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README.md
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We evaluated Jina Reranker v2 on multiple benchmarks to ensure top-tier performance and search relevance.
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| Model Name | Miracl(nDCG@10, 18 langs) | MKQA(nDCG@10, 26 langs) | BEIR(nDCG@10, 17 datasets) | MLDR(recall@10, 13 langs) | CodeSearchNet (MRR@10, 3 tasks) | AirBench (nDCG@10, zh/en) | ToolBench (recall@3, 3 tasks) | TableSearch (recall@3) |
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| jina-reranker-v2-multilingual | 62.14 | 54.83 | 53.17 | 68.95 | 71.36 | 61.33 | 77.75 | 93.31 |
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| bge-reranker-v2-m3 | 63.43 | 54.17 | 53.65 | 59.73 | 62.86 | 61.28 | 78.46 | 74.86 |
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| mmarco-mMiniLMv2-L12-H384-v1 | 59.71 | 53.37 | 45.40 | 28.91 | 51.78 | 56.46 | 58.39 | 53.60 |
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We evaluated Jina Reranker v2 on multiple benchmarks to ensure top-tier performance and search relevance.
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| Model Name | Miracl(nDCG@10, 18 langs) | MKQA(nDCG@10, 26 langs) | BEIR(nDCG@10, 17 datasets) | MLDR(recall@10, 13 langs) | CodeSearchNet (MRR@10, 3 tasks) | AirBench (nDCG@10, zh/en) | ToolBench (recall@3, 3 tasks) | TableSearch (recall@3) |
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| -----------------------------: | :-------------------------: | :-------------------------: | :----------------------------: | :----------------------------: | :----------------------------: | :----------------------------: | :----------------------------: | :----------------------------: |
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| jina-reranker-v2-multilingual | 62.14 | 54.83 | 53.17 | 68.95 | 71.36 | 61.33 | 77.75 | 93.31 |
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| bge-reranker-v2-m3 | 63.43 | 54.17 | 53.65 | 59.73 | 62.86 | 61.28 | 78.46 | 74.86 |
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| mmarco-mMiniLMv2-L12-H384-v1 | 59.71 | 53.37 | 45.40 | 28.91 | 51.78 | 56.46 | 58.39 | 53.60 |
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