Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.3894089162349701

f1: 0.4625

precision: 0.6379310344827587

recall: 0.3627450980392157

auc: 0.8453785257418476

accuracy: 0.819327731092437

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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/prostate-mri-T2w-v05

Base model

google/vit-large-patch32-384

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