update GPT-2 experiment result (#666)

README-zh-Hans.md

@@ -86,9 +86,10 @@ Colossal-AI为您提供了一系列并行训练组件。我们的目标是让您
 
 - 降低11倍GPU显存占用，或超线性扩展（张量并行）
 
-<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/Colossal-AI%20with%20ZeRO.jpg" width=393>
+<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/(updated)GPT-2.png" width=800>
 
-- 能训练接近11倍大小的模型（ZeRO） 
+- 用相同的硬件条件训练24倍大的模型
+- 超3倍的吞吐量 
 
 ### BERT
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BERT.png" width=800/>

README.md

@@ -87,9 +87,10 @@ distributed training in a few lines.
 
 - 11x lower GPU memory consumption, and superlinear scaling efficiency with Tensor Parallelism
 
-<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/Colossal-AI%20with%20ZeRO.jpg" width=393>
+<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/(updated)GPT-2.png" width=800>
 
-- 10.7x larger model size on the same hardware
+- 24x larger model size on the same hardware
+- over 3x acceleration
 ### BERT
 <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BERT.png" width=800/>