diff --git "a/training.log" "b/training.log" new file mode 100644--- /dev/null +++ "b/training.log" @@ -0,0 +1,2804 @@ +2021-06-19 21:14:55,975 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:14:55,981 Model: "SequenceTagger( + (embeddings): StackedEmbeddings( + (list_embedding_0): WordEmbeddings('sl') + (list_embedding_1): FlairEmbeddings( + (lm): LanguageModel( + (drop): Dropout(p=0.1, inplace=False) + (encoder): Embedding(4170, 100) + (rnn): LSTM(100, 2048) + (decoder): Linear(in_features=2048, out_features=4170, bias=True) + ) + ) + (list_embedding_2): FlairEmbeddings( + (lm): LanguageModel( + (drop): Dropout(p=0.1, inplace=False) + (encoder): Embedding(4170, 100) + (rnn): LSTM(100, 2048) + (decoder): Linear(in_features=2048, out_features=4170, bias=True) + ) + ) + ) + (word_dropout): WordDropout(p=0.05) + (locked_dropout): LockedDropout(p=0.5) + (embedding2nn): Linear(in_features=4396, out_features=4396, bias=True) + (rnn): LSTM(4396, 256, batch_first=True, bidirectional=True) + (linear): Linear(in_features=512, out_features=1071, bias=True) + (beta): 1.0 + (weights): None + (weight_tensor) None +)" +2021-06-19 21:14:55,986 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:14:55,988 Corpus: "Corpus: 6478 train + 734 dev + 788 test sentences" +2021-06-19 21:14:55,990 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:14:55,993 Parameters: +2021-06-19 21:14:55,996 - learning_rate: "0.1" +2021-06-19 21:14:56,001 - mini_batch_size: "32" +2021-06-19 21:14:56,006 - patience: "3" +2021-06-19 21:14:56,010 - anneal_factor: "0.5" +2021-06-19 21:14:56,013 - max_epochs: "150" +2021-06-19 21:14:56,021 - shuffle: "True" +2021-06-19 21:14:56,023 - train_with_dev: "True" +2021-06-19 21:14:56,025 - batch_growth_annealing: "False" +2021-06-19 21:14:56,027 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:14:56,029 Model training base path: "/content/drive/My Drive/mltraining/slovene_large" +2021-06-19 21:14:56,031 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:14:56,034 Device: cuda:0 +2021-06-19 21:14:56,035 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:14:56,038 Embeddings storage mode: cpu +2021-06-19 21:14:56,048 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:15:39,904 epoch 1 - iter 22/226 - loss 98.00304881 - samples/sec: 16.05 - lr: 0.100000 +2021-06-19 21:16:30,069 epoch 1 - iter 44/226 - loss 88.34257949 - samples/sec: 14.04 - lr: 0.100000 +2021-06-19 21:17:11,119 epoch 1 - iter 66/226 - loss 78.79252214 - samples/sec: 17.15 - lr: 0.100000 +2021-06-19 21:17:54,488 epoch 1 - iter 88/226 - loss 72.09438898 - samples/sec: 16.23 - lr: 0.100000 +2021-06-19 21:18:42,090 epoch 1 - iter 110/226 - loss 67.64372482 - samples/sec: 14.79 - lr: 0.100000 +2021-06-19 21:19:29,525 epoch 1 - iter 132/226 - loss 63.78806328 - samples/sec: 14.84 - lr: 0.100000 +2021-06-19 21:20:18,400 epoch 1 - iter 154/226 - loss 60.47384921 - samples/sec: 14.41 - lr: 0.100000 +2021-06-19 21:21:01,605 epoch 1 - iter 176/226 - loss 57.41525848 - samples/sec: 16.30 - lr: 0.100000 +2021-06-19 21:21:42,904 epoch 1 - iter 198/226 - loss 54.47287331 - samples/sec: 17.05 - lr: 0.100000 +2021-06-19 21:22:28,554 epoch 1 - iter 220/226 - loss 52.42639418 - samples/sec: 15.42 - lr: 0.100000 +2021-06-19 21:22:41,282 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:22:41,284 EPOCH 1 done: loss 51.9423 - lr 0.1000000 +2021-06-19 21:22:41,287 BAD EPOCHS (no improvement): 0 +2021-06-19 21:22:41,296 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:23:20,750 epoch 2 - iter 22/226 - loss 29.66305663 - samples/sec: 17.85 - lr: 0.100000 +2021-06-19 21:24:02,348 epoch 2 - iter 44/226 - loss 28.69300903 - samples/sec: 16.93 - lr: 0.100000 +2021-06-19 21:24:42,253 epoch 2 - iter 66/226 - loss 28.21848025 - samples/sec: 17.64 - lr: 0.100000 +2021-06-19 21:25:24,256 epoch 2 - iter 88/226 - loss 27.49799397 - samples/sec: 16.76 - lr: 0.100000 +2021-06-19 21:26:06,961 epoch 2 - iter 110/226 - loss 27.11552972 - samples/sec: 16.49 - lr: 0.100000 +2021-06-19 21:26:48,367 epoch 2 - iter 132/226 - loss 26.62348990 - samples/sec: 17.00 - lr: 0.100000 +2021-06-19 21:27:33,438 epoch 2 - iter 154/226 - loss 26.27989651 - samples/sec: 15.62 - lr: 0.100000 +2021-06-19 21:28:15,948 epoch 2 - iter 176/226 - loss 25.89868172 - samples/sec: 16.56 - lr: 0.100000 +2021-06-19 21:28:57,528 epoch 2 - iter 198/226 - loss 25.39882489 - samples/sec: 16.94 - lr: 0.100000 +2021-06-19 21:29:38,113 epoch 2 - iter 220/226 - loss 24.92703308 - samples/sec: 17.35 - lr: 0.100000 +2021-06-19 21:29:51,164 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:29:51,170 EPOCH 2 done: loss 24.8626 - lr 0.1000000 +2021-06-19 21:29:51,172 BAD EPOCHS (no improvement): 0 +2021-06-19 21:29:51,182 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:30:33,989 epoch 3 - iter 22/226 - loss 20.83761233 - samples/sec: 16.45 - lr: 0.100000 +2021-06-19 21:31:12,794 epoch 3 - iter 44/226 - loss 20.61835664 - samples/sec: 18.14 - lr: 0.100000 +2021-06-19 21:31:52,673 epoch 3 - iter 66/226 - loss 20.33551189 - samples/sec: 17.66 - lr: 0.100000 +2021-06-19 21:32:33,027 epoch 3 - iter 88/226 - loss 20.07066052 - samples/sec: 17.45 - lr: 0.100000 +2021-06-19 21:33:14,731 epoch 3 - iter 110/226 - loss 20.07999393 - samples/sec: 16.88 - lr: 0.100000 +2021-06-19 21:33:55,964 epoch 3 - iter 132/226 - loss 19.87466413 - samples/sec: 17.08 - lr: 0.100000 +2021-06-19 21:34:39,515 epoch 3 - iter 154/226 - loss 19.73061847 - samples/sec: 16.17 - lr: 0.100000 +2021-06-19 21:35:22,668 epoch 3 - iter 176/226 - loss 19.60253082 - samples/sec: 16.32 - lr: 0.100000 +2021-06-19 21:36:05,297 epoch 3 - iter 198/226 - loss 19.30640349 - samples/sec: 16.52 - lr: 0.100000 +2021-06-19 21:36:52,174 epoch 3 - iter 220/226 - loss 19.20323914 - samples/sec: 15.02 - lr: 0.100000 +2021-06-19 21:37:03,408 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:37:03,411 EPOCH 3 done: loss 19.2036 - lr 0.1000000 +2021-06-19 21:37:03,414 BAD EPOCHS (no improvement): 0 +2021-06-19 21:37:03,424 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:37:44,818 epoch 4 - iter 22/226 - loss 16.47879518 - samples/sec: 17.01 - lr: 0.100000 +2021-06-19 21:38:24,369 epoch 4 - iter 44/226 - loss 16.67900827 - samples/sec: 17.80 - lr: 0.100000 +2021-06-19 21:39:06,074 epoch 4 - iter 66/226 - loss 16.84840873 - samples/sec: 16.88 - lr: 0.100000 +2021-06-19 21:39:45,841 epoch 4 - iter 88/226 - loss 16.67460994 - samples/sec: 17.71 - lr: 0.100000 +2021-06-19 21:40:27,057 epoch 4 - iter 110/226 - loss 16.73211441 - samples/sec: 17.08 - lr: 0.100000 +2021-06-19 21:41:13,339 epoch 4 - iter 132/226 - loss 16.72350005 - samples/sec: 15.21 - lr: 0.100000 +2021-06-19 21:41:52,443 epoch 4 - iter 154/226 - loss 16.57531195 - samples/sec: 18.01 - lr: 0.100000 +2021-06-19 21:42:33,968 epoch 4 - iter 176/226 - loss 16.60326982 - samples/sec: 16.96 - lr: 0.100000 +2021-06-19 21:43:16,557 epoch 4 - iter 198/226 - loss 16.48415567 - samples/sec: 16.53 - lr: 0.100000 +2021-06-19 21:43:58,219 epoch 4 - iter 220/226 - loss 16.40128544 - samples/sec: 16.90 - lr: 0.100000 +2021-06-19 21:44:09,094 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:44:09,096 EPOCH 4 done: loss 16.3924 - lr 0.1000000 +2021-06-19 21:44:09,103 BAD EPOCHS (no improvement): 0 +2021-06-19 21:44:09,110 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:44:54,108 epoch 5 - iter 22/226 - loss 15.71610243 - samples/sec: 15.65 - lr: 0.100000 +2021-06-19 21:45:35,490 epoch 5 - iter 44/226 - loss 14.87107702 - samples/sec: 17.01 - lr: 0.100000 +2021-06-19 21:46:16,020 epoch 5 - iter 66/226 - loss 14.63597850 - samples/sec: 17.37 - lr: 0.100000 +2021-06-19 21:46:58,579 epoch 5 - iter 88/226 - loss 14.71578424 - samples/sec: 16.54 - lr: 0.100000 +2021-06-19 21:47:41,997 epoch 5 - iter 110/226 - loss 14.82068661 - samples/sec: 16.22 - lr: 0.100000 +2021-06-19 21:48:22,463 epoch 5 - iter 132/226 - loss 14.74450069 - samples/sec: 17.40 - lr: 0.100000 +2021-06-19 21:49:06,753 epoch 5 - iter 154/226 - loss 14.67929577 - samples/sec: 15.90 - lr: 0.100000 +2021-06-19 21:49:50,409 epoch 5 - iter 176/226 - loss 14.72655249 - samples/sec: 16.13 - lr: 0.100000 +2021-06-19 21:50:30,196 epoch 5 - iter 198/226 - loss 14.70330096 - samples/sec: 17.70 - lr: 0.100000 +2021-06-19 21:51:07,587 epoch 5 - iter 220/226 - loss 14.59278536 - samples/sec: 18.83 - lr: 0.100000 +2021-06-19 21:51:17,793 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:51:17,794 EPOCH 5 done: loss 14.5455 - lr 0.1000000 +2021-06-19 21:51:17,798 BAD EPOCHS (no improvement): 0 +2021-06-19 21:51:17,810 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:52:01,392 epoch 6 - iter 22/226 - loss 13.27629397 - samples/sec: 16.16 - lr: 0.100000 +2021-06-19 21:52:45,903 epoch 6 - iter 44/226 - loss 13.47557844 - samples/sec: 15.82 - lr: 0.100000 +2021-06-19 21:53:26,891 epoch 6 - iter 66/226 - loss 13.27312533 - samples/sec: 17.18 - lr: 0.100000 +2021-06-19 21:54:10,410 epoch 6 - iter 88/226 - loss 13.48778013 - samples/sec: 16.18 - lr: 0.100000 +2021-06-19 21:54:51,911 epoch 6 - iter 110/226 - loss 13.35325747 - samples/sec: 16.97 - lr: 0.100000 +2021-06-19 21:55:34,698 epoch 6 - iter 132/226 - loss 13.36600305 - samples/sec: 16.46 - lr: 0.100000 +2021-06-19 21:56:17,805 epoch 6 - iter 154/226 - loss 13.37381490 - samples/sec: 16.33 - lr: 0.100000 +2021-06-19 21:57:00,441 epoch 6 - iter 176/226 - loss 13.31313528 - samples/sec: 16.51 - lr: 0.100000 +2021-06-19 21:57:39,575 epoch 6 - iter 198/226 - loss 13.23960441 - samples/sec: 17.99 - lr: 0.100000 +2021-06-19 21:58:20,379 epoch 6 - iter 220/226 - loss 13.24792471 - samples/sec: 17.26 - lr: 0.100000 +2021-06-19 21:58:31,015 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:58:31,018 EPOCH 6 done: loss 13.2388 - lr 0.1000000 +2021-06-19 21:58:31,020 BAD EPOCHS (no improvement): 0 +2021-06-19 21:58:31,030 ---------------------------------------------------------------------------------------------------- +2021-06-19 21:59:14,816 epoch 7 - iter 22/226 - loss 12.49361051 - samples/sec: 16.08 - lr: 0.100000 +2021-06-19 21:59:57,100 epoch 7 - iter 44/226 - loss 12.53801237 - samples/sec: 16.65 - lr: 0.100000 +2021-06-19 22:00:36,483 epoch 7 - iter 66/226 - loss 12.46979148 - samples/sec: 17.88 - lr: 0.100000 +2021-06-19 22:01:20,714 epoch 7 - iter 88/226 - loss 12.48945094 - samples/sec: 15.92 - lr: 0.100000 +2021-06-19 22:02:00,876 epoch 7 - iter 110/226 - loss 12.41151987 - samples/sec: 17.53 - lr: 0.100000 +2021-06-19 22:02:41,314 epoch 7 - iter 132/226 - loss 12.40755677 - samples/sec: 17.41 - lr: 0.100000 +2021-06-19 22:03:20,860 epoch 7 - iter 154/226 - loss 12.32193089 - samples/sec: 17.80 - lr: 0.100000 +2021-06-19 22:04:03,644 epoch 7 - iter 176/226 - loss 12.34771764 - samples/sec: 16.46 - lr: 0.100000 +2021-06-19 22:04:46,132 epoch 7 - iter 198/226 - loss 12.31304604 - samples/sec: 16.57 - lr: 0.100000 +2021-06-19 22:05:27,971 epoch 7 - iter 220/226 - loss 12.28168632 - samples/sec: 16.83 - lr: 0.100000 +2021-06-19 22:05:38,466 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:05:38,469 EPOCH 7 done: loss 12.2512 - lr 0.1000000 +2021-06-19 22:05:38,473 BAD EPOCHS (no improvement): 0 +2021-06-19 22:05:38,480 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:06:18,851 epoch 8 - iter 22/226 - loss 11.20321105 - samples/sec: 17.44 - lr: 0.100000 +2021-06-19 22:07:00,407 epoch 8 - iter 44/226 - loss 11.43915493 - samples/sec: 16.94 - lr: 0.100000 +2021-06-19 22:07:43,297 epoch 8 - iter 66/226 - loss 11.43856760 - samples/sec: 16.42 - lr: 0.100000 +2021-06-19 22:08:27,211 epoch 8 - iter 88/226 - loss 11.48684621 - samples/sec: 16.03 - lr: 0.100000 +2021-06-19 22:09:10,293 epoch 8 - iter 110/226 - loss 11.56643904 - samples/sec: 16.34 - lr: 0.100000 +2021-06-19 22:09:49,606 epoch 8 - iter 132/226 - loss 11.49168373 - samples/sec: 17.91 - lr: 0.100000 +2021-06-19 22:10:31,036 epoch 8 - iter 154/226 - loss 11.49852618 - samples/sec: 16.99 - lr: 0.100000 +2021-06-19 22:11:10,301 epoch 8 - iter 176/226 - loss 11.45735899 - samples/sec: 17.93 - lr: 0.100000 +2021-06-19 22:11:51,500 epoch 8 - iter 198/226 - loss 11.36729160 - samples/sec: 17.09 - lr: 0.100000 +2021-06-19 22:12:34,052 epoch 8 - iter 220/226 - loss 11.42250888 - samples/sec: 16.55 - lr: 0.100000 +2021-06-19 22:12:46,814 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:12:46,817 EPOCH 8 done: loss 11.4598 - lr 0.1000000 +2021-06-19 22:12:46,819 BAD EPOCHS (no improvement): 0 +2021-06-19 22:12:46,831 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:13:29,143 epoch 9 - iter 22/226 - loss 10.74914256 - samples/sec: 16.64 - lr: 0.100000 +2021-06-19 22:14:12,666 epoch 9 - iter 44/226 - loss 10.85044024 - samples/sec: 16.18 - lr: 0.100000 +2021-06-19 22:14:53,468 epoch 9 - iter 66/226 - loss 10.67711056 - samples/sec: 17.26 - lr: 0.100000 +2021-06-19 22:15:33,459 epoch 9 - iter 88/226 - loss 10.61459190 - samples/sec: 17.61 - lr: 0.100000 +2021-06-19 22:16:16,427 epoch 9 - iter 110/226 - loss 10.69740465 - samples/sec: 16.39 - lr: 0.100000 +2021-06-19 22:16:56,317 epoch 9 - iter 132/226 - loss 10.67800209 - samples/sec: 17.65 - lr: 0.100000 +2021-06-19 22:17:40,741 epoch 9 - iter 154/226 - loss 10.66112831 - samples/sec: 15.85 - lr: 0.100000 +2021-06-19 22:18:23,092 epoch 9 - iter 176/226 - loss 10.64102680 - samples/sec: 16.63 - lr: 0.100000 +2021-06-19 22:19:05,571 epoch 9 - iter 198/226 - loss 10.64859644 - samples/sec: 16.57 - lr: 0.100000 +2021-06-19 22:19:47,456 epoch 9 - iter 220/226 - loss 10.68833295 - samples/sec: 16.81 - lr: 0.100000 +2021-06-19 22:19:57,313 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:19:57,319 EPOCH 9 done: loss 10.6909 - lr 0.1000000 +2021-06-19 22:19:57,324 BAD EPOCHS (no improvement): 0 +2021-06-19 22:19:57,330 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:20:44,261 epoch 10 - iter 22/226 - loss 9.55657363 - samples/sec: 15.01 - lr: 0.100000 +2021-06-19 22:21:25,866 epoch 10 - iter 44/226 - loss 10.14395344 - samples/sec: 16.92 - lr: 0.100000 +2021-06-19 22:22:06,899 epoch 10 - iter 66/226 - loss 10.11123855 - samples/sec: 17.16 - lr: 0.100000 +2021-06-19 22:22:47,610 epoch 10 - iter 88/226 - loss 10.22820828 - samples/sec: 17.30 - lr: 0.100000 +2021-06-19 22:23:29,566 epoch 10 - iter 110/226 - loss 10.17515046 - samples/sec: 16.78 - lr: 0.100000 +2021-06-19 22:24:10,670 epoch 10 - iter 132/226 - loss 10.11000323 - samples/sec: 17.13 - lr: 0.100000 +2021-06-19 22:24:51,695 epoch 10 - iter 154/226 - loss 10.16935893 - samples/sec: 17.16 - lr: 0.100000 +2021-06-19 22:25:32,263 epoch 10 - iter 176/226 - loss 10.19478921 - samples/sec: 17.36 - lr: 0.100000 +2021-06-19 22:26:16,634 epoch 10 - iter 198/226 - loss 10.24036263 - samples/sec: 15.87 - lr: 0.100000 +2021-06-19 22:26:56,660 epoch 10 - iter 220/226 - loss 10.20362631 - samples/sec: 17.59 - lr: 0.100000 +2021-06-19 22:27:06,810 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:27:06,812 EPOCH 10 done: loss 10.1922 - lr 0.1000000 +2021-06-19 22:27:06,815 BAD EPOCHS (no improvement): 0 +2021-06-19 22:27:06,828 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:27:47,452 epoch 11 - iter 22/226 - loss 9.84976092 - samples/sec: 17.33 - lr: 0.100000 +2021-06-19 22:28:29,597 epoch 11 - iter 44/226 - loss 9.91624672 - samples/sec: 16.71 - lr: 0.100000 +2021-06-19 22:29:10,670 epoch 11 - iter 66/226 - loss 9.85916579 - samples/sec: 17.14 - lr: 0.100000 +2021-06-19 22:29:55,589 epoch 11 - iter 88/226 - loss 9.82786761 - samples/sec: 15.67 - lr: 0.100000 +2021-06-19 22:30:36,227 epoch 11 - iter 110/226 - loss 9.87532565 - samples/sec: 17.33 - lr: 0.100000 +2021-06-19 22:31:16,567 epoch 11 - iter 132/226 - loss 9.86252369 - samples/sec: 17.45 - lr: 0.100000 +2021-06-19 22:32:00,053 epoch 11 - iter 154/226 - loss 9.82819509 - samples/sec: 16.19 - lr: 0.100000 +2021-06-19 22:32:39,653 epoch 11 - iter 176/226 - loss 9.75668870 - samples/sec: 17.78 - lr: 0.100000 +2021-06-19 22:33:18,058 epoch 11 - iter 198/226 - loss 9.73455038 - samples/sec: 18.33 - lr: 0.100000 +2021-06-19 22:33:58,379 epoch 11 - iter 220/226 - loss 9.74103593 - samples/sec: 17.46 - lr: 0.100000 +2021-06-19 22:34:08,181 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:34:08,183 EPOCH 11 done: loss 9.7189 - lr 0.1000000 +2021-06-19 22:34:08,186 BAD EPOCHS (no improvement): 0 +2021-06-19 22:34:08,192 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:34:49,244 epoch 12 - iter 22/226 - loss 8.83658843 - samples/sec: 17.15 - lr: 0.100000 +2021-06-19 22:35:31,077 epoch 12 - iter 44/226 - loss 8.91902429 - samples/sec: 16.83 - lr: 0.100000 +2021-06-19 22:36:13,790 epoch 12 - iter 66/226 - loss 9.10742896 - samples/sec: 16.48 - lr: 0.100000 +2021-06-19 22:36:53,557 epoch 12 - iter 88/226 - loss 9.02138714 - samples/sec: 17.71 - lr: 0.100000 +2021-06-19 22:37:37,568 epoch 12 - iter 110/226 - loss 9.15055696 - samples/sec: 16.00 - lr: 0.100000 +2021-06-19 22:38:18,560 epoch 12 - iter 132/226 - loss 9.20681237 - samples/sec: 17.18 - lr: 0.100000 +2021-06-19 22:38:59,595 epoch 12 - iter 154/226 - loss 9.29857945 - samples/sec: 17.16 - lr: 0.100000 +2021-06-19 22:39:40,831 epoch 12 - iter 176/226 - loss 9.33127416 - samples/sec: 17.07 - lr: 0.100000 +2021-06-19 22:40:24,173 epoch 12 - iter 198/226 - loss 9.31933733 - samples/sec: 16.25 - lr: 0.100000 +2021-06-19 22:41:03,021 epoch 12 - iter 220/226 - loss 9.30043491 - samples/sec: 18.12 - lr: 0.100000 +2021-06-19 22:41:13,164 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:41:13,167 EPOCH 12 done: loss 9.2779 - lr 0.1000000 +2021-06-19 22:41:13,169 BAD EPOCHS (no improvement): 0 +2021-06-19 22:41:13,182 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:41:54,025 epoch 13 - iter 22/226 - loss 8.96983331 - samples/sec: 17.24 - lr: 0.100000 +2021-06-19 22:42:35,820 epoch 13 - iter 44/226 - loss 8.86099775 - samples/sec: 16.85 - lr: 0.100000 +2021-06-19 22:43:16,941 epoch 13 - iter 66/226 - loss 8.94539907 - samples/sec: 17.12 - lr: 0.100000 +2021-06-19 22:43:58,649 epoch 13 - iter 88/226 - loss 9.12511803 - samples/sec: 16.88 - lr: 0.100000 +2021-06-19 22:44:36,818 epoch 13 - iter 110/226 - loss 9.06390392 - samples/sec: 18.45 - lr: 0.100000 +2021-06-19 22:45:19,567 epoch 13 - iter 132/226 - loss 8.97833542 - samples/sec: 16.47 - lr: 0.100000 +2021-06-19 22:46:00,888 epoch 13 - iter 154/226 - loss 9.03239419 - samples/sec: 17.04 - lr: 0.100000 +2021-06-19 22:46:42,578 epoch 13 - iter 176/226 - loss 9.00597063 - samples/sec: 16.89 - lr: 0.100000 +2021-06-19 22:47:21,532 epoch 13 - iter 198/226 - loss 8.95550609 - samples/sec: 18.07 - lr: 0.100000 +2021-06-19 22:48:06,315 epoch 13 - iter 220/226 - loss 8.94137419 - samples/sec: 15.72 - lr: 0.100000 +2021-06-19 22:48:18,860 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:48:18,862 EPOCH 13 done: loss 8.9129 - lr 0.1000000 +2021-06-19 22:48:18,865 BAD EPOCHS (no improvement): 0 +2021-06-19 22:48:18,872 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:48:59,753 epoch 14 - iter 22/226 - loss 8.84392829 - samples/sec: 17.22 - lr: 0.100000 +2021-06-19 22:49:42,640 epoch 14 - iter 44/226 - loss 8.45885655 - samples/sec: 16.42 - lr: 0.100000 +2021-06-19 22:50:25,081 epoch 14 - iter 66/226 - loss 8.54762257 - samples/sec: 16.59 - lr: 0.100000 +2021-06-19 22:51:04,069 epoch 14 - iter 88/226 - loss 8.47568540 - samples/sec: 18.06 - lr: 0.100000 +2021-06-19 22:51:45,391 epoch 14 - iter 110/226 - loss 8.53092376 - samples/sec: 17.04 - lr: 0.100000 +2021-06-19 22:52:25,647 epoch 14 - iter 132/226 - loss 8.61504260 - samples/sec: 17.49 - lr: 0.100000 +2021-06-19 22:53:06,403 epoch 14 - iter 154/226 - loss 8.59184340 - samples/sec: 17.28 - lr: 0.100000 +2021-06-19 22:53:46,135 epoch 14 - iter 176/226 - loss 8.63522834 - samples/sec: 17.72 - lr: 0.100000 +2021-06-19 22:54:27,822 epoch 14 - iter 198/226 - loss 8.62042970 - samples/sec: 16.89 - lr: 0.100000 +2021-06-19 22:55:10,936 epoch 14 - iter 220/226 - loss 8.60222888 - samples/sec: 16.33 - lr: 0.100000 +2021-06-19 22:55:21,316 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:55:21,319 EPOCH 14 done: loss 8.6050 - lr 0.1000000 +2021-06-19 22:55:21,321 BAD EPOCHS (no improvement): 0 +2021-06-19 22:55:21,331 ---------------------------------------------------------------------------------------------------- +2021-06-19 22:56:00,423 epoch 15 - iter 22/226 - loss 8.20291543 - samples/sec: 18.01 - lr: 0.100000 +2021-06-19 22:56:44,023 epoch 15 - iter 44/226 - loss 8.25892513 - samples/sec: 16.15 - lr: 0.100000 +2021-06-19 22:57:21,590 epoch 15 - iter 66/226 - loss 8.05686677 - samples/sec: 18.74 - lr: 0.100000 +2021-06-19 22:57:59,837 epoch 15 - iter 88/226 - loss 8.06577629 - samples/sec: 18.41 - lr: 0.100000 +2021-06-19 22:58:40,477 epoch 15 - iter 110/226 - loss 8.16359515 - samples/sec: 17.33 - lr: 0.100000 +2021-06-19 22:59:21,196 epoch 15 - iter 132/226 - loss 8.19209229 - samples/sec: 17.29 - lr: 0.100000 +2021-06-19 22:59:59,058 epoch 15 - iter 154/226 - loss 8.15920937 - samples/sec: 18.60 - lr: 0.100000 +2021-06-19 23:00:37,793 epoch 15 - iter 176/226 - loss 8.18621870 - samples/sec: 18.18 - lr: 0.100000 +2021-06-19 23:01:21,688 epoch 15 - iter 198/226 - loss 8.23668968 - samples/sec: 16.04 - lr: 0.100000 +2021-06-19 23:02:03,022 epoch 15 - iter 220/226 - loss 8.24812502 - samples/sec: 17.03 - lr: 0.100000 +2021-06-19 23:02:14,893 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:02:14,895 EPOCH 15 done: loss 8.2587 - lr 0.1000000 +2021-06-19 23:02:14,898 BAD EPOCHS (no improvement): 0 +2021-06-19 23:02:14,910 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:02:55,445 epoch 16 - iter 22/226 - loss 7.85084508 - samples/sec: 17.37 - lr: 0.100000 +2021-06-19 23:03:36,395 epoch 16 - iter 44/226 - loss 8.01590011 - samples/sec: 17.19 - lr: 0.100000 +2021-06-19 23:04:16,322 epoch 16 - iter 66/226 - loss 8.07053399 - samples/sec: 17.63 - lr: 0.100000 +2021-06-19 23:04:56,606 epoch 16 - iter 88/226 - loss 8.04866967 - samples/sec: 17.48 - lr: 0.100000 +2021-06-19 23:05:38,471 epoch 16 - iter 110/226 - loss 8.05501638 - samples/sec: 16.82 - lr: 0.100000 +2021-06-19 23:06:21,012 epoch 16 - iter 132/226 - loss 8.07193137 - samples/sec: 16.55 - lr: 0.100000 +2021-06-19 23:07:02,649 epoch 16 - iter 154/226 - loss 8.06227153 - samples/sec: 16.91 - lr: 0.100000 +2021-06-19 23:07:42,093 epoch 16 - iter 176/226 - loss 7.98726182 - samples/sec: 17.85 - lr: 0.100000 +2021-06-19 23:08:20,612 epoch 16 - iter 198/226 - loss 8.01218649 - samples/sec: 18.28 - lr: 0.100000 +2021-06-19 23:09:01,657 epoch 16 - iter 220/226 - loss 8.03297273 - samples/sec: 17.15 - lr: 0.100000 +2021-06-19 23:09:13,048 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:09:13,051 EPOCH 16 done: loss 8.0359 - lr 0.1000000 +2021-06-19 23:09:13,054 BAD EPOCHS (no improvement): 0 +2021-06-19 23:09:13,064 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:09:52,604 epoch 17 - iter 22/226 - loss 7.73607750 - samples/sec: 17.81 - lr: 0.100000 +2021-06-19 23:10:32,486 epoch 17 - iter 44/226 - loss 7.73928639 - samples/sec: 17.65 - lr: 0.100000 +2021-06-19 23:11:10,667 epoch 17 - iter 66/226 - loss 7.63883965 - samples/sec: 18.44 - lr: 0.100000 +2021-06-19 23:11:51,083 epoch 17 - iter 88/226 - loss 7.72254235 - samples/sec: 17.42 - lr: 0.100000 +2021-06-19 23:12:31,450 epoch 17 - iter 110/226 - loss 7.74242154 - samples/sec: 17.44 - lr: 0.100000 +2021-06-19 23:13:12,164 epoch 17 - iter 132/226 - loss 7.83541466 - samples/sec: 17.29 - lr: 0.100000 +2021-06-19 23:13:55,782 epoch 17 - iter 154/226 - loss 7.83672282 - samples/sec: 16.14 - lr: 0.100000 +2021-06-19 23:14:38,050 epoch 17 - iter 176/226 - loss 7.82949555 - samples/sec: 16.66 - lr: 0.100000 +2021-06-19 23:15:19,393 epoch 17 - iter 198/226 - loss 7.83686807 - samples/sec: 17.03 - lr: 0.100000 +2021-06-19 23:15:59,282 epoch 17 - iter 220/226 - loss 7.81393703 - samples/sec: 17.65 - lr: 0.100000 +2021-06-19 23:16:09,726 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:16:09,728 EPOCH 17 done: loss 7.8079 - lr 0.1000000 +2021-06-19 23:16:09,731 BAD EPOCHS (no improvement): 0 +2021-06-19 23:16:09,739 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:16:53,102 epoch 18 - iter 22/226 - loss 7.61838447 - samples/sec: 16.24 - lr: 0.100000 +2021-06-19 23:17:33,527 epoch 18 - iter 44/226 - loss 7.40776334 - samples/sec: 17.42 - lr: 0.100000 +2021-06-19 23:18:14,974 epoch 18 - iter 66/226 - loss 7.47467644 - samples/sec: 16.99 - lr: 0.100000 +2021-06-19 23:18:57,410 epoch 18 - iter 88/226 - loss 7.49323686 - samples/sec: 16.59 - lr: 0.100000 +2021-06-19 23:19:36,983 epoch 18 - iter 110/226 - loss 7.55506722 - samples/sec: 17.79 - lr: 0.100000 +2021-06-19 23:20:15,922 epoch 18 - iter 132/226 - loss 7.54478716 - samples/sec: 18.08 - lr: 0.100000 +2021-06-19 23:20:56,516 epoch 18 - iter 154/226 - loss 7.55942460 - samples/sec: 17.34 - lr: 0.100000 +2021-06-19 23:21:32,881 epoch 18 - iter 176/226 - loss 7.52175536 - samples/sec: 19.36 - lr: 0.100000 +2021-06-19 23:22:14,208 epoch 18 - iter 198/226 - loss 7.54639348 - samples/sec: 17.04 - lr: 0.100000 +2021-06-19 23:22:53,690 epoch 18 - iter 220/226 - loss 7.50872627 - samples/sec: 17.83 - lr: 0.100000 +2021-06-19 23:23:05,561 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:23:05,564 EPOCH 18 done: loss 7.5108 - lr 0.1000000 +2021-06-19 23:23:05,571 BAD EPOCHS (no improvement): 0 +2021-06-19 23:23:05,578 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:23:43,860 epoch 19 - iter 22/226 - loss 7.48604534 - samples/sec: 18.40 - lr: 0.100000 +2021-06-19 23:24:23,678 epoch 19 - iter 44/226 - loss 7.49531722 - samples/sec: 17.68 - lr: 0.100000 +2021-06-19 23:25:05,503 epoch 19 - iter 66/226 - loss 7.45181345 - samples/sec: 16.83 - lr: 0.100000 +2021-06-19 23:25:44,633 epoch 19 - iter 88/226 - loss 7.32403324 - samples/sec: 17.99 - lr: 0.100000 +2021-06-19 23:26:22,551 epoch 19 - iter 110/226 - loss 7.28483176 - samples/sec: 18.57 - lr: 0.100000 +2021-06-19 23:27:03,917 epoch 19 - iter 132/226 - loss 7.36751896 - samples/sec: 17.02 - lr: 0.100000 +2021-06-19 23:27:44,406 epoch 19 - iter 154/226 - loss 7.33174939 - samples/sec: 17.39 - lr: 0.100000 +2021-06-19 23:28:27,415 epoch 19 - iter 176/226 - loss 7.37987812 - samples/sec: 16.37 - lr: 0.100000 +2021-06-19 23:29:05,808 epoch 19 - iter 198/226 - loss 7.39995756 - samples/sec: 18.34 - lr: 0.100000 +2021-06-19 23:29:46,150 epoch 19 - iter 220/226 - loss 7.39203266 - samples/sec: 17.45 - lr: 0.100000 +2021-06-19 23:29:56,724 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:29:56,727 EPOCH 19 done: loss 7.3755 - lr 0.1000000 +2021-06-19 23:29:56,729 BAD EPOCHS (no improvement): 0 +2021-06-19 23:29:56,738 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:30:37,524 epoch 20 - iter 22/226 - loss 7.23530132 - samples/sec: 17.26 - lr: 0.100000 +2021-06-19 23:31:20,064 epoch 20 - iter 44/226 - loss 7.26172456 - samples/sec: 16.55 - lr: 0.100000 +2021-06-19 23:32:00,155 epoch 20 - iter 66/226 - loss 7.28719392 - samples/sec: 17.56 - lr: 0.100000 +2021-06-19 23:32:41,303 epoch 20 - iter 88/226 - loss 7.16712596 - samples/sec: 17.11 - lr: 0.100000 +2021-06-19 23:33:21,447 epoch 20 - iter 110/226 - loss 7.17164861 - samples/sec: 17.54 - lr: 0.100000 +2021-06-19 23:34:02,332 epoch 20 - iter 132/226 - loss 7.15996321 - samples/sec: 17.22 - lr: 0.100000 +2021-06-19 23:34:42,920 epoch 20 - iter 154/226 - loss 7.17665480 - samples/sec: 17.35 - lr: 0.100000 +2021-06-19 23:35:23,982 epoch 20 - iter 176/226 - loss 7.18347065 - samples/sec: 17.15 - lr: 0.100000 +2021-06-19 23:36:02,986 epoch 20 - iter 198/226 - loss 7.20951468 - samples/sec: 18.05 - lr: 0.100000 +2021-06-19 23:36:45,000 epoch 20 - iter 220/226 - loss 7.23041153 - samples/sec: 16.76 - lr: 0.100000 +2021-06-19 23:36:54,794 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:36:54,796 EPOCH 20 done: loss 7.2359 - lr 0.1000000 +2021-06-19 23:36:54,800 BAD EPOCHS (no improvement): 0 +2021-06-19 23:36:54,810 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:37:35,581 epoch 21 - iter 22/226 - loss 7.30053321 - samples/sec: 17.27 - lr: 0.100000 +2021-06-19 23:38:19,707 epoch 21 - iter 44/226 - loss 7.09783501 - samples/sec: 15.96 - lr: 0.100000 +2021-06-19 23:39:00,068 epoch 21 - iter 66/226 - loss 7.17730390 - samples/sec: 17.44 - lr: 0.100000 +2021-06-19 23:39:40,123 epoch 21 - iter 88/226 - loss 7.14830063 - samples/sec: 17.58 - lr: 0.100000 +2021-06-19 23:40:20,647 epoch 21 - iter 110/226 - loss 7.14108107 - samples/sec: 17.37 - lr: 0.100000 +2021-06-19 23:40:59,713 epoch 21 - iter 132/226 - loss 7.15385366 - samples/sec: 18.02 - lr: 0.100000 +2021-06-19 23:41:40,953 epoch 21 - iter 154/226 - loss 7.18645169 - samples/sec: 17.07 - lr: 0.100000 +2021-06-19 23:42:22,006 epoch 21 - iter 176/226 - loss 7.12468719 - samples/sec: 17.15 - lr: 0.100000 +2021-06-19 23:43:00,881 epoch 21 - iter 198/226 - loss 7.07686092 - samples/sec: 18.11 - lr: 0.100000 +2021-06-19 23:43:40,102 epoch 21 - iter 220/226 - loss 7.07087665 - samples/sec: 17.95 - lr: 0.100000 +2021-06-19 23:43:51,394 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:43:51,399 EPOCH 21 done: loss 7.0881 - lr 0.1000000 +2021-06-19 23:43:51,401 BAD EPOCHS (no improvement): 0 +2021-06-19 23:43:51,407 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:44:32,854 epoch 22 - iter 22/226 - loss 6.64232271 - samples/sec: 16.99 - lr: 0.100000 +2021-06-19 23:45:12,726 epoch 22 - iter 44/226 - loss 6.69444893 - samples/sec: 17.66 - lr: 0.100000 +2021-06-19 23:45:55,000 epoch 22 - iter 66/226 - loss 6.85103811 - samples/sec: 16.66 - lr: 0.100000 +2021-06-19 23:46:34,715 epoch 22 - iter 88/226 - loss 6.91085123 - samples/sec: 17.73 - lr: 0.100000 +2021-06-19 23:47:15,582 epoch 22 - iter 110/226 - loss 6.95610839 - samples/sec: 17.23 - lr: 0.100000 +2021-06-19 23:47:54,605 epoch 22 - iter 132/226 - loss 6.88492396 - samples/sec: 18.04 - lr: 0.100000 +2021-06-19 23:48:33,666 epoch 22 - iter 154/226 - loss 6.85387974 - samples/sec: 18.03 - lr: 0.100000 +2021-06-19 23:49:16,131 epoch 22 - iter 176/226 - loss 6.83927820 - samples/sec: 16.58 - lr: 0.100000 +2021-06-19 23:49:55,615 epoch 22 - iter 198/226 - loss 6.82188749 - samples/sec: 17.83 - lr: 0.100000 +2021-06-19 23:50:39,061 epoch 22 - iter 220/226 - loss 6.82482482 - samples/sec: 16.21 - lr: 0.100000 +2021-06-19 23:50:49,759 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:50:49,762 EPOCH 22 done: loss 6.8120 - lr 0.1000000 +2021-06-19 23:50:49,764 BAD EPOCHS (no improvement): 0 +2021-06-19 23:50:49,774 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:51:29,387 epoch 23 - iter 22/226 - loss 6.29884395 - samples/sec: 17.77 - lr: 0.100000 +2021-06-19 23:52:11,947 epoch 23 - iter 44/226 - loss 6.47764650 - samples/sec: 16.54 - lr: 0.100000 +2021-06-19 23:52:53,147 epoch 23 - iter 66/226 - loss 6.66980069 - samples/sec: 17.09 - lr: 0.100000 +2021-06-19 23:53:33,116 epoch 23 - iter 88/226 - loss 6.63986526 - samples/sec: 17.62 - lr: 0.100000 +2021-06-19 23:54:12,571 epoch 23 - iter 110/226 - loss 6.62821735 - samples/sec: 17.85 - lr: 0.100000 +2021-06-19 23:54:51,573 epoch 23 - iter 132/226 - loss 6.60830817 - samples/sec: 18.05 - lr: 0.100000 +2021-06-19 23:55:30,048 epoch 23 - iter 154/226 - loss 6.59467639 - samples/sec: 18.30 - lr: 0.100000 +2021-06-19 23:56:10,552 epoch 23 - iter 176/226 - loss 6.65256411 - samples/sec: 17.38 - lr: 0.100000 +2021-06-19 23:56:49,899 epoch 23 - iter 198/226 - loss 6.67760521 - samples/sec: 17.89 - lr: 0.100000 +2021-06-19 23:57:31,921 epoch 23 - iter 220/226 - loss 6.69960308 - samples/sec: 16.76 - lr: 0.100000 +2021-06-19 23:57:41,696 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:57:41,698 EPOCH 23 done: loss 6.6855 - lr 0.1000000 +2021-06-19 23:57:41,701 BAD EPOCHS (no improvement): 0 +2021-06-19 23:57:41,713 ---------------------------------------------------------------------------------------------------- +2021-06-19 23:58:24,721 epoch 24 - iter 22/226 - loss 6.68739072 - samples/sec: 16.37 - lr: 0.100000 +2021-06-19 23:59:06,113 epoch 24 - iter 44/226 - loss 6.36426100 - samples/sec: 17.01 - lr: 0.100000 +2021-06-19 23:59:45,169 epoch 24 - iter 66/226 - loss 6.41039694 - samples/sec: 18.03 - lr: 0.100000 +2021-06-20 00:00:26,800 epoch 24 - iter 88/226 - loss 6.38564957 - samples/sec: 16.91 - lr: 0.100000 +2021-06-20 00:01:07,107 epoch 24 - iter 110/226 - loss 6.44013370 - samples/sec: 17.47 - lr: 0.100000 +2021-06-20 00:01:51,848 epoch 24 - iter 132/226 - loss 6.41785277 - samples/sec: 15.74 - lr: 0.100000 +2021-06-20 00:02:28,527 epoch 24 - iter 154/226 - loss 6.35064726 - samples/sec: 19.20 - lr: 0.100000 +2021-06-20 00:03:08,276 epoch 24 - iter 176/226 - loss 6.40311042 - samples/sec: 17.71 - lr: 0.100000 +2021-06-20 00:03:47,920 epoch 24 - iter 198/226 - loss 6.43459685 - samples/sec: 17.76 - lr: 0.100000 +2021-06-20 00:04:28,575 epoch 24 - iter 220/226 - loss 6.45429507 - samples/sec: 17.32 - lr: 0.100000 +2021-06-20 00:04:39,626 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:04:39,629 EPOCH 24 done: loss 6.4586 - lr 0.1000000 +2021-06-20 00:04:39,632 BAD EPOCHS (no improvement): 0 +2021-06-20 00:04:39,643 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:05:21,338 epoch 25 - iter 22/226 - loss 6.16224094 - samples/sec: 16.89 - lr: 0.100000 +2021-06-20 00:06:01,728 epoch 25 - iter 44/226 - loss 6.15059454 - samples/sec: 17.43 - lr: 0.100000 +2021-06-20 00:06:43,342 epoch 25 - iter 66/226 - loss 6.29865092 - samples/sec: 16.92 - lr: 0.100000 +2021-06-20 00:07:23,417 epoch 25 - iter 88/226 - loss 6.27962904 - samples/sec: 17.57 - lr: 0.100000 +2021-06-20 00:08:05,249 epoch 25 - iter 110/226 - loss 6.30213635 - samples/sec: 16.83 - lr: 0.100000 +2021-06-20 00:08:46,617 epoch 25 - iter 132/226 - loss 6.38721075 - samples/sec: 17.02 - lr: 0.100000 +2021-06-20 00:09:27,728 epoch 25 - iter 154/226 - loss 6.42476559 - samples/sec: 17.13 - lr: 0.100000 +2021-06-20 00:10:08,445 epoch 25 - iter 176/226 - loss 6.43641129 - samples/sec: 17.29 - lr: 0.100000 +2021-06-20 00:10:46,976 epoch 25 - iter 198/226 - loss 6.42104139 - samples/sec: 18.27 - lr: 0.100000 +2021-06-20 00:11:27,809 epoch 25 - iter 220/226 - loss 6.42280574 - samples/sec: 17.24 - lr: 0.100000 +2021-06-20 00:11:36,811 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:11:36,814 EPOCH 25 done: loss 6.4209 - lr 0.1000000 +2021-06-20 00:11:36,817 BAD EPOCHS (no improvement): 0 +2021-06-20 00:11:36,827 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:12:16,178 epoch 26 - iter 22/226 - loss 5.97418349 - samples/sec: 17.89 - lr: 0.100000 +2021-06-20 00:12:57,960 epoch 26 - iter 44/226 - loss 6.28336235 - samples/sec: 16.85 - lr: 0.100000 +2021-06-20 00:13:39,392 epoch 26 - iter 66/226 - loss 6.13415751 - samples/sec: 16.99 - lr: 0.100000 +2021-06-20 00:14:20,218 epoch 26 - iter 88/226 - loss 6.14499000 - samples/sec: 17.25 - lr: 0.100000 +2021-06-20 00:14:58,116 epoch 26 - iter 110/226 - loss 6.13282369 - samples/sec: 18.58 - lr: 0.100000 +2021-06-20 00:15:39,741 epoch 26 - iter 132/226 - loss 6.18380633 - samples/sec: 16.92 - lr: 0.100000 +2021-06-20 00:16:20,910 epoch 26 - iter 154/226 - loss 6.23610414 - samples/sec: 17.10 - lr: 0.100000 +2021-06-20 00:17:01,417 epoch 26 - iter 176/226 - loss 6.24192940 - samples/sec: 17.38 - lr: 0.100000 +2021-06-20 00:17:41,568 epoch 26 - iter 198/226 - loss 6.22170579 - samples/sec: 17.54 - lr: 0.100000 +2021-06-20 00:18:22,839 epoch 26 - iter 220/226 - loss 6.24607339 - samples/sec: 17.06 - lr: 0.100000 +2021-06-20 00:18:33,095 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:18:33,097 EPOCH 26 done: loss 6.2509 - lr 0.1000000 +2021-06-20 00:18:33,099 BAD EPOCHS (no improvement): 0 +2021-06-20 00:18:33,109 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:19:12,839 epoch 27 - iter 22/226 - loss 5.85187230 - samples/sec: 17.72 - lr: 0.100000 +2021-06-20 00:19:53,381 epoch 27 - iter 44/226 - loss 5.92555925 - samples/sec: 17.37 - lr: 0.100000 +2021-06-20 00:20:33,809 epoch 27 - iter 66/226 - loss 6.00869643 - samples/sec: 17.42 - lr: 0.100000 +2021-06-20 00:21:15,819 epoch 27 - iter 88/226 - loss 6.04808531 - samples/sec: 16.76 - lr: 0.100000 +2021-06-20 00:21:56,591 epoch 27 - iter 110/226 - loss 6.06147181 - samples/sec: 17.27 - lr: 0.100000 +2021-06-20 00:22:37,677 epoch 27 - iter 132/226 - loss 6.06967523 - samples/sec: 17.14 - lr: 0.100000 +2021-06-20 00:23:17,470 epoch 27 - iter 154/226 - loss 6.03885064 - samples/sec: 17.69 - lr: 0.100000 +2021-06-20 00:23:58,919 epoch 27 - iter 176/226 - loss 6.06981588 - samples/sec: 16.99 - lr: 0.100000 +2021-06-20 00:24:38,543 epoch 27 - iter 198/226 - loss 6.06521968 - samples/sec: 17.77 - lr: 0.100000 +2021-06-20 00:25:18,856 epoch 27 - iter 220/226 - loss 6.10824347 - samples/sec: 17.47 - lr: 0.100000 +2021-06-20 00:25:29,156 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:25:29,159 EPOCH 27 done: loss 6.1160 - lr 0.1000000 +2021-06-20 00:25:29,163 BAD EPOCHS (no improvement): 0 +2021-06-20 00:25:29,172 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:26:10,116 epoch 28 - iter 22/226 - loss 5.96908591 - samples/sec: 17.20 - lr: 0.100000 +2021-06-20 00:26:49,033 epoch 28 - iter 44/226 - loss 6.02763221 - samples/sec: 18.09 - lr: 0.100000 +2021-06-20 00:27:30,067 epoch 28 - iter 66/226 - loss 6.09574208 - samples/sec: 17.16 - lr: 0.100000 +2021-06-20 00:28:11,996 epoch 28 - iter 88/226 - loss 6.07220777 - samples/sec: 16.79 - lr: 0.100000 +2021-06-20 00:28:55,503 epoch 28 - iter 110/226 - loss 6.03855952 - samples/sec: 16.18 - lr: 0.100000 +2021-06-20 00:29:34,485 epoch 28 - iter 132/226 - loss 6.02940369 - samples/sec: 18.06 - lr: 0.100000 +2021-06-20 00:30:14,866 epoch 28 - iter 154/226 - loss 6.05598663 - samples/sec: 17.44 - lr: 0.100000 +2021-06-20 00:30:53,005 epoch 28 - iter 176/226 - loss 6.05275788 - samples/sec: 18.46 - lr: 0.100000 +2021-06-20 00:31:33,506 epoch 28 - iter 198/226 - loss 6.03800196 - samples/sec: 17.38 - lr: 0.100000 +2021-06-20 00:32:14,845 epoch 28 - iter 220/226 - loss 6.03729972 - samples/sec: 17.03 - lr: 0.100000 +2021-06-20 00:32:25,941 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:32:25,943 EPOCH 28 done: loss 6.0360 - lr 0.1000000 +2021-06-20 00:32:25,946 BAD EPOCHS (no improvement): 0 +2021-06-20 00:32:25,955 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:33:07,187 epoch 29 - iter 22/226 - loss 5.74807980 - samples/sec: 17.08 - lr: 0.100000 +2021-06-20 00:33:50,276 epoch 29 - iter 44/226 - loss 5.92802409 - samples/sec: 16.34 - lr: 0.100000 +2021-06-20 00:34:30,335 epoch 29 - iter 66/226 - loss 5.95917593 - samples/sec: 17.58 - lr: 0.100000 +2021-06-20 00:35:11,470 epoch 29 - iter 88/226 - loss 6.03759176 - samples/sec: 17.12 - lr: 0.100000 +2021-06-20 00:35:50,731 epoch 29 - iter 110/226 - loss 6.02328456 - samples/sec: 17.93 - lr: 0.100000 +2021-06-20 00:36:34,392 epoch 29 - iter 132/226 - loss 5.98062685 - samples/sec: 16.13 - lr: 0.100000 +2021-06-20 00:37:14,737 epoch 29 - iter 154/226 - loss 5.98377217 - samples/sec: 17.45 - lr: 0.100000 +2021-06-20 00:37:55,629 epoch 29 - iter 176/226 - loss 5.98044431 - samples/sec: 17.22 - lr: 0.100000 +2021-06-20 00:38:34,375 epoch 29 - iter 198/226 - loss 5.98149234 - samples/sec: 18.17 - lr: 0.100000 +2021-06-20 00:39:15,032 epoch 29 - iter 220/226 - loss 5.95315865 - samples/sec: 17.32 - lr: 0.100000 +2021-06-20 00:39:26,263 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:39:26,267 EPOCH 29 done: loss 5.9698 - lr 0.1000000 +2021-06-20 00:39:26,269 BAD EPOCHS (no improvement): 0 +2021-06-20 00:39:26,277 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:40:08,659 epoch 30 - iter 22/226 - loss 5.61955036 - samples/sec: 16.61 - lr: 0.100000 +2021-06-20 00:40:45,752 epoch 30 - iter 44/226 - loss 5.45146234 - samples/sec: 18.98 - lr: 0.100000 +2021-06-20 00:41:26,250 epoch 30 - iter 66/226 - loss 5.55154574 - samples/sec: 17.39 - lr: 0.100000 +2021-06-20 00:42:06,647 epoch 30 - iter 88/226 - loss 5.58797041 - samples/sec: 17.43 - lr: 0.100000 +2021-06-20 00:42:46,349 epoch 30 - iter 110/226 - loss 5.60831777 - samples/sec: 17.73 - lr: 0.100000 +2021-06-20 00:43:28,351 epoch 30 - iter 132/226 - loss 5.68233821 - samples/sec: 16.76 - lr: 0.100000 +2021-06-20 00:44:12,311 epoch 30 - iter 154/226 - loss 5.72120254 - samples/sec: 16.02 - lr: 0.100000 +2021-06-20 00:44:53,971 epoch 30 - iter 176/226 - loss 5.71837504 - samples/sec: 16.90 - lr: 0.100000 +2021-06-20 00:45:34,597 epoch 30 - iter 198/226 - loss 5.74910328 - samples/sec: 17.33 - lr: 0.100000 +2021-06-20 00:46:13,764 epoch 30 - iter 220/226 - loss 5.75022198 - samples/sec: 17.98 - lr: 0.100000 +2021-06-20 00:46:26,555 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:46:26,558 EPOCH 30 done: loss 5.7598 - lr 0.1000000 +2021-06-20 00:46:26,561 BAD EPOCHS (no improvement): 0 +2021-06-20 00:46:26,569 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:47:05,888 epoch 31 - iter 22/226 - loss 5.78018022 - samples/sec: 17.91 - lr: 0.100000 +2021-06-20 00:47:47,572 epoch 31 - iter 44/226 - loss 5.61437650 - samples/sec: 16.89 - lr: 0.100000 +2021-06-20 00:48:28,776 epoch 31 - iter 66/226 - loss 5.64397382 - samples/sec: 17.09 - lr: 0.100000 +2021-06-20 00:49:07,187 epoch 31 - iter 88/226 - loss 5.57637811 - samples/sec: 18.33 - lr: 0.100000 +2021-06-20 00:49:49,688 epoch 31 - iter 110/226 - loss 5.69586064 - samples/sec: 16.57 - lr: 0.100000 +2021-06-20 00:50:31,424 epoch 31 - iter 132/226 - loss 5.66740198 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 00:51:12,494 epoch 31 - iter 154/226 - loss 5.66870023 - samples/sec: 17.14 - lr: 0.100000 +2021-06-20 00:51:52,040 epoch 31 - iter 176/226 - loss 5.67501788 - samples/sec: 17.80 - lr: 0.100000 +2021-06-20 00:52:30,826 epoch 31 - iter 198/226 - loss 5.67489910 - samples/sec: 18.15 - lr: 0.100000 +2021-06-20 00:53:11,976 epoch 31 - iter 220/226 - loss 5.69657542 - samples/sec: 17.11 - lr: 0.100000 +2021-06-20 00:53:21,951 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:53:21,955 EPOCH 31 done: loss 5.6895 - lr 0.1000000 +2021-06-20 00:53:21,961 BAD EPOCHS (no improvement): 0 +2021-06-20 00:53:21,967 ---------------------------------------------------------------------------------------------------- +2021-06-20 00:54:03,510 epoch 32 - iter 22/226 - loss 5.34118999 - samples/sec: 16.95 - lr: 0.100000 +2021-06-20 00:54:43,491 epoch 32 - iter 44/226 - loss 5.40023369 - samples/sec: 17.61 - lr: 0.100000 +2021-06-20 00:55:24,930 epoch 32 - iter 66/226 - loss 5.50604292 - samples/sec: 16.99 - lr: 0.100000 +2021-06-20 00:56:03,494 epoch 32 - iter 88/226 - loss 5.52452860 - samples/sec: 18.26 - lr: 0.100000 +2021-06-20 00:56:43,273 epoch 32 - iter 110/226 - loss 5.50124368 - samples/sec: 17.70 - lr: 0.100000 +2021-06-20 00:57:24,104 epoch 32 - iter 132/226 - loss 5.49244575 - samples/sec: 17.24 - lr: 0.100000 +2021-06-20 00:58:05,644 epoch 32 - iter 154/226 - loss 5.50807215 - samples/sec: 16.95 - lr: 0.100000 +2021-06-20 00:58:44,655 epoch 32 - iter 176/226 - loss 5.54000293 - samples/sec: 18.05 - lr: 0.100000 +2021-06-20 00:59:25,181 epoch 32 - iter 198/226 - loss 5.52410917 - samples/sec: 17.37 - lr: 0.100000 +2021-06-20 01:00:08,834 epoch 32 - iter 220/226 - loss 5.54605171 - samples/sec: 16.13 - lr: 0.100000 +2021-06-20 01:00:20,095 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:00:20,098 EPOCH 32 done: loss 5.5293 - lr 0.1000000 +2021-06-20 01:00:20,101 BAD EPOCHS (no improvement): 0 +2021-06-20 01:00:20,113 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:00:59,419 epoch 33 - iter 22/226 - loss 5.34580387 - samples/sec: 17.91 - lr: 0.100000 +2021-06-20 01:01:40,518 epoch 33 - iter 44/226 - loss 5.37489976 - samples/sec: 17.13 - lr: 0.100000 +2021-06-20 01:02:21,430 epoch 33 - iter 66/226 - loss 5.39985917 - samples/sec: 17.21 - lr: 0.100000 +2021-06-20 01:03:00,973 epoch 33 - iter 88/226 - loss 5.47907344 - samples/sec: 17.81 - lr: 0.100000 +2021-06-20 01:03:44,000 epoch 33 - iter 110/226 - loss 5.48392062 - samples/sec: 16.36 - lr: 0.100000 +2021-06-20 01:04:24,931 epoch 33 - iter 132/226 - loss 5.41889935 - samples/sec: 17.20 - lr: 0.100000 +2021-06-20 01:05:08,209 epoch 33 - iter 154/226 - loss 5.46046902 - samples/sec: 16.27 - lr: 0.100000 +2021-06-20 01:05:45,145 epoch 33 - iter 176/226 - loss 5.48743550 - samples/sec: 19.06 - lr: 0.100000 +2021-06-20 01:06:25,037 epoch 33 - iter 198/226 - loss 5.50186966 - samples/sec: 17.65 - lr: 0.100000 +2021-06-20 01:07:04,920 epoch 33 - iter 220/226 - loss 5.47988672 - samples/sec: 17.65 - lr: 0.100000 +2021-06-20 01:07:14,809 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:07:14,811 EPOCH 33 done: loss 5.4880 - lr 0.1000000 +2021-06-20 01:07:14,814 BAD EPOCHS (no improvement): 0 +2021-06-20 01:07:14,824 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:07:54,561 epoch 34 - iter 22/226 - loss 4.99060655 - samples/sec: 17.72 - lr: 0.100000 +2021-06-20 01:08:37,152 epoch 34 - iter 44/226 - loss 5.30735019 - samples/sec: 16.53 - lr: 0.100000 +2021-06-20 01:09:16,244 epoch 34 - iter 66/226 - loss 5.22981951 - samples/sec: 18.01 - lr: 0.100000 +2021-06-20 01:09:57,491 epoch 34 - iter 88/226 - loss 5.27320788 - samples/sec: 17.07 - lr: 0.100000 +2021-06-20 01:10:38,763 epoch 34 - iter 110/226 - loss 5.24850624 - samples/sec: 17.06 - lr: 0.100000 +2021-06-20 01:11:19,623 epoch 34 - iter 132/226 - loss 5.23107820 - samples/sec: 17.23 - lr: 0.100000 +2021-06-20 01:12:01,056 epoch 34 - iter 154/226 - loss 5.29679285 - samples/sec: 16.99 - lr: 0.100000 +2021-06-20 01:12:40,835 epoch 34 - iter 176/226 - loss 5.33411279 - samples/sec: 17.70 - lr: 0.100000 +2021-06-20 01:13:21,097 epoch 34 - iter 198/226 - loss 5.35017545 - samples/sec: 17.49 - lr: 0.100000 +2021-06-20 01:14:00,291 epoch 34 - iter 220/226 - loss 5.35649032 - samples/sec: 17.96 - lr: 0.100000 +2021-06-20 01:14:11,141 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:14:11,143 EPOCH 34 done: loss 5.3588 - lr 0.1000000 +2021-06-20 01:14:11,148 BAD EPOCHS (no improvement): 0 +2021-06-20 01:14:11,161 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:14:49,684 epoch 35 - iter 22/226 - loss 5.01343284 - samples/sec: 18.28 - lr: 0.100000 +2021-06-20 01:15:29,925 epoch 35 - iter 44/226 - loss 5.27853618 - samples/sec: 17.50 - lr: 0.100000 +2021-06-20 01:16:10,321 epoch 35 - iter 66/226 - loss 5.24159253 - samples/sec: 17.43 - lr: 0.100000 +2021-06-20 01:16:49,646 epoch 35 - iter 88/226 - loss 5.25663784 - samples/sec: 17.91 - lr: 0.100000 +2021-06-20 01:17:33,145 epoch 35 - iter 110/226 - loss 5.29403046 - samples/sec: 16.19 - lr: 0.100000 +2021-06-20 01:18:12,132 epoch 35 - iter 132/226 - loss 5.35462751 - samples/sec: 18.06 - lr: 0.100000 +2021-06-20 01:18:52,027 epoch 35 - iter 154/226 - loss 5.35083315 - samples/sec: 17.65 - lr: 0.100000 +2021-06-20 01:19:34,241 epoch 35 - iter 176/226 - loss 5.33254068 - samples/sec: 16.68 - lr: 0.100000 +2021-06-20 01:20:15,544 epoch 35 - iter 198/226 - loss 5.37542331 - samples/sec: 17.05 - lr: 0.100000 +2021-06-20 01:20:57,125 epoch 35 - iter 220/226 - loss 5.37694357 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 01:21:07,459 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:21:07,462 EPOCH 35 done: loss 5.3769 - lr 0.1000000 +2021-06-20 01:21:07,464 BAD EPOCHS (no improvement): 1 +2021-06-20 01:21:07,476 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:21:49,292 epoch 36 - iter 22/226 - loss 5.37435510 - samples/sec: 16.84 - lr: 0.100000 +2021-06-20 01:22:31,759 epoch 36 - iter 44/226 - loss 5.43117194 - samples/sec: 16.58 - lr: 0.100000 +2021-06-20 01:23:09,872 epoch 36 - iter 66/226 - loss 5.22796838 - samples/sec: 18.47 - lr: 0.100000 +2021-06-20 01:23:51,742 epoch 36 - iter 88/226 - loss 5.34430501 - samples/sec: 16.82 - lr: 0.100000 +2021-06-20 01:24:32,509 epoch 36 - iter 110/226 - loss 5.28313650 - samples/sec: 17.27 - lr: 0.100000 +2021-06-20 01:25:13,089 epoch 36 - iter 132/226 - loss 5.25265957 - samples/sec: 17.35 - lr: 0.100000 +2021-06-20 01:25:52,353 epoch 36 - iter 154/226 - loss 5.25589329 - samples/sec: 17.93 - lr: 0.100000 +2021-06-20 01:26:33,900 epoch 36 - iter 176/226 - loss 5.28189728 - samples/sec: 16.95 - lr: 0.100000 +2021-06-20 01:27:13,907 epoch 36 - iter 198/226 - loss 5.29002005 - samples/sec: 17.60 - lr: 0.100000 +2021-06-20 01:27:53,522 epoch 36 - iter 220/226 - loss 5.24747661 - samples/sec: 17.77 - lr: 0.100000 +2021-06-20 01:28:02,598 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:28:02,601 EPOCH 36 done: loss 5.2364 - lr 0.1000000 +2021-06-20 01:28:02,603 BAD EPOCHS (no improvement): 0 +2021-06-20 01:28:02,610 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:28:43,774 epoch 37 - iter 22/226 - loss 4.61840435 - samples/sec: 17.10 - lr: 0.100000 +2021-06-20 01:29:23,666 epoch 37 - iter 44/226 - loss 4.85291860 - samples/sec: 17.65 - lr: 0.100000 +2021-06-20 01:30:01,292 epoch 37 - iter 66/226 - loss 4.95288432 - samples/sec: 18.71 - lr: 0.100000 +2021-06-20 01:30:41,534 epoch 37 - iter 88/226 - loss 5.06951504 - samples/sec: 17.50 - lr: 0.100000 +2021-06-20 01:31:23,252 epoch 37 - iter 110/226 - loss 5.04127476 - samples/sec: 16.88 - lr: 0.100000 +2021-06-20 01:32:01,811 epoch 37 - iter 132/226 - loss 5.04073388 - samples/sec: 18.26 - lr: 0.100000 +2021-06-20 01:32:41,798 epoch 37 - iter 154/226 - loss 5.03275630 - samples/sec: 17.61 - lr: 0.100000 +2021-06-20 01:33:29,579 epoch 37 - iter 176/226 - loss 5.05764502 - samples/sec: 14.74 - lr: 0.100000 +2021-06-20 01:34:11,832 epoch 37 - iter 198/226 - loss 5.08626485 - samples/sec: 16.66 - lr: 0.100000 +2021-06-20 01:34:52,625 epoch 37 - iter 220/226 - loss 5.09525790 - samples/sec: 17.26 - lr: 0.100000 +2021-06-20 01:35:02,995 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:35:02,999 EPOCH 37 done: loss 5.1012 - lr 0.1000000 +2021-06-20 01:35:03,002 BAD EPOCHS (no improvement): 0 +2021-06-20 01:35:03,013 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:35:44,649 epoch 38 - iter 22/226 - loss 4.80456242 - samples/sec: 16.91 - lr: 0.100000 +2021-06-20 01:36:28,261 epoch 38 - iter 44/226 - loss 5.10137155 - samples/sec: 16.14 - lr: 0.100000 +2021-06-20 01:37:09,271 epoch 38 - iter 66/226 - loss 5.04630431 - samples/sec: 17.17 - lr: 0.100000 +2021-06-20 01:37:50,942 epoch 38 - iter 88/226 - loss 5.00841100 - samples/sec: 16.90 - lr: 0.100000 +2021-06-20 01:38:28,764 epoch 38 - iter 110/226 - loss 5.01854188 - samples/sec: 18.62 - lr: 0.100000 +2021-06-20 01:39:09,782 epoch 38 - iter 132/226 - loss 5.05215205 - samples/sec: 17.17 - lr: 0.100000 +2021-06-20 01:39:50,810 epoch 38 - iter 154/226 - loss 5.09308343 - samples/sec: 17.16 - lr: 0.100000 +2021-06-20 01:40:31,205 epoch 38 - iter 176/226 - loss 5.07228454 - samples/sec: 17.43 - lr: 0.100000 +2021-06-20 01:41:15,223 epoch 38 - iter 198/226 - loss 5.09672614 - samples/sec: 16.00 - lr: 0.100000 +2021-06-20 01:41:55,113 epoch 38 - iter 220/226 - loss 5.10433704 - samples/sec: 17.65 - lr: 0.100000 +2021-06-20 01:42:07,307 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:42:07,310 EPOCH 38 done: loss 5.1134 - lr 0.1000000 +2021-06-20 01:42:07,313 BAD EPOCHS (no improvement): 1 +2021-06-20 01:42:07,327 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:42:51,230 epoch 39 - iter 22/226 - loss 5.07745487 - samples/sec: 16.04 - lr: 0.100000 +2021-06-20 01:43:32,108 epoch 39 - iter 44/226 - loss 5.05978445 - samples/sec: 17.22 - lr: 0.100000 +2021-06-20 01:44:11,869 epoch 39 - iter 66/226 - loss 5.02952795 - samples/sec: 17.71 - lr: 0.100000 +2021-06-20 01:44:51,502 epoch 39 - iter 88/226 - loss 5.01217402 - samples/sec: 17.77 - lr: 0.100000 +2021-06-20 01:45:30,725 epoch 39 - iter 110/226 - loss 5.01936149 - samples/sec: 17.95 - lr: 0.100000 +2021-06-20 01:46:13,426 epoch 39 - iter 132/226 - loss 5.00285501 - samples/sec: 16.49 - lr: 0.100000 +2021-06-20 01:46:56,494 epoch 39 - iter 154/226 - loss 5.00867301 - samples/sec: 16.35 - lr: 0.100000 +2021-06-20 01:47:37,428 epoch 39 - iter 176/226 - loss 5.04833398 - samples/sec: 17.20 - lr: 0.100000 +2021-06-20 01:48:16,608 epoch 39 - iter 198/226 - loss 5.06962118 - samples/sec: 17.97 - lr: 0.100000 +2021-06-20 01:48:57,442 epoch 39 - iter 220/226 - loss 5.07109449 - samples/sec: 17.24 - lr: 0.100000 +2021-06-20 01:49:09,639 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:49:09,643 EPOCH 39 done: loss 5.0647 - lr 0.1000000 +2021-06-20 01:49:09,645 BAD EPOCHS (no improvement): 0 +2021-06-20 01:49:09,652 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:49:49,703 epoch 40 - iter 22/226 - loss 4.84515424 - samples/sec: 17.58 - lr: 0.100000 +2021-06-20 01:50:33,042 epoch 40 - iter 44/226 - loss 4.80118025 - samples/sec: 16.25 - lr: 0.100000 +2021-06-20 01:51:13,460 epoch 40 - iter 66/226 - loss 4.91444419 - samples/sec: 17.42 - lr: 0.100000 +2021-06-20 01:51:53,424 epoch 40 - iter 88/226 - loss 4.99085534 - samples/sec: 17.62 - lr: 0.100000 +2021-06-20 01:52:34,488 epoch 40 - iter 110/226 - loss 4.95591112 - samples/sec: 17.15 - lr: 0.100000 +2021-06-20 01:53:18,398 epoch 40 - iter 132/226 - loss 4.97368125 - samples/sec: 16.03 - lr: 0.100000 +2021-06-20 01:53:58,672 epoch 40 - iter 154/226 - loss 4.97608495 - samples/sec: 17.48 - lr: 0.100000 +2021-06-20 01:54:38,961 epoch 40 - iter 176/226 - loss 4.95849802 - samples/sec: 17.48 - lr: 0.100000 +2021-06-20 01:55:23,006 epoch 40 - iter 198/226 - loss 4.95319895 - samples/sec: 15.99 - lr: 0.100000 +2021-06-20 01:56:03,621 epoch 40 - iter 220/226 - loss 4.95319919 - samples/sec: 17.34 - lr: 0.100000 +2021-06-20 01:56:13,927 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:56:13,931 EPOCH 40 done: loss 4.9568 - lr 0.1000000 +2021-06-20 01:56:13,934 BAD EPOCHS (no improvement): 0 +2021-06-20 01:56:13,946 ---------------------------------------------------------------------------------------------------- +2021-06-20 01:56:56,025 epoch 41 - iter 22/226 - loss 4.94902391 - samples/sec: 16.73 - lr: 0.100000 +2021-06-20 01:57:33,287 epoch 41 - iter 44/226 - loss 4.77676611 - samples/sec: 18.90 - lr: 0.100000 +2021-06-20 01:58:13,936 epoch 41 - iter 66/226 - loss 4.77445047 - samples/sec: 17.32 - lr: 0.100000 +2021-06-20 01:58:55,524 epoch 41 - iter 88/226 - loss 4.84428971 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 01:59:36,059 epoch 41 - iter 110/226 - loss 4.85460842 - samples/sec: 17.37 - lr: 0.100000 +2021-06-20 02:00:17,719 epoch 41 - iter 132/226 - loss 4.83235409 - samples/sec: 16.90 - lr: 0.100000 +2021-06-20 02:01:01,443 epoch 41 - iter 