| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/log.txt. |
| Loading [94mnlp[0m dataset [94mglue[0m, subset [94mrte[0m, split [94mtrain[0m. |
| Loading [94mnlp[0m dataset [94mglue[0m, subset [94mrte[0m, split [94mvalidation[0m. |
| Loaded dataset. Found: 2 labels: ([0, 1]) |
| Loading transformers AutoModelForSequenceClassification: xlnet-base-cased |
| Tokenizing training data. (len: 2490) |
| Tokenizing eval data (len: 277) |
| Loaded data and tokenized in 14.161188840866089s |
| Training model across 1 GPUs |
| ***** Running training ***** |
| Num examples = 2490 |
| Batch size = 16 |
| Max sequence length = 128 |
| Num steps = 775 |
| Num epochs = 5 |
| Learning rate = 2e-05 |
| Eval accuracy: 54.151624548736464% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/. |
| Eval accuracy: 66.06498194945848% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/. |
| Eval accuracy: 65.70397111913357% |
| Eval accuracy: 71.11913357400722% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/. |
| Eval accuracy: 71.11913357400722% |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fd4a0851e80> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/. |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/README.md. |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:rte-2020-06-29-13:10/train_args.json. |
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