Update README.md

README.md

@@ -1,19 +1,23 @@
----
-license: apache-2.0
-datasets:
-- takala/financial_phrasebank
-language:
-- en
-metrics:
-- f1
-base_model:
-- answerdotai/ModernBERT-large
-new_version: ProsusAI/finbert
-pipeline_tag: text-classification
-library_name: transformers
-tags:
-- finance
-- sentiment
-- financial-sentiment-analysis
-- sentiment-analysis
----
+---
+license: apache-2.0
+datasets:
+- takala/financial_phrasebank
+language:
+- en
+metrics:
+- f1
+base_model:
+- answerdotai/ModernBERT-large
+new_version: ProsusAI/finbert
+pipeline_tag: text-classification
+library_name: transformers
+tags:
+- finance
+- sentiment
+- financial-sentiment-analysis
+- sentiment-analysis
+---
+
+Modern-FinBERT-large is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the ModernBERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (2014) is used for fine-tuning. For more details, please see the paper [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063) and our related [blog post](https://medium.com/prosus-ai-tech-blog/finbert-financial-sentiment-analysis-with-bert-b277a3607101) on Medium.
+
+The model will give softmax outputs for three labels: positive, negative or neutral.