Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.2851656675338745

f1: 0.918918918918919

precision: 0.8947368421052632

recall: 0.9444444444444444

auc: 0.9401709401709402

accuracy: 0.9032258064516129

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Model size

85.8M params

Tensor type

F32

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Image Classification

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google/vit-base-patch16-224

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