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mt5-small-finetuned-amazon-es
This model is a fine-tuned version of google/mt5-small on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 2.8877
- Rouge1: 12.5959
- Rouge2: 6.541
- Rougel: 12.4351
- Rougelsum: 12.2872
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 |
|---|---|---|---|---|---|---|---|
| 10.7598 | 1.0 | 439 | 3.3647 | 6.8015 | 1.522 | 6.7566 | 6.6935 |
| 4.6043 | 2.0 | 878 | 3.0154 | 13.0236 | 4.258 | 12.8286 | 12.8619 |
| 4.0593 | 3.0 | 1317 | 2.9726 | 12.6059 | 5.7546 | 12.2192 | 12.2128 |
| 3.82 | 4.0 | 1756 | 2.9247 | 14.4714 | 5.7779 | 14.1695 | 14.1091 |
| 3.6676 | 5.0 | 2195 | 2.9124 | 13.3845 | 6.7018 | 13.2512 | 13.1154 |
| 3.5678 | 6.0 | 2634 | 2.8913 | 12.9049 | 6.2959 | 12.7556 | 12.6255 |
| 3.4971 | 7.0 | 3073 | 2.8911 | 12.7622 | 6.5549 | 12.631 | 12.4987 |
| 3.4737 | 8.0 | 3512 | 2.8877 | 12.5959 | 6.541 | 12.4351 | 12.2872 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.13.3
