metadata
base_model: Qwen/Qwen3-VL-8B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:Qwen/Qwen3-VL-8B-Instruct
- lora
- sft
- transformers
- trl
Model Card for ar-ms-baseline
Model Summary
This model is the baseline system for the NAKBA NLP 2026: Arabic Manuscript Understanding Shared Task (Systems Track). It fine-tunes Qwen3-VL-8B-Instruct with LoRA to transcribe Arabic manuscript line images into text.
Model Details
Description
- Model type: Vision-language OCR/HTR model (LoRA-adapted)
- Finetuned from model: Qwen/Qwen3-VL-8B-Instruct
Sources
- Repository: https://github.com/U4RASD/ar-ms-baseline
- Shared Task: https://acrps.ai/nakba-nlp-manu-understanding-2026
Training Details
Training Data
- NAKBA NLP 2026 Shared Task (Subtask 2) training split from the Omar Al-Saleh memoir collection.
- Dataset includes line images with gold transcriptions.
Training Procedure
- Supervised fine-tuning with LoRA adapters on Qwen/Qwen3-VL-8B-Instruct.
Training Hyperparameters
- Config reference: Hyperparameters are listed in
configs/default.json
Evaluation
Testing Data, Factors & Metrics
Testing Data
- NAKBA NLP 2026 Shared Task (Subtask 2) released test set of line images.
Metrics
- CER (Character Error Rate)
- WER (Word Error Rate)
Results
On released test set:
CER: 0.2297
WER: 0.4998
Hardware: NVIDIA H100 SXM