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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: 3.0132
- Rouge1: 16.4719
- Rouge2: 7.9366
- Rougel: 16.2123
- Rougelsum: 16.2853
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
- distributed_type: multi-GPU
- 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 |
|---|---|---|---|---|---|---|---|
| 3.9249 | 1.0 | 1209 | 3.1904 | 15.8207 | 8.0555 | 15.4584 | 15.648 |
| 3.5688 | 2.0 | 2418 | 3.0812 | 16.3271 | 8.1479 | 15.9001 | 16.0134 |
| 3.3905 | 3.0 | 3627 | 3.0442 | 15.9864 | 7.295 | 15.4247 | 15.5848 |
| 3.2728 | 4.0 | 4836 | 3.0304 | 16.2893 | 7.5851 | 15.9494 | 16.0117 |
| 3.1958 | 5.0 | 6045 | 3.0169 | 15.4888 | 7.4495 | 15.2244 | 15.2326 |
| 3.1359 | 6.0 | 7254 | 3.0158 | 16.3866 | 8.2218 | 16.0625 | 16.0953 |
| 3.1059 | 7.0 | 8463 | 3.0075 | 15.9134 | 7.8387 | 15.626 | 15.6499 |
| 3.0852 | 8.0 | 9672 | 3.0132 | 16.4719 | 7.9366 | 16.2123 | 16.2853 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.2
