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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: 3.0294
- Rouge1: 16.4846
- Rouge2: 7.8849
- Rougel: 16.2726
- Rougelsum: 16.2173
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 |
|---|---|---|---|---|---|---|---|
| 6.5928 | 1.0 | 1209 | 3.3005 | 14.7927 | 6.4642 | 14.3032 | 14.2436 |
| 3.9024 | 2.0 | 2418 | 3.1399 | 16.8294 | 8.5707 | 16.1439 | 16.133 |
| 3.5806 | 3.0 | 3627 | 3.0869 | 18.1262 | 9.1916 | 17.7121 | 17.7184 |
| 3.4201 | 4.0 | 4836 | 3.0590 | 17.6134 | 8.915 | 17.209 | 17.1519 |
| 3.3202 | 5.0 | 6045 | 3.0598 | 17.6322 | 8.5392 | 17.4438 | 17.3057 |
| 3.2436 | 6.0 | 7254 | 3.0409 | 16.7409 | 8.107 | 16.5385 | 16.496 |
| 3.2079 | 7.0 | 8463 | 3.0332 | 16.722 | 8.0183 | 16.4492 | 16.4297 |
| 3.1801 | 8.0 | 9672 | 3.0294 | 16.4846 | 7.8849 | 16.2726 | 16.2173 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
