| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-ag_news-2020-07-03-13:06/log.txt. | |
| Loading [94mnlp[0m dataset [94mag_news[0m, split [94mtrain[0m. | |
| Loading [94mnlp[0m dataset [94mag_news[0m, split [94mtest[0m. | |
| Loaded dataset. Found: 4 labels: ([0, 1, 2, 3]) | |
| Loading transformers AutoModelForSequenceClassification: roberta-base | |
| Tokenizing training data. (len: 120000) | |
| Tokenizing eval data (len: 7600) | |
| Loaded data and tokenized in 147.60910987854004s | |
| Training model across 4 GPUs | |
| ***** Running training ***** | |
| Num examples = 120000 | |
| Batch size = 16 | |
| Max sequence length = 128 | |
| Num steps = 37500 | |
| Num epochs = 5 | |
| Learning rate = 5e-05 | |
| Eval accuracy: 93.71052631578948% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-ag_news-2020-07-03-13:06/. | |
| Eval accuracy: 93.6842105263158% | |
| Eval accuracy: 94.61842105263158% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-ag_news-2020-07-03-13:06/. | |
| Eval accuracy: 94.5921052631579% | |
| Eval accuracy: 94.69736842105263% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-ag_news-2020-07-03-13:06/. | |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fcac6e3aee0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-ag_news-2020-07-03-13:06/. | |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-ag_news-2020-07-03-13:06/README.md. | |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-ag_news-2020-07-03-13:06/train_args.json. | |