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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:mrpc-2020-06-29-12:04/log.txt. |
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mmrpc[0m, split [94mtrain[0m. |
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mmrpc[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: 3668) |
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Tokenizing eval data (len: 408) |
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Loaded data and tokenized in 12.476295709609985s |
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Training model across 4 GPUs |
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***** Running training ***** |
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Num examples = 3668 |
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Batch size = 16 |
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Max sequence length = 256 |
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Num steps = 1145 |
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Num epochs = 5 |
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Learning rate = 2e-05 |
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Eval accuracy: 84.31372549019608% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:mrpc-2020-06-29-12:04/. |
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Eval accuracy: 87.74509803921569% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:mrpc-2020-06-29-12:04/. |
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Eval accuracy: 86.02941176470588% |
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Eval accuracy: 85.7843137254902% |
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Eval accuracy: 85.04901960784314% |
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f3a1d1a5d00> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:mrpc-2020-06-29-12:04/. |
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:mrpc-2020-06-29-12:04/README.md. |
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:mrpc-2020-06-29-12:04/train_args.json. |
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