2019-08-19 22:14:25,525 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:14:25,525 Model: "SequenceTagger( (embeddings): StackedEmbeddings( (list_embedding_0): BytePairEmbeddings(model=bpe-en-100000-50) (list_embedding_1): FlairEmbeddings( (lm): LanguageModel( (drop): Dropout(p=0.05) (encoder): Embedding(300, 100) (rnn): LSTM(100, 2048) (decoder): Linear(in_features=2048, out_features=300, bias=True) ) ) (list_embedding_2): FlairEmbeddings( (lm): LanguageModel( (drop): Dropout(p=0.05) (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=4196, out_features=4196, bias=True) (rnn): LSTM(4196, 256, bidirectional=True) (linear): Linear(in_features=512, out_features=5196, bias=True) )" 2019-08-19 22:14:25,526 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:14:25,526 Corpus: "Corpus: 75187 train + 9603 dev + 9479 test sentences" 2019-08-19 22:14:25,526 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:14:25,526 Parameters: 2019-08-19 22:14:25,526 - learning_rate: "0.1" 2019-08-19 22:14:25,526 - mini_batch_size: "32" 2019-08-19 22:14:25,526 - patience: "3" 2019-08-19 22:14:25,526 - anneal_factor: "0.5" 2019-08-19 22:14:25,526 - max_epochs: "150" 2019-08-19 22:14:25,526 - shuffle: "True" 2019-08-19 22:14:25,526 - train_with_dev: "True" 2019-08-19 22:14:25,526 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:14:25,526 Model training base path: "resources/taggers/release-frame-1" 2019-08-19 22:14:25,526 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:14:25,526 Device: cuda:0 2019-08-19 22:14:25,526 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:14:25,526 Embeddings storage mode: cpu 2019-08-19 22:14:25,536 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:14:25,593 epoch 1 - iter 0/2650 - loss 8.59099674 - samples/sec: 166389.25 2019-08-19 22:14:41,412 epoch 1 - iter 265/2650 - loss 1.66716476 - samples/sec: 542.39 2019-08-19 22:14:57,304 epoch 1 - iter 530/2650 - loss 1.41986128 - samples/sec: 546.97 2019-08-19 22:15:13,172 epoch 1 - iter 795/2650 - loss 1.29885042 - samples/sec: 539.89 2019-08-19 22:15:27,665 epoch 1 - iter 1060/2650 - loss 1.22151241 - samples/sec: 589.69 2019-08-19 22:15:41,800 epoch 1 - iter 1325/2650 - loss 1.16634340 - samples/sec: 604.46 2019-08-19 22:15:56,521 epoch 1 - iter 1590/2650 - loss 1.12070837 - samples/sec: 603.95 2019-08-19 22:16:11,121 epoch 1 - iter 1855/2650 - loss 1.08378805 - samples/sec: 589.69 2019-08-19 22:16:25,602 epoch 1 - iter 2120/2650 - loss 1.05318826 - samples/sec: 592.19 2019-08-19 22:16:41,221 epoch 1 - iter 2385/2650 - loss 1.02645120 - samples/sec: 547.22 2019-08-19 22:16:56,841 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:16:56,842 EPOCH 1 done: loss 1.0040 - lr 0.1000 2019-08-19 22:16:56,842 BAD EPOCHS (no improvement): 0 2019-08-19 22:16:56,843 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:16:56,905 epoch 2 - iter 0/2650 - loss 0.71326655 - samples/sec: 148954.06 2019-08-19 22:17:12,582 epoch 2 - iter 265/2650 - loss 0.77831452 - samples/sec: 546.90 2019-08-19 22:17:28,405 epoch 2 - iter 530/2650 - loss 0.76580608 - samples/sec: 542.87 2019-08-19 22:17:44,101 epoch 2 - iter 795/2650 - loss 0.76070495 - samples/sec: 544.23 2019-08-19 22:17:59,544 epoch 2 - iter 1060/2650 - loss 0.74993231 - samples/sec: 553.48 2019-08-19 22:18:15,125 epoch 2 - iter 1325/2650 - loss 0.74157147 - samples/sec: 548.44 2019-08-19 22:18:30,711 epoch 2 - iter 1590/2650 - loss 0.73339017 - samples/sec: 548.45 2019-08-19 22:18:46,295 epoch 2 - iter 1855/2650 - loss 0.72485553 - samples/sec: 548.30 2019-08-19 22:19:01,909 epoch 2 - iter 2120/2650 - loss 0.71856758 - samples/sec: 547.40 2019-08-19 22:19:17,512 epoch 2 - iter 2385/2650 - loss 0.71269892 - samples/sec: 547.79 2019-08-19 22:19:32,969 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:19:32,970 EPOCH 2 done: loss 0.7062 - lr 0.1000 2019-08-19 22:19:32,970 BAD EPOCHS (no improvement): 0 2019-08-19 22:19:32,970 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:19:33,022 epoch 3 - iter 0/2650 - loss 0.66013449 - samples/sec: 175833.98 2019-08-19 22:19:48,351 epoch 3 - iter 265/2650 - loss 0.63813129 - samples/sec: 557.47 2019-08-19 22:20:03,834 epoch 3 - iter 530/2650 - loss 0.63119037 - samples/sec: 551.82 2019-08-19 22:20:19,722 epoch 3 - iter 795/2650 - loss 0.62395838 - samples/sec: 537.89 2019-08-19 22:20:35,561 epoch 3 - iter 1060/2650 - loss 0.62048624 - samples/sec: 539.56 2019-08-19 22:20:51,399 epoch 3 - iter 1325/2650 - loss 0.61665931 - samples/sec: 539.55 2019-08-19 22:21:06,953 epoch 3 - iter 1590/2650 - loss 0.61261192 - samples/sec: 549.38 2019-08-19 22:21:22,532 epoch 3 - iter 1855/2650 - loss 0.61051426 - samples/sec: 548.45 2019-08-19 22:21:38,132 epoch 3 - iter 2120/2650 - loss 0.60595954 - samples/sec: 547.99 2019-08-19 22:21:53,714 epoch 3 - iter 2385/2650 - loss 0.60129196 - samples/sec: 548.60 2019-08-19 22:22:09,217 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:22:09,217 EPOCH 3 done: loss 0.5969 - lr 0.1000 2019-08-19 22:22:09,217 BAD EPOCHS (no improvement): 0 2019-08-19 22:22:09,218 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:22:09,274 epoch 4 - iter 0/2650 - loss 0.73410964 - samples/sec: 171117.84 2019-08-19 22:22:24,695 epoch 4 - iter 265/2650 - loss 0.54467585 - samples/sec: 554.12 2019-08-19 22:22:40,296 epoch 4 - iter 530/2650 - loss 0.54817504 - samples/sec: 547.49 2019-08-19 22:22:56,036 epoch 4 - iter 795/2650 - loss 0.54523838 - samples/sec: 543.01 2019-08-19 22:23:11,794 epoch 4 - iter 1060/2650 - loss 0.54426981 - samples/sec: 542.35 2019-08-19 22:23:27,530 epoch 4 - iter 1325/2650 - loss 0.53856475 - samples/sec: 543.08 2019-08-19 22:23:42,964 epoch 4 - iter 1590/2650 - loss 0.53494872 - samples/sec: 554.00 2019-08-19 22:23:58,885 epoch 4 - iter 1855/2650 - loss 0.53370361 - samples/sec: 536.57 2019-08-19 22:24:14,419 epoch 4 - iter 2120/2650 - loss 0.53064447 - samples/sec: 550.28 2019-08-19 22:24:29,732 epoch 4 - iter 2385/2650 - loss 0.52907321 - samples/sec: 558.20 2019-08-19 22:24:45,113 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:24:45,113 EPOCH 4 done: loss 0.5266 - lr 0.1000 2019-08-19 22:24:45,113 BAD EPOCHS (no improvement): 0 2019-08-19 22:24:45,114 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:24:45,176 epoch 5 - iter 0/2650 - loss 0.55943245 - samples/sec: 151349.33 2019-08-19 22:25:00,894 epoch 5 - iter 265/2650 - loss 0.49666332 - samples/sec: 543.47 2019-08-19 22:25:16,211 epoch 5 - iter 530/2650 - loss 0.49070507 - samples/sec: 557.88 2019-08-19 22:25:31,824 epoch 5 - iter 795/2650 - loss 0.48832441 - samples/sec: 547.32 2019-08-19 22:25:47,319 epoch 5 - iter 1060/2650 - loss 0.48710133 - samples/sec: 551.75 2019-08-19 22:26:02,681 epoch 5 - iter 1325/2650 - loss 0.48713623 - samples/sec: 556.41 2019-08-19 22:26:18,493 epoch 5 - iter 1590/2650 - loss 0.48673440 - samples/sec: 540.37 2019-08-19 22:26:34,114 epoch 5 - iter 1855/2650 - loss 0.48525438 - samples/sec: 547.05 2019-08-19 22:26:49,821 epoch 5 - iter 2120/2650 - loss 0.48228533 - samples/sec: 544.24 2019-08-19 22:27:05,325 epoch 5 - iter 2385/2650 - loss 0.48073424 - samples/sec: 551.34 2019-08-19 22:27:20,884 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:27:20,885 EPOCH 5 done: loss 0.4787 - lr 0.1000 2019-08-19 22:27:20,885 BAD EPOCHS (no improvement): 0 2019-08-19 22:27:20,886 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:27:20,942 epoch 6 - iter 0/2650 - loss 0.63221174 - samples/sec: 163445.48 2019-08-19 22:27:36,518 epoch 6 - iter 265/2650 - loss 0.46398676 - samples/sec: 548.59 2019-08-19 22:27:51,977 epoch 6 - iter 530/2650 - loss 0.45532704 - samples/sec: 552.70 2019-08-19 22:28:07,627 epoch 6 - iter 795/2650 - loss 0.45312193 - samples/sec: 546.06 2019-08-19 22:28:23,235 epoch 6 - iter 1060/2650 - loss 0.45119635 - samples/sec: 547.72 2019-08-19 22:28:38,804 epoch 6 - iter 1325/2650 - loss 0.44928052 - samples/sec: 549.00 2019-08-19 22:28:54,387 epoch 6 - iter 1590/2650 - loss 0.44701395 - samples/sec: 548.37 2019-08-19 22:29:10,303 epoch 6 - iter 1855/2650 - loss 0.44617447 - samples/sec: 536.74 2019-08-19 22:29:26,053 epoch 6 - iter 2120/2650 - loss 0.44550759 - samples/sec: 542.59 2019-08-19 22:29:41,594 epoch 6 - iter 2385/2650 - loss 0.44379488 - samples/sec: 550.15 2019-08-19 22:29:57,204 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:29:57,205 EPOCH 6 done: loss 0.4413 - lr 0.1000 2019-08-19 22:29:57,205 BAD EPOCHS (no improvement): 0 2019-08-19 22:29:57,206 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:29:57,269 epoch 7 - iter 0/2650 - loss 0.36317006 - samples/sec: 143673.62 2019-08-19 22:30:12,635 epoch 7 - iter 265/2650 - loss 0.43064775 - samples/sec: 556.15 2019-08-19 22:30:28,292 epoch 7 - iter 530/2650 - loss 0.42807218 - samples/sec: 545.74 2019-08-19 22:30:43,947 epoch 7 - iter 795/2650 - loss 0.42837209 - samples/sec: 545.79 2019-08-19 22:30:59,517 epoch 7 - iter 1060/2650 - loss 0.42643854 - samples/sec: 548.97 2019-08-19 22:31:15,198 epoch 7 - iter 1325/2650 - loss 0.42466972 - samples/sec: 545.01 2019-08-19 22:31:29,822 epoch 7 - iter 1590/2650 - loss 0.42211032 - samples/sec: 584.25 2019-08-19 22:31:44,510 epoch 7 - iter 1855/2650 - loss 0.41876253 - samples/sec: 581.63 2019-08-19 22:32:00,277 epoch 7 - iter 2120/2650 - loss 0.41826226 - samples/sec: 542.03 2019-08-19 22:32:15,866 epoch 7 - iter 2385/2650 - loss 0.41550759 - samples/sec: 548.33 2019-08-19 22:32:31,511 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:32:31,512 EPOCH 7 done: loss 0.4140 - lr 0.1000 2019-08-19 22:32:31,512 BAD EPOCHS (no improvement): 0 2019-08-19 22:32:31,513 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:32:31,574 epoch 8 - iter 0/2650 - loss 0.33519208 - samples/sec: 150001.89 2019-08-19 22:32:46,993 epoch 8 - iter 265/2650 - loss 0.39565657 - samples/sec: 554.23 2019-08-19 22:33:02,443 epoch 8 - iter 530/2650 - loss 0.39586843 - samples/sec: 553.17 2019-08-19 22:33:17,978 epoch 8 - iter 795/2650 - loss 0.39527225 - samples/sec: 549.95 2019-08-19 22:33:33,775 epoch 8 - iter 1060/2650 - loss 0.39428597 - samples/sec: 541.09 2019-08-19 22:33:49,308 epoch 8 - iter 1325/2650 - loss 0.39356758 - samples/sec: 550.31 2019-08-19 22:34:05,063 epoch 8 - iter 1590/2650 - loss 0.39483248 - samples/sec: 542.44 2019-08-19 22:34:20,923 epoch 8 - iter 1855/2650 - loss 0.39392606 - samples/sec: 538.68 2019-08-19 22:34:36,796 epoch 8 - iter 2120/2650 - loss 0.39315668 - samples/sec: 538.34 2019-08-19 22:34:52,501 epoch 8 - iter 2385/2650 - loss 0.39171238 - samples/sec: 544.32 2019-08-19 22:35:07,947 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:35:07,948 EPOCH 8 done: loss 0.3896 - lr 0.1000 2019-08-19 22:35:07,948 BAD EPOCHS (no improvement): 0 2019-08-19 22:35:07,948 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:35:08,023 epoch 9 - iter 0/2650 - loss 0.32004815 - samples/sec: 121257.79 2019-08-19 22:35:23,533 epoch 9 - iter 265/2650 - loss 0.37751624 - samples/sec: 550.99 2019-08-19 22:35:39,352 epoch 9 - iter 530/2650 - loss 0.37577435 - samples/sec: 540.10 2019-08-19 22:35:55,116 epoch 9 - iter 795/2650 - loss 0.37468442 - samples/sec: 542.02 2019-08-19 22:36:10,489 epoch 9 - iter 1060/2650 - loss 0.37479434 - samples/sec: 556.16 2019-08-19 22:36:26,140 epoch 9 - iter 1325/2650 - loss 0.37333183 - samples/sec: 546.07 2019-08-19 22:36:41,793 epoch 9 - iter 1590/2650 - loss 0.37138403 - samples/sec: 545.93 2019-08-19 22:36:57,509 epoch 9 - iter 1855/2650 - loss 0.37088640 - samples/sec: 543.62 2019-08-19 22:37:13,160 epoch 9 - iter 2120/2650 - loss 0.37074380 - samples/sec: 545.93 2019-08-19 22:37:28,750 epoch 9 - iter 2385/2650 - loss 0.36915331 - samples/sec: 548.37 2019-08-19 22:37:44,105 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:37:44,106 EPOCH 9 done: loss 0.3678 - lr 0.1000 2019-08-19 22:37:44,106 BAD EPOCHS (no improvement): 0 2019-08-19 22:37:44,107 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:37:44,173 epoch 10 - iter 0/2650 - loss 0.31227595 - samples/sec: 139415.56 2019-08-19 22:37:59,745 epoch 10 - iter 265/2650 - loss 0.35325827 - samples/sec: 548.61 2019-08-19 22:38:15,423 epoch 10 - iter 530/2650 - loss 0.35618448 - samples/sec: 544.95 2019-08-19 22:38:30,982 epoch 10 - iter 795/2650 - loss 0.35304262 - samples/sec: 549.19 2019-08-19 22:38:46,711 epoch 10 - iter 1060/2650 - loss 0.35399282 - samples/sec: 543.47 2019-08-19 22:39:02,313 epoch 10 - iter 1325/2650 - loss 0.35415561 - samples/sec: 547.77 2019-08-19 22:39:17,678 epoch 10 - iter 1590/2650 - loss 0.35292525 - samples/sec: 556.35 2019-08-19 22:39:33,263 epoch 10 - iter 1855/2650 - loss 0.35142478 - samples/sec: 548.27 2019-08-19 22:39:47,921 epoch 10 - iter 2120/2650 - loss 0.35047687 - samples/sec: 582.92 2019-08-19 22:40:02,128 epoch 10 - iter 2385/2650 - loss 0.35021392 - samples/sec: 601.45 2019-08-19 22:40:17,059 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:40:17,060 EPOCH 10 done: loss 0.3501 - lr 0.1000 2019-08-19 22:40:17,060 BAD EPOCHS (no improvement): 0 2019-08-19 22:40:17,060 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:40:17,117 epoch 11 - iter 0/2650 - loss 0.25498712 - samples/sec: 164742.30 2019-08-19 22:40:32,628 epoch 11 - iter 265/2650 - loss 0.34525151 - samples/sec: 550.93 2019-08-19 22:40:48,101 epoch 11 - iter 530/2650 - loss 0.34518316 - samples/sec: 552.24 2019-08-19 22:41:03,878 epoch 11 - iter 795/2650 - loss 0.34172974 - samples/sec: 541.59 2019-08-19 22:41:19,654 epoch 11 - iter 1060/2650 - loss 0.34100357 - samples/sec: 541.88 2019-08-19 22:41:35,265 epoch 11 - iter 1325/2650 - loss 0.34019736 - samples/sec: 547.51 2019-08-19 22:41:50,802 epoch 11 - iter 1590/2650 - loss 0.34044711 - samples/sec: 550.04 2019-08-19 22:42:06,345 epoch 11 - iter 1855/2650 - loss 0.33906932 - samples/sec: 549.80 2019-08-19 22:42:22,263 epoch 11 - iter 2120/2650 - loss 0.33910658 - samples/sec: 536.75 2019-08-19 22:42:38,010 epoch 11 - iter 2385/2650 - loss 0.33932851 - samples/sec: 542.78 2019-08-19 22:42:53,366 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:42:53,367 EPOCH 11 done: loss 0.3393 - lr 0.1000 2019-08-19 22:42:53,367 BAD EPOCHS (no improvement): 0 2019-08-19 22:42:53,368 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:42:53,434 epoch 12 - iter 0/2650 - loss 0.37560481 - samples/sec: 140623.81 2019-08-19 22:43:09,067 epoch 12 - iter 265/2650 - loss 0.33473621 - samples/sec: 546.52 2019-08-19 22:43:24,506 epoch 12 - iter 530/2650 - loss 0.33441279 - samples/sec: 553.52 2019-08-19 22:43:40,296 epoch 12 - iter 795/2650 - loss 0.33135085 - samples/sec: 541.03 2019-08-19 22:43:55,966 epoch 12 - iter 1060/2650 - loss 0.33122202 - samples/sec: 545.57 2019-08-19 22:44:11,373 epoch 12 - iter 1325/2650 - loss 0.33057416 - samples/sec: 554.98 2019-08-19 22:44:27,008 epoch 12 - iter 1590/2650 - loss 0.32995708 - samples/sec: 546.56 2019-08-19 22:44:42,766 epoch 12 - iter 1855/2650 - loss 0.32821617 - samples/sec: 542.18 2019-08-19 22:44:58,433 epoch 12 - iter 2120/2650 - loss 0.32715545 - samples/sec: 545.38 2019-08-19 22:45:14,059 epoch 12 - iter 2385/2650 - loss 0.32560495 - samples/sec: 547.09 2019-08-19 22:45:29,602 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:45:29,602 EPOCH 12 done: loss 0.3244 - lr 0.1000 2019-08-19 22:45:29,602 BAD EPOCHS (no improvement): 0 2019-08-19 22:45:29,603 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:45:29,658 epoch 13 - iter 0/2650 - loss 0.40027055 - samples/sec: 166600.46 2019-08-19 22:45:45,107 epoch 13 - iter 265/2650 - loss 0.31595895 - samples/sec: 553.22 2019-08-19 22:46:00,665 epoch 13 - iter 530/2650 - loss 0.31806686 - samples/sec: 549.24 2019-08-19 22:46:16,415 epoch 13 - iter 795/2650 - loss 0.31615453 - samples/sec: 542.45 2019-08-19 22:46:32,259 epoch 13 - iter 1060/2650 - loss 0.31794199 - samples/sec: 539.46 2019-08-19 22:46:47,820 epoch 13 - iter 1325/2650 - loss 0.31559066 - samples/sec: 549.30 2019-08-19 22:47:03,333 epoch 13 - iter 1590/2650 - loss 0.31472953 - samples/sec: 550.97 2019-08-19 22:47:18,953 epoch 13 - iter 1855/2650 - loss 0.31486845 - samples/sec: 546.99 2019-08-19 22:47:34,627 epoch 13 - iter 2120/2650 - loss 0.31325423 - samples/sec: 545.18 2019-08-19 22:47:50,434 epoch 13 - iter 2385/2650 - loss 0.31331975 - samples/sec: 540.69 2019-08-19 22:48:05,802 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:48:05,802 EPOCH 13 done: loss 0.3125 - lr 0.1000 2019-08-19 22:48:05,803 BAD EPOCHS (no improvement): 0 2019-08-19 22:48:05,804 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:48:05,857 epoch 14 - iter 0/2650 - loss 0.31171232 - samples/sec: 173455.27 2019-08-19 22:48:21,554 epoch 14 - iter 265/2650 - loss 0.31021067 - samples/sec: 544.36 2019-08-19 22:48:37,140 epoch 14 - iter 530/2650 - loss 0.30865761 - samples/sec: 548.36 2019-08-19 22:48:52,654 epoch 14 - iter 795/2650 - loss 0.30609431 - samples/sec: 550.67 2019-08-19 22:49:08,355 epoch 14 - iter 1060/2650 - loss 0.30612310 - samples/sec: 544.33 2019-08-19 22:49:24,046 epoch 14 - iter 1325/2650 - loss 0.30534654 - samples/sec: 544.70 2019-08-19 22:49:39,321 epoch 14 - iter 1590/2650 - loss 0.30470693 - samples/sec: 559.62 2019-08-19 22:49:54,699 epoch 14 - iter 1855/2650 - loss 0.30451178 - samples/sec: 555.76 2019-08-19 22:50:10,455 epoch 14 - iter 2120/2650 - loss 0.30375481 - samples/sec: 542.50 2019-08-19 22:50:26,173 epoch 14 - iter 2385/2650 - loss 0.30409149 - samples/sec: 543.73 2019-08-19 22:50:41,990 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:50:41,990 EPOCH 14 done: loss 0.3041 - lr 0.1000 2019-08-19 22:50:41,990 BAD EPOCHS (no improvement): 0 2019-08-19 22:50:41,991 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:50:42,061 epoch 15 - iter 0/2650 - loss 0.26974624 - samples/sec: 128232.42 2019-08-19 22:50:57,665 epoch 15 - iter 265/2650 - loss 0.30113069 - samples/sec: 547.66 2019-08-19 22:51:13,021 epoch 15 - iter 530/2650 - loss 0.29724519 - samples/sec: 556.52 2019-08-19 22:51:28,807 epoch 15 - iter 795/2650 - loss 0.29551158 - samples/sec: 541.22 2019-08-19 22:51:44,400 epoch 15 - iter 1060/2650 - loss 0.29572058 - samples/sec: 548.07 2019-08-19 22:52:00,282 epoch 15 - iter 1325/2650 - loss 0.29625220 - samples/sec: 538.09 2019-08-19 22:52:15,886 epoch 15 - iter 1590/2650 - loss 0.29645694 - samples/sec: 547.82 2019-08-19 22:52:31,528 epoch 15 - iter 1855/2650 - loss 0.29607825 - samples/sec: 546.23 2019-08-19 22:52:47,129 epoch 15 - iter 2120/2650 - loss 0.29543583 - samples/sec: 547.78 2019-08-19 22:53:02,934 epoch 15 - iter 2385/2650 - loss 0.29466721 - samples/sec: 540.76 2019-08-19 22:53:17,095 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:53:17,096 EPOCH 15 done: loss 0.2948 - lr 0.1000 2019-08-19 22:53:17,096 BAD EPOCHS (no improvement): 0 2019-08-19 22:53:17,097 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:53:17,154 epoch 16 - iter 0/2650 - loss 0.32539731 - samples/sec: 156406.15 2019-08-19 22:53:32,202 epoch 16 - iter 265/2650 - loss 0.29628976 - samples/sec: 567.86 2019-08-19 22:53:48,023 epoch 16 - iter 530/2650 - loss 0.28914000 - samples/sec: 540.05 2019-08-19 22:54:03,846 epoch 16 - iter 795/2650 - loss 0.28855277 - samples/sec: 539.98 2019-08-19 22:54:19,444 epoch 16 - iter 1060/2650 - loss 0.28792533 - samples/sec: 547.89 2019-08-19 22:54:34,945 epoch 16 - iter 1325/2650 - loss 0.28712722 - samples/sec: 551.52 2019-08-19 22:54:50,164 epoch 16 - iter 1590/2650 - loss 0.28790468 - samples/sec: 561.55 2019-08-19 22:55:05,794 epoch 16 - iter 1855/2650 - loss 0.28790515 - samples/sec: 546.72 2019-08-19 22:55:21,327 epoch 16 - iter 2120/2650 - loss 0.28790196 - samples/sec: 550.18 2019-08-19 22:55:37,013 epoch 16 - iter 2385/2650 - loss 0.28687749 - samples/sec: 544.81 2019-08-19 22:55:52,577 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:55:52,578 EPOCH 16 done: loss 0.2862 - lr 0.1000 2019-08-19 22:55:52,578 BAD EPOCHS (no improvement): 0 2019-08-19 22:55:52,579 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:55:52,630 epoch 17 - iter 0/2650 - loss 0.29281208 - samples/sec: 185293.79 2019-08-19 22:56:07,765 epoch 17 - iter 265/2650 - loss 0.28761848 - samples/sec: 564.74 2019-08-19 22:56:23,325 epoch 17 - iter 530/2650 - loss 0.28707239 - samples/sec: 549.24 2019-08-19 22:56:39,011 epoch 17 - iter 795/2650 - loss 0.28197558 - samples/sec: 544.75 2019-08-19 22:56:54,655 epoch 17 - iter 1060/2650 - loss 0.28149227 - samples/sec: 546.24 2019-08-19 22:57:10,171 epoch 17 - iter 1325/2650 - loss 0.28075268 - samples/sec: 551.00 2019-08-19 22:57:25,799 epoch 17 - iter 1590/2650 - loss 0.28031181 - samples/sec: 546.88 2019-08-19 22:57:41,612 epoch 17 - iter 1855/2650 - loss 0.27885337 - samples/sec: 540.44 2019-08-19 22:57:57,323 epoch 17 - iter 2120/2650 - loss 0.27892241 - samples/sec: 543.85 2019-08-19 22:58:13,271 epoch 17 - iter 2385/2650 - loss 0.27883772 - samples/sec: 535.90 2019-08-19 22:58:28,844 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:58:28,844 EPOCH 17 done: loss 0.2791 - lr 0.1000 2019-08-19 22:58:28,845 BAD EPOCHS (no improvement): 0 2019-08-19 22:58:28,846 ---------------------------------------------------------------------------------------------------- 2019-08-19 22:58:28,910 epoch 18 - iter 0/2650 - loss 0.36196372 - samples/sec: 141051.54 2019-08-19 22:58:44,344 epoch 18 - iter 265/2650 - loss 0.26994119 - samples/sec: 553.88 2019-08-19 22:58:59,984 epoch 18 - iter 530/2650 - loss 0.27388498 - samples/sec: 546.34 2019-08-19 22:59:15,718 epoch 18 - iter 795/2650 - loss 0.27343169 - samples/sec: 542.99 2019-08-19 22:59:31,503 epoch 18 - iter 1060/2650 - loss 0.27211975 - samples/sec: 541.42 2019-08-19 22:59:47,376 epoch 18 - iter 1325/2650 - loss 0.27284622 - samples/sec: 538.56 2019-08-19 23:00:02,740 epoch 18 - iter 1590/2650 - loss 0.27267814 - samples/sec: 556.48 2019-08-19 23:00:18,569 epoch 18 - iter 1855/2650 - loss 0.27193196 - samples/sec: 539.75 2019-08-19 23:00:34,215 epoch 18 - iter 2120/2650 - loss 0.27163399 - samples/sec: 546.15 2019-08-19 23:00:49,974 epoch 18 - iter 2385/2650 - loss 0.27103466 - samples/sec: 542.24 2019-08-19 23:01:05,395 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:01:05,396 EPOCH 18 done: loss 0.2706 - lr 0.1000 2019-08-19 23:01:05,396 BAD EPOCHS (no improvement): 0 2019-08-19 23:01:05,397 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:01:05,478 epoch 19 - iter 0/2650 - loss 0.44605967 - samples/sec: 110029.85 2019-08-19 23:01:21,188 epoch 19 - iter 265/2650 - loss 0.27579880 - samples/sec: 543.87 2019-08-19 23:01:36,844 epoch 19 - iter 530/2650 - loss 0.27479105 - samples/sec: 545.84 