diff --git a/egs/librispeech/ASR/incremental_transf/.train.py.swp b/egs/librispeech/ASR/incremental_transf/.train.py.swp
index 3cebdc975..984f98977 100644
Binary files a/egs/librispeech/ASR/incremental_transf/.train.py.swp and b/egs/librispeech/ASR/incremental_transf/.train.py.swp differ
diff --git a/egs/librispeech/ASR/incremental_transf/train.py b/egs/librispeech/ASR/incremental_transf/train.py
index c852b9951..7e9acd242 100755
--- a/egs/librispeech/ASR/incremental_transf/train.py
+++ b/egs/librispeech/ASR/incremental_transf/train.py
@@ -988,7 +988,7 @@ def run(rank, world_size, args):
                 except: print(f'pre-trained model has no parameter named {n}.')
             else:
                 layer_name_splited[0] = 'inter_encoder'
-                layer_name_splited[3] = str(int(layer_name_splited[3])//2)
+                layer_name_splited[3] = str(int(layer_name_splited[3])//2+1)
                 old_name = '.'.join(layer_name_splited)
                 try: p.data = pre_trained_model[old_name]
                 except: print(f'pre-trained model has no parameter named {n}.')