350 lines
29 KiB
Plaintext
350 lines
29 KiB
Plaintext
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2022-06-08 12:31:41,621 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:31:41,621 Model: "SequenceTagger(
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(embeddings): StackedEmbeddings(
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(list_embedding_0): WordEmbeddings('pl')
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(list_embedding_1): FlairEmbeddings(
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(lm): LanguageModel(
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(drop): Dropout(p=0.25, inplace=False)
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(encoder): Embedding(1602, 100)
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(rnn): LSTM(100, 2048)
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(decoder): Linear(in_features=2048, out_features=1602, bias=True)
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)
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)
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(list_embedding_2): FlairEmbeddings(
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(lm): LanguageModel(
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(drop): Dropout(p=0.25, inplace=False)
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(encoder): Embedding(1602, 100)
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(rnn): LSTM(100, 2048)
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(decoder): Linear(in_features=2048, out_features=1602, bias=True)
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)
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)
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(list_embedding_3): CharacterEmbeddings(
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(char_embedding): Embedding(275, 25)
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(char_rnn): LSTM(25, 25, bidirectional=True)
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)
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)
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(word_dropout): WordDropout(p=0.05)
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(locked_dropout): LockedDropout(p=0.5)
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(embedding2nn): Linear(in_features=4446, out_features=4446, bias=True)
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(rnn): LSTM(4446, 512, batch_first=True, bidirectional=True)
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(linear): Linear(in_features=1024, out_features=29, bias=True)
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(beta): 1.0
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(weights): None
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(weight_tensor) None
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)"
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2022-06-08 12:31:41,621 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:31:41,621 Corpus: "Corpus: 257 train + 28 dev + 285 test sentences"
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2022-06-08 12:31:41,621 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:31:41,621 Parameters:
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2022-06-08 12:31:41,621 - learning_rate: "0.1"
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2022-06-08 12:31:41,621 - mini_batch_size: "32"
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2022-06-08 12:31:41,621 - patience: "3"
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2022-06-08 12:31:41,621 - anneal_factor: "0.5"
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2022-06-08 12:31:41,621 - max_epochs: "20"
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2022-06-08 12:31:41,621 - shuffle: "True"
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2022-06-08 12:31:41,621 - train_with_dev: "True"
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2022-06-08 12:31:41,621 - batch_growth_annealing: "False"
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2022-06-08 12:31:41,621 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:31:41,621 Model training base path: "slot-model-pl"
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2022-06-08 12:31:41,621 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:31:41,621 Device: cpu
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2022-06-08 12:31:41,621 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:31:41,621 Embeddings storage mode: cpu
