|
--- |
|
tags: |
|
- mteb |
|
model-index: |
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- name: xlm3b5_step3len260_b128g8_lr1e-5 |
|
results: |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_counterfactual |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 69.01492537313432 |
|
- type: ap |
|
value: 30.936372983952477 |
|
- type: f1 |
|
value: 62.58864357716914 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 95.088975 |
|
- type: ap |
|
value: 92.9329025853096 |
|
- type: f1 |
|
value: 95.0864056657106 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 50.524 |
|
- type: f1 |
|
value: 49.93715365750685 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: arguana |
|
name: MTEB ArguAna |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 17.781 |
|
- type: map_at_10 |
|
value: 30.854 |
|
- type: map_at_100 |
|
value: 32.344 |
|
- type: map_at_1000 |
|
value: 32.364 |
|
- type: map_at_3 |
|
value: 25.711000000000002 |
|
- type: map_at_5 |
|
value: 28.254 |
|
- type: mrr_at_1 |
|
value: 18.563 |
|
- type: mrr_at_10 |
|
value: 31.137999999999998 |
|
- type: mrr_at_100 |
|
value: 32.621 |
|
- type: mrr_at_1000 |
|
value: 32.641 |
|
- type: mrr_at_3 |
|
value: 25.984 |
|
- type: mrr_at_5 |
|
value: 28.53 |
|
- type: ndcg_at_1 |
|
value: 17.781 |
|
- type: ndcg_at_10 |
|
value: 39.206 |
|
- type: ndcg_at_100 |
|
value: 45.751 |
|
- type: ndcg_at_1000 |
|
value: 46.225 |
|
- type: ndcg_at_3 |
|
value: 28.313 |
|
- type: ndcg_at_5 |
|
value: 32.919 |
|
- type: precision_at_1 |
|
value: 17.781 |
|
- type: precision_at_10 |
|
value: 6.65 |
|
- type: precision_at_100 |
|
value: 0.9560000000000001 |
|
- type: precision_at_1000 |
|
value: 0.099 |
|
- type: precision_at_3 |
|
value: 11.949 |
|
- type: precision_at_5 |
|
value: 9.417 |
|
- type: recall_at_1 |
|
value: 17.781 |
|
- type: recall_at_10 |
|
value: 66.501 |
|
- type: recall_at_100 |
|
value: 95.59 |
|
- type: recall_at_1000 |
|
value: 99.21799999999999 |
|
- type: recall_at_3 |
|
value: 35.846000000000004 |
|
- type: recall_at_5 |
|
value: 47.083999999999996 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-p2p |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 44.44154312957711 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 34.189712542346385 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/askubuntudupquestions-reranking |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 62.72571219134687 |
|
- type: mrr |
|
value: 76.3612979817966 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/biosses-sts |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.62762841254953 |
|
- type: cos_sim_spearman |
|
value: 80.72111639383013 |
|
- type: euclidean_pearson |
|
value: 82.63506732956259 |
|
- type: euclidean_spearman |
|
value: 81.177753304636 |
|
- type: manhattan_pearson |
|
value: 82.5891836637346 |
|
- type: manhattan_spearman |
|
value: 81.06811225217339 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 1.422077922077922 |
|
- type: f1 |
|
value: 0.06502366027548179 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 37.82441952130262 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 32.132057843418416 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 34.23 |
|
- type: map_at_10 |
|
value: 46.763 |
|
- type: map_at_100 |
|
value: 48.454 |
|
- type: map_at_1000 |
|
value: 48.58 |
|
- type: map_at_3 |
|
value: 43.167 |
|
- type: map_at_5 |
|
value: 45.214 |
|
- type: mrr_at_1 |
|
value: 42.775 |
|
- type: mrr_at_10 |
|
value: 53.190000000000005 |
|
- type: mrr_at_100 |
|
value: 53.928 |
|
- type: mrr_at_1000 |
|
value: 53.964 |
|
- type: mrr_at_3 |
|
value: 51.168 |
|
- type: mrr_at_5 |
|
value: 52.434000000000005 |
|
- type: ndcg_at_1 |
|
value: 42.775 |
|
- type: ndcg_at_10 |
|
value: 53.376999999999995 |
|
- type: ndcg_at_100 |
|
value: 58.748 |
|
- type: ndcg_at_1000 |
|
value: 60.461 |
|
- type: ndcg_at_3 |
|
value: 48.929 |
|
- type: ndcg_at_5 |
|
value: 50.99399999999999 |
|
- type: precision_at_1 |
|
value: 42.775 |
|
- type: precision_at_10 |
|
value: 10.428999999999998 |
|
- type: precision_at_100 |
|
value: 1.678 |
|
- type: precision_at_1000 |
|
value: 0.215 |
|
- type: precision_at_3 |
|
value: 23.939 |
|
- type: precision_at_5 |
|
value: 17.082 |
|
- type: recall_at_1 |
|
value: 34.23 |
|
- type: recall_at_10 |
|
value: 64.96300000000001 |
|
- type: recall_at_100 |
|
value: 86.803 |
|
- type: recall_at_1000 |
|
value: 97.917 |
|
- type: recall_at_3 |
|
value: 51.815 |
|
- type: recall_at_5 |
|
value: 57.781000000000006 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 28.935 |
|
- type: map_at_10 |
|
value: 39.574999999999996 |
|
- type: map_at_100 |
|
value: 40.891 |
|
- type: map_at_1000 |
|
value: 41.043 |
|
- type: map_at_3 |
|
value: 36.248999999999995 |
|
- type: map_at_5 |
|
value: 38.157999999999994 |
|
- type: mrr_at_1 |
|
value: 36.624 |
|
- type: mrr_at_10 |
|
value: 45.241 |
|
- type: mrr_at_100 |
|
value: 46.028000000000006 |
|
- type: mrr_at_1000 |
|
value: 46.082 |
|
- type: mrr_at_3 |
|
value: 42.93 |
|
- type: mrr_at_5 |
|
value: 44.417 |
|
- type: ndcg_at_1 |
|
value: 36.624 |
|
- type: ndcg_at_10 |
|
value: 45.423 |
|
- type: ndcg_at_100 |
|
value: 49.971 |
|
- type: ndcg_at_1000 |
|
value: 52.382 |
|
- type: ndcg_at_3 |
|
value: 41.019 |
|
- type: ndcg_at_5 |
|
value: 43.254 |
|
- type: precision_at_1 |
|
value: 36.624 |
|
- type: precision_at_10 |
|
value: 8.86 |
|
- type: precision_at_100 |
|
value: 1.458 |
|
- type: precision_at_1000 |
|
value: 0.198 |
|
- type: precision_at_3 |
|
value: 20.276 |
|
- type: precision_at_5 |
|
value: 14.573 |
|
- type: recall_at_1 |
|
value: 28.935 |
|
- type: recall_at_10 |
|
value: 55.745999999999995 |
|
- type: recall_at_100 |
|
value: 74.977 |
|
- type: recall_at_1000 |
|
value: 90.505 |
|
- type: recall_at_3 |
|
value: 42.575 |
|
- type: recall_at_5 |
|
value: 48.902 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 38.828 |
|
- type: map_at_10 |
|
value: 50.888999999999996 |
|
- type: map_at_100 |
|
value: 52.001 |
|
- type: map_at_1000 |
|
value: 52.054 |
|
- type: map_at_3 |
|
