diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 6b44b72bfe..bc3ce18a45 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,6 @@
 repos:
   - repo: https://gitlab.com/pycqa/flake8.git
-    rev: 3.8.3
+    rev: 5.0.4
     hooks:
       - id: flake8
   - repo: https://github.com/PyCQA/isort
@@ -8,11 +8,11 @@ repos:
     hooks:
       - id: isort
   - repo: https://github.com/pre-commit/mirrors-yapf
-    rev: v0.30.0
+    rev: v0.32.0
     hooks:
       - id: yapf
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.1.0
+    rev: v4.3.0
     hooks:
       - id: trailing-whitespace
       - id: check-yaml
@@ -34,7 +34,7 @@ repos:
           - mdformat_frontmatter
           - linkify-it-py
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.1.0
+    rev: v2.2.1
     hooks:
       - id: codespell
   - repo: https://github.com/myint/docformatter
@@ -53,7 +53,7 @@ repos:
         files: ^configs/.*\.md$
         require_serial: true
   - repo: https://github.com/asottile/pyupgrade
-    rev: v2.32.1
+    rev: v3.0.0
     hooks:
       - id: pyupgrade
         args: ["--py36-plus"]
diff --git a/docs/en/get_started.md b/docs/en/get_started.md
index d81aea2395..d7baac2c43 100644
--- a/docs/en/get_started.md
+++ b/docs/en/get_started.md
@@ -43,7 +43,7 @@ We recommend that users follow our best practices to install MMSegmentation. How
 ```shell
 pip install -U openmim
 mim install 'mmcv>=2.0.0rc1'
-mim install mmmenigne
+mim install mmenigne
 ```
 
 **Step 1.** Install MMSegmentation.
diff --git a/docs/en/user_guides/visualization.md b/docs/en/user_guides/visualization.md
index c0a9c86e8a..e7c3359cc9 100644
--- a/docs/en/user_guides/visualization.md
+++ b/docs/en/user_guides/visualization.md
@@ -95,7 +95,7 @@ wget https://user-images.githubusercontent.com/24582831/189833109-eddad58f-f777-
 wget https://user-images.githubusercontent.com/24582831/189833143-15f60f8a-4d1e-4cbb-a6e7-5e2233869fac.png --output-document aachen_000000_000019_gtFine_labelTrainIds.png
 ```
 
-Then you can find their local path and use the scrips below to visualize:
+Then you can find their local path and use the scripts below to visualize:
 
 ```python
 import mmcv
diff --git a/mmseg/models/backbones/vit.py b/mmseg/models/backbones/vit.py
index 05948abe7c..3c96f65493 100644
--- a/mmseg/models/backbones/vit.py
+++ b/mmseg/models/backbones/vit.py
@@ -335,7 +335,7 @@ def init_weights(self):
                     constant_init(m, val=1.0, bias=0.)
 
     def _pos_embeding(self, patched_img, hw_shape, pos_embed):
-        """Positiong embeding method.
+        """Positioning embeding method.
 
         Resize the pos_embed, if the input image size doesn't match
             the training size.
diff --git a/mmseg/models/losses/focal_loss.py b/mmseg/models/losses/focal_loss.py
index 299adc0545..104d6602c8 100644
--- a/mmseg/models/losses/focal_loss.py
+++ b/mmseg/models/losses/focal_loss.py
@@ -78,7 +78,7 @@ def sigmoid_focal_loss(pred,
                        valid_mask=None,
                        reduction='mean',
                        avg_factor=None):
-    r"""A warpper of cuda version `Focal Loss
+    r"""A wrapper of cuda version `Focal Loss
     <https://arxiv.org/abs/1708.02002>`_.
     Args:
         pred (torch.Tensor): The prediction with shape (N, C), C is the number
diff --git a/setup.cfg b/setup.cfg
index 23cb09e698..dc5ea07111 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -16,4 +16,4 @@ default_section = THIRDPARTY
 skip = *.po,*.ts,*.ipynb
 count =
 quiet-level = 3
-ignore-words-list = formating,sur,hist,dota
+ignore-words-list = formating,sur,hist,dota,warmup