - iter 252/280 - loss 0.02160198 - time (sec): 17.36 - samples/sec: 11014.47 - lr: 0.100000 +2023-04-05 11:51:56,165 epoch 74 - iter 280/280 - loss 0.02192832 - time (sec): 19.23 - samples/sec: 11006.63 - lr: 0.100000 +2023-04-05 11:51:56,165 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:56,165 EPOCH 74 done: loss 0.0219 - lr 0.100000 +2023-04-05 11:51:56,165 BAD EPOCHS (no improvement): 2 +2023-04-05 11:51:56,168 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:51:58,145 epoch 75 - iter 28/280 - loss 0.02163516 - time (sec): 1.98 - samples/sec: 10959.87 - lr: 0.100000 +2023-04-05 11:52:00,155 epoch 75 - iter 56/280 - loss 0.02022709 - time (sec): 3.99 - samples/sec: 10698.71 - lr: 0.100000 +2023-04-05 11:52:02,113 epoch 75 - iter 84/280 - loss 0.01975822 - time (sec): 5.95 - samples/sec: 10746.03 - lr: 0.100000 +2023-04-05 11:52:04,081 epoch 75 - iter 112/280 - loss 0.01920793 - time (sec): 7.91 - samples/sec: 10697.91 - lr: 0.100000 +2023-04-05 11:52:06,058 epoch 75 - iter 140/280 - loss 0.02015015 - time (sec): 9.89 - samples/sec: 10655.64 - lr: 0.100000 +2023-04-05 11:52:07,993 epoch 75 - iter 168/280 - loss 0.01994776 - time (sec): 11.82 - samples/sec: 10689.25 - lr: 0.100000 +2023-04-05 11:52:10,004 epoch 75 - iter 196/280 - loss 0.02006121 - time (sec): 13.84 - samples/sec: 10654.79 - lr: 0.100000 +2023-04-05 11:52:11,996 epoch 75 - iter 224/280 - loss 0.02013890 - time (sec): 15.83 - samples/sec: 10679.64 - lr: 0.100000 +2023-04-05 11:52:13,984 epoch 75 - iter 252/280 - loss 0.02005821 - time (sec): 17.82 - samples/sec: 10718.56 - lr: 0.100000 +2023-04-05 11:52:15,962 epoch 75 - iter 280/280 - loss 0.02010611 - time (sec): 19.79 - samples/sec: 10694.62 - lr: 0.100000 +2023-04-05 11:52:15,962 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:52:15,962 EPOCH 75 done: loss 0.0201 - lr 0.100000 +2023-04-05 11:52:15,962 BAD EPOCHS (no improvement): 0 +2023-04-05 11:52:15,966 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:52:17,913 epoch 76 - iter 28/280 - loss 0.02009897 - time (sec): 1.95 - samples/sec: 10528.73 - lr: 0.100000 +2023-04-05 11:52:19,913 epoch 76 - iter 56/280 - loss 0.02041120 - time (sec): 3.95 - samples/sec: 10793.65 - lr: 0.100000 +2023-04-05 11:52:21,821 epoch 76 - iter 84/280 - loss 0.02021270 - time (sec): 5.85 - samples/sec: 10799.07 - lr: 0.100000 +2023-04-05 11:52:23,776 epoch 76 - iter 112/280 - loss 0.02062628 - time (sec): 7.81 - samples/sec: 10791.17 - lr: 0.100000 +2023-04-05 11:52:25,752 epoch 76 - iter 140/280 - loss 0.02060800 - time (sec): 9.79 - samples/sec: 10792.35 - lr: 0.100000 +2023-04-05 11:52:27,762 epoch 76 - iter 168/280 - loss 0.02062550 - time (sec): 11.80 - samples/sec: 10779.58 - lr: 0.100000 +2023-04-05 11:52:29,825 epoch 76 - iter 196/280 - loss 0.02044274 - time (sec): 13.86 - samples/sec: 10693.55 - lr: 0.100000 +2023-04-05 11:52:31,860 epoch 76 - iter 224/280 - loss 0.02058202 - time (sec): 15.89 - samples/sec: 10676.97 - lr: 0.100000 +2023-04-05 11:52:33,844 epoch 76 - iter 252/280 - loss 0.02050834 - time (sec): 17.88 - samples/sec: 10699.86 - lr: 0.100000 +2023-04-05 11:52:35,786 epoch 76 - iter 280/280 - loss 0.02065733 - time (sec): 19.82 - samples/sec: 10680.96 - lr: 0.100000 +2023-04-05 11:52:35,786 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:52:35,786 EPOCH 76 done: loss 0.0207 - lr 0.100000 +2023-04-05 11:52:35,786 BAD EPOCHS (no improvement): 1 +2023-04-05 11:52:35,789 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:52:37,656 epoch 77 - iter 28/280 - loss 0.01708299 - time (sec): 1.87 - samples/sec: 11328.85 - lr: 0.100000 +2023-04-05 11:52:39,508 epoch 77 - iter 56/280 - loss 0.01835746 - time (sec): 3.72 - samples/sec: 11216.92 - lr: 0.100000 +2023-04-05 11:52:41,457 epoch 77 - iter 84/280 - loss 0.01816650 - time (sec): 5.67 - samples/sec: 11046.04 - lr: 0.100000 +2023-04-05 11:52:43,471 epoch 77 - iter 112/280 - loss 0.01800813 - time (sec): 7.68 - samples/sec: 11005.54 - lr: 0.100000 +2023-04-05 11:52:45,481 epoch 77 - iter 140/280 - loss 0.01872334 - time (sec): 9.69 - samples/sec: 10905.81 - lr: 0.100000 +2023-04-05 11:52:47,452 epoch 77 - iter 168/280 - loss 0.01877902 - time (sec): 11.66 - samples/sec: 10864.91 - lr: 0.100000 +2023-04-05 11:52:49,467 epoch 77 - iter 196/280 - loss 0.01931188 - time (sec): 13.68 - samples/sec: 10831.79 - lr: 0.100000 +2023-04-05 11:52:51,434 epoch 77 - iter 224/280 - loss 0.01892929 - time (sec): 15.65 - samples/sec: 10786.03 - lr: 0.100000 +2023-04-05 11:52:53,477 epoch 77 - iter 252/280 - loss 0.01900827 - time (sec): 17.69 - samples/sec: 10753.37 - lr: 0.100000 +2023-04-05 11:52:55,491 epoch 77 - iter 280/280 - loss 0.01923144 - time (sec): 19.70 - samples/sec: 10744.68 - lr: 0.100000 +2023-04-05 11:52:55,491 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:52:55,491 EPOCH 77 done: loss 0.0192 - lr 0.100000 +2023-04-05 11:52:55,491 BAD EPOCHS (no improvement): 0 +2023-04-05 11:52:55,494 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:52:57,541 epoch 78 - iter 28/280 - loss 0.01864592 - time (sec): 2.05 - samples/sec: 10644.55 - lr: 0.100000 +2023-04-05 11:52:59,641 epoch 78 - iter 56/280 - loss 0.01924173 - time (sec): 4.15 - samples/sec: 10454.88 - lr: 0.100000 +2023-04-05 11:53:01,587 epoch 78 - iter 84/280 - loss 0.02014696 - time (sec): 6.09 - samples/sec: 10579.81 - lr: 0.100000 +2023-04-05 11:53:03,600 epoch 78 - iter 112/280 - loss 0.02033438 - time (sec): 8.11 - samples/sec: 10532.85 - lr: 0.100000 +2023-04-05 11:53:05,598 epoch 78 - iter 140/280 - loss 0.02047643 - time (sec): 10.10 - samples/sec: 10571.05 - lr: 0.100000 +2023-04-05 11:53:07,574 epoch 78 - iter 168/280 - loss 0.02001348 - time (sec): 12.08 - samples/sec: 10600.97 - lr: 0.100000 +2023-04-05 11:53:09,570 epoch 78 - iter 196/280 - loss 0.02019327 - time (sec): 14.08 - samples/sec: 10627.97 - lr: 0.100000 +2023-04-05 11:53:11,491 epoch 78 - iter 224/280 - loss 0.02017045 - time (sec): 16.00 - samples/sec: 10672.50 - lr: 0.100000 +2023-04-05 11:53:13,370 epoch 78 - iter 252/280 - loss 0.02035093 - time (sec): 17.88 - samples/sec: 10713.10 - lr: 0.100000 +2023-04-05 11:53:15,225 epoch 78 - iter 280/280 - loss 0.02009911 - time (sec): 19.73 - samples/sec: 10728.89 - lr: 0.100000 +2023-04-05 11:53:15,225 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:53:15,225 EPOCH 78 done: loss 0.0201 - lr 0.100000 +2023-04-05 11:53:15,225 BAD EPOCHS (no improvement): 1 +2023-04-05 11:53:15,228 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:53:17,114 epoch 79 - iter 28/280 - loss 0.01783447 - time (sec): 1.89 - samples/sec: 11037.25 - lr: 0.100000 +2023-04-05 11:53:19,050 epoch 79 - iter 56/280 - loss 0.01858716 - time (sec): 3.82 - samples/sec: 11139.95 - lr: 0.100000 +2023-04-05 11:53:20,983 epoch 79 - iter 84/280 - loss 0.01899187 - time (sec): 5.76 - samples/sec: 11028.72 - lr: 0.100000 +2023-04-05 11:53:22,946 epoch 79 - iter 112/280 - loss 0.02012692 - time (sec): 7.72 - samples/sec: 10994.80 - lr: 0.100000 +2023-04-05 11:53:24,883 epoch 79 - iter 140/280 - loss 0.02015825 - time (sec): 9.65 - samples/sec: 10985.12 - lr: 0.100000 +2023-04-05 11:53:26,825 epoch 79 - iter 168/280 - loss 0.01938708 - time (sec): 11.60 - samples/sec: 10988.93 - lr: 0.100000 +2023-04-05 11:53:28,716 epoch 79 - iter 196/280 - loss 0.01987789 - time (sec): 13.49 - samples/sec: 11028.83 - lr: 0.100000 +2023-04-05 11:53:30,574 epoch 79 - iter 224/280 - loss 0.02005371 - time (sec): 15.35 - samples/sec: 11059.26 - lr: 0.100000 +2023-04-05 11:53:32,493 epoch 79 - iter 252/280 - loss 0.01968046 - time (sec): 17.27 - samples/sec: 11074.23 - lr: 0.100000 +2023-04-05 11:53:34,397 epoch 79 - iter 280/280 - loss 0.01984077 - time (sec): 19.17 - samples/sec: 11043.63 - lr: 0.100000 +2023-04-05 11:53:34,397 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:53:34,397 EPOCH 79 done: loss 0.0198 - lr 0.100000 +2023-04-05 11:53:34,397 BAD EPOCHS (no improvement): 2 +2023-04-05 11:53:34,400 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:53:36,329 epoch 80 - iter 28/280 - loss 0.01788696 - time (sec): 1.93 - samples/sec: 10749.08 - lr: 0.100000 +2023-04-05 11:53:38,120 epoch 80 - iter 56/280 - loss 0.01844709 - time (sec): 3.72 - samples/sec: 11228.81 - lr: 0.100000 +2023-04-05 11:53:40,103 epoch 80 - iter 84/280 - loss 0.01779718 - time (sec): 5.70 - samples/sec: 11080.50 - lr: 0.100000 +2023-04-05 11:53:42,022 epoch 80 - iter 112/280 - loss 0.01782455 - time (sec): 7.62 - samples/sec: 11099.74 - lr: 0.100000 +2023-04-05 11:53:43,974 epoch 80 - iter 140/280 - loss 0.01820559 - time (sec): 9.57 - samples/sec: 11094.76 - lr: 0.100000 +2023-04-05 11:53:45,867 epoch 80 - iter 168/280 - loss 0.01849651 - time (sec): 11.47 - samples/sec: 11123.55 - lr: 0.100000 +2023-04-05 11:53:47,804 epoch 80 - iter 196/280 - loss 0.01958702 - time (sec): 13.40 - samples/sec: 11107.42 - lr: 0.100000 +2023-04-05 11:53:49,709 epoch 80 - iter 224/280 - loss 0.01931824 - time (sec): 15.31 - samples/sec: 11118.66 - lr: 0.100000 +2023-04-05 11:53:51,600 epoch 80 - iter 252/280 - loss 0.01955896 - time (sec): 17.20 - samples/sec: 11109.95 - lr: 0.100000 +2023-04-05 11:53:53,469 epoch 80 - iter 280/280 - loss 0.01963729 - time (sec): 19.07 - samples/sec: 11101.09 - lr: 0.100000 +2023-04-05 11:53:53,470 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:53:53,470 EPOCH 80 done: loss 0.0196 - lr 0.100000 +2023-04-05 11:53:53,470 BAD EPOCHS (no improvement): 3 +2023-04-05 11:53:53,473 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:53:55,432 epoch 81 - iter 28/280 - loss 0.01999609 - time (sec): 1.96 - samples/sec: 11004.59 - lr: 0.100000 +2023-04-05 11:53:57,294 epoch 81 - iter 56/280 - loss 0.02234605 - time (sec): 3.82 - samples/sec: 11092.64 - lr: 0.100000 +2023-04-05 11:53:59,227 epoch 81 - iter 84/280 - loss 0.02102149 - time (sec): 5.75 - samples/sec: 10995.46 - lr: 0.100000 +2023-04-05 11:54:01,169 epoch 81 - iter 112/280 - loss 0.02068849 - time (sec): 7.70 - samples/sec: 10971.77 - lr: 0.100000 +2023-04-05 11:54:04,572 epoch 81 - iter 140/280 - loss 0.02105535 - time (sec): 11.10 - samples/sec: 9548.58 - lr: 0.100000 +2023-04-05 11:54:06,435 epoch 81 - iter 168/280 - loss 0.02063509 - time (sec): 12.96 - samples/sec: 9825.20 - lr: 0.100000 +2023-04-05 11:54:08,354 epoch 81 - iter 196/280 - loss 0.02065726 - time (sec): 14.88 - samples/sec: 10000.69 - lr: 0.100000 +2023-04-05 11:54:10,334 epoch 81 - iter 224/280 - loss 0.02047387 - time (sec): 16.86 - samples/sec: 10095.44 - lr: 0.100000 +2023-04-05 11:54:12,256 epoch 81 - iter 252/280 - loss 0.02026883 - time (sec): 18.78 - samples/sec: 10198.90 - lr: 0.100000 +2023-04-05 11:54:14,089 epoch 81 - iter 280/280 - loss 0.02002583 - time (sec): 20.62 - samples/sec: 10268.24 - lr: 0.100000 +2023-04-05 11:54:14,089 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:54:14,089 EPOCH 81 done: loss 0.0200 - lr 0.100000 +2023-04-05 11:54:14,089 Epoch 81: reducing learning rate of group 0 to 5.0000e-02. +2023-04-05 11:54:14,089 BAD EPOCHS (no improvement): 4 +2023-04-05 11:54:14,092 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:54:15,965 epoch 82 - iter 28/280 - loss 0.01860981 - time (sec): 1.87 - samples/sec: 11077.36 - lr: 0.050000 +2023-04-05 11:54:17,953 epoch 82 - iter 56/280 - loss 0.01974103 - time (sec): 3.86 - samples/sec: 10991.65 - lr: 0.050000 +2023-04-05 11:54:19,875 epoch 82 - iter 84/280 - loss 0.01921790 - time (sec): 5.78 - samples/sec: 11036.31 - lr: 0.050000 +2023-04-05 11:54:21,702 epoch 82 - iter 112/280 - loss 0.01860644 - time (sec): 7.61 - samples/sec: 11177.80 - lr: 0.050000 +2023-04-05 11:54:23,609 epoch 82 - iter 140/280 - loss 0.01830974 - time (sec): 9.52 - samples/sec: 11121.33 - lr: 0.050000 +2023-04-05 11:54:25,584 epoch 82 - iter 168/280 - loss 0.01827574 - time (sec): 11.49 - samples/sec: 11080.97 - lr: 0.050000 +2023-04-05 11:54:27,617 epoch 82 - iter 196/280 - loss 0.01837247 - time (sec): 13.53 - samples/sec: 10995.59 - lr: 0.050000 +2023-04-05 11:54:29,608 epoch 82 - iter 224/280 - loss 0.01842828 - time (sec): 15.52 - samples/sec: 10943.35 - lr: 0.050000 +2023-04-05 11:54:31,584 epoch 82 - iter 252/280 - loss 0.01837193 - time (sec): 17.49 - samples/sec: 10924.48 - lr: 0.050000 +2023-04-05 11:54:33,535 epoch 82 - iter 280/280 - loss 0.01856906 - time (sec): 19.44 - samples/sec: 10887.33 - lr: 0.050000 +2023-04-05 11:54:33,536 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:54:33,536 EPOCH 82 done: loss 0.0186 - lr 0.050000 +2023-04-05 11:54:33,536 BAD EPOCHS (no improvement): 0 +2023-04-05 11:54:33,539 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:54:35,624 epoch 83 - iter 28/280 - loss 0.01842064 - time (sec): 2.08 - samples/sec: 10262.66 - lr: 0.050000 +2023-04-05 11:54:37,549 epoch 83 - iter 56/280 - loss 0.01690092 - time (sec): 4.01 - samples/sec: 10608.83 - lr: 0.050000 +2023-04-05 11:54:39,605 epoch 83 - iter 84/280 - loss 0.01784087 - time (sec): 6.07 - samples/sec: 10616.14 - lr: 0.050000 +2023-04-05 11:54:41,630 epoch 83 - iter 112/280 - loss 0.01842300 - time (sec): 8.09 - samples/sec: 10629.69 - lr: 0.050000 +2023-04-05 11:54:43,627 epoch 83 - iter 140/280 - loss 0.01803914 - time (sec): 10.09 - samples/sec: 10645.63 - lr: 0.050000 +2023-04-05 11:54:45,683 epoch 83 - iter 168/280 - loss 0.01799391 - time (sec): 12.14 - samples/sec: 10605.06 - lr: 0.050000 +2023-04-05 11:54:47,739 epoch 83 - iter 196/280 - loss 0.01789924 - time (sec): 14.20 - samples/sec: 10531.43 - lr: 0.050000 +2023-04-05 11:54:49,630 epoch 83 - iter 224/280 - loss 0.01795461 - time (sec): 16.09 - samples/sec: 10572.30 - lr: 0.050000 +2023-04-05 11:54:51,672 epoch 83 - iter 252/280 - loss 0.01752941 - time (sec): 18.13 - samples/sec: 10566.80 - lr: 0.050000 +2023-04-05 11:54:53,560 epoch 83 - iter 280/280 - loss 0.01755867 - time (sec): 20.02 - samples/sec: 10573.69 - lr: 0.050000 +2023-04-05 11:54:53,560 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:54:53,560 EPOCH 83 done: loss 0.0176 - lr 0.050000 +2023-04-05 11:54:53,560 BAD EPOCHS (no improvement): 0 +2023-04-05 11:54:53,563 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:54:55,540 epoch 84 - iter 28/280 - loss 0.01463967 - time (sec): 1.98 - samples/sec: 10708.68 - lr: 0.050000 +2023-04-05 11:54:57,501 epoch 84 - iter 56/280 - loss 0.01594683 - time (sec): 3.94 - samples/sec: 10895.68 - lr: 0.050000 +2023-04-05 11:54:59,447 epoch 84 - iter 84/280 - loss 0.01600441 - time (sec): 5.88 - samples/sec: 10835.67 - lr: 0.050000 +2023-04-05 11:55:01,489 epoch 84 - iter 112/280 - loss 0.01638562 - time (sec): 7.93 - samples/sec: 10750.12 - lr: 0.050000 +2023-04-05 11:55:03,395 epoch 84 - iter 140/280 - loss 0.01677881 - time (sec): 9.83 - samples/sec: 10776.07 - lr: 0.050000 +2023-04-05 11:55:05,381 epoch 84 - iter 168/280 - loss 0.01656132 - time (sec): 11.82 - samples/sec: 10768.96 - lr: 0.050000 +2023-04-05 11:55:07,372 epoch 84 - iter 196/280 - loss 0.01653145 - time (sec): 13.81 - samples/sec: 10755.67 - lr: 0.050000 +2023-04-05 11:55:09,306 epoch 84 - iter 224/280 - loss 0.01648739 - time (sec): 15.74 - samples/sec: 10796.01 - lr: 0.050000 +2023-04-05 11:55:11,285 epoch 84 - iter 252/280 - loss 0.01642549 - time (sec): 17.72 - samples/sec: 10797.73 - lr: 0.050000 +2023-04-05 11:55:13,130 epoch 84 - iter 280/280 - loss 0.01655025 - time (sec): 19.57 - samples/sec: 10818.82 - lr: 0.050000 +2023-04-05 11:55:13,130 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:55:13,130 EPOCH 84 done: loss 0.0166 - lr 0.050000 +2023-04-05 11:55:13,130 BAD EPOCHS (no improvement): 0 +2023-04-05 11:55:13,133 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:55:15,097 epoch 85 - iter 28/280 - loss 0.01594061 - time (sec): 1.96 - samples/sec: 10711.62 - lr: 0.050000 +2023-04-05 11:55:17,013 epoch 85 - iter 56/280 - loss 0.01557143 - time (sec): 3.88 - samples/sec: 10768.49 - lr: 0.050000 +2023-04-05 11:55:19,002 epoch 85 - iter 84/280 - loss 0.01557014 - time (sec): 5.87 - samples/sec: 10739.06 - lr: 0.050000 +2023-04-05 11:55:20,962 epoch 85 - iter 112/280 - loss 0.01544992 - time (sec): 7.83 - samples/sec: 10722.08 - lr: 0.050000 +2023-04-05 11:55:22,995 epoch 85 - iter 140/280 - loss 0.01610699 - time (sec): 9.86 - samples/sec: 10693.99 - lr: 0.050000 +2023-04-05 11:55:24,944 epoch 85 - iter 168/280 - loss 0.01614985 - time (sec): 11.81 - samples/sec: 10721.61 - lr: 0.050000 +2023-04-05 11:55:26,975 epoch 85 - iter 196/280 - loss 0.01637534 - time (sec): 13.84 - samples/sec: 10720.76 - lr: 0.050000 +2023-04-05 11:55:28,962 epoch 85 - iter 224/280 - loss 0.01637429 - time (sec): 15.83 - samples/sec: 10718.18 - lr: 0.050000 +2023-04-05 11:55:30,925 epoch 85 - iter 252/280 - loss 0.01640293 - time (sec): 17.79 - samples/sec: 10715.15 - lr: 0.050000 +2023-04-05 11:55:32,870 epoch 85 - iter 280/280 - loss 0.01626972 - time (sec): 19.74 - samples/sec: 10725.72 - lr: 0.050000 +2023-04-05 11:55:32,870 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:55:32,870 EPOCH 85 done: loss 0.0163 - lr 0.050000 +2023-04-05 11:55:32,870 BAD EPOCHS (no improvement): 0 +2023-04-05 11:55:32,873 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:55:34,740 epoch 86 - iter 28/280 - loss 0.01560746 - time (sec): 1.87 - samples/sec: 11305.00 - lr: 0.050000 +2023-04-05 11:55:36,676 epoch 86 - iter 56/280 - loss 0.01594714 - time (sec): 3.80 - samples/sec: 10942.16 - lr: 0.050000 +2023-04-05 11:55:38,736 epoch 86 - iter 84/280 - loss 0.01693447 - time (sec): 5.86 - samples/sec: 10861.55 - lr: 0.050000 +2023-04-05 11:55:40,721 epoch 86 - iter 112/280 - loss 0.01679641 - time (sec): 7.85 - samples/sec: 10849.76 - lr: 0.050000 +2023-04-05 11:55:42,693 epoch 86 - iter 140/280 - loss 0.01650936 - time (sec): 9.82 - samples/sec: 10780.19 - lr: 0.050000 +2023-04-05 11:55:44,629 epoch 86 - iter 168/280 - loss 0.01615554 - time (sec): 11.76 - samples/sec: 10795.85 - lr: 0.050000 +2023-04-05 11:55:46,514 epoch 86 - iter 196/280 - loss 0.01619688 - time (sec): 13.64 - samples/sec: 10826.39 - lr: 0.050000 +2023-04-05 11:55:48,523 epoch 86 - iter 224/280 - loss 0.01624418 - time (sec): 15.65 - samples/sec: 10824.24 - lr: 0.050000 +2023-04-05 11:55:50,515 epoch 86 - iter 252/280 - loss 0.01664642 - time (sec): 17.64 - samples/sec: 10821.70 - lr: 0.050000 +2023-04-05 11:55:52,456 epoch 86 - iter 280/280 - loss 0.01670856 - time (sec): 19.58 - samples/sec: 10809.77 - lr: 0.050000 +2023-04-05 11:55:52,456 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:55:52,457 EPOCH 86 done: loss 0.0167 - lr 0.050000 +2023-04-05 11:55:52,457 BAD EPOCHS (no improvement): 1 +2023-04-05 11:55:52,459 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:55:54,414 epoch 87 - iter 28/280 - loss 0.01526542 - time (sec): 1.95 - samples/sec: 11024.05 - lr: 0.050000 +2023-04-05 11:55:56,338 epoch 87 - iter 56/280 - loss 0.01534677 - time (sec): 3.88 - samples/sec: 11112.07 - lr: 0.050000 +2023-04-05 11:55:58,290 epoch 87 - iter 84/280 - loss 0.01460912 - time (sec): 5.83 - samples/sec: 11062.58 - lr: 0.050000 +2023-04-05 11:56:00,190 epoch 87 - iter 112/280 - loss 0.01418288 - time (sec): 7.73 - samples/sec: 11012.47 - lr: 0.050000 +2023-04-05 11:56:02,156 epoch 87 - iter 140/280 - loss 0.01427603 - time (sec): 9.70 - samples/sec: 10999.97 - lr: 0.050000 +2023-04-05 11:56:04,018 epoch 87 - iter 168/280 - loss 0.01479369 - time (sec): 11.56 - samples/sec: 11039.29 - lr: 0.050000 +2023-04-05 11:56:05,883 epoch 87 - iter 196/280 - loss 0.01478301 - time (sec): 13.42 - samples/sec: 11100.90 - lr: 0.050000 +2023-04-05 11:56:07,688 epoch 87 - iter 224/280 - loss 0.01476124 - time (sec): 15.23 - samples/sec: 11158.32 - lr: 0.050000 +2023-04-05 11:56:09,505 epoch 87 - iter 252/280 - loss 0.01498062 - time (sec): 17.05 - samples/sec: 11224.51 - lr: 0.050000 +2023-04-05 11:56:11,310 epoch 87 - iter 280/280 - loss 0.01496752 - time (sec): 18.85 - samples/sec: 11229.54 - lr: 0.050000 +2023-04-05 11:56:11,310 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:56:11,310 EPOCH 87 done: loss 0.0150 - lr 0.050000 +2023-04-05 11:56:11,311 BAD EPOCHS (no improvement): 0 +2023-04-05 11:56:11,313 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:56:13,188 epoch 88 - iter 28/280 - loss 0.01420705 - time (sec): 1.88 - samples/sec: 11137.37 - lr: 0.050000 +2023-04-05 11:56:15,022 epoch 88 - iter 56/280 - loss 0.01550309 - time (sec): 3.71 - samples/sec: 11267.02 - lr: 0.050000 +2023-04-05 11:56:16,917 epoch 88 - iter 84/280 - loss 0.01510743 - time (sec): 5.60 - samples/sec: 11261.87 - lr: 0.050000 +2023-04-05 11:56:18,852 epoch 88 - iter 112/280 - loss 0.01540760 - time (sec): 7.54 - samples/sec: 11173.18 - lr: 0.050000 +2023-04-05 11:56:20,825 epoch 88 - iter 140/280 - loss 0.01488094 - time (sec): 9.51 - samples/sec: 11110.78 - lr: 0.050000 +2023-04-05 11:56:22,749 epoch 88 - iter 168/280 - loss 0.01474611 - time (sec): 11.44 - samples/sec: 11085.11 - lr: 0.050000 +2023-04-05 11:56:24,677 epoch 88 - iter 196/280 - loss 0.01467050 - time (sec): 13.36 - samples/sec: 11070.49 - lr: 0.050000 +2023-04-05 11:56:26,603 epoch 88 - iter 224/280 - loss 0.01460222 - time (sec): 15.29 - samples/sec: 11046.32 - lr: 0.050000 +2023-04-05 11:56:28,539 epoch 88 - iter 252/280 - loss 0.01480295 - time (sec): 17.23 - samples/sec: 11043.20 - lr: 0.050000 +2023-04-05 11:56:30,541 epoch 88 - iter 280/280 - loss 0.01480336 - time (sec): 19.23 - samples/sec: 11009.48 - lr: 0.050000 +2023-04-05 11:56:30,541 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:56:30,541 EPOCH 88 done: loss 0.0148 - lr 0.050000 +2023-04-05 11:56:30,541 BAD EPOCHS (no improvement): 0 +2023-04-05 11:56:30,544 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:56:32,544 epoch 89 - iter 28/280 - loss 0.01797876 - time (sec): 2.00 - samples/sec: 10748.89 - lr: 0.050000 +2023-04-05 11:56:34,510 epoch 89 - iter 56/280 - loss 0.01629157 - time (sec): 3.97 - samples/sec: 10779.99 - lr: 0.050000 +2023-04-05 11:56:36,468 epoch 89 - iter 84/280 - loss 0.01545197 - time (sec): 5.92 - samples/sec: 10815.12 - lr: 0.050000 +2023-04-05 11:56:38,498 epoch 89 - iter 112/280 - loss 0.01472171 - time (sec): 7.95 - samples/sec: 10766.30 - lr: 0.050000 +2023-04-05 11:56:40,408 epoch 89 - iter 140/280 - loss 0.01415684 - time (sec): 9.86 - samples/sec: 10764.13 - lr: 0.050000 +2023-04-05 11:56:42,350 epoch 89 - iter 168/280 - loss 0.01405974 - time (sec): 11.81 - samples/sec: 10787.01 - lr: 0.050000 +2023-04-05 11:56:44,316 epoch 89 - iter 196/280 - loss 0.01411571 - time (sec): 13.77 - samples/sec: 10810.09 - lr: 0.050000 +2023-04-05 11:56:46,335 epoch 89 - iter 224/280 - loss 0.01464182 - time (sec): 15.79 - samples/sec: 10783.34 - lr: 0.050000 +2023-04-05 11:56:48,307 epoch 89 - iter 252/280 - loss 0.01457484 - time (sec): 17.76 - samples/sec: 10757.54 - lr: 0.050000 +2023-04-05 11:56:50,240 epoch 89 - iter 280/280 - loss 0.01471727 - time (sec): 19.70 - samples/sec: 10748.03 - lr: 0.050000 +2023-04-05 11:56:50,241 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:56:50,241 EPOCH 89 done: loss 0.0147 - lr 0.050000 +2023-04-05 11:56:50,241 BAD EPOCHS (no improvement): 0 +2023-04-05 11:56:50,243 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:56:52,201 epoch 90 - iter 28/280 - loss 0.01639187 - time (sec): 1.96 - samples/sec: 10840.92 - lr: 0.050000 +2023-04-05 11:56:54,245 epoch 90 - iter 56/280 - loss 0.01439273 - time (sec): 4.00 - samples/sec: 10726.45 - lr: 0.050000 +2023-04-05 11:56:56,222 epoch 90 - iter 84/280 - loss 0.01506792 - time (sec): 5.98 - samples/sec: 10778.77 - lr: 0.050000 +2023-04-05 11:56:58,189 epoch 90 - iter 112/280 - loss 0.01557248 - time (sec): 7.95 - samples/sec: 10781.41 - lr: 0.050000 +2023-04-05 11:57:00,145 epoch 90 - iter 140/280 - loss 0.01486076 - time (sec): 9.90 - samples/sec: 10756.30 - lr: 0.050000 +2023-04-05 11:57:02,081 epoch 90 - iter 168/280 - loss 0.01478498 - time (sec): 11.84 - samples/sec: 10775.50 - lr: 0.050000 +2023-04-05 11:57:04,042 epoch 90 - iter 196/280 - loss 0.01510865 - time (sec): 13.80 - samples/sec: 10783.04 - lr: 0.050000 +2023-04-05 11:57:05,994 epoch 90 - iter 224/280 - loss 0.01506781 - time (sec): 15.75 - samples/sec: 10800.62 - lr: 0.050000 +2023-04-05 11:57:07,960 epoch 90 - iter 252/280 - loss 0.01507409 - time (sec): 17.72 - samples/sec: 10790.03 - lr: 0.050000 +2023-04-05 11:57:09,918 epoch 90 - iter 280/280 - loss 0.01503079 - time (sec): 19.67 - samples/sec: 10759.71 - lr: 0.050000 +2023-04-05 11:57:09,918 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:57:09,918 EPOCH 90 done: loss 0.0150 - lr 0.050000 +2023-04-05 11:57:09,918 BAD EPOCHS (no improvement): 1 +2023-04-05 11:57:09,921 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:57:11,910 epoch 91 - iter 28/280 - loss 0.01545410 - time (sec): 1.99 - samples/sec: 10541.42 - lr: 0.050000 +2023-04-05 11:57:13,946 epoch 91 - iter 56/280 - loss 0.01494736 - time (sec): 4.02 - samples/sec: 10595.56 - lr: 0.050000 +2023-04-05 11:57:15,829 epoch 91 - iter 84/280 - loss 0.01527115 - time (sec): 5.91 - samples/sec: 10722.58 - lr: 0.050000 +2023-04-05 11:57:17,778 epoch 91 - iter 112/280 - loss 0.01516962 - time (sec): 7.86 - samples/sec: 10783.11 - lr: 0.050000 +2023-04-05 11:57:19,786 epoch 91 - iter 140/280 - loss 0.01508720 - time (sec): 9.87 - samples/sec: 10710.04 - lr: 0.050000 +2023-04-05 11:57:21,664 epoch 91 - iter 168/280 - loss 0.01472600 - time (sec): 11.74 - samples/sec: 10774.53 - lr: 0.050000 +2023-04-05 11:57:23,631 epoch 91 - iter 196/280 - loss 0.01473321 - time (sec): 13.71 - samples/sec: 10800.70 - lr: 0.050000 +2023-04-05 11:57:25,573 epoch 91 - iter 224/280 - loss 0.01502994 - time (sec): 15.65 - samples/sec: 10806.61 - lr: 0.050000 +2023-04-05 11:57:27,667 epoch 91 - iter 252/280 - loss 0.01507856 - time (sec): 17.75 - samples/sec: 10752.31 - lr: 0.050000 +2023-04-05 11:57:29,590 epoch 91 - iter 280/280 - loss 0.01523840 - time (sec): 19.67 - samples/sec: 10762.66 - lr: 0.050000 +2023-04-05 11:57:29,591 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:57:29,591 EPOCH 91 done: loss 0.0152 - lr 0.050000 +2023-04-05 11:57:29,591 BAD EPOCHS (no improvement): 2 +2023-04-05 11:57:29,593 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:57:31,543 epoch 92 - iter 28/280 - loss 0.01484371 - time (sec): 1.95 - samples/sec: 10930.48 - lr: 0.050000 +2023-04-05 11:57:33,482 epoch 92 - iter 56/280 - loss 0.01573479 - time (sec): 3.89 - samples/sec: 10983.19 - lr: 0.050000 +2023-04-05 11:57:35,398 epoch 92 - iter 84/280 - loss 0.01527193 - time (sec): 5.80 - samples/sec: 10991.00 - lr: 0.050000 +2023-04-05 11:57:37,293 epoch 92 - iter 112/280 - loss 0.01465186 - time (sec): 7.70 - samples/sec: 10931.73 - lr: 0.050000 +2023-04-05 11:57:39,311 epoch 92 - iter 140/280 - loss 0.01509237 - time (sec): 9.72 - samples/sec: 10850.88 - lr: 0.050000 +2023-04-05 11:57:41,291 epoch 92 - iter 168/280 - loss 0.01495476 - time (sec): 11.70 - samples/sec: 10842.87 - lr: 0.050000 +2023-04-05 11:57:43,263 epoch 92 - iter 196/280 - loss 0.01502795 - time (sec): 13.67 - samples/sec: 10866.17 - lr: 0.050000 +2023-04-05 11:57:45,210 epoch 92 - iter 224/280 - loss 0.01485677 - time (sec): 15.62 - samples/sec: 10888.76 - lr: 0.050000 +2023-04-05 11:57:47,185 epoch 92 - iter 252/280 - loss 0.01480522 - time (sec): 17.59 - samples/sec: 10861.36 - lr: 0.050000 +2023-04-05 11:57:49,044 epoch 92 - iter 280/280 - loss 0.01521416 - time (sec): 19.45 - samples/sec: 10883.50 - lr: 0.050000 +2023-04-05 11:57:49,044 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:57:49,044 EPOCH 92 done: loss 0.0152 - lr 0.050000 +2023-04-05 11:57:49,045 BAD EPOCHS (no improvement): 3 +2023-04-05 11:57:49,047 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:57:50,913 epoch 93 - iter 28/280 - loss 0.01198411 - time (sec): 1.87 - samples/sec: 11271.93 - lr: 0.050000 +2023-04-05 11:57:52,826 epoch 93 - iter 56/280 - loss 0.01311257 - time (sec): 3.78 - samples/sec: 11258.88 - lr: 0.050000 +2023-04-05 11:57:54,656 epoch 93 - iter 84/280 - loss 0.01376303 - time (sec): 5.61 - samples/sec: 11374.13 - lr: 0.050000 +2023-04-05 11:57:56,552 epoch 93 - iter 112/280 - loss 0.01393217 - time (sec): 7.51 - samples/sec: 11336.61 - lr: 0.050000 +2023-04-05 11:57:58,438 epoch 93 - iter 140/280 - loss 0.01453267 - time (sec): 9.39 - samples/sec: 11292.28 - lr: 0.050000 +2023-04-05 11:58:00,413 epoch 93 - iter 168/280 - loss 0.01456068 - time (sec): 11.37 - samples/sec: 11197.02 - lr: 0.050000 +2023-04-05 11:58:02,342 epoch 93 - iter 196/280 - loss 0.01474101 - time (sec): 13.29 - samples/sec: 11154.83 - lr: 0.050000 +2023-04-05 11:58:04,199 epoch 93 - iter 224/280 - loss 0.01502533 - time (sec): 15.15 - samples/sec: 11195.78 - lr: 0.050000 +2023-04-05 11:58:06,042 epoch 93 - iter 252/280 - loss 0.01511770 - time (sec): 16.99 - samples/sec: 11222.52 - lr: 0.050000 +2023-04-05 11:58:07,915 epoch 93 - iter 280/280 - loss 0.01525482 - time (sec): 18.87 - samples/sec: 11220.00 - lr: 0.050000 +2023-04-05 11:58:07,915 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:58:07,915 EPOCH 93 done: loss 0.0153 - lr 0.050000 +2023-04-05 11:58:07,915 Epoch 93: reducing learning rate of group 0 to 2.5000e-02. +2023-04-05 11:58:07,915 BAD EPOCHS (no improvement): 4 +2023-04-05 11:58:07,917 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:58:09,867 epoch 94 - iter 28/280 - loss 0.01152935 - time (sec): 1.95 - samples/sec: 10934.11 - lr: 0.025000 +2023-04-05 11:58:11,771 epoch 94 - iter 56/280 - loss 0.01260573 - time (sec): 3.85 - samples/sec: 10933.71 - lr: 0.025000 +2023-04-05 11:58:13,657 epoch 94 - iter 84/280 - loss 0.01333640 - time (sec): 5.74 - samples/sec: 11040.50 - lr: 0.025000 +2023-04-05 11:58:15,549 epoch 94 - iter 112/280 - loss 0.01282413 - time (sec): 7.63 - samples/sec: 11117.60 - lr: 0.025000 +2023-04-05 11:58:17,347 epoch 94 - iter 140/280 - loss 0.01297793 - time (sec): 9.43 - samples/sec: 11212.54 - lr: 0.025000 +2023-04-05 11:58:19,191 epoch 94 - iter 168/280 - loss 0.01303816 - time (sec): 11.27 - samples/sec: 11264.98 - lr: 0.025000 +2023-04-05 11:58:21,055 epoch 94 - iter 196/280 - loss 0.01326301 - time (sec): 13.14 - samples/sec: 11299.05 - lr: 0.025000 +2023-04-05 11:58:22,991 epoch 94 - iter 224/280 - loss 0.01367185 - time (sec): 15.07 - samples/sec: 11277.29 - lr: 0.025000 +2023-04-05 11:58:24,881 epoch 94 - iter 252/280 - loss 0.01370797 - time (sec): 16.96 - samples/sec: 11266.85 - lr: 0.025000 +2023-04-05 11:58:26,725 epoch 94 - iter 280/280 - loss 0.01350361 - time (sec): 18.81 - samples/sec: 11255.38 - lr: 0.025000 +2023-04-05 11:58:26,726 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:58:26,726 EPOCH 94 done: loss 0.0135 - lr 0.025000 +2023-04-05 11:58:26,726 BAD EPOCHS (no improvement): 0 +2023-04-05 11:58:26,729 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:58:28,651 epoch 95 - iter 28/280 - loss 0.01333991 - time (sec): 1.92 - samples/sec: 11174.31 - lr: 0.025000 +2023-04-05 11:58:30,517 epoch 95 - iter 56/280 - loss 0.01371795 - time (sec): 3.79 - samples/sec: 11189.97 - lr: 0.025000 +2023-04-05 11:58:32,365 epoch 95 - iter 84/280 - loss 0.01394390 - time (sec): 5.64 - samples/sec: 11316.15 - lr: 0.025000 +2023-04-05 11:58:34,261 epoch 95 - iter 112/280 - loss 0.01372520 - time (sec): 7.53 - samples/sec: 11331.88 - lr: 0.025000 +2023-04-05 11:58:36,106 epoch 95 - iter 140/280 - loss 0.01357480 - time (sec): 9.38 - samples/sec: 11350.16 - lr: 0.025000 +2023-04-05 11:58:37,884 epoch 95 - iter 168/280 - loss 0.01370638 - time (sec): 11.16 - samples/sec: 11384.27 - lr: 0.025000 +2023-04-05 11:58:39,810 epoch 95 - iter 196/280 - loss 0.01359010 - time (sec): 13.08 - samples/sec: 11363.40 - lr: 0.025000 +2023-04-05 11:58:41,746 epoch 95 - iter 224/280 - loss 0.01379960 - time (sec): 15.02 - samples/sec: 11325.32 - lr: 0.025000 +2023-04-05 11:58:43,663 epoch 95 - iter 252/280 - loss 0.01394541 - time (sec): 16.93 - samples/sec: 11283.73 - lr: 0.025000 +2023-04-05 11:58:45,557 epoch 95 - iter 280/280 - loss 0.01404544 - time (sec): 18.83 - samples/sec: 11243.30 - lr: 0.025000 +2023-04-05 11:58:45,557 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:58:45,557 EPOCH 95 done: loss 0.0140 - lr 0.025000 +2023-04-05 11:58:45,557 BAD EPOCHS (no improvement): 1 +2023-04-05 11:58:45,560 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:58:47,485 epoch 96 - iter 28/280 - loss 0.01093249 - time (sec): 1.92 - samples/sec: 11007.12 - lr: 0.025000 +2023-04-05 11:58:49,362 epoch 96 - iter 56/280 - loss 0.01288285 - time (sec): 3.80 - samples/sec: 11085.50 - lr: 0.025000 +2023-04-05 11:58:51,221 epoch 96 - iter 84/280 - loss 0.01249340 - time (sec): 5.66 - samples/sec: 11153.55 - lr: 0.025000 +2023-04-05 11:58:53,066 epoch 96 - iter 112/280 - loss 0.01254522 - time (sec): 7.51 - samples/sec: 11226.66 - lr: 0.025000 +2023-04-05 11:58:54,946 epoch 96 - iter 140/280 - loss 0.01274062 - time (sec): 9.39 - samples/sec: 11259.23 - lr: 0.025000 +2023-04-05 11:58:56,853 epoch 96 - iter 168/280 - loss 0.01297879 - time (sec): 11.29 - samples/sec: 11251.11 - lr: 0.025000 +2023-04-05 11:58:58,748 epoch 96 - iter 196/280 - loss 0.01343345 - time (sec): 13.19 - samples/sec: 11268.37 - lr: 0.025000 +2023-04-05 11:59:00,616 epoch 96 - iter 224/280 - loss 0.01345790 - time (sec): 15.06 - samples/sec: 11284.82 - lr: 0.025000 +2023-04-05 11:59:02,505 epoch 96 - iter 252/280 - loss 0.01328369 - time (sec): 16.95 - samples/sec: 11261.90 - lr: 0.025000 +2023-04-05 11:59:04,423 epoch 96 - iter 280/280 - loss 0.01317795 - time (sec): 18.86 - samples/sec: 11222.67 - lr: 0.025000 +2023-04-05 11:59:04,423 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:59:04,423 EPOCH 96 done: loss 0.0132 - lr 0.025000 +2023-04-05 11:59:04,423 BAD EPOCHS (no improvement): 0 +2023-04-05 11:59:04,426 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:59:06,265 epoch 97 - iter 28/280 - loss 0.01330318 - time (sec): 1.84 - samples/sec: 11575.41 - lr: 0.025000 +2023-04-05 11:59:08,164 epoch 97 - iter 56/280 - loss 0.01407034 - time (sec): 3.74 - samples/sec: 11318.57 - lr: 0.025000 +2023-04-05 11:59:10,020 epoch 97 - iter 84/280 - loss 0.01411762 - time (sec): 5.59 - samples/sec: 11340.86 - lr: 0.025000 +2023-04-05 11:59:11,913 epoch 97 - iter 112/280 - loss 0.01408308 - time (sec): 7.49 - samples/sec: 11333.11 - lr: 0.025000 +2023-04-05 11:59:13,823 epoch 97 - iter 140/280 - loss 0.01385214 - time (sec): 9.40 - samples/sec: 11323.61 - lr: 0.025000 +2023-04-05 11:59:15,692 epoch 97 - iter 168/280 - loss 0.01382052 - time (sec): 11.27 - samples/sec: 11309.38 - lr: 0.025000 +2023-04-05 11:59:17,579 epoch 97 - iter 196/280 - loss 0.01370190 - time (sec): 13.15 - samples/sec: 11286.36 - lr: 0.025000 +2023-04-05 11:59:19,483 epoch 97 - iter 224/280 - loss 0.01343923 - time (sec): 15.06 - samples/sec: 11259.86 - lr: 0.025000 +2023-04-05 11:59:21,324 epoch 97 - iter 252/280 - loss 0.01328980 - time (sec): 16.90 - samples/sec: 11300.17 - lr: 0.025000 +2023-04-05 11:59:23,212 epoch 97 - iter 280/280 - loss 0.01327418 - time (sec): 18.79 - samples/sec: 11268.46 - lr: 0.025000 +2023-04-05 11:59:23,212 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:59:23,212 EPOCH 97 done: loss 0.0133 - lr 0.025000 +2023-04-05 11:59:23,213 BAD EPOCHS (no improvement): 1 +2023-04-05 11:59:23,218 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:59:25,046 epoch 98 - iter 28/280 - loss 0.01357833 - time (sec): 1.83 - samples/sec: 11420.87 - lr: 0.025000 +2023-04-05 11:59:26,905 epoch 98 - iter 56/280 - loss 0.01228311 - time (sec): 3.69 - samples/sec: 11355.57 - lr: 0.025000 +2023-04-05 11:59:28,803 epoch 98 - iter 84/280 - loss 0.01301699 - time (sec): 5.59 - samples/sec: 11322.19 - lr: 0.025000 +2023-04-05 11:59:30,693 epoch 98 - iter 112/280 - loss 0.01352615 - time (sec): 7.48 - samples/sec: 11312.11 - lr: 0.025000 +2023-04-05 11:59:32,541 epoch 98 - iter 140/280 - loss 0.01315249 - time (sec): 9.32 - samples/sec: 11308.89 - lr: 0.025000 +2023-04-05 11:59:34,398 epoch 98 - iter 168/280 - loss 0.01308830 - time (sec): 11.18 - samples/sec: 11351.06 - lr: 0.025000 +2023-04-05 11:59:36,281 epoch 98 - iter 196/280 - loss 0.01339365 - time (sec): 13.06 - samples/sec: 11348.20 - lr: 0.025000 +2023-04-05 11:59:38,107 epoch 98 - iter 224/280 - loss 0.01310229 - time (sec): 14.89 - samples/sec: 11392.91 - lr: 0.025000 +2023-04-05 11:59:40,030 epoch 98 - iter 252/280 - loss 0.01302237 - time (sec): 16.81 - samples/sec: 11360.19 - lr: 0.025000 +2023-04-05 11:59:41,885 epoch 98 - iter 280/280 - loss 0.01313041 - time (sec): 18.67 - samples/sec: 11340.59 - lr: 0.025000 +2023-04-05 11:59:41,885 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:59:41,885 EPOCH 98 done: loss 0.0131 - lr 0.025000 +2023-04-05 11:59:41,885 BAD EPOCHS (no improvement): 0 +2023-04-05 11:59:41,888 ---------------------------------------------------------------------------------------------------- +2023-04-05 11:59:43,880 epoch 99 - iter 28/280 - loss 0.01176522 - time (sec): 1.99 - samples/sec: 10856.36 - lr: 0.025000 +2023-04-05 11:59:45,761 epoch 99 - iter 56/280 - loss 0.01315236 - time (sec): 3.87 - samples/sec: 11139.64 - lr: 0.025000 +2023-04-05 11:59:47,624 epoch 99 - iter 84/280 - loss 0.01235075 - time (sec): 5.74 - samples/sec: 11247.26 - lr: 0.025000 +2023-04-05 11:59:49,515 epoch 99 - iter 112/280 - loss 0.01212767 - time (sec): 7.63 - samples/sec: 11259.55 - lr: 0.025000 +2023-04-05 11:59:51,353 epoch 99 - iter 140/280 - loss 0.01228047 - time (sec): 9.47 - samples/sec: 11299.51 - lr: 0.025000 +2023-04-05 11:59:53,274 epoch 99 - iter 168/280 - loss 0.01242161 - time (sec): 11.39 - samples/sec: 11274.86 - lr: 0.025000 +2023-04-05 11:59:55,189 epoch 99 - iter 196/280 - loss 0.01266913 - time (sec): 13.30 - samples/sec: 11248.91 - lr: 0.025000 +2023-04-05 11:59:56,965 epoch 99 - iter 224/280 - loss 0.01254593 - time (sec): 15.08 - samples/sec: 11301.78 - lr: 0.025000 +2023-04-05 11:59:58,855 epoch 99 - iter 252/280 - loss 0.01243269 - time (sec): 16.97 - samples/sec: 11271.37 - lr: 0.025000 +2023-04-05 12:00:00,671 epoch 99 - iter 280/280 - loss 0.01232332 - time (sec): 18.78 - samples/sec: 11270.19 - lr: 0.025000 +2023-04-05 12:00:00,671 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:00,671 EPOCH 99 done: loss 0.0123 - lr 0.025000 +2023-04-05 12:00:00,671 BAD EPOCHS (no improvement): 0 +2023-04-05 12:00:00,674 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:02,532 epoch 100 - iter 28/280 - loss 0.01143486 - time (sec): 1.86 - samples/sec: 11545.19 - lr: 0.025000 +2023-04-05 12:00:04,338 epoch 100 - iter 56/280 - loss 0.01152210 - time (sec): 3.66 - samples/sec: 11645.44 - lr: 0.025000 +2023-04-05 12:00:06,075 epoch 100 - iter 84/280 - loss 0.01132415 - time (sec): 5.40 - samples/sec: 11682.82 - lr: 0.025000 +2023-04-05 12:00:07,898 epoch 100 - iter 112/280 - loss 0.01208818 - time (sec): 7.22 - samples/sec: 11643.74 - lr: 0.025000 +2023-04-05 12:00:09,729 epoch 100 - iter 140/280 - loss 0.01216301 - time (sec): 9.06 - samples/sec: 11663.72 - lr: 0.025000 +2023-04-05 12:00:11,524 epoch 100 - iter 168/280 - loss 0.01227385 - time (sec): 10.85 - samples/sec: 11689.04 - lr: 0.025000 +2023-04-05 12:00:13,346 epoch 100 - iter 196/280 - loss 0.01225736 - time (sec): 12.67 - samples/sec: 11694.77 - lr: 0.025000 +2023-04-05 12:00:15,216 epoch 100 - iter 224/280 - loss 0.01244240 - time (sec): 14.54 - samples/sec: 11652.84 - lr: 0.025000 +2023-04-05 12:00:17,039 epoch 100 - iter 252/280 - loss 0.01243366 - time (sec): 16.36 - samples/sec: 11649.45 - lr: 0.025000 +2023-04-05 12:00:18,857 epoch 100 - iter 280/280 - loss 0.01273108 - time (sec): 18.18 - samples/sec: 11642.16 - lr: 0.025000 +2023-04-05 12:00:18,857 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:18,857 EPOCH 100 done: loss 0.0127 - lr 0.025000 +2023-04-05 12:00:18,857 BAD EPOCHS (no improvement): 1 +2023-04-05 12:00:18,860 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:20,726 epoch 101 - iter 28/280 - loss 0.01064416 - time (sec): 1.87 - samples/sec: 11505.15 - lr: 0.025000 +2023-04-05 12:00:22,561 epoch 101 - iter 56/280 - loss 0.01216237 - time (sec): 3.70 - samples/sec: 11553.91 - lr: 0.025000 +2023-04-05 12:00:24,399 epoch 101 - iter 84/280 - loss 0.01223580 - time (sec): 5.54 - samples/sec: 11592.08 - lr: 0.025000 +2023-04-05 12:00:26,214 epoch 101 - iter 112/280 - loss 0.01261770 - time (sec): 7.35 - samples/sec: 11645.73 - lr: 0.025000 +2023-04-05 12:00:28,062 epoch 101 - iter 140/280 - loss 0.01236011 - time (sec): 9.20 - samples/sec: 11589.76 - lr: 0.025000 +2023-04-05 12:00:29,927 epoch 101 - iter 168/280 - loss 0.01186516 - time (sec): 11.07 - samples/sec: 11567.81 - lr: 0.025000 +2023-04-05 12:00:31,731 epoch 101 - iter 196/280 - loss 0.01207753 - time (sec): 12.87 - samples/sec: 11571.43 - lr: 0.025000 +2023-04-05 12:00:33,524 epoch 101 - iter 224/280 - loss 0.01211180 - time (sec): 14.66 - samples/sec: 11589.93 - lr: 0.025000 +2023-04-05 12:00:35,330 epoch 101 - iter 252/280 - loss 0.01234716 - time (sec): 16.47 - samples/sec: 11601.29 - lr: 0.025000 +2023-04-05 12:00:37,148 epoch 101 - iter 280/280 - loss 0.01246501 - time (sec): 18.29 - samples/sec: 11575.50 - lr: 0.025000 +2023-04-05 12:00:37,148 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:37,148 EPOCH 101 done: loss 0.0125 - lr 0.025000 +2023-04-05 12:00:37,148 BAD EPOCHS (no improvement): 2 +2023-04-05 12:00:37,150 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:38,907 epoch 102 - iter 28/280 - loss 0.01175589 - time (sec): 1.76 - samples/sec: 11839.45 - lr: 0.025000 +2023-04-05 12:00:40,738 epoch 102 - iter 56/280 - loss 0.01227038 - time (sec): 3.59 - samples/sec: 11906.64 - lr: 0.025000 +2023-04-05 12:00:42,542 epoch 102 - iter 84/280 - loss 0.01149028 - time (sec): 5.39 - samples/sec: 11840.73 - lr: 0.025000 +2023-04-05 12:00:44,382 epoch 102 - iter 112/280 - loss 0.01199075 - time (sec): 7.23 - samples/sec: 11806.54 - lr: 0.025000 +2023-04-05 12:00:46,169 epoch 102 - iter 140/280 - loss 0.01196033 - time (sec): 9.02 - samples/sec: 11829.64 - lr: 0.025000 +2023-04-05 12:00:47,998 epoch 102 - iter 168/280 - loss 0.01231761 - time (sec): 10.85 - samples/sec: 11816.82 - lr: 0.025000 +2023-04-05 12:00:49,848 epoch 102 - iter 196/280 - loss 0.01233558 - time (sec): 12.70 - samples/sec: 11737.45 - lr: 0.025000 +2023-04-05 12:00:51,696 epoch 102 - iter 224/280 - loss 0.01242845 - time (sec): 14.55 - samples/sec: 11704.63 - lr: 0.025000 +2023-04-05 12:00:53,499 epoch 102 - iter 252/280 - loss 0.01275479 - time (sec): 16.35 - samples/sec: 11674.27 - lr: 0.025000 +2023-04-05 12:00:55,317 epoch 102 - iter 280/280 - loss 0.01253303 - time (sec): 18.17 - samples/sec: 11653.01 - lr: 0.025000 +2023-04-05 12:00:55,317 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:55,317 EPOCH 102 done: loss 0.0125 - lr 0.025000 +2023-04-05 12:00:55,317 BAD EPOCHS (no improvement): 3 +2023-04-05 12:00:55,319 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:00:57,196 epoch 103 - iter 28/280 - loss 0.01312249 - time (sec): 1.88 - samples/sec: 11709.39 - lr: 0.025000 +2023-04-05 12:00:58,987 epoch 103 - iter 56/280 - loss 0.01392855 - time (sec): 3.67 - samples/sec: 11736.36 - lr: 0.025000 +2023-04-05 12:01:00,816 epoch 103 - iter 84/280 - loss 0.01279326 - time (sec): 5.50 - samples/sec: 11721.00 - lr: 0.025000 +2023-04-05 12:01:02,626 epoch 103 - iter 112/280 - loss 0.01272329 - time (sec): 7.31 - samples/sec: 11726.97 - lr: 0.025000 +2023-04-05 12:01:04,446 epoch 103 - iter 140/280 - loss 0.01266934 - time (sec): 9.13 - samples/sec: 11702.48 - lr: 0.025000 +2023-04-05 12:01:06,268 epoch 103 - iter 168/280 - loss 0.01252231 - time (sec): 10.95 - samples/sec: 11701.97 - lr: 0.025000 +2023-04-05 12:01:08,054 epoch 103 - iter 196/280 - loss 0.01260058 - time (sec): 12.73 - samples/sec: 11727.38 - lr: 0.025000 +2023-04-05 12:01:09,852 epoch 103 - iter 224/280 - loss 0.01247411 - time (sec): 14.53 - samples/sec: 11735.64 - lr: 0.025000 +2023-04-05 12:01:11,633 epoch 103 - iter 252/280 - loss 0.01245813 - time (sec): 16.31 - samples/sec: 11710.52 - lr: 0.025000 +2023-04-05 12:01:13,363 epoch 103 - iter 280/280 - loss 0.01242916 - time (sec): 18.04 - samples/sec: 11731.72 - lr: 0.025000 +2023-04-05 12:01:13,364 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:01:13,364 EPOCH 103 done: loss 0.0124 - lr 0.025000 +2023-04-05 12:01:13,364 Epoch 103: reducing learning rate of group 0 to 1.2500e-02. +2023-04-05 12:01:13,364 BAD EPOCHS (no improvement): 4 +2023-04-05 12:01:13,367 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:01:15,219 epoch 104 - iter 28/280 - loss 0.01325120 - time (sec): 1.85 - samples/sec: 11664.70 - lr: 0.012500 +2023-04-05 12:01:16,990 epoch 104 - iter 56/280 - loss 0.01314208 - time (sec): 3.62 - samples/sec: 11896.00 - lr: 0.012500 +2023-04-05 12:01:18,736 epoch 104 - iter 84/280 - loss 0.01341299 - time (sec): 5.37 - samples/sec: 11952.69 - lr: 0.012500 +2023-04-05 12:01:20,566 epoch 104 - iter 112/280 - loss 0.01338248 - time (sec): 7.20 - samples/sec: 11862.63 - lr: 0.012500 +2023-04-05 12:01:23,736 epoch 104 - iter 140/280 - loss 0.01333953 - time (sec): 10.37 - samples/sec: 10305.11 - lr: 0.012500 +2023-04-05 12:01:25,519 epoch 104 - iter 168/280 - loss 0.01330268 - time (sec): 12.15 - samples/sec: 10544.37 - lr: 0.012500 +2023-04-05 12:01:27,325 epoch 104 - iter 196/280 - loss 0.01334608 - time (sec): 13.96 - samples/sec: 10707.07 - lr: 0.012500 +2023-04-05 12:01:29,127 epoch 104 - iter 224/280 - loss 0.01333539 - time (sec): 15.76 - samples/sec: 10811.34 - lr: 0.012500 +2023-04-05 12:01:30,920 epoch 104 - iter 252/280 - loss 0.01331231 - time (sec): 17.55 - samples/sec: 10890.04 - lr: 0.012500 +2023-04-05 12:01:32,684 epoch 104 - iter 280/280 - loss 0.01321725 - time (sec): 19.32 - samples/sec: 10959.28 - lr: 0.012500 +2023-04-05 12:01:32,684 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:01:32,684 EPOCH 104 done: loss 0.0132 - lr 0.012500 +2023-04-05 12:01:32,684 BAD EPOCHS (no improvement): 1 +2023-04-05 12:01:32,688 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:01:34,470 epoch 105 - iter 28/280 - loss 0.01184693 - time (sec): 1.78 - samples/sec: 11911.85 - lr: 0.012500 +2023-04-05 12:01:36,318 epoch 105 - iter 56/280 - loss 0.01250167 - time (sec): 3.63 - samples/sec: 11722.62 - lr: 0.012500 +2023-04-05 12:01:38,114 epoch 105 - iter 84/280 - loss 0.01274954 - time (sec): 5.43 - samples/sec: 11721.60 - lr: 0.012500 +2023-04-05 12:01:39,879 epoch 105 - iter 112/280 - loss 0.01257985 - time (sec): 7.19 - samples/sec: 11736.39 - lr: 0.012500 +2023-04-05 12:01:41,701 epoch 105 - iter 140/280 - loss 0.01271745 - time (sec): 9.01 - samples/sec: 11707.65 - lr: 0.012500 +2023-04-05 12:01:43,496 epoch 105 - iter 168/280 - loss 0.01254130 - time (sec): 10.81 - samples/sec: 11745.81 - lr: 0.012500 +2023-04-05 12:01:45,222 epoch 105 - iter 196/280 - loss 0.01260218 - time (sec): 12.53 - samples/sec: 11767.51 - lr: 0.012500 +2023-04-05 12:01:47,005 epoch 105 - iter 224/280 - loss 0.01237941 - time (sec): 14.32 - samples/sec: 11787.04 - lr: 0.012500 +2023-04-05 12:01:48,892 epoch 105 - iter 252/280 - loss 0.01213090 - time (sec): 16.20 - samples/sec: 11778.57 - lr: 0.012500 +2023-04-05 12:01:50,670 epoch 105 - iter 280/280 - loss 0.01227421 - time (sec): 17.98 - samples/sec: 11772.11 - lr: 0.012500 +2023-04-05 12:01:50,670 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:01:50,670 EPOCH 105 done: loss 0.0123 - lr 0.012500 +2023-04-05 12:01:50,670 BAD EPOCHS (no improvement): 0 +2023-04-05 12:01:50,673 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:01:52,499 epoch 106 - iter 28/280 - loss 0.01243735 - time (sec): 1.83 - samples/sec: 11736.66 - lr: 0.012500 +2023-04-05 12:01:54,325 epoch 106 - iter 56/280 - loss 0.01150349 - time (sec): 3.65 - samples/sec: 11705.56 - lr: 0.012500 +2023-04-05 12:01:56,092 epoch 106 - iter 84/280 - loss 0.01135112 - time (sec): 5.42 - samples/sec: 11713.03 - lr: 0.012500 +2023-04-05 12:01:57,822 epoch 106 - iter 112/280 - loss 0.01181898 - time (sec): 7.15 - samples/sec: 11767.41 - lr: 0.012500 +2023-04-05 12:01:59,637 epoch 106 - iter 140/280 - loss 0.01195970 - time (sec): 8.96 - samples/sec: 11727.78 - lr: 0.012500 +2023-04-05 12:02:01,489 epoch 106 - iter 168/280 - loss 0.01234897 - time (sec): 10.82 - samples/sec: 11699.64 - lr: 0.012500 +2023-04-05 12:02:03,298 epoch 106 - iter 196/280 - loss 0.01206787 - time (sec): 12.62 - samples/sec: 11699.56 - lr: 0.012500 +2023-04-05 12:02:05,105 epoch 106 - iter 224/280 - loss 0.01223198 - time (sec): 14.43 - samples/sec: 11730.95 - lr: 0.012500 +2023-04-05 12:02:06,937 epoch 106 - iter 252/280 - loss 0.01218783 - time (sec): 16.26 - samples/sec: 11738.87 - lr: 0.012500 +2023-04-05 12:02:08,730 epoch 106 - iter 280/280 - loss 0.01217398 - time (sec): 18.06 - samples/sec: 11723.78 - lr: 0.012500 +2023-04-05 12:02:08,730 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:02:08,730 EPOCH 106 done: loss 0.0122 - lr 0.012500 +2023-04-05 12:02:08,730 BAD EPOCHS (no improvement): 0 +2023-04-05 12:02:08,733 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:02:10,544 epoch 107 - iter 28/280 - loss 0.00966760 - time (sec): 1.81 - samples/sec: 11610.81 - lr: 0.012500 +2023-04-05 12:02:12,352 epoch 107 - iter 56/280 - loss 0.01036859 - time (sec): 3.62 - samples/sec: 11627.53 - lr: 0.012500 +2023-04-05 12:02:14,211 epoch 107 - iter 84/280 - loss 0.01102592 - time (sec): 5.48 - samples/sec: 11639.72 - lr: 0.012500 +2023-04-05 12:02:16,087 epoch 107 - iter 112/280 - loss 0.01157287 - time (sec): 7.35 - samples/sec: 11600.81 - lr: 0.012500 +2023-04-05 12:02:17,921 epoch 107 - iter 140/280 - loss 0.01170176 - time (sec): 9.19 - samples/sec: 11582.30 - lr: 0.012500 +2023-04-05 12:02:19,711 epoch 107 - iter 168/280 - loss 0.01196695 - time (sec): 10.98 - samples/sec: 11625.94 - lr: 0.012500 +2023-04-05 12:02:21,455 epoch 107 - iter 196/280 - loss 0.01171626 - time (sec): 12.72 - samples/sec: 11693.30 - lr: 0.012500 +2023-04-05 12:02:23,255 epoch 107 - iter 224/280 - loss 0.01159026 - time (sec): 14.52 - samples/sec: 11733.14 - lr: 0.012500 +2023-04-05 12:02:25,037 epoch 107 - iter 252/280 - loss 0.01166948 - time (sec): 16.30 - samples/sec: 11748.86 - lr: 0.012500 +2023-04-05 12:02:26,747 epoch 107 - iter 280/280 - loss 0.01169413 - time (sec): 18.01 - samples/sec: 11751.37 - lr: 0.012500 +2023-04-05 12:02:26,747 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:02:26,748 EPOCH 107 done: loss 0.0117 - lr 0.012500 +2023-04-05 12:02:26,748 BAD EPOCHS (no improvement): 0 +2023-04-05 12:02:26,751 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:02:28,513 epoch 108 - iter 28/280 - loss 0.01332731 - time (sec): 1.76 - samples/sec: 11800.29 - lr: 0.012500 +2023-04-05 12:02:30,356 epoch 108 - iter 56/280 - loss 0.01368120 - time (sec): 3.61 - samples/sec: 11732.28 - lr: 0.012500 +2023-04-05 12:02:32,145 epoch 108 - iter 84/280 - loss 0.01348220 - time (sec): 5.39 - samples/sec: 11826.82 - lr: 0.012500 +2023-04-05 12:02:33,909 epoch 108 - iter 112/280 - loss 0.01343601 - time (sec): 7.16 - samples/sec: 11904.02 - lr: 0.012500 +2023-04-05 12:02:35,627 epoch 108 - iter 140/280 - loss 0.01299514 - time (sec): 8.88 - samples/sec: 11952.62 - lr: 0.012500 +2023-04-05 12:02:37,472 epoch 108 - iter 168/280 - loss 0.01273404 - time (sec): 10.72 - samples/sec: 11866.41 - lr: 0.012500 +2023-04-05 12:02:39,256 epoch 108 - iter 196/280 - loss 0.01275609 - time (sec): 12.51 - samples/sec: 11847.86 - lr: 0.012500 +2023-04-05 12:02:41,058 epoch 108 - iter 224/280 - loss 0.01288186 - time (sec): 14.31 - samples/sec: 11859.81 - lr: 0.012500 +2023-04-05 12:02:42,853 epoch 108 - iter 252/280 - loss 0.01292018 - time (sec): 16.10 - samples/sec: 11839.18 - lr: 0.012500 +2023-04-05 12:02:44,713 epoch 108 - iter 280/280 - loss 0.01281842 - time (sec): 17.96 - samples/sec: 11785.46 - lr: 0.012500 +2023-04-05 12:02:44,713 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:02:44,713 EPOCH 108 done: loss 0.0128 - lr 0.012500 +2023-04-05 12:02:44,713 BAD EPOCHS (no improvement): 1 +2023-04-05 12:02:44,716 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:02:46,526 epoch 109 - iter 28/280 - loss 0.01221772 - time (sec): 1.81 - samples/sec: 11715.75 - lr: 0.012500 +2023-04-05 12:02:48,293 epoch 109 - iter 56/280 - loss 0.01213670 - time (sec): 3.58 - samples/sec: 11852.56 - lr: 0.012500 +2023-04-05 12:02:50,083 epoch 109 - iter 84/280 - loss 0.01232148 - time (sec): 5.37 - samples/sec: 11813.92 - lr: 0.012500 +2023-04-05 12:02:51,907 epoch 109 - iter 112/280 - loss 0.01273374 - time (sec): 7.19 - samples/sec: 11798.62 - lr: 0.012500 +2023-04-05 12:02:53,672 epoch 109 - iter 140/280 - loss 0.01257894 - time (sec): 8.96 - samples/sec: 11793.12 - lr: 0.012500 +2023-04-05 12:02:55,528 epoch 109 - iter 168/280 - loss 0.01228648 - time (sec): 10.81 - samples/sec: 11728.52 - lr: 0.012500 +2023-04-05 12:02:57,385 epoch 109 - iter 196/280 - loss 0.01235073 - time (sec): 12.67 - samples/sec: 11704.66 - lr: 0.012500 +2023-04-05 12:02:59,165 epoch 109 - iter 224/280 - loss 0.01212374 - time (sec): 14.45 - samples/sec: 11721.36 - lr: 0.012500 +2023-04-05 12:03:00,962 epoch 109 - iter 252/280 - loss 0.01239836 - time (sec): 16.25 - samples/sec: 11748.10 - lr: 0.012500 +2023-04-05 12:03:02,740 epoch 109 - iter 280/280 - loss 0.01249306 - time (sec): 18.02 - samples/sec: 11745.09 - lr: 0.012500 +2023-04-05 12:03:02,740 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:02,740 EPOCH 109 done: loss 0.0125 - lr 0.012500 +2023-04-05 12:03:02,740 BAD EPOCHS (no improvement): 2 +2023-04-05 12:03:02,743 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:04,521 epoch 110 - iter 28/280 - loss 0.01119783 - time (sec): 1.78 - samples/sec: 12026.51 - lr: 0.012500 +2023-04-05 12:03:06,399 epoch 110 - iter 56/280 - loss 0.01246821 - time (sec): 3.66 - samples/sec: 11706.71 - lr: 0.012500 +2023-04-05 12:03:08,167 epoch 110 - iter 84/280 - loss 0.01210950 - time (sec): 5.42 - samples/sec: 11769.24 - lr: 0.012500 +2023-04-05 12:03:10,048 epoch 110 - iter 112/280 - loss 0.01180829 - time (sec): 7.30 - samples/sec: 11766.28 - lr: 0.012500 +2023-04-05 12:03:11,816 epoch 110 - iter 140/280 - loss 0.01164647 - time (sec): 9.07 - samples/sec: 11753.01 - lr: 0.012500 +2023-04-05 12:03:13,571 epoch 110 - iter 168/280 - loss 0.01159105 - time (sec): 10.83 - samples/sec: 11785.45 - lr: 0.012500 +2023-04-05 12:03:15,379 epoch 110 - iter 196/280 - loss 0.01157746 - time (sec): 12.64 - samples/sec: 11772.06 - lr: 0.012500 +2023-04-05 12:03:17,182 epoch 110 - iter 224/280 - loss 0.01159648 - time (sec): 14.44 - samples/sec: 11731.97 - lr: 0.012500 +2023-04-05 12:03:19,001 epoch 110 - iter 252/280 - loss 0.01175475 - time (sec): 16.26 - samples/sec: 11746.31 - lr: 0.012500 +2023-04-05 12:03:20,782 epoch 110 - iter 280/280 - loss 0.01185925 - time (sec): 18.04 - samples/sec: 11735.04 - lr: 0.012500 +2023-04-05 12:03:20,783 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:20,783 EPOCH 110 done: loss 0.0119 - lr 0.012500 +2023-04-05 12:03:20,783 BAD EPOCHS (no improvement): 3 +2023-04-05 12:03:20,786 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:22,562 epoch 111 - iter 28/280 - loss 0.00932374 - time (sec): 1.78 - samples/sec: 11883.94 - lr: 0.012500 +2023-04-05 12:03:24,337 epoch 111 - iter 56/280 - loss 0.00998230 - time (sec): 3.55 - samples/sec: 11864.13 - lr: 0.012500 +2023-04-05 12:03:26,183 epoch 111 - iter 84/280 - loss 0.01051739 - time (sec): 5.40 - samples/sec: 11747.17 - lr: 0.012500 +2023-04-05 12:03:27,950 epoch 111 - iter 112/280 - loss 0.01113727 - time (sec): 7.16 - samples/sec: 11767.04 - lr: 0.012500 +2023-04-05 12:03:29,760 epoch 111 - iter 140/280 - loss 0.01114099 - time (sec): 8.97 - samples/sec: 11735.88 - lr: 0.012500 +2023-04-05 12:03:31,581 epoch 111 - iter 168/280 - loss 0.01113536 - time (sec): 10.79 - samples/sec: 11706.10 - lr: 0.012500 +2023-04-05 12:03:33,425 epoch 111 - iter 196/280 - loss 0.01127911 - time (sec): 12.64 - samples/sec: 11711.74 - lr: 0.012500 +2023-04-05 12:03:35,241 epoch 111 - iter 224/280 - loss 0.01115847 - time (sec): 14.45 - samples/sec: 11714.40 - lr: 0.012500 +2023-04-05 12:03:37,039 epoch 111 - iter 252/280 - loss 0.01120779 - time (sec): 16.25 - samples/sec: 11722.32 - lr: 0.012500 +2023-04-05 12:03:38,838 epoch 111 - iter 280/280 - loss 0.01119183 - time (sec): 18.05 - samples/sec: 11727.09 - lr: 0.012500 +2023-04-05 12:03:38,838 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:38,838 EPOCH 111 done: loss 0.0112 - lr 0.012500 +2023-04-05 12:03:38,838 BAD EPOCHS (no improvement): 0 +2023-04-05 12:03:38,841 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:40,614 epoch 112 - iter 28/280 - loss 0.01096795 - time (sec): 1.77 - samples/sec: 11807.19 - lr: 0.012500 +2023-04-05 12:03:42,418 epoch 112 - iter 56/280 - loss 0.01120031 - time (sec): 3.58 - samples/sec: 11774.51 - lr: 0.012500 +2023-04-05 12:03:44,209 epoch 112 - iter 84/280 - loss 0.01132304 - time (sec): 5.37 - samples/sec: 11784.56 - lr: 0.012500 +2023-04-05 12:03:46,047 epoch 112 - iter 112/280 - loss 0.01107989 - time (sec): 7.21 - samples/sec: 11809.03 - lr: 0.012500 +2023-04-05 12:03:47,805 epoch 112 - iter 140/280 - loss 0.01158773 - time (sec): 8.96 - samples/sec: 11835.47 - lr: 0.012500 +2023-04-05 12:03:49,563 epoch 112 - iter 168/280 - loss 0.01209611 - time (sec): 10.72 - samples/sec: 11872.48 - lr: 0.012500 +2023-04-05 12:03:51,368 epoch 112 - iter 196/280 - loss 0.01185674 - time (sec): 12.53 - samples/sec: 11864.36 - lr: 0.012500 +2023-04-05 12:03:53,140 epoch 112 - iter 224/280 - loss 0.01193868 - time (sec): 14.30 - samples/sec: 11866.13 - lr: 0.012500 +2023-04-05 12:03:54,969 epoch 112 - iter 252/280 - loss 0.01196546 - time (sec): 16.13 - samples/sec: 11844.08 - lr: 0.012500 +2023-04-05 12:03:56,716 epoch 112 - iter 280/280 - loss 0.01195998 - time (sec): 17.88 - samples/sec: 11842.70 - lr: 0.012500 +2023-04-05 12:03:56,716 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:56,716 EPOCH 112 done: loss 0.0120 - lr 0.012500 +2023-04-05 12:03:56,716 BAD EPOCHS (no improvement): 1 +2023-04-05 12:03:56,719 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:03:58,460 epoch 113 - iter 28/280 - loss 0.01157594 - time (sec): 1.74 - samples/sec: 12012.46 - lr: 0.012500 +2023-04-05 12:04:00,317 epoch 113 - iter 56/280 - loss 0.01179186 - time (sec): 3.60 - samples/sec: 11724.88 - lr: 0.012500 +2023-04-05 12:04:02,111 epoch 113 - iter 84/280 - loss 0.01195041 - time (sec): 5.39 - samples/sec: 11740.98 - lr: 0.012500 +2023-04-05 12:04:03,887 epoch 113 - iter 112/280 - loss 0.01163289 - time (sec): 7.17 - samples/sec: 11831.13 - lr: 