diff --git a/eval.py b/eval.py
index f293bd1..003d782 100644
--- a/eval.py
+++ b/eval.py
@@ -20,12 +20,12 @@ def eval_net(net, loader, device, n_val):
 
             mask_pred = net(imgs)
 
-            for true_mask in true_masks:
-                mask_pred = (mask_pred > 0.5).float()
+            for true_mask, pred in zip(true_masks, mask_pred):
+                pred = (pred > 0.5).float()
                 if net.n_classes > 1:
-                    tot += F.cross_entropy(mask_pred.unsqueeze(dim=0), true_mask.unsqueeze(dim=0)).item()
+                    tot += F.cross_entropy(pred.unsqueeze(dim=0), true_mask.unsqueeze(dim=0)).item()
                 else:
-                    tot += dice_coeff(mask_pred, true_mask.squeeze(dim=1)).item()
+                    tot += dice_coeff(pred, true_mask.squeeze(dim=1)).item()
             pbar.update(imgs.shape[0])
 
     return tot / n_val