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finetuned-BERTpho-syllable-V-correction – AI Model by DucPhamF8 | AlphaNeural AI
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DucPhamF8
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finetuned-BERTpho-syllable-V-correction
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tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
vinai/bartpho-syllable
finetune
us
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Model card
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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: 0.1848
Sacrebleu: 34.8103
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
