|
--- |
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tags: |
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- mteb |
|
model-index: |
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- name: neural-embedding-v1 |
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results: |
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- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_counterfactual |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 93.10447761194031 |
|
- type: ap |
|
value: 72.52673607512206 |
|
- type: f1 |
|
value: 89.6752355529259 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 97.536525 |
|
- type: ap |
|
value: 96.46802431780014 |
|
- type: f1 |
|
value: 97.53623627430422 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 61.17399999999999 |
|
- type: f1 |
|
value: 60.40485236445537 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/arguana |
|
name: MTEB ArguAna |
|
config: default |
|
split: test |
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revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
metrics: |
|
- type: map_at_1 |
|
value: 44.452000000000005 |
|
- type: map_at_10 |
|
value: 59.563 |
|
- type: map_at_100 |
|
value: 60.014 |
|
- type: map_at_1000 |
|
value: 60.016000000000005 |
|
- type: map_at_20 |
|
value: 59.923 |
|
- type: map_at_3 |
|
value: 55.915000000000006 |
|
- type: map_at_5 |
|
value: 58.056 |
|
- type: mrr_at_1 |
|
value: 45.804 |
|
- type: mrr_at_10 |
|
value: 60.089999999999996 |
|
- type: mrr_at_100 |
|
value: 60.541 |
|
- type: mrr_at_1000 |
|
value: 60.543 |
|
- type: mrr_at_20 |
|
value: 60.45 |
|
- type: mrr_at_3 |
|
value: 56.294 |
|
- type: mrr_at_5 |
|
value: 58.54899999999999 |
|
- type: ndcg_at_1 |
|
value: 44.452000000000005 |
|
- type: ndcg_at_10 |
|
value: 67.208 |
|
- type: ndcg_at_100 |
|
value: 69.074 |
|
- type: ndcg_at_1000 |
|
value: 69.122 |
|
- type: ndcg_at_20 |
|
value: 68.474 |
|
- type: ndcg_at_3 |
|
value: 59.758 |
|
- type: ndcg_at_5 |
|
value: 63.621 |
|
- type: precision_at_1 |
|
value: 44.452000000000005 |
|
- type: precision_at_10 |
|
value: 9.125 |
|
- type: precision_at_100 |
|
value: 0.993 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: precision_at_20 |
|
value: 4.808 |
|
- type: precision_at_3 |
|
value: 23.637 |
|
- type: precision_at_5 |
|
value: 16.06 |
|
- type: recall_at_1 |
|
value: 44.452000000000005 |
|
- type: recall_at_10 |
|
value: 91.252 |
|
- type: recall_at_100 |
|
value: 99.289 |
|
- type: recall_at_1000 |
|
value: 99.644 |
|
- type: recall_at_20 |
|
value: 96.15899999999999 |
|
- type: recall_at_3 |
|
value: 70.91 |
|
- type: recall_at_5 |
|
value: 80.29899999999999 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-p2p |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 53.445166004781356 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 48.82101672589653 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/askubuntudupquestions-reranking |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 68.44973588765177 |
|
- type: mrr |
|
value: 80.355274150288 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/biosses-sts |
|
name: MTEB BIOSSES |
|
config: default |
|
split: test |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 90.06690068909613 |
|
- type: cos_sim_spearman |
|
value: 87.97730582741434 |
|
- type: euclidean_pearson |
|
value: 86.04185393610108 |
|
- type: euclidean_spearman |
|
value: 85.91340337831018 |
|
- type: manhattan_pearson |
|
value: 86.05913485565931 |
|
- type: manhattan_spearman |
|
value: 85.70195277713228 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 88.73376623376623 |
|
- type: f1 |
|
value: 88.67733851784945 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 48.822459956481474 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 45.068617486695764 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-android |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: f46a197baaae43b4f621051089b82a364682dfeb |
|
metrics: |
|
- type: map_at_1 |
|
value: 36.980000000000004 |
|
- type: map_at_10 |
|
value: 51.151 |
|
- type: map_at_100 |
|
value: 52.852 |
|
- type: map_at_1000 |
|
value: 52.957 |
|
- type: map_at_20 |
|
value: 52.196 |
|
- type: map_at_3 |
|
value: 46.537 |
|
- type: map_at_5 |
|
value: 49.025999999999996 |
|
- type: mrr_at_1 |
|
value: 45.494 |
|
- type: mrr_at_10 |
|
value: 56.765 |
|
- type: mrr_at_100 |
|
value: 57.483 |
|
- type: mrr_at_1000 |
|
value: 57.508 |
|
- type: mrr_at_20 |
|
value: 57.255 |
|
- type: mrr_at_3 |
|
value: 53.815000000000005 |
|
- type: mrr_at_5 |
|
value: 55.725 |
|
- type: ndcg_at_1 |
|
value: 45.494 |
|
- type: ndcg_at_10 |
|
value: 58.435 |
|
- type: ndcg_at_100 |
|
value: 63.318 |
|
- type: ndcg_at_1000 |
|
value: 64.498 |
|
- type: ndcg_at_20 |
|
value: 60.88 |
|
- type: ndcg_at_3 |
|
value: 52.307 |
|
- type: ndcg_at_5 |
|
value: 55.103 |
|
- type: precision_at_1 |
|
value: 45.494 |
|
- type: precision_at_10 |
|
value: 11.488 |
|
- type: precision_at_100 |
|
value: 1.735 |
|
- type: precision_at_1000 |
|
value: 0.215 |
|
- type: precision_at_20 |
|
value: 6.8309999999999995 |
|
- type: precision_at_3 |
|
value: 25.513 |
|
- type: precision_at_5 |
|
value: 18.282999999999998 |
|
- type: recall_at_1 |
|
value: 36.980000000000004 |
|
- type: recall_at_10 |
|
value: 72.82300000000001 |
|
- type: recall_at_100 |
|
value: 91.525 |
|
- type: recall_at_1000 |
|
value: 98.44800000000001 |
|
- type: recall_at_20 |
|
value: 81.345 |
|
- type: recall_at_3 |
|
value: 55.044000000000004 |
|
- type: recall_at_5 |
|
value: 63.441 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-english |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 37.489 |
|
- type: map_at_10 |
|
value: 50.708 |
|
- type: map_at_100 |
|
value: 52.101 |
|
- type: map_at_1000 |
|
value: 52.22 |
|
- type: map_at_20 |
|
value: 51.514 |
|
- type: map_at_3 |
|
value: 46.915 |
|
- type: map_at_5 |
|
value: 49.185 |
|
- type: mrr_at_1 |
|
value: 47.643 |
|
- type: mrr_at_10 |
|
value: 56.806 |
|
- type: mrr_at_100 |
|
value: 57.369 |
|
- type: mrr_at_1000 |
|
value: 57.399 |
|
- type: mrr_at_20 |
|
value: 57.141 |
|
- type: mrr_at_3 |
|
value: 54.437000000000005 |
|
- type: mrr_at_5 |
|
value: 55.955999999999996 |
|
- type: ndcg_at_1 |
|
value: 47.643 |
|
- type: ndcg_at_10 |
|
value: 56.989000000000004 |
|
- type: ndcg_at_100 |
|
value: 60.995999999999995 |
|
- type: ndcg_at_1000 |
|
value: 62.668 |
|
- type: ndcg_at_20 |
|
value: 58.63699999999999 |
|
- type: ndcg_at_3 |
|
value: 52.26499999999999 |
|
- type: ndcg_at_5 |
|
value: 54.684999999999995 |
|
- type: precision_at_1 |
|
value: 47.643 |
|
- type: precision_at_10 |
|
value: 10.879 |
|
- type: precision_at_100 |
|
value: 1.6320000000000001 |
|
- type: precision_at_1000 |
|
value: 0.211 |
|
- type: precision_at_20 |
|
value: 6.338000000000001 |
|
- type: precision_at_3 |
|
value: 25.52 |
|
- type: precision_at_5 |
|
value: 18.229 |
|
- type: recall_at_1 |
|
value: 37.489 |
|
- type: recall_at_10 |
|
value: 68.10300000000001 |
|
- type: recall_at_100 |
|
value: 84.497 |
|
- type: recall_at_1000 |
|
value: 94.402 |
|
- type: recall_at_20 |
|
value: 73.849 |
|
- type: recall_at_3 |
|
value: 53.925 |
|
- type: recall_at_5 |
|
value: 60.878 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-gaming |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
metrics: |
|
- type: map_at_1 |
|
value: 45.044000000000004 |
|
- type: map_at_10 |
|
value: 59.804 |
|
- type: map_at_100 |
|
value: 60.841 |
|
- type: map_at_1000 |
|
value: 60.870999999999995 |
|
- type: map_at_20 |
|
value: 60.478 |
|
- type: map_at_3 |
|
value: 56.169000000000004 |
|
- type: map_at_5 |
|
value: 58.331999999999994 |
|
- type: mrr_at_1 |
|
value: 51.849999999999994 |
|
- type: mrr_at_10 |
|
value: 63.249 |
|
- type: mrr_at_100 |
|
value: 63.786 |
|
- type: mrr_at_1000 |
|
value: 63.797000000000004 |
|
- type: mrr_at_20 |
|
value: 63.592999999999996 |
|
- type: mrr_at_3 |
|
value: 60.721000000000004 |
|
- type: mrr_at_5 |
|
value: 62.251 |
|
- type: ndcg_at_1 |
|
value: 51.849999999999994 |
|
- type: ndcg_at_10 |
|
value: 66.122 |
|
- type: ndcg_at_100 |
|
value: 69.614 |
|
- type: ndcg_at_1000 |
|
value: 70.12 |
|
- type: ndcg_at_20 |
|
value: 67.805 |
|
- type: ndcg_at_3 |
|
value: 60.348 |
|
- type: ndcg_at_5 |
|
value: 63.33800000000001 |
|
- type: precision_at_1 |
|
value: 51.849999999999994 |
|
- type: precision_at_10 |
|
value: 10.539 |
|
- type: precision_at_100 |
|
value: 1.327 |
|
- type: precision_at_1000 |
|
value: 0.13999999999999999 |
|
- type: precision_at_20 |
|
value: 5.865 |
|
- type: precision_at_3 |
|
value: 27.084999999999997 |
|
- type: precision_at_5 |
|
value: 18.483 |
|
- type: recall_at_1 |
|
value: 45.044000000000004 |
|
- type: recall_at_10 |
|
value: 81.192 |
|
- type: recall_at_100 |
|
value: 95.597 |
|
- type: recall_at_1000 |
|
value: 98.97200000000001 |
|
- type: recall_at_20 |
|
value: 87.139 |
|
- type: recall_at_3 |
|
value: 65.713 |
|
- type: recall_at_5 |
|
value: 73.213 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-gis |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.834 |
|
- type: map_at_10 |
|
value: 40.363 |
|
- type: map_at_100 |
|
value: 41.559000000000005 |
|
- type: map_at_1000 |
|
value: 41.626000000000005 |
|
- type: map_at_20 |
|
value: 41.160999999999994 |
|
- type: map_at_3 |
|
value: 36.958999999999996 |
|
- type: map_at_5 |
|
value: 38.897999999999996 |
|
- type: mrr_at_1 |
|
value: 32.429 |
|
- type: mrr_at_10 |
|
value: 42.604 |
|
- type: mrr_at_100 |
|
value: 43.54 |
|
- type: mrr_at_1000 |
|
value: 43.59 |
|
- type: mrr_at_20 |
|
value: 43.247 |
|
- type: mrr_at_3 |
|
value: 39.528999999999996 |
|
- type: mrr_at_5 |
|
value: 41.36 |
|
- type: ndcg_at_1 |
|
value: 32.429 |
|
- type: ndcg_at_10 |
|
value: 46.39 |
|
- type: ndcg_at_100 |
|
value: 51.561 |
|
- type: ndcg_at_1000 |
|
value: 53.071 |
|
- type: ndcg_at_20 |
|
value: 48.951 |
|
- type: ndcg_at_3 |
|
value: 39.796 |
|
- type: ndcg_at_5 |
|
value: 43.07 |
|
- type: precision_at_1 |
|
value: 32.429 |
|
- type: precision_at_10 |
|
value: 7.277 |
|
- type: precision_at_100 |
|
value: 1.038 |
|
- type: precision_at_1000 |
|
value: 0.11900000000000001 |
|
- type: precision_at_20 |
|
value: 4.249 |
|
- type: precision_at_3 |
|
value: 17.024 |
|
- type: precision_at_5 |
|
value: 12.113 |
|
- type: recall_at_1 |
|
value: 29.834 |
|
- type: recall_at_10 |
|
value: 62.808 |
|
- type: recall_at_100 |
|
value: 85.47200000000001 |
|
- type: recall_at_1000 |
|
value: 96.503 |
|
- type: recall_at_20 |
|
value: 72.246 |
|
- type: recall_at_3 |
|
value: 45.059 |
|
- type: recall_at_5 |
|
value: 52.907000000000004 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-mathematica |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.121 |
|
- type: map_at_10 |
|
value: 33.217 |
|
- type: map_at_100 |
|
value: 34.671 |
|
- type: map_at_1000 |
|
value: 34.77 |
|
- type: map_at_20 |
|
value: 34.039 |
|
- type: map_at_3 |
|
value: 29.389 |
|
- type: map_at_5 |
|
value: 31.749 |
|
- type: mrr_at_1 |
|
value: 27.114 |
|
- type: mrr_at_10 |
|
value: 37.730999999999995 |
|
- type: mrr_at_100 |
|
value: 38.673 |
|
- type: mrr_at_1000 |
|
value: 38.725 |
|
- type: mrr_at_20 |
|
value: 38.279 |
|
- type: mrr_at_3 |
|
value: 34.494 |
|
- type: mrr_at_5 |
|
value: 36.609 |
|
- type: ndcg_at_1 |
|
value: 27.114 |
|
- type: ndcg_at_10 |
|
value: 39.723000000000006 |
|
- type: ndcg_at_100 |
|
value: 45.847 |
|
- type: ndcg_at_1000 |
|
value: 47.879 |
|
- type: ndcg_at_20 |
|
value: 42.129 |
|
- type: ndcg_at_3 |
|
value: 33.194 |
|
- type: ndcg_at_5 |
|
value: 36.763 |
|
- type: precision_at_1 |
|
value: 27.114 |
|
- type: precision_at_10 |
|
value: 7.575 |
|
- type: precision_at_100 |
|
value: 1.218 |
|
- type: precision_at_1000 |
|
value: 0.15 |
|
- type: precision_at_20 |
|
value: 4.527 |
|
- type: precision_at_3 |
|
value: 16.252 |
|
- type: precision_at_5 |
|
value: 12.363 |
|
- type: recall_at_1 |
|
value: 22.121 |
|
- type: recall_at_10 |
|
value: 54.726 |
|
- type: recall_at_100 |
|
value: 80.662 |
|
- type: recall_at_1000 |
|
value: 94.645 |
|
- type: recall_at_20 |
|
value: 62.977000000000004 |
|
- type: recall_at_3 |
|
value: 37.348 |
|
- type: recall_at_5 |
|
value: 46.163 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-physics |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 36.346000000000004 |
|
- type: map_at_10 |
|
value: 50.034 |
|
- type: map_at_100 |
|
value: 51.37500000000001 |
|
- type: map_at_1000 |
|
value: 51.464 |
|
- type: map_at_20 |
|
value: 50.739999999999995 |
|
- type: map_at_3 |
|
value: 45.948 |
|
- type: map_at_5 |
|
value: 48.421 |
|
- type: mrr_at_1 |
|
value: 45.043 |
|
- type: mrr_at_10 |
|
value: 55.642 |
|
- type: mrr_at_100 |
|
value: 56.335 |
|
- type: mrr_at_1000 |
|
value: 56.355999999999995 |
|
- type: mrr_at_20 |
|
value: 56.027 |
|
- type: mrr_at_3 |
|
value: 53.224000000000004 |
|
- type: mrr_at_5 |
|
value: 54.798 |
|
- type: ndcg_at_1 |
|
value: 45.043 |
|
- type: ndcg_at_10 |
|
value: 56.627 |
|
- type: ndcg_at_100 |
|
value: 61.751 |
|
- type: ndcg_at_1000 |
|
value: 62.873999999999995 |
|
- type: ndcg_at_20 |
|
value: 58.521 |
|
- type: ndcg_at_3 |
|
value: 50.995999999999995 |
|
- type: ndcg_at_5 |
|
value: 54.049 |
|
- type: precision_at_1 |
|
value: 45.043 |
|
- type: precision_at_10 |
|
value: 10.51 |
|
- type: precision_at_100 |
|
value: 1.521 |
|
- type: precision_at_1000 |
|
value: 0.179 |
|
- type: precision_at_20 |
|
value: 5.958 |
|
- type: precision_at_3 |
|
value: 24.703 |
|
- type: precision_at_5 |
|
value: 17.671 |
|
- type: recall_at_1 |
|
value: 36.346000000000004 |
|
- type: recall_at_10 |
|
value: 69.95 |
|
- type: recall_at_100 |
|
value: 91.449 |
|
- type: recall_at_1000 |
|
value: 98.021 |
|
- type: recall_at_20 |
|
value: 76.522 |
|
- type: recall_at_3 |
|
value: 54.348 |
|
- type: recall_at_5 |
|
value: 62.271 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-programmers |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
metrics: |
|
- type: map_at_1 |
|
value: 28.754 |
|
- type: map_at_10 |
|
value: 42.921 |
|
- type: map_at_100 |
|
value: 44.440000000000005 |
|
- type: map_at_1000 |
|
value: 44.516 |
|
- type: map_at_20 |
|
value: 43.815 |
|
- type: map_at_3 |
|
value: 38.592999999999996 |
|
- type: map_at_5 |
|
value: 41.138999999999996 |
|
- type: mrr_at_1 |
|
value: 36.416 |
|
- type: mrr_at_10 |
|
value: 48.284 |
|
- type: mrr_at_100 |
|
value: 49.086 |
|
- type: mrr_at_1000 |
|
value: 49.116 |
|
- type: mrr_at_20 |
|
value: 48.741 |
|
- type: mrr_at_3 |
|
value: 45.301 |
|
- type: mrr_at_5 |
|
value: 47.104 |
|
- type: ndcg_at_1 |
|
value: 36.416 |
|
- type: ndcg_at_10 |
|
value: 50.257 |
|
- type: ndcg_at_100 |
|
value: 55.931 |
|
- type: ndcg_at_1000 |
|
value: 57.188 |
|
- type: ndcg_at_20 |
|
value: 52.607000000000006 |
|
- type: ndcg_at_3 |
|
value: 43.787 |
|
- type: ndcg_at_5 |
|
value: 46.941 |
|
- type: precision_at_1 |
|
value: 36.416 |
|
- type: precision_at_10 |
|
value: 9.783 |
|
- type: precision_at_100 |
