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bart-base-detox
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1819
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5633 | 1.0 | 135 | 0.2524 |
| 0.2589 | 2.0 | 270 | 0.2193 |
| 0.2307 | 3.0 | 405 | 0.1993 |
| 0.2171 | 4.0 | 540 | 0.2002 |
| 0.2027 | 5.0 | 675 | 0.1937 |
| 0.1946 | 6.0 | 810 | 0.1972 |
| 0.1874 | 7.0 | 945 | 0.1917 |
| 0.1853 | 8.0 | 1080 | 0.1868 |
| 0.1811 | 9.0 | 1215 | 0.1890 |
| 0.1776 | 10.0 | 1350 | 0.1871 |
| 0.1798 | 11.0 | 1485 | 0.1858 |
| 0.1745 | 12.0 | 1620 | 0.1820 |
| 0.1689 | 13.0 | 1755 | 0.1827 |
| 0.1707 | 14.0 | 1890 | 0.1843 |
| 0.1658 | 15.0 | 2025 | 0.1834 |
| 0.1647 | 16.0 | 2160 | 0.1820 |
| 0.1645 | 17.0 | 2295 | 0.1837 |
| 0.1633 | 18.0 | 2430 | 0.1814 |
| 0.1612 | 19.0 | 2565 | 0.1815 |
| 0.1603 | 20.0 | 2700 | 0.1819 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.12.0.dev20220429
- Datasets 2.1.0
- Tokenizers 0.10.3
