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berturk-tobacco-control
hkucukali/berturk-tobacco-control
berturk-tobacco-control is a text classification model from hkucukali. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
This model is fine-tuned to identify tobacco-promoting tweets in Turkish.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 9, 2024
- Updated
- Aug 9, 2024
- SHA
- 9880aa56
Base models
Model card
From the Hugging Face model README
BERTurk for Tobacco Control
This model is fine-tuned to identify tobacco-promoting tweets in Turkish.
It is based on a BERT model pretrained in Turkish: BERTurk (uncased).
Performance
| Metric | Value |
|---|---|
| Accuracy | 81.7% |
| PPV (Precision) | 81.1% |
| Sensitivity (Recall) | 87.8% |
| Specificity | 73.9% |
| F1 Score | 84.3% |
| Pearson’s phi (MCC) | 0.63 |
| Cohen’s kappa | 0.62 |
Usage
from simpletransformers.classification import ClassificationModel
model = ClassificationModel(
'bert',
'hkucukali/berturk-tobacco-control',
use_cuda=False,
num_labels=2,
)
prediction, probability = model.predict([tweet_text.lower()])
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-nc-4.0
- Languages
- tr
- Created
- Aug 9, 2024
- Updated
- Aug 9, 2024