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Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.6824218034744263

f1: 0.5333333333333333

precision: 0.6666666666666666

recall: 0.4444444444444444

auc: 0.654320987654321

accuracy: 0.6111111111111112

Downloads last month: 4

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Model size

23.6M params

Tensor type

F32

Inference Examples

Image Classification

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microsoft/resnet-50

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