updates

train.py

@@ -136,7 +136,7 @@ def train():
 
         for p in optimizer.param_groups:
             # lower param count allows more aggressive training settings: i.e. SGD ~0.1 lr0, ~0.9 momentum
-            p['lr'] *= 100 if opt.prebias else 10  # lr gain
+            p['lr'] *= 100  # lr gain
             if p.get('momentum') is not None:  # for SGD but not Adam
                 p['momentum'] *= 0.9