diff --git a/egs/librispeech/ASR/.run_adapter.sh.swp b/egs/librispeech/ASR/.run_adapter.sh.swp
index eea9d08e0..868891693 100644
Binary files a/egs/librispeech/ASR/.run_adapter.sh.swp and b/egs/librispeech/ASR/.run_adapter.sh.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index ef21723c0..657bc3051 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
index c67f04dc7..329706b06 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
@@ -808,7 +808,6 @@ def compute_loss(
         feature_lens = []
         for supervision in supervisions['cut']:
             print(supervision)
-            exit()
             try: feature_lens.append(supervision.tracks[0].cut.recording.num_samples)
             except: feature_lens.append(supervision.recording.num_samples)
         feature_lens = torch.tensor(feature_lens)