diff --git a/build/vsts-ci.yml b/build/vsts-ci.yml
index 4c31f2b91f..b3eb3e61d2 100644
--- a/build/vsts-ci.yml
+++ b/build/vsts-ci.yml
@@ -100,7 +100,7 @@ stages:
     pool:
       vmImage: macOS-12
     steps:
-    - script: export HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 && brew update &&  rm '/usr/local/bin/2to3-3.11' && brew unlink libomp && brew install $(Build.SourcesDirectory)/build/libomp.rb --build-from-source --formula
+    - script: export HOMEBREW_NO_INSTALLED_DEPENDENTS_CHECK=1 &&  rm '/usr/local/bin/2to3-3.11' && brew unlink libomp && brew install $(Build.SourcesDirectory)/build/libomp.rb --build-from-source --formula
       displayName: Install build dependencies
     # Only build native assets to avoid conflicts.
     - script: ./build.sh -projects $(Build.SourcesDirectory)/src/Native/Native.proj -configuration $(BuildConfig) /p:TargetArchitecture=x64 /p:CopyPackageAssets=true
diff --git a/src/Microsoft.ML.TorchSharp/NasBert/SentenceSimilarityTrainer.cs b/src/Microsoft.ML.TorchSharp/NasBert/SentenceSimilarityTrainer.cs
index 0be90385e5..a56e43060d 100644
--- a/src/Microsoft.ML.TorchSharp/NasBert/SentenceSimilarityTrainer.cs
+++ b/src/Microsoft.ML.TorchSharp/NasBert/SentenceSimilarityTrainer.cs
@@ -58,7 +58,19 @@ namespace Microsoft.ML.TorchSharp.NasBert
     ///
     public class SentenceSimilarityTrainer : NasBertTrainer<float, float>
     {
-        internal SentenceSimilarityTrainer(IHostEnvironment env, Options options) : base(env, options)
+
+        public class SentenceSimilarityOptions : NasBertOptions
+        {
+            public SentenceSimilarityOptions()
+            {
+                BatchSize = 32;
+                MaxEpoch = 10;
+                TaskType = BertTaskType.SentenceRegression;
+                LearningRate = new List<double>() { .0002 };
+                WeightDecay = .01;
+            }
+        }
+        internal SentenceSimilarityTrainer(IHostEnvironment env, SentenceSimilarityOptions options) : base(env, options)
         {
         }
 
@@ -71,7 +83,7 @@ internal SentenceSimilarityTrainer(IHostEnvironment env,
             int maxEpochs = 10,
             IDataView validationSet = null,
             BertArchitecture architecture = BertArchitecture.Roberta) :
-            this(env, new NasBertOptions
+            this(env, new SentenceSimilarityOptions
             {
                 ScoreColumnName = scoreColumnName,
                 Sentence1ColumnName = sentence1ColumnName,
diff --git a/src/Microsoft.ML.TorchSharp/NasBert/TextClassificationTrainer.cs b/src/Microsoft.ML.TorchSharp/NasBert/TextClassificationTrainer.cs
index b0c7672b6c..2ee0074308 100644
--- a/src/Microsoft.ML.TorchSharp/NasBert/TextClassificationTrainer.cs
+++ b/src/Microsoft.ML.TorchSharp/NasBert/TextClassificationTrainer.cs
@@ -60,7 +60,17 @@ namespace Microsoft.ML.TorchSharp.NasBert
     ///
     public class TextClassificationTrainer : NasBertTrainer<UInt32, long>
     {
-        internal TextClassificationTrainer(IHostEnvironment env, NasBertOptions options) : base(env, options)
+        public class TextClassificationOptions : NasBertTrainer.NasBertOptions
+        {
+            public TextClassificationOptions()
+            {
+                TaskType = BertTaskType.TextClassification;
+                BatchSize = 32;
+                MaxEpoch = 10;
+            }
+        }
+
+        internal TextClassificationTrainer(IHostEnvironment env, TextClassificationOptions options) : base(env, options)
         {
         }
 
@@ -74,7 +84,7 @@ internal TextClassificationTrainer(IHostEnvironment env,
             int maxEpochs = 10,
             IDataView validationSet = null,
             BertArchitecture architecture = BertArchitecture.Roberta) :
-            this(env, new NasBertOptions
+            this(env, new TextClassificationOptions
             {
                 PredictionColumnName = predictionColumnName,
                 ScoreColumnName = scoreColumnName,
diff --git a/src/Microsoft.ML.TorchSharp/TorchSharpCatalog.cs b/src/Microsoft.ML.TorchSharp/TorchSharpCatalog.cs
index 06d4350233..a0d9970ea1 100644
--- a/src/Microsoft.ML.TorchSharp/TorchSharpCatalog.cs
+++ b/src/Microsoft.ML.TorchSharp/TorchSharpCatalog.cs
@@ -59,7 +59,7 @@ public static TextClassificationTrainer TextClassification(
         /// <returns></returns>
         public static TextClassificationTrainer TextClassification(
             this MulticlassClassificationCatalog.MulticlassClassificationTrainers catalog,
-            NasBertTrainer.NasBertOptions options)
+            TextClassificationTrainer.TextClassificationOptions options)
             => new TextClassificationTrainer(CatalogUtils.GetEnvironment(catalog), options);
 
         /// <summary>
@@ -99,7 +99,7 @@ public static SentenceSimilarityTrainer SentenceSimilarity(
         /// <returns></returns>
         public static SentenceSimilarityTrainer SentenceSimilarity(
             this RegressionCatalog.RegressionTrainers catalog,
-            NasBertTrainer.NasBertOptions options)
+            SentenceSimilarityTrainer.SentenceSimilarityOptions options)
             => new SentenceSimilarityTrainer(CatalogUtils.GetEnvironment(catalog), options);
 
 
diff --git a/test/Microsoft.ML.Tests/TextClassificationTests.cs b/test/Microsoft.ML.Tests/TextClassificationTests.cs
index 92c0d4f2a4..0a00cb1047 100644
--- a/test/Microsoft.ML.Tests/TextClassificationTests.cs
+++ b/test/Microsoft.ML.Tests/TextClassificationTests.cs
@@ -432,14 +432,12 @@ public void TestSentenceSimilarityLargeFileGpu()
 
             var dataSplit = ML.Data.TrainTestSplit(dataView, testFraction: 0.2);
 
-            var options = new NasBertTrainer.NasBertOptions()
+            var options = new SentenceSimilarityTrainer.SentenceSimilarityOptions()
             {
                 TaskType = BertTaskType.SentenceRegression,
                 Sentence1ColumnName = "search_term",
                 Sentence2ColumnName = "product_description",
                 LabelColumnName = "relevance",
-                LearningRate = new List<double>() { .0002 },
-                WeightDecay = .01
             };
 
             var estimator = ML.Regression.Trainers.SentenceSimilarity(options);