| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:wnli-2020-06-29-10:28/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: xlnet-base-cased |
| Tokenizing training data. (len: 635) |
| Tokenizing eval data (len: 71) |
| Loaded data and tokenized in 8.763058185577393s |
| Training model across 1 GPUs |
| ***** Running training ***** |
| Num examples = 635 |
| Batch size = 16 |
| Max sequence length = 256 |
| Num steps = 195 |
| Num epochs = 5 |
| Learning rate = 3e-05 |
| Eval accuracy: 57.74647887323944% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:wnli-2020-06-29-10:28/. |
| Eval accuracy: 56.33802816901409% |
| Eval accuracy: 45.07042253521127% |
| Eval accuracy: 45.07042253521127% |
| Eval accuracy: 42.25352112676056% |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f23225c6af0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:wnli-2020-06-29-10:28/. |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:wnli-2020-06-29-10:28/README.md. |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:wnli-2020-06-29-10:28/train_args.json. |
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