diff --git a/docs/source/guide/explanation/algorithms/action/action_classification.rst b/docs/source/guide/explanation/algorithms/action/action_classification.rst
index c570da5b842..be1b81b2a72 100644
--- a/docs/source/guide/explanation/algorithms/action/action_classification.rst
+++ b/docs/source/guide/explanation/algorithms/action/action_classification.rst
@@ -30,7 +30,7 @@ Models
 Currently OpenVINO™ Training Extensions supports `X3D <https://arxiv.org/abs/2004.04730>`_ and `MoViNet <https://arxiv.org/pdf/2103.11511.pdf>`_ for action classification.
 
 +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+---------------------+-------------------------+
-| Recipe ID                                                                                                                                                                            | Name    | Complexity (GFLOPs) | Model size (MB)         |
+| Recipe ID                                                                                                                                                                              | Name    | Complexity (GFLOPs) | Model size (MB)         |
 +========================================================================================================================================================================================+=========+=====================+=========================+
 | `Custom_Action_Classification_X3D <https://github.com/openvinotoolkit/training_extensions/blob/develop/src/otx/recipe/action/action_classification/x3d.yaml>`_                         | X3D     | 2.49                | 3.79                    |
 +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------+---------------------+-------------------------+
diff --git a/docs/source/guide/explanation/algorithms/action/action_detection.rst b/docs/source/guide/explanation/algorithms/action/action_detection.rst
index b36b2bb0bec..1eae4fae0d3 100644
--- a/docs/source/guide/explanation/algorithms/action/action_detection.rst
+++ b/docs/source/guide/explanation/algorithms/action/action_detection.rst
@@ -27,7 +27,7 @@ Models
 We support the following ready-to-use model recipes for transfer learning:
 
 +-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------+---------------------+-------------------------+
-| Recipe ID                                                                                                                                                                             | Name          | Complexity (GFLOPs) | Model size (MB)         |
+| Recipe ID                                                                                                                                                                               | Name          | Complexity (GFLOPs) | Model size (MB)         |
 +=========================================================================================================================================================================================+===============+=====================+=========================+
 | `Custom_Action_Detection_X3D_FAST_RCNN <https://github.com/openvinotoolkit/training_extensions/blob/develop/src/otx/recipe/action/action_detection/x3d_fast_rcnn.yaml>`_                | x3d_fast_rcnn | 13.04               | 8.32                    |
 +-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------+---------------------+-------------------------+
diff --git a/docs/source/guide/explanation/algorithms/classification/multi_class_classification.rst b/docs/source/guide/explanation/algorithms/classification/multi_class_classification.rst
index 3600828570b..0966c047a15 100644
--- a/docs/source/guide/explanation/algorithms/classification/multi_class_classification.rst
+++ b/docs/source/guide/explanation/algorithms/classification/multi_class_classification.rst
@@ -56,7 +56,7 @@ Models
 We support the following ready-to-use model recipes:
 
 +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------+---------------------+-----------------+
-| Recipe ID                                                                                                                                                                                                      | Name                  | Complexity (GFLOPs) | Model size (MB) |
+| Recipe ID                                                                                                                                                                                                        | Name                  | Complexity (GFLOPs) | Model size (MB) |
 +==================================================================================================================================================================================================================+=======================+=====================+=================+
 | `Custom_Image_Classification_MobileNet-V3-large-1x <https://github.com/openvinotoolkit/training_extensions/blob/develop/src/otx/recipe/classification/multi_class_cls/otx_mobilenet_v3_large.yaml>`_             | MobileNet-V3-large-1x | 0.44                | 4.29            |
 +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------+---------------------+-----------------+
diff --git a/docs/source/guide/explanation/algorithms/object_detection/object_detection.rst b/docs/source/guide/explanation/algorithms/object_detection/object_detection.rst
index 6f13b3dd25d..3dd3fbc0349 100644
--- a/docs/source/guide/explanation/algorithms/object_detection/object_detection.rst
+++ b/docs/source/guide/explanation/algorithms/object_detection/object_detection.rst
@@ -57,7 +57,7 @@ Models
 We support the following ready-to-use model recipes:
 
 +------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+---------------------+-----------------+
-| Recipe ID                                                                                                                                                | Name                | Complexity (GFLOPs) | Model size (MB) |
+| Recipe ID                                                                                                                                                  | Name                | Complexity (GFLOPs) | Model size (MB) |
 +============================================================================================================================================================+=====================+=====================+=================+
 | `Custom_Object_Detection_YOLOX <https://github.com/openvinotoolkit/training_extensions/blob/develop/src/otx/recipe/detection/yolox_tiny.yaml>`_            |      YOLOX-TINY     | 6.5                 | 20.4            |
 +------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------+---------------------+-----------------+
diff --git a/docs/source/guide/explanation/algorithms/segmentation/semantic_segmentation.rst b/docs/source/guide/explanation/algorithms/segmentation/semantic_segmentation.rst
index a7dc5e43206..e631301702d 100644
--- a/docs/source/guide/explanation/algorithms/segmentation/semantic_segmentation.rst
+++ b/docs/source/guide/explanation/algorithms/segmentation/semantic_segmentation.rst
@@ -56,7 +56,7 @@ Models
 We support the following ready-to-use model recipes:
 
