diff --git a/TrainingExtensions/onnx/src/python/aimet_onnx/sequential_mse/seq_mse.py b/TrainingExtensions/onnx/src/python/aimet_onnx/sequential_mse/seq_mse.py
index e2289c48e78..41f20e7cea2 100644
--- a/TrainingExtensions/onnx/src/python/aimet_onnx/sequential_mse/seq_mse.py
+++ b/TrainingExtensions/onnx/src/python/aimet_onnx/sequential_mse/seq_mse.py
@@ -99,7 +99,7 @@ def __init__(self,
 
         :param model: float model
         :param sim: QuantizationSimModel object
-        :param data_loader: Data loader
+        :param data_loader: Torch Dataloader
         :param params: Sequential MSE parameters
         """
 
@@ -151,6 +151,50 @@ def __init__(self,
                                                            self.static_tensor_name_to_proto)
         self.quantizers_to_be_disabled = self._get_quantizers_to_be_disabled() # check this
 
+    def _update_value_info_for_output(self, node):
+        """
+        Updates the value info for output of a node in sim model.
+        Value info for QcQuantizeOp is not present in _sim_extractor
+
+        :param node: onnx node
+        """
+
+        input_name = node.input[0]
+        output_name = node.output[0]
+        if input_name in self._sim_extractor.vimap and output_name not in self._sim_extractor.vimap:
+            value_info_for_output = copy.deepcopy(self._sim_extractor.vimap[input_name])
+            value_info_for_output.name = node.output[0]
+            self._sim_extractor.vimap[node.output[0]] = value_info_for_output
+
+    def _update_value_info_for_input(self, node):
+        """
+        Updates the value info for input of a node in sim model.
+        Value info for QcQuantizeOp is not present in _sim_extractor
+
+        :param node: onnx node
+        """
+
+        input_name = node.input[0]
+        output_name = node.output[0]
+        if output_name in self._sim_extractor.vimap and input_name not in self._sim_extractor.vimap:
+            value_info_for_input = copy.deepcopy(self._sim_extractor.vimap[output_name])
+            value_info_for_input.name = node.input[0]
+            self._sim_extractor.vimap[node.input[0]] = value_info_for_input
+
+    def _update_value_info_for_graph_output(self):
+        """
+        Updates the value info for input of a node in sim model.
+        Value info for QcQuantizeOp is not present in _sim_extractor
+
+        :param node: onnx node
+        """
+
+        for value_info in self.model.model.graph.output:
+            self._float_extractor.vimap[value_info.name] = value_info
+
+        for value_info in self.sim.model.model.graph.output:
+            self._sim_extractor.vimap[value_info.name] = value_info
+
     def _update_value_info(self):
         """
         Updates the value info for sim model.
@@ -159,11 +203,10 @@ def _update_value_info(self):
 
         for node in self.sim.model.nodes():
             if node.op_type == "QcQuantizeOp":
-                input_name = node.input[0]
-                if input_name in self._sim_extractor.vimap:
-                    value_info_for_output = copy.deepcopy(self._sim_extractor.vimap[input_name])
-                    value_info_for_output.name = node.output[0]
-                    self._sim_extractor.vimap[node.output[0]] = value_info_for_output
+                self._update_value_info_for_output(node)
+                self._update_value_info_for_input(node)
+
+        self._update_value_info_for_graph_output()
 
     def _fill_static_tensor_name_to_proto(self):
         """