diff --git a/egs/librispeech/ASR/incremental_transf/.train.py.swp b/egs/librispeech/ASR/incremental_transf/.train.py.swp
index 02b0c4faa..941a5a267 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 02d399655..f024551b5 100755
--- a/egs/librispeech/ASR/incremental_transf/train.py
+++ b/egs/librispeech/ASR/incremental_transf/train.py
@@ -993,7 +993,10 @@ 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[1] = 'encoder_layers'
                 layer_name_splited[3] = str(int(layer_name_splited[3])//2)
+                del layer_name_splited[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}.')