diff --git a/kge/model/kge_model.py b/kge/model/kge_model.py
index 96b27a725..45608393c 100644
--- a/kge/model/kge_model.py
+++ b/kge/model/kge_model.py
@@ -786,4 +786,8 @@ def score_sp_po(
                 all_subjects = self.get_s_embedder().embed_all()
             sp_scores = self._scorer.score_emb(s, p, all_objects, combine="sp_")
             po_scores = self._scorer.score_emb(all_subjects, p, o, combine="_po")
+        if torch.isnan(sp_scores).any().item() or :
+            raise ValueError("Found NaN values when scoring sp_ predictions! ")
+        elif torch.isnan(po_scores).any().item():
+            raise ValueError("Found NaN values when scoring _po predictions! ")
         return torch.cat((sp_scores, po_scores), dim=1)