diff --git a/README.md b/README.md
index 6b9e6a8..ecf8671 100644
--- a/README.md
+++ b/README.md
@@ -66,6 +66,8 @@ Below is a display of the model's multi-turn dialogue ability regarding code:
 - The peft library is introduced to **support training such as lora**.
 
 - The following table compares the training speed of Open-Llama and the original Llama, and the performance data of Llama is quoted from the original Llama paper.
+
+
 |                | DeepSpeed Stage | Offload | Activation Checkpoint | Total Token | GPU hours | Speed token/s/gpu | Batch Size | CPU Memory |
 |----------------|-----------------|---------|-----------------------|-------------|-----------|-------------------|------------|------------|
 | Open-Llama 7B  | 1               | False   | False                 | 173.7B      | 13412     | 3587              | 2          | 94G        |
diff --git a/README_zh.md b/README_zh.md
index 0cd1616..42e218c 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -2,7 +2,7 @@
  * @Author: LiangSong(sl12160010@gmail.com)
  * @Date: 2023-03-10 21:18:35
  * @LastEditors: LiangSong(sl12160010@gmail.com)
- * @LastEditTime: 2023-05-08 22:28:40
+ * @LastEditTime: 2023-05-08 22:29:53
  * @FilePath: /Open-Llama/README_zh.md
  * @Description: 
  * 
@@ -67,6 +67,8 @@ print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
 - 引入peft库**支持lora**等训练。
 
 - 下表对比了Open-Llama和Llama原文的训练速度，Llama性能数据引自Llama原文。
+
+
 |                | DeepSpeed Stage | Offload | Activation Checkpoint | Total Token | GPU hours | Speed token/s/gpu | Batch Size | CPU Memory |
 |----------------|-----------------|---------|-----------------------|-------------|-----------|-------------------|------------|------------|
 | Open-Llama 7B  | 1               | False   | False                 | 173.7B      | 13412     | 3587              | 2          | 94G        |