Fine-tuned model on Real and Fake Faces dataset with improvements

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+training_plots.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,38 @@
+---
+license: mit
+tags:
+- deepfake-detection
+- image-classification
+- real-and-fake-faces
+---
+
+# Deepfake Image Detector (Real and Fake Faces Fine-Tuned)
+
+## Model Performance
+- Test Accuracy: 88.37%
+- Best Validation Accuracy: 91.76%
+- Best Epoch: 4
+- Planned Epochs: 12
+- Actual Epochs Trained: 8 (early stopping applied)
+
+## Dataset
+- Training: 1,367 images
+- Validation: 170 images
+- Test: 172 images
+
+## Training Details
+Training was stopped early at epoch 8 due to early stopping criteria being met.
+The best model was achieved at epoch 4 with validation accuracy of 91.76%.
+
+## Usage
+```python
+from transformers import ViTForImageClassification, ViTFeatureExtractor
+
+model = ViTForImageClassification.from_pretrained('shivani1511/deepfake-image-detector-new-latest-v2')
+feature_extractor = ViTFeatureExtractor.from_pretrained('shivani1511/deepfake-image-detector-new-latest-v2')
+```
+
+## Notes
+- Fine-tuned on Real and Fake Faces dataset to address AI-generated fake detection.
+- Base model: shivani1511/deepfake-image-detector-new-latest (Vision Transformer).
+- Improvements: Enhanced data augmentation, class-weighted loss, Mixup, more unfrozen layers.

config.json

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+{
+  "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,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3"
+}

model.safetensors

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+size 343223976

preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}