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