4531 lines
114 KiB
Markdown
4531 lines
114 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-nli-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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||
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|
- type: accuracy
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||
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|
value: 65.88059701492537
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- type: ap
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||
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|
value: 28.685493163579785
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- type: f1
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||
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value: 59.79951005816335
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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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||
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|
- type: accuracy
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||
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|
value: 59.07922912205568
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|
- type: ap
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||
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|
value: 73.91887421019034
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- type: f1
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||
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|
value: 56.6316368658711
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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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||
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|
- type: accuracy
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||
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|
value: 64.91754122938531
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|
- type: ap
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||
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|
value: 16.360681214864226
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- type: f1
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||
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value: 53.126592061523766
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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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||
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|
- type: accuracy
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||
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|
value: 56.423982869378996
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- type: ap
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|
value: 12.143003571907899
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- type: f1
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value: 45.76363777987471
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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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||
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|
- type: accuracy
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||
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|
value: 74.938225
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|
- type: ap
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|
value: 69.58187110320567
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- type: f1
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value: 74.72744058439321
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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: 35.098
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- type: f1
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value: 34.73265651435726
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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: 24.516
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- type: f1
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||
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value: 24.21748200448397
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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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||
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value: 29.097999999999995
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- type: f1
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value: 28.620040162757093
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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: 27.395999999999997
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- type: f1
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value: 27.146888644986284
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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: 21.724
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- type: f1
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value: 21.37230564276654
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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: 23.976
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- type: f1
|
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value: 23.741137981755482
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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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||
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- type: map_at_1
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value: 13.442000000000002
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- type: map_at_10
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value: 24.275
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- type: map_at_100
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value: 25.588
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- type: map_at_1000
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value: 25.659
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- type: map_at_3
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value: 20.092
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- type: map_at_5
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value: 22.439999999999998
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- type: ndcg_at_1
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value: 13.442000000000002
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- type: ndcg_at_10
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value: 31.04
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- type: ndcg_at_100
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value: 37.529
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- type: ndcg_at_1000
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value: 39.348
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- type: ndcg_at_3
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value: 22.342000000000002
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- type: ndcg_at_5
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value: 26.595999999999997
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- type: precision_at_1
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value: 13.442000000000002
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- type: precision_at_10
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value: 5.299
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- type: precision_at_100
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value: 0.836
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- type: precision_at_1000
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value: 0.098
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- type: precision_at_3
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value: 9.625
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- type: precision_at_5
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value: 7.852
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- type: recall_at_1
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value: 13.442000000000002
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- type: recall_at_10
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value: 52.986999999999995
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- type: recall_at_100
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value: 83.64200000000001
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- type: recall_at_1000
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value: 97.795
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- type: recall_at_3
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value: 28.876
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- type: recall_at_5
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value: 39.26
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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: 34.742482477870766
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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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||
|
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- type: v_measure
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||
|
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value: 24.67870651472156
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- task:
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type: Clustering
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dataset:
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type: slvnwhrl/blurbs-clustering-s2s
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name: MTEB BlurbsClusteringS2S
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config: default
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split: test
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revision: 9bfff9a7f8f6dc6ffc9da71c48dd48b68696471d
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metrics:
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- type: v_measure
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value: 8.00311862863495
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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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|
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- type: map
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||
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value: 52.63439984994702
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|
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- type: mrr
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||
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value: 65.75704612408214
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- task:
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|
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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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|
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metrics:
|
||
|
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- type: cos_sim_pearson
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||
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value: 72.78000135012542
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- type: cos_sim_spearman
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value: 70.92812216947605
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- type: euclidean_pearson
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value: 77.1169214949292
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- type: euclidean_spearman
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value: 77.10175681583313
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- type: manhattan_pearson
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value: 76.84527031837595
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|
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- type: manhattan_spearman
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|
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value: 77.0704308008438
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|
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- task:
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|
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type: BitextMining
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||
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dataset:
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type: mteb/bucc-bitext-mining
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|
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name: MTEB BUCC (de-en)
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|
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config: de-en
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|
