Update README.md

README.md

@@ -3,6 +3,13 @@ license: mit
 language:
 - my
 pipeline_tag: text-generation
+metrics:
+- code_eval
+library_name: transformers
+tags:
+- burmese
+- gpt2
+- pre-trained
 ---
 
 The Simbolo's Myanmar SAR GPT symbol is trained on a dataset of 1 million Burmese data and pre-trained using the GPT-2 architecture. Its purpose is to serve as a foundational pre-trained model for the Burmese language, facilitating fine-tuning for specific applications of different tasks such as creative writing, chatbot, machine translation etc.
@@ -33,6 +40,4 @@ We have yet to thoroughly investigate the potential bias inherent in this model.
 
 ### References and Citations
 1. Jiang, Shengyi & Huang, Xiuwen & Cai, Xiaonan & Lin, Nankai. (2021). Pre-trained Models and Evaluation Data for the Myanmar Language. 10.1007/978-3-030-92310-5_52. 
-2. Lin, N., Fu, Y., Chen, C., Yang, Z., & Jiang, S. (2021). LaoPLM: Pre-trained Language Models for Lao. ArXiv. /abs/2110.05896
-
-
+2. Lin, N., Fu, Y., Chen, C., Yang, Z., & Jiang, S. (2021). LaoPLM: Pre-trained Language Models for Lao. ArXiv. /abs/2110.05896