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
557 K
Likes
233
Download history
daily snapshots · 106 days
▲ 699 K in the last 30 days (55.7%)
1.3 M557 K
Oct 12Oct 22Nov 1Nov 10
1.3 M557 K
Aug 13Sep 12Oct 12Nov 10
1.3 M557 K
Jul 28Sep 1Oct 6Nov 10
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