finbert-tone
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
1.0 M
Likes
223
Download history
daily snapshots · 55 days
▲ 330 K in the last 30 days (46.9%)
1.0 M722 K
Aug 22Sep 1Sep 11Sep 20
1.0 M668 K
Jul 28Aug 15Sep 2Sep 20
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 any text-classification model