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: 3.2107
- Rouge1: 16.5873
- Rouge2: 8.3667
- Rougel: 16.096
- Rougelsum: 16.0654
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: 10
- eval_batch_size: 10
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.4326 | 1.0 | 968 | 3.3609 | 14.4654 | 5.3488 | 14.1032 | 14.1348 |
| 4.1082 | 2.0 | 1936 | 3.2265 | 15.9058 | 7.6084 | 15.3178 | 15.3304 |
| 3.8946 | 3.0 | 2904 | 3.2107 | 16.5873 | 8.3667 | 16.096 | 16.0654 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
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Base model
google/mt5-small