diff --git a/CHANGELOG.md b/CHANGELOG.md
index e7656272fbe..8dcc79fff48 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,47 +8,28 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ---
 
-## [UnReleased] - 2024-MM-DD
+## [1.6.2] - 2024-02-28
 
 ### Added
 
 - Added `zero_division` argument to `DiceScore` in segmentation package ([#2860](https://github.com/PyTorchLightning/metrics/pull/2860))
-
-
 - Added `cache_session` to `DNSMOS` metric to control caching behavior ([#2974](https://github.com/PyTorchLightning/metrics/pull/2974))
-
-
 - Added `disable` option to `nan_strategy` in basic aggregation metrics ([#2943](https://github.com/PyTorchLightning/metrics/pull/2943))
 
-
 ### Changed
 
 - Make `num_classes` optional for classification in case of micro averaging ([#2841](https://github.com/PyTorchLightning/metrics/pull/2841))
-
-
-### Removed
-
--
-
+- Enhance `Clip_Score` to calculate similarities between same modalities ([#2875](https://github.com/PyTorchLightning/metrics/pull/2875))
 
 ### Fixed
 
 - Fixed `DiceScore` when there is zero overlap between predictions and targets ([#2860](https://github.com/PyTorchLightning/metrics/pull/2860))
-
-
-- Fix `MeanAveragePrecision` for `average="micro"` when 0 label is not present ([#2968](https://github.com/PyTorchLightning/metrics/pull/2968))
-
-
-- Fixed cornercase in `PearsonCorrCoef` when input is constant ([#2975](https://github.com/PyTorchLightning/metrics/pull/2975))
-
-
+- Fixed `MeanAveragePrecision` for `average="micro"` when 0 label is not present ([#2968](https://github.com/PyTorchLightning/metrics/pull/2968))
+- Fixed corner-case in `PearsonCorrCoef` when input is constant ([#2975](https://github.com/PyTorchLightning/metrics/pull/2975))
 - Fixed `MetricCollection.update` gives identical results ([#2944](https://github.com/Lightning-AI/torchmetrics/issues/2944))
-
-
 - Fixed missing `kwargs` in `PIT` metric for permutation wise mode ([#2977](https://github.com/Lightning-AI/torchmetrics/pull/2977))
-
-
 - Fixed multiple errors in the `_final_aggregation` function for `PearsonCorrCoef` ([#2980](https://github.com/Lightning-AI/torchmetrics/pull/2980))
+- Fixed incorrect CLIP-IQA type hints ([#2952](https://github.com/Lightning-AI/torchmetrics/pull/2952))
 
 
 ## [1.6.1] - 2024-12-24
diff --git a/src/torchmetrics/__about__.py b/src/torchmetrics/__about__.py
index 1286bfd06a3..81e87753407 100644
--- a/src/torchmetrics/__about__.py
+++ b/src/torchmetrics/__about__.py
@@ -1,4 +1,4 @@
-__version__ = "1.6.1"
+__version__ = "1.6.2"
 __author__ = "Lightning-AI et al."
 __author_email__ = "name@pytorchlightning.ai"
 __license__ = "Apache-2.0"