| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-imdb-2020-06-28-20:07/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: xlnet-base-cased |
| Tokenizing training data. (len: 25000) |
| Tokenizing eval data (len: 25000) |
| Loaded data and tokenized in 76.48014068603516s |
| Training model across 4 GPUs |
| ***** Running training ***** |
| Num examples = 25000 |
| Batch size = 32 |
| Max sequence length = 512 |
| Num steps = 3905 |
| Num epochs = 5 |
| Learning rate = 2e-05 |
| Eval accuracy: 94.98400000000001% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-imdb-2020-06-28-20:07/. |
| Eval accuracy: 95.024% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-imdb-2020-06-28-20:07/. |
| Eval accuracy: 95.352% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-imdb-2020-06-28-20:07/. |
| Eval accuracy: 95.00800000000001% |
| Eval accuracy: 95.268% |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7efe433eb050> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-imdb-2020-06-28-20:07/. |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-imdb-2020-06-28-20:07/README.md. |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-imdb-2020-06-28-20:07/train_args.json. |
|
|
