| --- |
| library_name: transformers |
| license: mit |
| base_model: vinai/bartpho-syllable |
| tags: |
| - text2text-generation |
| - generated_from_trainer |
| metrics: |
| - sacrebleu |
| model-index: |
| - name: vietnamese-correction-v1 |
| 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-v1 |
|
|
| This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1499 |
| - Sacrebleu: 36.9979 |
|
|
| ## Model description |
|
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
|
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| More information needed |
|
|
| ## Training procedure |
|
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| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 12 |
| - eval_batch_size: 48 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 48 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
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| |
| |
| ### Framework versions |
| |
| - Transformers 4.50.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
| |
