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# Vision Transformer fine-tuned on `Matthijs/snacks` dataset
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Vision Transformer (ViT) model pre-trained on ImageNet-21k and fine-tuned [**Matthijs/snacks**](https://huggingface.co/datasets/Matthijs/snacks)
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The model achieves a **94.97%** and **94.43%** accuracy on the validation and test set, respectively.
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# Vision Transformer fine-tuned on `Matthijs/snacks` dataset
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Vision Transformer (ViT) model pre-trained on ImageNet-21k and fine-tuned on [**Matthijs/snacks**](https://huggingface.co/datasets/Matthijs/snacks) for 5 epochs using various data augmentation transformations from `torchvision`.
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The model achieves a **94.97%** and **94.43%** accuracy on the validation and test set, respectively.
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