diff --git a/examples/v1beta1/hp-tuning/hyperopt-distribution.yaml b/examples/v1beta1/hp-tuning/hyperopt-distribution.yaml
index 7c8b64b99bf..1b3fc9c3a29 100644
--- a/examples/v1beta1/hp-tuning/hyperopt-distribution.yaml
+++ b/examples/v1beta1/hp-tuning/hyperopt-distribution.yaml
@@ -15,19 +15,19 @@ spec:
   maxTrialCount: 12
   maxFailedTrialCount: 3
   parameters:
-    - name: lr
-      parameterType: double
-      feasibleSpace:
-        min: "0.01"
-        max: "0.05"
-        step: "0.01"
-        distribution: "uniform"
-    - name: momentum
-      parameterType: double
-      feasibleSpace:
-        min: "0.5"
-        max: "0.9"
-        distribution: "logUniform"
+    # - name: lr
+    #   parameterType: double
+    #   feasibleSpace:
+    #     min: "0.01"
+    #     max: "0.05"
+    #     step: "0.01"
+    #     distribution: "uniform"
+    # - name: momentum
+    #   parameterType: double
+    #   feasibleSpace:
+    #     min: "0.5"
+    #     max: "0.9"
+    #     distribution: "logUniform"
     - name: weight_decay
       parameterType: double
       feasibleSpace:
@@ -45,12 +45,12 @@ spec:
   trialTemplate:
     primaryContainerName: training-container
     trialParameters:
-      - name: learningRate
-        description: Learning rate for the training model
-        reference: lr
-      - name: momentum
-        description: Momentum for the training model
-        reference: momentum
+      # - name: learningRate
+      #   description: Learning rate for the training model
+      #   reference: lr
+      # - name: momentum
+      #   description: Momentum for the training model
+      #   reference: momentum
       - name: weightDecay
         description: Weight decay for the training model
         reference: weight_decay
@@ -71,8 +71,8 @@ spec:
                   - "/opt/pytorch-mnist/mnist.py"
                   - "--epochs=1"
                   - "--batch-size=16"
-                  - "--lr=${trialParameters.learningRate}"
-                  - "--momentum=${trialParameters.momentum}"
+                  # - "--lr=${trialParameters.learningRate}"
+                  # - "--momentum=${trialParameters.momentum}"
                   - "--weight-decay=${trialParameters.weightDecay}"
                   - "--dropout-rate=${trialParameters.dropoutRate}"
                 resources: