diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.bitfit.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.bitfit.py.swp
index ab8435a5b..6d02f31b4 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.bitfit.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.bitfit.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py
index 9e673d7f0..35be7f5b7 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py
@@ -1602,16 +1602,15 @@ def run_adapter(rank, world_size, args, wb=None):
         else:
             p.requires_grad = False
         '''
-    
-    for n, p in model.named_parameters():
-        p.requires_grad = False
-    
     optimizer_adapter = ScaledAdam(
             adapter_param,
             lr=params.adapter_lr,
             clipping_scale=5.0,
             parameters_names=[adapter_names],
         )
+    
+    #for n, p in model.named_parameters():
+    #    p.requires_grad = False
 
     #prompt = torch.randn((100, 512), requires_grad=True)
     #optimizer_adapter = ScaledAdam(