byt5-small-cmudict
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: 0.0802
- Per: 0.1151
- Gen Len: 14.6046
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 |
|---|---|---|---|---|---|
| 1.1569 | 1.0 | 845 | 0.1433 | 0.1751 | 14.5711 |
| 0.1409 | 2.0 | 1690 | 0.1049 | 0.1383 | 14.5844 |
| 0.1073 | 3.0 | 2535 | 0.0901 | 0.1281 | 14.6058 |
| 0.0927 | 4.0 | 3380 | 0.0855 | 0.1237 | 14.5798 |
| 0.0833 | 5.0 | 4225 | 0.0839 | 0.1207 | 14.6139 |
| 0.0762 | 6.0 | 5070 | 0.0809 | 0.118 | 14.5913 |
| 0.0707 | 7.0 | 5915 | 0.0810 | 0.1171 | 14.6055 |
| 0.0667 | 8.0 | 6760 | 0.0796 | 0.1166 | 14.6025 |
| 0.0638 | 9.0 | 7605 | 0.0793 | 0.115 | 14.6115 |
| 0.0609 | 10.0 | 8450 | 0.0802 | 0.1151 | 14.6046 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2