diff --git a/egs/librispeech/ASR/incremental_transf/.train.py.swp b/egs/librispeech/ASR/incremental_transf/.train.py.swp
index 06a4c8a51..02b0c4faa 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 fde89a961..02d399655 100755
--- a/egs/librispeech/ASR/incremental_transf/train.py
+++ b/egs/librispeech/ASR/incremental_transf/train.py
@@ -993,7 +993,7 @@ def run(rank, world_size, args):
                 except: print(f'2: pre-trained model has no parameter named {old_name}.')
             else:
                 layer_name_splited[0] = 'inter_encoder'
-                layer_name_splited[3] = str(int(layer_name_splited[3])//2+1)
+                layer_name_splited[3] = str(int(layer_name_splited[3])//2)
                 old_name = '.'.join(layer_name_splited)
                 try: p.data = pre_trained_model2[old_name]
                 except: print(f'3: pre-trained model has no parameter named {old_name}.')