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README.md

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+---
+license: apache-2.0
+metrics:
+- accuracy
+base_model:
+- google/vit-base-patch16-224-in21k
+pipeline_tag: image-classification
+---
+# Deepfake Image Detection Using Fine-Tuned Vision Transformer (ViT)
+This project focuses on detecting **deepfake images** using a fine-tuned version of the pre-trained model `google/vit-base-patch16-224-in21k`. The approach leverages the power of Vision Transformers (ViT) to classify images as real or fake.
+
+## **Model Overview**
+- **Base Model**: [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k)
+- **Dataset**: [DFDC](https://ai.meta.com/datasets/dfdc).
+- **Classes**: Deepfake and Real
+- **Performance**:
+  - **Validation Accuracy**: 95%
+  - **Test Accuracy**: 91%
+
+*Figure : Confusion matrix for test data*
+
+![image/png](output.png)

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:de8db0d232f5adda3bbe0a8c3697cb1cda35739373f2b3dea92a570388f34da7
+size 343223968

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": "google/vit-base-patch16-224-in21k",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}