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split: test
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revision: d51519689f32196a32af33b075a01d0e7c51e252
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||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 1.0960334029227559
|
||
|
|
- type: f1
|
||
|
|
value: 1.0925539318023658
|
||
|
|
- type: precision
|
||
|
|
value: 1.0908141962421711
|
||
|
|
- type: recall
|
||
|
|
value: 1.0960334029227559
|
||
|
|
- task:
|
||
|
|
type: BitextMining
|
||
|
|
dataset:
|
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|
|
type: mteb/bucc-bitext-mining
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||
|
|
name: MTEB BUCC (fr-en)
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||
|
|
config: fr-en
|
||
|
|
split: test
|
||
|
|
revision: d51519689f32196a32af33b075a01d0e7c51e252
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 0.02201188641866608
|
||
|
|
- type: f1
|
||
|
|
value: 0.02201188641866608
|
||
|
|
- type: precision
|
||
|
|
value: 0.02201188641866608
|
||
|
|
- type: recall
|
||
|
|
value: 0.02201188641866608
|
||
|
|
- task:
|
||
|
|
type: BitextMining
|
||
|
|
dataset:
|
||
|
|
type: mteb/bucc-bitext-mining
|
||
|
|
name: MTEB BUCC (ru-en)
|
||
|
|
config: ru-en
|
||
|
|
split: test
|
||
|
|
revision: d51519689f32196a32af33b075a01d0e7c51e252
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 0.0
|
||
|
|
- type: f1
|
||
|
|
value: 0.0
|
||
|
|
- type: precision
|
||
|
|
value: 0.0
|
||
|
|
- type: recall
|
||
|
|
value: 0.0
|
||
|
|
- task:
|
||
|
|
type: BitextMining
|
||
|
|
dataset:
|
||
|
|
type: mteb/bucc-bitext-mining
|
||
|
|
name: MTEB BUCC (zh-en)
|
||
|
|
config: zh-en
|
||
|
|
split: test
|
||
|
|
revision: d51519689f32196a32af33b075a01d0e7c51e252
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 0.0
|
||
|
|
- type: f1
|
||
|
|
value: 0.0
|
||
|
|
- type: precision
|
||
|
|
value: 0.0
|
||
|
|
- type: recall
|
||
|
|
value: 0.0
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/banking77
|
||
|
|
name: MTEB Banking77Classification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 44fa15921b4c889113cc5df03dd4901b49161ab7
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 74.67857142857142
|
||
|
|
- type: f1
|
||
|
|
value: 74.61743413995573
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/biorxiv-clustering-p2p
|
||
|
|
name: MTEB BiorxivClusteringP2P
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 11d0121201d1f1f280e8cc8f3d98fb9c4d9f9c55
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 28.93427045246491
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/biorxiv-clustering-s2s
|
||
|
|
name: MTEB BiorxivClusteringS2S
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: c0fab014e1bcb8d3a5e31b2088972a1e01547dc1
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 23.080939123955474
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackAndroidRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 18.221999999999998
|
||
|
|
- type: map_at_10
|
||
|
|
value: 24.506
|
||
|
|
- type: map_at_100
|
||
|
|
value: 25.611
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 25.758
|
||
|
|
- type: map_at_3
|
||
|
|
value: 22.264999999999997
|
||
|
|
- type: map_at_5
|
||
|
|
value: 23.698
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 23.033
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 28.719
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 33.748
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 37.056
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 25.240000000000002
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 27.12
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 23.033
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 5.408
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.004
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.158
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 11.874
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 8.927
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 18.221999999999998
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 36.355
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 58.724
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 81.33500000000001
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 26.334000000000003
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 31.4
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackEnglishRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 12.058
|
||
|
|
- type: map_at_10
|
||
|
|
value: 16.051000000000002
|
||
|
|
- type: map_at_100
|
||
|
|
value: 16.772000000000002
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 16.871
|
||
|
|
- type: map_at_3
|
||
|
|
value: 14.78
|
||
|
|
- type: map_at_5
|
||
|
|
value: 15.5
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 15.35
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 18.804000000000002
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 22.346
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 25.007
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 16.768
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 17.692
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 15.35
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.51
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.664
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.11100000000000002
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 7.983
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 5.656
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 12.058
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 23.644000000000002
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 39.76
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 58.56
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 17.541999999999998
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 20.232
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackGamingRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 21.183
|
||
|
|
- type: map_at_10
|
||
|
|
value: 28.9
|
||
|
|
- type: map_at_100
|
||
|
|
value: 29.858
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 29.953999999999997
|
||
|
|
- type: map_at_3
|
||
|
|
value: 26.58
|
||
|
|
- type: map_at_5
|
||
|
|
value: 27.912
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 24.765
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 33.339999999999996
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 37.997
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 40.416000000000004
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 29.044999999999998
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 31.121
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 24.765
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 5.599
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.8699999999999999
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.11499999999999999
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 13.270999999999999
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 9.367
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 21.183
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 43.875
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 65.005
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 83.017
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 32.232
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 37.308
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackGisRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 11.350999999999999
|
||
|
|
- type: map_at_10
|
||
|
|
value: 14.953
|
||
|
|
- type: map_at_100
|
||
|
|
value: 15.623000000000001
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 15.716
|
||
|
|
- type: map_at_3
|
||
|
|
value: 13.603000000000002
|
||
|
|
- type: map_at_5
|
||
|
|
value: 14.343
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 12.429
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 17.319000000000003
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 20.990000000000002
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 23.899
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 14.605
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 15.89
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 12.429
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 2.701
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.48700000000000004
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.078
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 6.026
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 4.3839999999999995
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 11.350999999999999
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 23.536
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 40.942
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 64.05
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 16.195
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 19.264
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackMathematicaRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 8.08
|
||
|
|
- type: map_at_10
|
||
|
|
value: 11.691
|
||
|
|
- type: map_at_100
|
||
|
|
value: 12.312
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 12.439
|
||
|
|
- type: map_at_3
|
||
|
|
value: 10.344000000000001
|
||
|
|
- type: map_at_5
|
||
|
|
value: 10.996
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 10.697
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 14.48
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 18.160999999999998
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 21.886
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 11.872
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 12.834000000000001
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 10.697
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 2.811
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.551
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.10200000000000001
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 5.804
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 4.154
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 8.08
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 20.235
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 37.525999999999996
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 65.106
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 12.803999999999998
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 15.498999999999999
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackPhysicsRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 13.908999999999999
|
||
|
|
- type: map_at_10
|
||
|
|
value: 19.256
|
||
|
|
- type: map_at_100
|
||
|
|
value: 20.286
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 20.429
|
||
|
|
- type: map_at_3
|
||
|
|
value: 17.399
|
||
|
|
- type: map_at_5
|
||
|
|
value: 18.398999999999997
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 17.421
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 23.105999999999998
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 28.128999999999998
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 31.480999999999998
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 19.789
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 21.237000000000002
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 17.421
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 4.331
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.839
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.131
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 9.4
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 6.776
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 13.908999999999999
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 31.086999999999996
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 52.946000000000005
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 76.546
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 21.351
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 25.264999999999997
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackProgrammersRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 12.598
|
||
|
|
- type: map_at_10
|
||
|
|
value: 17.304
|
||
|
|
- type: map_at_100
|
||
|
|
value: 18.209
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 18.328
|
||
|
|
- type: map_at_3
|
||
|
|
value: 15.784
|
||
|
|
- type: map_at_5
|
||
|
|
value: 16.669999999999998
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 15.867999999999999
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 20.623
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 25.093
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 28.498
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 17.912
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 19.198
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 15.867999999999999
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.7670000000000003
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.716
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.11800000000000001
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 8.638
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 6.21
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 12.598
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 27.144000000000002
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 46.817
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 71.86099999999999
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 19.231
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 22.716
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 12.738416666666666
|
||
|
|
- type: map_at_10
|
||
|
|
value: 17.235916666666668
|
||
|
|
- type: map_at_100
|
||
|
|
value: 18.063333333333333
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 18.18433333333333
|
||
|
|
- type: map_at_3
|
||
|
|
value: 15.74775
|
||
|
|
- type: map_at_5
|
||
|
|
value: 16.57825
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 15.487416666666665
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 20.290166666666668
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 24.41291666666666
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 27.586333333333336
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 17.622083333333332
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 18.859916666666667
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 15.487416666666665
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.6226666666666665
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.6820833333333334
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.11216666666666666
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 8.163749999999999
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 5.865416666666667
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 12.738416666666666
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 26.599416666666663
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 45.41258333333334
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 68.7565
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 19.008166666666668
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 22.24991666666667
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackStatsRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 12.307
|
||
|
|
- type: map_at_10
|
||
|
|
value: 15.440000000000001
|
||
|
|
- type: map_at_100
|
||
|
|
value: 16.033
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 16.14
|
||
|
|
- type: map_at_3
|
||
|
|
value: 14.393
|
||
|
|
- type: map_at_5
|
||
|
|
value: 14.856
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 14.571000000000002
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 17.685000000000002
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 20.882
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 23.888
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 15.739
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 16.391
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 14.571000000000002
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 2.883
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.49100000000000005
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.08
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 7.0040000000000004
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 4.693
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 12.307
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 22.566
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 37.469
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 60.550000000000004
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 16.742
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 18.634
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackTexRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 6.496
|
||
|
|
- type: map_at_10
|
||
|
|
value: 9.243
|
||
|
|
- type: map_at_100
|
||
|
|
value: 9.841
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 9.946000000000002
|
||
|
|
- type: map_at_3
|
||
|
|
value: 8.395
|
||
|
|
- type: map_at_5
|
||
|
|
value: 8.872
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 8.224
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 11.24
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 14.524999999999999
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 17.686
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 9.617
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 10.37
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 8.224
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 2.0820000000000003
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.443
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.08499999999999999
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 4.623
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 3.331
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 6.496
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 15.310000000000002
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 30.680000000000003
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 54.335
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 10.691
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 12.687999999999999
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackUnixRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 13.843
|
||
|
|
- type: map_at_10
|
||
|
|
value: 17.496000000000002
|
||
|
|
- type: map_at_100
|
||
|
|
value: 18.304000000000002
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 18.426000000000002
|
||
|
|
- type: map_at_3
|
||
|
|
value: 16.225
|
||
|
|
- type: map_at_5
|
||
|
|
value: 16.830000000000002
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 16.698
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 20.301
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 24.523
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 27.784
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 17.822
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 18.794
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 16.698
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.3579999999999997
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.618
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.101
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 7.898
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 5.428999999999999
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 13.843
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 25.887999999999998
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 45.028
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 68.991
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 18.851000000000003
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 21.462
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackWebmastersRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 13.757
|
||
|
|
- type: map_at_10
|
||
|
|
value: 19.27
|
||
|
|
- type: map_at_100
|
||
|
|
value: 20.461
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 20.641000000000002
|
||
|
|
- type: map_at_3
|
||
|
|
value: 17.865000000000002
|
||
|
|
- type: map_at_5
|
||
|
|
value: 18.618000000000002
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 16.996
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 22.774
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 27.675
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 31.145
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 20.691000000000003
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 21.741
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 16.996
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 4.545
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.036
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.185
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 10.145
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 7.391
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 13.757
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 28.233999999999998
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 51.05499999999999
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 75.35300000000001
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 21.794
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 24.614
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: BeIR/cqadupstack
|
||
|
|
name: MTEB CQADupstackWordpressRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2b9f5791698b5be7bc5e10535c8690f20043c3db
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 9.057
|
||
|
|
- type: map_at_10
|
||
|
|
value: 12.720999999999998
|
||
|
|
- type: map_at_100
|
||
|
|
value: 13.450000000000001
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 13.564000000000002
|
||
|
|
- type: map_at_3
|
||
|
|
value: 11.34
|
||
|
|
- type: map_at_5
|
||
|
|
value: 12.245000000000001
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 9.797
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 15.091
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 18.886
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 22.29
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 12.365
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 13.931
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 9.797
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 2.477
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.466
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.082
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 5.299
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 4.067
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 9.057
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 21.319
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 38.999
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 65.374
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 14.331
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 17.916999999999998
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: climate-fever
|
||
|
|
name: MTEB ClimateFEVER
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 392b78eb68c07badcd7c2cd8f39af108375dfcce
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 3.714
|
||
|
|
- type: map_at_10
|
||
|
|
value: 6.926
|
||
|
|
- type: map_at_100
|
||
|
|
value: 7.879
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 8.032
|
||
|
|
- type: map_at_3
|
||
|
|
value: 5.504
|
||
|
|
- type: map_at_5
|
||
|
|
value: 6.357
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 8.86
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 11.007
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 16.154
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 19.668
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 8.103
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 9.456000000000001
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 8.86
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.7199999999999998
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.9169999999999999
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.156
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 6.254
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 5.380999999999999
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 3.714
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 14.382
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 33.166000000000004
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 53.444
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 7.523000000000001
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 10.91
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: dbpedia-entity
|
||
|
|
name: MTEB DBPedia
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: f097057d03ed98220bc7309ddb10b71a54d667d6
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 1.764
|
||
|
|
- type: map_at_10
|
||
|
|
value: 3.8600000000000003
|
||
|
|
- type: map_at_100
|
||
|
|
value: 5.457
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 5.938000000000001
|
||
|
|
- type: map_at_3
|
||
|
|
value: 2.667
|
||
|
|
- type: map_at_5
|
||
|
|
value: 3.2199999999999998
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 14.000000000000002
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 10.868
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 12.866
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 17.43
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 11.943
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 11.66
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 19.25
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 10.274999999999999
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 3.527
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.9119999999999999
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 14.917
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 13.5
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 1.764
