|
--- |
|
tags: |
|
- mteb |
|
model-index: |
|
- name: gte-base-en-v1.5_embs_nofiltering_sortlenTrue_phrase2sent_512_15epoch__adam0.001_accum1_best_epoch_2611200_bs128_result |
|
results: |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 75.02985074626866 |
|
- type: ap |
|
value: 38.2391132433526 |
|
- type: f1 |
|
value: 69.06974168824816 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 74.00564999999999 |
|
- type: ap |
|
value: 68.12255640587608 |
|
- type: f1 |
|
value: 73.88644324572483 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 39.46000000000001 |
|
- type: f1 |
|
value: 38.77579430134605 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB ArguAna |
|
config: default |
|
split: test |
|
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.337 |
|
- type: map_at_10 |
|
value: 36.104 |
|
- type: map_at_100 |
|
value: 37.363 |
|
- type: map_at_1000 |
|
value: 37.38 |
|
- type: map_at_3 |
|
value: 31.46 |
|
- type: map_at_5 |
|
value: 33.861000000000004 |
|
- type: mrr_at_1 |
|
value: 22.119 |
|
- type: mrr_at_10 |
|
value: 36.379 |
|
- type: mrr_at_100 |
|
value: 37.644 |
|
- type: mrr_at_1000 |
|
value: 37.662 |
|
- type: mrr_at_3 |
|
value: 31.745 |
|
- type: mrr_at_5 |
|
value: 34.12 |
|
- type: ndcg_at_1 |
|
value: 21.337 |
|
- type: ndcg_at_10 |
|
value: 44.557 |
|
- type: ndcg_at_100 |
|
value: 50.072 |
|
- type: ndcg_at_1000 |
|
value: 50.499 |
|
- type: ndcg_at_3 |
|
value: 34.794000000000004 |
|
- type: ndcg_at_5 |
|
value: 39.125 |
|
- type: precision_at_1 |
|
value: 21.337 |
|
- type: precision_at_10 |
|
value: 7.176 |
|
- type: precision_at_100 |
|
value: 0.962 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: precision_at_3 |
|
value: 14.817 |
|
- type: precision_at_5 |
|
value: 10.996 |
|
- type: recall_at_1 |
|
value: 21.337 |
|
- type: recall_at_10 |
|
value: 71.764 |
|
- type: recall_at_100 |
|
value: 96.23 |
|
- type: recall_at_1000 |
|
value: 99.502 |
|
- type: recall_at_3 |
|
value: 44.452000000000005 |
|
- type: recall_at_5 |
|
value: 54.979 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 38.36878876355172 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 28.19433994044647 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 54.16001797554904 |
|
- type: mrr |
|
value: 67.81130457723256 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 82.1086837226076 |
|
- type: cos_sim_spearman |
|
value: 80.60966807127197 |
|
- type: euclidean_pearson |
|
value: 80.73535719827952 |
|
- type: euclidean_spearman |
|
value: 80.60966807127197 |
|
- type: manhattan_pearson |
|
value: 79.10544477221981 |
|
- type: manhattan_spearman |
|
value: 79.59759681777079 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 75.1525974025974 |
|
- type: f1 |
|
value: 74.45181803662257 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 34.568758810321945 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 25.645931603960374 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: f46a197baaae43b4f621051089b82a364682dfeb |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.36 |
|
- type: map_at_10 |
|
value: 29.034 |
|
- type: map_at_100 |
|
value: 30.197000000000003 |
|
- type: map_at_1000 |
|
value: 30.36 |
|
- type: map_at_3 |
|
value: 26.334999999999997 |
|
- type: map_at_5 |
|
value: 27.894999999999996 |
|
- type: mrr_at_1 |
|
value: 27.325 |
|
- type: mrr_at_10 |
|
value: 34.975 |
|
- type: mrr_at_100 |
|
value: 35.787 |
|
- type: mrr_at_1000 |
|
value: 35.864000000000004 |
|
- type: mrr_at_3 |
|
value: 32.761 |
|
- type: mrr_at_5 |
|
value: 34.083999999999996 |
|
- type: ndcg_at_1 |
|
value: 27.325 |
|
- type: ndcg_at_10 |
|
value: 34.302 |
|
- type: ndcg_at_100 |
|
value: 39.35 |
|
- type: ndcg_at_1000 |
|
value: 42.516999999999996 |
|
- type: ndcg_at_3 |
|
value: 30.336000000000002 |
|
- type: ndcg_at_5 |
|
value: 32.234 |
|
- type: precision_at_1 |
|
value: 27.325 |
|
- type: precision_at_10 |
|
value: 6.694999999999999 |
|
- type: precision_at_100 |
|
value: 1.157 |
|
- type: precision_at_1000 |
|
value: 0.17500000000000002 |
|
- type: precision_at_3 |
|
value: 14.926 |
|
- type: precision_at_5 |
|
value: 11.044 |
|
- type: recall_at_1 |
|
value: 21.36 |
|
- type: recall_at_10 |
|
value: 43.64 |
|
- type: recall_at_100 |
|
value: 66.219 |
|
- type: recall_at_1000 |
|
value: 87.675 |
|
- type: recall_at_3 |
|
value: 31.34 |
|
- type: recall_at_5 |
|
value: 36.896 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.008 |
|
- type: map_at_10 |
|
value: 25.762 |
|
- type: map_at_100 |
|
value: 26.819 |
|
- type: map_at_1000 |
|
value: 26.944000000000003 |
|
- type: map_at_3 |
|
value: 23.688000000000002 |
|
- type: map_at_5 |
|
value: 24.844 |
|
- type: mrr_at_1 |
|
value: 24.204 |
|
- type: mrr_at_10 |
|
value: 30.325999999999997 |
|
- type: mrr_at_100 |
|
value: 31.151 |
|
- type: mrr_at_1000 |
|
value: 31.22 |
|
- type: mrr_at_3 |
|
value: 28.311999999999998 |
|
- type: mrr_at_5 |
|
value: 29.424 |
|
- type: ndcg_at_1 |
|
value: 24.204 |
|
- type: ndcg_at_10 |
|
value: 30.020999999999997 |
|
- type: ndcg_at_100 |
|
value: 34.632000000000005 |
|
- type: ndcg_at_1000 |
|
value: 37.462 |
|
- type: ndcg_at_3 |
|
value: 26.607999999999997 |
|
- type: ndcg_at_5 |
|
value: 28.105999999999998 |
|
- type: precision_at_1 |
|
value: 24.204 |
|
- type: precision_at_10 |
|
value: 5.624 |
|
- type: precision_at_100 |
|
value: 1.012 |
|
- type: precision_at_1000 |
|
value: 0.151 |
|
- type: precision_at_3 |
|
value: 12.887 |
|
- type: precision_at_5 |
|
value: 9.159 |
|
- type: recall_at_1 |
|
value: 19.008 |
|
- type: recall_at_10 |
|
value: 38.156 |
|
- type: recall_at_100 |
|
value: 58.158 |
|
- type: recall_at_1000 |
|
value: 77.471 |
|
- type: recall_at_3 |
|
value: 27.964 |
|
- type: recall_at_5 |
|
value: 32.221 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
metrics: |
|
- type: map_at_1 |
|
value: 27.833999999999996 |
|
- type: map_at_10 |
|
value: 36.896 |
|
- type: map_at_100 |
|
value: 38.002 |
|
- type: map_at_1000 |
|
value: 38.088 |
|
- type: map_at_3 |
|
value: 34.283 |
|
- type: map_at_5 |
|
value: 35.754999999999995 |
|
- type: mrr_at_1 |
|
value: 32.351 |
|
- type: mrr_at_10 |
|
value: 40.275 |
|
