From 8c85535db32783ad34b5d1f18d454227da991252 Mon Sep 17 00:00:00 2001
From: LiangSong <sl12160010@gmail.com>
Date: Fri, 28 Apr 2023 19:49:51 +0800
Subject: [PATCH] update readme

---
 README.md    | 7 ++++++-
 README_en.md | 8 +++++++-
 2 files changed, 13 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index c91dec5..c549624 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
  * @Author: LiangSong(sl12160010@gmail.com)
  * @Date: 2023-03-10 21:18:35
  * @LastEditors: LiangSong(sl12160010@gmail.com)
- * @LastEditTime: 2023-04-16 23:49:06
+ * @LastEditTime: 2023-04-28 19:49:29
  * @FilePath: /Open-Llama/README.md
  * @Description: 
  * 
@@ -37,6 +37,7 @@ pip install git+https://github.com/s-JoL/transformers.git@dev
 ![image4](assets/multiturn_chat.jpeg)
 
 ## **更新**
+[2023.4.28] Release v2.0
 
 本次更新主要包含以下几个方面，相对于v1版本提升有效训练速度50%，其中pad从30%减少至5%，训练速度从3200token/s提升至3600token/s。0.95 * 3600/(0.7 * 3200)=1.527
 1. 使用HuggingFace的datasets库进行数据读取，具体流程如下
@@ -49,6 +50,10 @@ pip install git+https://github.com/s-JoL/transformers.git@dev
 4. 提供更方便的配置，可见configs/pretrain_config.yaml
 5. 提供基于其他预训练模型补充词表，继续预训练功能
 
+[2023.4.16] Release v1.0
+
+提供基础的预训练和指令微调代码，训练速度达到Llama原文速度。预训练和指令微调后的模型已经开源在HuggingFace。
+
 v1版代码可见https://github.com/s-JoL/Open-Llama/tree/v1.0
 
 ## **特性**
diff --git a/README_en.md b/README_en.md
index dfa2914..10da777 100644
--- a/README_en.md
+++ b/README_en.md
@@ -2,7 +2,7 @@
  * @Author: LiangSong(sl12160010@gmail.com)
  * @Date: 2023-03-10 21:18:35
  * @LastEditors: LiangSong(sl12160010@gmail.com)
- * @LastEditTime: 2023-04-16 23:49:28
+ * @LastEditTime: 2023-04-28 19:49:24
  * @FilePath: /Open-Llama/README_en.md
  * @Description: 
  * 
@@ -38,6 +38,8 @@ Below is a display of the model's multi-turn dialogue ability regarding code:
 
 ## **Updates**
 
+[2023.4.28] Release v2.0
+
 This update mainly includes the following aspects, increasing the effective training speed by 50% compared to the v1 version, reducing padding from 30% to 5%, and improving training speed from 3200 tokens/s to 3600 tokens/s. 0.95 * 3600 / (0.7 * 3200) = 1.527
 
 1. Use HuggingFace's datasets library for data reading, with the process as follows:
@@ -50,6 +52,10 @@ This update mainly includes the following aspects, increasing the effective trai
 4. Provide more convenient configuration, see configs/pretrain_config.yaml
 5. Provide functionality to continue pre-training based on other pre-trained models and supplementing vocabulary
 
+[2023.4.16] Release v1.0
+
+Basic pre-training and instruction fine-tuning codes are provided, with a training speed comparable to that of the original Llama. The pre-trained and fine-tuned models are already open-sourced on HuggingFace.
+
 v1 version code can be seen at https://github.com/s-JoL/Open-Llama/tree/v1.0
 
 ## **Features**