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 6.609
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 17.616
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 33.085
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 3.115
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 4.605
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/emotion
|
||
|
|
name: MTEB EmotionClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 829147f8f75a25f005913200eb5ed41fae320aa1
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.225
|
||
|
|
- type: f1
|
||
|
|
value: 37.563516542112104
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: fever
|
||
|
|
name: MTEB FEVER
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 1429cf27e393599b8b359b9b72c666f96b2525f9
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 11.497
|
||
|
|
- type: map_at_10
|
||
|
|
value: 15.744
|
||
|
|
- type: map_at_100
|
||
|
|
value: 16.3
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 16.365
|
||
|
|
- type: map_at_3
|
||
|
|
value: 14.44
|
||
|
|
- type: map_at_5
|
||
|
|
value: 15.18
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 12.346
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 18.398999999999997
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 21.399
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 23.442
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 15.695
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 17.027
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 12.346
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 2.798
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.445
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.063
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 6.586
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 4.665
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 11.497
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 25.636
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 39.894
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 56.181000000000004
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 18.273
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 21.474
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: fiqa
|
||
|
|
name: MTEB FiQA2018
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 41b686a7f28c59bcaaa5791efd47c67c8ebe28be
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 3.637
|
||
|
|
- type: map_at_10
|
||
|
|
value: 6.084
|
||
|
|
- type: map_at_100
|
||
|
|
value: 6.9190000000000005
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 7.1080000000000005
|
||
|
|
- type: map_at_3
|
||
|
|
value: 5.071
|
||
|
|
- type: map_at_5
|
||
|
|
value: 5.5649999999999995
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 7.407
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 8.94
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 13.594999999999999
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 18.29
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 7.393
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 7.854
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 7.407
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 2.778
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.75
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.154
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 5.144
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 3.981
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 3.637
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 11.821
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 30.18
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 60.207
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 6.839
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 8.649
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: hotpotqa
|
||
|
|
name: MTEB HotpotQA
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 766870b35a1b9ca65e67a0d1913899973551fc6c
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 9.676
|
||
|
|
- type: map_at_10
|
||
|
|
value: 13.350999999999999
|
||
|
|
- type: map_at_100
|
||
|
|
value: 13.919
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 14.01
|
||
|
|
- type: map_at_3
|
||
|
|
value: 12.223
|
||
|
|
- type: map_at_5
|
||
|
|
value: 12.812000000000001
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 19.352
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 17.727
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 20.837
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 23.412
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 15.317
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 16.436
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 19.352
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.993
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.651
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.1
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 9.669
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 6.69
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 9.676
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 19.966
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 32.573
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 49.905
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 14.504
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 16.725
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/imdb
|
||
|
|
name: MTEB ImdbClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8d743909f834c38949e8323a8a6ce8721ea6c7f4
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 62.895999999999994
|
||
|
|
- type: ap
|
||
|
|
value: 58.47769349850157
|
||
|
|
- type: f1
|
||
|
|
value: 62.67885149592086
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: msmarco
|
||
|
|
name: MTEB MSMARCO
|
||
|
|
config: default
|
||
|
|
split: validation
|
||
|
|
revision: e6838a846e2408f22cf5cc337ebc83e0bcf77849
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 2.88
|
||
|
|
- type: map_at_10
|
||
|
|
value: 4.914000000000001
|
||
|
|
- type: map_at_100
|
||
|
|
value: 5.459
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 5.538
|
||
|
|
- type: map_at_3
|
||
|
|
value: 4.087
|
||
|
|
- type: map_at_5
|
||
|
|
value: 4.518
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 2.937
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 6.273
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 9.426
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 12.033000000000001
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 4.513
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 5.292
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 2.937
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 1.089
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.27699999999999997
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.051000000000000004
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 1.9290000000000003
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 1.547
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 2.88
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 10.578
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 26.267000000000003
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 47.589999999999996
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 5.673
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 7.545
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (en)
|
||
|
|
config: en
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 81.51846785225717
|
||
|
|
- type: f1
|
||
|
|
value: 81.648869152345
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (de)
|
||
|
|
config: de
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 60.37475345167653
|
||
|
|
- type: f1
|
||
|
|
value: 58.452649375517026
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (es)
|
||
|
|
config: es
|
||
|
|
split: test
|
||
|
|
revision: a7e2a951126a26fc8c6a69f835f33a346ba259e3
|
||
|
|
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/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (fr)
|
||
|
|
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|
||
|
|
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|
||
|
|
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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/mtop_domain
|
||
|
|
name: MTEB MTOPDomainClassification (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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|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/mtop_domain
|
||
|
|
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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/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (en)
|
||
|
|
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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/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (de)
|
||
|
|
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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/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (es)
|
||
|
|
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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/mtop_intent
|
||
|
|
name: MTEB MTOPIntentClassification (fr)
|
||
|
|
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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/mtop_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/mtop_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 (am)
|
||
|
|
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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
|
||
|
|
name: MTEB MassiveIntentClassification (de)
|
||
|
|
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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
|
||
|
|
name: MTEB MassiveIntentClassification (en)
|
||
|
|
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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 (es)
|
||
|
|
config: es
|
||
|
|
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|
||
|
|
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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:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (fa)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (fi)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (fr)
|
||
|
|
config: fr
|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (he)
|
||
|
|
config: he
|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (hi)
|
||
|
|
config: hi
|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (hu)
|
||
|
|
config: hu
|
||
|
|
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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 (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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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (id)
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (is)
|
||
|
|
config: is
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (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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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (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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|
||
|
|
- task:
|
||
|
|
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|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (jv)
|
||
|
|
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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:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
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|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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 (ko)
|
||
|
|
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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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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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 (ml)
|
||
|
|
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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 (mn)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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_intent
|
||
|
|
name: MTEB MassiveIntentClassification (ms)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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_intent
|
||
|
|
name: MTEB MassiveIntentClassification (my)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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_intent
|
||
|
|
name: MTEB MassiveIntentClassification (nb)
|
||
|
|
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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:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (nl)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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_intent
|
||
|
|
name: MTEB MassiveIntentClassification (pl)
|
||
|
|
config: pl
|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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_intent
|
