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Update log.txt

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+ Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:cola-2020-06-29-01:49/log.txt.
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+ Loading nlp dataset glue, subset cola, split train.
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+ Loading nlp dataset glue, subset cola, split validation.
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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: 8551)
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+ Tokenizing eval data (len: 1043)
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+ Loaded data and tokenized in 21.12540578842163s
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+ Training model across 1 GPUs
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+ ***** Running training *****
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+ Num examples = 8551
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+ Batch size = 32
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+ Max sequence length = 128
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+ Num steps = 1335
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+ Num epochs = 5
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+ Learning rate = 3e-05
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+ Eval accuracy: 75.26366251198466%
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+ Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:cola-2020-06-29-01:49/.
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+ Eval accuracy: 80.72866730584852%
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+ Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:cola-2020-06-29-01:49/.
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+ Eval accuracy: 82.45445829338448%
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+ Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:cola-2020-06-29-01:49/.
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+ Eval accuracy: 81.39980824544583%
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+ Eval accuracy: 81.01629913710451%
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+ Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f52294d2ca0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:cola-2020-06-29-01:49/.
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+ Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:cola-2020-06-29-01:49/README.md.
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+ Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:cola-2020-06-29-01:49/train_args.json.