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--- |
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license: apache-2.0 |
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pipeline_tag: sentence-similarity |
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inference: false |
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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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language: en |
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datasets: |
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- s2orc |
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- flax-sentence-embeddings/stackexchange_title_body_jsonl |
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- flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl |
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- flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl |
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- flax-sentence-embeddings/stackexchange_titlebody_best_and_down_voted_answer_jsonl |
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- sentence-transformers/reddit-title-body |
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- msmarco |
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- gooaq |
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- yahoo_answers_topics |
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- code_search_net |
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- search_qa |
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- eli5 |
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- snli |
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- multi_nli |
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- wikihow |
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- natural_questions |
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- trivia_qa |
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- embedding-data/sentence-compression |
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- embedding-data/flickr30k-captions |
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- embedding-data/altlex |
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- embedding-data/simple-wiki |
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- embedding-data/QQP |
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- embedding-data/SPECTER |
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- embedding-data/PAQ_pairs |
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- embedding-data/WikiAnswers |
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- sentence-transformers/embedding-training-data |
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model-index: |
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- name: lodestone-base-4096-v1 |
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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 |
|
value: 69.7313432835821 |
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- type: ap |
|
value: 31.618259511417733 |
|
- type: f1 |
|
value: 63.30313825394228 |
|
- task: |
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type: Classification |
|
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: |
|
- type: accuracy |
|
value: 86.89837499999999 |
|
- type: ap |
|
value: 82.39500885672128 |
|
- type: f1 |
|
value: 86.87317947399657 |
|
- task: |
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type: Classification |
|
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: |
|
- type: accuracy |
|
value: 44.05 |
|
- type: f1 |
|
value: 42.67624383248947 |
|
- task: |
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type: Retrieval |
|
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 |
|
value: 26.173999999999996 |
|
- type: map_at_10 |
|
value: 40.976 |
|
- type: map_at_100 |
|
value: 42.067 |
|
- type: map_at_1000 |
|
value: 42.075 |
|
- type: map_at_3 |
|
value: 35.917 |
|
- type: map_at_5 |
|
value: 38.656 |
|
- type: mrr_at_1 |
|
value: 26.814 |
|
- type: mrr_at_10 |
|
value: 41.252 |
|
- type: mrr_at_100 |
|
value: 42.337 |
|
- type: mrr_at_1000 |
|
value: 42.345 |
|
- type: mrr_at_3 |
|
value: 36.226 |
|
- type: mrr_at_5 |
|
value: 38.914 |
|
- type: ndcg_at_1 |
|
value: 26.173999999999996 |
|
- type: ndcg_at_10 |
|
value: 49.819 |
|
- type: ndcg_at_100 |
|
value: 54.403999999999996 |
|
- type: ndcg_at_1000 |
|
value: 54.59 |
|
- type: ndcg_at_3 |
|
value: 39.231 |
|
- type: ndcg_at_5 |
|
value: 44.189 |
|
- type: precision_at_1 |
|
value: 26.173999999999996 |
|
- type: precision_at_10 |
|
value: 7.838000000000001 |
|
- type: precision_at_100 |
|
value: 0.9820000000000001 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: precision_at_3 |
|
value: 16.287 |
|
- type: precision_at_5 |
|
value: 12.191 |
|
- type: recall_at_1 |
|
value: 26.173999999999996 |
|
- type: recall_at_10 |
|
value: 78.378 |
|
- type: recall_at_100 |
|
value: 98.222 |
|
- type: recall_at_1000 |
|
value: 99.644 |
|
- type: recall_at_3 |
|
value: 48.862 |
|
- type: recall_at_5 |
|
value: 60.953 |
|
- task: |
|
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: |
|
- type: v_measure |
|
value: 42.31689035788179 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
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: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
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metrics: |
|
- type: v_measure |
|
value: 31.280245136660984 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
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: |
|
- type: map |
|
value: 58.79109720839415 |
|
- type: mrr |
|
value: 71.79615705931495 |
|
- task: |
|
type: STS |
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dataset: |
|
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 |
|
value: 76.44918756608115 |
|
- type: cos_sim_spearman |
|
value: 70.86607256286257 |
|
- type: euclidean_pearson |
|
value: 74.12154678100815 |
|
- type: euclidean_spearman |
|
value: 70.86607256286257 |
|
- type: manhattan_pearson |
|
value: 74.0078626964417 |
|
- type: manhattan_spearman |
|
value: 70.68353828321327 |
|
- task: |
|
type: Classification |
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dataset: |
|
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: |
|
- type: accuracy |
|
value: 75.40584415584415 |
|
- type: f1 |
|
value: 74.29514617572676 |
|
- task: |
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type: Clustering |
|
dataset: |
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type: mteb/biorxiv-clustering-p2p |
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name: MTEB BiorxivClusteringP2P |
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config: default |
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split: test |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
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metrics: |
|
- type: v_measure |
|
value: 37.41860080664014 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
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config: default |
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split: test |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 29.319217023090705 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
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name: MTEB CQADupstackAndroidRetrieval |
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config: default |
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split: test |
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revision: None |
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metrics: |
|
- type: map_at_1 |
|
value: 26.595000000000002 |
|
- type: map_at_10 |
|
value: 36.556 |
|
- type: map_at_100 |
|
value: 37.984 |
|
- type: map_at_1000 |
|
value: 38.134 |
|
- type: map_at_3 |
|
value: 33.417 |
|
- type: map_at_5 |
|
value: 35.160000000000004 |
|
- type: mrr_at_1 |
|
value: 32.761 |
|
- type: mrr_at_10 |
|
value: 41.799 |
|
- type: mrr_at_100 |
|
value: 42.526 |
|
- type: mrr_at_1000 |
|
value: 42.582 |
|
- type: mrr_at_3 |
|
value: 39.39 |
|
- type: mrr_at_5 |
|
value: 40.727000000000004 |
|
- type: ndcg_at_1 |
|
value: 32.761 |
|
- type: ndcg_at_10 |
|
value: 42.549 |
|
- type: ndcg_at_100 |
|
value: 47.915 |
|
- type: ndcg_at_1000 |
|
value: 50.475 |
|
- type: ndcg_at_3 |
|
value: 37.93 |
|
- type: ndcg_at_5 |
|
value: 39.939 |
|
- type: precision_at_1 |
|
value: 32.761 |
|
- type: precision_at_10 |
|
value: 8.312 |
|
- type: precision_at_100 |
|
value: 1.403 |
|
- type: precision_at_1000 |
|
value: 0.197 |
|
- type: precision_at_3 |
|
value: 18.741 |
|
- type: precision_at_5 |
|
value: 13.447999999999999 |
|
- type: recall_at_1 |
|
value: 26.595000000000002 |
|
- type: recall_at_10 |
|
value: 54.332 |
|
- type: recall_at_100 |
|
value: 76.936 |
|
- type: recall_at_1000 |
|
value: 93.914 |
|
- type: recall_at_3 |
|
value: 40.666000000000004 |
|
- type: recall_at_5 |
|
value: 46.513 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.528000000000002 |
|
- type: map_at_10 |
|
value: 30.751 |
|
- type: map_at_100 |
|
value: 31.855 |
|
- type: map_at_1000 |
|
value: 31.972 |
|
- type: map_at_3 |
|
value: 28.465 |
|
- type: map_at_5 |
|
value: 29.738 |
|
- type: mrr_at_1 |
|
value: 28.662 |
|
- type: mrr_at_10 |
|
value: 35.912 |
|
- type: mrr_at_100 |
|
value: 36.726 |
|
- type: mrr_at_1000 |
|
value: 36.777 |
|
- type: mrr_at_3 |
|
value: 34.013 |
|
- type: mrr_at_5 |
|
value: 35.156 |
|
- type: ndcg_at_1 |
|
value: 28.662 |
|
- type: ndcg_at_10 |
|
value: 35.452 |
|
- type: ndcg_at_100 |
|
value: 40.1 |
|
- type: ndcg_at_1000 |
|
value: 42.323 |
|
- type: ndcg_at_3 |
|
value: 32.112 |
|
- type: ndcg_at_5 |
|
value: 33.638 |
|
- type: precision_at_1 |
|
value: 28.662 |
|
- type: precision_at_10 |
|
value: 6.688 |
|
- type: precision_at_100 |
|
value: 1.13 |
|
- type: precision_at_1000 |
|
value: 0.16 |
|
- type: precision_at_3 |
|
value: 15.562999999999999 |
|
- type: precision_at_5 |
|
value: 11.019 |
|
- type: recall_at_1 |
|
value: 22.528000000000002 |
|
- type: recall_at_10 |
|
value: 43.748 |
|
- type: recall_at_100 |
|
value: 64.235 |
|
- type: recall_at_1000 |
|
value: 78.609 |
|
- type: recall_at_3 |
|
value: 33.937 |
|
- type: recall_at_5 |
|
value: 38.234 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 33.117999999999995 |
|
- type: map_at_10 |
|
value: 44.339 |
|
- type: map_at_100 |
|
value: 45.367000000000004 |
|
- type: map_at_1000 |
|
value: 45.437 |
|
- type: map_at_3 |
|
value: 41.195 |
|
- type: map_at_5 |
|
value: 42.922 |
|
- type: mrr_at_1 |
|
value: 38.37 |
|
- type: mrr_at_10 |
|
value: 47.786 |
|
- type: mrr_at_100 |
|
value: 48.522 |
|
- type: mrr_at_1000 |
|
value: 48.567 |
|
- type: mrr_at_3 |
|
value: 45.371 |
|
- type: mrr_at_5 |
|
value: 46.857 |
|
- type: ndcg_at_1 |
|
value: 38.37 |
|
- type: ndcg_at_10 |
|
value: 50.019999999999996 |
|
- type: ndcg_at_100 |
|
value: 54.36299999999999 |
|
- type: ndcg_at_1000 |
|
value: 55.897 |
|
- type: ndcg_at_3 |
|
value: 44.733000000000004 |
|
- type: ndcg_at_5 |
|
value: 47.292 |
|
- type: precision_at_1 |
|
value: 38.37 |
|
- type: precision_at_10 |
|
value: 8.288 |
|
- type: precision_at_100 |
|
value: 1.139 |
|
- type: precision_at_1000 |
|
value: 0.132 |
|
- type: precision_at_3 |
|
value: 20.293 |
|
- type: precision_at_5 |
|
value: 14.107 |
|
- type: recall_at_1 |
|
value: 33.117999999999995 |
|
- type: recall_at_10 |
|
value: 63.451 |
|
- type: recall_at_100 |
|
value: 82.767 |
|
- type: recall_at_1000 |
|
value: 93.786 |
|
- type: recall_at_3 |
|
value: 48.964999999999996 |
|
- type: recall_at_5 |
|
value: 55.358 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 16.028000000000002 |
|
- type: map_at_10 |
|
value: 23.186999999999998 |
|
- type: map_at_100 |
|
value: 24.236 |
|
- type: map_at_1000 |
|
value: 24.337 |
|
- type: map_at_3 |
|
value: 20.816000000000003 |
|
- type: map_at_5 |
|
value: 22.311 |
|
- type: mrr_at_1 |
|
value: 17.514 |
|
- type: mrr_at_10 |
|
value: 24.84 |
|
- type: mrr_at_100 |
|
value: 25.838 |
|
- type: mrr_at_1000 |
|
value: 25.924999999999997 |
|
- type: mrr_at_3 |
|
value: 22.542 |
|
- type: mrr_at_5 |
|
value: 24.04 |
|
- type: ndcg_at_1 |
|
value: 17.514 |
|
- type: ndcg_at_10 |
|
value: 27.391 |
|
- type: ndcg_at_100 |
|
value: 32.684999999999995 |
|
- type: ndcg_at_1000 |
|
value: 35.367 |
|
- type: ndcg_at_3 |
|
value: 22.820999999999998 |
|
- type: ndcg_at_5 |
|
value: 25.380999999999997 |
|
- type: precision_at_1 |
|
value: 17.514 |
|
- type: precision_at_10 |
|
value: 4.463 |
|
- type: precision_at_100 |
|
value: 0.745 |
|
- type: precision_at_1000 |
|
value: 0.101 |
|
- type: precision_at_3 |
|
value: 10.019 |
|
- type: precision_at_5 |
|
value: 7.457999999999999 |
|
- type: recall_at_1 |
|
value: 16.028000000000002 |
|
- type: recall_at_10 |
|
value: 38.81 |
|
- type: recall_at_100 |
|
value: 63.295 |
|
- type: recall_at_1000 |
|
value: 83.762 |
|
- type: recall_at_3 |
|
value: 26.604 |
|
- type: recall_at_5 |
|
value: 32.727000000000004 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 11.962 |
|
- type: map_at_10 |
|
value: 17.218 |
|
- type: map_at_100 |
|
value: 18.321 |
|
- type: map_at_1000 |
|
value: 18.455 |
|
- type: map_at_3 |
|
value: 15.287999999999998 |
|
- type: map_at_5 |
|
value: 16.417 |
|
- type: mrr_at_1 |
|
value: 14.677000000000001 |
|
- type: mrr_at_10 |
|
value: 20.381 |
|
- type: mrr_at_100 |
|
