Update README.md

README.md

@@ -4,7 +4,7 @@ tags:
 - sentiment analysis
 - financial sentiment analysis
 ---
-Fin-Pythia-1.4B is an instruction-finetuned model for sentiment analysis of financial text. It is built by 1) further training Pythia-1.4B model on financial documents, then 2) instruction fine-tuning on financial tasks. Although, the model is desgined to be used for sentiment analysis, it performs greatly on other tasks such as named entity recognition (check our FinNLP 2023 paper). Fin-Pythia-1.4B's performace on financial sentiment analysis is on par with much larger financial LLMs and exceeds the performace of general models like GPT-4:
+Fin-Pythia-1.4B is an instruction-finetuned model for sentiment analysis of financial text. It is built by 1) further training Pythia-1.4B model on financial documents, then 2) instruction fine-tuning on financial tasks. Although, the model is designed to be used for sentiment analysis, it performs well on other tasks such as named entity recognition (check our FinNLP 2023 paper). Fin-Pythia-1.4B's performance on financial sentiment analysis is on par with much larger financial LLMs and exceeds the performance of general models like GPT-4:
 
 | Models       | FPB    | FIQA-SA | Headlines | NER    |
 |--------------|--------|---------|-----------|--------|
@@ -50,7 +50,7 @@ You could also force the model to generate only the sentiment tokens using the f
 @misc{lc_finnlp2023,
       title={Large Language Model Adaptation for Financial Sentiment Analysis}, 
       author={Rodriguez Inserte Pau and Nakhlé Mariam and Qader Raheel and Caillaut Gaëtan and Liu Jingshu}, 
-      yea ={2023},
+      year={2023},
 }
 ```