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: 2.9719
- Rouge1: 12.8375
- Rouge2: 4.873
- Rougel: 12.7298
- Rougelsum: 12.7317
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 |
|---|---|---|---|---|---|---|---|
| 5.97 | 1.0 | 2202 | 3.2260 | 9.8577 | 3.6445 | 9.7485 | 9.7848 |
| 3.647 | 2.0 | 4404 | 3.0734 | 11.4598 | 4.3082 | 11.3677 | 11.4138 |
| 3.3891 | 3.0 | 6606 | 3.0070 | 12.0211 | 4.3801 | 11.7115 | 11.7438 |
| 3.2655 | 4.0 | 8808 | 2.9878 | 11.8522 | 4.3727 | 11.6773 | 11.7271 |
| 3.1735 | 5.0 | 11010 | 2.9825 | 12.6673 | 4.3875 | 12.5586 | 12.6202 |
| 3.1156 | 6.0 | 13212 | 2.9798 | 13.0236 | 5.2414 | 12.8478 | 12.9195 |
| 3.0672 | 7.0 | 15414 | 2.9771 | 12.6105 | 4.8806 | 12.5344 | 12.545 |
| 3.044 | 8.0 | 17616 | 2.9719 | 12.8375 | 4.873 | 12.7298 | 12.7317 |
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