Vurtnec/turn-detector

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

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:

@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