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vietnamese-correction-2.0 – AI Model by trungnd7112004 | AlphaNeural AI
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trungnd7112004
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vietnamese-correction-2.0
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
vinai/bartpho-syllable
finetune
mit
endpoints_compatible
us
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vietnamese-correction-2.0
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: 0.3621
Model Preparation Time: 0.0308
Sacrebleu: 32.1298
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 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
