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financial-sentiment-bert-base
Kroalist/financial-sentiment-bert-base
financial-sentiment-bert-base is a text classification model from Kroalist. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned on Financial PhraseBank for three-way sentiment.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025
- SHA
- 11f6ecd0
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Base models
Datasets
Model card
From the Hugging Face model README
Financial Sentiment BERT-Base (BERT-base-uncased fine-tune)
Fine-tuned on Financial PhraseBank for three-way sentiment.
| Item | Value |
|---|---|
| Base model | bert-base-uncased |
| Dataset | Financial PhraseBank |
| Labels | positive (0) · negative (1) · neutral (2) |
| Epochs | 4 |
| Hardware | CPU-only training |
Evaluation Results (Validation + Test)
Validation Accuracy (best): 81.32%
Test Performance:
precision recall f1-score support
positive 0.71 0.75 0.73 204
negative 0.67 0.81 0.74 91
neutral 0.88 0.82 0.85 432
accuracy 0.80 727
macro avg 0.75 0.79 0.77 727
weighted avg 0.81 0.80 0.80 727
Training completed in 17m 9s. Logs are available in training_logs.csv and training curve in training_metrics.png.
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tok = AutoTokenizer.from_pretrained("Kroalist/financial-sentiment-bert-base")
model = AutoModelForSequenceClassification.from_pretrained("Kroalist/financial-sentiment-bert-base")
Last updated: 2025-04-23
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025