154/226 - loss 4.86793889 - samples/sec: 16.10 - lr: 0.100000 +2021-06-20 02:01:42,516 epoch 41 - iter 176/226 - loss 4.85373742 - samples/sec: 17.14 - lr: 0.100000 +2021-06-20 02:02:26,901 epoch 41 - iter 198/226 - loss 4.85652962 - samples/sec: 15.86 - lr: 0.100000 +2021-06-20 02:03:05,958 epoch 41 - iter 220/226 - loss 4.84015149 - samples/sec: 18.03 - lr: 0.100000 +2021-06-20 02:03:15,865 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:03:15,867 EPOCH 41 done: loss 4.8501 - lr 0.1000000 +2021-06-20 02:03:15,875 BAD EPOCHS (no improvement): 0 +2021-06-20 02:03:15,883 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:03:56,406 epoch 42 - iter 22/226 - loss 4.98497922 - samples/sec: 17.38 - lr: 0.100000 +2021-06-20 02:04:39,020 epoch 42 - iter 44/226 - loss 4.89374413 - samples/sec: 16.52 - lr: 0.100000 +2021-06-20 02:05:20,521 epoch 42 - iter 66/226 - loss 4.92026459 - samples/sec: 16.97 - lr: 0.100000 +2021-06-20 02:06:02,495 epoch 42 - iter 88/226 - loss 4.83089165 - samples/sec: 16.78 - lr: 0.100000 +2021-06-20 02:06:39,834 epoch 42 - iter 110/226 - loss 4.82015348 - samples/sec: 18.86 - lr: 0.100000 +2021-06-20 02:07:22,736 epoch 42 - iter 132/226 - loss 4.81062618 - samples/sec: 16.41 - lr: 0.100000 +2021-06-20 02:08:04,696 epoch 42 - iter 154/226 - loss 4.86732172 - samples/sec: 16.78 - lr: 0.100000 +2021-06-20 02:08:44,347 epoch 42 - iter 176/226 - loss 4.86596936 - samples/sec: 17.76 - lr: 0.100000 +2021-06-20 02:09:27,648 epoch 42 - iter 198/226 - loss 4.84771968 - samples/sec: 16.26 - lr: 0.100000 +2021-06-20 02:10:09,749 epoch 42 - iter 220/226 - loss 4.80237374 - samples/sec: 16.72 - lr: 0.100000 +2021-06-20 02:10:20,674 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:10:20,677 EPOCH 42 done: loss 4.8044 - lr 0.1000000 +2021-06-20 02:10:20,679 BAD EPOCHS (no improvement): 0 +2021-06-20 02:10:20,694 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:11:02,577 epoch 43 - iter 22/226 - loss 4.81221467 - samples/sec: 16.81 - lr: 0.100000 +2021-06-20 02:11:47,217 epoch 43 - iter 44/226 - loss 4.82352064 - samples/sec: 15.77 - lr: 0.100000 +2021-06-20 02:12:31,074 epoch 43 - iter 66/226 - loss 4.80001459 - samples/sec: 16.05 - lr: 0.100000 +2021-06-20 02:13:13,961 epoch 43 - iter 88/226 - loss 4.74071528 - samples/sec: 16.42 - lr: 0.100000 +2021-06-20 02:13:54,456 epoch 43 - iter 110/226 - loss 4.73125886 - samples/sec: 17.39 - lr: 0.100000 +2021-06-20 02:14:35,017 epoch 43 - iter 132/226 - loss 4.74212542 - samples/sec: 17.36 - lr: 0.100000 +2021-06-20 02:15:16,937 epoch 43 - iter 154/226 - loss 4.71886788 - samples/sec: 16.80 - lr: 0.100000 +2021-06-20 02:15:57,917 epoch 43 - iter 176/226 - loss 4.73399667 - samples/sec: 17.18 - lr: 0.100000 +2021-06-20 02:16:38,173 epoch 43 - iter 198/226 - loss 4.73236581 - samples/sec: 17.49 - lr: 0.100000 +2021-06-20 02:17:20,581 epoch 43 - iter 220/226 - loss 4.76391134 - samples/sec: 16.60 - lr: 0.100000 +2021-06-20 02:17:30,864 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:17:30,865 EPOCH 43 done: loss 4.7619 - lr 0.1000000 +2021-06-20 02:17:30,876 BAD EPOCHS (no improvement): 0 +2021-06-20 02:17:30,884 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:18:11,075 epoch 44 - iter 22/226 - loss 4.50464922 - samples/sec: 17.52 - lr: 0.100000 +2021-06-20 02:18:53,787 epoch 44 - iter 44/226 - loss 4.48904412 - samples/sec: 16.48 - lr: 0.100000 +2021-06-20 02:19:37,379 epoch 44 - iter 66/226 - loss 4.62747054 - samples/sec: 16.15 - lr: 0.100000 +2021-06-20 02:20:17,373 epoch 44 - iter 88/226 - loss 4.69318479 - samples/sec: 17.61 - lr: 0.100000 +2021-06-20 02:20:58,419 epoch 44 - iter 110/226 - loss 4.67754586 - samples/sec: 17.15 - lr: 0.100000 +2021-06-20 02:21:40,845 epoch 44 - iter 132/226 - loss 4.67776998 - samples/sec: 16.60 - lr: 0.100000 +2021-06-20 02:22:23,964 epoch 44 - iter 154/226 - loss 4.67200465 - samples/sec: 16.33 - lr: 0.100000 +2021-06-20 02:23:05,774 epoch 44 - iter 176/226 - loss 4.66746141 - samples/sec: 16.84 - lr: 0.100000 +2021-06-20 02:23:46,143 epoch 44 - iter 198/226 - loss 4.69235976 - samples/sec: 17.44 - lr: 0.100000 +2021-06-20 02:24:28,715 epoch 44 - iter 220/226 - loss 4.69554321 - samples/sec: 16.54 - lr: 0.100000 +2021-06-20 02:24:39,736 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:24:39,739 EPOCH 44 done: loss 4.6935 - lr 0.1000000 +2021-06-20 02:24:39,744 BAD EPOCHS (no improvement): 0 +2021-06-20 02:24:39,751 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:25:22,430 epoch 45 - iter 22/226 - loss 4.71340749 - samples/sec: 16.50 - lr: 0.100000 +2021-06-20 02:26:02,575 epoch 45 - iter 44/226 - loss 4.54027091 - samples/sec: 17.54 - lr: 0.100000 +2021-06-20 02:26:47,467 epoch 45 - iter 66/226 - loss 4.63282610 - samples/sec: 15.68 - lr: 0.100000 +2021-06-20 02:27:31,533 epoch 45 - iter 88/226 - loss 4.63962102 - samples/sec: 15.98 - lr: 0.100000 +2021-06-20 02:28:11,340 epoch 45 - iter 110/226 - loss 4.62354048 - samples/sec: 17.69 - lr: 0.100000 +2021-06-20 02:28:55,172 epoch 45 - iter 132/226 - loss 4.57019125 - samples/sec: 16.06 - lr: 0.100000 +2021-06-20 02:29:37,516 epoch 45 - iter 154/226 - loss 4.58379731 - samples/sec: 16.63 - lr: 0.100000 +2021-06-20 02:30:21,565 epoch 45 - iter 176/226 - loss 4.58293980 - samples/sec: 15.98 - lr: 0.100000 +2021-06-20 02:30:59,869 epoch 45 - iter 198/226 - loss 4.59999351 - samples/sec: 18.38 - lr: 0.100000 +2021-06-20 02:31:41,404 epoch 45 - iter 220/226 - loss 4.59296491 - samples/sec: 16.95 - lr: 0.100000 +2021-06-20 02:31:52,365 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:31:52,368 EPOCH 45 done: loss 4.5918 - lr 0.1000000 +2021-06-20 02:31:52,370 BAD EPOCHS (no improvement): 0 +2021-06-20 02:31:52,379 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:32:35,651 epoch 46 - iter 22/226 - loss 4.47549972 - samples/sec: 16.27 - lr: 0.100000 +2021-06-20 02:33:18,563 epoch 46 - iter 44/226 - loss 4.46373513 - samples/sec: 16.41 - lr: 0.100000 +2021-06-20 02:34:01,516 epoch 46 - iter 66/226 - loss 4.54009892 - samples/sec: 16.39 - lr: 0.100000 +2021-06-20 02:34:41,518 epoch 46 - iter 88/226 - loss 4.51243923 - samples/sec: 17.60 - lr: 0.100000 +2021-06-20 02:35:24,062 epoch 46 - iter 110/226 - loss 4.48122169 - samples/sec: 16.55 - lr: 0.100000 +2021-06-20 02:36:04,749 epoch 46 - iter 132/226 - loss 4.51145119 - samples/sec: 17.31 - lr: 0.100000 +2021-06-20 02:36:47,295 epoch 46 - iter 154/226 - loss 4.50740825 - samples/sec: 16.55 - lr: 0.100000 +2021-06-20 02:37:31,573 epoch 46 - iter 176/226 - loss 4.53884216 - samples/sec: 15.90 - lr: 0.100000 +2021-06-20 02:38:15,986 epoch 46 - iter 198/226 - loss 4.57251481 - samples/sec: 15.85 - lr: 0.100000 +2021-06-20 02:39:00,009 epoch 46 - iter 220/226 - loss 4.57541664 - samples/sec: 15.99 - lr: 0.100000 +2021-06-20 02:39:10,891 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:39:10,893 EPOCH 46 done: loss 4.5636 - lr 0.1000000 +2021-06-20 02:39:10,906 BAD EPOCHS (no improvement): 0 +2021-06-20 02:39:10,914 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:39:52,495 epoch 47 - iter 22/226 - loss 4.21086178 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 02:40:36,055 epoch 47 - iter 44/226 - loss 4.35002704 - samples/sec: 16.16 - lr: 0.100000 +2021-06-20 02:41:15,878 epoch 47 - iter 66/226 - loss 4.41172626 - samples/sec: 17.68 - lr: 0.100000 +2021-06-20 02:42:00,837 epoch 47 - iter 88/226 - loss 4.47198052 - samples/sec: 15.66 - lr: 0.100000 +2021-06-20 02:42:44,996 epoch 47 - iter 110/226 - loss 4.47315357 - samples/sec: 15.94 - lr: 0.100000 +2021-06-20 02:43:29,881 epoch 47 - iter 132/226 - loss 4.46498743 - samples/sec: 15.69 - lr: 0.100000 +2021-06-20 02:44:12,457 epoch 47 - iter 154/226 - loss 4.47514989 - samples/sec: 16.54 - lr: 0.100000 +2021-06-20 02:44:53,070 epoch 47 - iter 176/226 - loss 4.44063433 - samples/sec: 17.34 - lr: 0.100000 +2021-06-20 02:45:37,779 epoch 47 - iter 198/226 - loss 4.50136522 - samples/sec: 15.75 - lr: 0.100000 +2021-06-20 02:46:18,188 epoch 47 - iter 220/226 - loss 4.49233844 - samples/sec: 17.42 - lr: 0.100000 +2021-06-20 02:46:28,456 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:46:28,459 EPOCH 47 done: loss 4.4877 - lr 0.1000000 +2021-06-20 02:46:28,462 BAD EPOCHS (no improvement): 0 +2021-06-20 02:46:28,471 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:47:12,356 epoch 48 - iter 22/226 - loss 4.57546101 - samples/sec: 16.04 - lr: 0.100000 +2021-06-20 02:47:52,237 epoch 48 - iter 44/226 - loss 4.34652420 - samples/sec: 17.66 - lr: 0.100000 +2021-06-20 02:48:35,405 epoch 48 - iter 66/226 - loss 4.38588793 - samples/sec: 16.31 - lr: 0.100000 +2021-06-20 02:49:19,479 epoch 48 - iter 88/226 - loss 4.46392146 - samples/sec: 15.98 - lr: 0.100000 +2021-06-20 02:50:03,422 epoch 48 - iter 110/226 - loss 4.46350495 - samples/sec: 16.02 - lr: 0.100000 +2021-06-20 02:50:46,109 epoch 48 - iter 132/226 - loss 4.48450077 - samples/sec: 16.49 - lr: 0.100000 +2021-06-20 02:51:27,975 epoch 48 - iter 154/226 - loss 4.50918438 - samples/sec: 16.82 - lr: 0.100000 +2021-06-20 02:52:10,627 epoch 48 - iter 176/226 - loss 4.51261811 - samples/sec: 16.51 - lr: 0.100000 +2021-06-20 02:52:50,831 epoch 48 - iter 198/226 - loss 4.50135874 - samples/sec: 17.51 - lr: 0.100000 +2021-06-20 02:53:34,130 epoch 48 - iter 220/226 - loss 4.52084380 - samples/sec: 16.26 - lr: 0.100000 +2021-06-20 02:53:45,426 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:53:45,429 EPOCH 48 done: loss 4.5207 - lr 0.1000000 +2021-06-20 02:53:45,432 BAD EPOCHS (no improvement): 1 +2021-06-20 02:53:45,444 ---------------------------------------------------------------------------------------------------- +2021-06-20 02:54:27,964 epoch 49 - iter 22/226 - loss 4.21347735 - samples/sec: 16.56 - lr: 0.100000 +2021-06-20 02:55:13,335 epoch 49 - iter 44/226 - loss 4.30577411 - samples/sec: 15.52 - lr: 0.100000 +2021-06-20 02:55:54,150 epoch 49 - iter 66/226 - loss 4.36338904 - samples/sec: 17.25 - lr: 0.100000 +2021-06-20 02:56:35,362 epoch 49 - iter 88/226 - loss 4.34884937 - samples/sec: 17.08 - lr: 0.100000 +2021-06-20 02:57:17,067 epoch 49 - iter 110/226 - loss 4.33808913 - samples/sec: 16.88 - lr: 0.100000 +2021-06-20 02:58:01,525 epoch 49 - iter 132/226 - loss 4.36148491 - samples/sec: 15.84 - lr: 0.100000 +2021-06-20 02:58:44,980 epoch 49 - iter 154/226 - loss 4.38124322 - samples/sec: 16.20 - lr: 0.100000 +2021-06-20 02:59:28,221 epoch 49 - iter 176/226 - loss 4.37568374 - samples/sec: 16.28 - lr: 0.100000 +2021-06-20 03:00:11,369 epoch 49 - iter 198/226 - loss 4.38346551 - samples/sec: 16.32 - lr: 0.100000 +2021-06-20 03:00:53,095 epoch 49 - iter 220/226 - loss 4.34820298 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 03:01:04,172 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:01:04,177 EPOCH 49 done: loss 4.3538 - lr 0.1000000 +2021-06-20 03:01:04,183 BAD EPOCHS (no improvement): 0 +2021-06-20 03:01:04,193 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:01:46,899 epoch 50 - iter 22/226 - loss 4.42243415 - samples/sec: 16.49 - lr: 0.100000 +2021-06-20 03:02:32,772 epoch 50 - iter 44/226 - loss 4.34245906 - samples/sec: 15.35 - lr: 0.100000 +2021-06-20 03:03:16,760 epoch 50 - iter 66/226 - loss 4.24637900 - samples/sec: 16.01 - lr: 0.100000 +2021-06-20 03:03:57,230 epoch 50 - iter 88/226 - loss 4.23902634 - samples/sec: 17.40 - lr: 0.100000 +2021-06-20 03:04:39,639 epoch 50 - iter 110/226 - loss 4.28060086 - samples/sec: 16.60 - lr: 0.100000 +2021-06-20 03:05:19,608 epoch 50 - iter 132/226 - loss 4.28201119 - samples/sec: 17.62 - lr: 0.100000 +2021-06-20 03:05:59,926 epoch 50 - iter 154/226 - loss 4.31776967 - samples/sec: 17.46 - lr: 0.100000 +2021-06-20 03:06:44,444 epoch 50 - iter 176/226 - loss 4.30280575 - samples/sec: 15.82 - lr: 0.100000 +2021-06-20 03:07:26,049 epoch 50 - iter 198/226 - loss 4.28982758 - samples/sec: 16.92 - lr: 0.100000 +2021-06-20 03:08:10,729 epoch 50 - iter 220/226 - loss 4.30374569 - samples/sec: 15.76 - lr: 0.100000 +2021-06-20 03:08:20,727 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:08:20,730 EPOCH 50 done: loss 4.3074 - lr 0.1000000 +2021-06-20 03:08:20,732 BAD EPOCHS (no improvement): 0 +2021-06-20 03:08:20,741 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:09:04,378 epoch 51 - iter 22/226 - loss 4.40033888 - samples/sec: 16.14 - lr: 0.100000 +2021-06-20 03:09:45,968 epoch 51 - iter 44/226 - loss 4.28948906 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 03:10:26,628 epoch 51 - iter 66/226 - loss 4.20853698 - samples/sec: 17.32 - lr: 0.100000 +2021-06-20 03:11:09,621 epoch 51 - iter 88/226 - loss 4.18836516 - samples/sec: 16.38 - lr: 0.100000 +2021-06-20 03:11:49,770 epoch 51 - iter 110/226 - loss 4.20323844 - samples/sec: 17.54 - lr: 0.100000 +2021-06-20 03:12:31,650 epoch 51 - iter 132/226 - loss 4.21789294 - samples/sec: 16.81 - lr: 0.100000 +2021-06-20 03:13:13,215 epoch 51 - iter 154/226 - loss 4.26009341 - samples/sec: 16.94 - lr: 0.100000 +2021-06-20 03:13:57,822 epoch 51 - iter 176/226 - loss 4.28875016 - samples/sec: 15.78 - lr: 0.100000 +2021-06-20 03:14:39,316 epoch 51 - iter 198/226 - loss 4.29711997 - samples/sec: 16.97 - lr: 0.100000 +2021-06-20 03:15:22,974 epoch 51 - iter 220/226 - loss 4.29513414 - samples/sec: 16.13 - lr: 0.100000 +2021-06-20 03:15:34,654 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:15:34,657 EPOCH 51 done: loss 4.2848 - lr 0.1000000 +2021-06-20 03:15:34,659 BAD EPOCHS (no improvement): 0 +2021-06-20 03:15:34,671 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:16:15,973 epoch 52 - iter 22/226 - loss 4.03125743 - samples/sec: 17.05 - lr: 0.100000 +2021-06-20 03:16:57,716 epoch 52 - iter 44/226 - loss 4.12546180 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 03:17:38,282 epoch 52 - iter 66/226 - loss 4.07656442 - samples/sec: 17.36 - lr: 0.100000 +2021-06-20 03:18:20,225 epoch 52 - iter 88/226 - loss 4.08209510 - samples/sec: 16.79 - lr: 0.100000 +2021-06-20 03:19:01,184 epoch 52 - iter 110/226 - loss 4.15548272 - samples/sec: 17.19 - lr: 0.100000 +2021-06-20 03:19:44,838 epoch 52 - iter 132/226 - loss 4.19899658 - samples/sec: 16.13 - lr: 0.100000 +2021-06-20 03:20:25,843 epoch 52 - iter 154/226 - loss 4.19091809 - samples/sec: 17.17 - lr: 0.100000 +2021-06-20 03:21:07,429 epoch 52 - iter 176/226 - loss 4.21858596 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 03:21:50,526 epoch 52 - iter 198/226 - loss 4.23454586 - samples/sec: 16.34 - lr: 0.100000 +2021-06-20 03:22:34,750 epoch 52 - iter 220/226 - loss 4.23111562 - samples/sec: 15.92 - lr: 0.100000 +2021-06-20 03:22:45,764 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:22:45,767 EPOCH 52 done: loss 4.2249 - lr 0.1000000 +2021-06-20 03:22:45,772 BAD EPOCHS (no improvement): 0 +2021-06-20 03:22:45,782 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:23:27,912 epoch 53 - iter 22/226 - loss 4.19121837 - samples/sec: 16.71 - lr: 0.100000 +2021-06-20 03:24:09,869 epoch 53 - iter 44/226 - loss 4.12773580 - samples/sec: 16.78 - lr: 0.100000 +2021-06-20 03:24:51,874 epoch 53 - iter 66/226 - loss 4.09779702 - samples/sec: 16.76 - lr: 0.100000 +2021-06-20 03:25:34,055 epoch 53 - iter 88/226 - loss 4.09284542 - samples/sec: 16.69 - lr: 0.100000 +2021-06-20 03:26:16,130 epoch 53 - iter 110/226 - loss 4.14308993 - samples/sec: 16.73 - lr: 0.100000 +2021-06-20 03:27:00,202 epoch 53 - iter 132/226 - loss 4.17674938 - samples/sec: 15.98 - lr: 0.100000 +2021-06-20 03:27:41,409 epoch 53 - iter 154/226 - loss 4.15858841 - samples/sec: 17.09 - lr: 0.100000 +2021-06-20 03:28:24,485 epoch 53 - iter 176/226 - loss 4.17521646 - samples/sec: 16.35 - lr: 0.100000 +2021-06-20 03:29:07,825 epoch 53 - iter 198/226 - loss 4.13121837 - samples/sec: 16.25 - lr: 0.100000 +2021-06-20 03:29:49,639 epoch 53 - iter 220/226 - loss 4.12280997 - samples/sec: 16.84 - lr: 0.100000 +2021-06-20 03:30:00,727 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:30:00,729 EPOCH 53 done: loss 4.1293 - lr 0.1000000 +2021-06-20 03:30:00,732 BAD EPOCHS (no improvement): 0 +2021-06-20 03:30:00,744 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:30:45,511 epoch 54 - iter 22/226 - loss 4.03579272 - samples/sec: 15.73 - lr: 0.100000 +2021-06-20 03:31:27,975 epoch 54 - iter 44/226 - loss 4.12379083 - samples/sec: 16.58 - lr: 0.100000 +2021-06-20 03:32:09,028 epoch 54 - iter 66/226 - loss 4.11606202 - samples/sec: 17.15 - lr: 0.100000 +2021-06-20 03:32:51,602 epoch 54 - iter 88/226 - loss 4.04456404 - samples/sec: 16.54 - lr: 0.100000 +2021-06-20 03:33:35,431 epoch 54 - iter 110/226 - loss 4.03534158 - samples/sec: 16.06 - lr: 0.100000 +2021-06-20 03:34:17,164 epoch 54 - iter 132/226 - loss 4.08594802 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 03:34:58,797 epoch 54 - iter 154/226 - loss 4.10332837 - samples/sec: 16.91 - lr: 0.100000 +2021-06-20 03:35:40,844 epoch 54 - iter 176/226 - loss 4.11771554 - samples/sec: 16.75 - lr: 0.100000 +2021-06-20 03:36:24,989 epoch 54 - iter 198/226 - loss 4.13481660 - samples/sec: 15.95 - lr: 0.100000 +2021-06-20 03:37:08,966 epoch 54 - iter 220/226 - loss 4.15786279 - samples/sec: 16.01 - lr: 0.100000 +2021-06-20 03:37:21,810 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:37:21,813 EPOCH 54 done: loss 4.1525 - lr 0.1000000 +2021-06-20 03:37:21,817 BAD EPOCHS (no improvement): 1 +2021-06-20 03:37:21,829 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:38:03,565 epoch 55 - iter 22/226 - loss 4.08003291 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 03:38:44,941 epoch 55 - iter 44/226 - loss 3.91954664 - samples/sec: 17.02 - lr: 0.100000 +2021-06-20 03:39:30,322 epoch 55 - iter 66/226 - loss 4.05884465 - samples/sec: 15.52 - lr: 0.100000 +2021-06-20 03:40:14,397 epoch 55 - iter 88/226 - loss 4.00806860 - samples/sec: 15.98 - lr: 0.100000 +2021-06-20 03:40:59,440 epoch 55 - iter 110/226 - loss 4.05993229 - samples/sec: 15.63 - lr: 0.100000 +2021-06-20 03:41:40,079 epoch 55 - iter 132/226 - loss 4.08332023 - samples/sec: 17.33 - lr: 0.100000 +2021-06-20 03:42:22,724 epoch 55 - iter 154/226 - loss 4.08609167 - samples/sec: 16.51 - lr: 0.100000 +2021-06-20 03:43:05,001 epoch 55 - iter 176/226 - loss 4.07893606 - samples/sec: 16.65 - lr: 0.100000 +2021-06-20 03:43:46,970 epoch 55 - iter 198/226 - loss 4.10525621 - samples/sec: 16.78 - lr: 0.100000 +2021-06-20 03:44:29,421 epoch 55 - iter 220/226 - loss 4.09539934 - samples/sec: 16.59 - lr: 0.100000 +2021-06-20 03:44:40,487 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:44:40,490 EPOCH 55 done: loss 4.1058 - lr 0.1000000 +2021-06-20 03:44:40,492 BAD EPOCHS (no improvement): 0 +2021-06-20 03:44:40,505 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:45:23,735 epoch 56 - iter 22/226 - loss 3.94189946 - samples/sec: 16.29 - lr: 0.100000 +2021-06-20 03:46:05,998 epoch 56 - iter 44/226 - loss 4.02966815 - samples/sec: 16.66 - lr: 0.100000 +2021-06-20 03:46:47,028 epoch 56 - iter 66/226 - loss 4.01235641 - samples/sec: 17.16 - lr: 0.100000 +2021-06-20 03:47:28,195 epoch 56 - iter 88/226 - loss 4.01555657 - samples/sec: 17.10 - lr: 0.100000 +2021-06-20 03:48:11,502 epoch 56 - iter 110/226 - loss 4.02929829 - samples/sec: 16.26 - lr: 0.100000 +2021-06-20 03:48:53,803 epoch 56 - iter 132/226 - loss 4.03238778 - samples/sec: 16.64 - lr: 0.100000 +2021-06-20 03:49:35,176 epoch 56 - iter 154/226 - loss 4.05086024 - samples/sec: 17.02 - lr: 0.100000 +2021-06-20 03:50:18,540 epoch 56 - iter 176/226 - loss 4.09357281 - samples/sec: 16.24 - lr: 0.100000 +2021-06-20 03:51:02,485 epoch 56 - iter 198/226 - loss 4.12961636 - samples/sec: 16.02 - lr: 0.100000 +2021-06-20 03:51:45,680 epoch 56 - iter 220/226 - loss 4.11834458 - samples/sec: 16.30 - lr: 0.100000 +2021-06-20 03:51:57,675 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:51:57,678 EPOCH 56 done: loss 4.1163 - lr 0.1000000 +2021-06-20 03:51:57,681 BAD EPOCHS (no improvement): 1 +2021-06-20 03:51:57,689 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:52:40,560 epoch 57 - iter 22/226 - loss 3.95444615 - samples/sec: 16.43 - lr: 0.100000 +2021-06-20 03:53:22,578 epoch 57 - iter 44/226 - loss 3.86355121 - samples/sec: 16.76 - lr: 0.100000 +2021-06-20 03:54:02,608 epoch 57 - iter 66/226 - loss 3.89185443 - samples/sec: 17.59 - lr: 0.100000 +2021-06-20 03:54:45,673 epoch 57 - iter 88/226 - loss 3.90656990 - samples/sec: 16.35 - lr: 0.100000 +2021-06-20 03:55:27,675 epoch 57 - iter 110/226 - loss 3.91231843 - samples/sec: 16.76 - lr: 0.100000 +2021-06-20 03:56:07,348 epoch 57 - iter 132/226 - loss 3.95242468 - samples/sec: 17.75 - lr: 0.100000 +2021-06-20 03:56:51,232 epoch 57 - iter 154/226 - loss 3.93595958 - samples/sec: 16.04 - lr: 0.100000 +2021-06-20 03:57:35,485 epoch 57 - iter 176/226 - loss 3.97578432 - samples/sec: 15.91 - lr: 0.100000 +2021-06-20 03:58:16,415 epoch 57 - iter 198/226 - loss 4.00966013 - samples/sec: 17.20 - lr: 0.100000 +2021-06-20 03:58:58,970 epoch 57 - iter 220/226 - loss 4.02266007 - samples/sec: 16.55 - lr: 0.100000 +2021-06-20 03:59:10,037 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:59:10,044 EPOCH 57 done: loss 4.0210 - lr 0.1000000 +2021-06-20 03:59:10,046 BAD EPOCHS (no improvement): 0 +2021-06-20 03:59:10,058 ---------------------------------------------------------------------------------------------------- +2021-06-20 03:59:54,582 epoch 58 - iter 22/226 - loss 4.07311903 - samples/sec: 15.81 - lr: 0.100000 +2021-06-20 04:00:38,478 epoch 58 - iter 44/226 - loss 3.98098398 - samples/sec: 16.04 - lr: 0.100000 +2021-06-20 04:01:21,996 epoch 58 - iter 66/226 - loss 3.93112917 - samples/sec: 16.18 - lr: 0.100000 +2021-06-20 04:02:06,777 epoch 58 - iter 88/226 - loss 3.97165230 - samples/sec: 15.72 - lr: 0.100000 +2021-06-20 04:02:50,912 epoch 58 - iter 110/226 - loss 3.97186533 - samples/sec: 15.95 - lr: 0.100000 +2021-06-20 04:03:32,113 epoch 58 - iter 132/226 - loss 3.97270610 - samples/sec: 17.09 - lr: 0.100000 +2021-06-20 04:04:13,835 epoch 58 - iter 154/226 - loss 3.96036433 - samples/sec: 16.88 - lr: 0.100000 +2021-06-20 04:04:55,636 epoch 58 - iter 176/226 - loss 3.96798173 - samples/sec: 16.84 - lr: 0.100000 +2021-06-20 04:05:34,957 epoch 58 - iter 198/226 - loss 3.93158145 - samples/sec: 17.91 - lr: 0.100000 +2021-06-20 04:06:16,658 epoch 58 - iter 220/226 - loss 3.93824210 - samples/sec: 16.88 - lr: 0.100000 +2021-06-20 04:06:28,516 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:06:28,520 EPOCH 58 done: loss 3.9399 - lr 0.1000000 +2021-06-20 04:06:28,523 BAD EPOCHS (no improvement): 0 +2021-06-20 04:06:28,531 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:07:11,929 epoch 59 - iter 22/226 - loss 3.84114575 - samples/sec: 16.22 - lr: 0.100000 +2021-06-20 04:07:53,038 epoch 59 - iter 44/226 - loss 3.85420255 - samples/sec: 17.13 - lr: 0.100000 +2021-06-20 04:08:36,198 epoch 59 - iter 66/226 - loss 3.87020711 - samples/sec: 16.31 - lr: 0.100000 +2021-06-20 04:09:19,053 epoch 59 - iter 88/226 - loss 3.83149299 - samples/sec: 16.43 - lr: 0.100000 +2021-06-20 04:10:00,283 epoch 59 - iter 110/226 - loss 3.85293170 - samples/sec: 17.08 - lr: 0.100000 +2021-06-20 04:10:43,012 epoch 59 - iter 132/226 - loss 3.89668717 - samples/sec: 16.48 - lr: 0.100000 +2021-06-20 04:11:22,209 epoch 59 - iter 154/226 - loss 3.88931168 - samples/sec: 17.96 - lr: 0.100000 +2021-06-20 04:12:06,148 epoch 59 - iter 176/226 - loss 3.94223202 - samples/sec: 16.02 - lr: 0.100000 +2021-06-20 04:12:49,291 epoch 59 - iter 198/226 - loss 3.94698099 - samples/sec: 16.32 - lr: 0.100000 +2021-06-20 04:13:30,985 epoch 59 - iter 220/226 - loss 3.94100495 - samples/sec: 16.89 - lr: 0.100000 +2021-06-20 04:13:41,872 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:13:41,875 EPOCH 59 done: loss 3.9325 - lr 0.1000000 +2021-06-20 04:13:41,878 BAD EPOCHS (no improvement): 0 +2021-06-20 04:13:41,890 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:14:24,810 epoch 60 - iter 22/226 - loss 3.85749654 - samples/sec: 16.41 - lr: 0.100000 +2021-06-20 04:15:07,688 epoch 60 - iter 44/226 - loss 3.84141086 - samples/sec: 16.42 - lr: 0.100000 +2021-06-20 04:15:49,934 epoch 60 - iter 66/226 - loss 3.70673644 - samples/sec: 16.67 - lr: 0.100000 +2021-06-20 04:16:33,750 epoch 60 - iter 88/226 - loss 3.73755117 - samples/sec: 16.07 - lr: 0.100000 +2021-06-20 04:17:16,210 epoch 60 - iter 110/226 - loss 3.71958108 - samples/sec: 16.58 - lr: 0.100000 +2021-06-20 04:18:00,597 epoch 60 - iter 132/226 - loss 3.77286102 - samples/sec: 15.86 - lr: 0.100000 +2021-06-20 04:18:44,762 epoch 60 - iter 154/226 - loss 3.81803486 - samples/sec: 15.94 - lr: 0.100000 +2021-06-20 04:19:26,509 epoch 60 - iter 176/226 - loss 3.86411069 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 04:20:09,147 epoch 60 - iter 198/226 - loss 3.85449248 - samples/sec: 16.51 - lr: 0.100000 +2021-06-20 04:20:54,241 epoch 60 - iter 220/226 - loss 3.84490664 - samples/sec: 15.61 - lr: 0.100000 +2021-06-20 04:21:06,161 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:21:06,166 EPOCH 60 done: loss 3.8362 - lr 0.1000000 +2021-06-20 04:21:06,171 BAD EPOCHS (no improvement): 0 +2021-06-20 04:21:06,184 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:21:51,763 epoch 61 - iter 22/226 - loss 3.64519324 - samples/sec: 15.45 - lr: 0.100000 +2021-06-20 04:22:32,491 epoch 61 - iter 44/226 - loss 3.69925210 - samples/sec: 17.29 - lr: 0.100000 +2021-06-20 04:23:13,002 epoch 61 - iter 66/226 - loss 3.69317089 - samples/sec: 17.38 - lr: 0.100000 +2021-06-20 04:23:55,396 epoch 61 - iter 88/226 - loss 3.75598561 - samples/sec: 16.61 - lr: 0.100000 +2021-06-20 04:24:39,486 epoch 61 - iter 110/226 - loss 3.77192305 - samples/sec: 15.97 - lr: 0.100000 +2021-06-20 04:25:21,621 epoch 61 - iter 132/226 - loss 3.79682815 - samples/sec: 16.71 - lr: 0.100000 +2021-06-20 04:26:05,200 epoch 61 - iter 154/226 - loss 3.81364905 - samples/sec: 16.16 - lr: 0.100000 +2021-06-20 04:26:48,420 epoch 61 - iter 176/226 - loss 3.82995287 - samples/sec: 16.29 - lr: 0.100000 +2021-06-20 04:27:34,027 epoch 61 - iter 198/226 - loss 3.83710799 - samples/sec: 15.44 - lr: 0.100000 +2021-06-20 04:28:15,175 epoch 61 - iter 220/226 - loss 3.83829985 - samples/sec: 17.11 - lr: 0.100000 +2021-06-20 04:28:25,088 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:28:25,090 EPOCH 61 done: loss 3.8288 - lr 0.1000000 +2021-06-20 04:28:25,097 BAD EPOCHS (no improvement): 0 +2021-06-20 04:28:25,110 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:29:07,835 epoch 62 - iter 22/226 - loss 3.59397261 - samples/sec: 16.48 - lr: 0.100000 +2021-06-20 04:29:49,806 epoch 62 - iter 44/226 - loss 3.59276811 - samples/sec: 16.78 - lr: 0.100000 +2021-06-20 04:30:30,858 epoch 62 - iter 66/226 - loss 3.72688624 - samples/sec: 17.15 - lr: 0.100000 +2021-06-20 04:31:15,772 epoch 62 - iter 88/226 - loss 3.75802984 - samples/sec: 15.68 - lr: 0.100000 +2021-06-20 04:31:54,767 epoch 62 - iter 110/226 - loss 3.76600160 - samples/sec: 18.06 - lr: 0.100000 +2021-06-20 04:32:41,524 epoch 62 - iter 132/226 - loss 3.78036337 - samples/sec: 15.06 - lr: 0.100000 +2021-06-20 04:33:21,638 epoch 62 - iter 154/226 - loss 3.77614582 - samples/sec: 17.55 - lr: 0.100000 +2021-06-20 04:34:04,912 epoch 62 - iter 176/226 - loss 3.76209766 - samples/sec: 16.27 - lr: 0.100000 +2021-06-20 04:34:47,695 epoch 62 - iter 198/226 - loss 3.77308343 - samples/sec: 16.46 - lr: 0.100000 +2021-06-20 04:35:31,150 epoch 62 - iter 220/226 - loss 3.79056591 - samples/sec: 16.20 - lr: 0.100000 +2021-06-20 04:35:42,669 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:35:42,672 EPOCH 62 done: loss 3.7974 - lr 0.1000000 +2021-06-20 04:35:42,680 BAD EPOCHS (no improvement): 0 +2021-06-20 04:35:42,698 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:36:24,254 epoch 63 - iter 22/226 - loss 3.87341911 - samples/sec: 16.94 - lr: 0.100000 +2021-06-20 04:37:08,175 epoch 63 - iter 44/226 - loss 3.80243410 - samples/sec: 16.03 - lr: 0.100000 +2021-06-20 04:37:53,022 epoch 63 - iter 66/226 - loss 3.88067098 - samples/sec: 15.70 - lr: 0.100000 +2021-06-20 04:38:33,825 epoch 63 - iter 88/226 - loss 3.86420074 - samples/sec: 17.26 - lr: 0.100000 +2021-06-20 04:39:15,525 epoch 63 - iter 110/226 - loss 3.83300119 - samples/sec: 16.89 - lr: 0.100000 +2021-06-20 04:39:57,713 epoch 63 - iter 132/226 - loss 3.84040202 - samples/sec: 16.69 - lr: 0.100000 +2021-06-20 04:40:39,006 epoch 63 - iter 154/226 - loss 3.84809315 - samples/sec: 17.05 - lr: 0.100000 +2021-06-20 04:41:20,225 epoch 63 - iter 176/226 - loss 3.82915504 - samples/sec: 17.08 - lr: 0.100000 +2021-06-20 04:42:00,840 epoch 63 - iter 198/226 - loss 3.82109597 - samples/sec: 17.34 - lr: 0.100000 +2021-06-20 04:42:45,570 epoch 63 - iter 220/226 - loss 3.79895568 - samples/sec: 15.74 - lr: 0.100000 +2021-06-20 04:42:56,918 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:42:56,924 EPOCH 63 done: loss 3.8007 - lr 0.1000000 +2021-06-20 04:42:56,926 BAD EPOCHS (no improvement): 1 +2021-06-20 04:42:56,935 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:43:38,435 epoch 64 - iter 22/226 - loss 3.67125939 - samples/sec: 16.97 - lr: 0.100000 +2021-06-20 04:44:19,848 epoch 64 - iter 44/226 - loss 3.59030868 - samples/sec: 17.00 - lr: 0.100000 +2021-06-20 04:45:02,048 epoch 64 - iter 66/226 - loss 3.74983358 - samples/sec: 16.68 - lr: 0.100000 +2021-06-20 04:45:42,796 epoch 64 - iter 88/226 - loss 3.74931619 - samples/sec: 17.28 - lr: 0.100000 +2021-06-20 04:46:23,673 epoch 64 - iter 110/226 - loss 3.69081260 - samples/sec: 17.22 - lr: 0.100000 +2021-06-20 04:47:04,649 epoch 64 - iter 132/226 - loss 3.71015299 - samples/sec: 17.18 - lr: 0.100000 +2021-06-20 04:47:47,780 epoch 64 - iter 154/226 - loss 3.72000501 - samples/sec: 16.32 - lr: 0.100000 +2021-06-20 04:48:32,152 epoch 64 - iter 176/226 - loss 3.79164582 - samples/sec: 15.87 - lr: 0.100000 +2021-06-20 04:49:14,926 epoch 64 - iter 198/226 - loss 3.79355546 - samples/sec: 16.46 - lr: 0.100000 +2021-06-20 04:49:59,072 epoch 64 - iter 220/226 - loss 3.78302050 - samples/sec: 15.95 - lr: 0.100000 +2021-06-20 04:50:12,440 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:50:12,445 EPOCH 64 done: loss 3.7942 - lr 0.1000000 +2021-06-20 04:50:12,448 BAD EPOCHS (no improvement): 0 +2021-06-20 04:50:12,455 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:50:54,938 epoch 65 - iter 22/226 - loss 3.69001908 - samples/sec: 16.57 - lr: 0.100000 +2021-06-20 04:51:35,615 epoch 65 - iter 44/226 - loss 3.71274941 - samples/sec: 17.31 - lr: 0.100000 +2021-06-20 04:52:18,218 epoch 65 - iter 66/226 - loss 3.62239936 - samples/sec: 16.53 - lr: 0.100000 +2021-06-20 04:52:59,781 epoch 65 - iter 88/226 - loss 3.67854440 - samples/sec: 16.94 - lr: 0.100000 +2021-06-20 04:53:42,836 epoch 65 - iter 110/226 - loss 3.64180630 - samples/sec: 16.35 - lr: 0.100000 +2021-06-20 04:54:24,012 epoch 65 - iter 132/226 - loss 3.68573967 - samples/sec: 17.10 - lr: 0.100000 +2021-06-20 04:55:09,112 epoch 65 - iter 154/226 - loss 3.68612290 - samples/sec: 15.61 - lr: 0.100000 +2021-06-20 04:55:49,731 epoch 65 - iter 176/226 - loss 3.68915452 - samples/sec: 17.33 - lr: 0.100000 +2021-06-20 04:56:34,695 epoch 65 - iter 198/226 - loss 3.70045566 - samples/sec: 15.66 - lr: 0.100000 +2021-06-20 04:57:15,719 epoch 65 - iter 220/226 - loss 3.70408601 - samples/sec: 17.17 - lr: 0.100000 +2021-06-20 04:57:29,457 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:57:29,459 EPOCH 65 done: loss 3.7053 - lr 0.1000000 +2021-06-20 04:57:29,462 BAD EPOCHS (no improvement): 0 +2021-06-20 04:57:29,472 ---------------------------------------------------------------------------------------------------- +2021-06-20 04:58:11,333 epoch 66 - iter 22/226 - loss 3.52313740 - samples/sec: 16.82 - lr: 0.100000 +2021-06-20 04:58:56,668 epoch 66 - iter 44/226 - loss 3.71296173 - samples/sec: 15.53 - lr: 0.100000 +2021-06-20 04:59:38,300 epoch 66 - iter 66/226 - loss 3.76514000 - samples/sec: 16.91 - lr: 0.100000 +2021-06-20 05:00:17,004 epoch 66 - iter 88/226 - loss 3.73937757 - samples/sec: 18.19 - lr: 0.100000 +2021-06-20 05:00:59,739 epoch 66 - iter 110/226 - loss 3.69064931 - samples/sec: 16.48 - lr: 0.100000 +2021-06-20 05:01:40,290 epoch 66 - iter 132/226 - loss 3.68962275 - samples/sec: 17.36 - lr: 0.100000 +2021-06-20 05:02:23,969 epoch 66 - iter 154/226 - loss 3.66452030 - samples/sec: 16.12 - lr: 0.100000 +2021-06-20 05:03:10,120 epoch 66 - iter 176/226 - loss 3.71059250 - samples/sec: 15.26 - lr: 0.100000 +2021-06-20 05:03:54,338 epoch 66 - iter 198/226 - loss 3.68177023 - samples/sec: 15.92 - lr: 0.100000 +2021-06-20 05:04:37,625 epoch 66 - iter 220/226 - loss 3.68860872 - samples/sec: 16.27 - lr: 0.100000 +2021-06-20 05:04:48,103 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:04:48,106 EPOCH 66 done: loss 3.6901 - lr 0.1000000 +2021-06-20 05:04:48,110 BAD EPOCHS (no improvement): 0 +2021-06-20 05:04:48,122 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:05:29,867 epoch 67 - iter 22/226 - loss 3.67082827 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 05:06:12,367 epoch 67 - iter 44/226 - loss 3.60384748 - samples/sec: 16.57 - lr: 0.100000 +2021-06-20 05:06:58,034 epoch 67 - iter 66/226 - loss 3.60205237 - samples/sec: 15.42 - lr: 0.100000 +2021-06-20 05:07:42,381 epoch 67 - iter 88/226 - loss 3.59027840 - samples/sec: 15.88 - lr: 0.100000 +2021-06-20 05:08:23,433 epoch 67 - iter 110/226 - loss 3.63674289 - samples/sec: 17.15 - lr: 0.100000 +2021-06-20 05:09:01,580 epoch 67 - iter 132/226 - loss 3.62012424 - samples/sec: 18.46 - lr: 0.100000 +2021-06-20 05:09:40,807 epoch 67 - iter 154/226 - loss 3.62960138 - samples/sec: 17.95 - lr: 0.100000 +2021-06-20 05:10:21,268 epoch 67 - iter 176/226 - loss 3.64070981 - samples/sec: 17.40 - lr: 0.100000 +2021-06-20 05:11:00,724 epoch 67 - iter 198/226 - loss 3.64332304 - samples/sec: 17.84 - lr: 0.100000 +2021-06-20 05:11:42,185 epoch 67 - iter 220/226 - loss 3.64109345 - samples/sec: 16.98 - lr: 0.100000 +2021-06-20 05:11:53,537 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:11:53,541 EPOCH 67 done: loss 3.6384 - lr 0.1000000 +2021-06-20 05:11:53,546 BAD EPOCHS (no improvement): 0 +2021-06-20 05:11:53,553 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:12:36,929 epoch 68 - iter 22/226 - loss 3.25550153 - samples/sec: 16.23 - lr: 0.100000 +2021-06-20 05:13:23,348 epoch 68 - iter 44/226 - loss 3.49604796 - samples/sec: 15.17 - lr: 0.100000 +2021-06-20 05:14:04,523 epoch 68 - iter 66/226 - loss 3.42852479 - samples/sec: 17.10 - lr: 0.100000 +2021-06-20 05:14:45,082 epoch 68 - iter 88/226 - loss 3.43340451 - samples/sec: 17.36 - lr: 0.100000 +2021-06-20 05:15:25,381 epoch 68 - iter 110/226 - loss 3.40834524 - samples/sec: 17.47 - lr: 0.100000 +2021-06-20 05:16:10,335 epoch 68 - iter 132/226 - loss 3.47594642 - samples/sec: 15.66 - lr: 0.100000 +2021-06-20 05:16:54,411 epoch 68 - iter 154/226 - loss 3.52983521 - samples/sec: 15.97 - lr: 0.100000 +2021-06-20 05:17:33,909 epoch 68 - iter 176/226 - loss 3.55580209 - samples/sec: 17.83 - lr: 0.100000 +2021-06-20 05:18:18,229 epoch 68 - iter 198/226 - loss 3.61028229 - samples/sec: 15.89 - lr: 0.100000 +2021-06-20 05:18:58,606 epoch 68 - iter 220/226 - loss 3.62433862 - samples/sec: 17.44 - lr: 0.100000 +2021-06-20 05:19:08,533 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:19:08,535 EPOCH 68 done: loss 3.6280 - lr 0.1000000 +2021-06-20 05:19:08,538 BAD EPOCHS (no improvement): 0 +2021-06-20 05:19:08,548 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:19:48,833 epoch 69 - iter 22/226 - loss 3.55448417 - samples/sec: 17.48 - lr: 0.100000 +2021-06-20 05:20:33,343 epoch 69 - iter 44/226 - loss 3.58192765 - samples/sec: 15.82 - lr: 0.100000 +2021-06-20 05:21:15,090 epoch 69 - iter 66/226 - loss 3.52970044 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 05:21:56,320 epoch 69 - iter 88/226 - loss 3.54884000 - samples/sec: 17.08 - lr: 0.100000 +2021-06-20 05:22:37,916 epoch 69 - iter 110/226 - loss 3.52028700 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 05:23:20,748 epoch 69 - iter 132/226 - loss 3.56002951 - samples/sec: 16.44 - lr: 0.100000 +2021-06-20 05:24:03,595 epoch 69 - iter 154/226 - loss 3.58823728 - samples/sec: 16.43 - lr: 0.100000 +2021-06-20 05:24:45,431 epoch 69 - iter 176/226 - loss 3.59758576 - samples/sec: 16.83 - lr: 0.100000 +2021-06-20 05:25:26,391 epoch 69 - iter 198/226 - loss 3.60306191 - samples/sec: 17.19 - lr: 0.100000 +2021-06-20 05:26:10,539 epoch 69 - iter 220/226 - loss 3.63383209 - samples/sec: 15.95 - lr: 0.100000 +2021-06-20 05:26:21,241 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:26:21,243 EPOCH 69 done: loss 3.6387 - lr 0.1000000 +2021-06-20 05:26:21,251 BAD EPOCHS (no improvement): 1 +2021-06-20 05:26:21,262 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:27:04,425 epoch 70 - iter 22/226 - loss 3.40862811 - samples/sec: 16.31 - lr: 0.100000 +2021-06-20 05:27:47,911 epoch 70 - iter 44/226 - loss 3.50066991 - samples/sec: 16.19 - lr: 0.100000 +2021-06-20 05:28:30,733 epoch 70 - iter 66/226 - loss 3.47649829 - samples/sec: 16.44 - lr: 0.100000 +2021-06-20 05:29:13,044 epoch 70 - iter 88/226 - loss 3.47230045 - samples/sec: 16.64 - lr: 0.100000 +2021-06-20 05:29:54,379 epoch 70 - iter 110/226 - loss 3.49376871 - samples/sec: 17.03 - lr: 0.100000 +2021-06-20 05:30:35,057 epoch 70 - iter 132/226 - loss 3.48724576 - samples/sec: 17.31 - lr: 0.100000 +2021-06-20 05:31:16,101 epoch 70 - iter 154/226 - loss 3.49324622 - samples/sec: 17.15 - lr: 0.100000 +2021-06-20 05:31:56,887 epoch 70 - iter 176/226 - loss 3.53387702 - samples/sec: 17.26 - lr: 0.100000 +2021-06-20 05:32:40,556 epoch 70 - iter 198/226 - loss 3.52859371 - samples/sec: 16.12 - lr: 0.100000 +2021-06-20 05:33:22,689 epoch 70 - iter 220/226 - loss 3.51923354 - samples/sec: 16.71 - lr: 0.100000 +2021-06-20 05:33:33,062 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:33:33,065 EPOCH 70 done: loss 3.5168 - lr 0.1000000 +2021-06-20 05:33:33,069 BAD EPOCHS (no improvement): 0 +2021-06-20 05:33:33,082 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:34:14,332 epoch 71 - iter 22/226 - loss 3.24338901 - samples/sec: 17.07 - lr: 0.100000 +2021-06-20 05:34:57,010 epoch 71 - iter 44/226 - loss 3.31663163 - samples/sec: 16.50 - lr: 0.100000 +2021-06-20 05:35:38,084 epoch 71 - iter 66/226 - loss 3.37573646 - samples/sec: 17.14 - lr: 0.100000 +2021-06-20 05:36:19,872 epoch 71 - iter 88/226 - loss 3.41508674 - samples/sec: 16.85 - lr: 0.100000 +2021-06-20 05:37:02,055 epoch 71 - iter 110/226 - loss 3.37446808 - samples/sec: 16.69 - lr: 0.100000 +2021-06-20 05:37:45,881 epoch 71 - iter 132/226 - loss 3.37959575 - samples/sec: 16.07 - lr: 0.100000 +2021-06-20 05:38:26,200 epoch 71 - iter 154/226 - loss 3.41605515 - samples/sec: 17.46 - lr: 0.100000 +2021-06-20 05:39:09,096 epoch 71 - iter 176/226 - loss 3.43677624 - samples/sec: 16.41 - lr: 0.100000 +2021-06-20 05:39:51,105 epoch 71 - iter 198/226 - loss 3.45327187 - samples/sec: 16.76 - lr: 0.100000 +2021-06-20 05:40:35,054 epoch 71 - iter 220/226 - loss 3.47993517 - samples/sec: 16.02 - lr: 0.100000 +2021-06-20 05:40:46,052 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:40:46,053 EPOCH 71 done: loss 3.4812 - lr 0.1000000 +2021-06-20 05:40:46,063 BAD EPOCHS (no improvement): 0 +2021-06-20 05:40:46,075 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:41:27,260 epoch 72 - iter 22/226 - loss 3.37856878 - samples/sec: 17.10 - lr: 0.100000 +2021-06-20 05:42:10,229 epoch 72 - iter 44/226 - loss 3.46540682 - samples/sec: 16.39 - lr: 0.100000 +2021-06-20 05:42:53,245 epoch 72 - iter 66/226 - loss 3.42033634 - samples/sec: 16.37 - lr: 0.100000 +2021-06-20 05:43:33,657 epoch 72 - iter 88/226 - loss 3.42496946 - samples/sec: 17.42 - lr: 0.100000 +2021-06-20 05:44:15,766 epoch 72 - iter 110/226 - loss 3.45185122 - samples/sec: 16.72 - lr: 0.100000 +2021-06-20 05:44:57,506 epoch 72 - iter 132/226 - loss 3.43641149 - samples/sec: 16.87 - lr: 0.100000 +2021-06-20 05:45:42,828 epoch 72 - iter 154/226 - loss 3.42572231 - samples/sec: 15.54 - lr: 0.100000 +2021-06-20 05:46:25,115 epoch 72 - iter 176/226 - loss 3.44585468 - samples/sec: 16.65 - lr: 0.100000 +2021-06-20 05:47:06,116 epoch 72 - iter 198/226 - loss 3.45768236 - samples/sec: 17.17 - lr: 0.100000 +2021-06-20 05:47:48,160 epoch 72 - iter 220/226 - loss 3.44988720 - samples/sec: 16.75 - lr: 0.100000 +2021-06-20 05:47:58,963 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:47:58,966 EPOCH 72 done: loss 3.4465 - lr 0.1000000 +2021-06-20 05:47:58,971 BAD EPOCHS (no improvement): 0 +2021-06-20 05:47:58,980 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:48:41,909 epoch 73 - iter 22/226 - loss 3.26277652 - samples/sec: 16.40 - lr: 0.100000 +2021-06-20 05:49:24,404 epoch 73 - iter 44/226 - loss 3.41919297 - samples/sec: 16.57 - lr: 0.100000 +2021-06-20 05:50:06,642 epoch 73 - iter 66/226 - loss 3.47021312 - samples/sec: 16.67 - lr: 0.100000 +2021-06-20 05:50:47,172 epoch 73 - iter 88/226 - loss 3.46648896 - samples/sec: 17.37 - lr: 0.100000 +2021-06-20 05:51:29,736 epoch 73 - iter 110/226 - loss 3.41895801 - samples/sec: 16.54 - lr: 0.100000 +2021-06-20 05:52:14,880 epoch 73 - iter 132/226 - loss 3.42768627 - samples/sec: 15.60 - lr: 0.100000 +2021-06-20 05:52:58,193 epoch 73 - iter 154/226 - loss 3.42288875 - samples/sec: 16.26 - lr: 0.100000 +2021-06-20 05:53:43,986 epoch 73 - iter 176/226 - loss 3.44012484 - samples/sec: 15.38 - lr: 0.100000 +2021-06-20 05:54:26,111 epoch 73 - iter 198/226 - loss 3.43963661 - samples/sec: 16.71 - lr: 0.100000 +2021-06-20 05:55:09,828 epoch 73 - iter 220/226 - loss 3.45519282 - samples/sec: 16.11 - lr: 0.100000 +2021-06-20 05:55:21,533 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:55:21,537 EPOCH 73 done: loss 3.4808 - lr 0.1000000 +2021-06-20 05:55:21,540 BAD EPOCHS (no improvement): 1 +2021-06-20 05:55:21,551 ---------------------------------------------------------------------------------------------------- +2021-06-20 05:56:04,109 epoch 74 - iter 22/226 - loss 3.24431929 - samples/sec: 16.54 - lr: 0.100000 +2021-06-20 05:56:45,143 epoch 74 - iter 44/226 - loss 3.23217473 - samples/sec: 17.16 - lr: 0.100000 +2021-06-20 05:57:28,525 epoch 74 - iter 66/226 - loss 3.27637478 - samples/sec: 16.23 - lr: 0.100000 +2021-06-20 05:58:10,240 epoch 74 - iter 88/226 - loss 3.23895609 - samples/sec: 16.88 - lr: 0.100000 +2021-06-20 05:58:52,960 epoch 74 - iter 110/226 - loss 3.29558837 - samples/sec: 16.48 - lr: 0.100000 +2021-06-20 05:59:36,280 epoch 74 - iter 132/226 - loss 3.35082140 - samples/sec: 16.25 - lr: 0.100000 +2021-06-20 06:00:17,388 epoch 74 - iter 154/226 - loss 3.34286772 - samples/sec: 17.13 - lr: 0.100000 +2021-06-20 06:00:57,976 epoch 74 - iter 176/226 - loss 3.32175331 - samples/sec: 17.35 - lr: 0.100000 +2021-06-20 06:01:43,805 epoch 74 - iter 198/226 - loss 3.33113137 - samples/sec: 15.36 - lr: 0.100000 +2021-06-20 06:02:23,688 epoch 74 - iter 220/226 - loss 3.35395692 - samples/sec: 17.65 - lr: 0.100000 +2021-06-20 06:02:35,945 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:02:35,948 EPOCH 74 done: loss 3.3845 - lr 0.1000000 +2021-06-20 06:02:35,951 BAD EPOCHS (no improvement): 0 +2021-06-20 06:02:35,962 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:03:22,886 epoch 75 - iter 22/226 - loss 3.27105414 - samples/sec: 15.01 - lr: 0.100000 +2021-06-20 06:04:06,682 epoch 75 - iter 44/226 - loss 3.47703566 - samples/sec: 16.08 - lr: 0.100000 +2021-06-20 06:04:51,126 epoch 75 - iter 66/226 - loss 3.38599076 - samples/sec: 15.84 - lr: 0.100000 +2021-06-20 06:05:31,983 epoch 75 - iter 88/226 - loss 3.34404019 - samples/sec: 17.23 - lr: 0.100000 +2021-06-20 06:06:15,959 epoch 75 - iter 110/226 - loss 3.36902849 - samples/sec: 16.01 - lr: 0.100000 +2021-06-20 06:06:59,933 epoch 75 - iter 132/226 - loss 3.37021576 - samples/sec: 16.01 - lr: 0.100000 +2021-06-20 06:07:38,379 epoch 75 - iter 154/226 - loss 3.35027591 - samples/sec: 18.31 - lr: 0.100000 +2021-06-20 06:08:21,903 epoch 75 - iter 176/226 - loss 3.34201901 - samples/sec: 16.18 - lr: 0.100000 +2021-06-20 06:09:07,282 epoch 75 - iter 198/226 - loss 3.30943841 - samples/sec: 15.52 - lr: 0.100000 +2021-06-20 06:09:48,072 epoch 75 - iter 220/226 - loss 3.33301015 - samples/sec: 17.26 - lr: 0.100000 +2021-06-20 06:09:57,689 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:09:57,692 EPOCH 75 done: loss 3.3335 - lr 0.1000000 +2021-06-20 06:09:57,698 BAD EPOCHS (no improvement): 0 +2021-06-20 06:09:57,707 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:10:41,083 epoch 76 - iter 22/226 - loss 3.19523420 - samples/sec: 16.23 - lr: 0.100000 +2021-06-20 06:11:22,754 epoch 76 - iter 44/226 - loss 3.26786955 - samples/sec: 16.90 - lr: 0.100000 +2021-06-20 06:12:04,530 epoch 76 - iter 66/226 - loss 3.30834861 - samples/sec: 16.85 - lr: 0.100000 +2021-06-20 06:12:46,694 epoch 76 - iter 88/226 - loss 3.37723230 - samples/sec: 16.70 - lr: 0.100000 +2021-06-20 06:13:30,095 epoch 76 - iter 110/226 - loss 3.44355901 - samples/sec: 16.22 - lr: 0.100000 +2021-06-20 06:14:14,593 epoch 76 - iter 132/226 - loss 3.40719216 - samples/sec: 15.82 - lr: 0.100000 +2021-06-20 06:15:02,299 epoch 76 - iter 154/226 - loss 3.39714773 - samples/sec: 14.76 - lr: 0.100000 +2021-06-20 06:15:45,743 epoch 76 - iter 176/226 - loss 3.37655707 - samples/sec: 16.21 - lr: 0.100000 +2021-06-20 06:16:27,063 epoch 76 - iter 198/226 - loss 3.38363010 - samples/sec: 17.04 - lr: 0.100000 +2021-06-20 06:17:10,946 epoch 76 - iter 220/226 - loss 3.40154650 - samples/sec: 16.04 - lr: 0.100000 +2021-06-20 06:17:22,865 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:17:22,868 EPOCH 76 done: loss 3.4015 - lr 0.1000000 +2021-06-20 06:17:22,871 BAD EPOCHS (no improvement): 1 +2021-06-20 06:17:22,885 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:18:04,941 epoch 77 - iter 22/226 - loss 3.23243267 - samples/sec: 16.74 - lr: 0.100000 +2021-06-20 06:18:48,654 epoch 77 - iter 44/226 - loss 3.36998899 - samples/sec: 16.11 - lr: 0.100000 +2021-06-20 06:19:32,900 epoch 77 - iter 66/226 - loss 3.27418667 - samples/sec: 15.91 - lr: 0.100000 +2021-06-20 06:20:14,661 epoch 77 - iter 88/226 - loss 3.30651304 - samples/sec: 16.86 - lr: 0.100000 +2021-06-20 06:20:58,304 epoch 77 - iter 110/226 - loss 3.29699338 - samples/sec: 16.13 - lr: 0.100000 +2021-06-20 06:21:44,474 epoch 77 - iter 132/226 - loss 3.31612943 - samples/sec: 15.25 - lr: 0.100000 +2021-06-20 06:22:27,836 epoch 77 - iter 154/226 - loss 3.34259668 - samples/sec: 16.24 - lr: 0.100000 +2021-06-20 06:23:11,581 epoch 77 - iter 176/226 - loss 3.33844598 - samples/sec: 16.10 - lr: 0.100000 +2021-06-20 06:23:54,699 epoch 77 - iter 198/226 - loss 3.33633872 - samples/sec: 16.33 - lr: 0.100000 +2021-06-20 06:24:36,161 epoch 77 - iter 220/226 - loss 3.32131775 - samples/sec: 16.98 - lr: 0.100000 +2021-06-20 06:24:47,629 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:24:47,632 EPOCH 77 done: loss 3.3195 - lr 0.1000000 +2021-06-20 06:24:47,636 BAD EPOCHS (no improvement): 0 +2021-06-20 06:24:47,651 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:25:29,107 epoch 78 - iter 22/226 - loss 3.16813375 - samples/sec: 16.99 - lr: 0.100000 +2021-06-20 06:26:10,699 epoch 78 - iter 44/226 - loss 3.26892544 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 06:26:56,234 epoch 78 - iter 66/226 - loss 3.29095893 - samples/sec: 15.46 - lr: 0.100000 +2021-06-20 06:27:37,105 epoch 78 - iter 88/226 - loss 3.24079837 - samples/sec: 17.23 - lr: 0.100000 +2021-06-20 06:28:20,773 epoch 78 - iter 110/226 - loss 3.23676499 - samples/sec: 16.12 - lr: 0.100000 +2021-06-20 06:29:04,466 epoch 78 - iter 132/226 - loss 3.23938129 - samples/sec: 16.12 - lr: 0.100000 +2021-06-20 06:29:46,251 epoch 78 - iter 154/226 - loss 3.24388610 - samples/sec: 16.85 - lr: 0.100000 +2021-06-20 06:30:30,631 epoch 78 - iter 176/226 - loss 3.26552766 - samples/sec: 15.87 - lr: 0.100000 +2021-06-20 06:31:14,808 epoch 78 - iter 198/226 - loss 3.26294612 - samples/sec: 15.94 - lr: 0.100000 +2021-06-20 06:31:57,559 epoch 78 - iter 220/226 - loss 3.28532571 - samples/sec: 16.47 - lr: 0.100000 +2021-06-20 06:32:09,118 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:32:09,123 EPOCH 78 done: loss 3.3088 - lr 0.1000000 +2021-06-20 06:32:09,126 BAD EPOCHS (no improvement): 0 +2021-06-20 06:32:09,138 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:32:51,495 epoch 79 - iter 22/226 - loss 3.05776180 - samples/sec: 16.62 - lr: 0.100000 +2021-06-20 06:33:34,493 epoch 79 - iter 44/226 - loss 3.09949575 - samples/sec: 16.37 - lr: 0.100000 +2021-06-20 06:34:21,583 epoch 79 - iter 66/226 - loss 3.15505168 - samples/sec: 14.95 - lr: 0.100000 +2021-06-20 06:35:04,143 epoch 79 - iter 88/226 - loss 3.20135838 - samples/sec: 16.54 - lr: 0.100000 +2021-06-20 06:35:46,325 epoch 79 - iter 110/226 - loss 3.16693892 - samples/sec: 16.69 - lr: 0.100000 +2021-06-20 06:36:24,587 epoch 79 - iter 132/226 - loss 3.16782349 - samples/sec: 18.40 - lr: 0.100000 +2021-06-20 06:37:07,311 epoch 79 - iter 154/226 - loss 3.16640431 - samples/sec: 16.48 - lr: 0.100000 +2021-06-20 06:37:52,077 epoch 79 - iter 176/226 - loss 3.13920393 - samples/sec: 15.73 - lr: 0.100000 +2021-06-20 06:38:35,369 epoch 79 - iter 198/226 - loss 3.13776638 - samples/sec: 16.26 - lr: 0.100000 +2021-06-20 06:39:17,021 epoch 79 - iter 220/226 - loss 3.14642174 - samples/sec: 16.91 - lr: 0.100000 +2021-06-20 06:39:28,820 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:39:28,822 EPOCH 79 done: loss 3.1512 - lr 0.1000000 +2021-06-20 06:39:28,828 BAD EPOCHS (no improvement): 0 +2021-06-20 06:39:28,836 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:40:13,693 epoch 80 - iter 22/226 - loss 3.47936434 - samples/sec: 15.70 - lr: 0.100000 +2021-06-20 06:40:56,931 epoch 80 - iter 44/226 - loss 3.25509750 - samples/sec: 16.28 - lr: 0.100000 +2021-06-20 06:41:41,483 epoch 80 - iter 66/226 - loss 3.23941880 - samples/sec: 15.80 - lr: 0.100000 +2021-06-20 06:42:22,492 epoch 80 - iter 88/226 - loss 3.14665577 - samples/sec: 17.17 - lr: 0.100000 +2021-06-20 06:43:04,605 epoch 80 - iter 110/226 - loss 3.15762873 - samples/sec: 16.72 - lr: 0.100000 +2021-06-20 06:43:45,447 epoch 80 - iter 132/226 - loss 3.18249319 - samples/sec: 17.24 - lr: 0.100000 +2021-06-20 06:44:28,429 epoch 80 - iter 154/226 - loss 3.18801150 - samples/sec: 16.38 - lr: 0.100000 +2021-06-20 06:45:09,588 epoch 80 - iter 176/226 - loss 3.21394861 - samples/sec: 17.11 - lr: 0.100000 +2021-06-20 06:45:53,233 epoch 80 - iter 198/226 - loss 3.22520865 - samples/sec: 16.13 - lr: 0.100000 +2021-06-20 06:46:34,833 epoch 80 - iter 220/226 - loss 3.24409577 - samples/sec: 16.93 - lr: 0.100000 +2021-06-20 06:46:45,833 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:46:45,836 EPOCH 80 done: loss 3.2499 - lr 0.1000000 +2021-06-20 06:46:45,839 BAD EPOCHS (no improvement): 1 +2021-06-20 06:46:45,849 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:47:30,558 epoch 81 - iter 22/226 - loss 3.14042297 - samples/sec: 15.75 - lr: 0.100000 +2021-06-20 06:48:13,581 epoch 81 - iter 44/226 - loss 3.15417742 - samples/sec: 16.37 - lr: 0.100000 +2021-06-20 06:48:54,118 epoch 81 - iter 66/226 - loss 3.06295886 - samples/sec: 17.37 - lr: 0.100000 +2021-06-20 06:49:37,204 epoch 81 - iter 88/226 - loss 3.10942378 - samples/sec: 16.34 - lr: 0.100000 +2021-06-20 06:50:16,333 epoch 81 - iter 110/226 - loss 3.14030296 - samples/sec: 17.99 - lr: 0.100000 +2021-06-20 06:50:59,378 epoch 81 - iter 132/226 - loss 3.17106013 - samples/sec: 16.36 - lr: 0.100000 +2021-06-20 06:51:43,036 epoch 81 - iter 154/226 - loss 3.20864455 - samples/sec: 16.13 - lr: 0.100000 +2021-06-20 06:52:27,322 epoch 81 - iter 176/226 - loss 3.22869559 - samples/sec: 15.90 - lr: 0.100000 +2021-06-20 06:53:09,875 epoch 81 - iter 198/226 - loss 3.22858429 - samples/sec: 16.55 - lr: 0.100000 +2021-06-20 06:53:52,883 epoch 81 - iter 220/226 - loss 3.22745342 - samples/sec: 16.37 - lr: 0.100000 +2021-06-20 06:54:03,172 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:54:03,176 EPOCH 81 done: loss 3.2332 - lr 0.1000000 +2021-06-20 06:54:03,184 BAD EPOCHS (no improvement): 2 +2021-06-20 06:54:03,196 ---------------------------------------------------------------------------------------------------- +2021-06-20 06:54:43,951 epoch 82 - iter 22/226 - loss 3.04846859 - samples/sec: 17.28 - lr: 0.100000 +2021-06-20 06:55:27,873 epoch 82 - iter 44/226 - loss 3.21007877 - samples/sec: 16.03 - lr: 0.100000 +2021-06-20 06:56:11,748 epoch 82 - iter 66/226 - loss 3.24895159 - samples/sec: 16.05 - lr: 0.100000 +2021-06-20 06:56:53,062 epoch 82 - iter 88/226 - loss 3.24995598 - samples/sec: 17.04 - lr: 0.100000 +2021-06-20 06:57:36,493 epoch 82 - iter 110/226 - loss 3.21955306 - samples/sec: 16.21 - lr: 0.100000 +2021-06-20 06:58:18,213 epoch 82 - iter 132/226 - loss 3.20289214 - samples/sec: 16.88 - lr: 0.100000 +2021-06-20 06:59:01,885 epoch 82 - iter 154/226 - loss 3.17447208 - samples/sec: 16.12 - lr: 0.100000 +2021-06-20 06:59:44,418 epoch 82 - iter 176/226 - loss 3.20380767 - samples/sec: 16.55 - lr: 0.100000 +2021-06-20 07:00:25,579 epoch 82 - iter 198/226 - loss 3.22432882 - samples/sec: 17.11 - lr: 0.100000 +2021-06-20 07:01:08,012 epoch 82 - iter 220/226 - loss 3.22281231 - samples/sec: 16.59 - lr: 0.100000 +2021-06-20 07:01:19,292 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:01:19,295 EPOCH 82 done: loss 3.2281 - lr 0.1000000 +2021-06-20 07:01:19,299 BAD EPOCHS (no improvement): 3 +2021-06-20 07:01:19,309 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:02:00,819 epoch 83 - iter 22/226 - loss 3.00588666 - samples/sec: 16.96 - lr: 0.100000 +2021-06-20 07:02:40,238 epoch 83 - iter 44/226 - loss 3.05258910 - samples/sec: 17.86 - lr: 0.100000 +2021-06-20 07:03:25,174 epoch 83 - iter 66/226 - loss 3.15541349 - samples/sec: 15.67 - lr: 0.100000 +2021-06-20 07:04:07,953 epoch 83 - iter 88/226 - loss 3.11987159 - samples/sec: 16.46 - lr: 0.100000 +2021-06-20 07:04:48,555 epoch 83 - iter 110/226 - loss 3.15600180 - samples/sec: 17.34 - lr: 0.100000 +2021-06-20 07:05:34,397 epoch 83 - iter 132/226 - loss 3.21130529 - samples/sec: 15.36 - lr: 0.100000 +2021-06-20 07:06:16,081 epoch 83 - iter 154/226 - loss 3.22477581 - samples/sec: 16.89 - lr: 0.100000 +2021-06-20 07:07:00,125 epoch 83 - iter 176/226 - loss 3.21318607 - samples/sec: 15.99 - lr: 0.100000 +2021-06-20 07:07:42,384 epoch 83 - iter 198/226 - loss 3.19455697 - samples/sec: 16.66 - lr: 0.100000 +2021-06-20 07:08:24,718 epoch 83 - iter 220/226 - loss 3.19258975 - samples/sec: 16.63 - lr: 0.100000 +2021-06-20 07:08:36,479 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:08:36,482 EPOCH 83 done: loss 3.1868 - lr 0.1000000 +2021-06-20 07:08:36,488 BAD EPOCHS (no improvement): 4 +2021-06-20 07:08:36,496 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:09:18,862 epoch 84 - iter 22/226 - loss 3.02113570 - samples/sec: 16.62 - lr: 0.050000 +2021-06-20 07:10:00,456 epoch 84 - iter 44/226 - loss 3.08289420 - samples/sec: 16.93 - lr: 0.050000 +2021-06-20 07:10:42,622 epoch 84 - iter 66/226 - loss 2.97104935 - samples/sec: 16.70 - lr: 0.050000 +2021-06-20 07:11:23,510 epoch 84 - iter 88/226 - loss 2.99315360 - samples/sec: 17.22 - lr: 0.050000 +2021-06-20 07:12:08,080 epoch 84 - iter 110/226 - loss 3.00861904 - samples/sec: 15.80 - lr: 0.050000 +2021-06-20 07:12:52,132 epoch 84 - iter 132/226 - loss 2.99387131 - samples/sec: 15.98 - lr: 0.050000 +2021-06-20 07:13:34,346 epoch 84 - iter 154/226 - loss 3.01949225 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 07:14:15,426 epoch 84 - iter 176/226 - loss 3.02933683 - samples/sec: 17.14 - lr: 0.050000 +2021-06-20 07:14:56,005 epoch 84 - iter 198/226 - loss 3.01627028 - samples/sec: 17.35 - lr: 0.050000 +2021-06-20 07:15:42,072 epoch 84 - iter 220/226 - loss 3.00787678 - samples/sec: 15.28 - lr: 0.050000 +2021-06-20 07:15:53,076 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:15:53,079 EPOCH 84 done: loss 3.0061 - lr 0.0500000 +2021-06-20 07:15:53,082 BAD EPOCHS (no improvement): 0 +2021-06-20 07:15:53,090 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:16:37,062 epoch 85 - iter 22/226 - loss 3.05635117 - samples/sec: 16.01 - lr: 0.050000 +2021-06-20 07:17:19,926 epoch 85 - iter 44/226 - loss 2.96761619 - samples/sec: 16.43 - lr: 0.050000 +2021-06-20 07:18:02,862 epoch 85 - iter 66/226 - loss 2.95033767 - samples/sec: 16.40 - lr: 0.050000 +2021-06-20 07:18:45,625 epoch 85 - iter 88/226 - loss 3.00109747 - samples/sec: 16.47 - lr: 0.050000 +2021-06-20 07:19:27,159 epoch 85 - iter 110/226 - loss 3.05403622 - samples/sec: 16.95 - lr: 0.050000 +2021-06-20 07:20:10,540 epoch 85 - iter 132/226 - loss 3.02083106 - samples/sec: 16.23 - lr: 0.050000 +2021-06-20 07:20:51,749 epoch 85 - iter 154/226 - loss 3.00459915 - samples/sec: 17.09 - lr: 0.050000 +2021-06-20 07:21:35,729 epoch 85 - iter 176/226 - loss 3.00371430 - samples/sec: 16.01 - lr: 0.050000 +2021-06-20 07:22:20,849 epoch 85 - iter 198/226 - loss 3.00576521 - samples/sec: 15.60 - lr: 0.050000 +2021-06-20 07:23:03,204 epoch 85 - iter 220/226 - loss 2.98483854 - samples/sec: 16.62 - lr: 0.050000 +2021-06-20 07:23:15,139 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:23:15,143 EPOCH 85 done: loss 2.9941 - lr 0.0500000 +2021-06-20 07:23:15,146 BAD EPOCHS (no improvement): 0 +2021-06-20 07:23:15,158 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:23:59,721 epoch 86 - iter 22/226 - loss 3.08997107 - samples/sec: 15.80 - lr: 0.050000 +2021-06-20 07:24:44,510 epoch 86 - iter 44/226 - loss 3.04827410 - samples/sec: 15.72 - lr: 0.050000 +2021-06-20 07:25:24,847 epoch 86 - iter 66/226 - loss 2.96402142 - samples/sec: 17.46 - lr: 0.050000 +2021-06-20 07:26:10,522 epoch 86 - iter 88/226 - loss 2.92107103 - samples/sec: 15.42 - lr: 0.050000 +2021-06-20 07:26:53,771 epoch 86 - iter 110/226 - loss 2.91458875 - samples/sec: 16.28 - lr: 0.050000 +2021-06-20 07:27:35,680 epoch 86 - iter 132/226 - loss 2.90223707 - samples/sec: 16.80 - lr: 0.050000 +2021-06-20 07:28:21,168 epoch 86 - iter 154/226 - loss 2.88909284 - samples/sec: 15.48 - lr: 0.050000 +2021-06-20 07:29:05,024 epoch 86 - iter 176/226 - loss 2.91157169 - samples/sec: 16.05 - lr: 0.050000 +2021-06-20 07:29:49,568 epoch 86 - iter 198/226 - loss 2.92619713 - samples/sec: 15.81 - lr: 0.050000 +2021-06-20 07:30:32,868 epoch 86 - iter 220/226 - loss 2.93875393 - samples/sec: 16.26 - lr: 0.050000 +2021-06-20 07:30:42,573 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:30:42,576 EPOCH 86 done: loss 2.9346 - lr 0.0500000 +2021-06-20 07:30:42,583 BAD EPOCHS (no improvement): 0 +2021-06-20 07:30:42,593 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:31:26,481 epoch 87 - iter 22/226 - loss 3.09325706 - samples/sec: 16.04 - lr: 0.050000 +2021-06-20 07:32:10,802 epoch 87 - iter 44/226 - loss 2.89923998 - samples/sec: 15.89 - lr: 0.050000 +2021-06-20 07:32:57,083 epoch 87 - iter 66/226 - loss 2.92424799 - samples/sec: 15.21 - lr: 0.050000 +2021-06-20 07:33:41,150 epoch 87 - iter 88/226 - loss 2.93293523 - samples/sec: 15.98 - lr: 0.050000 +2021-06-20 07:34:24,244 epoch 87 - iter 110/226 - loss 2.93967096 - samples/sec: 16.34 - lr: 0.050000 +2021-06-20 07:35:07,453 epoch 87 - iter 132/226 - loss 2.92950468 - samples/sec: 16.29 - lr: 0.050000 +2021-06-20 07:35:51,477 epoch 87 - iter 154/226 - loss 2.94829895 - samples/sec: 15.99 - lr: 0.050000 +2021-06-20 07:36:34,947 epoch 87 - iter 176/226 - loss 2.94869225 - samples/sec: 16.20 - lr: 0.050000 +2021-06-20 07:37:17,015 epoch 87 - iter 198/226 - loss 2.93991302 - samples/sec: 16.74 - lr: 0.050000 +2021-06-20 07:37:58,665 epoch 87 - iter 220/226 - loss 2.92316830 - samples/sec: 16.91 - lr: 0.050000 +2021-06-20 07:38:10,388 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:38:10,391 EPOCH 87 done: loss 2.9220 - lr 0.0500000 +2021-06-20 07:38:10,394 BAD EPOCHS (no improvement): 0 +2021-06-20 07:38:10,402 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:38:52,262 epoch 88 - iter 22/226 - loss 2.99829026 - samples/sec: 16.82 - lr: 0.050000 +2021-06-20 07:39:36,498 epoch 88 - iter 44/226 - loss 2.96378643 - samples/sec: 15.92 - lr: 0.050000 +2021-06-20 07:40:20,506 epoch 88 - iter 66/226 - loss 2.87883238 - samples/sec: 16.00 - lr: 0.050000 +2021-06-20 07:41:01,900 epoch 88 - iter 88/226 - loss 2.84775290 - samples/sec: 17.01 - lr: 0.050000 +2021-06-20 07:41:48,970 epoch 88 - iter 110/226 - loss 2.85328834 - samples/sec: 14.96 - lr: 0.050000 +2021-06-20 07:42:30,144 epoch 88 - iter 132/226 - loss 2.85123147 - samples/sec: 17.10 - lr: 0.050000 +2021-06-20 07:43:12,984 epoch 88 - iter 154/226 - loss 2.82108355 - samples/sec: 16.44 - lr: 0.050000 +2021-06-20 07:43:53,751 epoch 88 - iter 176/226 - loss 2.82632456 - samples/sec: 17.27 - lr: 0.050000 +2021-06-20 07:44:39,476 epoch 88 - iter 198/226 - loss 2.82807691 - samples/sec: 15.40 - lr: 0.050000 +2021-06-20 07:45:22,666 epoch 88 - iter 220/226 - loss 2.82001787 - samples/sec: 16.30 - lr: 0.050000 +2021-06-20 07:45:32,841 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:45:32,846 EPOCH 88 done: loss 2.8231 - lr 0.0500000 +2021-06-20 07:45:32,849 BAD EPOCHS (no improvement): 0 +2021-06-20 07:45:32,863 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:46:17,001 epoch 89 - iter 22/226 - loss 2.78353145 - samples/sec: 15.95 - lr: 0.050000 +2021-06-20 07:47:00,138 epoch 89 - iter 44/226 - loss 2.76716846 - samples/sec: 16.32 - lr: 0.050000 +2021-06-20 07:47:43,519 epoch 89 - iter 66/226 - loss 2.82040625 - samples/sec: 16.23 - lr: 0.050000 +2021-06-20 07:48:26,467 epoch 89 - iter 88/226 - loss 2.79283386 - samples/sec: 16.40 - lr: 0.050000 +2021-06-20 07:49:10,791 epoch 89 - iter 110/226 - loss 2.83182170 - samples/sec: 15.88 - lr: 0.050000 +2021-06-20 07:49:53,077 epoch 89 - iter 132/226 - loss 2.84513039 - samples/sec: 16.65 - lr: 0.050000 +2021-06-20 07:50:34,512 epoch 89 - iter 154/226 - loss 2.86351063 - samples/sec: 16.99 - lr: 0.050000 +2021-06-20 07:51:17,642 epoch 89 - iter 176/226 - loss 2.84350034 - samples/sec: 16.32 - lr: 0.050000 +2021-06-20 07:52:03,804 epoch 89 - iter 198/226 - loss 2.84278637 - samples/sec: 15.25 - lr: 0.050000 +2021-06-20 07:52:46,757 epoch 89 - iter 220/226 - loss 2.84501220 - samples/sec: 16.39 - lr: 0.050000 +2021-06-20 07:52:57,627 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:52:57,629 EPOCH 89 done: loss 2.8476 - lr 0.0500000 +2021-06-20 07:52:57,632 BAD EPOCHS (no improvement): 1 +2021-06-20 07:52:57,645 ---------------------------------------------------------------------------------------------------- +2021-06-20 07:53:36,770 epoch 90 - iter 22/226 - loss 3.11849394 - samples/sec: 18.00 - lr: 0.050000 +2021-06-20 07:54:22,354 epoch 90 - iter 44/226 - loss 2.94415075 - samples/sec: 15.45 - lr: 0.050000 +2021-06-20 07:55:04,976 epoch 90 - iter 66/226 - loss 2.93827503 - samples/sec: 16.52 - lr: 0.050000 +2021-06-20 07:55:49,757 epoch 90 - iter 88/226 - loss 2.90323238 - samples/sec: 15.72 - lr: 0.050000 +2021-06-20 07:56:33,171 epoch 90 - iter 110/226 - loss 2.82563300 - samples/sec: 16.22 - lr: 0.050000 +2021-06-20 07:57:18,371 epoch 90 - iter 132/226 - loss 2.84396989 - samples/sec: 15.58 - lr: 0.050000 +2021-06-20 07:58:04,270 epoch 90 - iter 154/226 - loss 2.83694812 - samples/sec: 15.34 - lr: 0.050000 +2021-06-20 07:58:46,471 epoch 90 - iter 176/226 - loss 2.83604459 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 07:59:30,561 epoch 90 - iter 198/226 - loss 2.81572065 - samples/sec: 15.97 - lr: 0.050000 +2021-06-20 08:00:11,359 epoch 90 - iter 220/226 - loss 2.80116782 - samples/sec: 17.26 - lr: 0.050000 +2021-06-20 08:00:23,330 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:00:23,333 EPOCH 90 done: loss 2.8057 - lr 0.0500000 +2021-06-20 08:00:23,336 BAD EPOCHS (no improvement): 0 +2021-06-20 08:00:23,349 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:01:08,030 epoch 91 - iter 22/226 - loss 2.91115704 - samples/sec: 15.76 - lr: 0.050000 +2021-06-20 08:01:50,019 epoch 91 - iter 44/226 - loss 2.76764043 - samples/sec: 16.77 - lr: 0.050000 +2021-06-20 08:02:30,048 epoch 91 - iter 66/226 - loss 2.71487162 - samples/sec: 17.59 - lr: 0.050000 +2021-06-20 08:03:12,228 epoch 91 - iter 88/226 - loss 2.72262610 - samples/sec: 16.69 - lr: 0.050000 +2021-06-20 08:03:55,694 epoch 91 - iter 110/226 - loss 2.71947054 - samples/sec: 16.20 - lr: 0.050000 +2021-06-20 08:04:40,131 epoch 91 - iter 132/226 - loss 2.74105730 - samples/sec: 15.84 - lr: 0.050000 +2021-06-20 08:05:24,991 epoch 91 - iter 154/226 - loss 2.76893838 - samples/sec: 15.70 - lr: 0.050000 +2021-06-20 08:06:10,747 epoch 91 - iter 176/226 - loss 2.76096395 - samples/sec: 15.39 - lr: 0.050000 +2021-06-20 08:06:55,638 epoch 91 - iter 198/226 - loss 2.76317689 - samples/sec: 15.68 - lr: 0.050000 +2021-06-20 08:07:39,597 epoch 91 - iter 220/226 - loss 2.77336351 - samples/sec: 16.02 - lr: 0.050000 +2021-06-20 08:07:51,424 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:07:51,429 EPOCH 91 done: loss 2.7758 - lr 0.0500000 +2021-06-20 08:07:51,434 BAD EPOCHS (no improvement): 0 +2021-06-20 08:07:51,445 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:08:32,747 epoch 92 - iter 22/226 - loss 2.74829011 - samples/sec: 17.05 - lr: 0.050000 +2021-06-20 08:09:17,444 epoch 92 - iter 44/226 - loss 2.91171168 - samples/sec: 15.75 - lr: 0.050000 +2021-06-20 08:10:01,345 epoch 92 - iter 66/226 - loss 2.84754073 - samples/sec: 16.04 - lr: 0.050000 +2021-06-20 08:10:43,950 epoch 92 - iter 88/226 - loss 2.79155859 - samples/sec: 16.53 - lr: 0.050000 +2021-06-20 08:11:28,069 epoch 92 - iter 110/226 - loss 2.81133111 - samples/sec: 15.96 - lr: 0.050000 +2021-06-20 08:12:11,279 epoch 92 - iter 132/226 - loss 2.85760460 - samples/sec: 16.29 - lr: 0.050000 +2021-06-20 08:12:55,608 epoch 92 - iter 154/226 - loss 2.83637555 - samples/sec: 15.88 - lr: 0.050000 +2021-06-20 08:13:40,500 epoch 92 - iter 176/226 - loss 2.81028120 - samples/sec: 15.68 - lr: 0.050000 +2021-06-20 08:14:22,984 epoch 92 - iter 198/226 - loss 2.79798958 - samples/sec: 16.57 - lr: 0.050000 +2021-06-20 08:15:02,592 epoch 92 - iter 220/226 - loss 2.78921401 - samples/sec: 17.78 - lr: 0.050000 +2021-06-20 08:15:12,932 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:15:12,935 EPOCH 92 done: loss 2.7813 - lr 0.0500000 +2021-06-20 08:15:12,938 BAD EPOCHS (no improvement): 1 +2021-06-20 08:15:12,957 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:15:53,755 epoch 93 - iter 22/226 - loss 2.45978718 - samples/sec: 17.26 - lr: 0.050000 +2021-06-20 08:16:37,529 epoch 93 - iter 44/226 - loss 2.56266324 - samples/sec: 16.08 - lr: 0.050000 +2021-06-20 08:17:21,177 epoch 93 - iter 66/226 - loss 2.65903200 - samples/sec: 16.13 - lr: 0.050000 +2021-06-20 08:18:05,608 epoch 93 - iter 88/226 - loss 2.66433614 - samples/sec: 15.85 - lr: 0.050000 +2021-06-20 08:18:51,252 epoch 93 - iter 110/226 - loss 2.71837929 - samples/sec: 15.43 - lr: 0.050000 +2021-06-20 08:19:33,829 epoch 93 - iter 132/226 - loss 2.69935137 - samples/sec: 16.54 - lr: 0.050000 +2021-06-20 08:20:16,363 epoch 93 - iter 154/226 - loss 2.70887737 - samples/sec: 16.55 - lr: 0.050000 +2021-06-20 08:21:00,200 epoch 93 - iter 176/226 - loss 2.71621499 - samples/sec: 16.06 - lr: 0.050000 +2021-06-20 08:21:43,831 epoch 93 - iter 198/226 - loss 2.72526227 - samples/sec: 16.14 - lr: 0.050000 +2021-06-20 08:22:24,361 epoch 93 - iter 220/226 - loss 2.71081331 - samples/sec: 17.37 - lr: 0.050000 +2021-06-20 08:22:35,083 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:22:35,086 EPOCH 93 done: loss 2.7121 - lr 0.0500000 +2021-06-20 08:22:35,088 BAD EPOCHS (no improvement): 0 +2021-06-20 08:22:35,101 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:23:19,141 epoch 94 - iter 22/226 - loss 2.53042261 - samples/sec: 15.99 - lr: 0.050000 +2021-06-20 08:24:03,230 epoch 94 - iter 44/226 - loss 2.62082327 - samples/sec: 15.97 - lr: 0.050000 +2021-06-20 08:24:45,170 epoch 94 - iter 66/226 - loss 2.68932264 - samples/sec: 16.79 - lr: 0.050000 +2021-06-20 08:25:28,335 epoch 94 - iter 88/226 - loss 2.71475568 - samples/sec: 16.31 - lr: 0.050000 +2021-06-20 08:26:13,465 epoch 94 - iter 110/226 - loss 2.68671889 - samples/sec: 15.60 - lr: 0.050000 +2021-06-20 08:26:57,104 epoch 94 - iter 132/226 - loss 2.70995942 - samples/sec: 16.13 - lr: 0.050000 +2021-06-20 08:27:40,355 epoch 94 - iter 154/226 - loss 2.68157370 - samples/sec: 16.28 - lr: 0.050000 +2021-06-20 08:28:24,867 epoch 94 - iter 176/226 - loss 2.69253594 - samples/sec: 15.82 - lr: 0.050000 +2021-06-20 08:29:07,309 epoch 94 - iter 198/226 - loss 2.68835453 - samples/sec: 16.59 - lr: 0.050000 +2021-06-20 08:29:49,799 epoch 94 - iter 220/226 - loss 2.70030700 - samples/sec: 16.57 - lr: 0.050000 +2021-06-20 08:29:59,884 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:29:59,888 EPOCH 94 done: loss 2.7057 - lr 0.0500000 +2021-06-20 08:29:59,895 BAD EPOCHS (no improvement): 0 +2021-06-20 08:29:59,909 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:30:40,533 epoch 95 - iter 22/226 - loss 2.74410119 - samples/sec: 17.33 - lr: 0.050000 +2021-06-20 08:31:23,383 epoch 95 - iter 44/226 - loss 2.74493732 - samples/sec: 16.43 - lr: 0.050000 +2021-06-20 08:32:07,439 epoch 95 - iter 66/226 - loss 2.71627536 - samples/sec: 15.98 - lr: 0.050000 +2021-06-20 08:32:50,502 epoch 95 - iter 88/226 - loss 2.69641354 - samples/sec: 16.35 - lr: 0.050000 +2021-06-20 08:33:35,350 epoch 95 - iter 110/226 - loss 2.70751661 - samples/sec: 15.70 - lr: 0.050000 +2021-06-20 08:34:18,321 epoch 95 - iter 132/226 - loss 2.69800967 - samples/sec: 16.39 - lr: 0.050000 +2021-06-20 08:34:59,726 epoch 95 - iter 154/226 - loss 2.65530216 - samples/sec: 17.01 - lr: 0.050000 +2021-06-20 08:35:43,987 epoch 95 - iter 176/226 - loss 2.64853823 - samples/sec: 15.91 - lr: 0.050000 +2021-06-20 08:36:29,734 epoch 95 - iter 198/226 - loss 2.65850560 - samples/sec: 15.39 - lr: 0.050000 +2021-06-20 08:37:13,604 epoch 95 - iter 220/226 - loss 2.66616056 - samples/sec: 16.05 - lr: 0.050000 +2021-06-20 08:37:24,009 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:37:24,012 EPOCH 95 done: loss 2.6693 - lr 0.0500000 +2021-06-20 08:37:24,018 BAD EPOCHS (no improvement): 0 +2021-06-20 08:37:24,030 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:38:06,097 epoch 96 - iter 22/226 - loss 2.52048304 - samples/sec: 16.74 - lr: 0.050000 +2021-06-20 08:38:49,240 epoch 96 - iter 44/226 - loss 2.57446522 - samples/sec: 16.32 - lr: 0.050000 +2021-06-20 08:39:32,465 epoch 96 - iter 66/226 - loss 2.54707660 - samples/sec: 16.29 - lr: 0.050000 +2021-06-20 08:40:16,354 epoch 96 - iter 88/226 - loss 2.59396676 - samples/sec: 16.04 - lr: 0.050000 +2021-06-20 08:40:57,832 epoch 96 - iter 110/226 - loss 2.58346600 - samples/sec: 16.97 - lr: 0.050000 +2021-06-20 08:41:40,046 epoch 96 - iter 132/226 - loss 2.58928471 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 08:42:22,660 epoch 96 - iter 154/226 - loss 2.63654844 - samples/sec: 16.52 - lr: 0.050000 +2021-06-20 08:43:06,401 epoch 96 - iter 176/226 - loss 2.64321354 - samples/sec: 16.10 - lr: 0.050000 +2021-06-20 08:43:54,264 epoch 96 - iter 198/226 - loss 2.65038130 - samples/sec: 14.71 - lr: 0.050000 +2021-06-20 08:44:35,480 epoch 96 - iter 220/226 - loss 2.66803368 - samples/sec: 17.08 - lr: 0.050000 +2021-06-20 08:44:46,524 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:44:46,527 EPOCH 96 done: loss 2.6687 - lr 0.0500000 +2021-06-20 08:44:46,529 BAD EPOCHS (no improvement): 0 +2021-06-20 08:44:46,542 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:45:28,907 epoch 97 - iter 22/226 - loss 2.72973936 - samples/sec: 16.62 - lr: 0.050000 +2021-06-20 08:46:12,687 epoch 97 - iter 44/226 - loss 2.73293261 - samples/sec: 16.08 - lr: 0.050000 +2021-06-20 08:46:54,523 epoch 97 - iter 66/226 - loss 2.69763266 - samples/sec: 16.83 - lr: 0.050000 +2021-06-20 08:47:39,032 epoch 97 - iter 88/226 - loss 2.68380445 - samples/sec: 15.82 - lr: 0.050000 +2021-06-20 08:48:21,048 epoch 97 - iter 110/226 - loss 2.73784576 - samples/sec: 16.76 - lr: 0.050000 +2021-06-20 08:49:04,726 epoch 97 - iter 132/226 - loss 2.72986894 - samples/sec: 16.12 - lr: 0.050000 +2021-06-20 08:49:48,133 epoch 97 - iter 154/226 - loss 2.76821023 - samples/sec: 16.22 - lr: 0.050000 +2021-06-20 08:50:31,070 epoch 97 - iter 176/226 - loss 2.76238204 - samples/sec: 16.40 - lr: 0.050000 +2021-06-20 08:51:11,716 epoch 97 - iter 198/226 - loss 2.74399603 - samples/sec: 17.32 - lr: 0.050000 +2021-06-20 08:51:58,126 epoch 97 - iter 220/226 - loss 2.75383405 - samples/sec: 15.17 - lr: 0.050000 +2021-06-20 08:52:08,584 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:52:08,587 EPOCH 97 done: loss 2.7522 - lr 0.0500000 +2021-06-20 08:52:08,590 BAD EPOCHS (no improvement): 1 +2021-06-20 08:52:08,602 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:52:48,339 epoch 98 - iter 22/226 - loss 2.24153838 - samples/sec: 17.72 - lr: 0.050000 +2021-06-20 08:53:30,452 epoch 98 - iter 44/226 - loss 2.46071397 - samples/sec: 16.72 - lr: 0.050000 +2021-06-20 08:54:15,122 epoch 98 - iter 66/226 - loss 2.55951003 - samples/sec: 15.76 - lr: 0.050000 +2021-06-20 08:54:57,714 epoch 98 - iter 88/226 - loss 2.65328260 - samples/sec: 16.53 - lr: 0.050000 +2021-06-20 08:55:42,672 epoch 98 - iter 110/226 - loss 2.69088355 - samples/sec: 15.66 - lr: 0.050000 +2021-06-20 08:56:23,571 epoch 98 - iter 132/226 - loss 2.69048331 - samples/sec: 17.22 - lr: 0.050000 +2021-06-20 08:57:05,776 epoch 98 - iter 154/226 - loss 2.69865513 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 08:57:49,534 epoch 98 - iter 176/226 - loss 2.69725344 - samples/sec: 16.09 - lr: 0.050000 +2021-06-20 08:58:32,560 epoch 98 - iter 198/226 - loss 2.67822316 - samples/sec: 16.36 - lr: 0.050000 +2021-06-20 08:59:20,406 epoch 98 - iter 220/226 - loss 2.67882149 - samples/sec: 14.72 - lr: 0.050000 +2021-06-20 08:59:32,126 ---------------------------------------------------------------------------------------------------- +2021-06-20 08:59:32,129 EPOCH 98 done: loss 2.6696 - lr 0.0500000 +2021-06-20 08:59:32,131 BAD EPOCHS (no improvement): 2 +2021-06-20 08:59:32,144 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:00:13,123 epoch 99 - iter 22/226 - loss 2.58091389 - samples/sec: 17.18 - lr: 0.050000 +2021-06-20 09:00:56,478 epoch 99 - iter 44/226 - loss 2.64493834 - samples/sec: 16.24 - lr: 0.050000 +2021-06-20 09:01:39,607 epoch 99 - iter 66/226 - loss 2.67832385 - samples/sec: 16.33 - lr: 0.050000 +2021-06-20 09:02:24,239 epoch 99 - iter 88/226 - loss 2.67836463 - samples/sec: 15.78 - lr: 0.050000 +2021-06-20 09:03:09,303 epoch 99 - iter 110/226 - loss 2.68268685 - samples/sec: 15.63 - lr: 0.050000 +2021-06-20 09:03:54,320 epoch 99 - iter 132/226 - loss 2.69874035 - samples/sec: 15.64 - lr: 0.050000 +2021-06-20 09:04:37,588 epoch 99 - iter 154/226 - loss 2.69636643 - samples/sec: 16.27 - lr: 0.050000 +2021-06-20 09:05:21,200 epoch 99 - iter 176/226 - loss 2.66882623 - samples/sec: 16.14 - lr: 0.050000 +2021-06-20 09:06:03,169 epoch 99 - iter 198/226 - loss 2.67160115 - samples/sec: 16.78 - lr: 0.050000 +2021-06-20 09:06:47,306 epoch 99 - iter 220/226 - loss 2.67022995 - samples/sec: 15.95 - lr: 0.050000 +2021-06-20 09:06:56,642 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:06:56,644 EPOCH 99 done: loss 2.6674 - lr 0.0500000 +2021-06-20 09:06:56,649 BAD EPOCHS (no improvement): 0 +2021-06-20 09:06:56,660 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:07:38,343 epoch 100 - iter 22/226 - loss 2.55239728 - samples/sec: 16.89 - lr: 0.050000 +2021-06-20 09:08:20,666 epoch 100 - iter 44/226 - loss 2.55107950 - samples/sec: 16.64 - lr: 0.050000 +2021-06-20 09:09:05,717 epoch 100 - iter 66/226 - loss 2.53765345 - samples/sec: 15.63 - lr: 0.050000 +2021-06-20 09:09:50,770 epoch 100 - iter 88/226 - loss 2.53467282 - samples/sec: 15.63 - lr: 0.050000 +2021-06-20 09:10:32,427 epoch 100 - iter 110/226 - loss 2.56769898 - samples/sec: 16.90 - lr: 0.050000 +2021-06-20 09:11:17,318 epoch 100 - iter 132/226 - loss 2.58475910 - samples/sec: 15.68 - lr: 0.050000 +2021-06-20 09:11:58,952 epoch 100 - iter 154/226 - loss 2.61422314 - samples/sec: 16.91 - lr: 0.050000 +2021-06-20 09:12:42,289 epoch 100 - iter 176/226 - loss 2.60628939 - samples/sec: 16.25 - lr: 0.050000 +2021-06-20 09:13:24,868 epoch 100 - iter 198/226 - loss 2.61198270 - samples/sec: 16.54 - lr: 0.050000 +2021-06-20 09:14:06,105 epoch 100 - iter 220/226 - loss 2.60753974 - samples/sec: 17.07 - lr: 0.050000 +2021-06-20 09:14:17,068 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:14:17,069 EPOCH 100 done: loss 2.6102 - lr 0.0500000 +2021-06-20 09:14:17,073 BAD EPOCHS (no improvement): 0 +2021-06-20 09:14:17,089 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:14:58,318 epoch 101 - iter 22/226 - loss 2.49310296 - samples/sec: 17.08 - lr: 0.050000 +2021-06-20 09:15:44,338 epoch 101 - iter 44/226 - loss 2.50777799 - samples/sec: 15.30 - lr: 0.050000 +2021-06-20 09:16:23,935 epoch 101 - iter 66/226 - loss 2.49651965 - samples/sec: 17.78 - lr: 0.050000 +2021-06-20 09:17:06,251 epoch 101 - iter 88/226 - loss 2.55659876 - samples/sec: 16.64 - lr: 0.050000 +2021-06-20 09:17:50,357 epoch 101 - iter 110/226 - loss 2.56290438 - samples/sec: 15.96 - lr: 0.050000 +2021-06-20 09:18:33,025 epoch 101 - iter 132/226 - loss 2.59249639 - samples/sec: 16.50 - lr: 0.050000 +2021-06-20 09:19:18,351 epoch 101 - iter 154/226 - loss 2.60091355 - samples/sec: 15.53 - lr: 0.050000 +2021-06-20 09:20:02,090 epoch 101 - iter 176/226 - loss 2.60914204 - samples/sec: 16.10 - lr: 0.050000 +2021-06-20 09:20:46,399 epoch 101 - iter 198/226 - loss 2.60970453 - samples/sec: 15.89 - lr: 0.050000 +2021-06-20 09:21:26,890 epoch 101 - iter 220/226 - loss 2.60203674 - samples/sec: 17.39 - lr: 0.050000 +2021-06-20 09:21:38,133 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:21:38,137 EPOCH 101 done: loss 2.6054 - lr 0.0500000 +2021-06-20 09:21:38,140 BAD EPOCHS (no improvement): 0 +2021-06-20 09:21:38,155 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:22:22,549 epoch 102 - iter 22/226 - loss 2.68300097 - samples/sec: 15.86 - lr: 0.050000 +2021-06-20 09:23:03,507 epoch 102 - iter 44/226 - loss 2.46682017 - samples/sec: 17.19 - lr: 0.050000 +2021-06-20 09:23:44,918 epoch 102 - iter 66/226 - loss 2.55488450 - samples/sec: 17.00 - lr: 0.050000 +2021-06-20 09:24:26,769 epoch 102 - iter 88/226 - loss 2.58629412 - samples/sec: 16.82 - lr: 0.050000 +2021-06-20 09:25:09,632 epoch 102 - iter 110/226 - loss 2.55168490 - samples/sec: 16.43 - lr: 0.050000 +2021-06-20 09:25:52,681 epoch 102 - iter 132/226 - loss 2.51686704 - samples/sec: 16.36 - lr: 0.050000 +2021-06-20 09:26:37,402 epoch 102 - iter 154/226 - loss 2.55515747 - samples/sec: 15.74 - lr: 0.050000 +2021-06-20 09:27:20,060 epoch 102 - iter 176/226 - loss 2.56156396 - samples/sec: 16.51 - lr: 0.050000 +2021-06-20 09:28:05,038 epoch 102 - iter 198/226 - loss 2.53953964 - samples/sec: 15.65 - lr: 0.050000 +2021-06-20 09:28:49,151 epoch 102 - iter 220/226 - loss 2.54901692 - samples/sec: 15.96 - lr: 0.050000 +2021-06-20 09:28:59,998 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:29:00,001 EPOCH 102 done: loss 2.5427 - lr 0.0500000 +2021-06-20 09:29:00,006 BAD EPOCHS (no improvement): 0 +2021-06-20 09:29:00,015 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:29:42,227 epoch 103 - iter 22/226 - loss 2.55526554 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 09:30:25,567 epoch 103 - iter 44/226 - loss 2.55785243 - samples/sec: 16.25 - lr: 0.050000 +2021-06-20 09:31:07,706 epoch 103 - iter 66/226 - loss 2.61119605 - samples/sec: 16.71 - lr: 0.050000 +2021-06-20 09:31:51,368 epoch 103 - iter 88/226 - loss 2.58164093 - samples/sec: 16.13 - lr: 0.050000 +2021-06-20 09:32:32,566 epoch 103 - iter 110/226 - loss 2.54395156 - samples/sec: 17.09 - lr: 0.050000 +2021-06-20 09:33:16,826 epoch 103 - iter 132/226 - loss 2.57437228 - samples/sec: 15.91 - lr: 0.050000 +2021-06-20 09:33:59,918 epoch 103 - iter 154/226 - loss 2.58438957 - samples/sec: 16.34 - lr: 0.050000 +2021-06-20 09:34:41,926 epoch 103 - iter 176/226 - loss 2.60362257 - samples/sec: 16.76 - lr: 0.050000 +2021-06-20 09:35:21,968 epoch 103 - iter 198/226 - loss 2.58225955 - samples/sec: 17.58 - lr: 0.050000 +2021-06-20 09:36:09,112 epoch 103 - iter 220/226 - loss 2.58829265 - samples/sec: 14.93 - lr: 0.050000 +2021-06-20 09:36:21,001 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:36:21,005 EPOCH 103 done: loss 2.5885 - lr 0.0500000 +2021-06-20 09:36:21,011 BAD EPOCHS (no improvement): 1 +2021-06-20 09:36:21,023 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:37:03,118 epoch 104 - iter 22/226 - loss 2.69755624 - samples/sec: 16.73 - lr: 0.050000 +2021-06-20 09:37:44,811 epoch 104 - iter 44/226 - loss 2.56346629 - samples/sec: 16.89 - lr: 0.050000 +2021-06-20 09:38:27,348 epoch 104 - iter 66/226 - loss 2.60433188 - samples/sec: 16.55 - lr: 0.050000 +2021-06-20 09:39:13,374 epoch 104 - iter 88/226 - loss 2.56614376 - samples/sec: 15.30 - lr: 0.050000 +2021-06-20 09:39:57,627 epoch 104 - iter 110/226 - loss 2.58170804 - samples/sec: 15.91 - lr: 0.050000 +2021-06-20 09:40:39,783 epoch 104 - iter 132/226 - loss 2.57490879 - samples/sec: 16.70 - lr: 0.050000 +2021-06-20 09:41:24,003 epoch 104 - iter 154/226 - loss 2.58237384 - samples/sec: 15.92 - lr: 0.050000 +2021-06-20 09:42:08,640 epoch 104 - iter 176/226 - loss 2.58035591 - samples/sec: 15.78 - lr: 0.050000 +2021-06-20 09:42:51,008 epoch 104 - iter 198/226 - loss 2.57573945 - samples/sec: 16.62 - lr: 0.050000 +2021-06-20 09:43:34,004 epoch 104 - iter 220/226 - loss 2.55603703 - samples/sec: 16.38 - lr: 0.050000 +2021-06-20 