README.md

metadata

tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:124788
  - loss:GISTEmbedLoss
base_model: BAAI/bge-small-en-v1.5
widget:
  - source_sentence: 其他机械、设备和有形货物租赁服务代表
    sentences:
      - 其他机械和设备租赁服务工作人员
      - 电子和电信设备及零部件物流经理
      - 工业主厨
  - source_sentence: 公交车司机
    sentences:
      - 表演灯光设计师
      - 乙烯基地板安装工
      - 国际巴士司机
  - source_sentence: online communication manager
    sentences:
      - trades union official
      - social media manager
      - budget manager
  - source_sentence: Projektmanagerin
    sentences:
      - Projektmanager/Projektmanagerin
      - Category-Manager
      - Infanterist
  - source_sentence: Volksvertreter
    sentences:
      - Parlamentarier
      - Oberbürgermeister
      - Konsul
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
  - cosine_accuracy@1
  - cosine_accuracy@20
  - cosine_accuracy@50
  - cosine_accuracy@100
  - cosine_accuracy@150
  - cosine_accuracy@200
  - cosine_precision@1
  - cosine_precision@20
  - cosine_precision@50
  - cosine_precision@100
  - cosine_precision@150
  - cosine_precision@200
  - cosine_recall@1
  - cosine_recall@20
  - cosine_recall@50
  - cosine_recall@100
  - cosine_recall@150
  - cosine_recall@200
  - cosine_ndcg@1
  - cosine_ndcg@20
  - cosine_ndcg@50
  - cosine_ndcg@100
  - cosine_ndcg@150
  - cosine_ndcg@200
  - cosine_mrr@1
  - cosine_mrr@20
  - cosine_mrr@50
  - cosine_mrr@100
  - cosine_mrr@150
  - cosine_mrr@200
  - cosine_map@1
  - cosine_map@20
  - cosine_map@50
  - cosine_map@100
  - cosine_map@150
  - cosine_map@200
  - cosine_map@500
model-index:
  - name: SentenceTransformer based on BAAI/bge-small-en-v1.5
    results:
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: full en
          type: full_en
        metrics:
          - type: cosine_accuracy@1
            value: 0.6571428571428571
            name: Cosine Accuracy@1
          - type: cosine_accuracy@20
            value: 0.9904761904761905
            name: Cosine Accuracy@20
          - type: cosine_accuracy@50
            value: 0.9904761904761905
            name: Cosine Accuracy@50
          - type: cosine_accuracy@100
            value: 0.9904761904761905
            name: Cosine Accuracy@100
          - type: cosine_accuracy@150
            value: 0.9904761904761905
            name: Cosine Accuracy@150
          - type: cosine_accuracy@200
            value: 0.9904761904761905
            name: Cosine Accuracy@200
          - type: cosine_precision@1
            value: 0.6571428571428571
            name: Cosine Precision@1
          - type: cosine_precision@20
            value: 0.5023809523809524
            name: Cosine Precision@20
          - type: cosine_precision@50
            value: 0.30800000000000005
            name: Cosine Precision@50
          - type: cosine_precision@100
            value: 0.18628571428571428
            name: Cosine Precision@100
          - type: cosine_precision@150
            value: 0.1321904761904762
            name: Cosine Precision@150
          - type: cosine_precision@200
            value: 0.10295238095238096
            name: Cosine Precision@200
          - type: cosine_recall@1
            value: 0.0680237860830842
            name: Cosine Recall@1
          - type: cosine_recall@20
            value: 0.5384852963395483
            name: Cosine Recall@20
          - type: cosine_recall@50
            value: 0.7260449077992874
            name: Cosine Recall@50
          - type: cosine_recall@100
            value: 0.8328530702930984
            name: Cosine Recall@100
          - type: cosine_recall@150
            value: 0.8745262490032277
            name: Cosine Recall@150
          - type: cosine_recall@200
            value: 0.9056960100263424
            name: Cosine Recall@200
          - type: cosine_ndcg@1
            value: 0.6571428571428571
            name: Cosine Ndcg@1
          - type: cosine_ndcg@20
            value: 0.6845256340390302
            name: Cosine Ndcg@20
          - type: cosine_ndcg@50
            value: 0.7040452093638513
            name: Cosine Ndcg@50
          - type: cosine_ndcg@100
            value: 0.758935932285001
            name: Cosine Ndcg@100
          - type: cosine_ndcg@150
            value: 0.7774414598948007
            name: Cosine Ndcg@150
          - type: cosine_ndcg@200
            value: 0.7892946240668293
            name: Cosine Ndcg@200
          - type: cosine_mrr@1
            value: 0.6571428571428571
            name: Cosine Mrr@1
          - type: cosine_mrr@20
            value: 0.8103174603174604
            name: Cosine Mrr@20
          - type: cosine_mrr@50
            value: 0.8103174603174604
            name: Cosine Mrr@50
          - type: cosine_mrr@100
            value: 0.8103174603174604
            name: Cosine Mrr@100
          - type: cosine_mrr@150
            value: 0.8103174603174604
            name: Cosine Mrr@150
          - type: cosine_mrr@200
            value: 0.8103174603174604
            name: Cosine Mrr@200
          - type: cosine_map@1
            value: 0.6571428571428571
            name: Cosine Map@1
          - type: cosine_map@20
            value: 0.5418235787800474
            name: Cosine Map@20
          - type: cosine_map@50
            value: 0.5327215779103721
            name: Cosine Map@50
          - type: cosine_map@100
            value: 0.565706253334091
            name: Cosine Map@100
          - type: cosine_map@150
            value: 0.5733951147399983
            name: Cosine Map@150
          - type: cosine_map@200
            value: 0.5771587776237981
            name: Cosine Map@200
          - type: cosine_map@500
            value: 0.5813892452974444
            name: Cosine Map@500
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: full es
          type: full_es
        metrics:
          - type: cosine_accuracy@1
            value: 0.12432432432432433
            name: Cosine Accuracy@1
          - type: cosine_accuracy@20
            value: 1
            name: Cosine Accuracy@20
