diff --git a/mindspore/train/callback/_summary_collector.py b/mindspore/train/callback/_summary_collector.py
index 6d5ec45d5bfff418580bcc084994cb995d09fba7..cff03ca398f2be708ded48d943d902a52932b990 100644
--- a/mindspore/train/callback/_summary_collector.py
+++ b/mindspore/train/callback/_summary_collector.py
@@ -166,8 +166,11 @@ class SummaryCollector(Callback):
         self._has_saved_custom_data = False
         self._is_parse_loss_success = True
         self._first_step = True
+        self._dataset_sink_mode = True
 
     def __enter__(self):
+        self._first_step = True
+        self._dataset_sink_mode = True
         self._record = SummaryRecord(log_dir=self._summary_dir)
         return self
 
@@ -279,15 +282,15 @@ class SummaryCollector(Callback):
 
     def step_end(self, run_context):
         cb_params = run_context.original_args()
+        if self._first_step:
+            # Notice: This way of determining whether dataset sink mode is True does not work in the eval scenario
+            self._dataset_sink_mode = bool(cb_params.cur_step_num == cb_params.batch_num)
 
         if cb_params.mode == ModeEnum.TRAIN.value:
 
-            # Make sure the first step data is recorded
-            if not self._first_step and cb_params.cur_step_num % self._collect_freq:
+            if not self._is_collect_this_step(cb_params):
                 return
 
-            self._first_step = False
-
             if not self._has_saved_train_network:
                 self._collect_graphs(cb_params)
 
@@ -295,6 +298,7 @@ class SummaryCollector(Callback):
             self._collect_metric(cb_params)
             self._collect_histogram(cb_params)
 
+        self._first_step = False
         self._record.record(cb_params.cur_step_num)
 
     def end(self, run_context):
@@ -320,6 +324,18 @@ class SummaryCollector(Callback):
                 raise ValueError(f"There are more than one {self.__class__.__name__} instance in callback list,"
                                  f"but expected only one {self.__class__.__name__} instance.")
 
+    def _is_collect_this_step(self, cb_params):
+        """Decide whether to collect data for the current step."""
+        # Make sure the first step data is recorded
+        if not self._first_step:
+            if self._dataset_sink_mode:
+                if cb_params.cur_epoch_num % self._collect_freq:
+                    return False
+            else:
+                if cb_params.cur_step_num % self._collect_freq:
+                    return False
+        return True
+
     @staticmethod
     def _package_custom_lineage_data(custom_lineage_data):
         """