|
--- |
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tags: |
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- mteb |
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model-index: |
|
- name: bert_1b3_mixlang_newstep3 |
|
results: |
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- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_counterfactual |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 70.11940298507463 |
|
- type: ap |
|
value: 32.37756187516329 |
|
- type: f1 |
|
value: 63.92312669545795 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 92.950675 |
|
- type: ap |
|
value: 89.69186819088316 |
|
- type: f1 |
|
value: 92.94108521905532 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 50.522 |
|
- type: f1 |
|
value: 48.76020527037862 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: arguana |
|
name: MTEB ArguAna |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 14.865 |
|
- type: map_at_10 |
|
value: 26.026 |
|
- type: map_at_100 |
|
value: 27.586 |
|
- type: map_at_1000 |
|
value: 27.622999999999998 |
|
- type: map_at_3 |
|
value: 21.859 |
|
- type: map_at_5 |
|
value: 24.049 |
|
- type: mrr_at_1 |
|
value: 15.504999999999999 |
|
- type: mrr_at_10 |
|
value: 26.265 |
|
- type: mrr_at_100 |
|
value: 27.810000000000002 |
|
- type: mrr_at_1000 |
|
value: 27.847 |
|
- type: mrr_at_3 |
|
value: 22.06 |
|
- type: mrr_at_5 |
|
value: 24.247 |
|
- type: ndcg_at_1 |
|
value: 14.865 |
|
- type: ndcg_at_10 |
|
value: 32.934999999999995 |
|
- type: ndcg_at_100 |
|
value: 40.627 |
|
- type: ndcg_at_1000 |
|
value: 41.524 |
|
- type: ndcg_at_3 |
|
value: 24.153 |
|
- type: ndcg_at_5 |
|
value: 28.133999999999997 |
|
- type: precision_at_1 |
|
value: 14.865 |
|
- type: precision_at_10 |
|
value: 5.541 |
|
- type: precision_at_100 |
|
value: 0.9159999999999999 |
|
- type: precision_at_1000 |
|
value: 0.099 |
|
- type: precision_at_3 |
|
value: 10.266 |
|
- type: precision_at_5 |
|
value: 8.108 |
|
- type: recall_at_1 |
|
value: 14.865 |
|
- type: recall_at_10 |
|
value: 55.405 |
|
- type: recall_at_100 |
|
value: 91.607 |
|
- type: recall_at_1000 |
|
value: 98.506 |
|
- type: recall_at_3 |
|
value: 30.797 |
|
- type: recall_at_5 |
|
value: 40.541 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-p2p |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 47.028296913559814 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 38.38123118365735 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/askubuntudupquestions-reranking |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 58.9616553564134 |
|
- type: mrr |
|
value: 72.16033504814668 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/biosses-sts |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 87.00899493452621 |
|
- type: cos_sim_spearman |
|
value: 83.85673000958819 |
|
- type: euclidean_pearson |
|
value: 85.65567511199598 |
|
- type: euclidean_spearman |
|
value: 83.90311660870698 |
|
- type: manhattan_pearson |
|
value: 85.37147829428248 |
|
- type: manhattan_spearman |
|
value: 83.74588411039522 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 75.5909090909091 |
|
- type: f1 |
|
value: 74.476632049175 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 38.981180962194216 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 34.9394829907367 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 31.277 |
|
- type: map_at_10 |
|
value: 42.153 |
|
- type: map_at_100 |
|
value: 43.683 |
|
- type: map_at_1000 |
|
value: 43.817 |
|
- type: map_at_3 |
|
value: 38.454 |
|
- type: map_at_5 |
|
value: 40.721000000000004 |
|
- type: mrr_at_1 |
|
value: 38.913 |
|
- type: mrr_at_10 |
|
value: 48.232 |
|
- type: mrr_at_100 |
|
value: 48.888 |
|
- type: mrr_at_1000 |
|
value: 48.929 |
|
- type: mrr_at_3 |
|
value: 45.279 |
|
- type: mrr_at_5 |
|
value: 47.089 |
|
- type: ndcg_at_1 |
|
value: 38.913 |
|
- type: ndcg_at_10 |
|
value: 48.518 |
|
- type: ndcg_at_100 |
|
value: 53.797 |
|
- type: ndcg_at_1000 |
|
value: 55.754999999999995 |
|
- type: ndcg_at_3 |
|
value: 43.122 |
|
- type: ndcg_at_5 |
|
value: 45.869 |
|
- type: precision_at_1 |
|
value: 38.913 |
|
- type: precision_at_10 |
|
value: 9.413 |
|
- type: precision_at_100 |
|
value: 1.567 |
|
- type: precision_at_1000 |
|
value: 0.20600000000000002 |
|
- type: precision_at_3 |
|
value: 20.791999999999998 |
|
- type: precision_at_5 |
|
value: 15.193000000000001 |
|
- type: recall_at_1 |
|
value: 31.277 |
|
- type: recall_at_10 |
|
value: 60.475 |
|
- type: recall_at_100 |
|
value: 82.675 |
|
- type: recall_at_1000 |
|
value: 95.298 |
|
- type: recall_at_3 |
|
value: 44.388 |
|
- type: recall_at_5 |
|
value: 52.242999999999995 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 25.593 |
|
- type: map_at_10 |
|
value: 35.089999999999996 |
|
- type: map_at_100 |
|
value: 36.269 |
|
- type: map_at_1000 |
|
value: 36.419000000000004 |
|
- type: map_at_3 |
|
value: 32.449 |
|
- type: map_at_5 |
|
value: 33.952 |
|
- type: mrr_at_1 |
|
value: 32.484 |
|
- type: mrr_at_10 |
|
value: 40.725 |
|
- type: mrr_at_100 |
|
value: 41.465999999999994 |
|
- type: mrr_at_1000 |
|
value: 41.521 |
|
- type: mrr_at_3 |
|
value: 38.757999999999996 |
|
- type: mrr_at_5 |
|
value: 39.869 |
|
- type: ndcg_at_1 |
|
value: 32.484 |
|
- type: ndcg_at_10 |
|
value: 40.384 |
|
- type: ndcg_at_100 |
|
value: 44.984 |
|
- type: ndcg_at_1000 |
|
value: 47.528 |
|
- type: ndcg_at_3 |
|
value: 36.77 |
|
- type: ndcg_at_5 |
|
value: 38.505 |
|
- type: precision_at_1 |
|
value: 32.484 |
|
- type: precision_at_10 |
|
value: 7.866 |
|
- type: precision_at_100 |
|
value: 1.2959999999999998 |
|
- type: precision_at_1000 |
|
value: 0.185 |
|
- type: precision_at_3 |
|
value: 18.195 |
|
- type: precision_at_5 |
|
value: 13.032 |
|
- type: recall_at_1 |
|
value: 25.593 |
|
- type: recall_at_10 |
|
value: 49.289 |
|
- type: recall_at_100 |
|
value: 69.84700000000001 |
|
- type: recall_at_1000 |
|
value: 86.329 |
|
- type: recall_at_3 |
|
value: 38.51 |
|
- type: recall_at_5 |
|
value: 43.349 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 35.116 |
|
- type: map_at_10 |
|
value: 45.908 |
|
- type: map_at_100 |
|
value: 46.979 |
|
- type: map_at_1000 |
|
value: 47.046 |
|
- type: map_at_3 |
|
value: 42.724000000000004 |
|
- type: map_at_5 |
|
value: 44.507999999999996 |
|
- type: mrr_at_1 |
|
value: 40.313 |
|
- type: mrr_at_10 |
|
value: 49.195 |
|
- type: mrr_at_100 |
|
value: 49.996 |
|
- type: mrr_at_1000 |
|
value: 50.03300000000001 |
|
- type: mrr_at_3 |
|
value: 46.708 |
|
- type: mrr_at_5 |
|
value: 48.187999999999995 |
|
- type: ndcg_at_1 |
|
value: 40.313 |
|
- type: ndcg_at_10 |
|
value: 51.43600000000001 |
|
- type: ndcg_at_100 |
|
value: 55.873 |
|
- type: ndcg_at_1000 |
|
value: 57.288 |
|
- type: ndcg_at_3 |
|
value: 46.038000000000004 |
|
- type: ndcg_at_5 |
|
value: 48.729 |
|
- type: precision_at_1 |
|
value: 40.313 |
|
- type: precision_at_10 |
|
value: 8.382000000000001 |
|
- type: precision_at_100 |
|
value: 1.145 |
|
- type: precision_at_1000 |
|
value: 0.132 |
|
- type: precision_at_3 |
|
value: 20.480999999999998 |
|
- type: precision_at_5 |
|
value: 14.219000000000001 |
|
- type: recall_at_1 |
|
value: 35.116 |
|
- type: recall_at_10 |
|
value: 64.524 |
|
- type: recall_at_100 |
|
value: 83.859 |
|
- type: recall_at_1000 |
|
value: 93.977 |
|
- type: recall_at_3 |
|
value: 50.102999999999994 |
|
- type: recall_at_5 |
|
value: 56.818000000000005 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.488 |
|
- type: map_at_10 |
|
value: 25.667 |
|
- type: map_at_100 |
|
value: 26.541999999999998 |
|
- type: map_at_1000 |
|
value: 26.637 |
|
- type: map_at_3 |
|
value: 23.483 |
|
- type: map_at_5 |
|
value: 24.667 |
|
- type: mrr_at_1 |
|
value: 20.0 |
|
- type: mrr_at_10 |
|
value: 27.178 |
|
- type: mrr_at_100 |
|
value: 27.989000000000004 |
|
- type: mrr_at_1000 |
|
value: 28.07 |
|
- type: mrr_at_3 |
|
value: 25.122 |
|
- type: mrr_at_5 |
|
value: 26.275 |
|
- type: ndcg_at_1 |
|
value: 20.0 |
|
- type: ndcg_at_10 |
|
value: 29.736 |
|
- type: ndcg_at_100 |
|
value: 34.358 |
|
- type: ndcg_at_1000 |
|
value: 37.036 |
|
- type: ndcg_at_3 |
|
value: 25.405 |
|
- type: ndcg_at_5 |
|
value: 27.441 |
|
- type: precision_at_1 |
|
value: 20.0 |
|
- type: precision_at_10 |
|
value: 4.712000000000001 |
|
- type: precision_at_100 |
|
value: 0.751 |
|
- type: precision_at_1000 |
|
value: 0.101 |
|
- type: precision_at_3 |
|
value: 10.885 |
|
- type: precision_at_5 |
|
value: 7.706 |
|
- type: recall_at_1 |
|
value: 18.488 |
|
- type: recall_at_10 |
|
value: 40.83 |
|
- type: recall_at_100 |
|
value: 62.707 |
|
- type: recall_at_1000 |
|
value: 83.41199999999999 |
|
- type: recall_at_3 |
|
value: 29.21 |
|
- type: recall_at_5 |
|
value: 34.009 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.532 |
|
- type: map_at_10 |
|
value: 15.193000000000001 |
|
- type: map_at_100 |
|
value: 16.381 |
|
- type: map_at_1000 |
|
value: 16.524 |
|
- type: map_at_3 |
|
value: 13.386000000000001 |
|
- type: map_at_5 |
|
value: 14.261 |
|
- type: mrr_at_1 |
|
value: 11.940000000000001 |
|
- type: mrr_at_10 |
|
value: 18.285 |
|
- type: mrr_at_100 |
|
value: 19.373 |
|
- type: mrr_at_1000 |
|
value: 19.467000000000002 |
|
- type: mrr_at_3 |
|
value: 16.252 |
|
- type: mrr_at_5 |
|
value: 17.26 |
|
- type: ndcg_at_1 |
|
value: 11.940000000000001 |
|
- type: ndcg_at_10 |
|
value: 19.095000000000002 |
|
- type: ndcg_at_100 |
|
value: 25.214 |
|
- type: ndcg_at_1000 |
|
value: 28.619 |
|
- type: ndcg_at_3 |
|
value: 15.482000000000001 |
|
- type: ndcg_at_5 |
|
value: 16.892 |
|
- type: precision_at_1 |
|
value: 11.940000000000001 |
|
- type: precision_at_10 |
|
value: 3.744 |
|
- type: precision_at_100 |
|
value: 0.815 |
|
- type: precision_at_1000 |
|
value: 0.124 |
|
- type: precision_at_3 |
|
value: 7.710999999999999 |
|
- type: precision_at_5 |
|
value: 5.647 |
|
- type: recall_at_1 |
|
value: 9.532 |
|
- type: recall_at_10 |
|
value: 28.026 |
|
- type: recall_at_100 |
|
value: 55.253 |
|
- type: recall_at_1000 |
|
value: 79.86999999999999 |
|
- type: recall_at_3 |
|
value: 18.084 |
|
- type: recall_at_5 |
|
value: 21.553 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 23.416 |
|
- type: map_at_10 |
|
value: 32.649 |
|
- type: map_at_100 |
|
value: 33.983000000000004 |
|
- type: map_at_1000 |
|
value: 34.107 |
|
- type: map_at_3 |
|
value: 29.254 |
|
- type: map_at_5 |
|
value: 31.339 |
|
- type: mrr_at_1 |
|
value: 28.778 |
|
- type: mrr_at_10 |
|
value: 37.513999999999996 |
|
- type: mrr_at_100 |
|
value: 38.458999999999996 |
|
- type: mrr_at_1000 |
|
value: 38.517 |
|
- type: mrr_at_3 |
|
value: 34.585 |
|
- type: mrr_at_5 |
|
value: 36.514 |
|
- type: ndcg_at_1 |
|
value: 28.778 |
|
- type: ndcg_at_10 |
|
value: 38.233 |
|
- type: ndcg_at_100 |
|
value: 44.14 |
|
- type: ndcg_at_1000 |
|
value: 46.583000000000006 |
|
- type: ndcg_at_3 |
|
value: 32.718 |
|
- type: ndcg_at_5 |
|
value: 35.778999999999996 |
|
- type: precision_at_1 |
|
value: 28.778 |
|
- type: precision_at_10 |
|
value: 7.2090000000000005 |
|
- type: precision_at_100 |
|
value: 1.194 |
|
- type: precision_at_1000 |
|
value: 0.16 |
|
- type: precision_at_3 |
|
value: 15.495999999999999 |
|
- type: precision_at_5 |
|
value: 11.781 |
|
- type: recall_at_1 |
|
value: 23.416 |
|
- type: recall_at_10 |
|
value: 50.063 |
|
- type: recall_at_100 |
|
value: 75.4 |
|
- type: recall_at_1000 |
|
value: 91.74799999999999 |
|
- type: recall_at_3 |
|
value: 35.113 |
|
- type: recall_at_5 |
|
value: 42.620999999999995 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.891 |
|
- type: map_at_10 |
|
value: 28.000000000000004 |
|
- type: map_at_100 |
|
value: 29.354999999999997 |
|
- type: map_at_1000 |
|
value: 29.453000000000003 |
|
- type: map_at_3 |
|
value: 24.551000000000002 |
|
- type: map_at_5 |
|
value: 26.383000000000003 |
|
- type: mrr_at_1 |
|
value: 23.402 |
|
- type: mrr_at_10 |
|
value: 32.308 |
|
- type: mrr_at_100 |
|
value: 33.242 |
|
- type: mrr_at_1000 |
|
value: 33.294000000000004 |
|
- type: mrr_at_3 |
|
value: 29.262 |
|
- type: mrr_at_5 |
|
value: 30.997000000000003 |
|
- type: ndcg_at_1 |
|
value: 23.402 |
|
- type: ndcg_at_10 |
|
value: 33.932 |
|
- type: ndcg_at_100 |
|
value: 39.925 |
|
- type: ndcg_at_1000 |
|
value: 42.126999999999995 |
