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mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0229
- Rouge1: 17.552
- Rouge2: 8.6159
- Rougel: 17.3207
- Rougelsum: 17.1968
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.6836 | 1.0 | 1209 | 3.2362 | 17.2827 | 8.6322 | 16.7811 | 16.7223 |
| 3.6489 | 2.0 | 2418 | 3.0808 | 17.7206 | 8.7236 | 17.0749 | 16.9989 |
| 3.4263 | 3.0 | 3627 | 3.0574 | 17.9532 | 9.55 | 17.604 | 17.4782 |
| 3.3129 | 4.0 | 4836 | 3.0444 | 16.8908 | 8.1947 | 16.3227 | 16.2468 |
| 3.2353 | 5.0 | 6045 | 3.0449 | 17.0334 | 8.1498 | 16.8367 | 16.6738 |
| 3.1678 | 6.0 | 7254 | 3.0326 | 18.197 | 9.3959 | 18.0328 | 17.86 |
| 3.1365 | 7.0 | 8463 | 3.0276 | 17.8769 | 9.1995 | 17.5326 | 17.4261 |
| 3.1118 | 8.0 | 9672 | 3.0229 | 17.552 | 8.6159 | 17.3207 | 17.1968 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
