diff --git a/egs/tedlium2/ASR/conformer_ctc3/.decode_multi.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.decode_multi.py.swp
index 3276f3729..e39504d0c 100644
Binary files a/egs/tedlium2/ASR/conformer_ctc3/.decode_multi.py.swp and b/egs/tedlium2/ASR/conformer_ctc3/.decode_multi.py.swp differ
diff --git a/egs/tedlium2/ASR/conformer_ctc3/decode_multi.py b/egs/tedlium2/ASR/conformer_ctc3/decode_multi.py
index 7a5275cfc..78d72f3bc 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/decode_multi.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/decode_multi.py
@@ -627,15 +627,16 @@ def save_results(
         print("settings\tWER", file=f)
         for key, val in test_set_wers:
             print("{}\t{}".format(key, val), file=f)
-
+    
+    wer = None
     s = "\nFor {}, WER of different settings are:\n".format(test_set_name)
     note = "\tbest for {}".format(test_set_name)
     for key, val in test_set_wers:
         s += "{}\t{}{}\n".format(key, val, note)
         note = ""
-        print(key)
-        print(val)
+        wer = val
     logging.info(s)
+    return val
 
 
 @torch.no_grad()
@@ -816,7 +817,12 @@ def main() -> None:
                 eos_id=eos_id,
             )
 
-            save_results(params=params, test_set_name=test_set, results_dict=results_dict)
+            wer = save_results(params=params, test_set_name=test_set, results_dict=results_dict)
+            wer_dict[epoch] = wer
+    
+    wer_dict = sorted(wer_dict.items(), key=lambda x:x[1])
+    for k, v in wer_dict:
+        print(k, v)
 
 torch.set_num_threads(1)
 # when we import add_model_arguments from train.py