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--- |
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tags: |
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- mteb |
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model-index: |
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- name: bge-m3 |
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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: e8379541af4e31359cca9fbcf4b00f2671dba205 |
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metrics: |
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- type: accuracy |
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value: 75.6268656716418 |
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- type: ap |
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value: 39.50276109614102 |
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- type: f1 |
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value: 70.00224623431103 |
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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: e2d317d38cd51312af73b3d32a06d1a08b442046 |
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metrics: |
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- type: accuracy |
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value: 91.013675 |
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- type: ap |
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value: 87.30227544778319 |
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- type: f1 |
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value: 91.00157923673694 |
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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: 1399c76144fd37290681b995c656ef9b2e06e26d |
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metrics: |
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- type: accuracy |
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value: 46.986000000000004 |
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- type: f1 |
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value: 44.93316837240337 |
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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: None |
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metrics: |
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- type: map_at_1 |
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value: 28.521 |
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- type: map_at_10 |
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value: 45.062999999999995 |
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- type: map_at_100 |
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value: 45.965 |
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- type: map_at_1000 |
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value: 45.972 |
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- type: map_at_3 |
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value: 40.078 |
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- type: map_at_5 |
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value: 43.158 |
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- type: mrr_at_1 |
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value: 29.232000000000003 |
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- type: mrr_at_10 |
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|
value: 45.305 |
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|
- type: mrr_at_100 |
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|
value: 46.213 |
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- type: mrr_at_1000 |
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value: 46.22 |
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- type: mrr_at_3 |
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value: 40.339000000000006 |
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- type: mrr_at_5 |
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value: 43.394 |
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|
- type: ndcg_at_1 |
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value: 28.521 |
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- type: ndcg_at_10 |
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value: 53.959999999999994 |
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- type: ndcg_at_100 |
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value: 57.691 |
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- type: ndcg_at_1000 |
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value: 57.858 |
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- type: ndcg_at_3 |
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value: 43.867 |
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- type: ndcg_at_5 |
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value: 49.38 |
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- type: precision_at_1 |
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value: 28.521 |
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- type: precision_at_10 |
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value: 8.222 |
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- type: precision_at_100 |
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value: 0.9820000000000001 |
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- type: precision_at_1000 |
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value: 0.1 |
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- type: precision_at_3 |
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value: 18.279 |
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- type: precision_at_5 |
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value: 13.627 |
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- type: recall_at_1 |
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value: 28.521 |
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- type: recall_at_10 |
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value: 82.219 |
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- type: recall_at_100 |
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value: 98.222 |
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- type: recall_at_1000 |
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value: 99.502 |
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- type: recall_at_3 |
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value: 54.836 |
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- type: recall_at_5 |
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value: 68.137 |
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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: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
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metrics: |
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- type: v_measure |
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value: 39.409674498704625 |
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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: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
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metrics: |
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- type: map |
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value: 61.52757354203137 |
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- type: mrr |
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value: 74.28241656773513 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/biosses-sts |
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name: MTEB BIOSSES |
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config: default |
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split: test |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
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metrics: |
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- type: cos_sim_pearson |
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value: 84.39442490594014 |
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- type: cos_sim_spearman |
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value: 83.37599616417513 |
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- type: euclidean_pearson |
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value: 83.23317790460271 |
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- type: euclidean_spearman |
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value: 83.37599616417513 |
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- type: manhattan_pearson |
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value: 83.23182214744224 |
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- type: manhattan_spearman |
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value: 83.5428674363298 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/banking77 |
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name: MTEB Banking77Classification |
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config: default |
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split: test |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
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metrics: |
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- type: accuracy |
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value: 81.93181818181819 |
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- type: f1 |
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value: 81.0852312152688 |
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- task: |
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type: Retrieval |
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dataset: |
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type: BeIR/cqadupstack |
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name: MTEB CQADupstackEnglishRetrieval |
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config: default |
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split: test |
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revision: None |
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metrics: |
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- type: map_at_1 |
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value: 28.784 |
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- type: map_at_10 |
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value: 38.879000000000005 |
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- type: map_at_100 |
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value: 40.161 |
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- type: map_at_1000 |
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value: 40.291 |
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- type: map_at_3 |
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value: 36.104 |
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- type: map_at_5 |
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value: 37.671 |
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- type: mrr_at_1 |
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value: 35.924 |
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- type: mrr_at_10 |
|
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value: 44.471 |
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- type: mrr_at_100 |
