Update README.md

README.md

@@ -28,9 +28,7 @@ This model is a fine-tuned version of **Microsoft's UniXcoder**, optimized for d
 - **Architecture:** Transformer-based sequence classification
 
 ## Model Sources
-- **Repository:** [Add Hugging Face Model Link Here]
 - **Paper (UniXcoder):** [https://arxiv.org/abs/2203.03850](https://arxiv.org/abs/2203.03850)
-- **Demo (Optional):** [Add Gradio/Streamlit Link Here]
 
 ## Uses
 
@@ -131,20 +129,4 @@ The model was evaluated using **20% of the dataset**, with the following results
 | Factor  | Value |
 |---------|--------|
 | **GPU Used** | 2x T4 GPU |
-| **Training Time** | ~1 hour |
-
-## Citation
-If you use this model in your research or applications, please cite:
-
-```
-@article{unixcoder,
-  title={UniXcoder: Unified Cross-Modal Pretraining for Code Representation},
-  author={Guo, Daya and Wang, Shuo and Wan, Yao and others},
-  year={2022},
-  journal={arXiv preprint arXiv:2203.03850}
-}
-```
-
-## Model Card Authors
-- **Mukit Mahdin**
-- Contact: [[email protected]]
+| **Training Time** | ~1 hour |