Upload 11 files

1_Pooling/config.json

@@ -0,0 +1,7 @@
+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false
+}

README.md

@@ -1,3 +1,1701 @@
 ---
-license: apache-2.0
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- mteb
+model-index:
+- name: cai-stellaris-text-embeddings
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 64.86567164179104
+    - type: ap
+      value: 28.30760041689409
+    - type: f1
+      value: 59.08589995918376
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 65.168625
+    - type: ap
+      value: 60.131922961382166
+    - type: f1
+      value: 65.02463910192814
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 31.016
+    - type: f1
+      value: 30.501226228002924
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.609
+    - type: map_at_10
+      value: 38.793
+    - type: map_at_100
+      value: 40.074
+    - type: map_at_1000
+      value: 40.083
+    - type: map_at_3
+      value: 33.736
+    - type: map_at_5
+      value: 36.642
+    - type: mrr_at_1
+      value: 25.533
+    - type: mrr_at_10
+      value: 39.129999999999995
+    - type: mrr_at_100
+      value: 40.411
+    - type: mrr_at_1000
+      value: 40.42
+    - type: mrr_at_3
+      value: 34.033
+    - type: mrr_at_5
+      value: 36.956
+    - type: ndcg_at_1
+      value: 24.609
+    - type: ndcg_at_10
+      value: 47.288000000000004
+    - type: ndcg_at_100
+      value: 52.654999999999994
+    - type: ndcg_at_1000
+      value: 52.88699999999999
+    - type: ndcg_at_3
+      value: 36.86
+    - type: ndcg_at_5
+      value: 42.085
+    - type: precision_at_1
+      value: 24.609
+    - type: precision_at_10
+      value: 7.468
+    - type: precision_at_100
+      value: 0.979
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 15.315000000000001
+    - type: precision_at_5
+      value: 11.721
+    - type: recall_at_1
+      value: 24.609
+    - type: recall_at_10
+      value: 74.68
+    - type: recall_at_100
+      value: 97.866
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 45.946
+    - type: recall_at_5
+      value: 58.606
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 42.014046191286525
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 31.406159641263052
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 60.35266033223575
+    - type: mrr
+      value: 72.66796376907179
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 74.12337662337661
+    - type: f1
+      value: 73.12122145084057
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 34.72513663347855
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 29.280150859689826
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.787
+    - type: map_at_10
+      value: 30.409000000000002
+    - type: map_at_100
+      value: 31.947
+    - type: map_at_1000
+      value: 32.09
+    - type: map_at_3
+      value: 27.214
+    - type: map_at_5
+      value: 28.810999999999996
+    - type: mrr_at_1
+      value: 27.039
+    - type: mrr_at_10
+      value: 35.581
+    - type: mrr_at_100
+      value: 36.584
+    - type: mrr_at_1000
+      value: 36.645
+    - type: mrr_at_3
+      value: 32.713
+    - type: mrr_at_5
+      value: 34.272999999999996
+    - type: ndcg_at_1
+      value: 27.039
+    - type: ndcg_at_10
+      value: 36.157000000000004
+    - type: ndcg_at_100
+      value: 42.598
+    - type: ndcg_at_1000
+      value: 45.207
+    - type: ndcg_at_3
+      value: 30.907
+    - type: ndcg_at_5
+      value: 33.068
+    - type: precision_at_1
+      value: 27.039
+    - type: precision_at_10
+      value: 7.295999999999999
+    - type: precision_at_100
+      value: 1.303
+    - type: precision_at_1000
+      value: 0.186
+    - type: precision_at_3
+      value: 14.926
+    - type: precision_at_5
+      value: 11.044
+    - type: recall_at_1
+      value: 21.787
+    - type: recall_at_10
+      value: 47.693999999999996
+    - type: recall_at_100
+      value: 75.848
+    - type: recall_at_1000
+      value: 92.713
+    - type: recall_at_3
+      value: 32.92
+    - type: recall_at_5
+      value: 38.794000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.560000000000002
