diff --git a/models.py b/models.py
index a01bef92..ea86a726 100755
--- a/models.py
+++ b/models.py
@@ -132,7 +132,7 @@ class YOLOLayer(nn.Module):
         if targets is not None:
             BCEWithLogitsLoss = nn.BCEWithLogitsLoss()
             MSELoss = nn.MSELoss()  # version 0.4.0
-            # CrossEntropyLoss = nn.CrossEntropyLoss()
+            CrossEntropyLoss = nn.CrossEntropyLoss()
 
             if requestPrecision:
                 gx = self.grid_x[:, :, :nG, :nG]
@@ -159,8 +159,8 @@ class YOLOLayer(nn.Module):
                 lh = 5 * MSELoss(h[mask], th[mask])
                 lconf = 1.5 * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
 
-                # lcls = CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
-                lcls = BCEWithLogitsLoss(pred_cls[mask], tcls.float())
+                lcls = CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
+                # lcls = 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])