0.012500 +2023-04-05 12:04:05,668 epoch 113 - iter 140/280 - loss 0.01114858 - time (sec): 8.95 - samples/sec: 11783.27 - lr: 0.012500 +2023-04-05 12:04:07,514 epoch 113 - iter 168/280 - loss 0.01094912 - time (sec): 10.79 - samples/sec: 11724.88 - lr: 0.012500 +2023-04-05 12:04:09,322 epoch 113 - iter 196/280 - loss 0.01091043 - time (sec): 12.60 - samples/sec: 11738.78 - lr: 0.012500 +2023-04-05 12:04:11,122 epoch 113 - iter 224/280 - loss 0.01115677 - time (sec): 14.40 - samples/sec: 11732.08 - lr: 0.012500 +2023-04-05 12:04:12,977 epoch 113 - iter 252/280 - loss 0.01122948 - time (sec): 16.26 - samples/sec: 11740.58 - lr: 0.012500 +2023-04-05 12:04:14,777 epoch 113 - iter 280/280 - loss 0.01120865 - time (sec): 18.06 - samples/sec: 11723.11 - lr: 0.012500 +2023-04-05 12:04:14,777 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:04:14,777 EPOCH 113 done: loss 0.0112 - lr 0.012500 +2023-04-05 12:04:14,777 BAD EPOCHS (no improvement): 2 +2023-04-05 12:04:14,781 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:04:16,556 epoch 114 - iter 28/280 - loss 0.01050594 - time (sec): 1.77 - samples/sec: 11936.15 - lr: 0.012500 +2023-04-05 12:04:18,396 epoch 114 - iter 56/280 - loss 0.01080374 - time (sec): 3.61 - samples/sec: 11894.31 - lr: 0.012500 +2023-04-05 12:04:20,215 epoch 114 - iter 84/280 - loss 0.01074294 - time (sec): 5.43 - samples/sec: 11904.68 - lr: 0.012500 +2023-04-05 12:04:22,026 epoch 114 - iter 112/280 - loss 0.01079174 - time (sec): 7.24 - samples/sec: 11831.46 - lr: 0.012500 +2023-04-05 12:04:23,814 epoch 114 - iter 140/280 - loss 0.01113253 - time (sec): 9.03 - samples/sec: 11809.01 - lr: 0.012500 +2023-04-05 12:04:25,572 epoch 114 - iter 168/280 - loss 0.01105838 - time (sec): 10.79 - samples/sec: 11863.87 - lr: 0.012500 +2023-04-05 12:04:27,329 epoch 114 - iter 196/280 - loss 0.01093990 - time (sec): 12.55 - samples/sec: 11869.24 - lr: 0.012500 +2023-04-05 12:04:29,128 epoch 114 - iter 224/280 - loss 0.01105410 - time (sec): 14.35 - samples/sec: 11884.77 - lr: 0.012500 +2023-04-05 12:04:30,948 epoch 114 - iter 252/280 - loss 0.01113445 - time (sec): 16.17 - samples/sec: 11833.35 - lr: 0.012500 +2023-04-05 12:04:32,699 epoch 114 - iter 280/280 - loss 0.01098837 - time (sec): 17.92 - samples/sec: 11814.63 - lr: 0.012500 +2023-04-05 12:04:32,699 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:04:32,699 EPOCH 114 done: loss 0.0110 - lr 0.012500 +2023-04-05 12:04:32,699 BAD EPOCHS (no improvement): 0 +2023-04-05 12:04:32,702 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:04:34,476 epoch 115 - iter 28/280 - loss 0.01180769 - time (sec): 1.77 - samples/sec: 11863.89 - lr: 0.012500 +2023-04-05 12:04:36,332 epoch 115 - iter 56/280 - loss 0.01208287 - time (sec): 3.63 - samples/sec: 11723.32 - lr: 0.012500 +2023-04-05 12:04:38,187 epoch 115 - iter 84/280 - loss 0.01125099 - time (sec): 5.48 - samples/sec: 11680.61 - lr: 0.012500 +2023-04-05 12:04:39,973 epoch 115 - iter 112/280 - loss 0.01111443 - time (sec): 7.27 - samples/sec: 11671.26 - lr: 0.012500 +2023-04-05 12:04:41,843 epoch 115 - iter 140/280 - loss 0.01119981 - time (sec): 9.14 - samples/sec: 11643.05 - lr: 0.012500 +2023-04-05 12:04:43,616 epoch 115 - iter 168/280 - loss 0.01097438 - time (sec): 10.91 - samples/sec: 11677.93 - lr: 0.012500 +2023-04-05 12:04:45,372 epoch 115 - iter 196/280 - loss 0.01117566 - time (sec): 12.67 - samples/sec: 11708.73 - lr: 0.012500 +2023-04-05 12:04:47,136 epoch 115 - iter 224/280 - loss 0.01101021 - time (sec): 14.43 - samples/sec: 11766.71 - lr: 0.012500 +2023-04-05 12:04:48,926 epoch 115 - iter 252/280 - loss 0.01106010 - time (sec): 16.22 - samples/sec: 11763.58 - lr: 0.012500 +2023-04-05 12:04:50,722 epoch 115 - iter 280/280 - loss 0.01128993 - time (sec): 18.02 - samples/sec: 11747.32 - lr: 0.012500 +2023-04-05 12:04:50,723 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:04:50,723 EPOCH 115 done: loss 0.0113 - lr 0.012500 +2023-04-05 12:04:50,723 BAD EPOCHS (no improvement): 1 +2023-04-05 12:04:50,726 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:04:52,524 epoch 116 - iter 28/280 - loss 0.01201711 - time (sec): 1.80 - samples/sec: 11838.44 - lr: 0.012500 +2023-04-05 12:04:54,348 epoch 116 - iter 56/280 - loss 0.01195113 - time (sec): 3.62 - samples/sec: 11888.07 - lr: 0.012500 +2023-04-05 12:04:56,120 epoch 116 - iter 84/280 - loss 0.01229700 - time (sec): 5.39 - samples/sec: 11754.77 - lr: 0.012500 +2023-04-05 12:04:57,929 epoch 116 - iter 112/280 - loss 0.01266103 - time (sec): 7.20 - samples/sec: 11757.47 - lr: 0.012500 +2023-04-05 12:04:59,673 epoch 116 - iter 140/280 - loss 0.01228128 - time (sec): 8.95 - samples/sec: 11792.36 - lr: 0.012500 +2023-04-05 12:05:01,368 epoch 116 - iter 168/280 - loss 0.01205380 - time (sec): 10.64 - samples/sec: 11874.68 - lr: 0.012500 +2023-04-05 12:05:03,142 epoch 116 - iter 196/280 - loss 0.01178919 - time (sec): 12.42 - samples/sec: 11865.73 - lr: 0.012500 +2023-04-05 12:05:05,005 epoch 116 - iter 224/280 - loss 0.01191985 - time (sec): 14.28 - samples/sec: 11829.08 - lr: 0.012500 +2023-04-05 12:05:06,859 epoch 116 - iter 252/280 - loss 0.01167624 - time (sec): 16.13 - samples/sec: 11845.23 - lr: 0.012500 +2023-04-05 12:05:08,617 epoch 116 - iter 280/280 - loss 0.01177646 - time (sec): 17.89 - samples/sec: 11832.00 - lr: 0.012500 +2023-04-05 12:05:08,617 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:05:08,617 EPOCH 116 done: loss 0.0118 - lr 0.012500 +2023-04-05 12:05:08,617 BAD EPOCHS (no improvement): 2 +2023-04-05 12:05:08,621 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:05:10,388 epoch 117 - iter 28/280 - loss 0.00996882 - time (sec): 1.77 - samples/sec: 11712.94 - lr: 0.012500 +2023-04-05 12:05:12,170 epoch 117 - iter 56/280 - loss 0.00930017 - time (sec): 3.55 - samples/sec: 11788.39 - lr: 0.012500 +2023-04-05 12:05:13,982 epoch 117 - iter 84/280 - loss 0.00931808 - time (sec): 5.36 - samples/sec: 11779.83 - lr: 0.012500 +2023-04-05 12:05:15,838 epoch 117 - iter 112/280 - loss 0.00992919 - time (sec): 7.22 - samples/sec: 11745.63 - lr: 0.012500 +2023-04-05 12:05:17,643 epoch 117 - iter 140/280 - loss 0.01002179 - time (sec): 9.02 - samples/sec: 11740.48 - lr: 0.012500 +2023-04-05 12:05:19,466 epoch 117 - iter 168/280 - loss 0.01037592 - time (sec): 10.85 - samples/sec: 11721.72 - lr: 0.012500 +2023-04-05 12:05:21,261 epoch 117 - iter 196/280 - loss 0.01042152 - time (sec): 12.64 - samples/sec: 11714.94 - lr: 0.012500 +2023-04-05 12:05:23,089 epoch 117 - iter 224/280 - loss 0.01069902 - time (sec): 14.47 - samples/sec: 11711.95 - lr: 0.012500 +2023-04-05 12:05:24,888 epoch 117 - iter 252/280 - loss 0.01090005 - time (sec): 16.27 - samples/sec: 11738.69 - lr: 0.012500 +2023-04-05 12:05:26,630 epoch 117 - iter 280/280 - loss 0.01106367 - time (sec): 18.01 - samples/sec: 11754.58 - lr: 0.012500 +2023-04-05 12:05:26,630 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:05:26,630 EPOCH 117 done: loss 0.0111 - lr 0.012500 +2023-04-05 12:05:26,631 BAD EPOCHS (no improvement): 3 +2023-04-05 12:05:26,633 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:05:28,473 epoch 118 - iter 28/280 - loss 0.01142009 - time (sec): 1.84 - samples/sec: 11795.93 - lr: 0.012500 +2023-04-05 12:05:30,265 epoch 118 - iter 56/280 - loss 0.01209766 - time (sec): 3.63 - samples/sec: 11783.50 - lr: 0.012500 +2023-04-05 12:05:32,084 epoch 118 - iter 84/280 - loss 0.01230989 - time (sec): 5.45 - samples/sec: 11715.80 - lr: 0.012500 +2023-04-05 12:05:33,866 epoch 118 - iter 112/280 - loss 0.01210889 - time (sec): 7.23 - samples/sec: 11736.72 - lr: 0.012500 +2023-04-05 12:05:35,684 epoch 118 - iter 140/280 - loss 0.01195205 - time (sec): 9.05 - samples/sec: 11758.87 - lr: 0.012500 +2023-04-05 12:05:37,470 epoch 118 - iter 168/280 - loss 0.01186907 - time (sec): 10.84 - samples/sec: 11774.50 - lr: 0.012500 +2023-04-05 12:05:39,221 epoch 118 - iter 196/280 - loss 0.01163592 - time (sec): 12.59 - samples/sec: 11827.94 - lr: 0.012500 +2023-04-05 12:05:41,063 epoch 118 - iter 224/280 - loss 0.01144130 - time (sec): 14.43 - samples/sec: 11797.27 - lr: 0.012500 +2023-04-05 12:05:42,865 epoch 118 - iter 252/280 - loss 0.01156138 - time (sec): 16.23 - samples/sec: 11776.38 - lr: 0.012500 +2023-04-05 12:05:44,645 epoch 118 - iter 280/280 - loss 0.01160797 - time (sec): 18.01 - samples/sec: 11752.96 - lr: 0.012500 +2023-04-05 12:05:44,645 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:05:44,645 EPOCH 118 done: loss 0.0116 - lr 0.012500 +2023-04-05 12:05:44,645 Epoch 118: reducing learning rate of group 0 to 6.2500e-03. +2023-04-05 12:05:44,645 BAD EPOCHS (no improvement): 4 +2023-04-05 12:05:44,649 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:05:46,437 epoch 119 - iter 28/280 - loss 0.01072948 - time (sec): 1.79 - samples/sec: 11858.91 - lr: 0.006250 +2023-04-05 12:05:48,233 epoch 119 - iter 56/280 - loss 0.01086085 - time (sec): 3.58 - samples/sec: 11821.70 - lr: 0.006250 +2023-04-05 12:05:50,070 epoch 119 - iter 84/280 - loss 0.01109623 - time (sec): 5.42 - samples/sec: 11686.65 - lr: 0.006250 +2023-04-05 12:05:51,881 epoch 119 - iter 112/280 - loss 0.01119167 - time (sec): 7.23 - samples/sec: 11744.85 - lr: 0.006250 +2023-04-05 12:05:53,684 epoch 119 - iter 140/280 - loss 0.01120795 - time (sec): 9.03 - samples/sec: 11743.84 - lr: 0.006250 +2023-04-05 12:05:55,480 epoch 119 - iter 168/280 - loss 0.01147289 - time (sec): 10.83 - samples/sec: 11728.88 - lr: 0.006250 +2023-04-05 12:05:57,342 epoch 119 - iter 196/280 - loss 0.01152869 - time (sec): 12.69 - samples/sec: 11701.64 - lr: 0.006250 +2023-04-05 12:05:59,165 epoch 119 - iter 224/280 - loss 0.01130786 - time (sec): 14.52 - samples/sec: 11715.94 - lr: 0.006250 +2023-04-05 12:06:01,002 epoch 119 - iter 252/280 - loss 0.01141347 - time (sec): 16.35 - samples/sec: 11704.26 - lr: 0.006250 +2023-04-05 12:06:02,781 epoch 119 - iter 280/280 - loss 0.01141699 - time (sec): 18.13 - samples/sec: 11674.90 - lr: 0.006250 +2023-04-05 12:06:02,781 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:02,781 EPOCH 119 done: loss 0.0114 - lr 0.006250 +2023-04-05 12:06:02,781 BAD EPOCHS (no improvement): 1 +2023-04-05 12:06:02,784 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:04,560 epoch 120 - iter 28/280 - loss 0.00945488 - time (sec): 1.78 - samples/sec: 11898.13 - lr: 0.006250 +2023-04-05 12:06:06,323 epoch 120 - iter 56/280 - loss 0.00971431 - time (sec): 3.54 - samples/sec: 11829.85 - lr: 0.006250 +2023-04-05 12:06:08,141 epoch 120 - iter 84/280 - loss 0.00981638 - time (sec): 5.36 - samples/sec: 11822.16 - lr: 0.006250 +2023-04-05 12:06:09,946 epoch 120 - iter 112/280 - loss 0.01005684 - time (sec): 7.16 - samples/sec: 11788.18 - lr: 0.006250 +2023-04-05 12:06:11,698 epoch 120 - iter 140/280 - loss 0.01074333 - time (sec): 8.91 - samples/sec: 11814.19 - lr: 0.006250 +2023-04-05 12:06:13,505 epoch 120 - iter 168/280 - loss 0.01100882 - time (sec): 10.72 - samples/sec: 11799.01 - lr: 0.006250 +2023-04-05 12:06:15,288 epoch 120 - iter 196/280 - loss 0.01140791 - time (sec): 12.50 - samples/sec: 11812.91 - lr: 0.006250 +2023-04-05 12:06:17,122 epoch 120 - iter 224/280 - loss 0.01124203 - time (sec): 14.34 - samples/sec: 11800.92 - lr: 0.006250 +2023-04-05 12:06:18,947 epoch 120 - iter 252/280 - loss 0.01122156 - time (sec): 16.16 - samples/sec: 11811.79 - lr: 0.006250 +2023-04-05 12:06:20,737 epoch 120 - iter 280/280 - loss 0.01119354 - time (sec): 17.95 - samples/sec: 11791.53 - lr: 0.006250 +2023-04-05 12:06:20,737 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:20,737 EPOCH 120 done: loss 0.0112 - lr 0.006250 +2023-04-05 12:06:20,737 BAD EPOCHS (no improvement): 2 +2023-04-05 12:06:20,739 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:22,522 epoch 121 - iter 28/280 - loss 0.01033663 - time (sec): 1.78 - samples/sec: 11819.15 - lr: 0.006250 +2023-04-05 12:06:24,293 epoch 121 - iter 56/280 - loss 0.01057722 - time (sec): 3.55 - samples/sec: 11783.26 - lr: 0.006250 +2023-04-05 12:06:26,140 epoch 121 - iter 84/280 - loss 0.01008745 - time (sec): 5.40 - samples/sec: 11687.21 - lr: 0.006250 +2023-04-05 12:06:27,936 epoch 121 - iter 112/280 - loss 0.01089627 - time (sec): 7.20 - samples/sec: 11737.02 - lr: 0.006250 +2023-04-05 12:06:29,772 epoch 121 - iter 140/280 - loss 0.01118474 - time (sec): 9.03 - samples/sec: 11653.18 - lr: 0.006250 +2023-04-05 12:06:31,570 epoch 121 - iter 168/280 - loss 0.01108994 - time (sec): 10.83 - samples/sec: 11688.94 - lr: 0.006250 +2023-04-05 12:06:33,414 epoch 121 - iter 196/280 - loss 0.01100477 - time (sec): 12.67 - samples/sec: 11700.45 - lr: 0.006250 +2023-04-05 12:06:35,260 epoch 121 - iter 224/280 - loss 0.01093386 - time (sec): 14.52 - samples/sec: 11692.20 - lr: 0.006250 +2023-04-05 12:06:37,050 epoch 121 - iter 252/280 - loss 0.01093211 - time (sec): 16.31 - samples/sec: 11691.14 - lr: 0.006250 +2023-04-05 12:06:38,865 epoch 121 - iter 280/280 - loss 0.01094855 - time (sec): 18.13 - samples/sec: 11679.37 - lr: 0.006250 +2023-04-05 12:06:38,865 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:38,865 EPOCH 121 done: loss 0.0109 - lr 0.006250 +2023-04-05 12:06:38,865 BAD EPOCHS (no improvement): 0 +2023-04-05 12:06:38,868 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:40,669 epoch 122 - iter 28/280 - loss 0.01129554 - time (sec): 1.80 - samples/sec: 11761.16 - lr: 0.006250 +2023-04-05 12:06:42,416 epoch 122 - iter 56/280 - loss 0.01067775 - time (sec): 3.55 - samples/sec: 11844.17 - lr: 0.006250 +2023-04-05 12:06:44,213 epoch 122 - iter 84/280 - loss 0.01070966 - time (sec): 5.35 - samples/sec: 11890.69 - lr: 0.006250 +2023-04-05 12:06:46,030 epoch 122 - iter 112/280 - loss 0.01083069 - time (sec): 7.16 - samples/sec: 11858.14 - lr: 0.006250 +2023-04-05 12:06:47,781 epoch 122 - iter 140/280 - loss 0.01059356 - time (sec): 8.91 - samples/sec: 11870.82 - lr: 0.006250 +2023-04-05 12:06:49,601 epoch 122 - iter 168/280 - loss 0.01064965 - time (sec): 10.73 - samples/sec: 11847.89 - lr: 0.006250 +2023-04-05 12:06:51,369 epoch 122 - iter 196/280 - loss 0.01045740 - time (sec): 12.50 - samples/sec: 11844.57 - lr: 0.006250 +2023-04-05 12:06:53,204 epoch 122 - iter 224/280 - loss 0.01055529 - time (sec): 14.34 - samples/sec: 11860.11 - lr: 0.006250 +2023-04-05 12:06:54,998 epoch 122 - iter 252/280 - loss 0.01048694 - time (sec): 16.13 - samples/sec: 11837.60 - lr: 0.006250 +2023-04-05 12:06:56,771 epoch 122 - iter 280/280 - loss 0.01055719 - time (sec): 17.90 - samples/sec: 11824.56 - lr: 0.006250 +2023-04-05 12:06:56,771 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:56,771 EPOCH 122 done: loss 0.0106 - lr 0.006250 +2023-04-05 12:06:56,771 BAD