diff --git a/egs/librispeech/ASR/.run_v3.sh.swp b/egs/librispeech/ASR/.run_v3.sh.swp
index 695c9da63..adeaf3f0c 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 10e76dc78..cb0047387 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 3571434f7..67d36d3ba 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -1086,7 +1086,6 @@ def train_one_epoch(
                     f"grad_scale is too small, exiting: {cur_grad_scale}"
                 )
 
-        logging.info(loss)
         if params.batch_idx_train > 4000 and loss > 300:
             wb.log({"valid/loss": 10000})
             raise RunteimError(