| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/log.txt. |
| Loading [94mnlp[0m dataset [94msnli[0m, split [94mtrain[0m. |
| Loading [94mnlp[0m dataset [94msnli[0m, split [94mvalidation[0m. |
| Filtering samples with labels outside of [0, 1, 2]. |
| Filtered 550152 train samples to 549367 points. |
| Filtered 10000 dev samples to 9842 points. |
| Loaded dataset. Found: 3 labels: ([0, 1, 2]) |
| Loading transformers AutoModelForSequenceClassification: albert-base-v2 |
| Tokenizing training data. (len: 549367) |
| Tokenizing eval data (len: 9842) |
| Loaded data and tokenized in 770.6083040237427s |
| Training model across 1 GPUs |
| ***** Running training ***** |
| Num examples = 549367 |
| Batch size = 64 |
| Max sequence length = 64 |
| Num steps = 42915 |
| Num epochs = 5 |
| Learning rate = 2e-05 |
| Eval accuracy: 89.86994513310303% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. |
| Eval accuracy: 89.8191424507214% |
| Eval accuracy: 90.6015037593985% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. |
| Eval accuracy: 90.27636659215607% |
| Eval accuracy: 90.25604551920341% |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fd0840a5190> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/README.md. |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/train_args.json. |
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