diff --git a/models.py b/models.py
index f54fd983..117ed30f 100755
--- a/models.py
+++ b/models.py
@@ -160,8 +160,8 @@ class YOLOLayer(nn.Module):
                 lh = 5 * MSELoss(h[mask], th[mask])
                 lconf = 1.5 * BCEWithLogitsLoss1(pred_conf[mask], mask[mask].float())
 
-                # lcls = nM * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
-                lcls = nM * BCEWithLogitsLoss2(pred_cls[mask], tcls.float())
+                lcls = nM * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
+                # lcls = nM * BCEWithLogitsLoss2(pred_cls[mask], tcls.float())
             else:
                 lx, ly, lw, lh, lcls, lconf = FT([0]), FT([0]), FT([0]), FT([0]), FT([0]), FT([0])