byt5-small-wikipron-eng-latn-nz-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: 0.1880
- Per: 0.3259
- Gen Len: 16.3063
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|---|
| 2.2173 | 1.0 | 235 | 0.3860 | 0.5095 | 15.7391 |
| 0.3895 | 2.0 | 470 | 0.2617 | 0.4065 | 16.1533 |
| 0.2907 | 3.0 | 705 | 0.2238 | 0.3594 | 16.2184 |
| 0.2479 | 4.0 | 941 | 0.2088 | 0.3451 | 16.2767 |
| 0.2274 | 5.0 | 1176 | 0.2000 | 0.3362 | 16.2672 |
| 0.2114 | 6.0 | 1411 | 0.1949 | 0.3366 | 16.3016 |
| 0.1997 | 7.0 | 1646 | 0.1935 | 0.3333 | 16.3086 |
| 0.1909 | 8.0 | 1882 | 0.1899 | 0.327 | 16.307 |
| 0.1854 | 9.0 | 2117 | 0.1882 | 0.3261 | 16.3109 |
| 0.1811 | 9.99 | 2350 | 0.1880 | 0.3259 | 16.3063 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3