byt5-small-wikipron-eng-latn-au-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: 0.1875
- Per: 0.3296
- Gen Len: 16.2507
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 |
|---|---|---|---|---|---|
| 2.4225 | 1.0 | 243 | 0.3885 | 0.5182 | 16.046 |
| 0.386 | 2.0 | 486 | 0.2610 | 0.4201 | 16.1472 |
| 0.2876 | 3.0 | 729 | 0.2242 | 0.3699 | 16.1972 |
| 0.2459 | 4.0 | 972 | 0.2073 | 0.3501 | 16.25 |
| 0.2236 | 5.0 | 1215 | 0.1966 | 0.3402 | 16.2254 |
| 0.207 | 6.0 | 1458 | 0.1953 | 0.337 | 16.2453 |
| 0.1971 | 7.0 | 1701 | 0.1879 | 0.3339 | 16.2523 |
| 0.1888 | 8.0 | 1944 | 0.1879 | 0.3319 | 16.2565 |
| 0.1829 | 9.0 | 2187 | 0.1869 | 0.3305 | 16.2509 |
| 0.1783 | 10.0 | 2430 | 0.1875 | 0.3296 | 16.2507 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2