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value: 45.251000000000005 |
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- type: mrr_at_1000 |
|
|
value: 45.296 |
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|
- type: mrr_at_3 |
|
|
value: 42.367 |
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- type: mrr_at_5 |
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value: 43.635000000000005 |
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- type: ndcg_at_1 |
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value: 35.924 |
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- type: ndcg_at_10 |
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value: 44.369 |
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- type: ndcg_at_100 |
|
|
value: 48.925999999999995 |
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- type: ndcg_at_1000 |
|
|
value: 50.964 |
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|
- type: ndcg_at_3 |
|
|
value: 40.416999999999994 |
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- type: ndcg_at_5 |
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|
value: 42.309999999999995 |
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- type: precision_at_1 |
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value: 35.924 |
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- type: precision_at_10 |
|
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value: 8.344 |
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- type: precision_at_100 |
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value: 1.367 |
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- type: precision_at_1000 |
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value: 0.181 |
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- type: precision_at_3 |
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value: 19.469 |
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- type: precision_at_5 |
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value: 13.771 |
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- type: recall_at_1 |
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value: 28.784 |
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- type: recall_at_10 |
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value: 53.92400000000001 |
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- type: recall_at_100 |
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value: 72.962 |
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- type: recall_at_1000 |
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value: 85.90100000000001 |
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- type: recall_at_3 |
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value: 42.574 |
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- type: recall_at_5 |
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value: 47.798 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/emotion |
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name: MTEB EmotionClassification |
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config: default |
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split: test |
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revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
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metrics: |
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- type: accuracy |
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value: 50.16499999999999 |
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- type: f1 |
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value: 43.57906972116264 |
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- task: |
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type: Retrieval |
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dataset: |
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type: fiqa |
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name: MTEB FiQA2018 |
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config: default |
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split: test |
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revision: None |
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metrics: |
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- type: map_at_1 |
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|
value: 20.737 |
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- type: map_at_10 |
|
|
value: 33.566 |
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- type: map_at_100 |
|
|
value: 35.367 |
|
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- type: map_at_1000 |
|
|
value: 35.546 |
|
|
- type: map_at_3 |
|
|
value: 29.881999999999998 |
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- type: map_at_5 |
|
|
value: 31.818 |
|
|
- type: mrr_at_1 |
|
|
value: 41.975 |
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- type: mrr_at_10 |
|
|
value: 50.410999999999994 |
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- type: mrr_at_100 |
|
|
value: 51.172 |
|
|
- type: mrr_at_1000 |
|
|
value: 51.214999999999996 |
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|
- type: mrr_at_3 |
|
|
value: 48.611 |
|
|
- type: mrr_at_5 |
|
|
value: 49.522 |
|
|
- type: ndcg_at_1 |
|
|
value: 41.975 |
|
|
- type: ndcg_at_10 |
|
|
value: 41.299 |
|
|
- type: ndcg_at_100 |
|
|
value: 47.768 |
|
|
- type: ndcg_at_1000 |
|
|
value: 50.882000000000005 |
|
|
- type: ndcg_at_3 |
|
|
value: 38.769 |
|
|
- type: ndcg_at_5 |
|
|
value: 39.106 |
|
|
- type: precision_at_1 |
|
|
value: 41.975 |
|
|
- type: precision_at_10 |
|
|
value: 11.296000000000001 |
|
|
- type: precision_at_100 |
|
|
value: 1.7840000000000003 |
