4777 lines
119 KiB
Markdown
4777 lines
119 KiB
Markdown
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---
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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: SGPT-125M-weightedmean-msmarco-specb-bitfit
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results:
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_counterfactual
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name: MTEB AmazonCounterfactualClassification (en)
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config: en
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split: test
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revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
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metrics:
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- type: accuracy
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value: 61.23880597014926
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- type: ap
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value: 25.854431650388644
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- type: f1
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value: 55.751862762818604
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_counterfactual
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name: MTEB AmazonCounterfactualClassification (de)
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config: de
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split: test
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revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
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metrics:
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- type: accuracy
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value: 56.88436830835117
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- type: ap
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value: 72.67279104379772
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- type: f1
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value: 54.449840243786404
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_counterfactual
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name: MTEB AmazonCounterfactualClassification (en-ext)
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config: en-ext
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split: test
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revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
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metrics:
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- type: accuracy
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value: 58.27586206896551
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- type: ap
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value: 14.067357642500387
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- type: f1
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value: 48.172318518691334
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_counterfactual
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name: MTEB AmazonCounterfactualClassification (ja)
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config: ja
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split: test
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revision: 2d8a100785abf0ae21420d2a55b0c56e3e1ea996
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metrics:
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- type: accuracy
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value: 54.64668094218415
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- type: ap
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value: 11.776694555054965
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- type: f1
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value: 44.526622834078765
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_polarity
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name: MTEB AmazonPolarityClassification
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config: default
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split: test
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revision: 80714f8dcf8cefc218ef4f8c5a966dd83f75a0e1
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metrics:
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- type: accuracy
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value: 65.401225
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- type: ap
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value: 60.22809958678552
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- type: f1
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value: 65.0251824898292
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_reviews_multi
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name: MTEB AmazonReviewsClassification (en)
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config: en
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split: test
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revision: c379a6705fec24a2493fa68e011692605f44e119
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metrics:
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- type: accuracy
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value: 31.165999999999993
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- type: f1
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value: 30.908870050167437
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_reviews_multi
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name: MTEB AmazonReviewsClassification (de)
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config: de
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split: test
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revision: c379a6705fec24a2493fa68e011692605f44e119
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metrics:
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- type: accuracy
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value: 24.79
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- type: f1
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value: 24.5833598854121
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_reviews_multi
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name: MTEB AmazonReviewsClassification (es)
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config: es
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split: test
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revision: c379a6705fec24a2493fa68e011692605f44e119
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metrics:
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- type: accuracy
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value: 26.643999999999995
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- type: f1
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value: 26.39012792213563
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_reviews_multi
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name: MTEB AmazonReviewsClassification (fr)
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config: fr
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split: test
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revision: c379a6705fec24a2493fa68e011692605f44e119
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metrics:
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- type: accuracy
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value: 26.386000000000003
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- type: f1
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value: 26.276867791454873
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_reviews_multi
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name: MTEB AmazonReviewsClassification (ja)
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config: ja
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split: test
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revision: c379a6705fec24a2493fa68e011692605f44e119
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metrics:
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- type: accuracy
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value: 22.078000000000003
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- type: f1
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value: 21.797960290226843
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- task:
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type: Classification
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dataset:
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type: mteb/amazon_reviews_multi
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name: MTEB AmazonReviewsClassification (zh)
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config: zh
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split: test
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revision: c379a6705fec24a2493fa68e011692605f44e119
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metrics:
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- type: accuracy
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value: 24.274
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- type: f1
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value: 23.887054434822627
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- task:
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type: Retrieval
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dataset:
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type: arguana
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name: MTEB ArguAna
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config: default
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split: test
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revision: 5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3
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metrics:
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- type: map_at_1
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value: 22.404
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- type: map_at_10
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value: 36.845
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- type: map_at_100
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value: 37.945
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- type: map_at_1000
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value: 37.966
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- type: map_at_3
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value: 31.78
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- type: map_at_5
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value: 34.608
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- type: mrr_at_1
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value: 22.902
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- type: mrr_at_10
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value: 37.034
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- type: mrr_at_100
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value: 38.134
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- type: mrr_at_1000
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value: 38.155
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- type: mrr_at_3
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value: 31.935000000000002
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- type: mrr_at_5
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value: 34.812
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- type: ndcg_at_1
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value: 22.404
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- type: ndcg_at_10
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value: 45.425
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- type: ndcg_at_100
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value: 50.354
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- type: ndcg_at_1000
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value: 50.873999999999995
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- type: ndcg_at_3
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value: 34.97
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- type: ndcg_at_5
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value: 40.081
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- type: precision_at_1
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value: 22.404
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- type: precision_at_10
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value: 7.303999999999999
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|
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- type: precision_at_100
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value: 0.951
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- type: precision_at_1000
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value: 0.099
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- type: precision_at_3
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value: 14.746
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- type: precision_at_5
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value: 11.337
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- type: recall_at_1
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value: 22.404
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- type: recall_at_10
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value: 73.044
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- type: recall_at_100
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value: 95.092
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- type: recall_at_1000
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value: 99.075
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- type: recall_at_3
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value: 44.239
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- type: recall_at_5
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value: 56.686
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- task:
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type: Clustering
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dataset:
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type: mteb/arxiv-clustering-p2p
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name: MTEB ArxivClusteringP2P
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config: default
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split: test
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revision: 0bbdb47bcbe3a90093699aefeed338a0f28a7ee8
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metrics:
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||
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- type: v_measure
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||
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value: 39.70858340673288
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- task:
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type: Clustering
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dataset:
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type: mteb/arxiv-clustering-s2s
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name: MTEB ArxivClusteringS2S
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config: default
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split: test
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revision: b73bd54100e5abfa6e3a23dcafb46fe4d2438dc3
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metrics:
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- type: v_measure
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value: 28.242847713721048
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- task:
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type: Reranking
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dataset:
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type: mteb/askubuntudupquestions-reranking
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name: MTEB AskUbuntuDupQuestions
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config: default
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split: test
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revision: 4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c
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metrics:
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- type: map
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value: 55.83700395192393
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- type: mrr
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value: 70.3891307215407
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- task:
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type: STS
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dataset:
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type: mteb/biosses-sts
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name: MTEB BIOSSES
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config: default
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split: test
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revision: 9ee918f184421b6bd48b78f6c714d86546106103
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metrics:
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||
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- type: cos_sim_pearson
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value: 79.25366801756223
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- type: cos_sim_spearman
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value: 75.20954502580506
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- type: euclidean_pearson
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value: 78.79900722991617
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- type: euclidean_spearman
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value: 77.79996549607588
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- type: manhattan_pearson
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value: 78.18408109480399
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- type: manhattan_spearman
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value: 76.85958262303106
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- task:
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type: Classification
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dataset:
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type: mteb/banking77
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name: MTEB Banking77Classification
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config: default
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||
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split: test
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revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
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metrics:
|
||
|
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- type: accuracy
|
||
|
|
value: 77.70454545454545
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|
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- type: f1
|
||
|
|
value: 77.6929000113803
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- task:
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|
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type: Clustering
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||
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dataset:
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type: mteb/biorxiv-clustering-p2p
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name: MTEB BiorxivClusteringP2P
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|
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config: default
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split: test
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||
|
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revision: 11d0121201d1f1f280e8cc8f3d98fb9c4d9f9c55
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||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 33.63260395543984
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|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/biorxiv-clustering-s2s
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||
|
|
name: MTEB BiorxivClusteringS2S
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||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: c0fab014e1bcb8d3a5e31b2088972a1e01547dc1
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||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 27.038042665369925
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|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackAndroidRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 22.139
|
||
|
|
- type: map_at_10
|
||
|
|
value: 28.839
|
||
|
|
- type: map_at_100
|
||
|
|
value: 30.023
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 30.153000000000002
|
||
|
|
- type: map_at_3
|
||
|
|
value: 26.521
|
||
|
|
- type: map_at_5
|
||
|
|
value: 27.775
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 26.466
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 33.495000000000005
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 34.416999999999994
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 34.485
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 31.402
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 32.496
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 26.466
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 33.372
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 38.7
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 41.696
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 29.443
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 31.121
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 26.466
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 6.037
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.0670000000000002
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.16199999999999998
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 13.782
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 9.757
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 22.139
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 42.39
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 65.427
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 86.04899999999999
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 31.127
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 35.717999999999996
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackEnglishRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 20.652
|
||
|
|
- type: map_at_10
|
||
|
|
value: 27.558
|
||
|
|
- type: map_at_100
|
||
|
|
value: 28.473
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 28.577
|
||
|
|
- type: map_at_3
|
||
|
|
value: 25.402
|
||
|
|
- type: map_at_5
|
||
|
|
value: 26.68
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 25.223000000000003
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 31.966
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 32.664
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 32.724
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 30.074
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 31.249
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 25.223000000000003
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 31.694
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 35.662
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 38.092
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 28.294000000000004
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 30.049
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 25.223000000000003
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 5.777
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.9730000000000001
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.13999999999999999
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 13.397
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 9.605
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 20.652
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 39.367999999999995
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 56.485
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 73.292
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 29.830000000000002
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 34.43
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackGamingRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 25.180000000000003
|
||
|
|
- type: map_at_10
|
||
|
|
value: 34.579
|
||
|
|
- type: map_at_100
|
||
|
|
value: 35.589999999999996
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 35.68
|
||
|
|
- type: map_at_3
|
||
|
|
value: 31.735999999999997
|
||
|
|
- type: map_at_5
|
||
|
|
value: 33.479
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 29.467
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 37.967
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 38.800000000000004
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 38.858
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 35.465
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 37.057
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 29.467
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 39.796
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 44.531
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 46.666000000000004
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 34.676
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 37.468
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 29.467
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 6.601999999999999
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.9900000000000001
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.124
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 15.568999999999999
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 11.172
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 25.180000000000003
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 52.269
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 73.574
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 89.141
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 38.522
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 45.323
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackGisRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 16.303
|
||
|
|
- type: map_at_10
|
||
|
|
value: 21.629
|
||
|
|
- type: map_at_100
|
||
|
|
value: 22.387999999999998
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 22.489
|
||
|
|
- type: map_at_3
|
||
|
|
value: 19.608
|
||
|
|
- type: map_at_5
|
||
|
|
value: 20.774
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 17.740000000000002
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 23.214000000000002
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 23.97
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 24.054000000000002
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 21.243000000000002
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 22.322
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 17.740000000000002
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 25.113000000000003
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 29.287999999999997
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 32.204
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 21.111
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 23.061999999999998
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 17.740000000000002
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.955
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.644
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.093
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 8.851
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 6.418
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 16.303
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 34.487
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 54.413999999999994
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 77.158
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 23.733
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 28.381
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackMathematicaRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 10.133000000000001
|
||
|
|
- type: map_at_10
|
||
|
|
value: 15.665999999999999
|
||
|
|
- type: map_at_100
|
||
|
|
value: 16.592000000000002
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 16.733999999999998
|
||
|
|
- type: map_at_3
|
||
|
|
value: 13.625000000000002
|
||
|
|
- type: map_at_5
|
||
|
|
value: 14.721
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 12.562000000000001
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 18.487000000000002
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 19.391
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 19.487
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 16.418
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 17.599999999999998
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 12.562000000000001
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 19.43
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 24.546
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 28.193
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 15.509999999999998
