diff --git a/ppcls/configs/quick_start/professional/MobileNetV1_multilabel.yaml b/ppcls/configs/quick_start/professional/MobileNetV1_multilabel.yaml
index 6838710c326af0d9a549a3340ffd1326d784dced..969d8161f2f3d9bb60f7afe9bd1d33ff155a6d95 100644
--- a/ppcls/configs/quick_start/professional/MobileNetV1_multilabel.yaml
+++ b/ppcls/configs/quick_start/professional/MobileNetV1_multilabel.yaml
@@ -122,8 +122,8 @@ Infer:
 
 Metric:
   Train:
-    - HammingDistance:
     - AccuracyScore:
-  Eval:
     - HammingDistance:
+  Eval:
     - AccuracyScore:
+    - HammingDistance:
diff --git a/ppcls/engine/engine.py b/ppcls/engine/engine.py
index 884a05bb141947d70d2a20c2d88967bcbe6626ea..a8b3c90faff659a7c7b6ae8af426fd7e6be5c1ef 100644
--- a/ppcls/engine/engine.py
+++ b/ppcls/engine/engine.py
@@ -456,7 +456,7 @@ class Engine(object):
         assert self.mode == "export"
         use_multilabel = self.config["Global"].get(
             "use_multilabel",
-            False) and "ATTRMetric" in self.config["Metric"]["Eval"][0]
+            False) or "ATTRMetric" in self.config["Metric"]["Eval"][0]
         model = ExportModel(self.config["Arch"], self.model, use_multilabel)
         if self.config["Global"]["pretrained_model"] is not None:
             load_dygraph_pretrain(model.base_model,