Update README.md

README.md

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 ---
 license: mit
+language:
+- zh
+- en
+
+tags:
+- mteb
+model-index:
+- name: bge-reranker-large-1k
+  results:
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv1-reranking
+      name: MTEB CMedQAv1
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 82.15039301310942
+    - type: mrr
+      value: 84.92349206349207
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv2-reranking
+      name: MTEB CMedQAv2
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map
+      value: 84.18695515652256
+    - type: mrr
+      value: 86.96876984126984
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 37.641770303833105
+    - type: mrr
+      value: 36.576587301587304
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/T2Reranking
+      name: MTEB T2Reranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 67.47867763060952
+    - type: mrr
+      value: 77.609724774586
 ---
+
+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。
+同时亦附上在`C-MTEB`的分数作为对比。
+感谢原作者的工作。