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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/log.txt. Loading [94mnlp[0m dataset [94msnli[0m, split [94mtrain[0m. Loading [94mnlp[0m dataset [94msnli[0m, split [94mvalidation[0m. Filtering samples with labels outside of [0, 1, 2]. Filtered 550152 train samples to 549367 points. Filtered 10000 dev samples to 9842 points. Loaded dataset. Found: 3 labels: ([0, 1, 2]) Loading transformers AutoModelForSequenceClassification: albert-base-v2 Tokenizing training data. (len: 549367) Tokenizing eval data (len: 9842) Loaded data and tokenized in 770.6083040237427s Training model across 1 GPUs ***** Running training ***** Num examples = 549367 Batch size = 64 Max sequence length = 64 Num steps = 42915 Num epochs = 5 Learning rate = 2e-05 Eval accuracy: 89.86994513310303% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. Eval accuracy: 89.8191424507214% Eval accuracy: 90.6015037593985% Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. Eval accuracy: 90.27636659215607% Eval accuracy: 90.25604551920341% Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fd0840a5190> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/README.md. Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/train_args.json. |