mt5-small-finetuned-amazon-en-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: 3.0303
- Rouge1: 16.529
- Rouge2: 7.7232
- Rougel: 16.1476
- Rougelsum: 16.1061
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 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 |
|---|---|---|---|---|---|---|---|
| 6.9675 | 1.0 | 1209 | 3.2986 | 15.3055 | 6.8874 | 14.783 | 14.8197 |
| 3.8997 | 2.0 | 2418 | 3.1665 | 16.2363 | 7.6744 | 15.7205 | 15.7713 |
| 3.5826 | 3.0 | 3627 | 3.1106 | 17.1611 | 8.4609 | 16.4314 | 16.5041 |
| 3.421 | 4.0 | 4836 | 3.0963 | 17.2027 | 8.7845 | 16.7884 | 16.748 |
| 3.3089 | 5.0 | 6045 | 3.0490 | 16.6719 | 7.7037 | 16.1747 | 16.1419 |
| 3.2437 | 6.0 | 7254 | 3.0401 | 16.6146 | 7.9511 | 16.0485 | 15.9265 |
| 3.2133 | 7.0 | 8463 | 3.0292 | 16.2406 | 7.7499 | 15.9951 | 15.9193 |
| 3.1851 | 8.0 | 9672 | 3.0303 | 16.529 | 7.7232 | 16.1476 | 16.1061 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small