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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: 3.0393
- Rouge1: 17.3313
- Rouge2: 8.1251
- Rougel: 17.0359
- Rougelsum: 16.9503
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 |
|---|---|---|---|---|---|---|---|
| 6.6665 | 1.0 | 1209 | 3.2917 | 13.908 | 5.5316 | 13.4368 | 13.4302 |
| 3.8961 | 2.0 | 2418 | 3.1711 | 16.247 | 8.7234 | 15.7703 | 15.6964 |
| 3.5801 | 3.0 | 3627 | 3.0917 | 17.3455 | 8.2467 | 16.8631 | 16.8147 |
| 3.4258 | 4.0 | 4836 | 3.0583 | 16.0978 | 7.83 | 15.8065 | 15.7725 |
| 3.3154 | 5.0 | 6045 | 3.0573 | 17.5531 | 8.7811 | 17.2252 | 17.2055 |
| 3.2438 | 6.0 | 7254 | 3.0479 | 17.2072 | 8.0951 | 17.025 | 16.9644 |
| 3.2024 | 7.0 | 8463 | 3.0377 | 17.3692 | 8.1843 | 17.019 | 17.0006 |
| 3.1745 | 8.0 | 9672 | 3.0393 | 17.3313 | 8.1251 | 17.0359 | 16.9503 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.2
- Tokenizers 0.11.0
