Update README.md

README.md

@@ -9,4 +9,39 @@ base_model:
 pipeline_tag: feature-extraction
 tags:
 - retrieval
----
+---
+
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+IDs-C2I-Enc is a bi-encoder retrieval model specifically fine-tuned for the IDs subset of the CodeConvo dataset. (IDs is short for Internet-Drafts)
+
+- **Paper:** [Automated Insights Into GitHub Collaboration Dynamics](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10982058) 
+- **Training Dataset:** [jiebi/CodeConvo](https://huggingface.co/datasets/jiebi/CodeConvo)
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+You can use MTEB to load this model ([source code](https://github.com/cheop-byeon/mteb-R2Gen/blob/main/mteb/models/bge_models.py)).
+
+To run the IR evaluation task ([source code](https://github.com/cheop-byeon/mteb-R2Gen/blob/main/RFCAlign_IR_mteb.py)).
+
+## Training Details
+
+You can reproduce this with [this script](https://github.com/cheop-byeon/FlagEmbedding/blob/main/examples/finetune/embedder/encoder_only/ft_CodeConvo_encoder.sh) (reproduced here for convenience).
+
+## Citation
+
+```bibtex
+@article{bian2025automated,
+  title={Automated Insights Into GitHub Collaboration Dynamics},
+  author={Bian, Jie and Arefev, Nikolay and M{\"u}hlh{\"a}user, Max and Welzl, Michael},
+  journal={IEEE Access},
+  volume={13},
+  pages={85526--85542},
+  year={2025}
+}
+```