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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/log.txt. Loading [94mnlp[0m dataset [94mglue[0m, subset [94mqqp[0m, split [94mtrain[0m. Loading [94mnlp[0m dataset [94mglue[0m, subset [94mqqp[0m, split [94mvalidation[0m. Loaded dataset. Found: 2 labels: ([0, 1]) Loading transformers AutoModelForSequenceClassification: albert-base-v2 Tokenizing training data. (len: 363849) Tokenizing eval data (len: 40430) Loaded data and tokenized in 514.5082082748413s Training model across 1 GPUs ***** Running training ***** Num examples = 363849 Batch size = 32 Max sequence length = 128 Num steps = 56850 Num epochs = 5 Learning rate = 5e-05 Eval accuracy: 87.80361117981697% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/. Eval accuracy: 89.3915409349493% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/. Eval accuracy: 90.29680930002473% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/. Eval accuracy: 90.73707642839476% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/. Eval accuracy: 90.4575810042048% Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fa7b6287970> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/. Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/README.md. Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:qqp-2020-06-30-00:07/train_args.json. |