|
- type: ndcg_at_3 |
|
value: 27.816999999999997 |
|
- type: ndcg_at_5 |
|
value: 30.554 |
|
- type: precision_at_1 |
|
value: 23.402 |
|
- type: precision_at_10 |
|
value: 6.747 |
|
- type: precision_at_100 |
|
value: 1.147 |
|
- type: precision_at_1000 |
|
value: 0.15 |
|
- type: precision_at_3 |
|
value: 13.469999999999999 |
|
- type: precision_at_5 |
|
value: 10.32 |
|
- type: recall_at_1 |
|
value: 18.891 |
|
- type: recall_at_10 |
|
value: 47.58 |
|
- type: recall_at_100 |
|
value: 73.668 |
|
- type: recall_at_1000 |
|
value: 88.77000000000001 |
|
- type: recall_at_3 |
|
value: 30.726 |
|
- type: recall_at_5 |
|
value: 37.547000000000004 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 20.303499999999996 |
|
- type: map_at_10 |
|
value: 28.263499999999997 |
|
- type: map_at_100 |
|
value: 29.431250000000002 |
|
- type: map_at_1000 |
|
value: 29.555166666666665 |
|
- type: map_at_3 |
|
value: 25.59133333333333 |
|
- type: map_at_5 |
|
value: 27.091500000000003 |
|
- type: mrr_at_1 |
|
value: 24.19725 |
|
- type: mrr_at_10 |
|
value: 31.803750000000004 |
|
- type: mrr_at_100 |
|
value: 32.691916666666664 |
|
- type: mrr_at_1000 |
|
value: 32.760083333333334 |
|
- type: mrr_at_3 |
|
value: 29.447749999999996 |
|
- type: mrr_at_5 |
|
value: 30.79858333333334 |
|
- type: ndcg_at_1 |
|
value: 24.19725 |
|
- type: ndcg_at_10 |
|
value: 33.11925000000001 |
|
- type: ndcg_at_100 |
|
value: 38.384916666666655 |
|
- type: ndcg_at_1000 |
|
value: 40.991499999999995 |
|
- type: ndcg_at_3 |
|
value: 28.5115 |
|
- type: ndcg_at_5 |
|
value: 30.718833333333333 |
|
- type: precision_at_1 |
|
value: 24.19725 |
|
- type: precision_at_10 |
|
value: 6.061666666666666 |
|
- type: precision_at_100 |
|
value: 1.0404166666666665 |
|
- type: precision_at_1000 |
|
value: 0.14583333333333337 |
|
- type: precision_at_3 |
|
value: 13.347083333333334 |
|
- type: precision_at_5 |
|
value: 9.747916666666667 |
|
- type: recall_at_1 |
|
value: 20.303499999999996 |
|
- type: recall_at_10 |
|
value: 43.93183333333334 |
|
- type: recall_at_100 |
|
value: 67.47800000000001 |
|
- type: recall_at_1000 |
|
value: 85.91425000000001 |
|
- type: recall_at_3 |
|
value: 31.160083333333333 |
|
- type: recall_at_5 |
|
value: 36.76633333333333 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.666 |
|
- type: map_at_10 |
|
value: 18.448999999999998 |
|
- type: map_at_100 |
|
value: 19.448 |
|
- type: map_at_1000 |
|
value: 19.54 |
|
- type: map_at_3 |
|
value: 16.581000000000003 |
|
- type: map_at_5 |
|
value: 17.485999999999997 |
|
- type: mrr_at_1 |
|
value: 14.11 |
|
- type: mrr_at_10 |
|
value: 19.796 |
|
- type: mrr_at_100 |
|
value: 20.785999999999998 |
|
- type: mrr_at_1000 |
|
value: 20.861 |
|
- type: mrr_at_3 |
|
value: 18.175 |
|
- type: mrr_at_5 |
|
value: 18.926000000000002 |
|
- type: ndcg_at_1 |
|
value: 14.11 |
|
- type: ndcg_at_10 |
|
value: 21.83 |
|
- type: ndcg_at_100 |
|
value: 27.017999999999997 |
|
- type: ndcg_at_1000 |
|
value: 29.520999999999997 |
|
- type: ndcg_at_3 |
|
value: 18.358 |
|
- type: ndcg_at_5 |
|
value: 19.719 |
|
- type: precision_at_1 |
|
value: 14.11 |
|
- type: precision_at_10 |
|
value: 3.819 |
|
- type: precision_at_100 |
|
value: 0.701 |
|
- type: precision_at_1000 |
|
value: 0.097 |
|
- type: precision_at_3 |
|
value: 8.384 |
|
- type: precision_at_5 |
|
value: 5.92 |
|
- type: recall_at_1 |
|
value: 12.666 |
|
- type: recall_at_10 |
|
value: 30.746000000000002 |
|
- type: recall_at_100 |
|
value: 54.675 |
|
- type: recall_at_1000 |
|
value: 73.57900000000001 |
|
- type: recall_at_3 |
|
value: 21.196 |
|
- type: recall_at_5 |
|
value: 24.552 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.53 |
|
- type: map_at_10 |
|
value: 17.881 |
|
- type: map_at_100 |
|
value: 18.923000000000002 |
|
- type: map_at_1000 |
|
value: 19.049 |
|
- type: map_at_3 |
|
value: 16.088 |
|
- type: map_at_5 |
|
value: 17.0 |
|
- type: mrr_at_1 |
|
value: 15.244 |
|
- type: mrr_at_10 |
|
value: 20.906 |
|
- type: mrr_at_100 |
|
value: 21.83 |
|
- type: mrr_at_1000 |
|
value: 21.913 |
|
- type: mrr_at_3 |
|
value: 19.104 |
|
- type: mrr_at_5 |
|
value: 19.994999999999997 |
|
- type: ndcg_at_1 |
|
value: 15.244 |
|
- type: ndcg_at_10 |
|
value: 21.541 |
|
- type: ndcg_at_100 |
|
value: 26.799 |
|
- type: ndcg_at_1000 |
|
value: 29.927 |
|
- type: ndcg_at_3 |
|
value: 18.208 |
|
- type: ndcg_at_5 |
|
value: 19.573999999999998 |
|
- type: precision_at_1 |
|
value: 15.244 |
|
- type: precision_at_10 |
|
value: 4.04 |
|
- type: precision_at_100 |
|
value: 0.808 |
|
- type: precision_at_1000 |
|
value: 0.125 |
|
- type: precision_at_3 |
|
value: 8.672 |
|
- type: precision_at_5 |
|
value: 6.283999999999999 |
|
- type: recall_at_1 |
|
value: 12.53 |
|
- type: recall_at_10 |
|
value: 29.601 |
|
- type: recall_at_100 |
|
value: 53.615 |
|
- type: recall_at_1000 |
|
value: 76.344 |
|
- type: recall_at_3 |
|
value: 20.159 |
|
- type: recall_at_5 |
|
value: 23.746000000000002 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.849 |
|
- type: map_at_10 |
|
value: 28.937 |
|
- type: map_at_100 |
|
value: 30.003999999999998 |
|
- type: map_at_1000 |
|
value: 30.122 |
|
- type: map_at_3 |
|
value: 26.150000000000002 |
|
- type: map_at_5 |
|
value: 27.744000000000003 |
|
- type: mrr_at_1 |
|
value: 25.093 |
|
- type: mrr_at_10 |
|
value: 32.143 |
|
- type: mrr_at_100 |
|
value: 33.053 |
|
- type: mrr_at_1000 |
|
value: 33.134 |
|
- type: mrr_at_3 |
|
value: 29.586000000000002 |
|
- type: mrr_at_5 |
|
value: 31.116 |
|
- type: ndcg_at_1 |
|
value: 25.093 |
|
- type: ndcg_at_10 |
|
value: 33.631 |
|
- type: ndcg_at_100 |
|
value: 38.893 |
|
- type: ndcg_at_1000 |
|
value: 41.692 |
|
- type: ndcg_at_3 |
|
value: 28.497 |
|
- type: ndcg_at_5 |
|
value: 31.028 |
|
- type: precision_at_1 |
|
value: 25.093 |
|
- type: precision_at_10 |
|
value: 5.765 |
|
- type: precision_at_100 |
|
value: 0.947 |
|
- type: precision_at_1000 |
|
value: 0.13 |
|
- type: precision_at_3 |
|
value: 12.623999999999999 |
|
- type: precision_at_5 |
|
value: 9.347 |
|
- type: recall_at_1 |
|
value: 21.849 |
|
- type: recall_at_10 |
|
value: 44.767 |
|
- type: recall_at_100 |
|
value: 68.298 |
|
- type: recall_at_1000 |
|
value: 88.107 |
|
- type: recall_at_3 |
|
value: 30.968 |
|
- type: recall_at_5 |
|
value: 37.19 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.409 |
|
- type: map_at_10 |
|
value: 27.750999999999998 |
|
- type: map_at_100 |
|
value: 29.241 |
|
- type: map_at_1000 |
|
value: 29.467 |
|
- type: map_at_3 |
|
value: 24.29 |
|
- type: map_at_5 |
|
value: 26.448 |
|
- type: mrr_at_1 |
|
value: 22.53 |
|
- type: mrr_at_10 |
|
value: 31.887999999999998 |
|
- type: mrr_at_100 |
|
value: 32.89 |
|
- type: mrr_at_1000 |
|
value: 32.956 |
|
- type: mrr_at_3 |
|
value: 28.854000000000003 |
|
- type: mrr_at_5 |
|
value: 30.751 |
|
- type: ndcg_at_1 |
|
value: 22.53 |
|
- type: ndcg_at_10 |
|
value: 33.827 |
|
- type: ndcg_at_100 |
|
value: 39.749 |
|
- type: ndcg_at_1000 |
|
value: 42.677 |
|
- type: ndcg_at_3 |
|
value: 28.101 |
|
- type: ndcg_at_5 |
|
value: 31.380999999999997 |
|
- type: precision_at_1 |
|
value: 22.53 |
|
- type: precision_at_10 |
|
value: 6.976 |
|
- type: precision_at_100 |
|
value: 1.443 |
|
- type: precision_at_1000 |
|
value: 0.23700000000000002 |
|
- type: precision_at_3 |
|
value: 13.966000000000001 |
|
- type: precision_at_5 |
|
value: 10.909 |
|
- type: recall_at_1 |
|
value: 18.409 |
|
- type: recall_at_10 |
|
value: 46.217000000000006 |
|
- type: recall_at_100 |
|
value: 72.882 |
|
- type: recall_at_1000 |
|
value: 91.625 |
|
- type: recall_at_3 |
|
value: 30.64 |
|
- type: recall_at_5 |
|
value: 38.948 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 15.875 |
|
- type: map_at_10 |
|
value: 21.484 |
|
- type: map_at_100 |
|
value: 22.367 |
|
- type: map_at_1000 |
|
value: 22.481 |
|
- type: map_at_3 |
|
value: 19.686 |
|
- type: map_at_5 |
|
value: 20.589 |
|
- type: mrr_at_1 |
|
value: 17.560000000000002 |
|
- type: mrr_at_10 |
|
value: 23.474999999999998 |
|
- type: mrr_at_100 |
|
value: 24.331 |
|
- type: mrr_at_1000 |
|
value: 24.426000000000002 |
|
- type: mrr_at_3 |
|
value: 21.688 |
|
- type: mrr_at_5 |
|
value: 22.603 |
|
- type: ndcg_at_1 |
|
value: 17.560000000000002 |
|
- type: ndcg_at_10 |
|
value: 25.268 |
|
- type: ndcg_at_100 |
|
value: 29.869 |
|
- type: ndcg_at_1000 |
|
value: 33.145 |
|
- type: ndcg_at_3 |
|
value: 21.622 |
|
- type: ndcg_at_5 |
|
value: 23.155 |
|
- type: precision_at_1 |
|
value: 17.560000000000002 |
|
- type: precision_at_10 |
|
value: 4.067 |
|
- type: precision_at_100 |
|
value: 0.6709999999999999 |
|
- type: precision_at_1000 |
|
value: 0.10300000000000001 |
|
- type: precision_at_3 |
|
value: 9.489 |
|
- type: precision_at_5 |
|
value: 6.617000000000001 |
|
- type: recall_at_1 |
|
value: 15.875 |
|
- type: recall_at_10 |
|
value: 35.064 |
|
- type: recall_at_100 |
|
value: 56.857 |
|
- type: recall_at_1000 |
|
value: 81.91199999999999 |
|
- type: recall_at_3 |
|
value: 24.823999999999998 |
|
- type: recall_at_5 |
|
value: 28.62 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: climate-fever |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 10.637 |
|
- type: map_at_10 |
|
value: 18.401999999999997 |
|
- type: map_at_100 |
|
value: 20.121 |
|
- type: map_at_1000 |
|
value: 20.305999999999997 |
|
- type: map_at_3 |
|
value: 15.348 |
|
- type: map_at_5 |
|
value: 16.841 |
|
- type: mrr_at_1 |
|
value: 23.909 |
|
- type: mrr_at_10 |
|
value: 34.512 |
|
- type: mrr_at_100 |
|
value: 35.485 |
|
- type: mrr_at_1000 |
|
value: 35.528999999999996 |
|
- type: mrr_at_3 |
|
value: 31.368000000000002 |
|
- type: mrr_at_5 |
|
value: 33.137 |
|
- type: ndcg_at_1 |
|
value: 23.909 |
|
- type: ndcg_at_10 |
|
value: 25.94 |
|
- type: ndcg_at_100 |
|
value: 33.116 |
|
- type: ndcg_at_1000 |
|
value: 36.502 |
|
- type: ndcg_at_3 |
|
value: 21.046 |
|
- type: ndcg_at_5 |
|
value: 22.715 |
|
- type: precision_at_1 |
|
value: 23.909 |
|
- type: precision_at_10 |
|
value: 8.195 |
|
- type: precision_at_100 |
|
value: 1.593 |
|
- type: precision_at_1000 |
|
value: 0.22200000000000003 |
|
- type: precision_at_3 |
|
value: 15.744 |
|
- type: precision_at_5 |
|
value: 12.142999999999999 |
|
- type: recall_at_1 |
|
value: 10.637 |
|
- type: recall_at_10 |
|
value: 31.251 |
|
- type: recall_at_100 |
|
value: 56.477999999999994 |
|
- type: recall_at_1000 |
|
value: 75.52600000000001 |
|
- type: recall_at_3 |
|
value: 19.482 |
|
- type: recall_at_5 |
|
value: 24.145 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: dbpedia-entity |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 7.786999999999999 |
|
- type: map_at_10 |
|
value: 16.182 |
|
- type: map_at_100 |
|
value: 22.698 |
|
- type: map_at_1000 |
|
value: 24.192 |
|
- type: map_at_3 |
|
value: 11.84 |
|
- type: map_at_5 |
|
value: 13.602 |
|
- type: mrr_at_1 |
|
value: 56.99999999999999 |
|
- type: mrr_at_10 |
|
value: 66.702 |
|
- type: mrr_at_100 |
|
value: 67.291 |
|
- type: mrr_at_1000 |
|
value: 67.301 |
|
- type: mrr_at_3 |
|
value: 64.708 |
|
- type: mrr_at_5 |
|
value: 65.946 |
|
- type: ndcg_at_1 |
|
value: 46.75 |
|
- type: ndcg_at_10 |
|
value: 35.469 |
|
- type: ndcg_at_100 |
|
value: 40.077 |
|
- type: ndcg_at_1000 |
|
value: 47.252 |
|
- type: ndcg_at_3 |
|
value: 39.096 |
|
- type: ndcg_at_5 |
|
value: 36.766 |
|
- type: precision_at_1 |
|
value: 56.99999999999999 |
|
- type: precision_at_10 |
|
value: 28.175 |
|
- type: precision_at_100 |
|
value: 9.423 |
|
- type: precision_at_1000 |
|
value: 2.017 |
|
- type: precision_at_3 |
|
value: 41.667 |
|
- type: precision_at_5 |
|
value: 35.199999999999996 |
|
- type: recall_at_1 |
|
value: 7.786999999999999 |
|
- type: recall_at_10 |
|
value: 21.428 |
|
- type: recall_at_100 |
|
value: 45.86 |
|
- type: recall_at_1000 |
|
value: 68.83 |
|
- type: recall_at_3 |
|
value: 12.992 |
|
- type: recall_at_5 |
|
value: 16.091 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 45.985 |
|
- type: f1 |
|
value: 39.52034839578244 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fever |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 39.141999999999996 |
|
- type: map_at_10 |
|
value: 50.255 |
|
- type: map_at_100 |
|
value: 50.938 |
|
- type: map_at_1000 |
|
value: 50.975 |
|
- type: map_at_3 |
|
value: 47.4 |
|
- type: map_at_5 |
|
value: 49.172 |
|
- type: mrr_at_1 |
|
value: 41.794 |
|
- type: mrr_at_10 |
|
value: 53.198 |
|
- type: mrr_at_100 |
|
value: 53.82900000000001 |
|
- type: mrr_at_1000 |
|
value: 53.857 |
|
- type: mrr_at_3 |
|
value: 50.32 |
|
- type: mrr_at_5 |
|
value: 52.105999999999995 |
|
- type: ndcg_at_1 |
|
value: 41.794 |
|
- type: ndcg_at_10 |
|
value: 56.411 |
|
- type: ndcg_at_100 |
|
value: 59.663 |
|
- type: ndcg_at_1000 |
|
value: 60.590999999999994 |
|
- type: ndcg_at_3 |
|
value: 50.73 |
|
- type: ndcg_at_5 |
|
value: 53.823 |
|
- type: precision_at_1 |
|
value: 41.794 |
|
- type: precision_at_10 |
|
value: 7.9159999999999995 |
|
- type: precision_at_100 |
|
value: 0.968 |
|
- type: precision_at_1000 |
|
value: 0.106 |
|
- type: precision_at_3 |
|
value: 20.627000000000002 |
|
- type: precision_at_5 |
|
value: 14.038 |
|
- type: recall_at_1 |
|
value: 39.141999999999996 |
|
- type: recall_at_10 |
|
value: 72.695 |
|
- type: recall_at_100 |
|
value: 87.44800000000001 |
|
- type: recall_at_1000 |
|
value: 94.313 |
|
- type: recall_at_3 |
|
value: 57.415000000000006 |
|
- type: recall_at_5 |
|
value: 64.851 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fiqa |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.715 |
|
- type: map_at_10 |
|
value: 30.253999999999998 |
|
- type: map_at_100 |
|
value: 32.123000000000005 |
|
- type: map_at_1000 |
|
value: 32.303 |
|
- type: map_at_3 |
|
value: 26.203 |
|
- type: map_at_5 |
|
value: 28.585 |
|
- type: mrr_at_1 |
|
value: 36.42 |
|
- type: mrr_at_10 |
|
value: 45.456 |
|
- type: mrr_at_100 |
|
value: 46.314 |
|
- type: mrr_at_1000 |
|
value: 46.356 |
|
- type: mrr_at_3 |
|
value: 42.798 |
|
- type: mrr_at_5 |
|
value: 44.365 |
|
- type: ndcg_at_1 |
|
value: 36.42 |
|
- type: ndcg_at_10 |
|
value: 37.747 |
|
- type: ndcg_at_100 |
|
value: 44.714999999999996 |
|
- type: ndcg_at_1000 |
|
value: 47.866 |
|
- type: ndcg_at_3 |
|
value: 34.166999999999994 |
|
- type: ndcg_at_5 |
|
value: 35.54 |
|
- type: precision_at_1 |
|
value: 36.42 |
|
- type: precision_at_10 |
|
value: 10.602 |
|
- type: precision_at_100 |
|
value: 1.773 |
|
- type: precision_at_1000 |
|
value: 0.234 |
|
- type: precision_at_3 |
|
value: 22.84 |
|
- type: precision_at_5 |
|
value: 17.315 |
|
- type: recall_at_1 |
|
value: 18.715 |
|
- type: recall_at_10 |
|
value: 44.199 |
|
- type: recall_at_100 |
|
value: 70.097 |
|
- type: recall_at_1000 |
|
value: 89.13600000000001 |
|
- type: recall_at_3 |
|
value: 30.543 |
|
- type: recall_at_5 |
|
value: 36.705 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: hotpotqa |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 30.608 |
|
- type: map_at_10 |
|
value: 45.829 |
|
- type: map_at_100 |
|
value: 46.786 |
|
- type: map_at_1000 |
|
value: 46.869 |
|
- type: map_at_3 |
|
value: 42.834 |
|
- type: map_at_5 |
|
value: 44.566 |
|
- type: mrr_at_1 |
|
value: 61.214999999999996 |
|
- type: mrr_at_10 |
|
value: 69.072 |
|
- type: mrr_at_100 |
|
value: 69.492 |
|
- type: mrr_at_1000 |
|
value: 69.512 |
|
- type: mrr_at_3 |
|
value: 67.553 |
|
- type: mrr_at_5 |
|
value: 68.446 |
|
- type: ndcg_at_1 |
|
value: 61.214999999999996 |
|
- type: ndcg_at_10 |
|
value: 54.66 |
|
- type: ndcg_at_100 |
|
value: 58.342000000000006 |
|
- type: ndcg_at_1000 |
|
value: 60.101000000000006 |
|
- type: ndcg_at_3 |
|
value: 49.932 |
|
- type: ndcg_at_5 |
|
value: 52.342999999999996 |
|
- type: precision_at_1 |
|
value: 61.214999999999996 |
|
- type: precision_at_10 |
|
value: 11.65 |
|
- type: precision_at_100 |
|
value: 1.4529999999999998 |
|
- type: precision_at_1000 |
|
value: 0.169 |
|
- type: precision_at_3 |
|
value: 31.78 |
|
- type: precision_at_5 |
|
value: 20.979999999999997 |
|
- type: recall_at_1 |
|
value: 30.608 |
|
- type: recall_at_10 |
|
value: 58.251 |
|
- type: recall_at_100 |
|
value: 72.667 |
|
- type: recall_at_1000 |
|
value: 84.396 |
|
- type: recall_at_3 |
|
value: 47.67 |
|
- type: recall_at_5 |
|
value: 52.451 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 90.21999999999998 |
|
- type: ap |
|
value: 85.88889163834975 |
|
- type: f1 |
|
value: 90.20542534971861 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: msmarco |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.785 |
|
- type: map_at_10 |
|
value: 31.596000000000004 |
|
- type: map_at_100 |
|
value: 32.849000000000004 |
|
- type: map_at_1000 |
|
value: 32.903999999999996 |
|
- type: map_at_3 |
|
value: 27.772000000000002 |
|
- type: map_at_5 |
|
value: 29.952 |
|
- type: mrr_at_1 |
|
value: 20.344 |
|
- type: mrr_at_10 |
|
value: 32.146 |
|
- type: mrr_at_100 |
|
value: 33.349000000000004 |
|
- type: mrr_at_1000 |
|
value: 33.396 |
|
- type: mrr_at_3 |
|
value: 28.403 |
|
- type: mrr_at_5 |
|
value: 30.542 |
|
- type: ndcg_at_1 |
|
value: 20.358 |
|
- type: ndcg_at_10 |
|
value: 38.288 |
|
- type: ndcg_at_100 |
|
value: 44.383 |
|
- type: ndcg_at_1000 |
|
value: 45.714 |
|
- type: ndcg_at_3 |
|
value: 30.525999999999996 |
|
- type: ndcg_at_5 |
|
value: 34.393 |
|
- type: precision_at_1 |
|
value: 20.358 |
|
- type: precision_at_10 |
|
value: 6.16 |
|
- type: precision_at_100 |
|
value: 0.9209999999999999 |
|
- type: precision_at_1000 |
|
value: 0.104 |
|
- type: precision_at_3 |
|
value: 13.08 |
|
- type: precision_at_5 |
|
value: 9.799 |
|
- type: recall_at_1 |
|
value: 19.785 |
|
- type: recall_at_10 |
|
value: 58.916000000000004 |
|
- type: recall_at_100 |
|
value: 87.24 |
|
- type: recall_at_1000 |
|
value: 97.37599999999999 |
|
- type: recall_at_3 |
|
value: 37.872 |
|
- type: recall_at_5 |
|
value: 47.116 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 88.63429092567262 |
|
- type: f1 |
|
value: 88.58612904162257 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 58.080255357957135 |
|
- type: f1 |
|
value: 39.561402859935 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 65.03026227303296 |
|
- type: f1 |
|
value: 61.10334739098155 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 71.05245460659046 |
|
- type: f1 |
|
value: 69.96280851244295 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 33.9762359299763 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 31.670044418802444 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/mind_small |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 29.32330726926572 |
|
- type: mrr |
|
value: 30.16727607430052 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nfcorpus |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.552 |
|
- type: map_at_10 |
|
value: 10.692 |
|
- type: map_at_100 |
|
value: 13.835 |
|
- type: map_at_1000 |
|
value: 15.305 |
|
- type: map_at_3 |
|
value: 7.5009999999999994 |
|
- type: map_at_5 |
|
value: 8.988 |
|
- type: mrr_at_1 |
|
value: 39.318999999999996 |
|
- type: mrr_at_10 |
|
value: 48.809000000000005 |
|
- type: mrr_at_100 |
|
value: 49.382 |
|
- type: mrr_at_1000 |
|
value: 49.442 |
|
- type: mrr_at_3 |
|
value: 46.078 |
|
- type: mrr_at_5 |
|
value: 48.091 |
|
- type: ndcg_at_1 |
|
value: 37.152 |
|
- type: ndcg_at_10 |
|
value: 30.159000000000002 |
|
- type: ndcg_at_100 |
|
value: 28.371000000000002 |
|
- type: ndcg_at_1000 |
|
value: 37.632 |
|
- type: ndcg_at_3 |
|
value: 34.662 |
|
- type: ndcg_at_5 |
|
value: 32.814 |
|
- type: precision_at_1 |
|
value: 38.7 |
|
- type: precision_at_10 |
|
value: 23.034 |
|
- type: precision_at_100 |
|
value: 7.588 |
|
- type: precision_at_1000 |
|
value: 2.0709999999999997 |
|
- type: precision_at_3 |
|
value: 33.024 |
|
- type: precision_at_5 |
|
value: 29.164 |
|
- type: recall_at_1 |
|
value: 4.552 |
|
- type: recall_at_10 |
|
value: 14.827000000000002 |
|
- type: recall_at_100 |
|
value: 29.256 |
|
- type: recall_at_1000 |
|
value: 61.739 |
|
- type: recall_at_3 |
|
value: 8.38 |
|
- type: recall_at_5 |
|
value: 11.123 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nq |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 25.424999999999997 |
|
- type: map_at_10 |
|
value: 39.972 |
|
- type: map_at_100 |
|
value: 41.163 |
|
- type: map_at_1000 |
|
value: 41.202 |
|
- type: map_at_3 |
|
value: 35.546 |
|
- type: map_at_5 |
|
value: 38.146 |
|
- type: mrr_at_1 |
|
value: 28.794999999999998 |
|
- type: mrr_at_10 |
|
value: 42.315999999999995 |
|
- type: mrr_at_100 |
|
value: 43.253 |
|
- type: mrr_at_1000 |
|
value: 43.282 |
|
- type: mrr_at_3 |
|
value: 38.649 |
|
- type: mrr_at_5 |
|
value: 40.858 |
|
- type: ndcg_at_1 |
|
value: 28.766000000000002 |
|
- type: ndcg_at_10 |
|
value: 47.614000000000004 |
|
- type: ndcg_at_100 |
|
value: 52.676 |
|
- type: ndcg_at_1000 |
|
value: 53.574 |
|
- type: ndcg_at_3 |
|
value: 39.292 |
|
- type: ndcg_at_5 |
|
value: 43.633 |
|
- type: precision_at_1 |
|
value: 28.766000000000002 |
|
- type: precision_at_10 |
|
value: 8.201 |
|
- type: precision_at_100 |
|
value: 1.099 |
|
- type: precision_at_1000 |
|
value: 0.11800000000000001 |
|
- type: precision_at_3 |
|
value: 18.201999999999998 |
|
- type: precision_at_5 |
|
value: 13.447000000000001 |
|
- type: recall_at_1 |
|
value: 25.424999999999997 |
|
- type: recall_at_10 |
|
value: 68.586 |
|
- type: recall_at_100 |
|
value: 90.556 |
|
- type: recall_at_1000 |
|
value: 97.197 |
|
- type: recall_at_3 |
|
value: 47.033 |
|
- type: recall_at_5 |
|
value: 57.044 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: quora |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 70.054 |
|
- type: map_at_10 |
|
value: 83.991 |
|
- type: map_at_100 |
|
value: 84.63000000000001 |
|
- type: map_at_1000 |
|
value: 84.648 |
|
- type: map_at_3 |
|
value: 80.982 |
|
- type: map_at_5 |
|
value: 82.857 |
|
- type: mrr_at_1 |
|
value: 80.76 |
|
- type: mrr_at_10 |
|
value: 87.079 |
|
- type: mrr_at_100 |
|
value: 87.185 |
|
- type: mrr_at_1000 |
|
value: 87.18599999999999 |
|
- type: mrr_at_3 |
|
value: 86.03 |
|
- type: mrr_at_5 |
|
value: 86.771 |
|
- type: ndcg_at_1 |
|
value: 80.75 |
|
- type: ndcg_at_10 |
|
value: 87.85300000000001 |
|
- type: ndcg_at_100 |
|
value: 89.105 |
|
- type: ndcg_at_1000 |
|
value: 89.213 |
|
- type: ndcg_at_3 |
|
value: 84.87400000000001 |
|
- type: ndcg_at_5 |
|
value: 86.51299999999999 |
|
- type: precision_at_1 |
|
value: 80.75 |
|
- type: precision_at_10 |
|
value: 13.352 |
|
- type: precision_at_100 |
|
value: 1.528 |
|
- type: precision_at_1000 |
|
value: 0.157 |
|
- type: precision_at_3 |
|
value: 37.113 |
|
- type: precision_at_5 |
|
value: 24.424 |
|
- type: recall_at_1 |
|
value: 70.054 |
|
- type: recall_at_10 |
|
value: 95.209 |
|
- type: recall_at_100 |
|
value: 99.497 |
|
- type: recall_at_1000 |
|
value: 99.973 |
|
- type: recall_at_3 |
|
value: 86.654 |
|
- type: recall_at_5 |
|
value: 91.313 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 42.71909082787674 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 56.92567540870805 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scidocs |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 2.225 |
|
- type: map_at_10 |
|
value: 5.785 |
|
- type: map_at_100 |
|
value: 7.6240000000000006 |
|
- type: map_at_1000 |
|
value: 8.094999999999999 |
|
- type: map_at_3 |
|
value: 3.882 |
|
- type: map_at_5 |
|
value: 4.715 |
|
- type: mrr_at_1 |
|
value: 11.0 |
|
- type: mrr_at_10 |
|
value: 18.049 |
|
- type: mrr_at_100 |
|
value: 19.475 |
|
- type: mrr_at_1000 |
|
value: 19.599 |
|
- type: mrr_at_3 |
|
value: 15.082999999999998 |
|
- type: mrr_at_5 |
|
value: 16.583000000000002 |
|
- type: ndcg_at_1 |
|
value: 11.0 |
|
- type: ndcg_at_10 |
|
value: 10.59 |
|
- type: ndcg_at_100 |
|
value: 18.68 |
|
- type: ndcg_at_1000 |
|
value: 27.327 |
|
- type: ndcg_at_3 |
|
value: 8.932 |
|
- type: ndcg_at_5 |
|
value: 8.126 |
|
- type: precision_at_1 |
|
value: 11.0 |
|
- type: precision_at_10 |
|
value: 5.89 |
|
- type: precision_at_100 |
|
value: 1.778 |
|
- type: precision_at_1000 |
|
value: 0.385 |
|
- type: precision_at_3 |
|
value: 8.333 |
|
- type: precision_at_5 |
|
value: 7.3 |
|
- type: recall_at_1 |
|
value: 2.225 |
|
- type: recall_at_10 |
|
value: 11.948 |
|
- type: recall_at_100 |
|
value: 36.097 |
|
- type: recall_at_1000 |
|
value: 78.145 |
|
- type: recall_at_3 |
|
value: 5.078 |
|
- type: recall_at_5 |
|
value: 7.4079999999999995 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.87898494199837 |
|
- type: cos_sim_spearman |
|
value: 79.3815141247343 |
|
