diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp
index 1bb1d7c73..d43c3d510 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp
index 371226256..ba132484e 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
index e2b58742c..d5918632a 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
@@ -1604,9 +1604,9 @@ def run_adapter(rank, world_size, args, wb=None):
         )
     '''
 
-    prompt = torch.randn((100, 512), requires_grad=True)
+    #prompt = torch.randn((100, 512), requires_grad=True)
     optimizer_adapter = ScaledAdam(
-            [prompt],
+            [model.prompt],
             lr=params.adapter_lr,
             clipping_scale=5.0,
             parameters_names=['P'],