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mt5-small-google-finetuned-amazon-en-es
shzamalam/mt5-small-google-finetuned-amazon-en-es
mt5-small-google-finetuned-amazon-en-es is a summarization model from shzamalam. 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
- t5
- Access
- Public
- Created
- Aug 5, 2025
- Updated
- Aug 5, 2025
- SHA
- 8dc653b2
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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-google-finetuned-amazon-en-es
This model is a fine-tuned version of akahana/mt5-small-google on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.3094
- Model Preparation Time: 0.0043
- Rouge1: 3.9907
- Rouge2: 0.0
- Rougel: 3.728
- Rougelsum: 3.7451
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 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 | Model Preparation Time | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 36.3235 | 1.0 | 1209 | 10.4603 | 0.0043 | 1.9526 | 0.0 | 1.9645 | 1.9549 |
| 10.1253 | 2.0 | 2418 | 7.8354 | 0.0043 | 2.7987 | 0.0 | 2.738 | 2.7197 |
| 8.2571 | 3.0 | 3627 | 7.1225 | 0.0043 | 2.7838 | 0.0 | 2.7297 | 2.7215 |
| 7.5278 | 4.0 | 4836 | 6.7621 | 0.0043 | 3.6597 | 0.0 | 3.4788 | 3.4724 |
| 7.1356 | 5.0 | 6045 | 6.5444 | 0.0043 | 3.8173 | 0.0 | 3.5713 | 3.5866 |
| 6.8907 | 6.0 | 7254 | 6.3968 | 0.0043 | 3.8173 | 0.0 | 3.5334 | 3.5352 |
| 6.753 | 7.0 | 8463 | 6.3399 | 0.0043 | 3.9907 | 0.0 | 3.728 | 3.7451 |
| 6.6743 | 8.0 | 9672 | 6.3094 | 0.0043 | 3.9907 | 0.0 | 3.728 | 3.7451 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Aug 5, 2025
- Updated
- Aug 5, 2025