diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.train.py.swp
index 8037006ea..9b61a0601 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.train.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.train.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/train.py b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/train.py
index 847c80ab0..677d725c2 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/train.py
@@ -1024,9 +1024,9 @@ def run(rank, world_size, args):
         # an utterance duration distribution for your dataset to select
         # the threshold
         if c.duration < 1.0 or c.duration > 20.0:
-            logging.warning(
-                f"Exclude cut with ID {c.id} from training. Duration: {c.duration}"
-            )
+            #logging.warning(
+            #    f"Exclude cut with ID {c.id} from training. Duration: {c.duration}"
+            #)
             return False
 
         # In pruned RNN-T, we require that T >= S