diff --git a/runtimes/mlflow/poetry.lock b/runtimes/mlflow/poetry.lock
index 1fe66788e..908b3cd32 100644
--- a/runtimes/mlflow/poetry.lock
+++ b/runtimes/mlflow/poetry.lock
@@ -3601,12 +3601,13 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "torchmetrics"
-version = "1.4.1"
+version = "1.4.2"
 description = "PyTorch native Metrics"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "torchmetrics-1.4.1-py3-none-any.whl", hash = "sha256:c2e7cd56dd8bdc60ae63d712f3bdce649f23bd174d9180bdd0b746e0230b865a"},
+    {file = "torchmetrics-1.4.2-py3-none-any.whl", hash = "sha256:87b9eca51ff6f93985a0f9db509f646cb45425b016f4d2f383d8c28d40dde5b6"},
+    {file = "torchmetrics-1.4.2.tar.gz", hash = "sha256:7a40cbec85e5645090812b87601696b4adf158294ec8c407ae58a71710938b87"},
 ]
 
 [package.dependencies]
@@ -3616,15 +3617,15 @@ packaging = ">17.1"
 torch = ">=1.10.0"
 
 [package.extras]
-all = ["SciencePlots (>=2.0.0)", "gammatone (>1.0.0)", "ipadic (>=1.0.0)", "matplotlib (>=3.3.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.11.0)", "nltk (>=3.6)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.3.1)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+all = ["SciencePlots (>=2.0.0)", "gammatone (>1.0.0)", "ipadic (>=1.0.0)", "matplotlib (>=3.6.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.11.2)", "nltk (>=3.8.2)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.4.1)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 audio = ["gammatone (>1.0.0)", "pesq (>=0.0.4)", "pystoi (>=0.3.0)", "torchaudio (>=0.10.0)"]
 detection = ["pycocotools (>2.0.0)", "torchvision (>=0.8)"]
-dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (<=0.7.6)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.3.3)", "gammatone (>1.0.0)", "huggingface-hub (<0.25)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.3.0)", "mecab-ko (>=1.0.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.3.2)", "mypy (==1.11.0)", "netcal (>1.0.0)", "nltk (>=3.6)", "numpy (<2.1.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.3.1)", "torch-complex (<0.5.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (>=0.7.6,<0.8.0)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (==1.5.*)", "gammatone (>1.0.0)", "huggingface-hub (<0.25)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.6.0)", "mecab-ko (>=1.0.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.3.2)", "mypy (==1.11.2)", "netcal (>1.0.0)", "nltk (>=3.8.2)", "numpy (<2.2.0)", "pandas (>1.4.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.4.1)", "torch-complex (<0.5.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.42.3)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.8)"]
 multimodal = ["piq (<=0.8.0)", "transformers (>=4.42.3)"]
-text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>=3.6)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"]
-typing = ["mypy (==1.11.0)", "torch (==2.3.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
-visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.3.0)"]
+text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>=3.8.2)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"]
+typing = ["mypy (==1.11.2)", "torch (==2.4.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.6.0)"]
 
 [[package]]
 name = "torchvision"
@@ -4141,4 +4142,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "432551f989a2ee20c4509b3a2028b6165525925cd4264a70e967fd023fae27f7"
+content-hash = "eb952a43c5d98fd0fca35ab9719177e04334caf40586cba1f930175e680b1d8c"
diff --git a/runtimes/mlflow/pyproject.toml b/runtimes/mlflow/pyproject.toml
index b94d507e5..736216e2a 100644
--- a/runtimes/mlflow/pyproject.toml
+++ b/runtimes/mlflow/pyproject.toml
@@ -16,7 +16,7 @@ mlflow = "*"
 mlserver = {path = "../..", develop = true}
 torch = "2.2.1"
 pytorch-lightning = "2.4.0"
-torchmetrics = "1.4.1"
+torchmetrics = "1.4.2"
 torchvision = "0.17.1"
 mlflow = "2.16.2"