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---
license: apache-2.0
tags:
- turn-detection
- end-of-utterance
- voice-agent
- livekit
- onnx
---
# Turn Detector V4 (Fine-tuned)
This is a fine-tuned version of the LiveKit Turn Detector model, optimized for specific production use cases.
## Model Description
- **Base Model**: Qwen2-0.5B-Instruct
- **Task**: End-of-Utterance (EOU) detection for voice agents
- **Format**: ONNX (INT8 quantized)
- **Fine-tuning Method**: LoRA (Low-Rank Adaptation)
- **Training Data**: 1735 production conversation records
## Performance
- **Accuracy**: 79.25% @ threshold 0.38
- **Dataset**: 1735 annotated production records
- **Improvement**: +13.08% over LiveKit v1.2.2-en baseline
## Usage
```python
from livekit.agents import turn_detector
# Use with LiveKit agents
detector = turn_detector.EOUModel.load(
model_id="Vurtnec/turn-detector",
download_files=["model.onnx"]
)
```
## Model Files
- `model.onnx`: ONNX Runtime optimized model (250MB)
- Tokenizer files: Standard Qwen2 tokenizer configuration
## Training Details
- **Base Model**: LiveKit Turn Detector v1.2.2-en
- **Fine-tuning Approach**: LoRA with rank=8, alpha=16
- **Training Dataset**: 1735 production EOU examples
- **Validation Split**: 10%
- **Training Date**: December 2024
## Citation
If you use this model, please cite:
```bibtex
@misc{turn-detector-v4,
author = {Vurtnec},
title = {Turn Detector V4 - Fine-tuned EOU Model},
year = {2024},
publisher = {HuggingFace},
howpublished = {\url{https://huggingface.co/Vurtnec/turn-detector}}
}
```
## License
Apache 2.0
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