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! :)
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