Update README.md

README.md

@@ -6,7 +6,7 @@ tags:
 widget:
 - text: "Stocks rallied and the British pound [MASK]."
 ---
-##FLANG
+#FLANG
 FLANG is a set of large language models for Financial LANGuage tasks. These models use domain specific pre-training with preferential masking to build more robust representations for the domain. The models in the set are:\
 [FLANG-BERT](https://huggingface.co/SALT-NLP/FLANG-BERT)\
 [FLANG-SpanBERT](https://huggingface.co/SALT-NLP/FLANG-SpanBERT)\
@@ -14,10 +14,10 @@ FLANG is a set of large language models for Financial LANGuage tasks. These mode
 [FLANG-Roberta](https://huggingface.co/SALT-NLP/FLANG-Roberta)\
 [Flang-ELECTRA](https://huggingface.co/SALT-NLP/FLANG-ELECTRA)
 
-##FLANG-BERT
+#FLANG-BERT
 FLANG-BERT is a pre-trained language model which uses financial keywords and phrases for preferential masking of domain specific terms. It is built by further training the BERT language model in the finance domain with improved performance over previous models due to the use of domain knowledge and vocabulary.
 
-##Citation
+#Citation
 Please cite the model with the following citation:\
 @INPROCEEDINGS{shah-etal-2022-flang,\
     author = {Shah, Raj Sanjay  and
@@ -36,7 +36,7 @@ Please cite the model with the following citation:\
     publisher = {Association for Computational Linguistics}\
 }
 
-##Contact information
+#Contact information
 
 Please contact Raj Sanjay Shah (rajsanjayshah[at]gatech[dot]edu) or Sudheer Chava (schava6[at]gatech[dot]edu) or Diyi Yang (diyiy[at]stanford[dot]edu) about any FLANG-BERT related issues and questions.