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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 nlp dataset snli, split train.
+Loading nlp dataset snli, split validation.
+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.