diff --git a/train.py b/train.py
index f9414341..7fcdcefd 100644
--- a/train.py
+++ b/train.py
@@ -50,10 +50,9 @@ def train(
         #     model = nn.DataParallel(model)
         model.to(device).train()
 
-        # # Transfer learning (train only YOLO layers)
+        # Transfer learning (train only YOLO layers)
         # for i, (name, p) in enumerate(model.named_parameters()):
-        #     if p.shape[0] != 650:  # not YOLO layer
-        #         p.requires_grad = False
+        #    p.requires_grad = True if (p.shape[0] == 255) else False
 
         # Set optimizer
         optimizer = torch.optim.SGD(filter(lambda x: x.requires_grad, model.parameters()), lr=lr0, momentum=.9)