diff --git a/model-optimizer/extensions/middle/FusedBatchNormTraining.py b/model-optimizer/extensions/middle/FusedBatchNormTraining.py
index e693c2d0b451e9..56761ccd052e3d 100644
--- a/model-optimizer/extensions/middle/FusedBatchNormTraining.py
+++ b/model-optimizer/extensions/middle/FusedBatchNormTraining.py
@@ -58,9 +58,9 @@ def replace_pattern(self, graph: Graph, match: dict):
 
         input_rank = len(node.in_port(0).data.get_shape())
         rng = create_op_with_const_inputs(graph, Range,
-                                          {0: int64_array(2), 1: int64_array(input_rank), 2: int64_array(1)},
+                                          {0: int64_array(1), 1: int64_array(input_rank - 1), 2: int64_array(1)},
                                           {'name': node_name + '/Range', 'output_type': np.int64})
-        mvn = MVN(graph, {'name': node_name + '/mvn_', 'eps': node.soft_get('eps', 1e-6), 'eps_mode': 'outside_sqrt',
+        mvn = MVN(graph, {'name': node_name + '/mvn_', 'eps': node.soft_get('eps', 1e-6), 'eps_mode': 'inside_sqrt',
                           'normalize_variance': 1, 'override_output_shape': True}).create_node()
         node.in_port(0).get_connection().insert_node(mvn)
         mvn.in_port(1).connect(rng.out_port(0))
diff --git a/model-optimizer/unit_tests/extensions/middle/FusedBatchNormTraining_test.py b/model-optimizer/unit_tests/extensions/middle/FusedBatchNormTraining_test.py
index d7a4c4a3e398ec..76475b2eb746b5 100644
--- a/model-optimizer/unit_tests/extensions/middle/FusedBatchNormTraining_test.py
+++ b/model-optimizer/unit_tests/extensions/middle/FusedBatchNormTraining_test.py
@@ -52,16 +52,16 @@
     'reshape_to_orig': {'type': 'Reshape', 'value': None, 'kind': 'op', 'op': 'Reshape'},
     'reshape_to_orig_data': {'value': None, 'shape': None, 'kind': 'data'},
 
-    'start': {'kind': 'op', 'op': 'Const'},
-    'start_data': {'value': None, 'shape': None, 'kind': 'data'},
-    'stop': {'kind': 'op', 'op': 'Const'},
-    'stop_data': {'value': None, 'shape': None, 'kind': 'data'},
-    'step': {'kind': 'op', 'op': 'Const'},
-    'step_data': {'value': None, 'shape': None, 'kind': 'data'},
+    'start': {'kind': 'op', 'op': 'Const', 'value': int64_array(1)},
+    'start_data': {'value': None, 'shape': None, 'kind': 'data', 'value': int64_array(1)},
+    'stop': {'kind': 'op', 'op': 'Const', 'value': int64_array(3)},
+    'stop_data': {'value': None, 'shape': None, 'kind': 'data', 'value': int64_array(3)},
+    'step': {'kind': 'op', 'op': 'Const', 'value': int64_array(1)},
+    'step_data': {'value': None, 'shape': None, 'kind': 'data', 'value': int64_array(1)},
     'mvn_axes': {'kind': 'op', 'op': 'Range'},
     'mvn_axes_data': {'value': None, 'shape': None, 'kind': 'data'},
 
-    'mvn': {'type': 'MVN', 'value': None, 'kind': 'op', 'op': 'MVN', 'eps': 1e-3},
+    'mvn': {'type': 'MVN', 'value': None, 'kind': 'op', 'op': 'MVN', 'eps': 1e-3, 'eps_mode': 'inside_sqrt'},
     'mvn_data': {'value': None, 'shape': None, 'kind': 'data'},
 
     'reshape_1': {'type': 'Reshape', 'value': None, 'kind': 'op', 'op': 'Reshape'},