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: 3.0317
- Rouge1: 16.7841
- Rouge2: 7.5923
- Rougel: 16.3966
- Rougelsum: 16.4835
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 |
|---|---|---|---|---|---|---|---|
| 6.5836 | 1.0 | 1209 | 3.3101 | 15.1215 | 5.97 | 14.6831 | 14.7033 |
| 3.9149 | 2.0 | 2418 | 3.1711 | 17.272 | 8.5255 | 16.8357 | 16.9754 |
| 3.5897 | 3.0 | 3627 | 3.1031 | 17.2062 | 8.8101 | 16.704 | 16.7685 |
| 3.4085 | 4.0 | 4836 | 3.0744 | 17.5033 | 8.5182 | 16.977 | 17.1305 |
| 3.3123 | 5.0 | 6045 | 3.0542 | 17.5048 | 8.1755 | 16.9628 | 17.0698 |
| 3.2467 | 6.0 | 7254 | 3.0375 | 17.1634 | 7.9483 | 16.6977 | 16.8717 |
| 3.2043 | 7.0 | 8463 | 3.0282 | 17.1609 | 8.0724 | 16.7818 | 16.9188 |
| 3.1836 | 8.0 | 9672 | 3.0317 | 16.7841 | 7.5923 | 16.3966 | 16.4835 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small