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metadata
language:
  - en
license: mit
tags:
  - ner
  - named-entity-recognition
  - early-modern-english
  - historical-texts
  - lora
  - peft
base_model: Qwen/Qwen3-4B-Instruct-2507

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