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: 3.0884
- Rouge1: 17.1847
- Rouge2: 8.3579
- Rougel: 16.7437
- Rougelsum: 16.7013
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.0911 | 1.0 | 1209 | 3.3147 | 13.5672 | 5.2491 | 13.2852 | 13.2424 |
| 3.9482 | 2.0 | 2418 | 3.1565 | 16.6427 | 7.9417 | 15.9819 | 15.9061 |
| 3.6511 | 3.0 | 3627 | 3.1186 | 17.3001 | 8.7502 | 16.7138 | 16.7334 |
| 3.5201 | 4.0 | 4836 | 3.0969 | 16.7251 | 7.8414 | 16.0046 | 15.9171 |
| 3.456 | 5.0 | 6045 | 3.0884 | 17.1847 | 8.3579 | 16.7437 | 16.7013 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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