Update README.md

README.md

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 > deepfake-detector-model is a vision-language model fine-tuned from `google/vit-base-patch16-224-in21k` for binary image classification. It is trained to detect whether an image is fake or real using the *OpenDeepfake-Preview* dataset. The model uses the `ViTForImageClassification` architecture.
 
-```py
-Classification Report:
-              precision    recall  f1-score   support
-
-        fake     0.9817    0.9748    0.9782     10000
-        real     0.9750    0.9818    0.9784      9999
-
-    accuracy                         0.9783     19999
-   macro avg     0.9783    0.9783    0.9783     19999
-weighted avg     0.9783    0.9783    0.9783     19999
-```
-
-![download.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/QqU-DkI3sy1-HTpuE3OVz.png)
 
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