README.md

---
base_model: intfloat/multilingual-e5-base
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:58620066
- loss:RZTKMatryoshka2dLoss
widget:
- source_sentence: 'query: чехол на самсунг а30'
  sentences:
  - 'passage: Ключниця Shvigel 13989 Коричнева'
  - 'passage: Ключниці кишенькові Handy Cover Гарантія 1 місяць Колір Рожевий Матеріал
    Шкіра Країна реєстрації бренда Україна Країна-виробник товару Україна Застібка
    Змійка Кріплення ключів Кільце'
  - 'passage: Защитный глянцевый чехол с рисунком для Samsung Galaxy А30 (2019) /
    A305 / А20 (2019) / A205 Планета'
- source_sentence: 'query: мебель для кухни'
  sentences:
  - 'passage: Стілець для кухні та вітальні Примтекс Плюс 1022 black S-3120 Червоний
    (ordf)'
  - 'passage: Повітряні кульки Angel Gifts Гарантія 14 днів Кількість вантажних місць
    1 Країна реєстрації бренда Китай Кількість предметів, шт 7 Країна-виробник товару
    Китай Вид Повітряні кулі Розмір 43 см Розмір 40 х 60 см Розмір 30 см Розмір 40
    см Колір Різнобарвний Матеріал Фольгований поліетилен + латекс Свято День Святого
    Валентина Свято 8 березня Свято День народження Тип гарантійного талона Гарантія
    по чеку Можливість доставки Почтомати Форма Фігурна Особливості Фольговані Доставка
    Premium Доставка Доставка в магазини ROZETKA'
  - 'passage: Ключница кожаная женская Grande Pelle leather-11353 Красная'
- source_sentence: 'query: мебель для кухни'
  sentences:
  - 'passage: Рідина для систем SCR дизельних двигунів (Евро 4,5,6) 1.5 л SHELL AdBLUE'
  - 'passage: Ключница Black Brier КЛ-5-17 Черная'
  - 'passage: Кухонний комплект Злата 2,6м Світ Меблів білий/артвуд світлий (без стільниці)'
- source_sentence: 'query: вращающаяся подставка для торта'
  sentences:
  - 'passage: Штукатурка цементно-вапняна фасадна ПЦШ-017 СІРА ПОЛІПЛАСТ 25 кг'
  - 'passage: Подставка для работы с тортом вращающаяся 28 см Empire(GS - 840021006274)'
  - 'passage: Ключницы карманные Dr.Bond Для кого Для женщин Цвет Черный Материал
    Кожа Застежка Кнопки'
- source_sentence: 'query: мебель для кухни'
  sentences:
  - 'passage: Ключниці кишенькові Karya Гарантія 14 днів Для кого Для жінок Колір
    Червоний Матеріал Шкіра Країна реєстрації бренда Туреччина Країна-виробник товару
    Туреччина'
  - 'passage: Ключница Traum 7203-10 Черная (4820007203107)'
  - 'passage: Кухня Эко модуль Вытяжка 600 Эверест Ясень Шимо Светлый 60х30х28 см'
model-index:
- name: SentenceTransformer based on intfloat/multilingual-e5-base
  results:
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: bm full
      type: bm-full
    metrics:
    - type: dot_accuracy@1
      value: 0.4827586206896552
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.6476293103448276
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.7359913793103449
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.8173491379310345
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.4827586206896552
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.4892241379310345
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.4947198275862069
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.4869612068965517
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.01196127951053177
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.03605252760852524
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.06019059294068119
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.11598568385490053
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.488283085678875
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.581799269636016
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.3625151414171006
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core uk title
      type: core-uk-title
    metrics:
    - type: dot_accuracy@1
      value: 0.6396303901437371
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.8439425051334702
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.9291581108829569
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9784394250513347
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.6396303901437371
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.6379192334017795
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.628952772073922
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.530082135523614
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.06563353437372038
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.1948624447816681
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.3186099953448063
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.524211399868937
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.5917292045236857
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.7568943319970016
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.577288555105118
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core ru title
      type: core-ru-title
    metrics:
    - type: dot_accuracy@1
      value: 0.6427104722792608
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.8562628336755647
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.9332648870636551
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9804928131416838
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.6427104722792608
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.6509240246406571
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.6381930184804928
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.5366529774127311
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.06587922611068522
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.19907130018858485
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.32339221688780817
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.530874137789979
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.5993309407105045
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.7613282650500315
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5856572456385178
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core uk options
      type: core-uk-options
    metrics:
    - type: dot_accuracy@1
      value: 0.5236139630390144
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.7833675564681725
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8716632443531828
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.944558521560575
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.5236139630390144
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.5355920602327173
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.5262833675564682
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.47987679671457906
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.05249346074400429
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.1611742944618292
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.2624932479345754
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.4720126343473064
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.5186376976657447
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6671486424823181
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5240753568505577
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core ru options
      type: core-ru-options
    metrics:
    - type: dot_accuracy@1
      value: 0.5297741273100616
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.7864476386036962
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8706365503080082
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9496919917864476
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.5297741273100616
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.542778918548939
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.5322381930184806
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.48357289527720737
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.053178864642356605
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.16281660405195855
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.2651694123105224
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.47603763442406394
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.5237397019255705
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6739529350412302
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5263587112126676
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: options uk title
      type: options-uk-title
    metrics:
    - type: dot_accuracy@1
      value: 0.7394209354120267
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.9198218262806236
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.9688195991091314
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9933184855233853
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.7394209354120267
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.7319970304380105
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.6993318485523385
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.5371937639198219
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.11383682513972047
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.3360468348775698
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.5288643675057929
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.7693973621033755
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.7458399782711727
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.8359617492134195
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.7239673528662353
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: options ru title
      type: options-ru-title
    metrics:
    - type: dot_accuracy@1
      value: 0.7594654788418709
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.9287305122494433
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.9755011135857461
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9933184855233853
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.7594654788418709
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.7319970304380103
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.7024498886414253
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.5383073496659243
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.11641928351282471
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.3353919404030763
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.5311560562674148
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.7711852858846177
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.7484243182346944
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.8486831406653231
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.7245632175079355
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: options uk options
      type: options-uk-options
    metrics:
    - type: dot_accuracy@1
      value: 0.6458797327394209
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.8485523385300668
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.9042316258351893
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9532293986636972
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.6458797327394209
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.6325167037861915
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.6075723830734967
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.498663697104677
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.09318157714594241
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.27791846238394124
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.44080793618655534
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.6953837612523581
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.6603776998905829
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.7570235443843463
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.6386028228542846
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: options ru options
      type: options-ru-options
    metrics:
    - type: dot_accuracy@1
      value: 0.6614699331848553
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.8374164810690423
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.9064587973273942
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9443207126948775
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.6614699331848553
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.6250927988121753
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.6075723830734966
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.49643652561247215
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.0981715018463348
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.27430911083472326
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.4410510610399252
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.6957284425547232
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.6630836813451363
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.764538480574115
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.6428702846826188
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms uk title
      type: rusisms-uk-title
    metrics:
    - type: dot_accuracy@1
      value: 0.6126984126984127
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.7714285714285715
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8412698412698413
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.8952380952380953
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.6126984126984127
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.6412698412698413
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.6419047619047619
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.6133333333333333
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.04115662469429067
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.11610870769391896
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.18272932988415247
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.3066506749177295
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.6509535118240626
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.7072247417485512
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.578074929897279
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms ru title
      type: rusisms-ru-title
    metrics:
    - type: dot_accuracy@1
      value: 0.6285714285714286
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.7873015873015873
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8380952380952381
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.8857142857142857
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.6285714285714286
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.653968253968254
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.6425396825396825
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.613968253968254
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.04105120240841725
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.11833399716558525
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.1798950327281959
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.30445937907171233
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.653377948809325
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.7161098513479467
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5832421743206123
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms uk options
      type: rusisms-uk-options
    metrics:
    - type: dot_accuracy@1
      value: 0.5079365079365079
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.6698412698412698
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.7206349206349206
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.8063492063492064
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.5079365079365079
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.5291005291005292
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.5244444444444444
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.5161904761904763
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.03812761613753296
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.09585458914506449
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.14535425244930936
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.25808760386865054
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.5477652929333332
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6046926177878558
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5094017339022535
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms ru options
      type: rusisms-ru-options
    metrics:
    - type: dot_accuracy@1
      value: 0.5301587301587302
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.6888888888888889
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.7238095238095238
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.8158730158730159
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.5301587301587302
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.544973544973545
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.532063492063492
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.52
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.03705324868358231
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.10066591339571287
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.14399310107014857
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.2552429072391238
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.553830560979967
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6194784580498864
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5140991489831742
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms_corrected uk title
      type: rusisms_corrected-uk-title
    metrics:
    - type: dot_accuracy@1
      value: 0.7151898734177216
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.8386075949367089
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8924050632911392
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.930379746835443
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.7151898734177216
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.7225738396624471
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.7145569620253165
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.6708860759493671
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.05229951549096141
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.13628810263154228
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.2094355626225765
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.3450674119274602
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.7249288170932883
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.7896486337150894
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.6489892378490031
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms_corrected ru title
      type: rusisms_corrected-ru-title
    metrics:
    - type: dot_accuracy@1
      value: 0.7088607594936709
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.8354430379746836
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8860759493670886
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9240506329113924
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.7088607594936709
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.7183544303797469
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.7132911392405064
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.6693037974683544
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.054619494579519506
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.1336982729528888
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.20932510368124374
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.34684057776104554
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.7231182963024592
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.7835907675306409
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.6508513938167568
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms_corrected uk options
      type: rusisms_corrected-uk-options
    metrics:
    - type: dot_accuracy@1
      value: 0.5981012658227848
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.7436708860759493
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8037974683544303
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.8860759493670886
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.5981012658227848
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.6002109704641351
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.5930379746835444
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.5841772151898735
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.049508481543291766
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.11315434471011722
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.16749351336905563
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.3002699195756294
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.6256595239372265
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6844472071529034
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5872024224481405
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: rusisms_corrected ru options
      type: rusisms_corrected-ru-options
    metrics:
    - type: dot_accuracy@1
      value: 0.6044303797468354
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.759493670886076
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.810126582278481
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.879746835443038
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.6044303797468354
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.6086497890295358
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.6056962025316456
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.5892405063291138
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.04461392111075665
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.11387608742379286
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.176458016456346
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.3010663324138532
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.6303070174627994
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6942849608197708
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.5880961781311048
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core_typos uk title
      type: core_typos-uk-title
    metrics:
    - type: dot_accuracy@1
      value: 0.5441478439425051
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.7679671457905544
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8439425051334702
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9065708418891171
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.5441478439425051
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.5420944558521561
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.5262833675564682
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.4450718685831622
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.056110382149154946
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.1664961752759192
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.2676442430118901
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.4414053568661613
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.4997363861493741
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6683073400475865
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.480769816046975
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core_typos ru title
      type: core_typos-ru-title
    metrics:
    - type: dot_accuracy@1
      value: 0.5595482546201233
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.7618069815195072
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.8490759753593429
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9075975359342916
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.5595482546201233
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.5417522245037646
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.5359342915811088
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.45441478439425054
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.05744649512088213
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.16701602532092327
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.2734833740865569
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.45220967464444944
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.5093355196909074
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.677807926729898
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.4874349469065539
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core_typos uk options
      type: core_typos-uk-options
    metrics:
    - type: dot_accuracy@1
      value: 0.43018480492813144
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.6714579055441479
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.768993839835729
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.8613963039014374
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.43018480492813144
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.4455852156057495
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.435523613963039
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.3972279260780287
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.04330169200020632
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.13518577622938052
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.21866332490502075
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.392688229437082
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.4298071307733926
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.5711397118737975
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.42856816814675947
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: core_typos ru options
      type: core_typos-ru-options
    metrics:
    - type: dot_accuracy@1
      value: 0.44455852156057496
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.686858316221766
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.7618069815195072
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.864476386036961
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.44455852156057496
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.44490075290896636
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.43490759753593433
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.3975359342915811
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.04479658044777624
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.1347644607375553
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.21857062953889264
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.39287477086199757
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.43174916334789476
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.5840165737753005
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.42892229251421876
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'bm full  matryoshka_dim 768  '
      type: bm-full--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.4827586206896552
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.4827586206896552
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.01196127951053177
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.4827586206896552
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.4827586206896552
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.3625151414171006
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'bm full  matryoshka_dim 512  '
      type: bm-full--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.4870689655172414
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.4870689655172414
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.011896454984463846
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.4870689655172414
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.4870689655172414
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.35842482942717774
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'bm full  matryoshka_dim 256  '
      type: bm-full--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.4795258620689655
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.4795258620689655
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.011663234566005438
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.4795258620689655
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.4795258620689655
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.3474817245112194
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'bm full  matryoshka_dim 128  '
      type: bm-full--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.46282327586206895
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.46282327586206895
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.01131212384281547
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.46282327586206895
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.46282327586206895
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.3248272798879951
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk title  matryoshka_dim 768  '
      type: core-uk-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.6396303901437371
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6396303901437371
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.06563353437372038
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.6396303901437371
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6396303901437371
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.577288555105118
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk title  matryoshka_dim 512  '
      type: core-uk-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.6406570841889117
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6406570841889117
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.06587241823683423
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.6406570841889117
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6406570841889117
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5752222679445229
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk title  matryoshka_dim 256  '
      type: core-uk-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.6324435318275154
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6324435318275154
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.06480127755644123
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.6324435318275154
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6324435318275154
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5663053619932218
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk title  matryoshka_dim 128  '
      type: core-uk-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.6149897330595483
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6149897330595483
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.06264395322705504
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.6149897330595483
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6149897330595483
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5484061365065558
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru title  matryoshka_dim 768  '
      type: core-ru-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.6427104722792608
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6427104722792608
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.06587922611068522
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.6427104722792608
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6427104722792608
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5856572456385178
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru title  matryoshka_dim 512  '
      type: core-ru-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.648870636550308
      name: Dot Accuracy@1
    - type: dot_precision@1
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      name: Dot Precision@1
    - type: dot_recall@1
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    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5830145398816737
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru title  matryoshka_dim 256  '
      type: core-ru-title--matryoshka_dim-256--
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    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5732896608635226
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru title  matryoshka_dim 128  '
      type: core-ru-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.6232032854209446
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    - type: dot_precision@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
