|
--- |
|
tags: |
|
- mteb |
|
model-index: |
|
- name: mpnet_main_noabtt |
|
results: |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 68.01492537313432 |
|
- type: ap |
|
value: 29.926088215432827 |
|
- type: f1 |
|
value: 61.543829186658314 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 66.03607500000001 |
|
- type: ap |
|
value: 60.89551858560106 |
|
- type: f1 |
|
value: 65.80068648160709 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 34.78199999999999 |
|
- type: f1 |
|
value: 34.250938954862356 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB ArguAna |
|
config: default |
|
split: test |
|
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.266 |
|
- type: map_at_10 |
|
value: 35.196 |
|
- type: map_at_100 |
|
value: 36.387 |
|
- type: map_at_1000 |
|
value: 36.416 |
|
- type: map_at_3 |
|
value: 30.773 |
|
- type: map_at_5 |
|
value: 33.163 |
|
- type: mrr_at_1 |
|
value: 22.048000000000002 |
|
- type: mrr_at_10 |
|
value: 35.481 |
|
- type: mrr_at_100 |
|
value: 36.665 |
|
- type: mrr_at_1000 |
|
value: 36.693999999999996 |
|
- type: mrr_at_3 |
|
value: 31.069000000000003 |
|
- type: mrr_at_5 |
|
value: 33.455 |
|
- type: ndcg_at_1 |
|
value: 21.266 |
|
- type: ndcg_at_10 |
|
value: 43.114000000000004 |
|
- type: ndcg_at_100 |
|
value: 48.61 |
|
- type: ndcg_at_1000 |
|
value: 49.334 |
|
- type: ndcg_at_3 |
|
value: 33.951 |
|
- type: ndcg_at_5 |
|
value: 38.257999999999996 |
|
- type: precision_at_1 |
|
value: 21.266 |
|
- type: precision_at_10 |
|
value: 6.848999999999999 |
|
- type: precision_at_100 |
|
value: 0.935 |
|
- type: precision_at_1000 |
|
value: 0.099 |
|
- type: precision_at_3 |
|
value: 14.391000000000002 |
|
- type: precision_at_5 |
|
value: 10.725 |
|
- type: recall_at_1 |
|
value: 21.266 |
|
- type: recall_at_10 |
|
value: 68.49199999999999 |
|
- type: recall_at_100 |
|
value: 93.528 |
|
- type: recall_at_1000 |
|
value: 99.14699999999999 |
|
- type: recall_at_3 |
|
value: 43.172 |
|
- type: recall_at_5 |
|
value: 53.627 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 36.01511495124908 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 26.77906639415867 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 54.32809895348082 |
|
- type: mrr |
|
value: 68.93109967902211 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 78.61413947741643 |
|
- type: cos_sim_spearman |
|
value: 75.72702669649405 |
|
- type: euclidean_pearson |
|
value: 77.72961558201939 |
|
- type: euclidean_spearman |
|
value: 75.72702669649405 |
|
- type: manhattan_pearson |
|
value: 78.63299657922013 |
|
- type: manhattan_spearman |
|
value: 77.19874697762698 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 72.92857142857143 |
|
- type: f1 |
|
value: 72.1661081571387 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 33.19795849293594 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 25.13940168273952 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: f46a197baaae43b4f621051089b82a364682dfeb |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.384999999999998 |
|
- type: map_at_10 |
|
value: 29.628 |
|
- type: map_at_100 |
|
value: 30.781 |
|
- type: map_at_1000 |
|
value: 30.933 |
|
- type: map_at_3 |
|
value: 26.889000000000003 |
|
- type: map_at_5 |
|
value: 28.388999999999996 |
|
- type: mrr_at_1 |
|
value: 28.183000000000003 |
|
- type: mrr_at_10 |
|
value: 34.952 |
|
- type: mrr_at_100 |
|
value: 35.774 |
|
- type: mrr_at_1000 |
|
value: 35.843 |
|
- type: mrr_at_3 |
|
value: 32.499 |
|
- type: mrr_at_5 |
|
value: 33.829 |
|
- type: ndcg_at_1 |
|
value: 28.183000000000003 |
|
- type: ndcg_at_10 |
|
value: 34.614 |
|
- type: ndcg_at_100 |
|
value: 39.737 |
|
- type: ndcg_at_1000 |
|
value: 42.742999999999995 |
|
- type: ndcg_at_3 |
|
value: 30.328 |
|
- type: ndcg_at_5 |
|
value: 32.23 |
|
- type: precision_at_1 |
|
value: 28.183000000000003 |
|
- type: precision_at_10 |
|
value: 6.723999999999999 |
|
- type: precision_at_100 |
|
value: 1.172 |
|
- type: precision_at_1000 |
|
value: 0.181 |
|
- type: precision_at_3 |
|
value: 14.402000000000001 |
|
- type: precision_at_5 |
|
value: 10.587 |
|
- type: recall_at_1 |
|
value: 22.384999999999998 |
|
- type: recall_at_10 |
|
value: 43.537 |
|
- type: recall_at_100 |
|
value: 66.37100000000001 |
|
- type: recall_at_1000 |
|
value: 86.978 |
|
- type: recall_at_3 |
|
value: 30.874000000000002 |
|
- type: recall_at_5 |
|
value: 36.358000000000004 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 15.145 |
|
- type: map_at_10 |
|
value: 20.992 |
|
- type: map_at_100 |
|
value: 21.951999999999998 |
|
- type: map_at_1000 |
|
value: 22.076999999999998 |
|
- type: map_at_3 |
|
value: 19.211 |
|
- type: map_at_5 |
|
value: 20.233999999999998 |
|
- type: mrr_at_1 |
|
value: 19.363 |
|
- type: mrr_at_10 |
|
value: 24.97 |
|
- type: mrr_at_100 |
|
value: 25.818 |
|
- type: mrr_at_1000 |
|
value: 25.895000000000003 |
|
- type: mrr_at_3 |
|
value: 23.238 |
|
- type: mrr_at_5 |
|
value: 24.288999999999998 |
|
- type: ndcg_at_1 |
|
value: 19.363 |
|
- type: ndcg_at_10 |
|
value: 24.665 |
|
- type: ndcg_at_100 |
|
value: 29.122999999999998 |
|
- type: ndcg_at_1000 |
|
value: 32.06 |
|
- type: ndcg_at_3 |
|
value: 21.729000000000003 |
|
- type: ndcg_at_5 |
|
value: 23.148 |
|
- type: precision_at_1 |
|
value: 19.363 |
|
- type: precision_at_10 |
|
value: 4.643 |
|
- type: precision_at_100 |
|
value: 0.864 |
|
- type: precision_at_1000 |
|
value: 0.13699999999999998 |
|
- type: precision_at_3 |
|
value: 10.51 |
|
- type: precision_at_5 |
|
value: 7.617999999999999 |
|
- type: recall_at_1 |
|
value: 15.145 |
|
- type: recall_at_10 |
|
value: 31.653 |
|
- type: recall_at_100 |
|
value: 51.344 |
|
- type: recall_at_1000 |
|
value: 71.352 |
|
- type: recall_at_3 |
|
value: 22.892000000000003 |
|
- type: recall_at_5 |
|
value: 26.878999999999998 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
metrics: |
|
- type: map_at_1 |
|
value: 24.68 |
|
- type: map_at_10 |
|
value: 33.0 |
|
- type: map_at_100 |
|
value: 34.095 |
|
- type: map_at_1000 |
|
value: 34.193 |
|
