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vietnamese-correction-nlp – AI Model by chamdentimem | AlphaNeural AI
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chamdentimem
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vietnamese-correction-nlp
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
vinai/bartpho-syllable
finetune
endpoints_compatible
us
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vietnamese-correction-nlp
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: 0.1795
Sacrebleu: 26.6215
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: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
0.4541
0.4
5000
0.2183
25.8874
0.2794
0.8
10000
0.1835
26.5453
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
