diff --git a/deepmd/main.py b/deepmd/main.py
index 5dab029d83..870a04a088 100644
--- a/deepmd/main.py
+++ b/deepmd/main.py
@@ -240,7 +240,7 @@ def main_parser() -> argparse.ArgumentParser:
         "--output",
         type=str,
         default="out.json",
-        help="(Supported backend: TensorFlow) The output file of the parameters used in training.",
+        help="The output file of the parameters used in training.",
     )
     parser_train.add_argument(
         "--skip-neighbor-stat",
diff --git a/deepmd/pt/entrypoints/main.py b/deepmd/pt/entrypoints/main.py
index 023bc5305e..736e8dde09 100644
--- a/deepmd/pt/entrypoints/main.py
+++ b/deepmd/pt/entrypoints/main.py
@@ -78,10 +78,6 @@ def get_trainer(
     shared_links=None,
 ):
     multi_task = "model_dict" in config.get("model", {})
-    # argcheck
-    if not multi_task:
-        config = update_deepmd_input(config, warning=True, dump="input_v2_compat.json")
-        config = normalize(config)
 
     # Initialize DDP
     local_rank = os.environ.get("LOCAL_RANK")
@@ -236,6 +232,11 @@ def train(FLAGS):
     if multi_task:
         config["model"], shared_links = preprocess_shared_params(config["model"])
 
+    # argcheck
+    if not multi_task:
+        config = update_deepmd_input(config, warning=True, dump="input_v2_compat.json")
+        config = normalize(config)
+
     # do neighbor stat
     if not FLAGS.skip_neighbor_stat:
         log.info(
@@ -257,6 +258,9 @@ def train(FLAGS):
                     fake_global_jdata, config["model"]["model_dict"][model_item]
                 )
 
+    with open(FLAGS.output, "w") as fp:
+        json.dump(config, fp, indent=4)
+
     trainer = get_trainer(
         config,
         FLAGS.init_model,