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byt5-small-finetune-thai-to-romanized
This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0881
- Rouge1: 7.9223
- Rouge2: 0.5516
- Rougel: 7.9176
- Rougelsum: 7.9205
- Gen Len: 11.8775
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8962 | 1.0 | 1500 | 1.6419 | 0.0348 | 0.0 | 0.0351 | 0.0345 | 11.6767 |
| 1.1867 | 2.0 | 3000 | 0.6487 | 1.4739 | 0.0463 | 1.4793 | 1.4804 | 11.6179 |
| 0.6108 | 3.0 | 4500 | 0.2648 | 4.9434 | 0.2338 | 4.9373 | 4.9413 | 11.6379 |
| 0.363 | 4.0 | 6000 | 0.1561 | 6.8898 | 0.364 | 6.8827 | 6.8935 | 11.808 |
| 0.2671 | 5.0 | 7500 | 0.1132 | 7.5578 | 0.4855 | 7.5496 | 7.5604 | 11.8507 |
| 0.2198 | 6.0 | 9000 | 0.0976 | 7.7876 | 0.511 | 7.7819 | 7.7864 | 11.8772 |
| 0.1823 | 7.0 | 10500 | 0.0920 | 7.883 | 0.5422 | 7.8797 | 7.8834 | 11.8707 |
| 0.1854 | 8.0 | 12000 | 0.0881 | 7.9223 | 0.5516 | 7.9176 | 7.9205 | 11.8775 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