          - type: cosine_accuracy@50
            value: 1
            name: Cosine Accuracy@50
          - type: cosine_accuracy@100
            value: 1
            name: Cosine Accuracy@100
          - type: cosine_accuracy@150
            value: 1
            name: Cosine Accuracy@150
          - type: cosine_accuracy@200
            value: 1
            name: Cosine Accuracy@200
          - type: cosine_precision@1
            value: 0.12432432432432433
            name: Cosine Precision@1
          - type: cosine_precision@20
            value: 0.4897297297297297
            name: Cosine Precision@20
          - type: cosine_precision@50
            value: 0.31794594594594594
            name: Cosine Precision@50
          - type: cosine_precision@100
            value: 0.19864864864864865
            name: Cosine Precision@100
          - type: cosine_precision@150
            value: 0.14688288288288287
            name: Cosine Precision@150
          - type: cosine_precision@200
            value: 0.11789189189189188
            name: Cosine Precision@200
          - type: cosine_recall@1
            value: 0.003111544931768446
            name: Cosine Recall@1
          - type: cosine_recall@20
            value: 0.32208664960961075
            name: Cosine Recall@20
          - type: cosine_recall@50
            value: 0.46383117404893587
            name: Cosine Recall@50
          - type: cosine_recall@100
            value: 0.5437537828683688
            name: Cosine Recall@100
          - type: cosine_recall@150
            value: 0.5824968655076911
            name: Cosine Recall@150
          - type: cosine_recall@200
            value: 0.6146962508233631
            name: Cosine Recall@200
          - type: cosine_ndcg@1
            value: 0.12432432432432433
            name: Cosine Ndcg@1
          - type: cosine_ndcg@20
            value: 0.5384577730264963
            name: Cosine Ndcg@20
          - type: cosine_ndcg@50
            value: 0.5012455261232941
            name: Cosine Ndcg@50
          - type: cosine_ndcg@100
            value: 0.5147486871284331
            name: Cosine Ndcg@100
          - type: cosine_ndcg@150
            value: 0.5348194013794069
            name: Cosine Ndcg@150
          - type: cosine_ndcg@200
            value: 0.5505397598095297
            name: Cosine Ndcg@200
          - type: cosine_mrr@1
            value: 0.12432432432432433
            name: Cosine Mrr@1
          - type: cosine_mrr@20
            value: 0.5515015015015016
            name: Cosine Mrr@20
          - type: cosine_mrr@50
            value: 0.5515015015015016
            name: Cosine Mrr@50
          - type: cosine_mrr@100
            value: 0.5515015015015016
            name: Cosine Mrr@100
          - type: cosine_mrr@150
            value: 0.5515015015015016
            name: Cosine Mrr@150
          - type: cosine_mrr@200
            value: 0.5515015015015016
            name: Cosine Mrr@200
          - type: cosine_map@1
            value: 0.12432432432432433
            name: Cosine Map@1
          - type: cosine_map@20
            value: 0.40280623036556984
            name: Cosine Map@20
          - type: cosine_map@50
            value: 0.3421710529569103
            name: Cosine Map@50
          - type: cosine_map@100
            value: 0.33947884152876345
            name: Cosine Map@100
          - type: cosine_map@150
            value: 0.34777364049184706
            name: Cosine Map@150
          - type: cosine_map@200
            value: 0.35339765423089375
            name: Cosine Map@200
          - type: cosine_map@500
            value: 0.3631043007370563
            name: Cosine Map@500
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: full de
          type: full_de
        metrics:
          - type: cosine_accuracy@1
            value: 0.2955665024630542
            name: Cosine Accuracy@1
          - type: cosine_accuracy@20
            value: 0.9211822660098522
            name: Cosine Accuracy@20
          - type: cosine_accuracy@50
            value: 0.9655172413793104
            name: Cosine Accuracy@50
          - type: cosine_accuracy@100
            value: 0.9753694581280788
            name: Cosine Accuracy@100
          - type: cosine_accuracy@150
            value: 0.9852216748768473
            name: Cosine Accuracy@150
          - type: cosine_accuracy@200
            value: 0.9852216748768473
            name: Cosine Accuracy@200
          - type: cosine_precision@1
            value: 0.2955665024630542
            name: Cosine Precision@1
          - type: cosine_precision@20
            value: 0.4246305418719211
            name: Cosine Precision@20
          - type: cosine_precision@50
            value: 0.2813793103448276
            name: Cosine Precision@50
          - type: cosine_precision@100
            value: 0.1800985221674877
            name: Cosine Precision@100
          - type: cosine_precision@150
            value: 0.1362233169129721
            name: Cosine Precision@150
          - type: cosine_precision@200
            value: 0.11054187192118226
            name: Cosine Precision@200
          - type: cosine_recall@1
            value: 0.01108543831680986
            name: Cosine Recall@1
          - type: cosine_recall@20
            value: 0.26139377973111655
            name: Cosine Recall@20
          - type: cosine_recall@50
            value: 0.3835171819041212
            name: Cosine Recall@50
          - type: cosine_recall@100
            value: 0.4676892706124872
            name: Cosine Recall@100
          - type: cosine_recall@150
            value: 0.5183014504752351
            name: Cosine Recall@150
          - type: cosine_recall@200
            value: 0.551717511250073
            name: Cosine Recall@200
          - type: cosine_ndcg@1
            value: 0.2955665024630542
            name: Cosine Ndcg@1
          - type: cosine_ndcg@20
            value: 0.4600580109269636
            name: Cosine Ndcg@20
          - type: cosine_ndcg@50
            value: 0.4229190542750304
            name: Cosine Ndcg@50
          - type: cosine_ndcg@100
            value: 0.4370543021366767
            name: Cosine Ndcg@100
          - type: cosine_ndcg@150
            value: 0.46289045418097646
            name: Cosine Ndcg@150
          - type: cosine_ndcg@200
            value: 0.4796711024513544
            name: Cosine Ndcg@200
          - type: cosine_mrr@1
            value: 0.2955665024630542
            name: Cosine Mrr@1
          - type: cosine_mrr@20
            value: 0.48958320005117995
            name: Cosine Mrr@20
          - type: cosine_mrr@50
            value: 0.49093477998292195
            name: Cosine Mrr@50
          - type: cosine_mrr@100
            value: 0.4910841931964832
            name: Cosine Mrr@100
          - type: cosine_mrr@150
            value: 0.4911623560854821
            name: Cosine Mrr@150
          - type: cosine_mrr@200
            value: 0.4911623560854821
            name: Cosine Mrr@200
          - type: cosine_map@1
            value: 0.2955665024630542
            name: Cosine Map@1
          - type: cosine_map@20
            value: 0.32364842421740225
            name: Cosine Map@20
          - type: cosine_map@50
            value: 0.2643813390551392
            name: Cosine Map@50
          - type: cosine_map@100
            value: 0.2576413544507463
            name: Cosine Map@100
          - type: cosine_map@150
            value: 0.2669126239698539
            name: Cosine Map@150
          - type: cosine_map@200
            value: 0.27215799504041416
            name: Cosine Map@200
          - type: cosine_map@500
            value: 0.28329484592874316
            name: Cosine Map@500
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: full zh
          type: full_zh
        metrics:
          - type: cosine_accuracy@1
            value: 0.34951456310679613
            name: Cosine Accuracy@1
          - type: cosine_accuracy@20
            value: 0.7378640776699029
            name: Cosine Accuracy@20
          - type: cosine_accuracy@50
            value: 0.8252427184466019
            name: Cosine Accuracy@50
          - type: cosine_accuracy@100
            value: 0.8543689320388349
            name: Cosine Accuracy@100
          - type: cosine_accuracy@150
            value: 0.9029126213592233
            name: Cosine Accuracy@150
          - type: cosine_accuracy@200
            value: 0.941747572815534
            name: Cosine Accuracy@200
          - type: cosine_precision@1
            value: 0.34951456310679613
            name: Cosine Precision@1
          - type: cosine_precision@20
            value: 0.17330097087378643
            name: Cosine Precision@20
          - type: cosine_precision@50
            value: 0.09436893203883494
            name: Cosine Precision@50
          - type: cosine_precision@100
            value: 0.05893203883495146
            name: Cosine Precision@100
          - type: cosine_precision@150
            value: 0.0458252427184466
            name: Cosine Precision@150
          - type: cosine_precision@200
            value: 0.03854368932038834
            name: Cosine Precision@200
          - type: cosine_recall@1
            value: 0.02726635297033844
            name: Cosine Recall@1
          - type: cosine_recall@20
            value: 0.17661061398990294
            name: Cosine Recall@20
          - type: cosine_recall@50
            value: 0.2392861843604663
            name: Cosine Recall@50
          - type: cosine_recall@100
            value: 0.2862639658547104
            name: Cosine Recall@100
          - type: cosine_recall@150
            value: 0.3286954340443375
            name: Cosine Recall@150
          - type: cosine_recall@200
            value: 0.3630829587412431
            name: Cosine Recall@200
          - type: cosine_ndcg@1
            value: 0.34951456310679613
            name: Cosine Ndcg@1
          - type: cosine_ndcg@20
            value: 0.24683538489164747
            name: Cosine Ndcg@20
          - type: cosine_ndcg@50
            value: 0.23936442282824424
            name: Cosine Ndcg@50
          - type: cosine_ndcg@100
            value: 0.2618891246293786
            name: Cosine Ndcg@100
          - type: cosine_ndcg@150
            value: 0.27867525817923894
            name: Cosine Ndcg@150
          - type: cosine_ndcg@200
            value: 0.29190260238165355
            name: Cosine Ndcg@200
          - type: cosine_mrr@1
            value: 0.34951456310679613
            name: Cosine Mrr@1
          - type: cosine_mrr@20
            value: 0.44845699819699636
            name: Cosine Mrr@20
          - type: cosine_mrr@50
            value: 0.4514515915598798
            name: Cosine Mrr@50
          - type: cosine_mrr@100
            value: 0.451864194979824
            name: Cosine Mrr@100
          - type: cosine_mrr@150
            value: 0.4522894025156287
            name: Cosine Mrr@150
          - type: cosine_mrr@200
            value: 0.45250948321580986
            name: Cosine Mrr@200
          - type: cosine_map@1
            value: 0.34951456310679613
            name: Cosine Map@1
          - type: cosine_map@20
            value: 0.1470309927546457
            name: Cosine Map@20
          - type: cosine_map@50
            value: 0.12671489844037503
            name: Cosine Map@50
          - type: cosine_map@100
            value: 0.13257859039926595
            name: Cosine Map@100
          - type: cosine_map@150
            value: 0.13523273342027425
            name: Cosine Map@150
          - type: cosine_map@200
            value: 0.13679857663871084
            name: Cosine Map@200
          - type: cosine_map@500
            value: 0.14069476480399515
            name: Cosine Map@500
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: mix es
          type: mix_es
        metrics:
          - type: cosine_accuracy@1
            value: 0.41133645345813835
            name: Cosine Accuracy@1
          - type: cosine_accuracy@20
            value: 0.7613104524180967
            name: Cosine Accuracy@20
          - type: cosine_accuracy@50
            value: 0.8523140925637025
            name: Cosine Accuracy@50
          - type: cosine_accuracy@100
            value: 0.9121164846593863
            name: Cosine Accuracy@100
          - type: cosine_accuracy@150
            value: 0.9417576703068122
            name: Cosine Accuracy@150
          - type: cosine_accuracy@200
            value: 0.9547581903276131
            name: Cosine Accuracy@200
          - type: cosine_precision@1
            value: 0.41133645345813835
            name: Cosine Precision@1
          - type: cosine_precision@20
            value: 0.08920956838273532
            name: Cosine Precision@20
          - type: cosine_precision@50
            value: 0.04175767030681228
            name: Cosine Precision@50
          - type: cosine_precision@100
            value: 0.02291731669266771
            name: Cosine Precision@100
          - type: cosine_precision@150
            value: 0.015905702894782457
            name: Cosine Precision@150
          - type: cosine_precision@200
            value: 0.012243889755590227
            name: Cosine Precision@200
          - type: cosine_recall@1
            value: 0.15653988064284477
            name: Cosine Recall@1
          - type: cosine_recall@20
            value: 0.6593678032835598
            name: Cosine Recall@20
          - type: cosine_recall@50
            value: 0.7704838669737266
            name: Cosine Recall@50
          - type: cosine_recall@100
            value: 0.847169601069757
            name: Cosine Recall@100
          - type: cosine_recall@150
            value: 0.8825483495530297
            name: Cosine Recall@150
          - type: cosine_recall@200
            value: 0.9050999182824455
            name: Cosine Recall@200
          - type: cosine_ndcg@1
            value: 0.41133645345813835
            name: Cosine Ndcg@1
          - type: cosine_ndcg@20
            value: 0.5116672519515115
            name: Cosine Ndcg@20
          - type: cosine_ndcg@50
            value: 0.542000920569141
            name: Cosine Ndcg@50
          - type: cosine_ndcg@100
            value: 0.558759964344595
            name: Cosine Ndcg@100
          - type: cosine_ndcg@150
            value: 0.5655977162199296
            name: Cosine Ndcg@150
          - type: cosine_ndcg@200
            value: 0.5697289878952349
            name: Cosine Ndcg@200
          - type: cosine_mrr@1
            value: 0.41133645345813835
            name: Cosine Mrr@1
          - type: cosine_mrr@20
            value: 0.4978677179556957
            name: Cosine Mrr@20
          - type: cosine_mrr@50
            value: 0.5009543893008301
            name: Cosine Mrr@50
          - type: cosine_mrr@100
            value: 0.5018183607581652
            name: Cosine Mrr@100
          - type: cosine_mrr@150
            value: 0.5020589846475842
            name: Cosine Mrr@150
          - type: cosine_mrr@200
            value: 0.5021321446410069
            name: Cosine Mrr@200
          - type: cosine_map@1
            value: 0.41133645345813835
            name: Cosine Map@1
          - type: cosine_map@20
            value: 0.4263681424556441
            name: Cosine Map@20
          - type: cosine_map@50
            value: 0.4338209025376249
            name: Cosine Map@50
          - type: cosine_map@100
            value: 0.4359939776007631
            name: Cosine Map@100
          - type: cosine_map@150
            value: 0.43656970643226983
            name: Cosine Map@150
          - type: cosine_map@200
            value: 0.4368426702726571
            name: Cosine Map@200
          - type: cosine_map@500
            value: 0.43729529920887905
            name: Cosine Map@500
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: mix de
          type: mix_de
        metrics:
          - type: cosine_accuracy@1
            value: 0.29433177327093085
            name: Cosine Accuracy@1
          - type: cosine_accuracy@20
            value: 0.6500260010400416
            name: Cosine Accuracy@20
          - type: cosine_accuracy@50
            value: 0.7607904316172647
            name: Cosine Accuracy@50
          - type: cosine_accuracy@100
            value: 0.8507540301612064
            name: Cosine Accuracy@100
          - type: cosine_accuracy@150
            value: 0.889755590223609
            name: Cosine Accuracy@150
          - type: cosine_accuracy@200
            value: 0.9204368174726989
            name: Cosine Accuracy@200
          - type: cosine_precision@1
            value: 0.29433177327093085
            name: Cosine Precision@1
          - type: cosine_precision@20
            value: 0.07308892355694228
            name: Cosine Precision@20
          - type: cosine_precision@50
            value: 0.036141445657826315
            name: Cosine Precision@50
          - type: cosine_precision@100
            value: 0.020634425377015084
            name: Cosine Precision@100
          - type: cosine_precision@150
            value: 0.014681920610157736
            name: Cosine Precision@150
          - type: cosine_precision@200
            value: 0.011552262090483621
            name: Cosine Precision@200
          - type: cosine_recall@1
            value: 0.1109031027907783
            name: Cosine Recall@1
          - type: cosine_recall@20
            value: 0.534356040908303
            name: Cosine Recall@20
          - type: cosine_recall@50
            value: 0.6584676720402148
            name: Cosine Recall@50
          - type: cosine_recall@100
            value: 0.752470098803952
            name: Cosine Recall@100
          - type: cosine_recall@150
            value: 0.8025567689374241
            name: Cosine Recall@150
          - type: cosine_recall@200
            value: 0.8417663373201595
            name: Cosine Recall@200
          - type: cosine_ndcg@1
            value: 0.29433177327093085
            name: Cosine Ndcg@1
          - type: cosine_ndcg@20
            value: 0.3919428679123834
            name: Cosine Ndcg@20
          - type: cosine_ndcg@50
            value: 0.425599899100406
            name: Cosine Ndcg@50
          - type: cosine_ndcg@100
            value: 0.4462421162922913
            name: Cosine Ndcg@100
          - type: cosine_ndcg@150
            value: 0.45606402272845137
            name: Cosine Ndcg@150
          - type: cosine_ndcg@200
            value: 0.4632312746623382
            name: Cosine Ndcg@200
          - type: cosine_mrr@1
            value: 0.29433177327093085
            name: Cosine Mrr@1
          - type: cosine_mrr@20
            value: 0.37785395494554963
            name: Cosine Mrr@20
          - type: cosine_mrr@50
            value: 0.38148321196953044
            name: Cosine Mrr@50
          - type: cosine_mrr@100
            value: 0.38274724688611994
            name: Cosine Mrr@100
          - type: cosine_mrr@150
            value: 0.3830666241433367
            name: Cosine Mrr@150
          - type: cosine_mrr@200
            value: 0.3832429794087988
            name: Cosine Mrr@200
          - type: cosine_map@1
            value: 0.29433177327093085
            name: Cosine Map@1
          - type: cosine_map@20
            value: 0.3096720133634083
            name: Cosine Map@20
          - type: cosine_map@50
            value: 0.31740714963039135
            name: Cosine Map@50
          - type: cosine_map@100
            value: 0.31992557448195186
            name: Cosine Map@100
          - type: cosine_map@150
            value: 0.3207379270967634
            name: Cosine Map@150
          - type: cosine_map@200
            value: 0.3211962807999124
            name: Cosine Map@200
          - type: cosine_map@500
            value: 0.3219246841517722
            name: Cosine Map@500
      - task:
          type: information-retrieval
          name: Information Retrieval
        dataset:
          name: mix zh
          type: mix_zh
        metrics:
          - type: cosine_accuracy@1
            value: 0.09707724425887265
            name: Cosine Accuracy@1
          - type: cosine_accuracy@20
            value: 0.3585594989561587
            name: Cosine Accuracy@20
          - type: cosine_accuracy@50
            value: 0.4900835073068894
            name: Cosine Accuracy@50
          - type: cosine_accuracy@100
            value: 0.6002087682672234
            name: Cosine Accuracy@100
          - type: cosine_accuracy@150
            value: 0.6612734864300627
            name: Cosine Accuracy@150
          - type: cosine_accuracy@200
            value: 0.7061586638830898
            name: Cosine Accuracy@200
          - type: cosine_precision@1
            value: 0.09707724425887265
            name: Cosine Precision@1
          - type: cosine_precision@20
            value: 0.03144572025052192
            name: Cosine Precision@20
          - type: cosine_precision@50
            value: 0.018486430062630482
            name: Cosine Precision@50
          - type: cosine_precision@100
            value: 0.011612734864300627
            name: Cosine Precision@100
          - type: cosine_precision@150
            value: 0.008688239387613084
            name: Cosine Precision@150
          - type: cosine_precision@200
            value: 0.007132045929018789
            name: Cosine Precision@200
          - type: cosine_recall@1
            value: 0.032868575405109846
            name: Cosine Recall@1
          - type: cosine_recall@20
            value: 0.20912118500845014
            name: Cosine Recall@20
          - type: cosine_recall@50
            value: 0.305353414852371
            name: Cosine Recall@50
          - type: cosine_recall@100
            value: 0.3834696126188819
            name: Cosine Recall@100
          - type: cosine_recall@150
            value: 0.43087740663419155
            name: Cosine Recall@150
          - type: cosine_recall@200
            value: 0.4714567385757365
            name: Cosine Recall@200
          - type: cosine_ndcg@1
            value: 0.09707724425887265
            name: Cosine Ndcg@1
          - type: cosine_ndcg@20
            value: 0.13847583254619214
            name: Cosine Ndcg@20
          - type: cosine_ndcg@50
            value: 0.16556220177827802
            name: Cosine Ndcg@50
          - type: cosine_ndcg@100
            value: 0.1834871578549362
            name: Cosine Ndcg@100
          - type: cosine_ndcg@150
            value: 0.1930615498205831
            name: Cosine Ndcg@150
          - type: cosine_ndcg@200
            value: 0.20074882110420836
            name: Cosine Ndcg@200
          - type: cosine_mrr@1
            value: 0.09707724425887265
            name: Cosine Mrr@1
          - type: cosine_mrr@20
            value: 0.15220960831749397
            name: Cosine Mrr@20
          - type: cosine_mrr@50
            value: 0.15642354470896513
            name: Cosine Mrr@50
          - type: cosine_mrr@100
            value: 0.1580041495008456
            name: Cosine Mrr@100
          - type: cosine_mrr@150
            value: 0.15850022553236756
            name: Cosine Mrr@150
          - type: cosine_mrr@200
            value: 0.1587557913720219
            name: Cosine Mrr@200
          - type: cosine_map@1
            value: 0.09707724425887265
            name: Cosine Map@1
          - type: cosine_map@20
            value: 0.08751052569766739
            name: Cosine Map@20
          - type: cosine_map@50
            value: 0.09304075210745723
            name: Cosine Map@50
          - type: cosine_map@100
            value: 0.09500635866296525
            name: Cosine Map@100
          - type: cosine_map@150
            value: 0.09570276054684158
            name: Cosine Map@150
          - type: cosine_map@200
            value: 0.09614394028730197
            name: Cosine Map@200
          - type: cosine_map@500
            value: 0.09706713378133278
            name: Cosine Map@500

Job - Job matching BAAI/bge-small-en-v1.5

Top performing model on TalentCLEF 2025 Task A. Use it for multilingual job title matching

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: BAAI/bge-small-en-v1.5
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 384 dimensions
• Similarity Function: Cosine Similarity
• Training Datasets:
  • full_en
  • full_de
  • full_es
  • full_zh
  • mix

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel 
  (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'Volksvertreter',
    'Parlamentarier',
    'Oberbürgermeister',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Evaluation

Metrics

Information Retrieval

• Datasets: full_en, full_es, full_de, full_zh, mix_es, mix_de and mix_zh
• Evaluated with InformationRetrievalEvaluator

Metric	full_en	full_es	full_de	full_zh	mix_es	mix_de	mix_zh
cosine_accuracy@1	0.6571	0.1243	0.2956	0.3495	0.4113	0.2943	0.0971
cosine_accuracy@20	0.9905	1.0	0.9212	0.7379	0.7613	0.65	0.3586
cosine_accuracy@50	0.9905	1.0	0.9655	0.8252	0.8523	0.7608	0.4901
cosine_accuracy@100	0.9905	1.0	0.9754	0.8544	0.9121	0.8508	0.6002
cosine_accuracy@150	0.9905	1.0	0.9852	0.9029	0.9418	0.8898	0.6613
cosine_accuracy@200	0.9905	1.0	0.9852	0.9417	0.9548	0.9204	0.7062
cosine_precision@1	0.6571	0.1243	0.2956	0.3495	0.4113	0.2943	0.0971
cosine_precision@20	0.5024	0.4897	0.4246	0.1733	0.0892	0.0731	0.0314
cosine_precision@50	0.308	0.3179	0.2814	0.0944	0.0418	0.0361	0.0185
cosine_precision@100	0.1863	0.1986	0.1801	0.0589	0.0229	0.0206	0.0116
cosine_precision@150	0.1322	0.1469	0.1362	0.0458	0.0159	0.0147	0.0087
cosine_precision@200	0.103	0.1179	0.1105	0.0385	0.0122	0.0116	0.0071
cosine_recall@1	0.068	0.0031	0.0111	0.0273	0.1565	0.1109	0.0329
cosine_recall@20	0.5385	0.3221	0.2614	0.1766	0.6594	0.5344	0.2091
cosine_recall@50	0.726	0.4638	0.3835	0.2393	0.7705	0.6585	0.3054
cosine_recall@100	0.8329	0.5438	0.4677	0.2863	0.8472	0.7525	0.3835
cosine_recall@150	0.8745	0.5825	0.5183	0.3287	0.8825	0.8026	0.4309
cosine_recall@200	0.9057	0.6147	0.5517	0.3631	0.9051	0.8418	0.4715
cosine_ndcg@1	0.6571	0.1243	0.2956	0.3495	0.4113	0.2943	0.0971
cosine_ndcg@20	0.6845	0.5385	0.4601	0.2468	0.5117	0.3919	0.1385
cosine_ndcg@50	0.704	0.5012	0.4229	0.2394	0.542	0.4256	0.1656
cosine_ndcg@100	0.7589	0.5147	0.4371	0.2619	0.5588	0.4462	0.1835
cosine_ndcg@150	0.7774	0.5348	0.4629	0.2787	0.5656	0.4561	0.1931
cosine_ndcg@200	0.7893	0.5505	0.4797	0.2919	0.5697	0.4632	0.2007
cosine_mrr@1	0.6571	0.1243	0.2956	0.3495	0.4113	0.2943	0.0971
cosine_mrr@20	0.8103	0.5515	0.4896	0.4485	0.4979	0.3779	0.1522
cosine_mrr@50	0.8103	0.5515	0.4909	0.4515	0.501	0.3815	0.1564
cosine_mrr@100	0.8103	0.5515	0.4911	0.4519	0.5018	0.3827	0.158
cosine_mrr@150	0.8103	0.5515	0.4912	0.4523	0.5021	0.3831	0.1585
cosine_mrr@200	0.8103	0.5515	0.4912	0.4525	0.5021	0.3832	0.1588
cosine_map@1	0.6571	0.1243	0.2956	0.3495	0.4113	0.2943	0.0971
cosine_map@20	0.5418	0.4028	0.3236	0.147	0.4264	0.3097	0.0875
cosine_map@50	0.5327	0.3422	0.2644	0.1267	0.4338	0.3174	0.093
cosine_map@100	0.5657	0.3395	0.2576	0.1326	0.436	0.3199	0.095
cosine_map@150	0.5734	0.3478	0.2669	0.1352	0.4366	0.3207	0.0957
cosine_map@200	0.5772	0.3534	0.2722	0.1368	0.4368	0.3212	0.0961
cosine_map@500	0.5814	0.3631	0.2833	0.1407	0.4373	0.3219	0.0971

