Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.1774035394191742

f1: 0.9329446064139941

precision: 0.954653937947494

recall: 0.9122006841505131

auc: 0.9865613292067112

accuracy: 0.9547778214707039

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Model size

306M params

Tensor type

F32

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Image Classification

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Model tree for Emilio407/Prostate158-PI-CAI-MRI-Tumor-T2W-ADC-HBV-DWI-v01

Base model

google/vit-large-patch32-384

Finetuned

(9)

this model