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2022-06-08 12:31:41,622 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:31:46,029 epoch 1 - iter 1/9 - loss 3.53092505 - samples/sec: 7.26 - lr: 0.100000
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2022-06-08 12:31:48,148 epoch 1 - iter 2/9 - loss 3.28223744 - samples/sec: 15.10 - lr: 0.100000
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2022-06-08 12:31:50,661 epoch 1 - iter 3/9 - loss 2.76742561 - samples/sec: 12.73 - lr: 0.100000
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2022-06-08 12:31:52,558 epoch 1 - iter 4/9 - loss 2.53094379 - samples/sec: 16.87 - lr: 0.100000
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2022-06-08 12:31:54,728 epoch 1 - iter 5/9 - loss 2.46356121 - samples/sec: 14.75 - lr: 0.100000
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2022-06-08 12:31:56,671 epoch 1 - iter 6/9 - loss 2.29996612 - samples/sec: 16.48 - lr: 0.100000
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2022-06-08 12:31:59,234 epoch 1 - iter 7/9 - loss 2.13210413 - samples/sec: 12.48 - lr: 0.100000
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2022-06-08 12:32:01,032 epoch 1 - iter 8/9 - loss 2.00977425 - samples/sec: 17.80 - lr: 0.100000
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2022-06-08 12:32:02,765 epoch 1 - iter 9/9 - loss 1.96897361 - samples/sec: 18.47 - lr: 0.100000
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2022-06-08 12:32:02,765 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:02,765 EPOCH 1 done: loss 1.9690 - lr 0.1000000
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2022-06-08 12:32:02,765 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:02,766 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:03,476 epoch 2 - iter 1/9 - loss 1.13049648 - samples/sec: 45.10 - lr: 0.100000
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2022-06-08 12:32:03,903 epoch 2 - iter 2/9 - loss 1.25789759 - samples/sec: 75.01 - lr: 0.100000
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2022-06-08 12:32:04,434 epoch 2 - iter 3/9 - loss 1.22197871 - samples/sec: 60.37 - lr: 0.100000
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2022-06-08 12:32:04,835 epoch 2 - iter 4/9 - loss 1.16841447 - samples/sec: 79.95 - lr: 0.100000
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2022-06-08 12:32:05,316 epoch 2 - iter 5/9 - loss 1.16483816 - samples/sec: 66.46 - lr: 0.100000
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2022-06-08 12:32:05,801 epoch 2 - iter 6/9 - loss 1.08971261 - samples/sec: 66.12 - lr: 0.100000
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2022-06-08 12:32:06,195 epoch 2 - iter 7/9 - loss 1.03693444 - samples/sec: 81.21 - lr: 0.100000
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2022-06-08 12:32:06,644 epoch 2 - iter 8/9 - loss 1.07878369 - samples/sec: 71.44 - lr: 0.100000
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2022-06-08 12:32:07,111 epoch 2 - iter 9/9 - loss 1.05801050 - samples/sec: 68.48 - lr: 0.100000
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2022-06-08 12:32:07,112 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:07,112 EPOCH 2 done: loss 1.0580 - lr 0.1000000
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2022-06-08 12:32:07,112 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:07,112 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:07,549 epoch 3 - iter 1/9 - loss 0.99441444 - samples/sec: 73.34 - lr: 0.100000
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2022-06-08 12:32:07,937 epoch 3 - iter 2/9 - loss 0.82194135 - samples/sec: 82.38 - lr: 0.100000
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2022-06-08 12:32:08,448 epoch 3 - iter 3/9 - loss 0.89983319 - samples/sec: 62.70 - lr: 0.100000
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2022-06-08 12:32:08,879 epoch 3 - iter 4/9 - loss 0.97584199 - samples/sec: 74.36 - lr: 0.100000
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2022-06-08 12:32:09,398 epoch 3 - iter 5/9 - loss 0.98664173 - samples/sec: 61.73 - lr: 0.100000
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2022-06-08 12:32:09,824 epoch 3 - iter 6/9 - loss 0.99321442 - samples/sec: 75.04 - lr: 0.100000
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2022-06-08 12:32:10,473 epoch 3 - iter 7/9 - loss 0.94558628 - samples/sec: 49.32 - lr: 0.100000
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2022-06-08 12:32:10,978 epoch 3 - iter 8/9 - loss 0.93600205 - samples/sec: 63.42 - lr: 0.100000