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 17.322000000000003
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 12.562000000000001
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.794
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.74
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.122
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 7.546
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 5.721
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 10.133000000000001
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 28.261999999999997
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 51.742999999999995
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 78.075
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 17.634
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 22.128999999999998
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackPhysicsRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 19.991999999999997
|
||
|
|
- type: map_at_10
|
||
|
|
value: 27.346999999999998
|
||
|
|
- type: map_at_100
|
||
|
|
value: 28.582
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 28.716
|
||
|
|
- type: map_at_3
|
||
|
|
value: 24.907
|
||
|
|
- type: map_at_5
|
||
|
|
value: 26.1
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 23.773
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 31.647
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 32.639
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 32.706
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 29.195
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 30.484
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 23.773
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 32.322
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 37.996
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 40.819
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 27.876
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 29.664
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 23.773
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 5.976999999999999
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.055
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.15
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 13.122
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 9.451
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 19.991999999999997
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 43.106
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 67.264
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 86.386
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 30.392000000000003
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 34.910999999999994
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackProgrammersRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 17.896
|
||
|
|
- type: map_at_10
|
||
|
|
value: 24.644
|
||
|
|
- type: map_at_100
|
||
|
|
value: 25.790000000000003
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 25.913999999999998
|
||
|
|
- type: map_at_3
|
||
|
|
value: 22.694
|
||
|
|
- type: map_at_5
|
||
|
|
value: 23.69
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 21.346999999999998
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 28.594
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 29.543999999999997
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 29.621
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 26.807
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 27.669
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 21.346999999999998
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 28.833
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 34.272000000000006
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 37.355
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 25.373
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 26.756
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 21.346999999999998
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 5.2170000000000005
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.954
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.13899999999999998
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 11.948
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 8.425
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 17.896
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 37.291000000000004
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 61.138000000000005
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 83.212
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 27.705999999999996
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 31.234
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 17.195166666666665
|
||
|
|
- type: map_at_10
|
||
|
|
value: 23.329083333333333
|
||
|
|
- type: map_at_100
|
||
|
|
value: 24.30308333333333
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 24.422416666666667
|
||
|
|
- type: map_at_3
|
||
|
|
value: 21.327416666666664
|
||
|
|
- type: map_at_5
|
||
|
|
value: 22.419999999999998
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 19.999916666666667
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 26.390166666666666
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 27.230999999999998
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 27.308333333333334
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 24.4675
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 25.541083333333336
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 19.999916666666667
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 27.248666666666665
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 32.00258333333334
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 34.9465
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 23.58566666666667
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 25.26341666666666
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 19.999916666666667
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 4.772166666666666
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.847
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.12741666666666668
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 10.756166666666669
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 7.725416666666667
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 17.195166666666665
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 35.99083333333334
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 57.467999999999996
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 78.82366666666667
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 25.898499999999995
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 30.084333333333333
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackStatsRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 16.779
|
||
|
|
- type: map_at_10
|
||
|
|
value: 21.557000000000002
|
||
|
|
- type: map_at_100
|
||
|
|
value: 22.338
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 22.421
|
||
|
|
- type: map_at_3
|
||
|
|
value: 19.939
|
||
|
|
- type: map_at_5
|
||
|
|
value: 20.903
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 18.404999999999998
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 23.435
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 24.179000000000002
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 24.25
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 21.907
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 22.781000000000002
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 18.404999999999998
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 24.515
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 28.721000000000004
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 31.259999999999998
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 21.508
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 23.01
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 18.404999999999998
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.834
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.641
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.093
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 9.151
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 6.503
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 16.779
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 31.730000000000004
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 51.673
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 71.17599999999999
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 23.518
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 27.230999999999998
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackTexRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 9.279
|
||
|
|
- type: map_at_10
|
||
|
|
value: 13.822000000000001
|
||
|
|
- type: map_at_100
|
||
|
|
value: 14.533
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 14.649999999999999
|
||
|
|
- type: map_at_3
|
||
|
|
value: 12.396
|
||
|
|
- type: map_at_5
|
||
|
|
value: 13.214
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 11.149000000000001
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 16.139
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 16.872
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 16.964000000000002
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 14.613000000000001
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 15.486
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 11.149000000000001
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 16.82
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 20.73
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 23.894000000000002
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 14.11
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 15.404000000000002
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 11.149000000000001
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.063
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.587
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.1
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 6.699
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 4.928
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 9.279
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 23.745
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 41.873
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 64.982
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 16.152
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 19.409000000000002
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackUnixRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 16.36
|
||
|
|
- type: map_at_10
|
||
|
|
value: 21.927
|
||
|
|
- type: map_at_100
|
||
|
|
value: 22.889
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 22.994
|
||
|
|
- type: map_at_3
|
||
|
|
value: 20.433
|
||
|
|
- type: map_at_5
|
||
|
|
value: 21.337
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 18.75
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 24.859
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 25.746999999999996
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 25.829
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 23.383000000000003
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 24.297
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 18.75
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 25.372
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 30.342999999999996
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 33.286
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 22.627
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 24.04
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 18.75
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 4.1419999999999995
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.738
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.11100000000000002
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 10.261000000000001
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 7.164
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 16.36
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 32.949
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 55.552
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 77.09899999999999
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 25.538
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 29.008
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackWebmastersRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 17.39
|
||
|
|
- type: map_at_10
|
||
|
|
value: 23.058
|
||
|
|
- type: map_at_100
|
||
|
|
value: 24.445
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 24.637999999999998
|
||
|
|
- type: map_at_3
|
||
|
|
value: 21.037
|
||
|
|
- type: map_at_5
|
||
|
|
value: 21.966
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 19.96
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 26.301000000000002
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 27.297
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 27.375
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 24.340999999999998
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 25.339
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 19.96
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 27.249000000000002
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 32.997
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 36.359
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 23.519000000000002
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 24.915000000000003
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 19.96
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 5.356000000000001
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.198
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.20400000000000001
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 10.738
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 7.904999999999999
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 17.39
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 35.254999999999995
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 61.351
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 84.395
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 25.194
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 28.546
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackWordpressRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 14.238999999999999
|
||
|
|
- type: map_at_10
|
||
|
|
value: 19.323
|
||
|
|
- type: map_at_100
|
||
|
|
value: 19.994
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 20.102999999999998
|
||
|
|
- type: map_at_3
|
||
|
|
value: 17.631
|
||
|
|
- type: map_at_5
|
||
|
|
value: 18.401
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 15.157000000000002
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 20.578
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 21.252
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 21.346999999999998
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 18.762
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 19.713
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 15.157000000000002
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 22.468
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 26.245
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 29.534
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 18.981
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 20.349999999999998
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 15.157000000000002
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.512
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.577
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.091
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 8.01
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 5.656
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 14.238999999999999
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 31.038
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 49.122
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 74.919
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 21.436
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 24.692
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: climate-fever
|
||
|
|
name: MTEB ClimateFEVER
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 392b78eb68c07badcd7c2cd8f39af108375dfcce
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 8.828
|
||
|
|
- type: map_at_10
|
||
|
|
value: 14.982000000000001
|
||
|
|
- type: map_at_100
|
||
|
|
value: 16.495
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 16.658
|
||
|
|
- type: map_at_3
|
||
|
|
value: 12.366000000000001
|
||
|
|
- type: map_at_5
|
||
|
|
value: 13.655000000000001
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 19.088
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 29.29
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 30.291
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 30.342000000000002
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 25.907000000000004
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 27.840999999999998
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 19.088
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 21.858
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 28.323999999999998
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 31.561
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 17.175
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 18.869
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 19.088
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 6.9190000000000005
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.376
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.197
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 12.703999999999999
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 9.993
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 8.828
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 27.381
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 50.0
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 68.355
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 16.118
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 20.587
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: dbpedia-entity
|
||
|
|
name: MTEB DBPedia
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: f097057d03ed98220bc7309ddb10b71a54d667d6
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 5.586
|
||
|
|
- type: map_at_10
|
||
|
|
value: 10.040000000000001
|
||
|
|
- type: map_at_100
|
||
|
|
value: 12.55
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 13.123999999999999
|
||
|
|
- type: map_at_3
|
||
|
|
value: 7.75
|
||
|
|
- type: map_at_5
|
||
|
|
value: 8.835999999999999
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 42.25
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 51.205999999999996
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 51.818
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 51.855
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 48.875
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 50.488
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 32.25
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 22.718
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 24.359
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 29.232000000000003
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 25.974000000000004
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 24.291999999999998
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 42.25
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 17.75
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 5.032
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 1.117
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 28.833
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 24.25
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 5.586
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 14.16
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 28.051
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 45.157000000000004
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 8.758000000000001
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 10.975999999999999
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/emotion
|
||
|
|
name: MTEB EmotionClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 829147f8f75a25f005913200eb5ed41fae320aa1
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 39.075
|
||
|
|
- type: f1
|
||
|
|
value: 35.01420354708222
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: fever
|
||
|
|
name: MTEB FEVER
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 1429cf27e393599b8b359b9b72c666f96b2525f9
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 43.519999999999996
|
||
|
|
- type: map_at_10
|
||
|
|
value: 54.368
|
||
|
|
- type: map_at_100
|
||
|
|
value: 54.918
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 54.942
|
||
|
|
- type: map_at_3
|
||
|
|
value: 51.712
|
||
|
|
- type: map_at_5
|
||
|
|
value: 53.33599999999999
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 46.955000000000005
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 58.219
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 58.73500000000001
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 58.753
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 55.518
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 57.191
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 46.955000000000005
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 60.45
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 63.047
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 63.712999999999994
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 55.233
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 58.072
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 46.955000000000005
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 8.267
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.962
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.10300000000000001
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 22.326999999999998
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 14.940999999999999
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 43.519999999999996
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 75.632
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 87.41600000000001
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 92.557
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 61.597
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 68.518
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: fiqa
|
||
|
|
name: MTEB FiQA2018
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 41b686a7f28c59bcaaa5791efd47c67c8ebe28be
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 9.549000000000001
|
||
|
|
- type: map_at_10
|
||
|
|
value: 15.762
|
||
|
|
- type: map_at_100
|
||
|
|
value: 17.142
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 17.329
|
||
|
|
- type: map_at_3
|
||
|
|
value: 13.575000000000001
|
||
|
|
- type: map_at_5
|
||
|
|
value: 14.754000000000001
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 19.753
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 26.568
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 27.606
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 27.68
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 24.203
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 25.668999999999997
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 19.753
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 21.118000000000002
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 27.308
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 31.304
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 18.319
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 19.414
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 19.753
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 6.08
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.204
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.192
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 12.191
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 9.383
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 9.549000000000001
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 26.131
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 50.544999999999995
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 74.968
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 16.951
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 20.95
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: hotpotqa
|
||
|
|
name: MTEB HotpotQA
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 766870b35a1b9ca65e67a0d1913899973551fc6c
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 25.544
|
||
|
|
- type: map_at_10
|
||
|
|
value: 32.62
|
||
|
|
- type: map_at_100
|
||
|
|
value: 33.275
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 33.344
|
||
|
|
- type: map_at_3
|
||
|
|
value: 30.851
|
||
|
|
- type: map_at_5
|
||
|
|
value: 31.868999999999996
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 51.087
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 57.704
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 58.175
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 58.207
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 56.106
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 57.074000000000005
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 51.087
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 40.876000000000005
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 43.762
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 45.423
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 37.65
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 39.305
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 51.087
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 8.304
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.059
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.128
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 22.875999999999998
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 15.033
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 25.544
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 41.519
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 52.957
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 64.132
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 34.315
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 37.583
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/imdb
|
||
|
|
name: MTEB ImdbClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8d743909f834c38949e8323a8a6ce8721ea6c7f4
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 58.6696
|
||
|
|
- type: ap
|
||
|
|
value: 55.3644880984279
|
||
|
|
- type: f1
|
||
|
|
value: 58.07942097405652
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: msmarco
|
||
|
|
name: MTEB MSMARCO
|
||
|
|
config: default
|
||
|
|
split: validation
|
||
|
|
revision: e6838a846e2408f22cf5cc337ebc83e0bcf77849
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 14.442
|
||
|
|
- type: map_at_10
|
||
|
|
value: 22.932
|
||
|
|
- type: map_at_100
|
||
|
|
value: 24.132
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 24.213
|
||
|
|
- type: map_at_3
|
||
|
|
value: 20.002
|
||
|
|
- type: map_at_5
|
||
|
|
value: 21.636
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 14.841999999999999
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 23.416
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 24.593999999999998
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 24.669
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 20.494
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 22.14
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 14.841999999999999
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 27.975
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 34.143
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 36.370000000000005
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 21.944
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 24.881
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 14.841999999999999
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 4.537
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.767
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.096
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 9.322
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 7.074
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 14.442
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 43.557
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 72.904
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 90.40700000000001
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 27.088
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 34.144000000000005
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (en)
|
||
|
|
config: en
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 86.95622435020519
|
||
|
|
- type: f1
|
||
|
|
value: 86.58363130708494
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (de)
|
||
|
|
config: de
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 62.73034657650043
|
||
|
|
- type: f1
|
||
|
|
value: 60.78623915840713
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (es)
|
||
|
|
config: es
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 67.54503002001334
|
||
|
|
- type: f1
|
||
|
|
value: 65.34879794116112
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (fr)
|
||
|
|
config: fr
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 65.35233322893829
|
||
|
|
- type: f1
|
||
|
|
value: 62.994001882446646
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (hi)
|
||
|
|
config: hi
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 45.37110075295806
|
||
|
|
- type: f1
|
||
|
|
value: 44.26285860740745
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (th)
|
||
|
|
config: th
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 55.276672694394215
|
||
|
|
- type: f1
|
||
|
|
value: 53.28388179869587
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (en)
|
||
|
|
config: en
|
||
|
|
split: test
|
||
|
|
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 62.25262197902417
|
||
|
|
- type: f1
|
||
|
|
value: 43.44084037148853
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (de)
|
||
|
|
config: de
|
||
|
|
split: test
|
||
|
|
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 49.56043956043956
|
||
|
|
- type: f1
|
||
|
|
value: 32.86333673498598
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (es)
|
||
|
|
config: es
|
||
|
|
split: test
|
||
|
|
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 49.93995997331555
|
||
|
|
- type: f1
|
||
|
|
value: 34.726671876888126
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (fr)
|
||
|
|
config: fr
|
||
|
|
split: test
|
||
|
|
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 46.32947071719386
|
||
|
|
- type: f1
|
||
|
|
value: 32.325273615982795
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (hi)
|
||
|
|
config: hi
|
||
|
|
split: test
|
||
|
|
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 32.208676945141626
|
||
|
|
- type: f1
|
||
|
|
value: 21.32185122815139
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (th)
|
||
|
|
config: th
|
||
|
|
split: test
|
||
|
|
revision: 6299947a7777084cc2d4b64235bf7190381ce755
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 43.627486437613015
|
||
|
|
- type: f1
|
||
|
|
value: 27.04872922347508
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (af)
|
||
|
|
config: af
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.548083389374575
|
||
|
|
- type: f1
|
||
|
|
value: 39.490307545239716
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (am)
|
||
|
|
config: am
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 24.18291862811029
|
||
|
|
- type: f1
|
||
|
|
value: 23.437620034727473
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (ar)
|
||
|
|
config: ar
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 30.134498991257562
|
||
|
|
- type: f1
|
||
|
|
value: 28.787175191531283
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (az)
|
||
|
|
config: az
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 35.88433086751849
|
||
|
|
- type: f1
|
||
|
|
value: 36.264500398782126
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (bn)
|
||
|
|
config: bn
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 29.17283120376597
|
||
|
|
- type: f1
|
||
|
|
value: 27.8101616531901
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (cy)
|
||
|
|
config: cy
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 41.788836583725626
|
||
|
|
- type: f1
|
||
|
|
value: 39.71413181054801
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (da)
|
||
|
|
config: da
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 44.176193678547406
|
||
|
|
- type: f1
|
||
|
|
value: 42.192499826552286
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (de)
|
||
|
|
config: de
|
||
|
|
split: test
|
||
|
|
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||
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||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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||
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|
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||
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||
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||
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|
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||
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|
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|
||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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|
||
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|
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||
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||
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|
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||
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|
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||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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|
||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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|
||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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|
||
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|
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||
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||
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|
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||
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|
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||
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|
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||
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|
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|
||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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|
||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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|
||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
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|
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|
||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
|
|
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||
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|
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||
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|
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||
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|
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||
|
|
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||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
|
|
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||
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|
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||
|
|
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|
||
|
|
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||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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||
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|
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|
||
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|
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||
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|
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||
|
|
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||
|
|
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||
|
|
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||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
|
|
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||
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|
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||
|
|
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||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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||
|
|
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||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
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|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (zh-TW)
|
||
|
|
config: zh-TW
|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (af)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (am)
|
||
|
|
config: am
|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ar)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (az)
|
||
|
|
config: az
|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (bn)
|
||
|
|
config: bn
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (cy)
|
||
|
|
config: cy
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (da)
|
||
|
|
config: da
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
value: 45.44384667114997
|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (de)
|
||
|
|
config: de
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 43.211163416274374
|
||
|
|
- type: f1
|
||
|
|
value: 41.04465858304789
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (el)
|
||
|
|
config: el
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 36.503026227303295
|
||
|
|
- type: f1
|
||
|
|
value: 34.49785095312759
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (en)
|
||
|
|
config: en
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
value: 69.73772696704773
|
||
|
|
- type: f1
|
||
|
|
value: 69.21759502909043
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (es)
|
||
|
|
config: es
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 44.078681909885674
|
||
|
|
- type: f1
|
||
|
|
value: 43.05914426901129
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (fa)
|
||
|
|
config: fa
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 32.61264290517821
|
||
|
|
- type: f1
|
||
|
|
value: 32.02463177462754
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (fi)
|
||
|
|
config: fi
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.35642232683255
|
||
|
|
- type: f1
|
||
|
|
value: 38.13642481807678
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (fr)
|
||
|
|
config: fr
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
value: 43.19827608343738
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (he)
|
||
|
|
config: he
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
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|
||
|
|
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|
||
|
|
value: 29.979761884698775
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (hi)
|
||
|
|
config: hi
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (hu)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (hy)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (id)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (it)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ja)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ka)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (km)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (kn)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ko)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (lv)
|
||
|
|
config: lv
|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
value: 40.928043039677206
|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ml)
|
||
|
|
config: ml
|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
value: 25.527908540685946
|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (mn)
|
||
|
|
config: mn
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
value: 29.105581708137183
|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ms)
|
||
|
|
config: ms
|
||
|
|
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|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
value: 43.78614660390047
|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (my)
|
||
|
|
config: my
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
value: 27.269670477471415
|
||
|
|
- type: f1
|
||
|
|
value: 26.228386764141852
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (nb)
|
||
|
|
config: nb
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 39.018157363819775
|
||
|
|
- type: f1
|
||
|
|
value: 37.641949339321854
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (nl)
|
||
|
|
config: nl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 45.35978480161399
|
||
|
|
- type: f1
|
||
|
|
value: 42.6851176096831
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (pl)
|
||
|
|
config: pl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 41.89307330195023
|
||
|
|
- type: f1
|
||
|
|
value: 40.888710642615024
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (pt)
|
||
|
|
config: pt
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 45.901143241425686
|
||
|
|
- type: f1
|
||
|
|
value: 44.496942353920545
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ro)
|
||
|
|
config: ro
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 44.11566913248151
|
||
|
|
- type: f1
|
||
|
|
value: 41.953945105870616
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ru)
|
||
|
|
config: ru
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 32.76395427034297
|
||
|
|
- type: f1
|
||
|
|
value: 31.436372571600934
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sl)
|
||
|
|
config: sl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.504371217215876
|
||
|
|
- type: f1
|
||
|
|
value: 39.322752749628165
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sq)
|
||
|
|
config: sq
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.51849361129792
|
||
|
|
- type: f1
|
||
|
|
value: 41.4139297118463
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sv)
|
||
|
|
config: sv
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.293207800941495
|
||
|
|
- type: f1
|
||
|
|
value: 40.50409536806683
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sw)
|
||
|
|
config: sw
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.9993275050437
|
||
|
|
- type: f1
|
||
|
|
value: 41.045416224973266
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ta)
|
||
|
|
config: ta
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 28.32548755884331
|
||
|
|
- type: f1
|
||
|
|
value: 27.276841995561867
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (te)
|
||
|
|
config: te
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 26.593813046402154
|
||
|
|
- type: f1
|
||
|
|
value: 25.483878616197586
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (th)
|
||
|
|
config: th
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 36.788836583725626
|
||
|
|
- type: f1
|
||
|
|
value: 34.603932909177686
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (tl)
|
||
|
|
config: tl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.5689307330195
|
||
|
|
- type: f1
|
||
|
|
value: 40.924469309079825
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (tr)
|
||
|
|
config: tr
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 37.09482178883658
|
||
|
|
- type: f1
|
||
|
|
value: 37.949628822857164
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ur)
|
||
|
|
config: ur
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 28.836583725622063
|
||
|
|
- type: f1
|
||
|
|
value: 27.806558655512344
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (vi)
|
||
|
|
config: vi
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 37.357094821788834
|
||
|
|
- type: f1
|
||
|
|
value: 37.507918961038165
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (zh-CN)
|
||
|
|
config: zh-CN
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 49.37794216543375
|
||
|
|
- type: f1
|
||
|
|
value: 47.20421153697707
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (zh-TW)
|
||
|
|
config: zh-TW
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 44.42165433759248
|
||
|
|
- type: f1
|
||
|
|
value: 44.34741861198931
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/medrxiv-clustering-p2p
|
||
|
|
name: MTEB MedrxivClusteringP2P
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: dcefc037ef84348e49b0d29109e891c01067226b
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 31.374938993074252
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/medrxiv-clustering-s2s
|
||
|
|
name: MTEB MedrxivClusteringS2S
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 3cd0e71dfbe09d4de0f9e5ecba43e7ce280959dc
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 26.871455379644093
|
||
|
|
- task:
|
||
|
|
type: Reranking
|
||
|
|
dataset:
|
||
|
|
type: mteb/mind_small
|
||
|
|
name: MTEB MindSmallReranking
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
||
|
|
metrics:
|
||
|
|
- type: map
|
||
|
|
value: 30.402396942935333
|
||
|
|
- type: mrr
|
||
|
|
value: 31.42600938803256
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: nfcorpus
|
||
|
|
name: MTEB NFCorpus
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 7eb63cc0c1eb59324d709ebed25fcab851fa7610
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 3.7740000000000005
|
||
|
|
- type: map_at_10
|
||
|
|
value: 7.614999999999999
|
||
|
|
- type: map_at_100
|
||
|
|
value: 9.574
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 10.711
|
||
|
|
- type: map_at_3
|
||
|
|
value: 5.7540000000000004
|
||
|
|
- type: map_at_5
|
||
|
|
value: 6.6659999999999995
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 33.127
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 40.351
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 41.144
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 41.202
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 38.029
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 39.190000000000005
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 31.579
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 22.792
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 21.698999999999998
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 30.892999999999997
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 26.828999999999997
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 25.119000000000003
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 33.127
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 16.718
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 5.7090000000000005
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 1.836
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 24.768
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 21.3
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 3.7740000000000005
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 10.302999999999999
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 23.013
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 54.864999999999995
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 6.554
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 8.087
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: nq
|
||
|
|
name: MTEB NQ
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 6062aefc120bfe8ece5897809fb2e53bfe0d128c
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 15.620999999999999
|
||
|
|
- type: map_at_10
|
||
|
|
value: 24.519
|
||
|
|
- type: map_at_100
|
||
|
|
value: 25.586
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 25.662000000000003
|
||
|
|
- type: map_at_3
|
||
|
|
value: 21.619
|
||
|
|
- type: map_at_5
|
||
|
|
value: 23.232
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 17.497
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 26.301000000000002
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 27.235
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 27.297
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 23.561
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 25.111
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 17.497
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 29.725
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 34.824
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 36.907000000000004
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 23.946
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 26.739
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 17.497
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 5.2170000000000005
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.8099999999999999
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.101
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 11.114
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 8.285
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 15.620999999999999
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 43.999
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 67.183
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 83.174
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 28.720000000000002
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 35.154
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: quora
|
||
|
|
name: MTEB QuoraRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 6205996560df11e3a3da9ab4f926788fc30a7db4
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 54.717000000000006
|
||
|
|
- type: map_at_10
|
||
|
|
value: 67.514
|
||
|
|
- type: map_at_100
|
||
|
|
value: 68.484
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 68.523
|
||
|
|
- type: map_at_3
|
||
|
|
value: 64.169
|
||
|
|
- type: map_at_5
|
||
|
|
value: 66.054
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 62.46000000000001
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 71.503
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 71.91499999999999
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 71.923
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 69.46799999999999
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 70.677
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 62.480000000000004
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 72.98
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 76.023
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 76.512
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 68.138
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 70.458
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 62.480000000000004
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 11.373
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.437
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.154
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 29.622999999999998
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 19.918
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 54.717000000000006
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 84.745
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 96.528
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 99.39
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 71.60600000000001
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 77.511
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/reddit-clustering
|
||
|
|
name: MTEB RedditClustering
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: b2805658ae38990172679479369a78b86de8c390
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 40.23390747226228
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/reddit-clustering-p2p
|
||
|
|
name: MTEB RedditClusteringP2P
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 49.090518272935626
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: scidocs
|
||
|
|
name: MTEB SCIDOCS
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 5c59ef3e437a0a9651c8fe6fde943e7dce59fba5
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 3.028
|
||
|
|
- type: map_at_10
|
||
|
|
value: 6.968000000000001
|
||
|
|
- type: map_at_100
|
||
|
|
value: 8.200000000000001
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 8.432
|
||
|
|
- type: map_at_3
|
||
|
|
value: 5.3069999999999995
|
||
|
|
- type: map_at_5
|
||
|
|
value: 6.099
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 14.799999999999999
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 22.425
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 23.577
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 23.669999999999998
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 20.233
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 21.318
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 14.799999999999999
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 12.206
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 17.799
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 22.891000000000002
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 12.128
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 10.212
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 14.799999999999999
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 6.17
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.428
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.266
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 11.333
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 8.74
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 3.028
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 12.522
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 28.975
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 54.038
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 6.912999999999999
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 8.883000000000001
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sickr-sts
|
||
|
|
name: MTEB SICK-R
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 76.62983928119752
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 65.92910683118656
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 71.10290039690963
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 64.80076622426652
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 70.8944726230188
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 64.75082576033986
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts12-sts
|
||
|
|
name: MTEB STS12
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: fdf84275bb8ce4b49c971d02e84dd1abc677a50f
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 74.42679147085553
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 66.52980061546658
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 74.87039477408763
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 70.63397666902786
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 74.97015137513088
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 70.75951355434326
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts13-sts
|
||
|
|
name: MTEB STS13
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 1591bfcbe8c69d4bf7fe2a16e2451017832cafb9
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 75.62472426599543
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 76.1662886374236
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 76.3297128081315
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 77.19385151966563
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 76.50363291423257
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 77.37081896355399
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts14-sts
|
||
|
|
name: MTEB STS14
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: e2125984e7df8b7871f6ae9949cf6b6795e7c54b
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 74.48227705407035
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 69.04572664009687
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 71.76138185714849
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 68.93415452043307
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 71.68010915543306
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 68.99176321262806
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts15-sts
|
||
|
|
name: MTEB STS15
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 1cd7298cac12a96a373b6a2f18738bb3e739a9b6
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 78.1566527175902
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 79.23677712825851
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 76.29138438696417
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 77.20108266215374
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 76.27464935799118
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 77.15286174478099
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts16-sts
|
||
|
|
name: MTEB STS16
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 360a0b2dff98700d09e634a01e1cc1624d3e42cd
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 75.068454465977
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 76.06792422441929
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 70.64605440627699
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 70.21776051117844
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 70.32479295054918
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 69.89782458638528
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (ko-ko)
|
||
|
|
config: ko-ko
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 39.43327289939437
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 52.386010275505654
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 46.40999904885745
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 51.00333465175934
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 46.55753533133655
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 51.07550440519388
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (ar-ar)
|
||
|
|
config: ar-ar
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 55.54431928210687
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 55.61674586076298
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 58.07442713714088
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 55.74066216931719
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 57.84021675638542
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 55.20365812536853
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (en-ar)
|
||
|
|
config: en-ar
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 11.378463868809098
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 8.209569244801065
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 1.07041700730406
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 2.2052197108931892
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 0.7671300251104268
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 3.430645020535567
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (en-de)
|
||
|
|
config: en-de
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 32.71403560929013
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 30.18181775929109
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 25.57368595910298
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 23.316649115731376
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 24.144200325329614
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 21.64621546338457
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (en-en)
|
||
|
|
config: en-en
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 83.36340470799158
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 84.95398260629699
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 80.69876969911644
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 80.97451731130427
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 80.65869354146945
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 80.8540858718528
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (en-tr)
|
||
|
|
config: en-tr
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 1.9200044163754912
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 1.0393399782021342
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 1.1376003191297994
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 1.8947106671763914
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 3.8362564474484335
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 4.242750882792888
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (es-en)
|
||
|
|
config: es-en
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 26.561262451099577
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 28.776666666659906
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 14.640410196999088
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 16.10557011701786
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 15.019405495911272
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 15.37192083104197
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (es-es)
|
||
|
|
config: es-es
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 69.7544202001433
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 71.88444295144646
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 73.84934185952773
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 73.26911108021089
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 74.04354196954574
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 73.37650787943872
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (fr-en)
|
||
|
|
config: fr-en
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 27.70511842301491
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 26.339466714066447
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 9.323158236506385
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 7.32083231520273
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 7.807399527573071
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 5.525546663067113
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (it-en)
|
||
|
|
config: it-en
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 24.226521799447692
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 20.72992940458968
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 6.753378617205011
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 6.281654679029505
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 7.087180250449323
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 6.41611659259516
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts17-crosslingual-sts
|
||
|
|
name: MTEB STS17 (nl-en)
|
||
|
|
config: nl-en
|
||
|
|
split: test
|
||
|
|
revision: 9fc37e8c632af1c87a3d23e685d49552a02582a0
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 29.131412364061234
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 25.053429612793547
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 10.657141303962
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 9.712124819778452
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 12.481782693315688
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 11.287958480905973
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (en)
|
||
|
|
config: en
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 64.04750650962879
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 65.66183708171826
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 66.90887604405887
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 66.89814072484552
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 67.31627110509089
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 67.01048176165322
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (de)
|
||
|
|
config: de
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 19.26519187000913
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 21.987647321429005
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 17.850618752342946
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 22.86669392885474
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 18.16183594260708
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 23.637510352837907
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (es)
|
||
|
|
config: es
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 34.221261828226936
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 49.811823238907664
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 44.50394399762147
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 50.959184495072876
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 45.83191034038624
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 50.190409866117946
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (pl)
|
||
|
|
config: pl
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 3.620381732096531
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 23.30843951799194
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 0.965453312113125
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 24.235967620790316
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 1.4408922275701606
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 25.161920137046096
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (tr)
|
||
|
|
config: tr
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 16.69489628726267
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 34.66348380997687
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 29.415825529188606
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 38.33011033170646
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 31.23273195263394
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 39.10055785755795
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (ar)
|
||
|
|
config: ar
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 9.134927430889528
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 28.18922448944151
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 19.86814169549051
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 27.519588644948627
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 21.80949221238945
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 28.25217200494078
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (ru)
|
||
|
|
config: ru
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 3.6386482942352085
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 9.068119621940966
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 0.8123129118737714
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 9.173672890166147
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 0.754518899822658
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 8.431719541986524
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (zh)
|
||
|
|
config: zh
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 2.972091574908432
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 25.48511383289232
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 12.751569670148918
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 24.940721642439286
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 14.310238482989826
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 24.69821216148647
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (fr)
|
||
|
|
config: fr
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 54.4745185734135
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 67.66493409568727
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 60.13580336797049
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 66.12319300814538
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 60.816210368708155
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 65.70010026716766
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (de-en)
|
||
|
|
config: de-en
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 49.37865412588201
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 53.07135629778897
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 49.29201416711091
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 50.54523702399645
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 51.265764141268534
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 51.979086403193605
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (es-en)
|
||
|
|
config: es-en
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 44.925652392562135
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 49.51253904767726
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 48.79346518897415
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 51.47957870101565
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 49.51314553898044
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 51.895207893189166
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (it)
|
||
|
|
config: it
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 45.241690321111875
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 48.24795739512037
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 49.22719494399897
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 49.64102442042809
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 49.497887732970256
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 49.940515338096304
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (pl-en)
|
||
|
|
config: pl-en
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 36.42138324083909
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 36.79867489417801
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 27.760612942610084
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 29.140966500287625
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 28.456674031350115
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 27.46356370924497
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (zh-en)
|
||
|
|
config: zh-en
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 26.55350664089358
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 28.681707196975008
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 12.613577889195138
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 13.589493311702933
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 11.640157427420958
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 10.345223941212415
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (es-it)
|
||
|
|
config: es-it
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 38.54682179114309
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 45.782560880405704
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 46.496857002368486
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 48.21270426410012
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 46.871839119374044
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 47.556987773851525
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (de-fr)
|
||
|
|
config: de-fr
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 35.12956772546032
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 32.96920218281008
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 34.23140384382136
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 32.19303153191447
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 34.189468276600635
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 34.887065709732376
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (de-pl)
|
||
|
|
config: de-pl
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 30.507667380509634
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 20.447284723752716
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 29.662041381794474
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 20.939990379746757
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 32.5112080506328
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 23.773047901712495
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts22-crosslingual-sts
|
||
|
|
name: MTEB STS22 (fr-pl)
|
||
|
|
config: fr-pl
|
||
|
|
split: test
|
||
|
|
revision: 2de6ce8c1921b71a755b262c6b57fef195dd7906
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 71.10820459712156
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 61.97797868009122
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 60.30910689156633
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 61.97797868009122
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 66.3405176964038
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 61.97797868009122
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/stsbenchmark-sts
|
||
|
|
name: MTEB STSBenchmark
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8913289635987208e6e7c72789e4be2fe94b6abd
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 76.53032504460737
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 75.33716094627373
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 69.64662673290599
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 67.30188896368857
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 69.45096082050807
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 67.0718727259371
|
||
|
|
- task:
|
||
|
|
type: Reranking
|
||
|
|
dataset:
|
||
|
|
type: mteb/scidocs-reranking
|
||
|
|
name: MTEB SciDocsRR
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 56a6d0140cf6356659e2a7c1413286a774468d44
|
||
|
|
metrics:
|
||
|
|
- type: map
|
||
|
|
value: 71.33941904192648
|
||
|
|
- type: mrr
|
||
|
|
value: 89.73766429648782
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: scifact
|
||
|
|
name: MTEB SciFact
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: a75ae049398addde9b70f6b268875f5cbce99089
