diff --git a/mindspore/train/callback.py b/mindspore/train/callback.py
index 50fe5fcb26..e691cfd837 100644
--- a/mindspore/train/callback.py
+++ b/mindspore/train/callback.py
@@ -143,6 +143,11 @@ class CheckpointConfig:
     """
     The config for model checkpoint.
 
+    Note:
+        During the training process, if dataset is transmitted through the data channel,
+        suggest set save_checkpoint_steps be an integer multiple of loop_size.
+        Otherwise there may be deviation in the timing of saving checkpoint.
+
     Args:
         save_checkpoint_steps (int): Steps to save checkpoint. Default: 1.
         save_checkpoint_seconds (int): Seconds to save checkpoint. Default: 0.
@@ -512,7 +517,7 @@ class ModelCheckpoint(Callback):
 
     Args:
         prefix (str): Checkpoint files names prefix. Default: "CKP".
-        directory (str): Lolder path into which checkpoint files will be saved. Default: None.
+        directory (str): Folder path into which checkpoint files will be saved. Default: None.
         config (CheckpointConfig): Checkpoint strategy config. Default: None.
 
     Raises:
diff --git a/mindspore/train/serialization.py b/mindspore/train/serialization.py
index 696b140462..4e6e67e32b 100644
--- a/mindspore/train/serialization.py
+++ b/mindspore/train/serialization.py
@@ -232,6 +232,7 @@ def load_param_into_net(net, parameter_dict):
         raise TypeError(msg)
 
     logger.info("Execute load parameter into net process.")
+    net.init_parameters_data()
     param_not_load = []
     for _, param in net.parameters_and_names():
         if param.name in parameter_dict: