add performance metrics, update names

README.md

@@ -29,6 +29,13 @@ The training data for SEA-LION encompasses 980B tokens.
 - **Languages:** English, Chinese, Indonesian, Malay, Thai, Vietnamese, Filipino, Tamil, Burmese, Khmer, Lao
 - **License:** MIT License
 
+### Performance Benchmarks
+
+SEA-LION has an average performance on general tasks in English (as measured by Hugging Face's LLM Leaderboard):
+
+| Model | ARC | HellaSwag | MMLU | TruthfulQA | Average |
+|-------------|:-----:|:---------:|:-----:|:----------:|:-------:|
+| SEA-LION 3B | 36.26 | 64.59 | 24.07 | 36.46 | 40.35 |
 
 ## Training Details
 
@@ -109,7 +116,7 @@ The tokenizer type is Byte-Pair Encoding (BPE).
 Lam Wen Zhi Clarence<br>
 Leong Wei Qi<br>
 Li Yier<br>
-Liu Darius<br>
+Liu Bing Jie Darius<br>
 Lovenia Holy<br>
 Montalan Jann Railey<br>
 Ng Boon Cheong Raymond<br>
@@ -121,7 +128,7 @@ Susanto Yosephine<br>
 Tai Ngee Chia<br>
 Tan Choon Meng<br>
 Teo Jin Howe<br>
-Teo Leslie<br>
+Teo Eng Sipp Leslie<br>
 Teo Wei Yi<br>
 Tjhi William<br>
 Yeo Yeow Tong<br>