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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: 3.0210
- Rouge1: 17.0885
- Rouge2: 8.4139
- Rougel: 16.6189
- Rougelsum: 16.7761
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.706 | 1.0 | 1209 | 3.2245 | 16.2371 | 7.969 | 15.6425 | 15.7165 |
| 3.6602 | 2.0 | 2418 | 3.0803 | 16.6646 | 7.7573 | 16.0524 | 16.1609 |
| 3.4306 | 3.0 | 3627 | 3.0504 | 17.9626 | 9.2086 | 17.4429 | 17.5335 |
| 3.3144 | 4.0 | 4836 | 3.0394 | 17.7522 | 8.4791 | 17.2721 | 17.36 |
| 3.2345 | 5.0 | 6045 | 3.0431 | 17.3159 | 8.5519 | 17.0148 | 17.0964 |
| 3.1684 | 6.0 | 7254 | 3.0299 | 17.4355 | 8.6873 | 17.0855 | 17.2222 |
| 3.1375 | 7.0 | 8463 | 3.0238 | 16.8874 | 8.3565 | 16.4901 | 16.6159 |
| 3.112 | 8.0 | 9672 | 3.0210 | 17.0885 | 8.4139 | 16.6189 | 16.7761 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
