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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/log.txt. |
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Loading [94mnlp[0m dataset [94mag_news[0m, split [94mtrain[0m. |
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Loading [94mnlp[0m dataset [94mag_news[0m, split [94mtest[0m. |
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Loaded dataset. Found: 4 labels: ([0, 1, 2, 3]) |
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Loading transformers AutoModelForSequenceClassification: albert-base-v2 |
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Tokenizing training data. (len: 120000) |
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Tokenizing eval data (len: 7600) |
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Loaded data and tokenized in 165.6598937511444s |
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Training model across 4 GPUs |
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***** Running training ***** |
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Num examples = 120000 |
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Batch size = 16 |
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Max sequence length = 128 |
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Num steps = 37500 |
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Num epochs = 5 |
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Learning rate = 2e-05 |
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Eval accuracy: 92.97368421052632% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/. |
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Eval accuracy: 94.03947368421053% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/. |
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Eval accuracy: 94.35526315789474% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/. |
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Eval accuracy: 94.71052631578948% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/. |
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Eval accuracy: 94.47368421052632% |
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fe892860880> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/. |
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/README.md. |
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-ag_news-2020-07-01-02:15/train_args.json. |
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