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 43.333
|
||
|
|
- type: map_at_10
|
||
|
|
value: 52.364
|
||
|
|
- type: map_at_100
|
||
|
|
value: 53.184
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 53.234
|
||
|
|
- type: map_at_3
|
||
|
|
value: 49.832
|
||
|
|
- type: map_at_5
|
||
|
|
value: 51.244
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 45.333
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 53.455
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 54.191
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 54.235
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 51.556000000000004
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 52.622
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 45.333
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 56.899
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 60.702
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 62.046
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 52.451
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 54.534000000000006
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 45.333
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 7.8
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.987
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.11
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 20.778
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 13.866999999999999
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 43.333
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 69.69999999999999
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 86.9
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 97.6
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 57.81699999999999
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 62.827999999999996
|
||
|
|
- task:
|
||
|
|
type: PairClassification
|
||
|
|
dataset:
|
||
|
|
type: mteb/sprintduplicatequestions-pairclassification
|
||
|
|
name: MTEB SprintDuplicateQuestions
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_accuracy
|
||
|
|
value: 99.7
|
||
|
|
- type: cos_sim_ap
|
||
|
|
value: 89.88577913120001
|
||
|
|
- type: cos_sim_f1
|
||
|
|
value: 84.62694041061593
|
||
|
|
- type: cos_sim_precision
|
||
|
|
value: 84.7542627883651
|
||
|
|
- type: cos_sim_recall
|
||
|
|
value: 84.5
|
||
|
|
- type: dot_accuracy
|
||
|
|
value: 99.24752475247524
|
||
|
|
- type: dot_ap
|
||
|
|
value: 56.81855467290009
|
||
|
|
- type: dot_f1
|
||
|
|
value: 56.084126189283936
|
||
|
|
- type: dot_precision
|
||
|
|
value: 56.16850551654965
|
||
|
|
- type: dot_recall
|
||
|
|
value: 56.00000000000001
|
||
|
|
- type: euclidean_accuracy
|
||
|
|
value: 99.7059405940594
|
||
|
|
- type: euclidean_ap
|
||
|
|
value: 90.12451226491524
|
||
|
|
- type: euclidean_f1
|
||
|
|
value: 84.44211629125196
|
||
|
|
- type: euclidean_precision
|
||
|
|
value: 88.66886688668868
|
||
|
|
- type: euclidean_recall
|
||
|
|
value: 80.60000000000001
|
||
|
|
- type: manhattan_accuracy
|
||
|
|
value: 99.7128712871287
|
||
|
|
- type: manhattan_ap
|
||
|
|
value: 90.67590584183216
|
||
|
|
- type: manhattan_f1
|
||
|
|
value: 84.85436893203884
|
||
|
|
- type: manhattan_precision
|
||
|
|
value: 82.45283018867924
|
||
|
|
- type: manhattan_recall
|
||
|
|
value: 87.4
|
||
|
|
- type: max_accuracy
|
||
|
|
value: 99.7128712871287
|
||
|
|
- type: max_ap
|
||
|
|
value: 90.67590584183216
|
||
|
|
- type: max_f1
|
||
|
|
value: 84.85436893203884
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/stackexchange-clustering
|
||
|
|
name: MTEB StackExchangeClustering
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 70a89468f6dccacc6aa2b12a6eac54e74328f235
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 52.74481093815175
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/stackexchange-clustering-p2p
|
||
|
|
name: MTEB StackExchangeClusteringP2P
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: d88009ab563dd0b16cfaf4436abaf97fa3550cf0
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 32.65999453562101
|
||
|
|
- task:
|
||
|
|
type: Reranking
|
||
|
|
dataset:
|
||
|
|
type: mteb/stackoverflowdupquestions-reranking
|
||
|
|
name: MTEB StackOverflowDupQuestions
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9
|
||
|
|
metrics:
|
||
|
|
- type: map
|
||
|
|
value: 44.74498464555465
|
||
|
|
- type: mrr
|
||
|
|
value: 45.333879764026825
|
||
|
|
- task:
|
||
|
|
type: Summarization
|
||
|
|
dataset:
|
||
|
|
type: mteb/summeval
|
||
|
|
name: MTEB SummEval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8753c2788d36c01fc6f05d03fe3f7268d63f9122
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 29,603788751645216
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 29.705103354786033
|
||
|
|
- type: dot_pearson
|
||
|
|
value: 28.07425338095399
|
||
|
|
- type: dot_spearman
|
||
|
|
value: 26.841406359135367
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: trec-covid
|
||
|
|
name: MTEB TRECCOVID
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 0.241
|
||
|
|
- type: map_at_10
|
||
|
|
value: 1.672
|
||
|
|
- type: map_at_100
|
||
|
|
value: 7.858999999999999
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 17.616
|
||
|
|
- type: map_at_3
|
||
|
|
value: 0.631
|
||
|
|
- type: map_at_5
|
||
|
|
value: 0.968
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 90.0
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 92.952
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 93.036
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 93.036
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 92.667
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 92.667
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 83.0
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 70.30199999999999
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 48.149
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 40.709
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 79.173
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 75.347
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 90.0
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 72.6
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 48.46
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 18.093999999999998
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 84.0
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 78.8
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 0.241
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 1.814
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 11.141
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 37.708999999999996
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 0.647
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 1.015
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: webis-touche2020
|
||
|
|
name: MTEB Touche2020
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 527b7d77e16e343303e68cb6af11d6e18b9f7b3b
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 2.782
|
||
|
|
- type: map_at_10
|
||
|
|
value: 9.06
|
||
|
|
- type: map_at_100
|
||
|
|
value: 14.571000000000002
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 16.006999999999998
|
||
|
|
- type: map_at_3
|
||
|
|
value: 5.037
|
||
|
|
- type: map_at_5
|
||
|
|
value: 6.63
|
||
|
|
- type: mrr_at_1
|
||
|
|
value: 34.694
|
||
|
|
- type: mrr_at_10
|
||
|
|
value: 48.243
|
||
|
|
- type: mrr_at_100
|
||
|
|
value: 49.065
|
||
|
|
- type: mrr_at_1000
|
||
|
|
value: 49.065
|
||
|
|
- type: mrr_at_3
|
||
|
|
value: 44.897999999999996
|
||
|
|
- type: mrr_at_5
|
||
|
|
value: 46.428999999999995
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 31.633
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 22.972
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 34.777
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 45.639
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 26.398
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 24.418
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 34.694
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 19.796
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 7.224
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 1.4449999999999998
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 26.531
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 23.265
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 2.782
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 14.841
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 44.86
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 78.227
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 5.959
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 8.969000000000001
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/toxic_conversations_50k
|
||
|
|
name: MTEB ToxicConversationsClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 62.657999999999994
|
||
|
|
- type: ap
|
||
|
|
value: 10.96353161716344
|
||
|
|
- type: f1
|
||
|
|
value: 48.294226423442645
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/tweet_sentiment_extraction
|
||
|
|
name: MTEB TweetSentimentExtractionClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 62146448f05be9e52a36b8ee9936447ea787eede
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 52.40803621958121
|
||
|
|
- type: f1
|
||
|
|
value: 52.61009636022186
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/twentynewsgroups-clustering
|
||
|
|
name: MTEB TwentyNewsgroupsClustering
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 091a54f9a36281ce7d6590ec8c75dd485e7e01d4
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 32.12697126747911
|
||
|
|
- task:
|
||
|
|
type: PairClassification
|
||
|
|
dataset:
|
||
|
|
type: mteb/twittersemeval2015-pairclassification
|
||
|
|
name: MTEB TwitterSemEval2015
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_accuracy
|
||
|
|
value: 80.69976753889253
|
||
|
|
- type: cos_sim_ap
|
||
|
|
value: 54.74680676121268
|
||
|
|
- type: cos_sim_f1
|
||
|
|
value: 53.18923998590391
|
||
|
|
- type: cos_sim_precision
|
||
|
|
value: 47.93563413084904
|
||
|
|
- type: cos_sim_recall
|
||
|
|
value: 59.73614775725594
|
||
|
|
- type: dot_accuracy
|
||
|
|
value: 79.3348036001669
|
||
|
|
- type: dot_ap
|
||
|
|
value: 48.46902128933627
|
||
|
|
- type: dot_f1
|
||
|
|
value: 50.480109739369006
|
||
|
|
- type: dot_precision
|
||
|
|
value: 42.06084051345173
|
||
|
|
- type: dot_recall
|
||
|
|
value: 63.113456464379944
|
||
|
|
- type: euclidean_accuracy
|
||
|
|
value: 79.78780473266973
|
||
|
|
- type: euclidean_ap
|
||
|
|
value: 50.258327255164815
|
||
|
|
- type: euclidean_f1
|
||
|
|
value: 49.655838666827684
|
||
|
|
- type: euclidean_precision
|
||
|
|
value: 45.78044978846582
|
||
|
|
- type: euclidean_recall
|
||
|
|
value: 54.24802110817942
|
||
|
|
- type: manhattan_accuracy
|
||
|
|
value: 79.76992310901831
|
||
|
|
- type: manhattan_ap
|
||
|
|
value: 49.89892485714363
|
||
|
|
- type: manhattan_f1
|
||
|
|
value: 49.330433787341185
|
||
|
|
- type: manhattan_precision
|
||
|
|
value: 43.56175459874672
|
||
|
|
- type: manhattan_recall
|
||
|
|
value: 56.86015831134564
|
||
|
|
- type: max_accuracy
|
||
|
|
value: 80.69976753889253
|
||
|
|
- type: max_ap
|
||
|
|
value: 54.74680676121268
|
||
|
|
- type: max_f1
|
||
|
|
value: 53.18923998590391
|
||
|
|
- task:
|
||
|
|
type: PairClassification
|
||
|
|
dataset:
|
||
|
|
type: mteb/twitterurlcorpus-pairclassification
|
||
|
|
name: MTEB TwitterURLCorpus
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_accuracy
|
||
|
|
value: 86.90573213800597
|
||
|
|
- type: cos_sim_ap
|
||
|
|
value: 81.05760818661524
|
||
|
|
- type: cos_sim_f1
|
||
|
|
value: 73.64688856729379
|
||
|
|
- type: cos_sim_precision
|
||
|
|
value: 69.46491946491946
|
||
|
|
- type: cos_sim_recall
|
||
|
|
value: 78.3646442870342
|
||
|
|
- type: dot_accuracy
|
||
|
|
value: 83.80680715644041
|
||
|
|
- type: dot_ap
|
||
|
|
value: 72.49774005947461
|
||
|
|
- type: dot_f1
|
||
|
|
value: 68.68460650173216
|
||
|
|
- type: dot_precision
|
||
|
|
value: 62.954647507858105
|
||
|
|
- type: dot_recall
|
||
|
|
value: 75.56205728364644
|
||
|
|
- type: euclidean_accuracy
|
||
|
|
value: 85.97430822369697
|
||
|
|
- type: euclidean_ap
|
||
|
|
value: 78.86101740829326
|
||
|
|
- type: euclidean_f1
|
||
|
|
value: 71.07960824663695
|
||
|
|
- type: euclidean_precision
|
||
|
|
value: 70.36897306270279
|
||
|
|
- type: euclidean_recall
|
||
|
|
value: 71.8047428395442
|
||
|
|
- type: manhattan_accuracy
|
||
|
|
value: 85.94132029339853
|
||
|
|
- type: manhattan_ap
|
||
|
|
value: 78.77876711171923
|
||
|
|
- type: manhattan_f1
|
||
|
|
value: 71.07869075515912
|
||
|
|
- type: manhattan_precision
|
||
|
|
value: 69.80697847067557
|
||
|
|
- type: manhattan_recall
|
||
|
|
value: 72.39759778256852
|
||
|
|
- type: max_accuracy
|
||
|
|
value: 86.90573213800597
|
||
|
|
- type: max_ap
|
||
|
|
value: 81.05760818661524
|
||
|
|
- type: max_f1
|
||
|
|
value: 73.64688856729379
|
||
|
|
---
|
||
|
|
|
||
|
|
# SGPT-125M-weightedmean-msmarco-specb-bitfit
|
||
|
|
|
||
|
|
## Usage
|
||
|
|
|
||
|
|
For usage instructions, refer to our codebase: https://github.com/Muennighoff/sgpt
|
||
|
|
|
||
|
|
## Evaluation Results
|
||
|
|
|
||
|
|
For eval results, refer to the eval folder or our paper: https://arxiv.org/abs/2202.08904
|
||
|
|
|
||
|
|
|
||
|
|
## Training
|
||
|
|
The model was trained with the parameters:
|
||
|
|
|
||
|
|
**DataLoader**:
|
||
|
|
|
||
|
|
`torch.utils.data.dataloader.DataLoader` of length 15600 with parameters:
|
||
|
|
```
|
||
|
|
{'batch_size': 32, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
|
||
|
|
```
|
||
|
|
|
||
|
|
**Loss**:
|
||
|
|
|
||
|
|
`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
|
||
|
|
```
|
||
|
|
{'scale': 20.0, 'similarity_fct': 'cos_sim'}
|
||
|
|
```
|
||
|
|
|
||
|
|
Parameters of the fit()-Method:
|
||
|
|
```
|
||
|
|
{
|
||
|
|
"epochs": 10,
|
||
|
|
"evaluation_steps": 0,
|
||
|
|
"evaluator": "NoneType",
|
||
|
|
"max_grad_norm": 1,
|
||
|
|
"optimizer_class": "<class 'transformers.optimization.AdamW'>",
|
||
|
|
"optimizer_params": {
|
||
|
|
"lr": 0.0002
|
||
|
|
},
|
||
|
|
"scheduler": "WarmupLinear",
|
||
|
|
"steps_per_epoch": null,
|
||
|
|
"warmup_steps": 1000,
|
||
|
|
"weight_decay": 0.01
|
||
|
|
}
|
||
|
|
```
|
||
|
|
|
||
|
|
|
||
|
|
## Full Model Architecture
|
||
|
|
```
|
||
|
|
SentenceTransformer(
|
||
|
|
(0): Transformer({'max_seq_length': 300, 'do_lower_case': False}) with Transformer model: GPTNeoModel
|
||
|
|
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': True, 'pooling_mode_lasttoken': False})
|
||
|
|
)
|
||
|
|
```
|
||
|
|
|
||
|
|
## Citing & Authors
|
||
|
|
|
||
|
|
```bibtex
|
||
|
|
@article{muennighoff2022sgpt,
|
||
|
|
title={SGPT: GPT Sentence Embeddings for Semantic Search},
|
||
|
|
author={Muennighoff, Niklas},
|
||
|
|
journal={arXiv preprint arXiv:2202.08904},
|
||
|
|
year={2022}
|
||
|
|
}
|
||
|
|
```
|