+    - type: map_at_10
+      value: 34.756
+    - type: map_at_100
+      value: 36.169000000000004
+    - type: map_at_1000
+      value: 36.298
+    - type: map_at_3
+      value: 31.592
+    - type: map_at_5
+      value: 33.426
+    - type: mrr_at_1
+      value: 31.274
+    - type: mrr_at_10
+      value: 40.328
+    - type: mrr_at_100
+      value: 41.125
+    - type: mrr_at_1000
+      value: 41.171
+    - type: mrr_at_3
+      value: 37.866
+    - type: mrr_at_5
+      value: 39.299
+    - type: ndcg_at_1
+      value: 31.338
+    - type: ndcg_at_10
+      value: 40.696
+    - type: ndcg_at_100
+      value: 45.922000000000004
+    - type: ndcg_at_1000
+      value: 47.982
+    - type: ndcg_at_3
+      value: 36.116
+    - type: ndcg_at_5
+      value: 38.324000000000005
+    - type: precision_at_1
+      value: 31.338
+    - type: precision_at_10
+      value: 8.083
+    - type: precision_at_100
+      value: 1.4040000000000001
+    - type: precision_at_1000
+      value: 0.189
+    - type: precision_at_3
+      value: 18.089
+    - type: precision_at_5
+      value: 13.159
+    - type: recall_at_1
+      value: 24.560000000000002
+    - type: recall_at_10
+      value: 51.832
+    - type: recall_at_100
+      value: 74.26899999999999
+    - type: recall_at_1000
+      value: 87.331
+    - type: recall_at_3
+      value: 38.086999999999996
+    - type: recall_at_5
+      value: 44.294
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.256999999999998
+    - type: map_at_10
+      value: 38.805
+    - type: map_at_100
+      value: 40.04
+    - type: map_at_1000
+      value: 40.117000000000004
+    - type: map_at_3
+      value: 35.425000000000004
+    - type: map_at_5
+      value: 37.317
+    - type: mrr_at_1
+      value: 31.912000000000003
+    - type: mrr_at_10
+      value: 42.045
+    - type: mrr_at_100
+      value: 42.956
+    - type: mrr_at_1000
+      value: 43.004
+    - type: mrr_at_3
+      value: 39.195
+    - type: mrr_at_5
+      value: 40.866
+    - type: ndcg_at_1
+      value: 31.912000000000003
+    - type: ndcg_at_10
+      value: 44.826
+    - type: ndcg_at_100
+      value: 49.85
+    - type: ndcg_at_1000
+      value: 51.562
+    - type: ndcg_at_3
+      value: 38.845
+    - type: ndcg_at_5
+      value: 41.719
+    - type: precision_at_1
+      value: 31.912000000000003
+    - type: precision_at_10
+      value: 7.768
+    - type: precision_at_100
+      value: 1.115
+    - type: precision_at_1000
+      value: 0.131
+    - type: precision_at_3
+      value: 18.015
+    - type: precision_at_5
+      value: 12.814999999999998
+    - type: recall_at_1
+      value: 27.256999999999998
+    - type: recall_at_10
+      value: 59.611999999999995
+    - type: recall_at_100
+      value: 81.324
+    - type: recall_at_1000
+      value: 93.801
+    - type: recall_at_3
+      value: 43.589
+    - type: recall_at_5
+      value: 50.589
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.588
+    - type: map_at_10
+      value: 22.936999999999998
+    - type: map_at_100
+      value: 24.015
+    - type: map_at_1000
+      value: 24.127000000000002
+    - type: map_at_3
+      value: 20.47
+    - type: map_at_5
+      value: 21.799
+    - type: mrr_at_1
+      value: 16.723
+    - type: mrr_at_10
+      value: 24.448
+    - type: mrr_at_100
+      value: 25.482
+    - type: mrr_at_1000
+      value: 25.568999999999996
+    - type: mrr_at_3
+      value: 21.94
+    - type: mrr_at_5
+      value: 23.386000000000003
+    - type: ndcg_at_1
+      value: 16.723
+    - type: ndcg_at_10
+      value: 27.451999999999998
+    - type: ndcg_at_100
+      value: 33.182
+    - type: ndcg_at_1000
+      value: 36.193999999999996
+    - type: ndcg_at_3
+      value: 22.545
+    - type: ndcg_at_5
+      value: 24.837
+    - type: precision_at_1
+      value: 16.723
+    - type: precision_at_10
+      value: 4.5760000000000005
+    - type: precision_at_100
+      value: 0.7929999999999999
+    - type: precision_at_1000
+      value: 0.11
+    - type: precision_at_3
+      value: 9.944
+    - type: precision_at_5
+      value: 7.321999999999999
+    - type: recall_at_1
+      value: 15.588
+    - type: recall_at_10
+      value: 40.039
+    - type: recall_at_100
+      value: 67.17699999999999
+    - type: recall_at_1000
+      value: 90.181
+    - type: recall_at_3
+      value: 26.663999999999998
+    - type: recall_at_5
+      value: 32.144
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.142999999999999
+    - type: map_at_10
+      value: 18.355
+    - type: map_at_100
+      value: 19.611
+    - type: map_at_1000
+      value: 19.750999999999998
+    - type: map_at_3
+      value: 16.073999999999998
+    - type: map_at_5
+      value: 17.187
+    - type: mrr_at_1
+      value: 15.547
+    - type: mrr_at_10
+      value: 22.615
+    - type: mrr_at_100
+      value: 23.671
+    - type: mrr_at_1000
+      value: 23.759
+    - type: mrr_at_3
+      value: 20.149
+    - type: mrr_at_5
+      value: 21.437
+    - type: ndcg_at_1
+      value: 15.547
+    - type: ndcg_at_10
+      value: 22.985
+    - type: ndcg_at_100
+      value: 29.192
+    - type: ndcg_at_1000
+      value: 32.448
+    - type: ndcg_at_3
+      value: 18.503
+    - type: ndcg_at_5
+      value: 20.322000000000003
+    - type: precision_at_1
+      value: 15.547
+    - type: precision_at_10
+      value: 4.49
+    - type: precision_at_100
+      value: 0.8840000000000001
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 8.872
+    - type: precision_at_5
+      value: 6.741
+    - type: recall_at_1
+      value: 12.142999999999999
+    - type: recall_at_10
+      value: 33.271
+    - type: recall_at_100
+      value: 60.95399999999999
+    - type: recall_at_1000
+      value: 83.963
+    - type: recall_at_3
+      value: 20.645
+    - type: recall_at_5
+      value: 25.34
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.09
+    - type: map_at_10
+      value: 30.220000000000002
+    - type: map_at_100
+      value: 31.741999999999997
+    - type: map_at_1000
+      value: 31.878
+    - type: map_at_3
+      value: 27.455000000000002
+    - type: map_at_5
+      value: 28.808
+    - type: mrr_at_1
+      value: 27.718999999999998
+    - type: mrr_at_10
+      value: 35.476
+    - type: mrr_at_100
+      value: 36.53
+    - type: mrr_at_1000
+      value: 36.602000000000004
+    - type: mrr_at_3
+      value: 33.157
+    - type: mrr_at_5
+      value: 34.36
+    - type: ndcg_at_1
+      value: 27.718999999999998
+    - type: ndcg_at_10
+      value: 35.547000000000004
+    - type: ndcg_at_100
+      value: 42.079
+    - type: ndcg_at_1000
+      value: 44.861000000000004
+    - type: ndcg_at_3
+      value: 30.932
+    - type: ndcg_at_5
+      value: 32.748
+    - type: precision_at_1
+      value: 27.718999999999998
+    - type: precision_at_10
+      value: 6.795
+    - type: precision_at_100
+      value: 1.194
+    - type: precision_at_1000
+      value: 0.163
+    - type: precision_at_3
+      value: 14.758
+    - type: precision_at_5
+      value: 10.549
+    - type: recall_at_1
+      value: 22.09
+    - type: recall_at_10
+      value: 46.357
+    - type: recall_at_100
+      value: 74.002
+    - type: recall_at_1000
+      value: 92.99199999999999
+    - type: recall_at_3
+      value: 33.138
+    - type: recall_at_5
+      value: 38.034
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.904
+    - type: map_at_10
+      value: 25.075999999999997
+    - type: map_at_100
+      value: 26.400000000000002
+    - type: map_at_1000
+      value: 26.525
+    - type: map_at_3
+      value: 22.191
+    - type: map_at_5
+      value: 23.947
+    - type: mrr_at_1
+      value: 21.461
+    - type: mrr_at_10
+      value: 29.614
+    - type: mrr_at_100
+      value: 30.602
+    - type: mrr_at_1000
+      value: 30.677
+    - type: mrr_at_3
+      value: 27.017000000000003
+    - type: mrr_at_5
+      value: 28.626
+    - type: ndcg_at_1
+      value: 21.461
+    - type: ndcg_at_10
+      value: 30.304
+    - type: ndcg_at_100
+      value: 36.521
+    - type: ndcg_at_1000
+      value: 39.366
+    - type: ndcg_at_3
+      value: 25.267
+    - type: ndcg_at_5
+      value: 27.918