2019-08-19 23:01:52,491 epoch 19 - iter 795/2650 - loss 0.27288013 - samples/sec: 546.26 2019-08-19 23:02:08,263 epoch 19 - iter 1060/2650 - loss 0.27074773 - samples/sec: 541.77 2019-08-19 23:02:23,910 epoch 19 - iter 1325/2650 - loss 0.26891832 - samples/sec: 546.32 2019-08-19 23:02:39,612 epoch 19 - iter 1590/2650 - loss 0.26914633 - samples/sec: 544.25 2019-08-19 23:02:54,960 epoch 19 - iter 1855/2650 - loss 0.26778476 - samples/sec: 556.90 2019-08-19 23:03:10,479 epoch 19 - iter 2120/2650 - loss 0.26706822 - samples/sec: 550.66 2019-08-19 23:03:26,235 epoch 19 - iter 2385/2650 - loss 0.26696577 - samples/sec: 542.31 2019-08-19 23:03:41,875 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:03:41,876 EPOCH 19 done: loss 0.2667 - lr 0.1000 2019-08-19 23:03:41,876 BAD EPOCHS (no improvement): 0 2019-08-19 23:03:41,877 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:03:41,938 epoch 20 - iter 0/2650 - loss 0.25083759 - samples/sec: 152760.55 2019-08-19 23:03:57,386 epoch 20 - iter 265/2650 - loss 0.25438140 - samples/sec: 553.23 2019-08-19 23:04:12,867 epoch 20 - iter 530/2650 - loss 0.25417518 - samples/sec: 552.02 2019-08-19 23:04:28,404 epoch 20 - iter 795/2650 - loss 0.25683633 - samples/sec: 550.09 2019-08-19 23:04:44,207 epoch 20 - iter 1060/2650 - loss 0.25804393 - samples/sec: 540.55 2019-08-19 23:04:59,948 epoch 20 - iter 1325/2650 - loss 0.25740624 - samples/sec: 543.01 2019-08-19 23:05:15,705 epoch 20 - iter 1590/2650 - loss 0.25873520 - samples/sec: 542.38 2019-08-19 23:05:31,261 epoch 20 - iter 1855/2650 - loss 0.25834428 - samples/sec: 549.69 2019-08-19 23:05:46,991 epoch 20 - iter 2120/2650 - loss 0.25848088 - samples/sec: 543.20 2019-08-19 23:06:02,553 epoch 20 - iter 2385/2650 - loss 0.25866347 - samples/sec: 549.06 2019-08-19 23:06:18,028 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:06:18,029 EPOCH 20 done: loss 0.2593 - lr 0.1000 2019-08-19 23:06:18,029 BAD EPOCHS (no improvement): 0 2019-08-19 23:06:18,030 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:06:18,089 epoch 21 - iter 0/2650 - loss 0.29758686 - samples/sec: 155865.37 2019-08-19 23:06:33,576 epoch 21 - iter 265/2650 - loss 0.26903810 - samples/sec: 551.87 2019-08-19 23:06:49,132 epoch 21 - iter 530/2650 - loss 0.26203848 - samples/sec: 549.33 2019-08-19 23:07:04,816 epoch 21 - iter 795/2650 - loss 0.25924950 - samples/sec: 545.15 2019-08-19 23:07:20,361 epoch 21 - iter 1060/2650 - loss 0.25589746 - samples/sec: 549.86 2019-08-19 23:07:36,033 epoch 21 - iter 1325/2650 - loss 0.25551541 - samples/sec: 545.42 2019-08-19 23:07:51,805 epoch 21 - iter 1590/2650 - loss 0.25563869 - samples/sec: 541.86 2019-08-19 23:08:07,284 epoch 21 - iter 1855/2650 - loss 0.25579299 - samples/sec: 552.16 2019-08-19 23:08:23,067 epoch 21 - iter 2120/2650 - loss 0.25571547 - samples/sec: 541.39 2019-08-19 23:08:38,637 epoch 21 - iter 2385/2650 - loss 0.25513835 - samples/sec: 548.75 2019-08-19 23:08:54,222 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:08:54,223 EPOCH 21 done: loss 0.2545 - lr 0.1000 2019-08-19 23:08:54,223 BAD EPOCHS (no improvement): 0 2019-08-19 23:08:54,224 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:08:54,289 epoch 22 - iter 0/2650 - loss 0.21395457 - samples/sec: 141178.63 2019-08-19 23:09:09,780 epoch 22 - iter 265/2650 - loss 0.24386116 - samples/sec: 551.80 2019-08-19 23:09:25,399 epoch 22 - iter 530/2650 - loss 0.24441336 - samples/sec: 547.16 2019-08-19 23:09:41,199 epoch 22 - iter 795/2650 - loss 0.24841173 - samples/sec: 540.73 2019-08-19 23:09:56,855 epoch 22 - iter 1060/2650 - loss 0.24916057 - samples/sec: 545.68 2019-08-19 23:10:12,857 epoch 22 - iter 1325/2650 - loss 0.24848286 - samples/sec: 534.04 2019-08-19 23:10:28,289 epoch 22 - iter 1590/2650 - loss 0.24819781 - samples/sec: 553.83 2019-08-19 23:10:44,009 epoch 22 - iter 1855/2650 - loss 0.24882885 - samples/sec: 543.63 2019-08-19 23:10:59,925 epoch 22 - iter 2120/2650 - loss 0.24823141 - samples/sec: 536.83 2019-08-19 23:11:15,394 epoch 22 - iter 2385/2650 - loss 0.24767650 - samples/sec: 552.35 2019-08-19 23:11:30,540 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:11:30,541 EPOCH 22 done: loss 0.2477 - lr 0.1000 2019-08-19 23:11:30,541 BAD EPOCHS (no improvement): 0 2019-08-19 23:11:30,542 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:11:30,623 epoch 23 - iter 0/2650 - loss 0.32961702 - samples/sec: 110887.78 2019-08-19 23:11:46,281 epoch 23 - iter 265/2650 - loss 0.24561315 - samples/sec: 545.88 2019-08-19 23:12:01,896 epoch 23 - iter 530/2650 - loss 0.24569767 - samples/sec: 547.27 2019-08-19 23:12:17,622 epoch 23 - iter 795/2650 - loss 0.24614646 - samples/sec: 543.38 2019-08-19 23:12:33,098 epoch 23 - iter 1060/2650 - loss 0.24538210 - samples/sec: 552.17 2019-08-19 23:12:48,877 epoch 23 - iter 1325/2650 - loss 0.24573371 - samples/sec: 541.81 2019-08-19 23:13:04,544 epoch 23 - iter 1590/2650 - loss 0.24533843 - samples/sec: 545.51 2019-08-19 23:13:20,239 epoch 23 - iter 1855/2650 - loss 0.24477333 - samples/sec: 544.83 2019-08-19 23:13:35,857 epoch 23 - iter 2120/2650 - loss 0.24478856 - samples/sec: 547.13 2019-08-19 23:13:51,326 epoch 23 - iter 2385/2650 - loss 0.24425356 - samples/sec: 552.53 2019-08-19 23:14:06,949 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:14:06,950 EPOCH 23 done: loss 0.2443 - lr 0.1000 2019-08-19 23:14:06,950 BAD EPOCHS (no improvement): 0 2019-08-19 23:14:06,951 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:14:07,014 epoch 24 - iter 0/2650 - loss 0.22940646 - samples/sec: 145996.03 2019-08-19 23:14:22,684 epoch 24 - iter 265/2650 - loss 0.24241804 - samples/sec: 545.42 2019-08-19 23:14:38,112 epoch 24 - iter 530/2650 - loss 0.24192584 - samples/sec: 554.01 2019-08-19 23:14:53,887 epoch 24 - iter 795/2650 - loss 0.24196244 - samples/sec: 541.77 2019-08-19 23:15:09,698 epoch 24 - iter 1060/2650 - loss 0.24202560 - samples/sec: 540.41 2019-08-19 23:15:25,188 epoch 24 - iter 1325/2650 - loss 0.24212966 - samples/sec: 551.77 2019-08-19 23:15:40,697 epoch 24 - iter 1590/2650 - loss 0.24224858 - samples/sec: 551.17 2019-08-19 23:15:56,429 epoch 24 - iter 1855/2650 - loss 0.24258081 - samples/sec: 543.21 2019-08-19 23:16:12,124 epoch 24 - iter 2120/2650 - loss 0.24169834 - samples/sec: 544.42 2019-08-19 23:16:27,874 epoch 24 - iter 2385/2650 - loss 0.24149838 - samples/sec: 542.50 2019-08-19 23:16:43,357 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:16:43,358 EPOCH 24 done: loss 0.2409 - lr 0.1000 2019-08-19 23:16:43,358 BAD EPOCHS (no improvement): 0 2019-08-19 23:16:43,359 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:16:43,416 epoch 25 - iter 0/2650 - loss 0.15281026 - samples/sec: 162737.28 2019-08-19 23:16:58,804 epoch 25 - iter 265/2650 - loss 0.24365239 - samples/sec: 555.48 2019-08-19 23:17:14,360 epoch 25 - iter 530/2650 - loss 0.23803211 - samples/sec: 549.43 2019-08-19 23:17:29,826 epoch 25 - iter 795/2650 - loss 0.24004381 - samples/sec: 552.64 2019-08-19 23:17:45,531 epoch 25 - iter 1060/2650 - loss 0.23949026 - samples/sec: 544.12 2019-08-19 23:18:01,707 epoch 25 - iter 1325/2650 - loss 0.24007054 - samples/sec: 528.12 2019-08-19 23:18:17,281 epoch 25 - iter 1590/2650 - loss 0.23990514 - samples/sec: 548.87 2019-08-19 23:18:32,935 epoch 25 - iter 1855/2650 - loss 0.23850645 - samples/sec: 545.95 2019-08-19 23:18:48,787 epoch 25 - iter 2120/2650 - loss 0.23713523 - samples/sec: 539.13 2019-08-19 23:19:04,338 epoch 25 - iter 2385/2650 - loss 0.23645622 - samples/sec: 549.41 2019-08-19 23:19:19,853 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:19:19,853 EPOCH 25 done: loss 0.2358 - lr 0.1000 2019-08-19 23:19:19,853 BAD EPOCHS (no improvement): 0 2019-08-19 23:19:19,865 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:19:19,918 epoch 26 - iter 0/2650 - loss 0.25280866 - samples/sec: 169846.37 2019-08-19 23:19:35,520 epoch 26 - iter 265/2650 - loss 0.23254140 - samples/sec: 547.79 2019-08-19 23:19:51,013 epoch 26 - iter 530/2650 - loss 0.23291683 - samples/sec: 551.59 2019-08-19 23:20:06,578 epoch 26 - iter 795/2650 - loss 0.23140503 - samples/sec: 548.97 2019-08-19 23:20:22,135 epoch 26 - iter 1060/2650 - loss 0.23307124 - samples/sec: 549.31 2019-08-19 23:20:37,849 epoch 26 - iter 1325/2650 - loss 0.23289432 - samples/sec: 543.79 2019-08-19 23:20:53,381 epoch 26 - iter 1590/2650 - loss 0.23285426 - samples/sec: 550.47 2019-08-19 23:21:08,908 epoch 26 - iter 1855/2650 - loss 0.23267722 - samples/sec: 550.49 2019-08-19 23:21:24,560 epoch 26 - iter 2120/2650 - loss 0.23147020 - samples/sec: 545.95 2019-08-19 23:21:39,126 epoch 26 - iter 2385/2650 - loss 0.23136001 - samples/sec: 586.47 2019-08-19 23:21:53,714 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:21:53,715 EPOCH 26 done: loss 0.2313 - lr 0.1000 2019-08-19 23:21:53,715 BAD EPOCHS (no improvement): 0 2019-08-19 23:21:53,716 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:21:53,768 epoch 27 - iter 0/2650 - loss 0.19893721 - samples/sec: 170989.50 2019-08-19 23:22:08,007 epoch 27 - iter 265/2650 - loss 0.22608071 - samples/sec: 600.09 2019-08-19 23:22:22,336 epoch 27 - iter 530/2650 - loss 0.22911216 - samples/sec: 596.25 2019-08-19 23:22:36,504 epoch 27 - iter 795/2650 - loss 0.23148031 - samples/sec: 602.98 2019-08-19 23:22:50,890 epoch 27 - iter 1060/2650 - loss 0.23018177 - samples/sec: 593.72 2019-08-19 23:23:05,451 epoch 27 - iter 1325/2650 - loss 0.23101070 - samples/sec: 586.68 2019-08-19 23:23:19,810 epoch 27 - iter 1590/2650 - loss 0.23078214 - samples/sec: 595.00 2019-08-19 23:23:34,320 epoch 27 - iter 1855/2650 - loss 0.23087411 - samples/sec: 588.70 2019-08-19 23:23:48,953 epoch 27 - iter 2120/2650 - loss 0.22997535 - samples/sec: 583.49 2019-08-19 23:24:04,063 epoch 27 - iter 2385/2650 - loss 0.22988326 - samples/sec: 565.36 2019-08-19 23:24:19,715 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:24:19,720 EPOCH 27 done: loss 0.2296 - lr 0.1000 2019-08-19 23:24:19,721 BAD EPOCHS (no improvement): 0 2019-08-19 23:24:19,721 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:24:19,786 epoch 28 - iter 0/2650 - loss 0.16799319 - samples/sec: 139839.27 2019-08-19 23:24:35,416 epoch 28 - iter 265/2650 - loss 0.22863118 - samples/sec: 551.08 2019-08-19 23:24:51,046 epoch 28 - iter 530/2650 - loss 0.23042438 - samples/sec: 551.40 2019-08-19 23:25:07,171 epoch 28 - iter 795/2650 - loss 0.22825822 - samples/sec: 535.42 2019-08-19 23:25:23,109 epoch 28 - iter 1060/2650 - loss 0.22958359 - samples/sec: 540.92 2019-08-19 23:25:39,152 epoch 28 - iter 1325/2650 - loss 0.22838478 - samples/sec: 538.65 2019-08-19 23:25:54,749 epoch 28 - iter 1590/2650 - loss 0.22753342 - samples/sec: 554.20 2019-08-19 23:26:10,474 epoch 28 - iter 1855/2650 - loss 0.22668582 - samples/sec: 549.36 2019-08-19 23:26:26,343 epoch 28 - iter 2120/2650 - loss 0.22743414 - samples/sec: 544.30 2019-08-19 23:26:42,034 epoch 28 - iter 2385/2650 - loss 0.22676640 - samples/sec: 549.67 2019-08-19 23:26:57,388 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:26:57,390 EPOCH 28 done: loss 0.2264 - lr 0.1000 2019-08-19 23:26:57,390 BAD EPOCHS (no improvement): 0 2019-08-19 23:26:57,391 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:26:57,459 epoch 29 - iter 0/2650 - loss 0.14094543 - samples/sec: 134222.79 2019-08-19 23:27:13,226 epoch 29 - iter 265/2650 - loss 0.22493393 - samples/sec: 547.16 2019-08-19 23:27:28,854 epoch 29 - iter 530/2650 - loss 0.22503695 - samples/sec: 547.34 2019-08-19 23:27:44,628 epoch 29 - iter 795/2650 - loss 0.22391316 - samples/sec: 548.36 2019-08-19 23:28:00,218 epoch 29 - iter 1060/2650 - loss 0.22264189 - samples/sec: 548.73 2019-08-19 23:28:15,990 epoch 29 - iter 1325/2650 - loss 0.22262765 - samples/sec: 546.06 2019-08-19 23:28:31,859 epoch 29 - iter 1590/2650 - loss 0.22272510 - samples/sec: 542.80 2019-08-19 23:28:47,466 epoch 29 - iter 1855/2650 - loss 0.22293072 - samples/sec: 549.46 2019-08-19 23:29:03,216 epoch 29 - iter 2120/2650 - loss 0.22346011 - samples/sec: 544.38 2019-08-19 23:29:19,204 epoch 29 - iter 2385/2650 - loss 0.22328265 - samples/sec: 537.65 2019-08-19 23:29:34,816 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:29:34,816 EPOCH 29 done: loss 0.2229 - lr 0.1000 2019-08-19 23:29:34,817 BAD EPOCHS (no improvement): 0 2019-08-19 23:29:34,819 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:29:34,880 epoch 30 - iter 0/2650 - loss 0.18331525 - samples/sec: 151440.19 2019-08-19 23:29:50,391 epoch 30 - iter 265/2650 - loss 0.21686775 - samples/sec: 556.16 2019-08-19 23:30:06,243 epoch 30 - iter 530/2650 - loss 0.22085530 - samples/sec: 546.88 2019-08-19 23:30:21,941 epoch 30 - iter 795/2650 - loss 0.21849414 - samples/sec: 548.06 2019-08-19 23:30:37,700 epoch 30 - iter 1060/2650 - loss 0.21868353 - samples/sec: 547.15 2019-08-19 23:30:53,482 epoch 30 - iter 1325/2650 - loss 0.21961606 - samples/sec: 545.51 2019-08-19 23:31:09,394 epoch 30 - iter 1590/2650 - loss 0.22088999 - samples/sec: 541.80 2019-08-19 23:31:25,333 epoch 30 - iter 1855/2650 - loss 0.22086541 - samples/sec: 543.54 2019-08-19 23:31:41,055 epoch 30 - iter 2120/2650 - loss 0.22033209 - samples/sec: 545.03 2019-08-19 23:31:56,851 epoch 30 - iter 2385/2650 - loss 0.21995697 - samples/sec: 543.13 2019-08-19 23:32:12,423 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:32:12,424 EPOCH 30 done: loss 0.2203 - lr 0.1000 2019-08-19 23:32:12,424 BAD EPOCHS (no improvement): 0 2019-08-19 23:32:12,425 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:32:12,475 epoch 31 - iter 0/2650 - loss 0.12523431 - samples/sec: 188200.83 2019-08-19 23:32:27,799 epoch 31 - iter 265/2650 - loss 0.21382740 - samples/sec: 561.49 2019-08-19 23:32:43,427 epoch 31 - iter 530/2650 - loss 0.22013704 - samples/sec: 553.23 2019-08-19 23:32:59,225 epoch 31 - iter 795/2650 - loss 0.21953608 - samples/sec: 545.08 2019-08-19 23:33:14,718 epoch 31 - iter 1060/2650 - loss 0.21923459 - samples/sec: 555.21 2019-08-19 23:33:30,511 epoch 31 - iter 1325/2650 - loss 0.21956447 - samples/sec: 545.03 2019-08-19 23:33:46,238 epoch 31 - iter 1590/2650 - loss 0.21933896 - samples/sec: 545.06 2019-08-19 23:34:02,560 epoch 31 - iter 1855/2650 - loss 0.21926979 - samples/sec: 527.74 2019-08-19 23:34:18,284 epoch 31 - iter 2120/2650 - loss 0.21886710 - samples/sec: 547.19 2019-08-19 23:34:33,857 epoch 31 - iter 2385/2650 - loss 0.21777516 - samples/sec: 551.72 2019-08-19 23:34:49,619 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:34:49,619 EPOCH 31 done: loss 0.2173 - lr 0.1000 2019-08-19 23:34:49,619 BAD EPOCHS (no improvement): 0 2019-08-19 23:34:49,621 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:34:49,679 epoch 32 - iter 0/2650 - loss 0.33263162 - samples/sec: 155885.86 2019-08-19 23:35:05,297 epoch 32 - iter 265/2650 - loss 0.21510753 - samples/sec: 552.14 2019-08-19 23:35:20,704 epoch 32 - iter 530/2650 - loss 0.21264153 - samples/sec: 557.19 2019-08-19 23:35:36,351 epoch 32 - iter 795/2650 - loss 0.21428363 - samples/sec: 552.74 2019-08-19 23:35:52,060 epoch 32 - iter 1060/2650 - loss 0.21510281 - samples/sec: 550.01 2019-08-19 23:36:07,796 epoch 32 - iter 1325/2650 - loss 0.21499013 - samples/sec: 546.64 2019-08-19 23:36:23,488 epoch 32 - iter 1590/2650 - loss 0.21469857 - samples/sec: 547.89 2019-08-19 23:36:39,333 epoch 32 - iter 1855/2650 - loss 0.21487844 - samples/sec: 542.88 2019-08-19 23:36:55,193 epoch 32 - iter 2120/2650 - loss 0.21472236 - samples/sec: 542.45 2019-08-19 23:37:10,960 epoch 32 - iter 2385/2650 - loss 0.21469535 - samples/sec: 543.15 2019-08-19 23:37:26,798 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:37:26,799 EPOCH 32 done: loss 0.2145 - lr 0.1000 2019-08-19 23:37:26,799 BAD EPOCHS (no improvement): 0 2019-08-19 23:37:26,800 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:37:26,868 epoch 33 - iter 0/2650 - loss 0.16787463 - samples/sec: 136436.76 2019-08-19 23:37:42,264 epoch 33 - iter 265/2650 - loss 0.20941108 - samples/sec: 557.02 2019-08-19 23:37:57,958 epoch 33 - iter 530/2650 - loss 0.21320815 - samples/sec: 548.96 2019-08-19 23:38:13,827 epoch 33 - iter 795/2650 - loss 0.21294681 - samples/sec: 547.17 2019-08-19 23:38:29,442 epoch 33 - iter 1060/2650 - loss 0.21212244 - samples/sec: 551.07 2019-08-19 23:38:45,337 epoch 33 - iter 1325/2650 - loss 0.21122514 - samples/sec: 542.99 2019-08-19 23:39:03,865 epoch 33 - iter 1590/2650 - loss 0.21242551 - samples/sec: 547.32 2019-08-19 23:39:19,558 epoch 33 - iter 1855/2650 - loss 0.21218765 - samples/sec: 544.69 2019-08-19 23:39:35,326 epoch 33 - iter 2120/2650 - loss 0.21148963 - samples/sec: 543.42 2019-08-19 23:39:51,362 epoch 33 - iter 2385/2650 - loss 0.21198712 - samples/sec: 537.27 2019-08-19 23:40:07,026 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:40:07,026 EPOCH 33 done: loss 0.2118 - lr 0.1000 2019-08-19 23:40:07,026 BAD EPOCHS (no improvement): 0 2019-08-19 23:40:07,027 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:40:07,084 epoch 34 - iter 0/2650 - loss 0.35110649 - samples/sec: 165455.01 2019-08-19 23:40:22,508 epoch 34 - iter 265/2650 - loss 0.20202972 - samples/sec: 557.90 2019-08-19 23:40:38,257 epoch 34 - iter 530/2650 - loss 0.20441395 - samples/sec: 546.21 2019-08-19 23:40:53,994 epoch 34 - iter 795/2650 - loss 0.20552068 - samples/sec: 545.70 2019-08-19 23:41:09,947 epoch 34 - iter 1060/2650 - loss 0.20537495 - samples/sec: 540.02 2019-08-19 23:41:25,863 epoch 34 - iter 1325/2650 - loss 0.20622048 - samples/sec: 541.15 2019-08-19 23:41:41,441 epoch 34 - iter 1590/2650 - loss 0.20694618 - samples/sec: 551.10 2019-08-19 23:41:57,056 epoch 34 - iter 1855/2650 - loss 0.20773251 - samples/sec: 552.50 2019-08-19 23:42:12,672 epoch 34 - iter 2120/2650 - loss 0.20919587 - samples/sec: 549.53 2019-08-19 23:42:28,516 epoch 34 - iter 2385/2650 - loss 0.20927029 - samples/sec: 543.49 2019-08-19 23:42:44,342 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:42:44,354 EPOCH 34 done: loss 0.2096 - lr 0.1000 2019-08-19 23:42:44,354 BAD EPOCHS (no improvement): 0 2019-08-19 23:42:44,355 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:42:44,444 epoch 35 - iter 0/2650 - loss 0.20653157 - samples/sec: 100752.93 2019-08-19 23:42:59,990 epoch 35 - iter 265/2650 - loss 0.20655111 - samples/sec: 553.50 2019-08-19 23:43:15,434 epoch 35 - iter 530/2650 - loss 0.20700099 - samples/sec: 555.14 2019-08-19 23:43:31,198 epoch 35 - iter 795/2650 - loss 0.20706704 - samples/sec: 545.82 2019-08-19 23:43:47,059 epoch 35 - iter 1060/2650 - loss 0.20596267 - samples/sec: 539.82 2019-08-19 23:44:02,745 epoch 35 - iter 1325/2650 - loss 0.20410404 - samples/sec: 548.64 2019-08-19 23:44:18,358 epoch 35 - iter 1590/2650 - loss 0.20374661 - samples/sec: 547.43 2019-08-19 23:44:33,858 epoch 35 - iter 1855/2650 - loss 0.20435928 - samples/sec: 551.46 2019-08-19 23:44:49,492 epoch 35 - iter 2120/2650 - loss 0.20382092 - samples/sec: 546.67 2019-08-19 23:45:05,123 epoch 35 - iter 2385/2650 - loss 0.20400133 - samples/sec: 546.68 2019-08-19 23:45:20,662 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:45:20,663 EPOCH 35 done: loss 0.2041 - lr 0.1000 2019-08-19 23:45:20,663 BAD EPOCHS (no improvement): 0 2019-08-19 23:45:20,664 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:45:20,723 epoch 36 - iter 0/2650 - loss 0.49937969 - samples/sec: 158398.27 2019-08-19 23:45:36,266 epoch 36 - iter 265/2650 - loss 0.20720920 - samples/sec: 550.01 2019-08-19 23:45:51,978 epoch 36 - iter 530/2650 - loss 0.20657344 - samples/sec: 544.05 2019-08-19 23:46:07,390 epoch 36 - iter 795/2650 - loss 0.20587755 - samples/sec: 554.58 2019-08-19 23:46:23,211 epoch 36 - iter 1060/2650 - loss 0.20443431 - samples/sec: 539.96 2019-08-19 23:46:38,897 epoch 36 - iter 1325/2650 - loss 0.20400690 - samples/sec: 544.68 2019-08-19 23:46:54,412 epoch 36 - iter 1590/2650 - loss 0.20293882 - samples/sec: 551.06 2019-08-19 23:47:10,114 epoch 36 - iter 1855/2650 - loss 0.20276132 - samples/sec: 544.35 2019-08-19 23:47:25,610 epoch 36 - iter 2120/2650 - loss 0.20258175 - samples/sec: 551.46 2019-08-19 23:47:41,179 epoch 36 - iter 2385/2650 - loss 0.20314885 - samples/sec: 548.89 2019-08-19 23:47:56,673 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:47:56,673 EPOCH 36 done: loss 0.2027 - lr 0.1000 2019-08-19 23:47:56,674 BAD EPOCHS (no improvement): 0 2019-08-19 23:47:56,674 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:47:56,741 epoch 37 - iter 0/2650 - loss 0.12280576 - samples/sec: 142819.79 2019-08-19 23:48:12,291 epoch 37 - iter 265/2650 - loss 0.20127852 - samples/sec: 549.70 2019-08-19 23:48:27,720 epoch 37 - iter 530/2650 - loss 0.20055160 - samples/sec: 554.03 2019-08-19 23:48:43,353 epoch 37 - iter 795/2650 - loss 0.20041645 - samples/sec: 546.60 2019-08-19 23:48:59,130 epoch 37 - iter 1060/2650 - loss 0.20205601 - samples/sec: 541.58 2019-08-19 23:49:14,996 epoch 37 - iter 1325/2650 - loss 0.20155492 - samples/sec: 538.47 2019-08-19 23:49:30,545 epoch 37 - iter 1590/2650 - loss 0.20241153 - samples/sec: 549.75 2019-08-19 23:49:46,200 epoch 37 - iter 1855/2650 - loss 0.20172859 - samples/sec: 545.95 2019-08-19 23:50:01,701 epoch 37 - iter 2120/2650 - loss 0.20202693 - samples/sec: 551.41 2019-08-19 23:50:17,575 epoch 37 - iter 2385/2650 - loss 0.20199569 - samples/sec: 538.26 2019-08-19 23:50:33,098 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:50:33,098 EPOCH 37 done: loss 0.2013 - lr 0.1000 2019-08-19 23:50:33,098 BAD EPOCHS (no improvement): 0 2019-08-19 23:50:33,099 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:50:33,155 epoch 38 - iter 0/2650 - loss 0.16063198 - samples/sec: 161429.21 2019-08-19 23:50:47,609 epoch 38 - iter 265/2650 - loss 0.19651906 - samples/sec: 591.16 2019-08-19 23:51:02,060 epoch 38 - iter 530/2650 - loss 0.19794597 - samples/sec: 591.20 2019-08-19 23:51:16,571 epoch 38 - iter 795/2650 - loss 0.19868490 - samples/sec: 588.87 2019-08-19 23:51:31,997 epoch 38 - iter 1060/2650 - loss 0.19746446 - samples/sec: 554.05 2019-08-19 23:51:47,566 epoch 38 - iter 1325/2650 - loss 0.19699823 - samples/sec: 548.77 2019-08-19 23:52:03,101 epoch 38 - iter 1590/2650 - loss 0.19768063 - samples/sec: 550.25 2019-08-19 23:52:18,727 epoch 38 - iter 1855/2650 - loss 0.19837417 - samples/sec: 546.94 2019-08-19 23:52:34,275 epoch 38 - iter 2120/2650 - loss 0.19827845 - samples/sec: 549.85 2019-08-19 23:52:49,917 epoch 38 - iter 2385/2650 - loss 0.19795650 - samples/sec: 546.29 2019-08-19 23:53:05,717 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:53:05,718 EPOCH 38 done: loss 0.1983 - lr 0.1000 2019-08-19 23:53:05,718 BAD EPOCHS (no