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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-glue:mrpc-2020-06-29-14:01/log.txt.
Loading nlp dataset glue, subset mrpc, split train.
Loading nlp dataset glue, subset mrpc, split validation.
Loaded dataset. Found: 2 labels: ([0, 1])
Loading transformers AutoModelForSequenceClassification: roberta-base
Tokenizing training data. (len: 3668)
Tokenizing eval data (len: 408)
Loaded data and tokenized in 15.40734577178955s
Training model across 4 GPUs
***** Running training *****
Num examples = 3668
Batch size = 16
Max sequence length = 256
Num steps = 1145
Num epochs = 5
Learning rate = 3e-05
Eval accuracy: 88.23529411764706%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-glue:mrpc-2020-06-29-14:01/.
Eval accuracy: 89.2156862745098%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-glue:mrpc-2020-06-29-14:01/.
Eval accuracy: 91.17647058823529%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-glue:mrpc-2020-06-29-14:01/.
Eval accuracy: 88.48039215686273%
Eval accuracy: 89.4607843137255%
Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f4f0a826d00> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-glue:mrpc-2020-06-29-14:01/.
Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-glue:mrpc-2020-06-29-14:01/README.md.
Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-glue:mrpc-2020-06-29-14:01/train_args.json.