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HCMUS-vietnamese-correction
pqthinh232/HCMUS-vietnamese-correction
HCMUS-vietnamese-correction is a machine learning model from pqthinh232. 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
- mbart
- Access
- Public
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025
- SHA
- 92cbb654
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. -->
HCMUS-vietnamese-correction
This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0225
- Bleu: 89.2375
- Cer: 0.0392
- Wer: 0.0749
- F1: 0.9744
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Cer | Wer | F1 |
|---|---|---|---|---|---|---|---|
| 0.8639 | 1.0 | 573 | 0.0500 | 77.4679 | 0.0732 | 0.1532 | 0.9343 |
| 0.0666 | 2.0 | 1146 | 0.0325 | 84.8950 | 0.0513 | 0.1020 | 0.9600 |
| 0.0425 | 3.0 | 1719 | 0.0271 | 87.0135 | 0.0448 | 0.0893 | 0.9676 |
| 0.032 | 4.0 | 2292 | 0.0244 | 88.0650 | 0.0421 | 0.0825 | 0.9707 |
| 0.026 | 5.0 | 2865 | 0.0230 | 88.7480 | 0.0405 | 0.0781 | 0.9724 |
| 0.0217 | 6.0 | 3438 | 0.0224 | 89.0337 | 0.0394 | 0.0757 | 0.9746 |
| 0.0169 | 7.0 | 4011 | 0.0225 | 89.2375 | 0.0392 | 0.0749 | 0.9744 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025