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: 3.0627
- Rouge1: 16.0196
- Rouge2: 8.1799
- Rougel: 15.706
- Rougelsum: 15.665
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 |
|---|---|---|---|---|---|---|---|
| 5.2215 | 1.0 | 3183 | 3.2285 | 15.3571 | 7.5876 | 14.8818 | 14.921 |
| 3.5658 | 2.0 | 6366 | 3.1463 | 15.6259 | 7.5423 | 15.066 | 15.0553 |
| 3.337 | 3.0 | 9549 | 3.0946 | 15.952 | 7.9278 | 15.522 | 15.5298 |
| 3.2058 | 4.0 | 12732 | 3.0638 | 14.9256 | 6.9173 | 14.6062 | 14.5762 |
| 3.1088 | 5.0 | 15915 | 3.0617 | 15.7701 | 7.7605 | 15.3497 | 15.4116 |
| 3.0411 | 6.0 | 19098 | 3.0561 | 15.5238 | 7.749 | 15.0419 | 15.1077 |
| 3.0102 | 7.0 | 22281 | 3.0544 | 15.4735 | 7.2486 | 15.0972 | 15.1334 |
| 2.9787 | 8.0 | 25464 | 3.0627 | 16.0196 | 8.1799 | 15.706 | 15.665 |
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