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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: 3.0135
- Rouge1: 16.5421
- Rouge2: 7.9012
- Rougel: 16.2574
- Rougelsum: 16.1537
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 |
|---|---|---|---|---|---|---|---|
| 3.4509 | 1.0 | 1209 | 3.1308 | 17.5055 | 8.164 | 16.9714 | 16.8977 |
| 3.4226 | 2.0 | 2418 | 3.0489 | 16.7302 | 8.1598 | 16.3268 | 16.3168 |
| 3.286 | 3.0 | 3627 | 3.0366 | 16.7244 | 7.9017 | 16.3893 | 16.3728 |
| 3.1859 | 4.0 | 4836 | 3.0219 | 16.9671 | 8.0508 | 16.6206 | 16.5261 |
| 3.1249 | 5.0 | 6045 | 3.0353 | 17.3032 | 8.0195 | 16.9664 | 16.972 |
| 3.0665 | 6.0 | 7254 | 3.0272 | 17.0115 | 7.88 | 16.7424 | 16.7476 |
| 3.0407 | 7.0 | 8463 | 3.0122 | 17.3339 | 8.0171 | 16.9919 | 16.9449 |
| 3.0248 | 8.0 | 9672 | 3.0135 | 16.5421 | 7.9012 | 16.2574 | 16.1537 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3
