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--- |
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license: mit |
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language: |
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- zh |
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- en |
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tags: |
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- mteb |
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model-index: |
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- name: bge-reranker-large-1k |
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results: |
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- task: |
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type: Reranking |
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dataset: |
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type: C-MTEB/CMedQAv1-reranking |
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name: MTEB CMedQAv1 |
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config: default |
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split: test |
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revision: None |
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metrics: |
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- type: map |
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value: 82.15039301310942 |
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- type: mrr |
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value: 84.92349206349207 |
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- task: |
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type: Reranking |
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dataset: |
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type: C-MTEB/CMedQAv2-reranking |
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name: MTEB CMedQAv2 |
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config: default |
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split: test |
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revision: None |
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metrics: |
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- type: map |
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value: 84.18695515652256 |
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- type: mrr |
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value: 86.96876984126984 |
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- task: |
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type: Reranking |
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dataset: |
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type: C-MTEB/Mmarco-reranking |
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name: MTEB MMarcoReranking |
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config: default |
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split: dev |
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revision: None |
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metrics: |
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- type: map |
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value: 37.641770303833105 |
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- type: mrr |
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value: 36.576587301587304 |
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- task: |
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type: Reranking |
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dataset: |
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type: C-MTEB/T2Reranking |
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name: MTEB T2Reranking |
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config: default |
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split: dev |
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revision: None |
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metrics: |
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- type: map |
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value: 67.47867763060952 |
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- type: mrr |
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value: 77.609724774586 |
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--- |
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本模型是在 [BAAI/bge-reranker-large](https://huggingface.co./BAAI/bge-reranker-large) 上对模型的 `model.base_model.embeddings.position_embeddings.weight` 依赖经验值进行修改，来扩大模型输入长度，并没有进行任何继续supervised fined tuning，作为新手示例。 |
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同时亦附上在`C-MTEB`的分数作为对比。 |
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感谢原作者的工作。 |
