yiyanghkust / text-classification updated 3 years ago

finbert-tone

Name: finbert-tone
Author: yiyanghkust

FinBERT is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens. - Corporate Reports 10-K & 10-Q: 2.5B tokens - Earnings Call Transcripts: 1.3B tokens - Analyst Reports: 1.1B tokens

Params

—

Context

512

Downloads 30d

792 K

Likes

220

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

Download history

daily snapshots · 10 days

944 K792 K

Jul 28Jul 31Aug 3Aug 6

Specifications

Architecture: BertForSequenceClassification
Context length: 512
Vocabulary: 30,873
Layers / heads: 12 / 12
First seen on the Hub: 2022-03-02
Training datasets: undisclosed
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

Best open coding models Commercial-use text models Models that fit in 12 GB