diff --git a/models.py b/models.py
index 256898eb..25ac4dcf 100755
--- a/models.py
+++ b/models.py
@@ -139,7 +139,7 @@ class YOLOLayer(nn.Module):
         if targets is not None:
             MSELoss = nn.MSELoss(size_average=True)
             BCEWithLogitsLoss = nn.BCEWithLogitsLoss(size_average=True)
-            # CrossEntropyLoss = nn.CrossEntropyLoss()
+            CrossEntropyLoss = nn.CrossEntropyLoss()
 
             if requestPrecision:
                 gx = self.grid_x[:, :, :nG, :nG]
@@ -170,8 +170,8 @@ class YOLOLayer(nn.Module):
                 # lconf = k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
                 lconf = k * BCEWithLogitsLoss(pred_conf, mask.float())
 
-                # lcls = k * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
-                lcls = k * BCEWithLogitsLoss(pred_cls[mask], tcls.float())
+                lcls = k * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
+                # lcls = k * BCEWithLogitsLoss(pred_cls[mask], tcls.float())
             else:
                 lx, ly, lw, lh, lcls, lconf = FT([0]), FT([0]), FT([0]), FT([0]), FT([0]), FT([0])