README.md

metadata

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.
Full training and evaluation pipelines can be found at: https://colab.research.google.com/drive/1hjHn6EggRDsxOZz5fMo6ZdT-4aKcUCTt