| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/log.txt. |
| Loading [94mnlp[0m dataset [94myelp_polarity[0m, split [94mtrain[0m. |
| Loading [94mnlp[0m dataset [94myelp_polarity[0m, split [94mtest[0m. |
| Loaded dataset. Found: 2 labels: ([0, 1]) |
| Loading transformers AutoModelForSequenceClassification: bert-base-uncased |
| Tokenizing training data. (len: 560000) |
| Tokenizing eval data (len: 38000) |
| Loaded data and tokenized in 720.6436557769775s |
| Using torch.nn.DataParallel. |
| Training model across 4 GPUs |
| Wrote original training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/train_args.json. |
| ***** Running training ***** |
| Num examples = 560000 |
| Batch size = 16 |
| Max sequence length = 256 |
| Num steps = 175000 |
| Num epochs = 5 |
| Learning rate = 5e-05 |
| Eval accuracy: 95.95263157894736% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/. |
| Eval accuracy: 96.59473684210526% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/. |
| Eval accuracy: 96.69473684210527% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/. |
| Eval accuracy: 96.91052631578947% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/. |
| Eval accuracy: 96.99473684210527% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/. |
| Finished training. Re-loading and evaluating model from disk. |
| Loading transformers AutoModelForSequenceClassification: bert-base-uncased |
| Eval of saved model accuracy: 96.99473684210527% |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fcc548eb730> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/. |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/README.md. |
| Wrote final training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-07-08-10:42/train_args.json. |
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