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mt5-small-finetuned-amazon-en-es
xipho/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from xipho. 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 23, 2026
- Updated
- Jul 23, 2026
- SHA
- 3ea5be87
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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: 3.1428
- Rouge1: 0.1282
- Rouge2: 0.0526
- Rougel: 0.1213
- Rougelsum: 0.1204
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 9.2720 | 1.0 | 611 | 3.4239 | 0.1017 | 0.0381 | 0.0986 | 0.0993 |
| 4.7209 | 2.0 | 1222 | 3.1428 | 0.1282 | 0.0526 | 0.1213 | 0.1204 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026