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log.txt

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+Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-13:09/log.txt.
+Loading nlp dataset rotten_tomatoes, split train.
+Loading nlp dataset rotten_tomatoes, split validation.
+Loaded dataset. Found: 2 labels: ([0, 1])
+Loading transformers AutoModelForSequenceClassification: roberta-base
+Tokenizing training data. (len: 8530)
+Tokenizing eval data (len: 1066)
+Loaded data and tokenized in 10.02656078338623s
+Training model across 4 GPUs
+***** Running training *****
+	Num examples = 8530
+	Batch size = 128
+	Max sequence length = 128
+	Num steps = 660
+	Num epochs = 10
+	Learning rate = 5e-05
+Eval accuracy: 89.11819887429644%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-13:09/.
+Eval accuracy: 90.0562851782364%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-13:09/.
+Eval accuracy: 89.9624765478424%
+Eval accuracy: 89.77485928705441%
+Eval accuracy: 87.99249530956847%
+Eval accuracy: 89.02439024390245%
+Eval accuracy: 89.21200750469043%
+Eval accuracy: 89.8686679174484%
+Eval accuracy: 89.58724202626641%
+Eval accuracy: 90.33771106941839%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-13:09/.
+Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fb412aada60> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-13:09/.
+Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-13:09/README.md.
+Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-rotten_tomatoes-2020-06-25-13:09/train_args.json.