|
--- |
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tags: |
|
- mteb |
|
model-index: |
|
- name: andersonbcdefg/bge-small-4096 |
|
results: |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_counterfactual |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 68.74626865671641 |
|
- type: ap |
|
value: 31.113961861085855 |
|
- type: f1 |
|
value: 62.628656720790275 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 81.30347499999999 |
|
- type: ap |
|
value: 76.05639977935193 |
|
- type: f1 |
|
value: 81.23180016825499 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 38.566 |
|
- type: f1 |
|
value: 38.014543974125615 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: arguana |
|
name: MTEB ArguAna |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.445 |
|
- type: map_at_10 |
|
value: 44.157999999999994 |
|
- type: map_at_100 |
|
value: 45.169 |
|
- type: map_at_1000 |
|
value: 45.178000000000004 |
|
- type: map_at_3 |
|
value: 39.545 |
|
- type: map_at_5 |
|
value: 42.233 |
|
- type: mrr_at_1 |
|
value: 29.445 |
|
- type: mrr_at_10 |
|
value: 44.157999999999994 |
|
- type: mrr_at_100 |
|
value: 45.169 |
|
- type: mrr_at_1000 |
|
value: 45.178000000000004 |
|
- type: mrr_at_3 |
|
value: 39.545 |
|
- type: mrr_at_5 |
|
value: 42.233 |
|
- type: ndcg_at_1 |
|
value: 29.445 |
|
- type: ndcg_at_10 |
|
value: 52.446000000000005 |
|
- type: ndcg_at_100 |
|
value: 56.782 |
|
- type: ndcg_at_1000 |
|
value: 56.989999999999995 |
|
- type: ndcg_at_3 |
|
value: 42.935 |
|
- type: ndcg_at_5 |
|
value: 47.833999999999996 |
|
- type: precision_at_1 |
|
value: 29.445 |
|
- type: precision_at_10 |
|
value: 7.8950000000000005 |
|
- type: precision_at_100 |
|
value: 0.979 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: precision_at_3 |
|
value: 17.591 |
|
- type: precision_at_5 |
|
value: 12.959000000000001 |
|
- type: recall_at_1 |
|
value: 29.445 |
|
- type: recall_at_10 |
|
value: 78.947 |
|
- type: recall_at_100 |
|
value: 97.937 |
|
- type: recall_at_1000 |
|
value: 99.502 |
|
- type: recall_at_3 |
|
value: 52.774 |
|
- type: recall_at_5 |
|
value: 64.794 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-p2p |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 43.85187820924144 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 29.5939502757938 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/askubuntudupquestions-reranking |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 58.539409343284674 |
|
- type: mrr |
|
value: 71.58982983775228 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/biosses-sts |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 82.31440765254087 |
|
- type: cos_sim_spearman |
|
value: 81.59884723689632 |
|
- type: euclidean_pearson |
|
value: 80.65818473893147 |
|
- type: euclidean_spearman |
|
value: 81.40004752638717 |
|
- type: manhattan_pearson |
|
value: 80.52256901536644 |
|
- type: manhattan_spearman |
|
value: 80.57292024599603 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 79.98376623376623 |
|
- type: f1 |
|
value: 79.91981901371503 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 37.79541356345093 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 26.760513681350375 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 23.794 |
|
- type: map_at_10 |
|
value: 33.361000000000004 |
|
- type: map_at_100 |
|
value: 34.86 |
|
- type: map_at_1000 |
|
value: 35.0 |
|
- type: map_at_3 |
|
value: 30.579 |
|
- type: map_at_5 |
|
value: 31.996000000000002 |
|
- type: mrr_at_1 |
|
value: 30.186 |
|
- type: mrr_at_10 |
|
value: 39.681 |
|
- type: mrr_at_100 |
|
value: 40.616 |
|
- type: mrr_at_1000 |
|
value: 40.669 |
|
- type: mrr_at_3 |
|
value: 37.244 |
|
- type: mrr_at_5 |
|
value: 38.588 |
|
- type: ndcg_at_1 |
|
value: 30.186 |
|
- type: ndcg_at_10 |
|
value: 39.34 |
|
- type: ndcg_at_100 |
|
value: 45.266 |
|
- type: ndcg_at_1000 |
|
value: 47.9 |
|
- type: ndcg_at_3 |
|
value: 35.164 |
|
- type: ndcg_at_5 |
|
value: 36.854 |
|
- type: precision_at_1 |
|
value: 30.186 |
|
- type: precision_at_10 |
|
value: 7.639 |
|
- type: precision_at_100 |
|
value: 1.328 |
|
- type: precision_at_1000 |
|
value: 0.183 |
|
- type: precision_at_3 |
|
value: 17.31 |
|
- type: precision_at_5 |
|
value: 12.275 |
|
- type: recall_at_1 |
|
value: 23.794 |
|
- type: recall_at_10 |
|
value: 50.463 |
|
- type: recall_at_100 |
|
value: 75.268 |
|
- type: recall_at_1000 |
|
value: 93.138 |
|
- type: recall_at_3 |
|
value: 37.797 |
|
- type: recall_at_5 |
|
value: 42.985 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 17.968999999999998 |
|
- type: map_at_10 |
|
value: 23.846999999999998 |
|
- type: map_at_100 |
|
value: 24.712999999999997 |
|
- type: map_at_1000 |
|
value: 24.833 |
|
- type: map_at_3 |
|
value: 22.024 |
|
- type: map_at_5 |
|
value: 23.087 |
|
- type: mrr_at_1 |
|
value: 22.038 |
|
- type: mrr_at_10 |
|
value: 27.808 |
|
- type: mrr_at_100 |
|
value: 28.532999999999998 |
|
- type: mrr_at_1000 |
|
value: 28.604000000000003 |
|
- type: mrr_at_3 |
|
value: 26.029999999999998 |
|
- type: mrr_at_5 |
|
value: 27.122 |
|
- type: ndcg_at_1 |
|
value: 22.038 |
|
- type: ndcg_at_10 |
|
value: 27.559 |
|
- type: ndcg_at_100 |
|
value: 31.541999999999998 |
|
- type: ndcg_at_1000 |
|
value: 34.343 |
|
- type: ndcg_at_3 |
|
value: 24.585 |
|
- type: ndcg_at_5 |
|
value: 26.026 |
|
- type: precision_at_1 |
|
value: 22.038 |
|
- type: precision_at_10 |
|
value: 5.019 |
|
- type: precision_at_100 |
|
value: 0.8920000000000001 |
|
- type: precision_at_1000 |
|
value: 0.13899999999999998 |
|
- type: precision_at_3 |
|
value: 11.423 |
|
- type: precision_at_5 |
|
value: 8.28 |
|
- type: recall_at_1 |
|
value: 17.968999999999998 |
|
- type: recall_at_10 |
|
value: 34.583000000000006 |
|
- type: recall_at_100 |
|
value: 51.849000000000004 |
|
- type: recall_at_1000 |
|
value: 70.832 |
|
- type: recall_at_3 |
|
value: 26.057000000000002 |
|
- type: recall_at_5 |
|
value: 29.816 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.183999999999997 |
|
- type: map_at_10 |
|
value: 40.245 |
|
- type: map_at_100 |
|
value: 41.324 |
|
- type: map_at_1000 |
|
value: 41.402 |
|
- type: map_at_3 |
|
value: 37.395 |
|
- type: map_at_5 |
|
value: 38.964999999999996 |
|
- type: mrr_at_1 |
|
value: 33.981 |
|
- type: mrr_at_10 |
|
value: 43.471 |
|
- type: mrr_at_100 |
|
value: 44.303 |
|
- type: mrr_at_1000 |
|
value: 44.352999999999994 |
|
- type: mrr_at_3 |
|
value: 41.149 |
|
- type: mrr_at_5 |
|
value: 42.466 |
|
- type: ndcg_at_1 |
|
value: 33.981 |
|
- type: ndcg_at_10 |
|
value: 45.776 |
|
- type: ndcg_at_100 |
|
value: 50.441 |
|
- type: ndcg_at_1000 |
|
value: 52.16 |
|
- type: ndcg_at_3 |
|
value: 40.756 |
|
- type: ndcg_at_5 |
|
value: 43.132 |
|
- type: precision_at_1 |
|
value: 33.981 |
|
- type: precision_at_10 |
|
value: 7.617999999999999 |
|
- type: precision_at_100 |
|
value: 1.083 |
|
- type: precision_at_1000 |
|
value: 0.129 |
|
- type: precision_at_3 |
|
value: 18.558 |
|
- type: precision_at_5 |
|
value: 12.915 |
|
- type: recall_at_1 |
|
value: 29.183999999999997 |
|
- type: recall_at_10 |
|
value: 59.114 |
|
- type: recall_at_100 |
|
value: 79.549 |
|
- type: recall_at_1000 |
|
value: 91.925 |
|
- type: recall_at_3 |
|
value: 45.551 |
|
- type: recall_at_5 |
|
value: 51.38399999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 20.286 |
|
- type: map_at_10 |
|
value: 27.143 |
|
- type: map_at_100 |
|
value: 28.107 |
|
- type: map_at_1000 |
|
value: 28.212 |
|
- type: map_at_3 |
|
value: 25.149 |
|
- type: map_at_5 |
|
value: 26.179999999999996 |
|
- type: mrr_at_1 |
|
value: 22.034000000000002 |
|
- type: mrr_at_10 |
|
value: 28.875 |
|
- type: mrr_at_100 |
|
value: 29.785 |
|
- type: mrr_at_1000 |
|
value: 29.876 |
|
- type: mrr_at_3 |
|
value: 27.023999999999997 |
|
- type: mrr_at_5 |
|
value: 28.058 |
|
- type: ndcg_at_1 |
|
value: 22.034000000000002 |
|
- type: ndcg_at_10 |
|
value: 31.148999999999997 |
|
- type: ndcg_at_100 |
|
value: 35.936 |
|
- type: ndcg_at_1000 |
|
value: 38.682 |
|
- type: ndcg_at_3 |
|
value: 27.230999999999998 |
|
- type: ndcg_at_5 |
|
value: 29.034 |
|
- type: precision_at_1 |
|
value: 22.034000000000002 |
|
- type: precision_at_10 |
|
value: 4.836 |
|
- type: precision_at_100 |
|
value: 0.754 |
|
- type: precision_at_1000 |
|
value: 0.10300000000000001 |
|
- type: precision_at_3 |
|
value: 11.562999999999999 |
|
- type: precision_at_5 |
|
value: 8.068 |
|
- type: recall_at_1 |
|
value: 20.286 |
|
- type: recall_at_10 |
|
value: 41.827999999999996 |
|
- type: recall_at_100 |
|
value: 63.922000000000004 |
|
- type: recall_at_1000 |
|
value: 84.639 |
|
- type: recall_at_3 |
|
value: 31.227 |
|
- type: recall_at_5 |
|
value: 35.546 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 13.488 |
|
- type: map_at_10 |
|
value: 18.595 |
|
- type: map_at_100 |
|
value: 19.783 |
|
- type: map_at_1000 |
|
value: 19.918 |
|
- type: map_at_3 |
|
value: 16.274 |
|
- type: map_at_5 |
|
value: 17.558 |
|
- type: mrr_at_1 |
|
value: 16.791 |
|
- type: mrr_at_10 |
|
value: 22.53 |
|
- type: mrr_at_100 |
|
value: 23.651 |
|
- type: mrr_at_1000 |
|
value: 23.738999999999997 |
|
- type: mrr_at_3 |
|
value: 20.232 |
|
- type: mrr_at_5 |
|
value: 21.644 |
|
- type: ndcg_at_1 |
|
value: 16.791 |
|
- type: ndcg_at_10 |
|
value: 22.672 |
|
- type: ndcg_at_100 |
|
value: 28.663 |
|
- type: ndcg_at_1000 |
|
value: 31.954 |
|
- type: ndcg_at_3 |
|
value: 18.372 |
|
- type: ndcg_at_5 |
|
value: 20.47 |
|
- type: precision_at_1 |
|
value: 16.791 |
|
- type: precision_at_10 |
|
value: 4.2540000000000004 |
|
- type: precision_at_100 |
|
value: 0.8370000000000001 |
|
- type: precision_at_1000 |
|
value: 0.125 |
|
- type: precision_at_3 |
|
value: 8.706 |
|
- type: precision_at_5 |
|
value: 6.666999999999999 |
|
- type: recall_at_1 |
|
value: 13.488 |
|
- type: recall_at_10 |
|
value: 31.451 |
|
- type: recall_at_100 |
|
value: 58.085 |
|
- type: recall_at_1000 |
|
value: 81.792 |
|
- type: recall_at_3 |
|
value: 19.811 |
|
- type: recall_at_5 |
|
value: 24.973 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.436 |
|
- type: map_at_10 |
|
value: 29.105999999999998 |
|
- type: map_at_100 |
|
value: 30.442000000000004 |
|
- type: map_at_1000 |
|
value: 30.567 |
|
- type: map_at_3 |
|
value: 26.430999999999997 |
|
- type: map_at_5 |
|
value: 27.866000000000003 |
|
- type: mrr_at_1 |
|
value: 26.083000000000002 |
|
- type: mrr_at_10 |
|
value: 33.975 |
|
- type: mrr_at_100 |
|
value: 35.014 |
|
- type: mrr_at_1000 |
|
value: 35.07 |
|
- type: mrr_at_3 |
|
value: 31.649 |
|
- type: mrr_at_5 |
|
value: 32.944 |
|
- type: ndcg_at_1 |
|
value: 26.083000000000002 |
|
- type: ndcg_at_10 |
|
value: 34.229 |
|
- type: ndcg_at_100 |
|
value: 40.439 |
|
- type: ndcg_at_1000 |
|
value: 43.081 |
|
- type: ndcg_at_3 |
|
value: 29.64 |
|
- type: ndcg_at_5 |
|
value: 31.704 |
|
- type: precision_at_1 |
|
value: 26.083000000000002 |
|
- type: precision_at_10 |
|
value: 6.246 |
|
- type: precision_at_100 |
|
value: 1.1199999999999999 |
|
- type: precision_at_1000 |
|
value: 0.155 |
|
- type: precision_at_3 |
|
value: 13.858999999999998 |
|
- type: precision_at_5 |
|
value: 10.01 |
|
- type: recall_at_1 |
|
value: 21.436 |
|
- type: recall_at_10 |
|
value: 44.938 |
|
- type: recall_at_100 |
|
value: 72.029 |
|
- type: recall_at_1000 |
|
value: 90.009 |
|
- type: recall_at_3 |
|
value: 31.954 |
|
- type: recall_at_5 |
|
value: 37.303 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.217 |
|
- type: map_at_10 |
|
value: 25.16 |
|
- type: map_at_100 |
|
value: 26.490000000000002 |
|
- type: map_at_1000 |
|
value: 26.619 |
|
- type: map_at_3 |
|
value: 22.926 |
|
- type: map_at_5 |
|
value: 24.251 |
|
- type: mrr_at_1 |
|
value: 22.831000000000003 |
|
- type: mrr_at_10 |
|
value: 30.009000000000004 |
|
- type: mrr_at_100 |
|
value: 31.045 |
|
- type: mrr_at_1000 |
|
value: 31.122 |
|
- type: mrr_at_3 |
|
value: 28.025 |
|
- type: mrr_at_5 |
|
value: 29.07 |
|
- type: ndcg_at_1 |
|
value: 22.831000000000003 |
|
- type: ndcg_at_10 |
|
value: 29.664 |
|
- type: ndcg_at_100 |
|
value: 35.900999999999996 |
|
- type: ndcg_at_1000 |
|
value: 38.932 |
|
- type: ndcg_at_3 |
|
value: 26.051000000000002 |
|
- type: ndcg_at_5 |
|
value: 27.741 |
|
- type: precision_at_1 |
|
value: 22.831000000000003 |
|
- type: precision_at_10 |
|
value: 5.479 |
|
- type: precision_at_100 |
|
value: 1.027 |
|
- type: precision_at_1000 |
|
value: 0.146 |
|
- type: precision_at_3 |
|
value: 12.481 |
|
- type: precision_at_5 |
|
value: 8.973 |
|
- type: recall_at_1 |
|
value: 18.217 |
|
- type: recall_at_10 |
|
value: 38.336 |
|
- type: recall_at_100 |
|
value: 65.854 |
|
- type: recall_at_1000 |
|
value: 87.498 |
|
- type: recall_at_3 |
|
value: 28.158 |
|
- type: recall_at_5 |
|
value: 32.841 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.100666666666665 |
|
- type: map_at_10 |
|
value: 26.22883333333333 |
|
- type: map_at_100 |
|
value: 27.34241666666667 |
|
- type: map_at_1000 |
|
value: 27.468416666666666 |
|
- type: map_at_3 |
|
value: 23.953916666666668 |
|
- type: map_at_5 |
|
value: 25.20125 |
|
- type: mrr_at_1 |
|
value: 22.729249999999997 |
|
- type: mrr_at_10 |
|
value: 29.86491666666667 |
|
- type: mrr_at_100 |
|
value: 30.76925 |
|
- type: mrr_at_1000 |
|
value: 30.846333333333337 |
|
- type: mrr_at_3 |
|
value: 27.733999999999998 |
|
- type: mrr_at_5 |
|
value: 28.94058333333333 |
|
- type: ndcg_at_1 |
|
value: 22.729249999999997 |
|
- type: ndcg_at_10 |
|
value: 30.708250000000003 |
|
- type: ndcg_at_100 |
|
value: 35.89083333333333 |
|
- type: ndcg_at_1000 |
|
value: 38.75891666666666 |
|
- type: ndcg_at_3 |
|
value: 26.661083333333334 |
|
- type: ndcg_at_5 |
|
value: 28.54 |
|
- type: precision_at_1 |
|
value: 22.729249999999997 |
|
- type: precision_at_10 |
|
value: 5.433833333333333 |
|
- type: precision_at_100 |
|
value: 0.9486666666666665 |
|
- type: precision_at_1000 |
|
value: 0.13808333333333334 |
|
- type: precision_at_3 |
|
value: 12.292166666666668 |
|
- type: precision_at_5 |
|
value: 8.825 |
|
- type: recall_at_1 |
|
value: 19.100666666666665 |
|
- type: recall_at_10 |
|
value: 40.54208333333334 |
|
- type: recall_at_100 |
|
value: 63.67975 |
|
- type: recall_at_1000 |
|
value: 84.13574999999999 |
|
- type: recall_at_3 |
|
value: 29.311000000000003 |
|
- type: recall_at_5 |
|
value: 34.1105 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 17.762 |
|
- type: map_at_10 |
|
value: 23.905 |
|
- type: map_at_100 |
|
value: 24.663 |
|
- type: map_at_1000 |
|
value: 24.765 |
|
- type: map_at_3 |
|
value: 22.032 |
|
- type: map_at_5 |
|
value: 23.025000000000002 |
|
- type: mrr_at_1 |
|
value: 20.244999999999997 |
|
- type: mrr_at_10 |
|
value: 26.162999999999997 |
|
- type: mrr_at_100 |
|
value: 26.907999999999998 |
|
- type: mrr_at_1000 |
|
value: 26.987 |
|
- type: mrr_at_3 |
|
value: 24.361 |
|
- type: mrr_at_5 |
|
value: 25.326999999999998 |
|
- type: ndcg_at_1 |
|
value: 20.244999999999997 |
|
- type: ndcg_at_10 |
|
value: 27.577 |
|
- type: ndcg_at_100 |
|
value: 31.473000000000003 |
|
- type: ndcg_at_1000 |
|
value: 34.217999999999996 |
|
- type: ndcg_at_3 |
|
value: 24.092 |
|
- type: ndcg_at_5 |
|
value: 25.657000000000004 |
|
- type: precision_at_1 |
|
value: 20.244999999999997 |
|
- type: precision_at_10 |
|
value: 4.433 |
|
- type: precision_at_100 |
|
value: 0.692 |
|
- type: precision_at_1000 |
|
value: 0.099 |
|
- type: precision_at_3 |
|
value: 10.634 |
|
- type: precision_at_5 |
|
value: 7.362 |
|
- type: recall_at_1 |
|
value: 17.762 |
|
- type: recall_at_10 |
|
value: 36.661 |
|
- type: recall_at_100 |
|
value: 54.581999999999994 |
|
- type: recall_at_1000 |
|
value: 75.28099999999999 |
|
- type: recall_at_3 |
|
value: 27.084999999999997 |
|
- type: recall_at_5 |
|
value: 31.064999999999998 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.998000000000001 |
|
- type: map_at_10 |
|
value: 18.926000000000002 |
|
- type: map_at_100 |
|
value: 19.836000000000002 |
|
- type: map_at_1000 |
|
value: 19.96 |
|
- type: map_at_3 |
|
value: 16.932 |
|
- type: map_at_5 |
|
value: 17.963 |
|
- type: mrr_at_1 |
|
value: 15.692 |
|
- type: mrr_at_10 |
|
value: 22.206 |
|
- type: mrr_at_100 |
|
value: 23.021 |
|
- type: mrr_at_1000 |
|
value: 23.108999999999998 |
|
- type: mrr_at_3 |
|
value: 20.114 |
|
- type: mrr_at_5 |
|
value: 21.241 |
|
- type: ndcg_at_1 |
|
value: 15.692 |
|
- type: ndcg_at_10 |
|
value: 22.997999999999998 |
|
- type: ndcg_at_100 |
|
value: 27.541 |
|
- type: ndcg_at_1000 |
|
value: 30.758000000000003 |
|
- type: ndcg_at_3 |
|
value: 19.117 |
|
- type: ndcg_at_5 |
|
value: 20.778 |
|
- type: precision_at_1 |
|
value: 15.692 |
|
- type: precision_at_10 |
|
value: 4.277 |
|
- type: precision_at_100 |
|
value: 0.774 |
|
- type: precision_at_1000 |
|
value: 0.122 |
|
- type: precision_at_3 |
|
value: 9.027000000000001 |
|
- type: precision_at_5 |
|
value: 6.641 |
|
- type: recall_at_1 |
|
value: 12.998000000000001 |
|
- type: recall_at_10 |
|
value: 32.135999999999996 |
|
- type: recall_at_100 |
|
value: 52.937 |
|
- type: recall_at_1000 |
|
value: 76.348 |
|
- type: recall_at_3 |
|
value: 21.292 |
|
- type: recall_at_5 |
|
value: 25.439 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 20.219 |
|
- type: map_at_10 |
|
value: 27.306 |
|
- type: map_at_100 |
|
value: 28.337 |
|
- type: map_at_1000 |
|
value: 28.459 |
|
- type: map_at_3 |
|
value: 25.423000000000002 |
|
- type: map_at_5 |
|
value: 26.375999999999998 |
|
- type: mrr_at_1 |
|
value: 23.787 |
|
- type: mrr_at_10 |
|
value: 30.977 |
|
- type: mrr_at_100 |
|
value: 31.85 |
|
- type: mrr_at_1000 |
|
value: 31.939 |
|
- type: mrr_at_3 |
|
value: 29.073 |
|
- type: mrr_at_5 |
|
value: 30.095 |
|
- type: ndcg_at_1 |
|
value: 23.787 |
|
- type: ndcg_at_10 |
|
value: 31.615 |
|
- type: ndcg_at_100 |
|
value: 36.641 |
|
- type: ndcg_at_1000 |
|
value: 39.707 |
|
- type: ndcg_at_3 |
|
value: 27.994000000000003 |
|
- type: ndcg_at_5 |
|
value: 29.508000000000003 |
|
- type: precision_at_1 |
|
value: 23.787 |
|
- type: precision_at_10 |
|
value: 5.271 |
|
- type: precision_at_100 |
|
value: 0.865 |
|
- type: precision_at_1000 |
|
value: 0.125 |
|
- type: precision_at_3 |
|
value: 12.748999999999999 |
|
- type: precision_at_5 |
|
value: 8.806 |
|
- type: recall_at_1 |
|
value: 20.219 |
|
- type: recall_at_10 |
|
value: 41.108 |
|
- type: recall_at_100 |
|
value: 63.596 |
|
- type: recall_at_1000 |
|
value: 85.54899999999999 |
|
- type: recall_at_3 |
|
value: 31.129 |
|
- type: recall_at_5 |
|
value: 34.845 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.949 |
|
- type: map_at_10 |
|
value: 26.629 |
|
- type: map_at_100 |
|
value: 28.006999999999998 |
|
- type: map_at_1000 |
|
value: 28.221 |
|
- type: map_at_3 |
|
value: 24.099999999999998 |
|
- type: map_at_5 |
|
value: 25.487 |
|
- type: mrr_at_1 |
|
value: 24.111 |
|
- type: mrr_at_10 |
|
value: 30.592000000000002 |
|
- type: mrr_at_100 |
|
value: 31.448999999999998 |
|
- type: mrr_at_1000 |
|
value: 31.538 |
|
- type: mrr_at_3 |
|
value: 28.128999999999998 |
|
- type: mrr_at_5 |
|
value: 29.503 |
|
- type: ndcg_at_1 |
|
value: 24.111 |
|
- type: ndcg_at_10 |
|
value: 31.373 |
|
- type: ndcg_at_100 |
|
value: 36.897999999999996 |
|
- type: ndcg_at_1000 |
|
value: 40.288000000000004 |
|
- type: ndcg_at_3 |
|
value: 26.895000000000003 |
|
- type: ndcg_at_5 |
|
value: 29.009 |
|
- type: precision_at_1 |
|
value: 24.111 |
|
- type: precision_at_10 |
|
value: 6.067 |
|
- type: precision_at_100 |
|
value: 1.269 |
|
- type: precision_at_1000 |
|
value: 0.22 |
|
- type: precision_at_3 |
|
value: 12.385 |
|
- type: precision_at_5 |
|
value: 9.249 |
|
- type: recall_at_1 |
|
value: 19.949 |
|
- type: recall_at_10 |
|
value: 40.394000000000005 |
|
- type: recall_at_100 |
|
value: 65.812 |
|
- type: recall_at_1000 |
|
value: 88.247 |
|
- type: recall_at_3 |
|
value: 28.116000000000003 |
|
- type: recall_at_5 |
|
value: 33.4 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 13.905999999999999 |
|
- type: map_at_10 |
|
value: 20.523 |
|
- type: map_at_100 |
|
value: 21.547 |
|
- type: map_at_1000 |
|
value: 21.665 |
|
- type: map_at_3 |
|
value: 18.182000000000002 |
|
- type: map_at_5 |
|
value: 19.661 |
|
- type: mrr_at_1 |
|
value: 14.972 |
|
- type: mrr_at_10 |
|
value: 22.092 |
|
- type: mrr_at_100 |
|
value: 23.055999999999997 |
|
- type: mrr_at_1000 |
|
value: 23.150000000000002 |
|
- type: mrr_at_3 |
|
value: 19.778000000000002 |
|
- type: mrr_at_5 |
|
value: 21.229 |
|
- type: ndcg_at_1 |
|
value: 14.972 |
|
- type: ndcg_at_10 |
|
value: 24.547 |
|
- type: ndcg_at_100 |
|
value: 29.948999999999998 |
|
- type: ndcg_at_1000 |
|
value: 33.084 |
|
- type: ndcg_at_3 |
|
value: 20.036 |
|
- type: ndcg_at_5 |
|
value: 22.567 |
|
- type: precision_at_1 |
|
value: 14.972 |
|
- type: precision_at_10 |
|
value: 4.067 |
|
- type: precision_at_100 |
|
value: 0.743 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 8.811 |
|
- type: precision_at_5 |
|
value: 6.654 |
|
- type: recall_at_1 |
|
value: 13.905999999999999 |
|
- type: recall_at_10 |
|
value: 35.493 |
|
- type: recall_at_100 |
|
value: 60.67399999999999 |
|
- type: recall_at_1000 |
|
value: 84.371 |
|
- type: recall_at_3 |
|
value: 23.555 |
|
- type: recall_at_5 |
|
value: 29.729 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: climate-fever |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 7.529 |
|
- type: map_at_10 |
|
value: 12.794 |
|
- type: map_at_100 |
|
value: 14.315 |
|
- type: map_at_1000 |
|
value: 14.523 |
|
- type: map_at_3 |
|
value: 10.367999999999999 |
|
- type: map_at_5 |
|
value: 11.546 |
|
- type: mrr_at_1 |
|
value: 16.872999999999998 |
|
- type: mrr_at_10 |
|
value: 25.709 |
|
- type: mrr_at_100 |
|
value: 26.907999999999998 |
|
- type: mrr_at_1000 |
|
value: 26.962000000000003 |
|
- type: mrr_at_3 |
|
value: 22.486 |
|
- type: mrr_at_5 |
|
value: 24.245 |
|
- type: ndcg_at_1 |
|
value: 16.872999999999998 |
|
- type: ndcg_at_10 |
|
value: 19.005 |
|
- type: ndcg_at_100 |
|
value: 25.990999999999996 |
|
- type: ndcg_at_1000 |
|
value: 29.955 |
|
- type: ndcg_at_3 |
|
value: 14.573 |
|
- type: ndcg_at_5 |
|
value: 16.118 |
|
- type: precision_at_1 |
|
value: 16.872999999999998 |
|
- type: precision_at_10 |
|
value: 6.235 |
|
- type: precision_at_100 |
|
value: 1.374 |
|
- type: precision_at_1000 |
|
value: 0.21 |
|
- type: precision_at_3 |
|
value: 10.793 |
|
- type: precision_at_5 |
|
value: 8.73 |
|
- type: recall_at_1 |
|
value: 7.529 |
|
- type: recall_at_10 |
|
value: 24.007 |
|
- type: recall_at_100 |
|
value: 48.742000000000004 |
|
- type: recall_at_1000 |
|
value: 71.35000000000001 |
|
- type: recall_at_3 |
|
value: 13.467 |
|
- type: recall_at_5 |
|
value: 17.502000000000002 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: dbpedia-entity |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 5.614 |
|
- type: map_at_10 |
|
value: 11.42 |
|
- type: map_at_100 |
|
value: 15.873000000000001 |
|
- type: map_at_1000 |
|
value: 17.021 |
|
- type: map_at_3 |
|
value: 8.495 |
|
- type: map_at_5 |
|
value: 9.790000000000001 |
|
- type: mrr_at_1 |
|
value: 42.0 |
|
- type: mrr_at_10 |
|
value: 52.477 |
|
- type: mrr_at_100 |
|
value: 53.095000000000006 |
|
- type: mrr_at_1000 |
|
value: 53.135 |
|
- type: mrr_at_3 |
|
value: 49.833 |
|
- type: mrr_at_5 |
|
value: 51.183 |
|
- type: ndcg_at_1 |
|
value: 31.374999999999996 |
|
- type: ndcg_at_10 |
|
value: 25.27 |
|
- type: ndcg_at_100 |
|
value: 29.709999999999997 |
|
- type: ndcg_at_1000 |
|
value: 36.975 |
|
- type: ndcg_at_3 |
|
value: 27.688000000000002 |
|
- type: ndcg_at_5 |
|
value: 25.987 |
|
- type: precision_at_1 |
|
value: 42.0 |
|
- type: precision_at_10 |
|
value: 21.2 |
|
- type: precision_at_100 |
|
value: 7.053 |
|
- type: precision_at_1000 |
|
value: 1.512 |
|
- type: precision_at_3 |
|
value: 32.333 |
|
- type: precision_at_5 |
|
value: 26.6 |
|
- type: recall_at_1 |
|
value: 5.614 |
|
- type: recall_at_10 |
|
value: 16.112000000000002 |
|
- type: recall_at_100 |
|
value: 36.165000000000006 |
|
- type: recall_at_1000 |
|
value: 60.362 |
|
- type: recall_at_3 |
|
value: 9.761000000000001 |
|
- type: recall_at_5 |
|
value: 12.279 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 40.085 |
|
- type: f1 |
|
value: 35.53934111316537 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fever |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 34.185 |
|
- type: map_at_10 |
|
value: 44.491 |
|
- type: map_at_100 |
|
value: 45.204 |
|
- type: map_at_1000 |
|
value: 45.254 |
|
- type: map_at_3 |
|
value: 42.006 |
|
- type: map_at_5 |
|
value: 43.516 |
|
- type: mrr_at_1 |
|
value: 37.024 |
|
- type: mrr_at_10 |
|
value: 47.524 |
|
- type: mrr_at_100 |
|
value: 48.185 |
|
- type: mrr_at_1000 |
|
value: 48.227 |
|
- type: mrr_at_3 |
|
value: 45.086999999999996 |
|
- type: mrr_at_5 |
|
value: 46.575 |
|
- type: ndcg_at_1 |
|
value: 37.024 |
|
- type: ndcg_at_10 |
|
value: 50.126000000000005 |
|
- type: ndcg_at_100 |
|
value: 53.577 |
|
- type: ndcg_at_1000 |
|
value: 54.906 |
|
- type: ndcg_at_3 |
|
value: 45.25 |
|
- type: ndcg_at_5 |
|
value: 47.842 |
|
- type: precision_at_1 |
|
value: 37.024 |
|
- type: precision_at_10 |
|
value: 7.132 |
|
- type: precision_at_100 |
|
value: 0.898 |
|
- type: precision_at_1000 |
|
value: 0.10300000000000001 |
|
- type: precision_at_3 |
|
value: 18.767 |
|
- type: precision_at_5 |
|
value: 12.676000000000002 |
|
- type: recall_at_1 |
|
value: 34.185 |
|
- type: recall_at_10 |
|
value: 64.703 |
|
- type: recall_at_100 |
|
value: 80.58 |
|
- type: recall_at_1000 |
|
value: 90.742 |
|
- type: recall_at_3 |
|
value: 51.483000000000004 |
|
- type: recall_at_5 |
|
value: 57.775 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fiqa |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.358 |
|
- type: map_at_10 |
|
value: 16.391 |
|
- type: map_at_100 |
|
value: 17.698 |
|
- type: map_at_1000 |
|
value: 17.912 |
|
- type: map_at_3 |
|
value: 13.831 |
|
- type: map_at_5 |
|
value: 15.187000000000001 |
|
- type: mrr_at_1 |
|
value: 18.673000000000002 |
|
- type: mrr_at_10 |
|
value: 26.907999999999998 |
|
- type: mrr_at_100 |
|
value: 27.842 |
|
- type: mrr_at_1000 |
|
value: 27.933000000000003 |
|
- type: mrr_at_3 |
|
value: 24.486 |
|
- type: mrr_at_5 |
|
value: 25.766 |
|
- type: ndcg_at_1 |
|
value: 18.673000000000002 |
|
- type: ndcg_at_10 |
|
value: 22.137 |
|
- type: ndcg_at_100 |
|
value: 28.126 |
|
- type: ndcg_at_1000 |
|
value: 32.489000000000004 |
|
- type: ndcg_at_3 |
|
value: 18.723 |
|
- type: ndcg_at_5 |
|
value: 19.858 |
|
- type: precision_at_1 |
|
value: 18.673000000000002 |
|
- type: precision_at_10 |
|
value: 6.389 |
|
- type: precision_at_100 |
|
value: 1.262 |
|
- type: precision_at_1000 |
|
value: 0.202 |
|
- type: precision_at_3 |
|
value: 12.757 |
|
- type: precision_at_5 |
|
value: 9.753 |
|
- type: recall_at_1 |
|
value: 9.358 |
|
- type: recall_at_10 |
|
value: 28.605000000000004 |
|
- type: recall_at_100 |
|
value: 51.713 |
|
- type: recall_at_1000 |
|
value: 78.408 |
|
- type: recall_at_3 |
|
value: 17.674 |
|
- type: recall_at_5 |
|
value: 21.97 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: hotpotqa |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.997999999999998 |
|
- type: map_at_10 |
|
value: 32.957 |
|
- type: map_at_100 |
|
value: 33.972 |
|
- type: map_at_1000 |
|
value: 34.072 |
|
- type: map_at_3 |
|
value: 30.44 |
|
- type: map_at_5 |
|
value: 31.869999999999997 |
|
- type: mrr_at_1 |
|
value: 45.995999999999995 |
|
- type: mrr_at_10 |
|
value: 54.473000000000006 |
|
- type: mrr_at_100 |
|
value: 55.103 |
|
- type: mrr_at_1000 |
|
value: 55.139 |
|
- type: mrr_at_3 |
|
value: 52.349999999999994 |
|
- type: mrr_at_5 |
|
value: 53.61900000000001 |
|
- type: ndcg_at_1 |
|
value: 45.995999999999995 |
|
- type: ndcg_at_10 |
|
value: 41.333 |
|
- type: ndcg_at_100 |
|
value: 45.635999999999996 |
|
- type: ndcg_at_1000 |
|
value: 47.847 |
|
- type: ndcg_at_3 |
|
value: 36.825 |
|
- type: ndcg_at_5 |
|
value: 39.099000000000004 |
|
- type: precision_at_1 |
|
value: 45.995999999999995 |
|
- type: precision_at_10 |
|
value: 9.020999999999999 |
|
- type: precision_at_100 |
|
value: 1.244 |
|
- type: precision_at_1000 |
|
value: 0.154 |
|
- type: precision_at_3 |
|
value: 23.34 |
|
- type: precision_at_5 |
|
value: 15.8 |
|
- type: recall_at_1 |
|
value: 22.997999999999998 |
|
- type: recall_at_10 |
|
value: 45.105000000000004 |
|
- type: recall_at_100 |
|
value: 62.188 |
|
- type: recall_at_1000 |
|
value: 76.907 |
|
- type: recall_at_3 |
|
value: 35.010000000000005 |
|
- type: recall_at_5 |
|
value: 39.5 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 80.0944 |
|
- type: ap |
|
value: 74.43301569395831 |
|
- type: f1 |
|
value: 80.04407647044388 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: msmarco |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 10.171 |
|
- type: map_at_10 |
|
value: 17.558 |
|
- type: map_at_100 |
|
value: 18.694 |
|
- type: map_at_1000 |
|
value: 18.787000000000003 |
|
- type: map_at_3 |
|
value: 14.826 |
|
- type: map_at_5 |
|
value: 16.249 |
|
- type: mrr_at_1 |
|
value: 10.473 |
|
- type: mrr_at_10 |
|
value: 17.967 |
|
- type: mrr_at_100 |
|
value: 19.089 |
|
- type: mrr_at_1000 |
|
value: 19.177 |
|
- type: mrr_at_3 |
|
value: 15.222 |
|
- type: mrr_at_5 |
|
value: 16.655 |
|
- type: ndcg_at_1 |
|
value: 10.473 |
|
- type: ndcg_at_10 |
|
value: 22.148 |
|
- type: ndcg_at_100 |
|
value: 28.028 |
|
- type: ndcg_at_1000 |
|
value: 30.659 |
|
- type: ndcg_at_3 |
|
value: 16.474 |
|
- type: ndcg_at_5 |
|
value: 19.017 |
|
- type: precision_at_1 |
|
value: 10.473 |
|
- type: precision_at_10 |
|
value: 3.7969999999999997 |
|
- type: precision_at_100 |
|
value: 0.6779999999999999 |
|
- type: precision_at_1000 |
|
value: 0.09 |
|
- type: precision_at_3 |
|
value: 7.187 |
|
- type: precision_at_5 |
|
value: 5.599 |
|
- type: recall_at_1 |
|
value: 10.171 |
|
- type: recall_at_10 |
|
value: 36.459 |
|
- type: recall_at_100 |
|
value: 64.512 |
|
- type: recall_at_1000 |
|
value: 85.27900000000001 |
|
- type: recall_at_3 |
|
value: 20.868000000000002 |
|
- type: recall_at_5 |
|
value: 26.933 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 90.35795713634292 |
|
- type: f1 |
|
value: 89.72064544336776 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 66.4546283629731 |
|
- type: f1 |
|
value: 49.487271168215095 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 67.58238063214527 |
|
- type: f1 |
|
value: 65.54281371907213 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 73.47343644922664 |
|
- type: f1 |
|
value: 72.80522894672785 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 32.53600917473176 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 28.04699774280647 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/mind_small |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 30.984352865575797 |
|
- type: mrr |
|
value: 32.02736001972659 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nfcorpus |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.666 |
|
- type: map_at_10 |
|
value: 10.066 |
|
- type: map_at_100 |
|
value: 12.794 |
|
- type: map_at_1000 |
|
value: 14.184 |
|
- type: map_at_3 |
|
value: 7.622 |
|
- type: map_at_5 |
|
value: 8.587 |
|
- type: mrr_at_1 |
|
value: 39.318999999999996 |
|
- type: mrr_at_10 |
|
value: 47.678 |
|
- type: mrr_at_100 |
|
value: 48.355 |
|
- type: mrr_at_1000 |
|
value: 48.400999999999996 |
|
- type: mrr_at_3 |
|
value: 45.82 |
|
- type: mrr_at_5 |
|
value: 46.656 |
|
- type: ndcg_at_1 |
|
value: 37.926 |
|
- type: ndcg_at_10 |
|
value: 29.049999999999997 |
|
- type: ndcg_at_100 |
|
value: 26.826 |
|
- type: ndcg_at_1000 |
|
value: 35.841 |
|
- type: ndcg_at_3 |
|
value: 33.513 |
|
- type: ndcg_at_5 |
|
value: 31.227 |
|
- type: precision_at_1 |
|
value: 39.318999999999996 |
|
- type: precision_at_10 |
|
value: 21.424000000000003 |
|
- type: precision_at_100 |
|
value: 7.231999999999999 |
|
- type: precision_at_1000 |
|
value: 2.012 |
|
- type: precision_at_3 |
|
value: 30.857 |
|
- type: precision_at_5 |
|
value: 26.378 |
|
- type: recall_at_1 |
|
value: 4.666 |
|
- type: recall_at_10 |
|
value: 13.898 |
|
- type: recall_at_100 |
|
value: 26.983 |
|
- type: recall_at_1000 |
|
value: 59.485 |
|
- type: recall_at_3 |
|
value: 8.953 |
|
- type: recall_at_5 |
|
value: 10.496 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nq |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.26 |
|
- type: map_at_10 |
|
value: 17.907999999999998 |
|
- type: map_at_100 |
|
value: 19.245 |
|
- type: map_at_1000 |
|
value: 19.339000000000002 |
|
- type: map_at_3 |
|
value: 14.634 |
|
- type: map_at_5 |
|
value: 16.386 |
|
- type: mrr_at_1 |
|
value: 10.574 |
|
- type: mrr_at_10 |
|
value: 19.438 |
|
- type: mrr_at_100 |
|
value: 20.638 |
|
- type: mrr_at_1000 |
|
value: 20.715 |
|
- type: mrr_at_3 |
|
value: 16.276 |
|
- type: mrr_at_5 |
|
value: 17.971999999999998 |
|
- type: ndcg_at_1 |
|
value: 10.574 |
|
- type: ndcg_at_10 |
|
value: 23.451 |
|
- type: ndcg_at_100 |
|
value: 29.982 |
|
- type: ndcg_at_1000 |
|
value: 32.449 |
|
- type: ndcg_at_3 |
|
value: 16.817 |
|
- type: ndcg_at_5 |
|
value: 19.867 |
|
- type: precision_at_1 |
|
value: 10.574 |
|
- type: precision_at_10 |
|
value: 4.609 |
|
- type: precision_at_100 |
|
value: 0.8330000000000001 |
|
- type: precision_at_1000 |
|
value: 0.107 |
|
- type: precision_at_3 |
|
value: 8.266 |
|
- type: precision_at_5 |
|
value: 6.6739999999999995 |
|
- type: recall_at_1 |
|
value: 9.26 |
|
- type: recall_at_10 |
|
value: 39.224 |
|
- type: recall_at_100 |
|
value: 69.107 |
|
- type: recall_at_1000 |
|
value: 87.908 |
|
- type: recall_at_3 |
|
value: 21.490000000000002 |
|
- type: recall_at_5 |
|
value: 28.560999999999996 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: quora |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 65.655 |
|
- type: map_at_10 |
|
value: 79.199 |
|
- type: map_at_100 |
|
value: 79.937 |
|
- type: map_at_1000 |
|
value: 79.964 |
|
- type: map_at_3 |
|
value: 76.19399999999999 |
|
- type: map_at_5 |
|
value: 78.08800000000001 |
|
- type: mrr_at_1 |
|
value: 75.53999999999999 |
|
- type: mrr_at_10 |
|
value: 82.89 |
|
- type: mrr_at_100 |
|
value: 83.074 |
|
- type: mrr_at_1000 |
|
value: 83.077 |
|
- type: mrr_at_3 |
|
value: 81.577 |
|
- type: mrr_at_5 |
|
value: 82.452 |
|
- type: ndcg_at_1 |
|
value: 75.53999999999999 |
|
- type: ndcg_at_10 |
|
value: 83.62899999999999 |
|
- type: ndcg_at_100 |
|
value: 85.411 |
|
- type: ndcg_at_1000 |
|
value: 85.646 |
|
- type: ndcg_at_3 |
|
value: 80.23700000000001 |
|
- type: ndcg_at_5 |
|
value: 82.107 |
|
- type: precision_at_1 |
|
value: 75.53999999999999 |
|
- type: precision_at_10 |
|
value: 12.695 |
|
- type: precision_at_100 |
|
value: 1.493 |
|
- type: precision_at_1000 |
|
value: 0.156 |
|
- type: precision_at_3 |
|
value: 34.983 |
|
- type: precision_at_5 |
|
value: 23.164 |
|
- type: recall_at_1 |
|
value: 65.655 |
|
- type: recall_at_10 |
|
value: 92.269 |
|
- type: recall_at_100 |
|
value: 98.598 |
|
- type: recall_at_1000 |
|
value: 99.815 |
|
- type: recall_at_3 |
|
value: 82.616 |
|
- type: recall_at_5 |
|
value: 87.75800000000001 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 43.67844919460687 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 54.32866004447611 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scidocs |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.238 |
|
- type: map_at_10 |
|
value: 8.539 |
|
- type: map_at_100 |
|
value: 10.267 |
|
- type: map_at_1000 |
|
value: 10.552999999999999 |
|
- type: map_at_3 |
|
value: 6.165 |
|
- type: map_at_5 |
|
value: 7.22 |
|
- type: mrr_at_1 |
|
value: 15.9 |
|
- type: mrr_at_10 |
|
value: 25.557999999999996 |
|
- type: mrr_at_100 |
|
value: 26.867 |
|
- type: mrr_at_1000 |
|
value: 26.939 |
|
- type: mrr_at_3 |
|
value: 22.633 |
|
- type: mrr_at_5 |
|
value: 24.233 |
|
- type: ndcg_at_1 |
|
value: 15.9 |
|
- type: ndcg_at_10 |
|
value: 14.954 |
|
- type: ndcg_at_100 |
|
value: 22.486 |
|
- type: ndcg_at_1000 |
|
value: 27.986 |
|
- type: ndcg_at_3 |
|
value: 14.069 |
|
- type: ndcg_at_5 |
|
value: 12.200999999999999 |
|
- type: precision_at_1 |
|
value: 15.9 |
|
- type: precision_at_10 |
|
value: 7.9399999999999995 |
|
- type: precision_at_100 |
|
value: 1.8929999999999998 |
|
- type: precision_at_1000 |
|
value: 0.32299999999999995 |
|
- type: precision_at_3 |
|
value: 13.5 |
|
- type: precision_at_5 |
|
value: 10.9 |
|
- type: recall_at_1 |
|
value: 3.238 |
|
- type: recall_at_10 |
|
value: 16.1 |
|
- type: recall_at_100 |
|
value: 38.427 |
|
- type: recall_at_1000 |
|
value: 65.498 |
|
- type: recall_at_3 |
|
value: 8.212 |
|
- type: recall_at_5 |
|
value: 11.032 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.7612029200118 |
|
- type: cos_sim_spearman |
|
value: 74.17706899450974 |
|
- type: euclidean_pearson |
|
value: 78.6240925347838 |
|
- type: euclidean_spearman |
|
value: 74.22104652352341 |
|
- type: manhattan_pearson |
|
value: 78.49956480878576 |
|
- type: manhattan_spearman |
|
value: 74.0528957569391 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.0377294417705 |
|
- type: cos_sim_spearman |
|
value: 72.19570903733732 |
|
- type: euclidean_pearson |
|
value: 77.060604990743 |
|
- type: euclidean_spearman |
|
value: 71.54251658956483 |
|
- type: manhattan_pearson |
|
value: 77.28301977645965 |
|
- type: manhattan_spearman |
|
value: 71.77449045278667 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 79.69841558517969 |
|
- type: cos_sim_spearman |
|
value: 80.54022353649157 |
|
- type: euclidean_pearson |
|
value: 80.03651743688496 |
|
- type: euclidean_spearman |
|
value: 80.45116824930123 |
|
- type: manhattan_pearson |
|
value: 79.89688370680031 |
|
- type: manhattan_spearman |
|
value: 80.27208259746283 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 79.92235427443056 |
|
- type: cos_sim_spearman |
|
value: 76.20243980748161 |
|
- type: euclidean_pearson |
|
value: 79.28031963400572 |
|
- type: euclidean_spearman |
|
value: 76.3568261868673 |
|
- type: manhattan_pearson |
|
value: 79.24527845959733 |
|
- type: manhattan_spearman |
|
value: 76.39886696744185 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 84.2762365324788 |
|
- type: cos_sim_spearman |
|
value: 85.19929628214842 |
|
- type: euclidean_pearson |
|
value: 84.82568872953075 |
|
- type: euclidean_spearman |
|
value: 85.11039387706913 |
|
- type: manhattan_pearson |
|
value: 84.72922084197847 |
|
- type: manhattan_spearman |
|
value: 85.04448532444505 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.23256564746382 |
|
- type: cos_sim_spearman |
|
value: 81.92968415429543 |
|
- type: euclidean_pearson |
|
value: 81.12612888308936 |
|
- type: euclidean_spearman |
|
value: 81.97396557448675 |
|
- type: manhattan_pearson |
|
value: 81.15685601512081 |
|
- type: manhattan_spearman |
|
value: 82.01929408689 |
|
- 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: 85.35057935029289 |
|
- type: cos_sim_spearman |
|
value: 86.60658025867397 |
|
- type: euclidean_pearson |
|
value: 86.48666975508912 |
|
- type: euclidean_spearman |
|
value: 86.70310223264862 |
|
- type: manhattan_pearson |
|
value: 86.23959282751626 |
|
- type: manhattan_spearman |
|
value: 86.48318896577922 |
|
- 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: 63.15375299804011 |
|
- type: cos_sim_spearman |
|
value: 65.4588500819246 |
|
- type: euclidean_pearson |
|
value: 65.60180021985416 |
|
- type: euclidean_spearman |
|
value: 65.55596512146833 |
|
- type: manhattan_pearson |
|
value: 66.12421335157649 |
|
- type: manhattan_spearman |
|
value: 66.05163838991123 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 81.82391915730462 |
|
- type: cos_sim_spearman |
|
value: 81.93942545767499 |
|
- type: euclidean_pearson |
|
value: 83.16752744889406 |
|
- type: euclidean_spearman |
|
value: 82.31380947581034 |
|
- type: manhattan_pearson |
|
value: 82.98915741609575 |
|
- type: manhattan_spearman |
|
value: 82.16585239338073 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 77.19504204180527 |
|
- type: mrr |
|
value: 92.85429983959396 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scifact |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 49.528 |
|
- type: map_at_10 |
|
value: 57.62199999999999 |
|
- type: map_at_100 |
|
value: 58.544 |
|
- type: map_at_1000 |
|
value: 58.573 |
|
- type: map_at_3 |
|
value: 54.56999999999999 |
|
- type: map_at_5 |
|
value: 56.552 |
|
- type: mrr_at_1 |
|
value: 52.0 |
|
- type: mrr_at_10 |
|
value: 58.939 |
|
- type: mrr_at_100 |
|
value: 59.653 |
|
- type: mrr_at_1000 |
|
value: 59.68 |
|
- type: mrr_at_3 |
|
value: 56.389 |
|
- type: mrr_at_5 |
|
value: 57.989000000000004 |
|
- type: ndcg_at_1 |
|
value: 52.0 |
|
- type: ndcg_at_10 |
|
value: 61.964 |
|
- type: ndcg_at_100 |
|
value: 65.871 |
|
- type: ndcg_at_1000 |
|
value: 66.724 |
|
- type: ndcg_at_3 |
|
value: 56.621 |
|
- type: ndcg_at_5 |
|
value: 59.551 |
|
- type: precision_at_1 |
|
value: 52.0 |
|
- type: precision_at_10 |
|
value: 8.333 |
|
- type: precision_at_100 |
|
value: 1.04 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 21.778 |
|
- type: precision_at_5 |
|
value: 14.933 |
|
- type: recall_at_1 |
|
value: 49.528 |
|
- type: recall_at_10 |
|
value: 74.2 |
|
- type: recall_at_100 |
|
value: 91.5 |
|
- type: recall_at_1000 |
|
value: 98.333 |
|
- type: recall_at_3 |
|
value: 60.06700000000001 |
|
- type: recall_at_5 |
|
value: 67.133 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.81287128712871 |
|
- type: cos_sim_ap |
|
value: 95.15039468118793 |
|
- type: cos_sim_f1 |
|
value: 90.48817312531455 |
|
- type: cos_sim_precision |
|
value: 91.08409321175279 |
|
- type: cos_sim_recall |
|
value: 89.9 |
|
- type: dot_accuracy |
|
value: 99.78019801980199 |
|
- type: dot_ap |
|
value: 93.60256835857994 |
|
- type: dot_f1 |
|
value: 88.73096446700508 |
|
- type: dot_precision |
|
value: 90.10309278350516 |
|
- type: dot_recall |
|
value: 87.4 |
|
- type: euclidean_accuracy |
|
value: 99.81188118811882 |
|
- type: euclidean_ap |
|
value: 95.15954231276913 |
|
- type: euclidean_f1 |
|
value: 90.48096192384769 |
|
- type: euclidean_precision |
|
value: 90.66265060240963 |
|
- type: euclidean_recall |
|
value: 90.3 |
|
- type: manhattan_accuracy |
|
value: 99.81188118811882 |
|
- type: manhattan_ap |
|
value: 95.17107000565468 |
|
- type: manhattan_f1 |
|
value: 90.5 |
|
- type: manhattan_precision |
|
value: 90.5 |
|
- type: manhattan_recall |
|
value: 90.5 |
|
- type: max_accuracy |
|
value: 99.81287128712871 |
|
- type: max_ap |
|
value: 95.17107000565468 |
|
- type: max_f1 |
|
value: 90.5 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 51.77488276525734 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 33.30657214418171 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 47.84571922992432 |
|
- type: mrr |
|
value: 48.549107142857146 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: mteb/summeval |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 29.840750357585556 |
|
- type: cos_sim_spearman |
|
value: 29.832953864936567 |
|
- type: dot_pearson |
|
value: 30.499687946740657 |
|
- type: dot_spearman |
|
value: 30.73436062481656 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: trec-covid |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.16999999999999998 |
|
- type: map_at_10 |
|
value: 1.014 |
|
- type: map_at_100 |
|
value: 5.623 |
|
- type: map_at_1000 |
|
value: 15.190999999999999 |
|
- type: map_at_3 |
|
value: 0.377 |
|
- type: map_at_5 |
|
value: 0.577 |
|
- type: mrr_at_1 |
|
value: 68.0 |
|
- type: mrr_at_10 |
|
value: 74.45 |
|
- type: mrr_at_100 |
|
value: 74.846 |
|
- type: mrr_at_1000 |
|
value: 74.846 |
|
- type: mrr_at_3 |
|
value: 71.333 |
|
- type: mrr_at_5 |
|
value: 73.533 |
|
- type: ndcg_at_1 |
|
value: 64.0 |
|
- type: ndcg_at_10 |
|
value: 47.52 |
|
- type: ndcg_at_100 |
|
value: 37.419999999999995 |
|
- type: ndcg_at_1000 |
|
value: 36.318 |
|
- type: ndcg_at_3 |
|
value: 51.13999999999999 |
|
- type: ndcg_at_5 |
|
value: 49.101 |
|
- type: precision_at_1 |
|
value: 68.0 |
|
- type: precision_at_10 |
|
value: 50.8 |
|
- type: precision_at_100 |
|
value: 39.160000000000004 |
|
- type: precision_at_1000 |
|
value: 16.948 |
|
- type: precision_at_3 |
|
value: 52.0 |
|
- type: precision_at_5 |
|
value: 51.6 |
|
- type: recall_at_1 |
|
value: 0.16999999999999998 |
|
- type: recall_at_10 |
|
value: 1.269 |
|
- type: recall_at_100 |
|
value: 8.937000000000001 |
|
- type: recall_at_1000 |
|
value: 35.036 |
|
- type: recall_at_3 |
|
value: 0.396 |
|
- type: recall_at_5 |
|
value: 0.6669999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: webis-touche2020 |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 1.672 |
|
- type: map_at_10 |
|
value: 6.739000000000001 |
|
- type: map_at_100 |
|
value: 12.006 |
|
- type: map_at_1000 |
|
value: 13.474 |
|
- type: map_at_3 |
|
value: 2.617 |
|
- type: map_at_5 |
|
value: 4.329000000000001 |
|
- type: mrr_at_1 |
|
value: 20.408 |
|
- type: mrr_at_10 |
|
value: 30.764000000000003 |
|
- type: mrr_at_100 |
|
value: 32.457 |
|
- type: mrr_at_1000 |
|
value: 32.481 |
|
- type: mrr_at_3 |
|
value: 26.531 |
|
- type: mrr_at_5 |
|
value: 28.877999999999997 |
|
- type: ndcg_at_1 |
|
value: 18.367 |
|
- type: ndcg_at_10 |
|
value: 17.471999999999998 |
|
- type: ndcg_at_100 |
|
value: 29.341 |
|
- type: ndcg_at_1000 |
|
value: 41.005 |
|
- type: ndcg_at_3 |
|
value: 14.64 |
|
- type: ndcg_at_5 |
|
value: 17.039 |
|
- type: precision_at_1 |
|
value: 20.408 |
|
- type: precision_at_10 |
|
value: 17.551 |
|
- type: precision_at_100 |
|
value: 6.673 |
|
- type: precision_at_1000 |
|
value: 1.4160000000000001 |
|
- type: precision_at_3 |
|
value: 14.966 |
|
- type: precision_at_5 |
|
value: 18.776 |
|
- type: recall_at_1 |
|
value: 1.672 |
|
- type: recall_at_10 |
|
value: 12.795000000000002 |
|
- type: recall_at_100 |
|
value: 41.289 |
|
- type: recall_at_1000 |
|
value: 76.947 |
|
- type: recall_at_3 |
|
value: 3.334 |
|
- type: recall_at_5 |
|
value: 6.864000000000001 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 69.3424 |
|
- type: ap |
|
value: 13.45149708639965 |
|
- type: f1 |
|
value: 53.278180518373574 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 57.60045274476513 |
|
- type: f1 |
|
value: 57.9395926195531 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 36.649067825169446 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 83.68599868868093 |
|
- type: cos_sim_ap |
|
value: 65.7938550603812 |
|
- type: cos_sim_f1 |
|
value: 61.81946735800141 |
|
- type: cos_sim_precision |
|
value: 55.85604770017035 |
|
- type: cos_sim_recall |
|
value: 69.2084432717678 |
|
- type: dot_accuracy |
|
value: 82.09453418370389 |
|
- type: dot_ap |
|
value: 61.00867337905922 |
|
- type: dot_f1 |
|
value: 58.56196783349101 |
|
- type: dot_precision |
|
value: 53.06472353193313 |
|
- type: dot_recall |
|
value: 65.32981530343008 |
|
- type: euclidean_accuracy |
|
value: 83.68599868868093 |
|
- type: euclidean_ap |
|
value: 66.17065796133883 |
|
- type: euclidean_f1 |
|
value: 62.440610152538135 |
|
- type: euclidean_precision |
|
value: 59.3393536121673 |
|
- type: euclidean_recall |
|
value: 65.88390501319262 |
|
- type: manhattan_accuracy |
|
value: 83.57870894677237 |
|
- type: manhattan_ap |
|
value: 65.89925640001532 |
|
- type: manhattan_f1 |
|
value: 62.2255119664446 |
|
- type: manhattan_precision |
|
value: 58.43373493975904 |
|
- type: manhattan_recall |
|
value: 66.54353562005278 |
|
- type: max_accuracy |
|
value: 83.68599868868093 |
|
- type: max_ap |
|
value: 66.17065796133883 |
|
- type: max_f1 |
|
value: 62.440610152538135 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.68579966623976 |
|
- type: cos_sim_ap |
|
value: 83.2666595805096 |
|
- type: cos_sim_f1 |
|
value: 75.11536297129996 |
|
- type: cos_sim_precision |
|
value: 73.24943294065999 |
|
- type: cos_sim_recall |
|
value: 77.07884200800738 |
|
- type: dot_accuracy |
|
value: 86.76213761788334 |
|
- type: dot_ap |
|
value: 80.85199640255004 |
|
- type: dot_f1 |
|
value: 73.27634898520165 |
|
- type: dot_precision |
|
value: 71.70756872282409 |
|
- type: dot_recall |
|
value: 74.91530643671081 |
|
- type: euclidean_accuracy |
|
value: 87.79640625606395 |
|
- type: euclidean_ap |
|
value: 83.52666327503474 |
|
- type: euclidean_f1 |
|
value: 75.37022886875523 |
|
- type: euclidean_precision |
|
value: 71.4522249051397 |
|
- type: euclidean_recall |
|
value: 79.74283954419464 |
|
- type: manhattan_accuracy |
|
value: 87.80804905499282 |
|
- type: manhattan_ap |
|
value: 83.4995899990913 |
|
- type: manhattan_f1 |
|
value: 75.44320420223242 |
|
- type: manhattan_precision |
|
value: 71.68307223069458 |
|
- type: manhattan_recall |
|
value: 79.6196489066831 |
|
- type: max_accuracy |
|
value: 87.80804905499282 |
|
- type: max_ap |
|
value: 83.52666327503474 |
|
- type: max_f1 |
|
value: 75.44320420223242 |
|
--- |
