---
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

## Contact

- ar-ms@dohainstitute.edu.qa