mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7039
- Rouge1: 18.8926
- Rouge2: 9.9716
- Rougel: 18.0984
- Rougelsum: 17.9782
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.018 | 1.0 | 611 | 2.8602 | 16.5049 | 7.8577 | 16.0553 | 15.8568 |
| 3.6801 | 2.0 | 1222 | 2.8070 | 14.4434 | 6.6539 | 14.122 | 13.817 |
| 3.4617 | 3.0 | 1833 | 2.7783 | 16.0718 | 7.8726 | 15.359 | 15.1215 |
| 3.3465 | 4.0 | 2444 | 2.7362 | 17.127 | 8.8774 | 16.4322 | 16.2438 |
| 3.2436 | 5.0 | 3055 | 2.7196 | 18.8253 | 9.9968 | 17.9656 | 17.9366 |
| 3.1844 | 6.0 | 3666 | 2.7137 | 18.8923 | 10.3424 | 18.215 | 18.1285 |
| 3.1241 | 7.0 | 4277 | 2.7102 | 18.3392 | 9.795 | 17.6282 | 17.4866 |
| 3.1074 | 8.0 | 4888 | 2.7039 | 18.8926 | 9.9716 | 18.0984 | 17.9782 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small