- type: mrr_at_100 |
|
value: 41.152 |
|
- type: mrr_at_1000 |
|
value: 41.204 |
|
- type: mrr_at_3 |
|
value: 37.973 |
|
- type: mrr_at_5 |
|
value: 39.242 |
|
- type: ndcg_at_1 |
|
value: 32.351 |
|
- type: ndcg_at_10 |
|
value: 41.867 |
|
- type: ndcg_at_100 |
|
value: 47.073 |
|
- type: ndcg_at_1000 |
|
value: 49.125 |
|
- type: ndcg_at_3 |
|
value: 37.129 |
|
- type: ndcg_at_5 |
|
value: 39.361000000000004 |
|
- type: precision_at_1 |
|
value: 32.351 |
|
- type: precision_at_10 |
|
value: 6.765000000000001 |
|
- type: precision_at_100 |
|
value: 1.0330000000000001 |
|
- type: precision_at_1000 |
|
value: 0.129 |
|
- type: precision_at_3 |
|
value: 16.489 |
|
- type: precision_at_5 |
|
value: 11.398 |
|
- type: recall_at_1 |
|
value: 27.833999999999996 |
|
- type: recall_at_10 |
|
value: 53.668000000000006 |
|
- type: recall_at_100 |
|
value: 77.114 |
|
- type: recall_at_1000 |
|
value: 92.131 |
|
- type: recall_at_3 |
|
value: 40.745 |
|
- type: recall_at_5 |
|
value: 46.375 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.863 |
|
- type: map_at_10 |
|
value: 17.881 |
|
- type: map_at_100 |
|
value: 18.742 |
|
- type: map_at_1000 |
|
value: 18.86 |
|
- type: map_at_3 |
|
value: 16.485 |
|
- type: map_at_5 |
|
value: 17.262 |
|
- type: mrr_at_1 |
|
value: 13.898 |
|
- type: mrr_at_10 |
|
value: 19.152 |
|
- type: mrr_at_100 |
|
value: 20.007 |
|
- type: mrr_at_1000 |
|
value: 20.116 |
|
- type: mrr_at_3 |
|
value: 17.759 |
|
- type: mrr_at_5 |
|
value: 18.544 |
|
- type: ndcg_at_1 |
|
value: 13.898 |
|
- type: ndcg_at_10 |
|
value: 20.818 |
|
- type: ndcg_at_100 |
|
value: 25.342 |
|
- type: ndcg_at_1000 |
|
value: 28.895 |
|
- type: ndcg_at_3 |
|
value: 18.034 |
|
- type: ndcg_at_5 |
|
value: 19.367 |
|
- type: precision_at_1 |
|
value: 13.898 |
|
- type: precision_at_10 |
|
value: 3.254 |
|
- type: precision_at_100 |
|
value: 0.582 |
|
- type: precision_at_1000 |
|
value: 0.094 |
|
- type: precision_at_3 |
|
value: 7.8340000000000005 |
|
- type: precision_at_5 |
|
value: 5.446 |
|
- type: recall_at_1 |
|
value: 12.863 |
|
- type: recall_at_10 |
|
value: 28.636 |
|
- type: recall_at_100 |
|
value: 50.112 |
|
- type: recall_at_1000 |
|
value: 77.828 |
|
- type: recall_at_3 |
|
value: 21.087 |
|
- type: recall_at_5 |
|
value: 24.307000000000002 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
|
metrics: |
|
- type: map_at_1 |
|
value: 7.8020000000000005 |
|
- type: map_at_10 |
|
value: 11.673 |
|
- type: map_at_100 |
|
value: 12.462 |
|
- type: map_at_1000 |
|
value: 12.589 |
|
- type: map_at_3 |
|
value: 10.035 |
|
- type: map_at_5 |
|
value: 10.699 |
|
- type: mrr_at_1 |
|
value: 9.826 |
|
- type: mrr_at_10 |
|
value: 14.248 |
|
- type: mrr_at_100 |
|
value: 15.057 |
|
- type: mrr_at_1000 |
|
value: 15.156 |
|
- type: mrr_at_3 |
|
value: 12.5 |
|
- type: mrr_at_5 |
|
value: 13.221 |
|
- type: ndcg_at_1 |
|
value: 9.826 |
|
- type: ndcg_at_10 |
|
value: 14.818999999999999 |
|
- type: ndcg_at_100 |
|
value: 19.309 |
|
- type: ndcg_at_1000 |
|
value: 22.954 |
|
- type: ndcg_at_3 |
|
value: 11.535 |
|
- type: ndcg_at_5 |
|
value: 12.577 |
|
- type: precision_at_1 |
|
value: 9.826 |
|
- type: precision_at_10 |
|
value: 2.923 |
|
- type: precision_at_100 |
|
value: 0.618 |
|
- type: precision_at_1000 |
|
value: 0.105 |
|
- type: precision_at_3 |
|
value: 5.5969999999999995 |
|
- type: precision_at_5 |
|
value: 4.08 |
|
- type: recall_at_1 |
|
value: 7.8020000000000005 |
|
- type: recall_at_10 |
|
value: 22.141 |
|
- type: recall_at_100 |
|
value: 42.653999999999996 |
|
- type: recall_at_1000 |
|
value: 70.02199999999999 |
|
- type: recall_at_3 |
|
value: 13.020000000000001 |
|
- type: recall_at_5 |
|
value: 15.645999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.532 |
|
- type: map_at_10 |
|
value: 24.692 |
|
- type: map_at_100 |
|
value: 26.023000000000003 |
|
- type: map_at_1000 |
|
value: 26.165 |
|
- type: map_at_3 |
|
value: 22.522000000000002 |
|
- type: map_at_5 |
|
value: 23.694000000000003 |
|
- type: mrr_at_1 |
|
value: 22.618 |
|
- type: mrr_at_10 |
|
value: 29.334 |
|
- type: mrr_at_100 |
|
value: 30.348999999999997 |
|
- type: mrr_at_1000 |
|
value: 30.435000000000002 |
|
- type: mrr_at_3 |
|
value: 26.997 |
|
- type: mrr_at_5 |
|
value: 28.282 |
|
- type: ndcg_at_1 |
|
value: 22.618 |
|
- type: ndcg_at_10 |
|
value: 29.188 |
|
- type: ndcg_at_100 |
|
value: 35.213 |
|
- type: ndcg_at_1000 |
|
value: 38.471 |
|
- type: ndcg_at_3 |
|
value: 25.313999999999997 |
|
- type: ndcg_at_5 |
|
value: 27.057 |
|
- type: precision_at_1 |
|
value: 22.618 |
|
- type: precision_at_10 |
|
value: 5.38 |
|
- type: precision_at_100 |
|
value: 1.0 |
|
- type: precision_at_1000 |
|
value: 0.149 |
|
- type: precision_at_3 |
|
value: 11.741999999999999 |
|
- type: precision_at_5 |
|
value: 8.662 |
|
- type: recall_at_1 |
|
value: 18.532 |
|
- type: recall_at_10 |
|
value: 38.164 |
|
- type: recall_at_100 |
|
value: 64.197 |
|
- type: recall_at_1000 |
|
value: 86.75399999999999 |
|
- type: recall_at_3 |
|
value: 27.262999999999998 |
|
- type: recall_at_5 |
|
value: 31.651 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
metrics: |
|
- type: map_at_1 |
|
value: 15.257000000000001 |
|
- type: map_at_10 |
|
value: 20.762 |
|
- type: map_at_100 |
|
value: 21.956999999999997 |
|
- type: map_at_1000 |
|
value: 22.102 |
|
- type: map_at_3 |
|
value: 18.826999999999998 |
|
- type: map_at_5 |
|
value: 19.911 |
|
- type: mrr_at_1 |
|
value: 18.836 |
|
- type: mrr_at_10 |
|
value: 24.484 |
|
- type: mrr_at_100 |
|
value: 25.561 |
|
- type: mrr_at_1000 |
|
value: 25.651000000000003 |
|
- type: mrr_at_3 |
|
value: 22.546 |
|
- type: mrr_at_5 |
|
value: 23.613 |
|
- type: ndcg_at_1 |
|
value: 18.836 |
|
- type: ndcg_at_10 |
|
value: 24.465999999999998 |
|
- type: ndcg_at_100 |
|
value: 30.337999999999997 |
|
- type: ndcg_at_1000 |
|
value: 33.775 |
|
- type: ndcg_at_3 |
|
value: 21.029 |
|
- type: ndcg_at_5 |
|
value: 22.576 |
|
- type: precision_at_1 |
|
value: 18.836 |
|
- type: precision_at_10 |
|
value: 4.5089999999999995 |
|
- type: precision_at_100 |
|
value: 0.895 |
|
- type: precision_at_1000 |
|
value: 0.13799999999999998 |
|
- type: precision_at_3 |
|
value: 9.893 |
|
- type: precision_at_5 |
|
value: 7.146 |
|
- type: recall_at_1 |
|
value: 15.257000000000001 |
|
- type: recall_at_10 |
|
value: 32.062000000000005 |
|
- type: recall_at_100 |
|
value: 57.577 |
|
- type: recall_at_1000 |
|
value: 81.75 |
|
- type: recall_at_3 |
|
value: 22.579 |
|
- type: recall_at_5 |
|
value: 26.613999999999997 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
metrics: |
|
- type: map_at_1 |
|
value: 15.333916666666667 |
|
- type: map_at_10 |
|
value: 20.908583333333333 |
|
- type: map_at_100 |
|
value: 21.891333333333332 |
|
- type: map_at_1000 |
|
value: 22.02225 |
|
- type: map_at_3 |
|
value: 19.053833333333333 |
|
- type: map_at_5 |
|
value: 20.053916666666666 |
|
- type: mrr_at_1 |
|
value: 18.5485 |
|
- type: mrr_at_10 |
|
value: 24.15733333333333 |
|
- type: mrr_at_100 |
|
value: 25.01325 |
|
- type: mrr_at_1000 |
|
value: 25.101000000000003 |
|
- type: mrr_at_3 |
|
value: 22.34708333333333 |
|
- type: mrr_at_5 |
|
value: 23.317833333333336 |
|
- type: ndcg_at_1 |
|
value: 18.5485 |
|
- type: ndcg_at_10 |
|
value: 24.614 |
|
- type: ndcg_at_100 |
|
value: 29.431166666666662 |
|
- type: ndcg_at_1000 |
|
value: 32.6675 |
|
- type: ndcg_at_3 |
|
value: 21.285083333333336 |
|
- type: ndcg_at_5 |
|
value: 22.751416666666664 |
|
- type: precision_at_1 |
|
value: 18.5485 |
|
- type: precision_at_10 |
|
value: 4.4013333333333335 |
|
- type: precision_at_100 |
|
value: 0.8160000000000001 |
|
- type: precision_at_1000 |
|
value: 0.12825 |
|
- type: precision_at_3 |
|
value: 9.847916666666666 |
|
- type: precision_at_5 |
|
value: 7.069166666666668 |
|
- type: recall_at_1 |
|
value: 15.333916666666667 |
|
- type: recall_at_10 |
|
value: 32.5695 |
|
- type: recall_at_100 |
|
value: 54.50375 |
|
- type: recall_at_1000 |
|
value: 78.02300000000001 |
|
- type: recall_at_3 |
|
value: 23.115000000000002 |
|
- type: recall_at_5 |
|
value: 26.968416666666666 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
metrics: |
|
- type: map_at_1 |
|
value: 11.745 |
|
- type: map_at_10 |
|
value: 16.406000000000002 |
|
- type: map_at_100 |
|
value: 17.157 |
|
- type: map_at_1000 |
|
value: 17.249 |
|
- type: map_at_3 |
|
value: 14.835999999999999 |
|
- type: map_at_5 |
|
value: 15.803 |
|
- type: mrr_at_1 |
|
value: 13.804 |
|
- type: mrr_at_10 |
|
value: 18.55 |
|
- type: mrr_at_100 |
|
value: 19.306 |
|
- type: mrr_at_1000 |
|
value: 19.38 |
|
- type: mrr_at_3 |
|
value: 17.05 |
|
- type: mrr_at_5 |
|
value: 17.947 |
|
- type: ndcg_at_1 |
|
value: 13.804 |
|
- type: ndcg_at_10 |
|
value: 19.339000000000002 |
|
- type: ndcg_at_100 |
|
value: 23.624000000000002 |
|
- type: ndcg_at_1000 |
|
value: 26.301999999999996 |
|
- type: ndcg_at_3 |
|
value: 16.454 |
|
- type: ndcg_at_5 |
|
value: 17.999000000000002 |
|
- type: precision_at_1 |
|
value: 13.804 |
|
- type: precision_at_10 |
|
value: 3.282 |
|
- type: precision_at_100 |
|
value: 0.598 |
|
- type: precision_at_1000 |
|
value: 0.091 |
|
- type: precision_at_3 |
|
value: 7.413 |
|
- type: precision_at_5 |
|
value: 5.428999999999999 |
|
- type: recall_at_1 |
|
value: 11.745 |
|
- type: recall_at_10 |
|
value: 26.255 |
|
- type: recall_at_100 |
|
value: 46.888000000000005 |
|
- type: recall_at_1000 |
|
value: 67.131 |
|
- type: recall_at_3 |
|
value: 18.434 |
|
- type: recall_at_5 |
|
value: 22.328 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: 46989137a86843e03a6195de44b09deda022eec7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 8.119 |
|
- type: map_at_10 |
|
value: 11.944 |
|
- type: map_at_100 |
|
value: 12.647 |
|
- type: map_at_1000 |
|
value: 12.770000000000001 |
|
- type: map_at_3 |
|
value: 10.612 |
|
- type: map_at_5 |
|
value: 11.292 |
|
- type: mrr_at_1 |
|
value: 10.22 |
|
- type: mrr_at_10 |
|
value: 14.496 |
|
- type: mrr_at_100 |
|
value: 15.18 |
|
- type: mrr_at_1000 |
|
value: 15.279000000000002 |
|
- type: mrr_at_3 |
|
value: 12.979 |
|
- type: mrr_at_5 |
|
value: 13.755 |
|
- type: ndcg_at_1 |
|
value: 10.22 |
|
- type: ndcg_at_10 |
|
value: 14.687 |
|
- type: ndcg_at_100 |
|
value: 18.543000000000003 |
|
- type: ndcg_at_1000 |
|
value: 22.099 |
|
- type: ndcg_at_3 |
|
value: 12.076 |
|
- type: ndcg_at_5 |
|
value: 13.161999999999999 |
|
- type: precision_at_1 |
|
value: 10.22 |
|
- type: precision_at_10 |
|
value: 2.822 |
|
- type: precision_at_100 |
|
value: 0.565 |
|
- type: precision_at_1000 |
|
value: 0.104 |
|
- type: precision_at_3 |
|
value: 5.781 |
|
- type: precision_at_5 |
|
value: 4.301 |
|
- type: recall_at_1 |
|
value: 8.119 |
|
- type: recall_at_10 |
|
value: 20.527 |
|
- type: recall_at_100 |
|
value: 38.719 |
|
- type: recall_at_1000 |
|
value: 65.16300000000001 |
|
- type: recall_at_3 |
|
value: 13.275 |
|
- type: recall_at_5 |
|
value: 15.998999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
metrics: |
|
- type: map_at_1 |
|
value: 13.334999999999999 |
|
- type: map_at_10 |
|
value: 18.194 |
|
- type: map_at_100 |
|
value: 19.049 |
|
- type: map_at_1000 |
|
value: 19.17 |
|
- type: map_at_3 |
|
value: 16.625 |
|
- type: map_at_5 |
|
value: 17.509 |
|
- type: mrr_at_1 |
|
value: 16.231 |
|
- type: mrr_at_10 |
|
value: 21.308 |
|
- type: mrr_at_100 |
|
value: 22.154 |
|
- type: mrr_at_1000 |
|
value: 22.25 |
|
- type: mrr_at_3 |
|
value: 19.761 |
|
- type: mrr_at_5 |
|
value: 20.567 |
|
- type: ndcg_at_1 |
|
value: 16.231 |
|
- type: ndcg_at_10 |
|
value: 21.525 |
|
- type: ndcg_at_100 |
|
value: 26.008 |
|
- type: ndcg_at_1000 |
|
value: 29.351 |
|
- type: ndcg_at_3 |
|
value: 18.54 |
|
- type: ndcg_at_5 |
|
value: 19.916 |
|
- type: precision_at_1 |
|
value: 16.231 |
|
- type: precision_at_10 |
|
value: 3.6470000000000002 |
|
- type: precision_at_100 |
|
value: 0.655 |
|
- type: precision_at_1000 |
|
value: 0.106 |
|
- type: precision_at_3 |
|
value: 8.488999999999999 |
|
- type: precision_at_5 |
|
value: 6.007 |
|
- type: recall_at_1 |
|
value: 13.334999999999999 |
|
- type: recall_at_10 |
|
value: 28.804999999999996 |
|
- type: recall_at_100 |
|
value: 49.303000000000004 |
|
- type: recall_at_1000 |
|
value: 73.95 |
|
- type: recall_at_3 |
|
value: 20.531 |
|
- type: recall_at_5 |
|
value: 24.067 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
|
metrics: |
|
- type: map_at_1 |
|
value: 16.002 |
|
- type: map_at_10 |
|
value: 21.282 |
|
- type: map_at_100 |
|
value: 22.518 |
|
- type: map_at_1000 |
|
value: 22.728 |
|
- type: map_at_3 |
|
value: 19.463 |
|
- type: map_at_5 |
|
value: 20.314 |
|
- type: mrr_at_1 |
|
value: 19.96 |
|
- type: mrr_at_10 |
|
value: 25.084 |
|
- type: mrr_at_100 |
|
value: 26.028000000000002 |
|
- type: mrr_at_1000 |
|
value: 26.119999999999997 |
|
- type: mrr_at_3 |
|
value: 23.352999999999998 |
|
- type: mrr_at_5 |
|
value: 24.203 |
|
- type: ndcg_at_1 |
|
value: 19.96 |
|
- type: ndcg_at_10 |
|
value: 25.275 |
|
- type: ndcg_at_100 |
|
value: 30.574 |
|
- type: ndcg_at_1000 |
|
value: 34.359 |
|
- type: ndcg_at_3 |
|
value: 22.281000000000002 |
|
- type: ndcg_at_5 |
|
value: 23.32 |
|
- type: precision_at_1 |
|
value: 19.96 |
|
- type: precision_at_10 |
|
value: 4.920999999999999 |
|
- type: precision_at_100 |
|
value: 1.1320000000000001 |
|
- type: precision_at_1000 |
|
value: 0.20400000000000001 |
|
- type: precision_at_3 |
|
value: 10.408000000000001 |
|
- type: precision_at_5 |
|
value: 7.352 |
|
- type: recall_at_1 |
|
value: 16.002 |
|
- type: recall_at_10 |
|
value: 32.452 |
|
- type: recall_at_100 |
|
value: 57.297 |
|
- type: recall_at_1000 |
|
value: 83.332 |
|
- type: recall_at_3 |
|
value: 23.101 |
|
- type: recall_at_5 |
|
value: 26.395999999999997 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 12.15 |
|
- type: map_at_10 |
|
value: 16.377 |
|
- type: map_at_100 |
|
value: 17.122999999999998 |
|
- type: map_at_1000 |
|
value: 17.241999999999997 |
|
- type: map_at_3 |
|
value: 14.935 |
|
- type: map_at_5 |
|
value: 15.669 |
|
- type: mrr_at_1 |
|
value: 13.309000000000001 |
|
- type: mrr_at_10 |
|
value: 17.656 |
|
- type: mrr_at_100 |
|
value: 18.427 |
|
- type: mrr_at_1000 |
|
value: 18.537 |
|
- type: mrr_at_3 |
|
value: 16.174 |
|
- type: mrr_at_5 |
|
value: 16.932 |
|
- type: ndcg_at_1 |
|
value: 13.309000000000001 |
|
- type: ndcg_at_10 |
|
value: 19.061 |
|
- type: ndcg_at_100 |
|
value: 23.168 |
|
- type: ndcg_at_1000 |
|
value: 26.700000000000003 |
|
- type: ndcg_at_3 |
|
value: 16.085 |
|
- type: ndcg_at_5 |
|
value: 17.342 |
|
- type: precision_at_1 |
|
value: 13.309000000000001 |
|
- type: precision_at_10 |
|
value: 2.994 |
|
- type: precision_at_100 |
|
value: 0.545 |
|
- type: precision_at_1000 |
|
value: 0.093 |
|
- type: precision_at_3 |
|
value: 6.715999999999999 |
|
- type: precision_at_5 |
|
value: 4.806 |
|
- type: recall_at_1 |
|
value: 12.15 |
|
- type: recall_at_10 |
|
value: 26.328000000000003 |
|
- type: recall_at_100 |
|
value: 45.806999999999995 |
|
- type: recall_at_1000 |
|
value: 73.06899999999999 |
|
- type: recall_at_3 |
|
value: 18.041 |
|
- type: recall_at_5 |
|
value: 21.121000000000002 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
metrics: |
|
- type: map_at_1 |
|
value: 7.675999999999999 |
|
- type: map_at_10 |
|
value: 13.600000000000001 |
|
- type: map_at_100 |
|
value: 15.287999999999998 |
|
- type: map_at_1000 |
|
value: 15.508 |
|
- type: map_at_3 |
|
value: 11.256 |
|
- type: map_at_5 |
|
value: 12.312 |
|
- type: mrr_at_1 |
|
value: 17.459 |
|
- type: mrr_at_10 |
|
value: 27.166 |
|
- type: mrr_at_100 |
|
value: 28.406 |
|
- type: mrr_at_1000 |
|
value: 28.464 |
|
- type: mrr_at_3 |
|
value: 23.931 |
|
- type: mrr_at_5 |
|
value: 25.66 |
|
- type: ndcg_at_1 |
|
value: 17.459 |
|
- type: ndcg_at_10 |
|
value: 20.146 |
|
- type: ndcg_at_100 |
|
value: 27.625 |
|
- type: ndcg_at_1000 |
|
value: 31.819999999999997 |
|
- type: ndcg_at_3 |
|
value: 15.870999999999999 |
|
- type: ndcg_at_5 |
|
value: 17.158 |
|
- type: precision_at_1 |
|
value: 17.459 |
|
- type: precision_at_10 |
|
value: 6.638 |
|
- type: precision_at_100 |
|
value: 1.4569999999999999 |
|
- type: precision_at_1000 |
|
value: 0.22300000000000003 |
|
- type: precision_at_3 |
|
value: 12.074 |
|
- type: precision_at_5 |
|
value: 9.407 |
|
- type: recall_at_1 |
|
value: 7.675999999999999 |
|
- type: recall_at_10 |
|
value: 25.267 |
|
- type: recall_at_100 |
|
value: 51.69200000000001 |
|
- type: recall_at_1000 |
|
value: 75.58 |
|
- type: recall_at_3 |
|
value: 14.901 |
|
- type: recall_at_5 |
|
value: 18.543000000000003 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.424 |
|
- type: map_at_10 |
|
value: 10.278 |
|
- type: map_at_100 |
|
value: 14.516000000000002 |
|
- type: map_at_1000 |
|
value: 15.584999999999999 |
|
- type: map_at_3 |
|
value: 7.179 |
|
- type: map_at_5 |
|
value: 8.556 |
|
- type: mrr_at_1 |
|
value: 42.0 |
|
- type: mrr_at_10 |
|
value: 52.653000000000006 |
|
- type: mrr_at_100 |
|
value: 53.33599999999999 |
|
- type: mrr_at_1000 |
|
value: 53.364999999999995 |
|
- type: mrr_at_3 |
|
value: 50.542 |
|
- type: mrr_at_5 |
|
value: 51.803999999999995 |
|
- type: ndcg_at_1 |
|
value: 31.624999999999996 |
|
- type: ndcg_at_10 |
|
value: 25.167 |
|
- type: ndcg_at_100 |
|
value: 28.766000000000002 |
|
- type: ndcg_at_1000 |
|
value: 35.959 |
|
- type: ndcg_at_3 |
|
value: 27.807 |
|
- type: ndcg_at_5 |
|
value: 26.569 |
|
- type: precision_at_1 |
|
value: 42.0 |
|
- type: precision_at_10 |
|
value: 22.5 |
|
- type: precision_at_100 |
|
value: 7.295 |
|
- type: precision_at_1000 |
|
value: 1.543 |
|
- type: precision_at_3 |
|
value: 33.5 |
|
- type: precision_at_5 |
|
value: 29.099999999999998 |
|
- type: recall_at_1 |
|
value: 4.424 |
|
- type: recall_at_10 |
|
value: 15.359 |
|
- type: recall_at_100 |
|
value: 35.99 |
|
- type: recall_at_1000 |
|
value: 60.707 |
|
- type: recall_at_3 |
|
value: 8.803999999999998 |
|
- type: recall_at_5 |
|
value: 11.349 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 48.99 |
|
- type: f1 |
|
value: 44.72383731785718 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
metrics: |
|
- type: map_at_1 |
|
value: 17.753 |
|
- type: map_at_10 |
|
value: 26.762999999999998 |
|
- type: map_at_100 |
|
value: 27.773999999999997 |
|
- type: map_at_1000 |
|
value: 27.845 |
|
- type: map_at_3 |
|
value: 24.096 |
|
- type: map_at_5 |
|
value: 25.6 |
|
- type: mrr_at_1 |
|
value: 19.022 |
|
- type: mrr_at_10 |
|
value: 28.46 |
|
- type: mrr_at_100 |
|
value: 29.462 |
|
- type: mrr_at_1000 |
|
value: 29.520999999999997 |
|
- type: mrr_at_3 |
|
value: 25.679999999999996 |
|
- type: mrr_at_5 |
|
value: 27.272999999999996 |
|
- type: ndcg_at_1 |
|
value: 19.022 |
|
- type: ndcg_at_10 |
|
value: 32.063 |
|
- type: ndcg_at_100 |
|
value: 37.169999999999995 |
|
- type: ndcg_at_1000 |
|
value: 39.048 |
|
- type: ndcg_at_3 |
|
value: 26.558999999999997 |
|
- type: ndcg_at_5 |
|
value: 29.266 |
|
- type: precision_at_1 |
|
value: 19.022 |
|
- type: precision_at_10 |
|
value: 5.119 |
|
- type: precision_at_100 |
|
value: 0.786 |
|
- type: precision_at_1000 |
|
value: 0.097 |
|
- type: precision_at_3 |
|
value: 11.571 |
|
- type: precision_at_5 |
|
value: 8.368 |
|
- type: recall_at_1 |
|
value: 17.753 |
|
- type: recall_at_10 |
|
value: 47.061 |
|
- type: recall_at_100 |
|
value: 70.75200000000001 |
|
- type: recall_at_1000 |
|
value: 85.134 |
|
- type: recall_at_3 |
|
value: 32.049 |
|
- type: recall_at_5 |
|
value: 38.556000000000004 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.845 |
|
- type: map_at_10 |
|
value: 11.806999999999999 |
|
- type: map_at_100 |
|
value: 13.104 |
|
- type: map_at_1000 |
|
value: 13.317 |
|
- type: map_at_3 |
|
value: 9.746 |
|
- type: map_at_5 |
|
value: 10.806000000000001 |
|
- type: mrr_at_1 |
|
value: 13.889000000000001 |
|
- type: mrr_at_10 |
|
value: 20.456 |
|
- type: mrr_at_100 |
|
value: 21.572 |
|
- type: mrr_at_1000 |
|
value: 21.666 |
|
- type: mrr_at_3 |
|
value: 18.184 |
|
- type: mrr_at_5 |
|
value: 19.387999999999998 |
|
- type: ndcg_at_1 |
|
value: 13.889000000000001 |
|
- type: ndcg_at_10 |
|
value: 16.552 |
|
- type: ndcg_at_100 |
|
value: 22.817999999999998 |
|
- type: ndcg_at_1000 |
|
value: 27.401999999999997 |
|
- type: ndcg_at_3 |
|
value: 13.527000000000001 |
|
- type: ndcg_at_5 |
|
value: 14.6 |
|
- type: precision_at_1 |
|
value: 13.889000000000001 |
|
- type: precision_at_10 |
|
value: 4.984999999999999 |
|
- type: precision_at_100 |
|
value: 1.097 |
|
- type: precision_at_1000 |
|
value: 0.191 |
|
- type: precision_at_3 |
|
value: 9.208 |
|
- type: precision_at_5 |
|
value: 7.13 |
|
- type: recall_at_1 |
|
value: 6.845 |
|
- type: recall_at_10 |
|
value: 22.012999999999998 |
|
- type: recall_at_100 |
|
value: 46.75 |
|
- type: recall_at_1000 |
|
value: 74.945 |
|
- type: recall_at_3 |
|
value: 12.352 |
|
- type: recall_at_5 |
|
value: 16.217000000000002 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.886 |
|
- type: map_at_10 |
|
value: 26.729999999999997 |
|
- type: map_at_100 |
|
value: 27.732 |
|
- type: map_at_1000 |
|
value: 27.85 |
|
- type: map_at_3 |
|
value: 24.57 |
|
- type: map_at_5 |
|
value: 25.774 |
|
- type: mrr_at_1 |
|
value: 37.772 |
|
- type: mrr_at_10 |
|
value: 45.239000000000004 |
|
- type: mrr_at_100 |
|
value: 45.972 |
|
- type: mrr_at_1000 |
|
value: 46.027 |
|
- type: mrr_at_3 |
|
value: 43.279 |
|
- type: mrr_at_5 |
|
value: 44.397 |
|
- type: ndcg_at_1 |
|
value: 37.772 |
|
- type: ndcg_at_10 |
|
value: 33.973 |
|
- type: ndcg_at_100 |
|
value: 38.456 |
|
- type: ndcg_at_1000 |
|
value: 41.178 |
|
- type: ndcg_at_3 |
|
value: 29.988999999999997 |
|
- type: ndcg_at_5 |
|
value: 31.935999999999996 |
|
- type: precision_at_1 |
|
value: 37.772 |
|
- type: precision_at_10 |
|
value: 7.465 |
|
- type: precision_at_100 |
|
value: 1.1039999999999999 |
|
- type: precision_at_1000 |
|
value: 0.147 |
|
- type: precision_at_3 |
|
value: 18.902 |
|
- type: precision_at_5 |
|
value: 12.883 |
|
- type: recall_at_1 |
|
value: 18.886 |
|
- type: recall_at_10 |
|
value: 37.326 |
|
- type: recall_at_100 |
|
value: 55.186 |
|
- type: recall_at_1000 |
|
value: 73.309 |
|
- type: recall_at_3 |
|
value: 28.352 |
|
- type: recall_at_5 |
|
value: 32.208 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 70.6808 |
|
- type: ap |
|
value: 64.78268083902698 |
|
- type: f1 |
|
value: 70.48410216634053 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: c5a29a104738b98a9e76336939199e264163d4a0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.300999999999999 |
|
- type: map_at_10 |
|
value: 11.068999999999999 |
|
- type: map_at_100 |
|
value: 12.0 |
|
- type: map_at_1000 |
|
value: 12.113999999999999 |
|
- type: map_at_3 |
|
value: 9.381 |
|
- type: map_at_5 |
|
value: 10.265 |
|
- type: mrr_at_1 |
|
value: 6.476 |
|
- type: mrr_at_10 |
|
value: 11.357000000000001 |
|
- type: mrr_at_100 |
|
value: 12.293 |
|
- type: mrr_at_1000 |
|
value: 12.403 |
|
- type: mrr_at_3 |
|
value: 9.62 |
|
- type: mrr_at_5 |
|
value: 10.544 |
|
- type: ndcg_at_1 |
|
value: 6.461 |
|
- type: ndcg_at_10 |
|
value: 14.058000000000002 |
|
- type: ndcg_at_100 |
|
value: 19.156000000000002 |
|
- type: ndcg_at_1000 |
|
value: 22.570999999999998 |
|
- type: ndcg_at_3 |
|
value: 10.475 |
|
- type: ndcg_at_5 |
|
value: 12.092 |
|
- type: precision_at_1 |
|
value: 6.461 |
|
- type: precision_at_10 |
|
value: 2.431 |
|
- type: precision_at_100 |
|
value: 0.508 |
|
- type: precision_at_1000 |
|
value: 0.08 |
|
- type: precision_at_3 |
|
value: 4.6080000000000005 |
|
- type: precision_at_5 |
|
value: 3.5900000000000003 |
|
- type: recall_at_1 |
|
value: 6.300999999999999 |
|
- type: recall_at_10 |
|
value: 23.378 |
|
- type: recall_at_100 |
|
value: 48.258 |
|
- type: recall_at_1000 |
|
value: 75.652 |
|
- type: recall_at_3 |
|
value: 13.422 |
|
- type: recall_at_5 |
|
value: 17.316000000000003 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 91.34290925672595 |
|
- type: f1 |
|
value: 90.45651851550997 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 63.57045143638851 |
|
- type: f1 |
|
value: 44.02606500037181 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 65.63214525891057 |
|
- type: f1 |
|
value: 63.33629303043603 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 72.65635507733691 |
|
- type: f1 |
|
value: 71.52506282204605 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 30.593804768886113 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 27.41249151566158 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 31.0983658178549 |
|
- type: mrr |
|
value: 32.18857446274346 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.79 |
|
- type: map_at_10 |
|
value: 9.095 |
|
- type: map_at_100 |
|
value: 11.738999999999999 |
|
- type: map_at_1000 |
|
value: 13.203000000000001 |
|
- type: map_at_3 |
|
value: 6.68 |
|
- type: map_at_5 |
|
value: 7.924 |
|
- type: mrr_at_1 |
|
value: 37.461 |
|
- type: mrr_at_10 |
|
value: 46.283 |
|
- type: mrr_at_100 |
|
value: 46.983999999999995 |
|
- type: mrr_at_1000 |
|
value: 47.046 |
|
- type: mrr_at_3 |
|
value: 43.55 |
|
- type: mrr_at_5 |
|
value: 45.268 |
|
- type: ndcg_at_1 |
|
value: 35.604 |
|
- type: ndcg_at_10 |
|
value: 27.249000000000002 |
|
- type: ndcg_at_100 |
|
value: 26.215 |
|
- type: ndcg_at_1000 |
|
value: 35.867 |
|
- type: ndcg_at_3 |
|
value: 30.330000000000002 |
|
- type: ndcg_at_5 |
|
value: 29.574 |
|
- type: precision_at_1 |
|
value: 37.152 |
|
- type: precision_at_10 |
|
value: 20.031 |
|
- type: precision_at_100 |
|
value: 7.217 |
|
- type: precision_at_1000 |
|
value: 2.072 |
|
- type: precision_at_3 |
|
value: 27.761000000000003 |
|
- type: precision_at_5 |
|
value: 25.448999999999998 |
|
- type: recall_at_1 |
|
value: 4.79 |
|
- type: recall_at_10 |
|
value: 13.197000000000001 |
|
- type: recall_at_100 |
|
value: 28.816999999999997 |
|
- type: recall_at_1000 |
|
value: 63.010999999999996 |
|
- type: recall_at_3 |
|
value: 7.53 |
|
- type: recall_at_5 |
|
value: 10.234 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.345 |
|
- type: map_at_10 |
|
value: 16.655 |
|
- type: map_at_100 |
|
value: 17.991 |
|
- type: map_at_1000 |
|
value: 18.093999999999998 |
|
- type: map_at_3 |
|
value: 13.825000000000001 |
|
- type: map_at_5 |
|
value: 15.445 |
|
- type: mrr_at_1 |
|
value: 10.834000000000001 |
|
- type: mrr_at_10 |
|
value: 18.533 |
|
- type: mrr_at_100 |
|
value: 19.750999999999998 |
|
- type: mrr_at_1000 |
|
value: 19.837 |
|
- type: mrr_at_3 |
|
value: 15.623999999999999 |
|
- type: mrr_at_5 |
|
value: 17.307 |
|
- type: ndcg_at_1 |
|
value: 10.834000000000001 |
|
- type: ndcg_at_10 |
|
value: 21.503 |
|
- type: ndcg_at_100 |
|
value: 28.141 |
|
- type: ndcg_at_1000 |
|
value: 30.951 |
|
- type: ndcg_at_3 |
|
value: 15.7 |
|
- type: ndcg_at_5 |
|
value: 18.608 |
|
- type: precision_at_1 |
|
value: 10.834000000000001 |
|
- type: precision_at_10 |
|
value: 4.09 |
|
- type: precision_at_100 |
|
value: 0.782 |
|
- type: precision_at_1000 |
|
value: 0.105 |
|
- type: precision_at_3 |
|
value: 7.474 |
|
- type: precision_at_5 |
|
value: 6.089 |
|
- type: recall_at_1 |
|
value: 9.345 |
|
- type: recall_at_10 |
|
value: 34.760000000000005 |
|
- type: recall_at_100 |
|
value: 65.455 |
|
- type: recall_at_1000 |
|
value: 87.008 |
|
- type: recall_at_3 |
|
value: 19.397000000000002 |
|
- type: recall_at_5 |
|
value: 26.205000000000002 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 63.864 |
|
- type: map_at_10 |
|
value: 76.823 |
|
- type: map_at_100 |
|
value: 77.58699999999999 |
|
- type: map_at_1000 |
|
value: 77.619 |
|
- type: map_at_3 |
|
value: 73.834 |
|
- type: map_at_5 |
|
value: 75.703 |
|
- type: mrr_at_1 |
|
value: 73.55000000000001 |
|
- type: mrr_at_10 |
|
value: 81.077 |
|
- type: mrr_at_100 |
|
value: 81.296 |
|
- type: mrr_at_1000 |
|
value: 81.3 |
|
- type: mrr_at_3 |
|
value: 79.647 |
|
- type: mrr_at_5 |
|
value: 80.601 |
|
- type: ndcg_at_1 |
|
value: 73.63 |
|
- type: ndcg_at_10 |
|
value: 81.526 |
|
- type: ndcg_at_100 |
|
value: 83.544 |
|
- type: ndcg_at_1000 |
|
value: 83.86200000000001 |
|
- type: ndcg_at_3 |
|
value: 77.96300000000001 |
|
- type: ndcg_at_5 |
|
value: 79.888 |
|
- type: precision_at_1 |
|
value: 73.63 |
|
- type: precision_at_10 |
|
value: 12.325 |
|
- type: precision_at_100 |
|
value: 1.468 |
|
- type: precision_at_1000 |
|
value: 0.155 |
|
- type: precision_at_3 |
|
value: 33.857 |
|
- type: precision_at_5 |
|
value: 22.428 |
|
- type: recall_at_1 |
|
value: 63.864 |
|
- type: recall_at_10 |
|
value: 90.537 |
|
- type: recall_at_100 |
|
value: 97.985 |
|
- type: recall_at_1000 |
|
value: 99.679 |
|
- type: recall_at_3 |
|
value: 80.351 |
|
- type: recall_at_5 |
|
value: 85.697 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 44.25321653229755 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
metrics: |
|
- type: v_measure |
|
value: 49.93875732877625 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 2.8979999999999997 |
|
- type: map_at_10 |
|
value: 7.376 |
|
- type: map_at_100 |
|
value: 8.902000000000001 |
|
- type: map_at_1000 |
|
value: 9.174 |
|
- type: map_at_3 |
|
value: 5.47 |
|
- type: map_at_5 |
|
value: 6.432 |
|
- type: mrr_at_1 |
|
value: 14.2 |
|
- type: mrr_at_10 |
|
value: 22.966 |
|
- type: mrr_at_100 |
|
value: 24.117 |
|
- type: mrr_at_1000 |
|
value: 24.209 |
|
- type: mrr_at_3 |
|
value: 20.033 |
|
- type: mrr_at_5 |
|
value: 21.532999999999998 |
|
- type: ndcg_at_1 |
|
value: 14.2 |
|
- type: ndcg_at_10 |
|
value: 13.016 |
|
- type: ndcg_at_100 |
|
value: 19.804 |
|
- type: ndcg_at_1000 |
|
value: 25.251 |
|
- type: ndcg_at_3 |
|
value: 12.395 |
|
- type: ndcg_at_5 |
|
value: 10.793999999999999 |
|
- type: precision_at_1 |
|
value: 14.2 |
|
- type: precision_at_10 |
|
value: 6.800000000000001 |
|
- type: precision_at_100 |
|
value: 1.6709999999999998 |
|
- type: precision_at_1000 |
|
value: 0.298 |
|
- type: precision_at_3 |
|
value: 11.767 |
|
- type: precision_at_5 |
|
value: 9.56 |
|
- type: recall_at_1 |
|
value: 2.8979999999999997 |
|
- type: recall_at_10 |
|
value: 13.753000000000002 |
|
- type: recall_at_100 |
|
value: 33.92 |
|
- type: recall_at_1000 |
|
value: 60.592 |
|
- type: recall_at_3 |
|
value: 7.163 |
|
- type: recall_at_5 |
|
value: 9.678 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 76.86234724246499 |
|
- type: cos_sim_spearman |
|
value: 67.59298171796401 |
|
- type: euclidean_pearson |
|
value: 72.34370409015565 |
|
- type: euclidean_spearman |
|
value: 67.59294254877997 |
|
- type: manhattan_pearson |
|
value: 70.76123243638206 |
|
- type: manhattan_spearman |
|
value: 66.86233305574997 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 75.2193174164991 |
|
- type: cos_sim_spearman |
|
value: 66.95885463258551 |
|
- type: euclidean_pearson |
|
value: 70.69637254317986 |
|
- type: euclidean_spearman |
|
value: 66.95991031425478 |
|
- type: manhattan_pearson |
