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- ---
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- benchmark: mteb
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- type: evaluation
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- submission_name: MTEB
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  ---
 
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+ pipeline_tag: sentence-similarity
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+ tags:
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+ - sentence-transformers
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+ - feature-extraction
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+ - sentence-similarity
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+ - mteb
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+ model-index:
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+ - name: checkpoint-9000
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+ results:
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+ - task:
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+ type: Retrieval
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+ dataset:
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+ type: C-MTEB/CmedqaRetrieval
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+ name: MTEB CmedqaRetrieval
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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_at_1
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+ value: 23.191
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+ - type: map_at_10
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+ value: 34.272999999999996
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+ - type: map_at_100
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+ value: 36.101
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+ - type: map_at_1000
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+ value: 36.231
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+ - type: map_at_3
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+ value: 30.495
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+ - type: map_at_5
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+ value: 32.54
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+ - type: mrr_at_1
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+ value: 35.434
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+ - type: mrr_at_10
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+ value: 43.15
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+ - type: mrr_at_100
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+ value: 44.155
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+ - type: mrr_at_1000
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+ value: 44.211
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+ - type: mrr_at_3
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+ value: 40.735
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+ - type: mrr_at_5
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+ value: 42.052
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+ - type: ndcg_at_1
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+ value: 35.434
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+ - type: ndcg_at_10
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+ value: 40.572
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+ - type: ndcg_at_100
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+ value: 47.921
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+ - type: ndcg_at_1000
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+ value: 50.314
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+ - type: ndcg_at_3
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+ value: 35.671
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+ - type: ndcg_at_5
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+ value: 37.635000000000005
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+ - type: precision_at_1
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+ value: 35.434
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+ - type: precision_at_10
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+ value: 9.067
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+ - type: precision_at_100
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+ value: 1.506
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+ - type: precision_at_1000
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+ value: 0.181
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+ - type: precision_at_3
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+ value: 20.163
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+ - type: precision_at_5
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+ value: 14.624
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+ - type: recall_at_1
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+ value: 23.191
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+ - type: recall_at_10
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+ value: 50.318
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+ - type: recall_at_100
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+ value: 80.958
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+ - type: recall_at_1000
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+ value: 97.16799999999999
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+ - type: recall_at_3
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+ value: 35.57
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+ - type: recall_at_5
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+ value: 41.776
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+ - task:
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+ type: Retrieval
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+ dataset:
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+ type: C-MTEB/CovidRetrieval
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+ name: MTEB CovidRetrieval
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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_at_1
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+ value: 64.015
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+ - type: map_at_10
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+ value: 71.983
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+ - type: map_at_100
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+ value: 72.432
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+ - type: map_at_1000
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+ value: 72.441
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+ - type: map_at_3
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+ value: 69.92399999999999
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+ - type: map_at_5
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+ value: 71.177
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+ - type: mrr_at_1
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+ value: 64.173
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+ - type: mrr_at_10
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+ value: 71.985
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+ - type: mrr_at_100
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+ value: 72.425
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+ - type: mrr_at_1000
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+ value: 72.434
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+ - type: mrr_at_3
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+ value: 69.968
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+ - type: mrr_at_5
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+ value: 71.222
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+ - type: ndcg_at_1
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+ value: 64.173
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+ - type: ndcg_at_10
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+ value: 75.929
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+ - type: ndcg_at_100
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+ value: 77.961
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+ - type: ndcg_at_1000
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+ value: 78.223
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+ - type: ndcg_at_3
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+ value: 71.828
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+ - type: ndcg_at_5
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+ value: 74.066
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+ - type: precision_at_1
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+ value: 64.173
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+ - type: precision_at_10
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+ value: 8.924999999999999
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+ - type: precision_at_100
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+ value: 0.985
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+ - type: precision_at_1000
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+ value: 0.101
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+ - type: precision_at_3
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+ value: 25.887
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+ - type: precision_at_5
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+ value: 16.669999999999998
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+ - type: recall_at_1
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+ value: 64.015
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+ - type: recall_at_10
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+ value: 88.251
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+ - type: recall_at_100
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+ value: 97.471
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+ - type: recall_at_1000
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+ value: 99.579
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+ - type: recall_at_3
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+ value: 77.292
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+ - type: recall_at_5
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+ value: 82.666
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+ - task:
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+ type: Retrieval
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+ dataset:
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+ type: C-MTEB/DuRetrieval
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+ name: MTEB DuRetrieval
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+ config: default
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+ split: dev
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+ revision: None
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+ metrics:
157
+ - type: map_at_1
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+ value: 23.983999999999998
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+ - type: map_at_10
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+ value: 75.175
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+ - type: map_at_100
162
+ value: 78.27300000000001
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+ - type: map_at_1000
164
+ value: 78.322
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+ - type: map_at_3
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+ value: 51.214999999999996
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+ - type: map_at_5
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+ value: 64.89200000000001
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+ - type: mrr_at_1
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+ value: 83.89999999999999
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+ - type: mrr_at_10
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+ value: 89.563
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+ - type: mrr_at_100
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+ value: 89.64999999999999
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+ - type: mrr_at_1000
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+ value: 89.654
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+ - type: mrr_at_3
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+ value: 89.167
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+ - type: mrr_at_5
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+ value: 89.492
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+ - type: ndcg_at_1
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+ value: 83.89999999999999
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+ - type: ndcg_at_10
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+ value: 83.72800000000001
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+ - type: ndcg_at_100
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+ value: 87.064
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+ - type: ndcg_at_1000
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+ value: 87.504
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+ - type: ndcg_at_3
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+ value: 81.318
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+ - type: ndcg_at_5
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+ value: 80.667
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+ - type: precision_at_1
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+ value: 83.89999999999999
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+ - type: precision_at_10
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+ value: 40.699999999999996
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+ - type: precision_at_100
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+ value: 4.7780000000000005
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+ - type: precision_at_1000
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+ value: 0.488
201
+ - type: precision_at_3
202
+ value: 73.317
203
+ - type: precision_at_5
204
+ value: 62.129999999999995
205
+ - type: recall_at_1
206
+ value: 23.983999999999998
207
+ - type: recall_at_10
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+ value: 86.412
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+ - type: recall_at_100
210
+ value: 96.882
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+ - type: recall_at_1000
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+ value: 99.22
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+ - type: recall_at_3
214
+ value: 54.769999999999996
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+ - type: recall_at_5
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+ value: 71.663
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+ - task:
218
+ type: Retrieval
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+ dataset:
220
+ type: C-MTEB/EcomRetrieval
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+ name: MTEB EcomRetrieval
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+ config: default
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+ split: dev
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+ revision: None
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+ metrics:
226
+ - type: map_at_1
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+ value: 51.6
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+ - type: map_at_10
229
+ value: 61.209
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+ - type: map_at_100
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+ value: 61.734
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+ - type: map_at_1000
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+ value: 61.75000000000001
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+ - type: map_at_3
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+ value: 58.8
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+ - type: map_at_5
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+ value: 60.165
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+ - type: mrr_at_1
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+ value: 51.6
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+ - type: mrr_at_10
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+ value: 61.209
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+ - type: mrr_at_100
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+ value: 61.734
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+ - type: mrr_at_1000
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+ value: 61.75000000000001
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+ - type: mrr_at_3
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+ value: 58.8
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+ - type: mrr_at_5
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+ value: 60.165
250
+ - type: ndcg_at_1
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+ value: 51.6
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+ - type: ndcg_at_10
253
+ value: 66.13900000000001
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+ - type: ndcg_at_100
255
+ value: 68.65400000000001
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+ - type: ndcg_at_1000
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+ value: 69.057
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+ - type: ndcg_at_3
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+ value: 61.185
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+ - type: ndcg_at_5
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+ value: 63.651
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+ - type: precision_at_1
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+ value: 51.6
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+ - type: precision_at_10
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+ value: 8.17
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+ - type: precision_at_100
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+ value: 0.9339999999999999
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+ - type: precision_at_1000
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+ value: 0.097
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+ - type: precision_at_3
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+ value: 22.7
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+ - type: precision_at_5
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+ value: 14.82
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+ - type: recall_at_1
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+ value: 51.6
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+ - type: recall_at_10
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+ value: 81.69999999999999
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+ - type: recall_at_100
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+ value: 93.4
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+ - type: recall_at_1000
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+ value: 96.6
282
+ - type: recall_at_3
283
+ value: 68.10000000000001
284
+ - type: recall_at_5
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+ value: 74.1
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+ - task:
287
+ type: Retrieval
288
+ dataset:
289
+ type: C-MTEB/MMarcoRetrieval
290
+ name: MTEB MMarcoRetrieval
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+ config: default
292
+ split: dev
293
+ revision: None
294
+ metrics:
295
+ - type: map_at_1
296
+ value: 69.54599999999999
297
+ - type: map_at_10
298
+ value: 78.477
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+ - type: map_at_100
300
+ value: 78.743
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+ - type: map_at_1000
302
+ value: 78.751
303
+ - type: map_at_3
304
+ value: 76.769
305
+ - type: map_at_5
306
+ value: 77.854
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+ - type: mrr_at_1
308
+ value: 71.819
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+ - type: mrr_at_10
310
+ value: 79.008
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+ - type: mrr_at_100
312
+ value: 79.24
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+ - type: mrr_at_1000
314
+ value: 79.247
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+ - type: mrr_at_3
316
+ value: 77.55300000000001
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+ - type: mrr_at_5
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+ value: 78.477
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+ - type: ndcg_at_1
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+ value: 71.819
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+ - type: ndcg_at_10
322
+ value: 81.947
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+ - type: ndcg_at_100
324
+ value: 83.112
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+ - type: ndcg_at_1000
326
+ value: 83.325
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+ - type: ndcg_at_3
