vivi3n789
/

autotrain-vivi3n

Image Classification

Trained with AutoTrain

Model card Files Files and versions Metrics Training metrics Community

Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metrics

loss: 0.1797216236591339

f1: 0.9353233830845771

precision: 0.9306930693069307

recall: 0.94

auc: 0.986464

accuracy: 0.935

Downloads last month: 19

Safetensors

Model size

85.8M params

Tensor type

F32

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Inference Examples

Image Classification

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Model tree for vivi3n789/autotrain-vivi3n

Base model

google/vit-base-patch16-224-in21k

Finetuned

dima806/deepfake_vs_real_image_detection

Finetuned

(8)

this model