      value: 0.5559110730601244
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk options  matryoshka_dim 768  '
      type: core-uk-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_precision@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk options  matryoshka_dim 512  '
      type: core-uk-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk options  matryoshka_dim 256  '
      type: core-uk-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core uk options  matryoshka_dim 128  '
      type: core-uk-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru options  matryoshka_dim 768  '
      type: core-ru-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru options  matryoshka_dim 512  '
      type: core-ru-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru options  matryoshka_dim 256  '
      type: core-ru-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core ru options  matryoshka_dim 128  '
      type: core-ru-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk title  matryoshka_dim 768  '
      type: options-uk-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk title  matryoshka_dim 512  '
      type: options-uk-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk title  matryoshka_dim 256  '
      type: options-uk-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk title  matryoshka_dim 128  '
      type: options-uk-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru title  matryoshka_dim 768  '
      type: options-ru-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru title  matryoshka_dim 512  '
      type: options-ru-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru title  matryoshka_dim 256  '
      type: options-ru-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru title  matryoshka_dim 128  '
      type: options-ru-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.7238307349665924
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk options  matryoshka_dim 768  '
      type: options-uk-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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      name: Dot Accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk options  matryoshka_dim 512  '
      type: options-uk-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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      name: Dot Accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk options  matryoshka_dim 256  '
      type: options-uk-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options uk options  matryoshka_dim 128  '
      type: options-uk-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.6458797327394209
      name: Dot Accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru options  matryoshka_dim 768  '
      type: options-ru-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.6614699331848553
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru options  matryoshka_dim 512  '
      type: options-ru-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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      name: Dot Mrr@1
    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru options  matryoshka_dim 256  '
      type: options-ru-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.6391982182628062
      name: Dot Accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.629344320618109
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'options ru options  matryoshka_dim 128  '
      type: options-ru-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.6347438752783965
      name: Dot Accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.6091667980283396
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk title  matryoshka_dim 768  '
      type: rusisms-uk-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.6126984126984127
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6126984126984127
      name: Dot Precision@1
    - type: dot_recall@1
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      name: Dot Recall@1
    - type: dot_ndcg@1
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      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6126984126984127
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.578074929897279
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk title  matryoshka_dim 512  '
      type: rusisms-uk-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.6158730158730159
      name: Dot Accuracy@1
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      value: 0.6158730158730159
      name: Dot Precision@1
    - type: dot_recall@1
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      name: Dot Recall@1
    - type: dot_ndcg@1
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      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6158730158730159
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5704781509386151
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk title  matryoshka_dim 256  '
      type: rusisms-uk-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6285714285714286
      name: Dot Precision@1
    - type: dot_recall@1
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    - type: dot_ndcg@1
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      name: Dot Ndcg@1
    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5604494626815789
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk title  matryoshka_dim 128  '
      type: rusisms-uk-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.5873015873015873
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    - type: dot_precision@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
      value: 0.5398720823741916
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru title  matryoshka_dim 768  '
      type: rusisms-ru-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.6285714285714286
      name: Dot Accuracy@1
    - type: dot_precision@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru title  matryoshka_dim 512  '
      type: rusisms-ru-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_precision@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru title  matryoshka_dim 256  '
      type: rusisms-ru-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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      name: Dot Accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru title  matryoshka_dim 128  '
      type: rusisms-ru-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk options  matryoshka_dim 768  '
      type: rusisms-uk-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk options  matryoshka_dim 512  '
      type: rusisms-uk-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk options  matryoshka_dim 256  '
      type: rusisms-uk-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms uk options  matryoshka_dim 128  '
      type: rusisms-uk-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru options  matryoshka_dim 768  '
      type: rusisms-ru-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru options  matryoshka_dim 512  '
      type: rusisms-ru-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru options  matryoshka_dim 256  '
      type: rusisms-ru-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_mrr@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms ru options  matryoshka_dim 128  '
      type: rusisms-ru-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk title  matryoshka_dim 768  '
      type: rusisms_corrected-uk-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk title  matryoshka_dim 512  '
      type: rusisms_corrected-uk-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk title  matryoshka_dim 256  '
      type: rusisms_corrected-uk-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk title  matryoshka_dim 128  '
      type: rusisms_corrected-uk-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_recall@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru title  matryoshka_dim 768  '
      type: rusisms_corrected-ru-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru title  matryoshka_dim 512  '
      type: rusisms_corrected-ru-title--matryoshka_dim-512--
    metrics:
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru title  matryoshka_dim 256  '
      type: rusisms_corrected-ru-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru title  matryoshka_dim 128  '
      type: rusisms_corrected-ru-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk options  matryoshka_dim 768  '
      type: rusisms_corrected-uk-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk options  matryoshka_dim 512  '
      type: rusisms_corrected-uk-options--matryoshka_dim-512--
    metrics:
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk options  matryoshka_dim 256  '
      type: rusisms_corrected-uk-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
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    - type: dot_map@100
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected uk options  matryoshka_dim 128  '
      type: rusisms_corrected-uk-options--matryoshka_dim-128--
    metrics:
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    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5764316618592495
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  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru options  matryoshka_dim 768  '
      type: rusisms_corrected-ru-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.6044303797468354
      name: Dot Accuracy@1
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      name: Dot Precision@1
    - type: dot_recall@1
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    - type: dot_mrr@1
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      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5880961781311048
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru options  matryoshka_dim 512  '
      type: rusisms_corrected-ru-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
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      name: Dot Accuracy@1
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    - type: dot_recall@1
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      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6044303797468354
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.586453798418227
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru options  matryoshka_dim 256  '
      type: rusisms_corrected-ru-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.6329113924050633
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6329113924050633
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.045180216259829944
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.6329113924050633
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6329113924050633
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5861453209430655
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'rusisms_corrected ru options  matryoshka_dim 128  '
      type: rusisms_corrected-ru-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.6265822784810127
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.6265822784810127
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.04628088533386624
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.6265822784810127
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.6265822784810127
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.5779403273255477
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk title  matryoshka_dim 768  '
      type: core_typos-uk-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.5441478439425051
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5441478439425051
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.056110382149154946
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5441478439425051
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5441478439425051
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.480769816046975
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk title  matryoshka_dim 512  '
      type: core_typos-uk-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.5492813141683778
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5492813141683778
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.05626807053383331
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5492813141683778
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5492813141683778
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.4783302092856933
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk title  matryoshka_dim 256  '
      type: core_typos-uk-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.5308008213552361
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5308008213552361
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.05433412152596233
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5308008213552361
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5308008213552361
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.46618368961246337
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk title  matryoshka_dim 128  '
      type: core_typos-uk-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.5123203285420944
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5123203285420944
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.05245570961161612
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5123203285420944
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5123203285420944
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.44226507977696844
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru title  matryoshka_dim 768  '
      type: core_typos-ru-title--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.5595482546201233
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5595482546201233
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.05744649512088213
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5595482546201233
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5595482546201233
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.4874349469065539
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru title  matryoshka_dim 512  '
      type: core_typos-ru-title--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.5451745379876797
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5451745379876797
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.05620993608597788
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5451745379876797
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5451745379876797
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.48179945085007053
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru title  matryoshka_dim 256  '
      type: core_typos-ru-title--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.5318275154004107
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5318275154004107
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.054473541198236206
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5318275154004107
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5318275154004107
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.4692266363313306
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru title  matryoshka_dim 128  '
      type: core_typos-ru-title--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.5225872689938398
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.5225872689938398
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.05359620013865696
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.5225872689938398
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.5225872689938398
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.4451705643146633
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk options  matryoshka_dim 768  '
      type: core_typos-uk-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.43018480492813144
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.43018480492813144
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.04330169200020632
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.43018480492813144
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.43018480492813144
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.42856816814675947
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk options  matryoshka_dim 512  '
      type: core_typos-uk-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.419917864476386
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.419917864476386
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.042235882951851066
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.419917864476386
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.419917864476386
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.42366350694238186
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk options  matryoshka_dim 256  '
      type: core_typos-uk-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.42915811088295686
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.42915811088295686
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.04352310958558693
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.42915811088295686
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.42915811088295686
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.41901039848919813
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos uk options  matryoshka_dim 128  '
      type: core_typos-uk-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.42505133470225875
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.42505133470225875
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.043236480440550985
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.42505133470225875
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.42505133470225875
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.4046885891906333
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru options  matryoshka_dim 768  '
      type: core_typos-ru-options--matryoshka_dim-768--
    metrics:
    - type: dot_accuracy@1
      value: 0.44455852156057496
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.44455852156057496
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.04479658044777624
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.44455852156057496
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.44455852156057496
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.42892229251421876
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru options  matryoshka_dim 512  '
      type: core_typos-ru-options--matryoshka_dim-512--
    metrics:
    - type: dot_accuracy@1
      value: 0.42299794661190965
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.42299794661190965
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.042604436939501555
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.42299794661190965
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.42299794661190965
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.4243465119995708
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru options  matryoshka_dim 256  '
      type: core_typos-ru-options--matryoshka_dim-256--
    metrics:
    - type: dot_accuracy@1
      value: 0.4260780287474333
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.4260780287474333
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.04284840741387426
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.4260780287474333
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.4260780287474333
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.4187583987858516
      name: Dot Map@100
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: 'core_typos ru options  matryoshka_dim 128  '
      type: core_typos-ru-options--matryoshka_dim-128--
    metrics:
    - type: dot_accuracy@1
      value: 0.446611909650924
      name: Dot Accuracy@1
    - type: dot_precision@1
      value: 0.446611909650924
      name: Dot Precision@1
    - type: dot_recall@1
      value: 0.04509914507725234
      name: Dot Recall@1
    - type: dot_ndcg@1
      value: 0.446611909650924
      name: Dot Ndcg@1
    - type: dot_mrr@1
      value: 0.446611909650924
      name: Dot Mrr@1
    - type: dot_map@100
      value: 0.40468950392929137
      name: Dot Map@100
---

# SentenceTransformer based on intfloat/multilingual-e5-base

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on the rozetka_positive_pairs dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

## Model Details

### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) <!-- at revision d13f1b27baf31030b7fd040960d60d909913633f -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Dot Product
- **Training Dataset:**
    - rozetka_positive_pairs
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)

### Full Model Architecture

```
RZTKSentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: XLMRobertaModel 
  (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, '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:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("rztk/multilingual-e5-base-matryoshka2d-mnr-3")
# Run inference
sentences = [
    'query: мебель для кухни',
    'passage: Кухня Эко модуль Вытяжка 600 Эверест Ясень Шимо Светлый 60х30х28 см',
    'passage: Ключниці кишенькові Karya Гарантія 14 днів Для кого Для жінок Колір Червоний Матеріал Шкіра Країна реєстрації бренда Туреччина Країна-виробник товару Туреччина',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

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

<!--
### Direct Usage (Transformers)

<details><summary>Click to see the direct usage in Transformers</summary>

</details>
-->

<!--
### Downstream Usage (Sentence Transformers)

You can finetune this model on your own dataset.

