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snacks_classifier

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0090
  • Accuracy: 0.8908
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Dataset used to train anggtpd/snacks_classifier