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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:sst2-2020-06-30-00:28/log.txt. |
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94msst2[0m, split [94mtrain[0m. |
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Loading [94mnlp[0m dataset [94mglue[0m, subset [94msst2[0m, split [94mvalidation[0m. |
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Loaded dataset. Found: 2 labels: ([0, 1]) |
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Loading transformers AutoModelForSequenceClassification: albert-base-v2 |
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Tokenizing training data. (len: 67349) |
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Tokenizing eval data (len: 872) |
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Loaded data and tokenized in 100.11767911911011s |
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Training model across 1 GPUs |
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***** Running training ***** |
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Num examples = 67349 |
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Batch size = 32 |
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Max sequence length = 64 |
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Num steps = 10520 |
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Num epochs = 5 |
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Learning rate = 3e-05 |
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Eval accuracy: 91.74311926605505% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:sst2-2020-06-30-00:28/. |
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Eval accuracy: 91.74311926605505% |
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Eval accuracy: 92.54587155963303% |
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Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:sst2-2020-06-30-00:28/. |
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Eval accuracy: 91.62844036697247% |
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Eval accuracy: 91.97247706422019% |
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Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fa8880a6d60> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:sst2-2020-06-30-00:28/. |
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Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:sst2-2020-06-30-00:28/README.md. |
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Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-glue:sst2-2020-06-30-00:28/train_args.json. |
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