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Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.11630760878324509

f1: 0.970191150915653

precision: 0.9802809292274446

recall: 0.9603069595130987

auc: 0.9915818046960203

accuracy: 0.9629075182967398

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Model size

195M params

Tensor type

F32

Inference Examples

Image Classification

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Base model

microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft

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