|
value: 67.25988575290648 |
|
- type: manhattan_spearman |
|
value: 64.94406492662402 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 77.42103332836258 |
|
- type: cos_sim_spearman |
|
value: 78.48875534932043 |
|
- type: euclidean_pearson |
|
value: 78.1930584097837 |
|
- type: euclidean_spearman |
|
value: 78.48879315793262 |
|
- type: manhattan_pearson |
|
value: 75.7705791679418 |
|
- type: manhattan_spearman |
|
value: 76.01194506942352 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 78.58218995046416 |
|
- type: cos_sim_spearman |
|
value: 75.61279190671051 |
|
- type: euclidean_pearson |
|
value: 77.58820759180631 |
|
- type: euclidean_spearman |
|
value: 75.61278221440635 |
|
- type: manhattan_pearson |
|
value: 76.12440001778819 |
|
- type: manhattan_spearman |
|
value: 74.4269498969252 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 82.2891641302121 |
|
- type: cos_sim_spearman |
|
value: 82.73098262647434 |
|
- type: euclidean_pearson |
|
value: 82.5188483930312 |
|
- type: euclidean_spearman |
|
value: 82.73097334698637 |
|
- type: manhattan_pearson |
|
value: 81.05168739270556 |
|
- type: manhattan_spearman |
|
value: 81.10750061837136 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 77.4670953467407 |
|
- type: cos_sim_spearman |
|
value: 78.53536279187583 |
|
- type: euclidean_pearson |
|
value: 77.6227824619736 |
|
- type: euclidean_spearman |
|
value: 78.53591292409315 |
|
- type: manhattan_pearson |
|
value: 76.24243879772493 |
|
- type: manhattan_spearman |
|
value: 77.00775260881191 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS17 (en-en) |
|
config: en-en |
|
split: test |
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 86.19161153621691 |
|
- type: cos_sim_spearman |
|
value: 86.86584556712556 |
|
- type: euclidean_pearson |
|
value: 86.08114835853017 |
|
- type: euclidean_spearman |
|
value: 86.86671808346402 |
|
- type: manhattan_pearson |
|
value: 85.71042782796158 |
|
- type: manhattan_spearman |
|
value: 86.76481453820853 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STS22 (en) |
|
config: en |
|
split: test |
|
revision: eea2b4fe26a775864c896887d910b76a8098ad3f |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 59.80818689506919 |
|
- type: cos_sim_spearman |
|
value: 59.903534431363916 |
|
- type: euclidean_pearson |
|
value: 60.967975393911466 |
|
- type: euclidean_spearman |
|
value: 59.903534431363916 |
|
- type: manhattan_pearson |
|
value: 59.348745545947104 |
|
- type: manhattan_spearman |
|
value: 58.506942610232116 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: None |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 80.61911955925173 |
|
- type: cos_sim_spearman |
|
value: 79.18748066540941 |
|
- type: euclidean_pearson |
|
value: 80.06976231938555 |
|
- type: euclidean_spearman |
|
value: 79.18749912961366 |
|
- type: manhattan_pearson |
|
value: 78.3922696264025 |
|
- type: manhattan_spearman |
|
value: 77.68224365306664 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 74.36063395414824 |
|
- type: mrr |
|
value: 91.81411453470277 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 39.139 |
|
- type: map_at_10 |
|
value: 47.508 |
|
- type: map_at_100 |
|
value: 48.631 |
|
- type: map_at_1000 |
|
value: 48.691 |
|
- type: map_at_3 |
|
value: 44.926 |
|
- type: map_at_5 |
|
value: 46.093 |
|
- type: mrr_at_1 |
|
value: 41.333 |
|
- type: mrr_at_10 |
|
value: 49.289 |
|
- type: mrr_at_100 |
|
value: 50.209 |
|
- type: mrr_at_1000 |
|
value: 50.261 |
|
- type: mrr_at_3 |
|
value: 46.944 |
|
- type: mrr_at_5 |
|
value: 47.978 |
|
- type: ndcg_at_1 |
|
value: 41.333 |
|
- type: ndcg_at_10 |
|
value: 52.306 |
|
- type: ndcg_at_100 |
|
value: 57.403999999999996 |
|
- type: ndcg_at_1000 |
|
value: 58.733999999999995 |
|
- type: ndcg_at_3 |
|
value: 47.113 |
|
- type: ndcg_at_5 |
|
value: 48.966 |
|
- type: precision_at_1 |
|
value: 41.333 |
|
- type: precision_at_10 |
|
value: 7.167 |
|
- type: precision_at_100 |
|
value: 0.997 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 18.333 |
|
- type: precision_at_5 |
|
value: 12.0 |
|
- type: recall_at_1 |
|
value: 39.139 |
|
- type: recall_at_10 |
|
value: 65.84400000000001 |
|
- type: recall_at_100 |
|
value: 88.94999999999999 |
|
- type: recall_at_1000 |
|
value: 98.867 |
|
- type: recall_at_3 |
|
value: 51.222 |
|
- type: recall_at_5 |
|
value: 55.72200000000001 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: None |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.66831683168317 |
|
- type: cos_sim_ap |
|
value: 89.56758407722171 |
|
- type: cos_sim_f1 |
|
value: 82.97029702970298 |
|
- type: cos_sim_precision |
|
value: 82.15686274509804 |
|
- type: cos_sim_recall |
|
value: 83.8 |
|
- type: dot_accuracy |
|
value: 99.66831683168317 |
|
- type: dot_ap |
|
value: 89.56758407722171 |
|
- type: dot_f1 |
|
value: 82.97029702970298 |
|
- type: dot_precision |
|
value: 82.15686274509804 |
|
- type: dot_recall |
|
value: 83.8 |
|
- type: euclidean_accuracy |
|
value: 99.66831683168317 |
|
- type: euclidean_ap |
|
value: 89.56758407722171 |
|
- type: euclidean_f1 |
|
value: 82.97029702970298 |
|
- type: euclidean_precision |
|
value: 82.15686274509804 |
|
- type: euclidean_recall |
|
value: 83.8 |
|
- type: manhattan_accuracy |
|
value: 99.65445544554456 |
|
- type: manhattan_ap |
|
value: 88.81637821295462 |
|
- type: manhattan_f1 |
|
value: 81.9047619047619 |
|
- type: manhattan_precision |
|
value: 82.1105527638191 |
|
- type: manhattan_recall |
|
value: 81.69999999999999 |
|
- type: max_accuracy |
|
value: 99.66831683168317 |
|
- type: max_ap |
|
value: 89.56758407722171 |
|
- type: max_f1 |
|
value: 82.97029702970298 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 47.34055809539011 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 29.658298502445096 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: None |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 43.989840235812004 |
|
- type: mrr |
|
value: 44.506899350649356 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: None |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 31.29667664654959 |
|
- type: cos_sim_spearman |
|
