diff --git a/egs/librispeech/ASR/pruned_transducer_stateless5/.conformer.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless5/.conformer.py.swp
index de85ef1e3..2fac7b89b 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless5/.conformer.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless5/.conformer.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless5/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless5/.train.py.swp
index 65041cae8..e4ce674a1 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless5/.train.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless5/.train.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless5/train.py b/egs/librispeech/ASR/pruned_transducer_stateless5/train.py
index ff70348e9..378e44612 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless5/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless5/train.py
@@ -983,7 +983,7 @@ def run(rank, world_size, args):
     model.to(device)
     if world_size > 1:
         logging.info("Using DDP")
-        model = DDP(model, device_ids=[rank], find_unused_parameters=False)
+        model = DDP(model, device_ids=[rank], find_unused_parameters=True)
 
     optimizer = Eve(model.parameters(), lr=params.initial_lr)