diff --git a/mindinsight/optimizer/common/validator/optimizer_config.py b/mindinsight/optimizer/common/validator/optimizer_config.py
index 7d092edc..f6e6311a 100644
--- a/mindinsight/optimizer/common/validator/optimizer_config.py
+++ b/mindinsight/optimizer/common/validator/optimizer_config.py
@@ -79,7 +79,7 @@ class ParameterSchema(Schema):
 
     bounds = fields.List(fields.Number(error_messages=number_err_msg), error_messages=list_err_msg)
     choice = fields.List(fields.Number(error_messages=number_err_msg), error_messages=list_err_msg)
-    type = fields.Str(error_messages=list_err_msg)
+    type = fields.Str(error_messages=str_err_msg)
     source = fields.Str(error_messages=str_err_msg)
 
     @validates("bounds")
diff --git a/tests/ut/optimizer/common/validator/test_optimizer_config.py b/tests/ut/optimizer/common/validator/test_optimizer_config.py
index 7be0379a..08614ff8 100644
--- a/tests/ut/optimizer/common/validator/test_optimizer_config.py
+++ b/tests/ut/optimizer/common/validator/test_optimizer_config.py
@@ -65,12 +65,14 @@ class TestOptimizerConfig:
         config_dict['target']['goal'] = init_list
         config_dict['parameters']['learning_rate']['bounds'] = init_str
         config_dict['parameters']['learning_rate']['choice'] = init_str
+        config_dict['parameters']['learning_rate']['type'] = init_list
         expected_err = {
             'command': ["Value type should be 'str'."],
             'parameters': {
                 'learning_rate': {
                     'bounds': ["Value type should be 'list'."],
-                    'choice': ["Value type should be 'list'."]
+                    'choice': ["Value type should be 'list'."],
+                    'type': ["Value type should be 'str'."]
                 }
             },
             'summary_base_dir': ["Value type should be 'str'."],