09:43:45,080 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:43:45,085 EPOCH 104 done: loss 2.5534 - lr 0.0500000 +2021-06-20 09:43:45,095 BAD EPOCHS (no improvement): 2 +2021-06-20 09:43:45,106 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:44:28,195 epoch 105 - iter 22/226 - loss 2.53852993 - samples/sec: 16.34 - lr: 0.050000 +2021-06-20 09:45:11,994 epoch 105 - iter 44/226 - loss 2.47082911 - samples/sec: 16.08 - lr: 0.050000 +2021-06-20 09:45:54,661 epoch 105 - iter 66/226 - loss 2.51853876 - samples/sec: 16.50 - lr: 0.050000 +2021-06-20 09:46:40,272 epoch 105 - iter 88/226 - loss 2.56040307 - samples/sec: 15.44 - lr: 0.050000 +2021-06-20 09:47:23,969 epoch 105 - iter 110/226 - loss 2.57601875 - samples/sec: 16.11 - lr: 0.050000 +2021-06-20 09:48:06,437 epoch 105 - iter 132/226 - loss 2.55616550 - samples/sec: 16.58 - lr: 0.050000 +2021-06-20 09:48:50,132 epoch 105 - iter 154/226 - loss 2.55031485 - samples/sec: 16.11 - lr: 0.050000 +2021-06-20 09:49:32,148 epoch 105 - iter 176/226 - loss 2.54661674 - samples/sec: 16.76 - lr: 0.050000 +2021-06-20 09:50:14,832 epoch 105 - iter 198/226 - loss 2.52605818 - samples/sec: 16.50 - lr: 0.050000 +2021-06-20 09:50:58,500 epoch 105 - iter 220/226 - loss 2.53111999 - samples/sec: 16.12 - lr: 0.050000 +2021-06-20 09:51:09,605 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:51:09,608 EPOCH 105 done: loss 2.5322 - lr 0.0500000 +2021-06-20 09:51:09,610 BAD EPOCHS (no improvement): 0 +2021-06-20 09:51:09,619 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:51:53,314 epoch 106 - iter 22/226 - loss 2.19484765 - samples/sec: 16.11 - lr: 0.050000 +2021-06-20 09:52:37,763 epoch 106 - iter 44/226 - loss 2.35471431 - samples/sec: 15.84 - lr: 0.050000 +2021-06-20 09:53:17,824 epoch 106 - iter 66/226 - loss 2.45173438 - samples/sec: 17.58 - lr: 0.050000 +2021-06-20 09:54:01,710 epoch 106 - iter 88/226 - loss 2.50217362 - samples/sec: 16.04 - lr: 0.050000 +2021-06-20 09:54:46,348 epoch 106 - iter 110/226 - loss 2.53970790 - samples/sec: 15.77 - lr: 0.050000 +2021-06-20 09:55:27,748 epoch 106 - iter 132/226 - loss 2.53737527 - samples/sec: 17.01 - lr: 0.050000 +2021-06-20 09:56:06,405 epoch 106 - iter 154/226 - loss 2.55249113 - samples/sec: 18.21 - lr: 0.050000 +2021-06-20 09:56:50,724 epoch 106 - iter 176/226 - loss 2.57854423 - samples/sec: 15.89 - lr: 0.050000 +2021-06-20 09:57:30,529 epoch 106 - iter 198/226 - loss 2.57086808 - samples/sec: 17.69 - lr: 0.050000 +2021-06-20 09:58:13,074 epoch 106 - iter 220/226 - loss 2.57829340 - samples/sec: 16.55 - lr: 0.050000 +2021-06-20 09:58:24,304 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:58:24,308 EPOCH 106 done: loss 2.5887 - lr 0.0500000 +2021-06-20 09:58:24,310 BAD EPOCHS (no improvement): 1 +2021-06-20 09:58:24,321 ---------------------------------------------------------------------------------------------------- +2021-06-20 09:59:06,529 epoch 107 - iter 22/226 - loss 2.43136383 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 09:59:49,626 epoch 107 - iter 44/226 - loss 2.45031573 - samples/sec: 16.34 - lr: 0.050000 +2021-06-20 10:00:33,912 epoch 107 - iter 66/226 - loss 2.47518576 - samples/sec: 15.90 - lr: 0.050000 +2021-06-20 10:01:15,436 epoch 107 - iter 88/226 - loss 2.46922400 - samples/sec: 16.96 - lr: 0.050000 +2021-06-20 10:01:59,079 epoch 107 - iter 110/226 - loss 2.47655378 - samples/sec: 16.13 - lr: 0.050000 +2021-06-20 10:02:40,504 epoch 107 - iter 132/226 - loss 2.49700231 - samples/sec: 17.00 - lr: 0.050000 +2021-06-20 10:03:21,118 epoch 107 - iter 154/226 - loss 2.52864238 - samples/sec: 17.34 - lr: 0.050000 +2021-06-20 10:04:03,483 epoch 107 - iter 176/226 - loss 2.52239074 - samples/sec: 16.62 - lr: 0.050000 +2021-06-20 10:04:45,741 epoch 107 - iter 198/226 - loss 2.54059023 - samples/sec: 16.66 - lr: 0.050000 +2021-06-20 10:05:27,969 epoch 107 - iter 220/226 - loss 2.53454968 - samples/sec: 16.67 - lr: 0.050000 +2021-06-20 10:05:38,882 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:05:38,885 EPOCH 107 done: loss 2.5313 - lr 0.0500000 +2021-06-20 10:05:38,887 BAD EPOCHS (no improvement): 0 +2021-06-20 10:05:38,899 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:06:20,219 epoch 108 - iter 22/226 - loss 2.26307407 - samples/sec: 17.04 - lr: 0.050000 +2021-06-20 10:07:03,948 epoch 108 - iter 44/226 - loss 2.54943727 - samples/sec: 16.10 - lr: 0.050000 +2021-06-20 10:07:44,466 epoch 108 - iter 66/226 - loss 2.44788161 - samples/sec: 17.38 - lr: 0.050000 +2021-06-20 10:08:25,635 epoch 108 - iter 88/226 - loss 2.45824361 - samples/sec: 17.10 - lr: 0.050000 +2021-06-20 10:09:06,384 epoch 108 - iter 110/226 - loss 2.44788790 - samples/sec: 17.28 - lr: 0.050000 +2021-06-20 10:09:51,354 epoch 108 - iter 132/226 - loss 2.47223059 - samples/sec: 15.66 - lr: 0.050000 +2021-06-20 10:10:35,752 epoch 108 - iter 154/226 - loss 2.47170525 - samples/sec: 15.86 - lr: 0.050000 +2021-06-20 10:11:17,131 epoch 108 - iter 176/226 - loss 2.48043431 - samples/sec: 17.02 - lr: 0.050000 +2021-06-20 10:11:59,056 epoch 108 - iter 198/226 - loss 2.47945234 - samples/sec: 16.79 - lr: 0.050000 +2021-06-20 10:12:41,553 epoch 108 - iter 220/226 - loss 2.50637250 - samples/sec: 16.57 - lr: 0.050000 +2021-06-20 10:12:51,993 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:12:51,996 EPOCH 108 done: loss 2.5013 - lr 0.0500000 +2021-06-20 10:12:51,998 BAD EPOCHS (no improvement): 0 +2021-06-20 10:12:52,011 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:13:33,122 epoch 109 - iter 22/226 - loss 2.70565446 - samples/sec: 17.13 - lr: 0.050000 +2021-06-20 10:14:19,523 epoch 109 - iter 44/226 - loss 2.59857776 - samples/sec: 15.17 - lr: 0.050000 +2021-06-20 10:15:01,880 epoch 109 - iter 66/226 - loss 2.57612377 - samples/sec: 16.62 - lr: 0.050000 +2021-06-20 10:15:43,263 epoch 109 - iter 88/226 - loss 2.56182016 - samples/sec: 17.01 - lr: 0.050000 +2021-06-20 10:16:24,473 epoch 109 - iter 110/226 - loss 2.55113224 - samples/sec: 17.09 - lr: 0.050000 +2021-06-20 10:17:06,419 epoch 109 - iter 132/226 - loss 2.53402674 - samples/sec: 16.79 - lr: 0.050000 +2021-06-20 10:17:48,210 epoch 109 - iter 154/226 - loss 2.53728919 - samples/sec: 16.85 - lr: 0.050000 +2021-06-20 10:18:28,344 epoch 109 - iter 176/226 - loss 2.51959542 - samples/sec: 17.55 - lr: 0.050000 +2021-06-20 10:19:10,103 epoch 109 - iter 198/226 - loss 2.53364121 - samples/sec: 16.86 - lr: 0.050000 +2021-06-20 10:19:53,712 epoch 109 - iter 220/226 - loss 2.52150761 - samples/sec: 16.15 - lr: 0.050000 +2021-06-20 10:20:04,553 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:20:04,556 EPOCH 109 done: loss 2.5248 - lr 0.0500000 +2021-06-20 10:20:04,561 BAD EPOCHS (no improvement): 1 +2021-06-20 10:20:04,570 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:20:48,854 epoch 110 - iter 22/226 - loss 2.38146443 - samples/sec: 15.90 - lr: 0.050000 +2021-06-20 10:21:30,247 epoch 110 - iter 44/226 - loss 2.33609758 - samples/sec: 17.01 - lr: 0.050000 +2021-06-20 10:22:13,412 epoch 110 - iter 66/226 - loss 2.40159980 - samples/sec: 16.31 - lr: 0.050000 +2021-06-20 10:22:57,151 epoch 110 - iter 88/226 - loss 2.43398215 - samples/sec: 16.10 - lr: 0.050000 +2021-06-20 10:23:36,912 epoch 110 - iter 110/226 - loss 2.40999204 - samples/sec: 17.71 - lr: 0.050000 +2021-06-20 10:24:17,985 epoch 110 - iter 132/226 - loss 2.40970036 - samples/sec: 17.14 - lr: 0.050000 +2021-06-20 10:25:01,633 epoch 110 - iter 154/226 - loss 2.43758584 - samples/sec: 16.13 - lr: 0.050000 +2021-06-20 10:25:42,040 epoch 110 - iter 176/226 - loss 2.45195379 - samples/sec: 17.42 - lr: 0.050000 +2021-06-20 10:26:24,195 epoch 110 - iter 198/226 - loss 2.47997005 - samples/sec: 16.70 - lr: 0.050000 +2021-06-20 10:27:04,632 epoch 110 - iter 220/226 - loss 2.47160916 - samples/sec: 17.41 - lr: 0.050000 +2021-06-20 10:27:18,035 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:27:18,038 EPOCH 110 done: loss 2.4791 - lr 0.0500000 +2021-06-20 10:27:18,040 BAD EPOCHS (no improvement): 0 +2021-06-20 10:27:18,057 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:28:02,873 epoch 111 - iter 22/226 - loss 2.53398252 - samples/sec: 15.71 - lr: 0.050000 +2021-06-20 10:28:42,723 epoch 111 - iter 44/226 - loss 2.52268062 - samples/sec: 17.67 - lr: 0.050000 +2021-06-20 10:29:25,996 epoch 111 - iter 66/226 - loss 2.51080523 - samples/sec: 16.27 - lr: 0.050000 +2021-06-20 10:30:11,543 epoch 111 - iter 88/226 - loss 2.53434562 - samples/sec: 15.46 - lr: 0.050000 +2021-06-20 10:30:54,144 epoch 111 - iter 110/226 - loss 2.48559334 - samples/sec: 16.53 - lr: 0.050000 +2021-06-20 10:31:36,932 epoch 111 - iter 132/226 - loss 2.50313829 - samples/sec: 16.46 - lr: 0.050000 +2021-06-20 10:32:19,508 epoch 111 - iter 154/226 - loss 2.50550435 - samples/sec: 16.54 - lr: 0.050000 +2021-06-20 10:33:01,035 epoch 111 - iter 176/226 - loss 2.53436104 - samples/sec: 16.96 - lr: 0.050000 +2021-06-20 10:33:41,905 epoch 111 - iter 198/226 - loss 2.50248123 - samples/sec: 17.23 - lr: 0.050000 +2021-06-20 10:34:22,364 epoch 111 - iter 220/226 - loss 2.49673032 - samples/sec: 17.40 - lr: 0.050000 +2021-06-20 10:34:32,846 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:34:32,852 EPOCH 111 done: loss 2.4928 - lr 0.0500000 +2021-06-20 10:34:32,855 BAD EPOCHS (no improvement): 1 +2021-06-20 10:34:32,869 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:35:16,178 epoch 112 - iter 22/226 - loss 2.65253526 - samples/sec: 16.26 - lr: 0.050000 +2021-06-20 10:36:00,326 epoch 112 - iter 44/226 - loss 2.59483565 - samples/sec: 15.95 - lr: 0.050000 +2021-06-20 10:36:42,303 epoch 112 - iter 66/226 - loss 2.55225074 - samples/sec: 16.77 - lr: 0.050000 +2021-06-20 10:37:24,609 epoch 112 - iter 88/226 - loss 2.51389654 - samples/sec: 16.64 - lr: 0.050000 +2021-06-20 10:38:06,160 epoch 112 - iter 110/226 - loss 2.49024228 - samples/sec: 16.95 - lr: 0.050000 +2021-06-20 10:38:47,152 epoch 112 - iter 132/226 - loss 2.47945275 - samples/sec: 17.18 - lr: 0.050000 +2021-06-20 10:39:30,347 epoch 112 - iter 154/226 - loss 2.44673960 - samples/sec: 16.30 - lr: 0.050000 +2021-06-20 10:40:14,152 epoch 112 - iter 176/226 - loss 2.42503387 - samples/sec: 16.07 - lr: 0.050000 +2021-06-20 10:40:56,962 epoch 112 - iter 198/226 - loss 2.41570819 - samples/sec: 16.45 - lr: 0.050000 +2021-06-20 10:41:38,945 epoch 112 - iter 220/226 - loss 2.42172045 - samples/sec: 16.77 - lr: 0.050000 +2021-06-20 10:41:50,232 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:41:50,235 EPOCH 112 done: loss 2.4160 - lr 0.0500000 +2021-06-20 10:41:50,238 BAD EPOCHS (no improvement): 0 +2021-06-20 10:41:50,245 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:42:32,582 epoch 113 - iter 22/226 - loss 2.42399270 - samples/sec: 16.63 - lr: 0.050000 +2021-06-20 10:43:13,853 epoch 113 - iter 44/226 - loss 2.49182239 - samples/sec: 17.06 - lr: 0.050000 +2021-06-20 10:43:59,031 epoch 113 - iter 66/226 - loss 2.47941236 - samples/sec: 15.58 - lr: 0.050000 +2021-06-20 10:44:43,096 epoch 113 - iter 88/226 - loss 2.48267496 - samples/sec: 15.98 - lr: 0.050000 +2021-06-20 10:45:25,980 epoch 113 - iter 110/226 - loss 2.48860255 - samples/sec: 16.42 - lr: 0.050000 +2021-06-20 10:46:08,743 epoch 113 - iter 132/226 - loss 2.48934943 - samples/sec: 16.46 - lr: 0.050000 +2021-06-20 10:46:49,587 epoch 113 - iter 154/226 - loss 2.50366746 - samples/sec: 17.24 - lr: 0.050000 +2021-06-20 10:47:32,843 epoch 113 - iter 176/226 - loss 2.48220445 - samples/sec: 16.28 - lr: 0.050000 +2021-06-20 10:48:15,346 epoch 113 - iter 198/226 - loss 2.48086452 - samples/sec: 16.57 - lr: 0.050000 +2021-06-20 10:48:57,613 epoch 113 - iter 220/226 - loss 2.48277188 - samples/sec: 16.66 - lr: 0.050000 +2021-06-20 10:49:07,952 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:49:07,955 EPOCH 113 done: loss 2.4843 - lr 0.0500000 +2021-06-20 10:49:07,958 BAD EPOCHS (no improvement): 1 +2021-06-20 10:49:07,971 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:49:50,031 epoch 114 - iter 22/226 - loss 2.31195511 - samples/sec: 16.74 - lr: 0.050000 +2021-06-20 10:50:32,565 epoch 114 - iter 44/226 - loss 2.38609720 - samples/sec: 16.55 - lr: 0.050000 +2021-06-20 10:51:17,730 epoch 114 - iter 66/226 - loss 2.45149127 - samples/sec: 15.59 - lr: 0.050000 +2021-06-20 10:52:00,279 epoch 114 - iter 88/226 - loss 2.42734412 - samples/sec: 16.55 - lr: 0.050000 +2021-06-20 10:52:41,259 epoch 114 - iter 110/226 - loss 2.39938020 - samples/sec: 17.18 - lr: 0.050000 +2021-06-20 10:53:22,163 epoch 114 - iter 132/226 - loss 2.41449698 - samples/sec: 17.21 - lr: 0.050000 +2021-06-20 10:54:02,987 epoch 114 - iter 154/226 - loss 2.39808178 - samples/sec: 17.25 - lr: 0.050000 +2021-06-20 10:54:43,951 epoch 114 - iter 176/226 - loss 2.38377508 - samples/sec: 17.19 - lr: 0.050000 +2021-06-20 10:55:28,964 epoch 114 - iter 198/226 - loss 2.41714627 - samples/sec: 15.64 - lr: 0.050000 +2021-06-20 10:56:13,760 epoch 114 - iter 220/226 - loss 2.40971194 - samples/sec: 15.72 - lr: 0.050000 +2021-06-20 10:56:25,390 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:56:25,393 EPOCH 114 done: loss 2.4176 - lr 0.0500000 +2021-06-20 10:56:25,396 BAD EPOCHS (no improvement): 2 +2021-06-20 10:56:25,408 ---------------------------------------------------------------------------------------------------- +2021-06-20 10:57:08,796 epoch 115 - iter 22/226 - loss 2.72590252 - samples/sec: 16.23 - lr: 0.050000 +2021-06-20 10:57:51,867 epoch 115 - iter 44/226 - loss 2.70904246 - samples/sec: 16.35 - lr: 0.050000 +2021-06-20 10:58:34,450 epoch 115 - iter 66/226 - loss 2.60077353 - samples/sec: 16.53 - lr: 0.050000 +2021-06-20 10:59:16,139 epoch 115 - iter 88/226 - loss 2.55663746 - samples/sec: 16.89 - lr: 0.050000 +2021-06-20 11:00:00,385 epoch 115 - iter 110/226 - loss 2.53960552 - samples/sec: 15.91 - lr: 0.050000 +2021-06-20 11:00:43,542 epoch 115 - iter 132/226 - loss 2.53599673 - samples/sec: 16.31 - lr: 0.050000 +2021-06-20 11:01:24,799 epoch 115 - iter 154/226 - loss 2.54778013 - samples/sec: 17.07 - lr: 0.050000 +2021-06-20 11:02:06,060 epoch 115 - iter 176/226 - loss 2.52153117 - samples/sec: 17.06 - lr: 0.050000 +2021-06-20 11:02:48,262 epoch 115 - iter 198/226 - loss 2.51665997 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 11:03:33,722 epoch 115 - iter 220/226 - loss 2.51423753 - samples/sec: 15.49 - lr: 0.050000 +2021-06-20 11:03:44,956 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:03:44,958 EPOCH 115 done: loss 2.5157 - lr 0.0500000 +2021-06-20 11:03:44,961 BAD EPOCHS (no improvement): 3 +2021-06-20 11:03:44,969 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:04:25,370 epoch 116 - iter 22/226 - loss 2.39946370 - samples/sec: 17.43 - lr: 0.050000 +2021-06-20 11:05:07,795 epoch 116 - iter 44/226 - loss 2.37503436 - samples/sec: 16.60 - lr: 0.050000 +2021-06-20 11:05:50,243 epoch 116 - iter 66/226 - loss 2.40047277 - samples/sec: 16.59 - lr: 0.050000 +2021-06-20 11:06:30,831 epoch 116 - iter 88/226 - loss 2.40509366 - samples/sec: 17.35 - lr: 0.050000 +2021-06-20 11:07:16,274 epoch 116 - iter 110/226 - loss 2.38365967 - samples/sec: 15.49 - lr: 0.050000 +2021-06-20 11:07:57,483 epoch 116 - iter 132/226 - loss 2.38452055 - samples/sec: 17.09 - lr: 0.050000 +2021-06-20 11:08:38,795 epoch 116 - iter 154/226 - loss 2.40587617 - samples/sec: 17.04 - lr: 0.050000 +2021-06-20 11:09:23,308 epoch 116 - iter 176/226 - loss 2.43168962 - samples/sec: 15.82 - lr: 0.050000 +2021-06-20 11:10:05,849 epoch 116 - iter 198/226 - loss 2.42699716 - samples/sec: 16.55 - lr: 0.050000 +2021-06-20 11:10:48,066 epoch 116 - iter 220/226 - loss 2.42987588 - samples/sec: 16.68 - lr: 0.050000 +2021-06-20 11:10:59,923 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:10:59,926 EPOCH 116 done: loss 2.4156 - lr 0.0500000 +2021-06-20 11:10:59,929 BAD EPOCHS (no improvement): 0 +2021-06-20 11:10:59,939 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:11:40,803 epoch 117 - iter 22/226 - loss 2.15527396 - samples/sec: 17.23 - lr: 0.050000 +2021-06-20 11:12:22,089 epoch 117 - iter 44/226 - loss 2.27231245 - samples/sec: 17.05 - lr: 0.050000 +2021-06-20 11:13:05,628 epoch 117 - iter 66/226 - loss 2.40925650 - samples/sec: 16.17 - lr: 0.050000 +2021-06-20 11:13:48,811 epoch 117 - iter 88/226 - loss 2.41051770 - samples/sec: 16.30 - lr: 0.050000 +2021-06-20 11:14:28,237 epoch 117 - iter 110/226 - loss 2.43001448 - samples/sec: 17.86 - lr: 0.050000 +2021-06-20 11:15:11,062 epoch 117 - iter 132/226 - loss 2.45636501 - samples/sec: 16.44 - lr: 0.050000 +2021-06-20 11:15:54,617 epoch 117 - iter 154/226 - loss 2.45356479 - samples/sec: 16.17 - lr: 0.050000 +2021-06-20 11:16:36,880 epoch 117 - iter 176/226 - loss 2.45951485 - samples/sec: 16.66 - lr: 0.050000 +2021-06-20 11:17:19,648 epoch 117 - iter 198/226 - loss 2.46590088 - samples/sec: 16.46 - lr: 0.050000 +2021-06-20 11:18:03,998 epoch 117 - iter 220/226 - loss 2.45636755 - samples/sec: 15.88 - lr: 0.050000 +2021-06-20 11:18:14,526 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:18:14,528 EPOCH 117 done: loss 2.4731 - lr 0.0500000 +2021-06-20 11:18:14,535 BAD EPOCHS (no improvement): 1 +2021-06-20 11:18:14,547 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:18:54,253 epoch 118 - iter 22/226 - loss 2.26580761 - samples/sec: 17.74 - lr: 0.050000 +2021-06-20 11:19:36,675 epoch 118 - iter 44/226 - loss 2.29173196 - samples/sec: 16.60 - lr: 0.050000 +2021-06-20 11:20:19,102 epoch 118 - iter 66/226 - loss 2.28585500 - samples/sec: 16.60 - lr: 0.050000 +2021-06-20 11:21:03,288 epoch 118 - iter 88/226 - loss 2.31593288 - samples/sec: 15.93 - lr: 0.050000 +2021-06-20 11:21:45,663 epoch 118 - iter 110/226 - loss 2.31895437 - samples/sec: 16.62 - lr: 0.050000 +2021-06-20 11:22:27,854 epoch 118 - iter 132/226 - loss 2.33686234 - samples/sec: 16.69 - lr: 0.050000 +2021-06-20 11:23:13,008 epoch 118 - iter 154/226 - loss 2.34230075 - samples/sec: 15.59 - lr: 0.050000 +2021-06-20 11:23:55,511 epoch 118 - iter 176/226 - loss 2.33533921 - samples/sec: 16.57 - lr: 0.050000 +2021-06-20 11:24:38,763 epoch 118 - iter 198/226 - loss 2.34806776 - samples/sec: 16.28 - lr: 0.050000 +2021-06-20 11:25:23,616 epoch 118 - iter 220/226 - loss 2.36087178 - samples/sec: 15.70 - lr: 0.050000 +2021-06-20 11:25:34,709 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:25:34,712 EPOCH 118 done: loss 2.3693 - lr 0.0500000 +2021-06-20 11:25:34,715 BAD EPOCHS (no improvement): 0 +2021-06-20 11:25:34,727 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:26:19,520 epoch 119 - iter 22/226 - loss 2.34555325 - samples/sec: 15.72 - lr: 0.050000 +2021-06-20 11:27:03,933 epoch 119 - iter 44/226 - loss 2.41752928 - samples/sec: 15.85 - lr: 0.050000 +2021-06-20 11:27:45,557 epoch 119 - iter 66/226 - loss 2.36180069 - samples/sec: 16.92 - lr: 0.050000 +2021-06-20 11:28:27,432 epoch 119 - iter 88/226 - loss 2.36191326 - samples/sec: 16.81 - lr: 0.050000 +2021-06-20 11:29:09,203 epoch 119 - iter 110/226 - loss 2.35362456 - samples/sec: 16.86 - lr: 0.050000 +2021-06-20 11:29:52,465 epoch 119 - iter 132/226 - loss 2.36874545 - samples/sec: 16.27 - lr: 0.050000 +2021-06-20 11:30:32,508 epoch 119 - iter 154/226 - loss 2.35370228 - samples/sec: 17.58 - lr: 0.050000 +2021-06-20 11:31:15,422 epoch 119 - iter 176/226 - loss 2.34974925 - samples/sec: 16.41 - lr: 0.050000 +2021-06-20 11:31:56,543 epoch 119 - iter 198/226 - loss 2.35509465 - samples/sec: 17.12 - lr: 0.050000 +2021-06-20 11:32:39,502 epoch 119 - iter 220/226 - loss 2.34979030 - samples/sec: 16.39 - lr: 0.050000 +2021-06-20 11:32:51,145 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:32:51,150 EPOCH 119 done: loss 2.3550 - lr 0.0500000 +2021-06-20 11:32:51,153 BAD EPOCHS (no improvement): 0 +2021-06-20 11:32:51,160 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:33:35,962 epoch 120 - iter 22/226 - loss 2.41573711 - samples/sec: 15.72 - lr: 0.050000 +2021-06-20 11:34:19,425 epoch 120 - iter 44/226 - loss 2.38672724 - samples/sec: 16.20 - lr: 0.050000 +2021-06-20 11:35:01,649 epoch 120 - iter 66/226 - loss 2.36981365 - samples/sec: 16.67 - lr: 0.050000 +2021-06-20 11:35:46,066 epoch 120 - iter 88/226 - loss 2.36381601 - samples/sec: 15.85 - lr: 0.050000 +2021-06-20 11:36:27,247 epoch 120 - iter 110/226 - loss 2.38266972 - samples/sec: 17.10 - lr: 0.050000 +2021-06-20 11:37:11,071 epoch 120 - iter 132/226 - loss 2.38490836 - samples/sec: 16.07 - lr: 0.050000 +2021-06-20 11:37:51,714 epoch 120 - iter 154/226 - loss 2.38468614 - samples/sec: 17.32 - lr: 0.050000 +2021-06-20 11:38:31,488 epoch 120 - iter 176/226 - loss 2.38019582 - samples/sec: 17.70 - lr: 0.050000 +2021-06-20 11:39:14,227 epoch 120 - iter 198/226 - loss 2.39132887 - samples/sec: 16.47 - lr: 0.050000 +2021-06-20 11:39:56,013 epoch 120 - iter 220/226 - loss 2.38795538 - samples/sec: 16.85 - lr: 0.050000 +2021-06-20 11:40:06,974 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:40:06,979 EPOCH 120 done: loss 2.3810 - lr 0.0500000 +2021-06-20 11:40:06,984 BAD EPOCHS (no improvement): 1 +2021-06-20 11:40:06,998 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:40:50,447 epoch 121 - iter 22/226 - loss 2.19040226 - samples/sec: 16.21 - lr: 0.050000 +2021-06-20 11:41:36,049 epoch 121 - iter 44/226 - loss 2.27931630 - samples/sec: 15.44 - lr: 0.050000 +2021-06-20 11:42:20,079 epoch 121 - iter 66/226 - loss 2.34934644 - samples/sec: 15.99 - lr: 0.050000 +2021-06-20 11:43:03,499 epoch 121 - iter 88/226 - loss 2.39463155 - samples/sec: 16.22 - lr: 0.050000 +2021-06-20 11:43:45,438 epoch 121 - iter 110/226 - loss 2.38189598 - samples/sec: 16.79 - lr: 0.050000 +2021-06-20 11:44:30,185 epoch 121 - iter 132/226 - loss 2.37116517 - samples/sec: 15.73 - lr: 0.050000 +2021-06-20 11:45:12,910 epoch 121 - iter 154/226 - loss 2.37245621 - samples/sec: 16.48 - lr: 0.050000 +2021-06-20 11:45:52,234 epoch 121 - iter 176/226 - loss 2.37316871 - samples/sec: 17.90 - lr: 0.050000 +2021-06-20 11:46:34,384 epoch 121 - iter 198/226 - loss 2.38790941 - samples/sec: 16.71 - lr: 0.050000 +2021-06-20 11:47:18,932 epoch 121 - iter 220/226 - loss 2.40372641 - samples/sec: 15.81 - lr: 0.050000 +2021-06-20 11:47:29,307 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:47:29,310 EPOCH 121 done: loss 2.4013 - lr 0.0500000 +2021-06-20 11:47:29,315 BAD EPOCHS (no improvement): 2 +2021-06-20 11:47:29,323 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:48:13,101 epoch 122 - iter 22/226 - loss 2.57781792 - samples/sec: 16.09 - lr: 0.050000 +2021-06-20 11:48:53,498 epoch 122 - iter 44/226 - loss 2.47781548 - samples/sec: 17.43 - lr: 0.050000 +2021-06-20 11:49:36,294 epoch 122 - iter 66/226 - loss 2.45361935 - samples/sec: 16.45 - lr: 0.050000 +2021-06-20 11:50:18,092 epoch 122 - iter 88/226 - loss 2.39709972 - samples/sec: 16.85 - lr: 0.050000 +2021-06-20 11:51:02,078 epoch 122 - iter 110/226 - loss 2.37849623 - samples/sec: 16.01 - lr: 0.050000 +2021-06-20 11:51:47,344 epoch 122 - iter 132/226 - loss 2.40317214 - samples/sec: 15.55 - lr: 0.050000 +2021-06-20 11:52:33,467 epoch 122 - iter 154/226 - loss 2.41456345 - samples/sec: 15.27 - lr: 0.050000 +2021-06-20 11:53:15,635 epoch 122 - iter 176/226 - loss 2.40479555 - samples/sec: 16.70 - lr: 0.050000 +2021-06-20 11:53:59,050 epoch 122 - iter 198/226 - loss 2.39580292 - samples/sec: 16.22 - lr: 0.050000 +2021-06-20 11:54:43,010 epoch 122 - iter 220/226 - loss 2.38745246 - samples/sec: 16.02 - lr: 0.050000 +2021-06-20 11:54:53,003 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:54:53,006 EPOCH 122 done: loss 2.3823 - lr 0.0500000 +2021-06-20 11:54:53,008 BAD EPOCHS (no improvement): 3 +2021-06-20 11:54:53,018 ---------------------------------------------------------------------------------------------------- +2021-06-20 11:55:36,195 epoch 123 - iter 22/226 - loss 2.42899588 - samples/sec: 16.31 - lr: 0.050000 +2021-06-20 11:56:20,692 epoch 123 - iter 44/226 - loss 2.43295651 - samples/sec: 15.82 - lr: 0.050000 +2021-06-20 11:57:00,395 epoch 123 - iter 66/226 - loss 2.38495833 - samples/sec: 17.74 - lr: 0.050000 +2021-06-20 11:57:43,119 epoch 123 - iter 88/226 - loss 2.42557446 - samples/sec: 16.48 - lr: 0.050000 +2021-06-20 11:58:26,331 epoch 123 - iter 110/226 - loss 2.39522424 - samples/sec: 16.29 - lr: 0.050000 +2021-06-20 11:59:11,006 epoch 123 - iter 132/226 - loss 2.35710636 - samples/sec: 15.76 - lr: 0.050000 +2021-06-20 11:59:52,968 epoch 123 - iter 154/226 - loss 2.34157634 - samples/sec: 16.78 - lr: 0.050000 +2021-06-20 12:00:36,762 epoch 123 - iter 176/226 - loss 2.35042770 - samples/sec: 16.08 - lr: 0.050000 +2021-06-20 12:01:18,832 epoch 123 - iter 198/226 - loss 2.33924544 - samples/sec: 16.74 - lr: 0.050000 +2021-06-20 12:02:01,987 epoch 123 - iter 220/226 - loss 2.34606923 - samples/sec: 16.32 - lr: 0.050000 +2021-06-20 12:02:13,678 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:02:13,681 EPOCH 123 done: loss 2.3564 - lr 0.0500000 +2021-06-20 12:02:13,684 BAD EPOCHS (no improvement): 4 +2021-06-20 12:02:13,699 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:02:56,467 epoch 124 - iter 22/226 - loss 2.38590505 - samples/sec: 16.46 - lr: 0.025000 +2021-06-20 12:03:40,104 epoch 124 - iter 44/226 - loss 2.36915826 - samples/sec: 16.14 - lr: 0.025000 +2021-06-20 12:04:26,199 epoch 124 - iter 66/226 - loss 2.33024785 - samples/sec: 15.27 - lr: 0.025000 +2021-06-20 12:05:08,179 epoch 124 - iter 88/226 - loss 2.30451782 - samples/sec: 16.77 - lr: 0.025000 +2021-06-20 12:05:48,720 epoch 124 - iter 110/226 - loss 2.32423645 - samples/sec: 17.37 - lr: 0.025000 +2021-06-20 12:06:32,419 epoch 124 - iter 132/226 - loss 2.33508730 - samples/sec: 16.11 - lr: 0.025000 +2021-06-20 12:07:14,333 epoch 124 - iter 154/226 - loss 2.33774628 - samples/sec: 16.80 - lr: 0.025000 +2021-06-20 12:07:56,863 epoch 124 - iter 176/226 - loss 2.34602473 - samples/sec: 16.56 - lr: 0.025000 +2021-06-20 12:08:38,140 epoch 124 - iter 198/226 - loss 2.35897675 - samples/sec: 17.06 - lr: 0.025000 +2021-06-20 12:09:21,566 epoch 124 - iter 220/226 - loss 2.35263446 - samples/sec: 16.21 - lr: 0.025000 +2021-06-20 12:09:33,543 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:09:33,546 EPOCH 124 done: loss 2.3515 - lr 0.0250000 +2021-06-20 12:09:33,548 BAD EPOCHS (no improvement): 0 +2021-06-20 12:09:33,564 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:10:16,801 epoch 125 - iter 22/226 - loss 2.27171704 - samples/sec: 16.29 - lr: 0.025000 +2021-06-20 12:10:57,405 epoch 125 - iter 44/226 - loss 2.22661566 - samples/sec: 17.34 - lr: 0.025000 +2021-06-20 12:11:42,331 epoch 125 - iter 66/226 - loss 2.23321478 - samples/sec: 15.67 - lr: 0.025000 +2021-06-20 12:12:24,507 epoch 125 - iter 88/226 - loss 2.25910769 - samples/sec: 16.69 - lr: 0.025000 +2021-06-20 12:13:07,993 epoch 125 - iter 110/226 - loss 2.22985190 - samples/sec: 16.19 - lr: 0.025000 +2021-06-20 12:13:51,388 epoch 125 - iter 132/226 - loss 2.26298566 - samples/sec: 16.23 - lr: 0.025000 +2021-06-20 12:14:34,545 epoch 125 - iter 154/226 - loss 2.25843367 - samples/sec: 16.31 - lr: 0.025000 +2021-06-20 12:15:18,796 epoch 125 - iter 176/226 - loss 2.26944394 - samples/sec: 15.91 - lr: 0.025000 +2021-06-20 12:16:02,461 epoch 125 - iter 198/226 - loss 2.25713542 - samples/sec: 16.12 - lr: 0.025000 +2021-06-20 