---
language: [tr]
license: mit
pipeline_tag: text-classification
base_model: dbmdz/bert-base-turkish-cased
tags: [turkish, text-classification, werea]
datasets: [savasy/ttc4900]
metrics: [accuracy, f1]
---
# Werea-TR-Topic — Türkçe haber konu sınıflandırma

**Gerçek, insan-etiketli [savasy/ttc4900](https://huggingface.co/datasets/savasy/ttc4900) verisiyle eğitildi; aynı setin ayrılmış test bölümünde dürüstçe ölçüldü.** 7 sınıf.

## Benchmark (gerçek test)
| Metrik | Skor |
|---|---|
| Accuracy | 92.8% |
| Macro-F1 | 92.7% |

[BERTurk](https://huggingface.co/dbmdz/bert-base-turkish-cased) tabanlı, 6 epoch.

## Kullanım
```python
from transformers import pipeline
clf=pipeline("text-classification",model="Werea-co/Werea-TR-Topic")
print(clf("text metni"))
```
💜 [werea.co](https://werea.co)