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taymoss/sermon-boundary-qwen3-8b-lora

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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Model Card

Sermon Boundary Distillation (Qwen3-8B LoRA)

Detects preached sermon start/end times in Episcopal/Anglican full worship service transcripts.

Base model

Qwen/Qwen3-8B

Usage

python
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

base = "Qwen/Qwen3-8B"
adapter = "taymoss/sermon-boundary-qwen3-8b-lora"

tokenizer = AutoTokenizer.from_pretrained(adapter, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    base, torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto"
)
model = PeftModel.from_pretrained(model, adapter)

Holdout metrics (469 validation videos)

MetricValue
parsesuccessraten/a
detection_accuracyn/a
meansermonioun/a
meanstarterror_secn/a
meanenderror_secn/a