Update README.md

README.md

@@ -32,7 +32,8 @@ This official repository unveils the TransNormerLLM3 model along with its open-s
 * Join to dicussion: [discord](https://discord.gg/MYQh6BWN) <<<>>> [wechat group](https://github.com/OpenNLPLab/TransnormerLLM/blob/main/images/contact_me_qr.png)
   
 > --23.12.25-- startup: [WeChat - 预训练启航](https://mp.weixin.qq.com/s/YjUY-uy89WkF75_-rBTuKw)  <<<>>>  [Twitter - Pre-training Commences ](https://twitter.com/opennlplab/status/1739568669502611825) <<<>>> [YouTube Recording](https://t.co/wk7svS4o5r)   <<<>>> [bilibili 回放](https://www.bilibili.com/video/BV11j411J7Dy)  
-> --24.01.02-- first week review: [WeChat - 第一周概览](https://mp.weixin.qq.com/s/zwGnZZI3itNPoxzzXkuU2w) <<<>>>   [Twitter - First Week Review](https://twitter.com/opennlplab/status/1742187694078501038)  
+> --24.01.02-- first week review: [WeChat - 第一周概览](https://mp.weixin.qq.com/s/zwGnZZI3itNPoxzzXkuU2w) <<<>>>   [Twitter - First Week Review](https://twitter.com/opennlplab/status/1742187694078501038)
+> --24.01.09-- second week review: [WeChat - 第二周概览](https://mp.weixin.qq.com/s/6D0qi-0aBier05OKuHfPEA) <<<>>>   [Twitter - Second Week Review](https://twitter.com/opennlplab/status/1744720007299523063)  
 
 
 # Released Weights
@@ -47,7 +48,10 @@ The evaluations of all models are conducted using the official settings and the
 | Model                   | P   | T    | BoolQ | PIQA  | HS    | WG    | ARC-e | ARC-c | OBQA  | MMLU  | C-Eval |
 | ----------------------- | --- | ---- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ----- | ------ |
 | **TransNormerLLM3-15B** | 15  | 0.05 | 62.08 | 72.52 | 55.55 | 57.14 | 62.12 | 31.14 | 32.40 | 27.50 | 26.18  |
-| **TransNormerLLM3-15B** | 15  | 0.10 |       |       |       |       |       |       |       |       |        |
+| **TransNormerLLM3-15B** | 15  | 0.10 | 63.98 | 74.70 | 61.09 | 61.33 | 65.95 | 34.64 | 35.60 | 25.38 | 27.40  |
+| **TransNormerLLM3-15B** | 15  | 0.15 | 60.34 | 75.08 | 63.99 | 62.04 | 64.56 | 34.90 | 35.20 | 22.64 | 26.60  |
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 > **P**: parameter size (billion). **T**: tokens (trillion). **BoolQ**: acc. **PIQA**: acc. **HellaSwag**: acc_norm. **WinoGrande**: acc. **ARC-easy**: acc. **ARC-challenge**: acc_norm. **OpenBookQA**: acc_norm. **MMLU**: 5-shot acc. **C-Eval**: 5-shot acc.