diff --git a/poetry.lock b/poetry.lock
index c6f0b8d63..c8485eab9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -7584,32 +7584,31 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "torchmetrics"
-version = "1.4.0.post0"
+version = "1.5.0"
 description = "PyTorch native Metrics"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "torchmetrics-1.4.0.post0-py3-none-any.whl", hash = "sha256:ab234216598e3fbd8d62ee4541a0e74e7e8fc935d099683af5b8da50f745b3c8"},
-    {file = "torchmetrics-1.4.0.post0.tar.gz", hash = "sha256:ab9bcfe80e65dbabbddb6cecd9be21f1f1d5207bb74051ef95260740f2762358"},
+    {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)", "ipadic (>=1.0.0)", "matplotlib (>=3.3.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.9.0)", "nltk (>=3.6)", "piq (<=0.8.0)", "pretty-errors (>=1.2.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.3.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
-audio = ["pystoi (>=0.3.0)", "torchaudio (>=0.10.0)"]
-debug = ["pretty-errors (>=1.2.0)"]
+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 (<=0.7.5)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.3.3)", "huggingface-hub (<0.23)", "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 (==1.3.0)", "mypy (==1.9.0)", "netcal (>1.0.0)", "nltk (>=3.6)", "numpy (<1.27.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "piq (<=0.8.0)", "pretty-errors (>=1.2.0)", "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 (==2.3.0)", "torch-complex (<=0.4.3)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "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 (>=4.10.0)"]
-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 (==1.9.0)", "torch (==2.3.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
-visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.3.0)"]
+multimodal = ["piq (<=0.8.0)", "transformers (>=4.42.3)"]
+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)"]
 
 [[package]]
 name = "torchvision"
@@ -8694,4 +8693,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "486a982ab6e0cb9be831baa7829fe15cef5ceff4f6df24daca69653bbc542b69"
+content-hash = "fb7bae353ac15b31f4b73b755c9fd42254abc0ca525b50095b0506f23487075d"
diff --git a/pyproject.toml b/pyproject.toml
index 0d5bf39f1..508c73933 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -137,7 +137,7 @@ types-requests = ">=2.28.11.5,<2.32.0.0"
 ## Dev dependencies from MLflow
 torch = "2.2.1"
 pytorch-lightning = "2.4.0"
-torchmetrics = "1.4.0.post0"
+torchmetrics = "1.5.0"
 torchvision = "0.17.1"
 mlflow = "2.17.0"