diff --git a/egs/librispeech/ASR/.prompt_tuning.sh.swp b/egs/librispeech/ASR/.prompt_tuning.sh.swp
index b74c67533..05993a3f9 100644
Binary files a/egs/librispeech/ASR/.prompt_tuning.sh.swp and b/egs/librispeech/ASR/.prompt_tuning.sh.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 e232107b1..a2b144972 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 a94a95a13..eca008b74 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
@@ -1066,8 +1066,6 @@ def train_one_epoch(
             try: loss_info.reduce(loss.device)
             except: pass
 
-            print(loss_info)
-
             numel = params.world_size / (params.accum_grads * loss_info["utterances"])
             loss *= numel ## normalize loss over utts(batch size)