<details><summary>Click to expand</summary>

</details>
-->

<!--
### Out-of-Scope Use

*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->

<!--
## Bias, Risks and Limitations

*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->

<!--
### Recommendations

*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->

## Training Details

### Training Dataset

#### rozetka_positive_pairs

* Dataset: rozetka_positive_pairs
* Size: 58,620,066 training samples
* Columns: <code>query</code> and <code>text</code>
* Approximate statistics based on the first 1000 samples:
  |         | query                                                                             | text                                                                                |
  |:--------|:----------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
  | type    | string                                                                            | string                                                                              |
  | details | <ul><li>min: 6 tokens</li><li>mean: 11.27 tokens</li><li>max: 30 tokens</li></ul> | <ul><li>min: 11 tokens</li><li>mean: 59.47 tokens</li><li>max: 512 tokens</li></ul> |
* Samples:
  | query                              | text                                                                                                                                                                        |
  |:-----------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | <code>query: xsiomi 9c скло</code> | <code>passage: Защитные стекла  Назначение Для мобильных телефонов Цвет Черный Теги Теги Наличие рамки C рамкой Форм-фактор Плоское Клеевой слой По всей поверхности</code> |
  | <code>query: xsiomi 9c скло</code> | <code>passage: Захисне скло  Призначення Для мобільних телефонів Колір Чорний Теги Теги Наявність рамки З рамкою Форм-фактор Плоске Клейовий шар По всій поверхні</code>    |
  | <code>query: xsiomi 9c скло</code> | <code>passage: Захисне скло Glass Full Glue для Xiaomi Redmi 9A/9C/10A (Чорний)</code>                                                                                      |
* Loss: <code>sentence_transformers_training.model.matryoshka2d_loss.RZTKMatryoshka2dLoss</code> with these parameters:
  ```json
  {
      "loss": "RZTKMultipleNegativesRankingLoss",
      "n_layers_per_step": 1,
      "last_layer_weight": 1.0,
      "prior_layers_weight": 1.0,
      "kl_div_weight": 1.0,
      "kl_temperature": 0.3,
      "matryoshka_dims": [
          768,
          512,
          256,
          128
      ],
      "matryoshka_weights": [
          1,
          1,
          1,
          1
      ],
      "n_dims_per_step": 1
  }
  ```

### Evaluation Dataset

#### rozetka_positive_pairs

* Dataset: rozetka_positive_pairs
* Size: 1,903,728 evaluation samples
* Columns: <code>query</code> and <code>text</code>
* Approximate statistics based on the first 1000 samples:
  |         | query                                                                            | text                                                                               |
  |:--------|:---------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
  | type    | string                                                                           | string                                                                             |
  | details | <ul><li>min: 6 tokens</li><li>mean: 8.36 tokens</li><li>max: 16 tokens</li></ul> | <ul><li>min: 8 tokens</li><li>mean: 45.68 tokens</li><li>max: 365 tokens</li></ul> |
* Samples:
  | query                                       | text                                                                    |
  |:--------------------------------------------|:------------------------------------------------------------------------|
  | <code>query: создаем нейронную сеть</code> | <code>passage: Створюємо нейронну мережу</code>                         |
  | <code>query: создаем нейронную сеть</code> | <code>passage: Создаем нейронную сеть (1666498)</code>                  |
  | <code>query: создаем нейронную сеть</code> | <code>passage: Научная и техническая литература  Переплет Мягкий</code> |
* Loss: <code>sentence_transformers_training.model.matryoshka2d_loss.RZTKMatryoshka2dLoss</code> with these parameters:
  ```json
  {
      "loss": "RZTKMultipleNegativesRankingLoss",
      "n_layers_per_step": 1,
      "last_layer_weight": 1.0,
      "prior_layers_weight": 1.0,
      "kl_div_weight": 1.0,
      "kl_temperature": 0.3,
      "matryoshka_dims": [
          768,
          512,
          256,
          128
      ],
      "matryoshka_weights": [
          1,
          1,
          1,
          1
      ],
      "n_dims_per_step": 1
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `eval_strategy`: steps
- `per_device_train_batch_size`: 88
- `per_device_eval_batch_size`: 88
- `learning_rate`: 2e-05
- `num_train_epochs`: 1.0
- `warmup_ratio`: 0.1
- `bf16`: True
- `bf16_full_eval`: True
- `tf32`: True
- `dataloader_num_workers`: 8
- `load_best_model_at_end`: True
- `optim`: adafactor
- `push_to_hub`: True
- `hub_model_id`: rztk/multilingual-e5-base-matryoshka2d-mnr-3
- `hub_private_repo`: True
- `prompts`: {'query': 'query: ', 'text': 'passage: '}
- `batch_sampler`: no_duplicates

#### All Hyperparameters
<details><summary>Click to expand</summary>

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 88
- `per_device_eval_batch_size`: 88
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 2e-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`: 1.0
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `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`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: True
- `fp16_full_eval`: False
- `tf32`: True
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: True
- `dataloader_num_workers`: 8
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: True
- `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}
- `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`: adafactor
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `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`: True
- `resume_from_checkpoint`: None
- `hub_model_id`: rztk/multilingual-e5-base-matryoshka2d-mnr-3
- `hub_strategy`: every_save
- `hub_private_repo`: True
- `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
- `dispatch_batches`: None
- `split_batches`: 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`: {'query': 'query: ', 'text': 'passage: '}
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional
- `ddp_static_graph`: False
- `ddp_comm_hook`: bf16
- `gradient_as_bucket_view`: False
- `num_proc`: 30

</details>

### Training Logs
<details><summary>Click to expand</summary>

| Epoch  | Step   | Training Loss | Validation Loss |
|:------:|:------:|:-------------:|:---------------:|
| 0.0050 | 833    | 4.8404        | -               |
| 0.0100 | 1666   | 4.6439        | -               |
| 0.0150 | 2499   | 4.2238        | -               |
| 0.0200 | 3332   | 3.5445        | -               |
| 0.0250 | 4165   | 2.7514        | -               |
| 0.0300 | 4998   | 2.4037        | -               |
| 0.0350 | 5831   | 2.1916        | -               |
| 0.0400 | 6664   | 2.0938        | -               |
| 0.0450 | 7497   | 1.9268        | -               |
| 0.0500 | 8330   | 1.8671        | -               |
| 0.0550 | 9163   | 1.7069        | -               |
| 0.0600 | 9996   | 1.6419        | -               |
| 0.0650 | 10829  | 1.55          | -               |
| 0.0700 | 11662  | 1.5483        | -               |
| 0.0750 | 12495  | 1.5419        | -               |
| 0.0800 | 13328  | 1.3582        | -               |
| 0.0850 | 14161  | 1.3537        | -               |
| 0.0900 | 14994  | 1.3067        | -               |
| 0.0950 | 15827  | 1.2128        | -               |
| 0.1000 | 16654  | -             | 1.0107          |
| 0.1000 | 16660  | 1.2248        | -               |
| 0.1050 | 17493  | 1.1565        | -               |
| 0.1100 | 18326  | 1.1351        | -               |
| 0.1150 | 19159  | 1.0808        | -               |
| 0.1200 | 19992  | 1.0561        | -               |
| 0.1250 | 20825  | 1.078         | -               |
| 0.1301 | 21658  | 1.1413        | -               |
| 0.1351 | 22491  | 1.0446        | -               |
| 0.1401 | 23324  | 0.9986        | -               |
| 0.1451 | 24157  | 0.9668        | -               |
| 0.1501 | 24990  | 0.9753        | -               |
| 0.1551 | 25823  | 1.0031        | -               |
| 0.1601 | 26656  | 0.9688        | -               |
| 0.1651 | 27489  | 0.9262        | -               |
| 0.1701 | 28322  | 0.9702        | -               |
| 0.1751 | 29155  | 0.9082        | -               |
| 0.1801 | 29988  | 0.9264        | -               |
| 0.1851 | 30821  | 0.8526        | -               |
| 0.1901 | 31654  | 0.9667        | -               |
| 0.1951 | 32487  | 0.9421        | -               |
| 0.2000 | 33308  | -             | 0.6416          |
| 0.2001 | 33320  | 0.9216        | -               |
| 0.2051 | 34153  | 0.95          | -               |
| 0.2101 | 34986  | 0.8895        | -               |
| 0.2151 | 35819  | 0.8349        | -               |
| 0.2201 | 36652  | 0.8628        | -               |
| 0.2251 | 37485  | 0.8729        | -               |
| 0.2301 | 38318  | 0.9285        | -               |
| 0.2351 | 39151  | 0.8718        | -               |
| 0.2401 | 39984  | 0.8792        | -               |
| 0.2451 | 40817  | 0.8852        | -               |
| 0.2501 | 41650  | 0.877         | -               |
| 0.2551 | 42483  | 0.8325        | -               |
| 0.2601 | 43316  | 0.8446        | -               |
| 0.2651 | 44149  | 0.812         | -               |
| 0.2701 | 44982  | 0.8246        | -               |
| 0.2751 | 45815  | 0.8086        | -               |
| 0.2801 | 46648  | 0.8553        | -               |
| 0.2851 | 47481  | 0.8506        | -               |
| 0.2901 | 48314  | 0.834         | -               |
| 0.2951 | 49147  | 0.8313        | -               |
| 0.3000 | 49962  | -             | 0.5377          |
| 0.3001 | 49980  | 0.8376        | -               |
| 0.3051 | 50813  | 0.7836        | -               |
| 0.3101 | 51646  | 0.8089        | -               |
| 0.3151 | 52479  | 0.8065        | -               |
| 0.3201 | 53312  | 0.8284        | -               |
