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 477a01d72..dbee27a9d 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 adc77f8f9..b9ec2eb62 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py
@@ -1584,7 +1584,6 @@ def run_adapter(rank, world_size, args, wb=None):
         logging.info("Using DDP")
         model = DDP(model, device_ids=[rank], find_unused_parameters=True)
     
-    '''
     adapter_names = []
     adapter_param = []
     for n, p  in model.named_parameters():
@@ -1605,15 +1604,14 @@ def run_adapter(rank, world_size, args, wb=None):
             clipping_scale=5.0,
             parameters_names=[adapter_names],
         )
-    '''
 
     #prompt = torch.randn((100, 512), requires_grad=True)
-    optimizer_adapter = ScaledAdam(
-            [model.prompt],
-            lr=params.adapter_lr,
-            clipping_scale=5.0,
-            parameters_names=['P'],
-    )
+    #optimizer_adapter = ScaledAdam(
+    #        [model.prompt],
+    #        lr=params.adapter_lr,
+    #        clipping_scale=5.0,
+    #        parameters_names=['P'],
+    #)
     
     scheduler_adapter = Eden(optimizer_adapter, 10000, 7) #params.lr_batche, params.lr_epochs)