| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-yelp_polarity-2020-07-02-10:35/log.txt. | |
| Loading [94mnlp[0m dataset [94myelp_polarity[0m, split [94mtrain[0m. | |
| Loading [94mnlp[0m dataset [94myelp_polarity[0m, split [94mtest[0m. | |
| Loaded dataset. Found: 2 labels: ([0, 1]) | |
| Loading transformers AutoModelForSequenceClassification: albert-base-v2 | |
| Tokenizing training data. (len: 560000) | |
| Tokenizing eval data (len: 38000) | |
| Loaded data and tokenized in 1196.1114358901978s | |
| Training model across 4 GPUs | |
| ***** Running training ***** | |
| Num examples = 560000 | |
| Batch size = 16 | |
| Max sequence length = 512 | |
| Num steps = 175000 | |
| Num epochs = 5 | |
| Learning rate = 3e-05 | |
| Eval accuracy: 96.92368421052632% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-yelp_polarity-2020-07-02-10:35/. | |
| Eval accuracy: 97.23947368421054% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-yelp_polarity-2020-07-02-10:35/. | |
| Eval accuracy: 97.18947368421053% | |
| Eval accuracy: 97.5078947368421% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-yelp_polarity-2020-07-02-10:35/. | |
| Eval accuracy: 97.42894736842105% | |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f7e11b25fd0> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-yelp_polarity-2020-07-02-10:35/. | |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-yelp_polarity-2020-07-02-10:35/README.md. | |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-yelp_polarity-2020-07-02-10:35/train_args.json. | |