Chu1111 commited on
Commit
0bfc719
1 Parent(s): 43f86e6

Update README.md

Browse files

rename model to 360Zhinao-1.8B-Reranking

Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -5,7 +5,7 @@ tags:
5
  - 奇虎360
6
  - RAG-reranking
7
  model-index:
8
- - name: 360Zhinao-1_8B-reranking
9
  results:
10
  - task:
11
  type: Reranking
@@ -70,7 +70,7 @@ We have validated the performance of our model on the [mteb-chinese-reranking le
70
 
71
  | Model | T2Reranking | MMarcoReranking | CMedQAv1 | CMedQAv2 | Avg |
72
  |:-------------------------------|:--------:|:--------:|:--------:|:--------:|:--------:|
73
- | **360Zhinao-1_8B-Reranking** | **68.55** | **37.29** | **86.75** | **87.92** | **70.13** |
74
  | piccolo-large-zh-v2 | 67.15 | 33.39 | 90.14 | 89.31 | 70 |
75
  | Baichuan-text-embedding | 67.85 | 34.3 | 88.46 | 88.06 | 69.67 |
76
  | stella-mrl-large-zh-v3.5-1792d | 66.43 | 28.85 | 89.18 | 89.33 | 68.45 |
@@ -274,7 +274,7 @@ class FlagRerankerCustom:
274
 
275
 
276
  if __name__ == "__main__":
277
- model_name_or_path = "360Zhinao-1_8B-Reranking"
278
  model = FlagRerankerCustom(model_name_or_path, use_fp16=False)
279
  inputs=[["What Color Is the Sky","Blue"], ["What Color Is the Sky","Pink"],]
280
  ret = model.compute_score(inputs)
 
5
  - 奇虎360
6
  - RAG-reranking
7
  model-index:
8
+ - name: 360Zhinao-1.8B-Reranking
9
  results:
10
  - task:
11
  type: Reranking
 
70
 
71
  | Model | T2Reranking | MMarcoReranking | CMedQAv1 | CMedQAv2 | Avg |
72
  |:-------------------------------|:--------:|:--------:|:--------:|:--------:|:--------:|
73
+ | **360Zhinao-1.8B-Reranking** | **68.55** | **37.29** | **86.75** | **87.92** | **70.13** |
74
  | piccolo-large-zh-v2 | 67.15 | 33.39 | 90.14 | 89.31 | 70 |
75
  | Baichuan-text-embedding | 67.85 | 34.3 | 88.46 | 88.06 | 69.67 |
76
  | stella-mrl-large-zh-v3.5-1792d | 66.43 | 28.85 | 89.18 | 89.33 | 68.45 |
 
274
 
275
 
276
  if __name__ == "__main__":
277
+ model_name_or_path = "360Zhinao-1.8B-Reranking"
278
  model = FlagRerankerCustom(model_name_or_path, use_fp16=False)
279
  inputs=[["What Color Is the Sky","Blue"], ["What Color Is the Sky","Pink"],]
280
  ret = model.compute_score(inputs)