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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: my-custom-vinai
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # my-custom-vinai
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- This model is a fine-tuned version of [/kaggle/input/vietnamese-corrector/kaggle/working/models/my-custom-vinai](https://huggingface.co//kaggle/input/vietnamese-corrector/kaggle/working/models/my-custom-vinai) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2273
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  - Cer: 0.0246
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-08
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 0.5
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  - mixed_precision_training: Native AMP
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-
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- ### Training results
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- ### Framework versions
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-
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- - Transformers 4.26.1
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- - Pytorch 1.13.0
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- - Datasets 2.1.0
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- - Tokenizers 0.13.2
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: bartpho-syllable-finetuned-vietnamese_corrector
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # bartpho-syllable-finetuned-vietnamese_corrector
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+ This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2273
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  - Cer: 0.0246
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+ ## Training hyperparameters
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-04
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
 
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  - mixed_precision_training: Native AMP