diff --git a/mmengine/runner/log_processor.py b/mmengine/runner/log_processor.py
index b278cf06fd..34d59fd0a5 100644
--- a/mmengine/runner/log_processor.py
+++ b/mmengine/runner/log_processor.py
@@ -307,7 +307,8 @@ def get_log_after_epoch(self,
                 tag[key] = value
         # Log other messages.
         log_items = []
-        for name, val in chain(tag.items(), non_scalar_tag.items()):
+        for name, val in chain(tag.items(), non_scalar_tag.items(),
+                               time_tag.items()):
             if isinstance(val, float):
                 val = f'{val:.{self.num_digits}f}'
             if isinstance(val, (torch.Tensor, np.ndarray)):
@@ -316,9 +317,6 @@ def get_log_after_epoch(self,
             log_items.append(f'{name}: {val}')
         log_str += '  '.join(log_items)
 
-        for name, val in time_tag.items():
-            log_str += f'{name}: {val:.{self.num_digits}f}  '
-
         if with_non_scalar:
             tag.update(non_scalar_tag)
         tag.update(time_tag)
diff --git a/tests/test_runner/test_log_processor.py b/tests/test_runner/test_log_processor.py
index 2009db708b..c1fc833eea 100644
--- a/tests/test_runner/test_log_processor.py
+++ b/tests/test_runner/test_log_processor.py
@@ -161,7 +161,7 @@ def test_log_val(self, by_epoch, mode, log_with_hierarchy):
             return_value=non_scalar_logs)
         _, out = log_processor.get_log_after_epoch(self.runner, 2, mode)
         expect_metric_str = ("accuracy: 0.9000  recall: {'cat': 1, 'dog': 0}  "
-                             'cm: \ntensor([1, 2, 3])\ndata_time: 1.0000  ')
+                             'cm: \ntensor([1, 2, 3])\n  data_time: 1.0000')
         if by_epoch:
             if mode == 'test':
                 assert out == 'Epoch(test) [5/5]  ' + expect_metric_str