Update changelog after 1.5.7 release (#11204)

Co-authored-by: rohitgr7 <[email protected]>

Author: awaelchli

CHANGELOG.md

@@ -328,40 +328,32 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
-- Fixed `NeptuneLogger` when using DDP ([#11030](https://github.com/PyTorchLightning/pytorch-lightning/pull/11030))
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-
 - Fixed security vulnerabilities CVE-2020-1747 and CVE-2020-14343 caused by the `PyYAML` dependency ([#11099](https://github.com/PyTorchLightning/pytorch-lightning/pull/11099))
 
 
-- Fixed a bug to disable logging hyperparameters in logger if there are no hparams ([#11105](https://github.com/PyTorchLightning/pytorch-lightning/issues/11105))
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-
-- Avoid the deprecated `onnx.export(example_outputs=...)` in torch 1.10 ([#11116](https://github.com/PyTorchLightning/pytorch-lightning/pull/11116))
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-
-- Fixed an issue when torch-scripting a `LightningModule` after training with `Trainer(sync_batchnorm=True)` ([#11078](https://github.com/PyTorchLightning/pytorch-lightning/pull/11078))
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-- Fixed an `AttributeError` occuring when using a `CombinedLoader` (multiple dataloaders) for prediction ([#11111](https://github.com/PyTorchLightning/pytorch-lightning/pull/11111))
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-- Fixed bug where `Trainer(track_grad_norm=..., logger=False)' would fail ([#11114](https://github.com/PyTorchLightning/pytorch-lightning/pull/11114))
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 - Fixed logging on `{test,validation}_epoch_end` with multiple dataloaders ([#11132](https://github.com/PyTorchLightning/pytorch-lightning/pull/11132))
 
 
 - Fixed double evaluation bug with fault-tolerance enabled where the second call was completely skipped ([#11119](https://github.com/PyTorchLightning/pytorch-lightning/pull/11119))
 
 
-- Fixed an incorrect warning being produced by the model summary when using `bf16` precision on CPU ([#11161](https://github.com/PyTorchLightning/pytorch-lightning/pull/11161))
 
+## [1.5.7] - 2021-12-21
 
--
+### Fixed
+
+- Fixed `NeptuneLogger` when using DDP ([#11030](https://github.com/PyTorchLightning/pytorch-lightning/pull/11030))
+- Fixed a bug to disable logging hyperparameters in logger if there are no hparams ([#11105](https://github.com/PyTorchLightning/pytorch-lightning/issues/11105))
+- Avoid the deprecated `onnx.export(example_outputs=...)` in torch 1.10 ([#11116](https://github.com/PyTorchLightning/pytorch-lightning/pull/11116))
+- Fixed an issue when torch-scripting a `LightningModule` after training with `Trainer(sync_batchnorm=True)` ([#11078](https://github.com/PyTorchLightning/pytorch-lightning/pull/11078))
+- Fixed an `AttributeError` occuring when using a `CombinedLoader` (multiple dataloaders) for prediction ([#11111](https://github.com/PyTorchLightning/pytorch-lightning/pull/11111))
+- Fixed bug where `Trainer(track_grad_norm=..., logger=False)` would fail ([#11114](https://github.com/PyTorchLightning/pytorch-lightning/pull/11114))
+- Fixed an incorrect warning being produced by the model summary when using `bf16` precision on CPU ([#11161](https://github.com/PyTorchLightning/pytorch-lightning/pull/11161))
 
+### Changed
 
--
+- DeepSpeed does not require lightning module zero 3 partitioning ([#10655](https://github.com/PyTorchLightning/pytorch-lightning/pull/10655))
+- The `ModelCheckpoint` callback now saves and restores attributes `best_k_models`, `kth_best_model_path`, `kth_value`, and `last_model_path` ([#10995](https://github.com/PyTorchLightning/pytorch-lightning/pull/10995))
 
 
 ## [1.5.6] - 2021-12-15