EarlyModernNER Adapters
LoRA adapters for Named Entity Recognition in Early Modern English documents (1500-1800).
Adapters
| Adapter | Entity Type | Precision | Recall | F1 |
|---|---|---|---|---|
toponym_lora |
Place names | 0.93 | 0.82 | 0.87 |
person_lora |
People | 0.93 | 0.69 | 0.80 |
organization_lora |
Institutions | 0.93 | 0.46 | 0.62 |
commodity_lora |
Trade goods | 0.85 | 0.80 | 0.83 |
Usage
These adapters are used by the EarlyModernNER package:
pip install earlymodernner
python -m earlymodernner --input your_docs/ --output results.jsonl
Adapters are automatically downloaded on first use.
Base Model
All adapters are trained on Qwen/Qwen3-4B-Instruct-2507 using QLoRA (4-bit quantization).
License
MIT License
Author
Jacob Polay, University of Saskatchewan
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Base model
Qwen/Qwen3-4B-Instruct-2507