improvement): 0 2019-08-19 23:53:05,719 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:53:05,778 epoch 39 - iter 0/2650 - loss 0.24760196 - samples/sec: 159995.76 2019-08-19 23:53:21,318 epoch 39 - iter 265/2650 - loss 0.19286030 - samples/sec: 550.07 2019-08-19 23:53:36,858 epoch 39 - iter 530/2650 - loss 0.19837060 - samples/sec: 550.14 2019-08-19 23:53:52,551 epoch 39 - iter 795/2650 - loss 0.19992106 - samples/sec: 544.49 2019-08-19 23:54:08,399 epoch 39 - iter 1060/2650 - loss 0.20048287 - samples/sec: 539.11 2019-08-19 23:54:23,995 epoch 39 - iter 1325/2650 - loss 0.19948974 - samples/sec: 547.88 2019-08-19 23:54:39,573 epoch 39 - iter 1590/2650 - loss 0.19806667 - samples/sec: 549.07 2019-08-19 23:54:55,160 epoch 39 - iter 1855/2650 - loss 0.19792523 - samples/sec: 548.44 2019-08-19 23:55:10,909 epoch 39 - iter 2120/2650 - loss 0.19919935 - samples/sec: 542.63 2019-08-19 23:55:26,583 epoch 39 - iter 2385/2650 - loss 0.19843704 - samples/sec: 545.12 2019-08-19 23:55:41,991 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:55:41,991 EPOCH 39 done: loss 0.1984 - lr 0.1000 2019-08-19 23:55:41,991 BAD EPOCHS (no improvement): 1 2019-08-19 23:55:41,992 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:55:42,055 epoch 40 - iter 0/2650 - loss 0.14787883 - samples/sec: 144028.52 2019-08-19 23:55:57,650 epoch 40 - iter 265/2650 - loss 0.19220925 - samples/sec: 548.13 2019-08-19 23:56:13,188 epoch 40 - iter 530/2650 - loss 0.19150406 - samples/sec: 550.10 2019-08-19 23:56:28,576 epoch 40 - iter 795/2650 - loss 0.19432227 - samples/sec: 555.54 2019-08-19 23:56:43,359 epoch 40 - iter 1060/2650 - loss 0.19353466 - samples/sec: 577.88 2019-08-19 23:56:59,354 epoch 40 - iter 1325/2650 - loss 0.19364972 - samples/sec: 534.09 2019-08-19 23:57:14,905 epoch 40 - iter 1590/2650 - loss 0.19391282 - samples/sec: 549.71 2019-08-19 23:57:30,623 epoch 40 - iter 1855/2650 - loss 0.19412825 - samples/sec: 543.78 2019-08-19 23:57:46,015 epoch 40 - iter 2120/2650 - loss 0.19435192 - samples/sec: 555.35 2019-08-19 23:58:01,671 epoch 40 - iter 2385/2650 - loss 0.19445802 - samples/sec: 545.84 2019-08-19 23:58:17,302 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:58:17,302 EPOCH 40 done: loss 0.1950 - lr 0.1000 2019-08-19 23:58:17,302 BAD EPOCHS (no improvement): 0 2019-08-19 23:58:17,303 ---------------------------------------------------------------------------------------------------- 2019-08-19 23:58:17,365 epoch 41 - iter 0/2650 - loss 0.23086514 - samples/sec: 145709.54 2019-08-19 23:58:33,000 epoch 41 - iter 265/2650 - loss 0.19661124 - samples/sec: 546.66 2019-08-19 23:58:47,440 epoch 41 - iter 530/2650 - loss 0.19493437 - samples/sec: 591.83 2019-08-19 23:59:02,905 epoch 41 - iter 795/2650 - loss 0.19531445 - samples/sec: 552.71 2019-08-19 23:59:18,530 epoch 41 - iter 1060/2650 - loss 0.19470108 - samples/sec: 546.92 2019-08-19 23:59:34,335 epoch 41 - iter 1325/2650 - loss 0.19330854 - samples/sec: 540.53 2019-08-19 23:59:49,778 epoch 41 - iter 1590/2650 - loss 0.19372585 - samples/sec: 553.50 2019-08-20 00:00:05,333 epoch 41 - iter 1855/2650 - loss 0.19294975 - samples/sec: 549.82 2019-08-20 00:00:21,021 epoch 41 - iter 2120/2650 - loss 0.19298053 - samples/sec: 544.72 2019-08-20 00:00:36,895 epoch 41 - iter 2385/2650 - loss 0.19235461 - samples/sec: 538.26 2019-08-20 00:00:52,347 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:00:52,347 EPOCH 41 done: loss 0.1921 - lr 0.1000 2019-08-20 00:00:52,348 BAD EPOCHS (no improvement): 0 2019-08-20 00:00:52,349 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:00:52,402 epoch 42 - iter 0/2650 - loss 0.10013852 - samples/sec: 177351.66 2019-08-20 00:01:08,125 epoch 42 - iter 265/2650 - loss 0.18573013 - samples/sec: 543.64 2019-08-20 00:01:23,777 epoch 42 - iter 530/2650 - loss 0.18781238 - samples/sec: 546.06 2019-08-20 00:01:39,175 epoch 42 - iter 795/2650 - loss 0.18808984 - samples/sec: 555.09 2019-08-20 00:01:54,664 epoch 42 - iter 1060/2650 - loss 0.18881902 - samples/sec: 551.75 2019-08-20 00:02:10,571 epoch 42 - iter 1325/2650 - loss 0.18996250 - samples/sec: 537.01 2019-08-20 00:02:26,347 epoch 42 - iter 1590/2650 - loss 0.18923649 - samples/sec: 541.75 2019-08-20 00:02:42,066 epoch 42 - iter 1855/2650 - loss 0.18993912 - samples/sec: 543.78 2019-08-20 00:02:57,682 epoch 42 - iter 2120/2650 - loss 0.19044208 - samples/sec: 547.34 2019-08-20 00:03:13,082 epoch 42 - iter 2385/2650 - loss 0.19030543 - samples/sec: 554.95 2019-08-20 00:03:28,722 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:03:28,723 EPOCH 42 done: loss 0.1908 - lr 0.1000 2019-08-20 00:03:28,723 BAD EPOCHS (no improvement): 0 2019-08-20 00:03:28,724 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:03:28,779 epoch 43 - iter 0/2650 - loss 0.15492092 - samples/sec: 171519.70 2019-08-20 00:03:44,442 epoch 43 - iter 265/2650 - loss 0.18742334 - samples/sec: 545.80 2019-08-20 00:04:00,312 epoch 43 - iter 530/2650 - loss 0.18900585 - samples/sec: 538.59 2019-08-20 00:04:15,759 epoch 43 - iter 795/2650 - loss 0.18914298 - samples/sec: 553.30 2019-08-20 00:04:31,386 epoch 43 - iter 1060/2650 - loss 0.18905504 - samples/sec: 546.83 2019-08-20 00:04:47,052 epoch 43 - iter 1325/2650 - loss 0.18869046 - samples/sec: 545.48 2019-08-20 00:05:02,536 epoch 43 - iter 1590/2650 - loss 0.18996170 - samples/sec: 551.97 2019-08-20 00:05:18,104 epoch 43 - iter 1855/2650 - loss 0.18930023 - samples/sec: 549.10 2019-08-20 00:05:33,566 epoch 43 - iter 2120/2650 - loss 0.18971582 - samples/sec: 552.78 2019-08-20 00:05:49,327 epoch 43 - iter 2385/2650 - loss 0.18935833 - samples/sec: 542.26 2019-08-20 00:06:04,948 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:06:04,949 EPOCH 43 done: loss 0.1892 - lr 0.1000 2019-08-20 00:06:04,949 BAD EPOCHS (no improvement): 0 2019-08-20 00:06:04,949 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:06:05,010 epoch 44 - iter 0/2650 - loss 0.16975994 - samples/sec: 156027.42 2019-08-20 00:06:20,700 epoch 44 - iter 265/2650 - loss 0.18727340 - samples/sec: 544.59 2019-08-20 00:06:36,464 epoch 44 - iter 530/2650 - loss 0.18395524 - samples/sec: 542.22 2019-08-20 00:06:51,924 epoch 44 - iter 795/2650 - loss 0.18692889 - samples/sec: 552.89 2019-08-20 00:07:07,552 epoch 44 - iter 1060/2650 - loss 0.18595139 - samples/sec: 546.93 2019-08-20 00:07:23,110 epoch 44 - iter 1325/2650 - loss 0.18540281 - samples/sec: 549.27 2019-08-20 00:07:38,987 epoch 44 - iter 1590/2650 - loss 0.18554785 - samples/sec: 538.16 2019-08-20 00:07:54,590 epoch 44 - iter 1855/2650 - loss 0.18586202 - samples/sec: 547.88 2019-08-20 00:08:10,066 epoch 44 - iter 2120/2650 - loss 0.18679668 - samples/sec: 552.32 2019-08-20 00:08:25,657 epoch 44 - iter 2385/2650 - loss 0.18663593 - samples/sec: 548.19 2019-08-20 00:08:41,191 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:08:41,191 EPOCH 44 done: loss 0.1869 - lr 0.1000 2019-08-20 00:08:41,191 BAD EPOCHS (no improvement): 0 2019-08-20 00:08:41,192 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:08:41,253 epoch 45 - iter 0/2650 - loss 0.10272710 - samples/sec: 150179.23 2019-08-20 00:08:56,995 epoch 45 - iter 265/2650 - loss 0.18951790 - samples/sec: 542.75 2019-08-20 00:09:12,513 epoch 45 - iter 530/2650 - loss 0.19105754 - samples/sec: 550.81 2019-08-20 00:09:28,227 epoch 45 - iter 795/2650 - loss 0.19145854 - samples/sec: 543.83 2019-08-20 00:09:43,734 epoch 45 - iter 1060/2650 - loss 0.18741153 - samples/sec: 551.14 2019-08-20 00:09:59,518 epoch 45 - iter 1325/2650 - loss 0.18696050 - samples/sec: 541.38 2019-08-20 00:10:15,279 epoch 45 - iter 1590/2650 - loss 0.18732248 - samples/sec: 542.11 2019-08-20 00:10:30,860 epoch 45 - iter 1855/2650 - loss 0.18685083 - samples/sec: 548.59 2019-08-20 00:10:46,492 epoch 45 - iter 2120/2650 - loss 0.18688114 - samples/sec: 546.83 2019-08-20 00:11:02,094 epoch 45 - iter 2385/2650 - loss 0.18612070 - samples/sec: 547.72 2019-08-20 00:11:17,548 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:11:17,549 EPOCH 45 done: loss 0.1862 - lr 0.1000 2019-08-20 00:11:17,549 BAD EPOCHS (no improvement): 0 2019-08-20 00:11:17,550 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:11:17,613 epoch 46 - iter 0/2650 - loss 0.16157024 - samples/sec: 147989.09 2019-08-20 00:11:33,263 epoch 46 - iter 265/2650 - loss 0.19075566 - samples/sec: 545.97 2019-08-20 00:11:48,554 epoch 46 - iter 530/2650 - loss 0.18653810 - samples/sec: 559.22 2019-08-20 00:12:03,870 epoch 46 - iter 795/2650 - loss 0.18674590 - samples/sec: 558.16 2019-08-20 00:12:19,658 epoch 46 - iter 1060/2650 - loss 0.18595535 - samples/sec: 541.16 2019-08-20 00:12:35,359 epoch 46 - iter 1325/2650 - loss 0.18508470 - samples/sec: 544.20 2019-08-20 00:12:51,211 epoch 46 - iter 1590/2650 - loss 0.18567912 - samples/sec: 538.89 2019-08-20 00:13:07,073 epoch 46 - iter 1855/2650 - loss 0.18642753 - samples/sec: 538.84 2019-08-20 00:13:22,616 epoch 46 - iter 2120/2650 - loss 0.18663571 - samples/sec: 549.92 2019-08-20 00:13:38,115 epoch 46 - iter 2385/2650 - loss 0.18622236 - samples/sec: 551.41 2019-08-20 00:13:53,737 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:13:53,737 EPOCH 46 done: loss 0.1860 - lr 0.1000 2019-08-20 00:13:53,737 BAD EPOCHS (no improvement): 0 2019-08-20 00:13:53,738 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:13:53,795 epoch 47 - iter 0/2650 - loss 0.24551518 - samples/sec: 163687.69 2019-08-20 00:14:09,460 epoch 47 - iter 265/2650 - loss 0.18550519 - samples/sec: 545.38 2019-08-20 00:14:24,835 epoch 47 - iter 530/2650 - loss 0.18517429 - samples/sec: 556.05 2019-08-20 00:14:40,467 epoch 47 - iter 795/2650 - loss 0.18518436 - samples/sec: 546.71 2019-08-20 00:14:55,933 epoch 47 - iter 1060/2650 - loss 0.18504280 - samples/sec: 552.67 2019-08-20 00:15:11,625 epoch 47 - iter 1325/2650 - loss 0.18429551 - samples/sec: 544.99 2019-08-20 00:15:26,229 epoch 47 - iter 1590/2650 - loss 0.18334557 - samples/sec: 584.88 2019-08-20 00:15:40,905 epoch 47 - iter 1855/2650 - loss 0.18338995 - samples/sec: 582.06 2019-08-20 00:15:55,290 epoch 47 - iter 2120/2650 - loss 0.18335034 - samples/sec: 593.93 2019-08-20 00:16:09,686 epoch 47 - iter 2385/2650 - loss 0.18312884 - samples/sec: 593.42 2019-08-20 00:16:24,077 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:16:24,077 EPOCH 47 done: loss 0.1823 - lr 0.1000 2019-08-20 00:16:24,077 BAD EPOCHS (no improvement): 0 2019-08-20 00:16:24,078 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:16:24,130 epoch 48 - iter 0/2650 - loss 0.20818339 - samples/sec: 171834.59 2019-08-20 00:16:38,578 epoch 48 - iter 265/2650 - loss 0.18674498 - samples/sec: 591.16 2019-08-20 00:16:52,923 epoch 48 - iter 530/2650 - loss 0.18486447 - samples/sec: 595.68 2019-08-20 00:17:07,732 epoch 48 - iter 795/2650 - loss 0.18256051 - samples/sec: 576.89 2019-08-20 00:17:23,570 epoch 48 - iter 1060/2650 - loss 0.18074785 - samples/sec: 539.51 2019-08-20 00:17:39,229 epoch 48 - iter 1325/2650 - loss 0.18093633 - samples/sec: 545.73 2019-08-20 00:17:54,745 epoch 48 - iter 1590/2650 - loss 0.18139948 - samples/sec: 550.79 2019-08-20 00:18:10,274 epoch 48 - iter 1855/2650 - loss 0.18106720 - samples/sec: 550.54 2019-08-20 00:18:25,737 epoch 48 - iter 2120/2650 - loss 0.18087845 - samples/sec: 552.84 2019-08-20 00:18:41,484 epoch 48 - iter 2385/2650 - loss 0.18117624 - samples/sec: 542.74 2019-08-20 00:18:57,077 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:18:57,078 EPOCH 48 done: loss 0.1807 - lr 0.1000 2019-08-20 00:18:57,078 BAD EPOCHS (no improvement): 0 2019-08-20 00:18:57,079 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:18:57,134 epoch 49 - iter 0/2650 - loss 0.17064032 - samples/sec: 173859.71 2019-08-20 00:19:12,833 epoch 49 - iter 265/2650 - loss 0.18082704 - samples/sec: 544.53 2019-08-20 00:19:28,436 epoch 49 - iter 530/2650 - loss 0.18068858 - samples/sec: 547.86 2019-08-20 00:19:43,839 epoch 49 - iter 795/2650 - loss 0.18148276 - samples/sec: 554.96 2019-08-20 00:19:59,537 epoch 49 - iter 1060/2650 - loss 0.18000424 - samples/sec: 544.38 2019-08-20 00:20:15,325 epoch 49 - iter 1325/2650 - loss 0.18037715 - samples/sec: 541.13 2019-08-20 00:20:31,280 epoch 49 - iter 1590/2650 - loss 0.18061975 - samples/sec: 535.47 2019-08-20 00:20:46,859 epoch 49 - iter 1855/2650 - loss 0.17985931 - samples/sec: 548.75 2019-08-20 00:21:02,366 epoch 49 - iter 2120/2650 - loss 0.18034141 - samples/sec: 551.15 2019-08-20 00:21:18,026 epoch 49 - iter 2385/2650 - loss 0.18014014 - samples/sec: 545.70 2019-08-20 00:21:33,481 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:21:33,481 EPOCH 49 done: loss 0.1805 - lr 0.1000 2019-08-20 00:21:33,481 BAD EPOCHS (no improvement): 0 2019-08-20 00:21:33,482 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:21:33,536 epoch 50 - iter 0/2650 - loss 0.12022720 - samples/sec: 175716.71 2019-08-20 00:21:49,187 epoch 50 - iter 265/2650 - loss 0.17929744 - samples/sec: 545.87 2019-08-20 00:22:04,605 epoch 50 - iter 530/2650 - loss 0.17976369 - samples/sec: 554.48 2019-08-20 00:22:20,331 epoch 50 - iter 795/2650 - loss 0.18068269 - samples/sec: 543.49 2019-08-20 00:22:35,679 epoch 50 - iter 1060/2650 - loss 0.18185405 - samples/sec: 556.90 2019-08-20 00:22:51,476 epoch 50 - iter 1325/2650 - loss 0.18158468 - samples/sec: 540.84 2019-08-20 00:23:07,015 epoch 50 - iter 1590/2650 - loss 0.18120589 - samples/sec: 549.89 2019-08-20 00:23:22,651 epoch 50 - iter 1855/2650 - loss 0.18092781 - samples/sec: 546.81 2019-08-20 00:23:38,259 epoch 50 - iter 2120/2650 - loss 0.18080500 - samples/sec: 547.60 2019-08-20 00:23:53,927 epoch 50 - iter 2385/2650 - loss 0.17997464 - samples/sec: 545.54 2019-08-20 00:24:09,559 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:24:09,560 EPOCH 50 done: loss 0.1793 - lr 0.1000 2019-08-20 00:24:09,560 BAD EPOCHS (no improvement): 0 2019-08-20 00:24:09,561 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:24:09,616 epoch 51 - iter 0/2650 - loss 0.18118468 - samples/sec: 169179.86 2019-08-20 00:24:25,143 epoch 51 - iter 265/2650 - loss 0.18001101 - samples/sec: 550.29 2019-08-20 00:24:40,929 epoch 51 - iter 530/2650 - loss 0.17948648 - samples/sec: 541.43 2019-08-20 00:24:54,994 epoch 51 - iter 795/2650 - loss 0.17783865 - samples/sec: 607.57 2019-08-20 00:25:09,431 epoch 51 - iter 1060/2650 - loss 0.17678009 - samples/sec: 591.65 2019-08-20 00:25:25,220 epoch 51 - iter 1325/2650 - loss 0.17619883 - samples/sec: 541.23 2019-08-20 00:25:40,906 epoch 51 - iter 1590/2650 - loss 0.17641101 - samples/sec: 544.65 2019-08-20 00:25:56,455 epoch 51 - iter 1855/2650 - loss 0.17744221 - samples/sec: 549.82 2019-08-20 00:26:12,353 epoch 51 - iter 2120/2650 - loss 0.17727450 - samples/sec: 537.56 2019-08-20 00:26:27,843 epoch 51 - iter 2385/2650 - loss 0.17690437 - samples/sec: 551.78 2019-08-20 00:26:43,336 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:26:43,336 EPOCH 51 done: loss 0.1775 - lr 0.1000 2019-08-20 00:26:43,337 BAD EPOCHS (no improvement): 0 2019-08-20 00:26:43,337 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:26:43,397 epoch 52 - iter 0/2650 - loss 0.16438434 - samples/sec: 153430.07 2019-08-20 00:26:58,798 epoch 52 - iter 265/2650 - loss 0.18147174 - samples/sec: 554.82 2019-08-20 00:27:14,742 epoch 52 - iter 530/2650 - loss 0.17801281 - samples/sec: 536.15 2019-08-20 00:27:30,261 epoch 52 - iter 795/2650 - loss 0.17914631 - samples/sec: 550.78 2019-08-20 00:27:45,740 epoch 52 - iter 1060/2650 - loss 0.17834845 - samples/sec: 552.14 2019-08-20 00:28:01,299 epoch 52 - iter 1325/2650 - loss 0.17784619 - samples/sec: 549.21 2019-08-20 00:28:17,221 epoch 52 - iter 1590/2650 - loss 0.17884573 - samples/sec: 536.57 2019-08-20 00:28:32,972 epoch 52 - iter 1855/2650 - loss 0.17746894 - samples/sec: 542.63 2019-08-20 00:28:48,311 epoch 52 - iter 2120/2650 - loss 0.17664190 - samples/sec: 557.32 2019-08-20 00:29:03,719 epoch 52 - iter 2385/2650 - loss 0.17585326 - samples/sec: 554.86 2019-08-20 00:29:19,140 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:29:19,141 EPOCH 52 done: loss 0.1752 - lr 0.1000 2019-08-20 00:29:19,141 BAD EPOCHS (no improvement): 0 2019-08-20 00:29:19,141 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:29:19,199 epoch 53 - iter 0/2650 - loss 0.14526375 - samples/sec: 159563.66 2019-08-20 00:29:34,737 epoch 53 - iter 265/2650 - loss 0.17747556 - samples/sec: 549.87 2019-08-20 00:29:50,362 epoch 53 - iter 530/2650 - loss 0.17713675 - samples/sec: 546.95 2019-08-20 00:30:06,021 epoch 53 - iter 795/2650 - loss 0.17858360 - samples/sec: 545.87 2019-08-20 00:30:21,560 epoch 53 - iter 1060/2650 - loss 0.17648463 - samples/sec: 549.93 2019-08-20 00:30:37,085 epoch 53 - iter 1325/2650 - loss 0.17694560 - samples/sec: 550.44 2019-08-20 00:30:52,622 epoch 53 - iter 1590/2650 - loss 0.17717760 - samples/sec: 550.02 2019-08-20 00:31:07,997 epoch 53 - iter 1855/2650 - loss 0.17646329 - samples/sec: 555.93 2019-08-20 00:31:23,717 epoch 53 - iter 2120/2650 - loss 0.17630070 - samples/sec: 543.73 2019-08-20 00:31:39,523 epoch 53 - iter 2385/2650 - loss 0.17618083 - samples/sec: 540.67 2019-08-20 00:31:55,154 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:31:55,155 EPOCH 53 done: loss 0.1759 - lr 0.1000 2019-08-20 00:31:55,155 BAD EPOCHS (no improvement): 1 2019-08-20 00:31:55,155 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:31:55,210 epoch 54 - iter 0/2650 - loss 0.16237158 - samples/sec: 170054.26 2019-08-20 00:32:10,912 epoch 54 - iter 265/2650 - loss 0.17215948 - samples/sec: 544.06 2019-08-20 00:32:26,530 epoch 54 - iter 530/2650 - loss 0.17308067 - samples/sec: 547.45 2019-08-20 00:32:42,101 epoch 54 - iter 795/2650 - loss 0.17137985 - samples/sec: 548.88 2019-08-20 00:32:57,604 epoch 54 - iter 1060/2650 - loss 0.17096500 - samples/sec: 551.26 2019-08-20 00:33:13,116 epoch 54 - iter 1325/2650 - loss 0.17142410 - samples/sec: 550.91 2019-08-20 00:33:28,918 epoch 54 - iter 1590/2650 - loss 0.17243561 - samples/sec: 540.66 2019-08-20 00:33:44,632 epoch 54 - iter 1855/2650 - loss 0.17146680 - samples/sec: 543.84 2019-08-20 00:34:00,221 epoch 54 - iter 2120/2650 - loss 0.17193210 - samples/sec: 548.33 2019-08-20 00:34:16,012 epoch 54 - iter 2385/2650 - loss 0.17217037 - samples/sec: 541.15 2019-08-20 00:34:31,725 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:34:31,726 EPOCH 54 done: loss 0.1726 - lr 0.1000 2019-08-20 00:34:31,726 BAD EPOCHS (no improvement): 0 2019-08-20 00:34:31,726 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:34:31,784 epoch 55 - iter 0/2650 - loss 0.19842897 - samples/sec: 160805.20 2019-08-20 00:34:47,442 epoch 55 - iter 265/2650 - loss 0.17509412 - samples/sec: 545.61 2019-08-20 00:35:03,111 epoch 55 - iter 530/2650 - loss 0.17311767 - samples/sec: 545.47 2019-08-20 00:35:18,708 epoch 55 - iter 795/2650 - loss 0.17410467 - samples/sec: 548.08 2019-08-20 00:35:34,336 epoch 55 - iter 1060/2650 - loss 0.17370049 - samples/sec: 546.84 2019-08-20 00:35:48,612 epoch 55 - iter 1325/2650 - loss 0.17336950 - samples/sec: 598.45 2019-08-20 00:36:03,275 epoch 55 - iter 1590/2650 - loss 0.17393896 - samples/sec: 582.40 2019-08-20 00:36:17,567 epoch 55 - iter 1855/2650 - loss 0.17262960 - samples/sec: 597.86 2019-08-20 00:36:31,976 epoch 55 - iter 2120/2650 - loss 0.17213970 - samples/sec: 592.88 2019-08-20 00:36:47,651 epoch 55 - iter 2385/2650 - loss 0.17235774 - samples/sec: 545.20 2019-08-20 00:37:03,146 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:37:03,146 EPOCH 55 done: loss 0.1720 - lr 0.1000 2019-08-20 00:37:03,147 BAD EPOCHS (no improvement): 0 2019-08-20 00:37:03,147 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:37:03,198 epoch 56 - iter 0/2650 - loss 0.16385296 - samples/sec: 186580.73 2019-08-20 00:37:17,687 epoch 56 - iter 265/2650 - loss 0.17444487 - samples/sec: 589.63 2019-08-20 00:37:32,039 epoch 56 - iter 530/2650 - loss 0.17174113 - samples/sec: 595.32 2019-08-20 00:37:46,361 epoch 56 - iter 795/2650 - loss 0.17294190 - samples/sec: 596.57 2019-08-20 00:38:00,668 epoch 56 - iter 1060/2650 - loss 0.17312463 - samples/sec: 597.09 2019-08-20 00:38:16,306 epoch 56 - iter 1325/2650 - loss 0.17303782 - samples/sec: 546.77 2019-08-20 00:38:31,936 epoch 56 - iter 1590/2650 - loss 0.17225536 - samples/sec: 546.78 2019-08-20 00:38:47,566 epoch 56 - iter 1855/2650 - loss 0.17214963 - samples/sec: 547.01 2019-08-20 00:39:03,224 epoch 56 - iter 2120/2650 - loss 0.17153237 - samples/sec: 545.90 2019-08-20 00:39:19,204 epoch 56 - iter 2385/2650 - loss 0.17127074 - samples/sec: 534.74 2019-08-20 00:39:34,757 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:39:34,757 EPOCH 56 done: loss 0.1711 - lr 0.1000 2019-08-20 00:39:34,757 BAD EPOCHS (no improvement): 0 2019-08-20 00:39:34,758 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:39:34,809 epoch 57 - iter 0/2650 - loss 0.19273978 - samples/sec: 182420.90 2019-08-20 00:39:50,275 epoch 57 - iter 265/2650 - loss 0.16836555 - samples/sec: 552.31 2019-08-20 00:40:05,808 epoch 57 - iter 530/2650 - loss 0.16970871 - samples/sec: 550.24 2019-08-20 00:40:21,409 epoch 57 - iter 795/2650 - loss 0.16844341 - samples/sec: 547.79 2019-08-20 00:40:37,302 epoch 57 - iter 1060/2650 - loss 0.16867528 - samples/sec: 537.66 2019-08-20 00:40:52,960 epoch 57 - iter 1325/2650 - loss 0.16823485 - samples/sec: 545.57 2019-08-20 00:41:08,718 epoch 57 - iter 1590/2650 - loss 0.16968210 - samples/sec: 542.09 2019-08-20 00:41:24,414 epoch 57 - iter 1855/2650 - loss 0.16934053 - samples/sec: 544.45 2019-08-20 00:41:39,907 epoch 57 - iter 2120/2650 - loss 0.16870016 - samples/sec: 551.71 2019-08-20 00:41:55,628 epoch 57 - iter 2385/2650 - loss 0.16804868 - samples/sec: 543.39 2019-08-20 00:42:11,261 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:42:11,261 EPOCH 57 done: loss 0.1678 - lr 0.1000 2019-08-20 00:42:11,261 BAD EPOCHS (no improvement): 0 2019-08-20 00:42:11,262 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:42:11,331 epoch 58 - iter 0/2650 - loss 0.16558382 - samples/sec: 132122.22 2019-08-20 00:42:27,063 epoch 58 - iter 265/2650 - loss 0.16896552 - samples/sec: 543.02 2019-08-20 00:42:42,722 epoch 58 - iter 530/2650 - loss 0.16878129 - samples/sec: 546.18 2019-08-20 00:42:58,321 epoch 58 - iter 795/2650 - loss 0.16731893 - samples/sec: 547.79 2019-08-20 00:43:13,788 epoch 58 - iter 1060/2650 - loss 0.16769354 - samples/sec: 552.49 2019-08-20 00:43:29,685 epoch 58 - iter 1325/2650 - loss 0.16895886 - samples/sec: 537.27 2019-08-20 00:43:45,493 epoch 58 - iter 1590/2650 - loss 0.16767046 - samples/sec: 540.43 2019-08-20 00:44:01,024 