 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------+---------------------+-----------------+
-| Recipe ID                                                                                                                                                                          | Name                   | Complexity (GFLOPs) | Model size (MB) |
+| Recipe ID                                                                                                                                                                            | Name                   | Complexity (GFLOPs) | Model size (MB) |
 +======================================================================================================================================================================================+========================+=====================+=================+
 | `Custom_Semantic_Segmentation_Lite-HRNet-s-mod2_OCR <https://github.com/openvinotoolkit/training_extensions/blob/develop/src/otx/recipe/semantic_segmentation/litehrnet_s.yaml>`_    | Lite-HRNet-s-mod2      | 1.44                | 3.2             |
 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------------------------+---------------------+-----------------+
diff --git a/docs/source/guide/explanation/algorithms/visual_prompting/fine_tuning.rst b/docs/source/guide/explanation/algorithms/visual_prompting/fine_tuning.rst
index 7bc211dccdf..32550c0e479 100644
--- a/docs/source/guide/explanation/algorithms/visual_prompting/fine_tuning.rst
+++ b/docs/source/guide/explanation/algorithms/visual_prompting/fine_tuning.rst
@@ -58,7 +58,7 @@ Models
 We support the following model recipes in experimental phase:
 
 +------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------+---------------------+-----------------+
-|                                                                                        Recipe ID                                                         |     Name     | Complexity (GFLOPs) | Model size (MB) |
+|                                                                                        Recipe ID                                                           |     Name     | Complexity (GFLOPs) | Model size (MB) |
 +============================================================================================================================================================+==============+=====================+=================+
 | `Visual_Prompting_SAM_Tiny_ViT <https://github.com/openvinotoolkit/training_extensions/blob/develop/src/otx/recipe/visual_prompting/sam_tiny_vit.yaml>`_   | SAM_Tiny_ViT | 38.55               | 47              |
 +------------------------------------------------------------------------------------------------------------------------------------------------------------+--------------+---------------------+-----------------+
diff --git a/src/otx/engine/engine.py b/src/otx/engine/engine.py
index e876581e768..7292617b665 100644
--- a/src/otx/engine/engine.py
+++ b/src/otx/engine/engine.py
@@ -65,23 +65,26 @@ class Engine:
     Example:
         The following examples show how to use the Engine class.
 
-        Auto-Configuration with data_root
-        >>> engine = Engine(
-        ...     data_root=<dataset/path>,
-        ... )
-
-        Create Engine with Custom OTXModel
-        >>> engine = Engine(
-        ...     data_root=<dataset/path>,
-        ...     model=OTXModel(...),
-        ...     checkpoint=<checkpoint/path>,
-        ... )
-
-        Create Engine with Custom OTXDataModule
-        >>> engine = Engine(
-        ...     model = OTXModel(...),
-        ...     datamodule = OTXDataModule(...),
-        ... )
+        Auto-Configuration with data_root::
+
+            engine = Engine(
+                data_root=<dataset/path>,
+            )
+
+        Create Engine with Custom OTXModel::
+
+            engine = Engine(
+                data_root=<dataset/path>,
+                model=OTXModel(...),
+                checkpoint=<checkpoint/path>,
+            )
+
+        Create Engine with Custom OTXDataModule::
+
+            engine = Engine(
+                model = OTXModel(...),
+                datamodule = OTXDataModule(...),
+            )
     """
 
     def __init__(
@@ -527,6 +530,7 @@ def optimize(
             ...     datamodule=OTXDataModule(),
             ...     checkpoint=<checkpoint/path>,
             ... )
+
         CLI Usage:
             To optimize a model, run
                 ```python
@@ -743,17 +747,17 @@ def from_model_name(
             ...     data_root=<dataset/path>,
             ... )
 
-            If you want to override configuration from default config
-            >>> overriding = {
-            ...     "data.config.train_subset.batch_size": 2,
-            ...     "data.config.test_subset.subset_name": "TESTING",
-            ... }
-            >>> engine = Engine(
-            ...     model_name="atss_mobilenetv2",
-            ...     task="DETECTION",
-            ...     data_root=<dataset/path>,
-            ...     **overriding,
-            ... )
+            If you want to override configuration from default config:
+                >>> overriding = {
+                ...     "data.config.train_subset.batch_size": 2,
+                ...     "data.config.test_subset.subset_name": "TESTING",
+                ... }
+                >>> engine = Engine(
+                ...     model_name="atss_mobilenetv2",
+                ...     task="DETECTION",
+                ...     data_root=<dataset/path>,
+                ...     **overriding,
+                ... )
         """
         default_config = DEFAULT_CONFIG_PER_TASK.get(task)
         model_path = str(default_config).split("/")