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: 3.0303
- Rouge1: 16.6574
- Rouge2: 7.6087
- Rougel: 16.1121
- Rougelsum: 15.9789
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 | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.9675 | 1.0 | 1209 | 3.2986 | 15.3405 | 6.9182 | 14.865 | 14.7651 |
| 3.8997 | 2.0 | 2418 | 3.1665 | 16.2945 | 7.6832 | 15.7433 | 15.6692 |
| 3.5826 | 3.0 | 3627 | 3.1106 | 17.1601 | 8.4608 | 16.5709 | 16.3502 |
| 3.421 | 4.0 | 4836 | 3.0963 | 17.3293 | 8.7427 | 16.8713 | 16.7387 |
| 3.3089 | 5.0 | 6045 | 3.0490 | 16.7504 | 7.5971 | 16.138 | 16.072 |
| 3.2437 | 6.0 | 7254 | 3.0401 | 16.7586 | 7.8912 | 16.0112 | 15.8733 |
| 3.2133 | 7.0 | 8463 | 3.0292 | 16.3509 | 7.6271 | 15.9685 | 15.827 |
| 3.1851 | 8.0 | 9672 | 3.0303 | 16.6574 | 7.6087 | 16.1121 | 15.9789 |
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