C
Cai Lunaris Text Embeddings
由 consciousAI 开发
一个基于sentence-transformers的文本嵌入模型，专注于句子相似度计算和特征提取任务。
下载量 59
发布时间 : 6/22/2023
模型介绍
内容详情
替代品
模型简介
该模型主要用于生成文本嵌入向量，支持句子相似度计算和特征提取任务，适用于信息检索和相关应用场景。
模型特点
句子相似度计算
能够准确计算不同句子之间的语义相似度
特征提取
可将文本转换为高维特征向量，用于下游任务
多任务支持
支持检索、重排序和语义文本相似度等多种任务
模型能力
句子相似度计算
文本特征提取
信息检索
问答系统支持
文本重排序
使用案例
信息检索
问答系统
用于问答系统中检索相关问题
在CQADupstack数据集上表现出色
技术支持论坛
用于技术论坛中查找相似问题
在AskUbuntuDupQuestions数据集上map达到53.44
语义分析
生物医学文本分析
用于生物医学文本的语义相似度计算
在BIOSSES数据集上cos_sim_pearson达到75.97
license: apache-2.0 pipeline_tag: sentence-similarity tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- mteb model-index:
- name: cai-lunaris-text-embeddings
results:
- task:
type: Retrieval
dataset:
type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 17.07
- type: map_at_10 value: 29.372999999999998
- type: map_at_100 value: 30.79
- type: map_at_1000 value: 30.819999999999997
- type: map_at_3 value: 24.395
- type: map_at_5 value: 27.137
- type: mrr_at_1 value: 17.923000000000002
- type: mrr_at_10 value: 29.695
- type: mrr_at_100 value: 31.098
- type: mrr_at_1000 value: 31.128
- type: mrr_at_3 value: 24.704
- type: mrr_at_5 value: 27.449
- type: ndcg_at_1 value: 17.07
- type: ndcg_at_10 value: 37.269000000000005
- type: ndcg_at_100 value: 43.716
- type: ndcg_at_1000 value: 44.531
- type: ndcg_at_3 value: 26.839000000000002
- type: ndcg_at_5 value: 31.845000000000002
- type: precision_at_1 value: 17.07
- type: precision_at_10 value: 6.3020000000000005
- type: precision_at_100 value: 0.922
- type: precision_at_1000 value: 0.099
- type: precision_at_3 value: 11.309
- type: precision_at_5 value: 9.246
- type: recall_at_1 value: 17.07
- type: recall_at_10 value: 63.016000000000005
- type: recall_at_100 value: 92.24799999999999
- type: recall_at_1000 value: 98.72
- type: recall_at_3 value: 33.926
- type: recall_at_5 value: 46.23
- task:
type: Reranking
dataset:
type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map value: 53.44266265900711
- type: mrr value: 66.54695950402322
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson value: 75.9652953730204
- type: cos_sim_spearman value: 73.96554077670989
- type: euclidean_pearson value: 75.68477255792381
- type: euclidean_spearman value: 74.59447076995703
- type: manhattan_pearson value: 75.94984623881341
- type: manhattan_spearman value: 74.72218452337502
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 14.119000000000002
- type: map_at_10 value: 19.661
- type: map_at_100 value: 20.706
- type: map_at_1000 value: 20.848
- type: map_at_3 value: 17.759
- type: map_at_5 value: 18.645
- type: mrr_at_1 value: 17.166999999999998
- type: mrr_at_10 value: 23.313
- type: mrr_at_100 value: 24.263
- type: mrr_at_1000 value: 24.352999999999998
- type: mrr_at_3 value: 21.412
- type: mrr_at_5 value: 22.313
- type: ndcg_at_1 value: 17.166999999999998
- type: ndcg_at_10 value: 23.631
- type: ndcg_at_100 value: 28.427000000000003
- type: ndcg_at_1000 value: 31.862000000000002
- type: ndcg_at_3 value: 20.175
- type: ndcg_at_5 value: 21.397
- type: precision_at_1 value: 17.166999999999998
- type: precision_at_10 value: 4.549
- type: precision_at_100 value: 0.8370000000000001
- type: precision_at_1000 value: 0.136
- type: precision_at_3 value: 9.68
- type: precision_at_5 value: 6.981
- type: recall_at_1 value: 14.119000000000002
- type: recall_at_10 value: 32.147999999999996
- type: recall_at_100 value: 52.739999999999995
- type: recall_at_1000 value: 76.67
- type: recall_at_3 value: 22.019
- type: recall_at_5 value: 25.361
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 16.576
- type: map_at_10 value: 22.281000000000002
- type: map_at_100 value: 23.066
- type: map_at_1000 value: 23.166
- type: map_at_3 value: 20.385
- type: map_at_5 value: 21.557000000000002
- type: mrr_at_1 value: 20.892
- type: mrr_at_10 value: 26.605
- type: mrr_at_100 value: 27.229
- type: mrr_at_1000 value: 27.296
- type: mrr_at_3 value: 24.809
- type: mrr_at_5 value: 25.927
- type: ndcg_at_1 value: 20.892
- type: ndcg_at_10 value: 26.092
- type: ndcg_at_100 value: 29.398999999999997
- type: ndcg_at_1000 value: 31.884
- type: ndcg_at_3 value: 23.032
- type: ndcg_at_5 value: 24.634
- type: precision_at_1 value: 20.892
- type: precision_at_10 value: 4.885
- type: precision_at_100 value: 0.818
- type: precision_at_1000 value: 0.126
- type: precision_at_3 value: 10.977
- type: precision_at_5 value: 8.013
- type: recall_at_1 value: 16.576
- type: recall_at_10 value: 32.945
- type: recall_at_100 value: 47.337
- type: recall_at_1000 value: 64.592
- type: recall_at_3 value: 24.053
- type: recall_at_5 value: 28.465
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 20.604
- type: map_at_10 value: 28.754999999999995
- type: map_at_100 value: 29.767
- type: map_at_1000 value: 29.852
- type: map_at_3 value: 26.268
- type: map_at_5 value: 27.559
- type: mrr_at_1 value: 24.326
- type: mrr_at_10 value: 31.602000000000004
- type: mrr_at_100 value: 32.46
- type: mrr_at_1000 value: 32.521
- type: mrr_at_3 value: 29.415000000000003
- type: mrr_at_5 value: 30.581000000000003
- type: ndcg_at_1 value: 24.326
- type: ndcg_at_10 value: 33.335
- type: ndcg_at_100 value: 38.086
- type: ndcg_at_1000 value: 40.319
- type: ndcg_at_3 value: 28.796
- type: ndcg_at_5 value: 30.758999999999997
- type: precision_at_1 value: 24.326
- type: precision_at_10 value: 5.712
- type: precision_at_100 value: 0.893
- type: precision_at_1000 value: 0.11499999999999999
- type: precision_at_3 value: 13.208
- type: precision_at_5 value: 9.329
- type: recall_at_1 value: 20.604
- type: recall_at_10 value: 44.505
- type: recall_at_100 value: 65.866
- type: recall_at_1000 value: 82.61800000000001
- type: recall_at_3 value: 31.794
- type: recall_at_5 value: 36.831
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 8.280999999999999
- type: map_at_10 value: 11.636000000000001
- type: map_at_100 value: 12.363
- type: map_at_1000 value: 12.469
- type: map_at_3 value: 10.415000000000001
- type: map_at_5 value: 11.144
- type: mrr_at_1 value: 9.266
- type: mrr_at_10 value: 12.838
- type: mrr_at_100 value: 13.608999999999998
- type: mrr_at_1000 value: 13.700999999999999
- type: mrr_at_3 value: 11.507000000000001
- type: mrr_at_5 value: 12.343
- type: ndcg_at_1 value: 9.266
- type: ndcg_at_10 value: 13.877
- type: ndcg_at_100 value: 18.119
- type: ndcg_at_1000 value: 21.247
- type: ndcg_at_3 value: 11.376999999999999
- type: ndcg_at_5 value: 12.675
- type: precision_at_1 value: 9.266
- type: precision_at_10 value: 2.226
- type: precision_at_100 value: 0.47200000000000003
- type: precision_at_1000 value: 0.077
- type: precision_at_3 value: 4.859
- type: precision_at_5 value: 3.6380000000000003
- type: recall_at_1 value: 8.280999999999999
- type: recall_at_10 value: 19.872999999999998
- type: recall_at_100 value: 40.585
- type: recall_at_1000 value: 65.225
- type: recall_at_3 value: 13.014000000000001
- type: recall_at_5 value: 16.147
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 4.1209999999999996
- type: map_at_10 value: 7.272
- type: map_at_100 value: 8.079
- type: map_at_1000 value: 8.199
- type: map_at_3 value: 6.212
- type: map_at_5 value: 6.736000000000001
- type: mrr_at_1 value: 5.721
- type: mrr_at_10 value: 9.418
- type: mrr_at_100 value: 10.281
- type: mrr_at_1000 value: 10.385
- type: mrr_at_3 value: 8.126
- type: mrr_at_5 value: 8.779
- type: ndcg_at_1 value: 5.721
- type: ndcg_at_10 value: 9.673
- type: ndcg_at_100 value: 13.852999999999998
- type: ndcg_at_1000 value: 17.546999999999997
- type: ndcg_at_3 value: 7.509
- type: ndcg_at_5 value: 8.373
- type: precision_at_1 value: 5.721
- type: precision_at_10 value: 2.04
- type: precision_at_100 value: 0.48
- type: precision_at_1000 value: 0.093
- type: precision_at_3 value: 4.022
- type: precision_at_5 value: 3.06
- type: recall_at_1 value: 4.1209999999999996
- type: recall_at_10 value: 15.201
- type: recall_at_100 value: 33.922999999999995
- type: recall_at_1000 value: 61.529999999999994
- type: recall_at_3 value: 8.869
- type: recall_at_5 value: 11.257
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 14.09
- type: map_at_10 value: 19.573999999999998
- type: map_at_100 value: 20.580000000000002
- type: map_at_1000 value: 20.704
- type: map_at_3 value: 17.68
- type: map_at_5 value: 18.64
- type: mrr_at_1 value: 17.227999999999998
- type: mrr_at_10 value: 23.152
- type: mrr_at_100 value: 24.056
- type: mrr_at_1000 value: 24.141000000000002
- type: mrr_at_3 value: 21.142
- type: mrr_at_5 value: 22.201
- type: ndcg_at_1 value: 17.227999999999998
- type: ndcg_at_10 value: 23.39
- type: ndcg_at_100 value: 28.483999999999998
- type: ndcg_at_1000 value: 31.709
- type: ndcg_at_3 value: 19.883
- type: ndcg_at_5 value: 21.34
- type: precision_at_1 value: 17.227999999999998
- type: precision_at_10 value: 4.3790000000000004
- type: precision_at_100 value: 0.826
- type: precision_at_1000 value: 0.128
- type: precision_at_3 value: 9.496
- type: precision_at_5 value: 6.872
- type: recall_at_1 value: 14.09
- type: recall_at_10 value: 31.580000000000002
- type: recall_at_100 value: 54.074
- type: recall_at_1000 value: 77.092
- type: recall_at_3 value: 21.601
- type: recall_at_5 value: 25.333
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 10.538
- type: map_at_10 value: 15.75
- type: map_at_100 value: 16.71
- type: map_at_1000 value: 16.838
- type: map_at_3 value: 13.488
- type: map_at_5 value: 14.712
- type: mrr_at_1 value: 13.813
- type: mrr_at_10 value: 19.08
- type: mrr_at_100 value: 19.946
- type: mrr_at_1000 value: 20.044
- type: mrr_at_3 value: 16.838
- type: mrr_at_5 value: 17.951
- type: ndcg_at_1 value: 13.813
- type: ndcg_at_10 value: 19.669
- type: ndcg_at_100 value: 24.488
- type: ndcg_at_1000 value: 27.87
- type: ndcg_at_3 value: 15.479000000000001
- type: ndcg_at_5 value: 17.229
- type: precision_at_1 value: 13.813
- type: precision_at_10 value: 3.916
- type: precision_at_100 value: 0.743
- type: precision_at_1000 value: 0.122
- type: precision_at_3 value: 7.534000000000001
- type: precision_at_5 value: 5.822
- type: recall_at_1 value: 10.538
- type: recall_at_10 value: 28.693
- type: recall_at_100 value: 50.308
- type: recall_at_1000 value: 74.44
- type: recall_at_3 value: 16.866999999999997
- type: recall_at_5 value: 21.404999999999998
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 11.044583333333332
- type: map_at_10 value: 15.682833333333335
- type: map_at_100 value: 16.506500000000003
- type: map_at_1000 value: 16.623833333333334
- type: map_at_3 value: 14.130833333333333
- type: map_at_5 value: 14.963583333333332
- type: mrr_at_1 value: 13.482833333333332
- type: mrr_at_10 value: 18.328500000000002
- type: mrr_at_100 value: 19.095416666666665
- type: mrr_at_1000 value: 19.18241666666666
- type: mrr_at_3 value: 16.754749999999998
- type: mrr_at_5 value: 17.614749999999997
- type: ndcg_at_1 value: 13.482833333333332
- type: ndcg_at_10 value: 18.81491666666667
- type: ndcg_at_100 value: 22.946833333333334
- type: ndcg_at_1000 value: 26.061083333333336
- type: ndcg_at_3 value: 15.949333333333332
- type: ndcg_at_5 value: 17.218333333333334
- type: precision_at_1 value: 13.482833333333332
- type: precision_at_10 value: 3.456583333333333
- type: precision_at_100 value: 0.6599166666666666
- type: precision_at_1000 value: 0.109
- type: precision_at_3 value: 7.498833333333332
- type: precision_at_5 value: 5.477166666666667
- type: recall_at_1 value: 11.044583333333332
- type: recall_at_10 value: 25.737750000000005
- type: recall_at_100 value: 44.617916666666666
- type: recall_at_1000 value: 67.56524999999999
- type: recall_at_3 value: 17.598249999999997
- type: recall_at_5 value: 20.9035
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 9.362
- type: map_at_10 value: 13.414000000000001
- type: map_at_100 value: 14.083000000000002
- type: map_at_1000 value: 14.168
- type: map_at_3 value: 12.098
- type: map_at_5 value: 12.803999999999998
- type: mrr_at_1 value: 11.043
- type: mrr_at_10 value: 15.158
- type: mrr_at_100 value: 15.845999999999998
- type: mrr_at_1000 value: 15.916
- type: mrr_at_3 value: 13.88
- type: mrr_at_5 value: 14.601
- type: ndcg_at_1 value: 11.043
- type: ndcg_at_10 value: 16.034000000000002
- type: ndcg_at_100 value: 19.686
- type: ndcg_at_1000 value: 22.188
- type: ndcg_at_3 value: 13.530000000000001
- type: ndcg_at_5 value: 14.704
- type: precision_at_1 value: 11.043
- type: precision_at_10 value: 2.791
- type: precision_at_100 value: 0.5
- type: precision_at_1000 value: 0.077
- type: precision_at_3 value: 6.237
- type: precision_at_5 value: 4.5089999999999995
- type: recall_at_1 value: 9.362
- type: recall_at_10 value: 22.396
- type: recall_at_100 value: 39.528999999999996
- type: recall_at_1000 value: 58.809
- type: recall_at_3 value: 15.553
- type: recall_at_5 value: 18.512
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 5.657
- type: map_at_10 value: 8.273
- type: map_at_100 value: 8.875
- type: map_at_1000 value: 8.977
- type: map_at_3 value: 7.32
- type: map_at_5 value: 7.792000000000001
- type: mrr_at_1 value: 7.02
- type: mrr_at_10 value: 9.966999999999999
- type: mrr_at_100 value: 10.636
- type: mrr_at_1000 value: 10.724
- type: mrr_at_3 value: 8.872
- type: mrr_at_5 value: 9.461
- type: ndcg_at_1 value: 7.02
- type: ndcg_at_10 value: 10.199
- type: ndcg_at_100 value: 13.642000000000001
- type: ndcg_at_1000 value: 16.643
- type: ndcg_at_3 value: 8.333
- type: ndcg_at_5 value: 9.103
- type: precision_at_1 value: 7.02
- type: precision_at_10 value: 1.8929999999999998
- type: precision_at_100 value: 0.43
- type: precision_at_1000 value: 0.08099999999999999
- type: precision_at_3 value: 3.843
- type: precision_at_5 value: 2.884
- type: recall_at_1 value: 5.657
- type: recall_at_10 value: 14.563
- type: recall_at_100 value: 30.807000000000002
- type: recall_at_1000 value: 53.251000000000005
- type: recall_at_3 value: 9.272
- type: recall_at_5 value: 11.202
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 10.671999999999999
- type: map_at_10 value: 14.651
- type: map_at_100 value: 15.406
- type: map_at_1000 value: 15.525
- type: map_at_3 value: 13.461
- type: map_at_5 value: 14.163
- type: mrr_at_1 value: 12.407
- type: mrr_at_10 value: 16.782
- type: mrr_at_100 value: 17.562
- type: mrr_at_1000 value: 17.653
- type: mrr_at_3 value: 15.47
- type: mrr_at_5 value: 16.262
- type: ndcg_at_1 value: 12.407
- type: ndcg_at_10 value: 17.251
- type: ndcg_at_100 value: 21.378
- type: ndcg_at_1000 value: 24.689
- type: ndcg_at_3 value: 14.915000000000001
- type: ndcg_at_5 value: 16.1
- type: precision_at_1 value: 12.407
- type: precision_at_10 value: 2.91
- type: precision_at_100 value: 0.573
- type: precision_at_1000 value: 0.096
- type: precision_at_3 value: 6.779
- type: precision_at_5 value: 4.888
- type: recall_at_1 value: 10.671999999999999
- type: recall_at_10 value: 23.099
- type: recall_at_100 value: 41.937999999999995
- type: recall_at_1000 value: 66.495
- type: recall_at_3 value: 16.901
- type: recall_at_5 value: 19.807
- task:
type: Retrieval
dataset:
type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics:
- type: map_at_1 value: 13.364
- type: map_at_10 value: 17.772
- type: map_at_100 value: 18.659
- type: map_at_1000 value: 18.861
- type: map_at_3 value: 16.659
- type: map_at_5 value: 17.174
- type: mrr_at_1 value: 16.996
- type: mrr_at_10 value: 21.687
- type: mrr_at_100 value: 22.313
- type: mrr_at_1000 value: 22.422
- type: mrr_at_3 value: 20.652
- type: mrr_at_5 value: 21.146
- type: ndcg_at_1 value: 16.996
- type: ndcg_at_10 value: 21.067
- type: ndcg_at_100 value: 24.829
- type: ndcg_at_1000 value: 28.866999999999997
- type:
- task:
type: Retrieval
dataset:
type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics:
Jina Embeddings V3
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