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2022-06-08 12:32:11,418 epoch 3 - iter 9/9 - loss 0.92674317 - samples/sec: 72.88 - lr: 0.100000
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2022-06-08 12:32:11,418 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:11,418 EPOCH 3 done: loss 0.9267 - lr 0.1000000
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2022-06-08 12:32:11,419 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:11,419 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:11,853 epoch 4 - iter 1/9 - loss 0.91832127 - samples/sec: 73.79 - lr: 0.100000
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2022-06-08 12:32:12,372 epoch 4 - iter 2/9 - loss 0.74006183 - samples/sec: 61.71 - lr: 0.100000
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2022-06-08 12:32:12,874 epoch 4 - iter 3/9 - loss 0.68836276 - samples/sec: 63.77 - lr: 0.100000
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2022-06-08 12:32:13,296 epoch 4 - iter 4/9 - loss 0.83504161 - samples/sec: 75.91 - lr: 0.100000
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2022-06-08 12:32:13,973 epoch 4 - iter 5/9 - loss 0.75973124 - samples/sec: 47.27 - lr: 0.100000
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2022-06-08 12:32:14,482 epoch 4 - iter 6/9 - loss 0.80884847 - samples/sec: 62.96 - lr: 0.100000
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2022-06-08 12:32:15,009 epoch 4 - iter 7/9 - loss 0.80230532 - samples/sec: 60.74 - lr: 0.100000
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2022-06-08 12:32:15,493 epoch 4 - iter 8/9 - loss 0.79063920 - samples/sec: 66.16 - lr: 0.100000
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2022-06-08 12:32:15,984 epoch 4 - iter 9/9 - loss 0.79269722 - samples/sec: 65.18 - lr: 0.100000
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2022-06-08 12:32:15,986 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:15,986 EPOCH 4 done: loss 0.7927 - lr 0.1000000
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2022-06-08 12:32:15,986 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:15,987 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:16,497 epoch 5 - iter 1/9 - loss 0.82565074 - samples/sec: 62.76 - lr: 0.100000
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2022-06-08 12:32:17,186 epoch 5 - iter 2/9 - loss 0.59513923 - samples/sec: 46.46 - lr: 0.100000
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2022-06-08 12:32:17,613 epoch 5 - iter 3/9 - loss 0.57884253 - samples/sec: 75.17 - lr: 0.100000
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2022-06-08 12:32:18,116 epoch 5 - iter 4/9 - loss 0.57740939 - samples/sec: 63.57 - lr: 0.100000
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2022-06-08 12:32:18,666 epoch 5 - iter 5/9 - loss 0.58957181 - samples/sec: 58.30 - lr: 0.100000
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2022-06-08 12:32:19,100 epoch 5 - iter 6/9 - loss 0.65262207 - samples/sec: 73.77 - lr: 0.100000
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2022-06-08 12:32:19,483 epoch 5 - iter 7/9 - loss 0.69092686 - samples/sec: 83.63 - lr: 0.100000
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2022-06-08 12:32:20,002 epoch 5 - iter 8/9 - loss 0.68317870 - samples/sec: 61.71 - lr: 0.100000
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2022-06-08 12:32:20,435 epoch 5 - iter 9/9 - loss 0.70337522 - samples/sec: 73.87 - lr: 0.100000
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2022-06-08 12:32:20,436 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:20,436 EPOCH 5 done: loss 0.7034 - lr 0.1000000
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2022-06-08 12:32:20,436 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:20,436 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:20,882 epoch 6 - iter 1/9 - loss 1.03175259 - samples/sec: 71.80 - lr: 0.100000
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2022-06-08 12:32:21,369 epoch 6 - iter 2/9 - loss 0.86526726 - samples/sec: 65.76 - lr: 0.100000
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2022-06-08 12:32:21,872 epoch 6 - iter 3/9 - loss 0.74045897 - samples/sec: 63.72 - lr: 0.100000
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2022-06-08 12:32:22,573 epoch 6 - iter 4/9 - loss 0.58234262 - samples/sec: 45.65 - lr: 0.100000
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2022-06-08 12:32:23,105 epoch 6 - iter 5/9 - loss 0.59896642 - samples/sec: 60.20 - lr: 0.100000
