Update app.py

app.py

@@ -21,26 +21,25 @@ def simulate_training(epochs, learning_rate):
     accuracies = []
     logs = []
 
-    # start with lower accuracy range
+    # start lower for visible climb
     current_acc = 0.55 + random.uniform(0, 0.05)
 
     for epoch in range(epochs):
         time.sleep(0.3)
 
-        # base improvement scaled by learning rate and some randomness
-        improvement = learning_rate * random.uniform(20, 60) / 100
+        # scale improvement more aggressively
+        improvement = learning_rate * random.uniform(200, 400)
         current_acc += improvement
 
-        # small noise and realistic plateau
+        # plateau effect
         if epoch > epochs * 0.6:
-            current_acc += random.uniform(-0.01, 0.005)
+            current_acc += random.uniform(-0.01, 0.003)
 
-        # clamp and record
         current_acc = max(min(current_acc, 0.98), 0.55)
         accuracies.append(round(current_acc, 3))
         logs.append(f"Epoch {epoch+1}: Validation Accuracy = {current_acc:.3f}")
 
-    # create chart with more visible change
+    # plot exaggerated climb
     plt.figure(figsize=(4, 2))
     plt.plot(range(1, epochs + 1), accuracies, marker="o", color="tab:blue")
     plt.title("Simulated Validation Accuracy per Epoch")