kurcontko
/

modernbert-news-classifier

@@ -1,199 +1,77 @@
----
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+---
+language: en
+license: apache-2.0
+tags:
+- text-classification
+- news
+- bert
+- modernbert
+- transformers
+- supervised
+datasets:
+- heegyu/news-category-dataset
+metrics:
+- accuracy
+- f1
+model-index:
+- name: ModernBERT News Classifier
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: HuffPost News Category
+      type: heegyu/news-category-dataset
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.72
+    - name: Macro F1
+      type: f1
+      value: 0.63
+base_model:
+- answerdotai/ModernBERT-large
+---
+# 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
+```python
+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`.