lynguyenthuong/NLP_vit5-vietnamese-spelling-checker

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NLP_vit5-vietnamese-spelling-checker

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.5031
• —Accuracy: 81.6
• —Cer: 0.36

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: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 32
• —seed: 3407
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —PEFT 0.17.1
• —Transformers 4.57.1
• —Pytorch 2.8.0+cu126
• —Datasets 4.4.1
• —Tokenizers 0.22.1