diff --git a/egs/librispeech/ASR/.run_v3.sh.swp b/egs/librispeech/ASR/.run_v3.sh.swp
index 18bd96fe9..5bcf0c8d7 100644
Binary files a/egs/librispeech/ASR/.run_v3.sh.swp and b/egs/librispeech/ASR/.run_v3.sh.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
index d08b0fb6e..12b3ab0c6 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
index 033954af5..234f15516 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -1229,9 +1229,6 @@ def run(rank, world_size, args, wb=None):
                 dec_names.append(n)
                 dec_param.append(p)
 
-        if rank == 0:
-            print(enc_names)
-
         optimizer_enc = ScaledAdam(
             enc_param,
             lr=params.peak_enc_lr,