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 a37660fd4..5419cbebe 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 64e534410..253daf143 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
@@ -148,7 +148,7 @@ class LoRAHook():
     def save_checkpoint(self, i, iter_, save_dir):
         if isinstance(self.lora, DDP):
             lora = self.lora.module
-        torch.save(self.lora.state_dict(), f"{save_dir}/lora_{iter_}_{i}.pt")
+        torch.save(lora.state_dict(), f"{save_dir}/lora_{iter_}_{i}.pt")
 
 
 def set_batch_count(model: Union[nn.Module, DDP], batch_count: float) -> None: