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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:

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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