README.md

---
language: ar
tags:
  - arabic
  - saudi-dialect
  - eou-detection
  - livekit
  - voice-agent
  - real-time
---

# Arabic EOU Model – Saudi Dialect (raghad23/arabic-eou-model90)

**High-performance** End-of-Utterance (EOU) detection model for real-time Arabic voice agents (LiveKit, etc.).

### Task
Binary classification:
- `LABEL_0` → Speaker continues
- `LABEL_1` → End of turn (EOU)

### Performance (Test Set)
| Metric             | Score   |
|--------------------|---------|
| Accuracy           | **90.68%** |
| Weighted F1        | **93.40%** |
| Precision (EOU)    | 99.83%  |
| Recall (EOU)       | 87.75%  |
| Eval Loss          | 0.1964  |

**Excellent real-time performance** — detects end-of-utterance accurately in Saudi Arabic dialect.

### Dataset
414k Saudi dialect samples  
https://huggingface.co/datasets/raghad23/arabic_eou_sada_dataset

### Base Model
`aubmindlab/bert-base-arabertv02`

### Latency
< 80ms → perfect for LiveKit deployment

### Usage
```python
from transformers import pipeline
pipe = pipeline("text-classification", model="raghad23/arabic-eou-model90")
pipe("تمام الحمدلله وشلونك")  # → LABEL_1 = EOU
```