+    - type: precision_at_1
+      value: 21.461
+    - type: precision_at_10
+      value: 5.868
+    - type: precision_at_100
+      value: 1.072
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_3
+      value: 12.291
+    - type: precision_at_5
+      value: 9.429
+    - type: recall_at_1
+      value: 16.904
+    - type: recall_at_10
+      value: 41.521
+    - type: recall_at_100
+      value: 68.919
+    - type: recall_at_1000
+      value: 88.852
+    - type: recall_at_3
+      value: 27.733999999999998
+    - type: recall_at_5
+      value: 34.439
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.327916666666667
+    - type: map_at_10
+      value: 26.068
+    - type: map_at_100
+      value: 27.358833333333333
+    - type: map_at_1000
+      value: 27.491583333333335
+    - type: map_at_3
+      value: 23.45508333333333
+    - type: map_at_5
+      value: 24.857916666666664
+    - type: mrr_at_1
+      value: 22.05066666666667
+    - type: mrr_at_10
+      value: 29.805083333333332
+    - type: mrr_at_100
+      value: 30.80283333333333
+    - type: mrr_at_1000
+      value: 30.876166666666666
+    - type: mrr_at_3
+      value: 27.381083333333333
+    - type: mrr_at_5
+      value: 28.72441666666667
+    - type: ndcg_at_1
+      value: 22.056000000000004
+    - type: ndcg_at_10
+      value: 31.029416666666666
+    - type: ndcg_at_100
+      value: 36.90174999999999
+    - type: ndcg_at_1000
+      value: 39.716249999999995
+    - type: ndcg_at_3
+      value: 26.35533333333333
+    - type: ndcg_at_5
+      value: 28.471500000000006
+    - type: precision_at_1
+      value: 22.056000000000004
+    - type: precision_at_10
+      value: 5.7645833333333325
+    - type: precision_at_100
+      value: 1.0406666666666666
+    - type: precision_at_1000
+      value: 0.14850000000000002
+    - type: precision_at_3
+      value: 12.391416666666666
+    - type: precision_at_5
+      value: 9.112499999999999
+    - type: recall_at_1
+      value: 18.327916666666667
+    - type: recall_at_10
+      value: 42.15083333333333
+    - type: recall_at_100
+      value: 68.38666666666666
+    - type: recall_at_1000
+      value: 88.24183333333333
+    - type: recall_at_3
+      value: 29.094416666666667
+    - type: recall_at_5
+      value: 34.48716666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.009
+    - type: map_at_10
+      value: 21.251
+    - type: map_at_100
+      value: 22.337
+    - type: map_at_1000
+      value: 22.455
+    - type: map_at_3
+      value: 19.241
+    - type: map_at_5
+      value: 20.381
+    - type: mrr_at_1
+      value: 17.638
+    - type: mrr_at_10
+      value: 24.184
+    - type: mrr_at_100
+      value: 25.156
+    - type: mrr_at_1000
+      value: 25.239
+    - type: mrr_at_3
+      value: 22.29
+    - type: mrr_at_5
+      value: 23.363999999999997
+    - type: ndcg_at_1
+      value: 17.638
+    - type: ndcg_at_10
+      value: 25.269000000000002
+    - type: ndcg_at_100
+      value: 30.781999999999996
+    - type: ndcg_at_1000
+      value: 33.757
+    - type: ndcg_at_3
+      value: 21.457
+    - type: ndcg_at_5
+      value: 23.293
+    - type: precision_at_1
+      value: 17.638
+    - type: precision_at_10
+      value: 4.294
+    - type: precision_at_100
+      value: 0.771
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 9.815999999999999
+    - type: precision_at_5
+      value: 7.086
+    - type: recall_at_1
+      value: 15.009
+    - type: recall_at_10
+      value: 35.014
+    - type: recall_at_100
+      value: 60.45399999999999
+    - type: recall_at_1000
+      value: 82.416
+    - type: recall_at_3
+      value: 24.131
+    - type: recall_at_5
+      value: 28.846
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.518
+    - type: map_at_10
+      value: 18.226
+    - type: map_at_100
+      value: 19.355
+    - type: map_at_1000
+      value: 19.496
+    - type: map_at_3
+      value: 16.243
+    - type: map_at_5
+      value: 17.288999999999998
+    - type: mrr_at_1
+      value: 15.382000000000001
+    - type: mrr_at_10
+      value: 21.559
+    - type: mrr_at_100
+      value: 22.587
