diff --git a/deepmd/main.py b/deepmd/main.py
index ec8fbe1dc8..2efd66184e 100644
--- a/deepmd/main.py
+++ b/deepmd/main.py
@@ -258,7 +258,8 @@ def main_parser() -> argparse.ArgumentParser:
     parser_train.add_argument(
         "--use-pretrain-script",
         action="store_true",
-        help="(Supported Backend: PyTorch) Use model params in the script of the pretrained model instead of user input when doing finetuning.",
+        help="(Supported Backend: PyTorch) Use model params in the script of the pretrained model instead of user input when doing finetuning."
+        "In TensorFlow, it's default and unchangeable to use model params in the script of the pretrained model.",
     )
     parser_train.add_argument(
         "-o",
diff --git a/doc/train/finetuning.md b/doc/train/finetuning.md
index f01e3cc759..1cd88191d2 100644
--- a/doc/train/finetuning.md
+++ b/doc/train/finetuning.md
@@ -29,8 +29,8 @@ The command above will change the energy bias in the last layer of the fitting n
 according to the training dataset in input.json.
 
 :::{warning}
-Note that in TensorFlow, the `type_map` will be overwritten based on that in the pre-trained model.
-Please ensure you are familiar with the `type_map` configuration in the pre-trained model before starting the fine-tuning process.
+Note that in TensorFlow, model parameters including the `type_map` will be overwritten based on those in the pre-trained model.
+Please ensure you are familiar with the configurations in the pre-trained model, especially `type_map`, before starting the fine-tuning process.
 The elements in the training dataset must be contained in the pre-trained dataset.
 :::