README.md

language:

• Python
• PyTorch tags:
• cifar
• cats
• upsidedown license: mit datasets:
• cifar10 metrics:
• Accuracy
• Precision
• Recall

model-index:

• name: CatsNet results:
  • task: type: image-classification # Required. Example: automatic-speech-recognition name: Image Classification # Optional. Example: Speech Recognition dataset: type: cifar10 # Required. Example: common_voice. Use dataset id from https://hf.co/datasets name: CIFAR10 # Optional. Example: Common Voice zh-CN metrics:
    • type: Accuracy # Required. Example: wer value: 0.83 # Required. Example: 20.90 name: Test Accuracy # Optional. Example: Test WER
      • type: Precision # Required. Example: wer value: 0.83 # Required. Example: 20.90 name: Test Precision # Optional. Example: Test WER
      • type: Recall # Required. Example: wer value: 0.82 # Required. Example: 20.90 name: Test Recall # Optional. Example: Test WER