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2022-06-08 12:32:23,486 epoch 6 - iter 6/9 - loss 0.62850347 - samples/sec: 84.13 - lr: 0.100000
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2022-06-08 12:32:23,929 epoch 6 - iter 7/9 - loss 0.60722084 - samples/sec: 72.25 - lr: 0.100000
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2022-06-08 12:32:24,461 epoch 6 - iter 8/9 - loss 0.61184406 - samples/sec: 60.24 - lr: 0.100000
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2022-06-08 12:32:24,870 epoch 6 - iter 9/9 - loss 0.62090710 - samples/sec: 78.39 - lr: 0.100000
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2022-06-08 12:32:24,870 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:24,870 EPOCH 6 done: loss 0.6209 - lr 0.1000000
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2022-06-08 12:32:24,870 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:24,870 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:25,393 epoch 7 - iter 1/9 - loss 0.42996832 - samples/sec: 61.22 - lr: 0.100000
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2022-06-08 12:32:25,811 epoch 7 - iter 2/9 - loss 0.47978256 - samples/sec: 76.70 - lr: 0.100000
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2022-06-08 12:32:26,337 epoch 7 - iter 3/9 - loss 0.46259552 - samples/sec: 60.82 - lr: 0.100000
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2022-06-08 12:32:26,836 epoch 7 - iter 4/9 - loss 0.52414271 - samples/sec: 64.29 - lr: 0.100000
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2022-06-08 12:32:27,271 epoch 7 - iter 5/9 - loss 0.56707858 - samples/sec: 73.59 - lr: 0.100000
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2022-06-08 12:32:27,702 epoch 7 - iter 6/9 - loss 0.58077874 - samples/sec: 74.19 - lr: 0.100000
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2022-06-08 12:32:28,106 epoch 7 - iter 7/9 - loss 0.58184246 - samples/sec: 79.34 - lr: 0.100000
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2022-06-08 12:32:28,506 epoch 7 - iter 8/9 - loss 0.63482697 - samples/sec: 80.11 - lr: 0.100000
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2022-06-08 12:32:29,129 epoch 7 - iter 9/9 - loss 0.61201910 - samples/sec: 51.41 - lr: 0.100000
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2022-06-08 12:32:29,129 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:29,129 EPOCH 7 done: loss 0.6120 - lr 0.1000000
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2022-06-08 12:32:29,129 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:29,130 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:29,639 epoch 8 - iter 1/9 - loss 0.64527700 - samples/sec: 62.87 - lr: 0.100000
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2022-06-08 12:32:30,032 epoch 8 - iter 2/9 - loss 0.54730425 - samples/sec: 81.42 - lr: 0.100000
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2022-06-08 12:32:30,513 epoch 8 - iter 3/9 - loss 0.50647674 - samples/sec: 66.58 - lr: 0.100000
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2022-06-08 12:32:30,978 epoch 8 - iter 4/9 - loss 0.49661767 - samples/sec: 68.95 - lr: 0.100000
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2022-06-08 12:32:31,669 epoch 8 - iter 5/9 - loss 0.53143074 - samples/sec: 46.32 - lr: 0.100000
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2022-06-08 12:32:32,219 epoch 8 - iter 6/9 - loss 0.52587329 - samples/sec: 58.26 - lr: 0.100000
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2022-06-08 12:32:32,675 epoch 8 - iter 7/9 - loss 0.54822063 - samples/sec: 70.17 - lr: 0.100000
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2022-06-08 12:32:33,098 epoch 8 - iter 8/9 - loss 0.54919305 - samples/sec: 75.80 - lr: 0.100000
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2022-06-08 12:32:33,467 epoch 8 - iter 9/9 - loss 0.54912585 - samples/sec: 86.62 - lr: 0.100000
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2022-06-08 12:32:33,468 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:33,468 EPOCH 8 done: loss 0.5491 - lr 0.1000000
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2022-06-08 12:32:33,468 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:33,468 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:33,969 epoch 9 - iter 1/9 - loss 0.47611675 - samples/sec: 63.93 - lr: 0.100000
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2022-06-08 12:32:34,369 epoch 9 - iter 2/9 - loss 0.47816365 - samples/sec: 80.02 - lr: 0.100000