value: 21.471999999999998 |
|
- type: mrr_at_1000 |
|
value: 21.566 |
|
- type: mrr_at_3 |
|
value: 18.448999999999998 |
|
- type: mrr_at_5 |
|
value: 19.587 |
|
- type: ndcg_at_1 |
|
value: 14.677000000000001 |
|
- type: ndcg_at_10 |
|
value: 20.86 |
|
- type: ndcg_at_100 |
|
value: 26.519 |
|
- type: ndcg_at_1000 |
|
value: 30.020000000000003 |
|
- type: ndcg_at_3 |
|
value: 17.208000000000002 |
|
- type: ndcg_at_5 |
|
value: 19.037000000000003 |
|
- type: precision_at_1 |
|
value: 14.677000000000001 |
|
- type: precision_at_10 |
|
value: 3.856 |
|
- type: precision_at_100 |
|
value: 0.7889999999999999 |
|
- type: precision_at_1000 |
|
value: 0.124 |
|
- type: precision_at_3 |
|
value: 8.043 |
|
- type: precision_at_5 |
|
value: 6.069999999999999 |
|
- type: recall_at_1 |
|
value: 11.962 |
|
- type: recall_at_10 |
|
value: 28.994999999999997 |
|
- type: recall_at_100 |
|
value: 54.071999999999996 |
|
- type: recall_at_1000 |
|
value: 79.309 |
|
- type: recall_at_3 |
|
value: 19.134999999999998 |
|
- type: recall_at_5 |
|
value: 23.727999999999998 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.764 |
|
- type: map_at_10 |
|
value: 31.744 |
|
- type: map_at_100 |
|
value: 33.037 |
|
- type: map_at_1000 |
|
value: 33.156 |
|
- type: map_at_3 |
|
value: 29.015 |
|
- type: map_at_5 |
|
value: 30.434 |
|
- type: mrr_at_1 |
|
value: 28.296 |
|
- type: mrr_at_10 |
|
value: 37.03 |
|
- type: mrr_at_100 |
|
value: 37.902 |
|
- type: mrr_at_1000 |
|
value: 37.966 |
|
- type: mrr_at_3 |
|
value: 34.568 |
|
- type: mrr_at_5 |
|
value: 35.786 |
|
- type: ndcg_at_1 |
|
value: 28.296 |
|
- type: ndcg_at_10 |
|
value: 37.289 |
|
- type: ndcg_at_100 |
|
value: 42.787 |
|
- type: ndcg_at_1000 |
|
value: 45.382 |
|
- type: ndcg_at_3 |
|
value: 32.598 |
|
- type: ndcg_at_5 |
|
value: 34.521 |
|
- type: precision_at_1 |
|
value: 28.296 |
|
- type: precision_at_10 |
|
value: 6.901 |
|
- type: precision_at_100 |
|
value: 1.135 |
|
- type: precision_at_1000 |
|
value: 0.152 |
|
- type: precision_at_3 |
|
value: 15.367 |
|
- type: precision_at_5 |
|
value: 11.03 |
|
- type: recall_at_1 |
|
value: 22.764 |
|
- type: recall_at_10 |
|
value: 48.807 |
|
- type: recall_at_100 |
|
value: 71.859 |
|
- type: recall_at_1000 |
|
value: 89.606 |
|
- type: recall_at_3 |
|
value: 35.594 |
|
- type: recall_at_5 |
|
value: 40.541 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.742 |
|
- type: map_at_10 |
|
value: 27.741 |
|
- type: map_at_100 |
|
value: 29.323 |
|
- type: map_at_1000 |
|
value: 29.438 |
|
- type: map_at_3 |
|
value: 25.217 |
|
- type: map_at_5 |
|
value: 26.583000000000002 |
|
- type: mrr_at_1 |
|
value: 24.657999999999998 |
|
- type: mrr_at_10 |
|
value: 32.407000000000004 |
|
- type: mrr_at_100 |
|
value: 33.631 |
|
- type: mrr_at_1000 |
|
value: 33.686 |
|
- type: mrr_at_3 |
|
value: 30.194 |
|
- type: mrr_at_5 |
|
value: 31.444 |
|
- type: ndcg_at_1 |
|
value: 24.657999999999998 |
|
- type: ndcg_at_10 |
|
value: 32.614 |
|
- type: ndcg_at_100 |
|
value: 39.61 |
|
- type: ndcg_at_1000 |
|
value: 42.114000000000004 |
|
- type: ndcg_at_3 |
|
value: 28.516000000000002 |
|
- type: ndcg_at_5 |
|
value: 30.274 |
|
- type: precision_at_1 |
|
value: 24.657999999999998 |
|
- type: precision_at_10 |
|
value: 6.176 |
|
- type: precision_at_100 |
|
value: 1.1400000000000001 |
|
- type: precision_at_1000 |
|
value: 0.155 |
|
- type: precision_at_3 |
|
value: 13.927 |
|
- type: precision_at_5 |
|
value: 9.954 |
|
- type: recall_at_1 |
|
value: 19.742 |
|
- type: recall_at_10 |
|
value: 42.427 |
|
- type: recall_at_100 |
|
value: 72.687 |
|
- type: recall_at_1000 |
|
value: 89.89 |
|
- type: recall_at_3 |
|
value: 30.781 |
|
- type: recall_at_5 |
|
value: 35.606 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.72608333333333 |
|
- type: map_at_10 |
|
value: 27.165333333333336 |
|
- type: map_at_100 |
|
value: 28.292499999999997 |
|
- type: map_at_1000 |
|
value: 28.416333333333327 |
|
- type: map_at_3 |
|
value: 24.783833333333334 |
|
- type: map_at_5 |
|
value: 26.101750000000003 |
|
- type: mrr_at_1 |
|
value: 23.721500000000002 |
|
- type: mrr_at_10 |
|
value: 30.853333333333328 |
|
- type: mrr_at_100 |
|
value: 31.741750000000003 |
|
- type: mrr_at_1000 |
|
value: 31.812999999999995 |
|
- type: mrr_at_3 |
|
value: 28.732249999999997 |
|
- type: mrr_at_5 |
|
value: 29.945166666666665 |
|
- type: ndcg_at_1 |
|
value: 23.721500000000002 |
|
- type: ndcg_at_10 |
|
value: 31.74883333333333 |
|
- type: ndcg_at_100 |
|
value: 36.883583333333334 |
|
- type: ndcg_at_1000 |
|
value: 39.6145 |
|
- type: ndcg_at_3 |
|
value: 27.639583333333334 |
|
- type: ndcg_at_5 |
|
value: 29.543666666666667 |
|
- type: precision_at_1 |
|
value: 23.721500000000002 |
|
- type: precision_at_10 |
|
value: 5.709083333333333 |
|
- type: precision_at_100 |
|
value: 0.9859166666666666 |
|
- type: precision_at_1000 |
|
value: 0.1413333333333333 |
|
- type: precision_at_3 |
|
value: 12.85683333333333 |
|
- type: precision_at_5 |
|
value: 9.258166666666668 |
|
- type: recall_at_1 |
|
value: 19.72608333333333 |
|
- type: recall_at_10 |
|
value: 41.73583333333334 |
|
- type: recall_at_100 |
|
value: 64.66566666666668 |
|
- type: recall_at_1000 |
|
value: 84.09833333333336 |
|
- type: recall_at_3 |
|
value: 30.223083333333328 |
|
- type: recall_at_5 |
|
value: 35.153083333333335 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 17.582 |
|
- type: map_at_10 |
|
value: 22.803 |
|
- type: map_at_100 |
|
value: 23.503 |
|
- type: map_at_1000 |
|
value: 23.599999999999998 |
|
- type: map_at_3 |
|
value: 21.375 |
|
- type: map_at_5 |
|
value: 22.052 |
|
- type: mrr_at_1 |
|
value: 20.399 |
|
- type: mrr_at_10 |
|
value: 25.369999999999997 |
|
- type: mrr_at_100 |
|
value: 26.016000000000002 |
|
- type: mrr_at_1000 |
|
value: 26.090999999999998 |
|
- type: mrr_at_3 |
|
value: 23.952 |
|
- type: mrr_at_5 |
|
value: 24.619 |
|
- type: ndcg_at_1 |
|
value: 20.399 |
|
- type: ndcg_at_10 |
|
value: 25.964 |
|
- type: ndcg_at_100 |
|
value: 29.607 |
|
- type: ndcg_at_1000 |
|
value: 32.349 |
|
- type: ndcg_at_3 |
|
value: 23.177 |
|
- type: ndcg_at_5 |
|
value: 24.276 |
|
- type: precision_at_1 |
|
value: 20.399 |
|
- type: precision_at_10 |
|
value: 4.018 |
|
- type: precision_at_100 |
|
value: 0.629 |
|
- type: precision_at_1000 |
|
value: 0.093 |
|
- type: precision_at_3 |
|
value: 9.969 |
|
- type: precision_at_5 |
|
value: 6.748 |
|
- type: recall_at_1 |
|
value: 17.582 |
|
- type: recall_at_10 |
|
value: 33.35 |
|
- type: recall_at_100 |
|
value: 50.219 |
|
- type: recall_at_1000 |
|
value: 71.06099999999999 |
|
- type: recall_at_3 |
|
value: 25.619999999999997 |
|
- type: recall_at_5 |
|
value: 28.291 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 11.071 |
|