+    - type: mrr_at_1000
+      value: 22.677
+    - type: mrr_at_3
+      value: 19.597
+    - type: mrr_at_5
+      value: 20.585
+    - type: ndcg_at_1
+      value: 15.382000000000001
+    - type: ndcg_at_10
+      value: 22.198
+    - type: ndcg_at_100
+      value: 27.860000000000003
+    - type: ndcg_at_1000
+      value: 31.302999999999997
+    - type: ndcg_at_3
+      value: 18.541
+    - type: ndcg_at_5
+      value: 20.089000000000002
+    - type: precision_at_1
+      value: 15.382000000000001
+    - type: precision_at_10
+      value: 4.178
+    - type: precision_at_100
+      value: 0.8380000000000001
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 8.866999999999999
+    - type: precision_at_5
+      value: 6.476
+    - type: recall_at_1
+      value: 12.518
+    - type: recall_at_10
+      value: 31.036
+    - type: recall_at_100
+      value: 56.727000000000004
+    - type: recall_at_1000
+      value: 81.66799999999999
+    - type: recall_at_3
+      value: 20.610999999999997
+    - type: recall_at_5
+      value: 24.744
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.357
+    - type: map_at_10
+      value: 25.384
+    - type: map_at_100
+      value: 26.640000000000004
+    - type: map_at_1000
+      value: 26.762999999999998
+    - type: map_at_3
+      value: 22.863
+    - type: map_at_5
+      value: 24.197
+    - type: mrr_at_1
+      value: 21.735
+    - type: mrr_at_10
+      value: 29.069
+    - type: mrr_at_100
+      value: 30.119
+    - type: mrr_at_1000
+      value: 30.194
+    - type: mrr_at_3
+      value: 26.663999999999998
+    - type: mrr_at_5
+      value: 27.904
+    - type: ndcg_at_1
+      value: 21.735
+    - type: ndcg_at_10
+      value: 30.153999999999996
+    - type: ndcg_at_100
+      value: 36.262
+    - type: ndcg_at_1000
+      value: 39.206
+    - type: ndcg_at_3
+      value: 25.365
+    - type: ndcg_at_5
+      value: 27.403
+    - type: precision_at_1
+      value: 21.735
+    - type: precision_at_10
+      value: 5.354
+    - type: precision_at_100
+      value: 0.958
+    - type: precision_at_1000
+      value: 0.134
+    - type: precision_at_3
+      value: 11.567
+    - type: precision_at_5
+      value: 8.469999999999999
+    - type: recall_at_1
+      value: 18.357
+    - type: recall_at_10
+      value: 41.205000000000005
+    - type: recall_at_100
+      value: 68.30000000000001
+    - type: recall_at_1000
+      value: 89.294
+    - type: recall_at_3
+      value: 27.969
+    - type: recall_at_5
+      value: 32.989000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.226
+    - type: map_at_10
+      value: 25.766
+    - type: map_at_100
+      value: 27.345000000000002
+    - type: map_at_1000
+      value: 27.575
+    - type: map_at_3
+      value: 22.945999999999998
+    - type: map_at_5
+      value: 24.383
+    - type: mrr_at_1
+      value: 21.542
+    - type: mrr_at_10
+      value: 29.448
+    - type: mrr_at_100
+      value: 30.509999999999998
+    - type: mrr_at_1000
+      value: 30.575000000000003
+    - type: mrr_at_3
+      value: 26.482
+    - type: mrr_at_5
+      value: 28.072999999999997
+    - type: ndcg_at_1
+      value: 21.542
+    - type: ndcg_at_10
+      value: 31.392999999999997
+    - type: ndcg_at_100
+      value: 37.589
+    - type: ndcg_at_1000
+      value: 40.717
+    - type: ndcg_at_3
+      value: 26.179000000000002
+    - type: ndcg_at_5
+      value: 28.557
+    - type: precision_at_1
+      value: 21.542
+    - type: precision_at_10
+      value: 6.462
+    - type: precision_at_100
+      value: 1.415
+    - type: precision_at_1000
+      value: 0.234
+    - type: precision_at_3
+      value: 12.187000000000001
+    - type: precision_at_5
+      value: 9.605
+    - type: recall_at_1
+      value: 18.226
+    - type: recall_at_10
+      value: 42.853
+    - type: recall_at_100
+      value: 70.97200000000001
+    - type: recall_at_1000
+      value: 91.662
+    - type: recall_at_3
+      value: 28.555999999999997
+    - type: recall_at_5
+      value: 34.203
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.495999999999999
+    - type: map_at_10
