From 3b6a5e25938b592dbca857d3e473ff2ccfc99c03 Mon Sep 17 00:00:00 2001
From: Sze-qq <68757353+Sze-qq@users.noreply.github.com>
Date: Fri, 26 Aug 2022 15:09:13 +0800
Subject: [PATCH] update OPT experiment result for 8 GPUs (#1503)

---
 README-zh-Hans.md | 4 ++--
 README.md         | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/README-zh-Hans.md b/README-zh-Hans.md
index c3475004e..f3c40289f 100644
--- a/README-zh-Hans.md
+++ b/README-zh-Hans.md
@@ -140,10 +140,10 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 - [PaLM-colossalai](https://github.com/hpcaitech/PaLM-colossalai): 可扩展的谷歌 Pathways Language Model ([PaLM](https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html)) 实现。
 
 ### OPT
-<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT.png" width=800/>
+<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT_update.png" width=800/>
 
 - [Open Pretrained Transformer (OPT)](https://github.com/facebookresearch/metaseq), 由Meta发布的1750亿语言模型，由于完全公开了预训练参数权重，因此促进了下游任务和应用部署的发展。
-- 加速40%，仅用几行代码以低成本微调OPT。[[样例]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt)
+- 加速45%，仅用几行代码以低成本微调OPT。[[样例]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt)
 
 请访问我们的 [文档](https://www.colossalai.org/) 和 [例程](https://github.com/hpcaitech/ColossalAI-Examples) 以了解详情。
 
diff --git a/README.md b/README.md
index 58ec5818a..7ba947073 100644
--- a/README.md
+++ b/README.md
@@ -145,10 +145,10 @@ distributed training and inference in a few lines.
 - [PaLM-colossalai](https://github.com/hpcaitech/PaLM-colossalai): Scalable implementation of Google's Pathways Language Model ([PaLM](https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html)).
 
 ### OPT
-<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT.png" width=800/>
+<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/OPT_update.png" width=800/>
 
 - [Open Pretrained Transformer (OPT)](https://github.com/facebookresearch/metaseq), a 175-Billion parameter AI language model released by Meta, which stimulates AI programmers to perform various downstream tasks and application deployments because public pretrained model weights.
-- 40% speedup fine-tuning OPT at low cost in lines. [[Example]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt)
+- 45% speedup fine-tuning OPT at low cost in lines. [[Example]](https://github.com/hpcaitech/ColossalAI-Examples/tree/main/language/opt)
 
 Please visit our [documentation](https://www.colossalai.org/) and [examples](https://github.com/hpcaitech/ColossalAI-Examples) for more details.