readme: ---
  tags:
  - image-classification
  - pytorch
  - huggingpics
  datasets:
  - sasha/dog-food
  metrics:
  - accuracy
  - f1
  model-index:
  - name: dog-food-vit-base-patch16-224-in21k
    results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: Dog Food
        type: sasha/dog-food
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9988889098167419
    - task:
        type: image-classification
        name: Image Classification
      dataset:
        name: sasha/dog-food
        type: sasha/dog-food
        config: sasha--dog-food
        split: test
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9977777777777778
        verified: true
      - name: Precision
        type: precision
        value: 0.9966777408637874
        verified: true
      - name: Recall
        type: recall
        value: 1.0
        verified: true
      - name: AUC
        type: auc
        value: 0.9999777777777779
        verified: true
      - name: F1
        type: f1
        value: 0.9983361064891847
        verified: true
      - name: loss
        type: loss
        value: 0.009058385156095028
        verified: true
  ---
  
  # dog-food-vit-base-patch16-224-in21k
  
  
  This model was trained on the `train` split of the [Dogs vs Food](https://huggingface.co/datasets/sasha/dog-food) dataset -- try training your own using the 
  [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb)!
  
  
  
  ## Example Images
  
  
  #### dog
  
  ![dog](images/dog.jpg)
  
  #### food
  
  ![food](images/food.jpg)