- type: map_at_10 |
|
value: 16.201999999999998 |
|
- type: map_at_100 |
|
value: 17.112 |
|
- type: map_at_1000 |
|
value: 17.238 |
|
- type: map_at_3 |
|
value: 14.508 |
|
- type: map_at_5 |
|
value: 15.440999999999999 |
|
- type: mrr_at_1 |
|
value: 13.833 |
|
- type: mrr_at_10 |
|
value: 19.235 |
|
- type: mrr_at_100 |
|
value: 20.108999999999998 |
|
- type: mrr_at_1000 |
|
value: 20.196 |
|
- type: mrr_at_3 |
|
value: 17.515 |
|
- type: mrr_at_5 |
|
value: 18.505 |
|
- type: ndcg_at_1 |
|
value: 13.833 |
|
- type: ndcg_at_10 |
|
value: 19.643 |
|
- type: ndcg_at_100 |
|
value: 24.298000000000002 |
|
- type: ndcg_at_1000 |
|
value: 27.614 |
|
- type: ndcg_at_3 |
|
value: 16.528000000000002 |
|
- type: ndcg_at_5 |
|
value: 17.991 |
|
- type: precision_at_1 |
|
value: 13.833 |
|
- type: precision_at_10 |
|
value: 3.6990000000000003 |
|
- type: precision_at_100 |
|
value: 0.713 |
|
- type: precision_at_1000 |
|
value: 0.116 |
|
- type: precision_at_3 |
|
value: 7.9030000000000005 |
|
- type: precision_at_5 |
|
value: 5.891 |
|
- type: recall_at_1 |
|
value: 11.071 |
|
- type: recall_at_10 |
|
value: 27.019 |
|
- type: recall_at_100 |
|
value: 48.404 |
|
- type: recall_at_1000 |
|
value: 72.641 |
|
- type: recall_at_3 |
|
value: 18.336 |
|
- type: recall_at_5 |
|
value: 21.991 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.573 |
|
- type: map_at_10 |
|
value: 25.008999999999997 |
|
- type: map_at_100 |
|
value: 26.015 |
|
- type: map_at_1000 |
|
value: 26.137 |
|
- type: map_at_3 |
|
value: 22.798 |
|
- type: map_at_5 |
|
value: 24.092 |
|
- type: mrr_at_1 |
|
value: 22.108 |
|
- type: mrr_at_10 |
|
value: 28.646 |
|
- type: mrr_at_100 |
|
value: 29.477999999999998 |
|
- type: mrr_at_1000 |
|
value: 29.57 |
|
- type: mrr_at_3 |
|
value: 26.415 |
|
- type: mrr_at_5 |
|
value: 27.693 |
|
- type: ndcg_at_1 |
|
value: 22.108 |
|
- type: ndcg_at_10 |
|
value: 29.42 |
|
- type: ndcg_at_100 |
|
value: 34.385 |
|
- type: ndcg_at_1000 |
|
value: 37.572 |
|
- type: ndcg_at_3 |
|
value: 25.274 |
|
- type: ndcg_at_5 |
|
value: 27.315 |
|
- type: precision_at_1 |
|
value: 22.108 |
|
- type: precision_at_10 |
|
value: 5.093 |
|
- type: precision_at_100 |
|
value: 0.859 |
|
- type: precision_at_1000 |
|
value: 0.124 |
|
- type: precision_at_3 |
|
value: 11.474 |
|
- type: precision_at_5 |
|
value: 8.321000000000002 |
|
- type: recall_at_1 |
|
value: 18.573 |
|
- type: recall_at_10 |
|
value: 39.433 |
|
- type: recall_at_100 |
|
value: 61.597 |
|
- type: recall_at_1000 |
|
value: 84.69 |
|
- type: recall_at_3 |
|
value: 27.849 |
|
- type: recall_at_5 |
|
value: 33.202999999999996 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.807 |
|
- type: map_at_10 |
|
value: 30.014000000000003 |
|
- type: map_at_100 |
|
value: 31.422 |
|
- type: map_at_1000 |
|
value: 31.652 |
|
- type: map_at_3 |
|
value: 27.447 |
|
- type: map_at_5 |
|
value: 28.711 |
|
- type: mrr_at_1 |
|
value: 27.668 |
|
- type: mrr_at_10 |
|
value: 34.489 |
|
- type: mrr_at_100 |
|
value: 35.453 |
|
- type: mrr_at_1000 |
|
value: 35.526 |
|
- type: mrr_at_3 |
|
value: 32.477000000000004 |
|
- type: mrr_at_5 |
|
value: 33.603 |
|
- type: ndcg_at_1 |
|
value: 27.668 |
|
- type: ndcg_at_10 |
|
value: 34.983 |
|
- type: ndcg_at_100 |
|
value: 40.535 |
|
- type: ndcg_at_1000 |
|
value: 43.747 |
|
- type: ndcg_at_3 |
|
value: 31.026999999999997 |
|
- type: ndcg_at_5 |
|
value: 32.608 |
|
- type: precision_at_1 |
|
value: 27.668 |
|
- type: precision_at_10 |
|
value: 6.837999999999999 |
|
- type: precision_at_100 |
|
value: 1.411 |
|
- type: precision_at_1000 |
|
value: 0.23600000000000002 |
|
- type: precision_at_3 |
|
value: 14.295 |
|
- type: precision_at_5 |
|
value: 10.435 |
|
- type: recall_at_1 |
|
value: 22.807 |
|
- type: recall_at_10 |
|
value: 43.545 |
|
- type: recall_at_100 |
|
value: 69.39800000000001 |
|
- type: recall_at_1000 |
|
value: 90.706 |
|
- type: recall_at_3 |
|
value: 32.183 |
|
- type: recall_at_5 |
|
value: 36.563 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 13.943 |
|
- type: map_at_10 |
|
value: 20.419999999999998 |
|
- type: map_at_100 |
|
value: 21.335 |
|
- type: map_at_1000 |
|
value: 21.44 |
|
- type: map_at_3 |
|
value: 17.865000000000002 |
|
- type: map_at_5 |
|
value: 19.36 |
|
- type: mrr_at_1 |
|
value: 15.712000000000002 |
|
- type: mrr_at_10 |
|
value: 22.345000000000002 |
|
- type: mrr_at_100 |
|
value: 23.227999999999998 |
|
- type: mrr_at_1000 |
|
value: 23.304 |
|
- type: mrr_at_3 |
|
value: 19.901 |
|
- type: mrr_at_5 |
|
value: 21.325 |
|
- type: ndcg_at_1 |
|
value: 15.712000000000002 |
|
- type: ndcg_at_10 |
|
value: 24.801000000000002 |
|
- type: ndcg_at_100 |
|
value: 29.799 |
|
- type: ndcg_at_1000 |
|
value: 32.513999999999996 |
|
- type: ndcg_at_3 |
|
value: 19.750999999999998 |
|
- type: ndcg_at_5 |
|
value: 22.252 |
|
- type: precision_at_1 |
|
value: 15.712000000000002 |
|
- type: precision_at_10 |
|
value: 4.1770000000000005 |
|
- type: precision_at_100 |
|
value: 0.738 |
|
- type: precision_at_1000 |
|
value: 0.106 |
|
- type: precision_at_3 |
|
value: 8.688 |
|
- type: precision_at_5 |
|
value: 6.617000000000001 |
|
- type: recall_at_1 |
|
value: 13.943 |
|
- type: recall_at_10 |
|
value: 36.913000000000004 |
|
- type: recall_at_100 |
|
value: 60.519 |
|
- type: recall_at_1000 |
|
value: 81.206 |
|
- type: recall_at_3 |
|
value: 23.006999999999998 |
|
- type: recall_at_5 |
|
value: 29.082 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: climate-fever |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.468 |
|
- type: map_at_10 |
|
value: 16.029 |
|
- type: map_at_100 |
|
value: 17.693 |
|
- type: map_at_1000 |
|
value: 17.886 |
|
- type: map_at_3 |
|
value: 13.15 |
|
- type: map_at_5 |
|
value: 14.568 |
|
- type: mrr_at_1 |
|
value: 21.173000000000002 |
|
- type: mrr_at_10 |
|
value: 31.028 |
|
- type: mrr_at_100 |
|
value: 32.061 |
|
- type: mrr_at_1000 |
|
value: 32.119 |
|
- type: mrr_at_3 |
|
value: 27.534999999999997 |
|
- type: mrr_at_5 |
|
value: 29.431 |
|
- type: ndcg_at_1 |
|
value: 21.173000000000002 |
|
- type: ndcg_at_10 |
|
value: 23.224 |
|
- type: ndcg_at_100 |
|
value: 30.225 |
|
- type: ndcg_at_1000 |
|
value: 33.961000000000006 |
|
- type: ndcg_at_3 |
|
value: 18.174 |
|
- type: ndcg_at_5 |
|
value: 19.897000000000002 |
|
- type: precision_at_1 |
|
value: 21.173000000000002 |
|
- type: precision_at_10 |
|
value: 7.4719999999999995 |
|
- type: precision_at_100 |
|
value: 1.5010000000000001 |
|
- type: precision_at_1000 |
|
value: 0.219 |
|
- type: precision_at_3 |
|
value: 13.312 |
|
- type: precision_at_5 |
|
value: 10.619 |
|
- type: recall_at_1 |
|
value: 9.468 |
|
- type: recall_at_10 |
|
value: 28.823 |
|
- type: recall_at_100 |
|
value: 53.26499999999999 |
|
- type: recall_at_1000 |
|
value: 74.536 |
|
- type: recall_at_3 |
|
value: 16.672 |
|
- type: recall_at_5 |
|
value: 21.302 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: dbpedia-entity |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.343 |
|
- type: map_at_10 |
|
value: 12.717 |
|
- type: map_at_100 |
|
value: 16.48 |
|
- type: map_at_1000 |
|
value: 17.381 |
|
- type: map_at_3 |
|
value: 9.568999999999999 |
|
- type: map_at_5 |
|
value: 11.125 |
|
- type: mrr_at_1 |
|
value: 48.75 |
|
- type: mrr_at_10 |
|
value: 58.425000000000004 |
|
- type: mrr_at_100 |
|
value: 59.075 |
|
- type: mrr_at_1000 |
|
value: 59.095 |
|
- type: mrr_at_3 |
|
value: 56.291999999999994 |
|
- type: mrr_at_5 |
|
value: 57.679 |
|
- type: ndcg_at_1 |
|
value: 37.875 |
|
- type: ndcg_at_10 |
|
value: 27.77 |
|
- type: ndcg_at_100 |
|
value: 30.288999999999998 |
|
- type: ndcg_at_1000 |
|
value: 36.187999999999995 |
|
- type: ndcg_at_3 |
|
value: 31.385999999999996 |
|
- type: ndcg_at_5 |
|
value: 29.923 |
|
- type: precision_at_1 |
|
value: 48.75 |
|
- type: precision_at_10 |
|
value: 22.375 |
|
- type: precision_at_100 |
|
value: 6.3420000000000005 |
|
- type: precision_at_1000 |
|
value: 1.4489999999999998 |
|
- type: precision_at_3 |
|
value: 35.5 |
|
- type: precision_at_5 |
|
value: 30.55 |
|
- type: recall_at_1 |
|
value: 6.343 |
|
- type: recall_at_10 |
|
value: 16.936 |
|
- type: recall_at_100 |
|
value: 35.955999999999996 |
|
- type: recall_at_1000 |
|
value: 55.787 |
|
- type: recall_at_3 |
|
value: 10.771 |
|
- type: recall_at_5 |
|
value: 13.669999999999998 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 41.99 |
|
- type: f1 |
|
value: 36.823402174564954 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fever |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 40.088 |
|
- type: map_at_10 |
|
value: 52.69200000000001 |
|
- type: map_at_100 |
|
value: 53.296 |
|
- type: map_at_1000 |
|
value: 53.325 |
|
- type: map_at_3 |
|
value: 49.905 |
|
- type: map_at_5 |
|
value: 51.617000000000004 |
|
- type: mrr_at_1 |
|
value: 43.009 |
|
- type: mrr_at_10 |
|
value: 56.203 |
|
- type: mrr_at_100 |
|
value: 56.75 |
|
- type: mrr_at_1000 |
|
value: 56.769000000000005 |
|
- type: mrr_at_3 |
|
value: 53.400000000000006 |
|
- type: mrr_at_5 |
|
value: 55.163 |
|
- type: ndcg_at_1 |
|
value: 43.009 |
|
- type: ndcg_at_10 |
|
value: 59.39 |
|
- type: ndcg_at_100 |
|
value: 62.129999999999995 |
|
- type: ndcg_at_1000 |
|
value: 62.793 |
|
- type: ndcg_at_3 |
|
value: 53.878 |
|
- type: ndcg_at_5 |
|
value: 56.887 |
|
- type: precision_at_1 |
|
value: 43.009 |
|
- type: precision_at_10 |
|
value: 8.366 |
|
- type: precision_at_100 |
|
value: 0.983 |
|
- type: precision_at_1000 |
|
value: 0.105 |
|
- type: precision_at_3 |
|
value: 22.377 |
|
- type: precision_at_5 |
|
value: 15.035000000000002 |
|
- type: recall_at_1 |
|
value: 40.088 |
|
- type: recall_at_10 |
|
value: 76.68700000000001 |
|
- type: recall_at_100 |
|
value: 88.91 |
|
- type: recall_at_1000 |
|
value: 93.782 |
|
- type: recall_at_3 |
|
value: 61.809999999999995 |
|
- type: recall_at_5 |
|
value: 69.131 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fiqa |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 10.817 |
|
- type: map_at_10 |
|
value: 18.9 |
|
- type: map_at_100 |
|
value: 20.448 |
|
- type: map_at_1000 |
|
value: 20.660999999999998 |
|
- type: map_at_3 |
|
value: 15.979 |
|
- type: map_at_5 |
|
value: 17.415 |
|
- type: mrr_at_1 |
|
value: 23.148 |
|
- type: mrr_at_10 |
|
value: 31.208000000000002 |
|
- type: mrr_at_100 |
|
value: 32.167 |
|
- type: mrr_at_1000 |
|
value: 32.242 |
|
- type: mrr_at_3 |
|
value: 28.498 |
|
- type: mrr_at_5 |
|
value: 29.964000000000002 |
|
- type: ndcg_at_1 |
|
value: 23.148 |
|
- type: ndcg_at_10 |
|
value: 25.325999999999997 |
|
- type: ndcg_at_100 |
|
value: 31.927 |
|
- type: ndcg_at_1000 |
|
value: 36.081 |
|
- type: ndcg_at_3 |
|
value: 21.647 |
|
- type: ndcg_at_5 |
|
value: 22.762999999999998 |
|
- type: precision_at_1 |
|
value: 23.148 |
|
- type: precision_at_10 |
|
value: 7.546 |
|
- type: precision_at_100 |
|
value: 1.415 |
|
- type: precision_at_1000 |
|
value: 0.216 |
|
- type: precision_at_3 |
|
value: 14.969 |
|
- type: precision_at_5 |
|
value: 11.327 |
|
- type: recall_at_1 |
|
value: 10.817 |
|
- type: recall_at_10 |
|
value: 32.164 |
|
- type: recall_at_100 |
|
value: 57.655 |
|
- type: recall_at_1000 |
|
value: 82.797 |
|
- type: recall_at_3 |
|
value: 19.709 |
|
- type: recall_at_5 |
|
value: 24.333 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: hotpotqa |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 25.380999999999997 |
|
- type: map_at_10 |
|
value: 33.14 |
|
- type: map_at_100 |
|
value: 33.948 |
|
- type: map_at_1000 |
|
value: 34.028000000000006 |
|
- type: map_at_3 |
|
value: 31.019999999999996 |
|
- type: map_at_5 |
|
value: 32.23 |
|
- type: mrr_at_1 |
|
value: 50.763000000000005 |
|
- type: mrr_at_10 |
|
value: 57.899 |
|
- type: mrr_at_100 |
|
value: 58.426 |
|
- type: mrr_at_1000 |
|
value: 58.457 |
|
- type: mrr_at_3 |
|
value: 56.093 |
|
- type: mrr_at_5 |
|
value: 57.116 |
|
- type: ndcg_at_1 |
|
value: 50.763000000000005 |
|
- type: ndcg_at_10 |
|
value: 41.656 |
|
- type: ndcg_at_100 |
|
value: 45.079 |
|
- type: ndcg_at_1000 |
|
value: 46.916999999999994 |
|
- type: ndcg_at_3 |
|
value: 37.834 |
|
- type: ndcg_at_5 |
|
value: 39.732 |
|
- type: precision_at_1 |
|
value: 50.763000000000005 |
|
- type: precision_at_10 |
|
value: 8.648 |
|
- type: precision_at_100 |
|
value: 1.135 |
|
- type: precision_at_1000 |
|
value: 0.13799999999999998 |
|
- type: precision_at_3 |
|
value: 23.105999999999998 |
|
- type: precision_at_5 |
|
value: 15.363 |
|
- type: recall_at_1 |
|
value: 25.380999999999997 |
|
- type: recall_at_10 |
|
value: 43.241 |
|
- type: recall_at_100 |
|
value: 56.745000000000005 |
|
- type: recall_at_1000 |
|
value: 69.048 |
|
- type: recall_at_3 |
|
value: 34.659 |
|
- type: recall_at_5 |
|
value: 38.406 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 79.544 |
|
- type: ap |
|
value: 73.82920133396664 |
|
- type: f1 |
|
value: 79.51048124883265 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: msmarco |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 11.174000000000001 |
|
- type: map_at_10 |
|
value: 19.451999999999998 |
|
- type: map_at_100 |
|
value: 20.612 |
|
- type: map_at_1000 |
|
value: 20.703 |
|
- type: map_at_3 |
|
value: 16.444 |
|
- type: map_at_5 |
|
value: 18.083 |
|
- type: mrr_at_1 |
|
value: 11.447000000000001 |
|
- type: mrr_at_10 |
|
value: 19.808 |
|
- type: mrr_at_100 |
|
value: 20.958 |
|
- type: mrr_at_1000 |
|
value: 21.041999999999998 |
|
- type: mrr_at_3 |
|
value: 16.791 |
|
- type: mrr_at_5 |
