| Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/log.txt. | |
| Loading [94mnlp[0m dataset [94mimdb[0m, split [94mtrain[0m. | |
| Loading [94mnlp[0m dataset [94mimdb[0m, split [94mtest[0m. | |
| Loaded dataset. Found: 2 labels: ([0, 1]) | |
| Loading transformers AutoModelForSequenceClassification: albert-base-v2 | |
| Tokenizing training data. (len: 25000) | |
| Tokenizing eval data (len: 25000) | |
| Loaded data and tokenized in 121.69637775421143s | |
| Training model across 4 GPUs | |
| ***** Running training ***** | |
| Num examples = 25000 | |
| Batch size = 32 | |
| Max sequence length = 128 | |
| Num steps = 3905 | |
| Num epochs = 5 | |
| Learning rate = 2e-05 | |
| Eval accuracy: 86.512% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/. | |
| Eval accuracy: 88.024% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/. | |
| Eval accuracy: 89.19200000000001% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/. | |
| Eval accuracy: 89.236% | |
| Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/. | |
| Eval accuracy: 88.956% | |
| Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f23881f8400> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/. | |
| Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/README.md. | |
| Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-imdb-2020-06-29-16:55/train_args.json. | |