Update README.md

README.md

@@ -115,7 +115,6 @@ We use GPT-4 as an evaluator to rate the comparison between our models versus Ch
 <img src="seallm_vs_chatgpt_by_cat_sea.png" width="800" />
 
 
-
 ### M3Exam - World Knowledge in Regional Languages
 
 
@@ -141,10 +140,9 @@ On the 5-shot [MMLU](https://arxiv.org/abs/2009.03300), our SeaLLM models not on
 
 | MMLU (Acc) | STEM | Humanities | Social | Others | Average
 |-----------| ------- | ------- |  ------- | ------- | ------- | 
-| Llama-2-13b             | 44.10 | 52.80 | 62.60 | 61.10 | 54.80
-| Llama-2-13b-chat        | 43.70 | 49.30 | 62.60 | 60.10 | 53.50
-| SeaLLM-13bChat/SFT/v2   | 43.67 | 52.09 | 62.69 | 61.20 | 54.70
-| SeaLLM-13bChat/SFT/v3   | 43.30 | 52.80 | 63.10 | 61.20 | 55.00
+| Llama-2-13b       | 44.1 | 52.8 | 62.6 | 61.1 | 54.8
+| Llama-2-13b-chat  | 43.7 | 49.3 | 62.6 | 60.1 | 53.5
+| SeaLLM-13b-chat   | 43.4 | 53.0 | 63.3 | 61.4 | 55.1
 
 
 ### NLP tasks