- type: euclidean_pearson |
|
value: 80.984944764735 |
|
- type: euclidean_spearman |
|
value: 79.37984688714191 |
|
- type: manhattan_pearson |
|
value: 80.96139326762788 |
|
- type: manhattan_spearman |
|
value: 79.34882764221987 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 82.94123934276303 |
|
- type: cos_sim_spearman |
|
value: 73.64821774752144 |
|
- type: euclidean_pearson |
|
value: 79.09149672589201 |
|
- type: euclidean_spearman |
|
value: 73.64174833442063 |
|
- type: manhattan_pearson |
|
value: 79.05135129686983 |
|
- type: manhattan_spearman |
|
value: 73.57858840270084 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 71.37047316191514 |
|
- type: cos_sim_spearman |
|
value: 75.56797051373606 |
|
- type: euclidean_pearson |
|
value: 74.59038333631109 |
|
- type: euclidean_spearman |
|
value: 75.55966023907652 |
|
- type: manhattan_pearson |
|
value: 74.56600039917967 |
|
- type: manhattan_spearman |
|
value: 75.52139454559969 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 71.75410054949431 |
|
- type: cos_sim_spearman |
|
value: 72.09826786050286 |
|
- type: euclidean_pearson |
|
value: 72.30015801748517 |
|
- type: euclidean_spearman |
|
value: 72.09347126863909 |
|
- type: manhattan_pearson |
|
value: 72.2692656804079 |
|
- type: manhattan_spearman |
|
value: 72.07403601010577 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.09663528706463 |
|
- type: cos_sim_spearman |
|
value: 85.6296813586495 |
|
- type: euclidean_pearson |
|
value: 84.14347920777777 |
|
- type: euclidean_spearman |
|
value: 85.62948425849926 |
|
- type: manhattan_pearson |
|
value: 84.08840896634038 |
|
- type: manhattan_spearman |
|
value: 85.56264430897471 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 78.55984417539631 |
|
- type: cos_sim_spearman |
|
value: 82.06700938579174 |
|
- type: euclidean_pearson |
|
value: 80.92277218507344 |
|
- type: euclidean_spearman |
|
value: 82.06297899287695 |
|
- type: manhattan_pearson |
|
value: 80.89292734584946 |
|
- type: manhattan_spearman |
|
value: 82.01121177547141 |
|
- 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: 88.70738419575085 |
|
- type: cos_sim_spearman |
|
value: 88.99910283221313 |
|
- type: euclidean_pearson |
|
value: 88.91458218447116 |
|
- type: euclidean_spearman |
|
value: 88.97188755639708 |
|
- type: manhattan_pearson |
|
value: 88.93397958768632 |
|
- type: manhattan_spearman |
|
value: 89.0514960821245 |
|
- 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: 65.30101408630514 |
|
- type: cos_sim_spearman |
|
value: 66.15672143838582 |
|
- type: euclidean_pearson |
|
value: 66.61257552376895 |
|
- type: euclidean_spearman |
|
value: 66.00319920690566 |
|
- type: manhattan_pearson |
|
value: 66.81435622246758 |
|
- type: manhattan_spearman |
|
value: 66.35221377631379 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 81.94191078286725 |
|
- type: cos_sim_spearman |
|
value: 83.69085688689903 |
|
- type: euclidean_pearson |
|
value: 83.28942607749994 |
|
- type: euclidean_spearman |
|
value: 83.69370814043747 |
|
- type: manhattan_pearson |
|
value: 83.3553242227074 |
|
- type: manhattan_spearman |
|
value: 83.74306572840383 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 88.02503921524934 |
|
- type: mrr |
|
value: 96.47891777793738 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scifact |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 51.24999999999999 |
|
- type: map_at_10 |
|
value: 61.472 |
|
- type: map_at_100 |
|
value: 62.132 |
|
- type: map_at_1000 |
|
value: 62.161 |
|
- type: map_at_3 |
|
value: 58.18299999999999 |
|
- type: map_at_5 |
|
value: 60.246 |
|
- type: mrr_at_1 |
|
value: 54.0 |
|
- type: mrr_at_10 |
|
value: 62.395 |
|
- type: mrr_at_100 |
|
value: 62.936 |
|
- type: mrr_at_1000 |
|
value: 62.965 |
|
- type: mrr_at_3 |
|
value: 59.833000000000006 |
|
- type: mrr_at_5 |
|
value: 61.5 |
|
- type: ndcg_at_1 |
|
value: 54.0 |
|
- type: ndcg_at_10 |
|
value: 66.235 |
|
- type: ndcg_at_100 |
|
value: 69.279 |
|
- type: ndcg_at_1000 |
|
value: 70.044 |
|
- type: ndcg_at_3 |
|
value: 60.679 |
|
- type: ndcg_at_5 |
|
value: 63.80200000000001 |
|
- type: precision_at_1 |
|
value: 54.0 |
|
- type: precision_at_10 |
|
value: 9.167 |
|
- type: precision_at_100 |
|
value: 1.0699999999999998 |
|
- type: precision_at_1000 |
|
value: 0.11299999999999999 |
|
- type: precision_at_3 |
|
value: 24.111 |
|
- type: precision_at_5 |
|
value: 16.333000000000002 |
|
- type: recall_at_1 |
|
value: 51.24999999999999 |
|
- type: recall_at_10 |
|
value: 79.833 |
|
- type: recall_at_100 |
|
value: 94.0 |
|
- type: recall_at_1000 |
|
value: 100.0 |
|
- type: recall_at_3 |
|
value: 65.267 |
|
- type: recall_at_5 |
|
value: 72.956 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.62673267326733 |
|
- type: cos_sim_ap |
|
value: 87.07482534376774 |
|
- type: cos_sim_f1 |
|
value: 80.63687724704674 |
|
- type: cos_sim_precision |
|
value: 82.89334741288279 |
|
- type: cos_sim_recall |
|
value: 78.5 |
|
- type: dot_accuracy |
|
value: 99.63564356435643 |
|
- type: dot_ap |
|
value: 86.98432756163903 |
|
- type: dot_f1 |
|
value: 80.91286307053943 |
|
- type: dot_precision |
|
value: 84.05172413793103 |
|
- type: dot_recall |
|
value: 78.0 |
|
- type: euclidean_accuracy |
|
value: 99.62673267326733 |
|
- type: euclidean_ap |
|
value: 87.0756316041764 |
|
- type: euclidean_f1 |
|
value: 80.53553038105046 |
|
- type: euclidean_precision |
|
value: 83.01486199575372 |
|
- type: euclidean_recall |
|
value: 78.2 |
|
- type: manhattan_accuracy |
|
value: 99.62574257425743 |
|
- type: manhattan_ap |
|
value: 87.05953308523233 |
|
- type: manhattan_f1 |
|
value: 80.50632911392405 |
|
- type: manhattan_precision |
|
value: 81.53846153846153 |
|
- type: manhattan_recall |
|
value: 79.5 |
|
- type: max_accuracy |
|
value: 99.63564356435643 |
|
- type: max_ap |
|
value: 87.0756316041764 |
|
- type: max_f1 |
|
value: 80.91286307053943 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 53.59692640735744 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 32.86771187657918 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 45.705711066037644 |
