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: 16.5951
- Rouge2: 7.6416
- Rougel: 16.0871
- Rougelsum: 16.0029
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 | 15.3916 | 6.8734 | 14.8161 | 14.7319 |
| 3.8997 | 2.0 | 2418 | 3.1665 | 16.2801 | 7.7394 | 15.7055 | 15.7013 |
| 3.5826 | 3.0 | 3627 | 3.1106 | 17.0462 | 8.4851 | 16.5069 | 16.4118 |
| 3.421 | 4.0 | 4836 | 3.0963 | 17.235 | 8.8167 | 16.7472 | 16.7047 |
| 3.3089 | 5.0 | 6045 | 3.0490 | 16.6744 | 7.6767 | 16.1951 | 16.098 |
| 3.2437 | 6.0 | 7254 | 3.0401 | 16.6011 | 7.9461 | 16.0163 | 15.9111 |
| 3.2133 | 7.0 | 8463 | 3.0292 | 16.2951 | 7.6564 | 15.9059 | 15.857 |
| 3.1851 | 8.0 | 9672 | 3.0303 | 16.5951 | 7.6416 | 16.0871 | 16.0029 |
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