readme: ---
  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)
  
  ```
  