| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-rotten_tomatoes-2020-06-24-12:26/log.txt. |
| Loading [94mnlp[0m dataset [94mrotten_tomatoes[0m, split [94mtrain[0m. |
| Loading [94mnlp[0m dataset [94mrotten_tomatoes[0m, split [94mvalidation[0m. |
| Filtering samples with labels outside of [0, 1, 2]. |
| Filtered 8530 train samples to 8530 points. |
| Filtered 1066 dev samples to 1066 points. |
| Loaded dataset. Found: 2 labels: ([0, 1]) |
| Loading transformers AutoModelForSequenceClassification: distilbert-base-uncased |
| Tokenizing training data. (len: 8530) |
| Tokenizing eval data (len: 1066) |
| Loaded data and tokenized in 6.951146125793457s |
| Training model across 4 GPUs |
| ***** Running training ***** |
| Num examples = 8530 |
| Batch size = 128 |
| Max sequence length = 128 |
| Num steps = 198 |
| Num epochs = 3 |
| Learning rate = 1e-05 |
| Eval accuracy: 81.61350844277673% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-rotten_tomatoes-2020-06-24-12:26/. |
| Eval accuracy: 82.6454033771107% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-rotten_tomatoes-2020-06-24-12:26/. |
| Eval accuracy: 83.95872420262664% |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-rotten_tomatoes-2020-06-24-12:26/. |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f798097fac0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-rotten_tomatoes-2020-06-24-12:26/. |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-rotten_tomatoes-2020-06-24-12:26/README.md. |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-rotten_tomatoes-2020-06-24-12:26/train_args.json. |
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