epoch 58 - iter 1855/2650 - loss 0.16881694 - samples/sec: 550.29 2019-08-20 00:44:16,734 epoch 58 - iter 2120/2650 - loss 0.16867819 - samples/sec: 543.95 2019-08-20 00:44:32,251 epoch 58 - iter 2385/2650 - loss 0.16846610 - samples/sec: 550.41 2019-08-20 00:44:47,681 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:44:47,682 EPOCH 58 done: loss 0.1686 - lr 0.1000 2019-08-20 00:44:47,682 BAD EPOCHS (no improvement): 1 2019-08-20 00:44:47,683 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:44:47,742 epoch 59 - iter 0/2650 - loss 0.21995698 - samples/sec: 160948.55 2019-08-20 00:45:03,435 epoch 59 - iter 265/2650 - loss 0.16389459 - samples/sec: 544.25 2019-08-20 00:45:18,906 epoch 59 - iter 530/2650 - loss 0.16745237 - samples/sec: 552.43 2019-08-20 00:45:34,506 epoch 59 - iter 795/2650 - loss 0.16513767 - samples/sec: 547.67 2019-08-20 00:45:50,143 epoch 59 - iter 1060/2650 - loss 0.16555205 - samples/sec: 546.21 2019-08-20 00:46:05,906 epoch 59 - iter 1325/2650 - loss 0.16630389 - samples/sec: 542.08 2019-08-20 00:46:21,579 epoch 59 - iter 1590/2650 - loss 0.16595267 - samples/sec: 545.14 2019-08-20 00:46:37,225 epoch 59 - iter 1855/2650 - loss 0.16632060 - samples/sec: 546.25 2019-08-20 00:46:52,797 epoch 59 - iter 2120/2650 - loss 0.16613691 - samples/sec: 548.82 2019-08-20 00:47:08,264 epoch 59 - iter 2385/2650 - loss 0.16563141 - samples/sec: 552.57 2019-08-20 00:47:23,935 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:47:23,936 EPOCH 59 done: loss 0.1663 - lr 0.1000 2019-08-20 00:47:23,936 BAD EPOCHS (no improvement): 0 2019-08-20 00:47:23,937 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:47:23,996 epoch 60 - iter 0/2650 - loss 0.15647285 - samples/sec: 153682.65 2019-08-20 00:47:39,898 epoch 60 - iter 265/2650 - loss 0.16249622 - samples/sec: 537.09 2019-08-20 00:47:55,713 epoch 60 - iter 530/2650 - loss 0.16152983 - samples/sec: 540.39 2019-08-20 00:48:11,486 epoch 60 - iter 795/2650 - loss 0.16461942 - samples/sec: 541.92 2019-08-20 00:48:26,957 epoch 60 - iter 1060/2650 - loss 0.16386237 - samples/sec: 552.46 2019-08-20 00:48:42,430 epoch 60 - iter 1325/2650 - loss 0.16451866 - samples/sec: 554.78 2019-08-20 00:48:58,137 epoch 60 - iter 1590/2650 - loss 0.16413363 - samples/sec: 543.96 2019-08-20 00:49:13,740 epoch 60 - iter 1855/2650 - loss 0.16399683 - samples/sec: 547.74 2019-08-20 00:49:29,342 epoch 60 - iter 2120/2650 - loss 0.16479471 - samples/sec: 548.07 2019-08-20 00:49:45,044 epoch 60 - iter 2385/2650 - loss 0.16590240 - samples/sec: 544.42 2019-08-20 00:50:00,571 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:50:00,571 EPOCH 60 done: loss 0.1660 - lr 0.1000 2019-08-20 00:50:00,572 BAD EPOCHS (no improvement): 0 2019-08-20 00:50:00,572 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:50:00,631 epoch 61 - iter 0/2650 - loss 0.16566333 - samples/sec: 152176.25 2019-08-20 00:50:16,391 epoch 61 - iter 265/2650 - loss 0.15939569 - samples/sec: 542.08 2019-08-20 00:50:32,178 epoch 61 - iter 530/2650 - loss 0.16096455 - samples/sec: 541.25 2019-08-20 00:50:47,747 epoch 61 - iter 795/2650 - loss 0.16193996 - samples/sec: 549.00 2019-08-20 00:51:03,558 epoch 61 - iter 1060/2650 - loss 0.16205794 - samples/sec: 540.53 2019-08-20 00:51:19,060 epoch 61 - iter 1325/2650 - loss 0.16264928 - samples/sec: 551.29 2019-08-20 00:51:34,881 epoch 61 - iter 1590/2650 - loss 0.16338731 - samples/sec: 539.97 2019-08-20 00:51:50,515 epoch 61 - iter 1855/2650 - loss 0.16394431 - samples/sec: 546.75 2019-08-20 00:52:06,213 epoch 61 - iter 2120/2650 - loss 0.16372591 - samples/sec: 544.44 2019-08-20 00:52:21,881 epoch 61 - iter 2385/2650 - loss 0.16381066 - samples/sec: 545.60 2019-08-20 00:52:37,311 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:52:37,312 EPOCH 61 done: loss 0.1638 - lr 0.1000 2019-08-20 00:52:37,312 BAD EPOCHS (no improvement): 0 2019-08-20 00:52:37,313 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:52:37,374 epoch 62 - iter 0/2650 - loss 0.12478349 - samples/sec: 151855.29 2019-08-20 00:52:53,117 epoch 62 - iter 265/2650 - loss 0.16228499 - samples/sec: 542.61 2019-08-20 00:53:08,759 epoch 62 - iter 530/2650 - loss 0.16591574 - samples/sec: 546.36 2019-08-20 00:53:24,323 epoch 62 - iter 795/2650 - loss 0.16630126 - samples/sec: 549.25 2019-08-20 00:53:39,938 epoch 62 - iter 1060/2650 - loss 0.16657359 - samples/sec: 547.37 2019-08-20 00:53:55,535 epoch 62 - iter 1325/2650 - loss 0.16449843 - samples/sec: 548.01 2019-08-20 00:54:10,939 epoch 62 - iter 1590/2650 - loss 0.16489503 - samples/sec: 554.70 2019-08-20 00:54:26,453 epoch 62 - iter 1855/2650 - loss 0.16511341 - samples/sec: 550.83 2019-08-20 00:54:42,152 epoch 62 - iter 2120/2650 - loss 0.16416922 - samples/sec: 544.52 2019-08-20 00:54:57,949 epoch 62 - iter 2385/2650 - loss 0.16442208 - samples/sec: 540.98 2019-08-20 00:55:13,569 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:55:13,570 EPOCH 62 done: loss 0.1644 - lr 0.1000 2019-08-20 00:55:13,570 BAD EPOCHS (no improvement): 1 2019-08-20 00:55:13,571 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:55:13,630 epoch 63 - iter 0/2650 - loss 0.09939575 - samples/sec: 157076.16 2019-08-20 00:55:29,411 epoch 63 - iter 265/2650 - loss 0.16187153 - samples/sec: 543.52 2019-08-20 00:55:45,046 epoch 63 - iter 530/2650 - loss 0.16367082 - samples/sec: 546.48 2019-08-20 00:56:00,440 epoch 63 - iter 795/2650 - loss 0.16288289 - samples/sec: 555.34 2019-08-20 00:56:15,968 epoch 63 - iter 1060/2650 - loss 0.16346731 - samples/sec: 550.39 2019-08-20 00:56:31,556 epoch 63 - iter 1325/2650 - loss 0.16361037 - samples/sec: 548.30 2019-08-20 00:56:47,158 epoch 63 - iter 1590/2650 - loss 0.16347986 - samples/sec: 547.73 2019-08-20 00:57:02,947 epoch 63 - iter 1855/2650 - loss 0.16277845 - samples/sec: 541.14 2019-08-20 00:57:18,529 epoch 63 - iter 2120/2650 - loss 0.16208126 - samples/sec: 548.58 2019-08-20 00:57:34,240 epoch 63 - iter 2385/2650 - loss 0.16187398 - samples/sec: 544.01 2019-08-20 00:57:49,926 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:57:49,927 EPOCH 63 done: loss 0.1614 - lr 0.1000 2019-08-20 00:57:49,927 BAD EPOCHS (no improvement): 0 2019-08-20 00:57:49,928 ---------------------------------------------------------------------------------------------------- 2019-08-20 00:57:49,986 epoch 64 - iter 0/2650 - loss 0.23570958 - samples/sec: 157938.27 2019-08-20 00:58:05,527 epoch 64 - iter 265/2650 - loss 0.16565028 - samples/sec: 549.81 2019-08-20 00:58:20,774 epoch 64 - iter 530/2650 - loss 0.16399347 - samples/sec: 560.50 2019-08-20 00:58:36,380 epoch 64 - iter 795/2650 - loss 0.16285309 - samples/sec: 547.87 2019-08-20 00:58:51,998 epoch 64 - iter 1060/2650 - loss 0.16308848 - samples/sec: 547.36 2019-08-20 00:59:07,748 epoch 64 - iter 1325/2650 - loss 0.16198057 - samples/sec: 542.35 2019-08-20 00:59:23,419 epoch 64 - iter 1590/2650 - loss 0.16195543 - samples/sec: 545.19 2019-08-20 00:59:39,274 epoch 64 - iter 1855/2650 - loss 0.16194092 - samples/sec: 538.84 2019-08-20 00:59:54,714 epoch 64 - iter 2120/2650 - loss 0.16178186 - samples/sec: 553.93 2019-08-20 01:00:09,886 epoch 64 - iter 2385/2650 - loss 0.16197717 - samples/sec: 563.21 2019-08-20 01:00:25,430 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:00:25,431 EPOCH 64 done: loss 0.1621 - lr 0.1000 2019-08-20 01:00:25,431 BAD EPOCHS (no improvement): 1 2019-08-20 01:00:25,433 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:00:25,487 epoch 65 - iter 0/2650 - loss 0.12983660 - samples/sec: 170199.92 2019-08-20 01:00:40,979 epoch 65 - iter 265/2650 - loss 0.15662380 - samples/sec: 551.49 2019-08-20 01:00:56,443 epoch 65 - iter 530/2650 - loss 0.15746519 - samples/sec: 552.59 2019-08-20 01:01:11,969 epoch 65 - iter 795/2650 - loss 0.15942268 - samples/sec: 550.73 2019-08-20 01:01:27,726 epoch 65 - iter 1060/2650 - loss 0.15995640 - samples/sec: 542.34 2019-08-20 01:01:43,385 epoch 65 - iter 1325/2650 - loss 0.16086322 - samples/sec: 545.77 2019-08-20 01:01:58,849 epoch 65 - iter 1590/2650 - loss 0.16022735 - samples/sec: 553.05 2019-08-20 01:02:14,656 epoch 65 - iter 1855/2650 - loss 0.16027487 - samples/sec: 540.58 2019-08-20 01:02:30,291 epoch 65 - iter 2120/2650 - loss 0.16058755 - samples/sec: 546.76 2019-08-20 01:02:45,996 epoch 65 - iter 2385/2650 - loss 0.16032055 - samples/sec: 544.10 2019-08-20 01:03:01,569 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:03:01,570 EPOCH 65 done: loss 0.1598 - lr 0.1000 2019-08-20 01:03:01,570 BAD EPOCHS (no improvement): 0 2019-08-20 01:03:01,571 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:03:01,640 epoch 66 - iter 0/2650 - loss 0.19647236 - samples/sec: 133165.97 2019-08-20 01:03:17,393 epoch 66 - iter 265/2650 - loss 0.16372049 - samples/sec: 542.31 2019-08-20 01:03:32,832 epoch 66 - iter 530/2650 - loss 0.16167454 - samples/sec: 553.50 2019-08-20 01:03:48,504 epoch 66 - iter 795/2650 - loss 0.16185346 - samples/sec: 545.40 2019-08-20 01:04:03,827 epoch 66 - iter 1060/2650 - loss 0.16100319 - samples/sec: 557.80 2019-08-20 01:04:19,541 epoch 66 - iter 1325/2650 - loss 0.15978168 - samples/sec: 543.76 2019-08-20 01:04:35,086 epoch 66 - iter 1590/2650 - loss 0.16011765 - samples/sec: 549.69 2019-08-20 01:04:50,808 epoch 66 - iter 1855/2650 - loss 0.15992827 - samples/sec: 543.43 2019-08-20 01:05:06,391 epoch 66 - iter 2120/2650 - loss 0.16048040 - samples/sec: 548.80 2019-08-20 01:05:21,992 epoch 66 - iter 2385/2650 - loss 0.16049776 - samples/sec: 547.91 2019-08-20 01:05:37,761 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:05:37,761 EPOCH 66 done: loss 0.1605 - lr 0.1000 2019-08-20 01:05:37,761 BAD EPOCHS (no improvement): 1 2019-08-20 01:05:37,763 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:05:37,824 epoch 67 - iter 0/2650 - loss 0.11604624 - samples/sec: 152194.48 2019-08-20 01:05:53,321 epoch 67 - iter 265/2650 - loss 0.16005195 - samples/sec: 551.47 2019-08-20 01:06:08,973 epoch 67 - iter 530/2650 - loss 0.16022655 - samples/sec: 545.81 2019-08-20 01:06:24,460 epoch 67 - iter 795/2650 - loss 0.15937072 - samples/sec: 552.09 2019-08-20 01:06:40,024 epoch 67 - iter 1060/2650 - loss 0.15928141 - samples/sec: 549.19 2019-08-20 01:06:55,861 epoch 67 - iter 1325/2650 - loss 0.15934004 - samples/sec: 539.64 2019-08-20 01:07:11,814 epoch 67 - iter 1590/2650 - loss 0.15974317 - samples/sec: 535.49 2019-08-20 01:07:27,432 epoch 67 - iter 1855/2650 - loss 0.15922718 - samples/sec: 547.09 2019-08-20 01:07:43,109 epoch 67 - iter 2120/2650 - loss 0.15925940 - samples/sec: 545.27 2019-08-20 01:07:58,679 epoch 67 - iter 2385/2650 - loss 0.15891131 - samples/sec: 548.94 2019-08-20 01:08:14,200 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:08:14,200 EPOCH 67 done: loss 0.1585 - lr 0.1000 2019-08-20 01:08:14,201 BAD EPOCHS (no improvement): 0 2019-08-20 01:08:14,202 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:08:14,262 epoch 68 - iter 0/2650 - loss 0.12822534 - samples/sec: 152162.58 2019-08-20 01:08:29,874 epoch 68 - iter 265/2650 - loss 0.15454575 - samples/sec: 547.28 2019-08-20 01:08:45,456 epoch 68 - iter 530/2650 - loss 0.15778074 - samples/sec: 548.34 2019-08-20 01:09:01,223 epoch 68 - iter 795/2650 - loss 0.15740512 - samples/sec: 542.14 2019-08-20 01:09:16,874 epoch 68 - iter 1060/2650 - loss 0.15813451 - samples/sec: 546.13 2019-08-20 01:09:32,228 epoch 68 - iter 1325/2650 - loss 0.15664546 - samples/sec: 556.88 2019-08-20 01:09:47,731 epoch 68 - iter 1590/2650 - loss 0.15673308 - samples/sec: 551.17 2019-08-20 01:10:03,489 epoch 68 - iter 1855/2650 - loss 0.15651596 - samples/sec: 542.18 2019-08-20 01:10:19,205 epoch 68 - iter 2120/2650 - loss 0.15657311 - samples/sec: 543.83 2019-08-20 01:10:34,783 epoch 68 - iter 2385/2650 - loss 0.15726901 - samples/sec: 548.68 2019-08-20 01:10:50,161 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:10:50,162 EPOCH 68 done: loss 0.1575 - lr 0.1000 2019-08-20 01:10:50,162 BAD EPOCHS (no improvement): 0 2019-08-20 01:10:50,163 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:10:50,222 epoch 69 - iter 0/2650 - loss 0.10856034 - samples/sec: 155428.09 2019-08-20 01:11:05,881 epoch 69 - iter 265/2650 - loss 0.16049600 - samples/sec: 545.61 2019-08-20 01:11:21,591 epoch 69 - iter 530/2650 - loss 0.15805749 - samples/sec: 543.75 2019-08-20 01:11:37,291 epoch 69 - iter 795/2650 - loss 0.15778062 - samples/sec: 544.35 2019-08-20 01:11:52,887 epoch 69 - iter 1060/2650 - loss 0.15701510 - samples/sec: 548.01 2019-08-20 01:12:08,619 epoch 69 - iter 1325/2650 - loss 0.15743576 - samples/sec: 543.26 2019-08-20 01:12:24,537 epoch 69 - iter 1590/2650 - loss 0.15663787 - samples/sec: 536.75 2019-08-20 01:12:40,236 epoch 69 - iter 1855/2650 - loss 0.15656121 - samples/sec: 545.68 2019-08-20 01:12:55,603 epoch 69 - iter 2120/2650 - loss 0.15650452 - samples/sec: 556.37 2019-08-20 01:13:11,087 epoch 69 - iter 2385/2650 - loss 0.15665051 - samples/sec: 552.04 2019-08-20 01:13:26,491 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:13:26,491 EPOCH 69 done: loss 0.1564 - lr 0.1000 2019-08-20 01:13:26,492 BAD EPOCHS (no improvement): 0 2019-08-20 01:13:26,493 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:13:26,557 epoch 70 - iter 0/2650 - loss 0.09800376 - samples/sec: 142627.93 2019-08-20 01:13:42,174 epoch 70 - iter 265/2650 - loss 0.15643673 - samples/sec: 548.01 2019-08-20 01:13:57,916 epoch 70 - iter 530/2650 - loss 0.15530982 - samples/sec: 542.71 2019-08-20 01:14:13,734 epoch 70 - iter 795/2650 - loss 0.15384866 - samples/sec: 540.31 2019-08-20 01:14:29,360 epoch 70 - iter 1060/2650 - loss 0.15467861 - samples/sec: 547.12 2019-08-20 01:14:45,045 epoch 70 - iter 1325/2650 - loss 0.15519881 - samples/sec: 544.79 2019-08-20 01:15:00,667 epoch 70 - iter 1590/2650 - loss 0.15498933 - samples/sec: 547.04 2019-08-20 01:15:16,101 epoch 70 - iter 1855/2650 - loss 0.15504247 - samples/sec: 554.32 2019-08-20 01:15:31,861 epoch 70 - iter 2120/2650 - loss 0.15536868 - samples/sec: 542.39 2019-08-20 01:15:47,584 epoch 70 - iter 2385/2650 - loss 0.15597666 - samples/sec: 543.60 2019-08-20 01:16:03,152 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:16:03,152 EPOCH 70 done: loss 0.1556 - lr 0.1000 2019-08-20 01:16:03,152 BAD EPOCHS (no improvement): 0 2019-08-20 01:16:03,153 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:16:03,214 epoch 71 - iter 0/2650 - loss 0.14027870 - samples/sec: 153298.47 2019-08-20 01:16:18,702 epoch 71 - iter 265/2650 - loss 0.14580149 - samples/sec: 551.58 2019-08-20 01:16:34,436 epoch 71 - iter 530/2650 - loss 0.15013033 - samples/sec: 542.95 2019-08-20 01:16:50,163 epoch 71 - iter 795/2650 - loss 0.15264292 - samples/sec: 543.43 2019-08-20 01:17:05,868 epoch 71 - iter 1060/2650 - loss 0.15216024 - samples/sec: 544.28 2019-08-20 01:17:21,354 epoch 71 - iter 1325/2650 - loss 0.15329271 - samples/sec: 551.88 2019-08-20 01:17:36,992 epoch 71 - iter 1590/2650 - loss 0.15268048 - samples/sec: 546.43 2019-08-20 01:17:52,635 epoch 71 - iter 1855/2650 - loss 0.15243980 - samples/sec: 546.22 2019-08-20 01:18:08,565 epoch 71 - iter 2120/2650 - loss 0.15237977 - samples/sec: 536.46 2019-08-20 01:18:24,174 epoch 71 - iter 2385/2650 - loss 0.15272157 - samples/sec: 547.64 2019-08-20 01:18:39,650 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:18:39,651 EPOCH 71 done: loss 0.1532 - lr 0.1000 2019-08-20 01:18:39,651 BAD EPOCHS (no improvement): 0 2019-08-20 01:18:39,652 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:18:39,711 epoch 72 - iter 0/2650 - loss 0.11012738 - samples/sec: 159265.72 2019-08-20 01:18:55,134 epoch 72 - iter 265/2650 - loss 0.15124292 - samples/sec: 554.12 2019-08-20 01:19:10,685 epoch 72 - iter 530/2650 - loss 0.15340171 - samples/sec: 549.48 2019-08-20 01:19:26,385 epoch 72 - iter 795/2650 - loss 0.15431311 - samples/sec: 544.31 2019-08-20 01:19:41,827 epoch 72 - iter 1060/2650 - loss 0.15428408 - samples/sec: 553.56 2019-08-20 01:19:57,399 epoch 72 - iter 1325/2650 - loss 0.15349106 - samples/sec: 548.87 2019-08-20 01:20:13,155 epoch 72 - iter 1590/2650 - loss 0.15409248 - samples/sec: 542.32 2019-08-20 01:20:28,998 epoch 72 - iter 1855/2650 - loss 0.15427287 - samples/sec: 539.34 2019-08-20 01:20:44,732 epoch 72 - iter 2120/2650 - loss 0.15363515 - samples/sec: 543.05 2019-08-20 01:21:00,127 epoch 72 - iter 2385/2650 - loss 0.15339191 - samples/sec: 555.37 2019-08-20 01:21:15,702 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:21:15,702 EPOCH 72 done: loss 0.1533 - lr 0.1000 2019-08-20 01:21:15,702 BAD EPOCHS (no improvement): 1 2019-08-20 01:21:15,703 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:21:15,761 epoch 73 - iter 0/2650 - loss 0.15018545 - samples/sec: 163789.45 2019-08-20 01:21:31,378 epoch 73 - iter 265/2650 - loss 0.14972714 - samples/sec: 547.21 2019-08-20 01:21:45,935 epoch 73 - iter 530/2650 - loss 0.15170976 - samples/sec: 586.71 2019-08-20 01:22:00,420 epoch 73 - iter 795/2650 - loss 0.15293631 - samples/sec: 589.74 2019-08-20 01:22:14,771 epoch 73 - iter 1060/2650 - loss 0.15510769 - samples/sec: 595.36 2019-08-20 01:22:29,482 epoch 73 - iter 1325/2650 - loss 0.15461914 - samples/sec: 580.82 2019-08-20 01:22:45,183 epoch 73 - iter 1590/2650 - loss 0.15383019 - samples/sec: 544.26 2019-08-20 01:23:01,001 epoch 73 - iter 1855/2650 - loss 0.15408187 - samples/sec: 540.15 2019-08-20 01:23:16,675 epoch 73 - iter 2120/2650 - loss 0.15372509 - samples/sec: 545.17 2019-08-20 01:23:32,218 epoch 73 - iter 2385/2650 - loss 0.15291161 - samples/sec: 549.98 2019-08-20 01:23:47,768 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:23:47,768 EPOCH 73 done: loss 0.1537 - lr 0.1000 2019-08-20 01:23:47,769 BAD EPOCHS (no improvement): 2 2019-08-20 01:23:47,769 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:23:47,824 epoch 74 - iter 0/2650 - loss 0.17457779 - samples/sec: 169753.96 2019-08-20 01:24:03,382 epoch 74 - iter 265/2650 - loss 0.15417234 - samples/sec: 549.23 2019-08-20 01:24:19,005 epoch 74 - iter 530/2650 - loss 0.15496662 - samples/sec: 546.89 2019-08-20 01:24:34,470 epoch 74 - iter 795/2650 - loss 0.15450976 - samples/sec: 552.55 2019-08-20 01:24:50,220 epoch 74 - iter 1060/2650 - loss 0.15324036 - samples/sec: 542.71 2019-08-20 01:25:05,953 epoch 74 - iter 1325/2650 - loss 0.15262507 - samples/sec: 543.14 2019-08-20 01:25:21,807 epoch 74 - iter 1590/2650 - loss 0.15236635 - samples/sec: 539.00 2019-08-20 01:25:37,256 epoch 74 - iter 1855/2650 - loss 0.15240067 - samples/sec: 553.36 2019-08-20 01:25:53,125 epoch 74 - iter 2120/2650 - loss 0.15200655 - samples/sec: 538.50 2019-08-20 01:26:08,773 epoch 74 - iter 2385/2650 - loss 0.15255549 - samples/sec: 547.36 2019-08-20 01:26:24,110 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:26:24,111 EPOCH 74 done: loss 0.1525 - lr 0.1000 2019-08-20 01:26:24,111 BAD EPOCHS (no improvement): 0 2019-08-20 01:26:24,112 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:26:24,165 epoch 75 - iter 0/2650 - loss 0.13264412 - samples/sec: 175320.02 2019-08-20 01:26:39,419 epoch 75 - iter 265/2650 - loss 0.14755341 - samples/sec: 560.01 2019-08-20 01:26:54,834 epoch 75 - iter 530/2650 - loss 0.14821508 - samples/sec: 554.37 2019-08-20 01:27:10,464 epoch 75 - iter 795/2650 - loss 0.14828205 - samples/sec: 547.03 2019-08-20 01:27:25,865 epoch 75 - iter 1060/2650 - loss 0.14947462 - samples/sec: 555.10 2019-08-20 01:27:41,475 epoch 75 - iter 1325/2650 - loss 0.14968667 - samples/sec: 547.58 2019-08-20 01:27:57,216 epoch 75 - iter 1590/2650 - loss 0.15017290 - samples/sec: 542.83 2019-08-20 01:28:12,716 epoch 75 - iter 1855/2650 - loss 0.15054800 - samples/sec: 551.27 2019-08-20 01:28:28,508 epoch 75 - iter 2120/2650 - loss 0.15128522 - samples/sec: 541.04 2019-08-20 01:28:44,469 epoch 75 - iter 2385/2650 - loss 0.15122724 - samples/sec: 535.40 2019-08-20 01:29:00,134 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:29:00,135 EPOCH 75 done: loss 0.1518 - lr 0.1000 2019-08-20 01:29:00,135 BAD EPOCHS (no improvement): 0 2019-08-20 01:29:00,136 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:29:00,201 epoch 76 - iter 0/2650 - loss 0.15041780 - samples/sec: 144043.68 2019-08-20 01:29:15,781 epoch 76 - iter 265/2650 - loss 0.14764286 - samples/sec: 548.45 2019-08-20 01:29:31,402 epoch 76 - iter 530/2650 - loss 0.14740801 - samples/sec: 546.94 2019-08-20 01:29:46,851 epoch 76 - iter 795/2650 - loss 0.14856867 - samples/sec: 553.21 2019-08-20 01:30:02,289 epoch 76 - iter 1060/2650 - loss 0.15028278 - samples/sec: 553.75 2019-08-20 01:30:17,850 epoch 76 - iter 1325/2650 - loss 0.15105525 - samples/sec: 549.24 2019-08-20 01:30:33,486 epoch 76 - iter 1590/2650 - loss 0.15089405 - samples/sec: 546.40 2019-08-20 01:30:48,900 epoch 76 - iter 1855/2650 - loss 0.15039985 - samples/sec: 554.29 2019-08-20 01:31:04,482 epoch 76 - iter 2120/2650 - loss 0.15019907 - samples/sec: 548.23 2019-08-20 01:31:20,031 epoch 76 - iter 2385/2650 - loss 0.15080556 - samples/sec: 549.70 2019-08-20 01:31:35,853 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:31:35,853 EPOCH 76 done: loss 0.1508 - lr 0.1000 2019-08-20 01:31:35,854 BAD EPOCHS (no improvement): 0 2019-08-20 01:31:35,855 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:31:35,917 epoch 77 - iter 0/2650 - loss 0.18086848 - samples/sec: 149758.73 2019-08-20 01:31:51,497 epoch 77 - iter 265/2650 - loss 0.15495933 - samples/sec: 548.52 2019-08-20 01:32:07,118 epoch 77 - iter 530/2650 - loss 0.15174496 - samples/sec: 546.96 2019-08-20 01:32:22,676 epoch 77 - iter 795/2650 - loss 0.15089368 - samples/sec: 549.57 2019-08-20 01:32:38,424 epoch 77 - iter 1060/2650 - loss 0.15032296 - samples/sec: 542.71 2019-08-20 01:32:54,045 epoch 77 - iter 1325/2650 - loss 0.14990123 - samples/sec: 547.06 2019-08-20 01:33:09,376 epoch 77 - iter 1590/2650 - loss 0.15024136 - samples/sec: 557.43 2019-08-20 01:33:25,158 epoch 77 - iter 1855/2650 - loss 0.14964479 - samples/sec: 541.42 2019-08-20 01:33:40,858 epoch 77 - iter 2120/2650 - loss 0.14879959 - samples/sec: 544.13 2019-08-20 01:33:56,355 epoch 77 - iter 2385/2650 - loss 0.14834548 - samples/sec: 551.72 2019-08-20 01:34:11,828 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:34:11,829 EPOCH 77 done: loss 0.1485 - lr 0.1000 2019-08-20 01:34:11,829 BAD EPOCHS (no improvement): 0 2019-08-20 01:34:11,830 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:34:11,899 epoch 78 - iter 0/2650 - loss 0.12832874 - samples/sec: 131050.27 2019-08-20 01:34:27,727 epoch 78 - iter 265/2650 - loss 0.15185968 - samples/sec: 539.80 2019-08-20 01:34:43,421 epoch 78 - iter 530/2650 - loss 