readme: ---
  language: 
  - Python
  - PyTorch
  tags:
  - cifar
  - cats
  - upsidedown
  license: mit
  datasets:
  - cifar10_reduced
  metrics:
  - Accuracy
  - Precision
  - Recall
  model-index:
  - name: CatsNet
    results:
    - task: 
        type: image-classification  
        name: Image Classification  
      dataset:
        type: cifar10  
        name: CIFAR10_CATS
      metrics:
        - type: Accuracy 
          value: 0.83     
          name: Test Accuracy    
        - type: Precision 
          value: 0.83    
          name: Test Precision 
        - type: Recall 
          value: 0.82     
          name: Test Recall 
  ---
  Model for Fatima Fellowship code challenge. <br>
  Full training and evaluation pipelines can be found at: https://colab.research.google.com/drive/1hjHn6EggRDsxOZz5fMo6ZdT-4aKcUCTt