Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.06105376407504082

f1: 0.9850746268656716

precision: 0.9801980198019802

recall: 0.99

auc: 0.998925

accuracy: 0.985

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Model size

85.8M params

Tensor type

F32

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Image Classification

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Model tree for vivi3n789/deepfake-custom

Base model

google/vit-base-patch16-224-in21k

Finetuned

dima806/deepfake_vs_real_image_detection

Finetuned

(8)

this model