|
--- |
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tags: |
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- mteb |
|
model-index: |
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- name: mlm |
|
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: 82.97014925373135 |
|
- type: ap |
|
value: 49.6288385893607 |
|
- type: f1 |
|
value: 77.58957447993662 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 90.975425 |
|
- type: ap |
|
value: 87.57349835900825 |
|
- type: f1 |
|
value: 90.96732416386632 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 48.708 |
|
- type: f1 |
|
value: 47.736228936979586 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: arguana |
|
name: MTEB ArguAna |
|
config: default |
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split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 32.006 |
|
- type: map_at_10 |
|
value: 49.268 |
|
- type: map_at_100 |
|
value: 49.903999999999996 |
|
- type: map_at_1000 |
|
value: 49.909 |
|
- type: map_at_3 |
|
value: 44.334 |
|
- type: map_at_5 |
|
value: 47.374 |
|
- type: mrr_at_1 |
|
value: 32.788000000000004 |
|
- type: mrr_at_10 |
|
value: 49.707 |
|
- type: mrr_at_100 |
|
value: 50.346999999999994 |
|
- type: mrr_at_1000 |
|
value: 50.352 |
|
- type: mrr_at_3 |
|
value: 44.95 |
|
- type: mrr_at_5 |
|
value: 47.766999999999996 |
|
- type: ndcg_at_1 |
|
value: 32.006 |
|
- type: ndcg_at_10 |
|
value: 58.523 |
|
- type: ndcg_at_100 |
|
value: 61.095 |
|
- type: ndcg_at_1000 |
|
value: 61.190999999999995 |
|
- type: ndcg_at_3 |
|
value: 48.431000000000004 |
|
- type: ndcg_at_5 |
|
value: 53.94 |
|
- type: precision_at_1 |
|
value: 32.006 |
|
- type: precision_at_10 |
|
value: 8.791 |
|
- type: precision_at_100 |
|
value: 0.989 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: precision_at_3 |
|
value: 20.104 |
|
- type: precision_at_5 |
|
value: 14.751 |
|
- type: recall_at_1 |
|
value: 32.006 |
|
- type: recall_at_10 |
|
value: 87.909 |
|
- type: recall_at_100 |
|
value: 98.86200000000001 |
|
- type: recall_at_1000 |
|
value: 99.57300000000001 |
|
- type: recall_at_3 |
|
value: 60.313 |
|
- type: recall_at_5 |
|
value: 73.75500000000001 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-p2p |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 47.01500173547629 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 43.52209238193538 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/askubuntudupquestions-reranking |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 64.1348784470504 |
|
- type: mrr |
|
value: 76.93762916062083 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/biosses-sts |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 87.8322696692348 |
|
- type: cos_sim_spearman |
|
value: 86.53751398463592 |
|
- type: euclidean_pearson |
|
value: 86.1435544054336 |
|
- type: euclidean_spearman |
|
value: 86.70799979698164 |
|
- type: manhattan_pearson |
|
value: 86.1206703865016 |
|
- type: manhattan_spearman |
|
value: 86.47004256773585 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 88.1461038961039 |
|
- type: f1 |
|
value: 88.09877611214092 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 35.53021718892608 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 35.34236915611622 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 36.435 |
|
- type: map_at_10 |
|
value: 49.437999999999995 |
|
- type: map_at_100 |
|
value: 51.105999999999995 |
|
- type: map_at_1000 |
|
value: 51.217999999999996 |
|
- type: map_at_3 |
|
value: 44.856 |
|
- type: map_at_5 |
|
value: 47.195 |
|
- type: mrr_at_1 |
|
value: 45.78 |
|
- type: mrr_at_10 |
|
value: 56.302 |
|
- type: mrr_at_100 |
|
value: 56.974000000000004 |
|
- type: mrr_at_1000 |
|
value: 57.001999999999995 |
|
- type: mrr_at_3 |
|
value: 53.6 |
|
- type: mrr_at_5 |
|
value: 55.059999999999995 |
|
- type: ndcg_at_1 |
|
value: 44.921 |
|
- type: ndcg_at_10 |
|
value: 56.842000000000006 |
|
- type: ndcg_at_100 |
|
value: 61.586 |
|
- type: ndcg_at_1000 |
|
value: 63.039 |
|
- type: ndcg_at_3 |
|
value: 50.612 |
|
- type: ndcg_at_5 |
|
value: 53.181 |
|
- type: precision_at_1 |
|
value: 44.921 |
|
- type: precision_at_10 |
|
value: 11.245 |
|
- type: precision_at_100 |
|
value: 1.7069999999999999 |
|
- type: precision_at_1000 |
|
value: 0.216 |
|
- type: precision_at_3 |
|
value: 24.224999999999998 |
|
- type: precision_at_5 |
|
value: 17.511 |
|
- type: recall_at_1 |
|
value: 36.435 |
|
- type: recall_at_10 |
|
value: 70.998 |
|
- type: recall_at_100 |
|
value: 89.64 |
|
- type: recall_at_1000 |
|
value: 98.654 |
|
- type: recall_at_3 |
|
value: 53.034000000000006 |
|
- type: recall_at_5 |
|
value: 60.41 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 33.371 |
|
- type: map_at_10 |
|
value: 45.301 |
|
- type: map_at_100 |
|
value: 46.663 |
|
- type: map_at_1000 |
|
value: 46.791 |
|
- type: map_at_3 |
|
value: 41.79 |
|
- type: map_at_5 |
|
value: 43.836999999999996 |
|
- type: mrr_at_1 |
|
value: 42.611 |
|
- type: mrr_at_10 |
|
value: 51.70400000000001 |
|
- type: mrr_at_100 |
|
value: 52.342 |
|
- type: mrr_at_1000 |
|
value: 52.38 |
|
- type: mrr_at_3 |
|
value: 49.374 |
|
- type: mrr_at_5 |
|
value: 50.82 |
|
- type: ndcg_at_1 |
|
value: 42.166 |
|
- type: ndcg_at_10 |
|
value: 51.49 |
|
- type: ndcg_at_100 |
|
value: 56.005 |
|
- type: ndcg_at_1000 |
|
value: 57.748 |
|
- type: ndcg_at_3 |
|
value: 46.769 |
|
- type: ndcg_at_5 |
|
value: 49.155 |
|
- type: precision_at_1 |
|
value: 42.166 |
|
- type: precision_at_10 |
|
value: 9.841 |
|
- type: precision_at_100 |
|
value: 1.569 |
|
- type: precision_at_1000 |
|
value: 0.202 |
|
- type: precision_at_3 |
|
value: 22.803 |
|
- type: precision_at_5 |
|
value: 16.229 |
|
- type: recall_at_1 |
|
value: 33.371 |
|
- type: recall_at_10 |
|
value: 62.52799999999999 |
|
- type: recall_at_100 |
|
value: 81.269 |
|
- type: recall_at_1000 |
|
value: 91.824 |
|
- type: recall_at_3 |
|
value: 48.759 |
|
- type: recall_at_5 |
|
value: 55.519 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 41.421 |
|
- type: map_at_10 |
|
value: 55.985 |
|
- type: map_at_100 |
|
value: 56.989999999999995 |
|
- type: map_at_1000 |
|
value: 57.028 |
|
- type: map_at_3 |
|
value: 52.271 |
|
- type: map_at_5 |
|
value: 54.517 |
|
- type: mrr_at_1 |
|
value: 47.272999999999996 |
|
- type: mrr_at_10 |
|
value: 59.266 |
|
- type: mrr_at_100 |
|
value: 59.821999999999996 |
|
- type: mrr_at_1000 |
|
value: 59.839 |
|
- type: mrr_at_3 |
|
value: 56.677 |
|
- type: mrr_at_5 |
|
value: 58.309999999999995 |
|
- type: ndcg_at_1 |
|
value: 47.147 |
|
- type: ndcg_at_10 |
|
value: 62.596 |
|
- type: ndcg_at_100 |
|
value: 66.219 |
|
- type: ndcg_at_1000 |
|
value: 66.886 |
|
- type: ndcg_at_3 |
|
value: 56.558 |
|
- type: ndcg_at_5 |
|
value: 59.805 |
|
- type: precision_at_1 |
|
value: 47.147 |
|
- type: precision_at_10 |
|
value: 10.245 |
|
- type: precision_at_100 |
|
value: 1.302 |
|
- type: precision_at_1000 |
|
value: 0.13899999999999998 |
|
- type: precision_at_3 |
|
value: 25.663999999999998 |
|
- type: precision_at_5 |
|
value: 17.793 |
|
- type: recall_at_1 |
|
value: 41.421 |
|
- type: recall_at_10 |
|
value: 78.77499999999999 |
|
- type: recall_at_100 |
|
value: 93.996 |
|
- type: recall_at_1000 |
|
value: 98.60600000000001 |
|
- type: recall_at_3 |
|
value: 62.891 |
|
- type: recall_at_5 |
|
value: 70.819 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 27.517999999999997 |
|
- type: map_at_10 |
|
value: 37.468 |
|
- type: map_at_100 |
|
value: 38.667 |
|
- type: map_at_1000 |
|
value: 38.743 |
|
- type: map_at_3 |
|
value: 34.524 |
|
- type: map_at_5 |
|
value: 36.175000000000004 |
|
- type: mrr_at_1 |
|
value: 29.378999999999998 |
|
- type: mrr_at_10 |
|
value: 39.54 |
|
- type: mrr_at_100 |
|
value: 40.469 |
|
- type: mrr_at_1000 |
|
value: 40.522000000000006 |
|
- type: mrr_at_3 |
|
value: 36.685 |
|
- type: mrr_at_5 |
|
value: 38.324000000000005 |
|
- type: ndcg_at_1 |
|
value: 29.718 |
|
- type: ndcg_at_10 |
|
value: 43.091 |
|
- type: ndcg_at_100 |
|
value: 48.44 |
|
- type: ndcg_at_1000 |
|
value: 50.181 |
|
- type: ndcg_at_3 |
|
value: 37.34 |
|
- type: ndcg_at_5 |
|
value: 40.177 |
|
- type: precision_at_1 |
|
value: 29.718 |
|
- type: precision_at_10 |
|
value: 6.723 |
|
- type: precision_at_100 |
|
value: 0.992 |
|
- type: precision_at_1000 |
|
value: 0.117 |
|
- type: precision_at_3 |
|
value: 16.083 |
|
- type: precision_at_5 |
|
value: 11.322000000000001 |
|
- type: recall_at_1 |
|
value: 27.517999999999997 |
|
- type: recall_at_10 |
|
value: 58.196999999999996 |
|
- type: recall_at_100 |
|
value: 82.07799999999999 |
|
- type: recall_at_1000 |
|
value: 94.935 |
|
- type: recall_at_3 |
|
value: 42.842 |
|
- type: recall_at_5 |
|
value: 49.58 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.621 |
|
- type: map_at_10 |
|
value: 30.175 |
|
- type: map_at_100 |
|
value: 31.496000000000002 |
|
- type: map_at_1000 |
|
value: 31.602000000000004 |
|
- type: map_at_3 |
|
value: 26.753 |
|
- type: map_at_5 |
|
value: 28.857 |
|
- type: mrr_at_1 |
|
value: 25.497999999999998 |
|
- type: mrr_at_10 |
|
value: 35.44 |
|
- type: mrr_at_100 |
|
value: 36.353 |
|
- type: mrr_at_1000 |
|
value: 36.412 |
|
- type: mrr_at_3 |
|
value: 32.275999999999996 |
|
- type: mrr_at_5 |
|
value: 34.434 |
|
- type: ndcg_at_1 |
|
value: 24.502 |
|
- type: ndcg_at_10 |
|
value: 36.423 |
|
- type: ndcg_at_100 |
|
value: 42.289 |
|
- type: ndcg_at_1000 |
|
value: 44.59 |
|
- type: ndcg_at_3 |
|
value: 30.477999999999998 |
|
- type: ndcg_at_5 |
|
value: 33.787 |
|
- type: precision_at_1 |
|
value: 24.502 |
|
- type: precision_at_10 |
|
value: 6.978 |
|
- type: precision_at_100 |
|
value: 1.139 |
|
- type: precision_at_1000 |
|
value: 0.145 |
|
- type: precision_at_3 |
|
value: 15.008 |
|
- type: precision_at_5 |
|
value: 11.468 |
|
- type: recall_at_1 |
|
value: 19.621 |
|
- type: recall_at_10 |
|
value: 50.516000000000005 |
|
- type: recall_at_100 |
|
value: 75.721 |
|
- type: recall_at_1000 |
|
value: 91.77199999999999 |
|
- type: recall_at_3 |
|
value: 34.695 |
|
- type: recall_at_5 |
|
value: 42.849 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 33.525 |
|
- type: map_at_10 |
|
value: 46.153 |
|
- type: map_at_100 |
|
value: 47.61 |
|
- type: map_at_1000 |
|
value: 47.715 |
|
- type: map_at_3 |
|
value: 42.397 |
|
- type: map_at_5 |
|
value: 44.487 |
|
- type: mrr_at_1 |
|
value: 42.445 |
|
- type: mrr_at_10 |
|
value: 52.174 |
|
- type: mrr_at_100 |
|
value: 52.986999999999995 |
|
- type: mrr_at_1000 |
|
value: 53.016 |
|
- type: mrr_at_3 |
|
value: 49.647000000000006 |
|
- type: mrr_at_5 |
|
value: 51.215999999999994 |
|
- type: ndcg_at_1 |
|
value: 42.156 |
|
- type: ndcg_at_10 |
|
value: 52.698 |
|
- type: ndcg_at_100 |
|
value: 58.167 |
|
- type: ndcg_at_1000 |
|
value: 59.71300000000001 |
|
- type: ndcg_at_3 |
|
value: 47.191 |
|
- type: ndcg_at_5 |
|
value: 49.745 |
|
- type: precision_at_1 |
|
value: 42.156 |
|
- type: precision_at_10 |
|
value: 9.682 |
|
- type: precision_at_100 |
|
value: 1.469 |
|
- type: precision_at_1000 |
|
value: 0.17700000000000002 |
|
- type: precision_at_3 |
|
value: 22.682 |
|
- type: precision_at_5 |
|
value: 16.035 |
|
- type: recall_at_1 |
|
value: 33.525 |
|
- type: recall_at_10 |
|
value: 66.142 |
|
- type: recall_at_100 |
|
value: 88.248 |
|
- type: recall_at_1000 |
|
value: 97.806 |
|
- type: recall_at_3 |
|
value: 50.541000000000004 |
|
- type: recall_at_5 |
|
value: 57.275 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 28.249000000000002 |
|
- type: map_at_10 |
|
value: 41.659 |
|
- type: map_at_100 |
|
value: 43.001 |
|
- type: map_at_1000 |
|
value: 43.094 |
|
- type: map_at_3 |
|
value: 37.607 |
|
- type: map_at_5 |
|
value: 39.662 |
|
- type: mrr_at_1 |
|
value: 36.301 |
|
- type: mrr_at_10 |
|
value: 47.482 |
|
- type: mrr_at_100 |
|
value: 48.251 |
|
- type: mrr_at_1000 |
|
value: 48.288 |
|
- type: mrr_at_3 |
|
value: 44.444 |
|
- type: mrr_at_5 |
|
value: 46.013999999999996 |
|
- type: ndcg_at_1 |
|
value: 35.616 |
|
- type: ndcg_at_10 |
|
value: 49.021 |
|
- type: ndcg_at_100 |
|
value: 54.362 |
|
- type: ndcg_at_1000 |
|
value: 55.864999999999995 |
|
- type: ndcg_at_3 |
|
value: 42.515 |
|
- type: ndcg_at_5 |
|
value: 45.053 |
|
- type: precision_at_1 |
|
value: 35.616 |
|
- type: precision_at_10 |
|
value: 9.372 |
|
- type: precision_at_100 |
|
value: 1.4120000000000001 |
|
- type: precision_at_1000 |
|
value: 0.172 |
|
- type: precision_at_3 |
|
value: 21.043 |
|
- type: precision_at_5 |
|
value: 14.84 |
|
- type: recall_at_1 |
|
value: 28.249000000000002 |
|
- type: recall_at_10 |
|
value: 65.514 |
|
- type: recall_at_100 |
|
value: 87.613 |
|
- type: recall_at_1000 |
|
value: 97.03 |
|
- type: recall_at_3 |
|
value: 47.21 |
|
- type: recall_at_5 |
|
value: 54.077 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.164583333333333 |
|
- type: map_at_10 |
|
value: 40.632000000000005 |
|
- type: map_at_100 |
|
value: 41.96875 |
|
- type: map_at_1000 |
|
value: 42.07508333333333 |
|
- type: map_at_3 |
|
value: 37.18458333333333 |
|
- type: map_at_5 |
|
value: 39.13700000000001 |
|
- type: mrr_at_1 |
|
value: 35.2035 |
|
- type: mrr_at_10 |
|
value: 45.28816666666666 |
|
- type: mrr_at_100 |
|
value: 46.11466666666667 |
|
- type: mrr_at_1000 |
|
value: 46.15741666666667 |
|
- type: mrr_at_3 |
|
value: 42.62925 |
|
- type: mrr_at_5 |
|
value: 44.18141666666667 |
|
- type: ndcg_at_1 |
|
value: 34.88958333333333 |
|
- type: ndcg_at_10 |
|
value: 46.90650000000001 |
|
- type: ndcg_at_100 |
|
value: 52.135333333333335 |
|
- type: ndcg_at_1000 |
|
value: 53.89766666666668 |
|
- type: ndcg_at_3 |
|
value: 41.32075 |
|
- type: ndcg_at_5 |
|
value: 44.02083333333333 |
|
- type: precision_at_1 |
|
value: 34.88958333333333 |
|
- type: precision_at_10 |
|
value: 8.392833333333332 |
|
- type: precision_at_100 |
|
value: 1.3085833333333334 |
|
- type: precision_at_1000 |
|
value: 0.16458333333333333 |
|
- type: precision_at_3 |
|
value: 19.361166666666666 |
|
- type: precision_at_5 |
|
value: 13.808416666666668 |
|
- type: recall_at_1 |
|
value: 29.164583333333333 |
|
- type: recall_at_10 |
|
value: 60.874666666666656 |
|
- type: recall_at_100 |
|
value: 83.21008333333334 |
|
- type: recall_at_1000 |
|
value: 95.09275000000001 |
|
- type: recall_at_3 |
|
value: 45.37591666666667 |
|
- type: recall_at_5 |
|
value: 52.367666666666665 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 28.682000000000002 |
|
- type: map_at_10 |
|
value: 37.913000000000004 |
|
- type: map_at_100 |
|
value: 39.037 |
|
- type: map_at_1000 |
|
value: 39.123999999999995 |
|
- type: map_at_3 |
|
value: 35.398 |
|
- type: map_at_5 |
|
value: 36.906 |
|
- type: mrr_at_1 |
|
value: 32.362 |
|
- type: mrr_at_10 |
|
value: 40.92 |
|
- type: mrr_at_100 |
|
value: 41.748000000000005 |
|
- type: mrr_at_1000 |
|
value: 41.81 |
|
- type: mrr_at_3 |
|
value: 38.701 |
|
- type: mrr_at_5 |
|
value: 39.936 |
|
- type: ndcg_at_1 |
|
value: 32.208999999999996 |
|
- type: ndcg_at_10 |
|
value: 42.84 |
|
- type: ndcg_at_100 |
|
value: 47.927 |
|
- type: ndcg_at_1000 |
|
value: 50.048 |
|
- type: ndcg_at_3 |
|
value: 38.376 |
|
- type: ndcg_at_5 |
|
value: 40.661 |
|
- type: precision_at_1 |
|
value: 32.208999999999996 |
|
- type: precision_at_10 |
|
value: 6.718 |
|
- type: precision_at_100 |
|
value: 1.012 |
|
- type: precision_at_1000 |
|
value: 0.127 |
|
- type: precision_at_3 |
|
value: 16.667 |
|
- type: precision_at_5 |
|
value: 11.503 |
|
- type: recall_at_1 |
|
value: 28.682000000000002 |
|
- type: recall_at_10 |
|
value: 54.872 |
|
- type: recall_at_100 |
|
value: 77.42999999999999 |
|
- type: recall_at_1000 |
|
value: 93.054 |
|
- type: recall_at_3 |
|
value: 42.577999999999996 |
|
- type: recall_at_5 |
|
value: 48.363 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.698 |
|
- type: map_at_10 |
|
value: 28.777 |
|
- type: map_at_100 |
|
value: 30.091 |
|
- type: map_at_1000 |
|
value: 30.209999999999997 |
|
- type: map_at_3 |
|
value: 25.874000000000002 |
|
- type: map_at_5 |
|
value: 27.438000000000002 |
|
- type: mrr_at_1 |
|
value: 24.295 |
|
- type: mrr_at_10 |
|
value: 33.077 |
|
- type: mrr_at_100 |
|
value: 34.036 |
|
- type: mrr_at_1000 |
|
value: 34.1 |
|
- type: mrr_at_3 |
|
value: 30.523 |
|
- type: mrr_at_5 |
|
value: 31.891000000000002 |
|
- type: ndcg_at_1 |
|
value: 24.535 |
|
- type: ndcg_at_10 |
|
value: 34.393 |
|
- type: ndcg_at_100 |
|
value: 40.213 |
|
- type: ndcg_at_1000 |
|
value: 42.748000000000005 |
|
- type: ndcg_at_3 |
|
value: 29.316 |
|
- type: ndcg_at_5 |
|
value: 31.588 |
|
- type: precision_at_1 |
|
value: 24.535 |
|
- type: precision_at_10 |
|
value: 6.483 |
|
- type: precision_at_100 |
|
value: 1.102 |
|
- type: precision_at_1000 |
|
value: 0.151 |
|
- type: precision_at_3 |
|
value: 14.201 |
|
- type: precision_at_5 |
|
value: 10.344000000000001 |
|
- type: recall_at_1 |
|
value: 19.698 |
|
- type: recall_at_10 |
|
value: 46.903 |
|
- type: recall_at_100 |
|
value: 72.624 |
|
- type: recall_at_1000 |
|
value: 90.339 |
|
- type: recall_at_3 |
|
value: 32.482 |
|
- type: recall_at_5 |
|
value: 38.452 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 30.56 |
|
- type: map_at_10 |
|
value: 41.993 |
|
- type: map_at_100 |
|
value: 43.317 |
|
- type: map_at_1000 |
|
value: 43.399 |
|
- type: map_at_3 |
|
value: 38.415 |
|
- type: map_at_5 |
|
value: 40.472 |
|
- type: mrr_at_1 |
|
value: 36.474000000000004 |
|
- type: mrr_at_10 |
|
value: 46.562 |
|
- type: mrr_at_100 |
|
value: 47.497 |
|
- type: mrr_at_1000 |
|
value: 47.532999999999994 |
|
- type: mrr_at_3 |
|
value: 43.905 |
|
- type: mrr_at_5 |
|
value: 45.379000000000005 |
|
- type: ndcg_at_1 |
|
value: 36.287000000000006 |
|
- type: ndcg_at_10 |
|
value: 48.262 |
|
- type: ndcg_at_100 |
|
value: 53.789 |
|
- type: ndcg_at_1000 |
|
value: 55.44 |
|
- type: ndcg_at_3 |
|
value: 42.358000000000004 |
|
- type: ndcg_at_5 |
|
value: 45.221000000000004 |
|
- type: precision_at_1 |
|
value: 36.287000000000006 |
|
- type: precision_at_10 |
|
value: 8.265 |
|
- type: precision_at_100 |
|
value: 1.24 |
|
- type: precision_at_1000 |
|
value: 0.148 |
|
- type: precision_at_3 |
|
value: 19.558 |
|
- type: precision_at_5 |
|
value: 13.880999999999998 |
|
- type: recall_at_1 |
|
value: 30.56 |
|
- type: recall_at_10 |
|
value: 62.891 |
|
- type: recall_at_100 |
|
value: 85.964 |
|
- type: recall_at_1000 |
|
value: 97.087 |
|
- type: recall_at_3 |
|
value: 46.755 |
|
- type: recall_at_5 |
|
value: 53.986000000000004 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.432000000000002 |
|
- type: map_at_10 |
|
value: 40.898 |
|
- type: map_at_100 |
|
value: 42.794 |
|
- type: map_at_1000 |
|
value: 43.029 |
|
- type: map_at_3 |
|
value: 37.658 |
|
- type: map_at_5 |
|
value: 39.519 |
|
- type: mrr_at_1 |
|
value: 36.364000000000004 |
|
- type: mrr_at_10 |
|
value: 46.9 |
|
- type: mrr_at_100 |
|
value: 47.819 |
|
- type: mrr_at_1000 |
|
value: 47.848 |
|
- type: mrr_at_3 |
|
value: 44.202999999999996 |
|
- type: mrr_at_5 |
|
value: 45.715 |
|
- type: ndcg_at_1 |
|
value: 35.573 |
|
- type: ndcg_at_10 |
|
value: 47.628 |
|
- type: ndcg_at_100 |
|
value: 53.88699999999999 |
|
- type: ndcg_at_1000 |
|
value: 55.584 |
|
- type: ndcg_at_3 |
|
value: 42.669000000000004 |
|
- type: ndcg_at_5 |
|
value: 45.036 |
|
- type: precision_at_1 |
|
value: 35.573 |
|
- type: precision_at_10 |
|
value: 8.933 |
|
- type: precision_at_100 |
|
value: 1.8159999999999998 |
|
- type: precision_at_1000 |
|
value: 0.256 |
|
- type: precision_at_3 |
|
value: 20.29 |
|
- type: precision_at_5 |
|
value: 14.387 |
|
- type: recall_at_1 |
|
value: 29.432000000000002 |
|
- type: recall_at_10 |
|
value: 60.388 |
|
- type: recall_at_100 |
|
value: 87.144 |
|
- type: recall_at_1000 |
|
value: 97.154 |
|
- type: recall_at_3 |
|
value: 45.675 |
|
- type: recall_at_5 |
|
value: 52.35300000000001 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: BeIR/cqadupstack |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.462999999999997 |
|
- type: map_at_10 |
|
value: 31.824 |
|
- type: map_at_100 |
|
value: 32.853 |
|
- type: map_at_1000 |
|
value: 32.948 |
|
- type: map_at_3 |
|
value: 28.671999999999997 |
|
- type: map_at_5 |
|
value: 30.579 |
|
- type: mrr_at_1 |
|
value: 23.66 |
|
- type: mrr_at_10 |
|
value: 34.091 |
|
- type: mrr_at_100 |
|
value: 35.077999999999996 |
|
- type: mrr_at_1000 |
|
value: 35.138999999999996 |
|
- type: mrr_at_3 |
|
value: 31.516 |
|
- type: mrr_at_5 |
|
value: 33.078 |
|
- type: ndcg_at_1 |
|
value: 23.845 |
|
- type: ndcg_at_10 |
|
value: 37.594 |
|
- type: ndcg_at_100 |
|
value: 42.74 |
|
- type: ndcg_at_1000 |
|
value: 44.93 |
|
- type: ndcg_at_3 |
|
value: 31.667 |
|
- type: ndcg_at_5 |
|
value: 34.841 |
|
- type: precision_at_1 |
|
value: 23.845 |
|
- type: precision_at_10 |
|
value: 6.229 |
|
- type: precision_at_100 |
|
value: 0.943 |
|
- type: precision_at_1000 |
|
value: 0.125 |
|
- type: precision_at_3 |
|
value: 14.11 |
|
- type: precision_at_5 |
|
value: 10.388 |
|
- type: recall_at_1 |
|
value: 21.462999999999997 |
|
- type: recall_at_10 |
|
value: 52.772 |
|
- type: recall_at_100 |
|
value: 76.794 |
|
- type: recall_at_1000 |
|
value: 92.852 |
|
- type: recall_at_3 |
|
value: 37.049 |
|
- type: recall_at_5 |
|
value: 44.729 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: climate-fever |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 15.466 |
|
- type: map_at_10 |
|
value: 25.275 |
|
- type: map_at_100 |
|
value: 27.176000000000002 |
|
- type: map_at_1000 |
|
value: 27.374 |
|
- type: map_at_3 |
|
value: 21.438 |
|
- type: map_at_5 |
|
value: 23.366 |
|
- type: mrr_at_1 |
|
value: 35.699999999999996 |
|
- type: mrr_at_10 |
|
value: 47.238 |
|
- type: mrr_at_100 |
|
value: 47.99 |
|
- type: mrr_at_1000 |
|
value: 48.021 |
|
- type: mrr_at_3 |
|
value: 44.463 |
|
- type: mrr_at_5 |
|
value: 46.039 |
|
- type: ndcg_at_1 |
|
value: 35.244 |
|
- type: ndcg_at_10 |
|
value: 34.559 |
|
- type: ndcg_at_100 |
|
value: 41.74 |
|
- type: ndcg_at_1000 |
|
value: 45.105000000000004 |
|
- type: ndcg_at_3 |
|
value: 29.284 |
|
- type: ndcg_at_5 |
|
value: 30.903999999999996 |
|
- type: precision_at_1 |
|
value: 35.244 |
|
- type: precision_at_10 |
|
value: 10.463000000000001 |
|
- type: precision_at_100 |
|
value: 1.8259999999999998 |
|
- type: precision_at_1000 |
|
value: 0.246 |
|
- type: precision_at_3 |
|
value: 21.65 |
|
- type: precision_at_5 |
|
value: 16.078 |
|
- type: recall_at_1 |
|
value: 15.466 |
|
- type: recall_at_10 |
|
value: 39.782000000000004 |
|
- type: recall_at_100 |
|
value: 64.622 |
|
- type: recall_at_1000 |
|
value: 83.233 |
|
- type: recall_at_3 |
|
value: 26.398 |
|
- type: recall_at_5 |
|
value: 31.676 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: dbpedia-entity |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.414 |
|
- type: map_at_10 |
|
value: 22.435 |
|
- type: map_at_100 |
|
value: 32.393 |
|
- type: map_at_1000 |
|
value: 34.454 |
|
- type: map_at_3 |
|
value: 15.346000000000002 |
|
- type: map_at_5 |
|
value: 18.282999999999998 |
|
- type: mrr_at_1 |
|
value: 71.5 |
|
- type: mrr_at_10 |
|
value: 78.795 |
|
- type: mrr_at_100 |
|
value: 79.046 |
|
- type: mrr_at_1000 |
|
value: 79.054 |
|
- type: mrr_at_3 |
|
value: 77.333 |
|
- type: mrr_at_5 |
|
value: 78.146 |
|
- type: ndcg_at_1 |
|
value: 60.75000000000001 |
|
- type: ndcg_at_10 |
|
value: 46.829 |
|
- type: ndcg_at_100 |
|
value: 52.370000000000005 |
|
- type: ndcg_at_1000 |
|
value: 59.943999999999996 |
|
- type: ndcg_at_3 |
|
value: 51.33 |
|
- type: ndcg_at_5 |
|
value: 48.814 |
|
- type: precision_at_1 |
|
value: 71.75 |
|
- type: precision_at_10 |
|
value: 37.525 |
|
- type: precision_at_100 |
|
value: 12.075 |
|
- type: precision_at_1000 |
|
value: 2.464 |
|
- type: precision_at_3 |
|
value: 54.75 |
|
- type: precision_at_5 |
|
value: 47.55 |
|
- type: recall_at_1 |
|
value: 9.414 |
|
- type: recall_at_10 |
|
value: 28.67 |
|
- type: recall_at_100 |
|
value: 59.924 |
|
- type: recall_at_1000 |
|
value: 83.921 |
|
- type: recall_at_3 |
|
value: 16.985 |
|
- type: recall_at_5 |
|
value: 21.372 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 52.18000000000001 |
|
- type: f1 |
|
value: 47.04613218997081 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fever |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 82.57900000000001 |
|
- type: map_at_10 |
|
value: 88.465 |
|
- type: map_at_100 |
|
value: 88.649 |
|
- type: map_at_1000 |
|
value: 88.661 |
|
- type: map_at_3 |
|
value: 87.709 |
|
- type: map_at_5 |
|
value: 88.191 |
|
- type: mrr_at_1 |
|
value: 88.899 |
|
- type: mrr_at_10 |
|
value: 93.35900000000001 |
|
- type: mrr_at_100 |
|
value: 93.38499999999999 |
|
- type: mrr_at_1000 |
|
value: 93.38499999999999 |
|
- type: mrr_at_3 |
|
value: 93.012 |
|
- type: mrr_at_5 |
|
value: 93.282 |
|
- type: ndcg_at_1 |
|
value: 88.98899999999999 |
|
- type: ndcg_at_10 |
|
value: 91.22 |
|
- type: ndcg_at_100 |
|
value: 91.806 |
|
- type: ndcg_at_1000 |
|
value: 92.013 |
|
- type: ndcg_at_3 |
|
value: 90.236 |
|
- type: ndcg_at_5 |
|
value: 90.798 |
|
- type: precision_at_1 |
|
value: 88.98899999999999 |
|
- type: precision_at_10 |
|
value: 10.537 |
|
- type: precision_at_100 |
|
value: 1.106 |
|
- type: precision_at_1000 |
|
value: 0.11399999999999999 |
|
- type: precision_at_3 |
|
value: 33.598 |
|
- type: precision_at_5 |
|
value: 20.618 |
|
- type: recall_at_1 |
|
value: 82.57900000000001 |
|
- type: recall_at_10 |
|
value: 94.95400000000001 |
|
- type: recall_at_100 |
|
value: 97.14 |
|
- type: recall_at_1000 |
|
value: 98.407 |
|
- type: recall_at_3 |
|
value: 92.203 |
|
- type: recall_at_5 |
|
value: 93.747 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: fiqa |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 27.871000000000002 |
|
- type: map_at_10 |
|
value: 46.131 |
|
- type: map_at_100 |
|
value: 48.245 |
|
- type: map_at_1000 |
|
value: 48.361 |
|
- type: map_at_3 |
|
value: 40.03 |
|
- type: map_at_5 |
|
value: 43.634 |
|
- type: mrr_at_1 |
|
value: 52.932 |
|
- type: mrr_at_10 |
|
value: 61.61299999999999 |
|
- type: mrr_at_100 |
|
value: 62.205 |
|
- type: mrr_at_1000 |
|
value: 62.224999999999994 |
|
- type: mrr_at_3 |
|
value: 59.388 |
|
- type: mrr_at_5 |
|
value: 60.760999999999996 |
|
- type: ndcg_at_1 |
|
value: 53.395 |
|
- type: ndcg_at_10 |
|
value: 54.506 |
|
- type: ndcg_at_100 |
|
value: 61.151999999999994 |
|
- type: ndcg_at_1000 |
|
value: 62.882000000000005 |
|
- type: ndcg_at_3 |
|
value: 49.903999999999996 |
|
- type: ndcg_at_5 |
|
value: 51.599 |
|
- type: precision_at_1 |
|
value: 53.395 |
|
- type: precision_at_10 |
|
value: 15.247 |
|
- type: precision_at_100 |
|
value: 2.221 |
|
- type: precision_at_1000 |
|
value: 0.255 |
|
- type: precision_at_3 |
|
value: 33.539 |
|
- type: precision_at_5 |
|
value: 24.722 |
|
- type: recall_at_1 |
|
value: 27.871000000000002 |
|
- type: recall_at_10 |
|
value: 62.074 |
|
- type: recall_at_100 |
|
value: 86.531 |
|
- type: recall_at_1000 |
|
value: 96.574 |
|
- type: recall_at_3 |
|
value: 45.003 |
|
- type: recall_at_5 |
|
value: 53.00899999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: hotpotqa |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 40.513 |
|
- type: map_at_10 |
|
value: 69.066 |
|
- type: map_at_100 |
|
value: 69.903 |
|
- type: map_at_1000 |
|
value: 69.949 |
|
- type: map_at_3 |
|
value: 65.44200000000001 |
|
- type: map_at_5 |
|
value: 67.784 |
|
- type: mrr_at_1 |
|
value: 80.891 |
|
- type: mrr_at_10 |
|
value: 86.42699999999999 |
|
- type: mrr_at_100 |
|
value: 86.577 |
|
- type: mrr_at_1000 |
|
value: 86.58200000000001 |
|
- type: mrr_at_3 |
|
value: 85.6 |
|
- type: mrr_at_5 |
|
value: 86.114 |
|
- type: ndcg_at_1 |
|
value: 81.026 |
|
- type: ndcg_at_10 |
|
value: 76.412 |
|
- type: ndcg_at_100 |
|
value: 79.16 |
|
- type: ndcg_at_1000 |
|
value: 79.989 |
|
- type: ndcg_at_3 |
|
value: 71.45 |
|
- type: ndcg_at_5 |
|
value: 74.286 |
|
- type: precision_at_1 |
|
value: 81.026 |
|
- type: precision_at_10 |
|
value: 16.198999999999998 |
|
- type: precision_at_100 |
|
value: 1.831 |
|
- type: precision_at_1000 |
|
value: 0.194 |
|
- type: precision_at_3 |
|
value: 46.721000000000004 |
|
- type: precision_at_5 |
|
value: 30.266 |
|
- type: recall_at_1 |
|
value: 40.513 |
|
- type: recall_at_10 |
|
value: 80.99300000000001 |
|
- type: recall_at_100 |
|
value: 91.526 |
|
- type: recall_at_1000 |
|
value: 96.935 |
|
- type: recall_at_3 |
|
value: 70.081 |
|
- type: recall_at_5 |
|
value: 75.665 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 87.42320000000001 |
|
- type: ap |
|
value: 83.59975323233843 |
|
- type: f1 |
|
value: 87.38669942597816 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: msmarco |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.676 |
|
- type: map_at_10 |
|
value: 35.865 |
|
- type: map_at_100 |
|
value: 37.019000000000005 |
|
- type: map_at_1000 |
|
value: 37.062 |
|
- type: map_at_3 |
|
value: 31.629 |
|
- type: map_at_5 |
|
value: 34.050999999999995 |
|
- type: mrr_at_1 |
|
value: 23.023 |
|
- type: mrr_at_10 |
|
value: 36.138999999999996 |
|
- type: mrr_at_100 |
|
value: 37.242 |
|
- type: mrr_at_1000 |
|
value: 37.28 |
|
- type: mrr_at_3 |
|
value: 32.053 |
|
- type: mrr_at_5 |
|
value: 34.383 |
|
- type: ndcg_at_1 |
|
value: 23.308999999999997 |
|
- type: ndcg_at_10 |
|
value: 43.254 |
|
- type: ndcg_at_100 |
|
value: 48.763 |
|
- type: ndcg_at_1000 |
|
value: 49.788 |
|
- type: ndcg_at_3 |
|
value: 34.688 |
|
- type: ndcg_at_5 |
|
value: 38.973 |
|
- type: precision_at_1 |
|
value: 23.308999999999997 |
|
- type: precision_at_10 |
|
value: 6.909999999999999 |
|
- type: precision_at_100 |
|
value: 0.967 |
|
- type: precision_at_1000 |
|
value: 0.106 |
|
- type: precision_at_3 |
|
value: 14.818999999999999 |
|
- type: precision_at_5 |
|
value: 11.072 |
|
- type: recall_at_1 |
|
value: 22.676 |
|
- type: recall_at_10 |
|
value: 66.077 |
|
- type: recall_at_100 |
|
value: 91.4 |
|
- type: recall_at_1000 |
|
value: 99.143 |
|
- type: recall_at_3 |
|
value: 42.845 |
|
- type: recall_at_5 |
|
value: 53.08500000000001 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 96.16279069767444 |
|
- type: f1 |
|
value: 96.02183835878418 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 85.74783401732788 |
|
- type: f1 |
|
value: 70.59661579230463 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 79.67047747141895 |
|
- type: f1 |
|
value: 77.06311183471965 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 82.82447881640887 |
|
- type: f1 |
|
value: 82.37598020010746 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 30.266131881264467 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 29.673653452453998 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/mind_small |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 32.91846122902102 |
|
- type: mrr |
|
value: 34.2557300204471 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nfcorpus |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.762 |
|
- type: map_at_10 |
|
value: 15.134 |
|
- type: map_at_100 |
|
value: 19.341 |
|
- type: map_at_1000 |
|
value: 20.961 |
|
- type: map_at_3 |
|
value: 10.735999999999999 |
|
- type: map_at_5 |
|
value: 12.751999999999999 |
|
- type: mrr_at_1 |
|
value: 52.941 |
|
- type: mrr_at_10 |
|
value: 60.766 |
|
- type: mrr_at_100 |
|
value: 61.196 |
|
- type: mrr_at_1000 |
|
value: 61.227 |
|
- type: mrr_at_3 |
|
value: 58.720000000000006 |
|
- type: mrr_at_5 |
|
value: 59.866 |
|
- type: ndcg_at_1 |
|
value: 50.929 |
|
- type: ndcg_at_10 |
|
value: 39.554 |
|
- type: ndcg_at_100 |
|
value: 36.307 |
|
- type: ndcg_at_1000 |
|
value: 44.743 |
|
- type: ndcg_at_3 |
|
value: 44.157000000000004 |
|
- type: ndcg_at_5 |
|
value: 42.142 |
|
- type: precision_at_1 |
|
value: 52.322 |
|
- type: precision_at_10 |
|
value: 29.412 |
|
- type: precision_at_100 |
|
value: 9.365 |
|
- type: precision_at_1000 |
|
value: 2.2159999999999997 |
|
- type: precision_at_3 |
|
value: 40.557 |
|
- type: precision_at_5 |
|
value: 35.913000000000004 |
|
- type: recall_at_1 |
|
value: 6.762 |
|
- type: recall_at_10 |
|
value: 19.689999999999998 |
|
- type: recall_at_100 |
|
value: 36.687 |
|
- type: recall_at_1000 |
|
value: 67.23 |
|
- type: recall_at_3 |
|
value: 11.773 |
|
- type: recall_at_5 |
|
value: 15.18 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: nq |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 36.612 |
|
- type: map_at_10 |
|
value: 54.208 |
|
- type: map_at_100 |
|
value: 55.056000000000004 |
|
- type: map_at_1000 |
|
value: 55.069 |
|
- type: map_at_3 |
|
value: 49.45 |
|
- type: map_at_5 |
|
value: 52.556000000000004 |
|
- type: mrr_at_1 |
|
value: 41.976 |
|
- type: mrr_at_10 |
|
value: 56.972 |
|
- type: mrr_at_100 |
|
value: 57.534 |
|
- type: mrr_at_1000 |
|
value: 57.542 |
|
- type: mrr_at_3 |
|
value: 53.312000000000005 |
|
- type: mrr_at_5 |
|
value: 55.672999999999995 |
|
- type: ndcg_at_1 |
|
value: 41.338 |
|
- type: ndcg_at_10 |
|
value: 62.309000000000005 |
|
- type: ndcg_at_100 |
|
value: 65.557 |
|
- type: ndcg_at_1000 |
|
value: 65.809 |
|
- type: ndcg_at_3 |
|
value: 53.74100000000001 |
|
- type: ndcg_at_5 |
|
value: 58.772999999999996 |
|
- type: precision_at_1 |
|
value: 41.338 |
|
- type: precision_at_10 |
|
value: 10.107 |
|
- type: precision_at_100 |
|
value: 1.1900000000000002 |
|
- type: precision_at_1000 |
|
value: 0.121 |
|
- type: precision_at_3 |
|
value: 24.488 |
|
- type: precision_at_5 |
|
value: 17.596 |
|
- type: recall_at_1 |
|
value: 36.612 |
|
- type: recall_at_10 |
|
value: 84.408 |
|
- type: recall_at_100 |
|
value: 97.929 |
|
- type: recall_at_1000 |
|
value: 99.725 |
|
- type: recall_at_3 |
|
value: 62.676 |
|
- type: recall_at_5 |
|
value: 74.24199999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: quora |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 71.573 |
|
- type: map_at_10 |
|
value: 85.81 |
|
- type: map_at_100 |
|
value: 86.434 |
|
- type: map_at_1000 |
|
value: 86.446 |
|
- type: map_at_3 |
|
value: 82.884 |
|
- type: map_at_5 |
|
value: 84.772 |
|
- type: mrr_at_1 |
|
value: 82.53 |
|
- type: mrr_at_10 |
|
value: 88.51299999999999 |
|
- type: mrr_at_100 |
|
value: 88.59700000000001 |
|
- type: mrr_at_1000 |
|
value: 88.598 |
|
- type: mrr_at_3 |
|
value: 87.595 |
|
- type: mrr_at_5 |
|
value: 88.266 |
|
- type: ndcg_at_1 |
|
value: 82.39999999999999 |
|
- type: ndcg_at_10 |
|
value: 89.337 |
|
- type: ndcg_at_100 |
|
value: 90.436 |
|
- type: ndcg_at_1000 |
|
value: 90.498 |
|
- type: ndcg_at_3 |
|
value: 86.676 |
|
- type: ndcg_at_5 |
|
value: 88.241 |
|
- type: precision_at_1 |
|
value: 82.39999999999999 |
|
- type: precision_at_10 |
|
value: 13.58 |
|
- type: precision_at_100 |
|
value: 1.543 |
|
- type: precision_at_1000 |
|
value: 0.157 |
|
- type: precision_at_3 |
|
value: 38.04 |
|
- type: precision_at_5 |
|
value: 25.044 |
|
- type: recall_at_1 |
|
value: 71.573 |
|
- type: recall_at_10 |
|
value: 96.066 |
|
- type: recall_at_100 |
|
value: 99.73100000000001 |
|
- type: recall_at_1000 |
|
value: 99.991 |
|
- type: recall_at_3 |
|
value: 88.34 |
|
- type: recall_at_5 |
|
value: 92.79899999999999 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 61.767168063971724 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 66.00502775826037 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scidocs |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.718 |
|
- type: map_at_10 |
|
value: 12.13 |
|
- type: map_at_100 |
|
value: 14.269000000000002 |
|
- type: map_at_1000 |
|
value: 14.578 |
|
- type: map_at_3 |
|
value: 8.605 |
|
- type: map_at_5 |
|
value: 10.483 |
|
- type: mrr_at_1 |
|
value: 23.7 |
|
- type: mrr_at_10 |
|
value: 34.354 |
|
- type: mrr_at_100 |
|
value: 35.522 |
|
- type: mrr_at_1000 |
|
value: 35.571999999999996 |
|
- type: mrr_at_3 |
|
value: 31.15 |
|
- type: mrr_at_5 |
|
value: 32.98 |
|
- type: ndcg_at_1 |
|
value: 23.3 |
|
- type: ndcg_at_10 |
|
value: 20.171 |
|
- type: ndcg_at_100 |
|
value: 28.456 |
|
- type: ndcg_at_1000 |
|
value: 33.826 |
|
- type: ndcg_at_3 |
|
value: 19.104 |
|
- type: ndcg_at_5 |
|
value: 16.977999999999998 |
|
- type: precision_at_1 |
|
value: 23.3 |
|
- type: precision_at_10 |
|
value: 10.45 |
|
- type: precision_at_100 |
|
value: 2.239 |
|
- type: precision_at_1000 |
|
value: 0.35300000000000004 |
|
- type: precision_at_3 |
|
value: 17.933 |
|
- type: precision_at_5 |
|
value: 15.1 |
|
- type: recall_at_1 |
|
value: 4.718 |
|
- type: recall_at_10 |
|
value: 21.221999999999998 |
|
- type: recall_at_100 |
|
value: 45.42 |
|
- type: recall_at_1000 |
|
value: 71.642 |
|
- type: recall_at_3 |
|
value: 10.922 |
|
- type: recall_at_5 |
|
value: 15.322 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.2065344862739 |
|
- type: cos_sim_spearman |
|
value: 83.2276569587515 |
|
- type: euclidean_pearson |
|
value: 83.42726762105312 |
|
- type: euclidean_spearman |
|
value: 83.31396596997742 |
|
- type: manhattan_pearson |
|
value: 83.41123401762816 |
|
- type: manhattan_spearman |
|
value: 83.34393052682026 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 81.28253173719754 |
|
- type: cos_sim_spearman |
|
value: 76.12995701324436 |
|
- type: euclidean_pearson |
|
value: 75.30693691794121 |
|
- type: euclidean_spearman |
|
value: 75.12472789129536 |
|
- type: manhattan_pearson |
|
value: 75.35860808729171 |
|
- type: manhattan_spearman |
|
value: 75.30445827952794 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 82.09358031005694 |
|
- type: cos_sim_spearman |
|
value: 83.18811147636619 |
|
- type: euclidean_pearson |
|
value: 82.65513459991631 |
|
- type: euclidean_spearman |
|
value: 82.71085530442987 |
|
- type: manhattan_pearson |
|
value: 82.67700926821576 |
|
- type: manhattan_spearman |
|
value: 82.73815539380426 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 81.51365440223137 |
|
- type: cos_sim_spearman |
|
value: 80.59933905019179 |
|
- type: euclidean_pearson |
|
value: 80.56660025433806 |
|
- type: euclidean_spearman |
|
value: 80.27926539084027 |
|
- type: manhattan_pearson |
|
value: 80.64632724055481 |
|
- type: manhattan_spearman |
|
value: 80.43616365139444 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 86.8590461417506 |
|
- type: cos_sim_spearman |
|
value: 87.16337291721602 |
|
- type: euclidean_pearson |
|
value: 85.8847725068404 |
|
- type: euclidean_spearman |
|
value: 86.12602873624066 |
|
- type: manhattan_pearson |
|
value: 86.04095861363909 |
|
- type: manhattan_spearman |
|
value: 86.35535645007629 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.61371557181502 |
|
- type: cos_sim_spearman |
|
value: 85.16330754442785 |
|
- type: euclidean_pearson |
|
value: 84.20831431260608 |
|
- type: euclidean_spearman |
|
value: 84.33191523212125 |
|
- type: manhattan_pearson |
|
value: 84.34911007642411 |
|
- type: manhattan_spearman |
|
value: 84.49670164290394 |
|
- 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: 90.54452933158781 |
|
- type: cos_sim_spearman |
|
value: 90.88214621695892 |
|
- type: euclidean_pearson |
|
value: 91.38488015281216 |
|
- type: euclidean_spearman |
|
value: 91.01822259603908 |
|
- type: manhattan_pearson |
|
value: 91.36449776198687 |
|
- type: manhattan_spearman |
|
value: 90.90478717381717 |
|
- 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: 68.00941643037453 |
|
- type: cos_sim_spearman |
|
value: 67.03588472081898 |
|
- type: euclidean_pearson |
|
value: 67.35224911601603 |
|
- type: euclidean_spearman |
|
value: 66.35544831459266 |
|
- type: manhattan_pearson |
|
value: 67.35080066508304 |
|
- type: manhattan_spearman |
|
value: 66.07893473733782 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.18291011086279 |
|
- type: cos_sim_spearman |
|
value: 85.66913777481429 |
|
- type: euclidean_pearson |
|
value: 84.81115930027242 |
|
- type: euclidean_spearman |
|
value: 85.07133983924173 |
|
- type: manhattan_pearson |
|
value: 84.88932120524983 |
|
- type: manhattan_spearman |
|
value: 85.176903109055 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 83.67543572266588 |
|
- type: mrr |
|
value: 95.9468146232852 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: scifact |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 59.633 |
|
- type: map_at_10 |
|
value: 69.801 |
|
- type: map_at_100 |
|
value: 70.504 |
|
- type: map_at_1000 |
|
value: 70.519 |
|
- type: map_at_3 |
|
value: 67.72500000000001 |
|
- type: map_at_5 |
|
value: 68.812 |
|
- type: mrr_at_1 |
|
value: 62.333000000000006 |
|
- type: mrr_at_10 |
|
value: 70.956 |
|
- type: mrr_at_100 |
|
value: 71.489 |
|
- type: mrr_at_1000 |
|
value: 71.504 |
|
- type: mrr_at_3 |
|
value: 69.44399999999999 |
|
- type: mrr_at_5 |
|
value: 70.244 |
|
- type: ndcg_at_1 |
|
value: 62.0 |
|
- type: ndcg_at_10 |
|
value: 73.98599999999999 |
|
- type: ndcg_at_100 |
|
value: 76.629 |
|
- type: ndcg_at_1000 |
|
value: 77.054 |
|
- type: ndcg_at_3 |
|
value: 70.513 |
|
- type: ndcg_at_5 |
|
value: 71.978 |
|
- type: precision_at_1 |
|
value: 62.0 |
|
- type: precision_at_10 |
|
value: 9.633 |
|
- type: precision_at_100 |
|
value: 1.097 |
|
- type: precision_at_1000 |
|
value: 0.11299999999999999 |
|
- type: precision_at_3 |
|
value: 27.556000000000004 |
|
- type: precision_at_5 |
|
value: 17.666999999999998 |
|
- type: recall_at_1 |
|
value: 59.633 |
|
- type: recall_at_10 |
|
value: 85.52199999999999 |
|
- type: recall_at_100 |
|
value: 96.667 |
|
- type: recall_at_1000 |
|
value: 100.0 |
|
- type: recall_at_3 |
|
value: 75.767 |
|
- type: recall_at_5 |
|
value: 79.76100000000001 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.77821782178218 |
|
- type: cos_sim_ap |
|
value: 94.58684455008866 |
|
- type: cos_sim_f1 |
|
value: 88.51282051282053 |
|
- type: cos_sim_precision |
|
value: 90.84210526315789 |
|
- type: cos_sim_recall |
|
value: 86.3 |
|
- type: dot_accuracy |
|
value: 99.77623762376237 |
|
- type: dot_ap |
|
value: 94.86277541733045 |
|
- type: dot_f1 |
|
value: 88.66897575457693 |
|
- type: dot_precision |
|
value: 87.75710088148874 |
|
- type: dot_recall |
|
value: 89.60000000000001 |
|
- type: euclidean_accuracy |
|
value: 99.76732673267327 |
|
- type: euclidean_ap |
|
value: 94.12114402691984 |
|
- type: euclidean_f1 |
|
value: 87.96804792810784 |
|
- type: euclidean_precision |
|
value: 87.83649052841476 |
|
- type: euclidean_recall |
|
value: 88.1 |
|
- type: manhattan_accuracy |
|
value: 99.77227722772277 |
|
- type: manhattan_ap |
|
value: 94.33665105240306 |
|
- type: manhattan_f1 |
|
value: 88.25587206396803 |
|
- type: manhattan_precision |
|
value: 88.21178821178822 |
|
- type: manhattan_recall |
|
value: 88.3 |
|
- type: max_accuracy |
|
value: 99.77821782178218 |
|
- type: max_ap |
|
value: 94.86277541733045 |
|
- type: max_f1 |
|
value: 88.66897575457693 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 72.03943478268592 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 35.285037897356496 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 51.83578447913503 |
|
- type: mrr |
|
value: 52.69070696460402 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: mteb/summeval |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 30.89437612567638 |
|
- type: cos_sim_spearman |
|
value: 30.7277819987126 |
|
- type: dot_pearson |
|
value: 30.999783674122526 |
|
- type: dot_spearman |
|
value: 30.992168551124905 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: trec-covid |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.22699999999999998 |
|
- type: map_at_10 |
|
value: 1.8950000000000002 |
|
- type: map_at_100 |
|
value: 11.712 |
|
- type: map_at_1000 |
|
value: 28.713 |
|
- type: map_at_3 |
|
value: 0.65 |
|
- type: map_at_5 |
|
value: 1.011 |
|
- type: mrr_at_1 |
|
value: 92.0 |
|
- type: mrr_at_10 |
|
value: 95.39999999999999 |
|
- type: mrr_at_100 |
|
value: 95.39999999999999 |
|
- type: mrr_at_1000 |
|
value: 95.39999999999999 |
|
- type: mrr_at_3 |
|
value: 95.0 |
|
- type: mrr_at_5 |
|
value: 95.39999999999999 |
|
- type: ndcg_at_1 |
|
value: 83.0 |
|
- type: ndcg_at_10 |
|
value: 76.658 |
|
- type: ndcg_at_100 |
|
value: 60.755 |
|
- type: ndcg_at_1000 |
|
value: 55.05 |
|
- type: ndcg_at_3 |
|
value: 82.961 |
|
- type: ndcg_at_5 |
|
value: 80.008 |
|
- type: precision_at_1 |
|
value: 90.0 |
|
- type: precision_at_10 |
|
value: 79.80000000000001 |
|
- type: precision_at_100 |
|
value: 62.019999999999996 |
|
- type: precision_at_1000 |
|
value: 24.157999999999998 |
|
- type: precision_at_3 |
|
value: 88.0 |
|
- type: precision_at_5 |
|
value: 83.6 |
|
- type: recall_at_1 |
|
value: 0.22699999999999998 |
|
- type: recall_at_10 |
|
value: 2.086 |
|
- type: recall_at_100 |
|
value: 15.262 |
|
- type: recall_at_1000 |
|
value: 51.800000000000004 |
|
- type: recall_at_3 |
|
value: 0.679 |
|
- type: recall_at_5 |
|
value: 1.0739999999999998 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: webis-touche2020 |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 1.521 |
|
- type: map_at_10 |
|
value: 7.281 |
|
- type: map_at_100 |
|
value: 12.717 |
|
- type: map_at_1000 |
|
value: 14.266000000000002 |
|
- type: map_at_3 |
|
value: 3.62 |
|
- type: map_at_5 |
|
value: 4.7010000000000005 |
|
- type: mrr_at_1 |
|
value: 18.367 |
|
- type: mrr_at_10 |
|
value: 34.906 |
|
- type: mrr_at_100 |
|
value: 36.333 |
|
- type: mrr_at_1000 |
|
value: 36.348 |
|
- type: mrr_at_3 |
|
value: 29.592000000000002 |
|
- type: mrr_at_5 |
|
value: 33.367000000000004 |
|
- type: ndcg_at_1 |
|
value: 19.387999999999998 |
|
- type: ndcg_at_10 |
|
value: 18.523 |
|
- type: ndcg_at_100 |
|
value: 30.932 |
|
- type: ndcg_at_1000 |
|
value: 42.942 |
|
- type: ndcg_at_3 |
|
value: 18.901 |
|
- type: ndcg_at_5 |
|
value: 17.974999999999998 |
|
- type: precision_at_1 |
|
value: 20.408 |
|
- type: precision_at_10 |
|
value: 17.347 |
|
- type: precision_at_100 |
|
value: 6.898 |
|
- type: precision_at_1000 |
|
value: 1.482 |
|
- type: precision_at_3 |
|
value: 21.088 |
|
- type: precision_at_5 |
|
value: 19.184 |
|
- type: recall_at_1 |
|
value: 1.521 |
|
- type: recall_at_10 |
|
value: 13.406 |
|
- type: recall_at_100 |
|
value: 43.418 |
|
- type: recall_at_1000 |
|
value: 80.247 |
|
- type: recall_at_3 |
|
value: 4.673 |
|
- type: recall_at_5 |
|
value: 7.247000000000001 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 71.9084 |
|
- type: ap |
|
value: 15.388385311898144 |
|
- type: f1 |
|
value: 55.760189174489426 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 62.399547255234864 |
|
- type: f1 |
|
value: 62.61398519525303 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 53.041094760846164 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.92394349406926 |
|
- type: cos_sim_ap |
|
value: 79.93037248584875 |
|
- type: cos_sim_f1 |
|
value: 73.21063394683026 |
|
- type: cos_sim_precision |
|
value: 70.99652949925633 |
|
- type: cos_sim_recall |
|
value: 75.56728232189973 |
|
- type: dot_accuracy |
|
value: 87.80473266972642 |
|
- type: dot_ap |
|
value: 79.11055417163318 |
|
- type: dot_f1 |
|
value: 72.79587473273801 |
|
- type: dot_precision |
|
value: 69.55058880076905 |
|
- type: dot_recall |
|
value: 76.35883905013192 |
|
- type: euclidean_accuracy |
|
value: 87.91202241163496 |
|
- type: euclidean_ap |
|
value: 79.61955502404068 |
|
- type: euclidean_f1 |
|
value: 72.65956080647231 |
|
- type: euclidean_precision |
|
value: 70.778083562672 |
|
- type: euclidean_recall |
|
value: 74.64379947229551 |
|
- type: manhattan_accuracy |
|
value: 87.7749299636407 |
|
- type: manhattan_ap |
|
value: 79.33286131650932 |
|
- type: manhattan_f1 |
|
value: 72.44748412310699 |
|
- type: manhattan_precision |
|
value: 67.43974533879036 |
|
- type: manhattan_recall |
|
value: 78.25857519788919 |
|
- type: max_accuracy |
|
value: 87.92394349406926 |
|
- type: max_ap |
|
value: 79.93037248584875 |
|
- type: max_f1 |
|
value: 73.21063394683026 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 89.89987192921178 |
|
- type: cos_sim_ap |
|
value: 87.49525152555509 |
|
- type: cos_sim_f1 |
|
value: 80.05039276715578 |
|
- type: cos_sim_precision |
|
value: 77.15714285714286 |
|
- type: cos_sim_recall |
|
value: 83.1690791499846 |
|
- type: dot_accuracy |
|
value: 89.58163542515621 |
|
- type: dot_ap |
|
value: 86.87353801172357 |
|
- type: dot_f1 |
|
value: 79.50204384986993 |
|
- type: dot_precision |
|
value: 76.83522482401953 |
|
- type: dot_recall |
|
value: 82.36064059131506 |
|
- type: euclidean_accuracy |
|
value: 89.81255093724532 |
|
- type: euclidean_ap |
|
value: 87.41058010369022 |
|
- type: euclidean_f1 |
|
value: 79.94095829233214 |
|
- type: euclidean_precision |
|
value: 78.61396456751525 |
|
- type: euclidean_recall |
|
value: 81.3135201724669 |
|
- type: manhattan_accuracy |
|
value: 89.84553886754377 |
|
- type: manhattan_ap |
|
value: 87.41173628281432 |
|
- type: manhattan_f1 |
|
value: 79.9051922079846 |
|
- type: manhattan_precision |
|
value: 76.98016269444841 |
|
- type: manhattan_recall |
|
value: 83.06128734216199 |
|
- type: max_accuracy |
|
value: 89.89987192921178 |
|
- type: max_ap |
|
value: 87.49525152555509 |
|
- type: max_f1 |
|
value: 80.05039276715578 |
|
--- |
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# Repetition Improves Language Model Embeddings |
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Please refer to our paper: [https://arxiv.org/abs/2402.15449](https://arxiv.org/abs/2402.15449) |
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And our GitHub: [https://github.com/jakespringer/echo-embeddings](https://github.com/jakespringer/echo-embeddings) |
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We provide a description of the model as well as example usage in the above links. |
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