metadata
license: mit
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- bge
- mteb
- mergekit
- merge
base_model:
- Mihaiii/Wartortle
- TaylorAI/bge-micro-v2
model-index:
- name: Giratina
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 69.56716417910448
- type: ap
value: 31.399435128856624
- type: f1
value: 63.139089415537256
- task:
type: Classification
dataset:
type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 74.73525000000001
- type: ap
value: 69.2327764533514
- type: f1
value: 74.61617659775962
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 35.356
- type: f1
value: 35.165109893437204
- task:
type: Retrieval
dataset:
type: mteb/arguana
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 17.141000000000002
- type: map_at_10
value: 28.292
- type: map_at_100
value: 29.532000000000004
- type: map_at_1000
value: 29.580000000000002
- type: map_at_20
value: 29.048000000000002
- type: map_at_3
value: 24.277
- type: map_at_5
value: 26.339000000000002
- type: mrr_at_1
value: 17.781
- type: mrr_at_10
value: 28.534
- type: mrr_at_100
value: 29.779
- type: mrr_at_1000
value: 29.826999999999998
- type: mrr_at_20
value: 29.293000000000003
- type: mrr_at_3
value: 24.490000000000002
- type: mrr_at_5
value: 26.564
- type: ndcg_at_1
value: 17.141000000000002
- type: ndcg_at_10
value: 35.004000000000005
- type: ndcg_at_100
value: 41.056
- type: ndcg_at_1000
value: 42.388
- type: ndcg_at_20
value: 37.721
- type: ndcg_at_3
value: 26.592
- type: ndcg_at_5
value: 30.294999999999998
- type: precision_at_1
value: 17.141000000000002
- type: precision_at_10
value: 5.676
- type: precision_at_100
value: 0.851
- type: precision_at_1000
value: 0.096
- type: precision_at_20
value: 3.3709999999999996
- type: precision_at_3
value: 11.094999999999999
- type: precision_at_5
value: 8.450000000000001
- type: recall_at_1
value: 17.141000000000002
- type: recall_at_10
value: 56.757000000000005
- type: recall_at_100
value: 85.064
- type: recall_at_1000
value: 95.661
- type: recall_at_20
value: 67.425
- type: recall_at_3
value: 33.286
- type: recall_at_5
value: 42.248000000000005
- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
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value: 37.86211319797047
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- task:
type: Clustering
dataset:
type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
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type: Reranking
dataset:
type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 55.77162231859219
- type: mrr
value: 69.60614254935584
- task:
type: STS
dataset:
type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 75.005851173518
- type: cos_sim_spearman
value: 76.4866825599851
- type: euclidean_pearson
value: 74.6002011099264
- type: euclidean_spearman
value: 74.99267261434052
- type: manhattan_pearson
value: 74.69084330891174
- type: manhattan_spearman
value: 74.06253093850374
- task:
type: Classification
dataset:
type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 77.51298701298701
- type: f1
value: 77.42714563211781
- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 32.087909450126375
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- task:
type: Clustering
dataset:
type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 23.549481691079134
- type: v_measures
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- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-android
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 20.156
- type: map_at_10
value: 26.989
- type: map_at_100
value: 28.165000000000003
- type: map_at_1000
value: 28.302
- type: map_at_20
value: 27.505000000000003
- type: map_at_3
value: 24.631
- type: map_at_5
value: 25.886
- type: mrr_at_1
value: 25.607999999999997
- type: mrr_at_10
value: 31.972
- type: mrr_at_100
value: 32.993
- type: mrr_at_1000
value: 33.061
- type: mrr_at_20
value: 32.471
- type: mrr_at_3
value: 30.019000000000002
- type: mrr_at_5
value: 31.041999999999998
- type: ndcg_at_1
value: 25.607999999999997
- type: ndcg_at_10
value: 31.438
- type: ndcg_at_100
value: 37.347
- type: ndcg_at_1000
value: 40.075
- type: ndcg_at_20
value: 33.068
- type: ndcg_at_3
value: 27.846
- type: ndcg_at_5
value: 29.304999999999996
- type: precision_at_1
value: 25.607999999999997
- type: precision_at_10
value: 5.923
- type: precision_at_100
value: 1.102
- type: precision_at_1000
value: 0.161
- type: precision_at_20
value: 3.5340000000000003
- type: precision_at_3
value: 13.305
- type: precision_at_5
value: 9.585
- type: recall_at_1
value: 20.156
- type: recall_at_10
value: 39.741
- type: recall_at_100
value: 66.428
- type: recall_at_1000
value: 84.694
- type: recall_at_20
value: 45.688
- type: recall_at_3
value: 28.876
- type: recall_at_5
value: 33.284000000000006
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-english
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 14.568
- type: map_at_10
value: 19.356
- type: map_at_100
value: 20.044
- type: map_at_1000
value: 20.146
- type: map_at_20
value: 19.717000000000002
- type: map_at_3
value: 17.82
- type: map_at_5
value: 18.724
- type: mrr_at_1
value: 18.025
- type: mrr_at_10
value: 22.933
- type: mrr_at_100
value: 23.599
- type: mrr_at_1000
value: 23.669999999999998
- type: mrr_at_20
value: 23.283
- type: mrr_at_3
value: 21.295
- type: mrr_at_5
value: 22.314
- type: ndcg_at_1
value: 18.025
- type: ndcg_at_10
value: 22.559
- type: ndcg_at_100
value: 26.045
- type: ndcg_at_1000
value: 28.785
- type: ndcg_at_20
value: 23.727999999999998
- type: ndcg_at_3
value: 19.914
- type: ndcg_at_5
value: 21.241
- type: precision_at_1
value: 18.025
- type: precision_at_10
value: 4.102
- type: precision_at_100
value: 0.715
- type: precision_at_1000
value: 0.11800000000000001
- type: precision_at_20
value: 2.452
- type: precision_at_3
value: 9.447999999999999
- type: precision_at_5
value: 6.827999999999999
- type: recall_at_1
value: 14.568
- type: recall_at_10
value: 28.677999999999997
- type: recall_at_100
value: 44.362
- type: recall_at_1000
value: 63.705999999999996
- type: recall_at_20
value: 32.932
- type: recall_at_3
value: 21.029999999999998
- type: recall_at_5
value: 24.573
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gaming
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 25.104
- type: map_at_10
value: 33.857
- type: map_at_100
value: 34.808
- type: map_at_1000
value: 34.904
- type: map_at_20
value: 34.404
- type: map_at_3
value: 31.176
- type: map_at_5
value: 32.626
- type: mrr_at_1
value: 28.84
- type: mrr_at_10
value: 36.817
- type: mrr_at_100
value: 37.633
- type: mrr_at_1000
value: 37.698
- type: mrr_at_20
value: 37.312
- type: mrr_at_3
value: 34.451
- type: mrr_at_5
value: 35.748999999999995
- type: ndcg_at_1
value: 28.84
- type: ndcg_at_10
value: 38.745000000000005
- type: ndcg_at_100
value: 43.183
- type: ndcg_at_1000
value: 45.419
- type: ndcg_at_20
value: 40.571
- type: ndcg_at_3
value: 33.751
- type: ndcg_at_5
value: 36.042
- type: precision_at_1
value: 28.84
- type: precision_at_10
value: 6.389
- type: precision_at_100
value: 0.941
- type: precision_at_1000
value: 0.12
- type: precision_at_20
value: 3.6929999999999996
- type: precision_at_3
value: 15.068000000000001
- type: precision_at_5
value: 10.583
- type: recall_at_1
value: 25.104
- type: recall_at_10
value: 50.749
- type: recall_at_100
value: 70.336
- type: recall_at_1000
value: 86.591
- type: recall_at_20
value: 57.473
- type: recall_at_3
value: 37.230000000000004
- type: recall_at_5
value: 42.774
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-gis
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 12.712000000000002
- type: map_at_10
value: 18.064
- type: map_at_100
value: 18.775
- type: map_at_1000
value: 18.886
- type: map_at_20
value: 18.375
- type: map_at_3
value: 16.304
- type: map_at_5
value: 17.183999999999997
- type: mrr_at_1
value: 13.672
- type: mrr_at_10
value: 19.392
- type: mrr_at_100
value: 20.088
- type: mrr_at_1000
value: 20.186999999999998
- type: mrr_at_20
value: 19.721
- type: mrr_at_3
value: 17.495
- type: mrr_at_5
value: 18.473
- type: ndcg_at_1
value: 13.672
- type: ndcg_at_10
value: 21.427
- type: ndcg_at_100
value: 25.448999999999998
- type: ndcg_at_1000
value: 28.78
- type: ndcg_at_20
value: 22.56
- type: ndcg_at_3
value: 17.752000000000002
- type: ndcg_at_5
value: 19.356
- type: precision_at_1
value: 13.672
- type: precision_at_10
value: 3.5029999999999997
- type: precision_at_100
value: 0.5910000000000001
- type: precision_at_1000
value: 0.092
- type: precision_at_20
value: 2.011
- type: precision_at_3
value: 7.571
- type: precision_at_5
value: 5.537
- type: recall_at_1
value: 12.712000000000002
- type: recall_at_10
value: 30.596
- type: recall_at_100
value: 49.909
- type: recall_at_1000
value: 76.01400000000001
- type: recall_at_20
value: 34.903
- type: recall_at_3
value: 20.721999999999998
- type: recall_at_5
value: 24.428
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-mathematica
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 7.48
- type: map_at_10
value: 12.089
- type: map_at_100
value: 12.974
- type: map_at_1000
value: 13.099
- type: map_at_20
value: 12.537
- type: map_at_3
value: 10.402000000000001
- type: map_at_5
value: 11.261000000000001
- type: mrr_at_1
value: 9.577
- type: mrr_at_10
value: 15.043999999999999
- type: mrr_at_100
value: 15.909
- type: mrr_at_1000
value: 15.998000000000001
- type: mrr_at_20
value: 15.512999999999998
- type: mrr_at_3
value: 13.184000000000001
- type: mrr_at_5
value: 14.066999999999998
- type: ndcg_at_1
value: 9.577
- type: ndcg_at_10
value: 15.511
- type: ndcg_at_100
value: 20.193
- type: ndcg_at_1000
value: 23.691000000000003
- type: ndcg_at_20
value: 17.176
- type: ndcg_at_3
value: 12.134
- type: ndcg_at_5
value: 13.506000000000002
- type: precision_at_1
value: 9.577
- type: precision_at_10
value: 3.159
- type: precision_at_100
value: 0.634
- type: precision_at_1000
value: 0.106
- type: precision_at_20
value: 2.009
- type: precision_at_3
value: 6.012
- type: precision_at_5
value: 4.627
- type: recall_at_1
value: 7.48
- type: recall_at_10
value: 23.134
- type: recall_at_100
value: 44.254
- type: recall_at_1000
value: 70.35
- type: recall_at_20
value: 29.383
- type: recall_at_3
value: 13.84
- type: recall_at_5
value: 17.175
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-physics
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 18.035
- type: map_at_10
value: 24.007
- type: map_at_100
value: 25.113999999999997
- type: map_at_1000
value: 25.245
- type: map_at_20
value: 24.587
- type: map_at_3
value: 21.921
- type: map_at_5
value: 22.917
- type: mrr_at_1
value: 22.233
- type: mrr_at_10
value: 28.479
- type: mrr_at_100
value: 29.412
- type: mrr_at_1000
value: 29.49
- type: mrr_at_20
value: 29.031000000000002
- type: mrr_at_3
value: 26.275
- type: mrr_at_5
value: 27.400999999999996
- type: ndcg_at_1
value: 22.233
- type: ndcg_at_10
value: 28.382
- type: ndcg_at_100
value: 33.86
- type: ndcg_at_1000
value: 36.903000000000006
- type: ndcg_at_20
value: 30.341
- type: ndcg_at_3
value: 24.695
- type: ndcg_at_5
value: 26.13
- type: precision_at_1
value: 22.233
- type: precision_at_10
value: 5.2170000000000005
- type: precision_at_100
value: 0.95
- type: precision_at_1000
value: 0.13899999999999998
- type: precision_at_20
value: 3.2239999999999998
- type: precision_at_3
value: 11.485
- type: precision_at_5
value: 8.181
- type: recall_at_1
value: 18.035
- type: recall_at_10
value: 37.222
- type: recall_at_100
value: 61.602000000000004
- type: recall_at_1000
value: 82.92
- type: recall_at_20
value: 44.221
- type: recall_at_3
value: 26.625
- type: recall_at_5
value: 30.461
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-programmers
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 13.281
- type: map_at_10
value: 17.756
- type: map_at_100
value: 18.785
- type: map_at_1000
value: 18.921
- type: map_at_20
value: 18.209
- type: map_at_3
value: 15.817999999999998
- type: map_at_5
value: 16.939
- type: mrr_at_1
value: 16.096
- type: mrr_at_10
value: 21.079
- type: mrr_at_100
value: 22.061
- type: mrr_at_1000
value: 22.151
- type: mrr_at_20
value: 21.557000000000002
- type: mrr_at_3
value: 19.006999999999998
- type: mrr_at_5
value: 20.171
- type: ndcg_at_1
value: 16.096
- type: ndcg_at_10
value: 21.278
- type: ndcg_at_100
value: 26.687
- type: ndcg_at_1000
value: 30.016
- type: ndcg_at_20
value: 22.871
- type: ndcg_at_3
value: 17.705000000000002
- type: ndcg_at_5
value: 19.427
- type: precision_at_1
value: 16.096
- type: precision_at_10
value: 3.893
- type: precision_at_100
value: 0.792
- type: precision_at_1000
value: 0.124
- type: precision_at_20
value: 2.414
- type: precision_at_3
value: 8.029
- type: precision_at_5
value: 6.119
- type: recall_at_1
value: 13.281
- type: recall_at_10
value: 28.849000000000004
- type: recall_at_100
value: 53.010999999999996
- type: recall_at_1000
value: 76.512
- type: recall_at_20
value: 34.547
- type: recall_at_3
value: 19.177
- type: recall_at_5
value: 23.455000000000002
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 14.161583333333333
- type: map_at_10
value: 19.378833333333333
- type: map_at_100
value: 20.27525
- type: map_at_1000
value: 20.394499999999997
- type: map_at_20
value: 19.831333333333333
- type: map_at_3
value: 17.55408333333333
- type: map_at_5
value: 18.52841666666667
- type: mrr_at_1
value: 17.00033333333333
- type: mrr_at_10
value: 22.41916666666667
- type: mrr_at_100
value: 23.252666666666666
- type: mrr_at_1000
value: 23.337583333333335
- type: mrr_at_20
value: 22.866666666666667
- type: mrr_at_3
value: 20.56991666666667
- type: mrr_at_5
value: 21.567666666666664
- type: ndcg_at_1
value: 17.00033333333333
- type: ndcg_at_10
value: 22.96475
- type: ndcg_at_100
value: 27.526833333333332
- type: ndcg_at_1000
value: 30.597416666666668
- type: ndcg_at_20
value: 24.52133333333333
- type: ndcg_at_3
value: 19.60108333333334
- type: ndcg_at_5
value: 21.089750000000002
- type: precision_at_1
value: 17.00033333333333
- type: precision_at_10
value: 4.10625
- type: precision_at_100
value: 0.7497499999999999
- type: precision_at_1000
value: 0.11733333333333335
- type: precision_at_20
value: 2.499416666666667
- type: precision_at_3
value: 9.041
- type: precision_at_5
value: 6.554250000000001
- type: recall_at_1
value: 14.161583333333333
- type: recall_at_10
value: 30.899916666666666
- type: recall_at_100
value: 51.66383333333333
- type: recall_at_1000
value: 74.103
- type: recall_at_20
value: 36.698
- type: recall_at_3
value: 21.398
- type: recall_at_5
value: 25.241750000000003
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-stats
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 13.036
- type: map_at_10
value: 17.142
- type: map_at_100
value: 17.915
- type: map_at_1000
value: 18.002000000000002
- type: map_at_20
value: 17.558
- type: map_at_3
value: 15.459
- type: map_at_5
value: 16.474
- type: mrr_at_1
value: 14.877
- type: mrr_at_10
value: 19.365
- type: mrr_at_100
value: 20.085
- type: mrr_at_1000
value: 20.165
- type: mrr_at_20
value: 19.75
- type: mrr_at_3
value: 17.638
- type: mrr_at_5
value: 18.673000000000002
- type: ndcg_at_1
value: 14.877
- type: ndcg_at_10
value: 20.199
- type: ndcg_at_100
value: 24.275
- type: ndcg_at_1000
value: 26.933
- type: ndcg_at_20
value: 21.683
- type: ndcg_at_3
value: 16.925
- type: ndcg_at_5
value: 18.565
- type: precision_at_1
value: 14.877
- type: precision_at_10
value: 3.374
- type: precision_at_100
value: 0.59
- type: precision_at_1000
value: 0.087
- type: precision_at_20
value: 2.04
- type: precision_at_3
value: 7.515
- type: precision_at_5
value: 5.491
- type: recall_at_1
value: 13.036
- type: recall_at_10
value: 27.750000000000004
- type: recall_at_100
value: 46.798
- type: recall_at_1000
value: 67.372
- type: recall_at_20
value: 33.406000000000006
- type: recall_at_3
value: 18.381
- type: recall_at_5
value: 22.559
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-tex
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 8.448
- type: map_at_10
value: 11.978
- type: map_at_100
value: 12.736
- type: map_at_1000
value: 12.848
- type: map_at_20
value: 12.354
- type: map_at_3
value: 10.687000000000001
- type: map_at_5
value: 11.344
- type: mrr_at_1
value: 10.771
- type: mrr_at_10
value: 14.753
- type: mrr_at_100
value: 15.501000000000001
- type: mrr_at_1000
value: 15.592
- type: mrr_at_20
value: 15.148
- type: mrr_at_3
value: 13.425999999999998
- type: mrr_at_5
value: 14.059
- type: ndcg_at_1
value: 10.771
- type: ndcg_at_10
value: 14.788
- type: ndcg_at_100
value: 18.769
- type: ndcg_at_1000
value: 21.939
- type: ndcg_at_20
value: 16.113
- type: ndcg_at_3
value: 12.356
- type: ndcg_at_5
value: 13.316
- type: precision_at_1
value: 10.771
- type: precision_at_10
value: 2.842
- type: precision_at_100
value: 0.58
- type: precision_at_1000
value: 0.099
- type: precision_at_20
value: 1.807
- type: precision_at_3
value: 5.976
- type: precision_at_5
value: 4.322
- type: recall_at_1
value: 8.448
- type: recall_at_10
value: 20.666
- type: recall_at_100
value: 39.111000000000004
- type: recall_at_1000
value: 62.673
- type: recall_at_20
value: 25.686999999999998
- type: recall_at_3
value: 13.572999999999999
- type: recall_at_5
value: 16.239
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-unix
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 14.025000000000002
- type: map_at_10
value: 18.605
- type: map_at_100
value: 19.442999999999998
- type: map_at_1000
value: 19.569
- type: map_at_20
value: 19.070999999999998
- type: map_at_3
value: 17.072000000000003
- type: map_at_5
value: 17.866
- type: mrr_at_1
value: 16.511
- type: mrr_at_10
value: 21.633
- type: mrr_at_100
value: 22.419
- type: mrr_at_1000
value: 22.521
- type: mrr_at_20
value: 22.063
- type: mrr_at_3
value: 19.932
- type: mrr_at_5
value: 20.864
- type: ndcg_at_1
value: 16.511
- type: ndcg_at_10
value: 21.931
- type: ndcg_at_100
value: 26.088
- type: ndcg_at_1000
value: 29.564
- type: ndcg_at_20
value: 23.557
- type: ndcg_at_3
value: 18.869
- type: ndcg_at_5
value: 20.203
- type: precision_at_1
value: 16.511
- type: precision_at_10
value: 3.7220000000000004
- type: precision_at_100
value: 0.637
- type: precision_at_1000
value: 0.105
- type: precision_at_20
value: 2.299
- type: precision_at_3
value: 8.52
- type: precision_at_5
value: 6.007
- type: recall_at_1
value: 14.025000000000002
- type: recall_at_10
value: 29.24
- type: recall_at_100
value: 47.771
- type: recall_at_1000
value: 73.37599999999999
- type: recall_at_20
value: 35.148
- type: recall_at_3
value: 20.721
- type: recall_at_5
value: 24.162
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-webmasters
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 14.610000000000001
- type: map_at_10
value: 20.089000000000002
- type: map_at_100
value: 21.105
- type: map_at_1000
value: 21.275
- type: map_at_20
value: 20.604
- type: map_at_3
value: 18.323
- type: map_at_5
value: 19.192
- type: mrr_at_1
value: 18.182000000000002
- type: mrr_at_10
value: 23.458000000000002
- type: mrr_at_100
value: 24.379
- type: mrr_at_1000
value: 24.474999999999998
- type: mrr_at_20
value: 23.973
- type: mrr_at_3
value: 21.64
- type: mrr_at_5
value: 22.579
- type: ndcg_at_1
value: 18.182000000000002
- type: ndcg_at_10
value: 23.842
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value: 28.604000000000003
- type: ndcg_at_1000
value: 32.192
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value: 25.507
- type: ndcg_at_3
value: 20.937
- type: ndcg_at_5
value: 22.125
- type: precision_at_1
value: 18.182000000000002
- type: precision_at_10
value: 4.526
- type: precision_at_100
value: 0.955
- type: precision_at_1000
value: 0.17500000000000002
- type: precision_at_20
value: 2.846
- type: precision_at_3
value: 10.079
- type: precision_at_5
value: 7.194000000000001
- type: recall_at_1
value: 14.610000000000001
- type: recall_at_10
value: 31.086999999999996
- type: recall_at_100
value: 53.032000000000004
- type: recall_at_1000
value: 77.781
- type: recall_at_20
value: 37.801
- type: recall_at_3
value: 22.078999999999997
- type: recall_at_5
value: 25.572
- task:
type: Retrieval
dataset:
type: mteb/cqadupstack-wordpress
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 8.484
- type: map_at_10
value: 12.614
- type: map_at_100
value: 13.439
- type: map_at_1000
value: 13.536999999999999
- type: map_at_20
value: 13.055
- type: map_at_3
value: 11.036
- type: map_at_5
value: 11.927999999999999
- type: mrr_at_1
value: 9.612
- type: mrr_at_10
value: 14.105
- type: mrr_at_100
value: 14.953
- type: mrr_at_1000
value: 15.043000000000001
- type: mrr_at_20
value: 14.578
- type: mrr_at_3
value: 12.477
- type: mrr_at_5
value: 13.420000000000002
- type: ndcg_at_1
value: 9.612
- type: ndcg_at_10
value: 15.476999999999999
- type: ndcg_at_100
value: 19.822
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value: 22.872
- type: ndcg_at_20
value: 17.081
- type: ndcg_at_3
value: 12.328999999999999
- type: ndcg_at_5
value: 13.861
- type: precision_at_1
value: 9.612
- type: precision_at_10
value: 2.625
- type: precision_at_100
value: 0.51
- type: precision_at_1000
value: 0.082
- type: precision_at_20
value: 1.664
- type: precision_at_3
value: 5.484
- type: precision_at_5
value: 4.1770000000000005
- type: recall_at_1
value: 8.484
- type: recall_at_10
value: 23.087
- type: recall_at_100
value: 43.352000000000004
- type: recall_at_1000
value: 67.247
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value: 29.187
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value: 14.521999999999998
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value: 18.218999999999998
- task:
type: Classification
dataset:
type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 39.095
- type: f1
value: 35.03781407521973
- task:
type: Classification
dataset:
type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 67.87360000000001
- type: ap
value: 62.5359530212091
- type: f1
value: 67.76861907065303
- task:
type: Classification
dataset:
type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.98176014591884
- type: f1
value: 89.12439802681382
- task:
type: Classification
dataset:
type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 66.42954856361149
- type: f1
value: 46.845543295765395
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 65.15131136516476
- type: f1
value: 63.15954994502248
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 70.74983187626093
- type: f1
value: 69.86842975748304
- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
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value: 28.540533318170436
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- task:
type: Clustering
dataset:
type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 24.72766780458758
- type: v_measures
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- task:
type: Reranking
dataset:
type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 29.041674385781967
- type: mrr
value: 29.79989064897717
- task:
type: Clustering
dataset:
type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 35.536820860805534
- type: v_measures
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- task:
type: Clustering
dataset:
type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
metrics:
- type: v_measure
value: 47.42966991443242
- type: v_measures
value:
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type: STS
dataset:
type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
metrics:
- type: cos_sim_pearson
value: 79.02197797488559
- type: cos_sim_spearman
value: 71.7037151299904
- type: euclidean_pearson
value: 76.1707252695092
- type: euclidean_spearman
value: 71.57310842242731
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value: 76.03615971307154
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value: 71.53631984773847
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type: STS
dataset:
type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 79.02494360083622
- type: cos_sim_spearman
value: 69.72575299384381
- type: euclidean_pearson
value: 75.74354904408656
- type: euclidean_spearman
value: 69.54484408453516
- type: manhattan_pearson
value: 75.77951962076156
- type: manhattan_spearman
value: 69.6354936146991
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type: STS
dataset:
type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 75.08237871140905
- type: cos_sim_spearman
value: 76.43254419101892
- type: euclidean_pearson
value: 77.01392166862142
- type: euclidean_spearman
