metadata
library_name: transformers
license: mit
datasets:
- coltekin/offenseval2020_tr
language:
- tr
pipeline_tag: text-classification
tags:
- offensive
- language
- detection
atasoglu/turkish-tiny-bert-uncased-offenseval2020_tr
This is a lightweight offensive language detection model fine-tuned with coltekin/offenseval2020_tr dataset on ytu-ce-cosmos/turkish-tiny-bert-uncased.
Usage
from transformers import pipeline
pipe = pipeline("text-classification", "atasoglu/turkish-tiny-bert-uncased-offenseval2020_tr")
print(pipe("bu bir test metnidir.", top_k=None))
# [{'label': 'NOT', 'score': 0.9964759945869446}, {'label': 'OFF', 'score': 0.0035239490680396557}]
Test Results
Test results examined on the test split of fine-tuning dataset.
| precision | recall | f1-score | support | |
|---|---|---|---|---|
| NOT | 0.8966 | 0.9317 | 0.9138 | 2812 |
| OFF | 0.6832 | 0.5782 | 0.6263 | 716 |
| accuracy | 0.8600 | 3528 | ||
| macro avg | 0.7899 | 0.7550 | 0.7701 | 3528 |
| weighted avg | 0.8533 | 0.8600 | 0.8555 | 3528 |