Create README.md

README.md

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+---
+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
+```
+