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README.md

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 **Note: This is a preview release.** The model is currently under development and may undergo further changes as we refine and improve its performance.
 
-## Overview
-
-**sigridjineth/ko-reranker-v1.1-preview** is an advanced Korean reranker fine-tuned to excel in understanding Korean text and delivering high-quality, context-aware relevance scores. Built on top of the [Alibaba-NLP/gte-multilingual-reranker-base](https://huggingface.co/Alibaba-NLP/gte-multilingual-reranker-base), it leverages cutting-edge techniques like hard negative mining and teacher-student distillation for enhanced performance.
-
 ## Training Data
 
 This model is trained on [sigridjineth/korean_nli_dataset_reranker_v0](https://huggingface.co/datasets/sigridjineth/korean_nli_dataset_reranker_v0), which aggregates several publicly available datasets, ensuring rich linguistic diversity:
@@ -111,8 +107,4 @@ v2 --model-id Alibaba-NLP/gte-multilingual-reranker-base --revision "main" \
   archivePrefix={arXiv},
   primaryClass={cs.CL}
 }
-```
-
-## Contact & Feedback
-
-We welcome constructive feedback, suggestions, and contributions. For improvements or inquiries, please reach out via GitHub issues or join the Hugging Face Discussions. We’re committed to continuous iteration and making **sigridjineth/ko-reranker-v1.1-preview** your go-to solution for Korean text reranking.
+```