| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-06-30-16:01/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 1064.7807202339172s | |
| Training model across 1 GPUs | |
| ***** Running training ***** | |
| Num examples = 560000 | |
| Batch size = 8 | |
| Max sequence length = 512 | |
| Num steps = 350000 | |
| Num epochs = 5 | |
| Learning rate = 5e-05 | |
| Eval accuracy: 50.0% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-06-30-16:01/. | |
| Eval accuracy: 50.00526315789474% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-06-30-16:01/. | |
| Eval accuracy: 50.0% | |
| Eval accuracy: 50.0% | |
| Eval accuracy: 50.0% | |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f6bcb56cd00> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-06-30-16:01/. | |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-06-30-16:01/README.md. | |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-yelp_polarity-2020-06-30-16:01/train_args.json. | |