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vietnamese-correction-finetuning
NguyenTan/vietnamese-correction-finetuning
vietnamese-correction-finetuning is a machine learning model from NguyenTan. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mbart
- Access
- Public
- Created
- Jan 27, 2026
- Updated
- Jan 29, 2026
- SHA
- 3b522f61
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. -->
vietnamese-correction-finetuning
This model is a fine-tuned version of bmd1905/vietnamese-correction-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0479
- Sacrebleu: 98.4865
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- 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
- training_steps: 100000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.0015 | 19.0840 | 5000 | 0.0479 | 98.4865 |
| 0.0009 | 38.1679 | 10000 | 0.0527 | 98.4236 |
| 0.0004 | 57.2519 | 15000 | 0.0565 | 98.4868 |
| 0.0005 | 76.3359 | 20000 | 0.0592 | 98.4490 |
| 0.0001 | 95.4198 | 25000 | 0.0635 | 98.4469 |
| 0.0005 | 114.5038 | 30000 | 0.0618 | 98.4037 |
| 0.0002 | 133.5878 | 35000 | 0.0683 | 98.2704 |
| 0.0001 | 152.6718 | 40000 | 0.0692 | 98.3530 |
| 0.0001 | 171.7557 | 45000 | 0.0645 | 98.4299 |
| 0.0002 | 190.8397 | 50000 | 0.0706 | 98.3816 |
| 0.0002 | 209.9237 | 55000 | 0.0683 | 98.3817 |
| 0.0001 | 229.0076 | 60000 | 0.0692 | 98.4246 |
| 0.0 | 248.0916 | 65000 | 0.0764 | 98.2300 |
| 0.0001 | 267.1756 | 70000 | 0.0706 | 98.3508 |
| 0.0 | 286.2595 | 75000 | 0.0711 | 98.3797 |
| 0.0 | 305.3435 | 80000 | 0.0727 | 98.4148 |
| 0.0 | 324.4275 | 85000 | 0.0744 | 98.3722 |
| 0.0 | 343.5115 | 90000 | 0.0723 | 98.3660 |
| 0.0 | 362.5954 | 95000 | 0.0760 | 98.3158 |
| 0.0 | 381.6794 | 100000 | 0.0763 | 98.3326 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu128
- Datasets 4.4.2
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mbart
- License
- apache-2.0
- Created
- Jan 27, 2026
- Updated
- Jan 29, 2026