t5-small-finetuned-welsh-breton-kernewek
This model is a fine-tuned version of Jendersen/t5-small-finetuned-welsh-breton-kernewek on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7294
- Rouge1: 28.5495
- Rouge2: 16.4098
- Rougel: 27.3406
- Rougelsum: 27.424
- Bleu: 0.0206
- Chrf++: 16.7248
- F1: 44.5459
- Gen Len: 18.9918
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Chrf++ | F1 | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.8844 | 1.0 | 5853 | 0.7346 | 28.4424 | 16.3267 | 27.2378 | 27.3239 | 0.0205 | 16.6707 | 44.4736 | 18.9933 |
| 0.8800 | 2.0 | 11706 | 0.7330 | 28.5017 | 16.3618 | 27.2933 | 27.3794 | 0.0206 | 16.6938 | 44.5045 | 18.9931 |
| 0.8745 | 3.0 | 17559 | 0.7316 | 28.5504 | 16.3976 | 27.3458 | 27.4307 | 0.0206 | 16.7286 | 44.5385 | 18.9924 |
| 0.8668 | 4.0 | 23412 | 0.7294 | 28.5378 | 16.3979 | 27.3302 | 27.4156 | 0.0206 | 16.72 | 44.5359 | 18.9935 |
| 0.8632 | 5.0 | 29265 | 0.7294 | 28.5495 | 16.4098 | 27.3406 | 27.424 | 0.0206 | 16.7248 | 44.5459 | 18.9918 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2