|
value: 18.459 |
|
- type: ndcg_at_1 |
|
value: 11.447000000000001 |
|
- type: ndcg_at_10 |
|
value: 24.556 |
|
- type: ndcg_at_100 |
|
value: 30.637999999999998 |
|
- type: ndcg_at_1000 |
|
value: 33.14 |
|
- type: ndcg_at_3 |
|
value: 18.325 |
|
- type: ndcg_at_5 |
|
value: 21.278 |
|
- type: precision_at_1 |
|
value: 11.447000000000001 |
|
- type: precision_at_10 |
|
value: 4.215 |
|
- type: precision_at_100 |
|
value: 0.732 |
|
- type: precision_at_1000 |
|
value: 0.095 |
|
- type: precision_at_3 |
|
value: 8.052 |
|
- type: precision_at_5 |
|
value: 6.318 |
|
- type: recall_at_1 |
|
value: 11.174000000000001 |
|
- type: recall_at_10 |
|
value: 40.543 |
|
- type: recall_at_100 |
|
value: 69.699 |
|
- type: recall_at_1000 |
|
value: 89.403 |
|
- type: recall_at_3 |
|
value: 23.442 |
|
- type: recall_at_5 |
|
value: 30.536 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 89.6671226630187 |
|
- type: f1 |
|
value: 89.57660424361246 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 60.284997720018254 |
|
- type: f1 |
|
value: 40.30637400152823 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 63.33557498318763 |
|
- type: f1 |
|
value: 60.24039910680179 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 72.37390719569603 |
|
- type: f1 |
|
value: 72.33097333477316 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 34.68158939060552 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 30.340061711905236 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/mind_small |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 32.01814326295803 |
|
- type: mrr |
|
value: 33.20555240055367 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nfcorpus |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.3910000000000005 |
|
- type: map_at_10 |
|
value: 7.7219999999999995 |
|
- type: map_at_100 |
|
value: 10.286 |
|
- type: map_at_1000 |
|
value: 11.668000000000001 |
|
- type: map_at_3 |
|
value: 5.552 |
|
- type: map_at_5 |
|
value: 6.468 |
|
- type: mrr_at_1 |
|
value: 34.365 |
|
- type: mrr_at_10 |
|
value: 42.555 |
|
- type: mrr_at_100 |
|
value: 43.295 |
|
- type: mrr_at_1000 |
|
value: 43.357 |
|
- type: mrr_at_3 |
|
value: 40.299 |
|
- type: mrr_at_5 |
|
value: 41.182 |
|
- type: ndcg_at_1 |
|
value: 31.424000000000003 |
|
- type: ndcg_at_10 |
|
value: 24.758 |
|
- type: ndcg_at_100 |
|
value: 23.677999999999997 |
|
- type: ndcg_at_1000 |
|
value: 33.377 |
|
- type: ndcg_at_3 |
|
value: 28.302 |
|
- type: ndcg_at_5 |
|
value: 26.342 |
|
- type: precision_at_1 |
|
value: 33.437 |
|
- type: precision_at_10 |
|
value: 19.256999999999998 |
|
- type: precision_at_100 |
|
value: 6.662999999999999 |
|
- type: precision_at_1000 |
|
value: 1.9900000000000002 |
|
- type: precision_at_3 |
|
value: 27.761000000000003 |
|
- type: precision_at_5 |
|
value: 23.715 |
|
- type: recall_at_1 |
|
value: 3.3910000000000005 |
|
- type: recall_at_10 |
|
value: 11.068 |
|
- type: recall_at_100 |
|
value: 25.878 |
|
- type: recall_at_1000 |
|
value: 60.19 |
|
- type: recall_at_3 |
|
value: 6.1690000000000005 |
|
- type: recall_at_5 |
|
value: 7.767 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nq |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 15.168000000000001 |
|
- type: map_at_10 |
|
value: 26.177 |
|
- type: map_at_100 |
|
value: 27.564 |
|
- type: map_at_1000 |
|
value: 27.628999999999998 |
|
- type: map_at_3 |
|
value: 22.03 |
|
- type: map_at_5 |
|
value: 24.276 |
|
- type: mrr_at_1 |
|
value: 17.439 |
|
- type: mrr_at_10 |
|
value: 28.205000000000002 |
|
- type: mrr_at_100 |
|
value: 29.357 |
|
- type: mrr_at_1000 |
|
value: 29.408 |
|
- type: mrr_at_3 |
|
value: 24.377 |
|
- type: mrr_at_5 |
|
value: 26.540000000000003 |
|
- type: ndcg_at_1 |
|
value: 17.41 |
|
- type: ndcg_at_10 |
|
value: 32.936 |
|
- type: ndcg_at_100 |
|
value: 39.196999999999996 |
|
- type: ndcg_at_1000 |
|
value: 40.892 |
|
- type: ndcg_at_3 |
|
value: 24.721 |
|
- type: ndcg_at_5 |
|
value: 28.615000000000002 |
|
- type: precision_at_1 |
|
value: 17.41 |
|
- type: precision_at_10 |
|
value: 6.199000000000001 |
|
- type: precision_at_100 |
|
value: 0.9690000000000001 |
|
- type: precision_at_1000 |
|
value: 0.11299999999999999 |
|
- type: precision_at_3 |
|
value: 11.790000000000001 |
|
- type: precision_at_5 |
|
value: 9.264 |
|
- type: recall_at_1 |
|
value: 15.168000000000001 |
|
- type: recall_at_10 |
|
value: 51.914 |
|
- type: recall_at_100 |
|
value: 79.804 |
|
- type: recall_at_1000 |
|
value: 92.75999999999999 |
|
- type: recall_at_3 |
|
value: 30.212 |
|
- type: recall_at_5 |
|
value: 39.204 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: quora |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 67.306 |
|
- type: map_at_10 |
|
value: 80.634 |
|
- type: map_at_100 |
|
value: 81.349 |
|
- type: map_at_1000 |
|
value: 81.37299999999999 |
|
- type: map_at_3 |
|
value: 77.691 |
|
- type: map_at_5 |
|
value: 79.512 |
|
- type: mrr_at_1 |
|
value: 77.56 |
|
- type: mrr_at_10 |
|
value: 84.177 |
|
- type: mrr_at_100 |
|
value: 84.35000000000001 |
|
- type: mrr_at_1000 |
|
value: 84.353 |
|
- type: mrr_at_3 |
|
value: 83.003 |
|
- type: mrr_at_5 |
|
value: 83.799 |
|
- type: ndcg_at_1 |
|
value: 77.58 |
|
- type: ndcg_at_10 |
|
value: 84.782 |
|
- type: ndcg_at_100 |
|
value: 86.443 |
|
- type: ndcg_at_1000 |
|
value: 86.654 |
|
- type: ndcg_at_3 |
|
value: 81.67 |
|
- type: ndcg_at_5 |
|
value: 83.356 |
|
- type: precision_at_1 |
|
value: 77.58 |
|
- type: precision_at_10 |
|
value: 12.875 |
|
- type: precision_at_100 |
|
value: 1.503 |
|
- type: precision_at_1000 |
|
value: 0.156 |
|
- type: precision_at_3 |
|
value: 35.63 |
|
- type: precision_at_5 |
|
value: 23.483999999999998 |
|
- type: recall_at_1 |
|
value: 67.306 |
|
- type: recall_at_10 |
|
value: 92.64 |
|
- type: recall_at_100 |
|
value: 98.681 |
|
- type: recall_at_1000 |
|
value: 99.79 |
|
- type: recall_at_3 |
|
value: 83.682 |
|
- type: recall_at_5 |
|
value: 88.424 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 50.76319866126382 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 55.024711941648995 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scidocs |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.9379999999999997 |
|
- type: map_at_10 |
|
value: 8.817 |
|
- type: map_at_100 |
|
value: 10.546999999999999 |
|
- type: map_at_1000 |
|
value: 10.852 |
|
- type: map_at_3 |
|
value: 6.351999999999999 |
|
- type: map_at_5 |
|
value: 7.453 |
|
- type: mrr_at_1 |
|
value: 19.400000000000002 |
|
- type: mrr_at_10 |
|
value: 27.371000000000002 |
|
- type: mrr_at_100 |
|
value: 28.671999999999997 |
|
- type: mrr_at_1000 |
|
value: 28.747 |
|
- type: mrr_at_3 |
|
value: 24.583 |
|
- type: mrr_at_5 |
|
value: 26.143 |
|
- type: ndcg_at_1 |
|
value: 19.400000000000002 |
|
- type: ndcg_at_10 |
|
value: 15.264 |
|
- type: ndcg_at_100 |
|
value: 22.63 |
|
- type: ndcg_at_1000 |
|
value: 28.559 |
|
- type: ndcg_at_3 |
|
value: 14.424999999999999 |
|
- type: ndcg_at_5 |
|
value: 12.520000000000001 |
|
- type: precision_at_1 |
|
value: 19.400000000000002 |
|
- type: precision_at_10 |
|
value: 7.8100000000000005 |
|
- type: precision_at_100 |
|
value: 1.854 |
|
- type: precision_at_1000 |
|
value: 0.329 |
|
- type: precision_at_3 |
|
value: 13.100000000000001 |
|
- type: precision_at_5 |
|
value: 10.68 |
|
- type: recall_at_1 |
|
value: 3.9379999999999997 |
|
- type: recall_at_10 |
|
value: 15.903 |
|
- type: recall_at_100 |
|
value: 37.645 |
|
- type: recall_at_1000 |
|
value: 66.86 |
|
- type: recall_at_3 |
|
value: 7.993 |
|
- type: recall_at_5 |
|
value: 10.885 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.12689060151425 |
|
- type: cos_sim_spearman |
|
value: 70.46515535094771 |
|
- type: euclidean_pearson |
|
value: 77.17160003557223 |
|
- type: euclidean_spearman |
|
value: 70.4651757047438 |
|
- type: manhattan_pearson |
|
value: 77.18129609281937 |
|
- type: manhattan_spearman |
|
value: 70.46610403752913 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 70.451157033355 |
|
- type: cos_sim_spearman |
|
value: 63.99899601697852 |
|
- type: euclidean_pearson |
|
value: 67.46985359967678 |
|
- type: euclidean_spearman |
|
value: 64.00001637764805 |
|
- type: manhattan_pearson |
|
value: 67.56534741780037 |
|
- type: manhattan_spearman |
|
value: 64.06533893575366 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 77.65086614464292 |
|
- type: cos_sim_spearman |
|
value: 78.20169706921848 |
|
- type: euclidean_pearson |
|
value: 77.77758172155283 |
|
- type: euclidean_spearman |
|
value: 78.20169706921848 |
|
- type: manhattan_pearson |
|
value: 77.75077884860052 |
|
- type: manhattan_spearman |
|
value: 78.16875216484164 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 76.26381598259717 |
|
- type: cos_sim_spearman |
|
value: 70.78377709313477 |
|
- type: euclidean_pearson |
|
value: 74.82646556532096 |
|
- type: euclidean_spearman |
|
value: 70.78377658155212 |
|
- type: manhattan_pearson |
|
value: 74.81784766108225 |
|
- type: manhattan_spearman |
|
value: 70.79351454692176 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 79.00532026789739 |
|
- type: cos_sim_spearman |
|
value: 80.02708383244838 |
|
- type: euclidean_pearson |
|
value: 79.48345422610525 |
|
- type: euclidean_spearman |
|
value: 80.02708383244838 |
|
- type: manhattan_pearson |
|
value: 79.44519739854803 |
|
- type: manhattan_spearman |
|
value: 79.98344094559687 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 77.32783048164805 |
|
- type: cos_sim_spearman |
|
value: 78.79729961288045 |
|
- type: euclidean_pearson |
|
value: 78.72111945793154 |
|
- type: euclidean_spearman |
|
value: 78.79729904606872 |
|
- type: manhattan_pearson |
|
value: 78.72464311117116 |
|
- type: manhattan_spearman |
|
value: 78.822591248334 |
|
- 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: 82.04318630630854 |
|
- type: cos_sim_spearman |
|
value: 83.87886389259836 |
|
- type: euclidean_pearson |
|
value: 83.40385877895086 |
|
- type: euclidean_spearman |
|
value: 83.87886389259836 |
|
- type: manhattan_pearson |
|
value: 83.46337128901547 |
|
- type: manhattan_spearman |
|
value: 83.9723106941644 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts22-crosslingual-sts |
|
name: MTEB STS22 (en) |
|
config: en |
|
split: test |
|
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 63.003511169944595 |
|
- type: cos_sim_spearman |
|
value: 64.39318805580227 |
|
- type: euclidean_pearson |
|
value: 65.4797990735967 |
|
- type: euclidean_spearman |
|
value: 64.39318805580227 |
|
- type: manhattan_pearson |
|
value: 65.44604544280844 |
|
- type: manhattan_spearman |
|
value: 64.38742899984233 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 76.63101237585029 |
|
- type: cos_sim_spearman |
|
value: 75.57446967644269 |
|
- type: euclidean_pearson |
|
value: 76.93491768734478 |
|
- type: euclidean_spearman |
|
value: 75.57446967644269 |
|
- type: manhattan_pearson |
|
value: 76.92187567800636 |
|
- type: manhattan_spearman |
|
value: 75.57239337194585 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 78.5376604868993 |
|
- type: mrr |
|
value: 92.94422897364073 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scifact |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 38.872 |
|
- type: map_at_10 |
|
value: 50.417 |
|
- type: map_at_100 |
|
value: 51.202000000000005 |
|
- type: map_at_1000 |
|
value: 51.25999999999999 |
|
- type: map_at_3 |
|
value: 47.02 |
|
- type: map_at_5 |
|
value: 49.326 |
|
- type: mrr_at_1 |
|
value: 41.0 |
|
- type: mrr_at_10 |
|
value: 51.674 |
|
- type: mrr_at_100 |
|
value: 52.32599999999999 |
|
- type: mrr_at_1000 |
|
value: 52.376999999999995 |
|
- type: mrr_at_3 |
|
value: 48.778 |
|
- type: mrr_at_5 |
|
value: 50.744 |
|
- type: ndcg_at_1 |
|
value: 41.0 |
|
- type: ndcg_at_10 |
|
value: 56.027 |
|
- type: ndcg_at_100 |
|
value: 59.362 |
|
- type: ndcg_at_1000 |
|
value: 60.839 |
|
- type: ndcg_at_3 |
|
value: 50.019999999999996 |
|
- type: ndcg_at_5 |
|
value: 53.644999999999996 |
|
- type: precision_at_1 |
|
value: 41.0 |
|
- type: precision_at_10 |
|
value: 8.1 |
|
- type: precision_at_100 |
|
value: 0.987 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 20.444000000000003 |
|
- type: precision_at_5 |
|
value: 14.466999999999999 |
|
- type: recall_at_1 |
|
value: 38.872 |
|
- type: recall_at_10 |
|
value: 71.906 |
|
- type: recall_at_100 |
|
value: 86.367 |
|
- type: recall_at_1000 |
|
value: 98.0 |
|
- type: recall_at_3 |
|
value: 56.206 |
|
- type: recall_at_5 |
|
value: 65.05 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.7039603960396 |
|
- type: cos_sim_ap |
|
value: 90.40809844250262 |
|
- type: cos_sim_f1 |
|
value: 84.53181583031557 |
|
- type: cos_sim_precision |
|
value: 87.56698821007502 |
|
- type: cos_sim_recall |
|
value: 81.69999999999999 |
|
- type: dot_accuracy |
|
value: 99.7039603960396 |
|
- type: dot_ap |
|
value: 90.40809844250262 |
|
- type: dot_f1 |
|
value: 84.53181583031557 |
|
- type: dot_precision |
|
value: 87.56698821007502 |
|
- type: dot_recall |
|
value: 81.69999999999999 |
|
- type: euclidean_accuracy |
|
value: 99.7039603960396 |
|
- type: euclidean_ap |
|
value: 90.4080982863383 |
|
- type: euclidean_f1 |
|
value: 84.53181583031557 |
|
- type: euclidean_precision |
|
value: 87.56698821007502 |
|
- type: euclidean_recall |
|
value: 81.69999999999999 |
|
- type: manhattan_accuracy |
|
value: 99.7 |
|
- type: manhattan_ap |
|
value: 90.39771161966652 |
|
