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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/log.txt. |
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mwnli[0m, split [94mtrain[0m. |
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mwnli[0m, split [94mvalidation[0m. |
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Loaded dataset. Found: 2 labels: ([0, 1]) |
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Loading transformers AutoModelForSequenceClassification: bert-base-uncased |
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Tokenizing training data. (len: 635) |
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Tokenizing eval data (len: 71) |
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Loaded data and tokenized in 7.102111577987671s |
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Training model across 4 GPUs |
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***** Running training ***** |
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Num examples = 635 |
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Batch size = 64 |
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Max sequence length = 256 |
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Num steps = 45 |
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Num epochs = 5 |
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Learning rate = 5e-05 |
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Eval accuracy: 43.66197183098591% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/. |
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Eval accuracy: 56.33802816901409% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/. |
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Eval accuracy: 23.943661971830984% |
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Eval accuracy: 49.29577464788733% |
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Eval accuracy: 50.70422535211267% |
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fbf6aea2dc0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/. |
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/README.md. |
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/train_args.json. |
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