ProsusAI / text-classification updated 3 years ago

finbert

FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT 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 Langua...

Params
Context
512
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Specifications

Architecture
BertForSequenceClassification
Context length
512
Vocabulary
30,522
Layers / heads
12 / 12
First seen on the Hub
2022-03-02
Training datasets
undisclosed
Added to our catalog
2026-07-28