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2022-06-08 12:32:34,822 epoch 9 - iter 3/9 - loss 0.58236918 - samples/sec: 70.75 - lr: 0.100000
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2022-06-08 12:32:35,283 epoch 9 - iter 4/9 - loss 0.51142342 - samples/sec: 69.48 - lr: 0.100000
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2022-06-08 12:32:35,815 epoch 9 - iter 5/9 - loss 0.51114643 - samples/sec: 60.22 - lr: 0.100000
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2022-06-08 12:32:36,253 epoch 9 - iter 6/9 - loss 0.49820023 - samples/sec: 72.98 - lr: 0.100000
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2022-06-08 12:32:36,688 epoch 9 - iter 7/9 - loss 0.46126831 - samples/sec: 73.70 - lr: 0.100000
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2022-06-08 12:32:37,182 epoch 9 - iter 8/9 - loss 0.48042074 - samples/sec: 64.86 - lr: 0.100000
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2022-06-08 12:32:37,814 epoch 9 - iter 9/9 - loss 0.49285321 - samples/sec: 50.63 - lr: 0.100000
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2022-06-08 12:32:37,815 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:37,815 EPOCH 9 done: loss 0.4929 - lr 0.1000000
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2022-06-08 12:32:37,815 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:37,815 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:38,267 epoch 10 - iter 1/9 - loss 0.31153137 - samples/sec: 70.80 - lr: 0.100000
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2022-06-08 12:32:38,941 epoch 10 - iter 2/9 - loss 0.30746583 - samples/sec: 47.54 - lr: 0.100000
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2022-06-08 12:32:39,417 epoch 10 - iter 3/9 - loss 0.38094732 - samples/sec: 67.21 - lr: 0.100000
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2022-06-08 12:32:39,823 epoch 10 - iter 4/9 - loss 0.36053228 - samples/sec: 78.95 - lr: 0.100000
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2022-06-08 12:32:40,308 epoch 10 - iter 5/9 - loss 0.37448425 - samples/sec: 66.09 - lr: 0.100000
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2022-06-08 12:32:40,850 epoch 10 - iter 6/9 - loss 0.40578274 - samples/sec: 59.06 - lr: 0.100000
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2022-06-08 12:32:41,328 epoch 10 - iter 7/9 - loss 0.44711766 - samples/sec: 67.00 - lr: 0.100000
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2022-06-08 12:32:41,810 epoch 10 - iter 8/9 - loss 0.45301928 - samples/sec: 66.43 - lr: 0.100000
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2022-06-08 12:32:42,189 epoch 10 - iter 9/9 - loss 0.46390399 - samples/sec: 84.59 - lr: 0.100000
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2022-06-08 12:32:42,189 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:42,190 EPOCH 10 done: loss 0.4639 - lr 0.1000000
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2022-06-08 12:32:42,191 BAD EPOCHS (no improvement): 0
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2022-06-08 12:32:42,191 ----------------------------------------------------------------------------------------------------
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2022-06-08 12:32:42,844 epoch 11 - iter 1/9 - loss 0.48031266 - samples/sec: 49.03 - lr: 0.100000
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2022-06-08 12:32:43,380 epoch 11 - iter 2/9 - loss 0.55838617 - samples/sec: 59.71 - lr: 0.100000
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2022-06-08 12:32:43,869 epoch 11 - iter 3/9 - loss 0.50382959 - samples/sec: 65.58 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:44,341 epoch 11 - iter 4/9 - loss 0.45667103 - samples/sec: 67.85 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:44,834 epoch 11 - iter 5/9 - loss 0.42142408 - samples/sec: 64.96 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:45,240 epoch 11 - iter 6/9 - loss 0.40860629 - samples/sec: 78.90 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:45,728 epoch 11 - iter 7/9 - loss 0.42365533 - samples/sec: 65.63 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:46,154 epoch 11 - iter 8/9 - loss 0.40978381 - samples/sec: 75.23 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:46,591 epoch 11 - iter 9/9 - loss 0.41781582 - samples/sec: 73.25 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:46,591 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:46,592 EPOCH 11 done: loss 0.4178 - lr 0.1000000
|
||
|
|
2022-06-08 12:32:46,592 BAD EPOCHS (no improvement): 0