- type: manhattan_f1 |
|
value: 84.32989690721648 |
|
- type: manhattan_precision |
|
value: 87.02127659574468 |
|
- type: manhattan_recall |
|
value: 81.8 |
|
- type: max_accuracy |
|
value: 99.7039603960396 |
|
- type: max_ap |
|
value: 90.40809844250262 |
|
- type: max_f1 |
|
value: 84.53181583031557 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 59.663210666678715 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 32.107791216468776 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 46.440691925067604 |
|
- type: mrr |
|
value: 47.03390257618199 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: mteb/summeval |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 31.067177519784074 |
|
- type: cos_sim_spearman |
|
value: 31.234728424648967 |
|
- type: dot_pearson |
|
value: 31.06717083018107 |
|
- type: dot_spearman |
|
value: 31.234728424648967 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: trec-covid |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.136 |
|
- type: map_at_10 |
|
value: 0.767 |
|
- type: map_at_100 |
|
value: 3.3689999999999998 |
|
- type: map_at_1000 |
|
value: 8.613999999999999 |
|
- type: map_at_3 |
|
value: 0.369 |
|
- type: map_at_5 |
|
value: 0.514 |
|
- type: mrr_at_1 |
|
value: 48.0 |
|
- type: mrr_at_10 |
|
value: 63.908 |
|
- type: mrr_at_100 |
|
value: 64.615 |
|
- type: mrr_at_1000 |
|
value: 64.615 |
|
- type: mrr_at_3 |
|
value: 62.0 |
|
- type: mrr_at_5 |
|
value: 63.4 |
|
- type: ndcg_at_1 |
|
value: 44.0 |
|
- type: ndcg_at_10 |
|
value: 38.579 |
|
- type: ndcg_at_100 |
|
value: 26.409 |
|
- type: ndcg_at_1000 |
|
value: 26.858999999999998 |
|
- type: ndcg_at_3 |
|
value: 47.134 |
|
- type: ndcg_at_5 |
|
value: 43.287 |
|
- type: precision_at_1 |
|
value: 48.0 |
|
- type: precision_at_10 |
|
value: 40.400000000000006 |
|
- type: precision_at_100 |
|
value: 26.640000000000004 |
|
- type: precision_at_1000 |
|
value: 12.04 |
|
- type: precision_at_3 |
|
value: 52.666999999999994 |
|
- type: precision_at_5 |
|
value: 46.800000000000004 |
|
- type: recall_at_1 |
|
value: 0.136 |
|
- type: recall_at_10 |
|
value: 1.0070000000000001 |
|
- type: recall_at_100 |
|
value: 6.318 |
|
- type: recall_at_1000 |
|
value: 26.522000000000002 |
|
- type: recall_at_3 |
|
value: 0.41700000000000004 |
|
- type: recall_at_5 |
|
value: 0.606 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: webis-touche2020 |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 1.9949999999999999 |
|
- type: map_at_10 |
|
value: 8.304 |
|
- type: map_at_100 |
|
value: 13.644 |
|
- type: map_at_1000 |
|
value: 15.43 |
|
- type: map_at_3 |
|
value: 4.788 |
|
- type: map_at_5 |
|
value: 6.22 |
|
- type: mrr_at_1 |
|
value: 22.448999999999998 |
|
- type: mrr_at_10 |
|
value: 37.658 |
|
- type: mrr_at_100 |
|
value: 38.491 |
|
- type: mrr_at_1000 |
|
value: 38.503 |
|
- type: mrr_at_3 |
|
value: 32.312999999999995 |
|
- type: mrr_at_5 |
|
value: 35.68 |
|
- type: ndcg_at_1 |
|
value: 21.429000000000002 |
|
- type: ndcg_at_10 |
|
value: 18.995 |
|
- type: ndcg_at_100 |
|
value: 32.029999999999994 |
|
- type: ndcg_at_1000 |
|
value: 44.852 |
|
- type: ndcg_at_3 |
|
value: 19.464000000000002 |
|
- type: ndcg_at_5 |
|
value: 19.172 |
|
- type: precision_at_1 |
|
value: 22.448999999999998 |
|
- type: precision_at_10 |
|
value: 17.143 |
|
- type: precision_at_100 |
|
value: 6.877999999999999 |
|
- type: precision_at_1000 |
|
value: 1.524 |
|
- type: precision_at_3 |
|
value: 21.769 |
|
- type: precision_at_5 |
|
value: 20.0 |
|
- type: recall_at_1 |
|
value: 1.9949999999999999 |
|
- type: recall_at_10 |
|
value: 13.395999999999999 |
|
- type: recall_at_100 |
|
value: 44.348 |
|
- type: recall_at_1000 |
|
value: 82.622 |
|
- type: recall_at_3 |
|
value: 5.896 |
|
- type: recall_at_5 |
|
value: 8.554 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 67.9394 |
|
- type: ap |
|
value: 12.943337263423334 |
|
- type: f1 |
|
value: 52.28243093094156 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 56.414827391058296 |
|
- type: f1 |
|
value: 56.666412409573105 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 47.009746255495465 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 84.02574953805807 |
|
- type: cos_sim_ap |
|
value: 67.66599910763128 |
|
- type: cos_sim_f1 |
|
value: 63.491277990844985 |
|
- type: cos_sim_precision |
|
value: 59.77172140694154 |
|
- type: cos_sim_recall |
|
value: 67.70448548812665 |
|
- type: dot_accuracy |
|
value: 84.02574953805807 |
|
- type: dot_ap |
|
value: 67.66600090945406 |
|
- type: dot_f1 |
|
value: 63.491277990844985 |
|
- type: dot_precision |
|
value: 59.77172140694154 |
|
- type: dot_recall |
|
value: 67.70448548812665 |
|
- type: euclidean_accuracy |
|
value: 84.02574953805807 |
|
- type: euclidean_ap |
|
value: 67.6659842364448 |
|
- type: euclidean_f1 |
|
value: 63.491277990844985 |
|
- type: euclidean_precision |
|
value: 59.77172140694154 |
|
- type: euclidean_recall |
|
value: 67.70448548812665 |
|
- type: manhattan_accuracy |
|
value: 84.0317100792752 |
|
- type: manhattan_ap |
|
value: 67.66351692448987 |
|
- type: manhattan_f1 |
|
value: 63.48610948306178 |
|
- type: manhattan_precision |
|
value: 57.11875131828729 |
|
- type: manhattan_recall |
|
value: 71.45118733509234 |
|
- type: max_accuracy |
|
value: 84.0317100792752 |
|
- type: max_ap |
|
value: 67.66600090945406 |
|
- type: max_f1 |
|
value: 63.491277990844985 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.53832421314084 |
|
- type: cos_sim_ap |
|
value: 83.11416594316626 |
|
- type: cos_sim_f1 |
|
value: 75.41118114347518 |
|
- type: cos_sim_precision |
|
value: 73.12839059674504 |
|
- type: cos_sim_recall |
|
value: 77.8410840776101 |
|
- type: dot_accuracy |
|
value: 87.53832421314084 |
|
- type: dot_ap |
|
value: 83.11416226342155 |
|
- type: dot_f1 |
|
value: 75.41118114347518 |
|
- type: dot_precision |
|
value: 73.12839059674504 |
|
- type: dot_recall |
|
value: 77.8410840776101 |
|
- type: euclidean_accuracy |
|
value: 87.53832421314084 |
|
- type: euclidean_ap |
|
value: 83.11416284455395 |
|
- type: euclidean_f1 |
|
value: 75.41118114347518 |
|
- type: euclidean_precision |
|
value: 73.12839059674504 |
|
- type: euclidean_recall |
|
value: 77.8410840776101 |
|
- type: manhattan_accuracy |
|
value: 87.49369348391353 |
|
- type: manhattan_ap |
|
value: 83.08066812574694 |
|
- type: manhattan_f1 |
|
value: 75.36561228603892 |
|
- type: manhattan_precision |
|
value: 71.9202518363064 |
|
- type: manhattan_recall |
|
value: 79.15768401601478 |
|
- type: max_accuracy |
|
value: 87.53832421314084 |
|
- type: max_ap |
|
value: 83.11416594316626 |
|
- type: max_f1 |
|
value: 75.41118114347518 |
|
--- |
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