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roberta-large-dapt-fomc-hawkish-dovish
LorenzoAleCon29/roberta-large-dapt-fomc-hawkish-dovish
roberta-large-dapt-fomc-hawkish-dovish is a text classification model from LorenzoAleCon29. Use it when you need a label for a piece of text. It is set up for transformers.
Fine-tuned from LorenzoAleCon29/roberta-large-ECB-dapt on annotated ECB communication (press conference statements, speeches and monetary-policy statements). Labels: dovish, neutral, hawkish.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 3, 2026
- Updated
- Aug 13, 2026
- SHA
- bddf9a57
Try a prompt
Base models
Model card
From the Hugging Face model README
roberta-large-dapt - ECB hawkish/dovish/neutral classifier
Fine-tuned from LorenzoAleCon29/roberta-large-ECB-dapt on annotated ECB communication (press conference
statements, speeches and monetary-policy statements).
Labels: dovish, neutral, hawkish.
Test-set performance
| loss | accuracy | f1 macro | f1 weighted |
|---|---|---|---|
| 2.1546 | 0.6264 | 0.6274 | 0.6331 |
Usage
from transformers import pipeline
clf = pipeline("text-classification", model="LorenzoAleCon29/roberta-large-dapt-fomc-hawkish-dovish")
clf("Inflationary pressures warrant a tightening of the policy stance.")
Training curves, trainer states and full reports: https://github.com/LorenzoAlessandro/BdF-Project
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 3, 2026
- Updated
- Aug 13, 2026