diff --git a/poetry.lock b/poetry.lock
index 883fed486..6fbb9e07f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -5366,13 +5366,13 @@ unidecode = ["Unidecode (>=1.1.1)"]
 
 [[package]]
 name = "pytorch-lightning"
-version = "2.0.7"
+version = "2.0.9.post0"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytorch-lightning-2.0.7.tar.gz", hash = "sha256:4e6bc1e1f7b0c69016ea2fe0616b18fa62bd3d8661c7ff02c11d317746cfc5f5"},
-    {file = "pytorch_lightning-2.0.7-py3-none-any.whl", hash = "sha256:720add0c42d8eb042f371a77581feb2796429cffbe635156e9343775e9e5ba35"},
+    {file = "pytorch-lightning-2.0.9.post0.tar.gz", hash = "sha256:435b22e3b3ef7d64131bb8e3fb00bbfeb16d2fae33c78b5ee54058dee1948a26"},
+    {file = "pytorch_lightning-2.0.9.post0-py3-none-any.whl", hash = "sha256:adef569cd84053889b7bbf566be7506385170b4e82401bedfd6bcadf3aba557a"},
 ]
 
 [package.dependencies]
@@ -5387,13 +5387,13 @@ tqdm = ">=4.57.0"
 typing-extensions = ">=4.0.0"
 
 [package.extras]
-all = ["deepspeed (>=0.8.2)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.14.1)", "jsonargparse[signatures] (>=4.18.0,<4.23.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"]
+all = ["deepspeed (>=0.8.2)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.18.0,<4.25.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"]
 deepspeed = ["deepspeed (>=0.8.2)"]
-dev = ["cloudpickle (>=1.3)", "coverage (==7.2.7)", "deepspeed (>=0.8.2)", "fastapi (<0.100.0)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.14.1)", "jsonargparse[signatures] (>=4.18.0,<4.23.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<=3.20.1)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)", "uvicorn (<0.23.3)"]
-examples = ["gym[classic-control] (>=0.17.0)", "ipython[all] (<8.14.1)", "lightning-utilities (>=0.7.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"]
-extra = ["hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.18.0,<4.23.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
+dev = ["cloudpickle (>=1.3)", "coverage (==7.3.0)", "deepspeed (>=0.8.2)", "fastapi (<0.100.0)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.18.0,<4.25.0)", "lightning-utilities (>=0.7.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<3.21.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)", "uvicorn (<0.23.3)"]
+examples = ["gym[classic-control] (>=0.17.0)", "ipython[all] (<8.15.0)", "lightning-utilities (>=0.7.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.12.0)"]
+extra = ["hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.18.0,<4.25.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
 strategies = ["deepspeed (>=0.8.2)"]
-test = ["cloudpickle (>=1.3)", "coverage (==7.2.7)", "fastapi (<0.100.0)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<=3.20.1)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn (<0.23.3)"]
+test = ["cloudpickle (>=1.3)", "coverage (==7.3.0)", "fastapi (<0.100.0)", "onnx (<1.15.0)", "onnxruntime (<1.16.0)", "pandas (>1.0)", "protobuf (<3.21.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn (<0.23.3)"]
 
 [[package]]
 name = "pytz"
@@ -8247,4 +8247,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8.1,<3.12"
-content-hash = "37247802d2de151ec57da6690281f9dc8b259ef071f6dfd3481bc014aed6fc58"
+content-hash = "8f89cf7d1f572f727d4d7784096cffc37e83cf315f90e64fd1507ce7bafa1823"
diff --git a/pyproject.toml b/pyproject.toml
index ac727e7a4..417f01658 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -130,7 +130,7 @@ tensorflow = "~2.12.0"
 
 ## Dev dependencies from MLflow
 torch = "2.0.0"
-pytorch-lightning = "2.0.7"
+pytorch-lightning = "2.0.9.post0"
 torchmetrics = "1.1.0"
 torchvision = "0.15.1"
 mlflow = "2.6.0"