diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.optim.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.optim.py.swp
index 7a3b3f242..08afb901a 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.optim.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.optim.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp
index 4af048add..c45141abe 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
index 9e461556e..2aabd8765 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
@@ -1063,6 +1063,8 @@ def train_one_epoch(
             try: loss_info.reduce(loss.device)
             except: pass
 
+            logging.info(loss_info) 
+
             numel = params.world_size / (params.accum_grads * loss_info["utterances"])
             loss *= numel ## normalize loss over utts(batch size)
 
@@ -1607,7 +1609,7 @@ def run_adapter(rank, world_size, args, wb=None):
             [prompt],
             lr=params.adapter_lr,
             clipping_scale=5.0,
-            parameters_names=['p'],
+            parameters_names=['P'],
     )
     
     scheduler_adapter = Eden(optimizer_adapter, 10000, 7) #params.lr_batche, params.lr_epochs)