metadata
license: apache-2.0
datasets:
- Dauka-transformers/Compact_VLM_filter_data
language:
- en
base_model:
- Qwen/Qwen2-VL-2B-Instruct
Compact VLM Filter: Image-caption filtration-oriented Qwen2VL model
This model is a fine-tuned version of Qwen/Qwen2-VL-2B-Instruct trained to perform filtration-oriented image-text evaluation, based on our custom dataset.
🔍 Intended Use
The model is designed to:
- Evaluate alignment of image and caption
- Provide image/caption alignment scores and textual justification for noisy web-scale data
- Supports local deployment for cost-efficient training data filtration
🏋️ Training Details
- Base model:
Qwen/Qwen2-VL-2B-Instruct - Fine-tuning objective: in-context evaluation of aligment, quality and safety
- Dataset: ~4.8K samples with score, justification, caption, and image
🤝 Acknowledgements
Thanks to the Qwen team for open-sourcing their VLM models, which serve as the foundation for our filtration-oriented model.
📜 License
Licensed under the Apache License 2.0.