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/albert-base-v2-glue:qqp-2020-06-30-00:07/log.txt.
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mqqp[0m, split [94mtrain[0m.
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94mqqp[0m, split [94mvalidation[0m.
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Loaded dataset. Found: 2 labels: ([0, 1])
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Loading transformers AutoModelForSequenceClassification: albert-base-v2
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Tokenizing training data. (len: 363849)
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Tokenizing eval data (len: 40430)
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Loaded data and tokenized in 514.5082082748413s
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Training model across 1 GPUs
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***** Running training *****
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Num examples = 363849
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Batch size = 32
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Max sequence length = 128
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Num steps = 56850
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Num epochs = 5
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Learning rate = 5e-05
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Eval accuracy: 87.80361117981697%
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/.
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Eval accuracy: 89.3915409349493%
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/.
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Eval accuracy: 90.29680930002473%
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/.
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Eval accuracy: 90.73707642839476%
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/.
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Eval accuracy: 90.4575810042048%
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fa7b6287970> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/.
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/README.md.
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/train_args.json.
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