Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.5226172208786011

f1: 0.8527472527472527

precision: 0.7432950191570882

recall: 1.0

auc: 0.9095966687182644

accuracy: 0.7432950191570882

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Model size

23.6M params

Tensor type

F32

Inference Examples

Image Classification

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