| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-imdb-2020-06-30-02:43/log.txt. |
| Loading [94mnlp[0m dataset [94mimdb[0m, split [94mtrain[0m. |
| Loading [94mnlp[0m dataset [94mimdb[0m, split [94mtest[0m. |
| Loaded dataset. Found: 2 labels: ([0, 1]) |
| Loading transformers AutoModelForSequenceClassification: bert-base-uncased |
| Tokenizing training data. (len: 25000) |
| Tokenizing eval data (len: 25000) |
| Loaded data and tokenized in 77.80554986000061s |
| Training model across 4 GPUs |
| ***** Running training ***** |
| Num examples = 25000 |
| Batch size = 16 |
| Max sequence length = 128 |
| Num steps = 7810 |
| Num epochs = 5 |
| Learning rate = 2e-05 |
| Eval accuracy: 88.884% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-imdb-2020-06-30-02:43/. |
| Eval accuracy: 88.92% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-imdb-2020-06-30-02:43/. |
| Eval accuracy: 88.716% |
| Eval accuracy: 88.79599999999999% |
| Eval accuracy: 89.088% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-imdb-2020-06-30-02:43/. |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f17e4b2e940> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-imdb-2020-06-30-02:43/. |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-imdb-2020-06-30-02:43/README.md. |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-imdb-2020-06-30-02:43/train_args.json. |
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