value: 29.818596667773882 |
|
- type: dot_pearson |
|
value: 31.296676647072026 |
|
- type: dot_spearman |
|
value: 29.779857187330265 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: None |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.155 |
|
- type: map_at_10 |
|
value: 0.8330000000000001 |
|
- type: map_at_100 |
|
value: 4.590000000000001 |
|
- type: map_at_1000 |
|
value: 11.683 |
|
- type: map_at_3 |
|
value: 0.334 |
|
- type: map_at_5 |
|
value: 0.466 |
|
- type: mrr_at_1 |
|
value: 60.0 |
|
- type: mrr_at_10 |
|
value: 68.136 |
|
- type: mrr_at_100 |
|
value: 68.703 |
|
- type: mrr_at_1000 |
|
value: 68.703 |
|
- type: mrr_at_3 |
|
value: 66.0 |
|
- type: mrr_at_5 |
|
value: 66.4 |
|
- type: ndcg_at_1 |
|
value: 54.0 |
|
- type: ndcg_at_10 |
|
value: 44.658 |
|
- type: ndcg_at_100 |
|
value: 33.977000000000004 |
|
- type: ndcg_at_1000 |
|
value: 30.621 |
|
- type: ndcg_at_3 |
|
value: 48.939 |
|
- type: ndcg_at_5 |
|
value: 45.396 |
|
- type: precision_at_1 |
|
value: 57.99999999999999 |
|
- type: precision_at_10 |
|
value: 47.4 |
|
- type: precision_at_100 |
|
value: 35.82 |
|
- type: precision_at_1000 |
|
value: 14.876000000000001 |
|
- type: precision_at_3 |
|
value: 50.0 |
|
- type: precision_at_5 |
|
value: 45.6 |
|
- type: recall_at_1 |
|
value: 0.155 |
|
- type: recall_at_10 |
|
value: 1.0670000000000002 |
|
- type: recall_at_100 |
|
value: 7.651 |
|
- type: recall_at_1000 |
|
value: 29.537000000000003 |
|
- type: recall_at_3 |
|
value: 0.35500000000000004 |
|
- type: recall_at_5 |
|
value: 0.518 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: None |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
metrics: |
|
- type: map_at_1 |
|
value: 2.426 |
|
- type: map_at_10 |
|
value: 8.38 |
|
- type: map_at_100 |
|
value: 14.308000000000002 |
|
- type: map_at_1000 |
|
value: 15.956000000000001 |
|
- type: map_at_3 |
|
value: 4.596 |
|
- type: map_at_5 |
|
value: 6.1339999999999995 |
|
- type: mrr_at_1 |
|
value: 32.653 |
|
- type: mrr_at_10 |
|
value: 44.577 |
|
- type: mrr_at_100 |
|
value: 45.754 |
|
- type: mrr_at_1000 |
|
value: 45.754 |
|
- type: mrr_at_3 |
|
value: 41.156 |
|
- type: mrr_at_5 |
|
value: 43.401 |
|
- type: ndcg_at_1 |
|
value: 28.571 |
|
- type: ndcg_at_10 |
|
value: 21.116 |
|
- type: ndcg_at_100 |
|
value: 35.193000000000005 |
|
- type: ndcg_at_1000 |
|
value: 46.989 |
|
- type: ndcg_at_3 |
|
value: 24.708 |
|
- type: ndcg_at_5 |
|
value: 23.594 |
|
- type: precision_at_1 |
|
value: 32.653 |
|
- type: precision_at_10 |
|
value: 19.592000000000002 |
|
- type: precision_at_100 |
|
value: 8.265 |
|
- type: precision_at_1000 |
|
value: 1.5939999999999999 |
|
- type: precision_at_3 |
|
value: 27.211000000000002 |
|
- type: precision_at_5 |
|
value: 25.306 |
|
- type: recall_at_1 |
|
value: 2.426 |
|
- type: recall_at_10 |
|
value: 13.691 |
|
- type: recall_at_100 |
|
value: 49.446 |
|
- type: recall_at_1000 |
|
value: 86.124 |
|
- type: recall_at_3 |
|
value: 5.67 |
|
- type: recall_at_5 |
|
value: 8.506 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
metrics: |
|
- type: accuracy |
|
value: 79.2904 |
|
- type: ap |
|
value: 19.73734798884487 |
|
- type: f1 |
|
value: 61.89018130098357 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: None |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 60.97906055461234 |
|
- type: f1 |
|
value: 61.25225658586279 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: None |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 41.859245341604115 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: None |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 83.4714192048638 |
|
- type: cos_sim_ap |
|
value: 64.50474781834589 |
|
- type: cos_sim_f1 |
|
value: 60.58070866141732 |
|
- type: cos_sim_precision |
|
value: 56.75426463808206 |
|
- type: cos_sim_recall |
|
value: 64.96042216358839 |
|
- type: dot_accuracy |
|
value: 83.4714192048638 |
|
- type: dot_ap |
|
value: 64.50474781834589 |
|
- type: dot_f1 |
|
value: 60.58070866141732 |
|
- type: dot_precision |
|
value: 56.75426463808206 |
|
- type: dot_recall |
|
value: 64.96042216358839 |
|
- type: euclidean_accuracy |
|
value: 83.4714192048638 |
|
- type: euclidean_ap |
|
value: 64.50474781834589 |
|
- type: euclidean_f1 |
|
value: 60.58070866141732 |
|
- type: euclidean_precision |
|
value: 56.75426463808206 |
|
- type: euclidean_recall |
|
value: 64.96042216358839 |
|
- type: manhattan_accuracy |
|
value: 83.48334028729809 |
|
- type: manhattan_ap |
|
value: 64.6227449383717 |
|
- type: manhattan_f1 |
|
value: 60.88942307692308 |
|
- type: manhattan_precision |
|
value: 55.916114790286976 |
|
- type: manhattan_recall |
|
value: 66.83377308707124 |
|
- type: max_accuracy |
|
value: 83.48334028729809 |
|
- type: max_ap |
|
value: 64.6227449383717 |
|
- type: max_f1 |
|
value: 60.88942307692308 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: None |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.58295494236815 |
|
- type: cos_sim_ap |
|
value: 83.22579648788027 |
|
- type: cos_sim_f1 |
|
value: 75.27357054859048 |
|
- type: cos_sim_precision |
|
value: 71.09514031485284 |
|
- type: cos_sim_recall |
|
value: 79.97382198952879 |
|
- type: dot_accuracy |
|
value: 87.58295494236815 |
|
- type: dot_ap |
|
value: 83.22579579937255 |
|
- type: dot_f1 |
|
value: 75.27357054859048 |
|
- type: dot_precision |
|
value: 71.09514031485284 |
|
- type: dot_recall |
|
value: 79.97382198952879 |
|
- type: euclidean_accuracy |
|
value: 87.58295494236815 |
|
- type: euclidean_ap |
|
value: 83.22580643443949 |
|
- type: euclidean_f1 |
|
value: 75.27357054859048 |
|
- type: euclidean_precision |
|
value: 71.09514031485284 |
|
- type: euclidean_recall |
|
value: 79.97382198952879 |
|
- type: manhattan_accuracy |
|
value: 87.57325260992742 |
|
- type: manhattan_ap |
|
value: 83.05240665725778 |
|
- type: manhattan_f1 |
|
value: 75.09726237641432 |
|
- type: manhattan_precision |
|
value: 69.99800385920554 |
|
- type: manhattan_recall |
|
value: 80.99784416384355 |
|
- type: max_accuracy |
|
value: 87.58295494236815 |
|
- type: max_ap |
|
value: 83.22580643443949 |
|
- type: max_f1 |
|
value: 75.27357054859048 |
|
--- |
