byt5-small-wikipron-eng-latn-us-broad
This model is a fine-tuned version of google/byt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1668
- Per: 0.2588
- Gen Len: 15.7318
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: 0.0002
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Per | Gen Len |
|---|---|---|---|---|---|
| 1.9462 | 1.0 | 382 | 0.2963 | 0.3495 | 15.453 |
| 0.2979 | 2.0 | 764 | 0.2144 | 0.2941 | 15.6759 |
| 0.2319 | 3.0 | 1146 | 0.1898 | 0.2765 | 15.7219 |
| 0.2042 | 4.0 | 1528 | 0.1799 | 0.2719 | 15.7235 |
| 0.1879 | 5.0 | 1910 | 0.1744 | 0.2657 | 15.7054 |
| 0.1763 | 6.0 | 2292 | 0.1729 | 0.2645 | 15.7406 |
| 0.1677 | 7.0 | 2674 | 0.1693 | 0.2619 | 15.7269 |
| 0.1613 | 8.0 | 3056 | 0.1668 | 0.2604 | 15.7371 |
| 0.1559 | 9.0 | 3438 | 0.1667 | 0.2585 | 15.7383 |
| 0.1534 | 10.0 | 3820 | 0.1668 | 0.2588 | 15.7318 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2