update (#6929)

configs/vitdet/README.md

@@ -19,9 +19,9 @@ non-trivial when new architectures, such as Vision Transformer (ViT) models, arr
 | ViT-large | CAE | Cascade RCNN  | 1x | 1 | 55.7 | [config](./cascade_rcnn_vit_large_hrfpn_cae_1x_coco.yml) | [model](https://bj.bcebos.com/v1/paddledet/models/cascade_rcnn_vit_large_hrfpn_cae_1x_coco.pdparams) |
 
 **Notes:**
-- Model is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)`.
-- Base model is trained on 8x32G V100 GPU, large model on 8x80G A100.
-
+- Model is trained on COCO train2017 dataset and evaluated on val2017 results of `mAP(IoU=0.5:0.95)
+- Base model is trained on 8x32G V100 GPU, large model on 8x80G A100
+- The above experiments are based on PaddlePaddle 2.2.2
 
 ## Citations
 ```