diff --git a/docs/tutorials/finetune.md b/docs/tutorials/finetune.md
index 17bc5d4c4f3d635c8caf0e6ab5aa5c9136b0fe62..05fc3c0028f88e002cca054016ae5e2ce82bc2a3 100644
--- a/docs/tutorials/finetune.md
+++ b/docs/tutorials/finetune.md
@@ -12,7 +12,7 @@ Take the finetuning process on Cityscapes Dataset as an example, the users need
 
 ## Inherit base configs
 To release the burdun and reduce bugs in writing the whole configs, MMDetection V2.0 support inheriting configs from multiple existing configs. To finetune a Mask RCNN model, the new config needs to inherit
-`_base_/models/mask_rcnn_r50_fpn.py` to build the basic structure of the model. To use the Cityscapes Dataset, the new config can also simply inherit `_base_/datasets/cityscapes_instance.py`. For runtime settins such as training schedules, the new config needs to inherit `_base_/default_runtime.py`. This configs are in the `configs` directory and the users can also choose to write the whole contents rather than use inheritance.
+`_base_/models/mask_rcnn_r50_fpn.py` to build the basic structure of the model. To use the Cityscapes Dataset, the new config can also simply inherit `_base_/datasets/cityscapes_instance.py`. For runtime settings such as training schedules, the new config needs to inherit `_base_/default_runtime.py`. This configs are in the `configs` directory and the users can also choose to write the whole contents rather than use inheritance.
 
 ```python
 _base_ = [