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Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.08583971858024597

f1: 0.9841642228739003

precision: 0.9940758293838863

recall: 0.9744483159117305

auc: 0.9978146585977138

accuracy: 0.976824034334764

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Model size

85.8M params

Tensor type

F32

Inference Examples

Image Classification

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Base model

google/vit-base-patch16-224

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