ProsusAI/finbert
text-classification model by ProsusAI
From the publisher
Model card & documentation
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FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. Financial PhraseBank by Malo et al. (2014) is used for fine-tuning. For more details, please see the paper FinBERT: Financial Sentiment Analysis with Pre-trained Language Models and our related blog post on Medium. The model will give softmax outputs for three labels: positive, negative or neutral. To get the scores for all three labels, pass topk=None to the classifier. This model was trained using the Financial PhraseBank dataset: The Financial PhraseBank dataset is licensed under CC BY-NC-SA 3.0. The underlying language model was further pre-trained on a subset of the Reuters TRC2 corpus, which is distributed by NIST under its own access terms. Prosus is a global consumer internet group and…
Read the full model card ↗ · Preview checked 2026-10-28T20:38:44.732Z
Inside the original model card — Document outline
- FinBERT
- How to use
- Model details
- Training data
- Training Data Attribution
- Citation
- About Prosus
- 📧 Contact
- 📜 License and Usage Terms
- Model Weights License
- ⚠️ User Responsibilities
- 🚫 Disclaimer
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Documentation belongs to its respective authors. Reported project/model license: cc-by-nc-sa-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ProsusAI/finbert is a text-classification model repository published by ProsusAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 3,924,580
- Cumulative likes
- 1,296
- Hugging Face trending score
- 3
- Reported safetensors parameters
- 109,485,059
- Architecture
- BertForSequenceClassification
- License
- cc-by-nc-sa-4.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:04.000Z
- Last modified
- 2026-10-12T09:04:17.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:31.990Z. Daily imports are snapshots, not real-time monitoring.
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