mt5-small-finetuned-amazon-en-de
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2592
- Rouge1: 14.8917
- Rouge2: 6.2159
- Rougel: 14.3496
- Rougelsum: 14.3149
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_FUSED 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 |
|---|---|---|---|---|---|---|---|
| 6.9537 | 1.0 | 1276 | 3.5355 | 13.6323 | 5.6987 | 13.1154 | 13.0853 |
| 4.0575 | 2.0 | 2552 | 3.3751 | 13.7918 | 5.5182 | 13.0099 | 12.9962 |
| 3.7541 | 3.0 | 3828 | 3.3480 | 15.6574 | 6.4522 | 15.0398 | 15.0655 |
| 3.5756 | 4.0 | 5104 | 3.3140 | 14.5606 | 5.7042 | 13.9241 | 13.94 |
| 3.4765 | 5.0 | 6380 | 3.2833 | 14.4419 | 5.6572 | 14.0929 | 14.1116 |
| 3.4123 | 6.0 | 7656 | 3.2621 | 14.8108 | 6.2846 | 14.1938 | 14.1736 |
| 3.3623 | 7.0 | 8932 | 3.2582 | 15.1422 | 6.3557 | 14.5775 | 14.5286 |
| 3.3390 | 8.0 | 10208 | 3.2592 | 14.8917 | 6.2159 | 14.3496 | 14.3149 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.8.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2