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5d053ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:wnli-2020-06-29-11:31/log.txt. Loading [94mnlp[0m dataset [94mglue[0m, subset [94mwnli[0m, split [94mtrain[0m. Loading [94mnlp[0m dataset [94mglue[0m, subset [94mwnli[0m, split [94mvalidation[0m. Loaded dataset. Found: 2 labels: ([0, 1]) Loading transformers AutoModelForSequenceClassification: distilbert-base-uncased Tokenizing training data. (len: 635) Tokenizing eval data (len: 71) Loaded data and tokenized in 6.015664100646973s Training model across 4 GPUs ***** Running training ***** Num examples = 635 Batch size = 128 Max sequence length = 256 Num steps = 20 Num epochs = 5 Learning rate = 2e-05 Eval accuracy: 56.33802816901409% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:wnli-2020-06-29-11:31/. Eval accuracy: 40.845070422535215% Eval accuracy: 28.169014084507044% Eval accuracy: 26.76056338028169% Eval accuracy: 26.76056338028169% Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f50d57d5d90> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:wnli-2020-06-29-11:31/. Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:wnli-2020-06-29-11:31/README.md. Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-glue:wnli-2020-06-29-11:31/train_args.json. |