| 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) | |