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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: 3.0301
- Rouge1: 17.4531
- Rouge2: 9.0091
- Rougel: 17.0836
- Rougelsum: 17.1528
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 |
|---|---|---|---|---|---|---|---|
| 3.6834 | 1.0 | 1209 | 3.2483 | 15.494 | 7.8022 | 15.1402 | 15.2041 |
| 3.6689 | 2.0 | 2418 | 3.1014 | 16.6941 | 8.9493 | 15.9414 | 16.1157 |
| 3.4493 | 3.0 | 3627 | 3.0640 | 16.5731 | 8.2808 | 16.0156 | 16.1514 |
| 3.3175 | 4.0 | 4836 | 3.0375 | 16.8245 | 8.6021 | 16.2052 | 16.3956 |
| 3.2303 | 5.0 | 6045 | 3.0312 | 17.8902 | 9.7012 | 17.3184 | 17.5092 |
| 3.1693 | 6.0 | 7254 | 3.0255 | 16.985 | 8.7225 | 16.6058 | 16.7549 |
| 3.1357 | 7.0 | 8463 | 3.0235 | 17.015 | 9.0093 | 16.7306 | 16.9061 |
| 3.1073 | 8.0 | 9672 | 3.0301 | 17.4531 | 9.0091 | 17.0836 | 17.1528 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
