diff --git a/egs/wenetspeech/ASR/RESULTS.md b/egs/wenetspeech/ASR/RESULTS.md
index 8ba40d5aa..3eb1e4a2a 100644
--- a/egs/wenetspeech/ASR/RESULTS.md
+++ b/egs/wenetspeech/ASR/RESULTS.md
@@ -15,7 +15,7 @@ When training with the L subset, the WERs are
 | fast beam search (1best)  | 7.94  | 8.74     | 13.80        | --epoch 10, --avg 2, --max-duration 1500 |
 | fast beam search (nbest)  | 9.82  | 10.98    |     16.37   | --epoch 10, --avg 2, --max-duration 600 |
 | fast beam search (nbest oracle)  | 6.88 | 7.18    |     11.77   | --epoch 10, --avg 2, --max-duration 600 |
-| fast beam search (nbest LG)  | 14.94 | 16.14    |   22.93  | --epoch 10, --avg 2, --max-duration 600 |
+| fast beam search (nbest LG, ngram_lm_scale=0.35)  | 8.83 | 9.88    |   15.47  | --epoch 10, --avg 2, --max-duration 600 |
 
 The training command for reproducing is given below:
 
@@ -110,6 +110,7 @@ avg=2
         --lang-dir data/lang_char \
         --max-duration 600 \
         --decoding-method fast_beam_search_nbest_LG \
+        --ngram-lm-scale 0.35 \
         --beam 20.0 \
         --max-contexts 8 \
         --max-states 64
diff --git a/egs/wenetspeech/ASR/pruned_transducer_stateless2/decode.py b/egs/wenetspeech/ASR/pruned_transducer_stateless2/decode.py
index b45d7b971..b9eec9c9f 100755
--- a/egs/wenetspeech/ASR/pruned_transducer_stateless2/decode.py
+++ b/egs/wenetspeech/ASR/pruned_transducer_stateless2/decode.py
@@ -225,7 +225,7 @@ def get_parser():
     parser.add_argument(
         "--ngram-lm-scale",
         type=float,
-        default=0.01,
+        default=0.07,
         help="""
         Used only when --decoding_method is fast_beam_search_nbest_LG.
         It specifies the scale for n-gram LM scores.
@@ -590,6 +590,8 @@ def main():
         params.suffix += f"-beam-{params.beam}"
         params.suffix += f"-max-contexts-{params.max_contexts}"
         params.suffix += f"-max-states-{params.max_states}"
+        if params.decoding_method == "fast_beam_search_nbest_LG":
+            params.suffix += f"-ngram-lm-scale-{params.ngram_lm_scale}"
     elif "beam_search" in params.decoding_method:
         params.suffix += f"-beam-{params.beam_size}"
     else: