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vn-spelling-correction – AI Model by DangDecTen | AlphaNeural AI

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DangDecTen/
vn-spelling-correction

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text2text-generation

generated_from_trainer

vinai/bartpho-syllable

endpoints_compatible

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vn-spelling-correction

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: 0.3620
Model Preparation Time: 0.0068
Sacrebleu: 32.1905

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: 4
total_train_batch_size: 48
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: 10
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1