- type: map_at_3 |
|
value: 30.444 |
|
- type: map_at_5 |
|
value: 31.691999999999997 |
|
- type: mrr_at_1 |
|
value: 28.527 |
|
- type: mrr_at_10 |
|
value: 36.162 |
|
- type: mrr_at_100 |
|
value: 37.064 |
|
- type: mrr_at_1000 |
|
value: 37.124 |
|
- type: mrr_at_3 |
|
value: 33.866 |
|
- type: mrr_at_5 |
|
value: 35.026 |
|
- type: ndcg_at_1 |
|
value: 28.527 |
|
- type: ndcg_at_10 |
|
value: 37.893 |
|
- type: ndcg_at_100 |
|
value: 43.082 |
|
- type: ndcg_at_1000 |
|
value: 45.366 |
|
- type: ndcg_at_3 |
|
value: 33.062000000000005 |
|
- type: ndcg_at_5 |
|
value: 35.007 |
|
- type: precision_at_1 |
|
value: 28.527 |
|
- type: precision_at_10 |
|
value: 6.276 |
|
- type: precision_at_100 |
|
value: 0.966 |
|
- type: precision_at_1000 |
|
value: 0.125 |
|
- type: precision_at_3 |
|
value: 14.879999999999999 |
|
- type: precision_at_5 |
|
value: 10.206999999999999 |
|
- type: recall_at_1 |
|
value: 24.68 |
|
- type: recall_at_10 |
|
value: 49.8 |
|
- type: recall_at_100 |
|
value: 73.27900000000001 |
|
- type: recall_at_1000 |
|
value: 89.761 |
|
- type: recall_at_3 |
|
value: 36.428 |
|
- type: recall_at_5 |
|
value: 41.284 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.674 |
|
- type: map_at_10 |
|
value: 17.466 |
|
- type: map_at_100 |
|
value: 18.309 |
|
- type: map_at_1000 |
|
value: 18.415 |
|
- type: map_at_3 |
|
value: 16.072 |
|
- type: map_at_5 |
|
value: 16.835 |
|
- type: mrr_at_1 |
|
value: 13.672 |
|
- type: mrr_at_10 |
|
value: 18.602 |
|
- type: mrr_at_100 |
|
value: 19.434 |
|
- type: mrr_at_1000 |
|
value: 19.526 |
|
- type: mrr_at_3 |
|
value: 17.213 |
|
- type: mrr_at_5 |
|
value: 17.942 |
|
- type: ndcg_at_1 |
|
value: 13.672 |
|
- type: ndcg_at_10 |
|
value: 20.339 |
|
- type: ndcg_at_100 |
|
value: 24.979000000000003 |
|
- type: ndcg_at_1000 |
|
value: 28.186 |
|
- type: ndcg_at_3 |
|
value: 17.5 |
|
- type: ndcg_at_5 |
|
value: 18.791 |
|
- type: precision_at_1 |
|
value: 13.672 |
|
- type: precision_at_10 |
|
value: 3.209 |
|
- type: precision_at_100 |
|
value: 0.5890000000000001 |
|
- type: precision_at_1000 |
|
value: 0.091 |
|
- type: precision_at_3 |
|
value: 7.571 |
|
- type: precision_at_5 |
|
value: 5.311 |
|
- type: recall_at_1 |
|
value: 12.674 |
|
- type: recall_at_10 |
|
value: 28.096 |
|
- type: recall_at_100 |
|
value: 50.444 |
|
- type: recall_at_1000 |
|
value: 75.581 |
|
- type: recall_at_3 |
|
value: 20.330000000000002 |
|
- type: recall_at_5 |
|
value: 23.384 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.537 |
|
- type: map_at_10 |
|
value: 9.889000000000001 |
|
- type: map_at_100 |
|
value: 10.775 |
|
- type: map_at_1000 |
|
value: 10.902000000000001 |
|
- type: map_at_3 |
|
value: 8.639 |
|
- type: map_at_5 |
|
value: 9.264 |
|
- type: mrr_at_1 |
|
value: 8.706 |
|
- type: mrr_at_10 |
|
value: 12.606 |
|
- type: mrr_at_100 |
|
value: 13.455 |
|
- type: mrr_at_1000 |
|
value: 13.557 |
|
- type: mrr_at_3 |
|
value: 11.111 |
|
- type: mrr_at_5 |
|
value: 11.801 |
|
- type: ndcg_at_1 |
|
value: 8.706 |
|
- type: ndcg_at_10 |
|
value: 12.617999999999999 |
|
- type: ndcg_at_100 |
|
value: 17.34 |
|
- type: ndcg_at_1000 |
|
value: 20.905 |
|
- type: ndcg_at_3 |
|
value: 10.027999999999999 |
|
- type: ndcg_at_5 |
|
value: 11.063 |
|
- type: precision_at_1 |
|
value: 8.706 |
|
- type: precision_at_10 |
|
value: 2.45 |
|
- type: precision_at_100 |
|
value: 0.573 |
|
- type: precision_at_1000 |
|
value: 0.10200000000000001 |
|
- type: precision_at_3 |
|
value: 4.934 |
|
- type: precision_at_5 |
|
value: 3.6319999999999997 |
|
- type: recall_at_1 |
|
value: 6.537 |
|
- type: recall_at_10 |
|
value: 18.593 |
|
- type: recall_at_100 |
|
value: 39.922999999999995 |
|
- type: recall_at_1000 |
|
value: 66.08000000000001 |
|
- type: recall_at_3 |
|
value: 11.27 |
|
- type: recall_at_5 |
|
value: 13.996 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.319 |
|
- type: map_at_10 |
|
value: 24.237000000000002 |
|
- type: map_at_100 |
|
value: 25.406000000000002 |
|
- type: map_at_1000 |
|
value: 25.554 |
|
- type: map_at_3 |
|
value: 22.032 |
|
- type: map_at_5 |
|
value: 23.258000000000003 |
|
- type: mrr_at_1 |
|
value: 22.522000000000002 |
|
- type: mrr_at_10 |
|
value: 28.764 |
|
- type: mrr_at_100 |
|
value: 29.692 |
|
- type: mrr_at_1000 |
|
value: 29.781999999999996 |
|
- type: mrr_at_3 |
|
value: 26.468000000000004 |
|
- type: mrr_at_5 |
|
value: 27.801 |
|
- type: ndcg_at_1 |
|
value: 22.522000000000002 |
|
- type: ndcg_at_10 |
|
value: 28.549999999999997 |
|
- type: ndcg_at_100 |
|
value: 34.126 |
|
- type: ndcg_at_1000 |
|
value: 37.471 |
|
- type: ndcg_at_3 |
|
value: 24.643 |
|
- type: ndcg_at_5 |
|
value: 26.537 |
|
- type: precision_at_1 |
|
value: 22.522000000000002 |
|
- type: precision_at_10 |
|
value: 5.2940000000000005 |
|
- type: precision_at_100 |
|
value: 0.97 |
|
- type: precision_at_1000 |
|
value: 0.146 |
|
- type: precision_at_3 |
|
value: 11.485 |
|
- type: precision_at_5 |
|
value: 8.508000000000001 |
|
- type: recall_at_1 |
|
value: 18.319 |
|
- type: recall_at_10 |
|
value: 37.061 |
|
- type: recall_at_100 |
|
value: 61.68 |
|
- type: recall_at_1000 |
|
value: 84.885 |
|
- type: recall_at_3 |
|
value: 26.117 |
|
- type: recall_at_5 |
|
value: 30.939 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.307 |
|
- type: map_at_10 |
|
value: 17.764 |
|
- type: map_at_100 |
|
value: 18.843 |
|
- type: map_at_1000 |
|
value: 18.983 |
|
- type: map_at_3 |
|
value: 15.774 |
|
- type: map_at_5 |
|
value: 16.872999999999998 |
|
- type: mrr_at_1 |
|
value: 15.753 |
|
- type: mrr_at_10 |
|
value: 21.42 |
|
- type: mrr_at_100 |
|
value: 22.351 |
|
- type: mrr_at_1000 |
|
value: 22.448999999999998 |
|
- type: mrr_at_3 |
|
value: 19.368 |
|
- type: mrr_at_5 |
|
value: 20.527 |
|
- type: ndcg_at_1 |
|
value: 15.753 |
|
- type: ndcg_at_10 |
|
value: 21.573 |
|
- type: ndcg_at_100 |
|
value: 26.994 |
|
- type: ndcg_at_1000 |
|
value: 30.407 |
|
- type: ndcg_at_3 |
|
value: 17.968 |
|
- type: ndcg_at_5 |
|
value: 19.669 |
|
- type: precision_at_1 |
|
value: 15.753 |
|
- type: precision_at_10 |
|