0.14993355 - samples/sec: 544.46 2019-08-20 01:34:59,112 epoch 78 - iter 795/2650 - loss 0.14914473 - samples/sec: 544.65 2019-08-20 01:35:14,743 epoch 78 - iter 1060/2650 - loss 0.14879546 - samples/sec: 546.88 2019-08-20 01:35:30,555 epoch 78 - iter 1325/2650 - loss 0.14753495 - samples/sec: 542.50 2019-08-20 01:35:45,930 epoch 78 - iter 1590/2650 - loss 0.14704302 - samples/sec: 555.85 2019-08-20 01:36:01,665 epoch 78 - iter 1855/2650 - loss 0.14839689 - samples/sec: 543.23 2019-08-20 01:36:17,228 epoch 78 - iter 2120/2650 - loss 0.14930053 - samples/sec: 549.30 2019-08-20 01:36:33,135 epoch 78 - iter 2385/2650 - loss 0.15014487 - samples/sec: 537.31 2019-08-20 01:36:48,603 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:36:48,604 EPOCH 78 done: loss 0.1499 - lr 0.1000 2019-08-20 01:36:48,604 BAD EPOCHS (no improvement): 1 2019-08-20 01:36:48,605 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:36:48,661 epoch 79 - iter 0/2650 - loss 0.11755203 - samples/sec: 164315.34 2019-08-20 01:37:04,098 epoch 79 - iter 265/2650 - loss 0.14628362 - samples/sec: 553.62 2019-08-20 01:37:19,735 epoch 79 - iter 530/2650 - loss 0.14525924 - samples/sec: 546.59 2019-08-20 01:37:35,576 epoch 79 - iter 795/2650 - loss 0.14562949 - samples/sec: 539.30 2019-08-20 01:37:50,983 epoch 79 - iter 1060/2650 - loss 0.14642007 - samples/sec: 555.01 2019-08-20 01:38:06,741 epoch 79 - iter 1325/2650 - loss 0.14631415 - samples/sec: 542.31 2019-08-20 01:38:22,320 epoch 79 - iter 1590/2650 - loss 0.14632840 - samples/sec: 548.56 2019-08-20 01:38:37,914 epoch 79 - iter 1855/2650 - loss 0.14693330 - samples/sec: 548.03 2019-08-20 01:38:53,687 epoch 79 - iter 2120/2650 - loss 0.14758881 - samples/sec: 541.59 2019-08-20 01:39:09,514 epoch 79 - iter 2385/2650 - loss 0.14794170 - samples/sec: 540.05 2019-08-20 01:39:25,056 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:39:25,056 EPOCH 79 done: loss 0.1474 - lr 0.1000 2019-08-20 01:39:25,056 BAD EPOCHS (no improvement): 0 2019-08-20 01:39:25,057 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:39:25,106 epoch 80 - iter 0/2650 - loss 0.14438860 - samples/sec: 191661.09 2019-08-20 01:39:40,544 epoch 80 - iter 265/2650 - loss 0.14999757 - samples/sec: 553.54 2019-08-20 01:39:56,036 epoch 80 - iter 530/2650 - loss 0.15018324 - samples/sec: 551.59 2019-08-20 01:40:11,612 epoch 80 - iter 795/2650 - loss 0.14960164 - samples/sec: 548.54 2019-08-20 01:40:27,318 epoch 80 - iter 1060/2650 - loss 0.14917964 - samples/sec: 544.10 2019-08-20 01:40:42,756 epoch 80 - iter 1325/2650 - loss 0.14930554 - samples/sec: 553.71 2019-08-20 01:40:58,338 epoch 80 - iter 1590/2650 - loss 0.14885902 - samples/sec: 548.38 2019-08-20 01:41:13,898 epoch 80 - iter 1855/2650 - loss 0.14877045 - samples/sec: 549.12 2019-08-20 01:41:29,561 epoch 80 - iter 2120/2650 - loss 0.14856622 - samples/sec: 545.49 2019-08-20 01:41:45,372 epoch 80 - iter 2385/2650 - loss 0.14849238 - samples/sec: 540.60 2019-08-20 01:42:01,034 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:42:01,034 EPOCH 80 done: loss 0.1483 - lr 0.1000 2019-08-20 01:42:01,035 BAD EPOCHS (no improvement): 1 2019-08-20 01:42:01,035 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:42:01,086 epoch 81 - iter 0/2650 - loss 0.07728260 - samples/sec: 189093.32 2019-08-20 01:42:16,529 epoch 81 - iter 265/2650 - loss 0.14921977 - samples/sec: 553.41 2019-08-20 01:42:32,208 epoch 81 - iter 530/2650 - loss 0.14676964 - samples/sec: 544.98 2019-08-20 01:42:47,866 epoch 81 - iter 795/2650 - loss 0.14728005 - samples/sec: 545.72 2019-08-20 01:43:03,360 epoch 81 - iter 1060/2650 - loss 0.14647041 - samples/sec: 551.73 2019-08-20 01:43:18,820 epoch 81 - iter 1325/2650 - loss 0.14631000 - samples/sec: 552.88 2019-08-20 01:43:34,419 epoch 81 - iter 1590/2650 - loss 0.14695549 - samples/sec: 547.94 2019-08-20 01:43:50,312 epoch 81 - iter 1855/2650 - loss 0.14672229 - samples/sec: 537.67 2019-08-20 01:44:05,808 epoch 81 - iter 2120/2650 - loss 0.14695081 - samples/sec: 551.48 2019-08-20 01:44:21,657 epoch 81 - iter 2385/2650 - loss 0.14655963 - samples/sec: 539.29 2019-08-20 01:44:37,359 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:44:37,359 EPOCH 81 done: loss 0.1462 - lr 0.1000 2019-08-20 01:44:37,359 BAD EPOCHS (no improvement): 0 2019-08-20 01:44:37,360 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:44:37,435 epoch 82 - iter 0/2650 - loss 0.17745636 - samples/sec: 122026.16 2019-08-20 01:44:52,956 epoch 82 - iter 265/2650 - loss 0.15070948 - samples/sec: 550.54 2019-08-20 01:45:08,450 epoch 82 - iter 530/2650 - loss 0.14599486 - samples/sec: 551.68 2019-08-20 01:45:23,963 epoch 82 - iter 795/2650 - loss 0.14670635 - samples/sec: 550.79 2019-08-20 01:45:39,459 epoch 82 - iter 1060/2650 - loss 0.14518797 - samples/sec: 551.57 2019-08-20 01:45:55,041 epoch 82 - iter 1325/2650 - loss 0.14689451 - samples/sec: 548.66 2019-08-20 01:46:10,585 epoch 82 - iter 1590/2650 - loss 0.14771087 - samples/sec: 549.80 2019-08-20 01:46:26,184 epoch 82 - iter 1855/2650 - loss 0.14720490 - samples/sec: 547.75 2019-08-20 01:46:42,182 epoch 82 - iter 2120/2650 - loss 0.14675928 - samples/sec: 534.04 2019-08-20 01:46:57,807 epoch 82 - iter 2385/2650 - loss 0.14660368 - samples/sec: 547.00 2019-08-20 01:47:13,436 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:47:13,437 EPOCH 82 done: loss 0.1467 - lr 0.1000 2019-08-20 01:47:13,437 BAD EPOCHS (no improvement): 1 2019-08-20 01:47:13,438 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:47:13,504 epoch 83 - iter 0/2650 - loss 0.07807794 - samples/sec: 140751.80 2019-08-20 01:47:29,010 epoch 83 - iter 265/2650 - loss 0.14076378 - samples/sec: 551.16 2019-08-20 01:47:44,728 epoch 83 - iter 530/2650 - loss 0.14423420 - samples/sec: 543.67 2019-08-20 01:48:00,350 epoch 83 - iter 795/2650 - loss 0.14416530 - samples/sec: 546.92 2019-08-20 01:48:16,220 epoch 83 - iter 1060/2650 - loss 0.14472766 - samples/sec: 538.55 2019-08-20 01:48:31,638 epoch 83 - iter 1325/2650 - loss 0.14500710 - samples/sec: 554.62 2019-08-20 01:48:47,208 epoch 83 - iter 1590/2650 - loss 0.14526226 - samples/sec: 549.00 2019-08-20 01:49:02,864 epoch 83 - iter 1855/2650 - loss 0.14543611 - samples/sec: 545.97 2019-08-20 01:49:18,537 epoch 83 - iter 2120/2650 - loss 0.14548152 - samples/sec: 545.12 2019-08-20 01:49:34,222 epoch 83 - iter 2385/2650 - loss 0.14585739 - samples/sec: 544.85 2019-08-20 01:49:49,709 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:49:49,709 EPOCH 83 done: loss 0.1463 - lr 0.1000 2019-08-20 01:49:49,709 BAD EPOCHS (no improvement): 2 2019-08-20 01:49:49,710 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:49:49,778 epoch 84 - iter 0/2650 - loss 0.10489204 - samples/sec: 137198.30 2019-08-20 01:50:05,314 epoch 84 - iter 265/2650 - loss 0.14124670 - samples/sec: 550.10 2019-08-20 01:50:20,822 epoch 84 - iter 530/2650 - loss 0.14094164 - samples/sec: 551.03 2019-08-20 01:50:36,471 epoch 84 - iter 795/2650 - loss 0.14250968 - samples/sec: 545.98 2019-08-20 01:50:52,283 epoch 84 - iter 1060/2650 - loss 0.14391847 - samples/sec: 540.40 2019-08-20 01:51:07,910 epoch 84 - iter 1325/2650 - loss 0.14471870 - samples/sec: 547.08 2019-08-20 01:51:23,436 epoch 84 - iter 1590/2650 - loss 0.14535990 - samples/sec: 550.71 2019-08-20 01:51:39,249 epoch 84 - iter 1855/2650 - loss 0.14525451 - samples/sec: 540.29 2019-08-20 01:51:54,877 epoch 84 - iter 2120/2650 - loss 0.14532785 - samples/sec: 546.84 2019-08-20 01:52:10,634 epoch 84 - iter 2385/2650 - loss 0.14527481 - samples/sec: 542.35 2019-08-20 01:52:26,177 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:52:26,177 EPOCH 84 done: loss 0.1449 - lr 0.1000 2019-08-20 01:52:26,177 BAD EPOCHS (no improvement): 0 2019-08-20 01:52:26,178 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:52:26,251 epoch 85 - iter 0/2650 - loss 0.19854258 - samples/sec: 125075.86 2019-08-20 01:52:41,888 epoch 85 - iter 265/2650 - loss 0.14809410 - samples/sec: 546.49 2019-08-20 01:52:57,473 epoch 85 - iter 530/2650 - loss 0.14773119 - samples/sec: 548.30 2019-08-20 01:53:13,068 epoch 85 - iter 795/2650 - loss 0.14799715 - samples/sec: 548.01 2019-08-20 01:53:28,884 epoch 85 - iter 1060/2650 - loss 0.14690642 - samples/sec: 540.27 2019-08-20 01:53:44,478 epoch 85 - iter 1325/2650 - loss 0.14613394 - samples/sec: 548.27 2019-08-20 01:54:00,102 epoch 85 - iter 1590/2650 - loss 0.14556337 - samples/sec: 547.13 2019-08-20 01:54:15,552 epoch 85 - iter 1855/2650 - loss 0.14617080 - samples/sec: 553.28 2019-08-20 01:54:31,201 epoch 85 - iter 2120/2650 - loss 0.14592336 - samples/sec: 546.03 2019-08-20 01:54:46,805 epoch 85 - iter 2385/2650 - loss 0.14611967 - samples/sec: 547.50 2019-08-20 01:55:02,401 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:55:02,402 EPOCH 85 done: loss 0.1463 - lr 0.1000 2019-08-20 01:55:02,402 BAD EPOCHS (no improvement): 1 2019-08-20 01:55:02,403 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:55:02,457 epoch 86 - iter 0/2650 - loss 0.12176257 - samples/sec: 175434.16 2019-08-20 01:55:18,043 epoch 86 - iter 265/2650 - loss 0.14384648 - samples/sec: 548.39 2019-08-20 01:55:33,723 epoch 86 - iter 530/2650 - loss 0.14203855 - samples/sec: 544.90 2019-08-20 01:55:49,224 epoch 86 - iter 795/2650 - loss 0.14240345 - samples/sec: 551.41 2019-08-20 01:56:04,941 epoch 86 - iter 1060/2650 - loss 0.14292069 - samples/sec: 543.59 2019-08-20 01:56:20,606 epoch 86 - iter 1325/2650 - loss 0.14404967 - samples/sec: 545.68 2019-08-20 01:56:36,341 epoch 86 - iter 1590/2650 - loss 0.14396342 - samples/sec: 543.15 2019-08-20 01:56:51,874 epoch 86 - iter 1855/2650 - loss 0.14437895 - samples/sec: 550.23 2019-08-20 01:57:07,428 epoch 86 - iter 2120/2650 - loss 0.14457307 - samples/sec: 549.44 2019-08-20 01:57:23,109 epoch 86 - iter 2385/2650 - loss 0.14457559 - samples/sec: 544.86 2019-08-20 01:57:38,852 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:57:38,853 EPOCH 86 done: loss 0.1449 - lr 0.1000 2019-08-20 01:57:38,853 BAD EPOCHS (no improvement): 0 2019-08-20 01:57:38,854 ---------------------------------------------------------------------------------------------------- 2019-08-20 01:57:38,907 epoch 87 - iter 0/2650 - loss 0.13294466 - samples/sec: 174561.96 2019-08-20 01:57:54,324 epoch 87 - iter 265/2650 - loss 0.14343736 - samples/sec: 554.43 2019-08-20 01:58:09,721 epoch 87 - iter 530/2650 - loss 0.14530685 - samples/sec: 555.05 2019-08-20 01:58:25,353 epoch 87 - iter 795/2650 - loss 0.14334516 - samples/sec: 546.69 2019-08-20 01:58:41,244 epoch 87 - iter 1060/2650 - loss 0.14224637 - samples/sec: 537.32 2019-08-20 01:58:56,861 epoch 87 - iter 1325/2650 - loss 0.14425284 - samples/sec: 547.39 2019-08-20 01:59:12,441 epoch 87 - iter 1590/2650 - loss 0.14378158 - samples/sec: 548.64 2019-08-20 01:59:28,013 epoch 87 - iter 1855/2650 - loss 0.14291525 - samples/sec: 548.89 2019-08-20 01:59:42,802 epoch 87 - iter 2120/2650 - loss 0.14314052 - samples/sec: 577.69 2019-08-20 01:59:57,580 epoch 87 - iter 2385/2650 - loss 0.14284438 - samples/sec: 577.86 2019-08-20 02:00:11,897 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:00:11,897 EPOCH 87 done: loss 0.1428 - lr 0.1000 2019-08-20 02:00:11,897 BAD EPOCHS (no improvement): 0 2019-08-20 02:00:11,898 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:00:11,978 epoch 88 - iter 0/2650 - loss 0.07325857 - samples/sec: 109321.34 2019-08-20 02:00:26,759 epoch 88 - iter 265/2650 - loss 0.14477092 - samples/sec: 578.14 2019-08-20 02:00:42,068 epoch 88 - iter 530/2650 - loss 0.14515659 - samples/sec: 558.15 2019-08-20 02:00:57,561 epoch 88 - iter 795/2650 - loss 0.14421206 - samples/sec: 551.70 2019-08-20 02:01:13,008 epoch 88 - iter 1060/2650 - loss 0.14359218 - samples/sec: 553.07 2019-08-20 02:01:28,698 epoch 88 - iter 1325/2650 - loss 0.14248406 - samples/sec: 544.74 2019-08-20 02:01:44,283 epoch 88 - iter 1590/2650 - loss 0.14276864 - samples/sec: 548.53 2019-08-20 02:01:59,841 epoch 88 - iter 1855/2650 - loss 0.14338301 - samples/sec: 549.42 2019-08-20 02:02:15,676 epoch 88 - iter 2120/2650 - loss 0.14308578 - samples/sec: 539.53 2019-08-20 02:02:31,284 epoch 88 - iter 2385/2650 - loss 0.14304342 - samples/sec: 547.44 2019-08-20 02:02:46,762 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:02:46,763 EPOCH 88 done: loss 0.1433 - lr 0.1000 2019-08-20 02:02:46,763 BAD EPOCHS (no improvement): 1 2019-08-20 02:02:46,764 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:02:46,820 epoch 89 - iter 0/2650 - loss 0.15750135 - samples/sec: 167177.58 2019-08-20 02:03:02,451 epoch 89 - iter 265/2650 - loss 0.14078916 - samples/sec: 546.73 2019-08-20 02:03:17,938 epoch 89 - iter 530/2650 - loss 0.14422071 - samples/sec: 551.86 2019-08-20 02:03:33,618 epoch 89 - iter 795/2650 - loss 0.14290008 - samples/sec: 544.99 2019-08-20 02:03:49,227 epoch 89 - iter 1060/2650 - loss 0.14242177 - samples/sec: 547.26 2019-08-20 02:04:05,060 epoch 89 - iter 1325/2650 - loss 0.14099142 - samples/sec: 539.89 2019-08-20 02:04:20,532 epoch 89 - iter 1590/2650 - loss 0.14152445 - samples/sec: 552.50 2019-08-20 02:04:36,087 epoch 89 - iter 1855/2650 - loss 0.14125877 - samples/sec: 549.39 2019-08-20 02:04:51,802 epoch 89 - iter 2120/2650 - loss 0.14162308 - samples/sec: 543.82 2019-08-20 02:05:07,488 epoch 89 - iter 2385/2650 - loss 0.14214033 - samples/sec: 544.75 2019-08-20 02:05:23,105 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:05:23,105 EPOCH 89 done: loss 0.1418 - lr 0.1000 2019-08-20 02:05:23,106 BAD EPOCHS (no improvement): 0 2019-08-20 02:05:23,106 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:05:23,162 epoch 90 - iter 0/2650 - loss 0.28454143 - samples/sec: 169612.29 2019-08-20 02:05:38,327 epoch 90 - iter 265/2650 - loss 0.14063395 - samples/sec: 563.71 2019-08-20 02:05:53,911 epoch 90 - iter 530/2650 - loss 0.14088862 - samples/sec: 548.38 2019-08-20 02:06:09,694 epoch 90 - iter 795/2650 - loss 0.14215493 - samples/sec: 541.32 2019-08-20 02:06:25,342 epoch 90 - iter 1060/2650 - loss 0.14128219 - samples/sec: 546.18 2019-08-20 02:06:41,125 epoch 90 - iter 1325/2650 - loss 0.14109845 - samples/sec: 541.54 2019-08-20 02:06:56,589 epoch 90 - iter 1590/2650 - loss 0.14127191 - samples/sec: 552.71 2019-08-20 02:07:12,093 epoch 90 - iter 1855/2650 - loss 0.14153282 - samples/sec: 551.24 2019-08-20 02:07:27,661 epoch 90 - iter 2120/2650 - loss 0.14053424 - samples/sec: 548.89 2019-08-20 02:07:42,520 epoch 90 - iter 2385/2650 - loss 0.14064759 - samples/sec: 575.01 2019-08-20 02:07:56,900 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:07:56,900 EPOCH 90 done: loss 0.1405 - lr 0.1000 2019-08-20 02:07:56,900 BAD EPOCHS (no improvement): 0 2019-08-20 02:07:56,901 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:07:56,958 epoch 91 - iter 0/2650 - loss 0.12264702 - samples/sec: 157261.60 2019-08-20 02:08:11,954 epoch 91 - iter 265/2650 - loss 0.14840940 - samples/sec: 569.87 2019-08-20 02:08:27,491 epoch 91 - iter 530/2650 - loss 0.14279459 - samples/sec: 550.09 2019-08-20 02:08:43,149 epoch 91 - iter 795/2650 - loss 0.14094967 - samples/sec: 545.72 2019-08-20 02:08:58,737 epoch 91 - iter 1060/2650 - loss 0.14033158 - samples/sec: 548.14 2019-08-20 02:09:14,155 epoch 91 - iter 1325/2650 - loss 0.14049028 - samples/sec: 554.50 2019-08-20 02:09:29,704 epoch 91 - iter 1590/2650 - loss 0.14041727 - samples/sec: 549.65 2019-08-20 02:09:45,266 epoch 91 - iter 1855/2650 - loss 0.14047932 - samples/sec: 549.18 2019-08-20 02:10:01,181 epoch 91 - iter 2120/2650 - loss 0.14101448 - samples/sec: 536.79 2019-08-20 02:10:16,932 epoch 91 - iter 2385/2650 - loss 0.14113563 - samples/sec: 542.53 2019-08-20 02:10:32,593 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:10:32,594 EPOCH 91 done: loss 0.1409 - lr 0.1000 2019-08-20 02:10:32,594 BAD EPOCHS (no improvement): 1 2019-08-20 02:10:32,595 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:10:32,652 epoch 92 - iter 0/2650 - loss 0.13696256 - samples/sec: 165996.31 2019-08-20 02:10:48,294 epoch 92 - iter 265/2650 - loss 0.13859172 - samples/sec: 546.31 2019-08-20 02:11:04,078 epoch 92 - iter 530/2650 - loss 0.14027631 - samples/sec: 541.33 2019-08-20 02:11:19,538 epoch 92 - iter 795/2650 - loss 0.13936589 - samples/sec: 553.19 2019-08-20 02:11:35,230 epoch 92 - iter 1060/2650 - loss 0.14137269 - samples/sec: 544.25 2019-08-20 02:11:50,727 epoch 92 - iter 1325/2650 - loss 0.14003265 - samples/sec: 551.65 2019-08-20 02:12:06,225 epoch 92 - iter 1590/2650 - loss 0.13952688 - samples/sec: 551.87 2019-08-20 02:12:21,752 epoch 92 - iter 1855/2650 - loss 0.13928382 - samples/sec: 550.46 2019-08-20 02:12:37,379 epoch 92 - iter 2120/2650 - loss 0.13928154 - samples/sec: 546.79 2019-08-20 02:12:53,114 epoch 92 - iter 2385/2650 - loss 0.13906167 - samples/sec: 542.98 2019-08-20 02:13:08,689 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:13:08,689 EPOCH 92 done: loss 0.1392 - lr 0.1000 2019-08-20 02:13:08,689 BAD EPOCHS (no improvement): 0 2019-08-20 02:13:08,690 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:13:08,754 epoch 93 - iter 0/2650 - loss 0.10136921 - samples/sec: 144711.79 2019-08-20 02:13:24,346 epoch 93 - iter 265/2650 - loss 0.14179029 - samples/sec: 547.99 2019-08-20 02:13:39,755 epoch 93 - iter 530/2650 - loss 0.13877319 - samples/sec: 554.80 2019-08-20 02:13:55,258 epoch 93 - iter 795/2650 - loss 0.13950052 - samples/sec: 551.22 2019-08-20 02:14:11,168 epoch 93 - iter 1060/2650 - loss 0.13988965 - samples/sec: 536.98 2019-08-20 02:14:26,883 epoch 93 - iter 1325/2650 - loss 0.13896959 - samples/sec: 544.00 2019-08-20 02:14:42,580 epoch 93 - iter 1590/2650 - loss 0.14010349 - samples/sec: 544.50 2019-08-20 02:14:58,002 epoch 93 - iter 1855/2650 - loss 0.13933922 - samples/sec: 554.27 2019-08-20 02:15:13,528 epoch 93 - iter 2120/2650 - loss 0.13920819 - samples/sec: 550.44 2019-08-20 02:15:29,469 epoch 93 - iter 2385/2650 - loss 0.13898481 - samples/sec: 535.92 2019-08-20 02:15:44,828 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:15:44,829 EPOCH 93 done: loss 0.1396 - lr 0.1000 2019-08-20 02:15:44,829 BAD EPOCHS (no improvement): 1 2019-08-20 02:15:44,830 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:15:44,896 epoch 94 - iter 0/2650 - loss 0.10312391 - samples/sec: 141941.49 2019-08-20 02:16:00,414 epoch 94 - iter 265/2650 - loss 0.14085947 - samples/sec: 550.58 2019-08-20 02:16:16,163 epoch 94 - iter 530/2650 - loss 0.13776318 - samples/sec: 542.64 2019-08-20 02:16:31,712 epoch 94 - iter 795/2650 - loss 0.13874695 - samples/sec: 549.64 2019-08-20 02:16:47,535 epoch 94 - iter 1060/2650 - loss 0.13888893 - samples/sec: 539.97 2019-08-20 02:17:03,038 epoch 94 - iter 1325/2650 - loss 0.13840225 - samples/sec: 551.43 2019-08-20 02:17:18,618 epoch 94 - iter 1590/2650 - loss 0.13847752 - samples/sec: 548.57 2019-08-20 02:17:34,122 epoch 94 - iter 1855/2650 - loss 0.13856534 - samples/sec: 551.25 2019-08-20 02:17:49,617 epoch 94 - iter 2120/2650 - loss 0.13820072 - samples/sec: 551.53 2019-08-20 02:18:05,587 epoch 94 - iter 2385/2650 - loss 0.13790226 - samples/sec: 534.96 2019-08-20 02:18:21,084 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:18:21,085 EPOCH 94 done: loss 0.1385 - lr 0.1000 2019-08-20 02:18:21,085 BAD EPOCHS (no improvement): 0 2019-08-20 02:18:21,086 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:18:21,149 epoch 95 - iter 0/2650 - loss 0.22659291 - samples/sec: 145944.51 2019-08-20 02:18:36,599 epoch 95 - iter 265/2650 - loss 0.13771195 - samples/sec: 553.32 2019-08-20 02:18:52,049 epoch 95 - iter 530/2650 - loss 0.13732790 - samples/sec: 553.17 2019-08-20 02:19:07,819 epoch 95 - iter 795/2650 - loss 0.13773914 - samples/sec: 541.86 2019-08-20 02:19:23,270 epoch 95 - iter 1060/2650 - loss 0.13845656 - samples/sec: 553.10 2019-08-20 02:19:39,140 epoch 95 - iter 1325/2650 - loss 0.13734552 - samples/sec: 538.54 2019-08-20 02:19:54,617 epoch 95 - iter 1590/2650 - loss 0.13843019 - samples/sec: 552.60 2019-08-20 02:20:10,019 epoch 95 - iter 1855/2650 - loss 0.13829012 - samples/sec: 555.04 2019-08-20 02:20:25,559 epoch 95 - iter 2120/2650 - loss 0.13841871 - samples/sec: 550.01 2019-08-20 02:20:41,543 epoch 95 - iter 2385/2650 - loss 0.13853765 - samples/sec: 534.50 2019-08-20 02:20:57,180 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:20:57,180 EPOCH 95 done: loss 0.1386 - lr 0.1000 2019-08-20 02:20:57,180 BAD EPOCHS (no improvement): 1 2019-08-20 02:20:57,181 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:20:57,243 epoch 96 - iter 0/2650 - loss 0.14462325 - samples/sec: 148935.97 2019-08-20 02:21:13,055 epoch 96 - iter 265/2650 - loss 0.13517231 - samples/sec: 540.62 2019-08-20 02:21:28,737 epoch 96 - iter 530/2650 - loss 0.13330661 - samples/sec: 545.09 2019-08-20 02:21:44,372 epoch 96 - iter 795/2650 - loss 0.13503575 - samples/sec: 546.60 2019-08-20 02:22:00,066 epoch 96 - iter 1060/2650 - loss 0.13671624 - samples/sec: 544.40 2019-08-20 02:22:15,466 epoch 96 - iter 1325/2650 - loss 0.13653488 - samples/sec: 554.94 2019-08-20 02:22:31,054 epoch 96 - iter 1590/2650 - loss 0.13696049 - samples/sec: 548.42 2019-08-20 02:22:46,569 epoch 96 - iter 1855/2650 - loss 0.13725642 - samples/sec: 550.89 2019-08-20 02:23:02,155 epoch 96 - iter 2120/2650 - loss 0.13714598 - samples/sec: 548.31 2019-08-20 02:23:17,594 epoch 96 - iter 2385/2650 - loss 0.13707197 - samples/sec: 553.63 2019-08-20 02:23:33,322 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:23:33,322 EPOCH 96 done: loss 0.1376 - lr 0.1000 2019-08-20 02:23:33,323 BAD EPOCHS (no improvement): 0 2019-08-20 02:23:33,323 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:23:33,380 epoch 97 - iter 0/2650 - loss 0.11723986 - samples/sec: 163269.92 2019-08-20 02:23:48,885 epoch 97 - iter 265/2650 - loss 0.13226177 - samples/sec: 551.46 2019-08-20 02:24:04,395 epoch 97 - iter 530/2650 - loss 0.13435090 - samples/sec: 551.08 2019-08-20 02:24:20,056 epoch 97 - iter 795/2650 - loss 0.13554297 - samples/sec: 545.69 2019-08-20 02:24:35,645 epoch 97 - iter 1060/2650 - loss 0.13540423 - samples/sec: 548.18 2019-08-20 02:24:51,322 epoch 97 - iter 1325/2650 - loss 0.13561918 - samples/sec: 545.14 2019-08-20 02:25:06,907 epoch 97 - iter 1590/2650 - loss 0.13533488 - samples/sec: 548.56 2019-08-20 02:25:22,525 epoch 97 - iter 1855/2650 - loss 0.13645758 - samples/sec: 547.06 2019-08-20 02:25:38,194 epoch 97 - iter 2120/2650 - loss 0.13649320 - samples/sec: 545.45 2019-08-20 02:25:53,801 epoch 97 - iter 2385/2650 - loss 0.13636269 - samples/sec: 547.51 2019-08-20 02:26:09,550 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:26:09,550 