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: 3.2659
- Rouge1: 13.7437
- Rouge2: 5.9153
- Rougel: 13.4146
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 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 |
|---|---|---|---|---|---|---|
| 9.4301 | 1.0 | 625 | 3.5851 | 8.6109 | 2.4991 | 8.3173 |
| 4.6907 | 2.0 | 1250 | 3.4105 | 11.1544 | 4.3475 | 10.7786 |
| 4.1916 | 3.0 | 1875 | 3.3443 | 10.8192 | 3.848 | 10.44 |
| 3.971 | 4.0 | 2500 | 3.3001 | 12.7096 | 5.0292 | 12.3085 |
| 3.8402 | 5.0 | 3125 | 3.2788 | 12.1184 | 4.5893 | 11.7314 |
| 3.7106 | 6.0 | 3750 | 3.2795 | 13.748 | 5.907 | 13.5413 |
| 3.6523 | 7.0 | 4375 | 3.2702 | 13.6669 | 5.8956 | 13.3843 |
| 3.6315 | 8.0 | 5000 | 3.2659 | 13.7437 | 5.9153 | 13.4146 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small