diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp
index be2cc259f..c768fb7ef 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py
index 60d25ee0e..33a1da0d2 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py
@@ -1616,12 +1616,12 @@ def run_adapter(rank, world_size, args, wb=None):
     
     adapter_names = []
     adapter_param = []
-    '''
     for i, lora in enumerate(lora_modules):
         for n, p in lora.lora.named_parameters():
             new_n = str(i) + n
             adapter_names.append(new_n)
             adapter_param.append(p)
+
     '''
     for n, p in model.named_parameters():
         if 'joiner' in n or 'simple' in n or 'ctc' in n:
@@ -1630,7 +1630,7 @@ def run_adapter(rank, world_size, args, wb=None):
             p.requires_grad = True
         else:
             p.requires_grad = False
-    
+    '''
     #for lora in lora_modules:
     #    print(lora.lora.state_dict())
     #print(adapter_names)