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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-29-05:32/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: xlnet-base-cased |
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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 19.84232258796692s |
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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 = 16 |
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Max sequence length = 128 |
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Num steps = 2665 |
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Num epochs = 5 |
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Learning rate = 2e-05 |
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Eval accuracy: 88.83677298311444% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-29-05:32/. |
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Eval accuracy: 89.21200750469043% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-29-05:32/. |
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Eval accuracy: 90.71294559099438% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-29-05:32/. |
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Eval accuracy: 89.6810506566604% |
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Eval accuracy: 89.6810506566604% |
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fc1083fcb50> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-29-05:32/. |
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-29-05:32/README.md. |
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-29-05:32/train_args.json. |
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