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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-cased-snli-2020-06-24-14:03/log.txt. Loading [94mnlp[0m dataset [94msnli[0m, split [94mtrain[0m. Loading [94mnlp[0m dataset [94msnli[0m, split [94mvalidation[0m. Filtering samples with labels outside of [0, 1, 2]. Filtered 550152 train samples to 549367 points. Filtered 10000 dev samples to 9842 points. Loaded dataset. Found: 3 labels: ([0, 1, 2]) Loading transformers AutoModelForSequenceClassification: distilbert-base-cased Tokenizing training data. (len: 549367) Tokenizing eval data (len: 9842) Loaded data and tokenized in 102.62434101104736s Training model across 4 GPUs ***** Running training ***** Num examples = 549367 Batch size = 256 Max sequence length = 128 Num steps = 6435 Num epochs = 3 Learning rate = 2e-05 Eval accuracy: 86.09022556390977% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-cased-snli-2020-06-24-14:03/. Eval accuracy: 86.97419223735014% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-cased-snli-2020-06-24-14:03/. Eval accuracy: 87.68542979069295% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-cased-snli-2020-06-24-14:03/. Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fed9c3a8fa0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-cased-snli-2020-06-24-14:03/. Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-cased-snli-2020-06-24-14:03/README.md. Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-cased-snli-2020-06-24-14:03/train_args.json. |