diff --git a/runtimes/mlflow/poetry.lock b/runtimes/mlflow/poetry.lock
index 933acce0e..64e8e94ad 100644
--- a/runtimes/mlflow/poetry.lock
+++ b/runtimes/mlflow/poetry.lock
@@ -3680,29 +3680,29 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "torchmetrics"
-version = "1.4.3"
+version = "1.5.0"
 description = "PyTorch native Metrics"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "torchmetrics-1.4.3-py3-none-any.whl", hash = "sha256:76e67490231acef7f70cf36ab129df72fb2b0256dada7051001ab3b9f8699bf4"},
-    {file = "torchmetrics-1.4.3.tar.gz", hash = "sha256:5554a19167e91f543afe82ff58a01059c8eec854359ad22896449c2c8fb0ad89"},
+    {file = "torchmetrics-1.5.0-py3-none-any.whl", hash = "sha256:a65628e0ea04c98bff84f2152c5a48416cbb8dc41c6e4ba44204cfc6ace2a30f"},
+    {file = "torchmetrics-1.5.0.tar.gz", hash = "sha256:c18e68bab4104ad7d2285af601ddc6dc04f9f3b7cafaa8ad13fa1dcc539e33b6"},
 ]
 
 [package.dependencies]
 lightning-utilities = ">=0.8.0"
-numpy = ">1.20.0"
+numpy = ">1.20.0,<2.0"
 packaging = ">17.1"
 torch = ">=1.10.0"
 
 [package.extras]
-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)"]
+all = ["SciencePlots (>=2.0.0)", "gammatone (>=1.0.0)", "ipadic (>=1.0.0)", "librosa (>=0.9.0)", "matplotlib (>=3.6.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.11.2)", "nltk (>3.8.1)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "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 (<4.67.0)", "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)", "librosa (>=0.9.0)", "onnxruntime (>=1.12.0)", "pesq (>=0.0.4)", "pystoi (>=0.4.0)", "requests (>=2.19.0)", "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)", "dython (>=0.7.8,<0.8.0)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (==1.5.*)", "gammatone (>1.0.0)", "huggingface-hub (<0.26)", "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"]
+dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (==0.7.6)", "dython (>=0.7.8,<0.8.0)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.6.3)", "gammatone (>=1.0.0)", "huggingface-hub (<0.26)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "librosa (>=0.9.0)", "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 (>3.8.1)", "numpy (<2.2.0)", "onnxruntime (>=1.12.0)", "pandas (>1.4.0)", "pesq (>=0.0.4)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.4.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "requests (>=2.19.0)", "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 (<4.67.0)", "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 (>=3.8.2)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"]
+text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>3.8.1)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (<4.67.0)", "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)"]
 
@@ -4221,4 +4221,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "5989d93443c94e317a8fdd5486107fe229ce258243ddb10f7a93424881c895d1"
+content-hash = "1db6b438668d46cc7afec3664df9fd7a5f6b90945b59764df5a06e2d95e07ddb"
diff --git a/runtimes/mlflow/pyproject.toml b/runtimes/mlflow/pyproject.toml
index 73dde97b2..2a0992a56 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 = "1.4.3"
+torchmetrics = "1.5.0"
 torchvision = "0.17.1"
 mlflow = "2.17.0"