byt5-small-wikipron-eng-latn-in-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: 0.1796
- Per: 0.3243
- Gen Len: 16.3969
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 |
|---|---|---|---|---|---|
| 2.2292 | 1.0 | 233 | 0.3751 | 0.4995 | 16.0446 |
| 0.387 | 2.0 | 466 | 0.2547 | 0.4174 | 16.3408 |
| 0.2887 | 3.0 | 699 | 0.2157 | 0.362 | 16.3243 |
| 0.2459 | 4.0 | 932 | 0.2019 | 0.3432 | 16.3488 |
| 0.2224 | 5.0 | 1165 | 0.1925 | 0.3339 | 16.3654 |
| 0.207 | 6.0 | 1398 | 0.1868 | 0.328 | 16.3744 |
| 0.1956 | 7.0 | 1631 | 0.1816 | 0.3276 | 16.3906 |
| 0.1872 | 8.0 | 1864 | 0.1815 | 0.3241 | 16.3957 |
| 0.1823 | 9.0 | 2097 | 0.1812 | 0.3244 | 16.3927 |
| 0.1778 | 10.0 | 2330 | 0.1796 | 0.3243 | 16.3969 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3