Vietnamese Correction 2.0
This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset.
Source du modèle
- Type
- Text model
- Taille du fichier
- 1,47 GB
- Modèle de base
- vinai/bartpho-syllable
- Version
- vmodel
- Mis à jour
- 20 oct. 2026
- Éditeur
- @MinhDucNguyen9705
- Téléchargements
- 9
- Source
- Hugging Face
Description de la source
vietnamese-correction-2.0
This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset.
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: 12
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- 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: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
Sources
1 source
Sources
1 sourceVérifié 8 août
Artefacts du modèle
2 artefacts
Artefacts du modèle
2 artefactslast-checkpoint/model.safetensors
safetensors · 1,47 GB · SHA-256 75e96574f835…35eb · Hugging Face
TéléchargerExtraits de sources
3 extraits
Extraits de sources
3 extraits--- library_name: transformers license: mit base_model: vinai/bartpho-syllable tags: - text2text-generation - generated_from_trainer model-index: - name: vietnamese-correction-2.0 results: [] --- <!-- 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-2.0 This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset. ## 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: 12 - eval_batch_size: 48 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 24 - 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: 2 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.57.1 - Pytorch 2.8.0+cu126 - Datasets 4.4.1 - Tokenizers 0.22.1
Source context: 9 downloads · 0 likes · Library transformers · Repo MinhDucNguyen9705/vietnamese-correction-2.0
Source context: 2 downloads · 0 likes · Library transformers · Repo MinhDucNguyen9705/vietnamese-correction-2.0
