MobileNetV1_multilabel.yaml

ppcls/configs/quick_start/professional/MobileNetV1_multilabel.yaml

@@ -122,8 +122,8 @@ Infer:
 
 Metric:
   Train:
-    - HammingDistance:
     - AccuracyScore:
-  Eval:
     - HammingDistance:
+  Eval:
     - AccuracyScore:
+    - HammingDistance:

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,