--- 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.