huoxu
/

bge-large-en-v1.5-Q8_0-GGUF

+---
+base_model: BAAI/bge-large-en-v1.5
+language:
+- en
+license: mit
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+- mteb
+- llama-cpp
+- gguf-my-repo
+model-index:
+- name: bge-large-en-v1.5
+ results:
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB AmazonCounterfactualClassification (en)
+ type: mteb/amazon_counterfactual
+ config: en
+ split: test
+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+ metrics:
+ - type: accuracy
+ value: 75.8507462686567
+ - type: ap
+ value: 38.566457320228245
+ - type: f1
+ value: 69.69386648043475
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB AmazonPolarityClassification
+ type: mteb/amazon_polarity
+ config: default
+ split: test
+ revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+ metrics:
+ - type: accuracy
+ value: 92.416675
+ - type: ap
+ value: 89.1928861155922
+ - type: f1
+ value: 92.39477019574215
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB AmazonReviewsClassification (en)
+ type: mteb/amazon_reviews_multi
+ config: en
+ split: test
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+ metrics:
+ - type: accuracy
+ value: 48.175999999999995
+ - type: f1
+ value: 47.80712792870253
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB ArguAna
+ type: arguana
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 40.184999999999995
+ - type: map_at_10
+ value: 55.654
+ - type: map_at_100
+ value: 56.25
+ - type: map_at_1000
+ value: 56.255
+ - type: map_at_3
+ value: 51.742999999999995
+ - type: map_at_5
+ value: 54.129000000000005
+ - type: mrr_at_1
+ value: 40.967
+ - type: mrr_at_10
+ value: 55.96
+ - type: mrr_at_100
+ value: 56.54900000000001
+ - type: mrr_at_1000
+ value: 56.554
+ - type: mrr_at_3
+ value: 51.980000000000004
+ - type: mrr_at_5
+ value: 54.44
+ - type: ndcg_at_1
+ value: 40.184999999999995
+ - type: ndcg_at_10
+ value: 63.542
+ - type: ndcg_at_100
+ value: 65.96499999999999
+ - type: ndcg_at_1000
+ value: 66.08699999999999
+ - type: ndcg_at_3
+ value: 55.582
+ - type: ndcg_at_5
+ value: 59.855000000000004
+ - type: precision_at_1
+ value: 40.184999999999995
+ - type: precision_at_10
+ value: 8.841000000000001
+ - type: precision_at_100
+ value: 0.987
+ - type: precision_at_1000
+ value: 0.1
+ - type: precision_at_3
+ value: 22.238
+ - type: precision_at_5
+ value: 15.405
+ - type: recall_at_1
+ value: 40.184999999999995
+ - type: recall_at_10
+ value: 88.407
+ - type: recall_at_100
+ value: 98.72
+ - type: recall_at_1000
+ value: 99.644
+ - type: recall_at_3
+ value: 66.714
+ - type: recall_at_5
+ value: 77.027
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB ArxivClusteringP2P
+ type: mteb/arxiv-clustering-p2p
+ config: default
+ split: test
+ revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+ metrics:
+ - type: v_measure
+ value: 48.567077926750066
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB ArxivClusteringS2S
+ type: mteb/arxiv-clustering-s2s
+ config: default
+ split: test
+ revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+ metrics:
+ - type: v_measure
+ value: 43.19453389182364
+ - task:
+ type: Reranking
+ dataset:
+ name: MTEB AskUbuntuDupQuestions
+ type: mteb/askubuntudupquestions-reranking
+ config: default
+ split: test
+ revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+ metrics:
+ - type: map
+ value: 64.46555939623092
+ - type: mrr
+ value: 77.82361605768807
+ - task:
+ type: STS
+ dataset:
+ name: MTEB BIOSSES
+ type: mteb/biosses-sts
+ config: default
+ split: test
+ revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+ metrics:
+ - type: cos_sim_pearson
+ value: 84.9554128814735
+ - type: cos_sim_spearman
+ value: 84.65373612172036
+ - type: euclidean_pearson
+ value: 83.2905059954138
+ - type: euclidean_spearman
+ value: 84.52240782811128
+ - type: manhattan_pearson
+ value: 82.99533802997436
+ - type: manhattan_spearman
+ value: 84.20673798475734
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB Banking77Classification
+ type: mteb/banking77
+ config: default
+ split: test
+ revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+ metrics:
+ - type: accuracy
+ value: 87.78896103896103
+ - type: f1
+ value: 87.77189310964883
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB BiorxivClusteringP2P
+ type: mteb/biorxiv-clustering-p2p
+ config: default
+ split: test
+ revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+ metrics:
+ - type: v_measure
+ value: 39.714538337650495
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB BiorxivClusteringS2S
+ type: mteb/biorxiv-clustering-s2s
+ config: default
+ split: test
+ revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+ metrics:
+ - type: v_measure
+ value: 36.90108349284447
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB CQADupstackAndroidRetrieval
+ type: BeIR/cqadupstack
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 32.795
+ - type: map_at_10
+ value: 43.669000000000004
+ - type: map_at_100
+ value: 45.151
+ - type: map_at_1000
+ value: 45.278
+ - type: map_at_3
+ value: 40.006
+ - type: map_at_5
+ value: 42.059999999999995
+ - type: mrr_at_1
+ value: 39.771
+ - type: mrr_at_10
+ value: 49.826
+ - type: mrr_at_100
+ value: 50.504000000000005
+ - type: mrr_at_1000
+ value: 50.549
+ - type: mrr_at_3
+ value: 47.115
+ - type: mrr_at_5
+ value: 48.832
+ - type: ndcg_at_1
+ value: 39.771
+ - type: ndcg_at_10
+ value: 50.217999999999996