EPOCH 97 done: loss 0.1361 - lr 0.1000 2019-08-20 02:26:09,550 BAD EPOCHS (no improvement): 0 2019-08-20 02:26:09,551 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:26:09,622 epoch 98 - iter 0/2650 - loss 0.10859960 - samples/sec: 131820.58 2019-08-20 02:26:25,247 epoch 98 - iter 265/2650 - loss 0.13666957 - samples/sec: 547.15 2019-08-20 02:26:40,928 epoch 98 - iter 530/2650 - loss 0.13799908 - samples/sec: 545.02 2019-08-20 02:26:56,622 epoch 98 - iter 795/2650 - loss 0.13797678 - samples/sec: 544.56 2019-08-20 02:27:12,358 epoch 98 - iter 1060/2650 - loss 0.13727599 - samples/sec: 543.00 2019-08-20 02:27:28,058 epoch 98 - iter 1325/2650 - loss 0.13671219 - samples/sec: 544.25 2019-08-20 02:27:43,738 epoch 98 - iter 1590/2650 - loss 0.13666028 - samples/sec: 545.24 2019-08-20 02:27:59,232 epoch 98 - iter 1855/2650 - loss 0.13620095 - samples/sec: 551.67 2019-08-20 02:28:14,697 epoch 98 - iter 2120/2650 - loss 0.13580360 - samples/sec: 552.70 2019-08-20 02:28:30,507 epoch 98 - iter 2385/2650 - loss 0.13652376 - samples/sec: 540.51 2019-08-20 02:28:45,985 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:28:45,986 EPOCH 98 done: loss 0.1364 - lr 0.1000 2019-08-20 02:28:45,986 BAD EPOCHS (no improvement): 1 2019-08-20 02:28:45,986 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:28:46,054 epoch 99 - iter 0/2650 - loss 0.16456270 - samples/sec: 131361.48 2019-08-20 02:29:01,696 epoch 99 - iter 265/2650 - loss 0.13544814 - samples/sec: 546.51 2019-08-20 02:29:17,370 epoch 99 - iter 530/2650 - loss 0.13562726 - samples/sec: 545.22 2019-08-20 02:29:33,057 epoch 99 - iter 795/2650 - loss 0.13464006 - samples/sec: 544.93 2019-08-20 02:29:48,998 epoch 99 - iter 1060/2650 - loss 0.13415335 - samples/sec: 536.07 2019-08-20 02:30:04,587 epoch 99 - iter 1325/2650 - loss 0.13497450 - samples/sec: 548.25 2019-08-20 02:30:20,206 epoch 99 - iter 1590/2650 - loss 0.13524781 - samples/sec: 547.23 2019-08-20 02:30:35,946 epoch 99 - iter 1855/2650 - loss 0.13608755 - samples/sec: 543.04 2019-08-20 02:30:51,568 epoch 99 - iter 2120/2650 - loss 0.13576747 - samples/sec: 547.14 2019-08-20 02:31:07,206 epoch 99 - iter 2385/2650 - loss 0.13554329 - samples/sec: 546.47 2019-08-20 02:31:22,511 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:31:22,511 EPOCH 99 done: loss 0.1355 - lr 0.1000 2019-08-20 02:31:22,511 BAD EPOCHS (no improvement): 0 2019-08-20 02:31:22,512 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:31:22,569 epoch 100 - iter 0/2650 - loss 0.10800902 - samples/sec: 164332.04 2019-08-20 02:31:37,445 epoch 100 - iter 265/2650 - loss 0.13033123 - samples/sec: 574.63 2019-08-20 02:31:53,066 epoch 100 - iter 530/2650 - loss 0.13284283 - samples/sec: 547.60 2019-08-20 02:32:08,610 epoch 100 - iter 795/2650 - loss 0.13493330 - samples/sec: 549.81 2019-08-20 02:32:24,389 epoch 100 - iter 1060/2650 - loss 0.13409611 - samples/sec: 541.49 2019-08-20 02:32:40,050 epoch 100 - iter 1325/2650 - loss 0.13470017 - samples/sec: 546.21 2019-08-20 02:32:55,836 epoch 100 - iter 1590/2650 - loss 0.13506392 - samples/sec: 541.46 2019-08-20 02:33:11,203 epoch 100 - iter 1855/2650 - loss 0.13567481 - samples/sec: 556.26 2019-08-20 02:33:26,610 epoch 100 - iter 2120/2650 - loss 0.13606092 - samples/sec: 554.70 2019-08-20 02:33:42,141 epoch 100 - iter 2385/2650 - loss 0.13589777 - samples/sec: 550.22 2019-08-20 02:33:57,813 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:33:57,813 EPOCH 100 done: loss 0.1361 - lr 0.1000 2019-08-20 02:33:57,813 BAD EPOCHS (no improvement): 1 2019-08-20 02:33:57,814 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:33:57,881 epoch 101 - iter 0/2650 - loss 0.10342588 - samples/sec: 139065.61 2019-08-20 02:34:13,524 epoch 101 - iter 265/2650 - loss 0.13687150 - samples/sec: 546.46 2019-08-20 02:34:29,284 epoch 101 - iter 530/2650 - loss 0.13446636 - samples/sec: 542.26 2019-08-20 02:34:45,183 epoch 101 - iter 795/2650 - loss 0.13481183 - samples/sec: 537.57 2019-08-20 02:35:00,703 epoch 101 - iter 1060/2650 - loss 0.13505485 - samples/sec: 550.72 2019-08-20 02:35:16,386 epoch 101 - iter 1325/2650 - loss 0.13513141 - samples/sec: 545.81 2019-08-20 02:35:31,756 epoch 101 - iter 1590/2650 - loss 0.13437270 - samples/sec: 556.27 2019-08-20 02:35:47,419 epoch 101 - iter 1855/2650 - loss 0.13410838 - samples/sec: 545.58 2019-08-20 02:36:02,793 epoch 101 - iter 2120/2650 - loss 0.13377237 - samples/sec: 555.97 2019-08-20 02:36:18,593 epoch 101 - iter 2385/2650 - loss 0.13387739 - samples/sec: 540.86 2019-08-20 02:36:34,122 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:36:34,122 EPOCH 101 done: loss 0.1339 - lr 0.1000 2019-08-20 02:36:34,122 BAD EPOCHS (no improvement): 0 2019-08-20 02:36:34,124 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:36:34,179 epoch 102 - iter 0/2650 - loss 0.17579088 - samples/sec: 168413.24 2019-08-20 02:36:49,887 epoch 102 - iter 265/2650 - loss 0.13276816 - samples/sec: 544.48 2019-08-20 02:37:05,247 epoch 102 - iter 530/2650 - loss 0.13407356 - samples/sec: 556.57 2019-08-20 02:37:20,870 epoch 102 - iter 795/2650 - loss 0.13465557 - samples/sec: 547.06 2019-08-20 02:37:36,336 epoch 102 - iter 1060/2650 - loss 0.13508513 - samples/sec: 552.55 2019-08-20 02:37:51,947 epoch 102 - iter 1325/2650 - loss 0.13586783 - samples/sec: 547.31 2019-08-20 02:38:07,759 epoch 102 - iter 1590/2650 - loss 0.13550015 - samples/sec: 540.64 2019-08-20 02:38:23,391 epoch 102 - iter 1855/2650 - loss 0.13524711 - samples/sec: 546.91 2019-08-20 02:38:39,279 epoch 102 - iter 2120/2650 - loss 0.13517925 - samples/sec: 537.84 2019-08-20 02:38:54,811 epoch 102 - iter 2385/2650 - loss 0.13493883 - samples/sec: 550.18 2019-08-20 02:39:10,420 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:39:10,420 EPOCH 102 done: loss 0.1348 - lr 0.1000 2019-08-20 02:39:10,420 BAD EPOCHS (no improvement): 1 2019-08-20 02:39:10,422 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:39:10,479 epoch 103 - iter 0/2650 - loss 0.14091110 - samples/sec: 160853.92 2019-08-20 02:39:26,221 epoch 103 - iter 265/2650 - loss 0.13228974 - samples/sec: 543.39 2019-08-20 02:39:41,749 epoch 103 - iter 530/2650 - loss 0.13301700 - samples/sec: 550.50 2019-08-20 02:39:57,158 epoch 103 - iter 795/2650 - loss 0.13278205 - samples/sec: 554.63 2019-08-20 02:40:12,641 epoch 103 - iter 1060/2650 - loss 0.13240837 - samples/sec: 552.00 2019-08-20 02:40:28,360 epoch 103 - iter 1325/2650 - loss 0.13230701 - samples/sec: 543.46 2019-08-20 02:40:43,975 epoch 103 - iter 1590/2650 - loss 0.13210099 - samples/sec: 547.45 2019-08-20 02:40:59,527 epoch 103 - iter 1855/2650 - loss 0.13219142 - samples/sec: 549.72 2019-08-20 02:41:15,120 epoch 103 - iter 2120/2650 - loss 0.13206703 - samples/sec: 548.04 2019-08-20 02:41:31,139 epoch 103 - iter 2385/2650 - loss 0.13210665 - samples/sec: 533.31 2019-08-20 02:41:46,696 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:41:46,697 EPOCH 103 done: loss 0.1322 - lr 0.1000 2019-08-20 02:41:46,697 BAD EPOCHS (no improvement): 0 2019-08-20 02:41:46,698 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:41:46,753 epoch 104 - iter 0/2650 - loss 0.11070710 - samples/sec: 164940.17 2019-08-20 02:42:02,116 epoch 104 - iter 265/2650 - loss 0.13160012 - samples/sec: 556.30 2019-08-20 02:42:17,787 epoch 104 - iter 530/2650 - loss 0.13388762 - samples/sec: 545.47 2019-08-20 02:42:33,538 epoch 104 - iter 795/2650 - loss 0.13399212 - samples/sec: 542.62 2019-08-20 02:42:49,177 epoch 104 - iter 1060/2650 - loss 0.13365786 - samples/sec: 546.53 2019-08-20 02:43:04,851 epoch 104 - iter 1325/2650 - loss 0.13398476 - samples/sec: 545.15 2019-08-20 02:43:20,796 epoch 104 - iter 1590/2650 - loss 0.13338608 - samples/sec: 535.91 2019-08-20 02:43:36,207 epoch 104 - iter 1855/2650 - loss 0.13407085 - samples/sec: 554.75 2019-08-20 02:43:51,617 epoch 104 - iter 2120/2650 - loss 0.13379069 - samples/sec: 554.76 2019-08-20 02:44:07,426 epoch 104 - iter 2385/2650 - loss 0.13388936 - samples/sec: 540.48 2019-08-20 02:44:22,896 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:44:22,897 EPOCH 104 done: loss 0.1339 - lr 0.1000 2019-08-20 02:44:22,897 BAD EPOCHS (no improvement): 1 2019-08-20 02:44:22,898 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:44:22,982 epoch 105 - iter 0/2650 - loss 0.10665163 - samples/sec: 107899.59 2019-08-20 02:44:38,743 epoch 105 - iter 265/2650 - loss 0.13102731 - samples/sec: 542.19 2019-08-20 02:44:54,191 epoch 105 - iter 530/2650 - loss 0.13113252 - samples/sec: 553.37 2019-08-20 02:45:10,029 epoch 105 - iter 795/2650 - loss 0.13097214 - samples/sec: 539.61 2019-08-20 02:45:25,526 epoch 105 - iter 1060/2650 - loss 0.13111299 - samples/sec: 551.45 2019-08-20 02:45:41,101 epoch 105 - iter 1325/2650 - loss 0.13193762 - samples/sec: 548.66 2019-08-20 02:45:56,804 epoch 105 - iter 1590/2650 - loss 0.13220465 - samples/sec: 544.22 2019-08-20 02:46:12,403 epoch 105 - iter 1855/2650 - loss 0.13151702 - samples/sec: 547.94 2019-08-20 02:46:28,040 epoch 105 - iter 2120/2650 - loss 0.13127404 - samples/sec: 546.56 2019-08-20 02:46:43,526 epoch 105 - iter 2385/2650 - loss 0.13167676 - samples/sec: 551.84 2019-08-20 02:46:59,221 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:46:59,222 EPOCH 105 done: loss 0.1318 - lr 0.1000 2019-08-20 02:46:59,222 BAD EPOCHS (no improvement): 0 2019-08-20 02:46:59,223 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:46:59,276 epoch 106 - iter 0/2650 - loss 0.11763535 - samples/sec: 179628.49 2019-08-20 02:47:14,938 epoch 106 - iter 265/2650 - loss 0.13830553 - samples/sec: 545.60 2019-08-20 02:47:30,403 epoch 106 - iter 530/2650 - loss 0.13450129 - samples/sec: 552.82 2019-08-20 02:47:45,891 epoch 106 - iter 795/2650 - loss 0.13091871 - samples/sec: 551.81 2019-08-20 02:48:01,459 epoch 106 - iter 1060/2650 - loss 0.13081764 - samples/sec: 548.88 2019-08-20 02:48:17,079 epoch 106 - iter 1325/2650 - loss 0.13088705 - samples/sec: 547.12 2019-08-20 02:48:33,069 epoch 106 - iter 1590/2650 - loss 0.13241377 - samples/sec: 534.29 2019-08-20 02:48:48,629 epoch 106 - iter 1855/2650 - loss 0.13179044 - samples/sec: 549.58 2019-08-20 02:49:04,245 epoch 106 - iter 2120/2650 - loss 0.13203722 - samples/sec: 547.41 2019-08-20 02:49:19,801 epoch 106 - iter 2385/2650 - loss 0.13206357 - samples/sec: 549.33 2019-08-20 02:49:35,461 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:49:35,462 EPOCH 106 done: loss 0.1325 - lr 0.1000 2019-08-20 02:49:35,462 BAD EPOCHS (no improvement): 1 2019-08-20 02:49:35,463 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:49:35,527 epoch 107 - iter 0/2650 - loss 0.08373642 - samples/sec: 144531.85 2019-08-20 02:49:51,247 epoch 107 - iter 265/2650 - loss 0.13003890 - samples/sec: 543.42 2019-08-20 02:50:06,820 epoch 107 - iter 530/2650 - loss 0.13127979 - samples/sec: 548.89 2019-08-20 02:50:22,231 epoch 107 - iter 795/2650 - loss 0.13049966 - samples/sec: 554.69 2019-08-20 02:50:37,864 epoch 107 - iter 1060/2650 - loss 0.12966869 - samples/sec: 546.61 2019-08-20 02:50:53,665 epoch 107 - iter 1325/2650 - loss 0.13135317 - samples/sec: 540.74 2019-08-20 02:51:09,319 epoch 107 - iter 1590/2650 - loss 0.13200197 - samples/sec: 545.85 2019-08-20 02:51:24,841 epoch 107 - iter 1855/2650 - loss 0.13160152 - samples/sec: 550.78 2019-08-20 02:51:40,652 epoch 107 - iter 2120/2650 - loss 0.13195964 - samples/sec: 540.53 2019-08-20 02:51:56,386 epoch 107 - iter 2385/2650 - loss 0.13220081 - samples/sec: 543.12 2019-08-20 02:52:12,098 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:52:12,098 EPOCH 107 done: loss 0.1320 - lr 0.1000 2019-08-20 02:52:12,098 BAD EPOCHS (no improvement): 2 2019-08-20 02:52:12,100 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:52:12,165 epoch 108 - iter 0/2650 - loss 0.14192571 - samples/sec: 139813.98 2019-08-20 02:52:27,721 epoch 108 - iter 265/2650 - loss 0.13352743 - samples/sec: 549.18 2019-08-20 02:52:43,363 epoch 108 - iter 530/2650 - loss 0.13155457 - samples/sec: 546.53 2019-08-20 02:52:58,872 epoch 108 - iter 795/2650 - loss 0.13104193 - samples/sec: 551.12 2019-08-20 02:53:14,557 epoch 108 - iter 1060/2650 - loss 0.13154656 - samples/sec: 544.82 2019-08-20 02:53:30,286 epoch 108 - iter 1325/2650 - loss 0.13119334 - samples/sec: 543.29 2019-08-20 02:53:46,059 epoch 108 - iter 1590/2650 - loss 0.13182361 - samples/sec: 541.62 2019-08-20 02:54:01,818 epoch 108 - iter 1855/2650 - loss 0.13172535 - samples/sec: 542.47 2019-08-20 02:54:17,691 epoch 108 - iter 2120/2650 - loss 0.13163855 - samples/sec: 538.27 2019-08-20 02:54:33,217 epoch 108 - iter 2385/2650 - loss 0.13134634 - samples/sec: 550.29 2019-08-20 02:54:48,631 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:54:48,632 EPOCH 108 done: loss 0.1313 - lr 0.1000 2019-08-20 02:54:48,632 BAD EPOCHS (no improvement): 0 2019-08-20 02:54:48,633 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:54:48,689 epoch 109 - iter 0/2650 - loss 0.12818643 - samples/sec: 164399.64 2019-08-20 02:55:04,381 epoch 109 - iter 265/2650 - loss 0.12898021 - samples/sec: 544.17 2019-08-20 02:55:19,989 epoch 109 - iter 530/2650 - loss 0.13072891 - samples/sec: 547.70 2019-08-20 02:55:35,477 epoch 109 - iter 795/2650 - loss 0.13141698 - samples/sec: 551.79 2019-08-20 02:55:51,263 epoch 109 - iter 1060/2650 - loss 0.13147529 - samples/sec: 541.08 2019-08-20 02:56:06,754 epoch 109 - iter 1325/2650 - loss 0.12974942 - samples/sec: 551.59 2019-08-20 02:56:22,566 epoch 109 - iter 1590/2650 - loss 0.13028052 - samples/sec: 539.99 2019-08-20 02:56:38,032 epoch 109 - iter 1855/2650 - loss 0.12938241 - samples/sec: 554.62 2019-08-20 02:56:53,761 epoch 109 - iter 2120/2650 - loss 0.12966718 - samples/sec: 543.21 2019-08-20 02:57:09,584 epoch 109 - iter 2385/2650 - loss 0.12909395 - samples/sec: 539.89 2019-08-20 02:57:24,980 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:57:24,980 EPOCH 109 done: loss 0.1294 - lr 0.1000 2019-08-20 02:57:24,980 BAD EPOCHS (no improvement): 0 2019-08-20 02:57:24,981 ---------------------------------------------------------------------------------------------------- 2019-08-20 02:57:25,038 epoch 110 - iter 0/2650 - loss 0.10599811 - samples/sec: 162386.59 2019-08-20 02:57:40,584 epoch 110 - iter 265/2650 - loss 0.12892470 - samples/sec: 549.52 2019-08-20 02:57:56,191 epoch 110 - iter 530/2650 - loss 0.12784712 - samples/sec: 547.42 2019-08-20 02:58:11,706 epoch 110 - iter 795/2650 - loss 0.12774554 - samples/sec: 550.83 2019-08-20 02:58:27,238 epoch 110 - iter 1060/2650 - loss 0.12833139 - samples/sec: 549.97 2019-08-20 02:58:42,525 epoch 110 - iter 1325/2650 - loss 0.12815675 - samples/sec: 558.81 2019-08-20 02:58:58,297 epoch 110 - iter 1590/2650 - loss 0.12892940 - samples/sec: 541.58 2019-08-20 02:59:13,878 epoch 110 - iter 1855/2650 - loss 0.12865501 - samples/sec: 548.29 2019-08-20 02:59:29,491 epoch 110 - iter 2120/2650 - loss 0.12902701 - samples/sec: 547.23 2019-08-20 02:59:45,172 epoch 110 - iter 2385/2650 - loss 0.12984599 - samples/sec: 544.70 2019-08-20 03:00:00,833 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:00:00,833 EPOCH 110 done: loss 0.1295 - lr 0.1000 2019-08-20 03:00:00,833 BAD EPOCHS (no improvement): 1 2019-08-20 03:00:00,834 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:00:00,889 epoch 111 - iter 0/2650 - loss 0.15146784 - samples/sec: 167453.05 2019-08-20 03:00:16,675 epoch 111 - iter 265/2650 - loss 0.13107189 - samples/sec: 541.00 2019-08-20 03:00:32,091 epoch 111 - iter 530/2650 - loss 0.13321382 - samples/sec: 554.39 2019-08-20 03:00:47,621 epoch 111 - iter 795/2650 - loss 0.13196923 - samples/sec: 550.12 2019-08-20 03:01:03,420 epoch 111 - iter 1060/2650 - loss 0.13178694 - samples/sec: 540.70 2019-08-20 03:01:18,863 epoch 111 - iter 1325/2650 - loss 0.13054361 - samples/sec: 553.23 2019-08-20 03:01:34,592 epoch 111 - iter 1590/2650 - loss 0.12976668 - samples/sec: 543.14 2019-08-20 03:01:50,145 epoch 111 - iter 1855/2650 - loss 0.12954192 - samples/sec: 549.38 2019-08-20 03:02:05,512 epoch 111 - iter 2120/2650 - loss 0.13075373 - samples/sec: 556.09 2019-08-20 03:02:21,293 epoch 111 - iter 2385/2650 - loss 0.13061608 - samples/sec: 541.32 2019-08-20 03:02:36,851 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:02:36,851 EPOCH 111 done: loss 0.1308 - lr 0.1000 2019-08-20 03:02:36,851 BAD EPOCHS (no improvement): 2 2019-08-20 03:02:36,852 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:02:36,913 epoch 112 - iter 0/2650 - loss 0.12111050 - samples/sec: 147610.76 2019-08-20 03:02:52,280 epoch 112 - iter 265/2650 - loss 0.12890150 - samples/sec: 555.96 2019-08-20 03:03:07,871 epoch 112 - iter 530/2650 - loss 0.12919811 - samples/sec: 547.99 2019-08-20 03:03:23,520 epoch 112 - iter 795/2650 - loss 0.13127333 - samples/sec: 545.79 2019-08-20 03:03:39,121 epoch 112 - iter 1060/2650 - loss 0.13119748 - samples/sec: 548.28 2019-08-20 03:03:55,025 epoch 112 - iter 1325/2650 - loss 0.13104327 - samples/sec: 536.89 2019-08-20 03:04:10,720 epoch 112 - iter 1590/2650 - loss 0.13080866 - samples/sec: 544.11 2019-08-20 03:04:26,742 epoch 112 - iter 1855/2650 - loss 0.13056439 - samples/sec: 533.22 2019-08-20 03:04:42,337 epoch 112 - iter 2120/2650 - loss 0.13045779 - samples/sec: 548.00 2019-08-20 03:04:57,833 epoch 112 - iter 2385/2650 - loss 0.13046238 - samples/sec: 551.37 2019-08-20 03:05:13,180 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:05:13,181 EPOCH 112 done: loss 0.1305 - lr 0.1000 2019-08-20 03:05:13,181 BAD EPOCHS (no improvement): 3 2019-08-20 03:05:13,182 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:05:13,240 epoch 113 - iter 0/2650 - loss 0.16794784 - samples/sec: 160683.88 2019-08-20 03:05:28,903 epoch 113 - iter 265/2650 - loss 0.12367422 - samples/sec: 545.28 2019-08-20 03:05:44,721 epoch 113 - iter 530/2650 - loss 0.12523295 - samples/sec: 540.01 2019-08-20 03:06:00,276 epoch 113 - iter 795/2650 - loss 0.12717818 - samples/sec: 549.30 2019-08-20 03:06:15,810 epoch 113 - iter 1060/2650 - loss 0.12915965 - samples/sec: 550.10 2019-08-20 03:06:31,519 epoch 113 - iter 1325/2650 - loss 0.12852499 - samples/sec: 543.87 2019-08-20 03:06:47,075 epoch 113 - iter 1590/2650 - loss 0.12884807 - samples/sec: 549.19 2019-08-20 03:07:02,715 epoch 113 - iter 1855/2650 - loss 0.12889423 - samples/sec: 546.23 2019-08-20 03:07:18,580 epoch 113 - iter 2120/2650 - loss 0.12906931 - samples/sec: 538.69 2019-08-20 03:07:34,167 epoch 113 - iter 2385/2650 - loss 0.12877780 - samples/sec: 548.04 2019-08-20 03:07:49,597 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:07:49,597 EPOCH 113 done: loss 0.1289 - lr 0.1000 2019-08-20 03:07:49,597 BAD EPOCHS (no improvement): 0 2019-08-20 03:07:49,598 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:07:49,658 epoch 114 - iter 0/2650 - loss 0.19821434 - samples/sec: 155077.05 2019-08-20 03:08:05,325 epoch 114 - iter 265/2650 - loss 0.13106660 - samples/sec: 545.38 2019-08-20 03:08:20,941 epoch 114 - iter 530/2650 - loss 0.13087086 - samples/sec: 547.07 2019-08-20 03:08:36,513 epoch 114 - iter 795/2650 - loss 0.12913822 - samples/sec: 548.68 2019-08-20 03:08:52,008 epoch 114 - iter 1060/2650 - loss 0.12899526 - samples/sec: 551.52 2019-08-20 03:09:07,675 epoch 114 - iter 1325/2650 - loss 0.12885761 - samples/sec: 545.21 2019-08-20 03:09:23,254 epoch 114 - iter 1590/2650 - loss 0.12894886 - samples/sec: 548.35 2019-08-20 03:09:39,149 epoch 114 - iter 1855/2650 - loss 0.12840219 - samples/sec: 537.45 2019-08-20 03:09:54,701 epoch 114 - iter 2120/2650 - loss 0.12842375 - samples/sec: 549.50 2019-08-20 03:10:10,253 epoch 114 - iter 2385/2650 - loss 0.12879177 - samples/sec: 549.36 2019-08-20 03:10:25,727 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:10:25,727 EPOCH 114 done: loss 0.1289 - lr 0.1000 2019-08-20 03:10:25,728 BAD EPOCHS (no improvement): 1 2019-08-20 03:10:25,728 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:10:25,791 epoch 115 - iter 0/2650 - loss 0.13888049 - samples/sec: 141212.83 2019-08-20 03:10:41,289 epoch 115 - iter 265/2650 - loss 0.13026980 - samples/sec: 551.15 2019-08-20 03:10:57,022 epoch 115 - iter 530/2650 - loss 0.12750413 - samples/sec: 542.93 2019-08-20 03:11:12,301 epoch 115 - iter 795/2650 - loss 0.12687019 - samples/sec: 559.43 2019-08-20 03:11:27,907 epoch 115 - iter 1060/2650 - loss 0.12745273 - samples/sec: 547.30 2019-08-20 03:11:43,581 epoch 115 - iter 1325/2650 - loss 0.12708393 - samples/sec: 545.02 2019-08-20 03:11:59,289 epoch 115 - iter 1590/2650 - loss 0.12875610 - samples/sec: 543.67 2019-08-20 03:12:15,023 epoch 115 - iter 1855/2650 - loss 0.12781499 - samples/sec: 542.84 2019-08-20 03:12:30,653 epoch 115 - iter 2120/2650 - loss 0.12796410 - samples/sec: 546.88 2019-08-20 03:12:46,379 epoch 115 - iter 2385/2650 - loss 0.12798059 - samples/sec: 543.43 2019-08-20 03:13:01,938 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:13:01,938 EPOCH 115 done: loss 0.1286 - lr 0.1000 2019-08-20 03:13:01,938 BAD EPOCHS (no improvement): 0 2019-08-20 03:13:01,939 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:13:02,001 epoch 116 - iter 0/2650 - loss 0.10951979 - samples/sec: 152221.84 2019-08-20 03:13:17,419 epoch 116 - iter 265/2650 - loss 0.12359239 - samples/sec: 554.16 2019-08-20 03:13:33,175 epoch 116 - iter 530/2650 - loss 0.12759647 - samples/sec: 541.96 2019-08-20 03:13:47,553 epoch 116 - iter 795/2650 - loss 0.12691132 - samples/sec: 594.28 2019-08-20 03:14:03,141 epoch 116 - iter 1060/2650 - loss 0.12721900 - samples/sec: 548.25 2019-08-20 03:14:18,659 epoch 116 - iter 1325/2650 - loss 0.12679910 - samples/sec: 550.37 2019-08-20 03:14:34,386 epoch 116 - iter 1590/2650 - loss 0.12777280 - samples/sec: 543.19 2019-08-20 03:14:50,132 epoch 116 - iter 1855/2650 - loss 0.12719400 - samples/sec: 542.77 2019-08-20 03:15:05,700 epoch 116 - iter 2120/2650 - loss 0.12694447 - samples/sec: 548.99 2019-08-20 03:15:21,220 epoch 116 - iter 2385/2650 - loss 0.12635476 - samples/sec: 550.52 2019-08-20 03:15:36,885 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:15:36,885 EPOCH 116 done: loss 0.1263 - lr 0.1000 2019-08-20 03:15:36,885 BAD EPOCHS (no improvement): 0 2019-08-20 03:15:36,886 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:15:36,950 epoch 117 - iter 0/2650 - loss 0.10271937 - samples/sec: 144024.43 2019-08-20 03:15:52,555 epoch 117 - iter 265/2650 - loss 0.12982995 - samples/sec: 547.33 2019-08-20 03:16:08,387 epoch 117 - iter 530/2650 - loss 0.12889124 - samples/sec: 539.37 2019-08-20 03:16:23,878 epoch 117 - iter 795/2650 - loss 0.12703218 - samples/sec: 551.63 