EPOCHS (no improvement): 0 +2023-04-05 12:06:56,773 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:06:58,561 epoch 123 - iter 28/280 - loss 0.01270939 - time (sec): 1.79 - samples/sec: 11945.11 - lr: 0.006250 +2023-04-05 12:07:00,407 epoch 123 - iter 56/280 - loss 0.01133282 - time (sec): 3.63 - samples/sec: 11820.25 - lr: 0.006250 +2023-04-05 12:07:02,244 epoch 123 - iter 84/280 - loss 0.01121898 - time (sec): 5.47 - samples/sec: 11727.54 - lr: 0.006250 +2023-04-05 12:07:04,085 epoch 123 - iter 112/280 - loss 0.01178266 - time (sec): 7.31 - samples/sec: 11705.65 - lr: 0.006250 +2023-04-05 12:07:05,890 epoch 123 - iter 140/280 - loss 0.01141382 - time (sec): 9.12 - samples/sec: 11711.09 - lr: 0.006250 +2023-04-05 12:07:07,696 epoch 123 - iter 168/280 - loss 0.01127287 - time (sec): 10.92 - samples/sec: 11742.17 - lr: 0.006250 +2023-04-05 12:07:09,498 epoch 123 - iter 196/280 - loss 0.01110444 - time (sec): 12.72 - samples/sec: 11713.17 - lr: 0.006250 +2023-04-05 12:07:11,320 epoch 123 - iter 224/280 - loss 0.01101400 - time (sec): 14.55 - samples/sec: 11689.55 - lr: 0.006250 +2023-04-05 12:07:13,119 epoch 123 - iter 252/280 - loss 0.01096720 - time (sec): 16.35 - samples/sec: 11687.01 - lr: 0.006250 +2023-04-05 12:07:14,939 epoch 123 - iter 280/280 - loss 0.01107961 - time (sec): 18.17 - samples/sec: 11653.42 - lr: 0.006250 +2023-04-05 12:07:14,939 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:07:14,939 EPOCH 123 done: loss 0.0111 - lr 0.006250 +2023-04-05 12:07:14,939 BAD EPOCHS (no improvement): 1 +2023-04-05 12:07:14,941 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:07:16,682 epoch 124 - iter 28/280 - loss 0.01243923 - time (sec): 1.74 - samples/sec: 12054.38 - lr: 0.006250 +2023-04-05 12:07:18,482 epoch 124 - iter 56/280 - loss 0.01128348 - time (sec): 3.54 - samples/sec: 11887.96 - lr: 0.006250 +2023-04-05 12:07:20,259 epoch 124 - iter 84/280 - loss 0.01049447 - time (sec): 5.32 - samples/sec: 11877.55 - lr: 0.006250 +2023-04-05 12:07:22,079 epoch 124 - iter 112/280 - loss 0.01031175 - time (sec): 7.14 - samples/sec: 11815.06 - lr: 0.006250 +2023-04-05 12:07:23,904 epoch 124 - iter 140/280 - loss 0.01028150 - time (sec): 8.96 - samples/sec: 11769.32 - lr: 0.006250 +2023-04-05 12:07:25,688 epoch 124 - iter 168/280 - loss 0.01037011 - time (sec): 10.75 - samples/sec: 11833.37 - lr: 0.006250 +2023-04-05 12:07:27,570 epoch 124 - iter 196/280 - loss 0.01047649 - time (sec): 12.63 - samples/sec: 11803.01 - lr: 0.006250 +2023-04-05 12:07:29,378 epoch 124 - iter 224/280 - loss 0.01045159 - time (sec): 14.44 - samples/sec: 11799.64 - lr: 0.006250 +2023-04-05 12:07:31,150 epoch 124 - iter 252/280 - loss 0.01054015 - time (sec): 16.21 - samples/sec: 11788.30 - lr: 0.006250 +2023-04-05 12:07:32,930 epoch 124 - iter 280/280 - loss 0.01087892 - time (sec): 17.99 - samples/sec: 11768.33 - lr: 0.006250 +2023-04-05 12:07:32,930 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:07:32,930 EPOCH 124 done: loss 0.0109 - lr 0.006250 +2023-04-05 12:07:32,930 BAD EPOCHS (no improvement): 2 +2023-04-05 12:07:32,932 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:07:34,736 epoch 125 - iter 28/280 - loss 0.01188909 - time (sec): 1.80 - samples/sec: 11815.06 - lr: 0.006250 +2023-04-05 12:07:36,498 epoch 125 - iter 56/280 - loss 0.01194583 - time (sec): 3.57 - samples/sec: 11882.14 - lr: 0.006250 +2023-04-05 12:07:38,268 epoch 125 - iter 84/280 - loss 0.01154589 - time (sec): 5.34 - samples/sec: 11868.19 - lr: 0.006250 +2023-04-05 12:07:40,105 epoch 125 - iter 112/280 - loss 0.01142385 - time (sec): 7.17 - samples/sec: 11761.57 - lr: 0.006250 +2023-04-05 12:07:41,871 epoch 125 - iter 140/280 - loss 0.01104290 - time (sec): 8.94 - samples/sec: 11770.61 - lr: 0.006250 +2023-04-05 12:07:43,628 epoch 125 - iter 168/280 - loss 0.01102127 - time (sec): 10.70 - samples/sec: 11814.85 - lr: 0.006250 +2023-04-05 12:07:45,488 epoch 125 - iter 196/280 - loss 0.01077312 - time (sec): 12.56 - samples/sec: 11788.28 - lr: 0.006250 +2023-04-05 12:07:47,289 epoch 125 - iter 224/280 - loss 0.01078319 - time (sec): 14.36 - samples/sec: 11796.27 - lr: 0.006250 +2023-04-05 12:07:49,158 epoch 125 - iter 252/280 - loss 0.01088515 - time (sec): 16.23 - samples/sec: 11783.05 - lr: 0.006250 +2023-04-05 12:07:50,926 epoch 125 - iter 280/280 - loss 0.01080579 - time (sec): 17.99 - samples/sec: 11764.59 - lr: 0.006250 +2023-04-05 12:07:50,927 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:07:50,927 EPOCH 125 done: loss 0.0108 - lr 0.006250 +2023-04-05 12:07:50,927 BAD EPOCHS (no improvement): 3 +2023-04-05 12:07:50,929 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:07:52,764 epoch 126 - iter 28/280 - loss 0.01145382 - time (sec): 1.83 - samples/sec: 11547.67 - lr: 0.006250 +2023-04-05 12:07:54,543 epoch 126 - iter 56/280 - loss 0.01033521 - time (sec): 3.61 - samples/sec: 11659.67 - lr: 0.006250 +2023-04-05 12:07:56,342 epoch 126 - iter 84/280 - loss 0.01060870 - time (sec): 5.41 - samples/sec: 11789.53 - lr: 0.006250 +2023-04-05 12:07:58,114 epoch 126 - iter 112/280 - loss 0.01068080 - time (sec): 7.18 - samples/sec: 11822.28 - lr: 0.006250 +2023-04-05 12:07:59,948 epoch 126 - iter 140/280 - loss 0.01013108 - time (sec): 9.02 - samples/sec: 11813.76 - lr: 0.006250 +2023-04-05 12:08:01,720 epoch 126 - iter 168/280 - loss 0.01064802 - time (sec): 10.79 - samples/sec: 11799.91 - lr: 0.006250 +2023-04-05 12:08:03,517 epoch 126 - iter 196/280 - loss 0.01073286 - time (sec): 12.59 - samples/sec: 11789.11 - lr: 0.006250 +2023-04-05 12:08:05,317 epoch 126 - iter 224/280 - loss 0.01056839 - time (sec): 14.39 - samples/sec: 11806.15 - lr: 0.006250 +2023-04-05 12:08:07,121 epoch 126 - iter 252/280 - loss 0.01080325 - time (sec): 16.19 - samples/sec: 11781.05 - lr: 0.006250 +2023-04-05 12:08:08,887 epoch 126 - iter 280/280 - loss 0.01071723 - time (sec): 17.96 - samples/sec: 11788.67 - lr: 0.006250 +2023-04-05 12:08:08,887 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:08:08,887 EPOCH 126 done: loss 0.0107 - lr 0.006250 +2023-04-05 12:08:08,887 Epoch 126: reducing learning rate of group 0 to 3.1250e-03. +2023-04-05 12:08:08,887 BAD EPOCHS (no improvement): 4 +2023-04-05 12:08:08,889 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:08:10,659 epoch 127 - iter 28/280 - loss 0.01096951 - time (sec): 1.77 - samples/sec: 11948.09 - lr: 0.003125 +2023-04-05 12:08:12,444 epoch 127 - iter 56/280 - loss 0.01132439 - time (sec): 3.55 - samples/sec: 11913.84 - lr: 0.003125 +2023-04-05 12:08:14,247 epoch 127 - iter 84/280 - loss 0.01073329 - time (sec): 5.36 - samples/sec: 11825.17 - lr: 0.003125 +2023-04-05 12:08:16,141 epoch 127 - iter 112/280 - loss 0.01077826 - time (sec): 7.25 - samples/sec: 11719.21 - lr: 0.003125 +2023-04-05 12:08:17,911 epoch 127 - iter 140/280 - loss 0.01072616 - time (sec): 9.02 - samples/sec: 11727.39 - lr: 0.003125 +2023-04-05 12:08:19,754 epoch 127 - iter 168/280 - loss 0.01064664 - time (sec): 10.86 - samples/sec: 11716.51 - lr: 0.003125 +2023-04-05 12:08:21,583 epoch 127 - iter 196/280 - loss 0.01049034 - time (sec): 12.69 - samples/sec: 11683.88 - lr: 0.003125 +2023-04-05 12:08:24,830 epoch 127 - iter 224/280 - loss 0.01039444 - time (sec): 15.94 - samples/sec: 10651.48 - lr: 0.003125 +2023-04-05 12:08:26,661 epoch 127 - iter 252/280 - loss 0.01036164 - time (sec): 17.77 - samples/sec: 10764.89 - lr: 0.003125 +2023-04-05 12:08:28,395 epoch 127 - iter 280/280 - loss 0.01047828 - time (sec): 19.51 - samples/sec: 10853.01 - lr: 0.003125 +2023-04-05 12:08:28,395 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:08:28,395 EPOCH 127 done: loss 0.0105 - lr 0.003125 +2023-04-05 12:08:28,395 BAD EPOCHS (no improvement): 0 +2023-04-05 12:08:28,397 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:08:30,159 epoch 128 - iter 28/280 - loss 0.01152725 - time (sec): 1.76 - samples/sec: 11866.73 - lr: 0.003125 +2023-04-05 12:08:31,957 epoch 128 - iter 56/280 - loss 0.01114723 - time (sec): 3.56 - samples/sec: 11831.14 - lr: 0.003125 +2023-04-05 12:08:33,729 epoch 128 - iter 84/280 - loss 0.01110665 - time (sec): 5.33 - samples/sec: 11855.60 - lr: 0.003125 +2023-04-05 12:08:35,500 epoch 128 - iter 112/280 - loss 0.01139838 - time (sec): 7.10 - samples/sec: 11873.57 - lr: 0.003125 +2023-04-05 12:08:37,244 epoch 128 - iter 140/280 - loss 0.01118654 - time (sec): 8.85 - samples/sec: 11891.05 - lr: 0.003125 +2023-04-05 12:08:39,063 epoch 128 - iter 168/280 - loss 0.01120441 - time (sec): 10.67 - samples/sec: 11859.54 - lr: 0.003125 +2023-04-05 12:08:40,856 epoch 128 - iter 196/280 - loss 0.01100440 - time (sec): 12.46 - samples/sec: 11855.85 - lr: 0.003125 +2023-04-05 12:08:42,713 epoch 128 - iter 224/280 - loss 0.01118472 - time (sec): 14.32 - samples/sec: 11846.22 - lr: 0.003125 +2023-04-05 12:08:44,525 epoch 128 - iter 252/280 - loss 0.01128943 - time (sec): 16.13 - samples/sec: 11843.55 - lr: 0.003125 +2023-04-05 12:08:46,293 epoch 128 - iter 280/280 - loss 0.01129446 - time (sec): 17.90 - samples/sec: 11829.52 - lr: 0.003125 +2023-04-05 12:08:46,293 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:08:46,293 EPOCH 128 done: loss 0.0113 - lr 0.003125 +2023-04-05 12:08:46,293 BAD EPOCHS (no improvement): 1 +2023-04-05 12:08:46,296 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:08:48,078 epoch 129 - iter 28/280 - loss 0.01070158 - time (sec): 1.78 - samples/sec: 11630.10 - lr: 0.003125 +2023-04-05 12:08:49,871 epoch 129 - iter 56/280 - loss 0.01145810 - time (sec): 3.58 - samples/sec: 11711.22 - lr: 0.003125 +2023-04-05 12:08:51,684 epoch 129 - iter 84/280 - loss 0.01160917 - time (sec): 5.39 - samples/sec: 11685.24 - lr: 0.003125 +2023-04-05 12:08:53,564 epoch 129 - iter 112/280 - loss 0.01163926 - time (sec): 7.27 - samples/sec: 11623.54 - lr: 0.003125 +2023-04-05 12:08:55,380 epoch 129 - iter 140/280 - loss 0.01157989 - time (sec): 9.08 - samples/sec: 11677.40 - lr: 0.003125 +2023-04-05 12:08:57,190 epoch 129 - iter 168/280 - loss 0.01142378 - time (sec): 10.89 - samples/sec: 11692.53 - lr: 0.003125 +2023-04-05 12:08:59,047 epoch 129 - iter 196/280 - loss 0.01123575 - time (sec): 12.75 - samples/sec: 11686.76 - lr: 0.003125 +2023-04-05 12:09:00,856 epoch 129 - iter 224/280 - loss 0.01114607 - time (sec): 14.56 - samples/sec: 11684.40 - lr: 0.003125 +2023-04-05 12:09:02,665 epoch 129 - iter 252/280 - loss 0.01111714 - time (sec): 16.37 - samples/sec: 11683.62 - lr: 0.003125 +2023-04-05 12:09:04,399 epoch 129 - iter 280/280 - loss 0.01119902 - time (sec): 18.10 - samples/sec: 11693.17 - lr: 0.003125 +2023-04-05 12:09:04,400 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:09:04,400 EPOCH 129 done: loss 0.0112 - lr 0.003125 +2023-04-05 12:09:04,400 BAD EPOCHS (no improvement): 2 +2023-04-05 12:09:04,403 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:09:06,156 epoch 130 - iter 28/280 - loss 0.01159306 - time (sec): 1.75 - samples/sec: 12016.95 - lr: 0.003125 +2023-04-05 12:09:07,986 epoch 130 - iter 56/280 - loss 0.01042453 - time (sec): 3.58 - samples/sec: 11828.27 - lr: 0.003125 +2023-04-05 12:09:09,806 epoch 130 - iter 84/280 - loss 0.01032958 - time (sec): 5.40 - samples/sec: 11759.52 - lr: 0.003125 +2023-04-05 12:09:11,653 epoch 130 - iter 112/280 - loss 0.01015716 - time (sec): 7.25 - samples/sec: 11788.63 - lr: 0.003125 +2023-04-05 12:09:13,448 epoch 130 - iter 140/280 - loss 0.01064559 - time (sec): 9.05 - samples/sec: 11793.99 - lr: 0.003125 +2023-04-05 12:09:15,257 epoch 130 - iter 168/280 - loss 0.01101038 - time (sec): 10.85 - samples/sec: 11798.32 - lr: 0.003125 +2023-04-05 12:09:17,075 epoch 130 - iter 196/280 - loss 0.01096947 - time (sec): 12.67 - samples/sec: 11771.87 - lr: 0.003125 +2023-04-05 12:09:18,816 epoch 130 - iter 224/280 - loss 0.01129876 - time (sec): 14.41 - samples/sec: 11773.27 - lr: 0.003125 +2023-04-05 12:09:20,626 epoch 130 - iter 252/280 - loss 0.01117386 - time (sec): 16.22 - samples/sec: 11781.39 - lr: 0.003125 +2023-04-05 12:09:22,355 epoch 130 - iter 280/280 - loss 0.01124787 - time (sec): 17.95 - samples/sec: 11792.03 - lr: 0.003125 +2023-04-05 12:09:22,355 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:09:22,355 EPOCH 130 done: loss 0.0112 - lr 0.003125 +2023-04-05 12:09:22,355 BAD EPOCHS (no improvement): 3 +2023-04-05 12:09:22,357 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:09:24,098 epoch 131 - iter 28/280 - loss 0.01274766 - time (sec): 1.74 - samples/sec: 11732.26 - lr: 0.003125 +2023-04-05 12:09:25,897 epoch 131 - iter 56/280 - loss 0.01297943 - time (sec): 3.54 - samples/sec: 11670.09 - lr: 0.003125 +2023-04-05 12:09:27,746 epoch 131 - iter 84/280 - loss 0.01253925 - time (sec): 5.39 - samples/sec: 11597.76 - lr: 0.003125 +2023-04-05 12:09:29,594 epoch 131 - iter 112/280 - loss 0.01193371 - time (sec): 7.24 - samples/sec: 11602.38 - lr: 0.003125 +2023-04-05 12:09:31,404 epoch 131 - iter 140/280 - loss 0.01191074 - time (sec): 9.05 - samples/sec: 11628.14 - lr: 0.003125 +2023-04-05 12:09:33,216 epoch 131 - iter 168/280 - loss 0.01164349 - time (sec): 10.86 - samples/sec: 11634.36 - lr: 0.003125 +2023-04-05 12:09:35,012 epoch 131 - iter 196/280 - loss 0.01139492 - time (sec): 12.65 - samples/sec: 11674.63 - lr: 0.003125 +2023-04-05 12:09:36,831 epoch 131 - iter 224/280 - loss 0.01118010 - time (sec): 14.47 - samples/sec: 11670.40 - lr: 0.003125 +2023-04-05 12:09:38,696 epoch 131 - iter 252/280 - loss 0.01118353 - time (sec): 16.34 - samples/sec: 11675.20 - lr: 0.003125 +2023-04-05 12:09:40,452 epoch 131 - iter 280/280 - loss 0.01105305 - time (sec): 18.10 - samples/sec: 11698.77 - lr: 0.003125 +2023-04-05 12:09:40,453 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:09:40,453 EPOCH 131 done: loss 0.0111 - lr 0.003125 +2023-04-05 12:09:40,453 Epoch 131: reducing learning rate of group 0 to 1.5625e-03. +2023-04-05 12:09:40,453 BAD EPOCHS (no improvement): 4 +2023-04-05 12:09:40,458 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:09:42,228 epoch 132 - iter 28/280 - loss 0.00925874 - time (sec): 1.77 - samples/sec: 11817.55 - lr: 0.001563 +2023-04-05 12:09:44,037 epoch 132 - iter 56/280 - loss 0.00938656 - time (sec): 3.58 - samples/sec: 11873.20 - lr: 0.001563 +2023-04-05 12:09:45,822 epoch 132 - iter 84/280 - loss 0.00937389 - time (sec): 5.36 - samples/sec: 11856.89 - lr: 0.001563 +2023-04-05 12:09:47,637 epoch 132 - iter 112/280 - loss 0.00983262 - time (sec): 7.18 - samples/sec: 11802.86 - lr: 0.001563 +2023-04-05 12:09:49,484 epoch 132 - iter 140/280 - loss 0.00979822 - time (sec): 9.03 - samples/sec: 11726.72 - lr: 0.001563 +2023-04-05 12:09:51,219 epoch 132 - iter 168/280 - loss 0.00966243 - time (sec): 10.76 - samples/sec: 11753.10 - lr: 0.001563 +2023-04-05 12:09:53,028 epoch 132 - iter 196/280 - loss 0.01001616 - time (sec): 12.57 - samples/sec: 11783.12 - lr: 0.001563 +2023-04-05 12:09:54,851 epoch 132 - iter 224/280 - loss 0.00998480 - time (sec): 14.39 - samples/sec: 11758.14 - lr: 0.001563 +2023-04-05 12:09:56,666 epoch 132 - iter 252/280 - loss 0.01020045 - time (sec): 16.21 - samples/sec: 11783.30 - lr: 0.001563 +2023-04-05 12:09:58,477 epoch 132 - iter 280/280 - loss 0.01028833 - time (sec): 18.02 - samples/sec: 11748.35 - lr: 0.001563 +2023-04-05 12:09:58,477 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:09:58,477 EPOCH 132 done: loss 0.0103 - lr 0.001563 +2023-04-05 12:09:58,477 BAD EPOCHS (no improvement): 0 +2023-04-05 12:09:58,480 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:10:00,275 epoch 133 - iter 28/280 - loss 0.01116906 - time (sec): 1.80 - samples/sec: 11661.94 - lr: 0.001563 +2023-04-05 12:10:02,094 epoch 133 - iter 56/280 - loss 0.01068663 - time (sec): 3.61 - samples/sec: 11637.17 - lr: 0.001563 +2023-04-05 12:10:03,896 epoch 133 - iter 84/280 - loss 0.01087141 - time (sec): 5.42 - samples/sec: 11664.15 - lr: 0.001563 +2023-04-05 12:10:05,714 epoch 133 - iter 112/280 - loss 0.01074603 - time (sec): 7.23 - samples/sec: 11690.49 - lr: 0.001563 +2023-04-05 12:10:07,518 epoch 133 - iter 140/280 - loss 0.01085783 - time (sec): 9.04 - samples/sec: 11673.04 - lr: 0.001563 +2023-04-05 12:10:09,280 epoch 133 - iter 168/280 - loss 0.01118264 - time (sec): 10.80 - samples/sec: 11706.96 - lr: 0.001563 +2023-04-05 12:10:11,137 epoch 133 - iter 196/280 - loss 0.01105545 - time (sec): 12.66 - samples/sec: 11659.11 - lr: 0.001563 +2023-04-05 12:10:13,012 epoch 133 - iter 224/280 - loss 0.01101671 - time (sec): 14.53 - samples/sec: 11690.15 - lr: 0.001563 +2023-04-05 12:10:14,865 epoch 133 - iter 252/280 - loss 0.01071504 - time (sec): 16.38 - samples/sec: 11681.95 - lr: 0.001563 +2023-04-05 12:10:16,610 epoch 133 - iter 280/280 - loss 0.01080132 - time (sec): 18.13 - samples/sec: 11676.19 - lr: 0.001563 +2023-04-05 12:10:16,610 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:10:16,610 EPOCH 133 done: loss 0.0108 - lr 0.001563 +2023-04-05 12:10:16,610 BAD EPOCHS (no improvement): 1 +2023-04-05 12:10:16,613 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:10:18,441 epoch 134 - iter 28/280 - loss 0.01256331 - time (sec): 1.83 - samples/sec: 11730.61 - lr: 0.001563 +2023-04-05 12:10:20,299 epoch 134 - iter 56/280 - loss 0.01177924 - time (sec): 3.69 - samples/sec: 11673.17 - lr: 0.001563 +2023-04-05 12:10:22,095 epoch 134 - iter 84/280 - loss 0.01130821 - time (sec): 5.48 - samples/sec: 11696.07 - lr: 0.001563 +2023-04-05 12:10:23,839 epoch 134 - iter 112/280 - loss 0.01116989 - time (sec): 7.23 - samples/sec: 11725.82 - lr: 0.001563 +2023-04-05 12:10:25,652 epoch 134 - iter 140/280 - loss 0.01115525 - time (sec): 9.04 - samples/sec: 11688.71 - lr: 0.001563 +2023-04-05 12:10:27,458 epoch 134 - iter 168/280 - loss 0.01134369 - time (sec): 10.84 - samples/sec: 11720.49 - lr: 0.001563 +2023-04-05 12:10:29,235 epoch 134 - iter 196/280 - loss 0.01102286 - time (sec): 12.62 - samples/sec: 11703.48 - lr: 0.001563 +2023-04-05 12:10:31,002 epoch 134 - iter 224/280 - loss 0.01081519 - time (sec): 14.39 - samples/sec: 11757.46 - lr: 0.001563 +2023-04-05 12:10:32,820 epoch 134 - iter 252/280 - loss 0.01085078 - time (sec): 16.21 - samples/sec: 11777.45 - lr: 0.001563 +2023-04-05 12:10:34,590 epoch 134 - iter 280/280 - loss 0.01078023 - time (sec): 17.98 - samples/sec: 11775.52 - lr: 0.001563 +2023-04-05 12:10:34,591 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:10:34,591 EPOCH 134 done: loss 0.0108 - lr 0.001563 +2023-04-05 12:10:34,591 BAD EPOCHS (no improvement): 2 +2023-04-05 12:10:34,593 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:10:36,336 epoch 135 - iter 28/280 - loss 0.00972761 - time (sec): 1.74 - samples/sec: 12023.34 - lr: 0.001563 +2023-04-05 12:10:38,135 epoch 135 - iter 56/280 - loss 0.00962745 - time (sec): 3.54 - samples/sec: 11873.25 - lr: 0.001563 +2023-04-05 12:10:39,931 epoch 135 - iter 84/280 - loss 0.01074129 - time (sec): 5.34 - samples/sec: 11832.45 - lr: 0.001563 +2023-04-05 12:10:41,739 epoch 135 - iter 112/280 - loss 0.01078364 - time (sec): 7.15 - samples/sec: 11812.60 - lr: 0.001563 +2023-04-05 12:10:43,600 epoch 135 - iter 140/280 - loss 0.01101098 - time (sec): 9.01 - samples/sec: 11785.15 - lr: 0.001563 +2023-04-05 12:10:45,350 epoch 135 - iter 168/280 - loss 0.01097219 - time (sec): 10.76 - samples/sec: 11777.43 - lr: 0.001563 +2023-04-05 12:10:47,230 epoch 135 - iter 196/280 - loss 0.01070514 - time (sec): 12.64 - samples/sec: 11758.67 - lr: 0.001563 +2023-04-05 12:10:49,034 epoch 135 - iter 224/280 - loss 0.01082599 - time (sec): 14.44 - samples/sec: 11770.89 - lr: 0.001563 +2023-04-05 12:10:50,914 epoch 135 - iter 252/280 - loss 0.01092360 - time (sec): 16.32 - samples/sec: 11714.36 - lr: 0.001563 +2023-04-05 12:10:52,671 epoch 135 - iter 280/280 - loss 0.01072125 - time (sec): 18.08 - samples/sec: 11709.46 - lr: 0.001563 +2023-04-05 12:10:52,672 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:10:52,672 EPOCH 135 done: loss 0.0107 - lr 0.001563 +2023-04-05 12:10:52,672 BAD EPOCHS (no improvement): 3 +2023-04-05 12:10:52,674 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:10:54,467 epoch 136 - iter 28/280 - loss 0.01094650 - time (sec): 1.79 - samples/sec: 11686.32 - lr: 0.001563 +2023-04-05 12:10:56,267 epoch 136 - iter 56/280 - loss 0.01005064 - time (sec): 3.59 - samples/sec: 11738.90 - lr: 0.001563 +2023-04-05 12:10:58,060 epoch 136 - iter 84/280 - loss 0.01025726 - time (sec): 5.39 - samples/sec: 11799.17 - lr: 0.001563 +2023-04-05 12:10:59,871 epoch 136 - iter 112/280 - loss 0.01065586 - time (sec): 7.20 - samples/sec: 11827.42 - lr: 0.001563 +2023-04-05 12:11:01,678 epoch 136 - iter 140/280 - loss 0.01055461 - time (sec): 9.00 - samples/sec: 11803.89 - lr: 0.001563 +2023-04-05 12:11:03,408 epoch 136 - iter 168/280 - loss 0.01069580 - time (sec): 10.73 - samples/sec: 11858.91 - lr: 0.001563 +2023-04-05 12:11:05,227 epoch 136 - iter 196/280 - loss 0.01054740 - time (sec): 12.55 - samples/sec: 11805.86 - lr: 0.001563 +2023-04-05 12:11:07,023 epoch 136 - iter 224/280 - loss 0.01031011 - time (sec): 14.35 - samples/sec: 11814.10 - lr: 0.001563 +2023-04-05 12:11:08,820 epoch 136 - iter 252/280 - loss 0.01034674 - time (sec): 16.15 - samples/sec: 11830.00 - lr: 0.001563 +2023-04-05 12:11:10,582 epoch 136 - iter 280/280 - loss 0.01036827 - time (sec): 17.91 - samples/sec: 11821.31 - lr: 0.001563 +2023-04-05 12:11:10,582 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:11:10,582 EPOCH 136 done: loss 0.0104 - lr 0.001563 +2023-04-05 12:11:10,582 Epoch 136: reducing learning rate of group 0 to 7.8125e-04. +2023-04-05 12:11:10,582 BAD EPOCHS (no improvement): 4 +2023-04-05 12:11:10,585 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:11:12,345 epoch 137 - iter 28/280 - loss 0.01045206 - time (sec): 1.76 - samples/sec: 12024.67 - lr: 0.000781 +2023-04-05 12:11:14,122 epoch 137 - iter 56/280 - loss 0.01010636 - time (sec): 3.54 - samples/sec: 12038.35 - lr: 0.000781 +2023-04-05 12:11:15,977 epoch 137 - iter 84/280 - loss 0.01048397 - time (sec): 5.39 - samples/sec: 11884.62 - lr: 0.000781 +2023-04-05 12:11:17,762 epoch 137 - iter 112/280 - loss 0.01078085 - time (sec): 7.18 - samples/sec: 11861.36 - lr: 0.000781 +2023-04-05 12:11:19,548 epoch 137 - iter 140/280 - loss 0.01062931 - time (sec): 8.96 - samples/sec: 11867.66 - lr: 0.000781 +2023-04-05 12:11:21,394 epoch 137 - iter 168/280 - loss 0.01044636 - time (sec): 10.81 - samples/sec: 11809.44 - lr: 0.000781 +2023-04-05 12:11:23,173 epoch 137 - iter 196/280 - loss 0.01053905 - time (sec): 12.59 - samples/sec: 11782.60 - lr: 0.000781 +2023-04-05 12:11:25,005 epoch 137 - iter 224/280 - loss 0.01034119 - time (sec): 14.42 - samples/sec: 11777.53 - lr: 0.000781 +2023-04-05 12:11:26,804 epoch 137 - iter 252/280 - loss 0.01045793 - time (sec): 16.22 - samples/sec: 11781.42 - lr: 0.000781 +2023-04-05 12:11:28,580 epoch 137 - iter 280/280 - loss 0.01028058 - time (sec): 18.00 - samples/sec: 11763.82 - lr: 0.000781 +2023-04-05 12:11:28,581 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:11:28,581 EPOCH 137 done: loss 0.0103 - lr 0.000781 +2023-04-05 12:11:28,581 BAD EPOCHS (no improvement): 0 +2023-04-05 12:11:28,584 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:11:30,396 epoch 138 - iter 28/280 - loss 0.01084612 - time (sec): 1.81 - samples/sec: 11636.98 - lr: 0.000781 +2023-04-05 12:11:32,201 epoch 138 - iter 56/280 - loss 0.01159855 - time (sec): 3.62 - samples/sec: 11659.29 - lr: 0.000781 +2023-04-05 12:11:34,013 epoch 138 - iter 84/280 - loss 0.01204322 - time (sec): 5.43 - samples/sec: 11658.68 - lr: 0.000781 +2023-04-05 12:11:35,813 epoch 138 - iter 112/280 - loss 0.01142015 - time (sec): 7.23 - samples/sec: 11642.86 - lr: 0.000781 +2023-04-05 12:11:37,607 epoch 138 - iter 140/280 - loss 0.01136237 - time (sec): 9.02 - samples/sec: 11652.33 - lr: 0.000781 +2023-04-05 12:11:39,366 epoch 138 - iter 168/280 - loss 0.01105023 - time (sec): 10.78 - samples/sec: 11731.09 - lr: 0.000781 +2023-04-05 12:11:41,193 epoch 138 - iter 196/280 - loss 0.01119620 - time (sec): 12.61 - samples/sec: 11749.25 - lr: 0.000781 +2023-04-05 12:11:42,983 epoch 138 - iter 224/280 - loss 0.01100213 - time (sec): 14.40 - samples/sec: 11791.58 - lr: 0.000781 +2023-04-05 12:11:44,716 epoch 138 - iter 252/280 - loss 0.01097296 - time (sec): 16.13 - samples/sec: 11838.45 - lr: 0.000781 +2023-04-05 12:11:46,456 epoch 138 - iter 280/280 - loss 0.01090239 - time (sec): 17.87 - samples/sec: 11845.03 - lr: 0.000781 +2023-04-05 12:11:46,456 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:11:46,456 EPOCH 138 done: loss 0.0109 - lr 0.000781 +2023-04-05 12:11:46,456 BAD EPOCHS (no improvement): 1 +2023-04-05 12:11:46,458 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:11:48,230 epoch 139 - iter 28/280 - loss 0.00960729 - time (sec): 1.77 - samples/sec: 12200.58 - lr: 0.000781 +2023-04-05 12:11:49,988 epoch 139 - iter 56/280 - loss 0.00982174 - time (sec): 3.53 - samples/sec: 12125.24 - lr: 0.000781 +2023-04-05 12:11:51,812 epoch 139 - iter 84/280 - loss 0.01052495 - time (sec): 5.35 - samples/sec: 11985.15 - lr: 0.000781 +2023-04-05 12:11:53,623 epoch 139 - iter 112/280 - loss 0.01039308 - time (sec): 7.16 - samples/sec: 11855.74 - lr: 0.000781 +2023-04-05 12:11:55,416 epoch 139 - iter 140/280 - loss 0.01038677 - time (sec): 8.96 - samples/sec: 11816.64 - lr: 0.000781 +2023-04-05 12:11:57,196 epoch 139 - iter 168/280 - loss 0.01008153 - time (sec): 10.74 - samples/sec: 11788.76 - lr: 0.000781 +2023-04-05 12:11:58,957 epoch 139 - iter 196/280 - loss 0.00987411 - time (sec): 12.50 - samples/sec: 11810.43 - lr: 0.000781 +2023-04-05 12:12:00,771 epoch 139 - iter 224/280 - loss 0.00989098 - time (sec): 14.31 - samples/sec: 11842.11 - lr: 0.000781 +2023-04-05 12:12:02,633 epoch 139 - iter 252/280 - loss 0.00990100 - time (sec): 16.17 - samples/sec: 11812.85 - lr: 0.000781 +2023-04-05 12:12:04,444 epoch 139 - iter 280/280 - loss 0.00999831 - time (sec): 17.99 - samples/sec: 11770.27 - lr: 0.000781 +2023-04-05 12:12:04,444 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:12:04,444 EPOCH 139 done: loss 0.0100 - lr 0.000781 +2023-04-05 12:12:04,444 BAD EPOCHS (no improvement): 0 +2023-04-05 12:12:04,447 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:12:06,208 epoch 140 - iter 28/280 - loss 0.00909391 - time (sec): 1.76 - samples/sec: 11787.57 - lr: 0.000781 +2023-04-05 12:12:07,977 epoch 140 - iter 56/280 - loss 0.00860290 - time (sec): 3.53 - samples/sec: 11857.21 - lr: 0.000781 +2023-04-05 12:12:09,702 epoch 140 - iter 84/280 - loss 0.00902457 - time (sec): 5.26 - samples/sec: 11911.23 - lr: 0.000781 +2023-04-05 12:12:11,526 epoch 140 - iter 112/280 - loss 0.00901790 - time (sec): 7.08 - samples/sec: 11870.37 - lr: 0.000781 +2023-04-05 12:12:13,309 epoch 140 - iter 140/280 - loss 0.00961332 - time (sec): 8.86 - samples/sec: 11857.70 - lr: 0.000781 +2023-04-05 12:12:15,110 epoch 140 - iter 168/280 - loss 0.00958585 - time (sec): 10.66 - samples/sec: 11885.90 - lr: 0.000781 +2023-04-05 12:12:16,906 epoch 140 - iter 196/280 - loss 0.00973194 - time (sec): 12.46 - samples/sec: 11913.09 - lr: 0.000781 +2023-04-05 12:12:18,671 epoch 140 - iter 224/280 - loss 0.01007258 - time (sec): 14.22 - samples/sec: 11922.65 - lr: 0.000781 +2023-04-05 12:12:20,519 epoch 140 - iter 252/280 - loss 0.01018922 - time (sec): 16.07 - samples/sec: 11869.39 - lr: 0.000781 +2023-04-05 12:12:22,307 epoch 140 - iter 280/280 - loss 0.01021125 - time (sec): 17.86 - samples/sec: 11852.94 - lr: 0.000781 +2023-04-05 12:12:22,307 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:12:22,307 EPOCH 140 done: loss 0.0102 - lr 0.000781 +2023-04-05 12:12:22,307 BAD EPOCHS (no improvement): 1 +2023-04-05 12:12:22,309 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:12:24,035 epoch 141 - iter 28/280 - loss 0.01073215 - time (sec): 1.73 - samples/sec: 12004.33 - lr: 0.000781 +2023-04-05 12:12:25,851 epoch 141 - iter 56/280 - loss 0.01000618 - time (sec): 3.54 - samples/sec: 11890.97 - lr: 0.000781 +2023-04-05 12:12:27,636 epoch 141 - iter 84/280 - loss 0.00969786 - time (sec): 5.33 - samples/sec: 11873.27 - lr: 0.000781 +2023-04-05 12:12:29,466 epoch 141 - iter 112/280 - loss 0.00987680 - time (sec): 7.16 - samples/sec: 11836.51 - lr: 0.000781 +2023-04-05 12:12:31,312 epoch 141 - iter 140/280 - loss 0.00952684 - time (sec): 9.00 - samples/sec: 11825.34 - lr: 0.000781 +2023-04-05 12:12:33,160 epoch 141 - iter 168/280 - loss 0.00988177 - time (sec): 10.85 - samples/sec: 11767.49 - lr: 0.000781 +2023-04-05 12:12:35,024 epoch 141 - iter 196/280 - loss 0.01014547 - time (sec): 12.71 - samples/sec: 11735.81 - lr: 0.000781 +2023-04-05 12:12:36,829 epoch 141 - iter 224/280 - loss 0.01039188 - time (sec): 14.52 - samples/sec: 11730.31 - lr: 0.000781 +2023-04-05 12:12:38,605 epoch 141 - iter 252/280 - loss 0.01026791 - time (sec): 16.30 - samples/sec: 11726.45 - lr: 0.000781 +2023-04-05 12:12:40,337 epoch 141 - iter 280/280 - loss 0.01022648 - time (sec): 18.03 - samples/sec: 11742.75 - lr: 0.000781 +2023-04-05 12:12:40,337 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:12:40,337 EPOCH 141 done: loss 0.0102 - lr 0.000781 +2023-04-05 12:12:40,337 BAD EPOCHS (no improvement): 2 +2023-04-05 12:12:40,340 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:12:42,162 epoch 142 - iter 28/280 - loss 0.01213985 - time (sec): 1.82 - samples/sec: 11752.28 - lr: 0.000781 +2023-04-05 