byt5-small-wikipron-eng-latn-ca-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: 0.1882
- Per: 0.33
- Gen Len: 16.2671
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 |
|---|---|---|---|---|---|
| 2.2268 | 1.0 | 238 | 0.3982 | 0.5115 | 16.2763 |
| 0.3822 | 2.0 | 477 | 0.2639 | 0.4174 | 16.0942 |
| 0.2862 | 3.0 | 715 | 0.2263 | 0.3669 | 16.1344 |
| 0.245 | 4.0 | 954 | 0.2080 | 0.3507 | 16.2382 |
| 0.2224 | 5.0 | 1192 | 0.2005 | 0.3414 | 16.2146 |
| 0.2067 | 6.0 | 1431 | 0.1960 | 0.3361 | 16.241 |
| 0.1964 | 7.0 | 1669 | 0.1917 | 0.3352 | 16.2499 |
| 0.1874 | 8.0 | 1908 | 0.1882 | 0.3319 | 16.2605 |
| 0.1828 | 9.0 | 2146 | 0.1889 | 0.3318 | 16.2561 |
| 0.1777 | 9.98 | 2380 | 0.1882 | 0.33 | 16.2671 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3