value: 47.638999999999996 |
|
- type: map_at_5 |
|
value: 49.423 |
|
- type: mrr_at_1 |
|
value: 44.765 |
|
- type: mrr_at_10 |
|
value: 54.408 |
|
- type: mrr_at_100 |
|
value: 55.116 |
|
- type: mrr_at_1000 |
|
value: 55.144000000000005 |
|
- type: mrr_at_3 |
|
value: 52.038 |
|
- type: mrr_at_5 |
|
value: 53.323 |
|
- type: ndcg_at_1 |
|
value: 44.765 |
|
- type: ndcg_at_10 |
|
value: 56.724 |
|
- type: ndcg_at_100 |
|
value: 61.058 |
|
- type: ndcg_at_1000 |
|
value: 62.125 |
|
- type: ndcg_at_3 |
|
value: 51.324000000000005 |
|
- type: ndcg_at_5 |
|
value: 53.805 |
|
- type: precision_at_1 |
|
value: 44.765 |
|
- type: precision_at_10 |
|
value: 9.248000000000001 |
|
- type: precision_at_100 |
|
value: 1.234 |
|
- type: precision_at_1000 |
|
value: 0.136 |
|
- type: precision_at_3 |
|
value: 23.093 |
|
- type: precision_at_5 |
|
value: 15.799 |
|
- type: recall_at_1 |
|
value: 38.828 |
|
- type: recall_at_10 |
|
value: 70.493 |
|
- type: recall_at_100 |
|
value: 89.293 |
|
- type: recall_at_1000 |
|
value: 96.872 |
|
- type: recall_at_3 |
|
value: 55.74400000000001 |
|
- type: recall_at_5 |
|
value: 61.95 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.085 |
|
- type: map_at_10 |
|
value: 30.070000000000004 |
|
- type: map_at_100 |
|
value: 31.206 |
|
- type: map_at_1000 |
|
value: 31.291999999999998 |
|
- type: map_at_3 |
|
value: 27.011000000000003 |
|
- type: map_at_5 |
|
value: 28.854999999999997 |
|
- type: mrr_at_1 |
|
value: 23.842 |
|
- type: mrr_at_10 |
|
value: 31.755 |
|
- type: mrr_at_100 |
|
value: 32.778 |
|
- type: mrr_at_1000 |
|
value: 32.845 |
|
- type: mrr_at_3 |
|
value: 28.851 |
|
- type: mrr_at_5 |
|
value: 30.574 |
|
- type: ndcg_at_1 |
|
value: 23.842 |
|
- type: ndcg_at_10 |
|
value: 35.052 |
|
- type: ndcg_at_100 |
|
value: 40.550999999999995 |
|
- type: ndcg_at_1000 |
|
value: 42.789 |
|
- type: ndcg_at_3 |
|
value: 29.096 |
|
- type: ndcg_at_5 |
|
value: 32.251000000000005 |
|
- type: precision_at_1 |
|
value: 23.842 |
|
- type: precision_at_10 |
|
value: 5.605 |
|
- type: precision_at_100 |
|
value: 0.877 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 12.316 |
|
- type: precision_at_5 |
|
value: 9.13 |
|
- type: recall_at_1 |
|
value: 22.085 |
|
- type: recall_at_10 |
|
value: 48.815999999999995 |
|
- type: recall_at_100 |
|
value: 74.039 |
|
- type: recall_at_1000 |
|
value: 90.872 |
|
- type: recall_at_3 |
|
value: 33.098 |
|
- type: recall_at_5 |
|
value: 40.647 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 14.088999999999999 |
|
- type: map_at_10 |
|
value: 21.526 |
|
- type: map_at_100 |
|
value: 22.832 |
|
- type: map_at_1000 |
|
value: 22.958000000000002 |
|
- type: map_at_3 |
|
value: 18.747 |
|
- type: map_at_5 |
|
value: 20.396 |
|
- type: mrr_at_1 |
|
value: 17.662 |
|
- type: mrr_at_10 |
|
value: 25.513 |
|
- type: mrr_at_100 |
|
value: 26.621 |
|
- type: mrr_at_1000 |
|
value: 26.698 |
|
- type: mrr_at_3 |
|
value: 22.658 |
|
- type: mrr_at_5 |
|
value: 24.449 |
|
- type: ndcg_at_1 |
|
value: 17.662 |
|
- type: ndcg_at_10 |
|
value: 26.506999999999998 |
|
- type: ndcg_at_100 |
|
value: 32.782 |
|
- type: ndcg_at_1000 |
|
value: 35.709999999999994 |
|
- type: ndcg_at_3 |
|
value: 21.279 |
|
- type: ndcg_at_5 |
|
value: 23.998 |
|
- type: precision_at_1 |
|
value: 17.662 |
|
- type: precision_at_10 |
|
value: 5.124 |
|
- type: precision_at_100 |
|
value: 0.951 |
|
- type: precision_at_1000 |
|
value: 0.133 |
|
- type: precision_at_3 |
|
value: 10.323 |
|
- type: precision_at_5 |
|
value: 8.158999999999999 |
|
- type: recall_at_1 |
|
value: 14.088999999999999 |
|
- type: recall_at_10 |
|
value: 37.874 |
|
- type: recall_at_100 |
|
value: 65.34100000000001 |
|
- type: recall_at_1000 |
|
value: 86.06099999999999 |
|
- type: recall_at_3 |
|
value: 23.738999999999997 |
|
- type: recall_at_5 |
|
value: 30.359 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 24.75 |
|
- type: map_at_10 |
|
value: 34.156 |
|
- type: map_at_100 |
|
value: 35.638999999999996 |
|
- type: map_at_1000 |
|
value: 35.754999999999995 |
|
- type: map_at_3 |
|
value: 31.047000000000004 |
|
- type: map_at_5 |
|
value: 32.823 |
|
- type: mrr_at_1 |
|
value: 30.991000000000003 |
|
- type: mrr_at_10 |
|
value: 39.509 |
|
- type: mrr_at_100 |
|
value: 40.582 |
|
- type: mrr_at_1000 |
|
value: 40.636 |
|
- type: mrr_at_3 |
|
value: 37.103 |
|
- type: mrr_at_5 |
|
value: 38.503 |
|
- type: ndcg_at_1 |
|
value: 30.991000000000003 |
|
- type: ndcg_at_10 |
|
value: 39.719 |
|
- type: ndcg_at_100 |
|
value: 45.984 |
|
- type: ndcg_at_1000 |
|
value: 48.293 |
|
- type: ndcg_at_3 |
|
value: 34.92 |
|
- type: ndcg_at_5 |
|
value: 37.253 |
|
- type: precision_at_1 |
|
value: 30.991000000000003 |
|
- type: precision_at_10 |
|
value: 7.3340000000000005 |
|
- type: precision_at_100 |
|
value: 1.225 |
|
- type: precision_at_1000 |
|
value: 0.16 |
|
- type: precision_at_3 |
|
value: 16.586000000000002 |
|
- type: precision_at_5 |
|
value: 12.127 |
|
- type: recall_at_1 |
|
value: 24.75 |
|
- type: recall_at_10 |
|
value: 51.113 |
|
- type: recall_at_100 |
|
value: 77.338 |
|
- type: recall_at_1000 |
|
value: 92.764 |
|
- type: recall_at_3 |
|
value: 37.338 |
|
- type: recall_at_5 |
|
value: 43.437 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 23.158 |
|
- type: map_at_10 |
|
value: 32.877 |
|
- type: map_at_100 |
|
value: 34.226 |
|
- type: map_at_1000 |
|
value: 34.35 |
|
- type: map_at_3 |
|
value: 29.43 |
|
- type: map_at_5 |
|
value: 31.319000000000003 |
|
- type: mrr_at_1 |
|
value: 29.224 |
|
- type: mrr_at_10 |
|
value: 38.080000000000005 |
|
- type: mrr_at_100 |
|
value: 39.04 |
|
- type: mrr_at_1000 |
|
value: 39.097 |
|
- type: mrr_at_3 |
|
value: 35.407 |
|
- type: mrr_at_5 |
|
value: 36.771 |
|
- type: ndcg_at_1 |
|
value: 29.224 |
|
- type: ndcg_at_10 |
|
value: 38.805 |
|
- type: ndcg_at_100 |
|
value: 44.746 |
|
- type: ndcg_at_1000 |
|
value: 47.038000000000004 |
|
- type: ndcg_at_3 |
|
value: 33.269 |
|
- type: ndcg_at_5 |
|
value: 35.611 |
|
- type: precision_at_1 |
|
value: 29.224 |
|
- type: precision_at_10 |
|
value: 7.454 |
|
- type: precision_at_100 |
|
value: 1.221 |
|
- type: precision_at_1000 |
|
value: 0.16199999999999998 |
|
- type: precision_at_3 |
|
value: 16.134 |
|
- type: precision_at_5 |
|
value: 11.895 |
|
- type: recall_at_1 |
|
value: 23.158 |
|
- type: recall_at_10 |
|
value: 51.487 |
|
- type: recall_at_100 |
|
value: 77.464 |
|
- type: recall_at_1000 |
|
value: 92.525 |
|
- type: recall_at_3 |
|
value: 35.478 |
|
- type: recall_at_5 |
|
value: 41.722 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 24.456916666666668 |
|
- type: map_at_10 |
|
value: 33.5495 |
|
- type: map_at_100 |
|
value: 34.86808333333333 |
|
- type: map_at_1000 |
|
value: 34.98908333333333 |
|
- type: map_at_3 |
|
value: 30.59158333333334 |
|
- type: map_at_5 |
|
value: 32.24916666666667 |
|
- type: mrr_at_1 |
|
value: 29.387250000000005 |
|
- type: mrr_at_10 |
|
value: 37.73958333333333 |
|
- type: mrr_at_100 |
|
value: 38.6595 |
|
- type: mrr_at_1000 |
|
value: 38.718250000000005 |
|
- type: mrr_at_3 |
|
value: 35.31658333333333 |
|
- type: mrr_at_5 |
|
value: 36.69441666666667 |
|
- type: ndcg_at_1 |
|
value: 29.387250000000005 |
|
- type: ndcg_at_10 |
|
value: 38.910333333333334 |
|
- type: ndcg_at_100 |
|
value: 44.40241666666666 |
|
- type: ndcg_at_1000 |
|
value: 46.72008333333334 |
|
- type: ndcg_at_3 |
|
value: 34.045583333333326 |
|
- type: ndcg_at_5 |
|
value: 36.33725 |
|
- type: precision_at_1 |
|
value: 29.387250000000005 |
|
- type: precision_at_10 |
|
value: 7.034666666666668 |
|
- type: precision_at_100 |
|
value: 1.1698333333333333 |
|
- type: precision_at_1000 |
|
value: 0.15599999999999997 |
|
- type: precision_at_3 |
|
value: 15.866416666666666 |
|
- type: precision_at_5 |
|
value: 11.456333333333331 |
|
- type: recall_at_1 |
|
value: 24.456916666666668 |
|
- type: recall_at_10 |
|
value: 50.47758333333333 |
|
- type: recall_at_100 |
|
value: 74.52275 |
|
- type: recall_at_1000 |
|
value: 90.7105 |
|
- type: recall_at_3 |
|
value: 36.86275 |
|
- type: recall_at_5 |
|
value: 42.76533333333333 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.356 |
|
- type: map_at_10 |
|
value: 25.378 |
|
- type: map_at_100 |
|
value: 26.349 |
|
- type: map_at_1000 |
|
value: 26.451 |
|
- type: map_at_3 |
|
value: 23.403 |
|
- type: map_at_5 |
|
value: 24.614 |
|
- type: mrr_at_1 |
|
value: 22.086 |
|
- type: mrr_at_10 |
|
value: 28.072000000000003 |
|
- type: mrr_at_100 |
|
value: 28.887 |
|
- type: mrr_at_1000 |
|
value: 28.965999999999998 |
|
- type: mrr_at_3 |
|
value: 26.074 |
|
- type: mrr_at_5 |
|
value: 27.293 |
|
- type: ndcg_at_1 |
|
value: 22.086 |
|
- type: ndcg_at_10 |
|
value: 29.107 |
|
- type: ndcg_at_100 |
|
value: 34.0 |
|
- type: ndcg_at_1000 |
|
value: 36.793 |
|
- type: ndcg_at_3 |
|
value: 25.407999999999998 |
|
- type: ndcg_at_5 |
|
value: 27.375 |
|
- type: precision_at_1 |
|
value: 22.086 |
|
- type: precision_at_10 |
|
value: 4.678 |
|
- type: precision_at_100 |
|
value: 0.7779999999999999 |
|
- type: precision_at_1000 |
|
value: 0.11 |
|
- type: precision_at_3 |
|
value: 10.992 |
|
- type: precision_at_5 |
|
value: 7.853000000000001 |
|
- type: recall_at_1 |
|
value: 19.356 |
|
- type: recall_at_10 |
|
value: 37.913999999999994 |
|
- type: recall_at_100 |
|
value: 60.507999999999996 |
|
- type: recall_at_1000 |
|
value: 81.459 |
|
- type: recall_at_3 |
|
value: 27.874 |
|
- type: recall_at_5 |
|
value: 32.688 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 16.008 |
|
- type: map_at_10 |
|
value: 22.431 |
|
- type: map_at_100 |
|
value: 23.61 |
|
- type: map_at_1000 |
|
value: 23.743 |
|
- type: map_at_3 |
|
value: 20.358 |
|
- type: map_at_5 |
|
value: 21.371000000000002 |
|
- type: mrr_at_1 |
|
value: 19.752 |
|
- type: mrr_at_10 |
|
value: 26.333000000000002 |
|
- type: mrr_at_100 |
|
value: 27.297 |
|
- type: mrr_at_1000 |
|
value: 27.378000000000004 |
|
- type: mrr_at_3 |
|
value: 24.358 |
|
- type: mrr_at_5 |
|
value: 25.354 |
|
- type: ndcg_at_1 |
|
value: 19.752 |
|
- type: ndcg_at_10 |
|
value: 26.712000000000003 |
|
- type: ndcg_at_100 |
|
value: 32.294 |
|
- type: ndcg_at_1000 |
|
value: 35.410000000000004 |
|
- type: ndcg_at_3 |
|
value: 22.974 |
|
- type: ndcg_at_5 |
|
value: 24.412 |
|
- type: precision_at_1 |
|
value: 19.752 |
|
- type: precision_at_10 |
|
value: 4.986 |
|
- type: precision_at_100 |
|
value: 0.924 |
|
- type: precision_at_1000 |
|
value: 0.13699999999999998 |
|
- type: precision_at_3 |
|
value: 10.966 |
|
- type: precision_at_5 |
|
value: 7.832 |
|
- type: recall_at_1 |
|
value: 16.008 |
|
- type: recall_at_10 |
|
value: 35.716 |
|
- type: recall_at_100 |
|
value: 60.76200000000001 |
|
- type: recall_at_1000 |
|
value: 83.204 |
|
- type: recall_at_3 |
|
value: 25.092 |
|
- type: recall_at_5 |
|
value: 28.858 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 24.743000000000002 |
|
- type: map_at_10 |
|
value: 34.492 |
|
- type: map_at_100 |
|
value: 35.716 |
|
- type: map_at_1000 |
|
value: 35.815999999999995 |
|
- type: map_at_3 |
|
value: 31.201 |
|
- type: map_at_5 |
|
value: 32.926 |
|
- type: mrr_at_1 |
|
value: 29.384 |
|
- type: mrr_at_10 |
|
value: 38.333 |
|
- type: mrr_at_100 |
|
value: 39.278 |
|
- type: mrr_at_1000 |
|
value: 39.330999999999996 |
|
- type: mrr_at_3 |
|
value: 35.65 |
|
- type: mrr_at_5 |
|
value: 36.947 |
|
- type: ndcg_at_1 |
|
value: 29.384 |
|
- type: ndcg_at_10 |
|
value: 40.195 |
|
- type: ndcg_at_100 |
|
value: 45.686 |
|
- type: ndcg_at_1000 |
|
value: 47.906 |
|
- type: ndcg_at_3 |
|
value: 34.477000000000004 |
|
- type: ndcg_at_5 |
|
value: 36.89 |
|
- type: precision_at_1 |
|
value: 29.384 |
|
- type: precision_at_10 |
|
value: 7.164 |
|
- type: precision_at_100 |
|
value: 1.111 |
|
- type: precision_at_1000 |
|
value: 0.13999999999999999 |
|
- type: precision_at_3 |
|
value: 15.983 |
|
- type: precision_at_5 |
|
value: 11.418000000000001 |
|
- type: recall_at_1 |
|
value: 24.743000000000002 |
|
- type: recall_at_10 |
|
value: 53.602000000000004 |
|
- type: recall_at_100 |
|
value: 77.266 |
|
- type: recall_at_1000 |
|
value: 92.857 |
|
- type: recall_at_3 |
|
value: 37.921 |
|
- type: recall_at_5 |
|