12:12:43,935 epoch 142 - iter 56/280 - loss 0.01074658 - time (sec): 3.60 - samples/sec: 11757.81 - lr: 0.000781 +2023-04-05 12:12:45,761 epoch 142 - iter 84/280 - loss 0.01102786 - time (sec): 5.42 - samples/sec: 11702.15 - lr: 0.000781 +2023-04-05 12:12:47,579 epoch 142 - iter 112/280 - loss 0.01064194 - time (sec): 7.24 - samples/sec: 11733.84 - lr: 0.000781 +2023-04-05 12:12:49,405 epoch 142 - iter 140/280 - loss 0.01066783 - time (sec): 9.07 - samples/sec: 11744.35 - lr: 0.000781 +2023-04-05 12:12:51,161 epoch 142 - iter 168/280 - loss 0.01059697 - time (sec): 10.82 - samples/sec: 11788.87 - lr: 0.000781 +2023-04-05 12:12:52,896 epoch 142 - iter 196/280 - loss 0.01059307 - time (sec): 12.56 - samples/sec: 11847.02 - lr: 0.000781 +2023-04-05 12:12:54,721 epoch 142 - iter 224/280 - loss 0.01085592 - time (sec): 14.38 - samples/sec: 11829.15 - lr: 0.000781 +2023-04-05 12:12:56,472 epoch 142 - iter 252/280 - loss 0.01093214 - time (sec): 16.13 - samples/sec: 11827.21 - lr: 0.000781 +2023-04-05 12:12:58,278 epoch 142 - iter 280/280 - loss 0.01083253 - time (sec): 17.94 - samples/sec: 11801.29 - lr: 0.000781 +2023-04-05 12:12:58,278 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:12:58,278 EPOCH 142 done: loss 0.0108 - lr 0.000781 +2023-04-05 12:12:58,278 BAD EPOCHS (no improvement): 3 +2023-04-05 12:12:58,281 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:13:00,123 epoch 143 - iter 28/280 - loss 0.01267777 - time (sec): 1.84 - samples/sec: 11608.54 - lr: 0.000781 +2023-04-05 12:13:01,903 epoch 143 - iter 56/280 - loss 0.01178169 - time (sec): 3.62 - samples/sec: 11745.25 - lr: 0.000781 +2023-04-05 12:13:03,730 epoch 143 - iter 84/280 - loss 0.01165349 - time (sec): 5.45 - samples/sec: 11810.74 - lr: 0.000781 +2023-04-05 12:13:05,494 epoch 143 - iter 112/280 - loss 0.01065898 - time (sec): 7.21 - samples/sec: 11878.49 - lr: 0.000781 +2023-04-05 12:13:07,299 epoch 143 - iter 140/280 - loss 0.01064630 - time (sec): 9.02 - samples/sec: 11866.61 - lr: 0.000781 +2023-04-05 12:13:09,088 epoch 143 - iter 168/280 - loss 0.01063665 - time (sec): 10.81 - samples/sec: 11821.23 - lr: 0.000781 +2023-04-05 12:13:10,855 epoch 143 - iter 196/280 - loss 0.01071972 - time (sec): 12.57 - samples/sec: 11816.67 - lr: 0.000781 +2023-04-05 12:13:12,708 epoch 143 - iter 224/280 - loss 0.01059566 - time (sec): 14.43 - samples/sec: 11810.31 - lr: 0.000781 +2023-04-05 12:13:14,537 epoch 143 - iter 252/280 - loss 0.01065342 - time (sec): 16.26 - samples/sec: 11776.92 - lr: 0.000781 +2023-04-05 12:13:16,271 epoch 143 - iter 280/280 - loss 0.01066816 - time (sec): 17.99 - samples/sec: 11767.23 - lr: 0.000781 +2023-04-05 12:13:16,271 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:13:16,271 EPOCH 143 done: loss 0.0107 - lr 0.000781 +2023-04-05 12:13:16,271 Epoch 143: reducing learning rate of group 0 to 3.9063e-04. +2023-04-05 12:13:16,271 BAD EPOCHS (no improvement): 4 +2023-04-05 12:13:16,274 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:13:18,126 epoch 144 - iter 28/280 - loss 0.01245578 - time (sec): 1.85 - samples/sec: 11673.38 - lr: 0.000391 +2023-04-05 12:13:19,913 epoch 144 - iter 56/280 - loss 0.01096762 - time (sec): 3.64 - samples/sec: 11746.34 - lr: 0.000391 +2023-04-05 12:13:21,717 epoch 144 - iter 84/280 - loss 0.01102028 - time (sec): 5.44 - samples/sec: 11778.04 - lr: 0.000391 +2023-04-05 12:13:23,514 epoch 144 - iter 112/280 - loss 0.01081096 - time (sec): 7.24 - samples/sec: 11787.26 - lr: 0.000391 +2023-04-05 12:13:25,308 epoch 144 - iter 140/280 - loss 0.01092085 - time (sec): 9.03 - samples/sec: 11757.57 - lr: 0.000391 +2023-04-05 12:13:27,104 epoch 144 - iter 168/280 - loss 0.01081241 - time (sec): 10.83 - samples/sec: 11769.31 - lr: 0.000391 +2023-04-05 12:13:28,872 epoch 144 - iter 196/280 - loss 0.01064821 - time (sec): 12.60 - samples/sec: 11784.91 - lr: 0.000391 +2023-04-05 12:13:30,674 epoch 144 - iter 224/280 - loss 0.01064948 - time (sec): 14.40 - samples/sec: 11801.91 - lr: 0.000391 +2023-04-05 12:13:32,473 epoch 144 - iter 252/280 - loss 0.01080856 - time (sec): 16.20 - samples/sec: 11782.90 - lr: 0.000391 +2023-04-05 12:13:34,214 epoch 144 - iter 280/280 - loss 0.01081265 - time (sec): 17.94 - samples/sec: 11799.68 - lr: 0.000391 +2023-04-05 12:13:34,215 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:13:34,215 EPOCH 144 done: loss 0.0108 - lr 0.000391 +2023-04-05 12:13:34,215 BAD EPOCHS (no improvement): 1 +2023-04-05 12:13:34,217 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:13:36,042 epoch 145 - iter 28/280 - loss 0.01026302 - time (sec): 1.82 - samples/sec: 11564.35 - lr: 0.000391 +2023-04-05 12:13:37,829 epoch 145 - iter 56/280 - loss 0.01016126 - time (sec): 3.61 - samples/sec: 11710.48 - lr: 0.000391 +2023-04-05 12:13:39,553 epoch 145 - iter 84/280 - loss 0.01030744 - time (sec): 5.34 - samples/sec: 11808.22 - lr: 0.000391 +2023-04-05 12:13:41,333 epoch 145 - iter 112/280 - loss 0.01021951 - time (sec): 7.12 - samples/sec: 11848.26 - lr: 0.000391 +2023-04-05 12:13:43,137 epoch 145 - iter 140/280 - loss 0.01010803 - time (sec): 8.92 - samples/sec: 11837.10 - lr: 0.000391 +2023-04-05 12:13:44,965 epoch 145 - iter 168/280 - loss 0.01026575 - time (sec): 10.75 - samples/sec: 11791.27 - lr: 0.000391 +2023-04-05 12:13:46,788 epoch 145 - iter 196/280 - loss 0.01036926 - time (sec): 12.57 - samples/sec: 11755.39 - lr: 0.000391 +2023-04-05 12:13:48,580 epoch 145 - iter 224/280 - loss 0.01050502 - time (sec): 14.36 - samples/sec: 11787.43 - lr: 0.000391 +2023-04-05 12:13:50,375 epoch 145 - iter 252/280 - loss 0.01034817 - time (sec): 16.16 - samples/sec: 11775.85 - lr: 0.000391 +2023-04-05 12:13:52,216 epoch 145 - iter 280/280 - loss 0.01032713 - time (sec): 18.00 - samples/sec: 11761.27 - lr: 0.000391 +2023-04-05 12:13:52,216 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:13:52,216 EPOCH 145 done: loss 0.0103 - lr 0.000391 +2023-04-05 12:13:52,216 BAD EPOCHS (no improvement): 2 +2023-04-05 12:13:52,219 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:13:54,040 epoch 146 - iter 28/280 - loss 0.01250359 - time (sec): 1.82 - samples/sec: 11528.75 - lr: 0.000391 +2023-04-05 12:13:55,850 epoch 146 - iter 56/280 - loss 0.01095527 - time (sec): 3.63 - samples/sec: 11754.23 - lr: 0.000391 +2023-04-05 12:13:57,619 epoch 146 - iter 84/280 - loss 0.01084596 - time (sec): 5.40 - samples/sec: 11811.85 - lr: 0.000391 +2023-04-05 12:13:59,439 epoch 146 - iter 112/280 - loss 0.01055029 - time (sec): 7.22 - samples/sec: 11827.54 - lr: 0.000391 +2023-04-05 12:14:01,251 epoch 146 - iter 140/280 - loss 0.01046470 - time (sec): 9.03 - samples/sec: 11788.31 - lr: 0.000391 +2023-04-05 12:14:03,103 epoch 146 - iter 168/280 - loss 0.01049046 - time (sec): 10.88 - samples/sec: 11727.81 - lr: 0.000391 +2023-04-05 12:14:04,854 epoch 146 - iter 196/280 - loss 0.01039761 - time (sec): 12.64 - samples/sec: 11776.26 - lr: 0.000391 +2023-04-05 12:14:06,612 epoch 146 - iter 224/280 - loss 0.01050378 - time (sec): 14.39 - samples/sec: 11773.26 - lr: 0.000391 +2023-04-05 12:14:08,410 epoch 146 - iter 252/280 - loss 0.01050673 - time (sec): 16.19 - samples/sec: 11779.91 - lr: 0.000391 +2023-04-05 12:14:10,174 epoch 146 - iter 280/280 - loss 0.01049592 - time (sec): 17.95 - samples/sec: 11790.35 - lr: 0.000391 +2023-04-05 12:14:10,174 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:14:10,174 EPOCH 146 done: loss 0.0105 - lr 0.000391 +2023-04-05 12:14:10,174 BAD EPOCHS (no improvement): 3 +2023-04-05 12:14:10,177 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:14:11,964 epoch 147 - iter 28/280 - loss 0.01157791 - time (sec): 1.79 - samples/sec: 11865.70 - lr: 0.000391 +2023-04-05 12:14:13,676 epoch 147 - iter 56/280 - loss 0.01138951 - time (sec): 3.50 - samples/sec: 11862.77 - lr: 0.000391 +2023-04-05 12:14:15,451 epoch 147 - iter 84/280 - loss 0.01136762 - time (sec): 5.27 - samples/sec: 11856.88 - lr: 0.000391 +2023-04-05 12:14:17,212 epoch 147 - iter 112/280 - loss 0.01112186 - time (sec): 7.04 - samples/sec: 11922.89 - lr: 0.000391 +2023-04-05 12:14:19,010 epoch 147 - iter 140/280 - loss 0.01106003 - time (sec): 8.83 - samples/sec: 11938.49 - lr: 0.000391 +2023-04-05 12:14:20,838 epoch 147 - iter 168/280 - loss 0.01063220 - time (sec): 10.66 - samples/sec: 11889.00 - lr: 0.000391 +2023-04-05 12:14:22,633 epoch 147 - iter 196/280 - loss 0.01074291 - time (sec): 12.46 - samples/sec: 11907.22 - lr: 0.000391 +2023-04-05 12:14:24,456 epoch 147 - iter 224/280 - loss 0.01055046 - time (sec): 14.28 - samples/sec: 11893.95 - lr: 0.000391 +2023-04-05 12:14:26,284 epoch 147 - iter 252/280 - loss 0.01051517 - time (sec): 16.11 - samples/sec: 11851.17 - lr: 0.000391 +2023-04-05 12:14:28,116 epoch 147 - iter 280/280 - loss 0.01035595 - time (sec): 17.94 - samples/sec: 11800.58 - lr: 0.000391 +2023-04-05 12:14:28,116 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:14:28,116 EPOCH 147 done: loss 0.0104 - lr 0.000391 +2023-04-05 12:14:28,116 Epoch 147: reducing learning rate of group 0 to 1.9531e-04. +2023-04-05 12:14:28,116 BAD EPOCHS (no improvement): 4 +2023-04-05 12:14:28,119 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:14:29,968 epoch 148 - iter 28/280 - loss 0.01297738 - time (sec): 1.85 - samples/sec: 11690.09 - lr: 0.000195 +2023-04-05 12:14:31,795 epoch 148 - iter 56/280 - loss 0.01176461 - time (sec): 3.68 - samples/sec: 11643.62 - lr: 0.000195 +2023-04-05 12:14:33,617 epoch 148 - iter 84/280 - loss 0.01069930 - time (sec): 5.50 - samples/sec: 11613.13 - lr: 0.000195 +2023-04-05 12:14:35,330 epoch 148 - iter 112/280 - loss 0.01032601 - time (sec): 7.21 - samples/sec: 11727.87 - lr: 0.000195 +2023-04-05 12:14:37,096 epoch 148 - iter 140/280 - loss 0.01041431 - time (sec): 8.98 - samples/sec: 11750.46 - lr: 0.000195 +2023-04-05 12:14:38,866 epoch 148 - iter 168/280 - loss 0.01027550 - time (sec): 10.75 - samples/sec: 11801.32 - lr: 0.000195 +2023-04-05 12:14:40,655 epoch 148 - iter 196/280 - loss 0.01055545 - time (sec): 12.54 - samples/sec: 11803.11 - lr: 0.000195 +2023-04-05 12:14:42,483 epoch 148 - iter 224/280 - loss 0.01045086 - time (sec): 14.36 - samples/sec: 11812.36 - lr: 0.000195 +2023-04-05 12:14:44,302 epoch 148 - iter 252/280 - loss 0.01041031 - time (sec): 16.18 - samples/sec: 11801.98 - lr: 0.000195 +2023-04-05 12:14:46,062 epoch 148 - iter 280/280 - loss 0.01036047 - time (sec): 17.94 - samples/sec: 11798.00 - lr: 0.000195 +2023-04-05 12:14:46,062 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:14:46,062 EPOCH 148 done: loss 0.0104 - lr 0.000195 +2023-04-05 12:14:46,062 BAD EPOCHS (no improvement): 1 +2023-04-05 12:14:46,065 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:14:47,836 epoch 149 - iter 28/280 - loss 0.01148945 - time (sec): 1.77 - samples/sec: 12126.88 - lr: 0.000195 +2023-04-05 12:14:49,636 epoch 149 - iter 56/280 - loss 0.01007240 - time (sec): 3.57 - samples/sec: 11983.05 - lr: 0.000195 +2023-04-05 12:14:51,423 epoch 149 - iter 84/280 - loss 0.01100695 - time (sec): 5.36 - samples/sec: 11949.38 - lr: 0.000195 +2023-04-05 12:14:53,231 epoch 149 - iter 112/280 - loss 0.01096823 - time (sec): 7.17 - samples/sec: 11962.80 - lr: 0.000195 +2023-04-05 12:14:55,038 epoch 149 - iter 140/280 - loss 0.01088771 - time (sec): 8.97 - samples/sec: 11930.03 - lr: 0.000195 +2023-04-05 12:14:56,868 epoch 149 - iter 168/280 - loss 0.01070884 - time (sec): 10.80 - samples/sec: 11840.10 - lr: 0.000195 +2023-04-05 12:14:58,709 epoch 149 - iter 196/280 - loss 0.01078719 - time (sec): 12.64 - samples/sec: 11788.73 - lr: 0.000195 +2023-04-05 12:15:00,460 epoch 149 - iter 224/280 - loss 0.01081691 - time (sec): 14.39 - samples/sec: 11782.86 - lr: 0.000195 +2023-04-05 12:15:02,316 epoch 149 - iter 252/280 - loss 0.01083639 - time (sec): 16.25 - samples/sec: 11752.66 - lr: 0.000195 +2023-04-05 12:15:04,061 epoch 149 - iter 280/280 - loss 0.01075966 - time (sec): 18.00 - samples/sec: 11763.32 - lr: 0.000195 +2023-04-05 12:15:04,061 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:15:04,061 EPOCH 149 done: loss 0.0108 - lr 0.000195 +2023-04-05 12:15:04,061 BAD EPOCHS (no improvement): 2 +2023-04-05 12:15:04,064 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:15:05,829 epoch 150 - iter 28/280 - loss 0.01103959 - time (sec): 1.76 - samples/sec: 11907.88 - lr: 0.000195 +2023-04-05 12:15:07,702 epoch 150 - iter 56/280 - loss 0.01115773 - time (sec): 3.64 - samples/sec: 11648.54 - lr: 0.000195 +2023-04-05 12:15:09,525 epoch 150 - iter 84/280 - loss 0.01086519 - time (sec): 5.46 - samples/sec: 11743.26 - lr: 0.000195 +2023-04-05 12:15:11,349 epoch 150 - iter 112/280 - loss 0.01100287 - time (sec): 7.28 - samples/sec: 11737.32 - lr: 0.000195 +2023-04-05 12:15:13,149 epoch 150 - iter 140/280 - loss 0.01119393 - time (sec): 9.08 - samples/sec: 11751.70 - lr: 0.000195 +2023-04-05 12:15:14,894 epoch 150 - iter 168/280 - loss 0.01122796 - time (sec): 10.83 - samples/sec: 11812.41 - lr: 0.000195 +2023-04-05 12:15:16,670 epoch 150 - iter 196/280 - loss 0.01098057 - time (sec): 12.61 - samples/sec: 11798.01 - lr: 0.000195 +2023-04-05 12:15:18,448 epoch 150 - iter 224/280 - loss 0.01097500 - time (sec): 14.38 - samples/sec: 11810.44 - lr: 0.000195 +2023-04-05 12:15:20,345 epoch 150 - iter 252/280 - loss 0.01104126 - time (sec): 16.28 - samples/sec: 11749.38 - lr: 0.000195 +2023-04-05 12:15:22,124 epoch 150 - iter 280/280 - loss 0.01096389 - time (sec): 18.06 - samples/sec: 11721.30 - lr: 0.000195 +2023-04-05 12:15:22,125 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:15:22,125 EPOCH 150 done: loss 0.0110 - lr 0.000195 +2023-04-05 12:15:22,125 BAD EPOCHS (no improvement): 3 +2023-04-05 12:15:23,401 ---------------------------------------------------------------------------------------------------- +2023-04-05 12:15:23,402 Testing using last state of model ... +2023-04-05 12:15:32,233 Evaluating as a multi-label problem: False +2023-04-05 12:15:32,332 0.9642 0.964 0.9641 0.937 +2023-04-05 12:15:32,332 +Results: +- F-score (micro) 0.9641 +- F-score (macro) 0.8041 +- Accuracy 0.937 + +By class: + precision recall f1-score support + + NP 0.9707 0.9678 0.9692 12422 + PP 0.9837 0.9890 0.9863 4811 + VP 0.9641 0.9674 0.9657 4658 + ADVP 0.8685 0.8614 0.8649 866 + SBAR 0.9402 0.9402 0.9402 535 + ADJP 0.8500 0.8151 0.8322 438 + PRT 0.7623 0.8774 0.8158 106 + CONJP 0.5833 0.7778 0.6667 9 + LST 0.0000 0.0000 0.0000 5 + INTJ 1.0000 1.0000 1.0000 2 + + micro avg 0.9642 0.9640 0.9641 23852 + macro avg 0.7923 0.8196 0.8041 23852 +weighted avg 0.9641 0.9640 0.9640 23852 + +2023-04-05 12:15:32,332 ----------------------------------------------------------------------------------------------------