value: 4.144 |
|
- type: precision_at_100 |
|
value: 0.826 |
|
- type: precision_at_1000 |
|
value: 0.129 |
|
- type: precision_at_3 |
|
value: 8.638 |
|
- type: precision_at_5 |
|
value: 6.575 |
|
- type: recall_at_1 |
|
value: 12.307 |
|
- type: recall_at_10 |
|
value: 29.615000000000002 |
|
- type: recall_at_100 |
|
value: 53.729000000000006 |
|
- type: recall_at_1000 |
|
value: 77.751 |
|
- type: recall_at_3 |
|
value: 19.584 |
|
- type: recall_at_5 |
|
value: 23.923 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
metrics: |
|
- type: map_at_1 |
|
value: 13.978749999999998 |
|
- type: map_at_10 |
|
value: 19.17908333333333 |
|
- type: map_at_100 |
|
value: 20.128416666666666 |
|
- type: map_at_1000 |
|
value: 20.25808333333333 |
|
- type: map_at_3 |
|
value: 17.398 |
|
- type: map_at_5 |
|
value: 18.342999999999996 |
|
- type: mrr_at_1 |
|
value: 17.03141666666667 |
|
- type: mrr_at_10 |
|
value: 22.300083333333333 |
|
- type: mrr_at_100 |
|
value: 23.13458333333334 |
|
- type: mrr_at_1000 |
|
value: 23.222583333333333 |
|
- type: mrr_at_3 |
|
value: 20.495749999999997 |
|
- type: mrr_at_5 |
|
value: 21.48033333333333 |
|
- type: ndcg_at_1 |
|
value: 17.03141666666667 |
|
- type: ndcg_at_10 |
|
value: 22.739833333333337 |
|
- type: ndcg_at_100 |
|
value: 27.511749999999996 |
|
- type: ndcg_at_1000 |
|
value: 30.706333333333337 |
|
- type: ndcg_at_3 |
|
value: 19.47566666666667 |
|
- type: ndcg_at_5 |
|
value: 20.91025 |
|
- type: precision_at_1 |
|
value: 17.03141666666667 |
|
- type: precision_at_10 |
|
value: 4.118166666666667 |
|
- type: precision_at_100 |
|
value: 0.7796666666666667 |
|
- type: precision_at_1000 |
|
value: 0.12458333333333332 |
|
- type: precision_at_3 |
|
value: 9.0545 |
|
- type: precision_at_5 |
|
value: 6.56175 |
|
- type: recall_at_1 |
|
value: 13.978749999999998 |
|
- type: recall_at_10 |
|
value: 30.441333333333333 |
|
- type: recall_at_100 |
|
value: 52.37841666666667 |
|
- type: recall_at_1000 |
|
value: 75.46725 |
|
- type: recall_at_3 |
|
value: 21.12483333333333 |
|
- type: recall_at_5 |
|
value: 24.88366666666667 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
metrics: |
|
- type: map_at_1 |
|
value: 10.685 |
|
- type: map_at_10 |
|
value: 14.92 |
|
- type: map_at_100 |
|
value: 15.620000000000001 |
|
- type: map_at_1000 |
|
value: 15.702 |
|
- type: map_at_3 |
|
value: 13.327 |
|
- type: map_at_5 |
|
value: 14.148 |
|
- type: mrr_at_1 |
|
value: 12.73 |
|
- type: mrr_at_10 |
|
value: 16.999 |
|
- type: mrr_at_100 |
|
value: 17.727999999999998 |
|
- type: mrr_at_1000 |
|
value: 17.799 |
|
- type: mrr_at_3 |
|
value: 15.440000000000001 |
|
- type: mrr_at_5 |
|
value: 16.299 |
|
- type: ndcg_at_1 |
|
value: 12.73 |
|
- type: ndcg_at_10 |
|
value: 17.892 |
|
- type: ndcg_at_100 |
|
value: 21.819 |
|
- type: ndcg_at_1000 |
|
value: 24.238 |
|
- type: ndcg_at_3 |
|
value: 14.865999999999998 |
|
- type: ndcg_at_5 |
|
value: 16.157 |
|
- type: precision_at_1 |
|
value: 12.73 |
|
- type: precision_at_10 |
|
value: 3.16 |
|
- type: precision_at_100 |
|
value: 0.563 |
|
- type: precision_at_1000 |
|
value: 0.084 |
|
- type: precision_at_3 |
|
value: 6.902 |
|
- type: precision_at_5 |
|
value: 5.031 |
|
- type: recall_at_1 |
|
value: 10.685 |
|
- type: recall_at_10 |
|
value: 25.291999999999998 |
|
- type: recall_at_100 |
|
value: 43.815 |
|
- type: recall_at_1000 |
|
value: 62.278 |
|
- type: recall_at_3 |
|
value: 16.481 |
|
- type: recall_at_5 |
|
value: 19.869 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: 46989137a86843e03a6195de44b09deda022eec7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 7.295 |
|
- type: map_at_10 |
|
value: 10.568 |
|
- type: map_at_100 |
|
value: 11.224 |
|
- type: map_at_1000 |
|
value: 11.354000000000001 |
|
- type: map_at_3 |
|
value: 9.41 |
|
- type: map_at_5 |
|
value: 10.055 |
|
- type: mrr_at_1 |
|
value: 9.36 |
|
- type: mrr_at_10 |
|
value: 12.956000000000001 |
|
- type: mrr_at_100 |
|
value: 13.628000000000002 |
|
- type: mrr_at_1000 |
|
value: 13.735 |
|
- type: mrr_at_3 |
|
value: 11.608 |
|
- type: mrr_at_5 |
|
value: 12.367 |
|
- type: ndcg_at_1 |
|
value: 9.36 |
|
- type: ndcg_at_10 |
|
value: 12.992 |
|
- type: ndcg_at_100 |
|
value: 16.681 |
|
- type: ndcg_at_1000 |
|
value: 20.355 |
|
- type: ndcg_at_3 |
|
value: 10.756 |
|
- type: ndcg_at_5 |
|
value: 11.805 |
|
- type: precision_at_1 |
|
value: 9.36 |
|
- type: precision_at_10 |
|
value: 2.46 |
|
- type: precision_at_100 |
|
value: 0.523 |
|
- type: precision_at_1000 |
|
value: 0.099 |
|
- type: precision_at_3 |
|
value: 5.1499999999999995 |
|
- type: precision_at_5 |
|
value: 3.882 |
|
- type: recall_at_1 |
|
value: 7.295 |
|
- type: recall_at_10 |
|
value: 18.109 |
|
- type: recall_at_100 |
|
value: 35.382000000000005 |
|
- type: recall_at_1000 |
|
value: 62.734 |
|
- type: recall_at_3 |
|
value: 11.906 |
|
- type: recall_at_5 |
|
value: 14.524999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.784999999999998 |
|
- type: map_at_10 |
|
value: 16.897000000000002 |
|
- type: map_at_100 |
|
value: 17.804000000000002 |
|
- type: map_at_1000 |
|
value: 17.925 |
|
- type: map_at_3 |
|
value: 15.494 |
|
- type: map_at_5 |
|
value: 16.223000000000003 |
|
- type: mrr_at_1 |
|
value: 15.485 |
|
- type: mrr_at_10 |
|
value: 20.007 |
|
- type: mrr_at_100 |
|
value: 20.882 |
|
- type: mrr_at_1000 |
|
value: 20.979 |
|
- type: mrr_at_3 |
|
value: 18.392 |
|
- type: mrr_at_5 |
|
value: 19.320999999999998 |
|
- type: ndcg_at_1 |
|
value: 15.485 |
|
- type: ndcg_at_10 |
|
value: 19.993 |
|
- type: ndcg_at_100 |
|
value: 24.945999999999998 |
|
- type: ndcg_at_1000 |
|
value: 28.233000000000004 |
|
- type: ndcg_at_3 |
|
value: 17.19 |
|
- type: ndcg_at_5 |
|
value: 18.404999999999998 |
|
- type: precision_at_1 |
|
value: 15.485 |
|
- type: precision_at_10 |
|
value: 3.3680000000000003 |
|
- type: precision_at_100 |
|
value: 0.654 |
|
- type: precision_at_1000 |
|
value: 0.106 |
|
- type: precision_at_3 |
|
value: 7.805 |
|
- type: precision_at_5 |
|
value: 5.56 |
|
- type: recall_at_1 |
|
value: 12.784999999999998 |
|
- type: recall_at_10 |
|
value: 26.740000000000002 |
|
- type: recall_at_100 |
|
value: 49.907000000000004 |
|
- type: recall_at_1000 |
|
value: 73.85000000000001 |
|
- type: recall_at_3 |
|
value: 18.741 |
|
- type: recall_at_5 |
|
value: 21.894 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
|
metrics: |
|
- type: map_at_1 |
|
value: 15.253 |
|
- type: map_at_10 |
|
value: 20.666999999999998 |
|
- type: map_at_100 |
|
value: 21.809 |
|
- type: map_at_1000 |
|
value: 22.012 |
|
- type: map_at_3 |
|
value: 18.754 |
|
- type: map_at_5 |
|
value: 19.743 |
|
- type: mrr_at_1 |
|
value: 19.17 |
|
- type: mrr_at_10 |
|
value: 24.614 |
|
- type: mrr_at_100 |
|
value: 25.487 |
|
- type: mrr_at_1000 |
|
value: 25.575 |
|
- type: mrr_at_3 |
|
value: 22.759999999999998 |
|
- type: mrr_at_5 |
|
value: 23.818 |
|
- type: ndcg_at_1 |
|
value: 19.17 |
|
- type: ndcg_at_10 |
|
value: 24.685000000000002 |
|
- type: ndcg_at_100 |
|
value: 29.84 |
|
- type: ndcg_at_1000 |
|
value: 33.548 |
|
- type: ndcg_at_3 |
|
value: 21.569 |
|
- type: ndcg_at_5 |
|
value: 22.842000000000002 |
|
- type: precision_at_1 |
|
value: 19.17 |
|
- type: precision_at_10 |
|
value: 4.862 |
|
- type: precision_at_100 |
|
value: 1.105 |
|
- type: precision_at_1000 |
|
value: 0.2 |
|
- type: precision_at_3 |
|
value: 10.277 |
|
- type: precision_at_5 |
|
value: 7.431 |
|
- type: recall_at_1 |
|
value: 15.253 |
|
- type: recall_at_10 |
|
value: 31.858999999999998 |
|
- type: recall_at_100 |
|
value: 56.477999999999994 |
|
- type: recall_at_1000 |
|
value: 81.56099999999999 |
|
- type: recall_at_3 |
|
value: 22.11 |
|
- type: recall_at_5 |
|
value: 26.003 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.68 |
|
- type: map_at_10 |
|
value: 14.121 |
|
- type: map_at_100 |
|
value: 14.923 |
|
- type: map_at_1000 |
|
value: 15.046999999999999 |
|
- type: map_at_3 |
|
value: 12.73 |
|
- type: map_at_5 |
|
value: 13.402 |
|
- type: mrr_at_1 |
|
value: 10.906 |
|
- type: mrr_at_10 |
|
value: 15.549 |
|
- type: mrr_at_100 |
|
value: 16.302 |
|
- type: mrr_at_1000 |
|
value: 16.407 |
|
- type: mrr_at_3 |
|
value: 13.986 |
|
- type: mrr_at_5 |
|
value: 14.743999999999998 |
|
- type: ndcg_at_1 |
|
value: 10.906 |
|
- type: ndcg_at_10 |
|
value: 17.064 |
|
- type: ndcg_at_100 |
|
value: 21.474 |
|
- type: ndcg_at_1000 |
|
value: 24.964 |
|
- type: ndcg_at_3 |
|
value: 14.069 |
|
- type: ndcg_at_5 |
|
value: 15.268999999999998 |
|
- type: precision_at_1 |
|
value: 10.906 |
|
- type: precision_at_10 |
|
value: 2.828 |
|
- type: precision_at_100 |
|
value: 0.551 |
|
- type: precision_at_1000 |
|
value: 0.095 |
|
- type: precision_at_3 |
|
value: 6.1 |
|
- type: precision_at_5 |
|
value: 4.399 |
|
- type: recall_at_1 |
|
value: 9.68 |
|
- type: recall_at_10 |
|
value: 24.941 |
|
- type: recall_at_100 |
|
value: 46.189 |
|
- type: recall_at_1000 |
|
value: 72.796 |
|
- type: recall_at_3 |
|
value: 16.765 |
|
- type: recall_at_5 |
|
value: 19.55 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.151 |
|
- type: map_at_10 |
|
value: 11.699 |
|
- type: map_at_100 |
|
value: 13.213 |
|
- type: map_at_1000 |
|
value: 13.441 |
|
- type: map_at_3 |
|
value: 9.356 |
|
- type: map_at_5 |
|
value: 10.456999999999999 |
|
- type: mrr_at_1 |
|
value: 13.29 |
|
- type: mrr_at_10 |
|
value: 23.102 |
|
- type: mrr_at_100 |
|
value: 24.262 |
|
- type: mrr_at_1000 |
|
value: 24.332 |
|
- type: mrr_at_3 |
|
value: 19.75 |
|
- type: mrr_at_5 |
|
value: 21.490000000000002 |
|
- type: ndcg_at_1 |
|
value: 13.29 |
|
- type: ndcg_at_10 |
|
value: 17.761 |
|
- type: ndcg_at_100 |
|
value: 24.587 |
|
- type: ndcg_at_1000 |
|
value: 29.004 |
|
- type: ndcg_at_3 |
|
value: 13.247 |
|
- type: ndcg_at_5 |
|
value: 14.776 |
|
- type: precision_at_1 |
|
value: 13.29 |
|
- type: precision_at_10 |
|
value: 6.104 |
|
- type: precision_at_100 |
|
value: 1.343 |
|
- type: precision_at_1000 |
|
value: 0.213 |
|
- type: precision_at_3 |
|
value: 10.315000000000001 |
|
- type: precision_at_5 |
|
value: 8.352 |
|
- type: recall_at_1 |
|
value: 6.151 |
|
- type: recall_at_10 |
|
value: 23.374 |
|
- type: recall_at_100 |
|
value: 47.381 |
|
- type: recall_at_1000 |
|
value: 72.707 |
|
- type: recall_at_3 |
|
value: 12.709000000000001 |
|
- type: recall_at_5 |
|
value: 16.575 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.2969999999999997 |
|
- type: map_at_10 |
|
value: 8.185 |
|
- type: map_at_100 |
|
value: 11.555 |
|
- type: map_at_1000 |
|
value: 12.506 |
|
- type: map_at_3 |
|
value: 5.63 |
|
- type: map_at_5 |
|
value: 6.851 |
|
- type: mrr_at_1 |
|
value: 37.5 |
|
- type: mrr_at_10 |
|
value: 47.846 |
|
- type: mrr_at_100 |
|
value: 48.595 |
|
- type: mrr_at_1000 |
|
value: 48.619 |
|
- type: mrr_at_3 |
|
value: 44.792 |
|
- type: mrr_at_5 |
|
value: 46.367000000000004 |
|
- type: ndcg_at_1 |
|
value: 27.375 |
|
- type: ndcg_at_10 |
|
value: 21.753 |
|
- type: ndcg_at_100 |
|
value: 24.714 |
|
- type: ndcg_at_1000 |
|
value: 31.426 |
|
- type: ndcg_at_3 |
|
value: 23.781 |
|
- type: ndcg_at_5 |
|
value: 22.808 |
|
- type: precision_at_1 |
|
value: 37.5 |
|
- type: precision_at_10 |
|
value: 19.775000000000002 |
|
- type: precision_at_100 |
|
value: 6.45 |
|
- type: precision_at_1000 |
|
value: 1.434 |
|
- type: precision_at_3 |
|
value: 28.333000000000002 |
|
- type: precision_at_5 |
|
value: 24.95 |
|
- type: recall_at_1 |
|
value: 3.2969999999999997 |
|
- type: recall_at_10 |
|
value: 12.861 |
|
- type: recall_at_100 |
|
value: 31.055 |
|
- type: recall_at_1000 |
|
value: 53.855 |
|
- type: recall_at_3 |
|
value: 6.848999999999999 |
|
- type: recall_at_5 |
|
value: 9.328 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 45.91 |
|
- type: f1 |
|
value: 41.614000185716236 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
metrics: |
|
- type: map_at_1 |
|
value: 14.413 |
|
- type: map_at_10 |
|
value: 21.197 |
|
- type: map_at_100 |
|
value: 22.116 |
|
- type: map_at_1000 |
|
value: 22.186 |
|
- type: map_at_3 |
|
value: 18.867 |
|
- type: map_at_5 |
|
value: 20.154 |
|
- type: mrr_at_1 |
|
value: 15.302 |
|
- type: mrr_at_10 |
|
value: 22.462 |
|
- type: mrr_at_100 |
|
value: 23.391000000000002 |
|
- type: mrr_at_1000 |
|
value: 23.452 |
|
- type: mrr_at_3 |
|
value: 20.012 |
|
- type: mrr_at_5 |
|
value: 21.38 |
|
- type: ndcg_at_1 |
|
value: 15.302 |
|
- type: ndcg_at_10 |
|
value: 25.458 |
|
- type: ndcg_at_100 |
|
value: 30.144 |
|
- type: ndcg_at_1000 |
|
value: 32.124 |
|
- type: ndcg_at_3 |
|
value: 20.638 |
|
- type: ndcg_at_5 |
|
value: 22.964000000000002 |
|
- type: precision_at_1 |
|
value: 15.302 |
|
- type: precision_at_10 |
|
value: 4.086 |
|
- type: precision_at_100 |
|
value: 0.662 |
|
- type: precision_at_1000 |
|
value: 0.08499999999999999 |
|
- type: precision_at_3 |
|
value: 8.806 |
|
- type: precision_at_5 |
|
value: 6.514 |
|
- type: recall_at_1 |
|
value: 14.413 |
|
- type: recall_at_10 |
|
value: 37.682 |
|
- type: recall_at_100 |
|
value: 59.521 |
|
- type: recall_at_1000 |
|
value: 74.95100000000001 |
|
- type: recall_at_3 |
|
value: 24.618000000000002 |
|
- type: recall_at_5 |
|
value: 30.186 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.948 |
|
- type: map_at_10 |
|
value: 11.461 |
|
- type: map_at_100 |
|
value: 12.565000000000001 |
|
- type: map_at_1000 |
|
value: 12.76 |
|
- type: map_at_3 |
|
value: 9.679 |
|
- type: map_at_5 |
|
value: 10.59 |
|
- type: mrr_at_1 |
|
value: 13.58 |
|
- type: mrr_at_10 |
|
value: 19.377 |
|
- type: mrr_at_100 |
|
value: 20.435 |
|
- type: mrr_at_1000 |
|
value: 20.526 |
|
- type: mrr_at_3 |
|
value: 17.000999999999998 |
|
- type: mrr_at_5 |
|
value: 18.374 |
|
- type: ndcg_at_1 |
|
value: 13.58 |
|
- type: ndcg_at_10 |
|
value: 15.756999999999998 |
|
- type: ndcg_at_100 |
|
value: 21.529999999999998 |
|
- type: ndcg_at_1000 |
|
value: 25.956000000000003 |
|
- type: ndcg_at_3 |
|
value: 12.848 |
|
- type: ndcg_at_5 |
|
value: 13.998 |
|
- type: precision_at_1 |
|
value: 13.58 |
|
- type: precision_at_10 |
|
value: 4.491 |
|
- type: precision_at_100 |
|
value: 1.035 |
|
- type: precision_at_1000 |
|
value: 0.182 |
|
- type: precision_at_3 |
|
value: 8.385 |
|
- type: precision_at_5 |
|
value: 6.6049999999999995 |
|
- type: recall_at_1 |
|
value: 6.948 |
|
- type: recall_at_10 |
|
value: 20.569000000000003 |
|
- type: recall_at_100 |
|
value: 43.488 |
|
- type: recall_at_1000 |
|
value: 70.87400000000001 |
|
- type: recall_at_3 |
|
value: 12.17 |
|
- type: recall_at_5 |
|
value: 15.495999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
|
metrics: |
|
- type: map_at_1 |
|
value: 14.854999999999999 |
|
- type: map_at_10 |
|
value: 21.003 |
|
- type: map_at_100 |
|
value: 21.797 |
|
- type: map_at_1000 |
|
value: 21.904 |
|
- type: map_at_3 |
|
value: 19.258 |
|
- type: map_at_5 |
|
value: 20.188 |
|
- type: mrr_at_1 |
|
value: 29.709999999999997 |
|
- type: mrr_at_10 |
|
value: 36.414 |
|
- type: mrr_at_100 |
|
value: 37.113 |
|
- type: mrr_at_1000 |
|
value: 37.179 |
|
- type: mrr_at_3 |
|
value: 34.542 |
|
- type: mrr_at_5 |
|
value: 35.619 |
|
- type: ndcg_at_1 |
|
value: 29.709999999999997 |
|
- type: ndcg_at_10 |
|
value: 27.198 |
|
- type: ndcg_at_100 |
|
value: 31.052999999999997 |
|
- type: ndcg_at_1000 |
|
value: 33.757 |
|
- type: ndcg_at_3 |
|
value: 23.775 |
|
- type: ndcg_at_5 |
|
value: 25.399 |
|
- type: precision_at_1 |
|
value: 29.709999999999997 |
|
- type: precision_at_10 |
|
value: 6.078 |
|
- type: precision_at_100 |
|
value: 0.919 |
|
- type: precision_at_1000 |
|
value: 0.128 |
|
- type: precision_at_3 |
|
value: 15.093 |
|
- type: precision_at_5 |
|
value: 10.344000000000001 |
|
- type: recall_at_1 |
|
value: 14.854999999999999 |
|
- type: recall_at_10 |
|
value: 30.392000000000003 |
|
- type: recall_at_100 |
|
value: 45.949 |
|
- type: recall_at_1000 |
|
value: 64.078 |
|
- type: recall_at_3 |
|
value: 22.64 |
|
- type: recall_at_5 |
|
value: 25.861 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 66.3596 |
|
- type: ap |
|
value: 60.91255566890042 |
|
- type: f1 |
|
value: 66.1523853101571 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: c5a29a104738b98a9e76336939199e264163d4a0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.046 |
|
- type: map_at_10 |
|
value: 10.651 |
|
- type: map_at_100 |
|
value: 11.505 |
|
- type: map_at_1000 |
|
value: 11.61 |
|
- type: map_at_3 |
|
value: 8.959999999999999 |
|
- type: map_at_5 |
|
value: 9.843 |
|
- type: mrr_at_1 |
|
value: 6.261 |
|
- type: mrr_at_10 |
|
value: 10.934000000000001 |
|
- type: mrr_at_100 |
|
value: 11.795 |
|
- type: mrr_at_1000 |
|
value: 11.897 |
|
- type: mrr_at_3 |
|
value: 9.205 |
|
- type: mrr_at_5 |
|
value: 10.112 |
|
- type: ndcg_at_1 |
|
value: 6.246 |
|
- type: ndcg_at_10 |
|
value: 13.559 |
|
- type: ndcg_at_100 |
|
value: 18.291 |
|
- type: ndcg_at_1000 |
|
value: 21.503 |
|
- type: ndcg_at_3 |
|
value: 10.012 |
|
- type: ndcg_at_5 |
|
value: 11.605 |
|
- type: precision_at_1 |
|
value: 6.246 |
|
- type: precision_at_10 |
|
value: 2.357 |
|
- type: precision_at_100 |
|
value: 0.481 |
|
- type: precision_at_1000 |
|
value: 0.076 |
|
- type: precision_at_3 |
|
value: 4.436 |
|
- type: precision_at_5 |
|
value: 3.4610000000000003 |
|
- type: recall_at_1 |
|
value: 6.046 |
|
- type: recall_at_10 |
|
value: 22.621 |
|
- type: recall_at_100 |
|
value: 45.829 |
|
- type: recall_at_1000 |
|
value: 71.735 |
|
- type: recall_at_3 |
|
value: 12.826 |
|
- type: recall_at_5 |
|
value: 16.658 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 88.10989512083903 |
|
- type: f1 |
|
value: 87.64152476625755 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 57.87505699954399 |
|
- type: f1 |
|
value: 40.00822983589675 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 63.21788836583726 |
|
- type: f1 |
|
value: 61.64373490787742 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 72.50168123739071 |
|
- type: f1 |
|
value: 71.25047204682383 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 29.30894849088611 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 27.369395178404975 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 30.225892079841838 |
|
- type: mrr |
|
value: 31.239259568046673 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.115 |
|
- type: map_at_10 |
|
value: 7.8149999999999995 |
|
- type: map_at_100 |
|
value: 9.962 |
|
- type: map_at_1000 |
|
value: 11.253 |
|
- type: map_at_3 |
|
value: 6.014 |
|
- type: map_at_5 |
|
value: 6.874 |
|
- type: mrr_at_1 |
|
value: 32.198 |
|
- type: mrr_at_10 |
|
value: 42.025 |
|
- type: mrr_at_100 |
|
value: 42.875 |
|
- type: mrr_at_1000 |
|
value: 42.925999999999995 |
|
- type: mrr_at_3 |
|
value: 39.318999999999996 |
|
- type: mrr_at_5 |
|
value: 41.192 |
|
- type: ndcg_at_1 |
|
value: 30.186 |
|
- type: ndcg_at_10 |
|
value: 24.194 |
|
- type: ndcg_at_100 |
|
value: 23.426 |
|
- type: ndcg_at_1000 |
|
value: 32.955 |
|
- type: ndcg_at_3 |
|
value: 27.528999999999996 |
|
- type: ndcg_at_5 |
|
value: 26.295 |
|
- type: precision_at_1 |
|
value: 32.198 |
|
- type: precision_at_10 |
|
value: 17.740000000000002 |
|
- type: precision_at_100 |
|
value: 6.433 |
|
- type: precision_at_1000 |
|
value: 1.9609999999999999 |
|
- type: precision_at_3 |
|
value: 26.006 |
|
- type: precision_at_5 |
|
value: 22.786 |
|
- type: recall_at_1 |
|
value: 4.115 |
|
- type: recall_at_10 |
|
value: 11.774 |
|
- type: recall_at_100 |
|
value: 26.046999999999997 |
|
- type: recall_at_1000 |
|
value: 60.171 |
|
- type: recall_at_3 |
|
value: 6.935 |
|
- type: recall_at_5 |
|
value: 8.958 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 |
|
metrics: |
|
- type: map_at_1 |
|
value: 7.959 |
|
- type: map_at_10 |
|
value: 13.771 |
|
- type: map_at_100 |
|
value: 14.954 |
|
- type: map_at_1000 |
|
value: 15.061 |
|
- type: map_at_3 |
|
value: 11.548 |
|
- type: map_at_5 |
|
value: 12.686 |
|
- type: mrr_at_1 |
|
value: 9.067 |
|
- type: mrr_at_10 |
|
value: 15.262 |
|
- type: mrr_at_100 |
|
value: 16.358 |
|
- type: mrr_at_1000 |
|
value: 16.447 |
|
- type: mrr_at_3 |
|
value: 12.895999999999999 |
|
- type: mrr_at_5 |
|
value: 14.13 |
|
- type: ndcg_at_1 |
|
value: 9.067 |
|
- type: ndcg_at_10 |
|
value: 17.711 |
|
- type: ndcg_at_100 |
|
value: 23.771 |
|
- type: ndcg_at_1000 |
|
value: 26.695 |
|
- type: ndcg_at_3 |
|
value: 13.04 |
|
- type: ndcg_at_5 |
|
value: 15.098 |
|
- type: precision_at_1 |
|
value: 9.067 |
|
- type: precision_at_10 |
|
value: 3.36 |
|
- type: precision_at_100 |
|
value: 0.6819999999999999 |
|
- type: precision_at_1000 |
|
value: 0.096 |
|
- type: precision_at_3 |
|
value: 6.132 |
|
- type: precision_at_5 |
|
value: 4.832 |
|
- type: recall_at_1 |
|
value: 7.959 |
|
- type: recall_at_10 |
|
value: 28.529 |
|
- type: recall_at_100 |
|
value: 56.747 |
|
- type: recall_at_1000 |
|
value: 79.251 |
|
- type: recall_at_3 |
|
value: 16.066 |
|
- type: recall_at_5 |
|
value: 20.836 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 63.468999999999994 |
|
- type: map_at_10 |
|
value: 76.363 |
|
- type: map_at_100 |
|
value: 77.13799999999999 |
|
- type: map_at_1000 |
|
value: 77.169 |
|
- type: map_at_3 |
|
value: 73.303 |
|
- type: map_at_5 |
|
value: 75.139 |
|
- type: mrr_at_1 |
|
value: 73.09 |
|
- type: mrr_at_10 |
|
value: 80.379 |
|
- type: mrr_at_100 |
|
value: 80.632 |
|
- type: mrr_at_1000 |
|
value: 80.637 |
|
- type: mrr_at_3 |
|
value: 78.9 |
|
- type: mrr_at_5 |
|
value: 79.83200000000001 |
|
- type: ndcg_at_1 |
|
value: 73.14 |
|
- type: ndcg_at_10 |
|
value: 80.99 |
|
- type: ndcg_at_100 |
|
value: 83.086 |
|
- type: ndcg_at_1000 |
|
value: 83.421 |
|
- type: ndcg_at_3 |
|
value: 77.263 |
|
- type: ndcg_at_5 |
|
value: 79.175 |
|
- type: precision_at_1 |
|
value: 73.14 |
|
- type: precision_at_10 |
|
value: 12.324 |
|
- type: precision_at_100 |
|
value: 1.469 |
|
- type: precision_at_1000 |
|
value: 0.155 |
|
- type: precision_at_3 |
|
value: 33.562999999999995 |
|
- type: precision_at_5 |
|
value: 22.259999999999998 |
|
- type: recall_at_1 |
|
value: 63.468999999999994 |
|
- type: recall_at_10 |
|
value: 89.997 |
|
- type: recall_at_100 |
|
value: 97.87 |
|
- type: recall_at_1000 |
|
value: 99.714 |
|
- type: recall_at_3 |
|
value: 79.45100000000001 |
|
- type: recall_at_5 |
|
value: 84.652 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 40.96803215988553 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 44.76290891260663 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.118 |
|
- type: map_at_10 |
|
value: 7.127999999999999 |
|
- type: map_at_100 |
|
value: 8.551 |
|
- type: map_at_1000 |
|
value: 8.819 |
|
- type: map_at_3 |
|
value: 5.269 |
|
- type: map_at_5 |
|
value: 6.136 |
|
- type: mrr_at_1 |
|
value: 15.299999999999999 |
|
- type: mrr_at_10 |
|
value: 23.138 |
|
- type: mrr_at_100 |
|
value: 24.354 |
|
- type: mrr_at_1000 |
|
value: 24.449 |
|
- type: mrr_at_3 |
|
value: 20.349999999999998 |
|
- type: mrr_at_5 |
|
value: 21.875 |
|
- type: ndcg_at_1 |
|
value: 15.299999999999999 |
|
- type: ndcg_at_10 |
|
value: 12.7 |
|
- type: ndcg_at_100 |
|
value: 19.177 |
|
- type: ndcg_at_1000 |
|
value: 24.578 |
|
- type: ndcg_at_3 |
|
value: 12.076 |
|
- type: ndcg_at_5 |
|
value: 10.446 |
|
- type: precision_at_1 |
|
value: 15.299999999999999 |
|
- type: precision_at_10 |
|
value: 6.5600000000000005 |
|
- type: precision_at_100 |
|
value: 1.598 |
|
- type: precision_at_1000 |
|
value: 0.29 |
|
- type: precision_at_3 |
|
value: 11.200000000000001 |
|
- type: precision_at_5 |
|
value: 9.04 |
|
- type: recall_at_1 |
|
value: 3.118 |
|
- type: recall_at_10 |
|
value: 13.297999999999998 |
|
- type: recall_at_100 |
|
value: 32.427 |
|
- type: recall_at_1000 |
|
value: 58.885 |
|
- type: recall_at_3 |
|
value: 6.827999999999999 |
|
- type: recall_at_5 |
|
value: 9.173 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 76.43930654983161 |
|
- type: cos_sim_spearman |
|
value: 64.67852678771158 |
|
- type: euclidean_pearson |
|
value: 71.3061879333313 |
|
- type: euclidean_spearman |
|
value: 64.67866157468679 |
|
- type: manhattan_pearson |
|
value: 69.51075530995897 |
|
- type: manhattan_spearman |
|
value: 63.82662313156165 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 73.65362279607574 |
|
- type: cos_sim_spearman |
|
value: 64.97375169407779 |
|
- type: euclidean_pearson |
|
value: 70.50786081642359 |
|
- type: euclidean_spearman |
|
value: 64.97517508701773 |
|
- type: manhattan_pearson |
|
value: 69.51012145127774 |
|
- type: manhattan_spearman |
|
value: 64.81905653953442 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 75.02560272667618 |
|
- type: cos_sim_spearman |
|
value: 76.85285173868739 |
|
- type: euclidean_pearson |
|
value: 76.51659956643294 |
|
- type: euclidean_spearman |
|
value: 76.85288956038684 |
|
- type: manhattan_pearson |
|
value: 77.15391795740369 |
|
- type: manhattan_spearman |
|
value: 77.55482712197826 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 75.88413419187634 |
|
- type: cos_sim_spearman |
|
value: 71.81224584659623 |
|
- type: euclidean_pearson |
|
value: 75.30536428389317 |
|
- type: euclidean_spearman |
|
value: 71.81223615883246 |
|
- type: manhattan_pearson |
|
value: 74.49619807839628 |
|
- type: manhattan_spearman |
|
value: 71.45719514379861 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 78.17595987680231 |
|
- type: cos_sim_spearman |
|
value: 79.69244239201231 |
|
- type: euclidean_pearson |
|
value: 79.76482765319105 |
|
- type: euclidean_spearman |
|
value: 79.69243514352287 |
|
- type: manhattan_pearson |
|
value: 78.95938461387554 |
|
- type: manhattan_spearman |
|
value: 79.12374541215064 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 74.19691031147148 |
|
- type: cos_sim_spearman |
|
value: 75.6670693739496 |
|
- type: euclidean_pearson |
|
value: 75.83043624320031 |
|
- type: euclidean_spearman |
|
value: 75.66761977438898 |
|
- type: manhattan_pearson |
|
value: 75.77299348357039 |
|
- type: manhattan_spearman |
|
value: 75.55171542186395 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS17 (en-en) |
|
config: en-en |
|
split: test |
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 81.6132447770844 |
|
- type: cos_sim_spearman |
|
value: 82.86761864975185 |
|
- type: euclidean_pearson |
|
value: 82.79978751053565 |
|
- type: euclidean_spearman |
|
value: 82.8684934691074 |
|
- type: manhattan_pearson |
|
value: 82.34063577443474 |
|
- type: manhattan_spearman |
|
value: 82.44500370747792 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS22 (en) |
|
config: en |
|
split: test |
|
revision: eea2b4fe26a775864c896887d910b76a8098ad3f |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 57.122789236461344 |
|
- type: cos_sim_spearman |
|
value: 59.32471385840999 |
|
- type: euclidean_pearson |
|
value: 60.436929454793386 |
|
- type: euclidean_spearman |
|
value: 59.32471385840999 |
|
- type: manhattan_pearson |
|
value: 62.55817551321529 |
|
- type: manhattan_spearman |
|
value: 60.72936294004832 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 75.51421130475329 |
|
- type: cos_sim_spearman |
|
value: 74.18767551459518 |
|
- type: euclidean_pearson |
|
value: 76.30778235018026 |
|
- type: euclidean_spearman |
|
value: 74.18769398451926 |
|
- type: manhattan_pearson |
|
value: 75.98020747073735 |
|
- type: manhattan_spearman |
|
value: 74.1108346690318 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 74.72194768168208 |
|
- type: mrr |
|
value: 91.43610293120096 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 30.528 |
|
- type: map_at_10 |
|
value: 39.351 |
|
- type: map_at_100 |
|
value: 40.461000000000006 |
|
- type: map_at_1000 |
|
value: 40.535 |
|
- type: map_at_3 |
|
value: 36.741 |
|
- type: map_at_5 |
|
value: 38.588 |
|
- type: mrr_at_1 |
|
value: 32.667 |
|
- type: mrr_at_10 |
|
value: 41.123 |
|
- type: mrr_at_100 |
|
value: 42.135 |
|
- type: mrr_at_1000 |
|
value: 42.197 |
|
- type: mrr_at_3 |
|
value: 38.944 |
|
- type: mrr_at_5 |
|
value: 40.528 |
|
- type: ndcg_at_1 |
|
value: 32.667 |
|
- type: ndcg_at_10 |
|
value: 44.06 |
|
- type: ndcg_at_100 |
|
value: 49.599 |
|
- type: ndcg_at_1000 |
|
value: 51.573 |
|
- type: ndcg_at_3 |
|
value: 39.373999999999995 |
|
- type: ndcg_at_5 |
|
value: 42.393 |
|
- type: precision_at_1 |
|
value: 32.667 |
|
- type: precision_at_10 |
|
value: 6.267 |
|
- type: precision_at_100 |
|
value: 0.9329999999999999 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 16.111 |
|
- type: precision_at_5 |
|
value: 11.267000000000001 |
|
- type: recall_at_1 |
|
value: 30.528 |
|
- type: recall_at_10 |
|
value: 56.77799999999999 |
|
- type: recall_at_100 |
|
value: 82.73899999999999 |
|
- type: recall_at_1000 |
|
value: 98.2 |
|
- type: recall_at_3 |
|
value: 44.806000000000004 |
|
- type: recall_at_5 |
|
value: 52.0 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: None |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.71386138613862 |
|
- type: cos_sim_ap |
|
value: 91.49236791906557 |
|
- type: cos_sim_f1 |
|
value: 85.24262131065534 |
|
- type: cos_sim_precision |
|
value: 85.28528528528528 |
|
- type: cos_sim_recall |
|
value: 85.2 |
|
- type: dot_accuracy |
|
value: 99.71386138613862 |
|
- type: dot_ap |
|
value: 91.49236791906557 |
|
- type: dot_f1 |
|
value: 85.24262131065534 |
|
- type: dot_precision |
|
value: 85.28528528528528 |
|
- type: dot_recall |
|
value: 85.2 |
|
- type: euclidean_accuracy |
|
value: 99.71386138613862 |
|
- type: euclidean_ap |
|
value: 91.49236791906557 |
|
- type: euclidean_f1 |
|
value: 85.24262131065534 |
|
- type: euclidean_precision |
|
value: 85.28528528528528 |
|
- type: euclidean_recall |
|
value: 85.2 |
|
- type: manhattan_accuracy |
|
value: 99.74356435643564 |
|
- type: manhattan_ap |
|
value: 92.92378153295812 |
|
- type: manhattan_f1 |
|
value: 86.91358024691358 |
|
- type: manhattan_precision |
|
value: 85.85365853658537 |
|
- type: manhattan_recall |
|
value: 88.0 |
|
- type: max_accuracy |
|
value: 99.74356435643564 |
|
- type: max_ap |
|
value: 92.92378153295812 |
|
- type: max_f1 |
|
value: 86.91358024691358 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 46.49650440995953 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 30.729040984470192 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 42.340961146720595 |
|
- type: mrr |
|
