CoolFace
Modelpublic

uaebn/leesplank-municipal

sourceHugging Facemitupdated 8mo agoView on Hugging Face
0likes16downloads
Model Card

Leesplank Municipal Finetune

A specialized adaptation of UWV/leesplank-noot-eurollm-1.7b for simplifying Dutch municipal and legal texts to B1 reading level.

Model Description

This model is fine-tuned specifically for the municipal domain, building upon the UWV Leesplank Noot base model. The fine-tuning focused on adapting the model's behavior to handle the specific vocabulary, structures, and simplification patterns common in Dutch municipal communications.

Intended Use

  • —Simplifying Dutch municipal documents and legal texts
  • —Making government communications more accessible to B1 readers
  • —Supporting clear language initiatives in public administration

Performance

The model has been evaluated on a human-verified municipal text dataset:

MetricScoreDescription
SARI56.18Measures simplification quality (higher is typically better*)
BERTScore0.95Semantic meaning preservation
LiNT-II48.76 - 2.69Dutch readability score (B1 target)
Flesch-Douma52.68Reading ease score

*Depends on simplification strategy.

Evaluation dataset: temp

Intended use

Use the ChatML format, and prefix your input text with "Vereenvoudig:" only.

message = [
    {
        "role": "user", 
        "content": f"Vereenvoudig: {input_text}"
    }
]

Training Details

Base Model: UWV/Leesplank-Noot-1.7B

Method: QLoRA fine-tuning with targeted parameter updates to specialize for municipal domain

Configuration:

  • —LoRA Rank: 64
  • —LoRA Alpha: 128
  • —Target Modules: "qproj", "kproj", "vproj", "oproj", "gateproj", "upproj", "down_proj"

Limitations

  • —Optimized specifically for Dutch municipal and legal texts
  • —Performance may vary on other text types
  • —Inherits base model limitations

Acknowledgments

This model builds upon the work by UWV on the Leesplank Noot base model.