|
|
- type: precision_at_1000 |
|
|
value: 0.23500000000000001 |
|
|
- type: precision_at_3 |
|
|
value: 26.029000000000003 |
|
|
- type: precision_at_5 |
|
|
value: 18.457 |
|
|
- type: recall_at_1 |
|
|
value: 20.737 |
|
|
- type: recall_at_10 |
|
|
value: 47.284 |
|
|
- type: recall_at_100 |
|
|
value: 71.286 |
|
|
- type: recall_at_1000 |
|
|
value: 89.897 |
|
|
- type: recall_at_3 |
|
|
value: 35.411 |
|
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- type: recall_at_5 |
|
|
value: 39.987 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/imdb |
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name: MTEB ImdbClassification |
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config: default |
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split: test |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
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metrics: |
|
|
- type: accuracy |
|
|
value: 87.84 |
|
|
- type: ap |
|
|
value: 82.68294664793142 |
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- type: f1 |
|
|
value: 87.8226441992267 |
|
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- task: |
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type: Classification |
|
|
dataset: |
|
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type: mteb/mtop_domain |
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name: MTEB MTOPDomainClassification (en) |
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config: en |
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split: test |
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
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metrics: |
|
|
- type: accuracy |
|
|
value: 93.35841313269493 |
|
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- type: f1 |
|
|
value: 93.060022693275 |
|
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- task: |
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type: Classification |
|
|
dataset: |
|
|
type: mteb/mtop_intent |
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name: MTEB MTOPIntentClassification (en) |
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config: en |
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split: test |
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revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
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metrics: |
|
|
- type: accuracy |
|
|
value: 66.58002735978113 |
|
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- type: f1 |
|
|
value: 46.995919480823055 |
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- task: |
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type: Classification |
|
|
dataset: |
|
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type: mteb/amazon_massive_intent |
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name: MTEB MassiveIntentClassification (en) |
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config: en |
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split: test |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
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|
metrics: |
|
|
- type: accuracy |
|
|
value: 71.07935440484196 |
|
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- type: f1 |
|
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value: 69.13197875645403 |
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- task: |
|
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type: Classification |
|
|
dataset: |
|
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type: mteb/amazon_massive_scenario |
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name: MTEB MassiveScenarioClassification (en) |
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config: en |
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|
split: test |
|
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revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
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|
metrics: |
|
|
- type: accuracy |
|
|
value: 76.63752521856087 |
|
|
- type: f1 |
|
|
value: 75.61348469613843 |
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|
- task: |
|
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type: Retrieval |
|
|
dataset: |
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|
type: nfcorpus |
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|
name: MTEB NFCorpus |
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config: default |
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split: test |
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revision: None |
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metrics: |
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|
- type: map_at_1 |
|
|
value: 5.234 |
|
|
- type: map_at_10 |
|
|
value: 11.718 |
|
|
- type: map_at_100 |
|
|
value: 14.396 |
|
|
- type: map_at_1000 |
|
|
value: 15.661 |
|
|
- type: map_at_3 |
|
|
value: 8.951 |
|
|
- type: map_at_5 |
|
|
value: 10.233 |
|
|
- type: mrr_at_1 |
|
|
value: 43.034 |
|
|
- type: mrr_at_10 |
|
|
value: 52.161 |
|
|
- type: mrr_at_100 |
|
|
value: 52.729000000000006 |
|
|
- type: mrr_at_1000 |
|
|
value: 52.776 |
|
|
- type: mrr_at_3 |
|
|
value: 50.671 |
|
|
- type: mrr_at_5 |
|
|
value: 51.476 |
|
|
- type: ndcg_at_1 |
|
|
value: 41.331 |
|
|
- type: ndcg_at_10 |
|
|
value: 31.411 |
|
|
- type: ndcg_at_100 |
|
|
value: 28.459 |
|
|
- type: ndcg_at_1000 |
|
|
value: 37.114000000000004 |
|
|
- type: ndcg_at_3 |
|
|
value: 37.761 |
|
|
- type: ndcg_at_5 |
|
|
value: 35.118 |
|
|
- type: precision_at_1 |
|
|
value: 43.034 |
|
|
- type: precision_at_10 |
|
|
value: 22.878999999999998 |
|
|
- type: precision_at_100 |
|
|
value: 7.093000000000001 |
|
|
- type: precision_at_1000 |