|
||
|
|
2022-06-08 12:32:46,592 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:46,988 epoch 12 - iter 1/9 - loss 0.54559433 - samples/sec: 80.81 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:47,441 epoch 12 - iter 2/9 - loss 0.44864207 - samples/sec: 70.71 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:47,932 epoch 12 - iter 3/9 - loss 0.52948530 - samples/sec: 65.17 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:48,336 epoch 12 - iter 4/9 - loss 0.48952658 - samples/sec: 79.33 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:48,776 epoch 12 - iter 5/9 - loss 0.48488877 - samples/sec: 72.86 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:49,267 epoch 12 - iter 6/9 - loss 0.43026232 - samples/sec: 65.19 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:49,951 epoch 12 - iter 7/9 - loss 0.38224156 - samples/sec: 46.77 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:50,441 epoch 12 - iter 8/9 - loss 0.40093438 - samples/sec: 65.47 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:50,855 epoch 12 - iter 9/9 - loss 0.41922607 - samples/sec: 77.23 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:50,856 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:50,856 EPOCH 12 done: loss 0.4192 - lr 0.1000000
|
||
|
|
2022-06-08 12:32:50,856 BAD EPOCHS (no improvement): 1
|
||
|
|
2022-06-08 12:32:50,856 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:51,536 epoch 13 - iter 1/9 - loss 0.31159168 - samples/sec: 47.05 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:51,957 epoch 13 - iter 2/9 - loss 0.38716744 - samples/sec: 76.12 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:52,341 epoch 13 - iter 3/9 - loss 0.33405638 - samples/sec: 83.50 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:52,738 epoch 13 - iter 4/9 - loss 0.35984076 - samples/sec: 80.66 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:53,234 epoch 13 - iter 5/9 - loss 0.36767183 - samples/sec: 64.53 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:53,689 epoch 13 - iter 6/9 - loss 0.38457662 - samples/sec: 70.42 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:54,193 epoch 13 - iter 7/9 - loss 0.38993635 - samples/sec: 63.51 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:54,716 epoch 13 - iter 8/9 - loss 0.39294463 - samples/sec: 61.29 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:55,067 epoch 13 - iter 9/9 - loss 0.37855191 - samples/sec: 91.24 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:55,067 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:55,068 EPOCH 13 done: loss 0.3786 - lr 0.1000000
|
||
|
|
2022-06-08 12:32:55,068 BAD EPOCHS (no improvement): 0
|
||
|
|
2022-06-08 12:32:55,068 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:55,451 epoch 14 - iter 1/9 - loss 0.30355526 - samples/sec: 83.48 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:55,990 epoch 14 - iter 2/9 - loss 0.33328859 - samples/sec: 59.41 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:56,492 epoch 14 - iter 3/9 - loss 0.30427931 - samples/sec: 63.88 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:56,949 epoch 14 - iter 4/9 - loss 0.37132272 - samples/sec: 70.11 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:57,337 epoch 14 - iter 5/9 - loss 0.35030109 - samples/sec: 82.49 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:58,016 epoch 14 - iter 6/9 - loss 0.32296200 - samples/sec: 47.16 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:58,529 epoch 14 - iter 7/9 - loss 0.35116036 - samples/sec: 62.40 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:58,943 epoch 14 - iter 8/9 - loss 0.35482794 - samples/sec: 77.42 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:59,298 epoch 14 - iter 9/9 - loss 0.35575370 - samples/sec: 90.24 - lr: 0.100000
|
||
|
|
2022-06-08 12:32:59,298 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:59,298 EPOCH 14 done: loss 0.3558 - lr 0.1000000
|
||
|
|
2022-06-08 12:32:59,298 BAD EPOCHS (no improvement): 0
|
||
|
|
