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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 12 layers
-- **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.