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HCMUS-vietnamese-correction-project-60k
pqthinh232/HCMUS-vietnamese-correction-project-60k
HCMUS-vietnamese-correction-project-60k 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
- Jan 1, 2026
- Updated
- Jan 1, 2026
- SHA
- 18c389bd
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-project-60k
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: 0.0213
- Bleu: 41.8607
- Cer: 0.4352
- Wer: 0.4528
- F1: 0.8066
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Cer | Wer | F1 |
|---|---|---|---|---|---|---|---|
| 0.3907 | 1.0 | 782 | 0.0338 | 38.5848 | 0.4445 | 0.4752 | 0.7890 |
| 0.0355 | 2.0 | 1564 | 0.0240 | 40.8109 | 0.4392 | 0.4608 | 0.8004 |
| 0.0278 | 3.0 | 2346 | 0.0225 | 41.5211 | 0.4360 | 0.4551 | 0.8048 |
| 0.021 | 4.0 | 3128 | 0.0220 | 41.6801 | 0.4350 | 0.4533 | 0.8063 |
| 0.0187 | 5.0 | 3910 | 0.0213 | 41.8607 | 0.4352 | 0.4528 | 0.8066 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Jan 1, 2026
- Updated
- Jan 1, 2026