|
value: 1.465 |
|
- type: precision_at_1000 |
|
value: 0.173 |
|
- type: precision_at_20 |
|
value: 5.713 |
|
- type: precision_at_3 |
|
value: 21.804000000000002 |
|
- type: precision_at_5 |
|
value: 16.05 |
|
- type: recall_at_1 |
|
value: 28.754 |
|
- type: recall_at_10 |
|
value: 66.31099999999999 |
|
- type: recall_at_100 |
|
value: 90.034 |
|
- type: recall_at_1000 |
|
value: 98.058 |
|
- type: recall_at_20 |
|
value: 74.411 |
|
- type: recall_at_3 |
|
value: 48.332 |
|
- type: recall_at_5 |
|
value: 56.548 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
metrics: |
|
- type: map_at_1 |
|
value: 30.579583333333332 |
|
- type: map_at_10 |
|
value: 42.696333333333335 |
|
- type: map_at_100 |
|
value: 44.078583333333334 |
|
- type: map_at_1000 |
|
value: 44.176333333333325 |
|
- type: map_at_20 |
|
value: 43.499833333333335 |
|
- type: map_at_3 |
|
value: 38.953583333333334 |
|
- type: map_at_5 |
|
value: 41.125583333333324 |
|
- type: mrr_at_1 |
|
value: 36.52666666666667 |
|
- type: mrr_at_10 |
|
value: 46.925666666666665 |
|
- type: mrr_at_100 |
|
value: 47.74333333333334 |
|
- type: mrr_at_1000 |
|
value: 47.78266666666667 |
|
- type: mrr_at_20 |
|
value: 47.42483333333333 |
|
- type: mrr_at_3 |
|
value: 44.068083333333334 |
|
- type: mrr_at_5 |
|
value: 45.82383333333333 |
|
- type: ndcg_at_1 |
|
value: 36.52666666666667 |
|
- type: ndcg_at_10 |
|
value: 49.1145 |
|
- type: ndcg_at_100 |
|
value: 54.340583333333335 |
|
- type: ndcg_at_1000 |
|
value: 55.90625 |
|
- type: ndcg_at_20 |
|
value: 51.32724999999999 |
|
- type: ndcg_at_3 |
|
value: 43.146 |
|
- type: ndcg_at_5 |
|
value: 46.146166666666666 |
|
- type: precision_at_1 |
|
value: 36.52666666666667 |
|
- type: precision_at_10 |
|
value: 8.866916666666667 |
|
- type: precision_at_100 |
|
value: 1.3526666666666667 |
|
- type: precision_at_1000 |
|
value: 0.1670833333333333 |
|
- type: precision_at_20 |
|
value: 5.199416666666667 |
|
- type: precision_at_3 |
|
value: 20.278333333333332 |
|
- type: precision_at_5 |
|
value: 14.614999999999997 |
|
- type: recall_at_1 |
|
value: 30.579583333333332 |
|
- type: recall_at_10 |
|
value: 63.618416666666675 |
|
- type: recall_at_100 |
|
value: 85.86858333333332 |
|
- type: recall_at_1000 |
|
value: 96.24825 |
|
- type: recall_at_20 |
|
value: 71.52533333333334 |
|
- type: recall_at_3 |
|
value: 47.18050000000001 |
|
- type: recall_at_5 |
|
value: 54.90683333333334 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-stats |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
metrics: |
|
- type: map_at_1 |
|
value: 26.180999999999997 |
|
- type: map_at_10 |
|
value: 36.4 |
|
- type: map_at_100 |
|
value: 37.464999999999996 |
|
- type: map_at_1000 |
|
value: 37.556 |
|
- type: map_at_20 |
|
value: 36.984 |
|
- type: map_at_3 |
|
value: 33.354 |
|
- type: map_at_5 |
|
value: 35.214 |
|
- type: mrr_at_1 |
|
value: 29.601 |
|
- type: mrr_at_10 |
|
value: 39.328 |
|
- type: mrr_at_100 |
|
value: 40.113 |
|
- type: mrr_at_1000 |
|
value: 40.176 |
|
- type: mrr_at_20 |
|
value: 39.751999999999995 |
|
- type: mrr_at_3 |
|
value: 36.58 |
|
- type: mrr_at_5 |
|
value: 38.313 |
|
- type: ndcg_at_1 |
|
value: 29.601 |
|
- type: ndcg_at_10 |
|
value: 42.037 |
|
- type: ndcg_at_100 |
|
value: 46.946 |
|
- type: ndcg_at_1000 |
|
value: 49.075 |
|
- type: ndcg_at_20 |
|
value: 43.827 |
|
- type: ndcg_at_3 |
|
value: 36.473 |
|
- type: ndcg_at_5 |
|
value: 39.482 |
|
- type: precision_at_1 |
|
value: 29.601 |
|
- type: precision_at_10 |
|
value: 7.009 |
|
- type: precision_at_100 |
|
value: 1.0290000000000001 |
|
- type: precision_at_1000 |
|
value: 0.129 |
|
- type: precision_at_20 |
|
value: 4.018 |
|
- type: precision_at_3 |
|
value: 16.36 |
|
- type: precision_at_5 |
|
value: 11.779 |
|
- type: recall_at_1 |
|
value: 26.180999999999997 |
|
- type: recall_at_10 |
|
value: 56.275 |
|
- type: recall_at_100 |
|
value: 78.61200000000001 |
|
- type: recall_at_1000 |
|
value: 93.887 |
|
- type: recall_at_20 |
|
value: 62.798 |
|
- type: recall_at_3 |
|
value: 41.157 |
|
- type: recall_at_5 |
|
value: 48.49 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-tex |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: 46989137a86843e03a6195de44b09deda022eec7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 20.205000000000002 |
|
- type: map_at_10 |
|
value: 29.947000000000003 |
|
- type: map_at_100 |
|
value: 31.342 |
|
- type: map_at_1000 |
|
value: 31.458000000000002 |
|
- type: map_at_20 |
|
value: 30.741000000000003 |
|
- type: map_at_3 |
|
value: 26.568 |
|
- type: map_at_5 |
|
value: 28.372999999999998 |
|
- type: mrr_at_1 |
|
value: 24.742 |
|
- type: mrr_at_10 |
|
value: 33.941 |
|
- type: mrr_at_100 |
|
value: 34.92 |
|
- type: mrr_at_1000 |
|
value: 34.981 |
|
- type: mrr_at_20 |
|
value: 34.509 |
|
- type: mrr_at_3 |
|
value: 31.097 |
|
- type: mrr_at_5 |
|
value: 32.631 |
|
- type: ndcg_at_1 |
|
value: 24.742 |
|
- type: ndcg_at_10 |
|
value: 35.884 |
|
- type: ndcg_at_100 |
|
value: 41.839999999999996 |
|
- type: ndcg_at_1000 |
|
value: 44.162 |
|
- type: ndcg_at_20 |
|
value: 38.273 |
|
- type: ndcg_at_3 |
|
value: 30.073 |
|
- type: ndcg_at_5 |
|
value: 32.617000000000004 |
|
- type: precision_at_1 |
|
value: 24.742 |
|
- type: precision_at_10 |
|
value: 6.958 |
|
- type: precision_at_100 |
|
value: 1.155 |
|
- type: precision_at_1000 |
|
value: 0.154 |
|
- type: precision_at_20 |
|
value: 4.202 |
|
- type: precision_at_3 |
|
value: 14.568 |
|
- type: precision_at_5 |
|
value: 10.757 |
|
- type: recall_at_1 |
|
value: 20.205000000000002 |
|
- type: recall_at_10 |
|
value: 49.603 |
|
- type: recall_at_100 |
|
value: 75.77000000000001 |
|
- type: recall_at_1000 |
|
value: 91.767 |
|
- type: recall_at_20 |
|
value: 58.309 |
|
- type: recall_at_3 |
|
value: 33.353 |
|
- type: recall_at_5 |
|
value: 39.947 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-unix |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
metrics: |
|
- type: map_at_1 |
|
value: 31.543 |
|
- type: map_at_10 |
|
value: 43.895 |
|
- type: map_at_100 |
|
value: 45.233000000000004 |
|
- type: map_at_1000 |
|
value: 45.314 |
|
- type: map_at_20 |
|
value: 44.707 |
|
- type: map_at_3 |
|
value: 40.165 |
|
- type: map_at_5 |
|
value: 42.353 |
|
- type: mrr_at_1 |
|
value: 37.5 |
|
- type: mrr_at_10 |
|
value: 47.814 |
|
- type: mrr_at_100 |
|
value: 48.701 |
|
- type: mrr_at_1000 |
|
value: 48.74 |
|
- type: mrr_at_20 |
|
value: 48.378 |
|
- type: mrr_at_3 |
|
value: 45.04 |
|
- type: mrr_at_5 |
|
value: 46.729 |
|
- type: ndcg_at_1 |
|
value: 37.5 |
|
- type: ndcg_at_10 |
|
value: 50.312999999999995 |
|
- type: ndcg_at_100 |
|
value: 55.696999999999996 |
|
- type: ndcg_at_1000 |
|
value: 57.135000000000005 |
|
- type: ndcg_at_20 |
|
value: 52.734 |
|
- type: ndcg_at_3 |
|
value: 44.263000000000005 |
|
- type: ndcg_at_5 |
|
value: 47.268 |
|
- type: precision_at_1 |
|
value: 37.5 |
|
- type: precision_at_10 |
|
value: 8.871 |
|
- type: precision_at_100 |
|
value: 1.278 |
|
- type: precision_at_1000 |
|
value: 0.149 |
|
- type: precision_at_20 |
|
value: 5.117 |
|
- type: precision_at_3 |
|
value: 20.709 |
|
- type: precision_at_5 |
|
value: 14.832 |
|
- type: recall_at_1 |
|
value: 31.543 |
|
- type: recall_at_10 |
|
value: 65.694 |
|
- type: recall_at_100 |
|
value: 88.105 |
|
- type: recall_at_1000 |
|
value: 97.38 |
|
- type: recall_at_20 |
|
value: 74.307 |
|
- type: recall_at_3 |
|
value: 49.254999999999995 |
|
- type: recall_at_5 |
|
value: 56.85 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-webmasters |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.325000000000003 |
|
- type: map_at_10 |
|
value: 40.653 |
|
- type: map_at_100 |
|
value: 42.568 |
|
- type: map_at_1000 |
|
value: 42.782 |
|
- type: map_at_20 |
|
value: 41.638999999999996 |
|
- type: map_at_3 |
|
value: 36.726 |
|
- type: map_at_5 |
|
value: 38.911 |
|
- type: mrr_at_1 |
|
value: 34.98 |
|
- type: mrr_at_10 |
|
value: 45.281 |
|
- type: mrr_at_100 |
|
value: 46.255 |
|
- type: mrr_at_1000 |
|
value: 46.29 |
|
- type: mrr_at_20 |
|
value: 45.94 |
|
- type: mrr_at_3 |
|
value: 41.831 |
|
- type: mrr_at_5 |
|
value: 44.045 |
|
- type: ndcg_at_1 |
|
value: 34.98 |
|
- type: ndcg_at_10 |
|
value: 47.629 |
|
- type: ndcg_at_100 |
|
value: 53.912000000000006 |
|
- type: ndcg_at_1000 |
|
value: 55.48 |
|
- type: ndcg_at_20 |
|
value: 50.281 |
|
- type: ndcg_at_3 |
|
value: 41.211999999999996 |
|
- type: ndcg_at_5 |
|
value: 44.529 |
|
- type: precision_at_1 |
|
value: 34.98 |
|
- type: precision_at_10 |
|
value: 9.229 |
|
- type: precision_at_100 |
|
value: 1.854 |
|
- type: precision_at_1000 |
|
value: 0.258 |
|
- type: precision_at_20 |
|
value: 5.8500000000000005 |
|
- type: precision_at_3 |
|
value: 19.631 |
|
- type: precision_at_5 |
|
value: 14.506 |
|
- type: recall_at_1 |
|
value: 29.325000000000003 |
|
- type: recall_at_10 |
|
value: 61.894000000000005 |
|
- type: recall_at_100 |
|
value: 88.684 |
|
- type: recall_at_1000 |
|
value: 97.83800000000001 |
|
- type: recall_at_20 |
|
value: 71.758 |
|
- type: recall_at_3 |
|
value: 44.265 |
|
- type: recall_at_5 |
|
value: 53.051 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-wordpress |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 23.133 |
|
- type: map_at_10 |
|
value: 33.263 |
|
- type: map_at_100 |
|
value: 34.496 |
|
- type: map_at_1000 |
|
value: 34.582 |
|
- type: map_at_20 |
|
value: 33.983999999999995 |
|
- type: map_at_3 |
|
value: 30.12 |
|
- type: map_at_5 |
|
value: 31.906000000000002 |
|
- type: mrr_at_1 |
|
value: 25.507999999999996 |
|
- type: mrr_at_10 |
|
value: 35.663 |
|
- type: mrr_at_100 |
|
value: 36.659000000000006 |
|
- type: mrr_at_1000 |
|
value: 36.714 |
|
- type: mrr_at_20 |
|
value: 36.236000000000004 |
|
- type: mrr_at_3 |
|
value: 32.748 |
|
- type: mrr_at_5 |
|
value: 34.365 |
|
- type: ndcg_at_1 |
|
value: 25.507999999999996 |
|
- type: ndcg_at_10 |
|
value: 38.968 |
|
- type: ndcg_at_100 |
|
value: 44.674 |
|
- type: ndcg_at_1000 |
|
value: 46.725 |
|
- type: ndcg_at_20 |
|
value: 41.282000000000004 |
|
- type: ndcg_at_3 |
|
value: 33.038000000000004 |
|
- type: ndcg_at_5 |
|
value: 35.909 |
|
- type: precision_at_1 |
|
value: 25.507999999999996 |
|
- type: precision_at_10 |
|
value: 6.285 |
|
- type: precision_at_100 |
|
value: 0.98 |
|
- type: precision_at_1000 |
|
value: 0.128 |
|
- type: precision_at_20 |
|
value: 3.7249999999999996 |
|
- type: precision_at_3 |
|
value: 14.171 |
|
- type: precision_at_5 |
|
value: 10.314 |
|
- type: recall_at_1 |
|
value: 23.133 |
|
- type: recall_at_10 |
|
value: 54.042 |
|
- type: recall_at_100 |
|
value: 80.01599999999999 |
|
- type: recall_at_1000 |
|
value: 95.05799999999999 |
|
- type: recall_at_20 |
|
value: 62.643 |
|
- type: recall_at_3 |
|
value: 38.367000000000004 |
|
- type: recall_at_5 |
|
value: 45.123000000000005 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/climate-fever |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
metrics: |
|
- type: map_at_1 |
|
value: 13.923 |
|
- type: map_at_10 |
|
value: 23.415 |
|
- type: map_at_100 |
|
value: 25.389 |
|
- type: map_at_1000 |
|
value: 25.539 |
|
- type: map_at_20 |
|
value: 24.462 |
|
- type: map_at_3 |
|
value: 19.719 |
|
- type: map_at_5 |
|
value: 21.75 |
|
- type: mrr_at_1 |
|
value: 31.205 |
|
- type: mrr_at_10 |
|
value: 43.196 |
|
- type: mrr_at_100 |
|
value: 44.039 |
|
- type: mrr_at_1000 |
|
value: 44.071 |
|
- type: mrr_at_20 |
|
value: 43.744 |
|
- type: mrr_at_3 |
|
value: 40.033 |
|
- type: mrr_at_5 |
|
value: 41.967 |
|
- type: ndcg_at_1 |
|
value: 31.205 |
|
- type: ndcg_at_10 |
|
value: 32.304 |
|
- type: ndcg_at_100 |
|
value: 39.717 |
|
- type: ndcg_at_1000 |
|
value: 42.559999999999995 |
|
- type: ndcg_at_20 |
|
value: 35.166 |
|
- type: ndcg_at_3 |
|
value: 26.955000000000002 |
|
- type: ndcg_at_5 |
|
value: 28.967 |
|
- type: precision_at_1 |
|
value: 31.205 |
|
- type: precision_at_10 |
|
value: 9.948 |
|
- type: precision_at_100 |
|
value: 1.7870000000000001 |
|
- type: precision_at_1000 |
|
value: 0.233 |
|
- type: precision_at_20 |
|
value: 6.205 |
|
- type: precision_at_3 |
|
value: 20.108999999999998 |
|
- type: precision_at_5 |
|
value: 15.453 |
|
- type: recall_at_1 |
|
value: 13.923 |
|
- type: recall_at_10 |
|
value: 37.885000000000005 |
|
- type: recall_at_100 |
|
value: 63.352 |
|
- type: recall_at_1000 |
|
value: 79.372 |
|
- type: recall_at_20 |
|
value: 45.954 |
|
- type: recall_at_3 |
|
value: 24.511 |
|
- type: recall_at_5 |
|
value: 30.451 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/dbpedia |
|
name: MTEB DBPedia |
|
config: default |
|
split: test |
|
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.584 |
|
- type: map_at_10 |
|
value: 23.432 |
|
- type: map_at_100 |
|
value: 32.513 |
|
- type: map_at_1000 |
|
value: 34.27 |
|
- type: map_at_20 |
|
value: 27.18 |
|
- type: map_at_3 |
|
value: 16.145 |
|
- type: map_at_5 |
|
value: 19.405 |
|
- type: mrr_at_1 |
|
value: 74.5 |
|
- type: mrr_at_10 |
|
value: 81.233 |
|
- type: mrr_at_100 |
|
value: 81.463 |
|
- type: mrr_at_1000 |
|
value: 81.46900000000001 |
|
- type: mrr_at_20 |
|
value: 81.394 |
|
- type: mrr_at_3 |
|
value: 79.958 |
|
- type: mrr_at_5 |
|
value: 80.808 |
|
- type: ndcg_at_1 |
|
value: 62.125 |
|
- type: ndcg_at_10 |
|
value: 48.047000000000004 |
|
- type: ndcg_at_100 |
|
value: 52.251999999999995 |
|
- type: ndcg_at_1000 |
|
value: 59.353 |
|
- type: ndcg_at_20 |
|
value: 47.264 |
|
- type: ndcg_at_3 |
|
value: 52.891999999999996 |
|
- type: ndcg_at_5 |
|
value: 50.766999999999996 |
|
- type: precision_at_1 |
|
value: 74.5 |
|
- type: precision_at_10 |
|
value: 38.15 |
|
- type: precision_at_100 |
|
value: 11.51 |
|
- type: precision_at_1000 |
|
value: 2.183 |
|
- type: precision_at_20 |
|
value: 28.749999999999996 |
|
- type: precision_at_3 |
|
value: 56.25 |
|
- type: precision_at_5 |
|
value: 49.1 |
|
- type: recall_at_1 |
|
value: 9.584 |
|
- type: recall_at_10 |
|
value: 29.215999999999998 |
|
- type: recall_at_100 |
|
value: 57.914 |
|
- type: recall_at_1000 |
|
value: 80.67699999999999 |
|
- type: recall_at_20 |
|
value: 37.358000000000004 |
|
- type: recall_at_3 |
|
value: 17.422 |
|
- type: recall_at_5 |
|
value: 22.345000000000002 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 91.36000000000001 |
|
- type: f1 |
|
value: 87.72724279223316 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/fever |
|
name: MTEB FEVER |
|
config: default |
|
split: test |
|
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
metrics: |
|
- type: map_at_1 |
|
value: 78.81700000000001 |
|
- type: map_at_10 |
|
value: 86.392 |
|
- type: map_at_100 |
|
value: 86.6 |
|
- type: map_at_1000 |
|
value: 86.611 |
|
- type: map_at_20 |
|
value: 86.521 |
|
- type: map_at_3 |
|
value: 85.31 |
|
- type: map_at_5 |
|
value: 86.047 |
|
- type: mrr_at_1 |
|
value: 84.878 |
|
- type: mrr_at_10 |
|
value: 90.359 |
|
- type: mrr_at_100 |
|
value: 90.426 |
|
- type: mrr_at_1000 |
|
value: 90.427 |
|
- type: mrr_at_20 |
|
value: 90.405 |
|
- type: mrr_at_3 |
|
value: 89.761 |
|
- type: mrr_at_5 |
|
value: 90.191 |
|
- type: ndcg_at_1 |
|
value: 84.878 |
|
- type: ndcg_at_10 |
|
value: 89.459 |
|
- type: ndcg_at_100 |
|
value: 90.171 |
|
- type: ndcg_at_1000 |
|
value: 90.349 |
|
- type: ndcg_at_20 |
|
value: 89.788 |
|
- type: ndcg_at_3 |
|
value: 87.908 |
|
- type: ndcg_at_5 |
|
value: 88.844 |
|
- type: precision_at_1 |
|
value: 84.878 |
|
- type: precision_at_10 |
|
value: 10.639 |
|
- type: precision_at_100 |
|
value: 1.123 |
|
- type: precision_at_1000 |
|
value: 0.11499999999999999 |
|
- type: precision_at_20 |
|
value: 5.427 |
|
- type: precision_at_3 |
|
value: 33.333 |
|
- type: precision_at_5 |
|
value: 20.696 |
|
- type: recall_at_1 |
|
value: 78.81700000000001 |
|
- type: recall_at_10 |
|
value: 94.959 |
|
- type: recall_at_100 |
|
value: 97.72800000000001 |
|
- type: recall_at_1000 |
|
value: 98.791 |
|
- type: recall_at_20 |
|
value: 96.036 |
|
- type: recall_at_3 |
|
value: 90.727 |
|
- type: recall_at_5 |
|
value: 93.12899999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/fiqa |
|
name: MTEB FiQA2018 |
|
config: default |
|
split: test |
|
revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.596 |
|
- type: map_at_10 |
|
value: 50.833 |
|
- type: map_at_100 |
|
value: 53.034000000000006 |
|
- type: map_at_1000 |
|
value: 53.135 |
|
- type: map_at_20 |
|
value: 52.195 |
|
- type: map_at_3 |
|
value: 44.247 |
|
- type: map_at_5 |
|
value: 48.107 |
|
- type: mrr_at_1 |
|
value: 57.87 |
|
- type: mrr_at_10 |
|
value: 65.566 |
|
- type: mrr_at_100 |
|
value: 66.15299999999999 |
|
- type: mrr_at_1000 |
|
value: 66.168 |
|
- type: mrr_at_20 |
|
value: 65.923 |
|
- type: mrr_at_3 |
|
value: 63.55499999999999 |
|
- type: mrr_at_5 |
|
value: 64.727 |
|
- type: ndcg_at_1 |
|
value: 57.87 |
|
- type: ndcg_at_10 |
|
value: 58.943999999999996 |
|
- type: ndcg_at_100 |
|
value: 65.283 |
|
- type: ndcg_at_1000 |
|
value: 66.706 |
|
- type: ndcg_at_20 |
|
value: 61.778999999999996 |
|
- type: ndcg_at_3 |
|
value: 54.554 |
|
- type: ndcg_at_5 |
|
value: 56.159000000000006 |
|
- type: precision_at_1 |
|
value: 57.87 |
|
- type: precision_at_10 |
|
value: 16.435 |
|
- type: precision_at_100 |
|
value: 2.307 |
|
- type: precision_at_1000 |
|
value: 0.256 |
|
- type: precision_at_20 |
|
value: 9.522 |
|
- type: precision_at_3 |
|
value: 36.986000000000004 |
|
- type: precision_at_5 |
|
value: 27.16 |
|
- type: recall_at_1 |
|
value: 29.596 |
|
- type: recall_at_10 |
|
value: 66.705 |
|
- type: recall_at_100 |
|
value: 89.45 |
|
- type: recall_at_1000 |
|
value: 97.758 |
|
- type: recall_at_20 |
|
value: 75.13300000000001 |
|
- type: recall_at_3 |
|
value: 49.689 |
|
- type: recall_at_5 |
|
value: 57.701 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/hotpotqa |
|
name: MTEB HotpotQA |
|
config: default |
|
split: test |
|
revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
|
metrics: |
|
- type: map_at_1 |
|
value: 42.532 |
|
- type: map_at_10 |
|
value: 71.931 |
|
- type: map_at_100 |
|
value: 72.623 |
|
- type: map_at_1000 |
|
value: 72.662 |
|
- type: map_at_20 |
|
value: 72.355 |
|
- type: map_at_3 |
|
value: 68.72200000000001 |
|
- type: map_at_5 |
|
value: 70.813 |
|
- type: mrr_at_1 |
|
value: 85.064 |
|
- type: mrr_at_10 |
|
value: 89.69500000000001 |
|
- type: mrr_at_100 |
|
value: 89.792 |
|
- type: mrr_at_1000 |
|
value: 89.795 |
|
- type: mrr_at_20 |
|
value: 89.759 |
|
- type: mrr_at_3 |
|
value: 89.129 |
|
- type: mrr_at_5 |
|
value: 89.5 |
|
- type: ndcg_at_1 |
|
value: 85.064 |
|
- type: ndcg_at_10 |
|
value: 78.86999999999999 |
|
- type: ndcg_at_100 |
|
value: 81.134 |
|
- type: ndcg_at_1000 |
|
value: 81.862 |
|
- type: ndcg_at_20 |
|
value: 79.888 |
|
- type: ndcg_at_3 |
|
value: 74.579 |
|
- type: ndcg_at_5 |
|
value: 77.086 |
|
- type: precision_at_1 |
|
value: 85.064 |
|
- type: precision_at_10 |
|
value: 16.433 |
|
- type: precision_at_100 |
|
value: 1.818 |
|
- type: precision_at_1000 |
|
value: 0.191 |
|
- type: precision_at_20 |
|
value: 8.545 |
|
- type: precision_at_3 |
|
value: 48.508 |
|
- type: precision_at_5 |
|
value: 31.084 |
|
- type: recall_at_1 |
|
value: 42.532 |
|
- type: recall_at_10 |
|
value: 82.167 |
|
- type: recall_at_100 |
|
value: 90.905 |
|
- type: recall_at_1000 |
|
value: 95.699 |
|
- type: recall_at_20 |
|
value: 85.449 |
|
- type: recall_at_3 |
|
value: 72.762 |
|
- type: recall_at_5 |
|
value: 77.711 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 96.91919999999999 |
|
- type: ap |
|
value: 95.88443935380744 |
|
- type: f1 |
|
value: 96.91873838978964 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/msmarco |
|
name: MTEB MSMARCO |
|
config: default |
|
split: dev |
|
revision: c5a29a104738b98a9e76336939199e264163d4a0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.747 |
|
- type: map_at_10 |
|
value: 34.764 |
|
- type: map_at_100 |
|
value: 35.981 |
|
- type: map_at_1000 |
|
value: 36.027 |
|
- type: map_at_20 |
|
value: 35.557 |
|
- type: map_at_3 |
|
value: 30.770999999999997 |
|
- type: map_at_5 |
|
value: 33.07 |
|
- type: mrr_at_1 |
|
value: 22.421 |
|
- type: mrr_at_10 |
|
value: 35.417 |
|
- type: mrr_at_100 |
|
value: 36.57 |
|
- type: mrr_at_1000 |
|
value: 36.61 |
|
- type: mrr_at_20 |
|
value: 36.174 |
|
- type: mrr_at_3 |
|
value: 31.516 |
|
- type: mrr_at_5 |
|
value: 33.783 |
|
- type: ndcg_at_1 |
|
value: 22.421 |
|
- type: ndcg_at_10 |
|
value: 42.003 |
|
- type: ndcg_at_100 |
|
value: 47.674 |
|
- type: ndcg_at_1000 |
|
value: 48.783 |
|
- type: ndcg_at_20 |
|
value: 44.789 |
|
- type: ndcg_at_3 |
|
value: 33.918 |
|
- type: ndcg_at_5 |
|
value: 38.011 |
|
- type: precision_at_1 |
|
value: 22.421 |
|
- type: precision_at_10 |
|
value: 6.712 |
|
- type: precision_at_100 |
|
value: 0.9520000000000001 |
|
- type: precision_at_1000 |
|
value: 0.105 |
|
- type: precision_at_20 |
|
value: 3.9309999999999996 |
|
- type: precision_at_3 |
|
value: 14.632000000000001 |
|
- type: precision_at_5 |
|
value: 10.845 |
|
- type: recall_at_1 |
|
value: 21.747 |
|
- type: recall_at_10 |
|
value: 64.2 |
|
- type: recall_at_100 |
|
value: 90.04100000000001 |
|
- type: recall_at_1000 |
|
value: 98.41499999999999 |
|
- type: recall_at_20 |
|
value: 74.982 |
|
- type: recall_at_3 |
|
value: 42.303000000000004 |
|
- type: recall_at_5 |
|
value: 52.11 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 99.02872777017784 |
|
- type: f1 |
|
value: 98.8785703018425 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 90.93935248518011 |
|
- type: f1 |
|
value: 75.46510480635821 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 82.49831876260927 |
|
- type: f1 |
|
value: 79.43439001730579 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 84.50235373234702 |
|
- type: f1 |
|
value: 84.03906668934695 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 42.634572576984716 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 40.96861872930255 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/mind_small |
|
name: MTEB MindSmallReranking |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 31.986207669202933 |
|
- type: mrr |
|
value: 33.11375583060012 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/nfcorpus |
|
name: MTEB NFCorpus |
|
config: default |
|
split: test |
|
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.783 |
|
- type: map_at_10 |
|
value: 16.276 |
|
- type: map_at_100 |
|
value: 21.324 |
|
- type: map_at_1000 |
|
value: 23.166 |
|
- type: map_at_20 |
|
value: 18.383 |
|
- type: map_at_3 |
|
value: 11.296000000000001 |
|
- type: map_at_5 |
|
value: 13.504 |
|
- type: mrr_at_1 |
|
value: 53.559999999999995 |
|
- type: mrr_at_10 |
|
value: 61.589000000000006 |
|
- type: mrr_at_100 |
|
value: 62.11600000000001 |
|
- type: mrr_at_1000 |
|
value: 62.158 |
|
- type: mrr_at_20 |
|
value: 61.976 |
|
- type: mrr_at_3 |
|
value: 59.855999999999995 |
|
- type: mrr_at_5 |
|
value: 60.877 |
|
- type: ndcg_at_1 |
|
value: 50.15500000000001 |
|
- type: ndcg_at_10 |
|
value: 42.598 |
|
- type: ndcg_at_100 |
|
value: 39.15 |
|
- type: ndcg_at_1000 |
|
value: 47.888999999999996 |
|
- type: ndcg_at_20 |
|
value: 39.956 |
|
- type: ndcg_at_3 |
|
value: 46.836 |
|
- type: ndcg_at_5 |
|
value: 45.001000000000005 |
|
- type: precision_at_1 |
|
value: 52.322 |
|
- type: precision_at_10 |
|
value: 32.601 |
|
- type: precision_at_100 |
|
value: 10.145999999999999 |
|
- type: precision_at_1000 |
|
value: 2.358 |
|
- type: precision_at_20 |
|
value: 24.025 |
|
- type: precision_at_3 |
|
value: 44.169000000000004 |
|
- type: precision_at_5 |
|
value: 39.628 |
|
- type: recall_at_1 |
|
value: 6.783 |
|
- type: recall_at_10 |
|
value: 21.175 |
|
- type: recall_at_100 |
|
value: 40.097 |
|
- type: recall_at_1000 |
|
value: 71.65 |
|
- type: recall_at_20 |
|
value: 26.465 |
|
- type: recall_at_3 |
|
value: 12.589 |
|
- type: recall_at_5 |
|
value: 15.867999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/nq |
|
name: MTEB NQ |
|
config: default |
|
split: test |
|
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 |
|
metrics: |
|
- type: map_at_1 |
|
value: 43.376 |
|
- type: map_at_10 |
|
value: 60.968 |
|
- type: map_at_100 |
|
value: 61.614999999999995 |
|
- type: map_at_1000 |
|
value: 61.626000000000005 |
|
- type: map_at_20 |
|
value: 61.441 |
|
- type: map_at_3 |
|
value: 56.858 |
|
- type: map_at_5 |
|
value: 59.476 |
|
- type: mrr_at_1 |
|
value: 48.841 |
|
- type: mrr_at_10 |
|
value: 63.366 |
|
- type: mrr_at_100 |
|
value: 63.79 |
|
- type: mrr_at_1000 |
|
value: 63.797000000000004 |
|
- type: mrr_at_20 |
|
value: 63.682 |
|
- type: mrr_at_3 |
|
value: 60.535000000000004 |
|
- type: mrr_at_5 |
|
value: 62.348000000000006 |
|
- type: ndcg_at_1 |
|
value: 48.841 |
|
- type: ndcg_at_10 |
|
value: 68.362 |
|
- type: ndcg_at_100 |
|
value: 70.799 |
|
- type: ndcg_at_1000 |
|
value: 71.004 |
|
- type: ndcg_at_20 |
|
value: 69.804 |
|
- type: ndcg_at_3 |
|
value: 61.251 |
|
- type: ndcg_at_5 |
|
value: 65.28500000000001 |
|
- type: precision_at_1 |
|
value: 48.841 |
|
- type: precision_at_10 |
|
value: 10.588000000000001 |
|
- type: precision_at_100 |
|
value: 1.194 |
|
- type: precision_at_1000 |
|
value: 0.121 |
|
- type: precision_at_20 |
|
value: 5.646 |
|
- type: precision_at_3 |
|
value: 27.298000000000002 |
|
- type: precision_at_5 |
|
value: 18.841 |
|
- type: recall_at_1 |
|
value: 43.376 |
|
- type: recall_at_10 |
|
value: 88.053 |
|
- type: recall_at_100 |
|
value: 98.194 |
|
- type: recall_at_1000 |
|
value: 99.67200000000001 |
|
- type: recall_at_20 |
|
value: 93.318 |
|
- type: recall_at_3 |
|
value: 70.281 |
|
- type: recall_at_5 |
|
value: 79.28 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/quora |
|
name: MTEB QuoraRetrieval |
|
config: default |
|
split: test |
|
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259 |
|
metrics: |
|
- type: map_at_1 |
|
value: 71.477 |
|
- type: map_at_10 |
|
value: 85.548 |
|
- type: map_at_100 |
|
value: 86.187 |
|
- type: map_at_1000 |
|
value: 86.199 |
|
- type: map_at_20 |
|
value: 85.971 |
|
- type: map_at_3 |
|
value: 82.50999999999999 |
|
- type: map_at_5 |
|
value: 84.447 |
|
- type: mrr_at_1 |
|
value: 82.35 |
|
- type: mrr_at_10 |
|
value: 88.039 |
|
- type: mrr_at_100 |
|
value: 88.14699999999999 |
|
- type: mrr_at_1000 |
|
value: 88.14699999999999 |
|
- type: mrr_at_20 |
|
value: 88.12100000000001 |
|
- type: mrr_at_3 |
|
value: 87.048 |
|
- type: mrr_at_5 |
|
value: 87.73100000000001 |
|
- type: ndcg_at_1 |
|
value: 82.35 |
|
- type: ndcg_at_10 |
|
value: 89.024 |
|
- type: ndcg_at_100 |
|
value: 90.18599999999999 |
|
- type: ndcg_at_1000 |
|
value: 90.245 |
|
- type: ndcg_at_20 |
|
value: 89.67399999999999 |
|
- type: ndcg_at_3 |
|
value: 86.167 |
|
- type: ndcg_at_5 |
|
value: 87.779 |
|
- type: precision_at_1 |
|
value: 82.35 |
|
- type: precision_at_10 |
|
value: 13.565 |
|
- type: precision_at_100 |
|
value: 1.544 |
|
- type: precision_at_1000 |
|
value: 0.157 |
|
- type: precision_at_20 |
|
value: 7.2010000000000005 |
|
- type: precision_at_3 |
|
value: 37.773 |
|
- type: precision_at_5 |
|
value: 24.924 |
|
- type: recall_at_1 |
|
value: 71.477 |
|
- type: recall_at_10 |
|
value: 95.821 |
|
- type: recall_at_100 |
|
value: 99.737 |
|
- type: recall_at_1000 |
|
value: 99.98599999999999 |
|
- type: recall_at_20 |
|
value: 97.90100000000001 |
|
- type: recall_at_3 |
|
value: 87.61 |
|
- type: recall_at_5 |
|
value: 92.135 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 66.43811157811552 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33 |
|
metrics: |
|
- type: v_measure |
|
value: 69.56403346330322 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/scidocs |
|
name: MTEB SCIDOCS |
|
config: default |
|
split: test |
|
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.253 |
|
- type: map_at_10 |
|
value: 17.379 |
|
- type: map_at_100 |
|
value: 20.51 |
|
- type: map_at_1000 |
|
value: 20.881 |
|
- type: map_at_20 |
|
value: 18.983 |
|
- type: map_at_3 |
|
value: 12.061 |
|
- type: map_at_5 |
|
value: 14.546000000000001 |
|
- type: mrr_at_1 |
|
value: 30.8 |
|
- type: mrr_at_10 |
|
value: 43.814 |
|
- type: mrr_at_100 |
|
value: 44.883 |
|
- type: mrr_at_1000 |
|
value: 44.906 |
|
- type: mrr_at_20 |
|
value: 44.555 |
|
- type: mrr_at_3 |
|
value: 40.416999999999994 |
|
- type: mrr_at_5 |
|
value: 42.482 |
|
- type: ndcg_at_1 |
|
value: 30.8 |
|
- type: ndcg_at_10 |
|
value: 27.694999999999997 |
|
- type: ndcg_at_100 |
|
value: 38.248 |
|
- type: ndcg_at_1000 |
|
value: 43.547000000000004 |
|
- type: ndcg_at_20 |
|
value: 31.573 |
|
- type: ndcg_at_3 |
|
value: 26.239 |
|
- type: ndcg_at_5 |
|
value: 22.817999999999998 |
|
- type: precision_at_1 |
|
value: 30.8 |
|
- type: precision_at_10 |
|
value: 14.540000000000001 |
|
- type: precision_at_100 |
|
value: 2.9690000000000003 |
|
- type: precision_at_1000 |
|
value: 0.422 |
|
- type: precision_at_20 |
|
value: 9.5 |
|
- type: precision_at_3 |
|
value: 24.967 |
|
- type: precision_at_5 |
|
value: 20.22 |
|
- type: recall_at_1 |
|
value: 6.253 |
|
- type: recall_at_10 |
|
value: 29.465000000000003 |
|
- type: recall_at_100 |
|
value: 60.28 |
|
- type: recall_at_1000 |
|
value: 85.712 |
|
- type: recall_at_20 |
|
value: 38.578 |
|
- type: recall_at_3 |
|
value: 15.201999999999998 |
|
- type: recall_at_5 |
|
value: 20.507 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sickr-sts |
|
name: MTEB SICK-R |
|
config: default |
|
split: test |
|
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 86.88263045065128 |
|
- type: cos_sim_spearman |
|
value: 83.2199052396249 |
|
- type: euclidean_pearson |
|
value: 83.89316748784084 |
|
- type: euclidean_spearman |
|
value: 82.80089923470608 |
|
- type: manhattan_pearson |
|
value: 83.79340504513027 |
|
- type: manhattan_spearman |
|
value: 82.57647453394455 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts12-sts |
|
name: MTEB STS12 |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 87.23417612553622 |
|
- type: cos_sim_spearman |
|
value: 79.40077017685032 |
|
- type: euclidean_pearson |
|
