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mt5-small-finetuned-amazon-en-es
jpilik/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from jpilik. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jul 17, 2025
- Updated
- Jul 18, 2025
- SHA
- d209e289
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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: 3.0360
- Rouge1: 0.1681
- Rouge2: 0.0806
- Rougel: 0.1659
- Rougelsum: 0.1644
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.4116 | 1.0 | 1209 | 4.7712 | 0.1894 | 0.0970 | 0.1849 | 0.1842 |
| 3.6196 | 2.0 | 2418 | 3.1344 | 0.1705 | 0.0797 | 0.1666 | 0.1668 |
| 3.3503 | 3.0 | 3627 | 3.0873 | 0.1665 | 0.0733 | 0.1629 | 0.1623 |
| 3.2243 | 4.0 | 4836 | 3.0761 | 0.1676 | 0.0763 | 0.1654 | 0.1640 |
| 3.133 | 5.0 | 6045 | 3.0613 | 0.1732 | 0.0816 | 0.1710 | 0.1696 |
| 3.0915 | 6.0 | 7254 | 3.0364 | 0.1623 | 0.0775 | 0.1603 | 0.1599 |
| 3.0527 | 7.0 | 8463 | 3.0387 | 0.1709 | 0.0826 | 0.1691 | 0.1680 |
| 3.0343 | 8.0 | 9672 | 3.0360 | 0.1681 | 0.0806 | 0.1659 | 0.1644 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.0
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jul 17, 2025
- Updated
- Jul 18, 2025