diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index f4c44e5..f67fdd3 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,19 +1,19 @@
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.2.0
+    rev: v4.5.0
     hooks:
     -   id: trailing-whitespace
     -   id: end-of-file-fixer
 
   - repo: https://github.com/asottile/pyupgrade
-    rev: v3.3.1
+    rev: v3.15.2
     hooks:
       - id: pyupgrade
         args: [--py37-plus]
 
   - repo: https://github.com/omnilib/ufmt
-    rev: v2.0.1
+    rev: v2.5.1
     hooks:
       - id: ufmt
         additional_dependencies:
@@ -21,6 +21,6 @@ repos:
           - usort == 1.1.0b2
 
   - repo: https://github.com/pycqa/flake8
-    rev: 4.0.1
+    rev: 7.0.0
     hooks:
       - id: flake8
diff --git a/dmlcloud/pipeline.py b/dmlcloud/pipeline.py
index 7f28e44..43d500e 100644
--- a/dmlcloud/pipeline.py
+++ b/dmlcloud/pipeline.py
@@ -70,7 +70,7 @@ def register_model(
 
         if verbose:
             msg = f'Model "{name}":\n'
-            msg += f'    - Parameters: {sum(p.numel() for p in model.parameters())/1e6:.1f} kk\n'
+            msg += f'    - Parameters: {sum(p.numel() for p in model.parameters()) / 1e6:.1f} kk\n'
             msg += f'    - DDP: {use_ddp}\n'
             msg += f'    - {model}'
             self.logger.info(msg)
@@ -231,7 +231,7 @@ def _pre_run(self):
             self._resume_run()
 
         diagnostics = general_diagnostics()
-        diagnostics += '\n* CONFIG:\n' 
+        diagnostics += '\n* CONFIG:\n'
         diagnostics += '\n'.join(f'    {line}' for line in OmegaConf.to_yaml(self.config, resolve=True).splitlines())
         self.logger.info(diagnostics)
 
diff --git a/dmlcloud/util/data.py b/dmlcloud/util/data.py
index 0dee40a..772250a 100644
--- a/dmlcloud/util/data.py
+++ b/dmlcloud/util/data.py
@@ -47,7 +47,7 @@ def sharded_xr_dataset(
         start = chunk_idx * chunk_size
         end = start + chunk_size
         chunk = ds.isel({dim: slice(start, end)})
-        
+
         if load:
             kwargs = load_kwargs or {}
             chunk.load(**kwargs)
@@ -123,7 +123,7 @@ def interleave_batches(
     """
     if num_batches < 1:
         raise ValueError('num_batches must be greater than 0')
-    
+
     if num_batches == 1:
         yield from iterable