||
|
|
name: MTEB MassiveIntentClassification (pt)
|
||
|
|
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|
||
|
|
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|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (ro)
|
||
|
|
config: ro
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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_intent
|
||
|
|
name: MTEB MassiveIntentClassification (ru)
|
||
|
|
config: ru
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
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_intent
|
||
|
|
name: MTEB MassiveIntentClassification (sl)
|
||
|
|
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|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (sq)
|
||
|
|
config: sq
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (sv)
|
||
|
|
config: sv
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (sw)
|
||
|
|
config: sw
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 38.328850033624754
|
||
|
|
- type: f1
|
||
|
|
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|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (ta)
|
||
|
|
config: ta
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 19.031607262945528
|
||
|
|
- type: f1
|
||
|
|
value: 18.66510306325761
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (te)
|
||
|
|
config: te
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 19.38466711499664
|
||
|
|
- type: f1
|
||
|
|
value: 19.186399376652535
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (th)
|
||
|
|
config: th
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
value: 34.20383086009429
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (tl)
|
||
|
|
config: tl
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
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|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
value: 39.361500249640414
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (tr)
|
||
|
|
config: tr
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 38.860121049092136
|
||
|
|
- type: f1
|
||
|
|
value: 37.81916859627235
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (ur)
|
||
|
|
config: ur
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 27.834566240753194
|
||
|
|
- type: f1
|
||
|
|
value: 26.898389386106487
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (vi)
|
||
|
|
config: vi
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
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|
||
|
|
- type: f1
|
||
|
|
value: 38.280026442024415
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (zh-CN)
|
||
|
|
config: zh-CN
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 45.78009414929387
|
||
|
|
- type: f1
|
||
|
|
value: 44.21526778674136
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_intent
|
||
|
|
name: MTEB MassiveIntentClassification (zh-TW)
|
||
|
|
config: zh-TW
|
||
|
|
split: test
|
||
|
|
revision: 072a486a144adf7f4479a4a0dddb2152e161e1ea
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.32010759919301
|
||
|
|
- type: f1
|
||
|
|
value: 42.25772977490916
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (af)
|
||
|
|
config: af
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.24546065904506
|
||
|
|
- type: f1
|
||
|
|
value: 38.79924050989544
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (am)
|
||
|
|
config: am
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 25.68930733019502
|
||
|
|
- type: f1
|
||
|
|
value: 25.488166279162712
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ar)
|
||
|
|
config: ar
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 32.39744451916611
|
||
|
|
- type: f1
|
||
|
|
value: 31.863029579075775
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (az)
|
||
|
|
config: az
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.53127101546738
|
||
|
|
- type: f1
|
||
|
|
value: 39.707079033948936
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (bn)
|
||
|
|
config: bn
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 27.23268325487559
|
||
|
|
- type: f1
|
||
|
|
value: 26.443653281858793
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (cy)
|
||
|
|
config: cy
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 38.69872225958305
|
||
|
|
- type: f1
|
||
|
|
value: 36.55930387892567
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (da)
|
||
|
|
config: da
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 44.75453934095494
|
||
|
|
- type: f1
|
||
|
|
value: 42.87356484024154
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (de)
|
||
|
|
config: de
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 41.355077336919976
|
||
|
|
- type: f1
|
||
|
|
value: 39.82365179458047
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (el)
|
||
|
|
config: el
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 38.43981170141224
|
||
|
|
- type: f1
|
||
|
|
value: 37.02538368296387
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (en)
|
||
|
|
config: en
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 66.33826496301278
|
||
|
|
- type: f1
|
||
|
|
value: 65.89634765029932
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (es)
|
||
|
|
config: es
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 44.17955615332885
|
||
|
|
- type: f1
|
||
|
|
value: 43.10228811620319
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (fa)
|
||
|
|
config: fa
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 34.82851378614661
|
||
|
|
- type: f1
|
||
|
|
value: 33.95952441502803
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (fi)
|
||
|
|
config: fi
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.561533288500335
|
||
|
|
- type: f1
|
||
|
|
value: 38.04939011733627
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (fr)
|
||
|
|
config: fr
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 45.917955615332886
|
||
|
|
- type: f1
|
||
|
|
value: 44.65741971572902
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (he)
|
||
|
|
config: he
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 32.08473436449227
|
||
|
|
- type: f1
|
||
|
|
value: 29.53932929808133
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (hi)
|
||
|
|
config: hi
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 28.369199731002016
|
||
|
|
- type: f1
|
||
|
|
value: 27.52902837981212
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (hu)
|
||
|
|
config: hu
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 39.49226630800269
|
||
|
|
- type: f1
|
||
|
|
value: 37.3272340470504
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (hy)
|
||
|
|
config: hy
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 25.904505716207133
|
||
|
|
- type: f1
|
||
|
|
value: 24.547396574853444
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (id)
|
||
|
|
config: id
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.95830531271016
|
||
|
|
- type: f1
|
||
|
|
value: 40.177843177422226
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (is)
|
||
|
|
config: is
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 38.564223268325485
|
||
|
|
- type: f1
|
||
|
|
value: 37.35307758495248
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (it)
|
||
|
|
config: it
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 46.58708809683928
|
||
|
|
- type: f1
|
||
|
|
value: 44.103900526804985
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ja)
|
||
|
|
config: ja
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 46.24747814391393
|
||
|
|
- type: f1
|
||
|
|
value: 45.4107101796664
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (jv)
|
||
|
|
config: jv
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 39.6570275722932
|
||
|
|
- type: f1
|
||
|
|
value: 38.82737576832412
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ka)
|
||
|
|
config: ka
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 25.279085406859448
|
||
|
|
- type: f1
|
||
|
|
value: 23.662661686788493
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (km)
|
||
|
|
config: km
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 28.97108271687962
|
||
|
|
- type: f1
|
||
|
|
value: 27.195758324189246
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (kn)
|
||
|
|
config: kn
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 19.27370544720915
|
||
|
|
- type: f1
|
||
|
|
value: 18.694271924323637
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ko)
|
||
|
|
config: ko
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 35.729657027572294
|
||
|
|
- type: f1
|
||
|
|
value: 34.38287006177308
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (lv)
|
||
|
|
config: lv
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 39.57296570275723
|
||
|
|
- type: f1
|
||
|
|
value: 38.074945140886925
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ml)
|
||
|
|
config: ml
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 19.895763281775388
|
||
|
|
- type: f1
|
||
|
|
value: 20.00931364846829
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (mn)
|
||
|
|
config: mn
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 32.431069266980494
|
||
|
|
- type: f1
|
||
|
|
value: 31.395958664782576
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ms)
|
||
|
|
config: ms
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.32347007397445
|
||
|
|
- type: f1
|
||
|
|
value: 40.81374026314701
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (my)
|
||
|
|
config: my
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 20.864156018829856
|
||
|
|
- type: f1
|
||
|
|
value: 20.409870408935436
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (nb)
|
||
|
|
config: nb
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.47074646940148
|
||
|
|
- type: f1
|
||
|
|
value: 39.19044149415904
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (nl)
|
||
|
|
config: nl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 43.591123066577
|
||
|
|
- type: f1
|
||
|
|
value: 41.43420363064241
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (pl)
|
||
|
|
config: pl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 41.876260928043045
|
||
|
|
- type: f1
|
||
|
|
value: 41.192117676667614
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (pt)
|
||
|
|
config: pt
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 46.30800268997983
|
||
|
|
- type: f1
|
||
|
|
value: 45.25536730126799
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ro)
|
||
|
|
config: ro
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 42.525218560860786
|
||
|
|
- type: f1
|
||
|
|
value: 41.02418109296485
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ru)
|
||
|
|
config: ru
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 35.94821788836584
|
||
|
|
- type: f1
|
||
|
|
value: 35.08598314806566
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sl)
|
||
|
|
config: sl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 38.69199731002017
|
||
|
|
- type: f1
|
||
|
|
value: 37.68119408674127
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sq)
|
||
|
|
config: sq
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.474108944182916
|
||
|
|
- type: f1
|
||
|
|
value: 39.480530387013594
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sv)
|
||
|
|
config: sv
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 41.523201075991935
|
||
|
|
- type: f1
|
||
|
|
value: 40.20097996024383
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (sw)
|
||
|
|
config: sw
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 39.54942837928716
|
||
|
|
- type: f1
|
||
|
|
value: 38.185561243338064
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ta)
|
||
|
|
config: ta
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 22.8782784129119
|
||
|
|
- type: f1
|
||
|
|
value: 22.239467186721456
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (te)
|
||
|
|
config: te
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 20.51445864156019
|
||
|
|
- type: f1
|
||
|
|
value: 19.999047885530217
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (th)
|
||
|
|
config: th
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 34.92602555480834
|
||
|
|
- type: f1
|
||
|
|
value: 33.24016717215723
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (tl)
|
||
|
|
config: tl
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 40.74983187626093
|
||
|
|
- type: f1
|
||
|
|
value: 39.30274328728882
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (tr)
|
||
|
|
config: tr
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 39.06859448554136
|
||
|
|
- type: f1
|
||
|
|
value: 39.21542039662971
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (ur)
|
||
|
|
config: ur
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 29.747814391392062
|
||
|
|
- type: f1
|
||
|
|
value: 28.261836892220447
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/amazon_massive_scenario
|
||
|
|
name: MTEB MassiveScenarioClassification (vi)
|
||
|
|
config: vi
|
||
|
|
split: test
|
||
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 38.02286482851379
|
||
|
|
- type: f1
|
||
|
|
value: 37.8742438608697
|
||
