diff --git a/js/react_native/android/src/main/java/ai/onnxruntime/reactnative/OnnxruntimeModule.java b/js/react_native/android/src/main/java/ai/onnxruntime/reactnative/OnnxruntimeModule.java
index 53a9bb51f9..fe59cefbee 100644
--- a/js/react_native/android/src/main/java/ai/onnxruntime/reactnative/OnnxruntimeModule.java
+++ b/js/react_native/android/src/main/java/ai/onnxruntime/reactnative/OnnxruntimeModule.java
@@ -72,7 +72,7 @@ public class OnnxruntimeModule extends ReactContextBaseJavaModule {
       WritableMap resultMap = loadModel(uri, options);
       promise.resolve(resultMap);
     } catch (Exception e) {
-      promise.reject("Can't read a model " + uri, e);
+      promise.reject("Can't load model \"" + uri + "\": " + e.getMessage(), e);
     }
   }
 
@@ -91,7 +91,7 @@ public class OnnxruntimeModule extends ReactContextBaseJavaModule {
       WritableMap resultMap = run(key, input, output, options);
       promise.resolve(resultMap);
     } catch (Exception e) {
-      promise.reject("Fail to inference", e);
+      promise.reject("Fail to inference: " + e.getMessage(), e);
     }
   }
 
@@ -122,21 +122,14 @@ public class OnnxruntimeModule extends ReactContextBaseJavaModule {
 
     if (!sessionMap.containsKey(uri)) {
       byte[] modelArray = null;
-      try {
-        Reader reader = new BufferedReader(new InputStreamReader(modelStream));
-        modelArray = new byte[modelStream.available()];
-        modelStream.read(modelArray);
-      } catch (IOException e) {
-        throw new Exception("Can't read a model " + uri, e);
-      }
 
-      try {
-        SessionOptions sessionOptions = parseSessionOptions(options);
-        ortSession = ortEnvironment.createSession(modelArray, sessionOptions);
-        sessionMap.put(uri, ortSession);
-      } catch (OrtException e) {
-        throw new Exception("Can't create InferenceSession", e);
-      }
+      Reader reader = new BufferedReader(new InputStreamReader(modelStream));
+      modelArray = new byte[modelStream.available()];
+      modelStream.read(modelArray);
+
+      SessionOptions sessionOptions = parseSessionOptions(options);
+      ortSession = ortEnvironment.createSession(modelArray, sessionOptions);
+      sessionMap.put(uri, ortSession);
     } else {
       ortSession = sessionMap.get(uri);
     }
@@ -169,7 +162,7 @@ public class OnnxruntimeModule extends ReactContextBaseJavaModule {
   public WritableMap run(String key, ReadableMap input, ReadableArray output, ReadableMap options) throws Exception {
     OrtSession ortSession = sessionMap.get(key);
     if (ortSession == null) {
-      throw new Exception("Model is not loaded " + key);
+      throw new Exception("Model is not loaded: " + key);
     }
 
     RunOptions runOptions = parseRunOptions(options);
@@ -177,51 +170,62 @@ public class OnnxruntimeModule extends ReactContextBaseJavaModule {
     long startTime = System.currentTimeMillis();
     Map<String, OnnxTensor> feed = new HashMap<>();
     Iterator<String> iterator = ortSession.getInputNames().iterator();
-    while (iterator.hasNext()) {
-      String inputName = iterator.next();
+    try {
+      while (iterator.hasNext()) {
+        String inputName = iterator.next();
 
-      ReadableMap inputMap = input.getMap(inputName);
-      if (inputMap == null) {
-        throw new Exception("Can't find input: " + inputName);
+        ReadableMap inputMap = input.getMap(inputName);
+        if (inputMap == null) {
+          throw new Exception("Can't find input: " + inputName);
+        }
+
+        if (inputMap.getType("data") != ReadableType.String) {
+          // NOTE:
+          //
+          // tensor data should always be a BASE64 encoded string.
+          // This is because the current React Native bridge supports limited data type as arguments.
+          // In order to pass data from JS to Java, we have to encode them into string.
+          //
+          // see also:
+          //   https://reactnative.dev/docs/native-modules-android#argument-types
+          throw new Exception("Non string type of a tensor data is not allowed");
+        }
+
+        OnnxTensor onnxTensor = TensorHelper.createInputTensor(inputMap, ortEnvironment);
+        feed.put(inputName, onnxTensor);
       }
 
-      if (inputMap.getType("data") != ReadableType.String) {
-        throw new Exception("Non string type of a tensor data is not allowed");
+      Set<String> requestedOutputs = null;
+      if (output.size() > 0) {
+        requestedOutputs = new HashSet<>();
+        for (int i = 0; i < output.size(); ++i) {
+          requestedOutputs.add(output.getString(i));
+        }
       }
 
-      OnnxTensor onnxTensor = TensorHelper.createInputTensor(inputMap, ortEnvironment);
-      feed.put(inputName, onnxTensor);
-    }
+      long duration = System.currentTimeMillis() - startTime;
+      Log.d("Duration", "createInputTensor: " + duration);
 
-    Set<String> requestedOutputs = null;
-    if (output.size() > 0) {
-      requestedOutputs = new HashSet<>();
-      for (int i = 0; i < output.size(); ++i) {
-        requestedOutputs.add(output.getString(i));
+      startTime = System.currentTimeMillis();
+      Result result = null;
+      if (requestedOutputs != null) {
+        result = ortSession.run(feed, requestedOutputs, runOptions);
+      } else {
+        result = ortSession.run(feed, runOptions);
       }
+      duration = System.currentTimeMillis() - startTime;
+      Log.d("Duration", "inference: " + duration);
+
+      startTime = System.currentTimeMillis();
+      WritableMap resultMap = TensorHelper.createOutputTensor(result);
+      duration = System.currentTimeMillis() - startTime;
+      Log.d("Duration", "createOutputTensor: " + duration);
+
+      return resultMap;
+
+    } finally {
+      OnnxValue.close(feed);
     }
-
-    long duration = System.currentTimeMillis() - startTime;
-    Log.d("Duration", "createInputTensor: " + duration);
-
-    startTime = System.currentTimeMillis();
-    Result result = null;
-    if (requestedOutputs != null) {
-      result = ortSession.run(feed, requestedOutputs, runOptions);
-    } else {
-      result = ortSession.run(feed, runOptions);
-    }
-    duration = System.currentTimeMillis() - startTime;
-    Log.d("Duration", "inference: " + duration);
-
-    startTime = System.currentTimeMillis();
-    WritableMap resultMap = TensorHelper.createOutputTensor(result);
-    duration = System.currentTimeMillis() - startTime;
-    Log.d("Duration", "createOutputTensor: " + duration);
-
-    OnnxValue.close(feed);
-
-    return resultMap;
   }
 
   private static final Map<String, SessionOptions.OptLevel> graphOptimizationLevelTable =