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mt5-small-finetuned-amazon-en-es
IlyesAb/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from IlyesAb. 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 19, 2025
- Updated
- Dec 19, 2025
- SHA
- 805fb63f
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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: 3.0357
- Rouge1: 17.1269
- Rouge2: 8.2287
- Rougel: 16.5766
- Rougelsum: 16.5551
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_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 |
|---|---|---|---|---|---|---|---|
| 6.5252 | 1.0 | 1209 | 3.3096 | 13.9556 | 5.7543 | 13.5465 | 13.5156 |
| 3.9131 | 2.0 | 2418 | 3.1712 | 16.6317 | 8.4008 | 16.1719 | 16.0248 |
| 3.5892 | 3.0 | 3627 | 3.1078 | 16.9908 | 8.8871 | 16.4323 | 16.4496 |
| 3.4227 | 4.0 | 4836 | 3.0850 | 17.6382 | 9.2124 | 17.0876 | 16.9337 |
| 3.3185 | 5.0 | 6045 | 3.0580 | 17.3244 | 8.7532 | 16.7803 | 16.746 |
| 3.251 | 6.0 | 7254 | 3.0404 | 16.9059 | 7.9694 | 16.2362 | 16.1888 |
| 3.2086 | 7.0 | 8463 | 3.0362 | 17.2803 | 8.1514 | 16.6794 | 16.6264 |
| 3.1737 | 8.0 | 9672 | 3.0357 | 17.1269 | 8.2287 | 16.5766 | 16.5551 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Dec 19, 2025
- Updated
- Dec 19, 2025