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license: mit language:
- en base_model:
- google/vit-base-patch16-224
pipeline_tag: image-classification
model_name: ViT Deepfake Detector
model_creator: Hamza Sohail, Ayaan Mohammed, Shadab Karim, Kirti Dhir
model_type: vision-transformer
library_name: transformers
library_version: "4.40.0"
inference: true
model_description: |
A fine-tuned Vision Transformer (
vit-base-patch16-224) for classifying real vs. fake images. Trained on FaceForensics++, Celeb-DF, DFDC, and custom samples. Outputs real/fake probabilities for input images.
training_details: |
- Epochs: 10
- Optimizer: AdamW
- Loss: CrossEntropy
- LR: 5e-5
- Batch size: 32
- GPU: Tesla T4
evaluation: | Evaluated on 10,000 images:
- Accuracy: 95.7%
- Precision/Recall/F1: 95.7%
intended_uses: | For fake image detection in research, moderation, and education. Not for legal/critical decisions without further verification. tags:
- deepfake
- fakeimages
- detector
- vit
- computer-vision
- deep-learning
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