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NLP_vit5-vietnamese-spelling-checker
lynguyenthuong/NLP_vit5-vietnamese-spelling-checker
NLP_vit5-vietnamese-spelling-checker is a machine learning model from lynguyenthuong. 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 peft. 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
- peft
- License
- mit
- Access
- Public
- Created
- Jan 1, 2026
- Updated
- Jan 1, 2026
- SHA
- 03b9c2e8
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. -->
NLP_vit5-vietnamese-spelling-checker
This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5031
- Accuracy: 81.6
- Cer: 0.36
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 32
- seed: 3407
- gradient_accumulation_steps: 2
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Accuracy | Cer | Validation Loss |
|---|---|---|---|---|---|
| 1.6063 | 0.32 | 3000 | 69.8 | 1.85 | 1.5663 |
| 1.5646 | 0.64 | 6000 | 76.0 | 0.5 | 1.5308 |
| 1.5485 | 0.96 | 9000 | 78.0 | 0.44 | 1.5135 |
| 1.5319 | 1.28 | 12000 | 79.7 | 0.35 | 1.5068 |
| 1.5251 | 1.6 | 15000 | 1.5051 | 81.3 | 0.34 |
| 1.525 | 1.92 | 18000 | 1.5031 | 81.6 | 0.36 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- peft
- License
- mit
- Created
- Jan 1, 2026
- Updated
- Jan 1, 2026