+ - type: ndcg_at_100
+ value: 55.454
+ - type: ndcg_at_1000
+ value: 57.37
+ - type: ndcg_at_3
+ value: 44.885000000000005
+ - type: ndcg_at_5
+ value: 47.419
+ - type: precision_at_1
+ value: 39.771
+ - type: precision_at_10
+ value: 9.642000000000001
+ - type: precision_at_100
+ value: 1.538
+ - type: precision_at_1000
+ value: 0.198
+ - type: precision_at_3
+ value: 21.268
+ - type: precision_at_5
+ value: 15.536
+ - type: recall_at_1
+ value: 32.795
+ - type: recall_at_10
+ value: 62.580999999999996
+ - type: recall_at_100
+ value: 84.438
+ - type: recall_at_1000
+ value: 96.492
+ - type: recall_at_3
+ value: 47.071000000000005
+ - type: recall_at_5
+ value: 54.079
+ - type: map_at_1
+ value: 32.671
+ - type: map_at_10
+ value: 43.334
+ - type: map_at_100
+ value: 44.566
+ - type: map_at_1000
+ value: 44.702999999999996
+ - type: map_at_3
+ value: 40.343
+ - type: map_at_5
+ value: 41.983
+ - type: mrr_at_1
+ value: 40.764
+ - type: mrr_at_10
+ value: 49.382
+ - type: mrr_at_100
+ value: 49.988
+ - type: mrr_at_1000
+ value: 50.03300000000001
+ - type: mrr_at_3
+ value: 47.293
+ - type: mrr_at_5
+ value: 48.51
+ - type: ndcg_at_1
+ value: 40.764
+ - type: ndcg_at_10
+ value: 49.039
+ - type: ndcg_at_100
+ value: 53.259
+ - type: ndcg_at_1000
+ value: 55.253
+ - type: ndcg_at_3
+ value: 45.091
+ - type: ndcg_at_5
+ value: 46.839999999999996
+ - type: precision_at_1
+ value: 40.764
+ - type: precision_at_10
+ value: 9.191
+ - type: precision_at_100
+ value: 1.476
+ - type: precision_at_1000
+ value: 0.19499999999999998
+ - type: precision_at_3
+ value: 21.72
+ - type: precision_at_5
+ value: 15.299
+ - type: recall_at_1
+ value: 32.671
+ - type: recall_at_10
+ value: 58.816
+ - type: recall_at_100
+ value: 76.654
+ - type: recall_at_1000
+ value: 89.05999999999999
+ - type: recall_at_3
+ value: 46.743
+ - type: recall_at_5
+ value: 51.783
+ - type: map_at_1
+ value: 40.328
+ - type: map_at_10
+ value: 53.32599999999999
+ - type: map_at_100
+ value: 54.37499999999999
+ - type: map_at_1000
+ value: 54.429
+ - type: map_at_3
+ value: 49.902
+ - type: map_at_5
+ value: 52.002
+ - type: mrr_at_1
+ value: 46.332
+ - type: mrr_at_10
+ value: 56.858
+ - type: mrr_at_100
+ value: 57.522
+ - type: mrr_at_1000
+ value: 57.54899999999999
+ - type: mrr_at_3
+ value: 54.472
+ - type: mrr_at_5
+ value: 55.996
+ - type: ndcg_at_1
+ value: 46.332
+ - type: ndcg_at_10
+ value: 59.313
+ - type: ndcg_at_100
+ value: 63.266999999999996
+ - type: ndcg_at_1000
+ value: 64.36
+ - type: ndcg_at_3
+ value: 53.815000000000005
+ - type: ndcg_at_5
+ value: 56.814
+ - type: precision_at_1
+ value: 46.332
+ - type: precision_at_10
+ value: 9.53
+ - type: precision_at_100
+ value: 1.238
+ - type: precision_at_1000
+ value: 0.13699999999999998
+ - type: precision_at_3
+ value: 24.054000000000002
+ - type: precision_at_5
+ value: 16.589000000000002
+ - type: recall_at_1
+ value: 40.328
+ - type: recall_at_10
+ value: 73.421
+ - type: recall_at_100
+ value: 90.059
+ - type: recall_at_1000
+ value: 97.81
+ - type: recall_at_3
+ value: 59.009
+ - type: recall_at_5
+ value: 66.352
+ - type: map_at_1
+ value: 27.424
+ - type: map_at_10
+ value: 36.332
+ - type: map_at_100
+ value: 37.347
+ - type: map_at_1000
+ value: 37.422
+ - type: map_at_3
+ value: 33.743
+ - type: map_at_5
+ value: 35.176
+ - type: mrr_at_1
+ value: 29.153000000000002
+ - type: mrr_at_10
+ value: 38.233
+ - type: mrr_at_100
+ value: 39.109
+ - type: mrr_at_1000
+ value: 39.164
+ - type: mrr_at_3
+ value: 35.876000000000005
+ - type: mrr_at_5
+ value: 37.169000000000004
+ - type: ndcg_at_1
+ value: 29.153000000000002
+ - type: ndcg_at_10
+ value: 41.439
+ - type: ndcg_at_100
+ value: 46.42
+ - type: ndcg_at_1000
+ value: 48.242000000000004
+ - type: ndcg_at_3
+ value: 36.362
+ - type: ndcg_at_5
+ value: 38.743
+ - type: precision_at_1
+ value: 29.153000000000002
+ - type: precision_at_10
+ value: 6.315999999999999
+ - type: precision_at_100
+ value: 0.927
+ - type: precision_at_1000
+ value: 0.11199999999999999
+ - type: precision_at_3
+ value: 15.443000000000001
+ - type: precision_at_5
+ value: 10.644
+ - type: recall_at_1
+ value: 27.424
+ - type: recall_at_10
+ value: 55.364000000000004
+ - type: recall_at_100
+ value: 78.211
+ - type: recall_at_1000
+ value: 91.74600000000001
+ - type: recall_at_3
+ value: 41.379
+ - type: recall_at_5
+ value: 47.14
+ - type: map_at_1
+ value: 19.601
+ - type: map_at_10
+ value: 27.826
+ - type: map_at_100
+ value: 29.017
+ - type: map_at_1000
+ value: 29.137
+ - type: map_at_3
+ value: 25.125999999999998
+ - type: map_at_5
+ value: 26.765
+ - type: mrr_at_1
+ value: 24.005000000000003
+ - type: mrr_at_10
+ value: 32.716
+ - type: mrr_at_100
+ value: 33.631
+ - type: mrr_at_1000
+ value: 33.694
+ - type: mrr_at_3
+ value: 29.934
+ - type: mrr_at_5
+ value: 31.630999999999997
+ - type: ndcg_at_1
+ value: 24.005000000000003
+ - type: ndcg_at_10
+ value: 33.158
+ - type: ndcg_at_100
+ value: 38.739000000000004
+ - type: ndcg_at_1000
+ value: 41.495
+ - type: ndcg_at_3
+ value: 28.185
+ - type: ndcg_at_5
+ value: 30.796
+ - type: precision_at_1
+ value: 24.005000000000003
+ - type: precision_at_10
+ value: 5.908
+ - type: precision_at_100
+ value: 1.005
+ - type: precision_at_1000
+ value: 0.13899999999999998
+ - type: precision_at_3
+ value: 13.391
+ - type: precision_at_5
+ value: 9.876
+ - type: recall_at_1
+ value: 19.601
+ - type: recall_at_10
+ value: 44.746
+ - type: recall_at_100
+ value: 68.82300000000001
+ - type: recall_at_1000
+ value: 88.215
+ - type: recall_at_3
+ value: 31.239
+ - type: recall_at_5
+ value: 37.695
+ - type: map_at_1
+ value: 30.130000000000003
+ - type: map_at_10
+ value: 40.96
+ - type: map_at_100
+ value: 42.282
+ - type: map_at_1000
+ value: 42.392
+ - type: map_at_3
+ value: 37.889
+ - type: map_at_5
+ value: 39.661
+ - type: mrr_at_1
+ value: 36.958999999999996
+ - type: mrr_at_10
+ value: 46.835
+ - type: mrr_at_100
+ value: 47.644
+ - type: mrr_at_1000
+ value: 47.688
+ - type: mrr_at_3
+ value: 44.562000000000005
+ - type: mrr_at_5
+ value: 45.938
+ - type: ndcg_at_1
+ value: 36.958999999999996
+ - type: ndcg_at_10
+ value: 47.06
+ - type: ndcg_at_100
+ value: 52.345
+ - type: ndcg_at_1000
+ value: 54.35
+ - type: ndcg_at_3
+ value: 42.301
+ - type: ndcg_at_5
+ value: 44.635999999999996
+ - type: precision_at_1
+ value: 36.958999999999996
+ - type: precision_at_10
+ value: 8.479000000000001
+ - type: precision_at_100
+ value: 1.284
+ - type: precision_at_1000
+ value: 0.163
+ - type: precision_at_3
+ value: 20.244
+ - type: precision_at_5
+ value: 14.224999999999998
+ - type: recall_at_1
+ value: 30.130000000000003
+ - type: recall_at_10
+ value: 59.27
+ - type: recall_at_100
+ value: 81.195
+ - type: recall_at_1000
+ value: 94.21199999999999
+ - type: recall_at_3
+ value: 45.885
+ - type: recall_at_5
+ value: 52.016
+ - type: map_at_1
+ value: 26.169999999999998
+ - type: map_at_10
+ value: 36.451
+ - type: map_at_100
+ value: 37.791000000000004
+ - type: map_at_1000
+ value: 37.897
+ - type: map_at_3
+ value: 33.109
+ - type: map_at_5
+ value: 34.937000000000005
+ - type: mrr_at_1
+ value: 32.877
+ - type: mrr_at_10
+ value: 42.368
+ - type: mrr_at_100
+ value: 43.201
+ - type: mrr_at_1000
+ value: 43.259
+ - type: mrr_at_3
+ value: 39.763999999999996
+ - type: mrr_at_5
+ value: 41.260000000000005
+ - type: ndcg_at_1
+ value: 32.877
+ - type: ndcg_at_10
+ value: 42.659000000000006
+ - type: ndcg_at_100
+ value: 48.161
+ - type: ndcg_at_1000
+ value: 50.345
+ - type: ndcg_at_3
+ value: 37.302
+ - type: ndcg_at_5
+ value: 39.722
+ - type: precision_at_1
+ value: 32.877
+ - type: precision_at_10
+ value: 7.9
+ - type: precision_at_100
+ value: 1.236
+ - type: precision_at_1000
+ value: 0.158
+ - type: precision_at_3
+ value: 17.846
+ - type: precision_at_5
+ value: 12.9
+ - type: recall_at_1
+ value: 26.169999999999998
+ - type: recall_at_10
+ value: 55.35
+ - type: recall_at_100
+ value: 78.755
+ - type: recall_at_1000
+ value: 93.518
+ - type: recall_at_3
+ value: 40.176
+ - type: recall_at_5
+ value: 46.589000000000006
+ - type: map_at_1
+ value: 27.15516666666667
+ - type: map_at_10
+ value: 36.65741666666667
+ - type: map_at_100
+ value: 37.84991666666666
+ - type: map_at_1000
+ value: 37.96316666666667
+ - type: map_at_3
+ value: 33.74974999999999
+ - type: map_at_5
+ value: 35.3765
+ - type: mrr_at_1
+ value: 32.08233333333334
+ - type: mrr_at_10
+ value: 41.033833333333334
+ - type: mrr_at_100
+ value: 41.84524999999999
+ - type: mrr_at_1000
+ value: 41.89983333333333
+ - type: mrr_at_3
+ value: 38.62008333333333
+ - type: mrr_at_5
+ value: 40.03441666666666
+ - type: ndcg_at_1
+ value: 32.08233333333334
+ - type: ndcg_at_10
+ value: 42.229
+ - type: ndcg_at_100
+ value: 47.26716666666667
+ - type: ndcg_at_1000
+ value: 49.43466666666667
+ - type: ndcg_at_3
+ value: 37.36408333333333
+ - type: ndcg_at_5
+ value: 39.6715
+ - type: precision_at_1
+ value: 32.08233333333334
+ - type: precision_at_10
+ value: 7.382583333333334
+ - type: precision_at_100
+ value: 1.16625
+ - type: precision_at_1000
+ value: 0.15408333333333332
+ - type: precision_at_3
+ value: 17.218
+ - type: precision_at_5
+ value: 12.21875
+ - type: recall_at_1
+ value: 27.15516666666667
+ - type: recall_at_10
+ value: 54.36683333333333
+ - type: recall_at_100
+ value: 76.37183333333333
+ - type: recall_at_1000
+ value: 91.26183333333333
+ - type: recall_at_3
+ value: 40.769916666666674
+ - type: recall_at_5
+ value: 46.702333333333335
+ - type: map_at_1
+ value: 25.749
+ - type: map_at_10
+ value: 33.001999999999995
+ - type: map_at_100
+ value: 33.891
+ - type: map_at_1000
+ value: 33.993
+ - type: map_at_3
+ value: 30.703999999999997
+ - type: map_at_5
+ value: 31.959
+ - type: mrr_at_1
+ value: 28.834
+ - type: mrr_at_10
+ value: 35.955
+ - type: mrr_at_100
+ value: 36.709
+ - type: mrr_at_1000
+ value: 36.779
+ - type: mrr_at_3
+ value: 33.947
+ - type: mrr_at_5
+ value: 35.089
+ - type: ndcg_at_1
+ value: 28.834
+ - type: ndcg_at_10
+ value: 37.329
+ - type: ndcg_at_100
+ value: 41.79
+ - type: ndcg_at_1000
+ value: 44.169000000000004
+ - type: ndcg_at_3
+ value: 33.184999999999995
+ - type: ndcg_at_5
+ value: 35.107
+ - type: precision_at_1
+ value: 28.834
+ - type: precision_at_10
+ value: 5.7669999999999995
+ - type: precision_at_100
+ value: 0.876
+ - type: precision_at_1000
+ value: 0.11399999999999999
+ - type: precision_at_3
+ value: 14.213000000000001
+ - type: precision_at_5
+ value: 9.754999999999999
+ - type: recall_at_1
+ value: 25.749
+ - type: recall_at_10
+ value: 47.791
+ - type: recall_at_100
+ value: 68.255
+ - type: recall_at_1000
+ value: 85.749
+ - type: recall_at_3
+ value: 36.199
+ - type: recall_at_5
+ value: 41.071999999999996
+ - type: map_at_1
+ value: 17.777
+ - type: map_at_10
+ value: 25.201
+ - type: map_at_100
+ value: 26.423999999999996
+ - type: map_at_1000
+ value: 26.544
+ - type: map_at_3
+ value: 22.869
+ - type: map_at_5
+ value: 24.023
+ - type: mrr_at_1
+ value: 21.473
+ - type: mrr_at_10
+ value: 29.12
+ - type: mrr_at_100
+ value: 30.144
+ - type: mrr_at_1000
+ value: 30.215999999999998
+ - type: mrr_at_3
+ value: 26.933
+ - type: mrr_at_5
+ value: 28.051
+ - type: ndcg_at_1
+ value: 21.473
+ - type: ndcg_at_10
+ value: 30.003
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+ dataset:
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+ type: climate-fever
+ config: default
+ split: test
+ revision: None
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+ dataset:
+ name: MTEB DBPedia
+ type: dbpedia-entity
+ config: default
+ split: test
+ revision: None
+ metrics:
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+ - task:
+ type: Classification
+ dataset:
+ name: MTEB EmotionClassification
+ type: mteb/emotion
+ config: default
+ split: test
+ revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+ metrics:
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+ dataset:
+ name: MTEB FEVER
+ type: fever
+ config: default
+ split: test
+ revision: None
+ metrics:
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+ - type: recall_at_3
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+ - type: recall_at_5
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+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB FiQA2018
+ type: fiqa
+ config: default
+ split: test
+ revision: None
+ metrics:
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+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB HotpotQA
+ type: hotpotqa
+ config: default
+ split: test
+ revision: None
+ metrics:
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+ - type: map_at_10
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+ - type: map_at_100
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+ - type: recall_at_3
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+ - type: recall_at_5
+ value: 72.863
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB ImdbClassification
+ type: mteb/imdb
+ config: default
+ split: test
+ revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+ metrics:
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+ - type: ap
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+ - type: f1
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+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB MSMARCO
+ type: msmarco
+ config: default
+ split: dev
+ revision: None
+ metrics:
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+ value: 23.132
+ - type: map_at_10
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+ - type: map_at_100
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+ - type: map_at_1000
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+ - type: precision_at_1
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+ - type: precision_at_100
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+ - type: precision_at_3
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+ - type: precision_at_5
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+ - type: recall_at_1
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+ - type: recall_at_10
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+ - type: recall_at_100
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+ - type: recall_at_1000
+ value: 97.807
+ - type: recall_at_3
+ value: 42.765
+ - type: recall_at_5
+ value: 52.11
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB MTOPDomainClassification (en)
+ type: mteb/mtop_domain
+ config: en
+ split: test
+ revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+ metrics:
+ - type: accuracy
+ value: 94.59188326493388
+ - type: f1
+ value: 94.3842594786827
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB MTOPIntentClassification (en)
+ type: mteb/mtop_intent
+ config: en
+ split: test
+ revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+ metrics:
+ - type: accuracy
+ value: 79.49384404924761
+ - type: f1
+ value: 59.7580539534629
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB MassiveIntentClassification (en)
+ type: mteb/amazon_massive_intent
+ config: en
+ split: test
+ revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+ metrics:
+ - type: accuracy
+ value: 77.56220578345663
+ - type: f1
+ value: 75.27228165561478
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB MassiveScenarioClassification (en)
+ type: mteb/amazon_massive_scenario
+ config: en
+ split: test
+ revision: 7d571f92784cd94a019292a1f45445077d0ef634
+ metrics:
+ - type: accuracy
+ value: 80.53463349024884
+ - type: f1
+ value: 80.4893958236536
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB MedrxivClusteringP2P
+ type: mteb/medrxiv-clustering-p2p
+ config: default
+ split: test
+ revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+ metrics:
+ - type: v_measure
+ value: 32.56100273484962
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB MedrxivClusteringS2S
+ type: mteb/medrxiv-clustering-s2s
+ config: default
+ split: test
+ revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+ metrics:
+ - type: v_measure
+ value: 31.470380028839607
+ - task:
+ type: Reranking
+ dataset:
+ name: MTEB MindSmallReranking
+ type: mteb/mind_small
+ config: default
+ split: test
+ revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+ metrics:
+ - type: map
+ value: 32.06102792457849
+ - type: mrr
+ value: 33.30709199672238
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB NFCorpus
+ type: nfcorpus
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 6.776999999999999
+ - type: map_at_10
+ value: 14.924000000000001
+ - type: map_at_100
+ value: 18.955
+ - type: map_at_1000
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+ - type: map_at_3
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+ - type: mrr_at_1
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: precision_at_1
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+ - type: precision_at_100
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+ - type: precision_at_1000
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+ - type: recall_at_1
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+ - type: recall_at_10
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+ - type: recall_at_100
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+ - type: recall_at_1000
+ value: 67.54
+ - type: recall_at_3
+ value: 11.869
+ - type: recall_at_5
+ value: 14.999
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB NQ
+ type: nq
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 31.108000000000004
+ - type: map_at_10
+ value: 47.126000000000005
+ - type: map_at_100
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+ - type: map_at_1000
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+ - type: map_at_3
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+ - type: map_at_5
+ value: 45.362
+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
+ value: 50.363
+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
+ value: 59.861
+ - type: ndcg_at_3
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+ - type: ndcg_at_5
+ value: 51.217999999999996
+ - type: precision_at_1
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+ - type: precision_at_10
+ value: 9.099
+ - type: precision_at_100
+ value: 1.145
+ - type: precision_at_1000
+ value: 0.12
+ - type: precision_at_3
+ value: 21.456
+ - type: precision_at_5
+ value: 15.411
+ - type: recall_at_1
+ value: 31.108000000000004
+ - type: recall_at_10
+ value: 76.53999999999999
+ - type: recall_at_100
+ value: 94.39
+ - type: recall_at_1000
+ value: 98.947
+ - type: recall_at_3
+ value: 55.572
+ - type: recall_at_5
+ value: 65.525
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB QuoraRetrieval
+ type: quora
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 71.56400000000001
+ - type: map_at_10
+ value: 85.482
+ - type: map_at_100
+ value: 86.114
+ - type: map_at_1000
+ value: 86.13
+ - type: map_at_3
+ value: 82.607
+ - type: map_at_5
+ value: 84.405
+ - type: mrr_at_1
+ value: 82.42
+ - type: mrr_at_10
+ value: 88.304
+ - type: mrr_at_100
+ value: 88.399
+ - type: mrr_at_1000
+ value: 88.399
+ - type: mrr_at_3
+ value: 87.37
+ - type: mrr_at_5
+ value: 88.024
+ - type: ndcg_at_1
+ value: 82.45
+ - type: ndcg_at_10
+ value: 89.06500000000001
+ - type: ndcg_at_100
+ value: 90.232
+ - type: ndcg_at_1000
+ value: 90.305
+ - type: ndcg_at_3
+ value: 86.375
+ - type: ndcg_at_5
+ value: 87.85300000000001
+ - type: precision_at_1
+ value: 82.45
+ - type: precision_at_10
+ value: 13.486999999999998
+ - type: precision_at_100
+ value: 1.534
+ - type: precision_at_1000
+ value: 0.157
+ - type: precision_at_3
+ value: 37.813
+ - type: precision_at_5
+ value: 24.773999999999997
+ - type: recall_at_1
+ value: 71.56400000000001
+ - type: recall_at_10
+ value: 95.812
+ - type: recall_at_100
+ value: 99.7
+ - type: recall_at_1000
+ value: 99.979
+ - type: recall_at_3
+ value: 87.966
+ - type: recall_at_5
+ value: 92.268
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB RedditClustering
+ type: mteb/reddit-clustering
+ config: default
+ split: test
+ revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+ metrics:
+ - type: v_measure
+ value: 57.241876648614145
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB RedditClusteringP2P
+ type: mteb/reddit-clustering-p2p
+ config: default
+ split: test
+ revision: 282350215ef01743dc01b456c7f5241fa8937f16
+ metrics:
+ - type: v_measure
+ value: 64.66212576446223
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB SCIDOCS
+ type: scidocs
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 5.308
+ - type: map_at_10
+ value: 13.803
+ - type: map_at_100
+ value: 16.176
+ - type: map_at_1000
+ value: 16.561
+ - type: map_at_3
+ value: 9.761000000000001
+ - type: map_at_5
+ value: 11.802
+ - type: mrr_at_1
+ value: 26.200000000000003
+ - type: mrr_at_10
+ value: 37.621
+ - type: mrr_at_100
+ value: 38.767
+ - type: mrr_at_1000
+ value: 38.815
+ - type: mrr_at_3
+ value: 34.117
+ - type: mrr_at_5
+ value: 36.107
+ - type: ndcg_at_1
+ value: 26.200000000000003
+ - type: ndcg_at_10
+ value: 22.64
+ - type: ndcg_at_100
+ value: 31.567
+ - type: ndcg_at_1000
+ value: 37.623
+ - type: ndcg_at_3
+ value: 21.435000000000002
+ - type: ndcg_at_5
+ value: 18.87
+ - type: precision_at_1
+ value: 26.200000000000003
+ - type: precision_at_10
+ value: 11.74
+ - type: precision_at_100
+ value: 2.465
+ - type: precision_at_1000
+ value: 0.391
+ - type: precision_at_3
+ value: 20.033
+ - type: precision_at_5
+ value: 16.64
+ - type: recall_at_1
+ value: 5.308
+ - type: recall_at_10
+ value: 23.794999999999998
+ - type: recall_at_100
+ value: 50.015
+ - type: recall_at_1000
+ value: 79.283
+ - type: recall_at_3
+ value: 12.178
+ - type: recall_at_5
+ value: 16.882
+ - task:
+ type: STS
+ dataset:
+ name: MTEB SICK-R
+ type: mteb/sickr-sts
+ config: default
+ split: test
+ revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+ metrics:
+ - type: cos_sim_pearson
+ value: 84.93231134675553
+ - type: cos_sim_spearman
+ value: 81.68319292603205
+ - type: euclidean_pearson
+ value: 81.8396814380367
+ - type: euclidean_spearman
+ value: 81.24641903349945
+ - type: manhattan_pearson
+ value: 81.84698799204274
+ - type: manhattan_spearman
+ value: 81.24269997904105
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STS12
+ type: mteb/sts12-sts
+ config: default
+ split: test
+ revision: a0d554a64d88156834ff5ae9920b964011b16384
+ metrics:
+ - type: cos_sim_pearson
+ value: 86.73241671587446
+ - type: cos_sim_spearman
+ value: 79.05091082971826
+ - type: euclidean_pearson
+ value: 83.91146869578044
+ - type: euclidean_spearman
+ value: 79.87978465370936
+ - type: manhattan_pearson
+ value: 83.90888338917678
+ - type: manhattan_spearman
+ value: 79.87482848584241
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STS13
+ type: mteb/sts13-sts
+ config: default
+ split: test
+ revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+ metrics:
+ - type: cos_sim_pearson
+ value: 85.14970731146177
+ - type: cos_sim_spearman
+ value: 86.37363490084627
+ - type: euclidean_pearson
+ value: 83.02154218530433
+ - type: euclidean_spearman
+ value: 83.80258761957367
+ - type: manhattan_pearson
+ value: 83.01664495119347
+ - type: manhattan_spearman
+ value: 83.77567458007952
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STS14
+ type: mteb/sts14-sts
+ config: default
+ split: test
+ revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+ metrics:
+ - type: cos_sim_pearson
+ value: 83.40474139886784
+ - type: cos_sim_spearman
+ value: 82.77768789165984
+ - type: euclidean_pearson
+ value: 80.7065877443695
+ - type: euclidean_spearman
+ value: 81.375940662505
+ - type: manhattan_pearson
+ value: 80.6507552270278
+ - type: manhattan_spearman
+ value: 81.32782179098741
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STS15
+ type: mteb/sts15-sts
+ config: default
+ split: test
+ revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+ metrics:
+ - type: cos_sim_pearson
+ value: 87.08585968722274
+ - type: cos_sim_spearman
+ value: 88.03110031451399
+ - type: euclidean_pearson
+ value: 85.74012019602384
+ - type: euclidean_spearman
+ value: 86.13592849438209
+ - type: manhattan_pearson
+ value: 85.74404842369206
+ - type: manhattan_spearman
+ value: 86.14492318960154
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STS16
+ type: mteb/sts16-sts
+ config: default
+ split: test
+ revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+ metrics:
+ - type: cos_sim_pearson
+ value: 84.95069052788875
+ - type: cos_sim_spearman
+ value: 86.4867991595147
+ - type: euclidean_pearson
+ value: 84.31013325754635
+ - type: euclidean_spearman
+ value: 85.01529258006482
+ - type: manhattan_pearson
+ value: 84.26995570085374
+ - type: manhattan_spearman
+ value: 84.96982104986162
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STS17 (en-en)
+ type: mteb/sts17-crosslingual-sts
+ config: en-en
+ split: test
+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+ metrics:
+ - type: cos_sim_pearson
+ value: 87.54617647971897
+ - type: cos_sim_spearman
+ value: 87.49834181751034
+ - type: euclidean_pearson
+ value: 86.01015322577122
+ - type: euclidean_spearman
+ value: 84.63362652063199
+ - type: manhattan_pearson
+ value: 86.13807574475706
+ - type: manhattan_spearman
+ value: 84.7772370721132
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STS22 (en)
+ type: mteb/sts22-crosslingual-sts
+ config: en
+ split: test
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+ metrics:
+ - type: cos_sim_pearson
+ value: 67.20047755786615
+ - type: cos_sim_spearman
+ value: 67.05324077987636
+ - type: euclidean_pearson
+ value: 66.91930642976601
+ - type: euclidean_spearman
+ value: 65.21491856099105
+ - type: manhattan_pearson
+ value: 66.78756851976624
+ - type: manhattan_spearman
+ value: 65.12356257740728
+ - task:
+ type: STS
+ dataset:
+ name: MTEB STSBenchmark
+ type: mteb/stsbenchmark-sts
+ config: default
+ split: test
+ revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+ metrics:
+ - type: cos_sim_pearson
+ value: 86.19852871539686
+ - type: cos_sim_spearman
+ value: 87.5161895296395
+ - type: euclidean_pearson
+ value: 84.59848645207485
+ - type: euclidean_spearman
+ value: 85.26427328757919
+ - type: manhattan_pearson
+ value: 84.59747366996524
+ - type: manhattan_spearman
+ value: 85.24045855146915
+ - task:
+ type: Reranking
+ dataset:
+ name: MTEB SciDocsRR
+ type: mteb/scidocs-reranking
+ config: default
+ split: test
+ revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+ metrics:
+ - type: map
+ value: 87.63320317811032
+ - type: mrr
+ value: 96.26242947321379
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB SciFact
+ type: scifact
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 60.928000000000004
+ - type: map_at_10
+ value: 70.112
+ - type: map_at_100
+ value: 70.59299999999999
+ - type: map_at_1000
+ value: 70.623
+ - type: map_at_3
+ value: 66.846
+ - type: map_at_5
+ value: 68.447
+ - type: mrr_at_1
+ value: 64.0
+ - type: mrr_at_10
+ value: 71.212
+ - type: mrr_at_100
+ value: 71.616
+ - type: mrr_at_1000
+ value: 71.64500000000001
+ - type: mrr_at_3
+ value: 68.77799999999999
+ - type: mrr_at_5
+ value: 70.094
+ - type: ndcg_at_1
+ value: 64.0
+ - type: ndcg_at_10
+ value: 74.607
+ - type: ndcg_at_100
+ value: 76.416
+ - type: ndcg_at_1000
+ value: 77.102
+ - type: ndcg_at_3
+ value: 69.126
+ - type: ndcg_at_5
+ value: 71.41300000000001
+ - type: precision_at_1
+ value: 64.0
+ - type: precision_at_10
+ value: 9.933
+ - type: precision_at_100
+ value: 1.077
+ - type: precision_at_1000
+ value: 0.11299999999999999
+ - type: precision_at_3
+ value: 26.556
+ - type: precision_at_5
+ value: 17.467
+ - type: recall_at_1
+ value: 60.928000000000004
+ - type: recall_at_10
+ value: 87.322
+ - type: recall_at_100
+ value: 94.833
+ - type: recall_at_1000
+ value: 100.0
+ - type: recall_at_3
+ value: 72.628
+ - type: recall_at_5
+ value: 78.428
+ - task:
+ type: PairClassification
+ dataset:
+ name: MTEB SprintDuplicateQuestions
+ type: mteb/sprintduplicatequestions-pairclassification
+ config: default
+ split: test
+ revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+ metrics:
+ - type: cos_sim_accuracy
+ value: 99.86237623762376
+ - type: cos_sim_ap
+ value: 96.72586477206649
+ - type: cos_sim_f1
+ value: 93.01858362631845
+ - type: cos_sim_precision
+ value: 93.4409687184662
+ - type: cos_sim_recall
+ value: 92.60000000000001
+ - type: dot_accuracy
+ value: 99.78019801980199
+ - type: dot_ap
+ value: 93.72748205246228
+ - type: dot_f1
+ value: 89.04109589041096
+ - type: dot_precision
+ value: 87.16475095785441
+ - type: dot_recall
+ value: 91.0
+ - type: euclidean_accuracy
+ value: 99.85445544554456
+ - type: euclidean_ap
+ value: 96.6661459876145
+ - type: euclidean_f1
+ value: 92.58337481333997
+ - type: euclidean_precision
+ value: 92.17046580773042
+ - type: euclidean_recall
+ value: 93.0
+ - type: manhattan_accuracy
+ value: 99.85445544554456
+ - type: manhattan_ap
+ value: 96.6883549244056
+ - type: manhattan_f1
+ value: 92.57598405580468
+ - type: manhattan_precision
+ value: 92.25422045680239
+ - type: manhattan_recall
+ value: 92.9
+ - type: max_accuracy
+ value: 99.86237623762376
+ - type: max_ap
+ value: 96.72586477206649
+ - type: max_f1
+ value: 93.01858362631845
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB StackExchangeClustering
+ type: mteb/stackexchange-clustering
+ config: default
+ split: test
+ revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+ metrics:
+ - type: v_measure
+ value: 66.39930057069995
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB StackExchangeClusteringP2P
+ type: mteb/stackexchange-clustering-p2p
+ config: default
+ split: test
+ revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+ metrics:
+ - type: v_measure
+ value: 34.96398659903402
+ - task:
+ type: Reranking
+ dataset:
+ name: MTEB StackOverflowDupQuestions
+ type: mteb/stackoverflowdupquestions-reranking
+ config: default
+ split: test
+ revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+ metrics:
+ - type: map
+ value: 55.946944700355395
+ - type: mrr
+ value: 56.97151398438164
+ - task:
+ type: Summarization
+ dataset:
+ name: MTEB SummEval
+ type: mteb/summeval
+ config: default
+ split: test
+ revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+ metrics:
+ - type: cos_sim_pearson
+ value: 31.541657650692905
+ - type: cos_sim_spearman
+ value: 31.605804192286303
+ - type: dot_pearson
+ value: 28.26905996736398
+ - type: dot_spearman
+ value: 27.864801765851187
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB TRECCOVID
+ type: trec-covid
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 0.22599999999999998
+ - type: map_at_10
+ value: 1.8870000000000002
+ - type: map_at_100
+ value: 9.78
+ - type: map_at_1000
+ value: 22.514
+ - type: map_at_3
+ value: 0.6669999999999999
+ - type: map_at_5
+ value: 1.077
+ - type: mrr_at_1
+ value: 82.0
+ - type: mrr_at_10
+ value: 89.86699999999999
+ - type: mrr_at_100
+ value: 89.86699999999999
+ - type: mrr_at_1000
+ value: 89.86699999999999
+ - type: mrr_at_3
+ value: 89.667
+ - type: mrr_at_5
+ value: 89.667
+ - type: ndcg_at_1
+ value: 79.0
+ - type: ndcg_at_10
+ value: 74.818
+ - type: ndcg_at_100
+ value: 53.715999999999994
+ - type: ndcg_at_1000
+ value: 47.082
+ - type: ndcg_at_3
+ value: 82.134
+ - type: ndcg_at_5
+ value: 79.81899999999999
+ - type: precision_at_1
+ value: 82.0
+ - type: precision_at_10
+ value: 78.0
+ - type: precision_at_100
+ value: 54.48
+ - type: precision_at_1000
+ value: 20.518
+ - type: precision_at_3
+ value: 87.333
+ - type: precision_at_5
+ value: 85.2
+ - type: recall_at_1
+ value: 0.22599999999999998
+ - type: recall_at_10
+ value: 2.072
+ - type: recall_at_100
+ value: 13.013
+ - type: recall_at_1000
+ value: 43.462
+ - type: recall_at_3
+ value: 0.695
+ - type: recall_at_5
+ value: 1.139
+ - task:
+ type: Retrieval
+ dataset:
+ name: MTEB Touche2020
+ type: webis-touche2020
+ config: default
+ split: test
+ revision: None
+ metrics:
+ - type: map_at_1
+ value: 2.328
+ - type: map_at_10
+ value: 9.795
+ - type: map_at_100
+ value: 15.801000000000002
+ - type: map_at_1000
+ value: 17.23
+ - type: map_at_3
+ value: 4.734
+ - type: map_at_5
+ value: 6.644
+ - type: mrr_at_1
+ value: 30.612000000000002
+ - type: mrr_at_10
+ value: 46.902
+ - type: mrr_at_100
+ value: 47.495
+ - type: mrr_at_1000
+ value: 47.495
+ - type: mrr_at_3
+ value: 41.156
+ - type: mrr_at_5
+ value: 44.218
+ - type: ndcg_at_1
+ value: 28.571
+ - type: ndcg_at_10
+ value: 24.806
+ - type: ndcg_at_100
+ value: 36.419000000000004
+ - type: ndcg_at_1000
+ value: 47.272999999999996
+ - type: ndcg_at_3
+ value: 25.666
+ - type: ndcg_at_5
+ value: 25.448999999999998
+ - type: precision_at_1
+ value: 30.612000000000002
+ - type: precision_at_10
+ value: 23.061
+ - type: precision_at_100
+ value: 7.714
+ - type: precision_at_1000
+ value: 1.484
+ - type: precision_at_3
+ value: 26.531
+ - type: precision_at_5
+ value: 26.122
+ - type: recall_at_1
+ value: 2.328
+ - type: recall_at_10
+ value: 16.524
+ - type: recall_at_100
+ value: 47.179
+ - type: recall_at_1000
+ value: 81.22200000000001
+ - type: recall_at_3
+ value: 5.745
+ - type: recall_at_5
+ value: 9.339
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB ToxicConversationsClassification
+ type: mteb/toxic_conversations_50k
+ config: default
+ split: test
+ revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+ metrics:
+ - type: accuracy
+ value: 70.9142
+ - type: ap
+ value: 14.335574772555415
+ - type: f1
+ value: 54.62839595194111
+ - task:
+ type: Classification
+ dataset:
+ name: MTEB TweetSentimentExtractionClassification
+ type: mteb/tweet_sentiment_extraction
+ config: default
+ split: test
+ revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+ metrics:
+ - type: accuracy
+ value: 59.94340690435768
+ - type: f1
+ value: 60.286487936731916
+ - task:
+ type: Clustering
+ dataset:
+ name: MTEB TwentyNewsgroupsClustering
+ type: mteb/twentynewsgroups-clustering
+ config: default
+ split: test
+ revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+ metrics:
+ - type: v_measure
+ value: 51.26597708987974
+ - task:
+ type: PairClassification
+ dataset:
+ name: MTEB TwitterSemEval2015
+ type: mteb/twittersemeval2015-pairclassification
+ config: default
+ split: test
+ revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+ metrics:
+ - type: cos_sim_accuracy
+ value: 87.48882398521786
+ - type: cos_sim_ap
+ value: 79.04326607602204
+ - type: cos_sim_f1
+ value: 71.64566826860633
+ - type: cos_sim_precision
+ value: 70.55512918905092
+ - type: cos_sim_recall
+ value: 72.77044854881267
+ - type: dot_accuracy
+ value: 84.19264469213805
+ - type: dot_ap
+ value: 67.96360043562528
+ - type: dot_f1
+ value: 64.06418393006827
+ - type: dot_precision
+ value: 58.64941898706424
+ - type: dot_recall
+ value: 70.58047493403694
+ - type: euclidean_accuracy
+ value: 87.45902127913214
+ - type: euclidean_ap
+ value: 78.9742237648272
+ - type: euclidean_f1
+ value: 71.5553235908142
+ - type: euclidean_precision
+ value: 70.77955601445535
+ - type: euclidean_recall
+ value: 72.34828496042216
+ - type: manhattan_accuracy
+ value: 87.41729749061214
+ - type: manhattan_ap
+ value: 78.90073137580596
+ - type: manhattan_f1
+ value: 71.3942611553533
+ - type: manhattan_precision
+ value: 68.52705653967483
+ - type: manhattan_recall
+ value: 74.51187335092348
+ - type: max_accuracy
+ value: 87.48882398521786
+ - type: max_ap
+ value: 79.04326607602204
+ - type: max_f1
+ value: 71.64566826860633
+ - task:
+ type: PairClassification
+ dataset:
+ name: MTEB TwitterURLCorpus
+ type: mteb/twitterurlcorpus-pairclassification
+ config: default
+ split: test
+ revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+ metrics:
+ - type: cos_sim_accuracy
+ value: 88.68125897465751
+ - type: cos_sim_ap
+ value: 85.6003454431979
+ - type: cos_sim_f1
+ value: 77.6957163958641
+ - type: cos_sim_precision
+ value: 73.0110366307807
+ - type: cos_sim_recall
+ value: 83.02279026793964
+ - type: dot_accuracy
+ value: 87.7672992587418
+ - type: dot_ap
+ value: 82.4971301112899
+ - type: dot_f1
+ value: 75.90528233151184
+ - type: dot_precision
+ value: 72.0370626469368
+ - type: dot_recall
+ value: 80.21250384970742
+ - type: euclidean_accuracy
+ value: 88.4503434625684
+ - type: euclidean_ap
+ value: 84.91949884748384
+ - type: euclidean_f1
+ value: 76.92365018444684
+ - type: euclidean_precision
+ value: 74.53245721712759
+ - type: euclidean_recall
+ value: 79.47336002463813
+ - type: manhattan_accuracy
+ value: 88.47556952691427
+ - type: manhattan_ap
+ value: 84.8963689101517
+ - type: manhattan_f1
+ value: 76.85901249256395
+ - type: manhattan_precision
+ value: 74.31693989071039
+ - type: manhattan_recall
+ value: 79.58115183246073
+ - type: max_accuracy
+ value: 88.68125897465751
+ - type: max_ap
+ value: 85.6003454431979
+ - type: max_f1
+ value: 77.6957163958641
+---
+# huoxu/bge-large-en-v1.5-Q8_0-GGUF
+This model was converted to GGUF format from [`BAAI/bge-large-en-v1.5`](https://huggingface.co/BAAI/bge-large-en-v1.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/BAAI/bge-large-en-v1.5) for more details on the model.
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+```bash
+brew install llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+### CLI:
+```bash
+llama-cli --hf-repo huoxu/bge-large-en-v1.5-Q8_0-GGUF --hf-file bge-large-en-v1.5-q8_0.gguf -p "The meaning to life and the universe is"
+```
+### Server:
+```bash
+llama-server --hf-repo huoxu/bge-large-en-v1.5-Q8_0-GGUF --hf-file bge-large-en-v1.5-q8_0.gguf -c 2048
+```
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo huoxu/bge-large-en-v1.5-Q8_0-GGUF --hf-file bge-large-en-v1.5-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo huoxu/bge-large-en-v1.5-Q8_0-GGUF --hf-file bge-large-en-v1.5-q8_0.gguf -c 2048
+```