diff --git a/funasr/models/llm_asr_nar/model.py b/funasr/models/llm_asr_nar/model.py
index 94dae4d90..6a4eccefe 100644
--- a/funasr/models/llm_asr_nar/model.py
+++ b/funasr/models/llm_asr_nar/model.py
@@ -315,7 +315,7 @@ class LLMASRNAR(nn.Module):
         model_outputs = self.llm(inputs_embeds=inputs_embeds, attention_mask=attention_mask, labels=None)
         preds = torch.argmax(model_outputs.logits, -1)
         text = tokenizer.batch_decode(preds, add_special_tokens=False, skip_special_tokens=True)
-        text = text.split(': \n')[-1]
+        text = text[0].split(': \n')[-1]
         # preds = torch.argmax(model_outputs.logits, -1)
         
         ibest_writer = None
diff --git a/funasr/train_utils/load_pretrained_model.py b/funasr/train_utils/load_pretrained_model.py
index 7a8c37459..84c632027 100644
--- a/funasr/train_utils/load_pretrained_model.py
+++ b/funasr/train_utils/load_pretrained_model.py
@@ -90,10 +90,12 @@ def load_pretrained_model(
 				
 				if dst_prefix == "" and (src_prefix + k) in src_state.keys():
 					k_src = src_prefix + k
-					print(f"init param, map: {k} from {k_src} in ckpt")
+					if not k_src.startswith("module."):
+						print(f"init param, map: {k} from {k_src} in ckpt")
 				elif k.startswith(dst_prefix) and k.replace(dst_prefix, src_prefix, 1) in src_state.keys():
 					k_src = k.replace(dst_prefix, src_prefix, 1)
-					print(f"init param, map: {k} from {k_src} in ckpt")
+					if not k_src.startswith("module."):
+						print(f"init param, map: {k} from {k_src} in ckpt")
 					
 		if k_src in src_state.keys():
 			if ignore_init_mismatch and dst_state[k].shape != src_state[k_src].shape: