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bert-turkish-disaster
saribiyiko/bert-turkish-disaster
bert-turkish-disaster is a text classification model from saribiyiko. Use it when you need a label for a piece of text.
Fine-tuned from dbmdz/bert-base-turkish-cased on a Turkish disaster-response tweet dataset (~30k samples).
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At a glance
- Task
- Text Classification
- Model type
- bert
- Access
- Public
- Created
- Apr 9, 2026
- Updated
- Apr 9, 2026
- SHA
- 524ae410
Base models
Model card
From the Hugging Face model README
Turkish Disaster Tweet Classifier
Fine-tuned from dbmdz/bert-base-turkish-cased on a Turkish disaster-response tweet dataset (~30k samples).
Labels
| ID | Label |
|---|---|
| 0 | SituationalUpdate |
| 1 | HelpRequest |
| 2 | Other |
| 3 | AidOffer |
| 4 | OfficialInformation |
| 5 | DamageReport |
Usage
from transformers import pipeline
clf = pipeline("text-classification", model="saribiyiko/bert-turkish-disaster")
clf("Deprem bölgesinde çadır yardımı yapılıyor")
Training details
- Base model:
dbmdz/bert-base-turkish-cased - Max length: 128
- Epochs: 3
- Batch size: 32
- Learning rate: 2e-5
- Task
- Text Classification
- Type
- bert
- Languages
- tr
- Created
- Apr 9, 2026
- Updated
- Apr 9, 2026