Update README

README.md

@@ -1,3 +1,11 @@
+---
+datasets:
+- ylecun/mnist
+language:
+- en
+metrics:
+- accuracy
+---
 # 🧠 TinyCNN for MNIST (94K params)
 
 This repository contains a lightweight Convolutional Neural Network (CNN) designed for the MNIST handwritten digit classification task. 
@@ -49,12 +57,51 @@ pip install torch torchvision
 ## 🚀 Load Model From Hub
 ```
 import torch
-from model import TinyCNN  # Ensure this file is included in your repo
+
+class TinyCNN(nn.Module):
+    """
+    Tiny CNN for MNIST using Global Avg Pooling.
+
+    Trainable parameters: 94,410
+    """
+    
+    def __init__(self, num_classes=10):
+        super(TinyCNN, self).__init__()
+        
+        # First conv block
+        self.conv1 = nn.Conv2d(1, 32, kernel_size=3, padding=1)
+        self.bn1 = nn.BatchNorm2d(32)
+        self.pool1 = nn.MaxPool2d(2, 2)
+        
+        # Second conv block
+        self.conv2 = nn.Conv2d(32, 64, kernel_size=3, padding=1)
+        self.bn2 = nn.BatchNorm2d(64)
+        self.pool2 = nn.MaxPool2d(2, 2)
+
+        # Third conv block
+        self.conv3 = nn.Conv2d(64, 128, kernel_size=3, padding=1)
+        self.bn3 = nn.BatchNorm2d(128)
+        self.pool3 = nn.MaxPool2d(2, 2)
+        
+        # Global average pooling
+        self.avgpool = nn.AdaptiveAvgPool2d((1, 1))
+        
+        # Final FC (input = 128 channels after GAP)
+        self.fc = nn.Linear(128, num_classes)
+
+    def forward(self, x):
+        x = self.pool1(F.relu(self.bn1(self.conv1(x))))
+        x = self.pool2(F.relu(self.bn2(self.conv2(x))))
+        x = self.pool3(F.relu(self.bn3(self.conv3(x))))
+        x = self.avgpool(x)              # (batch, 64, 1, 1)
+        x = x.view(x.size(0), -1)        # (batch, 64)
+        x = self.fc(x)                   # (batch, num_classes)
+        return x
 
 model = TinyCNN(num_classes=10)
 
 state_dict = torch.hub.load_state_dict_from_url(
-    "https://huggingface.co/<your-username>/<your-model-repo>/resolve/main/tinycnn_mnist.pth"
+    "https://huggingface.co/FinOS-Internship/ShiftedTinyCNN/TinyCNN_model_acc_98.97.pth"
 )
 model.load_state_dict(state_dict)
 model.eval()