metadata
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 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 and our related blog post on Medium.
The model will give softmax outputs for three labels: positive, negative or neutral.