2022-06-08 12:32:59,298 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:32:59,776 epoch 15 - iter 1/9 - loss 0.31286285 - samples/sec: 67.00 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:00,275 epoch 15 - iter 2/9 - loss 0.25396872 - samples/sec: 64.25 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:00,963 epoch 15 - iter 3/9 - loss 0.22052628 - samples/sec: 46.56 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:01,477 epoch 15 - iter 4/9 - loss 0.23660956 - samples/sec: 62.21 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:01,912 epoch 15 - iter 5/9 - loss 0.29349516 - samples/sec: 73.75 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:02,342 epoch 15 - iter 6/9 - loss 0.34446268 - samples/sec: 74.46 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:02,820 epoch 15 - iter 7/9 - loss 0.35994147 - samples/sec: 66.98 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:03,333 epoch 15 - iter 8/9 - loss 0.34855257 - samples/sec: 62.40 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:03,743 epoch 15 - iter 9/9 - loss 0.35364645 - samples/sec: 78.20 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:03,743 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:03,743 EPOCH 15 done: loss 0.3536 - lr 0.1000000
|
||
|
|
2022-06-08 12:33:03,743 BAD EPOCHS (no improvement): 0
|
||
|
|
2022-06-08 12:33:03,744 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:04,126 epoch 16 - iter 1/9 - loss 0.28729343 - samples/sec: 83.81 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:04,639 epoch 16 - iter 2/9 - loss 0.33799034 - samples/sec: 62.41 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:05,003 epoch 16 - iter 3/9 - loss 0.34162027 - samples/sec: 87.98 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:05,484 epoch 16 - iter 4/9 - loss 0.30522357 - samples/sec: 66.58 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:05,974 epoch 16 - iter 5/9 - loss 0.28432292 - samples/sec: 65.29 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:06,658 epoch 16 - iter 6/9 - loss 0.28570045 - samples/sec: 46.81 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:07,177 epoch 16 - iter 7/9 - loss 0.28308125 - samples/sec: 61.78 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:07,661 epoch 16 - iter 8/9 - loss 0.30916664 - samples/sec: 66.19 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:08,080 epoch 16 - iter 9/9 - loss 0.32331857 - samples/sec: 76.39 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:08,080 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:08,080 EPOCH 16 done: loss 0.3233 - lr 0.1000000
|
||
|
|
2022-06-08 12:33:08,080 BAD EPOCHS (no improvement): 0
|
||
|
|
2022-06-08 12:33:08,081 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:08,453 epoch 17 - iter 1/9 - loss 0.30244277 - samples/sec: 85.97 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:08,945 epoch 17 - iter 2/9 - loss 0.25602389 - samples/sec: 65.03 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:09,369 epoch 17 - iter 3/9 - loss 0.34607508 - samples/sec: 75.65 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:09,829 epoch 17 - iter 4/9 - loss 0.34229970 - samples/sec: 69.56 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:10,280 epoch 17 - iter 5/9 - loss 0.31807536 - samples/sec: 71.11 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:10,812 epoch 17 - iter 6/9 - loss 0.31284894 - samples/sec: 60.11 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:11,290 epoch 17 - iter 7/9 - loss 0.31391356 - samples/sec: 67.03 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:11,756 epoch 17 - iter 8/9 - loss 0.30151306 - samples/sec: 68.68 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:12,391 epoch 17 - iter 9/9 - loss 0.28364693 - samples/sec: 50.46 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:12,391 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:12,391 EPOCH 17 done: loss 0.2836 - lr 0.1000000
|
||
|
|
2022-06-08 12:33:12,391 BAD EPOCHS (no improvement): 0
|
||
|
|
2022-06-08 12:33:12,392 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:12,752 epoch 18 - iter 1/9 - loss 0.20885737 - samples/sec: 88.87 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:13,431 epoch 18 - iter 2/9 - loss 0.22186524 - samples/sec: 47.12 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:13,900 epoch 18 - iter 3/9 - loss 0.27817430 - samples/sec: 68.35 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:14,432 epoch 18 - iter 4/9 - loss 0.30294052 - samples/sec: 60.15 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:14,804 epoch 18 - iter 5/9 - loss 0.30746071 - samples/sec: 86.18 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:15,281 epoch 18 - iter 6/9 - loss 0.33365668 - samples/sec: 67.16 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:15,739 epoch 18 - iter 7/9 - loss 0.31930171 - samples/sec: 69.94 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:16,182 epoch 18 - iter 8/9 - loss 0.29281456 - samples/sec: 72.28 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:16,668 epoch 18 - iter 9/9 - loss 0.28747182 - samples/sec: 65.85 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:16,669 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:16,669 EPOCH 18 done: loss 0.2875 - lr 0.1000000
