| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/log.txt. | |
| Loading [94mnlp[0m dataset [94mglue[0m, subset [94mwnli[0m, split [94mtrain[0m. | |
| Loading [94mnlp[0m dataset [94mglue[0m, subset [94mwnli[0m, split [94mvalidation[0m. | |
| Loaded dataset. Found: 2 labels: ([0, 1]) | |
| Loading transformers AutoModelForSequenceClassification: bert-base-uncased | |
| Tokenizing training data. (len: 635) | |
| Tokenizing eval data (len: 71) | |
| Loaded data and tokenized in 7.102111577987671s | |
| Training model across 4 GPUs | |
| ***** Running training ***** | |
| Num examples = 635 | |
| Batch size = 64 | |
| Max sequence length = 256 | |
| Num steps = 45 | |
| Num epochs = 5 | |
| Learning rate = 5e-05 | |
| Eval accuracy: 43.66197183098591% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/. | |
| Eval accuracy: 56.33802816901409% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/. | |
| Eval accuracy: 23.943661971830984% | |
| Eval accuracy: 49.29577464788733% | |
| Eval accuracy: 50.70422535211267% | |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fbf6aea2dc0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/. | |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/README.md. | |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/bert-base-uncased-glue:wnli-2020-06-29-11:27/train_args.json. | |