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vietnamese-correction-v2 – AI Model by kimnhuvu276 | AlphaNeural AI
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vietnamese-correction-v2
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
vinai/bartpho-syllable
finetune
mit
endpoints_compatible
us
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vietnamese-correction-v2
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: 0.4944
Model Preparation Time: 0.0149
Sacrebleu: 23.7496
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1