2019-08-20 03:16:39,345 epoch 117 - iter 1060/2650 - loss 0.12647640 - samples/sec: 552.65 2019-08-20 03:16:55,061 epoch 117 - iter 1325/2650 - loss 0.12668977 - samples/sec: 543.89 2019-08-20 03:17:10,697 epoch 117 - iter 1590/2650 - loss 0.12681155 - samples/sec: 546.45 2019-08-20 03:17:26,488 epoch 117 - iter 1855/2650 - loss 0.12758244 - samples/sec: 541.02 2019-08-20 03:17:42,014 epoch 117 - iter 2120/2650 - loss 0.12780929 - samples/sec: 550.71 2019-08-20 03:17:57,570 epoch 117 - iter 2385/2650 - loss 0.12752631 - samples/sec: 549.40 2019-08-20 03:18:12,961 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:18:12,962 EPOCH 117 done: loss 0.1278 - lr 0.1000 2019-08-20 03:18:12,962 BAD EPOCHS (no improvement): 1 2019-08-20 03:18:12,962 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:18:13,016 epoch 118 - iter 0/2650 - loss 0.13629960 - samples/sec: 172131.47 2019-08-20 03:18:28,483 epoch 118 - iter 265/2650 - loss 0.12737996 - samples/sec: 552.61 2019-08-20 03:18:43,941 epoch 118 - iter 530/2650 - loss 0.12797714 - samples/sec: 552.72 2019-08-20 03:18:59,686 epoch 118 - iter 795/2650 - loss 0.12801388 - samples/sec: 542.65 2019-08-20 03:19:15,461 epoch 118 - iter 1060/2650 - loss 0.12685165 - samples/sec: 542.10 2019-08-20 03:19:31,266 epoch 118 - iter 1325/2650 - loss 0.12716889 - samples/sec: 540.62 2019-08-20 03:19:46,902 epoch 118 - iter 1590/2650 - loss 0.12741654 - samples/sec: 546.54 2019-08-20 03:20:02,514 epoch 118 - iter 1855/2650 - loss 0.12758673 - samples/sec: 547.31 2019-08-20 03:20:18,204 epoch 118 - iter 2120/2650 - loss 0.12755532 - samples/sec: 544.63 2019-08-20 03:20:33,647 epoch 118 - iter 2385/2650 - loss 0.12682974 - samples/sec: 553.49 2019-08-20 03:20:49,136 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:20:49,137 EPOCH 118 done: loss 0.1267 - lr 0.1000 2019-08-20 03:20:49,137 BAD EPOCHS (no improvement): 2 2019-08-20 03:20:49,138 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:20:49,204 epoch 119 - iter 0/2650 - loss 0.09639050 - samples/sec: 135351.62 2019-08-20 03:21:04,910 epoch 119 - iter 265/2650 - loss 0.12547427 - samples/sec: 543.77 2019-08-20 03:21:19,384 epoch 119 - iter 530/2650 - loss 0.12833527 - samples/sec: 594.71 2019-08-20 03:21:33,662 epoch 119 - iter 795/2650 - loss 0.12758209 - samples/sec: 598.10 2019-08-20 03:21:48,017 epoch 119 - iter 1060/2650 - loss 0.12886284 - samples/sec: 595.11 2019-08-20 03:22:02,262 epoch 119 - iter 1325/2650 - loss 0.12794227 - samples/sec: 600.38 2019-08-20 03:22:17,202 epoch 119 - iter 1590/2650 - loss 0.12799410 - samples/sec: 571.69 2019-08-20 03:22:33,047 epoch 119 - iter 1855/2650 - loss 0.12699591 - samples/sec: 539.10 2019-08-20 03:22:48,785 epoch 119 - iter 2120/2650 - loss 0.12703530 - samples/sec: 543.19 2019-08-20 03:23:04,295 epoch 119 - iter 2385/2650 - loss 0.12708147 - samples/sec: 550.96 2019-08-20 03:23:19,860 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:23:19,860 EPOCH 119 done: loss 0.1268 - lr 0.1000 2019-08-20 03:23:19,860 BAD EPOCHS (no improvement): 3 2019-08-20 03:23:19,861 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:23:19,921 epoch 120 - iter 0/2650 - loss 0.13248938 - samples/sec: 151495.02 2019-08-20 03:23:35,329 epoch 120 - iter 265/2650 - loss 0.12465791 - samples/sec: 554.45 2019-08-20 03:23:50,990 epoch 120 - iter 530/2650 - loss 0.12473472 - samples/sec: 545.51 2019-08-20 03:24:06,431 epoch 120 - iter 795/2650 - loss 0.12545813 - samples/sec: 553.69 2019-08-20 03:24:22,057 epoch 120 - iter 1060/2650 - loss 0.12673525 - samples/sec: 546.77 2019-08-20 03:24:37,742 epoch 120 - iter 1325/2650 - loss 0.12609250 - samples/sec: 544.77 2019-08-20 03:24:53,432 epoch 120 - iter 1590/2650 - loss 0.12613524 - samples/sec: 544.61 2019-08-20 03:25:09,265 epoch 120 - iter 1855/2650 - loss 0.12647689 - samples/sec: 539.52 2019-08-20 03:25:24,972 epoch 120 - iter 2120/2650 - loss 0.12647663 - samples/sec: 544.03 2019-08-20 03:25:40,414 epoch 120 - iter 2385/2650 - loss 0.12627069 - samples/sec: 553.50 2019-08-20 03:25:55,880 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:25:55,880 EPOCH 120 done: loss 0.1262 - lr 0.1000 2019-08-20 03:25:55,880 BAD EPOCHS (no improvement): 0 2019-08-20 03:25:55,881 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:25:55,940 epoch 121 - iter 0/2650 - loss 0.10822323 - samples/sec: 158570.58 2019-08-20 03:26:11,722 epoch 121 - iter 265/2650 - loss 0.12180001 - samples/sec: 541.22 2019-08-20 03:26:27,389 epoch 121 - iter 530/2650 - loss 0.12334250 - samples/sec: 545.36 2019-08-20 03:26:42,948 epoch 121 - iter 795/2650 - loss 0.12428787 - samples/sec: 549.27 2019-08-20 03:26:58,587 epoch 121 - iter 1060/2650 - loss 0.12474779 - samples/sec: 546.52 2019-08-20 03:27:14,113 epoch 121 - iter 1325/2650 - loss 0.12412501 - samples/sec: 550.33 2019-08-20 03:27:29,573 epoch 121 - iter 1590/2650 - loss 0.12470560 - samples/sec: 552.67 2019-08-20 03:27:45,498 epoch 121 - iter 1855/2650 - loss 0.12475572 - samples/sec: 536.27 2019-08-20 03:28:01,431 epoch 121 - iter 2120/2650 - loss 0.12488784 - samples/sec: 536.20 2019-08-20 03:28:16,967 epoch 121 - iter 2385/2650 - loss 0.12530004 - samples/sec: 549.98 2019-08-20 03:28:32,348 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:28:32,349 EPOCH 121 done: loss 0.1252 - lr 0.1000 2019-08-20 03:28:32,349 BAD EPOCHS (no improvement): 0 2019-08-20 03:28:32,350 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:28:32,408 epoch 122 - iter 0/2650 - loss 0.07788239 - samples/sec: 158250.98 2019-08-20 03:28:48,201 epoch 122 - iter 265/2650 - loss 0.12467285 - samples/sec: 540.77 2019-08-20 03:29:03,723 epoch 122 - iter 530/2650 - loss 0.12307362 - samples/sec: 550.49 2019-08-20 03:29:19,534 epoch 122 - iter 795/2650 - loss 0.12206292 - samples/sec: 540.45 2019-08-20 03:29:34,783 epoch 122 - iter 1060/2650 - loss 0.12405969 - samples/sec: 560.29 2019-08-20 03:29:50,177 epoch 122 - iter 1325/2650 - loss 0.12439114 - samples/sec: 555.20 2019-08-20 03:30:05,895 epoch 122 - iter 1590/2650 - loss 0.12487352 - samples/sec: 543.53 2019-08-20 03:30:21,700 epoch 122 - iter 1855/2650 - loss 0.12509734 - samples/sec: 540.54 2019-08-20 03:30:37,567 epoch 122 - iter 2120/2650 - loss 0.12474672 - samples/sec: 538.42 2019-08-20 03:30:53,037 epoch 122 - iter 2385/2650 - loss 0.12489713 - samples/sec: 552.70 2019-08-20 03:31:08,579 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:31:08,579 EPOCH 122 done: loss 0.1250 - lr 0.1000 2019-08-20 03:31:08,580 BAD EPOCHS (no improvement): 0 2019-08-20 03:31:08,580 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:31:08,634 epoch 123 - iter 0/2650 - loss 0.14321569 - samples/sec: 170706.38 2019-08-20 03:31:24,131 epoch 123 - iter 265/2650 - loss 0.12789027 - samples/sec: 551.52 2019-08-20 03:31:39,555 epoch 123 - iter 530/2650 - loss 0.12580434 - samples/sec: 553.89 2019-08-20 03:31:54,974 epoch 123 - iter 795/2650 - loss 0.12577662 - samples/sec: 554.10 2019-08-20 03:32:10,764 epoch 123 - iter 1060/2650 - loss 0.12711449 - samples/sec: 541.29 2019-08-20 03:32:26,473 epoch 123 - iter 1325/2650 - loss 0.12650332 - samples/sec: 544.10 2019-08-20 03:32:42,113 epoch 123 - iter 1590/2650 - loss 0.12553395 - samples/sec: 546.39 2019-08-20 03:32:57,706 epoch 123 - iter 1855/2650 - loss 0.12481679 - samples/sec: 547.92 2019-08-20 03:33:13,163 epoch 123 - iter 2120/2650 - loss 0.12493668 - samples/sec: 552.98 2019-08-20 03:33:28,871 epoch 123 - iter 2385/2650 - loss 0.12542172 - samples/sec: 544.17 2019-08-20 03:33:44,520 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:33:44,521 EPOCH 123 done: loss 0.1253 - lr 0.1000 2019-08-20 03:33:44,521 BAD EPOCHS (no improvement): 1 2019-08-20 03:33:44,521 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:33:44,569 epoch 124 - iter 0/2650 - loss 0.21911481 - samples/sec: 195290.64 2019-08-20 03:34:00,122 epoch 124 - iter 265/2650 - loss 0.12251302 - samples/sec: 549.26 2019-08-20 03:34:15,733 epoch 124 - iter 530/2650 - loss 0.12478941 - samples/sec: 547.16 2019-08-20 03:34:31,283 epoch 124 - iter 795/2650 - loss 0.12462978 - samples/sec: 549.52 2019-08-20 03:34:46,897 epoch 124 - iter 1060/2650 - loss 0.12378693 - samples/sec: 547.10 2019-08-20 03:35:02,337 epoch 124 - iter 1325/2650 - loss 0.12466024 - samples/sec: 553.44 2019-08-20 03:35:17,985 epoch 124 - iter 1590/2650 - loss 0.12466473 - samples/sec: 545.66 2019-08-20 03:35:33,946 epoch 124 - iter 1855/2650 - loss 0.12464298 - samples/sec: 535.07 2019-08-20 03:35:49,751 epoch 124 - iter 2120/2650 - loss 0.12490157 - samples/sec: 540.47 2019-08-20 03:36:05,377 epoch 124 - iter 2385/2650 - loss 0.12479774 - samples/sec: 546.97 2019-08-20 03:36:20,760 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:36:20,760 EPOCH 124 done: loss 0.1249 - lr 0.1000 2019-08-20 03:36:20,760 BAD EPOCHS (no improvement): 0 2019-08-20 03:36:20,761 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:36:20,821 epoch 125 - iter 0/2650 - loss 0.19313809 - samples/sec: 152607.84 2019-08-20 03:36:36,222 epoch 125 - iter 265/2650 - loss 0.12168821 - samples/sec: 554.85 2019-08-20 03:36:51,684 epoch 125 - iter 530/2650 - loss 0.12396470 - samples/sec: 552.32 2019-08-20 03:37:07,446 epoch 125 - iter 795/2650 - loss 0.12462432 - samples/sec: 542.09 2019-08-20 03:37:22,904 epoch 125 - iter 1060/2650 - loss 0.12388767 - samples/sec: 552.93 2019-08-20 03:37:38,411 epoch 125 - iter 1325/2650 - loss 0.12326950 - samples/sec: 551.24 2019-08-20 03:37:54,125 epoch 125 - iter 1590/2650 - loss 0.12324276 - samples/sec: 543.65 2019-08-20 03:38:09,919 epoch 125 - iter 1855/2650 - loss 0.12379270 - samples/sec: 540.88 2019-08-20 03:38:25,863 epoch 125 - iter 2120/2650 - loss 0.12384237 - samples/sec: 535.64 2019-08-20 03:38:41,556 epoch 125 - iter 2385/2650 - loss 0.12380544 - samples/sec: 544.61 2019-08-20 03:38:57,001 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:38:57,001 EPOCH 125 done: loss 0.1235 - lr 0.1000 2019-08-20 03:38:57,002 BAD EPOCHS (no improvement): 0 2019-08-20 03:38:57,002 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:38:57,079 epoch 126 - iter 0/2650 - loss 0.07421859 - samples/sec: 119403.98 2019-08-20 03:39:12,611 epoch 126 - iter 265/2650 - loss 0.12572821 - samples/sec: 550.04 2019-08-20 03:39:28,129 epoch 126 - iter 530/2650 - loss 0.12511997 - samples/sec: 550.53 2019-08-20 03:39:43,865 epoch 126 - iter 795/2650 - loss 0.12415954 - samples/sec: 543.07 2019-08-20 03:39:59,679 epoch 126 - iter 1060/2650 - loss 0.12400891 - samples/sec: 540.39 2019-08-20 03:40:15,193 epoch 126 - iter 1325/2650 - loss 0.12420304 - samples/sec: 550.80 2019-08-20 03:40:30,887 epoch 126 - iter 1590/2650 - loss 0.12366792 - samples/sec: 544.55 2019-08-20 03:40:46,434 epoch 126 - iter 1855/2650 - loss 0.12325067 - samples/sec: 549.40 2019-08-20 03:41:02,152 epoch 126 - iter 2120/2650 - loss 0.12328707 - samples/sec: 543.65 2019-08-20 03:41:17,837 epoch 126 - iter 2385/2650 - loss 0.12336307 - samples/sec: 544.89 2019-08-20 03:41:33,480 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:41:33,481 EPOCH 126 done: loss 0.1236 - lr 0.1000 2019-08-20 03:41:33,481 BAD EPOCHS (no improvement): 1 2019-08-20 03:41:33,482 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:41:33,550 epoch 127 - iter 0/2650 - loss 0.24426378 - samples/sec: 133630.76 2019-08-20 03:41:48,974 epoch 127 - iter 265/2650 - loss 0.12123199 - samples/sec: 553.89 2019-08-20 03:42:04,972 epoch 127 - iter 530/2650 - loss 0.12330180 - samples/sec: 533.94 2019-08-20 03:42:20,749 epoch 127 - iter 795/2650 - loss 0.12299986 - samples/sec: 541.49 2019-08-20 03:42:36,282 epoch 127 - iter 1060/2650 - loss 0.12288221 - samples/sec: 550.08 2019-08-20 03:42:51,765 epoch 127 - iter 1325/2650 - loss 0.12212834 - samples/sec: 551.91 2019-08-20 03:43:07,756 epoch 127 - iter 1590/2650 - loss 0.12216049 - samples/sec: 534.28 2019-08-20 03:43:23,431 epoch 127 - iter 1855/2650 - loss 0.12217513 - samples/sec: 545.18 2019-08-20 03:43:39,111 epoch 127 - iter 2120/2650 - loss 0.12181787 - samples/sec: 544.73 2019-08-20 03:43:54,601 epoch 127 - iter 2385/2650 - loss 0.12234345 - samples/sec: 552.01 2019-08-20 03:44:10,000 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:44:10,000 EPOCH 127 done: loss 0.1227 - lr 0.1000 2019-08-20 03:44:10,000 BAD EPOCHS (no improvement): 0 2019-08-20 03:44:10,001 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:44:10,079 epoch 128 - iter 0/2650 - loss 0.08604839 - samples/sec: 116134.49 2019-08-20 03:44:25,942 epoch 128 - iter 265/2650 - loss 0.11516124 - samples/sec: 538.42 2019-08-20 03:44:41,316 epoch 128 - iter 530/2650 - loss 0.11675191 - samples/sec: 555.79 2019-08-20 03:44:56,902 epoch 128 - iter 795/2650 - loss 0.11804422 - samples/sec: 548.08 2019-08-20 03:45:12,450 epoch 128 - iter 1060/2650 - loss 0.11797726 - samples/sec: 549.68 2019-08-20 03:45:27,903 epoch 128 - iter 1325/2650 - loss 0.11820649 - samples/sec: 553.00 2019-08-20 03:45:43,781 epoch 128 - iter 1590/2650 - loss 0.11902156 - samples/sec: 538.11 2019-08-20 03:45:59,407 epoch 128 - iter 1855/2650 - loss 0.12035984 - samples/sec: 546.62 2019-08-20 03:46:15,051 epoch 128 - iter 2120/2650 - loss 0.12071551 - samples/sec: 545.95 2019-08-20 03:46:30,805 epoch 128 - iter 2385/2650 - loss 0.12113463 - samples/sec: 542.68 2019-08-20 03:46:46,352 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:46:46,353 EPOCH 128 done: loss 0.1213 - lr 0.1000 2019-08-20 03:46:46,353 BAD EPOCHS (no improvement): 0 2019-08-20 03:46:46,353 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:46:46,409 epoch 129 - iter 0/2650 - loss 0.10932545 - samples/sec: 170250.43 2019-08-20 03:47:02,017 epoch 129 - iter 265/2650 - loss 0.12066642 - samples/sec: 547.45 2019-08-20 03:47:17,447 epoch 129 - iter 530/2650 - loss 0.12165283 - samples/sec: 553.73 2019-08-20 03:47:33,150 epoch 129 - iter 795/2650 - loss 0.12182152 - samples/sec: 543.94 2019-08-20 03:47:48,792 epoch 129 - iter 1060/2650 - loss 0.12145869 - samples/sec: 546.60 2019-08-20 03:48:04,282 epoch 129 - iter 1325/2650 - loss 0.12207401 - samples/sec: 551.61 2019-08-20 03:48:19,980 epoch 129 - iter 1590/2650 - loss 0.12206032 - samples/sec: 544.60 2019-08-20 03:48:35,559 epoch 129 - iter 1855/2650 - loss 0.12202280 - samples/sec: 548.27 2019-08-20 03:48:51,146 epoch 129 - iter 2120/2650 - loss 0.12191717 - samples/sec: 548.20 2019-08-20 03:49:06,792 epoch 129 - iter 2385/2650 - loss 0.12242747 - samples/sec: 546.41 2019-08-20 03:49:22,416 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:49:22,416 EPOCH 129 done: loss 0.1226 - lr 0.1000 2019-08-20 03:49:22,416 BAD EPOCHS (no improvement): 1 2019-08-20 03:49:22,417 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:49:22,483 epoch 130 - iter 0/2650 - loss 0.09705922 - samples/sec: 138231.13 2019-08-20 03:49:38,028 epoch 130 - iter 265/2650 - loss 0.12345081 - samples/sec: 549.57 2019-08-20 03:49:53,756 epoch 130 - iter 530/2650 - loss 0.12393093 - samples/sec: 543.07 2019-08-20 03:50:09,504 epoch 130 - iter 795/2650 - loss 0.12253706 - samples/sec: 542.35 2019-08-20 03:50:25,241 epoch 130 - iter 1060/2650 - loss 0.12200383 - samples/sec: 543.03 2019-08-20 03:50:40,896 epoch 130 - iter 1325/2650 - loss 0.12221698 - samples/sec: 545.83 2019-08-20 03:50:56,483 epoch 130 - iter 1590/2650 - loss 0.12211082 - samples/sec: 548.19 2019-08-20 03:51:12,185 epoch 130 - iter 1855/2650 - loss 0.12251404 - samples/sec: 544.09 2019-08-20 03:51:27,992 epoch 130 - iter 2120/2650 - loss 0.12267780 - samples/sec: 540.43 2019-08-20 03:51:43,441 epoch 130 - iter 2385/2650 - loss 0.12246543 - samples/sec: 553.20 2019-08-20 03:51:58,916 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:51:58,917 EPOCH 130 done: loss 0.1223 - lr 0.1000 2019-08-20 03:51:58,917 BAD EPOCHS (no improvement): 2 2019-08-20 03:51:58,917 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:51:58,984 epoch 131 - iter 0/2650 - loss 0.18312353 - samples/sec: 137973.20 2019-08-20 03:52:14,437 epoch 131 - iter 265/2650 - loss 0.11579962 - samples/sec: 552.85 2019-08-20 03:52:30,270 epoch 131 - iter 530/2650 - loss 0.11912891 - samples/sec: 539.86 2019-08-20 03:52:45,822 epoch 131 - iter 795/2650 - loss 0.11994932 - samples/sec: 549.19 2019-08-20 03:53:01,375 epoch 131 - iter 1060/2650 - loss 0.12004326 - samples/sec: 549.42 2019-08-20 03:53:16,999 epoch 131 - iter 1325/2650 - loss 0.12068822 - samples/sec: 546.92 2019-08-20 03:53:32,640 epoch 131 - iter 1590/2650 - loss 0.12103340 - samples/sec: 546.26 2019-08-20 03:53:48,176 epoch 131 - iter 1855/2650 - loss 0.12071169 - samples/sec: 549.59 2019-08-20 03:54:03,792 epoch 131 - iter 2120/2650 - loss 0.12184893 - samples/sec: 546.92 2019-08-20 03:54:19,583 epoch 131 - iter 2385/2650 - loss 0.12241493 - samples/sec: 541.16 2019-08-20 03:54:35,135 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:54:35,136 EPOCH 131 done: loss 0.1222 - lr 0.1000 2019-08-20 03:54:35,136 BAD EPOCHS (no improvement): 3 2019-08-20 03:54:35,137 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:54:35,196 epoch 132 - iter 0/2650 - loss 0.08674983 - samples/sec: 165210.62 2019-08-20 03:54:50,695 epoch 132 - iter 265/2650 - loss 0.12169380 - samples/sec: 551.25 2019-08-20 03:55:06,126 epoch 132 - iter 530/2650 - loss 0.12217153 - samples/sec: 553.63 2019-08-20 03:55:21,920 epoch 132 - iter 795/2650 - loss 0.12210620 - samples/sec: 540.93 2019-08-20 03:55:37,677 epoch 132 - iter 1060/2650 - loss 0.12223772 - samples/sec: 542.26 2019-08-20 03:55:53,490 epoch 132 - iter 1325/2650 - loss 0.12251100 - samples/sec: 540.39 2019-08-20 03:56:09,055 epoch 132 - iter 1590/2650 - loss 0.12328062 - samples/sec: 549.44 2019-08-20 03:56:24,745 epoch 132 - iter 1855/2650 - loss 0.12328376 - samples/sec: 544.39 2019-08-20 03:56:40,397 epoch 132 - iter 2120/2650 - loss 0.12283525 - samples/sec: 545.75 2019-08-20 03:56:56,051 epoch 132 - iter 2385/2650 - loss 0.12266831 - samples/sec: 545.92 2019-08-20 03:57:11,459 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:57:11,459 EPOCH 132 done: loss 0.1231 - lr 0.1000 2019-08-20 03:57:11,459 BAD EPOCHS (no improvement): 4 2019-08-20 03:57:11,460 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:57:11,528 epoch 133 - iter 0/2650 - loss 0.12733620 - samples/sec: 131733.68 2019-08-20 03:57:27,120 epoch 133 - iter 265/2650 - loss 0.12607576 - samples/sec: 547.87 2019-08-20 03:57:42,706 epoch 133 - iter 530/2650 - loss 0.12271461 - samples/sec: 548.18 2019-08-20 03:57:58,282 epoch 133 - iter 795/2650 - loss 0.12294461 - samples/sec: 548.34 2019-08-20 03:58:13,933 epoch 133 - iter 1060/2650 - loss 0.12287419 - samples/sec: 545.90 2019-08-20 03:58:29,780 epoch 133 - iter 1325/2650 - loss 0.12312273 - samples/sec: 539.24 2019-08-20 03:58:44,359 epoch 133 - iter 1590/2650 - loss 0.12222696 - samples/sec: 585.97 2019-08-20 03:58:58,479 epoch 133 - iter 1855/2650 - loss 0.12120788 - samples/sec: 604.91 2019-08-20 03:59:12,860 epoch 133 - iter 2120/2650 - loss 0.12099143 - samples/sec: 593.91 2019-08-20 03:59:27,414 epoch 133 - iter 2385/2650 - loss 0.12106141 - samples/sec: 586.81 2019-08-20 03:59:42,639 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:59:42,640 EPOCH 133 done: loss 0.1211 - lr 0.0500 2019-08-20 03:59:42,640 BAD EPOCHS (no improvement): 0 2019-08-20 03:59:42,640 ---------------------------------------------------------------------------------------------------- 2019-08-20 03:59:42,693 epoch 134 - iter 0/2650 - loss 0.08149858 - samples/sec: 175451.47 2019-08-20 03:59:58,194 epoch 134 - iter 265/2650 - loss 0.11989706 - samples/sec: 551.22 2019-08-20 04:00:13,697 epoch 134 - iter 530/2650 - loss 0.12058682 - samples/sec: 551.18 2019-08-20 04:00:29,146 epoch 134 - iter 795/2650 - loss 0.11971547 - samples/sec: 553.05 2019-08-20 04:00:44,442 epoch 134 - iter 1060/2650 - loss 0.11820764 - samples/sec: 558.67 2019-08-20 04:01:00,116 epoch 134 - iter 1325/2650 - loss 0.11866518 - samples/sec: 545.30 2019-08-20 04:01:15,803 epoch 134 - iter 1590/2650 - loss 0.11891566 - samples/sec: 544.80 2019-08-20 04:01:31,411 epoch 134 - iter 1855/2650 - loss 0.11882659 - samples/sec: 547.27 2019-08-20 04:01:47,238 epoch 134 - iter 2120/2650 - loss 0.11905945 - samples/sec: 540.05 2019-08-20 04:02:03,277 epoch 134 - iter 2385/2650 - loss 0.11919367 - samples/sec: 532.69 2019-08-20 04:02:18,922 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:02:18,922 EPOCH 134 done: loss 0.1195 - lr 0.0500 2019-08-20 04:02:18,922 BAD EPOCHS (no improvement): 0 2019-08-20 04:02:18,923 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:02:18,995 epoch 135 - iter 0/2650 - loss 0.14522125 - samples/sec: 128347.18 2019-08-20 04:02:34,485 epoch 135 - iter 265/2650 - loss 0.11383425 - samples/sec: 551.32 2019-08-20 04:02:49,959 epoch 135 - iter 530/2650 - loss 0.11522776 - samples/sec: 552.27 2019-08-20 04:03:05,722 epoch 135 - iter 795/2650 - loss 0.11853371 - samples/sec: 541.73 2019-08-20 04:03:21,443 epoch 135 - iter 1060/2650 - loss 0.11960681 - samples/sec: 543.33 2019-08-20 04:03:37,119 epoch 135 - iter 1325/2650 - loss 0.11948472 - samples/sec: 545.00 2019-08-20 04:03:52,744 epoch 135 - iter 1590/2650 - loss 0.11939175 - samples/sec: 547.00 2019-08-20 04:04:08,244 epoch 135 - iter 1855/2650 - loss 0.11952622 - samples/sec: 551.23 2019-08-20 04:04:24,100 epoch 135 - iter 2120/2650 - loss 0.11945015 - samples/sec: 538.89 2019-08-20 04:04:39,685 epoch 135 - iter 2385/2650 - loss 0.11951413 - samples/sec: 548.25 2019-08-20 04:04:55,032 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:04:55,033 EPOCH 135 done: loss 0.1196 - lr 0.0500 2019-08-20 04:04:55,033 BAD EPOCHS (no improvement): 1 2019-08-20 04:04:55,034 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:04:55,088 epoch 136 - iter 0/2650 - loss 0.07060177 - samples/sec: 165536.63 2019-08-20 04:05:10,669 epoch 136 - iter 265/2650 - loss 0.11724176 - samples/sec: 548.34 2019-08-20 04:05:26,556 epoch 136 - iter 530/2650 - loss 0.11904280 - samples/sec: 537.82 2019-08-20 04:05:42,353 epoch 136 - iter 795/2650 - loss 0.11761869 - samples/sec: 540.62 2019-08-20 04:05:57,745 epoch 136 - iter 1060/2650 - loss 0.11669615 - samples/sec: 555.00 2019-08-20 04:06:13,342 epoch 136 - iter 1325/2650 - loss 0.11687947 - samples/sec: 548.22 2019-08-20 04:06:29,023 epoch 136 - iter 1590/2650 - loss 0.11687204 - samples/sec: 544.92 2019-08-20 04:06:44,436 epoch 136 - iter 1855/2650 - loss 0.11723960 - samples/sec: 554.44 2019-08-20 04:07:00,163 epoch 136 - iter 2120/2650 - loss 0.11799878 - samples/sec: 543.22 2019-08-20 04:07:15,841 epoch 136 - iter 2385/2650 - loss 0.11781072 - samples/sec: 544.95 2019-08-20 04:07:31,248 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:07:31,249 EPOCH 136 done: loss 0.1179 - lr 0.0500 2019-08-20 04:07:31,249 BAD EPOCHS (no improvement): 0 2019-08-20 04:07:31,250 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:07:31,305 epoch 137 - iter 0/2650 - loss 0.07891906 - samples/sec: 167851.34 2019-08-20 04:07:46,733 epoch 137 - iter 265/2650 - loss 0.11914431 - samples/sec: 553.72 2019-08-20 04:08:02,385 epoch 137 - iter 530/2650 - loss 0.12010540 - samples/sec: 545.86 2019-08-20 04:08:17,969 epoch 137 - iter 795/2650 - loss 0.11957631 - samples/sec: 548.04 2019-08-20 04:08:33,574 epoch 137 - iter 1060/2650 - loss 0.11806271 - samples/sec: 547.39 2019-08-20 04:08:49,261 epoch 137 - iter 1325/2650 - loss 0.11868114 - samples/sec: 544.98 2019-08-20 04:09:05,028 epoch 137 - iter 1590/2650 - loss 0.11828497 - samples/sec: 541.69 2019-08-20 04:09:20,529 epoch 137 - iter 1855/2650 - loss 0.11830552 - samples/sec: 551.16 2019-08-20 04:09:36,109 epoch 137 - iter 2120/2650 - loss 0.11856906 - samples/sec: 548.34 2019-08-20 04:09:51,993 epoch 137 - iter 2385/2650 - loss 0.11820849 - samples/sec: 537.87 2019-08-20 04:10:07,671 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:10:07,671 EPOCH 137 done: loss 0.1192 - lr 0.0500 2019-08-20 04:10:07,671 BAD EPOCHS (no improvement): 1 2019-08-20 04:10:07,672 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:10:07,736 epoch 138 - iter 0/2650 - loss 0.09969399 - samples/sec: 143628.37 2019-08-20 04:10:23,257 epoch 138 - iter 265/2650 - loss 0.11847470 - samples/sec: 550.42 2019-08-20 04:10:38,435 epoch 138 - iter 530/2650 - loss 0.11810687 - samples/sec: 562.90 2019-08-20 04:10:54,325 epoch 138 - iter 795/2650 - loss 0.11973381 - samples/sec: 537.60 2019-08-20 04:11:09,893 epoch 138 - iter 1060/2650 - loss 0.11968213 - samples/sec: 548.89 2019-08-20 04:11:25,657 epoch 138 - iter 1325/2650 - loss 0.11945503 - samples/sec: 542.24 2019-08-20 04:11:41,151 epoch 138 - iter 1590/2650 - loss 0.11942868 - samples/sec: 551.67 2019-08-20 04:11:56,857 epoch 138 - iter 1855/2650 - loss 0.11967264 - samples/sec: 543.98 2019-08-20 04:12:12,589 epoch 138 - iter 2120/2650 - loss 0.11897517 - samples/sec: 542.91 2019-08-20 04:12:28,267 epoch 138 - iter 2385/2650 - loss 0.11915967 - samples/sec: 544.79 2019-08-20 04:12:43,888 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:12:43,889 EPOCH 138 done: loss 0.1193 - lr 0.0500 2019-08-20 04:12:43,889 BAD EPOCHS (no improvement): 2 2019-08-20 04:12:43,890 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:12:43,947 epoch 139 - iter 0/2650 - loss 0.07974821 - samples/sec: 161900.96 2019-08-20 04:12:59,372 epoch 139 - iter 265/2650 - loss 0.12207165 - samples/sec: 554.00 2019-08-20 04:13:14,986 epoch 139 - iter 530/2650 - loss 0.12095788 - samples/sec: 547.58 2019-08-20 04:13:30,879 epoch 139 - iter 795/2650 - loss 0.11907055 - samples/sec: 537.58 2019-08-20 04:13:46,572 epoch 139 - iter 1060/2650 - loss 0.11833088 - samples/sec: 544.25 2019-08-20 04:14:02,006 epoch 139 - iter 1325/2650 - loss 0.11804197 - samples/sec: 553.84 2019-08-20 04:14:17,597 epoch 139 - iter 1590/2650 - loss 0.11803005 - samples/sec: 547.89 2019-08-20 04:14:33,251 epoch 139 - iter 1855/2650 - loss 0.11813464 - samples/sec: 545.48 2019-08-20 04:14:47,828 epoch 139 - iter 2120/2650 - loss 0.11808494 - samples/sec: 586.02 2019-08-20 04:15:02,224 epoch 139 - iter 2385/2650 - loss 0.11779484 - samples/sec: 593.02 2019-08-20 04:15:16,652 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:15:16,653 EPOCH 139 done: loss 0.1177 - lr 0.0500 2019-08-20 04:15:16,653 BAD EPOCHS (no improvement): 0 2019-08-20 04:15:16,653 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:15:16,714 epoch 140 - iter 0/2650 - loss 0.12820213 - samples/sec: 145312.47 2019-08-20 04:15:31,182 epoch 140 - iter 265/2650 - loss 0.11909616 - samples/sec: 590.20 2019-08-20 04:15:45,584 epoch 140 - iter 530/2650 - loss 0.12087278 - samples/sec: 592.94 2019-08-20 04:15:59,977 epoch 140 - iter 795/2650 - loss 0.11953532 - samples/sec: 593.37 2019-08-20 04:16:15,704 epoch 140 - iter 1060/2650 - loss 0.12026357 - samples/sec: 543.43 2019-08-20 04:16:31,185 epoch 140 - iter 1325/2650 - loss 0.12042194 - samples/sec: 552.04 2019-08-20 04:16:46,704 epoch 140 - iter 1590/2650 - loss 0.11952595 - samples/sec: 550.68 2019-08-20 04:17:02,238 epoch 140 - iter 1855/2650 - loss 0.11850102 - samples/sec: 549.88 2019-08-20 04:17:18,233 epoch 140 - iter 2120/2650 - loss 0.11760619 - samples/sec: 533.86 2019-08-20 04:17:33,745 epoch 140 - iter 2385/2650 - loss 0.11755734 - samples/sec: 550.93 2019-08-20 04:17:49,085 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:17:49,086 EPOCH 140 done: loss 0.1177 - lr 0.0500 2019-08-20 04:17:49,086 BAD EPOCHS (no improvement): 0 2019-08-20 04:17:49,086 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:17:49,141 epoch 141 - iter 0/2650 - loss 0.13112056 - samples/sec: 171734.20 2019-08-20 04:18:04,704 epoch 141 - iter 265/2650 - loss 0.11593156 - samples/sec: 548.91 2019-08-20 04:18:20,055 epoch 141 - iter 530/2650 - loss 0.11842291 - samples/sec: 556.66 2019-08-20 04:18:35,566 epoch 141 - iter 795/2650 - loss 0.11928575 - samples/sec: 551.01 2019-08-20 04:18:51,592 epoch 141 - iter 1060/2650 - loss 0.11815213 - samples/sec: 532.74 2019-08-20 04:19:07,296 epoch 141 - iter 1325/2650 - loss 0.11829916 - samples/sec: 544.03 2019-08-20 04:19:22,830 epoch 141 - iter 1590/2650 - loss 0.11741599 - samples/sec: 550.11 2019-08-20 04:19:38,344 epoch 141 - iter 1855/2650 - loss 0.11766766 - samples/sec: 550.81 2019-08-20 04:19:54,245 epoch 141 - iter 2120/2650 - loss 0.11789509 - samples/sec: 537.00 2019-08-20 04:20:09,739 epoch 141 - iter 2385/2650 - loss 0.11753828 - samples/sec: 551.48 2019-08-20 04:20:25,389 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:20:25,390 EPOCH 141 done: loss 0.1176 - lr 0.0500 2019-08-20 04:20:25,390 BAD EPOCHS (no improvement): 0 2019-08-20 04:20:25,391 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:20:25,462 epoch 142 - iter 0/2650 - loss 0.10420612 - samples/sec: 124436.98 2019-08-20 04:20:40,996 epoch 142 - iter 265/2650 - loss 0.11374600 - samples/sec: 550.14 2019-08-20 04:20:56,479 epoch 142 - iter 530/2650 - loss 0.11441269 - samples/sec: 552.36 2019-08-20 04:21:12,450 epoch 142 - iter 795/2650 - loss 0.11547999 - samples/sec: 534.85 2019-08-20 04:21:28,127 epoch 142 - iter 1060/2650 - loss 0.11581499 - samples/sec: 545.41 2019-08-20 04:21:43,685 epoch 142 - iter 1325/2650 - loss 0.11696258 - samples/sec: 549.31 2019-08-20 04:21:59,145 epoch 142 - iter 1590/2650 - loss 0.11767194 - samples/sec: 552.75 2019-08-20 04:22:14,710 epoch 142 - iter 1855/2650 - loss 0.11724295 - samples/sec: 548.86 2019-08-20 04:22:30,432 epoch 142 - iter 2120/2650 - loss 0.11751346 - samples/sec: 543.33 2019-08-20 04:22:46,088 epoch 142 - iter 2385/2650 - loss 0.11757038 - samples/sec: 545.64 2019-08-20 04:23:01,722 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:23:01,723 EPOCH 142 done: loss 0.1174 - lr 0.0500 2019-08-20 04:23:01,723 BAD EPOCHS (no improvement): 0 2019-08-20 04:23:01,724 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:23:01,783 epoch 143 - iter 0/2650 - loss 0.09394922 - samples/sec: 149271.00 2019-08-20 04:23:17,106 epoch 143 - iter 265/2650 - loss 0.11594735 - samples/sec: 557.75 2019-08-20 04:23:32,670 epoch 143 - iter 530/2650 - loss 0.11836398 - samples/sec: 548.91 2019-08-20 04:23:48,285 epoch 143 - iter 795/2650 - loss 0.11712885 - samples/sec: 547.05 2019-08-20 04:24:04,010 epoch 143 - iter 1060/2650 - loss 0.11722537 - samples/sec: 543.07 2019-08-20 04:24:19,841 epoch 143 - iter 1325/2650 - loss 0.11623272 - samples/sec: 539.82 2019-08-20 04:24:35,281 epoch 143 - iter 1590/2650 - loss 0.11614576 - samples/sec: 553.45 2019-08-20 04:24:50,724 epoch 143 - iter 1855/2650 - loss 0.11593446 - samples/sec: 553.42 2019-08-20 04:25:06,379 epoch 143 - iter 2120/2650 - loss 0.11638519 - samples/sec: 545.82 2019-08-20 04:25:22,225 epoch 143 - iter 2385/2650 - loss 0.11658144 - samples/sec: 539.14 2019-08-20 04:25:37,950 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:25:37,951 EPOCH 143 done: loss 0.1160 - lr 0.0500 2019-08-20 04:25:37,951 BAD EPOCHS (no improvement): 0 2019-08-20 04:25:37,952 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:25:38,011 epoch 144 - iter 0/2650 - loss 0.09100603 - samples/sec: 155628.72 2019-08-20 04:25:53,789 epoch 144 - iter 265/2650 - loss 0.11690280 - samples/sec: 541.59 2019-08-20 04:26:09,246 epoch 144 - iter 530/2650 - loss 0.11499566 - samples/sec: 552.81 2019-08-20 04:26:24,654 epoch 144 - iter 795/2650 - loss 0.11752711 - samples/sec: 554.52 2019-08-20 04:26:40,564 epoch 144 - iter 1060/2650 - loss 0.11748084 - samples/sec: 536.92 2019-08-20 04:26:55,990 epoch 144 - iter 1325/2650 - loss 0.11639372 - samples/sec: 554.07 2019-08-20 04:27:11,454 epoch 144 - iter 1590/2650 - loss 0.11602075 - samples/sec: 552.70 2019-08-20 04:27:26,741 epoch 144 - iter 1855/2650 - loss 0.11532472 - samples/sec: 559.06 2019-08-20 04:27:42,682 epoch 144 - iter 2120/2650 - loss 0.11516215 - samples/sec: 535.76 2019-08-20 04:27:58,509 epoch 144 - iter 2385/2650 - loss 0.11492226 - samples/sec: 539.84 2019-08-20 04:28:14,153 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:28:14,154 EPOCH 144 done: loss 0.1153 - lr 0.0500 2019-08-20 04:28:14,154 BAD EPOCHS (no improvement): 0 2019-08-20 04:28:14,155 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:28:14,203 epoch 145 - iter 0/2650 - loss 0.06110338 - samples/sec: 187091.08 2019-08-20 04:28:29,970 epoch 145 - iter 265/2650 - loss 0.11470985 - samples/sec: 541.89 2019-08-20 04:28:45,446 epoch 145 - iter 530/2650 - loss 0.11814433 - samples/sec: 552.15 2019-08-20 04:29:01,208 epoch 145 - iter 795/2650 - loss 0.11577664 - samples/sec: 541.95 2019-08-20 04:29:16,706 epoch 145 - iter 1060/2650 - loss 0.11643099 - samples/sec: 551.05 2019-08-20 04:29:32,420 epoch 145 - iter 1325/2650 - loss 0.11647188 - samples/sec: 543.82 2019-08-20 04:29:48,220 epoch 145 - iter 1590/2650 - loss 0.11717816 - samples/sec: 540.72 2019-08-20 04:30:03,774 epoch 145 - iter 1855/2650 - loss 0.11713044 - samples/sec: 549.37 2019-08-20 04:30:19,386 epoch 145 - iter 2120/2650 - loss 0.11708520 - samples/sec: 547.34 2019-08-20 04:30:34,966 epoch 145 - iter 2385/2650 - loss 0.11662757 - samples/sec: 548.35 2019-08-20 04:30:50,472 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:30:50,473 EPOCH 145 done: loss 0.1165 - lr 0.0500 2019-08-20 04:30:50,473 BAD EPOCHS (no improvement): 1 2019-08-20 04:30:50,474 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:30:50,524 epoch 146 - iter 0/2650 - loss 0.07088616 - samples/sec: 189388.34 2019-08-20 04:31:06,159 epoch 146 - iter 265/2650 - loss 0.11635891 - samples/sec: 546.50 2019-08-20 04:31:21,609 epoch 146 - iter 530/2650 - loss 0.11402409 - samples/sec: 553.04 2019-08-20 04:31:37,104 epoch 146 - iter 795/2650 - loss 0.11531276 - samples/sec: 551.39 2019-08-20 04:31:52,769 epoch 146 - iter 1060/2650 - loss 0.11614334 - samples/sec: 545.36 2019-08-20 04:32:08,470 epoch 146 - iter 1325/2650 - loss 0.11569153 - samples/sec: 544.26 2019-08-20 04:32:24,286 epoch 146 - iter 1590/2650 - loss 0.11580147 - samples/sec: 540.26 2019-08-20 04:32:39,899 epoch 146 - iter 1855/2650 - loss 0.11596814 - samples/sec: 547.31 2019-08-20 04:32:55,352 epoch 146 - iter 2120/2650 - loss 0.11572094 - samples/sec: 552.93 2019-08-20 04:33:11,071 epoch 146 - iter 2385/2650 - loss 0.11561025 - samples/sec: 543.33 2019-08-20 04:33:26,738 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:33:26,739 EPOCH 146 done: loss 0.1154 - lr 0.0500 2019-08-20 04:33:26,739 BAD EPOCHS (no improvement): 2 2019-08-20 04:33:26,740 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:33:26,797 epoch 147 - iter 0/2650 - loss 0.10207205 - samples/sec: 164091.71 2019-08-20 04:33:42,207 epoch 147 - iter 265/2650 - loss 0.11431030 - samples/sec: 554.66 2019-08-20 04:33:57,669 epoch 147 - iter 530/2650 - loss 0.11465246 - samples/sec: 552.66 2019-08-20 04:34:13,188 epoch 147 - iter 795/2650 - loss 0.11408833 - samples/sec: 550.48 2019-08-20 04:34:28,768 epoch 147 - iter 1060/2650 - loss 0.11423864 - samples/sec: 548.08 2019-08-20 04:34:44,296 epoch 147 - iter 1325/2650 - loss 0.11459540 - samples/sec: 550.41 2019-08-20 04:35:00,145 epoch 147 - iter 1590/2650 - loss 0.11556562 - samples/sec: 539.06 2019-08-20 04:35:15,703 epoch 147 - iter 1855/2650 - loss 0.11518452 - samples/sec: 549.28 2019-08-20 04:35:31,350 epoch 147 - iter 2120/2650 - loss 0.11502520 - samples/sec: 545.87 2019-08-20 04:35:46,891 epoch 147 - iter 2385/2650 - loss 0.11526756 - samples/sec: 549.63 2019-08-20 04:36:02,630 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:36:02,631 EPOCH 147 done: loss 0.1155 - lr 0.0500 2019-08-20 04:36:02,631 BAD EPOCHS (no improvement): 3 2019-08-20 04:36:02,632 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:36:02,685 epoch 148 - iter 0/2650 - loss 0.07507715 - samples/sec: 175193.94 2019-08-20 04:36:18,220 epoch 148 - iter 265/2650 - loss 0.11888475 - samples/sec: 550.04 2019-08-20 04:36:33,445 epoch 148 - iter 530/2650 - loss 0.11471511 - samples/sec: 561.38 2019-08-20 04:36:49,129 epoch 148 - iter 795/2650 - loss 0.11646606 - samples/sec: 544.61 2019-08-20 04:37:04,846 epoch 148 - iter 1060/2650 - loss 0.11512168 - samples/sec: 543.39 2019-08-20 04:37:20,599 epoch 148 - iter 1325/2650 - loss 0.11577714 - samples/sec: 542.34 2019-08-20 04:37:36,182 epoch 148 - iter 1590/2650 - loss 0.11508591 - samples/sec: 548.06 2019-08-20 04:37:51,805 epoch 148 - iter 1855/2650 - loss 0.11516156 - samples/sec: 546.96 2019-08-20 04:38:07,387 epoch 148 - iter 2120/2650 - loss 0.11549227 - samples/sec: 548.22 2019-08-20 04:38:23,208 epoch 148 - iter 2385/2650 - loss 0.11558959 - samples/sec: 540.12 2019-08-20 04:38:38,357 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:38:38,357 EPOCH 148 done: loss 0.1152 - lr 0.0500 2019-08-20 04:38:38,358 BAD EPOCHS (no improvement): 0 2019-08-20 04:38:38,358 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:38:38,408 epoch 149 - iter 0/2650 - loss 0.26436725 - samples/sec: 180982.15 2019-08-20 04:38:53,273 epoch 149 - iter 265/2650 - loss 0.11497009 - samples/sec: 574.78 2019-08-20 04:39:08,513 epoch 149 - iter 530/2650 - loss 0.11763896 - samples/sec: 560.78 2019-08-20 04:39:24,137 epoch 149 - iter 795/2650 - loss 0.11722557 - samples/sec: 546.67 2019-08-20 04:39:39,766 epoch 149 - iter 1060/2650 - loss 0.11688167 - samples/sec: 546.37 2019-08-20 04:39:55,535 epoch 149 - iter 1325/2650 - loss 0.11565059 - samples/sec: 541.73 2019-08-20 04:40:11,315 epoch 149 - iter 1590/2650 - loss 0.11586694 - samples/sec: 541.22 2019-08-20 04:40:26,945 epoch 149 - iter 1855/2650 - loss 0.11590683 - samples/sec: 546.63 2019-08-20 04:40:42,708 epoch 149 - iter 2120/2650 - loss 0.11614393 - samples/sec: 541.95 2019-08-20 04:40:58,296 epoch 149 - iter 2385/2650 - loss 0.11621696 - samples/sec: 547.96 2019-08-20 04:41:13,903 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:41:13,904 EPOCH 149 done: loss 0.1163 - lr 0.0500 2019-08-20 04:41:13,904 BAD EPOCHS (no improvement): 1 2019-08-20 04:41:13,905 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:41:13,963 epoch 150 - iter 0/2650 - loss 0.12969644 - samples/sec: 161709.58 2019-08-20 04:41:29,472 epoch 150 - iter 265/2650 - loss 0.11572828 - samples/sec: 551.02 2019-08-20 04:41:45,193 epoch 150 - iter 530/2650 - loss 0.11539270 - samples/sec: 543.44 2019-08-20 04:42:00,542 epoch 150 - iter 795/2650 - loss 0.11501968 - samples/sec: 556.68 2019-08-20 04:42:16,020 epoch 150 - iter 1060/2650 - loss 0.11489605 - samples/sec: 551.84 2019-08-20 04:42:31,839 epoch 150 - iter 1325/2650 - loss 0.11423076 - samples/sec: 539.98 2019-08-20 04:42:47,196 epoch 150 - iter 1590/2650 - loss 0.11422642 - samples/sec: 556.90 2019-08-20 04:43:02,776 epoch 150 - iter 1855/2650 - loss 0.11477540 - samples/sec: 548.52 2019-08-20 04:43:17,164 epoch 150 - iter 2120/2650 - loss 0.11494124 - samples/sec: 593.73 2019-08-20 04:43:31,765 epoch 150 - iter 2385/2650 - loss 0.11476158 - samples/sec: 584.84 2019-08-20 04:43:46,216 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:43:46,217 EPOCH 150 done: loss 0.1152 - lr 0.0500 2019-08-20 04:43:46,217 BAD EPOCHS (no improvement): 0 2019-08-20 04:43:50,412 ---------------------------------------------------------------------------------------------------- 2019-08-20 04:43:50,412 Testing using best model ... 2019-08-20 05:24:19,249 0.9754 0.9754 0.9754 2019-08-20 05:24:19,250 MICRO_AVG: acc 0.952 - f1-score 0.9754 MACRO_AVG: acc 0.4707 - f1-score 0.5170271193415626 _ tp: 141264 - fp: 769 - fn: 1547 - tn: 141264 - precision: 0.9946 - recall: 0.9892 - accuracy: 0.9839 - f1-score: 0.9919 abandon.01 tp: 8 - fp: 0 - fn: 0 - tn: 8 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 abate.01 tp: 0 - fp: 0 - fn: 1 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 abduct.01 tp: 0 - fp: 0 - fn: 2 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 abide.01 tp: 2 - fp: 1 - fn: 0 - tn: 2 - precision: 0.6667 - recall: 1.0000 - accuracy: 0.6667 - f1-score: 0.8000 abort.01 tp: 5 - fp: 0 - fn: 0 - tn: 5 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 abound.01 tp: 0 - fp: 0 - fn: 2 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 absent.01 tp: 3 - fp: 0 - fn: 0 - tn: 3 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 absorb.01 tp: 1 - fp: 1 - fn: 0 - tn: 1 - precision: 0.5000 - recall: 1.0000 - accuracy: 0.5000 - f1-score: 0.6667 abuse.01 tp: 6 - fp: 14 - fn: 0 - tn: 6 - precision: 0.3000 - recall: 1.0000 - accuracy: 0.3000 - f1-score: 0.4615 abuse.02 tp: 0 - fp: 1 - fn: 1 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 abut.01 tp: 0 - fp: 0 - fn: 1 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 accelerate.01 tp: 8 - fp: 0 - fn: 0 - tn: 8 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 accept.01 tp: 34 - fp: 3 - fn: 1 - tn: 34 - precision: 0.9189 - recall: 0.9714 - accuracy: 0.8947 - f1-score: 0.9444 access.01 tp: 4 - fp: 0 - fn: 1 - tn: 4 - precision: 1.0000 - recall: 0.8000 - accuracy: 0.8000 - f1-score: 0.8889 accession.01 tp: 0 - fp: 0 - fn: 1 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 accommodate.01 tp: 1 - fp: 1 - fn: 0 - tn: 1 - precision: 0.5000 - recall: 1.0000 - accuracy: 0.5000 - f1-score: 0.6667 accompany.01 tp: 2 - fp: 0 - fn: 0 - tn: 2 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 accomplish.01 tp: 6 - fp: 0 - fn: 0 - tn: 6 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 accord.02 tp: 6 - fp: 0 - fn: 0 - tn: 6 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 account.01 tp: 26 - fp: 1 - fn: 11 - tn: 26 - precision: 0.9630 - recall: 0.7027 - accuracy: 0.6842 - f1-score: 0.8125 accumulate.01 tp: 8 - fp: 0 - fn: 1 - tn: 8 - precision: 1.0000 - recall: 0.8889 - accuracy: 0.8889 - f1-score: 0.9412 accuse.01 tp: 7 - fp: 0 - fn: 0 - tn: 7 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 achieve.01 tp: 18 - fp: 0 - fn: 2 - tn: 18 - precision: 1.0000 - recall: 0.9000 - accuracy: 0.9000 - f1-score: 0.9474 acknowledge.01 tp: 11 - fp: 5 - fn: 0 - tn: 11 - precision: 0.6875 - recall: 1.0000 - accuracy: 0.6875 - f1-score: 0.8148 acquiesce.01 tp: 0 - fp: 0 - fn: 1 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 acquire.01 tp: 14 - fp: 1 - fn: 0 - tn: 14 - precision: 0.9333 - recall: 1.0000 - accuracy: 0.9333 - f1-score: 0.9655 act.01 tp: 3 - fp: 3 - fn: 1 - tn: 3 - precision: 0.5000 - recall: 0.7500 - accuracy: 0.4286 - f1-score: 0.6000 act.02 tp: 18 - fp: 12 - fn: 2 - tn: 18 - precision: 0.6000 - recall: 0.9000 - accuracy: 0.5625 - f1-score: 0.7200 activate.01 tp: 0 - fp: 0 - fn: 8 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 adapt.01 tp: 1 - fp: 0 - fn: 0 - tn: 1 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 add.01 tp: 19 - fp: 0 - fn: 0 - tn: 19 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 add.02 tp: 36 - fp: 12 - fn: 0 - tn: 36 - precision: 0.7500 - recall: 1.0000 - accuracy: 0.7500 - f1-score: 0.8571 add.03 tp: 0 - fp: 1 - fn: 4 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 add_up.04 tp: 0 - fp: 0 - fn: 1 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 address.01 tp: 0 - fp: 0 - fn: 2 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 address.02 tp: 6 - fp: 2 - fn: 0 - tn: 6 - precision: 0.7500 - recall: 1.0000 - accuracy: 0.7500 - f1-score: 0.8571 address.03 tp: 2 - fp: 0 - fn: 0 - tn: 2 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 adhere.02 tp: 1 - fp: 1 - fn: 0 - tn: 1 - precision: 0.5000 - recall: 1.0000 - accuracy: 0.5000 - f1-score: 0.6667 adjust.01 tp: 11 - fp: 2 - fn: 0 - tn: 11 - precision: 0.8462 - recall: 1.0000 - accuracy: 0.8462 - f1-score: 0.9167 administer.01 tp: 1 - fp: 0 - fn: 0 - tn: 1 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 admire.01 tp: 1 - fp: 4 - fn: 0 - tn: 1 - precision: 0.2000 - recall: 1.0000 - accuracy: 0.2000 - f1-score: 0.3333 admit.01 tp: 4 - fp: 1 - fn: 0 - tn: 4 - precision: 0.8000 - recall: 1.0000 - accuracy: 0.8000 - f1-score: 0.8889 admit.02 tp: 2 - fp: 0 - fn: 1 - tn: 2 - precision: 1.0000 - recall: 0.6667 - accuracy: 0.6667 - f1-score: 0.8000 admonish.02 tp: 0 - fp: 0 - fn: 1 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 adopt.01 tp: 8 - fp: 0 - fn: 0 - tn: 8 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 advance.01 tp: 4 - fp: 1 - fn: 0 - tn: 4 - precision: 0.8000 - recall: 1.0000 - accuracy: 0.8000 - f1-score: 0.8889 advertise.01 tp: 2 - fp: 1 - fn: 0 - tn: 2 - precision: 0.6667 - recall: 1.0000 - accuracy: 0.6667 - f1-score: 0.8000 advise.01 tp: 2 - fp: 0 - fn: 0 - tn: 2 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 advocate.01 tp: 2 - fp: 0 - fn: 0 - tn: 2 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 affect.01 tp: 16 - fp: 2 - fn: 0 - tn: 16 - precision: 0.8889 - recall: 1.0000 - accuracy: 0.8889 - f1-score: 0.9412 affiliate.01 tp: 0 - fp: 0 - fn: 4 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 affirm.01 tp: 0 - fp: 0 - fn: 2 - tn: 0 - precision: 0.0000 - recall: 0.0000 - accuracy: 0.0000 - f1-score: 0.0000 afford.01 tp: 5 - fp: 0 - fn: 0 - tn: 5 - precision: 1.0000 - recall: 1.0000 - accuracy: 1.0000 - f1-score: 1.0000 age.01 tp: 6 - fp: 6 - fn: 1 - tn: 6 - precision: 0.5000 - recall: 0.8571 - accuracy: 0.4615 - f1-score: 0.6316 agitate.01 tp: 0 - fp: 0 - fn: 1 - tn: 0 - precision: 0.0000 - 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