Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- Dauka-transformers/Compact_VLM_filter_data
+language:
+- en
+base_model:
+- Qwen/Qwen2-VL-2B-Instruct
+---
+# Qwen2VL Fine-Tuned for Filtration Tasks
+
+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 justification scores for noisy web-scale data
+- Support local deployment for cost-efficient filtering
+
+## 🏋️ Training Details
+
+- Base model: `Qwen/Qwen2-VL-2B-Instruct`
+- Fine-tuning objective: in-context scoring + justification
+- Dataset: ~4.8K samples with score, justification, text, and image
+
+## 📁 Files
+
+- `model.safetensors` – fine-tuned weights
+- `processor` – image and text processor
+- `README.md` – this card
+
+## 🤝 Acknowledgements
+
+Thanks to the [Qwen team](https://huggingface.co/Qwen/Qwen-VL) for the base model and authors of:
+
+
+## 📜 License
+
+Licensed under the Apache License 2.0.