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: 3.1428
- Rouge1: 0.1282
- Rouge2: 0.0526
- Rougel: 0.1213
- Rougelsum: 0.1204
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 9.2720 | 1.0 | 611 | 3.4239 | 0.1017 | 0.0381 | 0.0986 | 0.0993 |
| 4.7209 | 2.0 | 1222 | 3.1428 | 0.1282 | 0.0526 | 0.1213 | 0.1204 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0
- Datasets 4.8.5
- Tokenizers 0.22.2