diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4ca0bcc162fb1..e915d07b799b8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -142,32 +142,32 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
-- Fixed an issue where class or init-only variables of dataclasses were passed to the dataclass constructor in `utilities.apply_to_collection` ([#9702](https://github.com/PyTorchLightning/pytorch-lightning/issues/9702))
 
+-
 
-- Fixed `CombinedLoader` and `max_size_cycle` didn't receive a `DistributedSampler` ([#10374](https://github.com/PyTorchLightning/pytorch-lightning/issues/10374))
 
+-
 
-- Fixed scripting causing false positive deprecation warnings ([#10470](https://github.com/PyTorchLightning/pytorch-lightning/pull/10470), [#10555](https://github.com/PyTorchLightning/pytorch-lightning/pull/10555))
 
+-
 
-- Fixed `isinstance` not working with `init_meta_context`, materialized model not being moved to the device ([#10493](https://github.com/PyTorchLightning/metrics/pull/10493))
 
 
-- Fixed an issue that prevented the Trainer to shutdown workers when execution is interrupted due to failure([#10463](https://github.com/PyTorchLightning/pytorch-lightning/issues/10463))
+## [1.5.2] - 2021-11-16
 
+### Fixed
 
+- Fixed `CombinedLoader` and `max_size_cycle` didn't receive a `DistributedSampler` ([#10374](https://github.com/PyTorchLightning/pytorch-lightning/issues/10374))
+- Fixed an issue where class or init-only variables of dataclasses were passed to the dataclass constructor in `utilities.apply_to_collection` ([#9702](https://github.com/PyTorchLightning/pytorch-lightning/issues/9702))
+- Fixed `isinstance` not working with `init_meta_context`, materialized model not being moved to the device ([#10493](https://github.com/PyTorchLightning/metrics/pull/10493))
+- Fixed an issue that prevented the Trainer to shutdown workers when execution is interrupted due to failure([#10463](https://github.com/PyTorchLightning/pytorch-lightning/issues/10463))
 - Squeeze the early stopping monitor to remove empty tensor dimensions ([#10461](https://github.com/PyTorchLightning/pytorch-lightning/issues/10461))
-
-
 - Fixed sampler replacement logic with `overfit_batches` to only replace the sample when `SequentialSampler` is not used ([#10486](https://github.com/PyTorchLightning/pytorch-lightning/issues/10486))
-
-
+- Fixed scripting causing false positive deprecation warnings ([#10470](https://github.com/PyTorchLightning/pytorch-lightning/pull/10470), [#10555](https://github.com/PyTorchLightning/pytorch-lightning/pull/10555))
+- Do not fail if batch size could not be inferred for logging when using DeepSpeed ([#10438](https://github.com/PyTorchLightning/pytorch-lightning/issues/10438))
 - Fixed propagation of device and dtype information to submodules of LightningLite when they inherit from `DeviceDtypeModuleMixin` ([#10559](https://github.com/PyTorchLightning/pytorch-lightning/issues/10559))
 
 
--
-
 ## [1.5.1] - 2021-11-09
 
 ### Fixed