diff --git a/src/models/sofia_modelle/CNN.py b/src/models/sofia_modelle/CNN.py
index d63be5b028e83ff22d9b31f3860a9891290304cf..6724bc9940f091469090c825a71238f7aaba0a02 100644
--- a/src/models/sofia_modelle/CNN.py
+++ b/src/models/sofia_modelle/CNN.py
@@ -278,26 +278,26 @@ class CNN():
             f.write(str(model_stats))
 
 
-#################################### TEST UND TRAINING #################################
-# Training
-num_epochs = 20
+# #################################### TEST UND TRAINING #################################
+# # Training
+# num_epochs = 20
 
-for epoch in range(num_epochs):
-    model.train()
-    running_loss = 0.0
+# for epoch in range(num_epochs):
+#     model.train()
+#     running_loss = 0.0
 
-    for inputs, targets in dataloader:
-        inputs, targets = inputs.to(device), targets.to(device)
+#     for inputs, targets in dataloader:
+#         inputs, targets = inputs.to(device), targets.to(device)
         
-        optimizer.zero_grad()
-        outputs = model(inputs)
-        loss = criterion(outputs, targets)
+#         optimizer.zero_grad()
+#         outputs = model(inputs)
+#         loss = criterion(outputs, targets)
         
-        loss.backward()
-        optimizer.step()
+#         loss.backward()
+#         optimizer.step()
         
-        running_loss += loss.item()
+#         running_loss += loss.item()
 
-    print(f"Epoch {epoch+1}, Loss: {running_loss/len(dataloader)}")
+#     print(f"Epoch {epoch+1}, Loss: {running_loss/len(dataloader)}")
 
-# Test
\ No newline at end of file
+# # Test
\ No newline at end of file