12:16:43,380 epoch 125 - iter 220/226 - loss 2.25134262 - samples/sec: 17.21 - lr: 0.025000 +2021-06-20 12:16:55,292 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:16:55,294 EPOCH 125 done: loss 2.2621 - lr 0.0250000 +2021-06-20 12:16:55,297 BAD EPOCHS (no improvement): 0 +2021-06-20 12:16:55,311 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:17:36,488 epoch 126 - iter 22/226 - loss 2.12745261 - samples/sec: 17.10 - lr: 0.025000 +2021-06-20 12:18:17,585 epoch 126 - iter 44/226 - loss 2.21867594 - samples/sec: 17.13 - lr: 0.025000 +2021-06-20 12:19:02,769 epoch 126 - iter 66/226 - loss 2.21208153 - samples/sec: 15.58 - lr: 0.025000 +2021-06-20 12:19:47,473 epoch 126 - iter 88/226 - loss 2.23284734 - samples/sec: 15.75 - lr: 0.025000 +2021-06-20 12:20:31,643 epoch 126 - iter 110/226 - loss 2.24130239 - samples/sec: 15.94 - lr: 0.025000 +2021-06-20 12:21:15,155 epoch 126 - iter 132/226 - loss 2.25763895 - samples/sec: 16.18 - lr: 0.025000 +2021-06-20 12:21:57,137 epoch 126 - iter 154/226 - loss 2.25110737 - samples/sec: 16.77 - lr: 0.025000 +2021-06-20 12:22:40,892 epoch 126 - iter 176/226 - loss 2.26326230 - samples/sec: 16.09 - lr: 0.025000 +2021-06-20 12:23:23,874 epoch 126 - iter 198/226 - loss 2.25447031 - samples/sec: 16.38 - lr: 0.025000 +2021-06-20 12:24:09,337 epoch 126 - iter 220/226 - loss 2.27956514 - samples/sec: 15.49 - lr: 0.025000 +2021-06-20 12:24:18,776 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:24:18,779 EPOCH 126 done: loss 2.2854 - lr 0.0250000 +2021-06-20 12:24:18,782 BAD EPOCHS (no improvement): 1 +2021-06-20 12:24:18,794 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:25:01,258 epoch 127 - iter 22/226 - loss 2.13465066 - samples/sec: 16.58 - lr: 0.025000 +2021-06-20 12:25:42,684 epoch 127 - iter 44/226 - loss 2.14811994 - samples/sec: 17.00 - lr: 0.025000 +2021-06-20 12:26:27,232 epoch 127 - iter 66/226 - loss 2.21404760 - samples/sec: 15.81 - lr: 0.025000 +2021-06-20 12:27:09,369 epoch 127 - iter 88/226 - loss 2.20022447 - samples/sec: 16.71 - lr: 0.025000 +2021-06-20 12:27:51,620 epoch 127 - iter 110/226 - loss 2.20954142 - samples/sec: 16.66 - lr: 0.025000 +2021-06-20 12:28:35,588 epoch 127 - iter 132/226 - loss 2.25462646 - samples/sec: 16.01 - lr: 0.025000 +2021-06-20 12:29:18,192 epoch 127 - iter 154/226 - loss 2.26974974 - samples/sec: 16.53 - lr: 0.025000 +2021-06-20 12:30:03,084 epoch 127 - iter 176/226 - loss 2.25118288 - samples/sec: 15.68 - lr: 0.025000 +2021-06-20 12:30:45,698 epoch 127 - iter 198/226 - loss 2.24713935 - samples/sec: 16.52 - lr: 0.025000 +2021-06-20 12:31:28,877 epoch 127 - iter 220/226 - loss 2.25903171 - samples/sec: 16.31 - lr: 0.025000 +2021-06-20 12:31:40,300 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:31:40,303 EPOCH 127 done: loss 2.2687 - lr 0.0250000 +2021-06-20 12:31:40,306 BAD EPOCHS (no improvement): 2 +2021-06-20 12:31:40,319 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:32:23,622 epoch 128 - iter 22/226 - loss 2.26953616 - samples/sec: 16.26 - lr: 0.025000 +2021-06-20 12:33:08,249 epoch 128 - iter 44/226 - loss 2.30980149 - samples/sec: 15.78 - lr: 0.025000 +2021-06-20 12:33:51,228 epoch 128 - iter 66/226 - loss 2.21211625 - samples/sec: 16.38 - lr: 0.025000 +2021-06-20 12:34:32,146 epoch 128 - iter 88/226 - loss 2.22773338 - samples/sec: 17.21 - lr: 0.025000 +2021-06-20 12:35:15,898 epoch 128 - iter 110/226 - loss 2.22218644 - samples/sec: 16.09 - lr: 0.025000 +2021-06-20 12:35:55,374 epoch 128 - iter 132/226 - loss 2.20464906 - samples/sec: 17.84 - lr: 0.025000 +2021-06-20 12:36:43,289 epoch 128 - iter 154/226 - loss 2.24208643 - samples/sec: 14.69 - lr: 0.025000 +2021-06-20 12:37:24,860 epoch 128 - iter 176/226 - loss 2.26838774 - samples/sec: 16.94 - lr: 0.025000 +2021-06-20 12:38:07,902 epoch 128 - iter 198/226 - loss 2.25814137 - samples/sec: 16.36 - lr: 0.025000 +2021-06-20 12:38:53,315 epoch 128 - iter 220/226 - loss 2.27096072 - samples/sec: 15.50 - lr: 0.025000 +2021-06-20 12:39:05,470 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:39:05,473 EPOCH 128 done: loss 2.2558 - lr 0.0250000 +2021-06-20 12:39:05,475 BAD EPOCHS (no improvement): 0 +2021-06-20 12:39:05,482 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:39:50,944 epoch 129 - iter 22/226 - loss 2.38640573 - samples/sec: 15.49 - lr: 0.025000 +2021-06-20 12:40:32,057 epoch 129 - iter 44/226 - loss 2.30273287 - samples/sec: 17.13 - lr: 0.025000 +2021-06-20 12:41:13,497 epoch 129 - iter 66/226 - loss 2.34070474 - samples/sec: 16.99 - lr: 0.025000 +2021-06-20 12:41:58,556 epoch 129 - iter 88/226 - loss 2.33894395 - samples/sec: 15.63 - lr: 0.025000 +2021-06-20 12:42:38,198 epoch 129 - iter 110/226 - loss 2.29815732 - samples/sec: 17.76 - lr: 0.025000 +2021-06-20 12:43:21,724 epoch 129 - iter 132/226 - loss 2.27570539 - samples/sec: 16.18 - lr: 0.025000 +2021-06-20 12:44:05,705 epoch 129 - iter 154/226 - loss 2.26195522 - samples/sec: 16.01 - lr: 0.025000 +2021-06-20 12:44:49,078 epoch 129 - iter 176/226 - loss 2.26043177 - samples/sec: 16.23 - lr: 0.025000 +2021-06-20 12:45:35,486 epoch 129 - iter 198/226 - loss 2.26231162 - samples/sec: 15.17 - lr: 0.025000 +2021-06-20 12:46:17,509 epoch 129 - iter 220/226 - loss 2.26598741 - samples/sec: 16.76 - lr: 0.025000 +2021-06-20 12:46:27,688 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:46:27,690 EPOCH 129 done: loss 2.2603 - lr 0.0250000 +2021-06-20 12:46:27,697 BAD EPOCHS (no improvement): 1 +2021-06-20 12:46:27,708 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:47:10,302 epoch 130 - iter 22/226 - loss 2.22407031 - samples/sec: 16.53 - lr: 0.025000 +2021-06-20 12:47:50,095 epoch 130 - iter 44/226 - loss 2.15334698 - samples/sec: 17.69 - lr: 0.025000 +2021-06-20 12:48:32,309 epoch 130 - iter 66/226 - loss 2.22594338 - samples/sec: 16.68 - lr: 0.025000 +2021-06-20 12:49:15,478 epoch 130 - iter 88/226 - loss 2.19966559 - samples/sec: 16.31 - lr: 0.025000 +2021-06-20 12:49:59,654 epoch 130 - iter 110/226 - loss 2.21527281 - samples/sec: 15.94 - lr: 0.025000 +2021-06-20 12:50:44,666 epoch 130 - iter 132/226 - loss 2.19623429 - samples/sec: 15.64 - lr: 0.025000 +2021-06-20 12:51:25,761 epoch 130 - iter 154/226 - loss 2.20246956 - samples/sec: 17.13 - lr: 0.025000 +2021-06-20 12:52:08,699 epoch 130 - iter 176/226 - loss 2.21535366 - samples/sec: 16.40 - lr: 0.025000 +2021-06-20 12:52:52,118 epoch 130 - iter 198/226 - loss 2.22178983 - samples/sec: 16.22 - lr: 0.025000 +2021-06-20 12:53:34,192 epoch 130 - iter 220/226 - loss 2.21245166 - samples/sec: 16.73 - lr: 0.025000 +2021-06-20 12:53:48,431 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:53:48,434 EPOCH 130 done: loss 2.2163 - lr 0.0250000 +2021-06-20 12:53:48,439 BAD EPOCHS (no improvement): 0 +2021-06-20 12:53:48,447 ---------------------------------------------------------------------------------------------------- +2021-06-20 12:54:33,216 epoch 131 - iter 22/226 - loss 2.22668716 - samples/sec: 15.73 - lr: 0.025000 +2021-06-20 12:55:14,899 epoch 131 - iter 44/226 - loss 2.24838800 - samples/sec: 16.89 - lr: 0.025000 +2021-06-20 12:55:58,566 epoch 131 - iter 66/226 - loss 2.20229480 - samples/sec: 16.12 - lr: 0.025000 +2021-06-20 12:56:44,707 epoch 131 - iter 88/226 - loss 2.23715975 - samples/sec: 15.26 - lr: 0.025000 +2021-06-20 12:57:28,014 epoch 131 - iter 110/226 - loss 2.23437574 - samples/sec: 16.26 - lr: 0.025000 +2021-06-20 12:58:10,697 epoch 131 - iter 132/226 - loss 2.24911650 - samples/sec: 16.50 - lr: 0.025000 +2021-06-20 12:58:52,518 epoch 131 - iter 154/226 - loss 2.23753885 - samples/sec: 16.84 - lr: 0.025000 +2021-06-20 12:59:35,658 epoch 131 - iter 176/226 - loss 2.22622884 - samples/sec: 16.32 - lr: 0.025000 +2021-06-20 13:00:15,661 epoch 131 - iter 198/226 - loss 2.24404433 - samples/sec: 17.60 - lr: 0.025000 +2021-06-20 13:01:01,497 epoch 131 - iter 220/226 - loss 2.22524265 - samples/sec: 15.36 - lr: 0.025000 +2021-06-20 13:01:13,908 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:01:13,910 EPOCH 131 done: loss 2.2240 - lr 0.0250000 +2021-06-20 13:01:13,913 BAD EPOCHS (no improvement): 1 +2021-06-20 13:01:13,922 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:01:56,097 epoch 132 - iter 22/226 - loss 2.20078479 - samples/sec: 16.70 - lr: 0.025000 +2021-06-20 13:02:40,847 epoch 132 - iter 44/226 - loss 2.26066384 - samples/sec: 15.73 - lr: 0.025000 +2021-06-20 13:03:24,826 epoch 132 - iter 66/226 - loss 2.26024212 - samples/sec: 16.01 - lr: 0.025000 +2021-06-20 13:04:07,642 epoch 132 - iter 88/226 - loss 2.25694836 - samples/sec: 16.44 - lr: 0.025000 +2021-06-20 13:04:50,574 epoch 132 - iter 110/226 - loss 2.24661946 - samples/sec: 16.40 - lr: 0.025000 +2021-06-20 13:05:33,682 epoch 132 - iter 132/226 - loss 2.25258231 - samples/sec: 16.33 - lr: 0.025000 +2021-06-20 13:06:15,363 epoch 132 - iter 154/226 - loss 2.20266938 - samples/sec: 16.89 - lr: 0.025000 +2021-06-20 13:06:58,686 epoch 132 - iter 176/226 - loss 2.20210144 - samples/sec: 16.25 - lr: 0.025000 +2021-06-20 13:07:38,736 epoch 132 - iter 198/226 - loss 2.17908200 - samples/sec: 17.58 - lr: 0.025000 +2021-06-20 13:08:24,576 epoch 132 - iter 220/226 - loss 2.18500801 - samples/sec: 15.36 - lr: 0.025000 +2021-06-20 13:08:36,041 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:08:36,044 EPOCH 132 done: loss 2.1866 - lr 0.0250000 +2021-06-20 13:08:36,046 BAD EPOCHS (no improvement): 0 +2021-06-20 13:08:36,055 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:09:18,827 epoch 133 - iter 22/226 - loss 2.31608794 - samples/sec: 16.46 - lr: 0.025000 +2021-06-20 13:10:02,984 epoch 133 - iter 44/226 - loss 2.33746198 - samples/sec: 15.95 - lr: 0.025000 +2021-06-20 13:10:44,581 epoch 133 - iter 66/226 - loss 2.18234411 - samples/sec: 16.93 - lr: 0.025000 +2021-06-20 13:11:25,911 epoch 133 - iter 88/226 - loss 2.20835562 - samples/sec: 17.04 - lr: 0.025000 +2021-06-20 13:12:08,275 epoch 133 - iter 110/226 - loss 2.18576971 - samples/sec: 16.62 - lr: 0.025000 +2021-06-20 13:12:52,878 epoch 133 - iter 132/226 - loss 2.17620205 - samples/sec: 15.79 - lr: 0.025000 +2021-06-20 13:13:35,607 epoch 133 - iter 154/226 - loss 2.17806622 - samples/sec: 16.48 - lr: 0.025000 +2021-06-20 13:14:16,901 epoch 133 - iter 176/226 - loss 2.18033881 - samples/sec: 17.05 - lr: 0.025000 +2021-06-20 13:15:00,513 epoch 133 - iter 198/226 - loss 2.19249738 - samples/sec: 16.15 - lr: 0.025000 +2021-06-20 13:15:44,583 epoch 133 - iter 220/226 - loss 2.20147500 - samples/sec: 15.98 - lr: 0.025000 +2021-06-20 13:15:56,887 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:15:56,889 EPOCH 133 done: loss 2.2003 - lr 0.0250000 +2021-06-20 13:15:56,895 BAD EPOCHS (no improvement): 1 +2021-06-20 13:15:56,907 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:16:37,342 epoch 134 - iter 22/226 - loss 2.11242497 - samples/sec: 17.41 - lr: 0.025000 +2021-06-20 13:17:20,710 epoch 134 - iter 44/226 - loss 2.09026433 - samples/sec: 16.24 - lr: 0.025000 +2021-06-20 13:18:03,890 epoch 134 - iter 66/226 - loss 2.12358560 - samples/sec: 16.31 - lr: 0.025000 +2021-06-20 13:18:47,413 epoch 134 - iter 88/226 - loss 2.14780176 - samples/sec: 16.18 - lr: 0.025000 +2021-06-20 13:19:28,093 epoch 134 - iter 110/226 - loss 2.09827614 - samples/sec: 17.31 - lr: 0.025000 +2021-06-20 13:20:11,359 epoch 134 - iter 132/226 - loss 2.14200098 - samples/sec: 16.27 - lr: 0.025000 +2021-06-20 13:20:55,043 epoch 134 - iter 154/226 - loss 2.14346449 - samples/sec: 16.12 - lr: 0.025000 +2021-06-20 13:21:39,164 epoch 134 - iter 176/226 - loss 2.15671083 - samples/sec: 15.96 - lr: 0.025000 +2021-06-20 13:22:21,605 epoch 134 - iter 198/226 - loss 2.16647380 - samples/sec: 16.59 - lr: 0.025000 +2021-06-20 13:23:04,271 epoch 134 - iter 220/226 - loss 2.16066557 - samples/sec: 16.50 - lr: 0.025000 +2021-06-20 13:23:14,909 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:23:14,912 EPOCH 134 done: loss 2.1571 - lr 0.0250000 +2021-06-20 13:23:14,916 BAD EPOCHS (no improvement): 0 +2021-06-20 13:23:14,932 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:23:56,522 epoch 135 - iter 22/226 - loss 2.02976394 - samples/sec: 16.93 - lr: 0.025000 +2021-06-20 13:24:39,493 epoch 135 - iter 44/226 - loss 2.08521961 - samples/sec: 16.39 - lr: 0.025000 +2021-06-20 13:25:20,830 epoch 135 - iter 66/226 - loss 2.07535586 - samples/sec: 17.03 - lr: 0.025000 +2021-06-20 13:26:03,419 epoch 135 - iter 88/226 - loss 2.08849847 - samples/sec: 16.53 - lr: 0.025000 +2021-06-20 13:26:49,617 epoch 135 - iter 110/226 - loss 2.11721296 - samples/sec: 15.24 - lr: 0.025000 +2021-06-20 13:27:33,962 epoch 135 - iter 132/226 - loss 2.14197382 - samples/sec: 15.88 - lr: 0.025000 +2021-06-20 13:28:18,563 epoch 135 - iter 154/226 - loss 2.17118673 - samples/sec: 15.79 - lr: 0.025000 +2021-06-20 13:29:00,947 epoch 135 - iter 176/226 - loss 2.17682049 - samples/sec: 16.61 - lr: 0.025000 +2021-06-20 13:29:44,733 epoch 135 - iter 198/226 - loss 2.19242541 - samples/sec: 16.08 - lr: 0.025000 +2021-06-20 13:30:25,370 epoch 135 - iter 220/226 - loss 2.20118373 - samples/sec: 17.33 - lr: 0.025000 +2021-06-20 13:30:36,309 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:30:36,312 EPOCH 135 done: loss 2.2122 - lr 0.0250000 +2021-06-20 13:30:36,315 BAD EPOCHS (no improvement): 1 +2021-06-20 13:30:36,328 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:31:17,858 epoch 136 - iter 22/226 - loss 2.24003340 - samples/sec: 16.95 - lr: 0.025000 +2021-06-20 13:32:04,233 epoch 136 - iter 44/226 - loss 2.26875255 - samples/sec: 15.18 - lr: 0.025000 +2021-06-20 13:32:47,027 epoch 136 - iter 66/226 - loss 2.23649503 - samples/sec: 16.45 - lr: 0.025000 +2021-06-20 13:33:27,890 epoch 136 - iter 88/226 - loss 2.19308800 - samples/sec: 17.23 - lr: 0.025000 +2021-06-20 13:34:10,587 epoch 136 - iter 110/226 - loss 2.19165007 - samples/sec: 16.49 - lr: 0.025000 +2021-06-20 13:34:51,118 epoch 136 - iter 132/226 - loss 2.18967759 - samples/sec: 17.37 - lr: 0.025000 +2021-06-20 13:35:32,003 epoch 136 - iter 154/226 - loss 2.16896146 - samples/sec: 17.22 - lr: 0.025000 +2021-06-20 13:36:15,919 epoch 136 - iter 176/226 - loss 2.15242211 - samples/sec: 16.03 - lr: 0.025000 +2021-06-20 13:36:59,688 epoch 136 - iter 198/226 - loss 2.17904814 - samples/sec: 16.09 - lr: 0.025000 +2021-06-20 13:37:45,138 epoch 136 - iter 220/226 - loss 2.17888810 - samples/sec: 15.49 - lr: 0.025000 +2021-06-20 13:37:55,817 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:37:55,820 EPOCH 136 done: loss 2.1830 - lr 0.0250000 +2021-06-20 13:37:55,822 BAD EPOCHS (no improvement): 2 +2021-06-20 13:37:55,835 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:38:36,105 epoch 137 - iter 22/226 - loss 2.13914304 - samples/sec: 17.48 - lr: 0.025000 +2021-06-20 13:39:16,273 epoch 137 - iter 44/226 - loss 2.09785819 - samples/sec: 17.53 - lr: 0.025000 +2021-06-20 13:40:00,761 epoch 137 - iter 66/226 - loss 2.14257366 - samples/sec: 15.83 - lr: 0.025000 +2021-06-20 13:40:44,755 epoch 137 - iter 88/226 - loss 2.13407298 - samples/sec: 16.00 - lr: 0.025000 +2021-06-20 13:41:28,895 epoch 137 - iter 110/226 - loss 2.11185062 - samples/sec: 15.95 - lr: 0.025000 +2021-06-20 13:42:12,493 epoch 137 - iter 132/226 - loss 2.12987655 - samples/sec: 16.15 - lr: 0.025000 +2021-06-20 13:42:54,019 epoch 137 - iter 154/226 - loss 2.13673026 - samples/sec: 16.96 - lr: 0.025000 +2021-06-20 13:43:32,381 epoch 137 - iter 176/226 - loss 2.13133812 - samples/sec: 18.35 - lr: 0.025000 +2021-06-20 13:44:16,869 epoch 137 - iter 198/226 - loss 2.13827070 - samples/sec: 15.83 - lr: 0.025000 +2021-06-20 13:44:57,259 epoch 137 - iter 220/226 - loss 2.15968089 - samples/sec: 17.43 - lr: 0.025000 +2021-06-20 13:45:07,473 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:45:07,476 EPOCH 137 done: loss 2.1681 - lr 0.0250000 +2021-06-20 13:45:07,479 BAD EPOCHS (no improvement): 3 +2021-06-20 13:45:07,491 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:45:51,723 epoch 138 - iter 22/226 - loss 2.19399570 - samples/sec: 15.92 - lr: 0.025000 +2021-06-20 13:46:32,954 epoch 138 - iter 44/226 - loss 2.09580182 - samples/sec: 17.08 - lr: 0.025000 +2021-06-20 13:47:15,620 epoch 138 - iter 66/226 - loss 2.07819362 - samples/sec: 16.50 - lr: 0.025000 +2021-06-20 13:47:55,957 epoch 138 - iter 88/226 - loss 2.11361395 - samples/sec: 17.46 - lr: 0.025000 +2021-06-20 13:48:37,859 epoch 138 - iter 110/226 - loss 2.12878031 - samples/sec: 16.80 - lr: 0.025000 +2021-06-20 13:49:22,421 epoch 138 - iter 132/226 - loss 2.14127826 - samples/sec: 15.80 - lr: 0.025000 +2021-06-20 13:50:04,734 epoch 138 - iter 154/226 - loss 2.16985827 - samples/sec: 16.64 - lr: 0.025000 +2021-06-20 13:50:48,146 epoch 138 - iter 176/226 - loss 2.16148058 - samples/sec: 16.22 - lr: 0.025000 +2021-06-20 13:51:31,514 epoch 138 - iter 198/226 - loss 2.16007555 - samples/sec: 16.24 - lr: 0.025000 +2021-06-20 13:52:14,341 epoch 138 - iter 220/226 - loss 2.16490748 - samples/sec: 16.44 - lr: 0.025000 +2021-06-20 13:52:24,358 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:52:24,363 EPOCH 138 done: loss 2.1572 - lr 0.0250000 +2021-06-20 13:52:24,366 BAD EPOCHS (no improvement): 4 +2021-06-20 13:52:24,373 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:53:07,925 epoch 139 - iter 22/226 - loss 2.26974162 - samples/sec: 16.17 - lr: 0.012500 +2021-06-20 13:53:50,706 epoch 139 - iter 44/226 - loss 2.10014708 - samples/sec: 16.46 - lr: 0.012500 +2021-06-20 13:54:31,193 epoch 139 - iter 66/226 - loss 2.05845330 - samples/sec: 17.39 - lr: 0.012500 +2021-06-20 13:55:14,941 epoch 139 - iter 88/226 - loss 2.06824028 - samples/sec: 16.09 - lr: 0.012500 +2021-06-20 13:55:57,715 epoch 139 - iter 110/226 - loss 2.05350401 - samples/sec: 16.46 - lr: 0.012500 +2021-06-20 13:56:39,006 epoch 139 - iter 132/226 - loss 2.06310985 - samples/sec: 17.05 - lr: 0.012500 +2021-06-20 13:57:21,616 epoch 139 - iter 154/226 - loss 2.08525669 - samples/sec: 16.52 - lr: 0.012500 +2021-06-20 13:58:05,719 epoch 139 - iter 176/226 - loss 2.10377986 - samples/sec: 15.96 - lr: 0.012500 +2021-06-20 13:58:46,637 epoch 139 - iter 198/226 - loss 2.10099388 - samples/sec: 17.21 - lr: 0.012500 +2021-06-20 13:59:31,886 epoch 139 - iter 220/226 - loss 2.10605547 - samples/sec: 15.56 - lr: 0.012500 +2021-06-20 13:59:42,571 ---------------------------------------------------------------------------------------------------- +2021-06-20 13:59:42,574 EPOCH 139 done: loss 2.1092 - lr 0.0125000 +2021-06-20 13:59:42,577 BAD EPOCHS (no improvement): 0 +2021-06-20 13:59:42,585 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:00:26,376 epoch 140 - iter 22/226 - loss 2.16266837 - samples/sec: 16.08 - lr: 0.012500 +2021-06-20 14:01:10,734 epoch 140 - iter 44/226 - loss 2.18583574 - samples/sec: 15.87 - lr: 0.012500 +2021-06-20 14:01:51,837 epoch 140 - iter 66/226 - loss 2.14353238 - samples/sec: 17.13 - lr: 0.012500 +2021-06-20 14:02:31,608 epoch 140 - iter 88/226 - loss 2.11189264 - samples/sec: 17.70 - lr: 0.012500 +2021-06-20 14:03:13,771 epoch 140 - iter 110/226 - loss 2.10760917 - samples/sec: 16.70 - lr: 0.012500 +2021-06-20 14:03:57,688 epoch 140 - iter 132/226 - loss 2.11797989 - samples/sec: 16.03 - lr: 0.012500 +2021-06-20 14:04:40,973 epoch 140 - iter 154/226 - loss 2.12904078 - samples/sec: 16.27 - lr: 0.012500 +2021-06-20 14:05:22,479 epoch 140 - iter 176/226 - loss 2.12452182 - samples/sec: 16.96 - lr: 0.012500 +2021-06-20 14:06:06,618 epoch 140 - iter 198/226 - loss 2.13619324 - samples/sec: 15.95 - lr: 0.012500 +2021-06-20 14:06:51,643 epoch 140 - iter 220/226 - loss 2.13880016 - samples/sec: 15.64 - lr: 0.012500 +2021-06-20 14:07:02,485 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:07:02,487 EPOCH 140 done: loss 2.1463 - lr 0.0125000 +2021-06-20 14:07:02,490 BAD EPOCHS (no improvement): 1 +2021-06-20 14:07:02,499 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:07:48,326 epoch 141 - iter 22/226 - loss 2.10734994 - samples/sec: 15.36 - lr: 0.012500 +2021-06-20 14:08:29,427 epoch 141 - iter 44/226 - loss 2.11148466 - samples/sec: 17.13 - lr: 0.012500 +2021-06-20 14:09:11,757 epoch 141 - iter 66/226 - loss 2.08418243 - samples/sec: 16.63 - lr: 0.012500 +2021-06-20 14:09:52,962 epoch 141 - iter 88/226 - loss 2.08466611 - samples/sec: 17.09 - lr: 0.012500 +2021-06-20 14:10:35,142 epoch 141 - iter 110/226 - loss 2.06323048 - samples/sec: 16.69 - lr: 0.012500 +2021-06-20 14:11:15,687 epoch 141 - iter 132/226 - loss 2.07630201 - samples/sec: 17.37 - lr: 0.012500 +2021-06-20 14:12:01,289 epoch 141 - iter 154/226 - loss 2.08789024 - samples/sec: 15.44 - lr: 0.012500 +2021-06-20 14:12:44,874 epoch 141 - iter 176/226 - loss 2.09424912 - samples/sec: 16.16 - lr: 0.012500 +2021-06-20 14:13:28,806 epoch 141 - iter 198/226 - loss 2.09730550 - samples/sec: 16.03 - lr: 0.012500 +2021-06-20 14:14:11,970 epoch 141 - iter 220/226 - loss 2.11062788 - samples/sec: 16.31 - lr: 0.012500 +2021-06-20 14:14:22,502 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:14:22,504 EPOCH 141 done: loss 2.1058 - lr 0.0125000 +2021-06-20 14:14:22,508 BAD EPOCHS (no improvement): 0 +2021-06-20 14:14:22,519 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:15:04,818 epoch 142 - iter 22/226 - loss 2.15346564 - samples/sec: 16.65 - lr: 0.012500 +2021-06-20 14:15:48,044 epoch 142 - iter 44/226 - loss 2.03791101 - samples/sec: 16.29 - lr: 0.012500 +2021-06-20 14:16:30,626 epoch 142 - iter 66/226 - loss 2.04331342 - samples/sec: 16.54 - lr: 0.012500 +2021-06-20 14:17:13,551 epoch 142 - iter 88/226 - loss 2.10727226 - samples/sec: 16.40 - lr: 0.012500 +2021-06-20 14:17:57,750 epoch 142 - iter 110/226 - loss 2.13750646 - samples/sec: 15.93 - lr: 0.012500 +2021-06-20 14:18:41,293 epoch 142 - iter 132/226 - loss 2.16791931 - samples/sec: 16.17 - lr: 0.012500 +2021-06-20 14:19:22,067 epoch 142 - iter 154/226 - loss 2.18220141 - samples/sec: 17.27 - lr: 0.012500 +2021-06-20 14:20:05,399 epoch 142 - iter 176/226 - loss 2.16428780 - samples/sec: 16.25 - lr: 0.012500 +2021-06-20 14:20:49,323 epoch 142 - iter 198/226 - loss 2.16069513 - samples/sec: 16.03 - lr: 0.012500 +2021-06-20 14:21:29,665 epoch 142 - iter 220/226 - loss 2.15317218 - samples/sec: 17.45 - lr: 0.012500 +2021-06-20 14:21:40,536 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:21:40,539 EPOCH 142 done: loss 2.1559 - lr 0.0125000 +2021-06-20 14:21:40,543 BAD EPOCHS (no improvement): 1 +2021-06-20 14:21:40,552 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:22:25,900 epoch 143 - iter 22/226 - loss 2.14517734 - samples/sec: 15.53 - lr: 0.012500 +2021-06-20 14:23:08,413 epoch 143 - iter 44/226 - loss 2.04793783 - samples/sec: 16.56 - lr: 0.012500 +2021-06-20 14:23:48,938 epoch 143 - iter 66/226 - loss 2.14150775 - samples/sec: 17.37 - lr: 0.012500 +2021-06-20 14:24:33,081 epoch 143 - iter 88/226 - loss 2.10969840 - samples/sec: 15.95 - lr: 0.012500 +2021-06-20 14:25:14,695 epoch 143 - iter 110/226 - loss 2.09782610 - samples/sec: 16.92 - lr: 0.012500 +2021-06-20 14:25:56,300 epoch 143 - iter 132/226 - loss 2.09329575 - samples/sec: 16.92 - lr: 0.012500 +2021-06-20 14:26:39,770 epoch 143 - iter 154/226 - loss 2.07845015 - samples/sec: 16.20 - lr: 0.012500 +2021-06-20 14:27:22,412 epoch 143 - iter 176/226 - loss 2.05165122 - samples/sec: 16.51 - lr: 0.012500 +2021-06-20 14:28:03,904 epoch 143 - iter 198/226 - loss 2.05158847 - samples/sec: 16.97 - lr: 0.012500 +2021-06-20 14:28:42,445 epoch 143 - iter 220/226 - loss 2.06099328 - samples/sec: 18.27 - lr: 0.012500 +2021-06-20 14:28:53,966 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:28:53,969 EPOCH 143 done: loss 2.0599 - lr 0.0125000 +2021-06-20 14:28:53,971 BAD EPOCHS (no improvement): 0 +2021-06-20 14:28:53,982 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:29:38,359 epoch 144 - iter 22/226 - loss 2.02253361 - samples/sec: 15.87 - lr: 0.012500 +2021-06-20 14:30:18,026 epoch 144 - iter 44/226 - loss 2.08515396 - samples/sec: 17.75 - lr: 0.012500 +2021-06-20 14:30:59,451 epoch 144 - iter 66/226 - loss 2.10834194 - samples/sec: 17.00 - lr: 0.012500 +2021-06-20 14:31:40,652 epoch 144 - iter 88/226 - loss 2.08938084 - samples/sec: 17.09 - lr: 0.012500 +2021-06-20 14:32:24,308 epoch 144 - iter 110/226 - loss 2.11657899 - samples/sec: 16.13 - lr: 0.012500 +2021-06-20 14:33:05,260 epoch 144 - iter 132/226 - loss 2.10981901 - samples/sec: 17.19 - lr: 0.012500 +2021-06-20 14:33:46,047 epoch 144 - iter 154/226 - loss 2.09849418 - samples/sec: 17.26 - lr: 0.012500 +2021-06-20 14:34:31,112 epoch 144 - iter 176/226 - loss 2.09436460 - samples/sec: 15.62 - lr: 0.012500 +2021-06-20 14:35:14,139 epoch 144 - iter 198/226 - loss 2.11040884 - samples/sec: 16.36 - lr: 0.012500 +2021-06-20 14:35:55,176 epoch 144 - iter 220/226 - loss 2.09708548 - samples/sec: 17.16 - lr: 0.012500 +2021-06-20 14:36:07,206 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:36:07,208 EPOCH 144 done: loss 2.0869 - lr 0.0125000 +2021-06-20 14:36:07,211 BAD EPOCHS (no improvement): 1 +2021-06-20 14:36:07,226 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:36:52,548 epoch 145 - iter 22/226 - loss 2.05403547 - samples/sec: 15.54 - lr: 0.012500 +2021-06-20 14:37:37,756 epoch 145 - iter 44/226 - loss 2.10736214 - samples/sec: 15.57 - lr: 0.012500 +2021-06-20 14:38:20,967 epoch 145 - iter 66/226 - loss 2.13672922 - samples/sec: 16.30 - lr: 0.012500 +2021-06-20 14:39:02,447 epoch 145 - iter 88/226 - loss 2.12779100 - samples/sec: 16.97 - lr: 0.012500 +2021-06-20 14:39:44,484 epoch 145 - iter 110/226 - loss 2.15192435 - samples/sec: 16.75 - lr: 0.012500 +2021-06-20 14:40:26,672 epoch 145 - iter 132/226 - loss 2.11523259 - samples/sec: 16.69 - lr: 0.012500 +2021-06-20 14:41:11,006 epoch 145 - iter 154/226 - loss 2.11040345 - samples/sec: 15.88 - lr: 0.012500 +2021-06-20 14:41:53,847 epoch 145 - iter 176/226 - loss 2.12100567 - samples/sec: 16.43 - lr: 0.012500 +2021-06-20 14:42:34,638 epoch 145 - iter 198/226 - loss 2.10142744 - samples/sec: 17.26 - lr: 0.012500 +2021-06-20 14:43:15,177 epoch 145 - iter 220/226 - loss 2.11046959 - samples/sec: 17.37 - lr: 0.012500 +2021-06-20 14:43:25,721 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:43:25,724 EPOCH 145 done: loss 2.1136 - lr 0.0125000 +2021-06-20 14:43:25,727 BAD EPOCHS (no improvement): 2 +2021-06-20 14:43:25,739 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:44:09,835 epoch 146 - iter 22/226 - loss 2.10731731 - samples/sec: 15.97 - lr: 0.012500 +2021-06-20 14:44:52,638 epoch 146 - iter 44/226 - loss 2.06020443 - samples/sec: 16.45 - lr: 0.012500 +2021-06-20 14:45:35,805 epoch 146 - iter 66/226 - loss 2.07164986 - samples/sec: 16.31 - lr: 0.012500 +2021-06-20 14:46:15,945 epoch 146 - iter 88/226 - loss 2.05386638 - samples/sec: 17.54 - lr: 0.012500 +2021-06-20 14:47:01,367 epoch 146 - iter 110/226 - loss 2.05043365 - samples/sec: 15.50 - lr: 0.012500 +2021-06-20 14:47:40,943 epoch 146 - iter 132/226 - loss 2.07164671 - samples/sec: 17.79 - lr: 0.012500 +2021-06-20 14:48:22,865 epoch 146 - iter 154/226 - loss 2.07315616 - samples/sec: 16.80 - lr: 0.012500 +2021-06-20 14:49:05,679 epoch 146 - iter 176/226 - loss 2.06549580 - samples/sec: 16.45 - lr: 0.012500 +2021-06-20 14:49:47,368 epoch 146 - iter 198/226 - loss 2.08307604 - samples/sec: 16.89 - lr: 