chlog: update after 1.6.1

Author: Borda

CHANGELOG.md

@@ -20,31 +20,32 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Make `num_classes` optional for classification in case of micro averaging ([#2841](https://github.com/PyTorchLightning/metrics/pull/2841))
 
 
-- Enabled specifying weights path for FID ([#2867](https://github.com/PyTorchLightning/metrics/pull/2867))
-
-
 ### Removed
 
 -
 
 
 ### Fixed
 
-- Fixed plotting of multilabel confusion matrix ([#2858](https://github.com/PyTorchLightning/metrics/pull/2858))
-
+-
 
-- Delete `Device2Host` caused by comm with device and host ([#2840](https://github.com/PyTorchLightning/metrics/pull/2840))
 
+---
 
-- Fixed issue with shared state in metric collection when using dice score ([#2848](https://github.com/PyTorchLightning/metrics/pull/2848))
+## [1.6.1] - 2024-12-24
 
+### Changed
 
-- Fixed `top_k` for `multiclassf1score` with one-hot encoding ([#2839](https://github.com/Lightning-AI/torchmetrics/issues/2839))
+- Enabled specifying weights path for FID ([#2867](https://github.com/PyTorchLightning/metrics/pull/2867))
+- Delete `Device2Host` caused by comm with device and host ([#2840](https://github.com/PyTorchLightning/metrics/pull/2840))
 
+### Fixed
 
+- Fixed plotting of multilabel confusion matrix ([#2858](https://github.com/PyTorchLightning/metrics/pull/2858))
+- Fixed issue with shared state in metric collection when using dice score ([#2848](https://github.com/PyTorchLightning/metrics/pull/2848))
+- Fixed `top_k` for `multiclassf1score` with one-hot encoding ([#2839](https://github.com/Lightning-AI/torchmetrics/issues/2839))
 - Fixed slow calculations of classification metrics with MPS ([#2876](https://github.com/Lightning-AI/torchmetrics/issues/2876))
 
----
 
 ## [1.6.0] - 2024-11-12