ahmedrachid / text-classification updated 4 years ago

FinancialBERT-Sentiment-Analysis

Name: FinancialBERT-Sentiment-Analysis
Author: ahmedrachid

FinancialBERT is a BERT model pre-trained on a large corpora of financial texts. The purpose is to enhance financial NLP research and practice in financial domain, hoping that financial practitioners and researchers can benefit from this model without the necessity of the significant computational resources required to train the model.

Params

—

Context

512

Downloads 30d

328 K

Likes

Licence: unknown Not gated 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

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Specifications

Architecture: BertForSequenceClassification
Context length: 512
Vocabulary: 30,873
Layers / heads: 12 / 12
First seen on the Hub: 2022-03-02
Training datasets: financial_phrasebank
Added to our catalog: 2026-07-28

Compare with

bge-reranker-v2-m3 19.2 M finbert 5.6 M bge-reranker-base 4.6 M Prompt-Guard-86M 4.5 M distilbert-base-uncased-finetuned-sst-2-english 3.7 M koelectra-small-v3-nsmc 2.9 M

Appears in

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