Model: ahmedmajid92/Arabic_MI_Classifier
Author: ahmedmajid92
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, xlm-roberta, text-classification, arabic, iraqi-dialect, msa, message-classification, fine-tuned, ar, dataset:custom, base_model:morit/arabic_xlm_xnli, base_model:finetune:morit/arabic_xlm_xnli, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: morit/arabic_xlm_xnli
Card metadata: language: ar
license: mit
library_name: transformers
pipeline_tag: text-classification
datasets: custom
tags: arabic, text-classification, iraqi-dialect, msa, message-classification, xlm-roberta, fine-tuned
widget: text: السلام عليكم ورحمة الله وبركاته
example_title: Arabic Greeting (MSA), text: هلو شلونك اليوم؟
example_title: Iraqi Greeting + Question, text: متى يبدأ الاجتماع؟
example_title: Question (MSA), text: عندي مشكلة بالانترنت
example_title: Complaint (Iraqi), text: أحب القراءة والكتابة
example_title: General Statement (MSA), text: الكهرباء نفطت
example_title: Complaint (Iraqi)
model-index: name: Arabic_MI_Classifier
results: task: type: text-classification
name: Text Classification
dataset: type: custom
name: Arabic Messages Dataset (MSA + Iraqi)
metrics: type: accuracy
value: 0.95
name: Accuracy
verified: no
base_model: morit/arabic_xlm_xnli
Likes: 0 | All-time downloads: 55
Created: 2025-07-07 14:28:11