---
tags:
- mteb
model-index:
- name: winberta-large
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: None
metrics:
- type: cos_sim_pearson
value: 41.77725389846057
- type: cos_sim_spearman
value: 46.70255351226939
- type: euclidean_pearson
value: 45.22550045993912
- type: euclidean_spearman
value: 46.70255351226939
- type: manhattan_pearson
value: 45.19405644988887
- type: manhattan_spearman
value: 46.680519207418264
- task:
type: STS
dataset:
type: C-MTEB/ATEC
name: MTEB ATEC
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 41.90208621690777
- type: cos_sim_spearman
value: 49.95255202729448
- type: euclidean_pearson
value: 49.756907552767956
- type: euclidean_spearman
value: 49.95255202729448
- type: manhattan_pearson
value: 49.75325413164269
- type: manhattan_spearman
value: 49.96252496785108
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (zh)
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 42.038000000000004
- type: f1
value: 40.20953065985179
- task:
type: STS
dataset:
type: C-MTEB/BQ
name: MTEB BQ
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 54.24089984585099
- type: cos_sim_spearman
value: 56.075463873104766
- type: euclidean_pearson
value: 55.20252472986401
- type: euclidean_spearman
value: 56.075463873104766
- type: manhattan_pearson
value: 55.13086772848814
- type: manhattan_spearman
value: 56.02039158535162
- task:
type: Clustering
dataset:
type: C-MTEB/CLSClusteringP2P
name: MTEB CLSClusteringP2P
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 42.83769092800803
- task:
type: Clustering
dataset:
type: C-MTEB/CLSClusteringS2S
name: MTEB CLSClusteringS2S
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 39.772368416311195
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv1-reranking
name: MTEB CMedQAv1
config: default
split: test
revision: None
metrics:
- type: map
value: 78.3895639270477
- type: mrr
value: 81.64801587301588
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv2-reranking
name: MTEB CMedQAv2
config: default
split: test
revision: None
metrics:
- type: map
value: 80.84221923370502
- type: mrr
value: 84.32821428571428
- task:
type: Retrieval
dataset:
type: C-MTEB/CmedqaRetrieval
name: MTEB CmedqaRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 18.695999999999998
- type: map_at_10
value: 28.171000000000003
- type: map_at_100
value: 29.927
- type: map_at_1000
value: 30.09
- type: map_at_3
value: 24.854000000000003
- type: map_at_5
value: 26.573
- type: mrr_at_1
value: 29.256999999999998
- type: mrr_at_10
value: 36.584
- type: mrr_at_100
value: 37.643
- type: mrr_at_1000
value: 37.713
- type: mrr_at_3
value: 34.171
- type: mrr_at_5
value: 35.436
- type: ndcg_at_1
value: 29.256999999999998
- type: ndcg_at_10
value: 34.079
- type: ndcg_at_100
value: 41.538000000000004
- type: ndcg_at_1000
value: 44.651999999999994
- type: ndcg_at_3
value: 29.439999999999998
- type: ndcg_at_5
value: 31.172
- type: precision_at_1
value: 29.256999999999998
- type: precision_at_10
value: 7.804
- type: precision_at_100
value: 1.392
- type: precision_at_1000
value: 0.179
- type: precision_at_3
value: 16.804
- type: precision_at_5
value: 12.267999999999999
- type: recall_at_1
value: 18.695999999999998
- type: recall_at_10
value: 43.325
- type: recall_at_100
value: 74.765
- type: recall_at_1000
value: 95.999
- type: recall_at_3
value: 29.384
- type: recall_at_5
value: 34.765
- task:
type: PairClassification
dataset:
type: C-MTEB/CMNLI
name: MTEB Cmnli
config: default
split: validation
revision: None
metrics:
- type: cos_sim_accuracy
value: 79.15814792543597
- type: cos_sim_ap
value: 87.29838623651833
- type: cos_sim_f1
value: 80.6512349097353
- type: cos_sim_precision
value: 76.62037037037037
- type: cos_sim_recall
value: 85.1297638531681
- type: dot_accuracy
value: 79.15814792543597
- type: dot_ap
value: 87.30641807786448
- type: dot_f1
value: 80.6512349097353
- type: dot_precision
value: 76.62037037037037
- type: dot_recall
value: 85.1297638531681
- type: euclidean_accuracy
value: 79.15814792543597
- type: euclidean_ap
value: 87.29838623651833
- type: euclidean_f1
value: 80.6512349097353
- type: euclidean_precision
value: 76.62037037037037
- type: euclidean_recall
value: 85.1297638531681
- type: manhattan_accuracy
value: 79.15814792543597
- type: manhattan_ap
value: 87.29705330875109
- type: manhattan_f1
value: 80.66914498141264
- type: manhattan_precision
value: 75.76504415691106
- type: manhattan_recall
value: 86.2520458265139
- type: max_accuracy
value: 79.15814792543597
- type: max_ap
value: 87.30641807786448
- type: max_f1
value: 80.66914498141264
- task:
type: Retrieval
dataset:
type: C-MTEB/CovidRetrieval
name: MTEB CovidRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 58.325
- type: map_at_10
value: 67.572
- type: map_at_100
value: 68.142
- type: map_at_1000
value: 68.152
- type: map_at_3
value: 65.446
- type: map_at_5
value: 66.794
- type: mrr_at_1
value: 58.272
- type: mrr_at_10
value: 67.469
- type: mrr_at_100
value: 68.048
- type: mrr_at_1000
value: 68.05799999999999
- type: mrr_at_3
value: 65.385
- type: mrr_at_5
value: 66.728
- type: ndcg_at_1
value: 58.377
- type: ndcg_at_10
value: 71.922
- type: ndcg_at_100
value: 74.49799999999999
- type: ndcg_at_1000
value: 74.80799999999999
- type: ndcg_at_3
value: 67.711
- type: ndcg_at_5
value: 70.075
- type: precision_at_1
value: 58.377
- type: precision_at_10
value: 8.641
- type: precision_at_100
value: 0.9809999999999999
- type: precision_at_1000
value: 0.101
- type: precision_at_3
value: 24.833
- type: precision_at_5
value: 16.101
- type: recall_at_1
value: 58.325
- type: recall_at_10
value: 85.458
- type: recall_at_100
value: 97.05
- type: recall_at_1000
value: 99.579
- type: recall_at_3
value: 74.18299999999999
- type: recall_at_5
value: 79.768
- task:
type: Retrieval
dataset:
type: C-MTEB/DuRetrieval
name: MTEB DuRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 23.448
- type: map_at_10
value: 70.368
- type: map_at_100
value: 73.644
- type: map_at_1000
value: 73.727
- type: map_at_3
value: 48.317
- type: map_at_5
value: 61.114999999999995
- type: mrr_at_1
value: 83.5
- type: mrr_at_10
value: 88.592
- type: mrr_at_100
value: 88.69200000000001
- type: mrr_at_1000
value: 88.696
- type: mrr_at_3
value: 88.058
- type: mrr_at_5
value: 88.458
- type: ndcg_at_1
value: 83.5
- type: ndcg_at_10
value: 79.696
- type: ndcg_at_100
value: 83.88799999999999
- type: ndcg_at_1000
value: 84.64699999999999
- type: ndcg_at_3
value: 78.39500000000001
- type: ndcg_at_5
value: 77.289
- type: precision_at_1
value: 83.5
- type: precision_at_10
value: 38.525
- type: precision_at_100
value: 4.656
- type: precision_at_1000
value: 0.485
- type: precision_at_3
value: 70.383
- type: precision_at_5
value: 59.56
- type: recall_at_1
value: 23.448
- type: recall_at_10
value: 81.274
- type: recall_at_100
value: 94.447
- type: recall_at_1000
value: 98.209
- type: recall_at_3
value: 51.122
- type: recall_at_5
value: 67.29899999999999
- task:
type: Retrieval
dataset:
type: C-MTEB/EcomRetrieval
name: MTEB EcomRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 44.2
- type: map_at_10
value: 54.083999999999996
- type: map_at_100
value: 54.775
- type: map_at_1000
value: 54.800000000000004
- type: map_at_3
value: 51.5
- type: map_at_5
value: 52.94
- type: mrr_at_1
value: 44.2
- type: mrr_at_10
value: 54.083999999999996
- type: mrr_at_100
value: 54.775
- type: mrr_at_1000
value: 54.800000000000004
- type: mrr_at_3
value: 51.5
- type: mrr_at_5
value: 52.94
- type: ndcg_at_1
value: 44.2
- type: ndcg_at_10
value: 59.221999999999994
- type: ndcg_at_100
value: 62.463
- type: ndcg_at_1000
value: 63.159
- type: ndcg_at_3
value: 53.888000000000005
- type: ndcg_at_5
value: 56.483000000000004
- type: precision_at_1
value: 44.2
- type: precision_at_10
value: 7.55
- type: precision_at_100
value: 0.9039999999999999
- type: precision_at_1000
value: 0.096
- type: precision_at_3
value: 20.267
- type: precision_at_5
value: 13.420000000000002
- type: recall_at_1
value: 44.2
- type: recall_at_10
value: 75.5
- type: recall_at_100
value: 90.4
- type: recall_at_1000
value: 95.89999999999999
- type: recall_at_3
value: 60.8
- type: recall_at_5
value: 67.10000000000001
- task:
type: Classification
dataset:
type: C-MTEB/IFlyTek-classification
name: MTEB IFlyTek
config: default
split: validation
revision: None
metrics:
- type: accuracy
value: 46.30242400923432
- type: f1
value: 34.9084495621858
- task:
type: Classification
dataset:
type: C-MTEB/JDReview-classification
name: MTEB JDReview
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 77.2983114446529
- type: ap
value: 38.88426285856333
- type: f1
value: 70.55729261942591
- task:
type: STS
dataset:
type: C-MTEB/LCQMC
name: MTEB LCQMC
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 68.5643564120875
- type: cos_sim_spearman
value: 74.96268256412532
- type: euclidean_pearson
value: 74.05621406127399
- type: euclidean_spearman
value: 74.96268256412532
- type: manhattan_pearson
value: 74.04916252136826
- type: manhattan_spearman
value: 74.95628866390487
- task:
type: Reranking
dataset:
type: C-MTEB/Mmarco-reranking
name: MTEB MMarcoReranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 27.289171935571773
- type: mrr
value: 25.7218253968254
- task:
type: Retrieval
dataset:
type: C-MTEB/MMarcoRetrieval
name: MTEB MMarcoRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 61.632
- type: map_at_10
value: 70.796
- type: map_at_100
value: 71.21300000000001
- type: map_at_1000
value: 71.22800000000001
- type: map_at_3
value: 68.848
- type: map_at_5
value: 70.044
- type: mrr_at_1
value: 63.768
- type: mrr_at_10
value: 71.516
- type: mrr_at_100
value: 71.884
- type: mrr_at_1000
value: 71.897
- type: mrr_at_3
value: 69.814
- type: mrr_at_5
value: 70.843
- type: ndcg_at_1
value: 63.768
- type: ndcg_at_10
value: 74.727
- type: ndcg_at_100
value: 76.649
- type: ndcg_at_1000
value: 77.05300000000001
- type: ndcg_at_3
value: 71.00800000000001
- type: ndcg_at_5
value: 73.015
- type: precision_at_1
value: 63.768
- type: precision_at_10
value: 9.15
- type: precision_at_100
value: 1.012
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 26.848
- type: precision_at_5
value: 17.172
- type: recall_at_1
value: 61.632
- type: recall_at_10
value: 86.162
- type: recall_at_100
value: 94.953
- type: recall_at_1000
value: 98.148
- type: recall_at_3
value: 76.287
- type: recall_at_5
value: 81.03399999999999
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (af)
config: af
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 25.79690652320108
- type: f1
value: 24.093438782440067
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (am)
config: am
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 3.338937457969066
- type: f1
value: 2.404152046553366
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ar)
config: ar
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 6.489576328177541
- type: f1
value: 4.62270646032821
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (az)
config: az
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 24.767989240080695
- type: f1
value: 23.495689794075474
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (bn)
config: bn
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 4.29724277067922
- type: f1
value: 2.2466735164037934
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (cy)
config: cy
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 26.388702084734366
- type: f1
value: 23.86003112409349
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (da)
config: da
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 31.4694014794889
- type: f1
value: 29.017559554815392
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (de)
config: de
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 28.09011432414256
- type: f1
value: 24.796051996220104
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (el)
config: el
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 19.240080699394753
- type: f1
value: 16.13607169381968
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 53.406186953597846
- type: f1
value: 49.55550114595557
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (es)
config: es
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 30.615332885003365
- type: f1
value: 29.13481030937436
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (fa)
config: fa
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 7.205783456624077
- type: f1
value: 4.601802513446058
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (fi)
config: fi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 27.205783456624072
- type: f1
value: 24.177535740725418
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (fr)
config: fr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 32.63618022864828
- type: f1
value: 31.190168140021303
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (he)
config: he
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 2.6630800268997983
- type: f1
value: 1.913464455449111
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (hi)
config: hi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 4.593140551445864
- type: f1
value: 2.6428594688121865
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (hu)
config: hu
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 25.648957632817755
- type: f1
value: 22.88249345748577
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (hy)
config: hy
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 4.862138533960995
- type: f1
value: 2.739262235100375
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (id)
config: id
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 29.808338937457968
- type: f1
value: 29.055301842025006
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (is)
config: is
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 23.5305985205111
- type: f1
value: 21.232935753763023
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (it)
config: it
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 34.47209145931405
- type: f1
value: 32.987844813265305
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ja)
config: ja
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 39.40147948890383
- type: f1
value: 37.59135086216479
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (jv)
config: jv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 28.749159381304644
- type: f1
value: 26.132814845473103
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ka)
config: ka
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
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dataset:
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name: MTEB MassiveScenarioClassification (sl)
config: sl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 33.94418291862811
- type: f1
value: 30.577444242695694
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (sq)
config: sq
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 40.396772024209824
- type: f1
value: 36.028103018769436
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (sv)
config: sv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 30.722932078009418
- type: f1
value: 28.49491987141746
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (sw)
config: sw
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 37.14189643577674
- type: f1
value: 32.52116385408168
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ta)
config: ta
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 8.214525891055818
- type: f1
value: 4.448399109965533
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (te)
config: te
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 7.96570275722932
- type: f1
value: 5.128691464756114
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (th)
config: th
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 21.55682582380632
- type: f1
value: 17.110218757379613
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (tl)
config: tl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 36.70141223940821
- type: f1
value: 32.96113533567822
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (tr)
config: tr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 28.80295897780767
- type: f1
value: 27.77008973951413
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ur)
config: ur
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 10.460659045057163
- type: f1
value: 7.90075042321315
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (vi)
config: vi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 27.720242098184265
- type: f1
value: 26.76341970948208
- 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: 75.21183591123066
- type: f1
value: 74.55953469104787
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (zh-TW)
config: zh-TW
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.52320107599192
- type: f1
value: 71.16094498697193
- task:
type: Retrieval
dataset:
type: C-MTEB/MedicalRetrieval
name: MTEB MedicalRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 43.2
- type: map_at_10
value: 48.788
- type: map_at_100
value: 49.412
- type: map_at_1000
value: 49.480000000000004
- type: map_at_3
value: 47.55
- type: map_at_5
value: 48.27
- type: mrr_at_1
value: 43.2
- type: mrr_at_10
value: 48.788
- type: mrr_at_100
value: 49.412
- type: mrr_at_1000
value: 49.480000000000004
- type: mrr_at_3
value: 47.55
- type: mrr_at_5
value: 48.27
- type: ndcg_at_1
value: 43.2
- type: ndcg_at_10
value: 51.504000000000005
- type: ndcg_at_100
value: 54.718
- type: ndcg_at_1000
value: 56.754000000000005
- type: ndcg_at_3
value: 48.975
- type: ndcg_at_5
value: 50.283
- type: precision_at_1
value: 43.2
- type: precision_at_10
value: 6.0
- type: precision_at_100
value: 0.755
- type: precision_at_1000
value: 0.092
- type: precision_at_3
value: 17.7
- type: precision_at_5
value: 11.26
- type: recall_at_1
value: 43.2
- type: recall_at_10
value: 60.0
- type: recall_at_100
value: 75.5
- type: recall_at_1000
value: 92.0
- type: recall_at_3
value: 53.1
- type: recall_at_5
value: 56.3
- task:
type: Classification
dataset:
type: C-MTEB/MultilingualSentiment-classification
name: MTEB MultilingualSentiment
config: default
split: validation
revision: None
metrics:
- type: accuracy
value: 71.66666666666669
- type: f1
value: 71.30679309756734
- task:
type: PairClassification
dataset:
type: C-MTEB/OCNLI
name: MTEB Ocnli
config: default
split: validation
revision: None
metrics:
- type: cos_sim_accuracy
value: 73.47049269085004
- type: cos_sim_ap
value: 77.45627413542758
- type: cos_sim_f1
value: 76.38326585695006
- type: cos_sim_precision
value: 66.53605015673982
- type: cos_sim_recall
value: 89.65153115100317
- type: dot_accuracy
value: 73.47049269085004
- type: dot_ap
value: 77.45627413542758
- type: dot_f1
value: 76.38326585695006
- type: dot_precision
value: 66.53605015673982
- type: dot_recall
value: 89.65153115100317
- type: euclidean_accuracy
value: 73.47049269085004
- type: euclidean_ap
value: 77.45620654340667
- type: euclidean_f1
value: 76.38326585695006
- type: euclidean_precision
value: 66.53605015673982
- type: euclidean_recall
value: 89.65153115100317
- type: manhattan_accuracy
value: 73.36220898754738
- type: manhattan_ap
value: 77.37536169412738
- type: manhattan_f1
value: 76.38640429338103
- type: manhattan_precision
value: 66.25290923196276
- type: manhattan_recall
value: 90.17951425554382
- type: max_accuracy
value: 73.47049269085004
- type: max_ap
value: 77.45627413542758
- type: max_f1
value: 76.38640429338103
- task:
type: Classification
dataset:
type: C-MTEB/OnlineShopping-classification
name: MTEB OnlineShopping
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 91.53
- type: ap
value: 89.42581459526625
- type: f1
value: 91.52129393166419
- task:
type: STS
dataset:
type: C-MTEB/PAWSX
name: MTEB PAWSX
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 29.140746638094146
- type: cos_sim_spearman
value: 33.485405306894954
- type: euclidean_pearson
value: 33.519345307695055
- type: euclidean_spearman
value: 33.485405306894954
- type: manhattan_pearson
value: 33.477525315080555
- type: manhattan_spearman
value: 33.45108970796106
- task:
type: STS
dataset:
type: C-MTEB/QBQTC
name: MTEB QBQTC
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 29.1489803117667
- type: cos_sim_spearman
value: 31.064278185902484
- type: euclidean_pearson
value: 29.46668604738617
- type: euclidean_spearman
value: 31.064327209275294
- type: manhattan_pearson
value: 29.486028367555363
- type: manhattan_spearman
value: 31.08380235579532
- task:
type: STS
dataset:
type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (zh)
config: zh
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics:
- type: cos_sim_pearson
value: 62.11437173048506
- type: cos_sim_spearman
value: 64.51063977663124
- type: euclidean_pearson
value: 63.21313519423639
- type: euclidean_spearman
value: 64.51063977663124
- type: manhattan_pearson
value: 66.21953089701206
- type: manhattan_spearman
value: 66.39662588897919
- task:
type: STS
dataset:
type: C-MTEB/STSB
name: MTEB STSB
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 78.98157503278959
- type: cos_sim_spearman
value: 79.62582795918624
- type: euclidean_pearson
value: 79.44521376122044
- type: euclidean_spearman
value: 79.62582795918624
- type: manhattan_pearson
value: 79.4254734731864
- type: manhattan_spearman
value: 79.61078135348473
- task:
type: Reranking
dataset:
type: C-MTEB/T2Reranking
name: MTEB T2Reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 66.29923663749156
- type: mrr
value: 76.31176720293172
- task:
type: Retrieval
dataset:
type: C-MTEB/T2Retrieval
name: MTEB T2Retrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 24.518
- type: map_at_10
value: 67.938
- type: map_at_100
value: 71.769
- type: map_at_1000
value: 71.882
- type: map_at_3
value: 47.884
- type: map_at_5
value: 58.733000000000004
- type: mrr_at_1
value: 84.328
- type: mrr_at_10
value: 87.96000000000001
- type: mrr_at_100
value: 88.114
- type: mrr_at_1000
value: 88.12
- type: mrr_at_3
value: 87.306
- type: mrr_at_5
value: 87.734
- type: ndcg_at_1
value: 84.328
- type: ndcg_at_10
value: 77.077
- type: ndcg_at_100
value: 81.839
- type: ndcg_at_1000
value: 82.974
- type: ndcg_at_3
value: 79.209
- type: ndcg_at_5
value: 77.345
- type: precision_at_1
value: 84.328
- type: precision_at_10
value: 38.596000000000004
- type: precision_at_100
value: 4.825
- type: precision_at_1000
value: 0.51
- type: precision_at_3
value: 69.547
- type: precision_at_5
value: 58.033
- type: recall_at_1
value: 24.518
- type: recall_at_10
value: 75.982
- type: recall_at_100
value: 91.40899999999999
- type: recall_at_1000
value: 97.129
- type: recall_at_3
value: 50.014
- type: recall_at_5
value: 62.971
- task:
type: Classification
dataset:
type: C-MTEB/TNews-classification
name: MTEB TNews
config: default
split: validation
revision: None
metrics:
- type: accuracy
value: 50.17400000000001
- type: f1
value: 48.49778139007515
- task:
type: Clustering
dataset:
type: C-MTEB/ThuNewsClusteringP2P
name: MTEB ThuNewsClusteringP2P
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 58.925265567508944
- task:
type: Clustering
dataset:
type: C-MTEB/ThuNewsClusteringS2S
name: MTEB ThuNewsClusteringS2S
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 53.70728044857883
- task:
type: Retrieval
dataset:
type: C-MTEB/VideoRetrieval
name: MTEB VideoRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 49.5
- type: map_at_10
value: 59.772000000000006
- type: map_at_100
value: 60.312
- type: map_at_1000
value: 60.333000000000006
- type: map_at_3
value: 57.367000000000004
- type: map_at_5
value: 58.797
- type: mrr_at_1
value: 49.5
- type: mrr_at_10
value: 59.772000000000006
- type: mrr_at_100
value: 60.312
- type: mrr_at_1000
value: 60.333000000000006
- type: mrr_at_3
value: 57.367000000000004
- type: mrr_at_5
value: 58.797
- type: ndcg_at_1
value: 49.5
- type: ndcg_at_10
value: 64.672
- type: ndcg_at_100
value: 67.389
- type: ndcg_at_1000
value: 67.984
- type: ndcg_at_3
value: 59.8
- type: ndcg_at_5
value: 62.385999999999996
- type: precision_at_1
value: 49.5
- type: precision_at_10
value: 8.0
- type: precision_at_100
value: 0.9289999999999999
- type: precision_at_1000
value: 0.098
- type: precision_at_3
value: 22.267
- type: precision_at_5
value: 14.62
- type: recall_at_1
value: 49.5
- type: recall_at_10
value: 80.0
- type: recall_at_100
value: 92.9
- type: recall_at_1000
value: 97.7
- type: recall_at_3
value: 66.8
- type: recall_at_5
value: 73.1
- task:
type: Classification
dataset:
type: C-MTEB/waimai-classification
name: MTEB Waimai
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 85.97999999999999
- type: ap
value: 68.63874013611306
- type: f1
value: 84.22025909308913
---
---
license: apache-2.0
---