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Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.09381091594696045

f1_macro: 0.990980608373978

f1_micro: 0.9821428571428571

f1_weighted: 0.9820523112758216

precision_macro: 0.9912187088274044

precision_micro: 0.9821428571428571

precision_weighted: 0.9826022256728779

recall_macro: 0.9910671936758894

recall_micro: 0.9821428571428571

recall_weighted: 0.9821428571428571

accuracy: 0.9821428571428571

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Model size

85.8M params

Tensor type

F32

Inference Examples

Image Classification

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google/vit-base-patch16-224

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