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+# Plant Disease Detection ViT
+
+This model is a fine-tuned Vision Transformer (ViT) for classifying plant diseases using the PlantVillage dataset.
+
+## Model Description
+- **Base Model:** google/vit-base-patch16-224
+- **Task:** Image Classification (38 classes)
+- **Framework:** PyTorch & Hugging Face Transformers
+
+## Training Configuration
+- **Image Size:** 224x224
+- **Batch Size:** 32
+- **Epochs:** 12
+- **Learning Rate:** 2e-05
+- **Weight Decay:** 0.0001
+- **Device:** cuda
+- **Train/Val/Test Split:** 75% / 15% / 10%
+
+## Performance
+- **Best Validation Accuracy:** 99.36%
+- **Final Test Accuracy:** 99.32%
+
+## Dataset
+Automated download of PlantVillage dataset containing 38 classes of healthy and diseased plant leaves.