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---
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](https://huggingface.co/datasets/coltekin/offenseval2020_tr) dataset on [ytu-ce-cosmos/turkish-tiny-bert-uncased](https://huggingface.co/ytu-ce-cosmos/turkish-tiny-bert-uncased).
## Usage
```py
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 | |