Update log.txt
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log.txt
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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/log.txt.
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mrte[0m, split [94mtrain[0m.
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mrte[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: 2490)
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Tokenizing eval data (len: 277)
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Loaded data and tokenized in 14.161188840866089s
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Training model across 1 GPUs
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***** Running training *****
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Num examples = 2490
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Batch size = 16
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Max sequence length = 128
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Num steps = 775
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Num epochs = 5
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Learning rate = 2e-05
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Eval accuracy: 54.151624548736464%
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/.
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Eval accuracy: 66.06498194945848%
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/.
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Eval accuracy: 65.70397111913357%
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Eval accuracy: 71.11913357400722%
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/.
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Eval accuracy: 71.11913357400722%
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fd4a0851e80> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/.
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/README.md.
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/train_args.json.
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