diff --git a/ppcls/data/__init__.py b/ppcls/data/__init__.py
index eaa3aee67c787d548d7f894b8eff2358b43ec10e..f44ca52fea1d4ebb8b59c764f751b16146d5b7cd 100644
--- a/ppcls/data/__init__.py
+++ b/ppcls/data/__init__.py
@@ -35,8 +35,8 @@ from ppcls.data.preprocess import transform
 
 
 def build_dataloader(config, mode, device, seed=None):
-    assert mode in ['Train', 'Eval', 'Test', 'Gallery', 'Query'
-                    ], "Mode should be Train, Eval, Test, Gallery or Query"
+    assert mode in ['Train', 'Eval', 'Test', 
+                    ], "Mode should be Train, Eval, Test"
     # build dataset
     config_dataset = config[mode]['dataset']
     config_dataset = copy.deepcopy(config_dataset)
diff --git a/ppcls/engine/trainer.py b/ppcls/engine/trainer.py
index 8374935783ef1bf6051bf462cfe1fb5d9cde8300..43a5f63da73b07326809df67813d1a10c4994ab3 100644
--- a/ppcls/engine/trainer.py
+++ b/ppcls/engine/trainer.py
@@ -223,7 +223,7 @@ class Trainer(object):
             # eval model and save model if possible
             if self.config["Global"][
                     "eval_during_train"] and epoch_id % self.config["Global"][
-                        "eval_during_train"] == 0:
+                        "eval_interval"] == 0:
                 acc = self.eval(epoch_id)
                 if acc > best_metric["metric"]:
                     best_metric["metric"] = acc