metadata
language:
- zh
- en
tags:
- sentence-transformers
- sentence-similarity
- mteb
model-index:
- name: zh
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: b44c3b011063adb25877c13823db83bb193913c4
metrics:
- type: cos_sim_pearson
value: 36.28363608508365
- type: cos_sim_spearman
value: 37.39698005114737
- type: euclidean_pearson
value: 36.407377294778186
- type: euclidean_spearman
value: 37.396959945459166
- type: manhattan_pearson
value: 36.30818480805082
- type: manhattan_spearman
value: 37.28435580456356
- task:
type: STS
dataset:
type: C-MTEB/ATEC
name: MTEB ATEC
config: default
split: test
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
metrics:
- type: cos_sim_pearson
value: 39.918566602029536
- type: cos_sim_spearman
value: 42.163555979292155
- type: euclidean_pearson
value: 43.24429263158407
- type: euclidean_spearman
value: 42.16355485217486
- type: manhattan_pearson
value: 43.23108002349145
- type: manhattan_spearman
value: 42.156854810425834
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (zh)
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 47.788000000000004
- type: f1
value: 44.518439064691925
- task:
type: STS
dataset:
type: C-MTEB/BQ
name: MTEB BQ
config: default
split: test
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
metrics:
- type: cos_sim_pearson
value: 67.03414409142314
- type: cos_sim_spearman
value: 70.95560250546684
- type: euclidean_pearson
value: 69.35644910492917
- type: euclidean_spearman
value: 70.95560250269956
- type: manhattan_pearson
value: 69.32201332479197
- type: manhattan_spearman
value: 70.92406185691
- task:
type: Clustering
dataset:
type: C-MTEB/CLSClusteringP2P
name: MTEB CLSClusteringP2P
config: default
split: test
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
metrics:
- type: v_measure
value: 39.31955168227449
- task:
type: Clustering
dataset:
type: C-MTEB/CLSClusteringS2S
name: MTEB CLSClusteringS2S
config: default
split: test
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
metrics:
- type: v_measure
value: 37.8418274237459
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv1-reranking
name: MTEB CMedQAv1
config: default
split: test
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
metrics:
- type: map
value: 80.66118119519746
- type: mrr
value: 83.47972222222222
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv2-reranking
name: MTEB CMedQAv2
config: default
split: test
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
metrics:
- type: map
value: 79.31430375371524
- type: mrr
value: 82.10194444444444
- task:
type: Retrieval
dataset:
type: C-MTEB/CmedqaRetrieval
name: MTEB CmedqaRetrieval
config: default
split: dev
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
metrics:
- type: map_at_1
value: 16.672
- type: map_at_10
value: 26.273000000000003
- type: map_at_100
value: 28.044999999999998
- type: map_at_1000
value: 28.208
- type: map_at_3
value: 22.989
- type: map_at_5
value: 24.737000000000002
- type: mrr_at_1
value: 26.257
- type: mrr_at_10
value: 34.358
- type: mrr_at_100
value: 35.436
- type: mrr_at_1000
value: 35.513
- type: mrr_at_3
value: 31.954
- type: mrr_at_5
value: 33.234
- type: ndcg_at_1
value: 26.257
- type: ndcg_at_10
value: 32.326
- type: ndcg_at_100
value: 39.959
- type: ndcg_at_1000
value: 43.163000000000004
- type: ndcg_at_3
value: 27.700999999999997
- type: ndcg_at_5
value: 29.514000000000003
- type: precision_at_1
value: 26.257
- type: precision_at_10
value: 7.607
- type: precision_at_100
value: 1.388
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 16.162000000000003
- type: precision_at_5
value: 11.933
- type: recall_at_1
value: 16.672
- type: recall_at_10
value: 42.135
- type: recall_at_100
value: 74.417
- type: recall_at_1000
value: 96.417
- type: recall_at_3
value: 28.416999999999998
- type: recall_at_5
value: 33.873999999999995
- task:
type: PairClassification
dataset:
type: C-MTEB/CMNLI
name: MTEB Cmnli
config: default
split: validation
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
metrics:
- type: cos_sim_accuracy
value: 61.11846061334937
- type: cos_sim_ap
value: 65.68356716139071
- type: cos_sim_f1
value: 68.15213842637937
- type: cos_sim_precision
value: 52.35109717868338
- type: cos_sim_recall
value: 97.61515080664017
- type: dot_accuracy
value: 61.11846061334937
- type: dot_ap
value: 65.68369552204702
- type: dot_f1
value: 68.15213842637937
- type: dot_precision
value: 52.35109717868338
- type: dot_recall
value: 97.61515080664017
- type: euclidean_accuracy
value: 61.11846061334937
- type: euclidean_ap
value: 65.68356789608616
- type: euclidean_f1
value: 68.15213842637937
- type: euclidean_precision
value: 52.35109717868338
- type: euclidean_recall
value: 97.61515080664017
- type: manhattan_accuracy
value: 61.17859290438966
- type: manhattan_ap
value: 65.68230365595265
- type: manhattan_f1
value: 68.14029363784665
- type: manhattan_precision
value: 52.32368783665289
- type: manhattan_recall
value: 97.66191255552957
- type: max_accuracy
value: 61.17859290438966
- type: max_ap
value: 65.68369552204702
- type: max_f1
value: 68.15213842637937
- task:
type: Retrieval
dataset:
type: C-MTEB/CovidRetrieval
name: MTEB CovidRetrieval
config: default
split: dev
revision: 1271c7809071a13532e05f25fb53511ffce77117
metrics:
- type: map_at_1
value: 51.054
- type: map_at_10
value: 61.926
- type: map_at_100
value: 62.514
- type: map_at_1000
value: 62.529
- type: map_at_3
value: 59.272999999999996
- type: map_at_5
value: 60.943000000000005
- type: mrr_at_1
value: 51.212
- type: mrr_at_10
value: 61.916000000000004
- type: mrr_at_100
value: 62.495999999999995
- type: mrr_at_1000
value: 62.511
- type: mrr_at_3
value: 59.326
- type: mrr_at_5
value: 60.958999999999996
- type: ndcg_at_1
value: 51.212
- type: ndcg_at_10
value: 67.223
- type: ndcg_at_100
value: 69.92699999999999
- type: ndcg_at_1000
value: 70.307
- type: ndcg_at_3
value: 61.873
- type: ndcg_at_5
value: 64.883
- type: precision_at_1
value: 51.212
- type: precision_at_10
value: 8.472
- type: precision_at_100
value: 0.9730000000000001
- type: precision_at_1000
value: 0.1
- type: precision_at_3
value: 23.253
- type: precision_at_5
value: 15.448
- type: recall_at_1
value: 51.054
- type: recall_at_10
value: 83.825
- type: recall_at_100
value: 96.207
- type: recall_at_1000
value: 99.157
- type: recall_at_3
value: 69.31
- type: recall_at_5
value: 76.66
- task:
type: Retrieval
dataset:
type: C-MTEB/DuRetrieval
name: MTEB DuRetrieval
config: default
split: dev
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
metrics:
- type: map_at_1
value: 21.247
- type: map_at_10
value: 64.793
- type: map_at_100
value: 68.62899999999999
- type: map_at_1000
value: 68.718
- type: map_at_3
value: 44.192
- type: map_at_5
value: 55.435
- type: mrr_at_1
value: 76.7
- type: mrr_at_10
value: 84.22
- type: mrr_at_100
value: 84.341
- type: mrr_at_1000
value: 84.346
- type: mrr_at_3
value: 83.42500000000001
- type: mrr_at_5
value: 83.902
- type: ndcg_at_1
value: 76.7
- type: ndcg_at_10
value: 75.271
- type: ndcg_at_100
value: 80.62
- type: ndcg_at_1000
value: 81.45
- type: ndcg_at_3
value: 72.803
- type: ndcg_at_5
value: 71.694
- type: precision_at_1
value: 76.7
- type: precision_at_10
value: 36.925000000000004
- type: precision_at_100
value: 4.675
- type: precision_at_1000
value: 0.48700000000000004
- type: precision_at_3
value: 65.383
- type: precision_at_5
value: 55.15
- type: recall_at_1
value: 21.247
- type: recall_at_10
value: 78.38300000000001
- type: recall_at_100
value: 94.759
- type: recall_at_1000
value: 98.907
- type: recall_at_3
value: 48.04
- type: recall_at_5
value: 62.883
- task:
type: Retrieval
dataset:
type: C-MTEB/EcomRetrieval
name: MTEB EcomRetrieval
config: default
split: dev
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
metrics:
- type: map_at_1
value: 42
- type: map_at_10
value: 52.691
- type: map_at_100
value: 53.456
- type: map_at_1000
value: 53.480000000000004
- type: map_at_3
value: 49.583
- type: map_at_5
value: 51.723
- type: mrr_at_1
value: 42
- type: mrr_at_10
value: 52.691
- type: mrr_at_100
value: 53.456
- type: mrr_at_1000
value: 53.480000000000004
- type: mrr_at_3
value: 49.583
- type: mrr_at_5
value: 51.723
- type: ndcg_at_1
value: 42
- type: ndcg_at_10
value: 58.243
- type: ndcg_at_100
value: 61.907999999999994
- type: ndcg_at_1000
value: 62.483999999999995
- type: ndcg_at_3
value: 52.03
- type: ndcg_at_5
value: 55.85099999999999
- type: precision_at_1
value: 42
- type: precision_at_10
value: 7.580000000000001
- type: precision_at_100
value: 0.928
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 19.7
- type: precision_at_5
value: 13.66
- type: recall_at_1
value: 42
- type: recall_at_10
value: 75.8
- type: recall_at_100
value: 92.80000000000001
- type: recall_at_1000
value: 97.2
- type: recall_at_3
value: 59.099999999999994
- type: recall_at_5
value: 68.30000000000001
- task:
type: Classification
dataset:
type: C-MTEB/IFlyTek-classification
name: MTEB IFlyTek
config: default
split: validation
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
metrics:
- type: accuracy
value: 44.86340900346287
- type: f1
value: 31.324006049353713
- task:
type: Classification
dataset:
type: C-MTEB/JDReview-classification
name: MTEB JDReview
config: default
split: test
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
metrics:
- type: accuracy
value: 88.48030018761726
- type: ap
value: 59.392058006606476
- type: f1
value: 83.61333024672861
- task:
type: STS
dataset:
type: C-MTEB/LCQMC
name: MTEB LCQMC
config: default
split: test
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
metrics:
- type: cos_sim_pearson
value: 66.36852873686233
- type: cos_sim_spearman
value: 73.27371960661353
- type: euclidean_pearson
value: 71.38209904858738
- type: euclidean_spearman
value: 73.27373512049904
- type: manhattan_pearson
value: 71.51557697058817
- type: manhattan_spearman
value: 73.38956581066971
- task:
type: Reranking
dataset:
type: C-MTEB/Mmarco-reranking
name: MTEB MMarcoReranking
config: default
split: dev
revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
metrics:
- type: map
value: 19.57107231987867
- type: mrr
value: 18.224603174603175
- task:
type: Retrieval
dataset:
type: C-MTEB/MMarcoRetrieval
name: MTEB MMarcoRetrieval
config: default
split: dev
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
metrics:
- type: map_at_1
value: 43.785000000000004
- type: map_at_10
value: 53.278000000000006
- type: map_at_100
value: 53.946000000000005
- type: map_at_1000
value: 53.983000000000004
- type: map_at_3
value: 50.846999999999994
- type: map_at_5
value: 52.286
- type: mrr_at_1
value: 45.559
- type: mrr_at_10
value: 54.129000000000005
- type: mrr_at_100
value: 54.732
- type: mrr_at_1000
value: 54.766999999999996
- type: mrr_at_3
value: 51.885999999999996
- type: mrr_at_5
value: 53.212
- type: ndcg_at_1
value: 45.559
- type: ndcg_at_10
value: 57.909
- type: ndcg_at_100
value: 61.068999999999996
- type: ndcg_at_1000
value: 62.09400000000001
- type: ndcg_at_3
value: 53.125
- type: ndcg_at_5
value: 55.614
- type: precision_at_1
value: 45.559
- type: precision_at_10
value: 7.617
- type: precision_at_100
value: 0.9199999999999999
- type: precision_at_1000
value: 0.101
- type: precision_at_3
value: 20.707
- type: precision_at_5
value: 13.730999999999998
- type: recall_at_1
value: 43.785000000000004
- type: recall_at_10
value: 71.543
- type: recall_at_100
value: 86.197
- type: recall_at_1000
value: 94.305
- type: recall_at_3
value: 58.677
- type: recall_at_5
value: 64.62599999999999
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (zh-CN)
config: zh-CN
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 61.29455279085406
- type: f1
value: 58.42865357114413
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (zh-CN)
config: zh-CN
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.89979825151312
- type: f1
value: 66.6125514843663
- task:
type: Retrieval
dataset:
type: C-MTEB/MedicalRetrieval
name: MTEB MedicalRetrieval
config: default
split: dev
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
metrics:
- type: map_at_1
value: 44.7
- type: map_at_10
value: 51.307
- type: map_at_100
value: 52.002
- type: map_at_1000
value: 52.06699999999999
- type: map_at_3
value: 49.55
- type: map_at_5
value: 50.544999999999995
- type: mrr_at_1
value: 44.9
- type: mrr_at_10
value: 51.415
- type: mrr_at_100
value: 52.111
- type: mrr_at_1000
value: 52.175000000000004
- type: mrr_at_3
value: 49.683
- type: mrr_at_5
value: 50.653000000000006
- type: ndcg_at_1
value: 44.7
- type: ndcg_at_10
value: 54.778000000000006
- type: ndcg_at_100
value: 58.526
- type: ndcg_at_1000
value: 60.187999999999995
- type: ndcg_at_3
value: 51.129999999999995
- type: ndcg_at_5
value: 52.933
- type: precision_at_1
value: 44.7
- type: precision_at_10
value: 6.58
- type: precision_at_100
value: 0.8420000000000001
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 18.567
- type: precision_at_5
value: 12.02
- type: recall_at_1
value: 44.7
- type: recall_at_10
value: 65.8
- type: recall_at_100
value: 84.2
- type: recall_at_1000
value: 97.2
- type: recall_at_3
value: 55.7
- type: recall_at_5
value: 60.099999999999994
- task:
type: Retrieval
dataset:
type: Shitao/MLDR
name: MTEB MultiLongDocRetrieval (zh)
config: zh
split: test
revision: None
metrics:
- type: map_at_1
value: 7.625
- type: map_at_10
value: 10.238
- type: map_at_100
value: 10.885
- type: map_at_1000
value: 10.958
- type: map_at_3
value: 9.292
- type: map_at_5
value: 9.91
- type: mrr_at_1
value: 7.625
- type: mrr_at_10
value: 10.238
- type: mrr_at_100
value: 10.885
- type: mrr_at_1000
value: 10.958
- type: mrr_at_3
value: 9.292
- type: mrr_at_5
value: 9.91
- type: ndcg_at_1
value: 7.625
- type: ndcg_at_10
value: 11.784
- type: ndcg_at_100
value: 15.133
- type: ndcg_at_1000
value: 17.511
- type: ndcg_at_3
value: 9.857000000000001
- type: ndcg_at_5
value: 10.981
- type: precision_at_1
value: 7.625
- type: precision_at_10
value: 1.675
- type: precision_at_100
value: 0.329
- type: precision_at_1000
value: 0.053
- type: precision_at_3
value: 3.833
- type: precision_at_5
value: 2.85
- type: recall_at_1
value: 7.625
- type: recall_at_10
value: 16.75
- type: recall_at_100
value: 32.875
- type: recall_at_1000
value: 52.625
- type: recall_at_3
value: 11.5
- type: recall_at_5
value: 14.249999999999998
- task:
type: Classification
dataset:
type: C-MTEB/MultilingualSentiment-classification
name: MTEB MultilingualSentiment
config: default
split: validation
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
metrics:
- type: accuracy
value: 78.45666666666666
- type: f1
value: 78.06393644109178
- task:
type: PairClassification
dataset:
type: C-MTEB/OCNLI
name: MTEB Ocnli
config: default
split: validation
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
metrics:
- type: cos_sim_accuracy
value: 59.88088792636708
- type: cos_sim_ap
value: 59.993466246406854
- type: cos_sim_f1
value: 69.33333333333334
- type: cos_sim_precision
value: 54.23122765196663
- type: cos_sim_recall
value: 96.09292502639916
- type: dot_accuracy
value: 59.88088792636708
- type: dot_ap
value: 59.99351215786742
- type: dot_f1
value: 69.33333333333334
- type: dot_precision
value: 54.23122765196663
- type: dot_recall
value: 96.09292502639916
- type: euclidean_accuracy
value: 59.88088792636708
- type: euclidean_ap
value: 59.993466246406854
- type: euclidean_f1
value: 69.33333333333334
- type: euclidean_precision
value: 54.23122765196663
- type: euclidean_recall
value: 96.09292502639916
- type: manhattan_accuracy
value: 59.989171629669734
- type: manhattan_ap
value: 60.06745167956717
- type: manhattan_f1
value: 69.37381404174573
- type: manhattan_precision
value: 54.14691943127961
- type: manhattan_recall
value: 96.51531151003168
- type: max_accuracy
value: 59.989171629669734
- type: max_ap
value: 60.06745167956717
- type: max_f1
value: 69.37381404174573
- task:
type: Classification
dataset:
type: C-MTEB/OnlineShopping-classification
name: MTEB OnlineShopping
config: default
split: test
revision: e610f2ebd179a8fda30ae534c3878750a96db120
metrics:
- type: accuracy
value: 92.58
- type: ap
value: 90.58624365698103
- type: f1
value: 92.56998002261557
- task:
type: STS
dataset:
type: C-MTEB/PAWSX
name: MTEB PAWSX
config: default
split: test
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
metrics:
- type: cos_sim_pearson
value: 15.428347645738844
- type: cos_sim_spearman
value: 18.54916824520863
- type: euclidean_pearson
value: 18.525706701701317
- type: euclidean_spearman
value: 18.564855538117524
- type: manhattan_pearson
value: 18.54511262151164
- type: manhattan_spearman
value: 18.587848451111213
- task:
type: PairClassification
dataset:
type: paws-x
name: MTEB PawsX (zh)
config: zh
split: test
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
metrics:
- type: cos_sim_accuracy
value: 60.3
- type: cos_sim_ap
value: 57.92869006380703
- type: cos_sim_f1
value: 62.31681786461968
- type: cos_sim_precision
value: 45.283975659229206
- type: cos_sim_recall
value: 99.88814317673378
- type: dot_accuracy
value: 60.3
- type: dot_ap
value: 57.7632607916169
- type: dot_f1
value: 62.31681786461968
- type: dot_precision
value: 45.283975659229206
- type: dot_recall
value: 99.88814317673378
- type: euclidean_accuracy
value: 60.3
- type: euclidean_ap
value: 57.92869006380703
- type: euclidean_f1
value: 62.31681786461968
- type: euclidean_precision
value: 45.283975659229206
- type: euclidean_recall
value: 99.88814317673378
- type: manhattan_accuracy
value: 60.25
- type: manhattan_ap
value: 57.929597845689706
- type: manhattan_f1
value: 62.31681786461968
- type: manhattan_precision
value: 45.283975659229206
- type: manhattan_recall
value: 99.88814317673378
- type: max_accuracy
value: 60.3
- type: max_ap
value: 57.929597845689706
- type: max_f1
value: 62.31681786461968
- task:
type: STS
dataset:
type: C-MTEB/QBQTC
name: MTEB QBQTC
config: default
split: test
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
metrics:
- type: cos_sim_pearson
value: 28.445664430656038
- type: cos_sim_spearman
value: 29.599326690902288
- type: euclidean_pearson
value: 27.900455284977017
- type: euclidean_spearman
value: 29.599947224705264
- type: manhattan_pearson
value: 28.101656918683116
- type: manhattan_spearman
value: 29.78083888978687
- task:
type: STS
dataset:
type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (zh)
config: zh
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 61.13774633735679
- type: cos_sim_spearman
value: 65.43749616084263
- type: euclidean_pearson
value: 63.42122949030793
- type: euclidean_spearman
value: 65.43749616084263
- type: manhattan_pearson
value: 63.78466267937151
- type: manhattan_spearman
value: 65.4252196465631
- task:
type: STS
dataset:
type: C-MTEB/STSB
name: MTEB STSB
config: default
split: test
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
metrics:
- type: cos_sim_pearson
value: 66.43725663481563
- type: cos_sim_spearman
value: 66.91073455354187
- type: euclidean_pearson
value: 67.25178758750022
- type: euclidean_spearman
value: 66.91129699608939
- type: manhattan_pearson
value: 67.33381999971951
- type: manhattan_spearman
value: 66.9990458174529
- task:
type: Reranking
dataset:
type: C-MTEB/T2Reranking
name: MTEB T2Reranking
config: default
split: dev
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
metrics:
- type: map
value: 64.31327281684898
- type: mrr
value: 73.58095291829211
- task:
type: Retrieval
dataset:
type: C-MTEB/T2Retrieval
name: MTEB T2Retrieval
config: default
split: dev
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
metrics:
- type: map_at_1
value: 20.961
- type: map_at_10
value: 59.065
- type: map_at_100
value: 63.544
- type: map_at_1000
value: 63.681
- type: map_at_3
value: 40.849999999999994
- type: map_at_5
value: 50.268
- type: mrr_at_1
value: 74.934
- type: mrr_at_10
value: 80.571
- type: mrr_at_100
value: 80.814
- type: mrr_at_1000
value: 80.82300000000001
- type: mrr_at_3
value: 79.449
- type: mrr_at_5
value: 80.13
- type: ndcg_at_1
value: 74.934
- type: ndcg_at_10
value: 69.215
- type: ndcg_at_100
value: 75.61099999999999
- type: ndcg_at_1000
value: 77.03999999999999
- type: ndcg_at_3
value: 70.04899999999999
- type: ndcg_at_5
value: 68.50699999999999
- type: precision_at_1
value: 74.934
- type: precision_at_10
value: 35.569
- type: precision_at_100
value: 4.757
- type: precision_at_1000
value: 0.509
- type: precision_at_3
value: 61.802
- type: precision_at_5
value: 51.882
- type: recall_at_1
value: 20.961
- type: recall_at_10
value: 69.626
- type: recall_at_100
value: 89.464
- type: recall_at_1000
value: 96.721
- type: recall_at_3
value: 43.608999999999995
- type: recall_at_5
value: 55.724
- task:
type: Classification
dataset:
type: C-MTEB/TNews-classification
name: MTEB TNews
config: default
split: validation
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
metrics:
- type: accuracy
value: 50.01800000000001
- type: f1
value: 48.262341643251936
- task:
type: Clustering
dataset:
type: C-MTEB/ThuNewsClusteringP2P
name: MTEB ThuNewsClusteringP2P
config: default
split: test
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
metrics:
- type: v_measure
value: 60.68748256831344
- task:
type: Clustering
dataset:
type: C-MTEB/ThuNewsClusteringS2S
name: MTEB ThuNewsClusteringS2S
config: default
split: test
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
metrics:
- type: v_measure
value: 56.73298697800912
- task:
type: Retrieval
dataset:
type: C-MTEB/VideoRetrieval
name: MTEB VideoRetrieval
config: default
split: dev
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
metrics:
- type: map_at_1
value: 46.9
- type: map_at_10
value: 57.849
- type: map_at_100
value: 58.532
- type: map_at_1000
value: 58.553
- type: map_at_3
value: 55.467
- type: map_at_5
value: 56.92700000000001
- type: mrr_at_1
value: 46.9
- type: mrr_at_10
value: 57.849
- type: mrr_at_100
value: 58.532
- type: mrr_at_1000
value: 58.553
- type: mrr_at_3
value: 55.467
- type: mrr_at_5
value: 56.92700000000001
- type: ndcg_at_1
value: 46.9
- type: ndcg_at_10
value: 63.09
- type: ndcg_at_100
value: 66.43
- type: ndcg_at_1000
value: 66.949
- type: ndcg_at_3
value: 58.226
- type: ndcg_at_5
value: 60.838
- type: precision_at_1
value: 46.9
- type: precision_at_10
value: 7.95
- type: precision_at_100
value: 0.951
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 22.067
- type: precision_at_5
value: 14.499999999999998
- type: recall_at_1
value: 46.9
- type: recall_at_10
value: 79.5
- type: recall_at_100
value: 95.1
- type: recall_at_1000
value: 99.1
- type: recall_at_3
value: 66.2
- type: recall_at_5
value: 72.5
- task:
type: Classification
dataset:
type: C-MTEB/waimai-classification
name: MTEB Waimai
config: default
split: test
revision: 339287def212450dcaa9df8c22bf93e9980c7023
metrics:
- type: accuracy
value: 89.09
- type: ap
value: 74.68093732384233
- type: f1
value: 87.7768409829789