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README.md
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- Model Type: Image Classification
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- Model Architecture: Vision Transformer (ViT)
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- Fine-tuning:
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- Fine-tuned on Food Image Classification Dataset
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- Optimizer: AdamW
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- Epochs: 20
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- Model Performance: Achieved an accuracy of 96.23% on all of the kinds of Food Image Classification Dataset
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- Model Type: Image Classification
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- Model Architecture: Vision Transformer (ViT)
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- Fine-tuning:
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- Fine-tuned on Food Image Classification Dataset by using 12 varieties of these 35 varieties
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- Optimizer: AdamW
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- Epochs: 20
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- Model Performance: Achieved an accuracy of 96.23% on all of the kinds of Food Image Classification Dataset
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