diff --git a/poetry.lock b/poetry.lock
index 7e4aa55..f74c29c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -889,13 +889,13 @@ files = [
 
 [[package]]
 name = "pytorch-lightning"
-version = "2.4.0"
+version = "2.5.0.post0"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "pytorch-lightning-2.4.0.tar.gz", hash = "sha256:6aa897fd9d6dfa7b7b49f37c2f04e13592861831d08deae584dfda423fdb71c8"},
-    {file = "pytorch_lightning-2.4.0-py3-none-any.whl", hash = "sha256:9ac7935229ac022ef06994c928217ed37f525ac6700f7d4fc57009624570e655"},
+    {file = "pytorch_lightning-2.5.0.post0-py3-none-any.whl", hash = "sha256:c86bf4fded58b386f312f75337696a9b2d57077b858b3b9524400a03a0179b3a"},
+    {file = "pytorch_lightning-2.5.0.post0.tar.gz", hash = "sha256:347235bf8573b4ebcf507a0dd755fcb9ce58c420c77220a9756a6edca0418532"},
 ]
 
 [package.dependencies]
@@ -909,11 +909,11 @@ tqdm = ">=4.57.0"
 typing-extensions = ">=4.4.0"
 
 [package.extras]
-all = ["bitsandbytes (>=0.42.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
+all = ["bitsandbytes (>=0.42.0)", "bitsandbytes (>=0.44.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
 deepspeed = ["deepspeed (>=0.8.2,<=0.9.3)"]
-dev = ["bitsandbytes (>=0.42.0)", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "numpy (>=1.17.2)", "omegaconf (>=2.2.3)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<2.32.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)", "uvicorn"]
+dev = ["bitsandbytes (>=0.42.0)", "bitsandbytes (>=0.44.0)", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "numpy (>=1.17.2)", "omegaconf (>=2.2.3)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<2.32.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)", "uvicorn"]
 examples = ["ipython[all] (<8.15.0)", "lightning-utilities (>=0.8.0)", "requests (<2.32.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
-extra = ["bitsandbytes (>=0.42.0)", "hydra-core (>=1.2.0)", "jsonargparse[signatures] (>=4.27.7)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
+extra = ["bitsandbytes (>=0.42.0)", "bitsandbytes (>=0.44.0)", "hydra-core (>=1.2.0)", "jsonargparse[signatures] (>=4.27.7)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
 strategies = ["deepspeed (>=0.8.2,<=0.9.3)"]
 test = ["cloudpickle (>=1.3)", "coverage (==7.3.1)", "fastapi", "numpy (>=1.17.2)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"]