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- Classification report:
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-
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- precision recall f1-score support
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-
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- Issue In Deepfake 0.7560 0.7467 0.7513 1500
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- High Quality Deepfake 0.7365 0.7473 0.7418 1500
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-
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- accuracy 0.7467 3000
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- macro avg 0.7463 0.7470 0.7465 3000
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- weighted avg 0.7463 0.7470 0.7465 3000
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ base_model:
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+ - google/vit-base-patch32-224-in21k
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+ pipeline_tag: image-classification
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+ library_name: transformers
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+ tags:
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+ - Deepfake
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+ ---
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+ Classification report:
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+
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+ precision recall f1-score support
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+
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+ Issue In Deepfake 0.7560 0.7467 0.7513 1500
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+ High Quality Deepfake 0.7365 0.7473 0.7418 1500
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+
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+ accuracy 0.7467 3000
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+ macro avg 0.7463 0.7470 0.7465 3000
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+ weighted avg 0.7463 0.7470 0.7465 3000