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: 3.0656
- Rouge1: 15.6444
- Rouge2: 7.1213
- Rougel: 15.1199
- Rougelsum: 15.1977
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 |
|---|---|---|---|---|---|---|---|
| 7.1956 | 1.0 | 1209 | 3.3170 | 14.3233 | 5.9058 | 14.2101 | 14.1479 |
| 3.8992 | 2.0 | 2418 | 3.2469 | 17.2106 | 8.2802 | 16.5694 | 16.6279 |
| 3.6016 | 3.0 | 3627 | 3.1369 | 16.6585 | 8.3859 | 16.0162 | 16.0873 |
| 3.4161 | 4.0 | 4836 | 3.1090 | 16.4091 | 7.9873 | 15.9314 | 15.9518 |
| 3.3189 | 5.0 | 6045 | 3.0682 | 15.9424 | 7.1211 | 15.4668 | 15.4841 |
| 3.2496 | 6.0 | 7254 | 3.0482 | 15.8669 | 7.273 | 15.3226 | 15.363 |
| 3.1971 | 7.0 | 8463 | 3.0712 | 15.9518 | 7.2165 | 15.3741 | 15.4616 |
| 3.1778 | 8.0 | 9672 | 3.0656 | 15.6444 | 7.1213 | 15.1199 | 15.1977 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google/mt5-small