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@@ -255,58 +255,6 @@ metrics:
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  model-index:
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  - name: SentenceTransformer based on google/embeddinggemma-300m
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  results:
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- - task:
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- type: information-retrieval
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- name: Information Retrieval
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- dataset:
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- name: miriad eval 1kq 31kd
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- type: miriad-eval-1kq-31kd
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- metrics:
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- - type: cosine_accuracy@1
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- value: 0.6594746716697936
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- name: Cosine Accuracy@1
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- - type: cosine_accuracy@3
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- value: 0.851782363977486
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- name: Cosine Accuracy@3
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- - type: cosine_accuracy@5
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- value: 0.8864915572232646
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- name: Cosine Accuracy@5
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- - type: cosine_accuracy@10
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- value: 0.9221388367729831
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- name: Cosine Accuracy@10
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- - type: cosine_precision@1
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- value: 0.6594746716697936
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- name: Cosine Precision@1
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- - type: cosine_precision@3
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- value: 0.2839274546591619
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- name: Cosine Precision@3
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- - type: cosine_precision@5
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- value: 0.1772983114446529
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- name: Cosine Precision@5
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- - type: cosine_precision@10
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- value: 0.09221388367729831
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- name: Cosine Precision@10
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- - type: cosine_recall@1
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- value: 0.6594746716697936
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- name: Cosine Recall@1
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- - type: cosine_recall@3
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- value: 0.851782363977486
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- name: Cosine Recall@3
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- - type: cosine_recall@5
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- value: 0.8864915572232646
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- name: Cosine Recall@5
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- - type: cosine_recall@10
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- value: 0.9221388367729831
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- name: Cosine Recall@10
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- - type: cosine_ndcg@10
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- value: 0.8010890969651965
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- name: Cosine Ndcg@10
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- - type: cosine_mrr@10
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- value: 0.7611777450192088
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- name: Cosine Mrr@10
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- - type: cosine_map@100
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- value: 0.7639163051862724
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- name: Cosine Map@100
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  - task:
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  type: information-retrieval
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  name: Information Retrieval
 
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  model-index:
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  - name: SentenceTransformer based on google/embeddinggemma-300m
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  results:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - task:
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  type: information-retrieval
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  name: Information Retrieval