| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-28-16:10/log.txt. | |
| Loading [94mnlp[0m dataset [94mrotten_tomatoes[0m, split [94mtrain[0m. | |
| Loading [94mnlp[0m dataset [94mrotten_tomatoes[0m, split [94mvalidation[0m. | |
| Loaded dataset. Found: 2 labels: ([0, 1]) | |
| Loading transformers AutoModelForSequenceClassification: xlnet-base-cased | |
| Tokenizing training data. (len: 8530) | |
| Tokenizing eval data (len: 1066) | |
| Loaded data and tokenized in 25.242671012878418s | |
| Training model across 1 GPUs | |
| ***** Running training ***** | |
| Num examples = 8530 | |
| Batch size = 8 | |
| Max sequence length = 128 | |
| Num steps = 5330 | |
| Num epochs = 5 | |
| Learning rate = 2e-05 | |
| Eval accuracy: 89.58724202626641% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-28-16:10/. | |
| Eval accuracy: 89.58724202626641% | |
| Eval accuracy: 90.33771106941839% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-28-16:10/. | |
| Eval accuracy: 89.8686679174484% | |
| Eval accuracy: 89.30581613508443% | |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fe1c08b56d0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-28-16:10/. | |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-28-16:10/README.md. | |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-rotten_tomatoes-2020-06-28-16:10/train_args.json. | |