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modernbert-news-classifier
kurcontko/modernbert-news-classifier
modernbert-news-classifier is a text classification model from kurcontko. 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 ModernBERT for classifying news text into multiple categories.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Jan 1, 2026
- Updated
- Jan 1, 2026
- SHA
- 28b78c85
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Base models
Datasets
Model card
From the Hugging Face model README
ModernBERT — News Classifier
Fine-tuned ModernBERT for classifying news text into multiple categories.
- Base model: answerdotai/ModernBERT-large
- Task: Text classification
- Dataset: HuffPost News Category
- Input: headline + short description
- Output: predicted category (top-k supported)
Usage
from transformers import pipeline
classifier = pipeline(
"text-classification",
model="kurcontko/modernbert-news-classifier",
top_k=3
)
print(classifier("Apple unveils new AI models on latest iPhone"))
Evaluation
| Metric | Score |
|---|---|
| Accuracy | 0.72 |
| Macro F1 | 0.63 |
Evaluated on the validation split of the HuffPost News Category dataset.
Training
Max sequence length: 512
Batch size: 32
Epochs: 3
Early stopping enabled
Input was constructed as headline + short_description.
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 1, 2026
- Updated
- Jan 1, 2026