328
+ value: 78.758
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+ - type: ndcg_at_5
330
+ value: 80.563
331
+ - type: precision_at_1
332
+ value: 71.819
333
+ - type: precision_at_10
334
+ value: 9.792
335
+ - type: precision_at_100
336
+ value: 1.0370000000000001
337
+ - type: precision_at_1000
338
+ value: 0.105
339
+ - type: precision_at_3
340
+ value: 29.479
341
+ - type: precision_at_5
342
+ value: 18.659
343
+ - type: recall_at_1
344
+ value: 69.54599999999999
345
+ - type: recall_at_10
346
+ value: 92.053
347
+ - type: recall_at_100
348
+ value: 97.25399999999999
349
+ - type: recall_at_1000
350
+ value: 98.926
351
+ - type: recall_at_3
352
+ value: 83.682
353
+ - type: recall_at_5
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+ value: 87.944
355
+ - task:
356
+ type: Retrieval
357
+ dataset:
358
+ type: C-MTEB/MedicalRetrieval
359
+ name: MTEB MedicalRetrieval
360
+ config: default
361
+ split: dev
362
+ revision: None
363
+ metrics:
364
+ - type: map_at_1
365
+ value: 50.3
366
+ - type: map_at_10
367
+ value: 55.824
368
+ - type: map_at_100
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+ value: 56.379999999999995
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+ - type: map_at_1000
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+ value: 56.440999999999995
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+ - type: map_at_3
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+ value: 54.400000000000006
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+ - type: map_at_5
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+ value: 55.235
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+ - type: mrr_at_1
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+ value: 50.4
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+ - type: mrr_at_10
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+ value: 55.88999999999999
380
+ - type: mrr_at_100
381
+ value: 56.447
382
+ - type: mrr_at_1000
383
+ value: 56.508
384
+ - type: mrr_at_3
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+ value: 54.467
386
+ - type: mrr_at_5
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+ value: 55.30199999999999
388
+ - type: ndcg_at_1
389
+ value: 50.3
390
+ - type: ndcg_at_10
391
+ value: 58.577999999999996
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+ - type: ndcg_at_100
393
+ value: 61.49099999999999
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+ - type: ndcg_at_1000
395
+ value: 63.161
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+ - type: ndcg_at_3
397
+ value: 55.64
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+ - type: ndcg_at_5
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+ value: 57.13399999999999
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+ - type: precision_at_1
401
+ value: 50.3
402
+ - type: precision_at_10
403
+ value: 6.7299999999999995
404
+ - type: precision_at_100
405
+ value: 0.814
406
+ - type: precision_at_1000
407
+ value: 0.095
408
+ - type: precision_at_3
409
+ value: 19.733
410
+ - type: precision_at_5
411
+ value: 12.559999999999999
412
+ - type: recall_at_1
413
+ value: 50.3
414
+ - type: recall_at_10
415
+ value: 67.30000000000001
416
+ - type: recall_at_100
417
+ value: 81.39999999999999
418
+ - type: recall_at_1000
419
+ value: 94.69999999999999
420
+ - type: recall_at_3
421
+ value: 59.199999999999996
422
+ - type: recall_at_5
423
+ value: 62.8
424
+ - task:
425
+ type: Retrieval
426
+ dataset:
427
+ type: C-MTEB/T2Retrieval
428
+ name: MTEB T2Retrieval
429
+ config: default
430
+ split: dev
431
+ revision: None
432
+ metrics:
433
+ - type: map_at_1
434
+ value: 27.293
435
+ - type: map_at_10
436
+ value: 76.618
437
+ - type: map_at_100
438
+ value: 80.22500000000001
439
+ - type: map_at_1000
440
+ value: 80.292
441
+ - type: map_at_3
442
+ value: 53.856
443
+ - type: map_at_5
444
+ value: 66.158
445
+ - type: mrr_at_1
446
+ value: 89.659
447
+ - type: mrr_at_10
448
+ value: 92.121
449
+ - type: mrr_at_100
450
+ value: 92.214
451
+ - type: mrr_at_1000
452
+ value: 92.218
453
+ - type: mrr_at_3
454
+ value: 91.67
455
+ - type: mrr_at_5
456
+ value: 91.955
457
+ - type: ndcg_at_1
458
+ value: 89.659
459
+ - type: ndcg_at_10
460
+ value: 84.172
461
+ - type: ndcg_at_100
462
+ value: 87.767
463
+ - type: ndcg_at_1000
464
+ value: 88.419
465
+ - type: ndcg_at_3
466
+ value: 85.628
467
+ - type: ndcg_at_5
468
+ value: 84.155
469
+ - type: precision_at_1
470
+ value: 89.659
471
+ - type: precision_at_10
472
+ value: 41.914
473
+ - type: precision_at_100
474
+ value: 4.9959999999999996
475
+ - type: precision_at_1000
476
+ value: 0.515
477
+ - type: precision_at_3
478
+ value: 74.955
479
+ - type: precision_at_5
480
+ value: 62.771
481
+ - type: recall_at_1
482
+ value: 27.293
483
+ - type: recall_at_10
484
+ value: 83.004
485
+ - type: recall_at_100
486
+ value: 94.82300000000001
487
+ - type: recall_at_1000
488
+ value: 98.15
489
+ - type: recall_at_3
490
+ value: 55.455
491
+ - type: recall_at_5
492
+ value: 69.422
493
+ - task:
494
+ type: Retrieval
495
+ dataset:
496
+ type: C-MTEB/VideoRetrieval
497
+ name: MTEB VideoRetrieval
498
+ config: default
499
+ split: dev
500
+ revision: None
501
+ metrics:
502
+ - type: map_at_1
503
+ value: 59.599999999999994
504
+ - type: map_at_10
505
+ value: 69.44399999999999
506
+ - type: map_at_100
507
+ value: 69.798
508
+ - type: map_at_1000
509
+ value: 69.81
510
+ - type: map_at_3
511
+ value: 67.467
512
+ - type: map_at_5
513
+ value: 68.692
514
+ - type: mrr_at_1
515
+ value: 59.599999999999994
516
+ - type: mrr_at_10
517
+ value: 69.44399999999999
518
+ - type: mrr_at_100
519
+ value: 69.798
520
+ - type: mrr_at_1000
521
+ value: 69.81
522
+ - type: mrr_at_3
523
+ value: 67.467
524
+ - type: mrr_at_5
525
+ value: 68.692
526
+ - type: ndcg_at_1
527
+ value: 59.599999999999994
528
+ - type: ndcg_at_10
529
+ value: 73.936
530
+ - type: ndcg_at_100
531
+ value: 75.688
532
+ - type: ndcg_at_1000
533
+ value: 75.942
534
+ - type: ndcg_at_3
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+ value: 69.92399999999999
536
+ - type: ndcg_at_5
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+ value: 72.14
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+ - type: precision_at_1
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+ value: 59.599999999999994
540
+ - type: precision_at_10
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+ value: 8.790000000000001
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+ - type: precision_at_100
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+ value: 0.9610000000000001
544
+ - type: precision_at_1000
545
+ value: 0.098
546
+ - type: precision_at_3
547
+ value: 25.667
548
+ - type: precision_at_5
549
+ value: 16.48
550
+ - type: recall_at_1
551
+ value: 59.599999999999994
552
+ - type: recall_at_10
553
+ value: 87.9
554
+ - type: recall_at_100
555
+ value: 96.1
556
+ - type: recall_at_1000
557
+ value: 98.0
558
+ - type: recall_at_3
559
+ value: 77.0
560
+ - type: recall_at_5
561
+ value: 82.39999999999999
562
  ---