value: 82.98069591415172 |
|
- type: euclidean_spearman |
|
value: 77.72626690650102 |
|
- type: manhattan_pearson |
|
value: 83.2549008896714 |
|
- type: manhattan_spearman |
|
value: 77.97517379409553 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts13-sts |
|
name: MTEB STS13 |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 89.94319057478221 |
|
- type: cos_sim_spearman |
|
value: 89.57673217959568 |
|
- type: euclidean_pearson |
|
value: 88.52164819479393 |
|
- type: euclidean_spearman |
|
value: 89.28792930444656 |
|
- type: manhattan_pearson |
|
value: 88.63748131889201 |
|
- type: manhattan_spearman |
|
value: 89.5337354128652 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts14-sts |
|
name: MTEB STS14 |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 87.0002285020644 |
|
- type: cos_sim_spearman |
|
value: 84.85558709405255 |
|
- type: euclidean_pearson |
|
value: 85.76743275817024 |
|
- type: euclidean_spearman |
|
value: 84.7900299161083 |
|
- type: manhattan_pearson |
|
value: 85.81372778099167 |
|
- type: manhattan_spearman |
|
value: 84.88975144080597 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts15-sts |
|
name: MTEB STS15 |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 89.90992300865088 |
|
- type: cos_sim_spearman |
|
value: 89.89952259773258 |
|
- type: euclidean_pearson |
|
value: 88.95472170794739 |
|
- type: euclidean_spearman |
|
value: 89.79840257558794 |
|
- type: manhattan_pearson |
|
value: 89.00903847816028 |
|
- type: manhattan_spearman |
|
value: 89.99292271664685 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts16-sts |
|
name: MTEB STS16 |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.75044299994977 |
|
- type: cos_sim_spearman |
|
value: 86.31137676221347 |
|
- type: euclidean_pearson |
|
value: 85.03198959400133 |
|
- type: euclidean_spearman |
|
value: 85.62611072515675 |
|
- type: manhattan_pearson |
|
value: 85.11681545306745 |
|
- type: manhattan_spearman |
|
value: 85.75766564037835 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts17-crosslingual-sts |
|
name: MTEB STS17 (en-en) |
|
config: en-en |
|
split: test |
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 91.85595137809975 |
|
- type: cos_sim_spearman |
|
value: 91.19454529401669 |
|
- type: euclidean_pearson |
|
value: 90.88727698604517 |
|
- type: euclidean_spearman |
|
value: 90.93184869101279 |
|
- type: manhattan_pearson |
|
value: 90.79591587599141 |
|
- type: manhattan_spearman |
|
value: 90.75783237234161 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/sts22-crosslingual-sts |
|
name: MTEB STS22 (en) |
|
config: en |
|
split: test |
|
revision: eea2b4fe26a775864c896887d910b76a8098ad3f |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 71.60579944207497 |
|
- type: cos_sim_spearman |
|
value: 70.08286575049202 |
|
- type: euclidean_pearson |
|
value: 71.83195353568124 |
|
- type: euclidean_spearman |
|
value: 70.3030975376705 |
|
- type: manhattan_pearson |
|
value: 71.80222200714064 |
|
- type: manhattan_spearman |
|
value: 70.04005646739672 |
|
- task: |
|
type: STS |
|
dataset: |
|
type: mteb/stsbenchmark-sts |
|
name: MTEB STSBenchmark |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 89.65716781275425 |
|
- type: cos_sim_spearman |
|
value: 89.90701888074334 |
|
- type: euclidean_pearson |
|
value: 88.50498754631819 |
|
- type: euclidean_spearman |
|
value: 88.88763469318933 |
|
- type: manhattan_pearson |
|
value: 88.58398429591064 |
|
- type: manhattan_spearman |
|
value: 89.0138386837653 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 89.26199160020026 |
|
- type: mrr |
|
value: 96.86981772766087 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/scifact |
|
name: MTEB SciFact |
|
config: default |
|
split: test |
|
revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 62.827999999999996 |
|
- type: map_at_10 |
|
value: 74.028 |
|
- type: map_at_100 |
|
value: 74.264 |
|
- type: map_at_1000 |
|
value: 74.274 |
|
- type: map_at_20 |
|
value: 74.18599999999999 |
|
- type: map_at_3 |
|
value: 70.787 |
|
- type: map_at_5 |
|
value: 72.87 |
|
- type: mrr_at_1 |
|
value: 66.333 |
|
- type: mrr_at_10 |
|
value: 74.894 |
|
- type: mrr_at_100 |
|
value: 75.09599999999999 |
|
- type: mrr_at_1000 |
|
value: 75.105 |
|
- type: mrr_at_20 |
|
value: 75.024 |
|
- type: mrr_at_3 |
|
value: 72.833 |
|
- type: mrr_at_5 |
|
value: 73.917 |
|
- type: ndcg_at_1 |
|
value: 66.333 |
|
- type: ndcg_at_10 |
|
value: 78.82000000000001 |
|
- type: ndcg_at_100 |
|
value: 79.95 |
|
- type: ndcg_at_1000 |
|
value: 80.207 |
|
- type: ndcg_at_20 |
|
value: 79.324 |
|
- type: ndcg_at_3 |
|
value: 73.87899999999999 |
|
- type: ndcg_at_5 |
|
value: 76.399 |
|
- type: precision_at_1 |
|
value: 66.333 |
|
- type: precision_at_10 |
|
value: 10.5 |
|
- type: precision_at_100 |
|
value: 1.11 |
|
- type: precision_at_1000 |
|
value: 0.11299999999999999 |
|
- type: precision_at_20 |
|
value: 5.367 |
|
- type: precision_at_3 |
|
value: 29.110999999999997 |
|
- type: precision_at_5 |
|
value: 19.333 |
|
- type: recall_at_1 |
|
value: 62.827999999999996 |
|
- type: recall_at_10 |
|
value: 92.667 |
|
- type: recall_at_100 |
|
value: 98.0 |
|
- type: recall_at_1000 |
|
value: 100.0 |
|
- type: recall_at_20 |
|
value: 94.5 |
|
- type: recall_at_3 |
|
value: 79.5 |
|
- type: recall_at_5 |
|
value: 85.739 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.85940594059406 |
|
- type: cos_sim_ap |
|
value: 96.72065839344104 |
|
- type: cos_sim_f1 |
|
value: 92.85714285714286 |
|
- type: cos_sim_precision |
|
value: 93.42105263157895 |
|
- type: cos_sim_recall |
|
value: 92.30000000000001 |
|
- type: dot_accuracy |
|
value: 99.84752475247525 |
|
- type: dot_ap |
|
value: 96.41536649209695 |
|
- type: dot_f1 |
|
value: 92.24572004028197 |
|
- type: dot_precision |
|
value: 92.90060851926978 |
|
- type: dot_recall |
|
value: 91.60000000000001 |
|
- type: euclidean_accuracy |
|
value: 99.86039603960396 |
|
- type: euclidean_ap |
|
value: 96.63078081708719 |
|
- type: euclidean_f1 |
|
value: 92.87518948964124 |
|
- type: euclidean_precision |
|
value: 93.87129724208376 |
|
- type: euclidean_recall |
|
value: 91.9 |
|
- type: manhattan_accuracy |
|
value: 99.86435643564356 |
|
- type: manhattan_ap |
|
value: 96.71272943532432 |
|
- type: manhattan_f1 |
|
value: 93.05625950329447 |
|
- type: manhattan_precision |
|
value: 94.34737923946557 |
|
- type: manhattan_recall |
|
value: 91.8 |
|
- type: max_accuracy |
|
value: 99.86435643564356 |
|
- type: max_ap |
|
value: 96.72065839344104 |
|
- type: max_f1 |
|
value: 93.05625950329447 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 75.95483275621876 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 46.20364113200157 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 56.2577092438525 |
|
- type: mrr |
|
value: 57.40251782531194 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
type: mteb/summeval |
|
name: MTEB SummEval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 30.492357459875645 |
|
- type: cos_sim_spearman |
|
value: 30.868968719156825 |
|
- type: dot_pearson |
|
value: 29.44619482351129 |
|
- type: dot_spearman |
|
value: 31.295984532577215 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/trec-covid |
|
name: MTEB TRECCOVID |
|
config: default |
|
split: test |
|
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.22200000000000003 |
|
- type: map_at_10 |
|
value: 1.9290000000000003 |
|
- type: map_at_100 |
|
value: 12.435 |
|
- type: map_at_1000 |
|
