diff --git a/tests/test_runner/test_hooks.py b/tests/test_runner/test_hooks.py
index ba74b5f66d..772fbdd407 100644
--- a/tests/test_runner/test_hooks.py
+++ b/tests/test_runner/test_hooks.py
@@ -388,38 +388,52 @@ def test_flat_cosine_runner_hook(multi_optimziers):
     assert hasattr(hook, 'writer')
     if multi_optimziers:
         calls = [
-            call('train', {
-                'learning_rate/model1': 0.02,
-                'learning_rate/model2': 0.01,
-            }, 1),
-            call('train', {
-                'learning_rate/model1': 0.02,
-                'learning_rate/model2': 0.01,
-            }, 6),
+            call(
+                'train', {
+                    'learning_rate/model1': 0.02,
+                    'learning_rate/model2': 0.01,
+                    'momentum/model1': 0.95,
+                    'momentum/model2': 0.9
+                }, 1),
+            call(
+                'train', {
+                    'learning_rate/model1': 0.02,
+                    'learning_rate/model2': 0.01,
+                    'momentum/model1': 0.95,
+                    'momentum/model2': 0.9
+                }, 6),
             call(
                 'train', {
                     'learning_rate/model1': 0.018090169943749474,
                     'learning_rate/model2': 0.009045084971874737,
+                    'momentum/model1': 0.95,
+                    'momentum/model2': 0.9
                 }, 7),
             call(
                 'train', {
                     'learning_rate/model1': 0.0019098300562505265,
                     'learning_rate/model2': 0.0009549150281252633,
+                    'momentum/model1': 0.95,
+                    'momentum/model2': 0.9
                 }, 10)
         ]
     else:
         calls = [
             call('train', {
                 'learning_rate': 0.02,
+                'momentum': 0.95
             }, 1),
             call('train', {
                 'learning_rate': 0.02,
+                'momentum': 0.95
             }, 6),
             call('train', {
                 'learning_rate': 0.018090169943749474,
+                'momentum': 0.95
             }, 7),
             call('train', {
                 'learning_rate': 0.0019098300562505265,
+                'momentum': 0.95
             }, 10)
         ]
     hook.writer.add_scalars.assert_has_calls(calls, any_order=True)