|
|
value: 1.9560000000000002 |
|
|
- type: precision_at_3 |
|
|
value: 35.707 |
|
|
- type: precision_at_5 |
|
|
value: 30.279 |
|
|
- type: recall_at_1 |
|
|
value: 5.234 |
|
|
- type: recall_at_10 |
|
|
value: 14.745 |
|
|
- type: recall_at_100 |
|
|
value: 28.259 |
|
|
- type: recall_at_1000 |
|
|
value: 59.16400000000001 |
|
|
- type: recall_at_3 |
|
|
value: 10.08 |
|
|
- type: recall_at_5 |
|
|
value: 11.985 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sickr-sts |
|
|
name: MTEB SICK-R |
|
|
config: default |
|
|
split: test |
|
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 83.33269306539026 |
|
|
- type: cos_sim_spearman |
|
|
value: 79.71441518631086 |
|
|
- type: euclidean_pearson |
|
|
value: 80.98109404189279 |
|
|
- type: euclidean_spearman |
|
|
value: 79.71444969096095 |
|
|
- type: manhattan_pearson |
|
|
value: 80.97223989357175 |
|
|
- type: manhattan_spearman |
|
|
value: 79.64929261210406 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts12-sts |
|
|
name: MTEB STS12 |
|
|
config: default |
|
|
split: test |
|
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 83.7127498314437 |
|
|
- type: cos_sim_spearman |
|
|
value: 78.73426610516154 |
|
|
- type: euclidean_pearson |
|
|
value: 79.72827173736742 |
|
|
- type: euclidean_spearman |
|
|
value: 78.731973450314 |
|
|
- type: manhattan_pearson |
|
|
value: 79.71391822179304 |
|
|
- type: manhattan_spearman |
|
|
value: 78.69626503719782 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts13-sts |
|
|
name: MTEB STS13 |
|
|
config: default |
|
|
split: test |
|
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 78.33449726355023 |
|
|
- type: cos_sim_spearman |
|
|
value: 79.59703323420547 |
|
|
- type: euclidean_pearson |
|
|
value: 79.87238808505464 |
|
|
- type: euclidean_spearman |
|
|
value: 79.59703323420547 |
|
|
- type: manhattan_pearson |
|
|
value: 79.5006260085966 |
|
|
- type: manhattan_spearman |
|
|
value: 79.21864659717262 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts14-sts |
|
|
name: MTEB STS14 |
|
|
config: default |
|
|
split: test |
|
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 79.00088445445654 |
|
|
- type: cos_sim_spearman |
|
|
value: 78.99977508575147 |
|
|
- type: euclidean_pearson |
|
|
value: 78.63222924140206 |
|
|
- type: euclidean_spearman |
|
|
value: 78.99976994069327 |
|
|
- type: manhattan_pearson |
|
|
value: 78.35504771673297 |
|
|
- type: manhattan_spearman |
|
|
value: 78.76306077740067 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts15-sts |
|
|
name: MTEB STS15 |
|
|
config: default |
|
|
split: test |
|
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 87.13160613452308 |
|
|
- type: cos_sim_spearman |
|
|
value: 87.81435104273643 |
|
|
- type: euclidean_pearson |
|
|
value: 87.22395745487297 |
|
|
- type: euclidean_spearman |
|
|
value: 87.81435041827874 |
|
|
- type: manhattan_pearson |
|
|
value: 87.17630476262896 |
|
|
- type: manhattan_spearman |
|
|
value: 87.76535338976686 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts16-sts |
|
|
name: MTEB STS16 |
|
|
config: default |
|
|
split: test |
|
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 83.76424652225954 |
|
|
- type: cos_sim_spearman |
|
|
value: 85.39745570134193 |
|
|
- type: euclidean_pearson |
|
|
value: 84.6971466556576 |
|
|
- type: euclidean_spearman |
|
|
value: 85.39745570134193 |
|
|
- type: manhattan_pearson |
|
|
value: 84.61210275324463 |
|
|
- type: manhattan_spearman |
|
|
value: 85.30727114432379 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts17-crosslingual-sts |
|
|
name: MTEB STS17 (en-en) |
|
|
config: en-en |
|
|
split: test |
|
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 86.87956530541486 |
|
|
- type: cos_sim_spearman |
|
|
value: 87.13412608536781 |
|
|
- type: euclidean_pearson |
|
|
value: 87.80084186244981 |
|
|
- type: euclidean_spearman |
|
|
value: 87.13412608536781 |
|
|
- type: manhattan_pearson |
|
|
value: 87.73101535306475 |
|
|
- type: manhattan_spearman |
|
|
value: 87.05897655963285 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/stsbenchmark-sts |
|
|
name: MTEB STSBenchmark |
|
|
config: default |
|
|
split: test |
|
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 83.70737517925419 |
|
|
- type: cos_sim_spearman |
|
|
value: 84.84687698325351 |
|
|
- type: euclidean_pearson |
|
|
value: 84.36525309890885 |
|
|
- type: euclidean_spearman |
|
|
value: 84.84688249844098 |
|
|
- type: manhattan_pearson |
|
|
value: 84.31171573973266 |
|
|
- type: manhattan_spearman |
|
|
value: 84.79550448196474 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: scifact |
|
|
name: MTEB SciFact |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 48.178 |
|
|
- type: map_at_10 |
|
|
value: 59.24 |
|
|
- type: map_at_100 |
|
|
value: 59.902 |
|
|
- type: map_at_1000 |
|
|
value: 59.941 |
|
|
- type: map_at_3 |
|
|
value: 56.999 |
|
|
- type: map_at_5 |
|
|
value: 58.167 |
|
|
- type: mrr_at_1 |
|
|
value: 51.0 |
|
|
- type: mrr_at_10 |
|
|
value: 60.827 |
|
|
- type: mrr_at_100 |
|
|
value: 61.307 |
|
|
- type: mrr_at_1000 |
|
|
value: 61.341 |
|
|
- type: mrr_at_3 |
|
|
value: 59.0 |
|
|
- type: mrr_at_5 |
|
|
value: 60.033 |
|
|
- type: ndcg_at_1 |
|
|
value: 51.0 |
|
|
- type: ndcg_at_10 |
|
|
value: 64.366 |
|
|
- type: ndcg_at_100 |
|
|
value: 67.098 |
|
|
- type: ndcg_at_1000 |
|
|
value: 68.08 |
|
|
- type: ndcg_at_3 |
|
|
value: 60.409 |
|
|
- type: ndcg_at_5 |
|
|
value: 62.150000000000006 |
|
|
- type: precision_at_1 |
|
|
value: 51.0 |
|
|
- type: precision_at_10 |
|
|
value: 8.799999999999999 |
|
|
- type: precision_at_100 |
|
|
value: 1.027 |
|
|
- type: precision_at_1000 |
|
|
value: 0.11100000000000002 |
|
|
- type: precision_at_3 |
|
|
value: 24.444 |
