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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/log.txt. Loading [94mnlp[0m dataset [94mglue[0m, subset [94mmrpc[0m, split [94mtrain[0m. Loading [94mnlp[0m dataset [94mglue[0m, subset [94mmrpc[0m, split [94mvalidation[0m. Loaded dataset. Found: 2 labels: ([0, 1]) Loading transformers AutoModelForSequenceClassification: albert-base-v2 Tokenizing training data. (len: 3668) Tokenizing eval data (len: 408) Loaded data and tokenized in 8.243747472763062s Training model across 1 GPUs ***** Running training ***** Num examples = 3668 Batch size = 32 Max sequence length = 128 Num steps = 570 Num epochs = 5 Learning rate = 2e-05 Eval accuracy: 86.27450980392157% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/. Eval accuracy: 86.76470588235294% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/. Eval accuracy: 86.02941176470588% Eval accuracy: 88.48039215686273% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/. Eval accuracy: 89.70588235294117% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/. Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fc7e05ced60> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/. Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/README.md. Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:mrpc-2020-06-29-10:42/train_args.json. |