Update README.md

README.md

@@ -1,3 +1,22 @@
+---
+license: apache-2.0
+tags:
+  - image-classification
+  - cnn
+  - pytorch
+  - cat-vs-dog
+  - deep-learning
+library_name: pytorch
+datasets:
+  - custom
+metrics:
+  - name: accuracy
+    type: accuracy
+    value: 90.56
+model_name: Cat vs Dog Classifier
+pipeline_tag: image-classification
+---
+---
 # 🐾 Cat vs Dog Classifier
 
 This model is a deep convolutional neural network (CNN) built using PyTorch to classify images as either cats or dogs. It was trained on a labeled dataset of cat and dog images resized to 224×224 pixels, with extensive data augmentation and regularization techniques to improve generalization. The model achieves over 90% accuracy on the test set.
@@ -80,22 +99,3 @@ This model is licensed under the Apache 2.0 License. You are free to use, modify
 
 Created by Sathvik as part of a deep learning exploration project focused on image classification and CNN architecture optimization.
 
-
----
-license: apache-2.0
-tags:
-  - image-classification
-  - cnn
-  - pytorch
-  - cat-vs-dog
-  - deep-learning
-library_name: pytorch
-datasets:
-  - custom
-metrics:
-  - name: accuracy
-    type: accuracy
-    value: 90.56
-model_name: Cat vs Dog Classifier
-pipeline_tag: image-classification
----