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: 3.0295
- Rouge1: 17.3239
- Rouge2: 8.3252
- Rougel: 16.9877
- Rougelsum: 16.9491
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 |
|---|---|---|---|---|---|---|---|
| 6.5794 | 1.0 | 1209 | 3.2991 | 14.2697 | 5.8959 | 13.9629 | 14.019 |
| 3.8873 | 2.0 | 2418 | 3.1327 | 16.4495 | 8.0475 | 16.0014 | 15.8747 |
| 3.5776 | 3.0 | 3627 | 3.0835 | 17.5812 | 8.9516 | 17.0727 | 17.0682 |
| 3.4167 | 4.0 | 4836 | 3.0604 | 16.8649 | 8.0349 | 16.3734 | 16.4011 |
| 3.3178 | 5.0 | 6045 | 3.0599 | 17.4474 | 8.2552 | 17.1422 | 17.1661 |
| 3.242 | 6.0 | 7254 | 3.0396 | 17.8629 | 8.9654 | 17.5915 | 17.5903 |
| 3.2067 | 7.0 | 8463 | 3.0341 | 17.6749 | 8.8579 | 17.3253 | 17.3087 |
| 3.179 | 8.0 | 9672 | 3.0295 | 17.3239 | 8.3252 | 16.9877 | 16.9491 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
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