mt5-small-finetuned-amazon-fr-es
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9815
- Rouge1: 15.1268
- Rouge2: 6.2834
- Rougel: 14.1836
- Rougelsum: 14.2891
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.0578 | 1.0 | 1374 | 3.2895 | 11.9843 | 3.2125 | 11.6212 | 11.7535 |
| 3.8304 | 2.0 | 2748 | 3.1339 | 15.0305 | 4.9763 | 14.6223 | 14.6737 |
| 3.5073 | 3.0 | 4122 | 3.0671 | 13.8606 | 5.3467 | 13.1739 | 13.1314 |
| 3.3503 | 4.0 | 5496 | 3.0203 | 15.0263 | 6.0731 | 14.3983 | 14.4509 |
| 3.2406 | 5.0 | 6870 | 3.0035 | 15.0129 | 6.1964 | 14.2638 | 14.3531 |
| 3.1817 | 6.0 | 8244 | 2.9983 | 15.3756 | 6.3463 | 14.462 | 14.5718 |
| 3.1265 | 7.0 | 9618 | 2.9899 | 15.0742 | 6.3106 | 14.0789 | 14.224 |
| 3.1088 | 8.0 | 10992 | 2.9815 | 15.1268 | 6.2834 | 14.1836 | 14.2891 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1
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Base model
google/mt5-small