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@@ -2497,25 +2497,6 @@ model-index:
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  value: 78.19098856758575
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  task:
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  type: Classification
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- - dataset:
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- config: zh-CN
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- name: MTEB MassiveIntentClassification (zh-CN)
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- revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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- split: validation
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- type: mteb/amazon_massive_intent
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- metrics:
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- - type: accuracy
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- value: 78.9621249385145
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- - type: accuracy_stderr
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- value: 0.776195312198892
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- - type: f1
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- value: 76.06400091312922
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- - type: f1_stderr
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- value: 0.9996746285634638
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- - type: main_score
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- value: 78.9621249385145
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- task:
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- type: Classification
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  - dataset:
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  config: zh-CN
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  name: MTEB MassiveScenarioClassification (zh-CN)
@@ -2535,25 +2516,6 @@ model-index:
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  value: 82.58238063214526
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  task:
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  type: Classification
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- - dataset:
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- config: zh-CN
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- name: MTEB MassiveScenarioClassification (zh-CN)
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- revision: 7d571f92784cd94a019292a1f45445077d0ef634
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- split: validation
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- type: mteb/amazon_massive_scenario
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- metrics:
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- - type: accuracy
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- value: 81.54451549434333
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- - type: accuracy_stderr
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- value: 1.1484831102744437
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- - type: f1
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- value: 80.83663386281769
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- - type: f1_stderr
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- value: 1.0242036481381822
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- - type: main_score
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- value: 81.54451549434333
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- task:
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- type: Classification
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  - dataset:
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  config: default
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  name: MTEB MedicalRetrieval
 
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  value: 78.19098856758575
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  task:
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  type: Classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - dataset:
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  config: zh-CN
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  name: MTEB MassiveScenarioClassification (zh-CN)
 
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  value: 82.58238063214526
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  task:
2518
  type: Classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - dataset:
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  config: default
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  name: MTEB MedicalRetrieval