value: 44.124 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 26.531 |
|
- type: map_at_10 |
|
value: 35.933 |
|
- type: map_at_100 |
|
value: 37.913000000000004 |
|
- type: map_at_1000 |
|
value: 38.146 |
|
- type: map_at_3 |
|
value: 32.713 |
|
- type: map_at_5 |
|
value: 34.339999999999996 |
|
- type: mrr_at_1 |
|
value: 32.806000000000004 |
|
- type: mrr_at_10 |
|
value: 41.728 |
|
- type: mrr_at_100 |
|
value: 42.731 |
|
- type: mrr_at_1000 |
|
value: 42.777 |
|
- type: mrr_at_3 |
|
value: 39.065 |
|
- type: mrr_at_5 |
|
value: 40.467999999999996 |
|
- type: ndcg_at_1 |
|
value: 32.806000000000004 |
|
- type: ndcg_at_10 |
|
value: 42.254999999999995 |
|
- type: ndcg_at_100 |
|
value: 48.687999999999995 |
|
- type: ndcg_at_1000 |
|
value: 50.784 |
|
- type: ndcg_at_3 |
|
value: 37.330999999999996 |
|
- type: ndcg_at_5 |
|
value: 39.305 |
|
- type: precision_at_1 |
|
value: 32.806000000000004 |
|
- type: precision_at_10 |
|
value: 8.34 |
|
- type: precision_at_100 |
|
value: 1.7209999999999999 |
|
- type: precision_at_1000 |
|
value: 0.252 |
|
- type: precision_at_3 |
|
value: 17.589 |
|
- type: precision_at_5 |
|
value: 12.845999999999998 |
|
- type: recall_at_1 |
|
value: 26.531 |
|
- type: recall_at_10 |
|
value: 53.266000000000005 |
|
- type: recall_at_100 |
|
value: 81.49499999999999 |
|
- type: recall_at_1000 |
|
value: 94.506 |
|
- type: recall_at_3 |
|
value: 38.848 |
|
- type: recall_at_5 |
|
value: 44.263000000000005 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 20.77 |
|
- type: map_at_10 |
|
value: 28.504 |
|
- type: map_at_100 |
|
value: 29.580000000000002 |
|
- type: map_at_1000 |
|
value: 29.681 |
|
- type: map_at_3 |
|
value: 26.134 |
|
- type: map_at_5 |
|
value: 27.551 |
|
- type: mrr_at_1 |
|
value: 22.736 |
|
- type: mrr_at_10 |
|
value: 30.713 |
|
- type: mrr_at_100 |
|
value: 31.628 |
|
- type: mrr_at_1000 |
|
value: 31.701 |
|
- type: mrr_at_3 |
|
value: 28.497 |
|
- type: mrr_at_5 |
|
value: 29.799999999999997 |
|
- type: ndcg_at_1 |
|
value: 22.736 |
|
- type: ndcg_at_10 |
|
value: 33.048 |
|
- type: ndcg_at_100 |
|
value: 38.321 |
|
- type: ndcg_at_1000 |
|
value: 40.949999999999996 |
|
- type: ndcg_at_3 |
|
value: 28.521 |
|
- type: ndcg_at_5 |
|
value: 30.898999999999997 |
|
- type: precision_at_1 |
|
value: 22.736 |
|
- type: precision_at_10 |
|
value: 5.194 |
|
- type: precision_at_100 |
|
value: 0.86 |
|
- type: precision_at_1000 |
|
value: 0.11800000000000001 |
|
- type: precision_at_3 |
|
value: 12.2 |
|
- type: precision_at_5 |
|
value: 8.762 |
|
- type: recall_at_1 |
|
value: 20.77 |
|
- type: recall_at_10 |
|
value: 44.741 |
|
- type: recall_at_100 |
|
value: 68.987 |
|
- type: recall_at_1000 |
|
value: 88.984 |
|
- type: recall_at_3 |
|
value: 32.830999999999996 |
|
- type: recall_at_5 |
|
value: 38.452999999999996 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: climate-fever |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.646 |
|
- type: map_at_10 |
|
value: 17.432 |
|
- type: map_at_100 |
|
value: 19.347 |
|
- type: map_at_1000 |
|
value: 19.555 |
|
- type: map_at_3 |
|
value: 14.355 |
|
- type: map_at_5 |
|
value: 15.83 |
|
- type: mrr_at_1 |
|
value: 21.433 |
|
- type: mrr_at_10 |
|
value: 32.583 |
|
- type: mrr_at_100 |
|
value: 33.708 |
|
- type: mrr_at_1000 |
|
value: 33.751999999999995 |
|
- type: mrr_at_3 |
|
value: 28.979 |
|
- type: mrr_at_5 |
|
value: 30.979 |
|
- type: ndcg_at_1 |
|
value: 21.433 |
|
- type: ndcg_at_10 |
|
value: 25.025 |
|
- type: ndcg_at_100 |
|
value: 32.818999999999996 |
|
- type: ndcg_at_1000 |
|
value: 36.549 |
|
- type: ndcg_at_3 |
|
value: 19.689 |
|
- type: ndcg_at_5 |
|
value: 21.462 |
|
- type: precision_at_1 |
|
value: 21.433 |
|
- type: precision_at_10 |
|
value: 8.085 |
|
- type: precision_at_100 |
|
value: 1.6340000000000001 |
|
- type: precision_at_1000 |
|
value: 0.233 |
|
- type: precision_at_3 |
|
value: 14.832 |
|
- type: precision_at_5 |
|
value: 11.530999999999999 |
|
- type: recall_at_1 |
|
value: 9.646 |
|
- type: recall_at_10 |
|
value: 31.442999999999998 |
|
- type: recall_at_100 |
|
value: 58.48 |
|
- type: recall_at_1000 |
|
value: 79.253 |
|
- type: recall_at_3 |
|
value: 18.545 |
|
- type: recall_at_5 |
|
value: 23.362 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: dbpedia-entity |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 8.48 |
|
- type: map_at_10 |
|
value: 18.127 |
|
- type: map_at_100 |
|
value: 25.563999999999997 |
|
- type: map_at_1000 |
|
value: 27.386 |
|
- type: map_at_3 |
|
value: 13.189 |
|
- type: map_at_5 |
|
value: 15.417 |
|
- type: mrr_at_1 |
|
value: 63.74999999999999 |
|
- type: mrr_at_10 |
|
value: 71.34899999999999 |
|
- type: mrr_at_100 |
|
value: 71.842 |
|
- type: mrr_at_1000 |
|
value: 71.851 |
|
- type: mrr_at_3 |
|
value: 69.167 |
|
- type: mrr_at_5 |
|
value: 70.479 |
|
- type: ndcg_at_1 |
|
value: 51.87500000000001 |
|
- type: ndcg_at_10 |
|
value: 38.792 |
|
- type: ndcg_at_100 |
|
value: 43.889 |
|
- type: ndcg_at_1000 |
|
value: 51.561 |
|
- type: ndcg_at_3 |
|
value: 42.686 |
|
- type: ndcg_at_5 |
|
value: 40.722 |
|
- type: precision_at_1 |
|
value: 63.74999999999999 |
|
- type: precision_at_10 |
|
value: 30.375000000000004 |
|
- type: precision_at_100 |
|
value: 10.103 |
|
- type: precision_at_1000 |
|
value: 2.257 |
|
- type: precision_at_3 |
|
value: 45.167 |
|
- type: precision_at_5 |
|
value: 38.95 |
|
- type: recall_at_1 |
|
value: 8.48 |
|
- type: recall_at_10 |
|
value: 23.008 |
|
- type: recall_at_100 |
|
value: 48.875 |
|
- type: recall_at_1000 |
|
value: 73.402 |
|
- type: recall_at_3 |
|
value: 14.377 |
|
- type: recall_at_5 |
|
value: 17.819 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 47.605 |
|
- type: f1 |
|
value: 42.345081371303316 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fever |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 62.247 |
|
- type: map_at_10 |
|
value: 72.782 |
|
- type: map_at_100 |
|
value: 73.095 |
|
- type: map_at_1000 |
|
value: 73.112 |
|
- type: map_at_3 |
|
value: 70.928 |
|
- type: map_at_5 |
|
value: 72.173 |
|
- type: mrr_at_1 |
|
value: 67.372 |
|
- type: mrr_at_10 |
|
value: 77.538 |
|
- type: mrr_at_100 |
|
value: 77.741 |
|
- type: mrr_at_1000 |
|
value: 77.74600000000001 |
|
- type: mrr_at_3 |
|
value: 75.938 |
|
- type: mrr_at_5 |
|
value: 77.054 |
|
- type: ndcg_at_1 |
|
value: 67.372 |
|
- type: ndcg_at_10 |
|
value: 78.001 |
|
- type: ndcg_at_100 |
|
value: 79.295 |
|
- type: ndcg_at_1000 |
|
value: 79.648 |
|
- type: ndcg_at_3 |
|
value: 74.71 |
|
- type: ndcg_at_5 |
|
value: 76.712 |
|
- type: precision_at_1 |
|
value: 67.372 |
|
- type: precision_at_10 |
|
value: 9.844999999999999 |
|
- type: precision_at_100 |
|
value: 1.065 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 29.308 |
|
- type: precision_at_5 |
|
value: 18.731 |
|
- type: recall_at_1 |
|
value: 62.247 |
|
- type: recall_at_10 |
|
value: 89.453 |
|
- type: recall_at_100 |
|
value: 94.998 |
|
- type: recall_at_1000 |
|
value: 97.385 |
|
- type: recall_at_3 |
|
value: 80.563 |
|
- type: recall_at_5 |
|
value: 85.58099999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fiqa |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.587 |
|
- type: map_at_10 |
|
value: 37.316 |
|
- type: map_at_100 |
|
value: 39.542 |
|
- type: map_at_1000 |
|
value: 39.701 |
|
- type: map_at_3 |
|
value: 32.332 |
|
- type: map_at_5 |
|
value: 35.172 |
|
- type: mrr_at_1 |
|
value: 42.437999999999995 |
|
- type: mrr_at_10 |
|
value: 51.98500000000001 |
|
- type: mrr_at_100 |
|
value: 52.910999999999994 |
|
- type: mrr_at_1000 |
|
value: 52.944 |
|
- type: mrr_at_3 |
|
value: 49.691 |
|
- type: mrr_at_5 |
|
value: 51.15 |
|
- type: ndcg_at_1 |
|
value: 42.437999999999995 |
|
- type: ndcg_at_10 |
|
value: 45.016 |
|
- type: ndcg_at_100 |
|
value: 52.541000000000004 |
|
- type: ndcg_at_1000 |
|
value: 54.99699999999999 |
|
- type: ndcg_at_3 |
|
value: 41.175 |
|
- type: ndcg_at_5 |
|
value: 42.647 |
|
- type: precision_at_1 |
|
value: 42.437999999999995 |
|
- type: precision_at_10 |
|
value: 12.855 |
|
- type: precision_at_100 |
|
value: 2.049 |
|
- type: precision_at_1000 |
|
value: 0.247 |
|
- type: precision_at_3 |
|
value: 27.675 |
|
- type: precision_at_5 |
|
value: 20.617 |
|
- type: recall_at_1 |
|
value: 22.587 |
|
- type: recall_at_10 |
|
value: 51.547 |
|
- type: recall_at_100 |
|
value: 78.88 |
|
- type: recall_at_1000 |
|
value: 93.741 |
|
- type: recall_at_3 |
|
value: 37.256 |
|
- type: recall_at_5 |
|
value: 44.295 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: hotpotqa |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 32.451 |
|
- type: map_at_10 |
|
value: 48.082 |
|
- type: map_at_100 |
|
value: 49.08 |
|
- type: map_at_1000 |
|
value: 49.163000000000004 |
|
- type: map_at_3 |
|
value: 44.766 |
|
- type: map_at_5 |
|
value: 46.722 |
|
- type: mrr_at_1 |
|
value: 64.902 |
|
- type: mrr_at_10 |
|
value: 72.195 |
|
- type: mrr_at_100 |
|
value: 72.572 |
|
- type: mrr_at_1000 |
|
value: 72.589 |
|
- type: mrr_at_3 |
|
value: 70.774 |
|
- type: mrr_at_5 |
|
value: 71.611 |
|
- type: ndcg_at_1 |
|
value: 64.902 |
|
- type: ndcg_at_10 |
|
value: 57.14399999999999 |
|
- type: ndcg_at_100 |
|
value: 60.916000000000004 |
|
- type: ndcg_at_1000 |
|
value: 62.649 |
|
- type: ndcg_at_3 |
|
value: 52.09 |
|
- type: ndcg_at_5 |
|
value: 54.70399999999999 |
|
- type: precision_at_1 |
|
value: 64.902 |
|
- type: precision_at_10 |
|
value: 12.136 |
|
- type: precision_at_100 |
|
value: 1.51 |
|
- type: precision_at_1000 |
|
value: 0.174 |
|
- type: precision_at_3 |
|
value: 32.933 |
|
- type: precision_at_5 |
|
value: 21.823 |
|
- type: recall_at_1 |
|
value: 32.451 |
|
- type: recall_at_10 |
|
value: 60.682 |
|
- type: recall_at_100 |
|
value: 75.523 |
|
- type: recall_at_1000 |
|
value: 87.063 |
|
- type: recall_at_3 |
|
value: 49.399 |
|
- type: recall_at_5 |
|
value: 54.55799999999999 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 89.48759999999997 |
|
- type: ap |
|
value: 85.15533983465178 |
|
- type: f1 |
|
value: 89.46732838870311 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: msmarco |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 17.942 |
|
- type: map_at_10 |
|
value: 29.755 |
|
- type: map_at_100 |
|
value: 31.008000000000003 |
|
- type: map_at_1000 |
|
value: 31.067 |
|
- type: map_at_3 |
|
value: 25.959 |
|
- type: map_at_5 |
|
value: 28.044999999999998 |
|
- type: mrr_at_1 |
|
value: 18.467 |
|
- type: mrr_at_10 |
|
value: 30.253000000000004 |
|
- type: mrr_at_100 |
|
value: 31.461 |
|
- type: mrr_at_1000 |
|
value: 31.513 |
|
- type: mrr_at_3 |
|
value: 26.528000000000002 |
|
- type: mrr_at_5 |
|
value: 28.588 |
|
- type: ndcg_at_1 |
|
value: 18.467 |
|
- type: ndcg_at_10 |
|
value: 36.510999999999996 |
|
- type: ndcg_at_100 |
|
value: 42.748999999999995 |
|
- type: ndcg_at_1000 |
|
value: 44.188 |
|
- type: ndcg_at_3 |
|
value: 28.752 |
|
- type: ndcg_at_5 |
|
value: 32.462 |
|
- type: precision_at_1 |
|
value: 18.467 |
|
- type: precision_at_10 |
|
value: 6.006 |
|
- type: precision_at_100 |
|
value: 0.9169999999999999 |
|
- type: precision_at_1000 |
|
value: 0.104 |
|
- type: precision_at_3 |
|
value: 12.55 |
|
- type: precision_at_5 |
|
value: 9.395000000000001 |
|
- type: recall_at_1 |
|
value: 17.942 |
|
- type: recall_at_10 |
|
value: 57.440000000000005 |
|
- type: recall_at_100 |
|
value: 86.66199999999999 |
|
- type: recall_at_1000 |
|
value: 97.613 |
|
- type: recall_at_3 |
|
value: 36.271 |
|
- type: recall_at_5 |
|
value: 45.167 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 36.3657090743274 |
|
- type: f1 |
|
value: 27.22838800222161 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 1.0168718650250799 |
|
- type: f1 |
|
value: 0.0674636098084213 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 1.8829858776059176 |
|
- type: f1 |
|
value: 0.08021151737444676 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 8.681909885675857 |
|
- type: f1 |
|
value: 2.752826896423761 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 33.88016176143737 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 32.07643038274053 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/mind_small |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 30.81344342001539 |
|
- type: mrr |
|
value: 31.82078962760685 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nfcorpus |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.617 |
|
- type: map_at_10 |
|
value: 11.501 |
|
- type: map_at_100 |
|
value: 14.729999999999999 |
|
- type: map_at_1000 |
|
value: 16.209 |
|
- type: map_at_3 |
|
value: 8.275 |
|
- type: map_at_5 |
|
value: 9.853000000000002 |
|
- type: mrr_at_1 |
|
value: 41.486000000000004 |
|
- type: mrr_at_10 |
|
value: 51.471999999999994 |
|
- type: mrr_at_100 |
|
value: 52.020999999999994 |
|
- type: mrr_at_1000 |
|
value: 52.066 |
|
- type: mrr_at_3 |
|
value: 49.484 |
|
- type: mrr_at_5 |
|
value: 50.660000000000004 |
|
- type: ndcg_at_1 |
|
value: 38.854 |
|
- type: ndcg_at_10 |
|
value: 31.567 |
|
- type: ndcg_at_100 |
|
value: 29.842999999999996 |
|
- type: ndcg_at_1000 |
|
value: 38.995000000000005 |
|
- type: ndcg_at_3 |
|
value: 36.785000000000004 |
|
- type: ndcg_at_5 |
|
value: 34.955000000000005 |
|
- type: precision_at_1 |
|
value: 40.867 |
|
- type: precision_at_10 |
|
value: 23.591 |
|
- type: precision_at_100 |
|
value: 7.771 |
|
- type: precision_at_1000 |
|
value: 2.11 |
|
- type: precision_at_3 |
|
value: 35.397 |
|
- type: precision_at_5 |
|
value: 30.959999999999997 |
|
- type: recall_at_1 |
|
value: 4.617 |
|
- type: recall_at_10 |
|
value: 15.609 |
|
- type: recall_at_100 |
|
value: 31.313999999999997 |
|
- type: recall_at_1000 |
|
value: 63.085 |
|
- type: recall_at_3 |
|
value: 9.746 |
|
- type: recall_at_5 |
|
value: 12.295 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nq |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 28.797 |
|
- type: map_at_10 |
|
value: 44.822 |
|
- type: map_at_100 |
|
value: 45.891999999999996 |
|
- type: map_at_1000 |
|
value: 45.919 |
|
- type: map_at_3 |
|
value: 40.237 |
|
- type: map_at_5 |
|
value: 42.913000000000004 |
|
- type: mrr_at_1 |
|
value: 32.561 |
|
- type: mrr_at_10 |
|
value: 46.982 |
|
- type: mrr_at_100 |
|
value: 47.827 |
|
- type: mrr_at_1000 |
|
value: 47.843999999999994 |
|
- type: mrr_at_3 |
|
value: 43.26 |
|
- type: mrr_at_5 |
|
value: 45.527 |
|
- type: ndcg_at_1 |
|
value: 32.532 |
|
- type: ndcg_at_10 |
|
value: 52.832 |
|
- type: ndcg_at_100 |
|
value: 57.343999999999994 |
|
- type: ndcg_at_1000 |
|
value: 57.93899999999999 |
|
- type: ndcg_at_3 |
|
value: 44.246 |
|
- type: ndcg_at_5 |
|
value: 48.698 |
|
- type: precision_at_1 |
|
value: 32.532 |
|
- type: precision_at_10 |
|
value: 9.003 |
|
- type: precision_at_100 |
|
value: 1.1480000000000001 |
|
- type: precision_at_1000 |
|
value: 0.12 |
|
- type: precision_at_3 |
|
value: 20.605999999999998 |
|
- type: precision_at_5 |
|
value: 14.954 |
|
- type: recall_at_1 |
|
value: 28.797 |
|
- type: recall_at_10 |
|
value: 75.065 |
|
- type: recall_at_100 |
|
value: 94.6 |
|
- type: recall_at_1000 |
|
value: 98.967 |
|
- type: recall_at_3 |
|
value: 52.742 |
|
- type: recall_at_5 |
|
value: 63.012 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: quora |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 69.84700000000001 |
|
- type: map_at_10 |
|
value: 83.91499999999999 |
|
- type: map_at_100 |
|
value: 84.568 |
|
- type: map_at_1000 |
|
value: 84.584 |
|
- type: map_at_3 |
|
value: 80.87299999999999 |
|
- type: map_at_5 |
|
value: 82.76299999999999 |
|
- type: mrr_at_1 |
|
value: 80.4 |
|
- type: mrr_at_10 |
|
value: 86.843 |
|
- type: mrr_at_100 |
|
value: 86.956 |
|
- type: mrr_at_1000 |
|
value: 86.957 |
|
- type: mrr_at_3 |
|
value: 85.843 |
|
- type: mrr_at_5 |
|
value: 86.521 |
|
- type: ndcg_at_1 |
|
value: 80.4 |
|
- type: ndcg_at_10 |
|
value: 87.787 |
|
- type: ndcg_at_100 |
|
value: 89.039 |
|
- type: ndcg_at_1000 |
|
value: 89.137 |
|
- type: ndcg_at_3 |
|
value: 84.76700000000001 |
|
- type: ndcg_at_5 |
|
value: 86.413 |
|
- type: precision_at_1 |
|
value: 80.4 |
|
- type: precision_at_10 |
|
value: 13.391 |
|
- type: precision_at_100 |
|
value: 1.533 |
|
- type: precision_at_1000 |
|
value: 0.157 |
|
- type: precision_at_3 |
|
value: 37.123 |
|
- type: precision_at_5 |
|
value: 24.462 |
|
- type: recall_at_1 |
|
value: 69.84700000000001 |
|
- type: recall_at_10 |
|
value: 95.296 |
|
- type: recall_at_100 |
|
value: 99.543 |
|
- type: recall_at_1000 |
|
value: 99.98700000000001 |
|
- type: recall_at_3 |
|
value: 86.75 |
|
- type: recall_at_5 |
|
value: 91.33099999999999 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 54.24501738730203 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 61.28243705082983 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scidocs |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.473 |
|
- type: map_at_10 |
|
value: 8.944 |
|
- type: map_at_100 |
|
value: 11.21 |
|
- type: map_at_1000 |
|
value: 11.601 |
|
- type: map_at_3 |
|
value: 6.167 |
|
- type: map_at_5 |
|
value: 7.438000000000001 |
|
- type: mrr_at_1 |
|
value: 17.1 |
|
- type: mrr_at_10 |
|
value: 26.487 |
|
- type: mrr_at_100 |
|
value: 27.888 |
|
- type: mrr_at_1000 |
|
value: 27.961000000000002 |
|
- type: mrr_at_3 |
|
value: 23.25 |
|
- type: mrr_at_5 |
|
value: 24.91 |
|
- type: ndcg_at_1 |
|
value: 17.1 |
|
- type: ndcg_at_10 |
|
value: 15.615000000000002 |
|
- type: ndcg_at_100 |
|
value: 24.667 |
|
- type: ndcg_at_1000 |
|
value: 31.467 |
|
- type: ndcg_at_3 |
|
value: 14.035 |
|
- type: ndcg_at_5 |
|
value: 12.443 |
|
- type: precision_at_1 |
|
value: 17.1 |
|
- type: precision_at_10 |
|
value: 8.4 |
|
- type: precision_at_100 |
|
value: 2.149 |
|
- type: precision_at_1000 |
|
value: 0.378 |
|
- type: precision_at_3 |
|
value: 13.200000000000001 |
|
- type: precision_at_5 |
|
value: 11.06 |
|
- type: recall_at_1 |
|
value: 3.473 |
|
- type: recall_at_10 |
|
value: 17.087 |
|
- type: recall_at_100 |
|
value: 43.641999999999996 |
|
- type: recall_at_1000 |
|
value: 76.7 |
|
- type: recall_at_3 |
|
value: 8.037999999999998 |
|
- type: recall_at_5 |
|
value: 11.232000000000001 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 86.07032781899852 |
|
- type: cos_sim_spearman |
|
value: 81.86668245459153 |
|
- type: euclidean_pearson |
|
value: 83.75572948495356 |
|
- type: euclidean_spearman |
|
value: 81.88575221829207 |
|
- type: manhattan_pearson |
|
value: 83.73171218997966 |
|
- type: manhattan_spearman |
|
value: 81.85928771458329 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.29008828604368 |
|
- type: cos_sim_spearman |
|
value: 70.7510437896188 |
|
- type: euclidean_pearson |
|
value: 76.65867322096001 |
|
- type: euclidean_spearman |
|
value: 70.53984435296805 |
|
- type: manhattan_pearson |
|
value: 76.6398826461678 |
|
- type: manhattan_spearman |
|
value: 70.55153706770477 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.55610063096913 |
|
- type: cos_sim_spearman |
|
value: 84.36676850545378 |
|
- type: euclidean_pearson |
|
value: 82.81438612985889 |
|
- type: euclidean_spearman |
|
value: 84.182693686057 |
|
- type: manhattan_pearson |
|
value: 82.8355239074719 |
|
- type: manhattan_spearman |
|
value: 84.19280249146543 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 78.94275022740113 |
|
- type: cos_sim_spearman |
|
value: 74.50851813226338 |
|
- type: euclidean_pearson |
|
value: 77.30867917552419 |
|
- type: euclidean_spearman |
|
value: 74.55661368823343 |
|
- type: manhattan_pearson |
|
value: 77.31883134876524 |
|
- type: manhattan_spearman |
|
value: 74.58999819014154 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.62907185533146 |
|
- type: cos_sim_spearman |
|
value: 86.40667080261993 |
|
- type: euclidean_pearson |
|
value: 85.15184748925726 |
|
- type: euclidean_spearman |
|
value: 86.33853519247509 |
|
- type: manhattan_pearson |
|
value: 85.21542426870172 |
|
- type: manhattan_spearman |
|
value: 86.4076178438401 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.42449758804275 |
|
- type: cos_sim_spearman |
|
value: 84.7411616479609 |
|
- type: euclidean_pearson |
|
value: 83.56616729612806 |
|
- type: euclidean_spearman |
|
value: 84.44493050289694 |
|
- type: manhattan_pearson |
|
value: 83.50906591764574 |
|
- type: manhattan_spearman |
|
value: 84.39704993090794 |
|
- 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: 88.84843806728331 |
|
- type: cos_sim_spearman |
|
value: 89.03139214250334 |
|
- type: euclidean_pearson |
|
value: 89.63615835813032 |
|
- type: euclidean_spearman |
|
value: 89.33022202130817 |
|
- type: manhattan_pearson |
|
value: 89.67071925715891 |
|
- type: manhattan_spearman |
|
value: 89.29339683171531 |
|
- 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: 65.65559857216783 |
|
- type: cos_sim_spearman |
|
value: 65.86805861979079 |
|
- type: euclidean_pearson |
|
value: 66.69697475461513 |
|
- type: euclidean_spearman |
|
value: 66.07735691378713 |
|
- type: manhattan_pearson |
|
value: 66.63427637906918 |
|
- type: manhattan_spearman |
|
value: 65.95720565040364 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 86.06435608928308 |
|
- type: cos_sim_spearman |
|
value: 86.46139340079428 |
|
- type: euclidean_pearson |
|
value: 86.4874804471064 |
|
- type: euclidean_spearman |
|
value: 86.19390771731406 |
|
- type: manhattan_pearson |
|
value: 86.51184704840284 |
|
- type: manhattan_spearman |
|
value: 86.19094101171963 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 85.10723925640346 |
|
- type: mrr |
|
value: 95.62579305226365 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scifact |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 56.233 |
|
- type: map_at_10 |
|
value: 64.94 |
|
- type: map_at_100 |
|
value: 65.508 |
|
- type: map_at_1000 |
|
value: 65.537 |
|
- type: map_at_3 |
|
value: 62.121 |
|
- type: map_at_5 |
|
value: 63.92400000000001 |
|
- type: mrr_at_1 |
|
value: 58.667 |
|
- type: mrr_at_10 |
|
value: 66.352 |
|
- type: mrr_at_100 |
|
value: 66.751 |
|
- type: mrr_at_1000 |
|
value: 66.777 |
|
- type: mrr_at_3 |
|
value: 64.22200000000001 |
|
- type: mrr_at_5 |
|
value: 65.656 |
|
- type: ndcg_at_1 |
|
value: 58.667 |
|
- type: ndcg_at_10 |
|
value: 69.318 |
|
- type: ndcg_at_100 |
|
value: 71.822 |
|
- type: ndcg_at_1000 |
|
value: 72.578 |
|
- type: ndcg_at_3 |
|
value: 64.532 |
|
- type: ndcg_at_5 |
|
value: 67.292 |
|
- type: precision_at_1 |
|
value: 58.667 |
|
- type: precision_at_10 |
|
value: 9.133 |
|
- type: precision_at_100 |
|
value: 1.05 |
|
- type: precision_at_1000 |
|
value: 0.11199999999999999 |
|
- type: precision_at_3 |
|
value: 24.889 |
|
- type: precision_at_5 |
|
value: 16.733 |
|
- type: recall_at_1 |
|
value: 56.233 |
|
- type: recall_at_10 |
|
value: 81.206 |
|
- type: recall_at_100 |
|
value: 92.80000000000001 |
|
- type: recall_at_1000 |
|
value: 98.667 |
|
- type: recall_at_3 |
|
value: 68.672 |
|
- type: recall_at_5 |
|
value: 75.378 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.56336633663366 |
|
- type: cos_sim_ap |
|
value: 86.13024319858586 |
|
- type: cos_sim_f1 |
|
value: 76.80157946692991 |
|
- type: cos_sim_precision |
|
value: 75.82846003898635 |
|
- type: cos_sim_recall |
|
value: 77.8 |
|
- type: dot_accuracy |
|
value: 99.56336633663366 |
|
- type: dot_ap |
|
value: 86.13028343072267 |
|
- type: dot_f1 |
|
value: 76.80157946692991 |
|
- type: dot_precision |
|
value: 75.82846003898635 |
|
- type: dot_recall |
|
value: 77.8 |
|
- type: euclidean_accuracy |
|
value: 99.56336633663366 |
|
- type: euclidean_ap |
|
value: 86.13029040641543 |
|
- type: euclidean_f1 |
|
value: 76.80157946692991 |
|
- type: euclidean_precision |
|
value: 75.82846003898635 |
|
- type: euclidean_recall |
|
value: 77.8 |
|
- type: manhattan_accuracy |
|
value: 99.56534653465347 |
|
- type: manhattan_ap |
|
value: 86.24817068330776 |
|
- type: manhattan_f1 |
|
value: 77.13580246913581 |
|
- type: manhattan_precision |
|
value: 76.19512195121952 |
|
- type: manhattan_recall |
|
value: 78.10000000000001 |
|
- type: max_accuracy |
|
value: 99.56534653465347 |
|
- type: max_ap |
|
value: 86.24817068330776 |
|
- type: max_f1 |
|
value: 77.13580246913581 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 64.69564559409538 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 34.23127531581388 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 49.845357053686975 |
|
- type: mrr |
|
value: 50.59803656311009 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: mteb/summeval |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 29.02241691876377 |
|
- type: cos_sim_spearman |
|
value: 29.017719340560923 |
|
- type: dot_pearson |
|
value: 29.59373129445045 |
|
- type: dot_spearman |
|
value: 29.616196388331968 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: trec-covid |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.157 |
|
- type: map_at_10 |
|
value: 0.9440000000000001 |
|
- type: map_at_100 |
|
value: 4.61 |
|
- type: map_at_1000 |
|
value: 11.488 |
|
- type: map_at_3 |
|
value: 0.396 |
|
- type: map_at_5 |
|
value: 0.569 |
|
- type: mrr_at_1 |
|
value: 57.99999999999999 |
|
- type: mrr_at_10 |
|
value: 71.672 |
|
- type: mrr_at_100 |
|
value: 71.707 |
|
- type: mrr_at_1000 |
|
value: 71.707 |
|
- type: mrr_at_3 |
|
value: 68.333 |
|
- type: mrr_at_5 |
|
value: 70.533 |
|
- type: ndcg_at_1 |
|
value: 54.0 |
|
- type: ndcg_at_10 |
|
value: 45.216 |
|
- type: ndcg_at_100 |
|
value: 32.623999999999995 |
|
- type: ndcg_at_1000 |
|
value: 33.006 |
|
- type: ndcg_at_3 |
|
value: 51.76500000000001 |
|
- type: ndcg_at_5 |
|
value: 47.888999999999996 |
|
- type: precision_at_1 |
|
value: 57.99999999999999 |
|
- type: precision_at_10 |
|
value: 48.0 |
|
- type: precision_at_100 |
|
value: 32.74 |
|
- type: precision_at_1000 |
|
value: 14.588000000000001 |
|
- type: precision_at_3 |
|
value: 55.333 |
|
- type: precision_at_5 |
|
value: 51.2 |
|
- type: recall_at_1 |
|
value: 0.157 |
|
- type: recall_at_10 |
|
value: 1.212 |
|
- type: recall_at_100 |
|
value: 7.868 |
|
- type: recall_at_1000 |
|
value: 31.583 |
|
- type: recall_at_3 |
|
value: 0.443 |
|
- type: recall_at_5 |
|
value: 0.6779999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: webis-touche2020 |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 1.545 |
|
- type: map_at_10 |
|
value: 4.6690000000000005 |
|
- type: map_at_100 |
|
value: 8.982 |
|
- type: map_at_1000 |
|
value: 10.453999999999999 |
|
- type: map_at_3 |
|
value: 2.35 |
|
- type: map_at_5 |
|
value: 3.168 |
|
- type: mrr_at_1 |
|
value: 18.367 |
|
- type: mrr_at_10 |
|
value: 28.599999999999998 |
|
- type: mrr_at_100 |
|
value: 30.287 |
|
- type: mrr_at_1000 |
|
value: 30.339 |
|
- type: mrr_at_3 |
|
value: 24.490000000000002 |
|
- type: mrr_at_5 |
|
value: 27.040999999999997 |
|
- type: ndcg_at_1 |
|
value: 17.347 |
|
- type: ndcg_at_10 |
|
value: 13.868 |
|
- type: ndcg_at_100 |
|
value: 25.499 |
|
- type: ndcg_at_1000 |
|
value: 37.922 |
|
- type: ndcg_at_3 |
|
value: 13.746 |
|
- type: ndcg_at_5 |
|
value: 13.141 |
|
- type: precision_at_1 |
|
value: 18.367 |
|
- type: precision_at_10 |
|
value: 12.653 |
|
- type: precision_at_100 |
|
value: 5.776 |
|
- type: precision_at_1000 |
|
value: 1.3860000000000001 |
|
- type: precision_at_3 |
|
value: 13.605 |
|
- type: precision_at_5 |
|
value: 13.061 |
|
- type: recall_at_1 |
|
value: 1.545 |
|
- type: recall_at_10 |
|
value: 9.305 |
|
- type: recall_at_100 |
|
value: 38.084 |
|
- type: recall_at_1000 |
|
value: 75.897 |
|
- type: recall_at_3 |
|
value: 2.903 |
|
- type: recall_at_5 |
|
value: 4.8919999999999995 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 71.23839999999998 |
|
- type: ap |
|
value: 14.810293385203243 |
|
- type: f1 |
|
value: 55.08401453918053 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 58.21448783248444 |
|
- type: f1 |
|
value: 58.57246320620639 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 49.314744135178934 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 84.13899982118377 |
|
- type: cos_sim_ap |
|
value: 68.03329474978145 |
|
- type: cos_sim_f1 |
|
value: 63.31192005710206 |
|
- type: cos_sim_precision |
|
value: 57.6473136915078 |
|
- type: cos_sim_recall |
|
value: 70.21108179419525 |
|
- type: dot_accuracy |
|
value: 84.13899982118377 |
|
- type: dot_ap |
|
value: 68.03324775052695 |
|
- type: dot_f1 |
|
value: 63.31192005710206 |
|
- type: dot_precision |
|
value: 57.6473136915078 |
|
- type: dot_recall |
|
value: 70.21108179419525 |
|
- type: euclidean_accuracy |
|
value: 84.13899982118377 |
|
- type: euclidean_ap |
|
value: 68.03331114508686 |
|
- type: euclidean_f1 |
|
value: 63.31192005710206 |
|
- type: euclidean_precision |
|
value: 57.6473136915078 |
|
- type: euclidean_recall |
|
value: 70.21108179419525 |
|
- type: manhattan_accuracy |
|
value: 84.12111819753234 |
|
- type: manhattan_ap |
|
value: 67.97378509663328 |
|
- type: manhattan_f1 |
|
value: 63.38468945594607 |
|
- type: manhattan_precision |
|
value: 58.2779991146525 |
|
- type: manhattan_recall |
|
value: 69.47229551451187 |
|
- type: max_accuracy |
|
value: 84.13899982118377 |
|
- type: max_ap |
|
value: 68.03331114508686 |
|
- type: max_f1 |
|
value: 63.38468945594607 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.68774013272791 |
|
- type: cos_sim_ap |
|
value: 83.51733662214374 |
|
- type: cos_sim_f1 |
|
value: 75.82190771045259 |
|
- type: cos_sim_precision |
|
value: 72.72341628959276 |
|
- type: cos_sim_recall |
|
value: 79.19618109023713 |
|
- type: dot_accuracy |
|
value: 87.68774013272791 |
|
- type: dot_ap |
|
value: 83.5173527754126 |
|
- type: dot_f1 |
|
value: 75.82190771045259 |
|
- type: dot_precision |
|
value: 72.72341628959276 |
|
- type: dot_recall |
|
value: 79.19618109023713 |
|
- type: euclidean_accuracy |
|
value: 87.68774013272791 |
|
- type: euclidean_ap |
|
value: 83.51734651146224 |
|
- type: euclidean_f1 |
|
value: 75.82190771045259 |
|
- type: euclidean_precision |
|
value: 72.72341628959276 |
|
- type: euclidean_recall |
|
value: 79.19618109023713 |
|
- type: manhattan_accuracy |
|
value: 87.67221640082276 |
|
- type: manhattan_ap |
|
value: 83.51179463759505 |
|
- type: manhattan_f1 |
|
value: 75.76243980738361 |
|
- type: manhattan_precision |
|
value: 71.99112590127565 |
|
- type: manhattan_recall |
|
value: 79.95072374499537 |
|
- type: max_accuracy |
|
value: 87.68774013272791 |
|
- type: max_ap |
|
value: 83.5173527754126 |
|
- type: max_f1 |
|
value: 75.82190771045259 |
|
--- |
|
|