value: 42.78318903318903 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: None |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 31.518691188419957 |
|
- type: cos_sim_spearman |
|
value: 31.803967934264456 |
|
- type: dot_pearson |
|
value: 31.518690928671965 |
|
- type: dot_spearman |
|
value: 31.787757429064612 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.146 |
|
- type: map_at_10 |
|
value: 0.9169999999999999 |
|
- type: map_at_100 |
|
value: 4.661 |
|
- type: map_at_1000 |
|
value: 11.487 |
|
- type: map_at_3 |
|
value: 0.332 |
|
- type: map_at_5 |
|
value: 0.503 |
|
- type: mrr_at_1 |
|
value: 54.0 |
|
- type: mrr_at_10 |
|
value: 66.813 |
|
- type: mrr_at_100 |
|
value: 67.338 |
|
- type: mrr_at_1000 |
|
value: 67.338 |
|
- type: mrr_at_3 |
|
value: 64.333 |
|
- type: mrr_at_5 |
|
value: 65.833 |
|
- type: ndcg_at_1 |
|
value: 50.0 |
|
- type: ndcg_at_10 |
|
value: 45.345 |
|
- type: ndcg_at_100 |
|
value: 34.175 |
|
- type: ndcg_at_1000 |
|
value: 31.346 |
|
- type: ndcg_at_3 |
|
value: 47.038999999999994 |
|
- type: ndcg_at_5 |
|
value: 47.219 |
|
- type: precision_at_1 |
|
value: 56.00000000000001 |
|
- type: precision_at_10 |
|
value: 50.0 |
|
- type: precision_at_100 |
|
value: 36.24 |
|
- type: precision_at_1000 |
|
value: 15.129999999999999 |
|
- type: precision_at_3 |
|
value: 52.666999999999994 |
|
- type: precision_at_5 |
|
value: 52.0 |
|
- type: recall_at_1 |
|
value: 0.146 |
|
- type: recall_at_10 |
|
value: 1.216 |
|
- type: recall_at_100 |
|
value: 7.892 |
|
- type: recall_at_1000 |
|
value: 30.56 |
|
- type: recall_at_3 |
|
value: 0.379 |
|
- type: recall_at_5 |
|
value: 0.61 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
metrics: |
|
- type: map_at_1 |
|
value: 2.0140000000000002 |
|
- type: map_at_10 |
|
value: 6.574000000000001 |
|
- type: map_at_100 |
|
value: 12.025 |
|
- type: map_at_1000 |
|
value: 13.649000000000001 |
|
- type: map_at_3 |
|
value: 3.5450000000000004 |
|
- type: map_at_5 |
|
value: 4.903 |
|
- type: mrr_at_1 |
|
value: 28.571 |
|
- type: mrr_at_10 |
|
value: 40.943000000000005 |
|
- type: mrr_at_100 |
|
value: 42.535000000000004 |
|
- type: mrr_at_1000 |
|
value: 42.535000000000004 |
|
- type: mrr_at_3 |
|
value: 37.075 |
|
- type: mrr_at_5 |
|
value: 38.81 |
|
- type: ndcg_at_1 |
|
value: 27.551 |
|
- type: ndcg_at_10 |
|
value: 19.471 |
|
- type: ndcg_at_100 |
|
value: 32.823 |
|
- type: ndcg_at_1000 |
|
value: 44.644 |
|
- type: ndcg_at_3 |
|
value: 21.255 |
|
- type: ndcg_at_5 |
|
value: 21.438 |
|
- type: precision_at_1 |
|
value: 28.571 |
|
- type: precision_at_10 |
|
value: 17.347 |
|
- type: precision_at_100 |
|
value: 7.5920000000000005 |
|
- type: precision_at_1000 |
|
value: 1.508 |
|
- type: precision_at_3 |
|
value: 21.088 |
|
- type: precision_at_5 |
|
value: 21.633 |
|
- type: recall_at_1 |
|
value: 2.0140000000000002 |
|
- type: recall_at_10 |
|
value: 11.748 |
|
- type: recall_at_100 |
|
value: 46.436 |
|
- type: recall_at_1000 |
|
value: 82.16799999999999 |
|
- type: recall_at_3 |
|
value: 4.4990000000000006 |
|
- type: recall_at_5 |
|
value: 7.423 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 70.5234 |
|
- type: ap |
|
value: 14.633576385764599 |
|
- type: f1 |
|
value: 54.63581892147792 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 56.57894736842105 |
|
- type: f1 |
|
value: 56.73891238797681 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 38.4061559598505 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: None |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 82.92900995410383 |
|
- type: cos_sim_ap |
|
value: 62.43405323490786 |
|
- type: cos_sim_f1 |
|
value: 60.06760019314341 |
|
- type: cos_sim_precision |
|
value: 55.36270582999555 |
|
- type: cos_sim_recall |
|
value: 65.64643799472294 |
|
- type: dot_accuracy |
|
value: 82.92900995410383 |
|
- type: dot_ap |
|
value: 62.43405323490786 |
|
- type: dot_f1 |
|
value: 60.06760019314341 |
|
- type: dot_precision |
|
value: 55.36270582999555 |
|
- type: dot_recall |
|
value: 65.64643799472294 |
|
- type: euclidean_accuracy |
|
value: 82.92900995410383 |
|
- type: euclidean_ap |
|
value: 62.43405323490786 |
|
- type: euclidean_f1 |
|
value: 60.06760019314341 |
|
- type: euclidean_precision |
|
value: 55.36270582999555 |
|
- type: euclidean_recall |
|
value: 65.64643799472294 |
|
- type: manhattan_accuracy |
|
value: 82.14221851344102 |
|
- type: manhattan_ap |
|
value: 60.311627003336824 |
|
- type: manhattan_f1 |
|
value: 58.30150527971243 |
|
- type: manhattan_precision |
|
value: 50.762910798122064 |
|
- type: manhattan_recall |
|
value: 68.46965699208444 |
|
- type: max_accuracy |
|
value: 82.92900995410383 |
|
- type: max_ap |
|
value: 62.43405323490786 |
|
- type: max_f1 |
|
value: 60.06760019314341 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: None |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.08813598789149 |
|
- type: cos_sim_ap |
|
value: 82.16719168081325 |
|
- type: cos_sim_f1 |
|
value: 74.65280302479458 |
|
- type: cos_sim_precision |
|
value: 70.71910731505717 |
|
- type: cos_sim_recall |
|
value: 79.04989220819218 |
|
- type: dot_accuracy |
|
value: 87.08813598789149 |
|
- type: dot_ap |
|
value: 82.16719168228374 |
|
- type: dot_f1 |
|
value: 74.65280302479458 |
|
- type: dot_precision |
|
value: 70.71910731505717 |
|
- type: dot_recall |
|
value: 79.04989220819218 |
|
- type: euclidean_accuracy |
|
value: 87.08813598789149 |
|
- type: euclidean_ap |
|
value: 82.16720008129118 |
|
- type: euclidean_f1 |
|
value: 74.65280302479458 |
|
- type: euclidean_precision |
|
value: 70.71910731505717 |
|
- type: euclidean_recall |
|
value: 79.04989220819218 |
|
- type: manhattan_accuracy |
|
value: 87.16963558039352 |
|
- type: manhattan_ap |
|
value: 82.17943816238372 |
|
- type: manhattan_f1 |
|
value: 74.91245171305823 |
|
- type: manhattan_precision |
|
value: 70.52545714091497 |
|
- type: manhattan_recall |
|
value: 79.88142901139513 |
|
- type: max_accuracy |
|
value: 87.16963558039352 |
|
- type: max_ap |
|
value: 82.17943816238372 |
|
- type: max_f1 |
|
value: 74.91245171305823 |
|
--- |
