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: 2.4213
- Rouge1: 31.833
- Rouge2: 11.5704
- Rougel: 28.3537
- Rougelsum: 29.7517
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 |
|---|---|---|---|---|---|---|---|
| 12.421 | 1.0 | 185 | 4.1761 | 8.5214 | 1.3412 | 8.1063 | 8.2251 |
| 4.6683 | 2.0 | 370 | 2.8343 | 20.6485 | 7.1917 | 18.6741 | 19.4706 |
| 3.6666 | 3.0 | 555 | 2.5616 | 20.3673 | 6.1998 | 18.2531 | 19.0305 |
| 3.3157 | 4.0 | 740 | 2.5002 | 28.4326 | 11.0801 | 25.391 | 26.4882 |
| 3.1834 | 5.0 | 925 | 2.4586 | 29.0975 | 11.3058 | 26.0004 | 27.5342 |
| 3.0983 | 6.0 | 1110 | 2.4191 | 31.5865 | 11.3633 | 27.6063 | 29.6726 |
| 3.0338 | 7.0 | 1295 | 2.4258 | 31.845 | 11.9743 | 28.3534 | 29.8196 |
| 2.9805 | 8.0 | 1480 | 2.4213 | 31.833 | 11.5704 | 28.3537 | 29.7517 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Base model
google/mt5-small