+      value: 21.631
+    - type: map_at_100
+      value: 22.705000000000002
+    - type: map_at_1000
+      value: 22.823999999999998
+    - type: map_at_3
+      value: 19.747
+    - type: map_at_5
+      value: 20.75
+    - type: mrr_at_1
+      value: 16.636
+    - type: mrr_at_10
+      value: 23.294
+    - type: mrr_at_100
+      value: 24.312
+    - type: mrr_at_1000
+      value: 24.401999999999997
+    - type: mrr_at_3
+      value: 21.503
+    - type: mrr_at_5
+      value: 22.52
+    - type: ndcg_at_1
+      value: 16.636
+    - type: ndcg_at_10
+      value: 25.372
+    - type: ndcg_at_100
+      value: 30.984
+    - type: ndcg_at_1000
+      value: 33.992
+    - type: ndcg_at_3
+      value: 21.607000000000003
+    - type: ndcg_at_5
+      value: 23.380000000000003
+    - type: precision_at_1
+      value: 16.636
+    - type: precision_at_10
+      value: 4.011
+    - type: precision_at_100
+      value: 0.741
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 9.365
+    - type: precision_at_5
+      value: 6.654
+    - type: recall_at_1
+      value: 15.495999999999999
+    - type: recall_at_10
+      value: 35.376000000000005
+    - type: recall_at_100
+      value: 61.694
+    - type: recall_at_1000
+      value: 84.029
+    - type: recall_at_3
+      value: 25.089
+    - type: recall_at_5
+      value: 29.43
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.662
+    - type: map_at_10
+      value: 8.638
+    - type: map_at_100
+      value: 9.86
+    - type: map_at_1000
+      value: 10.032
+    - type: map_at_3
+      value: 6.793
+    - type: map_at_5
+      value: 7.761
+    - type: mrr_at_1
+      value: 10.684000000000001
+    - type: mrr_at_10
+      value: 17.982
+    - type: mrr_at_100
+      value: 19.152
+    - type: mrr_at_1000
+      value: 19.231
+    - type: mrr_at_3
+      value: 15.113999999999999
+    - type: mrr_at_5
+      value: 16.658
+    - type: ndcg_at_1
+      value: 10.684000000000001
+    - type: ndcg_at_10
+      value: 13.483
+    - type: ndcg_at_100
+      value: 19.48
+    - type: ndcg_at_1000
+      value: 23.232
+    - type: ndcg_at_3
+      value: 9.75
+    - type: ndcg_at_5
+      value: 11.208
+    - type: precision_at_1
+      value: 10.684000000000001
+    - type: precision_at_10
+      value: 4.573
+    - type: precision_at_100
+      value: 1.085
+    - type: precision_at_1000
+      value: 0.17600000000000002
+    - type: precision_at_3
+      value: 7.514
+    - type: precision_at_5
+      value: 6.241
+    - type: recall_at_1
+      value: 4.662
+    - type: recall_at_10
+      value: 18.125
+    - type: recall_at_100
+      value: 39.675
+    - type: recall_at_1000
+      value: 61.332
+    - type: recall_at_3
+      value: 9.239
+    - type: recall_at_5
+      value: 12.863
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.869
+    - type: map_at_10
+      value: 8.701
+    - type: map_at_100
+      value: 11.806999999999999
+    - type: map_at_1000
+      value: 12.676000000000002
+    - type: map_at_3
+      value: 6.3100000000000005
+    - type: map_at_5
+      value: 7.471
+    - type: mrr_at_1
+      value: 38.5
+    - type: mrr_at_10
+      value: 48.754
+    - type: mrr_at_100
+      value: 49.544
+    - type: mrr_at_1000
+      value: 49.568
+    - type: mrr_at_3
+      value: 46.167
+    - type: mrr_at_5
+      value: 47.679
+    - type: ndcg_at_1
+      value: 30.5
+    - type: ndcg_at_10
+      value: 22.454
+    - type: ndcg_at_100
+      value: 25.380999999999997
+    - type: ndcg_at_1000
+      value: 31.582
+    - type: ndcg_at_3
+      value: 25.617
+    - type: ndcg_at_5
+      value: 24.254
+    - type: precision_at_1
+      value: 38.5
+    - type: precision_at_10
+      value: 18.4
+    - type: precision_at_100
+      value: 6.02
+    - type: precision_at_1000
+      value: 1.34
+    - type: precision_at_3
+      value: 29.083
+    - type: precision_at_5
+      value: 24.85
+    - type: recall_at_1
+      value: 3.869
+    - type: recall_at_10
+      value: 12.902
+    - type: recall_at_100
+      value: 30.496000000000002
+    - type: recall_at_1000
+      value: 51.066
+    - type: recall_at_3
+      value: 7.396
+    - type: recall_at_5
+      value: 9.852
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 36.705000000000005
+    - type: f1
+      value: 32.72625967901387
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 66.89840000000001
+    - type: ap
+      value: 61.43175045563333
+    - type: f1
+      value: 66.67945656405962
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 89.12676698586411
+    - type: f1
+      value: 88.48426641357668
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 62.61513907888736
+    - type: f1
+      value: 40.96251281624023
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 61.95359784801614
+    - type: f1
+      value: 58.85654625260125
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 70.1983860121049
+    - type: f1
+      value: 68.73455379435487
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.772017072895846
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 30.944581802089044
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.977328237697133
+    - type: mrr
+      value: 32.02612207306447
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 43.08588418858767
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 56.53785276450797
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 81.44882719207659
+    - type: mrr
+      value: 94.71082022552609
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.77821782178218
+    - type: cos_sim_ap
+      value: 93.22909989796688
+    - type: cos_sim_f1
+      value: 88.41778697001035
+    - type: cos_sim_precision
+      value: 91.54175588865097
+    - type: cos_sim_recall
+      value: 85.5
+    - type: dot_accuracy
+      value: 99.77821782178218
+    - type: dot_ap
+      value: 93.2290998979669
+    - type: dot_f1
+      value: 88.41778697001035
+    - type: dot_precision
+      value: 91.54175588865097
+    - type: dot_recall
+      value: 85.5
+    - type: euclidean_accuracy
+      value: 99.77821782178218
+    - type: euclidean_ap
+      value: 93.2290998979669
+    - type: euclidean_f1
+      value: 88.41778697001035
+    - type: euclidean_precision
+      value: 91.54175588865097
+    - type: euclidean_recall
+      value: 85.5
+    - type: manhattan_accuracy
+      value: 99.77524752475247
+    - type: manhattan_ap
+      value: 93.18492132451668
+    - type: manhattan_f1
+      value: 88.19552782111285
+    - type: manhattan_precision
+      value: 91.87432286023835
+    - type: manhattan_recall
+      value: 84.8
+    - type: max_accuracy
+      value: 99.77821782178218
+    - type: max_ap
+      value: 93.2290998979669
+    - type: max_f1
+      value: 88.41778697001035
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 48.225188905490285
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 34.76195959924048
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 48.16986372261003
+    - type: mrr
+      value: 48.7718837535014
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 63.567200000000014
+    - type: ap
+      value: 11.412292644030266
+    - type: f1
+      value: 49.102043399207716
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 51.04414261460101
+    - type: f1
+      value: 51.22880449155832
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 34.35595440606073
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 84.6754485307266
+    - type: cos_sim_ap
+      value: 69.6007143804539
+    - type: cos_sim_f1
+      value: 65.99822312476202
+    - type: cos_sim_precision
+      value: 63.58522866226461
+    - type: cos_sim_recall
+      value: 68.60158311345647
+    - type: dot_accuracy
+      value: 84.6754485307266
+    - type: dot_ap
+      value: 69.60070881520775
+    - type: dot_f1
+      value: 65.99822312476202
+    - type: dot_precision
+      value: 63.58522866226461
+    - type: dot_recall
+      value: 68.60158311345647
+    - type: euclidean_accuracy
+      value: 84.6754485307266
+    - type: euclidean_ap
+      value: 69.60071394457518
+    - type: euclidean_f1
+      value: 65.99822312476202
+    - type: euclidean_precision
+      value: 63.58522866226461
+    - type: euclidean_recall
+      value: 68.60158311345647
+    - type: manhattan_accuracy
+      value: 84.6754485307266
+    - type: manhattan_ap
+      value: 69.57324451019119
+    - type: manhattan_f1
+      value: 65.7235045917101
+    - type: manhattan_precision
+      value: 62.04311152764761
+    - type: manhattan_recall
+      value: 69.86807387862797
+    - type: max_accuracy
+      value: 84.6754485307266
+    - type: max_ap
+      value: 69.6007143804539
+    - type: max_f1
+      value: 65.99822312476202
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.63922847052432
+    - type: cos_sim_ap
+      value: 83.48934190421085
+    - type: cos_sim_f1
+      value: 75.42265503384861
+    - type: cos_sim_precision
+      value: 71.17868124359413
+    - type: cos_sim_recall
+      value: 80.20480443486295
+    - type: dot_accuracy
+      value: 87.63922847052432
+    - type: dot_ap
+      value: 83.4893468701264
+    - type: dot_f1
+      value: 75.42265503384861
+    - type: dot_precision
+      value: 71.17868124359413
+    - type: dot_recall
+      value: 80.20480443486295
+    - type: euclidean_accuracy
+      value: 87.63922847052432
+    - type: euclidean_ap
+      value: 83.48934073168017
+    - type: euclidean_f1
+      value: 75.42265503384861
+    - type: euclidean_precision
+      value: 71.17868124359413
+    - type: euclidean_recall
+      value: 80.20480443486295
+    - type: manhattan_accuracy
+      value: 87.66251406838204
+    - type: manhattan_ap
+      value: 83.46319621504654
+    - type: manhattan_f1
+      value: 75.41883304448297
+    - type: manhattan_precision
+      value: 71.0089747076421
+    - type: manhattan_recall
+      value: 80.41268863566368
+    - type: max_accuracy
+      value: 87.66251406838204
+    - type: max_ap
+      value: 83.4893468701264
+    - type: max_f1
+      value: 75.42265503384861
 ---
+
+
+# {MODEL_NAME}
+
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+<!--- Describe your model here -->
+
+## Usage (Sentence-Transformers)
+
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('{MODEL_NAME}')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+
+
+## Evaluation Results
+
+<!--- Describe how your model was evaluated -->
+
+For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
+
+
+## Training
+The model was trained with the parameters:
+
+**DataLoader**:
+
+`torch.utils.data.dataloader.DataLoader` of length 15607 with parameters:
+```
+{'batch_size': 48, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
+```
+
+**Loss**:
+
+`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
+  ```
+  {'scale': 20.0, 'similarity_fct': 'cos_sim'}
+  ```
+
+Parameters of the fit()-Method:
+```
+{
+    "epochs": 10,
+    "evaluation_steps": 0,
+    "evaluator": "NoneType",
+    "max_grad_norm": 1,
+    "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
+    "optimizer_params": {
+        "lr": 2e-05
+    },
+    "scheduler": "WarmupLinear",
+    "steps_per_epoch": null,
+    "warmup_steps": 1000,
+    "weight_decay": 0.01
+}
+```
+
+
+## Full Model Architecture
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: MPNetModel 
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
+  (2): Normalize()
+)
+```
+
+## Citing & Authors
+
+<!--- Describe where people can find more information -->

config.json

@@ -0,0 +1,24 @@
+{
+  "_name_or_path": "/root/.cache/torch/sentence_transformers/sentence-transformers_all-mpnet-base-v1/",
+  "architectures": [
+    "MPNetModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0.dev0",
+  "vocab_size": 30527
+}

config_sentence_transformers.json

@@ -0,0 +1,7 @@
+{
+  "__version__": {
+    "sentence_transformers": "2.0.0",
+    "transformers": "4.6.1",
+    "pytorch": "1.8.1"
+  }
+}

modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6366f25d0260bb5245a595cc2024443cdc6c140a09eb4a21ca2733dd61cd245
+size 210837783

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 512,
+  "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "do_lower_case": true,
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "MPNetTokenizer",
+  "unk_token": "[UNK]"
+}