Dang Phuong Nam
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README.md
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* [Using Huggingface transformers](#using-huggingface-transformers)
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* [Fine tune](#fine-tune)
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* [Data format](#data-format)
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Different from embedding model, reranker uses question and document as input and directly output similarity instead of
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embedding.
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| Model-Name | NDCG@3 | MRR@3 | NDCG@5 | MRR@5 | NDCG@10 | MRR@10 | Docs / Sec |
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| [namdp/ViRanker](https://huggingface.co/namdp/ViRanker) | **0.6685** | **0.6564** | 0.6842 | **0.6811** | 0.7278 | **0.6985** | 2.02
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| [kien-vu-uet/finetuned-phobert-passage-rerank-best-eval](https://huggingface.co/kien-vu-uet/finetuned-phobert-passage-rerank-best-eval) | 0.0963 | 0.0883 | 0.1396 | 0.1131 | 0.1681 | 0.1246 | **15**
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| [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) | 0.6087 | 0.5841 | 0.6513 | 0.6062 | 0.6872 | 0.62091 | 3.51
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| [BAAI/bge-reranker-v2-gemma](https://huggingface.co/BAAI/bge-reranker-v2-gemma) | 0.6088 | 0.5908 | 0.6446 | 0.6108 | 0.6785 | 0.6249 | 1.29
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* [Using Huggingface transformers](#using-huggingface-transformers)
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* [Fine tune](#fine-tune)
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* [Data format](#data-format)
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* [Performance](#performance)
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* [Citation](#citation)
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Different from embedding model, reranker uses question and document as input and directly output similarity instead of
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embedding.
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| Model-Name | NDCG@3 | MRR@3 | NDCG@5 | MRR@5 | NDCG@10 | MRR@10 | Docs / Sec |
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|-----------------------------------------------------------------------------------------------------------------------------------------|:-----------|:-----------|:-----------|:-----------|:-----------|:-----------|:-----------|
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| [namdp/ViRanker](https://huggingface.co/namdp/ViRanker) | **0.6685** | **0.6564** | 0.6842 | **0.6811** | 0.7278 | **0.6985** | 2.02
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| [itdainb/PhoRanker](https://huggingface.co/itdainb/PhoRanker) | 0.6625 | 0.6458 | **0.7147** | 0.6731 | **0.7422** | 0.6830 | **15**
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| [kien-vu-uet/finetuned-phobert-passage-rerank-best-eval](https://huggingface.co/kien-vu-uet/finetuned-phobert-passage-rerank-best-eval) | 0.0963 | 0.0883 | 0.1396 | 0.1131 | 0.1681 | 0.1246 | **15**
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| [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) | 0.6087 | 0.5841 | 0.6513 | 0.6062 | 0.6872 | 0.62091 | 3.51
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| [BAAI/bge-reranker-v2-gemma](https://huggingface.co/BAAI/bge-reranker-v2-gemma) | 0.6088 | 0.5908 | 0.6446 | 0.6108 | 0.6785 | 0.6249 | 1.29
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