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 081ad5e89..d122c599d 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 70e1f37a8..fd25337fd 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -1185,16 +1185,16 @@ def run(rank, world_size, args, wb=None):
 
         logging.info(f"enc name len = {len(enc_names)}")
         logging.info(f"enc param len = {len(enc_param)}")
-        logging.info(model.parameters())
+        #logging.info(model.parameters())
 
         optimizer_enc = ScaledAdam(
-            enc_param,
+            *enc_param,
             lr=params.peak_enc_lr,
             clipping_scale=None,
             parameters_names=enc_names,
         )
         optimizer_dec = ScaledAdam(
-            dec_param,
+            *dec_param,
             lr=params.peak_dec_lr,
             clipping_scale=None,
             parameters_names=dec_names,