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mt5-small-finetuned-amazon-en-es
raevas2010/mt5-small-finetuned-amazon-en-es
mt5-small-finetuned-amazon-en-es is a summarization model from raevas2010. 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
- Oct 19, 2025
- Updated
- Oct 19, 2025
- SHA
- 9f6272e2
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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: 2.3921
- Rouge1: 7.0151
- Rouge2: 0.6
- Rougel: 7.0333
- Rougelsum: 6.9395
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 |
|---|---|---|---|---|---|---|---|
| 3.4784 | 1.0 | 625 | 2.5594 | 6.25 | 0.7067 | 6.2865 | 6.2728 |
| 3.2115 | 2.0 | 1250 | 2.4967 | 6.7843 | 0.5289 | 6.7959 | 6.7294 |
| 3.0575 | 3.0 | 1875 | 2.4596 | 6.7504 | 0.6433 | 6.8155 | 6.7 |
| 2.956 | 4.0 | 2500 | 2.4379 | 7.2913 | 0.4 | 7.3238 | 7.2337 |
| 2.883 | 5.0 | 3125 | 2.4064 | 6.8787 | 0.7143 | 6.9276 | 6.7916 |
| 2.8382 | 6.0 | 3750 | 2.3953 | 6.5828 | 0.8 | 6.6261 | 6.5019 |
| 2.7979 | 7.0 | 4375 | 2.3891 | 6.3757 | 0.48 | 6.4214 | 6.2943 |
| 2.776 | 8.0 | 5000 | 2.3921 | 7.0151 | 0.6 | 7.0333 | 6.9395 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.20.3
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Oct 19, 2025
- Updated
- Oct 19, 2025