Update README.md

README.md

@@ -12,6 +12,3650 @@ tags:
 - Qwen2-VL
 - sentence-similarity
 - vidore
+model-index:
+- name: gme-Qwen2-VL-7B-Instruct
+  results:
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/AFQMC
+      name: MTEB AFQMC
+      config: default
+      split: validation
+      revision: b44c3b011063adb25877c13823db83bb193913c4
+    metrics:
+    - type: cos_sim_pearson
+      value: 64.72351048394194
+    - type: cos_sim_spearman
+      value: 71.66842612591344
+    - type: euclidean_pearson
+      value: 70.0342809043895
+    - type: euclidean_spearman
+      value: 71.66842612323917
+    - type: manhattan_pearson
+      value: 69.94743870947117
+    - type: manhattan_spearman
+      value: 71.53159630946965
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/ATEC
+      name: MTEB ATEC
+      config: default
+      split: test
+      revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
+    metrics:
+    - type: cos_sim_pearson
+      value: 52.38188106868689
+    - type: cos_sim_spearman
+      value: 55.468235529709766
+    - type: euclidean_pearson
+      value: 56.974786979175086
+    - type: euclidean_spearman
+      value: 55.468231026153745
+    - type: manhattan_pearson
+      value: 56.94467132566259
+    - type: manhattan_spearman
+      value: 55.39037386224014
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 77.61194029850746
+    - type: ap
+      value: 41.29789064067677
+    - type: f1
+      value: 71.69633278678522
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 97.3258
+    - type: ap
+      value: 95.91845683387056
+    - type: f1
+      value: 97.32526074864263
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 64.794
+    - type: f1
+      value: 63.7329780206882
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (zh)
+      config: zh
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 55.099999999999994
+    - type: f1
+      value: 53.115528412999666
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 40.541
+    - type: map_at_10
+      value: 56.315000000000005
+    - type: map_at_100
+      value: 56.824
+    - type: map_at_1000
+      value: 56.825
+    - type: map_at_3
+      value: 51.778
+    - type: map_at_5
+      value: 54.623
+    - type: mrr_at_1
+      value: 41.038000000000004
+    - type: mrr_at_10
+      value: 56.532000000000004
+    - type: mrr_at_100
+      value: 57.034
+    - type: mrr_at_1000
+      value: 57.034
+    - type: mrr_at_3
+      value: 52.015
+    - type: mrr_at_5
+      value: 54.835
+    - type: ndcg_at_1
+      value: 40.541
+    - type: ndcg_at_10
+      value: 64.596
+    - type: ndcg_at_100
+      value: 66.656
+    - type: ndcg_at_1000
+      value: 66.666
+    - type: ndcg_at_3
+      value: 55.415000000000006
+    - type: ndcg_at_5
+      value: 60.527
+    - type: precision_at_1
+      value: 40.541
+    - type: precision_at_10
+      value: 9.083
+    - type: precision_at_100
+      value: 0.996
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 21.977
+    - type: precision_at_5
+      value: 15.661
+    - type: recall_at_1
+      value: 40.541
+    - type: recall_at_10
+      value: 90.825
+    - type: recall_at_100
+      value: 99.57300000000001
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 65.932
+    - type: recall_at_5
+      value: 78.307
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 54.96111428218386
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 50.637711388838945
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 64.0741897266483
+    - type: mrr
+      value: 76.11440882909028
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.2557839280406
+    - type: cos_sim_spearman
+      value: 82.58200216886888
+    - type: euclidean_pearson
+      value: 84.80588838508498
+    - type: euclidean_spearman
+      value: 82.58200216886888
+    - type: manhattan_pearson
+      value: 84.53082035185592
+    - type: manhattan_spearman
+      value: 82.4964580510134
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/BQ
+      name: MTEB BQ
+      config: default
+      split: test
+      revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.98420285210636
+    - type: cos_sim_spearman
+      value: 78.95549489000658
+    - type: euclidean_pearson
+      value: 79.14591532018991
+    - type: euclidean_spearman
+      value: 78.95549488953284
+    - type: manhattan_pearson
+      value: 79.26212116856509
+    - type: manhattan_spearman
+      value: 79.02104262086006
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 84.76298701298703
+    - type: f1
+      value: 84.24881789367576
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 46.86757924102047
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 43.86043680479362
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringP2P
+      name: MTEB CLSClusteringP2P
+      config: default
+      split: test
+      revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
+    metrics:
+    - type: v_measure
+      value: 45.684222588040605
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/CLSClusteringS2S
+      name: MTEB CLSClusteringS2S
+      config: default
+      split: test
+      revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
+    metrics:
+    - type: v_measure
+      value: 45.45639765303432
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv1-reranking
+      name: MTEB CMedQAv1
+      config: default
+      split: test
+      revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
+    metrics:
+    - type: map
+      value: 88.7058672660788
+    - type: mrr
+      value: 90.5795634920635
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/CMedQAv2-reranking
+      name: MTEB CMedQAv2
+      config: default
+      split: test
+      revision: 23d186750531a14a0357ca22cd92d712fd512ea0
+    metrics:
+    - type: map
+      value: 90.50750030424048
+    - type: mrr
+      value: 92.3970634920635
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 28.848000000000003
+    - type: map_at_10
+      value: 40.453
+    - type: map_at_100
+      value: 42.065000000000005
+    - type: map_at_1000
+      value: 42.176
+    - type: map_at_3
+      value: 36.697
+    - type: map_at_5
+      value: 38.855000000000004
+    - type: mrr_at_1
+      value: 34.764
+    - type: mrr_at_10
+      value: 45.662000000000006
+    - type: mrr_at_100
+      value: 46.56
+    - type: mrr_at_1000
+      value: 46.597
+    - type: mrr_at_3
+      value: 42.632
+    - type: mrr_at_5
+      value: 44.249
+    - type: ndcg_at_1
+      value: 34.764
+    - type: ndcg_at_10
+      value: 47.033
+    - type: ndcg_at_100
+      value: 53.089
+    - type: ndcg_at_1000
+      value: 54.818
+    - type: ndcg_at_3
+      value: 41.142
+    - type: ndcg_at_5
+      value: 43.928
+    - type: precision_at_1
+      value: 34.764
+    - type: precision_at_10
+      value: 9.027000000000001
+    - type: precision_at_100
+      value: 1.465
+    - type: precision_at_1000
+      value: 0.192
+    - type: precision_at_3
+      value: 19.695
+    - type: precision_at_5
+      value: 14.535
+    - type: recall_at_1
+      value: 28.848000000000003
+    - type: recall_at_10
+      value: 60.849
+    - type: recall_at_100
+      value: 85.764
+    - type: recall_at_1000
+      value: 96.098
+    - type: recall_at_3
+      value: 44.579
+    - type: recall_at_5
+      value: 51.678999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 30.731
+    - type: map_at_10
+      value: 41.859
+    - type: map_at_100
+      value: 43.13
+    - type: map_at_1000
+      value: 43.257
+    - type: map_at_3
+      value: 38.384
+    - type: map_at_5
+      value: 40.284
+    - type: mrr_at_1
+      value: 38.471
+    - type: mrr_at_10
+      value: 47.531
+    - type: mrr_at_100
+      value: 48.199
+    - type: mrr_at_1000
+      value: 48.24
+    - type: mrr_at_3
+      value: 44.989000000000004
+    - type: mrr_at_5
+      value: 46.403
+    - type: ndcg_at_1
+      value: 38.471
+    - type: ndcg_at_10
+      value: 48.022999999999996
+    - type: ndcg_at_100
+      value: 52.32599999999999
+    - type: ndcg_at_1000
+      value: 54.26
+    - type: ndcg_at_3
+      value: 42.986999999999995
+    - type: ndcg_at_5
+      value: 45.23
+    - type: precision_at_1
+      value: 38.471
+    - type: precision_at_10
+      value: 9.248000000000001
+    - type: precision_at_100
+      value: 1.469
+    - type: precision_at_1000
+      value: 0.193
+    - type: precision_at_3
+      value: 20.892
+    - type: precision_at_5
+      value: 14.892
+    - type: recall_at_1
+      value: 30.731
+    - type: recall_at_10
+      value: 59.561
+    - type: recall_at_100
+      value: 77.637
+    - type: recall_at_1000
+      value: 89.64999999999999
+    - type: recall_at_3
+      value: 44.897999999999996
+    - type: recall_at_5
+      value: 51.181
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 34.949000000000005
+    - type: map_at_10
+      value: 48.117
+    - type: map_at_100
+      value: 49.355
+    - type: map_at_1000
+      value: 49.409
+    - type: map_at_3
+      value: 44.732
+    - type: map_at_5
+      value: 46.555
+    - type: mrr_at_1
+      value: 40.188
+    - type: mrr_at_10
+      value: 51.452
+    - type: mrr_at_100
+      value: 52.219
+    - type: mrr_at_1000
+      value: 52.24100000000001
+    - type: mrr_at_3
+      value: 48.642
+    - type: mrr_at_5
+      value: 50.134
+    - type: ndcg_at_1
+      value: 40.188
+    - type: ndcg_at_10
+      value: 54.664
+    - type: ndcg_at_100
+      value: 59.38099999999999
+    - type: ndcg_at_1000
+      value: 60.363
+    - type: ndcg_at_3
+      value: 48.684
+    - type: ndcg_at_5
+      value: 51.406
+    - type: precision_at_1
+      value: 40.188
+    - type: precision_at_10
+      value: 9.116
+    - type: precision_at_100
+      value: 1.248
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 22.236
+    - type: precision_at_5
+      value: 15.310000000000002
+    - type: recall_at_1
+      value: 34.949000000000005
+    - type: recall_at_10
+      value: 70.767
+    - type: recall_at_100
+      value: 90.79
+    - type: recall_at_1000
+      value: 97.57900000000001
+    - type: recall_at_3
+      value: 54.723
+    - type: recall_at_5
+      value: 61.404
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 25.312
+    - type: map_at_10
+      value: 34.799
+    - type: map_at_100
+      value: 35.906
+    - type: map_at_1000
+      value: 35.983
+    - type: map_at_3
+      value: 31.582
+    - type: map_at_5
+      value: 33.507999999999996
+    - type: mrr_at_1
+      value: 27.232
+    - type: mrr_at_10
+      value: 36.82
+    - type: mrr_at_100
+      value: 37.733
+    - type: mrr_at_1000
+      value: 37.791000000000004
+    - type: mrr_at_3
+      value: 33.804
+    - type: mrr_at_5
+      value: 35.606
+    - type: ndcg_at_1
+      value: 27.232
+    - type: ndcg_at_10
+      value: 40.524
+    - type: ndcg_at_100
+      value: 45.654
+    - type: ndcg_at_1000
+      value: 47.557
+    - type: ndcg_at_3
+      value: 34.312
+    - type: ndcg_at_5
+      value: 37.553
+    - type: precision_at_1
+      value: 27.232
+    - type: precision_at_10
+      value: 6.52
+    - type: precision_at_100
+      value: 0.9530000000000001
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 14.915000000000001
+    - type: precision_at_5
+      value: 10.847
+    - type: recall_at_1
+      value: 25.312
+    - type: recall_at_10
+      value: 56.169000000000004
+    - type: recall_at_100
+      value: 79.16499999999999
+    - type: recall_at_1000
+      value: 93.49300000000001
+    - type: recall_at_3
+      value: 39.5
+    - type: recall_at_5
+      value: 47.288999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 17.153
+    - type: map_at_10
+      value: 27.671
+    - type: map_at_100
+      value: 29.186
+    - type: map_at_1000
+      value: 29.299999999999997
+    - type: map_at_3
+      value: 24.490000000000002
+    - type: map_at_5
+      value: 26.178
+    - type: mrr_at_1
+      value: 21.144
+    - type: mrr_at_10
+      value: 32.177
+    - type: mrr_at_100
+      value: 33.247
+    - type: mrr_at_1000
+      value: 33.306000000000004
+    - type: mrr_at_3
+      value: 29.187
+    - type: mrr_at_5
+      value: 30.817
+    - type: ndcg_at_1
+      value: 21.144
+    - type: ndcg_at_10
+      value: 33.981
+    - type: ndcg_at_100
+      value: 40.549
+    - type: ndcg_at_1000
+      value: 43.03
+    - type: ndcg_at_3
+      value: 28.132
+    - type: ndcg_at_5
+      value: 30.721999999999998
+    - type: precision_at_1
+      value: 21.144
+    - type: precision_at_10
+      value: 6.666999999999999
+    - type: precision_at_100
+      value: 1.147
+    - type: precision_at_1000
+      value: 0.149
+    - type: precision_at_3
+      value: 14.302999999999999
+    - type: precision_at_5
+      value: 10.423
+    - type: recall_at_1
+      value: 17.153
+    - type: recall_at_10
+      value: 48.591
+    - type: recall_at_100
+      value: 76.413
+    - type: recall_at_1000
+      value: 93.8
+    - type: recall_at_3
+      value: 32.329
+    - type: recall_at_5
+      value: 38.958999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 27.909
+    - type: map_at_10
+      value: 40.168
+    - type: map_at_100
+      value: 41.524
+    - type: map_at_1000
+      value: 41.626000000000005
+    - type: map_at_3
+      value: 36.274
+    - type: map_at_5
+      value: 38.411
+    - type: mrr_at_1
+      value: 34.649
+    - type: mrr_at_10
+      value: 45.613
+    - type: mrr_at_100
+      value: 46.408
+    - type: mrr_at_1000
+      value: 46.444
+    - type: mrr_at_3
+      value: 42.620999999999995
+    - type: mrr_at_5
+      value: 44.277
+    - type: ndcg_at_1
+      value: 34.649
+    - type: ndcg_at_10
+      value: 47.071000000000005
+    - type: ndcg_at_100
+      value: 52.559999999999995
+    - type: ndcg_at_1000
+      value: 54.285000000000004
+    - type: ndcg_at_3
+      value: 40.63
+    - type: ndcg_at_5
+      value: 43.584
+    - type: precision_at_1
+      value: 34.649
+    - type: precision_at_10
+      value: 8.855
+    - type: precision_at_100
+      value: 1.361
+    - type: precision_at_1000
+      value: 0.167
+    - type: precision_at_3
+      value: 19.538
+    - type: precision_at_5
+      value: 14.187
+    - type: recall_at_1
+      value: 27.909
+    - type: recall_at_10
+      value: 62.275000000000006
+    - type: recall_at_100
+      value: 84.95
+    - type: recall_at_1000
+      value: 96.02000000000001
+    - type: recall_at_3
+      value: 44.767
+    - type: recall_at_5
+      value: 52.03
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 25.846000000000004
+    - type: map_at_10
+      value: 36.870999999999995
+    - type: map_at_100
+      value: 38.294
+    - type: map_at_1000
+      value: 38.401
+    - type: map_at_3
+      value: 33.163
+    - type: map_at_5
+      value: 35.177
+    - type: mrr_at_1
+      value: 31.849
+    - type: mrr_at_10
+      value: 41.681000000000004
+    - type: mrr_at_100
+      value: 42.658
+    - type: mrr_at_1000
+      value: 42.71
+    - type: mrr_at_3
+      value: 39.003
+    - type: mrr_at_5
+      value: 40.436
+    - type: ndcg_at_1
+      value: 31.849
+    - type: ndcg_at_10
+      value: 43.291000000000004
+    - type: ndcg_at_100
+      value: 49.136
+    - type: ndcg_at_1000
+      value: 51.168
+    - type: ndcg_at_3
+      value: 37.297999999999995
+    - type: ndcg_at_5
+      value: 39.934
+    - type: precision_at_1
+      value: 31.849
+    - type: precision_at_10
+      value: 8.219
+    - type: precision_at_100
+      value: 1.318
+    - type: precision_at_1000
+      value: 0.167
+    - type: precision_at_3
+      value: 18.151
+    - type: precision_at_5
+      value: 13.242
+    - type: recall_at_1
+      value: 25.846000000000004
+    - type: recall_at_10
+      value: 57.642
+    - type: recall_at_100
+      value: 82.069
+    - type: recall_at_1000
+      value: 95.684
+    - type: recall_at_3
+      value: 40.778999999999996
+    - type: recall_at_5
+      value: 47.647
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 25.34866666666667
+    - type: map_at_10
+      value: 35.65541666666667
+    - type: map_at_100
+      value: 36.982416666666666
+    - type: map_at_1000
+      value: 37.09416666666667
+    - type: map_at_3
+      value: 32.421499999999995
+    - type: map_at_5
+      value: 34.20266666666667
+    - type: mrr_at_1
+      value: 30.02116666666667
+    - type: mrr_at_10
+      value: 39.781666666666666
+    - type: mrr_at_100
+      value: 40.69733333333333
+    - type: mrr_at_1000
+      value: 40.74875
+    - type: mrr_at_3
+      value: 37.043083333333335
+    - type: mrr_at_5
+      value: 38.56391666666666
+    - type: ndcg_at_1
+      value: 30.02116666666667
+    - type: ndcg_at_10
+      value: 41.66133333333333
+    - type: ndcg_at_100
+      value: 47.21474999999999
+    - type: ndcg_at_1000
+      value: 49.29600000000001
+    - type: ndcg_at_3
+      value: 36.06958333333334
+    - type: ndcg_at_5
+      value: 38.66858333333333
+    - type: precision_at_1
+      value: 30.02116666666667
+    - type: precision_at_10
+      value: 7.497249999999999
+    - type: precision_at_100
+      value: 1.2044166666666667
+    - type: precision_at_1000
+      value: 0.15766666666666665
+    - type: precision_at_3
+      value: 16.83458333333333
+    - type: precision_at_5
+      value: 12.134
+    - type: recall_at_1
+      value: 25.34866666666667
+    - type: recall_at_10
+      value: 55.40541666666666
+    - type: recall_at_100
+      value: 79.38683333333333
+    - type: recall_at_1000
+      value: 93.50958333333334
+    - type: recall_at_3
+      value: 39.99858333333334
+    - type: recall_at_5
+      value: 46.55741666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 25.102000000000004
+    - type: map_at_10
+      value: 33.31
+    - type: map_at_100
+      value: 34.443
+    - type: map_at_1000
+      value: 34.547
+    - type: map_at_3
+      value: 30.932
+    - type: map_at_5
+      value: 32.126
+    - type: mrr_at_1
+      value: 28.221
+    - type: mrr_at_10
+      value: 36.519
+    - type: mrr_at_100
+      value: 37.425000000000004
+    - type: mrr_at_1000
+      value: 37.498
+    - type: mrr_at_3
+      value: 34.254
+    - type: mrr_at_5
+      value: 35.388999999999996
+    - type: ndcg_at_1
+      value: 28.221
+    - type: ndcg_at_10
+      value: 38.340999999999994
+    - type: ndcg_at_100
+      value: 43.572
+    - type: ndcg_at_1000
+      value: 45.979
+    - type: ndcg_at_3
+      value: 33.793
+    - type: ndcg_at_5
+      value: 35.681000000000004
+    - type: precision_at_1
+      value: 28.221
+    - type: precision_at_10
+      value: 6.135
+    - type: precision_at_100
+      value: 0.946
+    - type: precision_at_1000
+      value: 0.123
+    - type: precision_at_3
+      value: 14.519000000000002
+    - type: precision_at_5
+      value: 9.969
+    - type: recall_at_1
+      value: 25.102000000000004
+    - type: recall_at_10
+      value: 50.639
+    - type: recall_at_100
+      value: 74.075
+    - type: recall_at_1000
+      value: 91.393
+    - type: recall_at_3
+      value: 37.952000000000005
+    - type: recall_at_5
+      value: 42.71
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 18.618000000000002
+    - type: map_at_10
+      value: 26.714
+    - type: map_at_100
+      value: 27.929
+    - type: map_at_1000
+      value: 28.057
+    - type: map_at_3
+      value: 24.134
+    - type: map_at_5
+      value: 25.575
+    - type: mrr_at_1
+      value: 22.573999999999998
+    - type: mrr_at_10
+      value: 30.786
+    - type: mrr_at_100
+      value: 31.746000000000002
+    - type: mrr_at_1000
+      value: 31.822
+    - type: mrr_at_3
+      value: 28.412
+    - type: mrr_at_5
+      value: 29.818
+    - type: ndcg_at_1
+      value: 22.573999999999998
+    - type: ndcg_at_10
+      value: 31.852000000000004
+    - type: ndcg_at_100
+      value: 37.477
+    - type: ndcg_at_1000
+      value: 40.331
+    - type: ndcg_at_3
+      value: 27.314
+    - type: ndcg_at_5
+      value: 29.485
+    - type: precision_at_1
+      value: 22.573999999999998
+    - type: precision_at_10
+      value: 5.86
+    - type: precision_at_100
+      value: 1.012
+    - type: precision_at_1000
+      value: 0.146
+    - type: precision_at_3
+      value: 13.099
+    - type: precision_at_5
+      value: 9.56
+    - type: recall_at_1
+      value: 18.618000000000002
+    - type: recall_at_10
+      value: 43.134
+    - type: recall_at_100
+      value: 68.294
+    - type: recall_at_1000
+      value: 88.283
+    - type: recall_at_3
+      value: 30.397999999999996
+    - type: recall_at_5
+      value: 35.998000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 27.76
+    - type: map_at_10
+      value: 37.569
+    - type: map_at_100
+      value: 38.784
+    - type: map_at_1000
+      value: 38.884
+    - type: map_at_3
+      value: 34.379
+    - type: map_at_5
+      value: 36.092999999999996
+    - type: mrr_at_1
+      value: 32.556000000000004
+    - type: mrr_at_10
+      value: 41.870000000000005
+    - type: mrr_at_100
+      value: 42.759
+    - type: mrr_at_1000
+      value: 42.806
+    - type: mrr_at_3
+      value: 39.086
+    - type: mrr_at_5
+      value: 40.574
+    - type: ndcg_at_1
+      value: 32.556000000000004
+    - type: ndcg_at_10
+      value: 43.382
+    - type: ndcg_at_100
+      value: 48.943
+    - type: ndcg_at_1000
+      value: 50.961999999999996
+    - type: ndcg_at_3
+      value: 37.758
+    - type: ndcg_at_5
+      value: 40.282000000000004
+    - type: precision_at_1
+      value: 32.556000000000004
+    - type: precision_at_10
+      value: 7.463
+    - type: precision_at_100
+      value: 1.1480000000000001
+    - type: precision_at_1000
+      value: 0.14300000000000002
+    - type: precision_at_3
+      value: 17.133000000000003
+    - type: precision_at_5
+      value: 12.164
+    - type: recall_at_1
+      value: 27.76
+    - type: recall_at_10
+      value: 56.71000000000001
+    - type: recall_at_100
+      value: 81.053
+    - type: recall_at_1000
+      value: 94.75
+    - type: recall_at_3
+      value: 41.387
+    - type: recall_at_5
+      value: 47.818
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 23.62
+    - type: map_at_10
+      value: 33.522999999999996
+    - type: map_at_100
+      value: 35.281
+    - type: map_at_1000
+      value: 35.504000000000005
+    - type: map_at_3
+      value: 30.314999999999998
+    - type: map_at_5
+      value: 32.065
+    - type: mrr_at_1
+      value: 28.458
+    - type: mrr_at_10
+      value: 38.371
+    - type: mrr_at_100
+      value: 39.548
+    - type: mrr_at_1000
+      value: 39.601
+    - type: mrr_at_3
+      value: 35.638999999999996
+    - type: mrr_at_5
+      value: 37.319
+    - type: ndcg_at_1
+      value: 28.458
+    - type: ndcg_at_10
+      value: 39.715
+    - type: ndcg_at_100
+      value: 46.394999999999996
+    - type: ndcg_at_1000
+      value: 48.943999999999996
+    - type: ndcg_at_3
+      value: 34.361999999999995
+    - type: ndcg_at_5
+      value: 37.006
+    - type: precision_at_1
+      value: 28.458
+    - type: precision_at_10
+      value: 7.5889999999999995
+    - type: precision_at_100
+      value: 1.514
+    - type: precision_at_1000
+      value: 0.242
+    - type: precision_at_3
+      value: 16.073999999999998
+    - type: precision_at_5
+      value: 11.976
+    - type: recall_at_1
+      value: 23.62
+    - type: recall_at_10
+      value: 52.117000000000004
+    - type: recall_at_100
+      value: 81.097
+    - type: recall_at_1000
+      value: 96.47
+    - type: recall_at_3
+      value: 37.537
+    - type: recall_at_5
+      value: 44.112
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 18.336
+    - type: map_at_10
+      value: 26.811
+    - type: map_at_100
+      value: 27.892
+    - type: map_at_1000
+      value: 27.986
+    - type: map_at_3
+      value: 23.976
+    - type: map_at_5
+      value: 25.605
+    - type: mrr_at_1
+      value: 20.148
+    - type: mrr_at_10
+      value: 28.898000000000003
+    - type: mrr_at_100
+      value: 29.866
+    - type: mrr_at_1000
+      value: 29.929
+    - type: mrr_at_3
+      value: 26.247999999999998
+    - type: mrr_at_5
+      value: 27.744999999999997
+    - type: ndcg_at_1
+      value: 20.148
+    - type: ndcg_at_10
+      value: 32.059
+    - type: ndcg_at_100
+      value: 37.495
+    - type: ndcg_at_1000
+      value: 39.855000000000004
+    - type: ndcg_at_3
+      value: 26.423000000000002
+    - type: ndcg_at_5
+      value: 29.212
+    - type: precision_at_1
+      value: 20.148
+    - type: precision_at_10
+      value: 5.268
+    - type: precision_at_100
+      value: 0.872
+    - type: precision_at_1000
+      value: 0.11900000000000001
+    - type: precision_at_3
+      value: 11.459999999999999
+    - type: precision_at_5
+      value: 8.503
+    - type: recall_at_1
+      value: 18.336
+    - type: recall_at_10
+      value: 46.411
+    - type: recall_at_100
+      value: 71.33500000000001
+    - type: recall_at_1000
+      value: 88.895
+    - type: recall_at_3
+      value: 31.134
+    - type: recall_at_5
+      value: 37.862
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 21.149
+    - type: map_at_10
+      value: 35.251
+    - type: map_at_100
+      value: 37.342
+    - type: map_at_1000
+      value: 37.516
+    - type: map_at_3
+      value: 30.543
+    - type: map_at_5
+      value: 33.19
+    - type: mrr_at_1
+      value: 47.687000000000005
+    - type: mrr_at_10
+      value: 59.391000000000005
+    - type: mrr_at_100
+      value: 59.946999999999996
+    - type: mrr_at_1000
+      value: 59.965999999999994
+    - type: mrr_at_3
+      value: 56.938
+    - type: mrr_at_5
+      value: 58.498000000000005
+    - type: ndcg_at_1
+      value: 47.687000000000005
+    - type: ndcg_at_10
+      value: 45.381
+    - type: ndcg_at_100
+      value: 52.405
+    - type: ndcg_at_1000
+      value: 55.041
+    - type: ndcg_at_3
+      value: 40.024
+    - type: ndcg_at_5
+      value: 41.821999999999996
+    - type: precision_at_1
+      value: 47.687000000000005
+    - type: precision_at_10
+      value: 13.355
+    - type: precision_at_100
+      value: 2.113
+    - type: precision_at_1000
+      value: 0.261
+    - type: precision_at_3
+      value: 29.793999999999997
+    - type: precision_at_5
+      value: 21.811
+    - type: recall_at_1
+      value: 21.149
+    - type: recall_at_10
+      value: 49.937
+    - type: recall_at_100
+      value: 73.382
+    - type: recall_at_1000
+      value: 87.606
+    - type: recall_at_3
+      value: 35.704
+    - type: recall_at_5
+      value: 42.309000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CmedqaRetrieval
+      name: MTEB CmedqaRetrieval
+      config: default
+      split: dev
+      revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
+    metrics:
+    - type: map_at_1
+      value: 28.74
+    - type: map_at_10
+      value: 41.981
+    - type: map_at_100
+      value: 43.753
+    - type: map_at_1000
+      value: 43.858999999999995
+    - type: map_at_3
+      value: 37.634
+    - type: map_at_5
+      value: 40.158
+    - type: mrr_at_1
+      value: 43.086
+    - type: mrr_at_10
+      value: 51.249
+    - type: mrr_at_100
+      value: 52.154
+    - type: mrr_at_1000
+      value: 52.190999999999995
+    - type: mrr_at_3
+      value: 48.787000000000006
+    - type: mrr_at_5
+      value: 50.193
+    - type: ndcg_at_1
+      value: 43.086
+    - type: ndcg_at_10
+      value: 48.703
+    - type: ndcg_at_100
+      value: 55.531
+    - type: ndcg_at_1000
+      value: 57.267999999999994
+    - type: ndcg_at_3
+      value: 43.464000000000006
+    - type: ndcg_at_5
+      value: 45.719
+    - type: precision_at_1
+      value: 43.086
+    - type: precision_at_10
+      value: 10.568
+    - type: precision_at_100
+      value: 1.616
+    - type: precision_at_1000
+      value: 0.184
+    - type: precision_at_3
+      value: 24.256
+    - type: precision_at_5
+      value: 17.509
+    - type: recall_at_1
+      value: 28.74
+    - type: recall_at_10
+      value: 59.349
+    - type: recall_at_100
+      value: 87.466
+    - type: recall_at_1000
+      value: 98.914
+    - type: recall_at_3
+      value: 43.322
+    - type: recall_at_5
+      value: 50.409000000000006
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/CMNLI
+      name: MTEB Cmnli
+      config: default
+      split: validation
+      revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
+    metrics:
+    - type: cos_sim_accuracy
+      value: 79.03788334335539
+    - type: cos_sim_ap
+      value: 87.21703260472833
+    - type: cos_sim_f1
+      value: 79.87784187309127
+    - type: cos_sim_precision
+      value: 77.36634531113059
+    - type: cos_sim_recall
+      value: 82.55786766425064
+    - type: dot_accuracy
+      value: 79.03788334335539
+    - type: dot_ap
+      value: 87.22906528217948
+    - type: dot_f1
+      value: 79.87784187309127
+    - type: dot_precision
+      value: 77.36634531113059
+    - type: dot_recall
+      value: 82.55786766425064
+    - type: euclidean_accuracy
+      value: 79.03788334335539
+    - type: euclidean_ap
+      value: 87.21703670465753
+    - type: euclidean_f1
+      value: 79.87784187309127
+    - type: euclidean_precision
+      value: 77.36634531113059
+    - type: euclidean_recall
+      value: 82.55786766425064
+    - type: manhattan_accuracy
+      value: 78.28021647624774
+    - type: manhattan_ap
+      value: 86.66244127855394
+    - type: manhattan_f1
+      value: 79.24485643228577
+    - type: manhattan_precision
+      value: 76.71262858393521
+    - type: manhattan_recall
+      value: 81.94996492868833
+    - type: max_accuracy
+      value: 79.03788334335539
+    - type: max_ap
+      value: 87.22906528217948
+    - type: max_f1
+      value: 79.87784187309127
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/CovidRetrieval
+      name: MTEB CovidRetrieval
+      config: default
+      split: dev
+      revision: 1271c7809071a13532e05f25fb53511ffce77117
+    metrics:
+    - type: map_at_1
+      value: 67.597
+    - type: map_at_10
+      value: 75.81599999999999
+    - type: map_at_100
+      value: 76.226
+    - type: map_at_1000
+      value: 76.23100000000001
+    - type: map_at_3
+      value: 73.907
+    - type: map_at_5
+      value: 75.08200000000001
+    - type: mrr_at_1
+      value: 67.756
+    - type: mrr_at_10
+      value: 75.8
+    - type: mrr_at_100
+      value: 76.205
+    - type: mrr_at_1000
+      value: 76.21
+    - type: mrr_at_3
+      value: 73.955
+    - type: mrr_at_5
+      value: 75.093
+    - type: ndcg_at_1
+      value: 67.756
+    - type: ndcg_at_10
+      value: 79.598
+    - type: ndcg_at_100
+      value: 81.34400000000001
+    - type: ndcg_at_1000
+      value: 81.477
+    - type: ndcg_at_3
+      value: 75.876
+    - type: ndcg_at_5
+      value: 77.94200000000001
+    - type: precision_at_1
+      value: 67.756
+    - type: precision_at_10
+      value: 9.231
+    - type: precision_at_100
+      value: 1.0
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 27.362
+    - type: precision_at_5
+      value: 17.45
+    - type: recall_at_1
+      value: 67.597
+    - type: recall_at_10
+      value: 91.307
+    - type: recall_at_100
+      value: 98.946
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 81.428
+    - type: recall_at_5
+      value: 86.407
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/dbpedia
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 9.33
+    - type: map_at_10
+      value: 23.118
+    - type: map_at_100
+      value: 34.28
+    - type: map_at_1000
+      value: 36.574
+    - type: map_at_3
+      value: 15.576
+    - type: map_at_5
+      value: 18.778
+    - type: mrr_at_1
+      value: 75.25
+    - type: mrr_at_10
+      value: 81.958
+    - type: mrr_at_100
+      value: 82.282
+    - type: mrr_at_1000
+      value: 82.285
+    - type: mrr_at_3
+      value: 81.042
+    - type: mrr_at_5
+      value: 81.62899999999999
+    - type: ndcg_at_1
+      value: 63.625
+    - type: ndcg_at_10
+      value: 50.781
+    - type: ndcg_at_100
+      value: 55.537000000000006
+    - type: ndcg_at_1000
+      value: 62.651
+    - type: ndcg_at_3
+      value: 55.297
+    - type: ndcg_at_5
+      value: 53.103
+    - type: precision_at_1
+      value: 75.25
+    - type: precision_at_10
+      value: 41.475
+    - type: precision_at_100
+      value: 13.5
+    - type: precision_at_1000
+      value: 2.686
+    - type: precision_at_3
+      value: 59.333000000000006
+    - type: precision_at_5
+      value: 51.9
+    - type: recall_at_1
+      value: 9.33
+    - type: recall_at_10
+      value: 29.398000000000003
+    - type: recall_at_100
+      value: 61.951
+    - type: recall_at_1000
+      value: 85.463
+    - type: recall_at_3
+      value: 17.267
+    - type: recall_at_5
+      value: 21.89
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/DuRetrieval
+      name: MTEB DuRetrieval
+      config: default
+      split: dev
+      revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
+    metrics:
+    - type: map_at_1
+      value: 25.608999999999998
+    - type: map_at_10
+      value: 78.649
+    - type: map_at_100
+      value: 81.67699999999999
+    - type: map_at_1000
+      value: 81.71000000000001
+    - type: map_at_3
+      value: 54.112
+    - type: map_at_5
+      value: 68.34700000000001
+    - type: mrr_at_1
+      value: 87.75
+    - type: mrr_at_10
+      value: 92.175
+    - type: mrr_at_100
+      value: 92.225
+    - type: mrr_at_1000
+      value: 92.227
+    - type: mrr_at_3
+      value: 91.833
+    - type: mrr_at_5
+      value: 92.06800000000001
+    - type: ndcg_at_1
+      value: 87.75
+    - type: ndcg_at_10
+      value: 86.56700000000001
+    - type: ndcg_at_100
+      value: 89.519
+    - type: ndcg_at_1000
+      value: 89.822
+    - type: ndcg_at_3
+      value: 84.414
+    - type: ndcg_at_5
+      value: 83.721
+    - type: precision_at_1
+      value: 87.75
+    - type: precision_at_10
+      value: 41.665
+    - type: precision_at_100
+      value: 4.827
+    - type: precision_at_1000
+      value: 0.49
+    - type: precision_at_3
+      value: 75.533
+    - type: precision_at_5
+      value: 64.01
+    - type: recall_at_1
+      value: 25.608999999999998
+    - type: recall_at_10
+      value: 88.708
+    - type: recall_at_100
+      value: 98.007
+    - type: recall_at_1000
+      value: 99.555
+    - type: recall_at_3
+      value: 57.157000000000004
+    - type: recall_at_5
+      value: 74.118
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/EcomRetrieval
+      name: MTEB EcomRetrieval
+      config: default
+      split: dev
+      revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
+    metrics:
+    - type: map_at_1
+      value: 55.800000000000004
+    - type: map_at_10
+      value: 65.952
+    - type: map_at_100
+      value: 66.413
+    - type: map_at_1000
+      value: 66.426
+    - type: map_at_3
+      value: 63.3
+    - type: map_at_5
+      value: 64.945
+    - type: mrr_at_1
+      value: 55.800000000000004
+    - type: mrr_at_10
+      value: 65.952
+    - type: mrr_at_100
+      value: 66.413
+    - type: mrr_at_1000
+      value: 66.426
+    - type: mrr_at_3
+      value: 63.3
+    - type: mrr_at_5
+      value: 64.945
+    - type: ndcg_at_1
+      value: 55.800000000000004
+    - type: ndcg_at_10
+      value: 71.00800000000001
+    - type: ndcg_at_100
+      value: 72.974
+    - type: ndcg_at_1000
+      value: 73.302
+    - type: ndcg_at_3
+      value: 65.669
+    - type: ndcg_at_5
+      value: 68.634
+    - type: precision_at_1
+      value: 55.800000000000004
+    - type: precision_at_10
+      value: 8.690000000000001
+    - type: precision_at_100
+      value: 0.955
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 24.166999999999998
+    - type: precision_at_5
+      value: 15.939999999999998
+    - type: recall_at_1
+      value: 55.800000000000004
+    - type: recall_at_10
+      value: 86.9
+    - type: recall_at_100
+      value: 95.5
+    - type: recall_at_1000
+      value: 98.0
+    - type: recall_at_3
+      value: 72.5
+    - type: recall_at_5
+      value: 79.7
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 67.39500000000001
+    - type: f1
+      value: 62.01837785021389
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 86.27
+    - type: map_at_10
+      value: 92.163
+    - type: map_at_100
+      value: 92.351
+    - type: map_at_1000
+      value: 92.36
+    - type: map_at_3
+      value: 91.36
+    - type: map_at_5
+      value: 91.888
+    - type: mrr_at_1
+      value: 92.72399999999999
+    - type: mrr_at_10
+      value: 95.789
+    - type: mrr_at_100
+      value: 95.80300000000001
+    - type: mrr_at_1000
+      value: 95.804
+    - type: mrr_at_3
+      value: 95.64200000000001
+    - type: mrr_at_5
+      value: 95.75
+    - type: ndcg_at_1
+      value: 92.72399999999999
+    - type: ndcg_at_10
+      value: 94.269
+    - type: ndcg_at_100
+      value: 94.794
+    - type: ndcg_at_1000
+      value: 94.94
+    - type: ndcg_at_3
+      value: 93.427
+    - type: ndcg_at_5
+      value: 93.914
+    - type: precision_at_1
+      value: 92.72399999999999
+    - type: precision_at_10
+      value: 11.007
+    - type: precision_at_100
+      value: 1.153
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 34.993
+    - type: precision_at_5
+      value: 21.542
+    - type: recall_at_1
+      value: 86.27
+    - type: recall_at_10
+      value: 97.031
+    - type: recall_at_100
+      value: 98.839
+    - type: recall_at_1000
+      value: 99.682
+    - type: recall_at_3
+      value: 94.741
+    - type: recall_at_5
+      value: 96.03
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 29.561999999999998
+    - type: map_at_10
+      value: 48.52
+    - type: map_at_100
+      value: 50.753
+    - type: map_at_1000
+      value: 50.878
+    - type: map_at_3
+      value: 42.406
+    - type: map_at_5
+      value: 45.994
+    - type: mrr_at_1
+      value: 54.784
+    - type: mrr_at_10
+      value: 64.51400000000001
+    - type: mrr_at_100
+      value: 65.031
+    - type: mrr_at_1000
+      value: 65.05199999999999
+    - type: mrr_at_3
+      value: 62.474
+    - type: mrr_at_5
+      value: 63.562
+    - type: ndcg_at_1
+      value: 54.784
+    - type: ndcg_at_10
+      value: 57.138
+    - type: ndcg_at_100
+      value: 63.666999999999994
+    - type: ndcg_at_1000
+      value: 65.379
+    - type: ndcg_at_3
+      value: 52.589
+    - type: ndcg_at_5
+      value: 54.32599999999999
+    - type: precision_at_1
+      value: 54.784
+    - type: precision_at_10
+      value: 15.693999999999999
+    - type: precision_at_100
+      value: 2.259
+    - type: precision_at_1000
+      value: 0.256
+    - type: precision_at_3
+      value: 34.774
+    - type: precision_at_5
+      value: 25.772000000000002
+    - type: recall_at_1
+      value: 29.561999999999998
+    - type: recall_at_10
+      value: 64.708
+    - type: recall_at_100
+      value: 87.958
+    - type: recall_at_1000
+      value: 97.882
+    - type: recall_at_3
+      value: 48.394
+    - type: recall_at_5
+      value: 56.101
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 43.72
+    - type: map_at_10
+      value: 71.905
+    - type: map_at_100
+      value: 72.685
+    - type: map_at_1000
+      value: 72.72800000000001
+    - type: map_at_3
+      value: 68.538
+    - type: map_at_5
+      value: 70.675
+    - type: mrr_at_1
+      value: 87.441
+    - type: mrr_at_10
+      value: 91.432
+    - type: mrr_at_100
+      value: 91.512
+    - type: mrr_at_1000
+      value: 91.513
+    - type: mrr_at_3
+      value: 90.923
+    - type: mrr_at_5
+      value: 91.252
+    - type: ndcg_at_1
+      value: 87.441
+    - type: ndcg_at_10
+      value: 79.212
+    - type: ndcg_at_100
+      value: 81.694
+    - type: ndcg_at_1000
+      value: 82.447
+    - type: ndcg_at_3
+      value: 74.746
+    - type: ndcg_at_5
+      value: 77.27199999999999
+    - type: precision_at_1
+      value: 87.441
+    - type: precision_at_10
+      value: 16.42
+    - type: precision_at_100
+      value: 1.833
+    - type: precision_at_1000
+      value: 0.193
+    - type: precision_at_3
+      value: 48.184
+    - type: precision_at_5
+      value: 30.897999999999996
+    - type: recall_at_1
+      value: 43.72
+    - type: recall_at_10
+      value: 82.1
+    - type: recall_at_100
+      value: 91.62700000000001
+    - type: recall_at_1000
+      value: 96.556
+    - type: recall_at_3
+      value: 72.275
+    - type: recall_at_5
+      value: 77.24499999999999
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/IFlyTek-classification
+      name: MTEB IFlyTek
+      config: default
+      split: validation
+      revision: 421605374b29664c5fc098418fe20ada9bd55f8a
+    metrics:
+    - type: accuracy
+      value: 54.520969603693736
+    - type: f1
+      value: 42.359043311419626
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 96.72559999999999
+    - type: ap
+      value: 95.01759461773742
+    - type: f1
+      value: 96.72429945397575
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/JDReview-classification
+      name: MTEB JDReview
+      config: default
+      split: test
+      revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
+    metrics:
+    - type: accuracy
+      value: 90.1688555347092
+    - type: ap
+      value: 63.36583667477521
+    - type: f1
+      value: 85.6845016521436
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/LCQMC
+      name: MTEB LCQMC
+      config: default
+      split: test
+      revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
+    metrics:
+    - type: cos_sim_pearson
+      value: 67.35114066823127
+    - type: cos_sim_spearman
+      value: 72.98875207056305
+    - type: euclidean_pearson
+      value: 71.45620183630378
+    - type: euclidean_spearman
+      value: 72.98875207022671
+    - type: manhattan_pearson
+      value: 71.3845159780333
+    - type: manhattan_spearman
+      value: 72.92710990543166
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
+    metrics:
+    - type: map
+      value: 32.68592539803807
+    - type: mrr
+      value: 31.58968253968254
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MMarcoRetrieval
+      name: MTEB MMarcoRetrieval
+      config: default
+      split: dev
+      revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
+    metrics:
+    - type: map_at_1
+      value: 71.242
+    - type: map_at_10
+      value: 80.01
+    - type: map_at_100
+      value: 80.269
+    - type: map_at_1000
+      value: 80.276
+    - type: map_at_3
+      value: 78.335
+    - type: map_at_5
+      value: 79.471
+    - type: mrr_at_1
+      value: 73.668
+    - type: mrr_at_10
+      value: 80.515
+    - type: mrr_at_100
+      value: 80.738
+    - type: mrr_at_1000
+      value: 80.744
+    - type: mrr_at_3
+      value: 79.097
+    - type: mrr_at_5
+      value: 80.045
+    - type: ndcg_at_1
+      value: 73.668
+    - type: ndcg_at_10
+      value: 83.357
+    - type: ndcg_at_100
+      value: 84.442
+    - type: ndcg_at_1000
+      value: 84.619
+    - type: ndcg_at_3
+      value: 80.286
+    - type: ndcg_at_5
+      value: 82.155
+    - type: precision_at_1
+      value: 73.668
+    - type: precision_at_10
+      value: 9.905
+    - type: precision_at_100
+      value: 1.043
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 30.024
+    - type: precision_at_5
+      value: 19.017
+    - type: recall_at_1
+      value: 71.242
+    - type: recall_at_10
+      value: 93.11
+    - type: recall_at_100
+      value: 97.85000000000001
+    - type: recall_at_1000
+      value: 99.21900000000001
+    - type: recall_at_3
+      value: 85.137
+    - type: recall_at_5
+      value: 89.548
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 22.006999999999998
+    - type: map_at_10
+      value: 34.994
+    - type: map_at_100
+      value: 36.183
+    - type: map_at_1000
+      value: 36.227
+    - type: map_at_3
+      value: 30.75
+    - type: map_at_5
+      value: 33.155
+    - type: mrr_at_1
+      value: 22.679
+    - type: mrr_at_10
+      value: 35.619
+    - type: mrr_at_100
+      value: 36.732
+    - type: mrr_at_1000
+      value: 36.77
+    - type: mrr_at_3
+      value: 31.44
+    - type: mrr_at_5
+      value: 33.811
+    - type: ndcg_at_1
+      value: 22.679
+    - type: ndcg_at_10
+      value: 42.376000000000005
+    - type: ndcg_at_100
+      value: 48.001
+    - type: ndcg_at_1000
+      value: 49.059999999999995
+    - type: ndcg_at_3
+      value: 33.727000000000004
+    - type: ndcg_at_5
+      value: 38.013000000000005
+    - type: precision_at_1
+      value: 22.679
+    - type: precision_at_10
+      value: 6.815
+    - type: precision_at_100
+      value: 0.962
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 14.441
+    - type: precision_at_5
+      value: 10.817
+    - type: recall_at_1
+      value: 22.006999999999998
+    - type: recall_at_10
+      value: 65.158
+    - type: recall_at_100
+      value: 90.997
+    - type: recall_at_1000
+      value: 98.996
+    - type: recall_at_3
+      value: 41.646
+    - type: recall_at_5
+      value: 51.941
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 97.55129958960327
+    - type: f1
+      value: 97.43464802675416
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 90.4719562243502
+    - type: f1
+      value: 70.76460034443902
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 83.49024882313383
+    - type: f1
+      value: 81.44067057564666
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (zh-CN)
+      config: zh-CN
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 79.88231338264963
+    - type: f1
+      value: 77.13536609019927
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 87.23268325487558
+    - type: f1
+      value: 86.36737921996752
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (zh-CN)
+      config: zh-CN
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 84.50571620712844
+    - type: f1
+      value: 83.4128768262944
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/MedicalRetrieval
+      name: MTEB MedicalRetrieval
+      config: default
+      split: dev
+      revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
+    metrics:
+    - type: map_at_1
+      value: 56.89999999999999
+    - type: map_at_10
+      value: 63.438
+    - type: map_at_100
+      value: 63.956
+    - type: map_at_1000
+      value: 63.991
+    - type: map_at_3
+      value: 61.983
+    - type: map_at_5
+      value: 62.778
+    - type: mrr_at_1
+      value: 56.99999999999999
+    - type: mrr_at_10
+      value: 63.483000000000004
+    - type: mrr_at_100
+      value: 63.993
+    - type: mrr_at_1000
+      value: 64.02799999999999
+    - type: mrr_at_3
+      value: 62.017
+    - type: mrr_at_5
+      value: 62.812
+    - type: ndcg_at_1
+      value: 56.89999999999999
+    - type: ndcg_at_10
+      value: 66.61
+    - type: ndcg_at_100
+      value: 69.387
+    - type: ndcg_at_1000
+      value: 70.327
+    - type: ndcg_at_3
+      value: 63.583999999999996
+    - type: ndcg_at_5
+      value: 65.0
+    - type: precision_at_1
+      value: 56.89999999999999
+    - type: precision_at_10
+      value: 7.66
+    - type: precision_at_100
+      value: 0.902
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 22.733
+    - type: precision_at_5
+      value: 14.32
+    - type: recall_at_1
+      value: 56.89999999999999
+    - type: recall_at_10
+      value: 76.6
+    - type: recall_at_100
+      value: 90.2
+    - type: recall_at_1000
+      value: 97.6
+    - type: recall_at_3
+      value: 68.2
+    - type: recall_at_5
+      value: 71.6
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 40.32149153753394
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 39.40319973495386
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 33.9769104898534
+    - type: mrr
+      value: 35.32831430710564
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/MultilingualSentiment-classification
+      name: MTEB MultilingualSentiment
+      config: default
+      split: validation
+      revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
+    metrics:
+    - type: accuracy
+      value: 81.80666666666667
+    - type: f1
+      value: 81.83278699395508
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 6.3
+    - type: map_at_10
+      value: 14.151
+    - type: map_at_100
+      value: 18.455
+    - type: map_at_1000
+      value: 20.186999999999998
+    - type: map_at_3
+      value: 10.023
+    - type: map_at_5
+      value: 11.736
+    - type: mrr_at_1
+      value: 49.536
+    - type: mrr_at_10
+      value: 58.516
+    - type: mrr_at_100
+      value: 59.084
+    - type: mrr_at_1000
+      value: 59.114
+    - type: mrr_at_3
+      value: 56.45
+    - type: mrr_at_5
+      value: 57.642
+    - type: ndcg_at_1
+      value: 47.522999999999996
+    - type: ndcg_at_10
+      value: 38.4
+    - type: ndcg_at_100
+      value: 35.839999999999996
+    - type: ndcg_at_1000
+      value: 44.998
+    - type: ndcg_at_3
+      value: 43.221
+    - type: ndcg_at_5
+      value: 40.784
+    - type: precision_at_1
+      value: 49.536
+    - type: precision_at_10
+      value: 28.977999999999998
+    - type: precision_at_100
+      value: 9.378
+    - type: precision_at_1000
+      value: 2.2769999999999997
+    - type: precision_at_3
+      value: 40.454
+    - type: precision_at_5
+      value: 35.418
+    - type: recall_at_1
+      value: 6.3
+    - type: recall_at_10
+      value: 19.085
+    - type: recall_at_100
+      value: 38.18
+    - type: recall_at_1000
+      value: 71.219
+    - type: recall_at_3
+      value: 11.17
+    - type: recall_at_5
+      value: 13.975999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 43.262
+    - type: map_at_10
+      value: 60.387
+    - type: map_at_100
+      value: 61.102000000000004
+    - type: map_at_1000
+      value: 61.111000000000004
+    - type: map_at_3
+      value: 56.391999999999996
+    - type: map_at_5
+      value: 58.916000000000004
+    - type: mrr_at_1
+      value: 48.725
+    - type: mrr_at_10
+      value: 62.812999999999995
+    - type: mrr_at_100
+      value: 63.297000000000004
+    - type: mrr_at_1000
+      value: 63.304
+    - type: mrr_at_3
+      value: 59.955999999999996
+    - type: mrr_at_5
+      value: 61.785999999999994
+    - type: ndcg_at_1
+      value: 48.696
+    - type: ndcg_at_10
+      value: 67.743
+    - type: ndcg_at_100
+      value: 70.404
+    - type: ndcg_at_1000
+      value: 70.60600000000001
+    - type: ndcg_at_3
+      value: 60.712999999999994
+    - type: ndcg_at_5
+      value: 64.693
+    - type: precision_at_1
+      value: 48.696
+    - type: precision_at_10
+      value: 10.513
+    - type: precision_at_100
+      value: 1.196
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 27.221
+    - type: precision_at_5
+      value: 18.701999999999998
+    - type: recall_at_1
+      value: 43.262
+    - type: recall_at_10
+      value: 87.35300000000001
+    - type: recall_at_100
+      value: 98.31299999999999
+    - type: recall_at_1000
+      value: 99.797
+    - type: recall_at_3
+      value: 69.643
+    - type: recall_at_5
+      value: 78.645
+  - task:
+      type: PairClassification
+    dataset:
+      type: C-MTEB/OCNLI
+      name: MTEB Ocnli
+      config: default
+      split: validation
+      revision: 66e76a618a34d6d565d5538088562851e6daa7ec
+    metrics:
+    - type: cos_sim_accuracy
+      value: 72.65836491608013
+    - type: cos_sim_ap
+      value: 78.75807247519593
+    - type: cos_sim_f1
+      value: 74.84662576687117
+    - type: cos_sim_precision
+      value: 63.97003745318352
+    - type: cos_sim_recall
+      value: 90.17951425554382
+    - type: dot_accuracy
+      value: 72.65836491608013
+    - type: dot_ap
+      value: 78.75807247519593
+    - type: dot_f1
+      value: 74.84662576687117
+    - type: dot_precision
+      value: 63.97003745318352
+    - type: dot_recall
+      value: 90.17951425554382
+    - type: euclidean_accuracy
+      value: 72.65836491608013
+    - type: euclidean_ap
+      value: 78.75807247519593
+    - type: euclidean_f1
+      value: 74.84662576687117
+    - type: euclidean_precision
+      value: 63.97003745318352
+    - type: euclidean_recall
+      value: 90.17951425554382
+    - type: manhattan_accuracy
+      value: 72.00866269626421
+    - type: manhattan_ap
+      value: 78.34663376353235
+    - type: manhattan_f1
+      value: 74.13234613604813
+    - type: manhattan_precision
+      value: 65.98023064250413
+    - type: manhattan_recall
+      value: 84.58289334741288
+    - type: max_accuracy
+      value: 72.65836491608013
+    - type: max_ap
+      value: 78.75807247519593
+    - type: max_f1
+      value: 74.84662576687117
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/OnlineShopping-classification
+      name: MTEB OnlineShopping
+      config: default
+      split: test
+      revision: e610f2ebd179a8fda30ae534c3878750a96db120
+    metrics:
+    - type: accuracy
+      value: 94.46999999999998
+    - type: ap
+      value: 93.56401511160975
+    - type: f1
+      value: 94.46692790889986
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/PAWSX
+      name: MTEB PAWSX
+      config: default
+      split: test
+      revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
+    metrics:
+    - type: cos_sim_pearson
+      value: 46.851404503762474
+    - type: cos_sim_spearman
+      value: 52.74603680597415
+    - type: euclidean_pearson
+      value: 51.596358967977295
+    - type: euclidean_spearman
+      value: 52.74603680597415
+    - type: manhattan_pearson
+      value: 51.81838023379299
+    - type: manhattan_spearman
+      value: 52.79611669731429
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/QBQTC
+      name: MTEB QBQTC
+      config: default
+      split: test
+      revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.928376136347016
+    - type: cos_sim_spearman
+      value: 34.38497204533162
+    - type: euclidean_pearson
+      value: 32.658432953090674
+    - type: euclidean_spearman
+      value: 34.38497204533162
+    - type: manhattan_pearson
+      value: 32.887190283203054
+    - type: manhattan_spearman
+      value: 34.69496960849327
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 69.952
+    - type: map_at_10
+      value: 84.134
+    - type: map_at_100
+      value: 84.795
+    - type: map_at_1000
+      value: 84.809
+    - type: map_at_3
+      value: 81.085
+    - type: map_at_5
+      value: 82.976
+    - type: mrr_at_1
+      value: 80.56
+    - type: mrr_at_10
+      value: 87.105
+    - type: mrr_at_100
+      value: 87.20700000000001
+    - type: mrr_at_1000
+      value: 87.208
+    - type: mrr_at_3
+      value: 86.118
+    - type: mrr_at_5
+      value: 86.79299999999999
+    - type: ndcg_at_1
+      value: 80.57
+    - type: ndcg_at_10
+      value: 88.047
+    - type: ndcg_at_100
+      value: 89.266
+    - type: ndcg_at_1000
+      value: 89.34299999999999
+    - type: ndcg_at_3
+      value: 85.052
+    - type: ndcg_at_5
+      value: 86.68299999999999
+    - type: precision_at_1
+      value: 80.57
+    - type: precision_at_10
+      value: 13.439
+    - type: precision_at_100
+      value: 1.536
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.283
+    - type: precision_at_5
+      value: 24.558
+    - type: recall_at_1
+      value: 69.952
+    - type: recall_at_10
+      value: 95.599
+    - type: recall_at_100
+      value: 99.67099999999999
+    - type: recall_at_1000
+      value: 99.983
+    - type: recall_at_3
+      value: 87.095
+    - type: recall_at_5
+      value: 91.668
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 70.12802769698337
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 71.19047621740276
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.208
+    - type: map_at_10
+      value: 17.036
+    - type: map_at_100
+      value: 20.162
+    - type: map_at_1000
+      value: 20.552
+    - type: map_at_3
+      value: 11.591999999999999
+    - type: map_at_5
+      value: 14.349
+    - type: mrr_at_1
+      value: 30.599999999999998
+    - type: mrr_at_10
+      value: 43.325
+    - type: mrr_at_100
+      value: 44.281
+    - type: mrr_at_1000
+      value: 44.31
+    - type: mrr_at_3
+      value: 39.300000000000004
+    - type: mrr_at_5
+      value: 41.730000000000004
+    - type: ndcg_at_1
+      value: 30.599999999999998
+    - type: ndcg_at_10
+      value: 27.378000000000004
+    - type: ndcg_at_100
+      value: 37.768
+    - type: ndcg_at_1000
+      value: 43.275000000000006
+    - type: ndcg_at_3
+      value: 25.167
+    - type: ndcg_at_5
+      value: 22.537
+    - type: precision_at_1
+      value: 30.599999999999998
+    - type: precision_at_10
+      value: 14.46
+    - type: precision_at_100
+      value: 2.937
+    - type: precision_at_1000
+      value: 0.424
+    - type: precision_at_3
+      value: 23.666999999999998
+    - type: precision_at_5
+      value: 20.14
+    - type: recall_at_1
+      value: 6.208
+    - type: recall_at_10
+      value: 29.29
+    - type: recall_at_100
+      value: 59.565
+    - type: recall_at_1000
+      value: 85.963
+    - type: recall_at_3
+      value: 14.407
+    - type: recall_at_5
+      value: 20.412
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.65489797062479
+    - type: cos_sim_spearman
+      value: 75.34808277034776
+    - type: euclidean_pearson
+      value: 79.28097508609059
+    - type: euclidean_spearman
+      value: 75.3480824481771
+    - type: manhattan_pearson
+      value: 78.83529262858895
+    - type: manhattan_spearman
+      value: 74.96318170787025
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.06920163624117
+    - type: cos_sim_spearman
+      value: 77.24549887905519
+    - type: euclidean_pearson
+      value: 85.58740280635266
+    - type: euclidean_spearman
+      value: 77.24652170306867
+    - type: manhattan_pearson
+      value: 85.77917470895854
+    - type: manhattan_spearman
+      value: 77.54426264008778
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.9762185094084
+    - type: cos_sim_spearman
+      value: 80.98090253728394
+    - type: euclidean_pearson
+      value: 80.88451512135202
+    - type: euclidean_spearman
+      value: 80.98090253728394
+    - type: manhattan_pearson
+      value: 80.7606664599805
+    - type: manhattan_spearman
+      value: 80.87197716950068
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.91239166620251
+    - type: cos_sim_spearman
+      value: 76.36798509005328
+    - type: euclidean_pearson
+      value: 80.6393872615655
+    - type: euclidean_spearman
+      value: 76.36798836339655
+    - type: manhattan_pearson
+      value: 80.50765898709096
+    - type: manhattan_spearman
+      value: 76.31958999372227
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.68800355225011
+    - type: cos_sim_spearman
+      value: 84.47549220803403
+    - type: euclidean_pearson
+      value: 83.86859896384159
+    - type: euclidean_spearman
+      value: 84.47551564954756
+    - type: manhattan_pearson
+      value: 83.74201103044383
+    - type: manhattan_spearman
+      value: 84.39903759718152
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.24197302553398
+    - type: cos_sim_spearman
+      value: 79.44526946553684
+    - type: euclidean_pearson
+      value: 79.12747636563053
+    - type: euclidean_spearman
+      value: 79.44526946553684
+    - type: manhattan_pearson
+      value: 78.94407504115144
+    - type: manhattan_spearman
+      value: 79.24858249553934
+  - 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: 89.15329071763895
+    - type: cos_sim_spearman
+      value: 88.67251952242073
+    - type: euclidean_pearson
+      value: 89.16908249259637
+    - type: euclidean_spearman
+      value: 88.67251952242073
+    - type: manhattan_pearson
+      value: 89.1279735094785
+    - type: manhattan_spearman
+      value: 88.81731953658254
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 69.44962535524695
+    - type: cos_sim_spearman
+      value: 71.75861316291065
+    - type: euclidean_pearson
+      value: 72.42347748883483
+    - type: euclidean_spearman
+      value: 71.75861316291065
+    - type: manhattan_pearson
+      value: 72.57545073534365
+    - type: manhattan_spearman
+      value: 71.90087671205625
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (zh)
+      config: zh
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 68.9945443484093
+    - type: cos_sim_spearman
+      value: 71.46807157842791
+    - type: euclidean_pearson
+      value: 69.24911748374225
+    - type: euclidean_spearman
+      value: 69.46807157842791
+    - type: manhattan_pearson
+      value: 69.65580071876552
+    - type: manhattan_spearman
+      value: 69.68775795734852
+  - task:
+      type: STS
+    dataset:
+      type: C-MTEB/STSB
+      name: MTEB STSB
+      config: default
+      split: test
+      revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.39283860361535
+    - type: cos_sim_spearman
+      value: 77.14577975930179
+    - type: euclidean_pearson
+      value: 76.64560889817044
+    - type: euclidean_spearman
+      value: 77.14577975930179
+    - type: manhattan_pearson
+      value: 76.82848456242104
+    - type: manhattan_spearman
+      value: 77.37708521460667
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.14036697885552
+    - type: cos_sim_spearman
+      value: 83.10901632378086
+    - type: euclidean_pearson
+      value: 83.59991244380554
+    - type: euclidean_spearman
+      value: 83.10901632378086
+    - type: manhattan_pearson
+      value: 83.56632266895113
+    - type: manhattan_spearman
+      value: 83.17610542379353
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 88.98026856845443
+    - type: mrr
+      value: 96.80987494712984
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 41.661
+    - type: map_at_10
+      value: 55.492
+    - type: map_at_100
+      value: 56.237
+    - type: map_at_1000
+      value: 56.255
+    - type: map_at_3
+      value: 51.05
+    - type: map_at_5
+      value: 54.01200000000001
+    - type: mrr_at_1
+      value: 44.0
+    - type: mrr_at_10
+      value: 56.443
+    - type: mrr_at_100
+      value: 57.13700000000001
+    - type: mrr_at_1000
+      value: 57.152
+    - type: mrr_at_3
+      value: 52.944
+    - type: mrr_at_5
+      value: 55.37800000000001
+    - type: ndcg_at_1
+      value: 44.0
+    - type: ndcg_at_10
+      value: 62.312999999999995
+    - type: ndcg_at_100
+      value: 65.63900000000001
+    - type: ndcg_at_1000
+      value: 66.019
+    - type: ndcg_at_3
+      value: 54.67999999999999
+    - type: ndcg_at_5
+      value: 59.284000000000006
+    - type: precision_at_1
+      value: 44.0
+    - type: precision_at_10
+      value: 9.367
+    - type: precision_at_100
+      value: 1.0999999999999999
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 22.778000000000002
+    - type: precision_at_5
+      value: 16.467000000000002
+    - type: recall_at_1
+      value: 41.661
+    - type: recall_at_10
+      value: 82.306
+    - type: recall_at_100
+      value: 97.167
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 62.461
+    - type: recall_at_5
+      value: 73.411
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.90693069306931
+    - type: cos_sim_ap
+      value: 97.86562522779887
+    - type: cos_sim_f1
+      value: 95.27162977867204
+    - type: cos_sim_precision
+      value: 95.8502024291498
+    - type: cos_sim_recall
+      value: 94.69999999999999
+    - type: dot_accuracy
+      value: 99.90693069306931
+    - type: dot_ap
+      value: 97.86562522779887
+    - type: dot_f1
+      value: 95.27162977867204
+    - type: dot_precision
+      value: 95.8502024291498
+    - type: dot_recall
+      value: 94.69999999999999
+    - type: euclidean_accuracy
+      value: 99.90693069306931
+    - type: euclidean_ap
+      value: 97.86562522779887
+    - type: euclidean_f1
+      value: 95.27162977867204
+    - type: euclidean_precision
+      value: 95.8502024291498
+    - type: euclidean_recall
+      value: 94.69999999999999
+    - type: manhattan_accuracy
+      value: 99.90693069306931
+    - type: manhattan_ap
+      value: 97.85527044211135
+    - type: manhattan_f1
+      value: 95.27638190954774
+    - type: manhattan_precision
+      value: 95.75757575757575
+    - type: manhattan_recall
+      value: 94.8
+    - type: max_accuracy
+      value: 99.90693069306931
+    - type: max_ap
+      value: 97.86562522779887
+    - type: max_f1
+      value: 95.27638190954774
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 78.89230351770412
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 47.52328347080355
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 57.74702024461137
+    - type: mrr
+      value: 58.88074548001018
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.047929797503592
+    - type: cos_sim_spearman
+      value: 29.465371781983567
+    - type: dot_pearson
+      value: 30.047927690552335
+    - type: dot_spearman
+      value: 29.465371781983567
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/T2Reranking
+      name: MTEB T2Reranking
+      config: default
+      split: dev
+      revision: 76631901a18387f85eaa53e5450019b87ad58ef9
+    metrics:
+    - type: map
+      value: 66.54177017978034
+    - type: mrr
+      value: 76.76094292377299
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/T2Retrieval
+      name: MTEB T2Retrieval
+      config: default
+      split: dev
+      revision: 8731a845f1bf500a4f111cf1070785c793d10e64
+    metrics:
+    - type: map_at_1
+      value: 28.608
+    - type: map_at_10
+      value: 81.266
+    - type: map_at_100
+      value: 84.714
+    - type: map_at_1000
+      value: 84.758
+    - type: map_at_3
+      value: 56.967
+    - type: map_at_5
+      value: 70.14
+    - type: mrr_at_1
+      value: 91.881
+    - type: mrr_at_10
+      value: 94.11699999999999
+    - type: mrr_at_100
+      value: 94.178
+    - type: mrr_at_1000
+      value: 94.181
+    - type: mrr_at_3
+      value: 93.772
+    - type: mrr_at_5
+      value: 93.997
+    - type: ndcg_at_1
+      value: 91.881
+    - type: ndcg_at_10
+      value: 87.954
+    - type: ndcg_at_100
+      value: 90.904
+    - type: ndcg_at_1000
+      value: 91.326
+    - type: ndcg_at_3
+      value: 88.838
+    - type: ndcg_at_5
+      value: 87.764
+    - type: precision_at_1
+      value: 91.881
+    - type: precision_at_10
+      value: 43.628
+    - type: precision_at_100
+      value: 5.082
+    - type: precision_at_1000
+      value: 0.518
+    - type: precision_at_3
+      value: 77.62400000000001
+    - type: precision_at_5
+      value: 65.269
+    - type: recall_at_1
+      value: 28.608
+    - type: recall_at_10
+      value: 87.06
+    - type: recall_at_100
+      value: 96.815
+    - type: recall_at_1000
+      value: 98.969
+    - type: recall_at_3
+      value: 58.506
+    - type: recall_at_5
+      value: 73.21600000000001
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/TNews-classification
+      name: MTEB TNews
+      config: default
+      split: validation
+      revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
+    metrics:
+    - type: accuracy
+      value: 56.691999999999986
+    - type: f1
+      value: 54.692084702788065
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.181
+    - type: map_at_10
+      value: 1.2
+    - type: map_at_100
+      value: 6.078
+    - type: map_at_1000
+      value: 14.940000000000001
+    - type: map_at_3
+      value: 0.45599999999999996
+    - type: map_at_5
+      value: 0.692
+    - type: mrr_at_1
+      value: 66.0
+    - type: mrr_at_10
+      value: 75.819
+    - type: mrr_at_100
+      value: 76.168
+    - type: mrr_at_1000
+      value: 76.168
+    - type: mrr_at_3
+      value: 72.667
+    - type: mrr_at_5
+      value: 74.86699999999999
+    - type: ndcg_at_1
+      value: 59.0
+    - type: ndcg_at_10
+      value: 52.60399999999999
+    - type: ndcg_at_100
+      value: 38.049
+    - type: ndcg_at_1000
+      value: 38.576
+    - type: ndcg_at_3
+      value: 57.235
+    - type: ndcg_at_5
+      value: 56.147000000000006
+    - type: precision_at_1
+      value: 66.0
+    - type: precision_at_10
+      value: 55.2
+    - type: precision_at_100
+      value: 38.78
+    - type: precision_at_1000
+      value: 16.986
+    - type: precision_at_3
+      value: 62.666999999999994
+    - type: precision_at_5
+      value: 60.8
+    - type: recall_at_1
+      value: 0.181
+    - type: recall_at_10
+      value: 1.471
+    - type: recall_at_100
+      value: 9.748999999999999
+    - type: recall_at_1000
+      value: 37.667
+    - type: recall_at_3
+      value: 0.49300000000000005
+    - type: recall_at_5
+      value: 0.7979999999999999
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringP2P
+      name: MTEB ThuNewsClusteringP2P
+      config: default
+      split: test
+      revision: 5798586b105c0434e4f0fe5e767abe619442cf93
+    metrics:
+    - type: v_measure
+      value: 78.68783858143624
+  - task:
+      type: Clustering
+    dataset:
+      type: C-MTEB/ThuNewsClusteringS2S
+      name: MTEB ThuNewsClusteringS2S
+      config: default
+      split: test
+      revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
+    metrics:
+    - type: v_measure
+      value: 77.04148998956299
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 1.936
+    - type: map_at_10
+      value: 8.942
+    - type: map_at_100
+      value: 14.475999999999999
+    - type: map_at_1000
+      value: 16.156000000000002
+    - type: map_at_3
+      value: 4.865
+    - type: map_at_5
+      value: 6.367000000000001
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 42.846000000000004
+    - type: mrr_at_100
+      value: 43.441
+    - type: mrr_at_1000
+      value: 43.441
+    - type: mrr_at_3
+      value: 36.735
+    - type: mrr_at_5
+      value: 40.510000000000005
+    - type: ndcg_at_1
+      value: 24.490000000000002
+    - type: ndcg_at_10
+      value: 23.262
+    - type: ndcg_at_100
+      value: 34.959
+    - type: ndcg_at_1000
+      value: 47.258
+    - type: ndcg_at_3
+      value: 25.27
+    - type: ndcg_at_5
+      value: 24.246000000000002
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 20.408
+    - type: precision_at_100
+      value: 7.306
+    - type: precision_at_1000
+      value: 1.541
+    - type: precision_at_3
+      value: 26.531
+    - type: precision_at_5
+      value: 24.082
+    - type: recall_at_1
+      value: 1.936
+    - type: recall_at_10
+      value: 15.712000000000002
+    - type: recall_at_100
+      value: 45.451
+    - type: recall_at_1000
+      value: 83.269
+    - type: recall_at_3
+      value: 6.442
+    - type: recall_at_5
+      value: 9.151
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 86.564
+    - type: ap
+      value: 34.58766846081731
+    - type: f1
+      value: 72.32759831978161
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 77.80418788907753
+    - type: f1
+      value: 78.1047638421972
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 59.20888659980063
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 85.45627943017226
+    - type: cos_sim_ap
+      value: 72.25550061847534
+    - type: cos_sim_f1
+      value: 66.0611487783037
+    - type: cos_sim_precision
+      value: 64.11720884032779
+    - type: cos_sim_recall
+      value: 68.12664907651715
+    - type: dot_accuracy
+      value: 85.45627943017226
+    - type: dot_ap
+      value: 72.25574305366213
+    - type: dot_f1
+      value: 66.0611487783037
+    - type: dot_precision
+      value: 64.11720884032779
+    - type: dot_recall
+      value: 68.12664907651715
+    - type: euclidean_accuracy
+      value: 85.45627943017226
+    - type: euclidean_ap
+      value: 72.2557084446673
+    - type: euclidean_f1
+      value: 66.0611487783037
+    - type: euclidean_precision
+      value: 64.11720884032779
+    - type: euclidean_recall
+      value: 68.12664907651715
+    - type: manhattan_accuracy
+      value: 85.32514752339513
+    - type: manhattan_ap
+      value: 71.52919143472248
+    - type: manhattan_f1
+      value: 65.60288251190322
+    - type: manhattan_precision
+      value: 64.02913840743531
+    - type: manhattan_recall
+      value: 67.25593667546174
+    - type: max_accuracy
+      value: 85.45627943017226
+    - type: max_ap
+      value: 72.25574305366213
+    - type: max_f1
+      value: 66.0611487783037
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.34167733923235
+    - type: cos_sim_ap
+      value: 84.58587730660244
+    - type: cos_sim_f1
+      value: 77.14170010676287
+    - type: cos_sim_precision
+      value: 73.91181657848324
+    - type: cos_sim_recall
+      value: 80.66676932553126
+    - type: dot_accuracy
+      value: 88.34167733923235
+    - type: dot_ap
+      value: 84.58585083616217
+    - type: dot_f1
+      value: 77.14170010676287
+    - type: dot_precision
+      value: 73.91181657848324
+    - type: dot_recall
+      value: 80.66676932553126
+    - type: euclidean_accuracy
+      value: 88.34167733923235
+    - type: euclidean_ap
+      value: 84.5858781355044
+    - type: euclidean_f1
+      value: 77.14170010676287
+    - type: euclidean_precision
+      value: 73.91181657848324
+    - type: euclidean_recall
+      value: 80.66676932553126
+    - type: manhattan_accuracy
+      value: 88.28152287809989
+    - type: manhattan_ap
+      value: 84.53184837110165
+    - type: manhattan_f1
+      value: 77.13582823915313
+    - type: manhattan_precision
+      value: 74.76156069364161
+    - type: manhattan_recall
+      value: 79.66584539574993
+    - type: max_accuracy
+      value: 88.34167733923235
+    - type: max_ap
+      value: 84.5858781355044
+    - type: max_f1
+      value: 77.14170010676287
+  - task:
+      type: Retrieval
+    dataset:
+      type: C-MTEB/VideoRetrieval
+      name: MTEB VideoRetrieval
+      config: default
+      split: dev
+      revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
+    metrics:
+    - type: map_at_1
+      value: 66.10000000000001
+    - type: map_at_10
+      value: 75.238
+    - type: map_at_100
+      value: 75.559
+    - type: map_at_1000
+      value: 75.565
+    - type: map_at_3
+      value: 73.68299999999999
+    - type: map_at_5
+      value: 74.63300000000001
+    - type: mrr_at_1
+      value: 66.10000000000001
+    - type: mrr_at_10
+      value: 75.238
+    - type: mrr_at_100
+      value: 75.559
+    - type: mrr_at_1000
+      value: 75.565
+    - type: mrr_at_3
+      value: 73.68299999999999
+    - type: mrr_at_5
+      value: 74.63300000000001
+    - type: ndcg_at_1
+      value: 66.10000000000001
+    - type: ndcg_at_10
+      value: 79.25999999999999
+    - type: ndcg_at_100
+      value: 80.719
+    - type: ndcg_at_1000
+      value: 80.862
+    - type: ndcg_at_3
+      value: 76.08200000000001
+    - type: ndcg_at_5
+      value: 77.782
+    - type: precision_at_1
+      value: 66.10000000000001
+    - type: precision_at_10
+      value: 9.17
+    - type: precision_at_100
+      value: 0.983
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 27.667
+    - type: precision_at_5
+      value: 17.419999999999998
+    - type: recall_at_1
+      value: 66.10000000000001
+    - type: recall_at_10
+      value: 91.7
+    - type: recall_at_100
+      value: 98.3
+    - type: recall_at_1000
+      value: 99.4
+    - type: recall_at_3
+      value: 83.0
+    - type: recall_at_5
+      value: 87.1
+  - task:
+      type: Classification
+    dataset:
+      type: C-MTEB/waimai-classification
+      name: MTEB Waimai
+      config: default
+      split: test
+      revision: 339287def212450dcaa9df8c22bf93e9980c7023
+    metrics:
+    - type: accuracy
+      value: 91.13
+    - type: ap
+      value: 79.55231335947015
+    - type: f1
+      value: 89.63091922203914
 ---
 
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