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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: 2.9624
- Rouge1: 13.5483
- Rouge2: 5.8705
- Rougel: 13.4874
- Rougelsum: 13.5096
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 |
|---|---|---|---|---|---|---|---|
| 6.0643 | 1.0 | 2201 | 3.1809 | 9.7343 | 3.3747 | 9.618 | 9.5626 |
| 3.6469 | 2.0 | 4402 | 3.0471 | 10.6825 | 3.6312 | 10.6077 | 10.6607 |
| 3.3978 | 3.0 | 6603 | 2.9941 | 11.3078 | 4.3662 | 11.2585 | 11.1503 |
| 3.2626 | 4.0 | 8804 | 2.9708 | 12.0216 | 4.1979 | 11.8896 | 11.8944 |
| 3.1728 | 5.0 | 11005 | 2.9692 | 12.905 | 4.8062 | 12.8674 | 12.8577 |
| 3.1046 | 6.0 | 13206 | 2.9618 | 13.3125 | 5.7428 | 13.2373 | 13.223 |
| 3.069 | 7.0 | 15407 | 2.9644 | 13.8965 | 6.0565 | 13.9164 | 13.8888 |
| 3.0409 | 8.0 | 17608 | 2.9624 | 13.5483 | 5.8705 | 13.4874 | 13.5096 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
