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: 16.5285
- Rouge2: 7.5401
- Rougel: 16.0377
- Rougelsum: 16.0806
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 | 15.2725 | 6.808 | 14.7775 | 14.8012 |
| 3.8997 | 2.0 | 2418 | 3.1665 | 16.251 | 7.5493 | 15.7711 | 15.7602 |
| 3.5826 | 3.0 | 3627 | 3.1106 | 17.1077 | 8.3307 | 16.3925 | 16.4039 |
| 3.421 | 4.0 | 4836 | 3.0963 | 17.1905 | 8.6665 | 16.7501 | 16.7698 |
| 3.3089 | 5.0 | 6045 | 3.0490 | 16.6351 | 7.5016 | 16.1347 | 16.1305 |
| 3.2437 | 6.0 | 7254 | 3.0401 | 16.5347 | 7.8057 | 15.9641 | 15.9233 |
| 3.2133 | 7.0 | 8463 | 3.0292 | 16.184 | 7.5266 | 15.9083 | 15.9428 |
| 3.1851 | 8.0 | 9672 | 3.0303 | 16.5285 | 7.5401 | 16.0377 | 16.0806 |
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