mt5-small-finetuned-amazon-reviews-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: 3.0821
- Rouge1: 16.9898
- Rouge2: 8.8591
- Rougel: 16.4898
- Rougelsum: 16.4049
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 303 | 3.8547 | 8.3494 | 2.0589 | 8.0829 | 8.1616 |
| No log | 2.0 | 606 | 3.2801 | 13.8562 | 5.4287 | 13.5685 | 13.5248 |
| No log | 3.0 | 909 | 3.1936 | 14.808 | 6.5817 | 14.0409 | 13.997 |
| 5.736 | 4.0 | 1212 | 3.1461 | 15.1274 | 7.8439 | 14.7732 | 14.7881 |
| 5.736 | 5.0 | 1515 | 3.1016 | 16.5746 | 8.598 | 16.0209 | 15.9155 |
| 5.736 | 6.0 | 1818 | 3.0917 | 16.6895 | 8.8052 | 16.1651 | 16.0524 |
| 5.736 | 7.0 | 2121 | 3.0836 | 16.9473 | 8.8697 | 16.4392 | 16.3241 |
| 3.7032 | 8.0 | 2424 | 3.0821 | 16.9898 | 8.8591 | 16.4898 | 16.4049 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
google/mt5-small