File size: 1,130 Bytes
d9835e8 a875136 d9835e8 92d21e6 d9835e8 92d21e6 d9835e8 58833c7 d9835e8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
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](https://huggingface.co/Qwen/Qwen-VL) 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](https://huggingface.co/Qwen/Qwen-VL) for open-sourcing their VLM models, which serve as the foundation for our filtration-oriented model.
## 📜 License
Licensed under the Apache License 2.0. |