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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:mrpc-2020-06-29-15:23/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: xlnet-base-cased Tokenizing training data. (len: 3668) Tokenizing eval data (len: 408) Loaded data and tokenized in 14.01921534538269s Training model across 4 GPUs ***** Running training ***** Num examples = 3668 Batch size = 32 Max sequence length = 256 Num steps = 570 Num epochs = 5 Learning rate = 5e-05 Eval accuracy: 70.83333333333334% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:mrpc-2020-06-29-15:23/. Eval accuracy: 77.94117647058823% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:mrpc-2020-06-29-15:23/. Eval accuracy: 88.97058823529412% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:mrpc-2020-06-29-15:23/. Eval accuracy: 83.57843137254902% Eval accuracy: 86.51960784313727% Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fa8a817ac10> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:mrpc-2020-06-29-15:23/. Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:mrpc-2020-06-29-15:23/README.md. Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/xlnet-base-cased-glue:mrpc-2020-06-29-15:23/train_args.json. |