0.012500 +2021-06-20 14:50:31,400 epoch 146 - iter 220/226 - loss 2.08865857 - samples/sec: 15.99 - lr: 0.012500 +2021-06-20 14:50:43,174 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:50:43,178 EPOCH 146 done: loss 2.0912 - lr 0.0125000 +2021-06-20 14:50:43,180 BAD EPOCHS (no improvement): 3 +2021-06-20 14:50:43,192 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:51:27,276 epoch 147 - iter 22/226 - loss 2.06472863 - samples/sec: 15.97 - lr: 0.012500 +2021-06-20 14:52:09,728 epoch 147 - iter 44/226 - loss 2.04797266 - samples/sec: 16.59 - lr: 0.012500 +2021-06-20 14:52:48,139 epoch 147 - iter 66/226 - loss 2.04609650 - samples/sec: 18.33 - lr: 0.012500 +2021-06-20 14:53:28,518 epoch 147 - iter 88/226 - loss 2.07386228 - samples/sec: 17.44 - lr: 0.012500 +2021-06-20 14:54:11,594 epoch 147 - iter 110/226 - loss 2.07578512 - samples/sec: 16.35 - lr: 0.012500 +2021-06-20 14:54:55,052 epoch 147 - iter 132/226 - loss 2.12849798 - samples/sec: 16.20 - lr: 0.012500 +2021-06-20 14:55:37,098 epoch 147 - iter 154/226 - loss 2.11855950 - samples/sec: 16.75 - lr: 0.012500 +2021-06-20 14:56:18,203 epoch 147 - iter 176/226 - loss 2.10740735 - samples/sec: 17.13 - lr: 0.012500 +2021-06-20 14:56:59,776 epoch 147 - iter 198/226 - loss 2.11421221 - samples/sec: 16.94 - lr: 0.012500 +2021-06-20 14:57:41,163 epoch 147 - iter 220/226 - loss 2.12185296 - samples/sec: 17.01 - lr: 0.012500 +2021-06-20 14:57:51,479 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:57:51,482 EPOCH 147 done: loss 2.1155 - lr 0.0125000 +2021-06-20 14:57:51,486 BAD EPOCHS (no improvement): 4 +2021-06-20 14:57:51,500 ---------------------------------------------------------------------------------------------------- +2021-06-20 14:58:32,543 epoch 148 - iter 22/226 - loss 2.07325294 - samples/sec: 17.16 - lr: 0.006250 +2021-06-20 14:59:17,979 epoch 148 - iter 44/226 - loss 2.18444758 - samples/sec: 15.50 - lr: 0.006250 +2021-06-20 14:59:57,661 epoch 148 - iter 66/226 - loss 2.18576782 - samples/sec: 17.74 - lr: 0.006250 +2021-06-20 15:00:39,253 epoch 148 - iter 88/226 - loss 2.16410627 - samples/sec: 16.93 - lr: 0.006250 +2021-06-20 15:01:23,018 epoch 148 - iter 110/226 - loss 2.12924412 - samples/sec: 16.09 - lr: 0.006250 +2021-06-20 15:02:05,887 epoch 148 - iter 132/226 - loss 2.14359743 - samples/sec: 16.42 - lr: 0.006250 +2021-06-20 15:02:48,000 epoch 148 - iter 154/226 - loss 2.15099064 - samples/sec: 16.72 - lr: 0.006250 +2021-06-20 15:03:30,242 epoch 148 - iter 176/226 - loss 2.12808716 - samples/sec: 16.67 - lr: 0.006250 +2021-06-20 15:04:14,656 epoch 148 - iter 198/226 - loss 2.12593211 - samples/sec: 15.85 - lr: 0.006250 +2021-06-20 15:04:54,819 epoch 148 - iter 220/226 - loss 2.12092374 - samples/sec: 17.53 - lr: 0.006250 +2021-06-20 15:05:04,673 ---------------------------------------------------------------------------------------------------- +2021-06-20 15:05:04,677 EPOCH 148 done: loss 2.1174 - lr 0.0062500 +2021-06-20 15:05:04,681 BAD EPOCHS (no improvement): 1 +2021-06-20 15:05:04,692 ---------------------------------------------------------------------------------------------------- +2021-06-20 15:05:48,342 epoch 149 - iter 22/226 - loss 2.06135177 - samples/sec: 16.13 - lr: 0.006250 +2021-06-20 15:06:28,270 epoch 149 - iter 44/226 - loss 2.06059647 - samples/sec: 17.63 - lr: 0.006250 +2021-06-20 15:07:13,424 epoch 149 - iter 66/226 - loss 2.06654369 - samples/sec: 15.59 - lr: 0.006250 +2021-06-20 15:07:53,822 epoch 149 - iter 88/226 - loss 2.08129221 - samples/sec: 17.43 - lr: 0.006250 +2021-06-20 15:08:38,481 epoch 149 - iter 110/226 - loss 2.11101666 - samples/sec: 15.77 - lr: 0.006250 +2021-06-20 15:09:18,860 epoch 149 - iter 132/226 - loss 2.09272556 - samples/sec: 17.44 - lr: 0.006250 +2021-06-20 15:10:00,503 epoch 149 - iter 154/226 - loss 2.08400940 - samples/sec: 16.91 - lr: 0.006250 +2021-06-20 15:10:42,294 epoch 149 - iter 176/226 - loss 2.11499166 - samples/sec: 16.85 - lr: 0.006250 +2021-06-20 15:11:23,403 epoch 149 - iter 198/226 - loss 2.10203031 - samples/sec: 17.13 - lr: 0.006250 +2021-06-20 15:12:04,761 epoch 149 - iter 220/226 - loss 2.12395299 - samples/sec: 17.02 - lr: 0.006250 +2021-06-20 15:12:15,526 ---------------------------------------------------------------------------------------------------- +2021-06-20 15:12:15,528 EPOCH 149 done: loss 2.1251 - lr 0.0062500 +2021-06-20 15:12:15,531 BAD EPOCHS (no improvement): 2 +2021-06-20 15:12:15,542 ---------------------------------------------------------------------------------------------------- +2021-06-20 15:12:57,663 epoch 150 - iter 22/226 - loss 2.02752427 - samples/sec: 16.72 - lr: 0.006250 +2021-06-20 15:13:39,689 epoch 150 - iter 44/226 - loss 2.04645452 - samples/sec: 16.75 - lr: 0.006250 +2021-06-20 15:14:21,718 epoch 150 - iter 66/226 - loss 2.05917931 - samples/sec: 16.75 - lr: 0.006250 +2021-06-20 15:15:02,772 epoch 150 - iter 88/226 - loss 2.10350781 - samples/sec: 17.15 - lr: 0.006250 +2021-06-20 15:15:43,432 epoch 150 - iter 110/226 - loss 2.05963723 - samples/sec: 17.32 - lr: 0.006250 +2021-06-20 15:16:25,678 epoch 150 - iter 132/226 - loss 2.06506506 - samples/sec: 16.67 - lr: 0.006250 +2021-06-20 15:17:07,851 epoch 150 - iter 154/226 - loss 2.08063207 - samples/sec: 16.70 - lr: 0.006250 +2021-06-20 15:17:50,668 epoch 150 - iter 176/226 - loss 2.08491369 - samples/sec: 16.44 - lr: 0.006250 +2021-06-20 15:18:33,708 epoch 150 - iter 198/226 - loss 2.09175825 - samples/sec: 16.36 - lr: 0.006250 +2021-06-20 15:19:15,386 epoch 150 - iter 220/226 - loss 2.09988373 - samples/sec: 16.89 - lr: 0.006250 +2021-06-20 15:19:25,656 ---------------------------------------------------------------------------------------------------- +2021-06-20 15:19:25,659 EPOCH 150 done: loss 2.1025 - lr 0.0062500 +2021-06-20 15:19:25,665 BAD EPOCHS (no improvement): 3 +2021-06-20 15:19:32,070 ---------------------------------------------------------------------------------------------------- +2021-06-20 15:19:32,073 Testing using best model ... +2021-06-20 15:20:24,995 0.9496 +2021-06-20 15:20:24,997 +Results: +- F-score (micro): 0.9496 +- F-score (macro): 0.7155 +- Accuracy (incl. no class): 0.9496 + +By class: + precision recall f1-score support + + Vmer1p 0.9091 1.0000 0.9524 30 + Pp3msa--y 0.8333 1.0000 0.9091 30 + Rgp 0.9764 0.9538 0.9650 650 + Cs 0.9963 0.9963 0.9963 536 + Agpfsa 0.9024 0.9867 0.9427 75 + Ncfsa 0.9737 0.9911 0.9823 224 + Z 1.0000 1.0000 1.0000 1876 + Sl 1.0000 0.9922 0.9961 514 + Ncfsl 0.9928 0.9928 0.9928 138 + Ncfpl 0.9149 0.9773 0.9451 44 + Sa 0.9756 1.0000 0.9877 320 + Cc 0.9931 0.9847 0.9889 588 + Va-r3s-n 1.0000 1.0000 1.0000 532 + Agpfsn 0.9286 0.9832 0.9551 119 + Ncfsn 0.9703 0.9385 0.9542 244 + Ncfsg 0.9275 0.9458 0.9366 203 + Px---d--y 1.0000 0.9615 0.9804 26 + Ncmpa 0.9126 0.9216 0.9171 102 + Ncmsan 0.9341 0.9176 0.9258 170 + Ncmpn 0.9505 0.9796 0.9648 98 + Agsfsn 1.0000 1.0000 1.0000 4 + Npmsg 0.8438 0.7297 0.7826 37 + Npmsn 0.7895 0.8710 0.8282 155 + Q 0.9794 0.9896 0.9845 385 + Ncnpn 0.7500 0.7500 0.7500 12 + Agpmpg 0.9512 1.0000 0.9750 39 + Mdc 0.9474 1.0000 0.9730 72 + Ncmpg 0.9831 0.9915 0.9872 117 + Va-r3p-n 1.0000 1.0000 1.0000 144 + Appnpn 1.0000 0.5000 0.6667 4 + Rgc 0.9851 1.0000 0.9925 66 + Ncmpl 0.9286 0.9811 0.9541 53 + Px------y 1.0000 1.0000 1.0000 205 + Npmpl 1.0000 1.0000 1.0000 2 + Ncfpg 0.9478 0.9160 0.9316 119 + Vmpr3s 0.9756 0.9877 0.9816 162 + Vmpr1p 0.8750 0.9333 0.9032 45 + Sg 0.9901 0.9901 0.9901 203 + Agpfpg 0.8800 0.9565 0.9167 46 + Pd-msn 1.0000 0.8667 0.9286 15 + Ncmsn 0.8939 0.9012 0.8975 243 + Vmep-sm 0.9600 0.9825 0.9711 171 + Agpmsl 0.8750 0.8974 0.8861 39 + Ncmsl 0.9703 0.9899 0.9800 99 + Vmpr3p 0.9479 0.9891 0.9681 92 + Vmen 0.8714 0.9839 0.9242 62 + Ncnsa 0.9308 0.9680 0.9490 125 + Agpnsa 0.7500 0.8919 0.8148 37 + Mlpmsl 1.0000 1.0000 1.0000 5 + Npmpg 1.0000 0.5000 0.6667 2 + Agpfpn 0.9500 0.8261 0.8837 46 + Ncfpn 0.9028 0.8784 0.8904 74 + Si 0.9918 0.9918 0.9918 244 + Ncfsi 0.9492 0.9492 0.9492 59 + Pi-nsi 1.0000 0.0000 0.0000 1 + Agpnsi 0.8571 1.0000 0.9231 6 + Ncnsi 1.0000 0.9310 0.9643 29 + Ncnsl 1.0000 0.9651 0.9822 86 + Aspmsg 0.4000 1.0000 0.5714 2 + Ncmsg 0.9340 0.9436 0.9388 195 + Npfsg 0.8500 0.6800 0.7556 25 + Mlpfsl 1.0000 1.0000 1.0000 5 + Pd-fsn 0.9091 1.0000 0.9524 10 + Vmep-sf 0.9135 0.9794 0.9453 97 + Pd-nsa 1.0000 1.0000 1.0000 17 + Npmpn 1.0000 0.7500 0.8571 8 + Agpmsny 0.9649 0.9016 0.9322 61 + Pp1-pg 0.8333 0.8333 0.8333 6 + Vmer3s 0.9836 1.0000 0.9917 60 + Agpfsi 0.8824 0.8824 0.8824 17 + Va-f3p-n 1.0000 1.0000 1.0000 22 + Vmpp-pm 0.9655 0.9655 0.9655 58 + Pd-msa 0.7500 0.8571 0.8000 7 + Ncnpg 1.0000 0.8750 0.9333 40 + Agpmpn 0.9375 0.9375 0.9375 48 + Npfsl 0.9412 0.8421 0.8889 19 + Ncnsg 0.9580 0.9421 0.9500 121 + Vmep-sn 0.9062 1.0000 0.9508 29 + Pg-fpa 0.7500 1.0000 0.8571 3 + Ncfpa 0.7701 0.8701 0.8171 77 + Appnpg 0.6000 0.5000 0.5455 6 + Agpnpg 1.0000 0.7368 0.8485 19 + Agpnsl 0.8824 0.9091 0.8955 33 + Pg-mdg 1.0000 0.6667 0.8000 3 + Pg-fdg 0.0000 1.0000 0.0000 0 + Ncfdg 1.0000 0.5000 0.6667 2 + Ps3fpnsm 1.0000 1.0000 1.0000 2 + Va-p-sf 0.9677 1.0000 0.9836 30 + Ncmsi 0.9483 1.0000 0.9735 55 + Ps3fsnsm 1.0000 1.0000 1.0000 6 + Pp3fsa--y 1.0000 1.0000 1.0000 22 + Vmpp-sf 0.9615 0.9259 0.9434 54 + Mlpfsn 1.0000 1.0000 1.0000 7 + Mlpmsn 1.0000 1.0000 1.0000 5 + Appmpg 0.7000 1.0000 0.8235 7 + Pd-msl 1.0000 1.0000 1.0000 7 + Vmpn 0.8852 0.9310 0.9076 58 + Agpfpl 0.9412 1.0000 0.9697 16 + Agpnsn 0.8507 0.8769 0.8636 65 + Vmbr3p 1.0000 0.5000 0.6667 8 + Agpfpa 0.6512 0.8750 0.7467 32 + Agpfsl 0.9574 1.0000 0.9783 45 + Vmbn 0.9231 0.6000 0.7273 20 + Pi-fsg 1.0000 1.0000 1.0000 2 + Agpfsg 0.9351 0.9231 0.9290 78 + Appfsg 0.5714 0.6667 0.6154 6 + Va-c 1.0000 1.0000 1.0000 91 + Vmbp-sf 1.0000 0.7778 0.8750 9 + Pp3mpa--y 0.3684 0.5385 0.4375 13 + Pp3npa--y 0.0000 0.0000 0.0000 3 + Pd-nsl 1.0000 1.0000 1.0000 16 + Va-r3s-y 1.0000 1.0000 1.0000 53 + Vmpr3d 1.0000 1.0000 1.0000 4 + Vmbr3d 1.0000 1.0000 1.0000 1 + Agpmsay 0.9189 0.9189 0.9189 37 + Pq-fsl 0.7500 1.0000 0.8571 3 + Va-p-sn 1.0000 1.0000 1.0000 28 + Agpfpi 0.7857 1.0000 0.8800 11 + Ncfpi 0.9600 1.0000 0.9796 24 + Npfsn 0.8254 0.8254 0.8254 63 + Ncnsn 0.9625 0.8953 0.9277 86 + Pq-msl 0.8571 1.0000 0.9231 6 + Px-nsa 1.0000 1.0000 1.0000 5 + Appnsl 0.7500 0.7500 0.7500 4 + Pq-nsg 1.0000 0.7500 0.8571 4 + Agpnsg 0.9231 0.9231 0.9231 39 + Pd-fsl 1.0000 1.0000 1.0000 3 + Agpmsnn 0.9091 0.9524 0.9302 42 + Vmbr3s 1.0000 0.9333 0.9655 30 + Agpnpi 0.6667 0.6667 0.6667 6 + Ncnpi 1.0000 0.9000 0.9474 20 + Va-p-pm 1.0000 1.0000 1.0000 9 + Appmpn 0.8846 1.0000 0.9388 23 + Sd 1.0000 1.0000 1.0000 28 + Agpfsd 1.0000 0.9091 0.9524 11 + Ncfsd 1.0000 0.9000 0.9474 20 + Agpnsd 0.7143 0.7143 0.7143 7 + Ncnsd 0.9231 0.8571 0.8889 14 + Agpmsg 0.9385 0.9531 0.9457 64 + Npfsa 0.7500 0.5455 0.6316 11 + Ncmpi 0.9091 0.9375 0.9231 32 + Aspfsa 1.0000 0.6667 0.8000 3 + Appmsnn 0.8889 0.8571 0.8727 28 + Ps3mpgsf 1.0000 1.0000 1.0000 3 + Vmep-pm 0.9565 0.9888 0.9724 89 + Agpmsd 0.6667 0.8571 0.7500 7 + Ncmsd 0.9524 0.9524 0.9524 21 + Aspfsn 1.0000 1.0000 1.0000 6 + Px-msl 1.0000 1.0000 1.0000 2 + Pp3fsd 1.0000 1.0000 1.0000 1 + Appmsny 0.7500 0.8571 0.8000 7 + Agpmpl 0.9412 1.0000 0.9697 16 + Pg-msa 0.8182 0.8182 0.8182 11 + Pr-nsn 0.8333 1.0000 0.9091 10 + Agcfsg 0.7500 0.7500 0.7500 4 + Appmsi 0.7500 1.0000 0.8571 3 + Agpmpa 0.9355 0.8286 0.8788 35 + Agcfpg 1.0000 1.0000 1.0000 1 + Vmpr2p 0.9091 0.9091 0.9091 11 + Px-fsl 1.0000 1.0000 1.0000 5 + Va-r2p-n 1.0000 1.0000 1.0000 4 + Pg-fpg 1.0000 0.0000 0.0000 1 + Pg-mpg 0.6667 1.0000 0.8000 2 + Appfpg 0.5000 0.4444 0.4706 9 + Pp2-pd 1.0000 1.0000 1.0000 5 + Vmbr2p 1.0000 0.0000 0.0000 2 + Vmer2p 0.6364 0.7778 0.7000 9 + Agsmsay 1.0000 1.0000 1.0000 1 + Npmsan 0.1667 0.4000 0.2353 5 + Agsfpa 1.0000 0.0000 0.0000 2 + Agsmpa 0.5000 1.0000 0.6667 1 + Pq-nsa 0.8182 0.7500 0.7826 12 + Agsnsn 1.0000 1.0000 1.0000 3 + Pq-mpa 0.5000 0.5000 0.5000 4 + Ncnpl 1.0000 0.7273 0.8421 11 + Pd-nsg 1.0000 1.0000 1.0000 18 + Pr-nsa 0.8889 0.8000 0.8421 10 + Va-p-sm 1.0000 1.0000 1.0000 34 + Pr-nsl 1.0000 0.8000 0.8889 5 + Agcmsay 1.0000 1.0000 1.0000 2 + Agpmsa 1.0000 0.8571 0.9231 7 + Appmsa 0.3333 1.0000 0.5000 1 + Pp2-pl 1.0000 0.0000 0.0000 1 + Pp2-pa 0.8571 1.0000 0.9231 6 + Pq-nsn 0.8333 0.6250 0.7143 8 + Vmer3p 0.9655 0.9655 0.9655 29 + Pp3msd--y 1.0000 1.0000 1.0000 16 + Appfsn 0.9375 0.7143 0.8108 21 + Pi-fsa 1.0000 1.0000 1.0000 2 + Pp2mpn 1.0000 1.0000 1.0000 2 + Vmpr2p-y 1.0000 1.0000 1.0000 1 + Pz-nsa 1.0000 1.0000 1.0000 1 + Ps3fsism 1.0000 1.0000 1.0000 2 + Va-f3s-n 1.0000 1.0000 1.0000 45 + Vmpp-sm 0.9315 0.9577 0.9444 71 + Pi-nsn 0.6667 0.8000 0.7273 5 + Pi-msa 0.8333 1.0000 0.9091 5 + Pp3nsa--y 1.0000 0.0000 0.0000 6 + Pp3nsi 1.0000 0.0000 0.0000 1 + Pp3msi 0.7500 1.0000 0.8571 3 + Pd-nsn 1.0000 1.0000 1.0000 27 + Agpfpd 1.0000 1.0000 1.0000 2 + Ncfpd 1.0000 0.8000 0.8889 5 + Px---g 1.0000 0.6667 0.8000 3 + Pi-msg 1.0000 0.8000 0.8889 5 + Mlpmsg 1.0000 0.0000 0.0000 1 + Mlpnsg 0.5000 1.0000 0.6667 1 + Vmpr1s 0.9500 1.0000 0.9744 19 + Pg-msl 1.0000 1.0000 1.0000 2 + Pq-fpg 1.0000 1.0000 1.0000 2 + Pp3fsa--b 1.0000 1.0000 1.0000 4 + Pg-nsn 0.6000 0.7500 0.6667 4 + Pg-nsa 0.8571 0.7500 0.8000 8 + Mlcfpa 0.3333 1.0000 0.5000 1 + Agpmsi 1.0000 1.0000 1.0000 8 + Agpmpi 0.8750 1.0000 0.9333 7 + Pp3mpd--y 0.7778 0.8750 0.8235 8 + Vmbr1p 1.0000 0.1667 0.2857 6 + Ps1nsns 1.0000 1.0000 1.0000 2 + Px---a 0.5000 1.0000 0.6667 1 + Ncmsay 0.6000 0.9375 0.7317 16 + Pi-mpa 1.0000 0.0000 0.0000 2 + Pi-fpn 0.5000 1.0000 0.6667 1 + Ps3nsnp 1.0000 0.0000 0.0000 1 + Ps3nsap 0.5000 0.3333 0.4000 3 + Appmpa 0.7143 0.6250 0.6667 8 + Mlcmpa 1.0000 0.5000 0.6667 4 + Pq-npl 1.0000 0.0000 0.0000 1 + Pq-mpl 0.3333 1.0000 0.5000 1 + Mlpnpa 1.0000 1.0000 1.0000 2 + Ncnpa 0.8966 0.8966 0.8966 29 + Ps3fsasm 1.0000 1.0000 1.0000 1 + Pq-fsa 0.6250 1.0000 0.7692 5 + Vmpr3s-n 1.0000 1.0000 1.0000 13 + Pq-fpn 1.0000 1.0000 1.0000 2 + Va-p-pf 1.0000 1.0000 1.0000 7 + Pd-fsa 1.0000 1.0000 1.0000 3 + Ps3fslsm 1.0000 1.0000 1.0000 2 + Pi-nsa 0.5000 0.3333 0.4000 3 + Px---l 1.0000 1.0000 1.0000 2 + Px-npa 1.0000 1.0000 1.0000 3 + Va-f2p-n 1.0000 1.0000 1.0000 4 + Appmsay 1.0000 1.0000 1.0000 1 + Va-r1s-n 1.0000 1.0000 1.0000 24 + Pp1-sd--y 1.0000 1.0000 1.0000 12 + Pi-fsn 1.0000 1.0000 1.0000 1 + Px-msa 1.0000 1.0000 1.0000 5 + Ps3nsasm 0.5000 1.0000 0.6667 2 + Pg-fsa 1.0000 1.0000 1.0000 2 + Va-r3d-n 0.9524 1.0000 0.9756 20 + Vmpp-dm 0.9231 1.0000 0.9600 12 + Pq-nsl 1.0000 0.5000 0.6667 2 + Va-r1p-y 1.0000 1.0000 1.0000 3 + Vmbp-pm 0.7500 0.7500 0.7500 4 + Ps1fslp 1.0000 1.0000 1.0000 1 + Ps1fsap 1.0000 1.0000 1.0000 1 + Pp1-pl 1.0000 1.0000 1.0000 1 + Pp1-sa--y 1.0000 1.0000 1.0000 4 + Ps1nsls 1.0000 0.0000 0.0000 1 + Ps1msls 0.0000 1.0000 0.0000 0 + Ncmpd 0.9286 1.0000 0.9630 13 + Pg-mpa 1.0000 1.0000 1.0000 3 + Mlpfpl 1.0000 1.0000 1.0000 2 + Va-r1p-n 1.0000 1.0000 1.0000 19 + Pd-npa 1.0000 0.0000 0.0000 2 + Pd-fpa 0.3333 1.0000 0.5000 1 + Mlc-pn 0.7500 0.5000 0.6000 6 + Mlc-pa 0.6364 0.8750 0.7368 8 + Pp1-pa 0.8000 0.8000 0.8000 5 + Ps1fsnp 1.0000 1.0000 1.0000 6 + Npfpn 1.0000 0.0000 0.0000 2 + Npfpl 0.3333 1.0000 0.5000 1 + Vmep-pf 1.0000 1.0000 1.0000 13 + Agsfpg 0.5000 1.0000 0.6667 2 + Agpnpa 0.9091 0.9091 0.9091 11 + Vmpp-pf 0.9333 1.0000 0.9655 14 + Mlcfpn 1.0000 1.0000 1.0000 1 + Px-fsi 1.0000 1.0000 1.0000 5 + Pq-msn 1.0000 1.0000 1.0000 3 + Appfpi 1.0000 0.5000 0.6667 4 + Pg-fdn 0.5000 1.0000 0.6667 1 + Ncfdn 0.6667 1.0000 0.8000 2 + Agpfdn 1.0000 0.0000 0.0000 1 + Pp3mda--y 1.0000 0.0000 0.0000 1 + Pp3fda--y 0.0000 1.0000 0.0000 0 + Mlofsl 1.0000 1.0000 1.0000 4 + Mdo 1.0000 1.0000 1.0000 12 + Appmdd 1.0000 0.0000 0.0000 1 + Appmda 0.0000 0.0000 0.0000 1 + Ncmdd 0.0000 0.0000 0.0000 1 + Ncmdg 1.0000 0.5000 0.6667 2 + Pg-npl 1.0000 0.0000 0.0000 1 + Pg-fpl 0.5000 1.0000 0.6667 1 + Agpnpl 0.6667 0.6667 0.6667 3 + Ps1mpap 0.3333 1.0000 0.5000 1 + Agsmsny 0.8333 1.0000 0.9091 5 + Npmsay 0.7647 0.9286 0.8387 14 + Mlonsn 1.0000 1.0000 1.0000 2 + Vmbr1s 1.0000 0.6667 0.8000 3 + Pp1-si 1.0000 1.0000 1.0000 1 + Aspfsl 1.0000 1.0000 1.0000 1 + Appfsa 0.8889 0.7273 0.8000 11 + Appmsd 1.0000 0.0000 0.0000 1 + Appmsl 0.3333 0.3333 0.3333 3 + X 1.0000 0.2000 0.3333 5 + Pq-fsn 1.0000 1.0000 1.0000 2 + Ps3fsnsf 1.0000 1.0000 1.0000 2 + Pd-fpn 1.0000 1.0000 1.0000 5 + Mlpfpg 1.0000 1.0000 1.0000 1 + Pi-fpl 1.0000 1.0000 1.0000 1 + Appfsi 1.0000 0.7500 0.8571 4 + Pd-fsg 1.0000 0.8333 0.9091 6 + Mlpmpl 1.0000 1.0000 1.0000 2 + Vmer1s 1.0000 1.0000 1.0000 8 + Pp1-pd 1.0000 1.0000 1.0000 8 + Mlpfsa 1.0000 1.0000 1.0000 4 + Npmsl 0.9333 1.0000 0.9655 14 + Npnsn 0.5000 1.0000 0.6667 1 + Appnsn 1.0000 0.9286 0.9630 14 + Rgs 1.0000 1.0000 1.0000 17 + Npfpg 0.6667 1.0000 0.8000 2 + Va-r3p-y 1.0000 1.0000 1.0000 25 + Y 1.0000 1.0000 1.0000 7 + Vmpp-sn 1.0000 0.8750 0.9333 16 + Agcfsn 1.0000 1.0000 1.0000 3 + Agpmsan 1.0000 0.8571 0.9231 14 + Ps3mpgsm 1.0000 1.0000 1.0000 2 + Mlc-pi 1.0000 0.5000 0.6667 2 + Npmpa 1.0000 0.0000 0.0000 2 + Npnsa 0.0000 1.0000 0.0000 0 + Ps1msns 1.0000 1.0000 1.0000 1 + Pz-nsn 0.0000 1.0000 0.0000 0 + Pq-msi 0.7500 1.0000 0.8571 3 + Pp3fpd--y 0.0000 0.0000 0.0000 1 + Aspmsnn 1.0000 0.8333 0.9091 6 + Pp3npg--y 1.0000 0.0000 0.0000 1 + Vmem2p 0.6000 0.8571 0.7059 7 + Pd-nsi 0.8889 1.0000 0.9412 8 + Vmbm2p 1.0000 0.2500 0.4000 4 + Pd-msd 1.0000 1.0000 1.0000 1 + Pp3msl 1.0000 1.0000 1.0000 4 + Agpmpd 1.0000 1.0000 1.0000 7 + Mlcmda 1.0000 1.0000 1.0000 3 + Ncmda 1.0000 0.4286 0.6000 7 + Pz-fpa 1.0000 0.0000 0.0000 1 + Pi-mpg 1.0000 1.0000 1.0000 3 + Pi-nsl 1.0000 1.0000 1.0000 1 + Pp3mpn 0.0000 1.0000 0.0000 0 + Va-r3d-y 1.0000 1.0000 1.0000 1 + Appmdn 0.0000 0.0000 0.0000 1 + Agpmdn 0.6667 0.3333 0.4444 6 + Pp3mpl 0.5000 1.0000 0.6667 2 + Agcfpl 0.5000 0.5000 0.5000 2 + Pd-fsi 0.6667 1.0000 0.8000 2 + Agcmpa 1.0000 0.5000 0.6667 6 + Agsfpi 1.0000 0.0000 0.0000 1 + Agsmpi 0.0000 1.0000 0.0000 0 + Pp3fpa--y 0.1667 0.1429 0.1538 7 + Px-msg 0.6667 1.0000 0.8000 2 + Agcfpa 0.0000 0.0000 0.0000 1 + Mlofsn 0.8333 1.0000 0.9091 5 + Appmsg 1.0000 0.6667 0.8000 3 + Px-fsa 1.0000 1.0000 1.0000 8 + Pp3msd 1.0000 1.0000 1.0000 1 + Aspmpn 1.0000 1.0000 1.0000 1 + Pg-nsd 1.0000 1.0000 1.0000 4 + Mlomsg 1.0000 1.0000 1.0000 1 + Ncmdi 1.0000 1.0000 1.0000 1 + Pi-mpn 1.0000 1.0000 1.0000 2 + Pq-fsi 1.0000 1.0000 1.0000 1 + Px-fpg 1.0000 1.0000 1.0000 1 + Mlcnpn 1.0000 0.0000 0.0000 1 + Mlcnpa 0.5000 1.0000 0.6667 1 + Vmpp-pn 1.0000 0.0000 0.0000 1 + Agsfsa 1.0000 1.0000 1.0000 4 + Mlofpg 1.0000 0.0000 0.0000 1 + Vmpr1p-y 1.0000 1.0000 1.0000 1 + Agcnsa 0.0000 1.0000 0.0000 0 + Ps1nsap 1.0000 0.0000 0.0000 2 + Pp3fsi 1.0000 1.0000 1.0000 2 + Pg-nsg 1.0000 1.0000 1.0000 5 + Mlpmpg 1.0000 1.0000 1.0000 3 + Va-n 1.0000 1.0000 1.0000 6 + Appfpn 0.7778 0.8750 0.8235 8 + Appfpa 0.3333 0.5000 0.4000 2 + Pd-fpd 1.0000 0.0000 0.0000 1 + Ps3fsgsm 1.0000 1.0000 1.0000 2 + Pp3fsd--y 1.0000 1.0000 1.0000 13 + Ps3msgsm 1.0000 0.0000 0.0000 3 + Ps3nsgsm 0.0000 1.0000 0.0000 0 + Agsnsi 1.0000 1.0000 1.0000 1 + Ps3msgsf 0.5000 1.0000 0.6667 1 + Mlsfpg 1.0000 0.0000 0.0000 1 + Mlcfdg 1.0000 1.0000 1.0000 1 + Agpfdg 1.0000 0.0000 0.0000 1 + Pd-msg 1.0000 1.0000 1.0000 3 + Va-f3d-n 1.0000 1.0000 1.0000 2 + Px-mpg 1.0000 1.0000 1.0000 3 + Agsmpg 1.0000 1.0000 1.0000 3 + Pp3mpi 1.0000 0.6667 0.8000 3 + Ps3msad 1.0000 0.0000 0.0000 1 + Ps3msasf 0.5000 0.5000 0.5000 2 + Pp3mdd--y 1.0000 0.6667 0.8000 3 + Agpmda 1.0000 0.0000 0.0000 1 + Pg-mpn 1.0000 1.0000 1.0000 8 + Npmsi 1.0000 1.0000 1.0000 9 + Vmep-df 1.0000 0.5000 0.6667 2 + Vmep-dm 1.0000 0.7273 0.8421 11 + Vmpu 1.0000 0.3333 0.5000 3 + Aspfsg 1.0000 1.0000 1.0000 3 + Pq-msa 1.0000 0.5000 0.6667 2 + Ps3nsnsm 1.0000 0.3333 0.5000 3 + Pr-nsg 0.5000 1.0000 0.6667 1 + Pg-msn 1.0000 0.6667 0.8000 6 + Px---a--b 1.0000 1.0000 1.0000 1 + Mlpmsnn 1.0000 1.0000 1.0000 2 + Mlpmsd 1.0000 1.0000 1.0000 1 + Ps3fpasm 1.0000 1.0000 1.0000 1 + Vmbp-sn 1.0000 1.0000 1.0000 6 + Agcnsn 1.0000 0.0000 0.0000 1 + Ps3msisf 1.0000 1.0000 1.0000 1 + Mlpmsa 1.0000 1.0000 1.0000 4 + Mlcfdl 1.0000 0.0000 0.0000 1 + Mlcmdl 0.0000 1.0000 0.0000 0 + Ncfdl 1.0000 0.0000 0.0000 2 + Px-msi 1.0000 1.0000 1.0000 2 + Xf 0.7500 0.3750 0.5000 8 + Appnpl 1.0000 0.0000 0.0000 1 + Vmpm1p 1.0000 0.0000 0.0000 1 + Pp3msa--b 1.0000 0.8000 0.8889 5 + Pq-mpg 1.0000 1.0000 1.0000 3 + Vmbp-sm 1.0000 0.6667 0.8000 12 + Vmpr1p-n 1.0000 1.0000 1.0000 4 + Ps3mpnsm 1.0000 1.0000 1.0000 1 + Ps3fsnp 1.0000 1.0000 1.0000 1 + Pi-msn 1.0000 1.0000 1.0000 1 + Pq-fsg 0.6000 1.0000 0.7500 3 + Mlpnsn 1.0000 1.0000 1.0000 2 + Agsnpg 1.0000 0.0000 0.0000 1 + Mlompn 1.0000 1.0000 1.0000 1 + Px-fsg 1.0000 1.0000 1.0000 2 + Ps3fsap 0.3333 1.0000 0.5000 1 + Px---i 1.0000 1.0000 1.0000 4 + Pz-mpg 1.0000 1.0000 1.0000 1 + Pq-fpl 1.0000 0.0000 0.0000 1 + Agcnpg 1.0000 0.0000 0.0000 1 + Agcmpg 0.0000 1.0000 0.0000 0 + Pd-mpg 1.0000 0.6667 0.8000 3 + Pd-npg 0.0000 1.0000 0.0000 0 + Mlpfpn 1.0000 0.5000 0.6667 2 + Npnsl 1.0000 1.0000 1.0000 4 + Va-p-dm 1.0000 0.5000 0.6667 2 + Pg-msi 1.0000 1.0000 1.0000 1 + Px-fpa 1.0000 1.0000 1.0000 3 + Pp3fpg--y 1.0000 0.0000 0.0000 2 + Ps3msap 1.0000 1.0000 1.0000 1 + Pp3msg 0.6667 1.0000 0.8000 2 + Vmpr3p-n 1.0000 1.0000 1.0000 2 + Agsmpn 1.0000 0.5000 0.6667 2 + Va-f1p-n 1.0000 1.0000 1.0000 7 + Pp3nsa--b 0.0000 1.0000 0.0000 0 + Appmpi 0.7500 1.0000 0.8571 3 + Appnpi 1.0000 0.0000 0.0000 3 + Pz-msn 1.0000 1.0000 1.0000 4 + Aspmsd 1.0000 0.0000 0.0000 1 + Pq-msg 0.0000 1.0000 0.0000 0 + Vmer3d 1.0000 1.0000 1.0000 1 + Appmpl 1.0000 0.6667 0.8000 3 + Va-r1s-y 1.0000 1.0000 1.0000 7 + Agcmpl 0.5000 0.5000 0.5000 2 + Ps1mplp 1.0000 0.5000 0.6667 2 + Ps1fplp 0.0000 1.0000 0.0000 0 + Ps1nsnp 1.0000 0.5000 0.6667 2 + Ps2nsnp 0.0000 1.0000 0.0000 0 + Pq-npi 1.0000 0.0000 0.0000 1 + Pq-mpi 0.5000 1.0000 0.6667 1 + Vmer2s 1.0000 1.0000 1.0000 1 + Agsfsl 1.0000 1.0000 1.0000 1 + Ncmdn 1.0000 1.0000 1.0000 3 + Npfsi 1.0000 0.5714 0.7273 7 + Rr 1.0000 1.0000 1.0000 1 + Aspfpn 1.0000 1.0000 1.0000 2 + Pg-mpl 1.0000 1.0000 1.0000 1 + Ps3fpism 1.0000 0.0000 0.0000 1 + Ps3mpism 0.0000 1.0000 0.0000 0 + Npfsd 1.0000 0.0000 0.0000 3 + Ps3msnsf 0.7500 1.0000 0.8571 3 + Pg-fpn 1.0000 1.0000 1.0000 1 + Pp3fsn 1.0000 1.0000 1.0000 1 + Agcmpn 1.0000 1.0000 1.0000 3 + Pp3fpi 0.5000 1.0000 0.6667 1 + Agpnpn 0.2500 0.5000 0.3333 2 + Vmep-pn 1.0000 0.6667 0.8000 3 + Pp3npd--y 1.0000 0.0000 0.0000 1 + Px-fpl 1.0000 1.0000 1.0000 1 + Mlpfpa 0.7500 1.0000 0.8571 3 + Px-nsi 1.0000 1.0000 1.0000 1 + Vmbp-dn 1.0000 0.0000 0.0000 1 + Npmsd 0.5000 1.0000 0.6667 1 + Mlomsl 1.0000 1.0000 1.0000 2 + Vmpr1s-n 1.0000 1.0000 1.0000 1 + Px-nsg 1.0000 0.5000 0.6667 2 + Mlcmpg 1.0000 1.0000 1.0000 2 + Pp1-sg--y 1.0000 1.0000 1.0000 1 + Pp3nsg--y 1.0000 0.0000 0.0000 1 + Pp3msg--y 0.0000 1.0000 0.0000 0 + Vmpr3s-y 1.0000 1.0000 1.0000 3 + Pp1-sa--b 0.6667 1.0000 0.8000 2 + Ps3fsasf 1.0000 1.0000 1.0000 2 + Ps3fplsf 1.0000 0.0000 0.0000 1 + Ps3mplsf 0.0000 1.0000 0.0000 0 + Appfpl 1.0000 0.6667 0.8000 3 + Pp3npl 1.0000 0.0000 0.0000 1 + Mlpfsg 1.0000 1.0000 1.0000 3 + Ps3nslsf 1.0000 1.0000 1.0000 1 + Pg-mdn 1.0000 1.0000 1.0000 2 + Npnsg 0.6667 1.0000 0.8000 2 + Pg-mpd 1.0000 1.0000 1.0000 1 + Va-r2s-n 0.0000 1.0000 0.0000 0 + Mlpnsi 1.0000 0.0000 0.0000 1 + Mlpmsi 0.0000 1.0000 0.0000 0 + Npfpi 1.0000 0.0000 0.0000 1 + Ncfdi 1.0000 1.0000 1.0000 3 + Pr-fpa 1.0000 0.0000 0.0000 1 + Pp1-sd 1.0000 1.0000 1.0000 1 + Va-r1d-n 1.0000 1.0000 1.0000 3 + Pp1-sn 1.0000 1.0000 1.0000 1 + Ps1fsgs 1.0000 0.0000 0.0000 1 + Ps2fsgs 0.0000 1.0000 0.0000 0 + Pi-fpa 0.0000 0.0000 0.0000 1 + Pd-mpn 1.0000 1.0000 1.0000 3 + Pr-msn 1.0000 1.0000 1.0000 2 + Pr-fsa 0.0000 1.0000 0.0000 0 + Npmpi 1.0000 1.0000 1.0000 1 + Appnsa 1.0000 0.5000 0.6667 2 + Pd-fpg 1.0000 1.0000 1.0000 1 + Aspnsa 1.0000 0.0000 0.0000 1 + Appnsi 1.0000 0.0000 0.0000 1 + Pd-nsd 1.0000 1.0000 1.0000 2 + Pg-fda 1.0000 0.0000 0.0000 1 + Ncfda 1.0000 0.0000 0.0000 1 + Ps3fsgp 1.0000 1.0000 1.0000 1 + Pg-mda 1.0000 1.0000 1.0000 2 + Appnsg 1.0000 1.0000 1.0000 2 + Mlonpn 1.0000 0.0000 0.0000 1 + Pg-fsl 1.0000 1.0000 1.0000 3 + Agcfsi 1.0000 1.0000 1.0000 1 + Agsmpd 1.0000 1.0000 1.0000 1 + Ps2msnp 1.0000 1.0000 1.0000 1 + Agcfsa 1.0000 1.0000 1.0000 1 + Mlcfdi 1.0000 1.0000 1.0000 2 + Agpfdi 1.0000 1.0000 1.0000 3 + Pp3fdd--y 0.0000 1.0000 0.0000 0 + Mlpmpi 1.0000 1.0000 1.0000 1 + Pg-npi 1.0000 0.0000 0.0000 1 + Pg-mpi 0.0000 1.0000 0.0000 0 + Pp3fsg--y 1.0000 1.0000 1.0000 1 + Pd-mpl 1.0000 1.0000 1.0000 2 + Pp3fsl 1.0000 1.0000 1.0000 4 + Pz-msg 1.0000 1.0000 1.0000 2 + Ps3fpasf 1.0000 1.0000 1.0000 1 + Pd-mpa 1.0000 1.0000 1.0000 4 + Ps3fsgsf 1.0000 1.0000 1.0000 1 + Ps3mpnp 1.0000 1.0000 1.0000 2 + Mlpmpn 1.0000 1.0000 1.0000 2 + Pp1-pi 1.0000 1.0000 1.0000 1 + Pr-fsl 1.0000 0.0000 0.0000 1 + Appnsd 1.0000 0.0000 0.0000 1 + Agcfpn 1.0000 1.0000 1.0000 1 + Pd-msi 1.0000 1.0000 1.0000 1 + Pp3mpa--b 1.0000 0.0000 0.0000 1 + Pp3npa--b 0.0000 1.0000 0.0000 0 + Aspnsg 1.0000 0.0000 0.0000 3 + Mrc 1.0000 0.5000 0.6667 2 + Mlomsn 1.0000 1.0000 1.0000 3 + Mlpmpa 1.0000 1.0000 1.0000 1 + Ps3msdsf 1.0000 0.0000 0.0000 1 + Px-msd 0.0000 1.0000 0.0000 0 + Vmbp-pf 1.0000 0.0000 0.0000 1 + Pz-fpn 1.0000 0.0000 0.0000 1 + Pz-fsg 0.0000 1.0000 0.0000 0 + Appnpa 0.0000 0.0000 0.0000 1 + Aspmsan 0.5000 1.0000 0.6667 1 + Aspmsi 1.0000 1.0000 1.0000 2 + Ps3nsnsf 1.0000 0.0000 0.0000 1 + Ps3nsasf 0.0000 1.0000 0.0000 0 + Agcmsny 1.0000 1.0000 1.0000 1 + Aspmsl 1.0000 1.0000 1.0000 1 + Pp3mpa 1.0000 0.0000 0.0000 1 + Pp3mdi 1.0000 1.0000 1.0000 1 + Agcfsl 1.0000 1.0000 1.0000 1 + Ps1fpnp 1.0000 1.0000 1.0000 1 + Agcnsg 1.0000 1.0000 1.0000 1 + Aspfsi 1.0000 1.0000 1.0000 1 + Agpnpd 1.0000 1.0000 1.0000 1 + Ncnpd 1.0000 1.0000 1.0000 2 + Vmeu 1.0000 0.0000 0.0000 1 + Ps3nslsm 1.0000 1.0000 1.0000 1 + Agsfsg 1.0000 1.0000 1.0000 2 + Ps2fsap 1.0000 1.0000 1.0000 1 + Npfpa 1.0000 0.0000 0.0000 1 + Pd-mpi 0.5000 1.0000 0.6667 1 + Pq-fpa 1.0000 0.0000 0.0000 1 + Va-r2d-n 1.0000 0.0000 0.0000 1 + Vmpr3d-n 1.0000 1.0000 1.0000 1 + Pp3mda--b 1.0000 0.0000 0.0000 1 + Ps1fpip 1.0000 1.0000 1.0000 1 + Pp3mpg--y 1.0000 1.0000 1.0000 1 + Appmsan 1.0000 1.0000 1.0000 1 + Vmpr1d 1.0000 1.0000 1.0000 1 + Va-p-pn 1.0000 1.0000 1.0000 1 + Pd-fpi 1.0000 0.0000 0.0000 1 + Ps3fpip 1.0000 0.0000 0.0000 1 + Ps3mpip 0.0000 1.0000 0.0000 0 + Ps3msasm 1.0000 1.0000 1.0000 1 + Ps1fsip 1.0000 1.0000 1.0000 1 + Mlcnpi 1.0000 1.0000 1.0000 1 + Ps3mpap 1.0000 1.0000 1.0000 1 + Ps1nsgp 0.0000 0.0000 0.0000 1 + Ps2nsgp 0.0000 1.0000 0.0000 0 + Pq-mpn 1.0000 1.0000 1.0000 1 + Pp3nsg 1.0000 0.0000 0.0000 1 + Ps1fsgp 0.5000 1.0000 0.6667 1 + Ps1fpap 1.0000 0.0000 0.0000 1 + Vmpr3p-y 1.0000 1.0000 1.0000 1 + Pi-npg 1.0000 0.0000 0.0000 1 + Pi-fpg 0.0000 1.0000 0.0000 0 + Ps1msgp 1.0000 0.0000 0.0000 1 + Pg-msg 1.0000 1.0000 1.0000 1 + Pi-nsg 1.0000 0.0000 0.0000 1 + Ps1msnp 1.0000 1.0000 1.0000 1 + Appfsd 1.0000 0.0000 0.0000 1 + Pr-msi 1.0000 0.0000 0.0000 1 + Ps3mslsm 1.0000 1.0000 1.0000 1 + Aspfpg 1.0000 0.0000 0.0000 1 + Aspmpg 0.0000 1.0000 0.0000 0 + Px-mpi 1.0000 1.0000 1.0000 1 + Pp2-sd--y 1.0000 1.0000 1.0000 1 + + accuracy 0.9496 14077 + macro avg 0.8618 0.7800 0.7155 14077 +weighted avg 0.9566 0.9496 0.9472 14077 + +2021-06-20 15:20:25,002 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