diff --git a/src/Microsoft.ML.LightGbm/LightGbmBinaryTrainer.cs b/src/Microsoft.ML.LightGbm/LightGbmBinaryTrainer.cs
index 2efc892ae2..22de1c03f7 100644
--- a/src/Microsoft.ML.LightGbm/LightGbmBinaryTrainer.cs
+++ b/src/Microsoft.ML.LightGbm/LightGbmBinaryTrainer.cs
@@ -167,7 +167,8 @@ public enum EvaluateMetricType
             static Options()
             {
                 NameMapping.Add(nameof(EvaluateMetricType), "metric");
-                NameMapping.Add(nameof(EvaluateMetricType.None), "");
+                NameMapping.Add(nameof(EvaluateMetricType.None), "None");
+                NameMapping.Add(nameof(EvaluateMetricType.Default), "");
                 NameMapping.Add(nameof(EvaluateMetricType.Logloss), "binary_logloss");
                 NameMapping.Add(nameof(EvaluateMetricType.Error), "binary_error");
                 NameMapping.Add(nameof(EvaluateMetricType.AreaUnderCurve), "auc");
@@ -180,8 +181,7 @@ internal override Dictionary<string, object> ToDictionary(IHost host)
                 res[GetOptionName(nameof(UnbalancedSets))] = UnbalancedSets;
                 res[GetOptionName(nameof(WeightOfPositiveExamples))] = WeightOfPositiveExamples;
                 res[GetOptionName(nameof(Sigmoid))] = Sigmoid;
-                if (EvaluationMetric != EvaluateMetricType.Default)
-                    res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
+                res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
 
                 return res;
             }
diff --git a/src/Microsoft.ML.LightGbm/LightGbmMulticlassTrainer.cs b/src/Microsoft.ML.LightGbm/LightGbmMulticlassTrainer.cs
index 40a0082fde..29f19f6b2c 100644
--- a/src/Microsoft.ML.LightGbm/LightGbmMulticlassTrainer.cs
+++ b/src/Microsoft.ML.LightGbm/LightGbmMulticlassTrainer.cs
@@ -100,6 +100,8 @@ public enum EvaluateMetricType
             static Options()
             {
                 NameMapping.Add(nameof(EvaluateMetricType), "metric");
+                NameMapping.Add(nameof(EvaluateMetricType.None), "None");
+                NameMapping.Add(nameof(EvaluateMetricType.Default), "");
                 NameMapping.Add(nameof(EvaluateMetricType.Error), "multi_error");
                 NameMapping.Add(nameof(EvaluateMetricType.LogLoss), "multi_logloss");
             }
@@ -109,8 +111,7 @@ internal override Dictionary<string, object> ToDictionary(IHost host)
                 var res = base.ToDictionary(host);
 
                 res[GetOptionName(nameof(Sigmoid))] = Sigmoid;
-                if(EvaluationMetric != EvaluateMetricType.Default)
-                    res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
+                res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
 
                 return res;
             }
diff --git a/src/Microsoft.ML.LightGbm/LightGbmRankingTrainer.cs b/src/Microsoft.ML.LightGbm/LightGbmRankingTrainer.cs
index 7af6d37734..12cc0b148e 100644
--- a/src/Microsoft.ML.LightGbm/LightGbmRankingTrainer.cs
+++ b/src/Microsoft.ML.LightGbm/LightGbmRankingTrainer.cs
@@ -149,7 +149,8 @@ static Options()
             {
                 NameMapping.Add(nameof(CustomGains), "label_gain");
                 NameMapping.Add(nameof(EvaluateMetricType), "metric");
-                NameMapping.Add(nameof(EvaluateMetricType.None), "");
+                NameMapping.Add(nameof(EvaluateMetricType.None), "None");
+                NameMapping.Add(nameof(EvaluateMetricType.Default), "");
                 NameMapping.Add(nameof(EvaluateMetricType.MeanAveragedPrecision), "map");
                 NameMapping.Add(nameof(EvaluateMetricType.NormalizedDiscountedCumulativeGain), "ndcg");
             }
@@ -159,8 +160,7 @@ internal override Dictionary<string, object> ToDictionary(IHost host)
                 var res = base.ToDictionary(host);
                 res[GetOptionName(nameof(Sigmoid))] = Sigmoid;
                 res[GetOptionName(nameof(CustomGains))] = string.Join(",", CustomGains);
-                if (EvaluationMetric != EvaluateMetricType.Default)
-                    res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
+                res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
 
                 return res;
             }
diff --git a/src/Microsoft.ML.LightGbm/LightGbmRegressionTrainer.cs b/src/Microsoft.ML.LightGbm/LightGbmRegressionTrainer.cs
index db53fde6b8..90ad8cfa39 100644
--- a/src/Microsoft.ML.LightGbm/LightGbmRegressionTrainer.cs
+++ b/src/Microsoft.ML.LightGbm/LightGbmRegressionTrainer.cs
@@ -138,7 +138,8 @@ public enum EvaluateMetricType
             static Options()
             {
                 NameMapping.Add(nameof(EvaluateMetricType), "metric");
-                NameMapping.Add(nameof(EvaluateMetricType.None), "");
+                NameMapping.Add(nameof(EvaluateMetricType.None), "None");
+                NameMapping.Add(nameof(EvaluateMetricType.Default), "");
                 NameMapping.Add(nameof(EvaluateMetricType.MeanAbsoluteError), "mae");
                 NameMapping.Add(nameof(EvaluateMetricType.RootMeanSquaredError), "rmse");
                 NameMapping.Add(nameof(EvaluateMetricType.MeanSquaredError), "mse");
@@ -147,8 +148,7 @@ static Options()
             internal override Dictionary<string, object> ToDictionary(IHost host)
             {
                 var res = base.ToDictionary(host);
-                if (EvaluationMetric != EvaluateMetricType.Default)
-                    res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
+                res[GetOptionName(nameof(EvaluateMetricType))] = GetOptionName(EvaluationMetric.ToString());
 
                 return res;
             }
diff --git a/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs b/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs
index bf8eba4ce7..73a5fa4149 100644
--- a/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs
+++ b/test/Microsoft.ML.Tests/TrainerEstimators/TreeEstimators.cs
@@ -277,6 +277,25 @@ public void LightGbmMulticlassEstimator()
             Done();
         }
 
+        /// <summary>
+        /// LightGbmMulticlass TrainerEstimator test with options
+        /// </summary>
+        [LightGBMFact]
+        public void LightGbmMulticlassEstimatorWithOptions()
+        {
+            var options = new LightGbmMulticlassTrainer.Options
+            {
+                EvaluationMetric = LightGbmMulticlassTrainer.Options.EvaluateMetricType.Default
+            };
+
+            var (pipeline, dataView) = GetMulticlassPipeline();
+            var trainer = ML.MulticlassClassification.Trainers.LightGbm(options);
+            var pipe = pipeline.Append(trainer)
+                    .Append(new KeyToValueMappingEstimator(Env, "PredictedLabel"));
+            TestEstimatorCore(pipe, dataView);
+            Done();
+        }
+
         /// <summary>
         /// LightGbmMulticlass CorrectSigmoid test 
         /// </summary>