Training Details

Training Datasets

full_en

full_en

• Dataset: full_en
• Size: 28,880 training samples
• Columns: anchor and positive
• Approximate statistics based on the first 1000 samples:

  	anchor	positive
  type	string	string
  details	min: 3 tokens mean: 5.0 tokens max: 10 tokens	min: 3 tokens mean: 5.01 tokens max: 13 tokens

• Samples:

  anchor	positive
  air commodore	flight lieutenant
  command and control officer	flight officer
  air commodore	command and control officer

• Loss: GISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.01, 'margin_strategy': 'absolute', 'margin': 0.0}
  

full_de

full_de

• Dataset: full_de
• Size: 23,023 training samples
• Columns: anchor and positive
• Approximate statistics based on the first 1000 samples:

  	anchor	positive
  type	string	string
  details	min: 3 tokens mean: 11.05 tokens max: 45 tokens	min: 3 tokens mean: 11.43 tokens max: 45 tokens

• Samples:

  anchor	positive
  Staffelkommandantin	Kommodore
  Luftwaffenoffizierin	Luftwaffenoffizier/Luftwaffenoffizierin
  Staffelkommandantin	Luftwaffenoffizierin

• Loss: GISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.01, 'margin_strategy': 'absolute', 'margin': 0.0}
  

full_es

full_es

• Dataset: full_es
• Size: 20,724 training samples
• Columns: anchor and positive
• Approximate statistics based on the first 1000 samples:

  	anchor	positive
  type	string	string
  details	min: 3 tokens mean: 12.95 tokens max: 50 tokens	min: 3 tokens mean: 12.57 tokens max: 50 tokens

• Samples:

  anchor	positive
  jefe de escuadrón	instructor
  comandante de aeronave	instructor de simulador
  instructor	oficial del Ejército del Aire

• Loss: GISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.01, 'margin_strategy': 'absolute', 'margin': 0.0}
  

full_zh

full_zh

• Dataset: full_zh
• Size: 30,401 training samples
• Columns: anchor and positive
• Approximate statistics based on the first 1000 samples:

  	anchor	positive
  type	string	string
  details	min: 4 tokens mean: 8.36 tokens max: 20 tokens	min: 4 tokens mean: 8.95 tokens max: 27 tokens

• Samples:

  anchor	positive
  技术总监	技术和运营总监
  技术总监	技术主管
  技术总监	技术艺术总监

• Loss: GISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.01, 'margin_strategy': 'absolute', 'margin': 0.0}
  

mix

mix

• Dataset: mix
• Size: 21,760 training samples
• Columns: anchor and positive
• Approximate statistics based on the first 1000 samples:

  	anchor	positive
  type	string	string
  details	min: 2 tokens mean: 5.65 tokens max: 14 tokens	min: 2 tokens mean: 10.08 tokens max: 30 tokens

• Samples:

  anchor	positive
  technical manager	Technischer Direktor für Bühne, Film und Fernsehen
  head of technical	directora técnica
  head of technical department	技术艺术总监

• Loss: GISTEmbedLoss with these parameters:

  {'guide': SentenceTransformer(
    (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel 
    (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
    (2): Normalize()
  ), 'temperature': 0.01, 'margin_strategy': 'absolute', 'margin': 0.0}
  

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy: steps
• per_device_train_batch_size: 128
• per_device_eval_batch_size: 128
• gradient_accumulation_steps: 2
• num_train_epochs: 5
• warmup_ratio: 0.05
• log_on_each_node: False
• fp16: True
• dataloader_num_workers: 4
• ddp_find_unused_parameters: True
• batch_sampler: no_duplicates

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: steps
• prediction_loss_only: True
• per_device_train_batch_size: 128
• per_device_eval_batch_size: 128
• per_gpu_train_batch_size: None
• per_gpu_eval_batch_size: None
• gradient_accumulation_steps: 2
• eval_accumulation_steps: None
• torch_empty_cache_steps: None
• learning_rate: 5e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 5
• max_steps: -1
• lr_scheduler_type: linear
• lr_scheduler_kwargs: {}
• warmup_ratio: 0.05
• warmup_steps: 0
• log_level: passive
• log_level_replica: warning
• log_on_each_node: False
• logging_nan_inf_filter: True
• save_safetensors: True
• save_on_each_node: False
• save_only_model: False
• restore_callback_states_from_checkpoint: False
• no_cuda: False
• use_cpu: False
• use_mps_device: False
• seed: 42
• data_seed: None
• jit_mode_eval: False
• use_ipex: False
• bf16: False
• fp16: True
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• local_rank: 0
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: True
• dataloader_num_workers: 4
• dataloader_prefetch_factor: None
• past_index: -1
• disable_tqdm: False
• remove_unused_columns: True
• label_names: None
• load_best_model_at_end: False
• ignore_data_skip: False
• fsdp: []
• fsdp_min_num_params: 0
• fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
• tp_size: 0
• fsdp_transformer_layer_cls_to_wrap: None
• accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch
• optim_args: None
• adafactor: False
• group_by_length: False
• length_column_name: length
• ddp_find_unused_parameters: True
• ddp_bucket_cap_mb: None
• ddp_broadcast_buffers: False
• dataloader_pin_memory: True
• dataloader_persistent_workers: False
• skip_memory_metrics: True
• use_legacy_prediction_loop: False
• push_to_hub: False
• resume_from_checkpoint: None
• hub_model_id: None
• hub_strategy: every_save
• hub_private_repo: None
• hub_always_push: False
• gradient_checkpointing: False
• gradient_checkpointing_kwargs: None
• include_inputs_for_metrics: False
• include_for_metrics: []
• eval_do_concat_batches: True
• fp16_backend: auto
• push_to_hub_model_id: None
• push_to_hub_organization: None
• mp_parameters:
• auto_find_batch_size: False
• full_determinism: False
• torchdynamo: None
• ray_scope: last
• ddp_timeout: 1800
• torch_compile: False
• torch_compile_backend: None
• torch_compile_mode: None
• include_tokens_per_second: False
• include_num_input_tokens_seen: False
• neftune_noise_alpha: None
• optim_target_modules: None
• batch_eval_metrics: False
• eval_on_start: False
• use_liger_kernel: False
• eval_use_gather_object: False
• average_tokens_across_devices: False
• prompts: None
• batch_sampler: no_duplicates
• multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss	full_en_cosine_ndcg@200	full_es_cosine_ndcg@200	full_de_cosine_ndcg@200	full_zh_cosine_ndcg@200	mix_es_cosine_ndcg@200	mix_de_cosine_ndcg@200	mix_zh_cosine_ndcg@200
-1	-1	-	0.7322	0.4690	0.3853	0.2723	0.3209	0.2244	0.0919
0.0021	1	23.8878	-	-	-	-	-	-	-
0.2058	100	7.2098	-	-	-	-	-	-	-
0.4115	200	4.2635	0.7800	0.5132	0.4268	0.2798	0.4372	0.2996	0.1447
0.6173	300	4.1931	-	-	-	-	-	-	-
0.8230	400	3.73	0.7863	0.5274	0.4451	0.2805	0.4762	0.3455	0.1648
1.0309	500	3.3569	-	-	-	-	-	-	-
1.2366	600	3.6464	0.7868	0.5372	0.4540	0.2813	0.5063	0.3794	0.1755
1.4424	700	3.0772	-	-	-	-	-	-	-
1.6481	800	3.114	0.7906	0.5391	0.4576	0.2832	0.5221	0.4047	0.1779
1.8539	900	2.9246	-	-	-	-	-	-	-
2.0617	1000	2.7479	0.7873	0.5423	0.4631	0.2871	0.5323	0.4143	0.1843
2.2675	1100	3.049	-	-	-	-	-	-	-
2.4733	1200	2.6137	0.7878	0.5418	0.4685	0.2870	0.5470	0.4339	0.1932
2.6790	1300	2.8607	-	-	-	-	-	-	-
2.8848	1400	2.7071	0.7889	0.5465	0.4714	0.2891	0.5504	0.4362	0.1944
3.0926	1500	2.7012	-	-	-	-	-	-	-
3.2984	1600	2.7423	0.7882	0.5471	0.4748	0.2868	0.5542	0.4454	0.1976
3.5041	1700	2.5316	-	-	-	-	-	-	-
3.7099	1800	2.6344	0.7900	0.5498	0.4763	0.2857	0.5639	0.4552	0.1954
3.9156	1900	2.4983	-	-	-	-	-	-	-
4.1235	2000	2.5423	0.7894	0.5499	0.4786	0.2870	0.5644	0.4576	0.1974
4.3292	2100	2.5674	-	-	-	-	-	-	-
4.5350	2200	2.6237	0.7899	0.5502	0.4802	0.2843	0.5674	0.4607	0.1993
4.7407	2300	2.3776	-	-	-	-	-	-	-
4.9465	2400	2.1116	0.7893	0.5505	0.4797	0.2919	0.5697	0.4632	0.2007

Framework Versions

• Python: 3.11.11
• Sentence Transformers: 4.1.0
• Transformers: 4.51.3
• PyTorch: 2.6.0+cu124
• Accelerate: 1.6.0
• Datasets: 3.5.0
• Tokenizers: 0.21.1

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}

GISTEmbedLoss

@misc{solatorio2024gistembed,
    title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},
    author={Aivin V. Solatorio},
    year={2024},
    eprint={2402.16829},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}