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: 3.2517
- Rouge1: 16.3136
- Rouge2: 7.8248
- Rougel: 15.9716
- Rougelsum: 15.9051
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 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 |
|---|---|---|---|---|---|---|---|
| 7.3625 | 1.0 | 838 | 3.5578 | 12.7346 | 5.8021 | 12.3832 | 12.3684 |
| 4.0118 | 2.0 | 1676 | 3.4019 | 14.0149 | 7.2416 | 13.8981 | 13.964 |
| 3.6696 | 3.0 | 2514 | 3.3318 | 16.0888 | 7.9726 | 15.6527 | 15.6547 |
| 3.4746 | 4.0 | 3352 | 3.3019 | 15.803 | 7.4727 | 15.3425 | 15.4333 |
| 3.3595 | 5.0 | 4190 | 3.2479 | 15.913 | 7.1325 | 15.5449 | 15.4792 |
| 3.2819 | 6.0 | 5028 | 3.2789 | 16.2953 | 7.588 | 15.9167 | 15.9507 |
| 3.2384 | 7.0 | 5866 | 3.2483 | 16.1419 | 7.7165 | 15.7941 | 15.732 |
| 3.2074 | 8.0 | 6704 | 3.2517 | 16.3136 | 7.8248 | 15.9716 | 15.9051 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
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Base model
google/mt5-small