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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-16:10/log.txt. |
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Loading [94mnlp[0m dataset [94mrotten_tomatoes[0m, split [94mtrain[0m. |
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Loading [94mnlp[0m dataset [94mrotten_tomatoes[0m, split [94mvalidation[0m. |
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Loaded dataset. Found: 2 labels: ([0, 1]) |
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Loading transformers AutoModelForSequenceClassification: roberta-base |
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Tokenizing training data. (len: 8530) |
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Tokenizing eval data (len: 1066) |
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Loaded data and tokenized in 9.977334022521973s |
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Training model across 4 GPUs |
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***** Running training ***** |
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Num examples = 8530 |
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Batch size = 64 |
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Max sequence length = 128 |
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Num steps = 1330 |
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Num epochs = 10 |
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Learning rate = 2e-05 |
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Eval accuracy: 87.4296435272045% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-16:10/. |
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Eval accuracy: 89.77485928705441% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-16:10/. |
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Eval accuracy: 90.33771106941839% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-16:10/. |
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Eval accuracy: 89.21200750469043% |
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Eval accuracy: 89.49343339587243% |
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Eval accuracy: 89.6810506566604% |
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Eval accuracy: 89.9624765478424% |
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Eval accuracy: 90.0562851782364% |
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Eval accuracy: 89.8686679174484% |
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Eval accuracy: 89.77485928705441% |
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7ff8ebab6be0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-16:10/. |
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-16:10/README.md. |
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-16:10/train_args.json. |
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