diff --git a/configs/yolox/README.md b/configs/yolox/README.md
index d54bcf8c..e646dd20 100644
--- a/configs/yolox/README.md
+++ b/configs/yolox/README.md
@@ -27,7 +27,7 @@ YOLOX-l model structure
 |  YOLOX-s   | 640  |   8xb32    | Yes |    Yes     |   9.8    | 41.9 (+1.2) |  [config](./yolox_s_fast_8xb32-300e-rtmdet-hyp_coco.py)   |       [model](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_s_fast_8xb32-300e-rtmdet-hyp_coco/yolox_s_fast_8xb32-300e-rtmdet-hyp_coco_20230210_134645-3a8dfbd7.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_s_fast_8xb32-300e-rtmdet-hyp_coco/yolox_s_fast_8xb32-300e-rtmdet-hyp_coco_20230210_134645.log.json)       |
 |  YOLOX-m   | 640  |    8xb8    | Yes |     No     |   4.9    |    46.9     |        [config](./yolox_m_fast_8xb8-300e_coco.py)         |                               [model](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_m_fast_8xb8-300e_coco/yolox_m_fast_8xb8-300e_coco_20230213_160218-a71a6b25.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_m_fast_8xb8-300e_coco/yolox_m_fast_8xb8-300e_coco_20230213_160218.log.json)                               |
 |  YOLOX-m   | 640  |   8xb32    | Yes |    Yes     |   17.6   | 47.5 (+0.6) |  [config](./yolox_m_fast_8xb32-300e-rtmdet-hyp_coco.py)   |       [model](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_m_fast_8xb32-300e-rtmdet-hyp_coco/yolox_m_fast_8xb32-300e-rtmdet-hyp_coco_20230210_144328-e657e182.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_m_fast_8xb32-300e-rtmdet-hyp_coco/yolox_m_fast_8xb32-300e-rtmdet-hyp_coco_20230210_144328.log.json)       |
-|  YOLOX-l   | 640  |    8xb8    | Yes |     No     |   8.0    |    50.1     |        [config](./yolox_l_fast_8xb8-300e_coco.py)         |                              [model](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_l_fast__8xb8-300e_coco/yolox_l_fast_8xb8-300e_coco_20230213_160715-c731eb1c.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_l_fast_8xb8-300e_coco/yolox_l_fast_8xb8-300e_coco_20230213_160715.log.json)                               |
+|  YOLOX-l   | 640  |    8xb8    | Yes |     No     |   8.0    |    50.1     |        [config](./yolox_l_fast_8xb8-300e_coco.py)         |                               [model](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_l_fast_8xb8-300e_coco/yolox_l_fast_8xb8-300e_coco_20230213_160715-c731eb1c.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_l_fast_8xb8-300e_coco/yolox_l_fast_8xb8-300e_coco_20230213_160715.log.json)                               |
 |  YOLOX-x   | 640  |    8xb8    | Yes |     No     |   9.8    |    51.4     |        [config](./yolox_x_fast_8xb8-300e_coco.py)         |                               [model](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_x_fast_8xb8-300e_coco/yolox_x_fast_8xb8-300e_coco_20230215_133950-1d509fab.pth) \| [log](https://download.openmmlab.com/mmyolo/v0/yolox/yolox_x_fast_8xb8-300e_coco/yolox_x_fast_8xb8-300e_coco_20230215_133950.log.json)                               |
 
 YOLOX uses a default training configuration of `8xbs8` which results in a long training time, we expect it to use `8xbs32` to speed up the training and not cause a decrease in mAP. We modified `train_batch_size_per_gpu` from 8 to 32, `batch_augments_interval` from 10 to 1 and `base_lr` from 0.01 to 0.04 under YOLOX-s default configuration based on the linear scaling rule, which resulted in mAP degradation. Finally, I found that using RTMDet's training hyperparameter can improve performance in YOLOX Tiny/S/M, which also validates the superiority of RTMDet's training hyperparameter.