diff --git a/CHANGELOG.md b/CHANGELOG.md
index 640b4c925..d8874b2ea 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -10,6 +10,19 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 
+### Removed
+
+### Changed
+
+### Fixed
+
+### Docs
+
+
+## [0.7.3] - 2023-03-16
+
+### Added
+
 - Add support for batch size scaling. ([#691](https://github.com/jina-ai/finetuner/pull/691))
 
 - Add functions to retrieve evaluation metrics and example results. ([#687](https://github.com/jina-ai/finetuner/pull/687))
diff --git a/finetuner/constants.py b/finetuner/constants.py
index 7afab9f35..331dcf44a 100644
--- a/finetuner/constants.py
+++ b/finetuner/constants.py
@@ -33,6 +33,7 @@
 TRAIN_DATA = 'train_data'
 EVAL_DATA = 'eval_data'
 VAL_SPLIT = 'val_split'
+EVALUATE = 'evaluate'
 ARTIFACTS_DIR = 'artifacts/'
 MODEL = 'model'
 MODEL_OPTIONS = 'model_options'
diff --git a/setup.cfg b/setup.cfg
index a29cae19f..e278243a0 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,5 +1,5 @@
 [metadata]
-version = 0.7.2
+version = 0.7.3
 
 [flake8]
 # E501 is too long lines - ignore as black takes care of that
diff --git a/setup.py b/setup.py
index 79506eb57..62a67892f 100644
--- a/setup.py
+++ b/setup.py
@@ -29,12 +29,12 @@
         install_requires=[
             'docarray[common]>=0.21.0',
             'trimesh==3.16.4',
-            'finetuner-stubs==0.12.7',
+            'finetuner-stubs==0.12.9',
             'jina-hubble-sdk==0.33.1',
         ],
         extras_require={
             'full': [
-                'finetuner-commons==0.12.7',
+                'finetuner-commons==0.12.9',
             ],
             'test': [
                 'black==22.3.0',
diff --git a/tests/unit/test_experiment.py b/tests/unit/test_experiment.py
index 47250a28d..5271a6847 100644
--- a/tests/unit/test_experiment.py
+++ b/tests/unit/test_experiment.py
@@ -11,6 +11,7 @@
     DATA,
     EPOCHS,
     EVAL_DATA,
+    EVALUATE,
     EXPERIMENT_NAME,
     FAILED,
     FINISHED,
@@ -111,6 +112,7 @@ def test_create_run_config():
         DATA: {
             TRAIN_DATA: 'train_data',
             EVAL_DATA: 'eval_data',
+            EVALUATE: False,
             NUM_WORKERS: 8,
             NUM_ITEMS_PER_CLASS: 4,
             VAL_SPLIT: 0.0,