diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..52373fe24473b1aa44333d318f578ae6bf04b49b 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..4d8158e44a3dbdce2a2beb633adeac2d7935c2ae
--- /dev/null
+++ b/README.md
@@ -0,0 +1,5283 @@
+---
+tags:
+- mteb
+model-index:
+- name: mteb
+ results:
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_counterfactual
+ name: MTEB AmazonCounterfactualClassification (en)
+ config: en
+ split: test
+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+ metrics:
+ - type: accuracy
+ value: 76.23880597014924
+ - type: ap
+ value: 39.07351965022687
+ - type: f1
+ value: 70.04836733862683
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_counterfactual
+ name: MTEB AmazonCounterfactualClassification (de)
+ config: de
+ split: test
+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+ metrics:
+ - type: accuracy
+ value: 66.71306209850107
+ - type: ap
+ value: 79.01499914759529
+ - type: f1
+ value: 64.81951817560703
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_counterfactual
+ name: MTEB AmazonCounterfactualClassification (en-ext)
+ config: en-ext
+ split: test
+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+ metrics:
+ - type: accuracy
+ value: 73.85307346326837
+ - type: ap
+ value: 22.447519885878737
+ - type: f1
+ value: 61.0162730745633
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_counterfactual
+ name: MTEB AmazonCounterfactualClassification (ja)
+ config: ja
+ split: test
+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+ metrics:
+ - type: accuracy
+ value: 76.04925053533191
+ - type: ap
+ value: 23.44983217128922
+ - type: f1
+ value: 62.5723230907759
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_polarity
+ name: MTEB AmazonPolarityClassification
+ config: default
+ split: test
+ revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+ metrics:
+ - type: accuracy
+ value: 96.28742500000001
+ - type: ap
+ value: 94.8449918887462
+ - type: f1
+ value: 96.28680923610432
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_reviews_multi
+ name: MTEB AmazonReviewsClassification (en)
+ config: en
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 56.716
+ - type: f1
+ value: 55.76510398266401
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_reviews_multi
+ name: MTEB AmazonReviewsClassification (de)
+ config: de
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 52.99999999999999
+ - type: f1
+ value: 52.00829994765178
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_reviews_multi
+ name: MTEB AmazonReviewsClassification (es)
+ config: es
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 48.806000000000004
+ - type: f1
+ value: 48.082345914983634
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_reviews_multi
+ name: MTEB AmazonReviewsClassification (fr)
+ config: fr
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 48.507999999999996
+ - type: f1
+ value: 47.68752844642045
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_reviews_multi
+ name: MTEB AmazonReviewsClassification (ja)
+ config: ja
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 47.709999999999994
+ - type: f1
+ value: 47.05870376637181
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/amazon_reviews_multi
+ name: MTEB AmazonReviewsClassification (zh)
+ config: zh
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 44.662000000000006
+ - type: f1
+ value: 43.42371965372771
+ - task:
+ type: Retrieval
+ dataset:
+ type: arguana
+ name: MTEB ArguAna
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 31.721
+ - type: map_at_10
+ value: 49.221
+ - type: map_at_100
+ value: 49.884
+ - type: map_at_1000
+ value: 49.888
+ - type: map_at_3
+ value: 44.31
+ - type: map_at_5
+ value: 47.276
+ - type: mrr_at_1
+ value: 32.432
+ - type: mrr_at_10
+ value: 49.5
+ - type: mrr_at_100
+ value: 50.163000000000004
+ - type: mrr_at_1000
+ value: 50.166
+ - type: mrr_at_3
+ value: 44.618
+ - type: mrr_at_5
+ value: 47.541
+ - type: ndcg_at_1
+ value: 31.721
+ - type: ndcg_at_10
+ value: 58.384
+ - type: ndcg_at_100
+ value: 61.111000000000004
+ - type: ndcg_at_1000
+ value: 61.187999999999995
+ - type: ndcg_at_3
+ value: 48.386
+ - type: ndcg_at_5
+ value: 53.708999999999996
+ - type: precision_at_1
+ value: 31.721
+ - type: precision_at_10
+ value: 8.741
+ - type: precision_at_100
+ value: 0.991
+ - type: precision_at_1000
+ value: 0.1
+ - type: precision_at_3
+ value: 20.057
+ - type: precision_at_5
+ value: 14.609
+ - type: recall_at_1
+ value: 31.721
+ - type: recall_at_10
+ value: 87.411
+ - type: recall_at_100
+ value: 99.075
+ - type: recall_at_1000
+ value: 99.644
+ - type: recall_at_3
+ value: 60.171
+ - type: recall_at_5
+ value: 73.044
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/arxiv-clustering-p2p
+ name: MTEB ArxivClusteringP2P
+ config: default
+ split: test
+ revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+ metrics:
+ - type: v_measure
+ value: 46.40419580759799
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/arxiv-clustering-s2s
+ name: MTEB ArxivClusteringS2S
+ config: default
+ split: test
+ revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+ metrics:
+ - type: v_measure
+ value: 40.48593255007969
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/askubuntudupquestions-reranking
+ name: MTEB AskUbuntuDupQuestions
+ config: default
+ split: test
+ revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+ metrics:
+ - type: map
+ value: 63.889179122289995
+ - type: mrr
+ value: 77.61146286769556
+ - task:
+ type: STS
+ dataset:
+ type: mteb/biosses-sts
+ name: MTEB BIOSSES
+ config: default
+ split: test
+ revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+ metrics:
+ - type: cos_sim_pearson
+ value: 88.15075203727929
+ - type: cos_sim_spearman
+ value: 86.9622224570873
+ - type: euclidean_pearson
+ value: 86.70473853624121
+ - type: euclidean_spearman
+ value: 86.9622224570873
+ - type: manhattan_pearson
+ value: 86.21089380980065
+ - type: manhattan_spearman
+ value: 86.75318154937008
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/bucc-bitext-mining
+ name: MTEB BUCC (de-en)
+ config: de-en
+ split: test
+ revision: d51519689f32196a32af33b075a01d0e7c51e252
+ metrics:
+ - type: accuracy
+ value: 99.65553235908142
+ - type: f1
+ value: 99.60681976339595
+ - type: precision
+ value: 99.58246346555325
+ - type: recall
+ value: 99.65553235908142
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/bucc-bitext-mining
+ name: MTEB BUCC (fr-en)
+ config: fr-en
+ split: test
+ revision: d51519689f32196a32af33b075a01d0e7c51e252
+ metrics:
+ - type: accuracy
+ value: 99.26260180497468
+ - type: f1
+ value: 99.14520507740848
+ - type: precision
+ value: 99.08650671362535
+ - type: recall
+ value: 99.26260180497468
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/bucc-bitext-mining
+ name: MTEB BUCC (ru-en)
+ config: ru-en
+ split: test
+ revision: d51519689f32196a32af33b075a01d0e7c51e252
+ metrics:
+ - type: accuracy
+ value: 98.07412538967787
+ - type: f1
+ value: 97.86629719431936
+ - type: precision
+ value: 97.76238309664012
+ - type: recall
+ value: 98.07412538967787
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/bucc-bitext-mining
+ name: MTEB BUCC (zh-en)
+ config: zh-en
+ split: test
+ revision: d51519689f32196a32af33b075a01d0e7c51e252
+ metrics:
+ - type: accuracy
+ value: 99.42074776197998
+ - type: f1
+ value: 99.38564156573635
+ - type: precision
+ value: 99.36808846761454
+ - type: recall
+ value: 99.42074776197998
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/banking77
+ name: MTEB Banking77Classification
+ config: default
+ split: test
+ revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+ metrics:
+ - type: accuracy
+ value: 85.73376623376623
+ - type: f1
+ value: 85.68480707214599
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/biorxiv-clustering-p2p
+ name: MTEB BiorxivClusteringP2P
+ config: default
+ split: test
+ revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+ metrics:
+ - type: v_measure
+ value: 40.935218072113855
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/biorxiv-clustering-s2s
+ name: MTEB BiorxivClusteringS2S
+ config: default
+ split: test
+ revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+ metrics:
+ - type: v_measure
+ value: 36.276389017675264
+ - task:
+ type: Retrieval
+ dataset:
+ type: BeIR/cqadupstack
+ name: MTEB CQADupstackRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 27.764166666666668
+ - type: map_at_10
+ value: 37.298166666666674
+ - type: map_at_100
+ value: 38.530166666666666
+ - type: map_at_1000
+ value: 38.64416666666667
+ - type: map_at_3
+ value: 34.484833333333334
+ - type: map_at_5
+ value: 36.0385
+ - type: mrr_at_1
+ value: 32.93558333333333
+ - type: mrr_at_10
+ value: 41.589749999999995
+ - type: mrr_at_100
+ value: 42.425333333333334
+ - type: mrr_at_1000
+ value: 42.476333333333336
+ - type: mrr_at_3
+ value: 39.26825
+ - type: mrr_at_5
+ value: 40.567083333333336
+ - type: ndcg_at_1
+ value: 32.93558333333333
+ - type: ndcg_at_10
+ value: 42.706583333333334
+ - type: ndcg_at_100
+ value: 47.82483333333333
+ - type: ndcg_at_1000
+ value: 49.95733333333334
+ - type: ndcg_at_3
+ value: 38.064750000000004
+ - type: ndcg_at_5
+ value: 40.18158333333333
+ - type: precision_at_1
+ value: 32.93558333333333
+ - type: precision_at_10
+ value: 7.459833333333334
+ - type: precision_at_100
+ value: 1.1830833333333335
+ - type: precision_at_1000
+ value: 0.15608333333333332
+ - type: precision_at_3
+ value: 17.5235
+ - type: precision_at_5
+ value: 12.349833333333333
+ - type: recall_at_1
+ value: 27.764166666666668
+ - type: recall_at_10
+ value: 54.31775
+ - type: recall_at_100
+ value: 76.74350000000001
+ - type: recall_at_1000
+ value: 91.45208333333332
+ - type: recall_at_3
+ value: 41.23425
+ - type: recall_at_5
+ value: 46.73983333333334
+ - task:
+ type: Retrieval
+ dataset:
+ type: climate-fever
+ name: MTEB ClimateFEVER
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 12.969
+ - type: map_at_10
+ value: 21.584999999999997
+ - type: map_at_100
+ value: 23.3
+ - type: map_at_1000
+ value: 23.5
+ - type: map_at_3
+ value: 18.218999999999998
+ - type: map_at_5
+ value: 19.983
+ - type: mrr_at_1
+ value: 29.316
+ - type: mrr_at_10
+ value: 40.033
+ - type: mrr_at_100
+ value: 40.96
+ - type: mrr_at_1000
+ value: 41.001
+ - type: mrr_at_3
+ value: 37.123
+ - type: mrr_at_5
+ value: 38.757999999999996
+ - type: ndcg_at_1
+ value: 29.316
+ - type: ndcg_at_10
+ value: 29.858
+ - type: ndcg_at_100
+ value: 36.756
+ - type: ndcg_at_1000
+ value: 40.245999999999995
+ - type: ndcg_at_3
+ value: 24.822
+ - type: ndcg_at_5
+ value: 26.565
+ - type: precision_at_1
+ value: 29.316
+ - type: precision_at_10
+ value: 9.186
+ - type: precision_at_100
+ value: 1.6549999999999998
+ - type: precision_at_1000
+ value: 0.22999999999999998
+ - type: precision_at_3
+ value: 18.436
+ - type: precision_at_5
+ value: 13.876
+ - type: recall_at_1
+ value: 12.969
+ - type: recall_at_10
+ value: 35.142
+ - type: recall_at_100
+ value: 59.143
+ - type: recall_at_1000
+ value: 78.594
+ - type: recall_at_3
+ value: 22.604
+ - type: recall_at_5
+ value: 27.883000000000003
+ - task:
+ type: Retrieval
+ dataset:
+ type: dbpedia-entity
+ name: MTEB DBPedia
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 8.527999999999999
+ - type: map_at_10
+ value: 17.974999999999998
+ - type: map_at_100
+ value: 25.665
+ - type: map_at_1000
+ value: 27.406000000000002
+ - type: map_at_3
+ value: 13.017999999999999
+ - type: map_at_5
+ value: 15.137
+ - type: mrr_at_1
+ value: 62.5
+ - type: mrr_at_10
+ value: 71.891
+ - type: mrr_at_100
+ value: 72.294
+ - type: mrr_at_1000
+ value: 72.296
+ - type: mrr_at_3
+ value: 69.958
+ - type: mrr_at_5
+ value: 71.121
+ - type: ndcg_at_1
+ value: 50.875
+ - type: ndcg_at_10
+ value: 38.36
+ - type: ndcg_at_100
+ value: 44.235
+ - type: ndcg_at_1000
+ value: 52.154
+ - type: ndcg_at_3
+ value: 43.008
+ - type: ndcg_at_5
+ value: 40.083999999999996
+ - type: precision_at_1
+ value: 62.5
+ - type: precision_at_10
+ value: 30.0
+ - type: precision_at_100
+ value: 10.038
+ - type: precision_at_1000
+ value: 2.0869999999999997
+ - type: precision_at_3
+ value: 46.833000000000006
+ - type: precision_at_5
+ value: 38.800000000000004
+ - type: recall_at_1
+ value: 8.527999999999999
+ - type: recall_at_10
+ value: 23.828
+ - type: recall_at_100
+ value: 52.322
+ - type: recall_at_1000
+ value: 77.143
+ - type: recall_at_3
+ value: 14.136000000000001
+ - type: recall_at_5
+ value: 17.761
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/emotion
+ name: MTEB EmotionClassification
+ config: default
+ split: test
+ revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+ metrics:
+ - type: accuracy
+ value: 51.51
+ - type: f1
+ value: 47.632159862049896
+ - task:
+ type: Retrieval
+ dataset:
+ type: fever
+ name: MTEB FEVER
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 60.734
+ - type: map_at_10
+ value: 72.442
+ - type: map_at_100
+ value: 72.735
+ - type: map_at_1000
+ value: 72.75
+ - type: map_at_3
+ value: 70.41199999999999
+ - type: map_at_5
+ value: 71.80499999999999
+ - type: mrr_at_1
+ value: 65.212
+ - type: mrr_at_10
+ value: 76.613
+ - type: mrr_at_100
+ value: 76.79899999999999
+ - type: mrr_at_1000
+ value: 76.801
+ - type: mrr_at_3
+ value: 74.8
+ - type: mrr_at_5
+ value: 76.12400000000001
+ - type: ndcg_at_1
+ value: 65.212
+ - type: ndcg_at_10
+ value: 77.988
+ - type: ndcg_at_100
+ value: 79.167
+ - type: ndcg_at_1000
+ value: 79.452
+ - type: ndcg_at_3
+ value: 74.362
+ - type: ndcg_at_5
+ value: 76.666
+ - type: precision_at_1
+ value: 65.212
+ - type: precision_at_10
+ value: 10.003
+ - type: precision_at_100
+ value: 1.077
+ - type: precision_at_1000
+ value: 0.11199999999999999
+ - type: precision_at_3
+ value: 29.518
+ - type: precision_at_5
+ value: 19.016
+ - type: recall_at_1
+ value: 60.734
+ - type: recall_at_10
+ value: 90.824
+ - type: recall_at_100
+ value: 95.71600000000001
+ - type: recall_at_1000
+ value: 97.577
+ - type: recall_at_3
+ value: 81.243
+ - type: recall_at_5
+ value: 86.90299999999999
+ - task:
+ type: Retrieval
+ dataset:
+ type: fiqa
+ name: MTEB FiQA2018
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 23.845
+ - type: map_at_10
+ value: 39.281
+ - type: map_at_100
+ value: 41.422
+ - type: map_at_1000
+ value: 41.593
+ - type: map_at_3
+ value: 34.467
+ - type: map_at_5
+ value: 37.017
+ - type: mrr_at_1
+ value: 47.531
+ - type: mrr_at_10
+ value: 56.204
+ - type: mrr_at_100
+ value: 56.928999999999995
+ - type: mrr_at_1000
+ value: 56.962999999999994
+ - type: mrr_at_3
+ value: 54.115
+ - type: mrr_at_5
+ value: 55.373000000000005
+ - type: ndcg_at_1
+ value: 47.531
+ - type: ndcg_at_10
+ value: 47.711999999999996
+ - type: ndcg_at_100
+ value: 54.510999999999996
+ - type: ndcg_at_1000
+ value: 57.103
+ - type: ndcg_at_3
+ value: 44.145
+ - type: ndcg_at_5
+ value: 45.032
+ - type: precision_at_1
+ value: 47.531
+ - type: precision_at_10
+ value: 13.194
+ - type: precision_at_100
+ value: 2.045
+ - type: precision_at_1000
+ value: 0.249
+ - type: precision_at_3
+ value: 29.424
+ - type: precision_at_5
+ value: 21.451
+ - type: recall_at_1
+ value: 23.845
+ - type: recall_at_10
+ value: 54.967
+ - type: recall_at_100
+ value: 79.11399999999999
+ - type: recall_at_1000
+ value: 94.56700000000001
+ - type: recall_at_3
+ value: 40.256
+ - type: recall_at_5
+ value: 46.215
+ - task:
+ type: Retrieval
+ dataset:
+ type: hotpotqa
+ name: MTEB HotpotQA
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 37.819
+ - type: map_at_10
+ value: 60.889
+ - type: map_at_100
+ value: 61.717999999999996
+ - type: map_at_1000
+ value: 61.778
+ - type: map_at_3
+ value: 57.254000000000005
+ - type: map_at_5
+ value: 59.541
+ - type: mrr_at_1
+ value: 75.638
+ - type: mrr_at_10
+ value: 82.173
+ - type: mrr_at_100
+ value: 82.362
+ - type: mrr_at_1000
+ value: 82.37
+ - type: mrr_at_3
+ value: 81.089
+ - type: mrr_at_5
+ value: 81.827
+ - type: ndcg_at_1
+ value: 75.638
+ - type: ndcg_at_10
+ value: 69.317
+ - type: ndcg_at_100
+ value: 72.221
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+ type: mteb/amazon_massive_scenario
+ name: MTEB MassiveScenarioClassification (zh-CN)
+ config: zh-CN
+ split: test
+ revision: 7d571f92784cd94a019292a1f45445077d0ef634
+ metrics:
+ - type: accuracy
+ value: 78.69535978480162
+ - type: f1
+ value: 78.90019070153316
+ - 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: 75.45729657027572
+ - type: f1
+ value: 76.19578371794672
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/medrxiv-clustering-p2p
+ name: MTEB MedrxivClusteringP2P
+ config: default
+ split: test
+ revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+ metrics:
+ - type: v_measure
+ value: 36.92715354123554
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/medrxiv-clustering-s2s
+ name: MTEB MedrxivClusteringS2S
+ config: default
+ split: test
+ revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+ metrics:
+ - type: v_measure
+ value: 35.53536244162518
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/mind_small
+ name: MTEB MindSmallReranking
+ config: default
+ split: test
+ revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+ metrics:
+ - type: map
+ value: 33.08507884504006
+ - type: mrr
+ value: 34.32436977159129
+ - task:
+ type: Retrieval
+ dataset:
+ type: nfcorpus
+ name: MTEB NFCorpus
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 5.935
+ - type: map_at_10
+ value: 13.297
+ - type: map_at_100
+ value: 16.907
+ - type: map_at_1000
+ value: 18.391
+ - type: map_at_3
+ value: 9.626999999999999
+ - type: map_at_5
+ value: 11.190999999999999
+ - type: mrr_at_1
+ value: 46.129999999999995
+ - type: mrr_at_10
+ value: 54.346000000000004
+ - type: mrr_at_100
+ value: 55.067
+ - type: mrr_at_1000
+ value: 55.1
+ - type: mrr_at_3
+ value: 51.961
+ - type: mrr_at_5
+ value: 53.246
+ - type: ndcg_at_1
+ value: 44.118
+ - type: ndcg_at_10
+ value: 35.534
+ - type: ndcg_at_100
+ value: 32.946999999999996
+ - type: ndcg_at_1000
+ value: 41.599000000000004
+ - type: ndcg_at_3
+ value: 40.25
+ - type: ndcg_at_5
+ value: 37.978
+ - type: precision_at_1
+ value: 46.129999999999995
+ - type: precision_at_10
+ value: 26.842
+ - type: precision_at_100
+ value: 8.427
+ - type: precision_at_1000
+ value: 2.128
+ - type: precision_at_3
+ value: 37.977
+ - type: precision_at_5
+ value: 32.879000000000005
+ - type: recall_at_1
+ value: 5.935
+ - type: recall_at_10
+ value: 17.211000000000002
+ - type: recall_at_100
+ value: 34.33
+ - type: recall_at_1000
+ value: 65.551
+ - type: recall_at_3
+ value: 10.483
+ - type: recall_at_5
+ value: 13.078999999999999
+ - task:
+ type: Retrieval
+ dataset:
+ type: nq
+ name: MTEB NQ
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 35.231
+ - type: map_at_10
+ value: 50.202000000000005
+ - type: map_at_100
+ value: 51.154999999999994
+ - type: map_at_1000
+ value: 51.181
+ - type: map_at_3
+ value: 45.774
+ - type: map_at_5
+ value: 48.522
+ - type: mrr_at_1
+ value: 39.687
+ - type: mrr_at_10
+ value: 52.88
+ - type: mrr_at_100
+ value: 53.569
+ - type: mrr_at_1000
+ value: 53.58500000000001
+ - type: mrr_at_3
+ value: 49.228
+ - type: mrr_at_5
+ value: 51.525
+ - type: ndcg_at_1
+ value: 39.687
+ - type: ndcg_at_10
+ value: 57.754000000000005
+ - type: ndcg_at_100
+ value: 61.597
+ - type: ndcg_at_1000
+ value: 62.18900000000001
+ - type: ndcg_at_3
+ value: 49.55
+ - type: ndcg_at_5
+ value: 54.11899999999999
+ - type: precision_at_1
+ value: 39.687
+ - type: precision_at_10
+ value: 9.313
+ - type: precision_at_100
+ value: 1.146
+ - type: precision_at_1000
+ value: 0.12
+ - type: precision_at_3
+ value: 22.229
+ - type: precision_at_5
+ value: 15.939
+ - type: recall_at_1
+ value: 35.231
+ - type: recall_at_10
+ value: 78.083
+ - type: recall_at_100
+ value: 94.42099999999999
+ - type: recall_at_1000
+ value: 98.81
+ - type: recall_at_3
+ value: 57.047000000000004
+ - type: recall_at_5
+ value: 67.637
+ - task:
+ type: Retrieval
+ dataset:
+ type: quora
+ name: MTEB QuoraRetrieval
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 71.241
+ - type: map_at_10
+ value: 85.462
+ - type: map_at_100
+ value: 86.083
+ - type: map_at_1000
+ value: 86.09700000000001
+ - type: map_at_3
+ value: 82.49499999999999
+ - type: map_at_5
+ value: 84.392
+ - type: mrr_at_1
+ value: 82.09
+ - type: mrr_at_10
+ value: 88.301
+ - type: mrr_at_100
+ value: 88.383
+ - type: mrr_at_1000
+ value: 88.384
+ - type: mrr_at_3
+ value: 87.37
+ - type: mrr_at_5
+ value: 88.035
+ - type: ndcg_at_1
+ value: 82.12
+ - type: ndcg_at_10
+ value: 89.149
+ - type: ndcg_at_100
+ value: 90.235
+ - type: ndcg_at_1000
+ value: 90.307
+ - type: ndcg_at_3
+ value: 86.37599999999999
+ - type: ndcg_at_5
+ value: 87.964
+ - type: precision_at_1
+ value: 82.12
+ - type: precision_at_10
+ value: 13.56
+ - type: precision_at_100
+ value: 1.539
+ - type: precision_at_1000
+ value: 0.157
+ - type: precision_at_3
+ value: 37.88
+ - type: precision_at_5
+ value: 24.92
+ - type: recall_at_1
+ value: 71.241
+ - type: recall_at_10
+ value: 96.128
+ - type: recall_at_100
+ value: 99.696
+ - type: recall_at_1000
+ value: 99.994
+ - type: recall_at_3
+ value: 88.181
+ - type: recall_at_5
+ value: 92.694
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/reddit-clustering
+ name: MTEB RedditClustering
+ config: default
+ split: test
+ revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+ metrics:
+ - type: v_measure
+ value: 56.59757799655151
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/reddit-clustering-p2p
+ name: MTEB RedditClusteringP2P
+ config: default
+ split: test
+ revision: 282350215ef01743dc01b456c7f5241fa8937f16
+ metrics:
+ - type: v_measure
+ value: 64.27391998854624
+ - task:
+ type: Retrieval
+ dataset:
+ type: scidocs
+ name: MTEB SCIDOCS
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 4.243
+ - type: map_at_10
+ value: 10.965
+ - type: map_at_100
+ value: 12.934999999999999
+ - type: map_at_1000
+ value: 13.256
+ - type: map_at_3
+ value: 7.907
+ - type: map_at_5
+ value: 9.435
+ - type: mrr_at_1
+ value: 20.9
+ - type: mrr_at_10
+ value: 31.849
+ - type: mrr_at_100
+ value: 32.964
+ - type: mrr_at_1000
+ value: 33.024
+ - type: mrr_at_3
+ value: 28.517
+ - type: mrr_at_5
+ value: 30.381999999999998
+ - type: ndcg_at_1
+ value: 20.9
+ - type: ndcg_at_10
+ value: 18.723
+ - type: ndcg_at_100
+ value: 26.384999999999998
+ - type: ndcg_at_1000
+ value: 32.114
+ - type: ndcg_at_3
+ value: 17.753
+ - type: ndcg_at_5
+ value: 15.558
+ - type: precision_at_1
+ value: 20.9
+ - type: precision_at_10
+ value: 9.8
+ - type: precision_at_100
+ value: 2.078
+ - type: precision_at_1000
+ value: 0.345
+ - type: precision_at_3
+ value: 16.900000000000002
+ - type: precision_at_5
+ value: 13.88
+ - type: recall_at_1
+ value: 4.243
+ - type: recall_at_10
+ value: 19.885
+ - type: recall_at_100
+ value: 42.17
+ - type: recall_at_1000
+ value: 70.12
+ - type: recall_at_3
+ value: 10.288
+ - type: recall_at_5
+ value: 14.072000000000001
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sickr-sts
+ name: MTEB SICK-R
+ config: default
+ split: test
+ revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+ metrics:
+ - type: cos_sim_pearson
+ value: 85.84209174935282
+ - type: cos_sim_spearman
+ value: 81.73248048438833
+ - type: euclidean_pearson
+ value: 83.02810070308149
+ - type: euclidean_spearman
+ value: 81.73248295679514
+ - type: manhattan_pearson
+ value: 82.95368060376002
+ - type: manhattan_spearman
+ value: 81.60277910998718
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts12-sts
+ name: MTEB STS12
+ config: default
+ split: test
+ revision: a0d554a64d88156834ff5ae9920b964011b16384
+ metrics:
+ - type: cos_sim_pearson
+ value: 88.52628804556943
+ - type: cos_sim_spearman
+ value: 82.5713913555672
+ - type: euclidean_pearson
+ value: 85.8796774746988
+ - type: euclidean_spearman
+ value: 82.57137506803424
+ - type: manhattan_pearson
+ value: 85.79671002960058
+ - type: manhattan_spearman
+ value: 82.49445981618027
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts13-sts
+ name: MTEB STS13
+ config: default
+ split: test
+ revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+ metrics:
+ - type: cos_sim_pearson
+ value: 86.23682503505542
+ - type: cos_sim_spearman
+ value: 87.15008956711806
+ - type: euclidean_pearson
+ value: 86.79805401524959
+ - type: euclidean_spearman
+ value: 87.15008956711806
+ - type: manhattan_pearson
+ value: 86.65298502699244
+ - type: manhattan_spearman
+ value: 86.97677821948562
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts14-sts
+ name: MTEB STS14
+ config: default
+ split: test
+ revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+ metrics:
+ - type: cos_sim_pearson
+ value: 85.63370304677802
+ - type: cos_sim_spearman
+ value: 84.97105553540318
+ - type: euclidean_pearson
+ value: 85.28896108687721
+ - type: euclidean_spearman
+ value: 84.97105553540318
+ - type: manhattan_pearson
+ value: 85.09663190337331
+ - type: manhattan_spearman
+ value: 84.79126831644619
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts15-sts
+ name: MTEB STS15
+ config: default
+ split: test
+ revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+ metrics:
+ - type: cos_sim_pearson
+ value: 90.2614838800733
+ - type: cos_sim_spearman
+ value: 91.0509162991835
+ - type: euclidean_pearson
+ value: 90.33098317533373
+ - type: euclidean_spearman
+ value: 91.05091625871644
+ - type: manhattan_pearson
+ value: 90.26250435151107
+ - type: manhattan_spearman
+ value: 90.97999594417519
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts16-sts
+ name: MTEB STS16
+ config: default
+ split: test
+ revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+ metrics:
+ - type: cos_sim_pearson
+ value: 85.80480973335091
+ - type: cos_sim_spearman
+ value: 87.313695492969
+ - type: euclidean_pearson
+ value: 86.49267251576939
+ - type: euclidean_spearman
+ value: 87.313695492969
+ - type: manhattan_pearson
+ value: 86.44019901831935
+ - type: manhattan_spearman
+ value: 87.24205395460392
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts17-crosslingual-sts
+ name: MTEB STS17 (en-en)
+ config: en-en
+ split: test
+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+ metrics:
+ - type: cos_sim_pearson
+ value: 90.05662789380672
+ - type: cos_sim_spearman
+ value: 90.02759424426651
+ - type: euclidean_pearson
+ value: 90.4042483422981
+ - type: euclidean_spearman
+ value: 90.02759424426651
+ - type: manhattan_pearson
+ value: 90.51446975000226
+ - type: manhattan_spearman
+ value: 90.08832889933616
+ - task:
+ type: STS
+ dataset:
+ type: mteb/sts22-crosslingual-sts
+ name: MTEB STS22 (en)
+ config: en
+ split: test
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+ metrics:
+ - type: cos_sim_pearson
+ value: 67.5975528273532
+ - type: cos_sim_spearman
+ value: 67.62969861411354
+ - type: euclidean_pearson
+ value: 69.224275734323
+ - type: euclidean_spearman
+ value: 67.62969861411354
+ - type: manhattan_pearson
+ value: 69.3761447059927
+ - type: manhattan_spearman
+ value: 67.90921005611467
+ - task:
+ type: STS
+ dataset:
+ type: mteb/stsbenchmark-sts
+ name: MTEB STSBenchmark
+ config: default
+ split: test
+ revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+ metrics:
+ - type: cos_sim_pearson
+ value: 87.11244327231684
+ - type: cos_sim_spearman
+ value: 88.37902438979035
+ - type: euclidean_pearson
+ value: 87.86054279847336
+ - type: euclidean_spearman
+ value: 88.37902438979035
+ - type: manhattan_pearson
+ value: 87.77257757320378
+ - type: manhattan_spearman
+ value: 88.25208966098123
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/scidocs-reranking
+ name: MTEB SciDocsRR
+ config: default
+ split: test
+ revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+ metrics:
+ - type: map
+ value: 85.87174608143563
+ - type: mrr
+ value: 96.12836872640794
+ - task:
+ type: Retrieval
+ dataset:
+ type: scifact
+ name: MTEB SciFact
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 57.760999999999996
+ - type: map_at_10
+ value: 67.258
+ - type: map_at_100
+ value: 67.757
+ - type: map_at_1000
+ value: 67.78800000000001
+ - type: map_at_3
+ value: 64.602
+ - type: map_at_5
+ value: 65.64
+ - type: mrr_at_1
+ value: 60.667
+ - type: mrr_at_10
+ value: 68.441
+ - type: mrr_at_100
+ value: 68.825
+ - type: mrr_at_1000
+ value: 68.853
+ - type: mrr_at_3
+ value: 66.444
+ - type: mrr_at_5
+ value: 67.26100000000001
+ - type: ndcg_at_1
+ value: 60.667
+ - type: ndcg_at_10
+ value: 71.852
+ - type: ndcg_at_100
+ value: 73.9
+ - type: ndcg_at_1000
+ value: 74.628
+ - type: ndcg_at_3
+ value: 67.093
+ - type: ndcg_at_5
+ value: 68.58
+ - type: precision_at_1
+ value: 60.667
+ - type: precision_at_10
+ value: 9.6
+ - type: precision_at_100
+ value: 1.0670000000000002
+ - type: precision_at_1000
+ value: 0.11199999999999999
+ - type: precision_at_3
+ value: 26.111
+ - type: precision_at_5
+ value: 16.733
+ - type: recall_at_1
+ value: 57.760999999999996
+ - type: recall_at_10
+ value: 84.967
+ - type: recall_at_100
+ value: 93.833
+ - type: recall_at_1000
+ value: 99.333
+ - type: recall_at_3
+ value: 71.589
+ - type: recall_at_5
+ value: 75.483
+ - task:
+ type: PairClassification
+ dataset:
+ type: mteb/sprintduplicatequestions-pairclassification
+ name: MTEB SprintDuplicateQuestions
+ config: default
+ split: test
+ revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+ metrics:
+ - type: cos_sim_accuracy
+ value: 99.66633663366336
+ - type: cos_sim_ap
+ value: 91.17685358899108
+ - type: cos_sim_f1
+ value: 82.16818642350559
+ - type: cos_sim_precision
+ value: 83.26488706365504
+ - type: cos_sim_recall
+ value: 81.10000000000001
+ - type: dot_accuracy
+ value: 99.66633663366336
+ - type: dot_ap
+ value: 91.17663411119032
+ - type: dot_f1
+ value: 82.16818642350559
+ - type: dot_precision
+ value: 83.26488706365504
+ - type: dot_recall
+ value: 81.10000000000001
+ - type: euclidean_accuracy
+ value: 99.66633663366336
+ - type: euclidean_ap
+ value: 91.17685189882275
+ - type: euclidean_f1
+ value: 82.16818642350559
+ - type: euclidean_precision
+ value: 83.26488706365504
+ - type: euclidean_recall
+ value: 81.10000000000001
+ - type: manhattan_accuracy
+ value: 99.66633663366336
+ - type: manhattan_ap
+ value: 91.2241619496737
+ - type: manhattan_f1
+ value: 82.20472440944883
+ - type: manhattan_precision
+ value: 86.51933701657458
+ - type: manhattan_recall
+ value: 78.3
+ - type: max_accuracy
+ value: 99.66633663366336
+ - type: max_ap
+ value: 91.2241619496737
+ - type: max_f1
+ value: 82.20472440944883
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/stackexchange-clustering
+ name: MTEB StackExchangeClustering
+ config: default
+ split: test
+ revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+ metrics:
+ - type: v_measure
+ value: 66.85101268897951
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/stackexchange-clustering-p2p
+ name: MTEB StackExchangeClusteringP2P
+ config: default
+ split: test
+ revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+ metrics:
+ - type: v_measure
+ value: 42.461184054706905
+ - task:
+ type: Reranking
+ dataset:
+ type: mteb/stackoverflowdupquestions-reranking
+ name: MTEB StackOverflowDupQuestions
+ config: default
+ split: test
+ revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+ metrics:
+ - type: map
+ value: 51.44542568873886
+ - type: mrr
+ value: 52.33656151854681
+ - task:
+ type: Summarization
+ dataset:
+ type: mteb/summeval
+ name: MTEB SummEval
+ config: default
+ split: test
+ revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+ metrics:
+ - type: cos_sim_pearson
+ value: 30.75982974997539
+ - type: cos_sim_spearman
+ value: 30.385405026539914
+ - type: dot_pearson
+ value: 30.75982433546523
+ - type: dot_spearman
+ value: 30.385405026539914
+ - task:
+ type: Retrieval
+ dataset:
+ type: trec-covid
+ name: MTEB TRECCOVID
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 0.22799999999999998
+ - type: map_at_10
+ value: 2.064
+ - type: map_at_100
+ value: 13.056000000000001
+ - type: map_at_1000
+ value: 31.747999999999998
+ - type: map_at_3
+ value: 0.67
+ - type: map_at_5
+ value: 1.097
+ - type: mrr_at_1
+ value: 90.0
+ - type: mrr_at_10
+ value: 94.667
+ - type: mrr_at_100
+ value: 94.667
+ - type: mrr_at_1000
+ value: 94.667
+ - type: mrr_at_3
+ value: 94.667
+ - type: mrr_at_5
+ value: 94.667
+ - type: ndcg_at_1
+ value: 86.0
+ - type: ndcg_at_10
+ value: 82.0
+ - type: ndcg_at_100
+ value: 64.307
+ - type: ndcg_at_1000
+ value: 57.023999999999994
+ - type: ndcg_at_3
+ value: 85.816
+ - type: ndcg_at_5
+ value: 84.904
+ - type: precision_at_1
+ value: 90.0
+ - type: precision_at_10
+ value: 85.8
+ - type: precision_at_100
+ value: 66.46
+ - type: precision_at_1000
+ value: 25.202
+ - type: precision_at_3
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+ - type: f1
+ value: 80.91452991452994
+ - type: precision
+ value: 79.33760683760683
+ - type: recall
+ value: 84.61538461538461
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+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (hin-eng)
+ config: hin-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: f1
+ value: 97.6
+ - type: precision
+ value: 97.3
+ - type: recall
+ value: 98.2
+ - task:
+ type: BitextMining
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+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (dsb-eng)
+ config: dsb-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: f1
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+ - type: precision
+ value: 70.53467872883321
+ - type: recall
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+ type: BitextMining
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+ name: MTEB Tatoeba (ber-eng)
+ config: ber-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: f1
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+ - type: precision
+ value: 52.98583333333333
+ - type: recall
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+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (tam-eng)
+ config: tam-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
+ metrics:
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+ value: 92.18241042345277
+ - type: f1
+ value: 90.6468124709167
+ - type: precision
+ value: 89.95656894679696
+ - type: recall
+ value: 92.18241042345277
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (slk-eng)
+ config: slk-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
+ metrics:
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+ - type: f1
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+ - type: precision
+ value: 94.66666666666667
+ - type: recall
+ value: 96.1
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (tgl-eng)
+ config: tgl-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
+ metrics:
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+ value: 96.8
+ - type: f1
+ value: 95.85000000000001
+ - type: precision
+ value: 95.39999999999999
+ - type: recall
+ value: 96.8
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (ast-eng)
+ config: ast-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
+ metrics:
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+ value: 92.1259842519685
+ - type: f1
+ value: 89.76377952755905
+ - type: precision
+ value: 88.71391076115485
+ - type: recall
+ value: 92.1259842519685
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (mkd-eng)
+ config: mkd-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
+ metrics:
+ - type: accuracy
+ value: 94.1
+ - type: f1
+ value: 92.49
+ - type: precision
+ value: 91.725
+ - type: recall
+ value: 94.1
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (khm-eng)
+ config: khm-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: precision
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+ - type: recall
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+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (ces-eng)
+ config: ces-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: precision
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+ - type: recall
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+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (tzl-eng)
+ config: tzl-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: precision
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+ - type: recall
+ value: 66.34615384615384
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+ type: BitextMining
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+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (urd-eng)
+ config: urd-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ value: 94.89999999999999
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+ - type: recall
+ value: 94.89999999999999
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+ type: BitextMining
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+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (ara-eng)
+ config: ara-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: precision
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+ - type: recall
+ value: 93.10000000000001
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+ name: MTEB Tatoeba (kor-eng)
+ config: kor-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: f1
+ value: 91.97333333333334
+ - type: precision
+ value: 91.14166666666667
+ - type: recall
+ value: 93.7
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (yid-eng)
+ config: yid-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
+ metrics:
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+ - type: precision
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+ - type: recall
+ value: 92.21698113207547
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (fin-eng)
+ config: fin-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - type: accuracy
+ value: 97.6
+ - type: f1
+ value: 96.91666666666667
+ - type: precision
+ value: 96.6
+ - type: recall
+ value: 97.6
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (tha-eng)
+ config: tha-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
+ metrics:
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+ value: 97.44525547445255
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+ value: 96.71532846715328
+ - type: precision
+ value: 96.35036496350365
+ - type: recall
+ value: 97.44525547445255
+ - task:
+ type: BitextMining
+ dataset:
+ type: mteb/tatoeba-bitext-mining
+ name: MTEB Tatoeba (wuu-eng)
+ config: wuu-eng
+ split: test
+ revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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+ - task:
+ type: Retrieval
+ dataset:
+ type: webis-touche2020
+ name: MTEB Touche2020
+ config: default
+ split: test
+ revision: None
+ metrics:
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+ value: 3.2910000000000004
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+ - type: ndcg_at_1000
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+ value: 1.48
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+ value: 32.653
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+ value: 27.755000000000003
+ - type: recall_at_1
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+ value: 16.16
+ - type: recall_at_100
+ value: 43.908
+ - type: recall_at_1000
+ value: 79.823
+ - type: recall_at_3
+ value: 7.156
+ - type: recall_at_5
+ value: 10.204
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/toxic_conversations_50k
+ name: MTEB ToxicConversationsClassification
+ config: default
+ split: test
+ revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+ metrics:
+ - type: accuracy
+ value: 71.05879999999999
+ - type: ap
+ value: 14.609748142799111
+ - type: f1
+ value: 54.878956295843096
+ - task:
+ type: Classification
+ dataset:
+ type: mteb/tweet_sentiment_extraction
+ name: MTEB TweetSentimentExtractionClassification
+ config: default
+ split: test
+ revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+ metrics:
+ - type: accuracy
+ value: 64.61799660441426
+ - type: f1
+ value: 64.8698191961434
+ - task:
+ type: Clustering
+ dataset:
+ type: mteb/twentynewsgroups-clustering
+ name: MTEB TwentyNewsgroupsClustering
+ config: default
+ split: test
+ revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+ metrics:
+ - type: v_measure
+ value: 51.32860036611885
+ - task:
+ type: PairClassification
+ dataset:
+ type: mteb/twittersemeval2015-pairclassification
+ name: MTEB TwitterSemEval2015
+ config: default
+ split: test
+ revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+ metrics:
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+ value: 88.34714192048638
+ - type: cos_sim_ap
+ value: 80.26732975975634
+ - type: cos_sim_f1
+ value: 73.53415148134374
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+ - type: cos_sim_recall
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+ - type: dot_accuracy
+ value: 88.34714192048638
+ - type: dot_ap
+ value: 80.26733698491206
+ - type: dot_f1
+ value: 73.53415148134374
+ - type: dot_precision
+ value: 69.34767360299276
+ - type: dot_recall
+ value: 78.25857519788919
+ - type: euclidean_accuracy
+ value: 88.34714192048638
+ - type: euclidean_ap
+ value: 80.26734337771738
+ - type: euclidean_f1
+ value: 73.53415148134374
+ - type: euclidean_precision
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+ - type: euclidean_recall
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+ - type: manhattan_accuracy
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+ - type: manhattan_ap
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+ - type: manhattan_f1
+ value: 73.55143870713441
+ - type: manhattan_precision
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+ - type: manhattan_recall
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+ - type: max_accuracy
+ value: 88.34714192048638
+ - type: max_ap
+ value: 80.26734337771738
+ - type: max_f1
+ value: 73.55143870713441
+ - task:
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+ dataset:
+ type: mteb/twitterurlcorpus-pairclassification
+ name: MTEB TwitterURLCorpus
+ config: default
+ split: test
+ revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+ metrics:
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+ value: 89.81061047075717
+ - type: cos_sim_ap
+ value: 87.11747055081017
+ - type: cos_sim_f1
+ value: 80.04355498817256
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+ - type: dot_f1
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+ - type: dot_precision
+ value: 78.1165262000733
+ - type: dot_recall
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+ value: 80.04355498817256
+ - type: euclidean_precision
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+ - type: max_ap
+ value: 87.11747055081017
+ - type: max_f1
+ value: 80.13002540726349
+---
\ No newline at end of file
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