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 fc7e4e0c8..42334e21b 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 4ee896313..cf1b7d7a3 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -1565,11 +1565,7 @@ def run_adapter(rank, world_size, args, wb=None):
         scaler.load_state_dict(checkpoints["grad_scaler"])
 
     for epoch in range(params.start_epoch, params.num_epochs + 1):
-        if params.multi_optim:
-            scheduler_enc.step_epoch(epoch - 1)
-            scheduler_dec.step_epoch(epoch - 1)
-        else:
-            scheduler.step_epoch(epoch - 1)
+        scheduler.step_epoch(epoch - 1)
         fix_random_seed(params.seed + epoch - 1)
         train_dl.sampler.set_epoch(epoch - 1)