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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:cola-2020-06-29-12:03/log.txt.
Loading nlp dataset glue, subset cola, split train.
Loading nlp dataset glue, subset cola, split validation.
Loaded dataset. Found: 2 labels: ([0, 1])
Loading transformers AutoModelForSequenceClassification: distilbert-base-uncased
Tokenizing training data. (len: 8551)
Tokenizing eval data (len: 1043)
Loaded data and tokenized in 16.85510802268982s
Training model across 4 GPUs
***** Running training *****
Num examples = 8551
Batch size = 64
Max sequence length = 128
Num steps = 665
Num epochs = 5
Learning rate = 3e-05
Eval accuracy: 77.75647171620325%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:cola-2020-06-29-12:03/.
Eval accuracy: 79.86577181208054%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:cola-2020-06-29-12:03/.
Eval accuracy: 82.35858101629914%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:cola-2020-06-29-12:03/.
Eval accuracy: 82.35858101629914%
Eval accuracy: 82.16682646212847%
Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f46558860d0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:cola-2020-06-29-12:03/.
Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:cola-2020-06-29-12:03/README.md.
Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:cola-2020-06-29-12:03/train_args.json.