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---
language:
- ar
datasets:
- AJGT
tags:
- labr
widget:
- text: "يهدي الله من يشاء"
- text: "الاسلوب قذر وقمامه"
---
# BERT-AJGT
Arabic version bert model fine tuned on AJGT dataset
## Data
The model were fine-tuned on ~1800 sentence from twitter for Jordanian dialect.
## Results
| class | precision | recall | f1-score | Support |
|----------|-----------|--------|----------|---------|
| 0 | 0.9462 | 0.9778 | 0.9617 | 90 |
| 1 | 0.9399 | 0.9689 | 0.9542 | 90 |
| Accuracy | | | 0.9611 | 180 |
## How to use
You can use these models by installing `torch` or `tensorflow` and Huggingface library `transformers`. And you can use it directly by initializing it like this:
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name="mofawzy/bert-ajgt"
model = AutoModelForSequenceClassification.from_pretrained(model_name,num_labels=2)
tokenizer = AutoTokenizer.from_pretrained(model_name)
```
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