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mt5-small-finetuned-amazon-en-es
Minimartzz/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from Minimartzz. 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
- Dec 30, 2025
- Updated
- Dec 30, 2025
- SHA
- a3af9b8e
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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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0322
- Rouge1: 0.1611
- Rouge2: 0.0718
- Rougel: 0.1587
- Rougelsum: 0.1567
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 adamw_torch_fused 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 |
|---|---|---|---|---|---|---|---|
| 3.6677 | 1.0 | 1209 | 3.2304 | 0.1660 | 0.0856 | 0.1599 | 0.1579 |
| 3.6571 | 2.0 | 2418 | 3.1287 | 0.1768 | 0.0929 | 0.1721 | 0.1707 |
| 3.4439 | 3.0 | 3627 | 3.0702 | 0.1723 | 0.0875 | 0.1688 | 0.1669 |
| 3.3187 | 4.0 | 4836 | 3.0642 | 0.1622 | 0.0766 | 0.1612 | 0.1592 |
| 3.2335 | 5.0 | 6045 | 3.0544 | 0.1699 | 0.0798 | 0.1679 | 0.1665 |
| 3.1689 | 6.0 | 7254 | 3.0429 | 0.1616 | 0.0697 | 0.1587 | 0.1563 |
| 3.1356 | 7.0 | 8463 | 3.0277 | 0.1588 | 0.0695 | 0.1559 | 0.1539 |
| 3.1012 | 8.0 | 9672 | 3.0322 | 0.1611 | 0.0718 | 0.1587 | 0.1567 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Dec 30, 2025
- Updated
- Dec 30, 2025