diff --git a/configs/selfsup/maskfeat/README.md b/configs/selfsup/maskfeat/README.md
index 4ffeb9b78..b40f1bb7d 100644
--- a/configs/selfsup/maskfeat/README.md
+++ b/configs/selfsup/maskfeat/README.md
@@ -17,9 +17,9 @@ We present Masked Feature Prediction (MaskFeat) for self-supervised pre-training
 Here, we report the results of the model, which is pre-trained on ImageNet-1k
 for 400 epochs, the details are below:
 
-| Backbone | Pre-train epoch | Fine-tuning Top-1 |                                                            Pre-train Config                                                            |                                                                     Fine-tuning Config                                                                      |                                                                                                                      Download                                                                                                                       |
-| :------: | :-------------: | :---------------: | :------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| ViT-B/16 |       300       |       83.5        | [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/maskfeat/maskfeat_vit-base-p16_8xb256-coslr-300e_in1k.py) | [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/benchmarks/classification/imagenet/maskfeat_vit-base-p16_ft-8xb512-coslr-100e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/mae/mae_vit-base-p16_8xb512-coslr-400e_in1k-224_20220223-85be947b.pth) \| [log](https://download.openmmlab.com/mmselfsup/mae/mae_vit-base-p16_8xb512-coslr-300e_in1k-224_20220210_140925.log.json) |
+| Backbone | Pre-train epoch | Fine-tuning Top-1 |                                                            Pre-train Config                                                            |                                                                     Fine-tuning Config                                                                      |                                                                                                                            Download                                                                                                                             |
+| :------: | :-------------: | :---------------: | :------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| ViT-B/16 |       300       |       83.5        | [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/maskfeat/maskfeat_vit-base-p16_8xb256-coslr-300e_in1k.py) | [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/benchmarks/classification/imagenet/maskfeat_vit-base-p16_ft-8xb512-coslr-100e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/maskfeat/maskfeat_vit-base-p16_8xb256-coslr-300e_in1k_20220913-591d4c4b.pth) \| [log](https://download.openmmlab.com/mmselfsup/maskfeat/maskfeat_vit-base-p16_8xb256-coslr-300e_in1k_20220829_225552.log.json) |
 
 ## Citation