---
language:
- ar

datasets:
 - AJGT

tags:
 - AJGT

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)

```