|
- type: mrr |
|
value: 46.25163133435192 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: mteb/summeval |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 30.066382997227624 |
|
- type: cos_sim_spearman |
|
value: 31.00934876843689 |
|
- type: dot_pearson |
|
value: 30.419206995727873 |
|
- type: dot_spearman |
|
value: 31.046571150093747 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: trec-covid |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.173 |
|
- type: map_at_10 |
|
value: 1.154 |
|
- type: map_at_100 |
|
value: 5.8180000000000005 |
|
- type: map_at_1000 |
|
value: 14.892 |
|
- type: map_at_3 |
|
value: 0.415 |
|
- type: map_at_5 |
|
value: 0.641 |
|
- type: mrr_at_1 |
|
value: 68.0 |
|
- type: mrr_at_10 |
|
value: 76.869 |
|
- type: mrr_at_100 |
|
value: 77.264 |
|
- type: mrr_at_1000 |
|
value: 77.264 |
|
- type: mrr_at_3 |
|
value: 75.333 |
|
- type: mrr_at_5 |
|
value: 76.333 |
|
- type: ndcg_at_1 |
|
value: 62.0 |
|
- type: ndcg_at_10 |
|
value: 50.81 |
|
- type: ndcg_at_100 |
|
value: 37.659 |
|
- type: ndcg_at_1000 |
|
value: 37.444 |
|
- type: ndcg_at_3 |
|
value: 55.11200000000001 |
|
- type: ndcg_at_5 |
|
value: 51.858000000000004 |
|
- type: precision_at_1 |
|
value: 68.0 |
|
- type: precision_at_10 |
|
value: 54.800000000000004 |
|
- type: precision_at_100 |
|
value: 38.36 |
|
- type: precision_at_1000 |
|
value: 16.88 |
|
- type: precision_at_3 |
|
value: 57.99999999999999 |
|
- type: precision_at_5 |
|
value: 54.800000000000004 |
|
- type: recall_at_1 |
|
value: 0.173 |
|
- type: recall_at_10 |
|
value: 1.435 |
|
- type: recall_at_100 |
|
value: 9.259 |
|
- type: recall_at_1000 |
|
value: 36.033 |
|
- type: recall_at_3 |
|
value: 0.447 |
|
- type: recall_at_5 |
|
value: 0.74 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: webis-touche2020 |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 1.228 |
|
- type: map_at_10 |
|
value: 4.633 |
|
- type: map_at_100 |
|
value: 9.171 |
|
- type: map_at_1000 |
|
value: 10.58 |
|
- type: map_at_3 |
|
value: 2.413 |
|
- type: map_at_5 |
|
value: 3.3640000000000003 |
|
- type: mrr_at_1 |
|
value: 16.326999999999998 |
|
- type: mrr_at_10 |
|
value: 27.071 |
|
- type: mrr_at_100 |
|
value: 28.454 |
|
- type: mrr_at_1000 |
|
value: 28.475 |
|
- type: mrr_at_3 |
|
value: 19.048000000000002 |
|
- type: mrr_at_5 |
|
value: 24.354 |
|
- type: ndcg_at_1 |
|
value: 14.285999999999998 |
|
- type: ndcg_at_10 |
|
value: 13.312 |
|
- type: ndcg_at_100 |
|
value: 25.587 |
|
- type: ndcg_at_1000 |
|
value: 37.879000000000005 |
|
- type: ndcg_at_3 |
|
value: 11.591 |
|
- type: ndcg_at_5 |
|
value: 12.536 |
|
- type: precision_at_1 |
|
value: 16.326999999999998 |
|
- type: precision_at_10 |
|
value: 13.264999999999999 |
|
- type: precision_at_100 |
|
value: 6.061 |
|
- type: precision_at_1000 |
|
value: 1.4040000000000001 |
|
- type: precision_at_3 |
|
value: 12.245000000000001 |
|
- type: precision_at_5 |
|
value: 13.877999999999998 |
|
- type: recall_at_1 |
|
value: 1.228 |
|
- type: recall_at_10 |
|
value: 9.759 |
|
- type: recall_at_100 |
|
value: 38.809 |
|
- type: recall_at_1000 |
|
value: 76.229 |
|
- type: recall_at_3 |
|
value: 2.738 |
|
- type: recall_at_5 |
|
value: 5.510000000000001 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 69.33179999999999 |
|
- type: ap |
|
value: 14.379598043710034 |
|
- type: f1 |
|
value: 53.89665138084001 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 58.245614035087726 |
|
- type: f1 |
|
value: 58.3152945231724 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 38.38161204174159 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 82.60118018716099 |
|
- type: cos_sim_ap |
|
value: 62.5064927795416 |
|
- type: cos_sim_f1 |
|
value: 59.50177935943061 |
|
- type: cos_sim_precision |
|
value: 54.05172413793103 |
|
- type: cos_sim_recall |
|
value: 66.17414248021109 |
|
- type: dot_accuracy |
|
value: 82.52369315133814 |
|
- type: dot_ap |
|
value: 62.36545569178682 |
|
- type: dot_f1 |
|
value: 59.5539204414808 |
|
- type: dot_precision |
|
value: 52.77098614506927 |
|
- type: dot_recall |
|
value: 68.33773087071239 |
|
- type: euclidean_accuracy |
|
value: 82.62502235202956 |
|
- type: euclidean_ap |
|
value: 62.51708062651598 |
|
- type: euclidean_f1 |
|
value: 59.48887837198297 |
|
- type: euclidean_precision |
|
value: 53.925353925353924 |
|
- type: euclidean_recall |
|
value: 66.33245382585751 |
|
- type: manhattan_accuracy |
|
value: 82.57733802229242 |
|
- type: manhattan_ap |
|
value: 62.4034159268756 |
|
- type: manhattan_f1 |
|
value: 59.42896615242921 |
|
- type: manhattan_precision |
|
value: 52.716503267973856 |
|
- type: manhattan_recall |
|
value: 68.10026385224275 |
|
- type: max_accuracy |
|
value: 82.62502235202956 |
|
- type: max_ap |
|
value: 62.51708062651598 |
|
- type: max_f1 |
|
value: 59.5539204414808 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 86.74079248651377 |
|
- type: cos_sim_ap |
|
value: 81.11128912769627 |
|
- type: cos_sim_f1 |
|
value: 73.39903296054331 |
|
- type: cos_sim_precision |
|
value: 70.49273307337823 |
|
- type: cos_sim_recall |
|
value: 76.55528179858331 |
|
- type: dot_accuracy |
|
value: 86.71362595567975 |
|
- type: dot_ap |
|
value: 81.07587927324371 |
|
- type: dot_f1 |
|
value: 73.36112443280334 |
|
- type: dot_precision |
|
value: 70.42283447836249 |
|
- type: dot_recall |
|
value: 76.55528179858331 |
|
- type: euclidean_accuracy |
|
value: 86.73109015407304 |
|
- type: euclidean_ap |
|
value: 81.11249921439843 |
|
- type: euclidean_f1 |
|
value: 73.39903296054331 |
|
- type: euclidean_precision |
|
value: 70.49273307337823 |
|
- type: euclidean_recall |
|
value: 76.55528179858331 |
|
- type: manhattan_accuracy |
|
value: 86.7252687546086 |
|
- type: manhattan_ap |
|
value: 81.05990290681223 |
|
- type: manhattan_f1 |
|
value: 73.29173525245952 |
|
- type: manhattan_precision |
|
value: 72.88161400837457 |
|
- type: manhattan_recall |
|
value: 73.70649830612874 |
|
- type: max_accuracy |
|
value: 86.74079248651377 |
|
- type: max_ap |
|
value: 81.11249921439843 |
|
- type: max_f1 |
|
value: 73.39903296054331 |
|
--- |