|
||
|
|
2022-06-08 12:33:16,669 BAD EPOCHS (no improvement): 1
|
||
|
|
2022-06-08 12:33:16,669 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:17,046 epoch 19 - iter 1/9 - loss 0.24014797 - samples/sec: 84.92 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:17,738 epoch 19 - iter 2/9 - loss 0.22314876 - samples/sec: 46.25 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:18,166 epoch 19 - iter 3/9 - loss 0.25412370 - samples/sec: 74.96 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:18,669 epoch 19 - iter 4/9 - loss 0.26213705 - samples/sec: 63.69 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:19,187 epoch 19 - iter 5/9 - loss 0.22226194 - samples/sec: 61.81 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:19,676 epoch 19 - iter 6/9 - loss 0.22840251 - samples/sec: 65.48 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:20,051 epoch 19 - iter 7/9 - loss 0.23390501 - samples/sec: 85.35 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:20,499 epoch 19 - iter 8/9 - loss 0.23054385 - samples/sec: 71.55 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:20,928 epoch 19 - iter 9/9 - loss 0.23232295 - samples/sec: 74.69 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:20,928 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:20,928 EPOCH 19 done: loss 0.2323 - lr 0.1000000
|
||
|
|
2022-06-08 12:33:20,928 BAD EPOCHS (no improvement): 0
|
||
|
|
2022-06-08 12:33:20,928 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:21,405 epoch 20 - iter 1/9 - loss 0.25521260 - samples/sec: 67.18 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:21,948 epoch 20 - iter 2/9 - loss 0.24103518 - samples/sec: 58.94 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:22,439 epoch 20 - iter 3/9 - loss 0.20574912 - samples/sec: 65.28 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:23,081 epoch 20 - iter 4/9 - loss 0.20291896 - samples/sec: 49.89 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:23,505 epoch 20 - iter 5/9 - loss 0.21600028 - samples/sec: 75.44 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:23,925 epoch 20 - iter 6/9 - loss 0.22897579 - samples/sec: 76.29 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:24,419 epoch 20 - iter 7/9 - loss 0.21609014 - samples/sec: 64.82 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:24,854 epoch 20 - iter 8/9 - loss 0.23529377 - samples/sec: 73.66 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:25,240 epoch 20 - iter 9/9 - loss 0.23821406 - samples/sec: 82.98 - lr: 0.100000
|
||
|
|
2022-06-08 12:33:25,240 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:25,240 EPOCH 20 done: loss 0.2382 - lr 0.1000000
|
||
|
|
2022-06-08 12:33:25,240 BAD EPOCHS (no improvement): 1
|
||
|
|
2022-06-08 12:33:49,710 ----------------------------------------------------------------------------------------------------
|
||
|
|
2022-06-08 12:33:49,717 Testing using last state of model ...
|
||
|
|
2022-06-08 12:34:10,642 0.7471 0.8089 0.7768 0.6791
|
||
|
|
2022-06-08 12:34:10,642
|
||
|
|
Results:
|
||
|
|
- F-score (micro) 0.7768
|
||
|
|
- F-score (macro) 0.451
|
||
|
|
- Accuracy 0.6791
|
||
|
|
|
||
|
|
By class:
|
||
|
|
precision recall f1-score support
|
||
|
|
|
||
|
|
movie 0.7241 0.9130 0.8077 23
|
||
|
|
quantity 0.6923 0.9474 0.8000 19
|
||
|
|
seat 0.7222 0.7647 0.7429 17
|
||
|
|
tickettype 0.7000 1.0000 0.8235 14
|
||
|
|
hour 0.9333 0.8750 0.9032 16
|
||
|
|
date 0.6667 0.7143 0.6897 14
|
||
|
|
e-mail 0.8000 1.0000 0.8889 12
|
||
|
|
name 1.0000 1.0000 1.0000 13
|
||
|
|
row 0.5000 0.4286 0.4615 14
|
||
|
|
phone 1.0000 1.0000 1.0000 6
|
||
|
|
ticketType 0.0000 0.0000 0.0000 2
|
||
|
|
issue 0.0000 0.0000 0.0000 1
|
||
|
|
bankAccountNumber 0.0000 0.0000 0.0000 1
|
||
|
|
email 0.0000 0.0000 0.0000 1
|
||
|
|
itickettype 0.0000 0.0000 0.0000 1
|
||
|
|
details 0.0000 0.0000 0.0000 1
|
||
|
|
purchaseType 0.0000 0.0000 0.0000 1
|
||
|
|
genre 0.0000 0.0000 0.0000 1
|
||
|
|
|
||
|
|
micro avg 0.7471 0.8089 0.7768 157
|
||
|
|
macro avg 0.4299 0.4802 0.4510 157
|
||
|
|
weighted avg 0.7118 0.8089 0.7527 157
|
||
|
|
samples avg 0.6791 0.6791 0.6791 157
|
||
|
|
|
||
|
|
2022-06-08 12:34:10,642 ----------------------------------------------------------------------------------------------------
|