diff --git a/examples/benchmarks/LightGBM/workflow_config_lightgbm_Alpha158_csi500.yaml b/examples/benchmarks/LightGBM/workflow_config_lightgbm_Alpha158_csi500.yaml
index df0f7c794..327e7fffa 100644
--- a/examples/benchmarks/LightGBM/workflow_config_lightgbm_Alpha158_csi500.yaml
+++ b/examples/benchmarks/LightGBM/workflow_config_lightgbm_Alpha158_csi500.yaml
@@ -35,13 +35,13 @@ task:
         module_path: qlib.contrib.model.gbdt
         kwargs:
             loss: mse
-            colsample_bytree: 0.8879
-            learning_rate: 0.2
-            subsample: 0.8789
+            colsample_bytree: 0.9
+            learning_rate: 0.1
+            subsample: 0.9
             lambda_l1: 205.6999
             lambda_l2: 580.9768
             max_depth: 8
-            num_leaves: 210
+            num_leaves: 250
             num_threads: 20
     dataset:
         class: DatasetH
diff --git a/examples/benchmarks/README.md b/examples/benchmarks/README.md
index cf8518d84..3c5bf110f 100644
--- a/examples/benchmarks/README.md
+++ b/examples/benchmarks/README.md
@@ -110,7 +110,7 @@ python run_all_model.py run 3 lightgbm Alpha158 csi500  # for models with random
 
 | Model Name | Dataset  | IC          | ICIR        | Rank IC     | Rank ICIR   | Annualized Return | Information Ratio | Max Drawdown |
 |------------|----------|-------------|-------------|-------------|-------------|-------------------|-------------------|--------------|
-| LightGBM   | Alpha158 | 0.0377±0.00 | 0.3860±0.00 | 0.0448±0.00 | 0.4675±0.00 | 0.1151±0.00       | 1.3884±0.00       | -0.0898±0.00 |
+| LightGBM   | Alpha158 | 0.0399±0.00 | 0.4065±0.00 | 0.0482±0.00 | 0.5101±0.00 | 0.1284±0.00       | 1.5650±0.00       | -0.0635±0.00 |
 | CatBoost   | Alpha158 | 0.0345±0.00 | 0.2855±0.00 | 0.0417±0.00 | 0.3740±0.00 | 0.0496±0.00       | 0.5977±0.00       | -0.1496±0.00 |
 
 ### Alpha360 dataset