|
|
- 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: 48.550773369199725
|
||
|
|
- type: f1
|
||
|
|
value: 46.7399625882649
|
||
|
|
- 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: 45.17821116341628
|
||
|
|
- type: f1
|
||
|
|
value: 44.84809741811729
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/medrxiv-clustering-p2p
|
||
|
|
name: MTEB MedrxivClusteringP2P
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: dcefc037ef84348e49b0d29109e891c01067226b
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 28.301902023313875
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/medrxiv-clustering-s2s
|
||
|
|
name: MTEB MedrxivClusteringS2S
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 3cd0e71dfbe09d4de0f9e5ecba43e7ce280959dc
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 24.932123582259287
|
||
|
|
- task:
|
||
|
|
type: Reranking
|
||
|
|
dataset:
|
||
|
|
type: mteb/mind_small
|
||
|
|
name: MTEB MindSmallReranking
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
||
|
|
metrics:
|
||
|
|
- type: map
|
||
|
|
value: 29.269341041468326
|
||
|
|
- type: mrr
|
||
|
|
value: 30.132140876875717
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: nfcorpus
|
||
|
|
name: MTEB NFCorpus
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 7eb63cc0c1eb59324d709ebed25fcab851fa7610
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 1.2269999999999999
|
||
|
|
- type: map_at_10
|
||
|
|
value: 3.081
|
||
|
|
- type: map_at_100
|
||
|
|
value: 4.104
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 4.989
|
||
|
|
- type: map_at_3
|
||
|
|
value: 2.221
|
||
|
|
- type: map_at_5
|
||
|
|
value: 2.535
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 15.015
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 11.805
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 12.452
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 22.284000000000002
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 13.257
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 12.199
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 16.409000000000002
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 9.102
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 3.678
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 1.609
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 12.797
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 10.464
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 1.2269999999999999
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 5.838
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 15.716
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 48.837
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 2.828
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 3.697
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: nq
|
||
|
|
name: MTEB NQ
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 6062aefc120bfe8ece5897809fb2e53bfe0d128c
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 3.515
|
||
|
|
- type: map_at_10
|
||
|
|
value: 5.884
|
||
|
|
- type: map_at_100
|
||
|
|
value: 6.510000000000001
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 6.598999999999999
|
||
|
|
- type: map_at_3
|
||
|
|
value: 4.8919999999999995
|
||
|
|
- type: map_at_5
|
||
|
|
value: 5.391
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 4.056
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 7.6259999999999994
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 11.08
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 13.793
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 5.537
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 6.45
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 4.056
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 1.4569999999999999
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.347
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.061
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 2.6069999999999998
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 2.086
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 3.515
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 12.312
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 28.713
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 50.027
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 6.701
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 8.816
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: quora
|
||
|
|
name: MTEB QuoraRetrieval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 6205996560df11e3a3da9ab4f926788fc30a7db4
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 61.697
|
||
|
|
- type: map_at_10
|
||
|
|
value: 74.20400000000001
|
||
|
|
- type: map_at_100
|
||
|
|
value: 75.023
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 75.059
|
||
|
|
- type: map_at_3
|
||
|
|
value: 71.265
|
||
|
|
- type: map_at_5
|
||
|
|
value: 73.001
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 70.95
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 78.96
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 81.26
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 81.679
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 75.246
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 77.092
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 70.95
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 11.998000000000001
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.451
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.154
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 32.629999999999995
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 21.573999999999998
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 61.697
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 88.23299999999999
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 96.961
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 99.401
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 77.689
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 82.745
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/reddit-clustering
|
||
|
|
name: MTEB RedditClustering
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: b2805658ae38990172679479369a78b86de8c390
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 33.75741018380938
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/reddit-clustering-p2p
|
||
|
|
name: MTEB RedditClusteringP2P
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 41.00799910099266
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: scidocs
|
||
|
|
name: MTEB SCIDOCS
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 5c59ef3e437a0a9651c8fe6fde943e7dce59fba5
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 1.72
|
||
|
|
- type: map_at_10
|
||
|
|
value: 3.8240000000000003
|
||
|
|
- type: map_at_100
|
||
|
|
value: 4.727
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 4.932
|
||
|
|
- type: map_at_3
|
||
|
|
value: 2.867
|
||
|
|
- type: map_at_5
|
||
|
|
value: 3.3230000000000004
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 8.5
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 7.133000000000001
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 11.911
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 16.962
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 6.763
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 5.832
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 8.5
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 3.6799999999999997
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 1.0670000000000002
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.22999999999999998
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 6.2330000000000005
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 5.0200000000000005
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 1.72
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 7.487000000000001
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 21.683
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 46.688
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 3.798
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 5.113
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sickr-sts
|
||
|
|
name: MTEB SICK-R
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 80.96286245858941
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 74.57093488947429
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 75.50377970259402
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 71.7498004622999
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 75.3256836091382
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 71.80676733410375
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts12-sts
|
||
|
|
name: MTEB STS12
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: fdf84275bb8ce4b49c971d02e84dd1abc677a50f
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 80.20938796088339
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 69.16914010333394
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 79.33415250097545
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 71.46707320292745
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 79.73669837981976
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 71.87919511134902
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts13-sts
|
||
|
|
name: MTEB STS13
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 1591bfcbe8c69d4bf7fe2a16e2451017832cafb9
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 76.401935081936
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 77.23446219694267
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 74.61017160439877
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 75.85871531365609
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 74.83034779539724
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 75.95948993588429
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts14-sts
|
||
|
|
name: MTEB STS14
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: e2125984e7df8b7871f6ae9949cf6b6795e7c54b
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 75.35551963935667
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 70.98892671568665
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 73.24467338564628
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 71.97533151639425
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 73.2776559359938
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 72.2221421456084
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts15-sts
|
||
|
|
name: MTEB STS15
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 1cd7298cac12a96a373b6a2f18738bb3e739a9b6
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 79.05293131911803
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 79.7379478259805
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 78.17016171851057
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 78.76038607583105
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 78.4994607532332
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 79.13026720132872
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/sts16-sts
|
||
|
|
name: MTEB STS16
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 360a0b2dff98700d09e634a01e1cc1624d3e42cd
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 76.04750373932828
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 77.93230986462234
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 75.8320302521164
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 76.83154481579385
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 75.98713517720608
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 76.95479705521507
|
||
|
|
- 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: 43.0464619152799
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 45.65606588928089
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 45.69437788355499
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 45.08552742346606
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 45.87166698903681
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 45.155963016434164
|
||
|
|
- 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: 53.27469278912148
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 54.16113207623789
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 55.97026429327157
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 54.71320909074608
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 56.12511774278802
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 55.22875659158676
|
||
|
|
- 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: 1.5482997790039945
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 1.7208386347363582
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 6.727915670345885
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 6.112826908474543
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 4.94386093060865
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 5.018174110623732
|
||
|
|
- 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: 27.5420218362265
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 25.483838431031007
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 6.268684143856358
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 5.877961421091679
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 2.667237739227861
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 2.5683839956554775
|
||
|
|
- 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: 85.32029757646663
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 87.32720847297225
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 81.12594485791254
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 81.1531079489332
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 81.32899414704019
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 81.3897040261192
|
||
|
|
- 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: 4.37162299241808
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 2.0879072561774543
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 3.0725243785454595
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 5.3721339279483535
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 4.867795293367359
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 7.9397069840018775
|
||
|
|
- 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: 20.306030448858603
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 21.93220782551375
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 3.878631934602361
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 5.171796902725965
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 7.13020644036815
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 7.707315591498748
|
||
|
|
- 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: 66.81873207478459
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 67.80273445636502
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 70.60654682977268
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 69.4566208379486
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 70.9548461896642
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 69.78323323058773
|
||
|
|
- 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: 21.366487281202602
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 18.90627528698481
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 2.3390998579461995
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 4.151213674012541
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 2.234831868844863
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 4.555291328501442
|
||
|
|
- 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: 20.73153177251085
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 16.3855949033176
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 8.734648741714238
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 10.75672244732182
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 7.536654126608877
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 8.330065460047296
|
||
|
|
- 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: 26.618435024084253
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 23.488974089577816
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 3.1310350304707866
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 3.1242598481634665
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 1.1096752982707008
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 1.4591693078765848
|
||
|
|
- 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: 59.17638344661753
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 59.636760071130865
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 56.68753290255448
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 57.613280258574484
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 56.92312052723706
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 57.76774918418505
|
||
|
|
- 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: 10.322254716987457
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 11.0033092996862
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 6.006926471684402
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 10.972140246688376
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 5.933298751861177
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 11.030111585680233
|
||
|
|
- 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: 43.38031880545056
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 43.05358201410913
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 42.72327196362553
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 42.55163899944477
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 44.01557499780587
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 43.12473221615855
|
||
|
|
- 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: 4.291290504363136
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 14.912727487893479
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 3.2855132112394485
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 16.575204463951025
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 3.2398776723465814
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 16.841985772913855
|
||
|
|
- 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: 4.102739498555817
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 3.818238576547375
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 2.3181033496453556
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 5.1826811802703565
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 4.8006179265256455
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 6.738401400306252
|
||
|
|
- 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: 2.38765395226737
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 5.173899391162327
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 3.0710263954769825
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 5.04922290903982
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 3.7826314109861703
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 5.042238232170212
|
||
|
|
- 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: 7.6735490672676345
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 3.3631215256878892
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 4.64331702652217
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 3.6129205171334324
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 4.011231736076196
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 3.233959766173701
|
||
|
|
- 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: 0.06167614416104335
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 6.521685391703255
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 4.884572579069032
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 5.59058032900239
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 6.139838096573897
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 5.0060884837066215
|
||
|
|
- 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: 53.19490347682836
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 54.56055727079527
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 52.55574442039842
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 52.94640154371587
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 53.275993040454196
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 53.174561503510155
|
||
|
|
- 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: 51.151158530122146
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 53.926925081736655
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 44.55629287737235
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 46.222372143731384
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 42.831322151459005
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 45.70991764985799
|
||
|
|
- 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: 30.36194885126792
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 32.739632941633836
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 29.83135800843496
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 31.114406001326923
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 31.264502938148286
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 33.3112040753475
|
||
|
|
- 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: 35.23883630335275
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 33.67797082086704
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 34.878640693874544
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 33.525189235133496
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 34.22761246389947
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 32.713218497609176
|
||
|
|
- 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: 19.809302548119547
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 20.540370202115497
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 23.006803962133016
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 22.96270653079511
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 25.40168317585851
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 25.421508137540865
|
||
|
|
- 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: 20.393500955410488
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 26.705713693011603
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 18.168376767724585
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 19.260826601517245
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 18.302619990671527
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 19.4691037846159
|
||
|
|
- 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: 36.58919983075148
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 35.989722099974045
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 41.045112547574206
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 39.322301680629835
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 41.36802503205308
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 40.76270030293609
|
||
|
|
- 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: 26.350936227950083
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 25.108218032460343
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 28.61681094744849
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 27.350990203943592
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 30.527977072984513
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 26.403339990640813
|
||
|
|
- 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: 20.056269198600322
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 20.939990379746757
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 18.942765438962198
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 21.709842967237446
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 23.643909798655123
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 23.58828328071473
|
||
|
|
- 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: 19.563740271419395
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 5.634361698190111
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 16.833522619239474
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 16.903085094570333
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 5.805392712660814
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 16.903085094570333
|
||
|
|
- task:
|
||
|
|
type: STS
|
||
|
|
dataset:
|
||
|
|
type: mteb/stsbenchmark-sts
|
||
|
|
name: MTEB STSBenchmark
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8913289635987208e6e7c72789e4be2fe94b6abd
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 80.00905671833966
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 79.54269211027272
|
||
|
|
- type: euclidean_pearson
|
||
|
|
value: 79.51954544247441
|
||
|
|
- type: euclidean_spearman
|
||
|
|
value: 78.93670303434288
|
||
|
|
- type: manhattan_pearson
|
||
|
|
value: 79.47610653340678
|
||
|
|
- type: manhattan_spearman
|
||
|
|
value: 79.07344156719613
|
||
|
|
- task:
|
||
|
|
type: Reranking
|
||
|
|
dataset:
|
||
|
|
type: mteb/scidocs-reranking
|
||
|
|
name: MTEB SciDocsRR
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 56a6d0140cf6356659e2a7c1413286a774468d44
|
||
|
|
metrics:
|
||
|
|
- type: map
|
||
|
|
value: 68.35710819755543
|
||
|
|
- type: mrr
|
||
|
|
value: 88.05442832403617
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: scifact
|
||
|
|
name: MTEB SciFact
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: a75ae049398addde9b70f6b268875f5cbce99089
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 21.556
|
||
|
|
- type: map_at_10
|
||
|
|
value: 27.982000000000003
|
||
|
|
- type: map_at_100
|
||
|
|
value: 28.937
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 29.058
|
||
|
|
- type: map_at_3
|
||
|
|
value: 25.644
|
||
|
|
- type: map_at_5
|
||
|
|
value: 26.996
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 23.333000000000002
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 31.787
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 36.647999999999996
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 39.936
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 27.299
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 29.659000000000002
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 23.333000000000002
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 4.867
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 0.743
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 0.10200000000000001
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 11.333
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 8.133
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 21.556
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 42.333
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 65.706
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 91.489
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 30.361
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 36.222
|
||
|
|
- task:
|
||
|
|
type: PairClassification
|
||
|
|
dataset:
|
||
|
|
type: mteb/sprintduplicatequestions-pairclassification
|
||
|
|
name: MTEB SprintDuplicateQuestions
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 5a8256d0dff9c4bd3be3ba3e67e4e70173f802ea
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_accuracy
|
||
|
|
value: 99.49306930693069
|
||
|
|
- type: cos_sim_ap
|
||
|
|
value: 77.7308550291728
|
||
|
|
- type: cos_sim_f1
|
||
|
|
value: 71.78978681209718
|
||
|
|
- type: cos_sim_precision
|
||
|
|
value: 71.1897738446411
|
||
|
|
- type: cos_sim_recall
|
||
|
|
value: 72.39999999999999
|
||
|
|
- type: dot_accuracy
|
||
|
|
value: 99.08118811881188
|
||
|
|
- type: dot_ap
|
||
|
|
value: 30.267748833368234
|
||
|
|
- type: dot_f1
|
||
|
|
value: 34.335201222618444
|
||
|
|
- type: dot_precision
|
||
|
|
value: 34.994807892004154
|
||
|
|
- type: dot_recall
|
||
|
|
value: 33.7
|
||
|
|
- type: euclidean_accuracy
|
||
|
|
value: 99.51683168316832
|
||
|
|
- type: euclidean_ap
|
||
|
|
value: 78.64498778235628
|
||
|
|
- type: euclidean_f1
|
||
|
|
value: 73.09149972929075
|
||
|
|
- type: euclidean_precision
|
||
|
|
value: 79.69303423848878
|
||
|
|
- type: euclidean_recall
|
||
|
|
value: 67.5
|
||
|
|
- type: manhattan_accuracy
|
||
|
|
value: 99.53168316831683
|
||
|
|
- type: manhattan_ap
|
||
|
|
value: 79.45274878693958
|
||
|
|
- type: manhattan_f1
|
||
|
|
value: 74.19863373620599
|
||
|
|
- type: manhattan_precision
|
||
|
|
value: 78.18383167220377
|
||
|
|
- type: manhattan_recall
|
||
|
|
value: 70.6
|
||
|
|
- type: max_accuracy
|
||
|
|
value: 99.53168316831683
|
||
|
|
- type: max_ap
|
||
|
|
value: 79.45274878693958
|
||
|
|
- type: max_f1
|
||
|
|
value: 74.19863373620599
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/stackexchange-clustering
|
||
|
|
name: MTEB StackExchangeClustering
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 70a89468f6dccacc6aa2b12a6eac54e74328f235
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 44.59127540530939
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/stackexchange-clustering-p2p
|
||
|
|
name: MTEB StackExchangeClusteringP2P
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: d88009ab563dd0b16cfaf4436abaf97fa3550cf0
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 28.230204578753636
|
||
|
|
- task:
|
||
|
|
type: Reranking
|
||
|
|
dataset:
|
||
|
|
type: mteb/stackoverflowdupquestions-reranking
|
||
|
|
name: MTEB StackOverflowDupQuestions
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: ef807ea29a75ec4f91b50fd4191cb4ee4589a9f9
|
||
|
|
metrics:
|
||
|
|
- type: map
|
||
|
|
value: 39.96520488022785
|
||
|
|
- type: mrr
|
||
|
|
value: 40.189248047703934
|
||
|
|
- task:
|
||
|
|
type: Summarization
|
||
|
|
dataset:
|
||
|
|
type: mteb/summeval
|
||
|
|
name: MTEB SummEval
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8753c2788d36c01fc6f05d03fe3f7268d63f9122
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_pearson
|
||
|
|
value: 30.56303767714449
|
||
|
|
- type: cos_sim_spearman
|
||
|
|
value: 30.256847004390487
|
||
|
|
- type: dot_pearson
|
||
|
|
value: 29.453520030995005
|
||
|
|
- type: dot_spearman
|
||
|
|
value: 29.561732550926777
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: trec-covid
|
||
|
|
name: MTEB TRECCOVID
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 0.11299999999999999
|
||
|
|
- type: map_at_10
|
||
|
|
value: 0.733
|
||
|
|
- type: map_at_100
|
||
|
|
value: 3.313
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 7.355
|
||
|
|
- type: map_at_3
|
||
|
|
value: 0.28200000000000003
|
||
|
|
- type: map_at_5
|
||
|
|
value: 0.414
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 42.0
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 39.31
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 26.904
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 23.778
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 42.775999999999996
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 41.554
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 48.0
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 43.0
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 27.08
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 11.014
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 48.0
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 45.6
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 0.11299999999999999
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 0.976
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 5.888
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 22.634999999999998
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 0.329
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 0.518
|
||
|
|
- task:
|
||
|
|
type: Retrieval
|
||
|
|
dataset:
|
||
|
|
type: webis-touche2020
|
||
|
|
name: MTEB Touche2020
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 527b7d77e16e343303e68cb6af11d6e18b9f7b3b
|
||
|
|
metrics:
|
||
|
|
- type: map_at_1
|
||
|
|
value: 0.645
|
||
|
|
- type: map_at_10
|
||
|
|
value: 4.1160000000000005
|
||
|
|
- type: map_at_100
|
||
|
|
value: 7.527
|
||
|
|
- type: map_at_1000
|
||
|
|
value: 8.677999999999999
|
||
|
|
- type: map_at_3
|
||
|
|
value: 1.6019999999999999
|
||
|
|
- type: map_at_5
|
||
|
|
value: 2.6
|
||
|
|
- type: ndcg_at_1
|
||
|
|
value: 10.204
|
||
|
|
- type: ndcg_at_10
|
||
|
|
value: 12.27
|
||
|
|
- type: ndcg_at_100
|
||
|
|
value: 22.461000000000002
|
||
|
|
- type: ndcg_at_1000
|
||
|
|
value: 33.543
|
||
|
|
- type: ndcg_at_3
|
||
|
|
value: 9.982000000000001
|
||
|
|
- type: ndcg_at_5
|
||
|
|
value: 11.498
|
||
|
|
- type: precision_at_1
|
||
|
|
value: 10.204
|
||
|
|
- type: precision_at_10
|
||
|
|
value: 12.245000000000001
|
||
|
|
- type: precision_at_100
|
||
|
|
value: 5.286
|
||
|
|
- type: precision_at_1000
|
||
|
|
value: 1.2630000000000001
|
||
|
|
- type: precision_at_3
|
||
|
|
value: 10.884
|
||
|
|
- type: precision_at_5
|
||
|
|
value: 13.061
|
||
|
|
- type: recall_at_1
|
||
|
|
value: 0.645
|
||
|
|
- type: recall_at_10
|
||
|
|
value: 8.996
|
||
|
|
- type: recall_at_100
|
||
|
|
value: 33.666000000000004
|
||
|
|
- type: recall_at_1000
|
||
|
|
value: 67.704
|
||
|
|
- type: recall_at_3
|
||
|
|
value: 2.504
|
||
|
|
- type: recall_at_5
|
||
|
|
value: 4.95
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/toxic_conversations_50k
|
||
|
|
name: MTEB ToxicConversationsClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 62.7862
|
||
|
|
- type: ap
|
||
|
|
value: 10.958454618347831
|
||
|
|
- type: f1
|
||
|
|
value: 48.37243417046763
|
||
|
|
- task:
|
||
|
|
type: Classification
|
||
|
|
dataset:
|
||
|
|
type: mteb/tweet_sentiment_extraction
|
||
|
|
name: MTEB TweetSentimentExtractionClassification
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 62146448f05be9e52a36b8ee9936447ea787eede
|
||
|
|
metrics:
|
||
|
|
- type: accuracy
|
||
|
|
value: 54.821731748726656
|
||
|
|
- type: f1
|
||
|
|
value: 55.14729314789282
|
||
|
|
- task:
|
||
|
|
type: Clustering
|
||
|
|
dataset:
|
||
|
|
type: mteb/twentynewsgroups-clustering
|
||
|
|
name: MTEB TwentyNewsgroupsClustering
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 091a54f9a36281ce7d6590ec8c75dd485e7e01d4
|
||
|
|
metrics:
|
||
|
|
- type: v_measure
|
||
|
|
value: 28.24295128553035
|
||
|
|
- task:
|
||
|
|
type: PairClassification
|
||
|
|
dataset:
|
||
|
|
type: mteb/twittersemeval2015-pairclassification
|
||
|
|
name: MTEB TwitterSemEval2015
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_accuracy
|
||
|
|
value: 81.5640460153782
|
||
|
|
- type: cos_sim_ap
|
||
|
|
value: 57.094095366921536
|
||
|
|
- type: cos_sim_f1
|
||
|
|
value: 55.29607083563918
|
||
|
|
- type: cos_sim_precision
|
||
|
|
value: 47.62631077216397
|
||
|
|
- type: cos_sim_recall
|
||
|
|
value: 65.91029023746702
|
||
|
|
- type: dot_accuracy
|
||
|
|
value: 78.81623651427549
|
||
|
|
- type: dot_ap
|
||
|
|
value: 47.42989400382077
|
||
|
|
- type: dot_f1
|
||
|
|
value: 51.25944584382871
|
||
|
|
- type: dot_precision
|
||
|
|
value: 42.55838271174625
|
||
|
|
- type: dot_recall
|
||
|
|
value: 64.43271767810026
|
||
|
|
- type: euclidean_accuracy
|
||
|
|
value: 80.29445073612685
|
||
|
|
- type: euclidean_ap
|
||
|
|
value: 53.42012231336148
|
||
|
|
- type: euclidean_f1
|
||
|
|
value: 51.867783563504645
|
||
|
|
- type: euclidean_precision
|
||
|
|
value: 45.4203013481364
|
||
|
|
- type: euclidean_recall
|
||
|
|
value: 60.4485488126649
|
||
|
|
- type: manhattan_accuracy
|
||
|
|
value: 80.2884901949097
|
||
|
|
- type: manhattan_ap
|
||
|
|
value: 53.43205271323232
|
||
|
|
- type: manhattan_f1
|
||
|
|
value: 52.014165559982295
|
||
|
|
- type: manhattan_precision
|
||
|
|
value: 44.796035074342356
|
||
|
|
- type: manhattan_recall
|
||
|
|
value: 62.00527704485488
|
||
|
|
- type: max_accuracy
|
||
|
|
value: 81.5640460153782
|
||
|
|
- type: max_ap
|
||
|
|
value: 57.094095366921536
|
||
|
|
- type: max_f1
|
||
|
|
value: 55.29607083563918
|
||
|
|
- task:
|
||
|
|
type: PairClassification
|
||
|
|
dataset:
|
||
|
|
type: mteb/twitterurlcorpus-pairclassification
|
||
|
|
name: MTEB TwitterURLCorpus
|
||
|
|
config: default
|
||
|
|
split: test
|
||
|
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
||
|
|
metrics:
|
||
|
|
- type: cos_sim_accuracy
|
||
|
|
value: 86.63018589668955
|
||
|
|
- type: cos_sim_ap
|
||
|
|
value: 80.51063771262909
|
||
|
|
- type: cos_sim_f1
|
||
|
|
value: 72.70810586950793
|
||
|
|
- type: cos_sim_precision
|
||
|
|
value: 71.14123627790467
|
||
|
|
- type: cos_sim_recall
|
||
|
|
value: 74.3455497382199
|
||
|
|
- type: dot_accuracy
|
||
|
|
value: 82.41743315092948
|
||
|
|
- type: dot_ap
|
||
|
|
value: 69.2393381283664
|
||
|
|
- type: dot_f1
|
||
|
|
value: 65.61346624814597
|
||
|
|
- type: dot_precision
|
||
|
|
value: 59.43260638630257
|
||
|
|
- type: dot_recall
|
||
|
|
value: 73.22913458577148
|
||
|
|
- type: euclidean_accuracy
|
||
|
|
value: 86.49435324251951
|
||
|
|
- type: euclidean_ap
|
||
|
|
value: 80.28100477250926
|
||
|
|
- type: euclidean_f1
|
||
|
|
value: 72.58242344489099
|
||
|
|
- type: euclidean_precision
|
||
|
|
value: 67.44662568576906
|
||
|
|
- type: euclidean_recall
|
||
|
|
value: 78.56482907299045
|
||
|
|
- type: manhattan_accuracy
|
||
|
|
value: 86.59525749990297
|
||
|
|
- type: manhattan_ap
|
||
|
|
value: 80.37850832566262
|
||
|
|
- type: manhattan_f1
|
||
|
|
value: 72.59435321233073
|
||
|
|
- type: manhattan_precision
|
||
|
|
value: 68.19350473612991
|
||
|
|
- type: manhattan_recall
|
||
|
|
value: 77.60240221743148
|
||
|
|
- type: max_accuracy
|
||
|
|
value: 86.63018589668955
|
||
|
|
- type: max_ap
|
||
|
|
value: 80.51063771262909
|
||
|
|
- type: max_f1
|
||
|
|
value: 72.70810586950793
|
||
|
|
---
|
||
|
|
|
||
|
|
# SGPT-125M-weightedmean-nli-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**:
|
||
|
|
|
||
|
|
`sentence_transformers.datasets.NoDuplicatesDataLoader.NoDuplicatesDataLoader` of length 8807 with parameters:
|
||
|
|
```
|
||
|
|
{'batch_size': 64}
|
||
|
|
```
|
||
|
|
|
||
|
|
**Loss**:
|
||
|
|
|
||
|
|
`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
|
||
|
|
```
|
||
|
|
{'scale': 20.0, 'similarity_fct': 'cos_sim'}
|
||
|
|
```
|
||
|
|
|
||
|
|
Parameters of the fit()-Method:
|
||
|
|
```
|
||
|
|
{
|
||
|
|
"epochs": 1,
|
||
|
|
"evaluation_steps": 880,
|
||
|
|
"evaluator": "sentence_transformers.evaluation.EmbeddingSimilarityEvaluator.EmbeddingSimilarityEvaluator",
|
||
|
|
"max_grad_norm": 1,
|
||
|
|
"optimizer_class": "<class 'transformers.optimization.AdamW'>",
|
||
|
|
"optimizer_params": {
|
||
|
|
"lr": 0.0002
|
||
|
|
},
|
||
|
|
"scheduler": "WarmupLinear",
|
||
|
|
"steps_per_epoch": null,
|
||
|
|
"warmup_steps": 881,
|
||
|
|
"weight_decay": 0.01
|
||
|
|
}
|
||
|
|
```
|
||
|
|
|
||
|
|
|
||
|
|
## Full Model Architecture
|
||
|
|
```
|
||
|
|
SentenceTransformer(
|
||
|
|
(0): Transformer({'max_seq_length': 75, '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}
|
||
|
|
}
|
||
|
|
```
|