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