atlasia/SfaIA-LID-Arabic-Dialect-Identifier

Sfaya-Moroccan-Darija-vs-All

This repository contains a FastText model trained for Moroccan dialect identification. The model achieves a precicion and recall of 0.94 on the atlasia/No-Arabic-Dialect-Left-Behind-v3 test dataset. It achieves the following performances:

Label	F1 Score	Precision Score	Recall Score	False Positive Rate
Morocco	0.8986	0.9166	0.8812	0.0129
Other	0.9841	0.9811	0.9871	0.1188

Try the model using the following:

import fasttext
from huggingface_hub import hf_hub_download

# download model and get the model path
model_path = hf_hub_download(repo_id="atlasia/Sfaya-Moroccan-Darija-vs-All", filename="model_binary_v3_1fpr.bin", cache_dir=None)

# load the model
model = fasttext.load_model(model_path)

# Predict with the model
texts = ["!! رقية بنت محمد"]
predictions = model.predict(texts)

print(predictions)

Happy testing! :)