<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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: 3.0188
- Rouge1: 17.6619
- Rouge2: 8.3964
- Rougel: 17.21
- Rougelsum: 17.2957
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 |
|---|---|---|---|---|---|---|---|
| 3.4234 | 1.0 | 1209 | 3.1341 | 17.233 | 7.9616 | 16.5414 | 16.5818 |
| 3.4147 | 2.0 | 2418 | 3.0394 | 17.3591 | 8.5266 | 16.9602 | 16.9247 |
| 3.272 | 3.0 | 3627 | 3.0367 | 17.496 | 8.7609 | 17.009 | 17.073 |
| 3.1892 | 4.0 | 4836 | 3.0285 | 17.0912 | 7.7096 | 16.4184 | 16.4531 |
| 3.1275 | 5.0 | 6045 | 3.0354 | 17.9638 | 8.8784 | 17.5191 | 17.5614 |
| 3.0678 | 6.0 | 7254 | 3.0274 | 18.0478 | 8.815 | 17.6459 | 17.7625 |
| 3.0417 | 7.0 | 8463 | 3.0231 | 17.4989 | 8.4363 | 17.1651 | 17.2614 |
| 3.02 | 8.0 | 9672 | 3.0188 | 17.6619 | 8.3964 | 17.21 | 17.2957 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
