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.