diff --git a/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp b/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp
index b8326f879..e93956490 100644
Binary files a/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp and b/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp differ
diff --git a/egs/librispeech/ASR/incremental_transf/.train.py.swp b/egs/librispeech/ASR/incremental_transf/.train.py.swp
index b57017c9a..0d9989544 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 567ceafa7..6c72f6778 100755
--- a/egs/librispeech/ASR/incremental_transf/train.py
+++ b/egs/librispeech/ASR/incremental_transf/train.py
@@ -965,6 +965,16 @@ def run(rank, world_size, args):
 
     logging.info("About to create model")
     model = get_transducer_model(params)
+    
+    path = '/home/work/workspace/icefall/egs/librispeech/ASR/incremental_transf/conformer_24layers.pt'
+    pre_trained = torch.load(path)
+    pre_trained_model = pre_trained["model"]
+    #for n, p in model.named_parameters():
+    #    if 'layer' not in n:
+    for n, p in pre_trained_model.items():
+        print(n)
+
+
 
     num_param = sum([p.numel() for p in model.parameters()])
     logging.info(f"Number of model parameters: {num_param}")