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vit5-finetuned-vietnamese
Dat1710/vit5-finetuned-vietnamese
vit5-finetuned-vietnamese is a machine learning model from Dat1710. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025
- SHA
- 61b307fc
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. -->
vit5-finetuned-vietnamese
This model is a fine-tuned version of VietAI/vit5-base-vietnews-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3329
- Rouge1: 61.9
- Rouge2: 50.51
- Rougel: 55.7
- Rougelsum: 55.62
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: 5e-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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.3847 | 0.5305 | 200 | 0.2717 | 61.27 | 49.26 | 54.8 | 54.79 |
| 0.2647 | 1.0610 | 400 | 0.2773 | 62.02 | 50.1 | 55.55 | 55.49 |
| 0.2434 | 1.5915 | 600 | 0.2792 | 61.86 | 49.86 | 55.34 | 55.34 |
| 0.1381 | 2.1220 | 800 | 0.2991 | 61.76 | 49.71 | 55.29 | 55.26 |
| 0.1344 | 2.6525 | 1000 | 0.3012 | 61.4 | 49.52 | 55.07 | 55.04 |
| 0.0917 | 3.1830 | 1200 | 0.3177 | 61.36 | 49.89 | 55.28 | 55.27 |
| 0.0922 | 3.7135 | 1400 | 0.3238 | 61.81 | 49.85 | 55.43 | 55.38 |
| 0.0617 | 4.2440 | 1600 | 0.3280 | 61.85 | 50.29 | 55.51 | 55.45 |
| 0.0567 | 4.7745 | 1800 | 0.3329 | 61.9 | 50.51 | 55.7 | 55.62 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025