value: 32.352 |
|
- type: map_at_20 |
|
value: 3.496 |
|
- type: map_at_3 |
|
value: 0.637 |
|
- type: map_at_5 |
|
value: 1.016 |
|
- type: mrr_at_1 |
|
value: 86.0 |
|
- type: mrr_at_10 |
|
value: 92.333 |
|
- type: mrr_at_100 |
|
value: 92.333 |
|
- type: mrr_at_1000 |
|
value: 92.333 |
|
- type: mrr_at_20 |
|
value: 92.333 |
|
- type: mrr_at_3 |
|
value: 92.0 |
|
- type: mrr_at_5 |
|
value: 92.0 |
|
- type: ndcg_at_1 |
|
value: 81.0 |
|
- type: ndcg_at_10 |
|
value: 75.32900000000001 |
|
- type: ndcg_at_100 |
|
value: 62.756 |
|
- type: ndcg_at_1000 |
|
value: 59.232 |
|
- type: ndcg_at_20 |
|
value: 73.393 |
|
- type: ndcg_at_3 |
|
value: 78.469 |
|
- type: ndcg_at_5 |
|
value: 76.953 |
|
- type: precision_at_1 |
|
value: 86.0 |
|
- type: precision_at_10 |
|
value: 79.4 |
|
- type: precision_at_100 |
|
value: 64.94 |
|
- type: precision_at_1000 |
|
value: 26.332 |
|
- type: precision_at_20 |
|
value: 77.3 |
|
- type: precision_at_3 |
|
value: 82.667 |
|
- type: precision_at_5 |
|
value: 80.4 |
|
- type: recall_at_1 |
|
value: 0.22200000000000003 |
|
- type: recall_at_10 |
|
value: 2.113 |
|
- type: recall_at_100 |
|
value: 16.02 |
|
- type: recall_at_1000 |
|
value: 57.227 |
|
- type: recall_at_20 |
|
value: 4.036 |
|
- type: recall_at_3 |
|
value: 0.6689999999999999 |
|
- type: recall_at_5 |
|
value: 1.076 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/touche2020 |
|
name: MTEB Touche2020 |
|
config: default |
|
split: test |
|
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
metrics: |
|
- type: map_at_1 |
|
value: 2.83 |
|
- type: map_at_10 |
|
value: 8.981 |
|
- type: map_at_100 |
|
value: 14.796000000000001 |
|
- type: map_at_1000 |
|
value: 16.451999999999998 |
|
- type: map_at_20 |
|
value: 11.361 |
|
- type: map_at_3 |
|
value: 5.143 |
|
- type: map_at_5 |
|
value: 6.537 |
|
- type: mrr_at_1 |
|
value: 36.735 |
|
- type: mrr_at_10 |
|
value: 50.99399999999999 |
|
- type: mrr_at_100 |
|
value: 51.775000000000006 |
|
- type: mrr_at_1000 |
|
value: 51.775000000000006 |
|
- type: mrr_at_20 |
|
value: 51.39 |
|
- type: mrr_at_3 |
|
value: 47.278999999999996 |
|
- type: mrr_at_5 |
|
value: 49.626 |
|
- type: ndcg_at_1 |
|
value: 34.694 |
|
- type: ndcg_at_10 |
|
value: 24.061 |
|
- type: ndcg_at_100 |
|
value: 35.832 |
|
- type: ndcg_at_1000 |
|
value: 47.875 |
|
- type: ndcg_at_20 |
|
value: 25.022 |
|
- type: ndcg_at_3 |
|
value: 27.939999999999998 |
|
- type: ndcg_at_5 |
|
value: 25.246000000000002 |
|
- type: precision_at_1 |
|
value: 36.735 |
|
- type: precision_at_10 |
|
value: 20.204 |
|
- type: precision_at_100 |
|
value: 7.224 |
|
- type: precision_at_1000 |
|
value: 1.516 |
|
- type: precision_at_20 |
|
value: 15.714 |
|
- type: precision_at_3 |
|
value: 27.211000000000002 |
|
- type: precision_at_5 |
|
value: 23.265 |
|
- type: recall_at_1 |
|
value: 2.83 |
|
- type: recall_at_10 |
|
value: 14.564 |
|
- type: recall_at_100 |
|
value: 45.251000000000005 |
|
- type: recall_at_1000 |
|
value: 81.849 |
|
- type: recall_at_20 |
|
value: 22.31 |
|
- type: recall_at_3 |
|
value: 6.065 |
|
- type: recall_at_5 |
|
value: 8.588 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de |
|
metrics: |
|
- type: accuracy |
|
value: 91.17320000000001 |
|
- type: ap |
|
value: 41.18509354980418 |
|
- type: f1 |
|
value: 77.77470860794351 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 77.92869269949067 |
|
- type: f1 |
|
value: 78.23271267071486 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 59.59735858830448 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.81069321094355 |
|
- type: cos_sim_ap |
|
value: 79.1522153826438 |
|
- type: cos_sim_f1 |
|
value: 72.83363802559415 |
|
- type: cos_sim_precision |
|
value: 67.678369195923 |
|
- type: cos_sim_recall |
|
value: 78.83905013192613 |
|
- type: dot_accuracy |
|
value: 87.369613160875 |
|
- type: dot_ap |
|
value: 78.51617049363121 |
|
- type: dot_f1 |
|
value: 71.89735998026153 |
|
- type: dot_precision |
|
value: 67.516218721038 |
|
- type: dot_recall |
|
value: 76.88654353562005 |
|
- type: euclidean_accuracy |
|
value: 87.72724563390356 |
|
- type: euclidean_ap |
|
value: 78.45799796334607 |
|
- type: euclidean_f1 |
|
value: 72.7159880834161 |
|
- type: euclidean_precision |
|
value: 68.65916549460853 |
|
- type: euclidean_recall |
|
value: 77.28232189973615 |
|
- type: manhattan_accuracy |
|
value: 87.57823210347499 |
|
- type: manhattan_ap |
|
value: 78.24705251626389 |
|
- type: manhattan_f1 |
|
value: 72.34365129500948 |
|
- type: manhattan_precision |
|
value: 69.4060606060606 |
|
- type: manhattan_recall |
|
value: 75.54089709762533 |
|
- type: max_accuracy |
|
value: 87.81069321094355 |
|
- type: max_ap |
|
value: 79.1522153826438 |
|
- type: max_f1 |
|
value: 72.83363802559415 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 89.76597974152986 |
|
- type: cos_sim_ap |
|
value: 87.15717597277224 |
|
- type: cos_sim_f1 |
|
value: 79.71815316150567 |
|
- type: cos_sim_precision |
|
value: 76.89776060671103 |
|
- type: cos_sim_recall |
|
value: 82.75331074838313 |
|
- type: dot_accuracy |
|
value: 89.49237396670159 |
|
- type: dot_ap |
|
value: 86.69824401657353 |
|
- type: dot_f1 |
|
value: 79.39796433985418 |
|
- type: dot_precision |
|
value: 74.7316211441772 |
|
- type: dot_recall |
|
value: 84.68586387434554 |
|
- type: euclidean_accuracy |
|
value: 89.65149221872937 |
|
- type: euclidean_ap |
|
value: 86.98932847862545 |
|
- type: euclidean_f1 |
|
value: 79.65759212314929 |
|
- type: euclidean_precision |
|
value: 76.17876466868105 |
|
- type: euclidean_recall |
|
value: 83.46935632891899 |
|
- type: manhattan_accuracy |
|
value: 89.63402802033609 |
|
- type: manhattan_ap |
|
value: 86.99550128469285 |
|
- type: manhattan_f1 |
|
value: 79.61443655494647 |
|
- type: manhattan_precision |
|
value: 76.23476361586697 |
|
- type: manhattan_recall |
|
value: 83.30766861718509 |
|
- type: max_accuracy |
|
value: 89.76597974152986 |
|
- type: max_ap |
|
value: 87.15717597277224 |
|
- type: max_f1 |
|
value: 79.71815316150567 |
|
--- |
|
|
|
## Model Details: |
|
|
|
This embedding model is a fine-tuned 10.7B parameter LLM on the Intel Gaudi 2 processor using the [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0). |
|
|
|
## Date |
|
|
|
July, 2024 |
|
|
|
## Training Details |
|
|
|
Two stage training: |
|
- General Text Embedding Training |
|
- Specific domains Emebedding Training |
|
|
|
|
|
More technical details will be updated later. |
|
|
|
|
|
## Evaluation |
|
|
|
The results of (MTEB)[https://huggingface.co/spaces/mteb/leaderboard] (English): |
|
|
|
| Model Name | MTEB(56) || |
|
|:----:|:---------:|:----------:| |
|
| [bge-base-en-1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 64.23 | |
|
| [bge-large-en-1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) | 63.55 | |
|
| [gte-large-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5) | 65.39 | |
|
| [gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5) | 64.11 | |
|
| [mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1) | 64.68 | |
|
| [multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) | 59.45 | |
|
| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 61.50 | |
|
| [e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) | 66.63 | |
|
| [gte-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) | 67.34 | |
|
| [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) | 69.32 | |
|
| [**neural-embedding-v1**](https://huggingface.co/Intel/neural-embedding-v1) | **69.94** | |
|
|
|
|
|
|