value: 77.25873928927386
- type: manhattan_pearson
value: 76.8322542796806
- type: manhattan_spearman
value: 77.06622162313037
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type: STS
dataset:
type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 76.15651557768992
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value: 73.66468164294979
- type: euclidean_pearson
value: 76.01343601779764
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value: 74.26813269648791
- type: manhattan_pearson
value: 75.81532622772455
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value: 74.11890179466049
- task:
type: STS
dataset:
type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 81.80212103727666
- type: cos_sim_spearman
value: 82.61832225494061
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value: 81.83006587249692
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value: 82.61429686151203
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value: 81.76278849963437
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value: 82.54152053739365
- task:
type: STS
dataset:
type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 77.75548172603382
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value: 79.48976464310448
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value: 78.54266801280951
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value: 79.30766703387586
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value: 78.28008795002846
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value: 79.07395809817007
- task:
type: STS
dataset:
type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 83.813657478234
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value: 84.38223117622964
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value: 84.57065602789609
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value: 83.8380794185294
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value: 84.42039206232738
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value: 83.74732339282085
- task:
type: STS
dataset:
type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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value: 50.88695953591733
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value: 60.61167810477114
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value: 55.81887963485168
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value: 60.28385340456606
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value: 56.03578991214848
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value: 59.94178607215249
- task:
type: STS
dataset:
type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 78.97129674864591
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value: 78.60681572589853
- type: euclidean_pearson
value: 79.71108582359511
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value: 78.71541582168763
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value: 79.55279136411954
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value: 78.57797218212967
- task:
type: Reranking
dataset:
type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 72.91005664580126
- type: mrr
value: 91.49957703879274
- task:
type: PairClassification
dataset:
type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.73960396039604
- type: cos_sim_ap
value: 92.14278266682584
- type: cos_sim_f1
value: 86.90890990542557
- type: cos_sim_precision
value: 86.5213082259663
- type: cos_sim_recall
value: 87.3
- type: dot_accuracy
value: 99.49801980198019
- type: dot_ap
value: 77.95867119922542
- type: dot_f1
value: 71.30528586839266
- type: dot_precision
value: 77.40046838407494
- type: dot_recall
value: 66.10000000000001
- type: euclidean_accuracy
value: 99.73861386138614
- type: euclidean_ap
value: 92.13035792099073
- type: euclidean_f1
value: 86.81102362204726
- type: euclidean_precision
value: 85.46511627906976
- type: euclidean_recall
value: 88.2
- type: manhattan_accuracy
value: 99.73762376237623
- type: manhattan_ap
value: 92.12382961875572
- type: manhattan_f1
value: 86.85770750988142
- type: manhattan_precision
value: 85.83984375
- type: manhattan_recall
value: 87.9
- type: max_accuracy
value: 99.73960396039604
- type: max_ap
value: 92.14278266682584
- type: max_f1
value: 86.90890990542557
- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
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value: 46.543842750900396
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- task:
type: Clustering
dataset:
type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
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value: 30.878511440057455
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- task:
type: Reranking
dataset:
type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 44.48878112961158
- type: mrr
value: 45.088675621763855
- task:
type: Summarization
dataset:
type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.941315767578654
- type: cos_sim_spearman
value: 29.329027079065966
- type: dot_pearson
value: 25.836517566143634
- type: dot_spearman
value: 26.352097845535162
- task:
type: Classification
dataset:
type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
metrics:
- type: accuracy
value: 64.013671875
- type: ap
value: 10.97313563679864
- type: f1
value: 48.85384219487
- task:
type: Classification
dataset:
type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 54.25863044708545
- type: f1
value: 54.478056275468234
- task:
type: Clustering
dataset:
type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 28.676358868345943
- type: v_measures
value:
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- task:
type: PairClassification
dataset:
type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 83.23895809739524
- type: cos_sim_ap
value: 63.43837390346798
- type: cos_sim_f1
value: 60.3425871234495
- type: cos_sim_precision
value: 54.63101604278074
- type: cos_sim_recall
value: 67.38786279683377
- type: dot_accuracy
value: 79.70435715562974
- type: dot_ap
value: 50.219858779642024
- type: dot_f1
value: 52.03935006079363
- type: dot_precision
value: 44.778390717139054
- type: dot_recall
value: 62.11081794195251
- type: euclidean_accuracy
value: 83.3581689217381
- type: euclidean_ap
value: 63.866502871821886
- type: euclidean_f1
value: 60.66180862501495
- type: euclidean_precision
value: 55.42457978607291
- type: euclidean_recall
value: 66.99208443271768
- type: manhattan_accuracy
value: 83.32836621565238
- type: manhattan_ap
value: 63.58246341419401
- type: manhattan_f1
value: 60.405654578979714
- type: manhattan_precision
value: 56.54775604142692
- type: manhattan_recall
value: 64.82849604221636
- type: max_accuracy
value: 83.3581689217381
- type: max_ap
value: 63.866502871821886
- type: max_f1
value: 60.66180862501495
- task:
type: PairClassification
dataset:
type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 87.77894205767066
- type: cos_sim_ap
value: 83.5297230824822
- type: cos_sim_f1
value: 75.65036420395423
- type: cos_sim_precision
value: 73.11781609195403
- type: cos_sim_recall
value: 78.3646442870342
- type: dot_accuracy
value: 86.03058175185313
- type: dot_ap
value: 78.95144253575621
- type: dot_f1
value: 72.20582032897512
- type: dot_precision
value: 66.42524573202276
- type: dot_recall
value: 79.08838928241454
- type: euclidean_accuracy
value: 87.7265494624908
- type: euclidean_ap
value: 83.29997302389856
- type: euclidean_f1
value: 75.38237163905613
- type: euclidean_precision
value: 73.28582854649895
- type: euclidean_recall
value: 77.60240221743148
- type: manhattan_accuracy
value: 87.65475220242946
- type: manhattan_ap
value: 83.1779453049763
- type: manhattan_f1
value: 75.17620001483792
- type: manhattan_precision
value: 72.53400143163923
- type: manhattan_recall
value: 78.01817061903296
- type: max_accuracy
value: 87.77894205767066
- type: max_ap
value: 83.5297230824822
- type: max_f1
value: 75.65036420395423
Giratina
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Mihaiii/Wartortle
- model: TaylorAI/bge-micro-v2
merge_method: slerp
base_model: TaylorAI/bge-micro-v2
parameters:
t:
- value: 0.5
dtype: float32