|
|
- type: precision_at_5 |
|
|
value: 15.8 |
|
|
- type: recall_at_1 |
|
|
value: 48.178 |
|
|
- type: recall_at_10 |
|
|
value: 78.34400000000001 |
|
|
- type: recall_at_100 |
|
|
value: 90.36699999999999 |
|
|
- type: recall_at_1000 |
|
|
value: 98.0 |
|
|
- type: recall_at_3 |
|
|
value: 67.35 |
|
|
- type: recall_at_5 |
|
|
value: 71.989 |
|
|
- task: |
|
|
type: PairClassification |
|
|
dataset: |
|
|
type: mteb/sprintduplicatequestions-pairclassification |
|
|
name: MTEB SprintDuplicateQuestions |
|
|
config: default |
|
|
split: test |
|
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
|
metrics: |
|
|
- type: cos_sim_accuracy |
|
|
value: 99.87722772277228 |
|
|
- type: cos_sim_ap |
|
|
value: 97.32479581402639 |
|
|
- type: cos_sim_f1 |
|
|
value: 93.74369323915236 |
|
|
- type: cos_sim_precision |
|
|
value: 94.60285132382892 |
|
|
- type: cos_sim_recall |
|
|
value: 92.9 |
|
|
- type: dot_accuracy |
|
|
value: 99.87722772277228 |
|
|
- type: dot_ap |
|
|
value: 97.32479581402637 |
|
|
- type: dot_f1 |
|
|
value: 93.74369323915236 |
|
|
- type: dot_precision |
|
|
value: 94.60285132382892 |
|
|
- type: dot_recall |
|
|
value: 92.9 |
|
|
- type: euclidean_accuracy |
|
|
value: 99.87722772277228 |
|
|
- type: euclidean_ap |
|
|
value: 97.32479581402639 |
|
|
- type: euclidean_f1 |
|
|
value: 93.74369323915236 |
|
|
- type: euclidean_precision |
|
|
value: 94.60285132382892 |
|
|
- type: euclidean_recall |
|
|
value: 92.9 |
|
|
- type: manhattan_accuracy |
|
|
value: 99.87524752475248 |
|
|
- type: manhattan_ap |
|
|
value: 97.29133330261223 |
|
|
- type: manhattan_f1 |
|
|
value: 93.59359359359361 |
|
|
- type: manhattan_precision |
|
|
value: 93.687374749499 |
|
|
- type: manhattan_recall |
|
|
value: 93.5 |
|
|
- type: max_accuracy |
|
|
value: 99.87722772277228 |
|
|
- type: max_ap |
|
|
value: 97.32479581402639 |
|
|
- type: max_f1 |
|
|
value: 93.74369323915236 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/toxic_conversations_50k |
|
|
name: MTEB ToxicConversationsClassification |
|
|
config: default |
|
|
split: test |
|
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 72.60060000000001 |
|
|
- type: ap |
|
|
value: 15.719924742317021 |
|
|
- type: f1 |
|
|
value: 56.30561683159878 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/tweet_sentiment_extraction |
|
|
name: MTEB TweetSentimentExtractionClassification |
|
|
config: default |
|
|
split: test |
|
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 63.71250707413696 |
|
|
- type: f1 |
|
|
value: 63.54808116265952 |
|
|
- task: |
|
|
type: PairClassification |
|
|
dataset: |
|
|
type: mteb/twittersemeval2015-pairclassification |
|
|
name: MTEB TwitterSemEval2015 |
|
|
config: default |
|
|
split: test |
|
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
|
metrics: |
|
|
- type: cos_sim_accuracy |
|
|
value: 85.110568039578 |
|
|
- type: cos_sim_ap |
|
|
value: 70.28927714315245 |
|
|
- type: cos_sim_f1 |
|
|
value: 65.03893361488716 |
|
|
- type: cos_sim_precision |
|
|
value: 65.06469500924214 |
|
|
- type: cos_sim_recall |
|
|
value: 65.0131926121372 |
|
|
- type: dot_accuracy |
|
|
value: 85.110568039578 |
|
|
- type: dot_ap |
|
|
value: 70.28928082939848 |
|
|
- type: dot_f1 |
|
|
value: 65.03893361488716 |
|
|
- type: dot_precision |
|
|
value: 65.06469500924214 |
|
|
- type: dot_recall |
|
|
value: 65.0131926121372 |
|
|
- type: euclidean_accuracy |
|
|
value: 85.110568039578 |
|
|
- type: euclidean_ap |
|
|
value: 70.28928621260852 |
|
|
- type: euclidean_f1 |
|
|
value: 65.03893361488716 |
|
|
- type: euclidean_precision |
|
|
value: 65.06469500924214 |
|
|
- type: euclidean_recall |
|
|
value: 65.0131926121372 |
|
|
- type: manhattan_accuracy |
|
|
value: 85.02115992132086 |
|
|
- type: manhattan_ap |
|
|
value: 70.05813255171925 |
|
|
- type: manhattan_f1 |
|
|
value: 64.59658311510164 |
|
|
- type: manhattan_precision |
|
|
value: 61.24379285883188 |
|
|
- type: manhattan_recall |
|
|
value: 68.33773087071239 |
|
|
- type: max_accuracy |
|
|
value: 85.110568039578 |
|
|
- type: max_ap |
|
|
value: 70.28928621260852 |
|
|
- type: max_f1 |
|
|
value: 65.03893361488716 |
|
|
- task: |
|
|
type: PairClassification |
|
|
dataset: |
|
|
type: mteb/twitterurlcorpus-pairclassification |
|
|
name: MTEB TwitterURLCorpus |
|
|
config: default |
|
|
split: test |
|
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
|
metrics: |
|
|
- type: cos_sim_accuracy |
|
|
value: 88.99949547871309 |
|
|
- type: cos_sim_ap |
|
|
value: 85.82819569154559 |
|
|
- type: cos_sim_f1 |
|
|
value: 78.37315338318439 |
|
|
- type: cos_sim_precision |
|
|
value: 74.46454564358494 |
|
|
- type: cos_sim_recall |
|
|
value: 82.71481367416075 |
|
|
- type: dot_accuracy |
|
|
value: 88.99949547871309 |
|
|
- type: dot_ap |
|
|
value: 85.82820043407936 |
|
|
- type: dot_f1 |
|
|
value: 78.37315338318439 |
|
|
- type: dot_precision |
|
|
value: 74.46454564358494 |
|
|
- type: dot_recall |
|
|
value: 82.71481367416075 |
|
|
- type: euclidean_accuracy |
|
|
value: 88.99949547871309 |
|
|
- type: euclidean_ap |
|
|
value: 85.82819622588083 |
|
|
- type: euclidean_f1 |
|
|
value: 78.37315338318439 |
|
|
- type: euclidean_precision |
|
|
value: 74.46454564358494 |
|
|
- type: euclidean_recall |
|
|
value: 82.71481367416075 |
|
|
- type: manhattan_accuracy |
|
|
value: 88.98009081383165 |
|
|
- type: manhattan_ap |
|
|
value: 85.77393389750326 |
|
|
- type: manhattan_f1 |
|
|
value: 78.38852097130243 |
|
|
- type: manhattan_precision |
|
|
value: 75.06341600901916 |
|
|
- type: manhattan_recall |
|
|
value: 82.0218663381583 |
|
|
- type: max_accuracy |
|
|
value: 88.99949547871309 |
|
|
- type: max_ap |
|
|
value: 85.82820043407936 |
|
|
- type: max_f1 |
|
|
value: 78.38852097130243 |
|
|
--- |