| 0.3251 | 54145  | 0.7959        | -               |
| 0.3301 | 54978  | 0.8332        | -               |
| 0.3351 | 55811  | 0.7924        | -               |
| 0.3401 | 56644  | 0.8171        | -               |
| 0.3451 | 57477  | 0.7924        | -               |
| 0.3501 | 58310  | 0.7977        | -               |
| 0.3551 | 59143  | 0.7729        | -               |
| 0.3601 | 59976  | 0.7617        | -               |
| 0.3651 | 60809  | 0.8211        | -               |
| 0.3701 | 61642  | 0.8497        | -               |
| 0.3751 | 62475  | 0.8218        | -               |
| 0.3802 | 63308  | 0.7846        | -               |
| 0.3852 | 64141  | 0.7876        | -               |
| 0.3902 | 64974  | 0.7912        | -               |
| 0.3952 | 65807  | 0.7977        | -               |
| 0.4000 | 66616  | -             | 0.4974          |
| 0.4002 | 66640  | 0.8096        | -               |
| 0.4052 | 67473  | 0.8356        | -               |
| 0.4102 | 68306  | 0.788         | -               |
| 0.4152 | 69139  | 0.7683        | -               |
| 0.4202 | 69972  | 0.7358        | -               |
| 0.4252 | 70805  | 0.7634        | -               |
| 0.4302 | 71638  | 0.7535        | -               |
| 0.4352 | 72471  | 0.756         | -               |
| 0.4402 | 73304  | 0.7633        | -               |
| 0.4452 | 74137  | 0.7509        | -               |
| 0.4502 | 74970  | 0.7547        | -               |
| 0.4552 | 75803  | 0.7539        | -               |
| 0.4602 | 76636  | 0.7608        | -               |
| 0.4652 | 77469  | 0.8262        | -               |
| 0.4702 | 78302  | 0.8076        | -               |
| 0.4752 | 79135  | 0.8179        | -               |
| 0.4802 | 79968  | 0.7709        | -               |
| 0.4852 | 80801  | 0.744         | -               |
| 0.4902 | 81634  | 0.7846        | -               |
| 0.4952 | 82467  | 0.7473        | -               |
| 0.5000 | 83270  | -             | 0.4776          |
| 0.5002 | 83300  | 0.7759        | -               |
| 0.5052 | 84133  | 0.755         | -               |
| 0.5102 | 84966  | 0.7308        | -               |
| 0.5152 | 85799  | 0.7256        | -               |
| 0.5202 | 86632  | 0.7703        | -               |
| 0.5252 | 87465  | 0.7823        | -               |
| 0.5302 | 88298  | 0.8109        | -               |
| 0.5352 | 89131  | 0.7795        | -               |
| 0.5402 | 89964  | 0.7833        | -               |
| 0.5452 | 90797  | 0.7752        | -               |
| 0.5502 | 91630  | 0.7975        | -               |
| 0.5552 | 92463  | 0.7863        | -               |
| 0.5602 | 93296  | 0.7337        | -               |
| 0.5652 | 94129  | 0.7755        | -               |
| 0.5702 | 94962  | 0.7928        | -               |
| 0.5752 | 95795  | 0.7604        | -               |
| 0.5802 | 96628  | 0.7983        | -               |
| 0.5852 | 97461  | 0.7665        | -               |
| 0.5902 | 98294  | 0.7749        | -               |
| 0.5952 | 99127  | 0.7838        | -               |
| 0.6000 | 99924  | -             | 0.4669          |
| 0.6002 | 99960  | 0.7727        | -               |
| 0.6052 | 100793 | 0.8049        | -               |
| 0.6102 | 101626 | 0.7857        | -               |
| 0.6152 | 102459 | 0.7622        | -               |
| 0.6202 | 103292 | 0.8117        | -               |
| 0.6252 | 104125 | 0.7711        | -               |
| 0.6302 | 104958 | 0.7892        | -               |
| 0.6353 | 105791 | 0.7938        | -               |
| 0.6403 | 106624 | 0.728         | -               |
| 0.6453 | 107457 | 0.7693        | -               |
| 0.6503 | 108290 | 0.7875        | -               |
| 0.6553 | 109123 | 0.7958        | -               |
| 0.6603 | 109956 | 0.749         | -               |
| 0.6653 | 110789 | 0.7788        | -               |
| 0.6703 | 111622 | 0.7614        | -               |
| 0.6753 | 112455 | 0.7577        | -               |
| 0.6803 | 113288 | 0.7805        | -               |
| 0.6853 | 114121 | 0.7677        | -               |
| 0.6903 | 114954 | 0.7458        | -               |
| 0.6953 | 115787 | 0.7962        | -               |
| 0.7000 | 116578 | -             | 0.4641          |
| 0.7003 | 116620 | 0.7275        | -               |
| 0.7053 | 117453 | 0.7778        | -               |
| 0.7103 | 118286 | 0.7885        | -               |
| 0.7153 | 119119 | 0.8046        | -               |
| 0.7203 | 119952 | 0.8222        | -               |
| 0.7253 | 120785 | 0.7714        | -               |
| 0.7303 | 121618 | 0.7983        | -               |
| 0.7353 | 122451 | 0.7359        | -               |
| 0.7403 | 123284 | 0.7618        | -               |
| 0.7453 | 124117 | 0.783         | -               |
| 0.7503 | 124950 | 0.763         | -               |
| 0.7553 | 125783 | 0.809         | -               |
| 0.7603 | 126616 | 0.794         | -               |
| 0.7653 | 127449 | 0.7366        | -               |
| 0.7703 | 128282 | 0.776         | -               |
| 0.7753 | 129115 | 0.8053        | -               |
| 0.7803 | 129948 | 0.7941        | -               |
| 0.7853 | 130781 | 0.7722        | -               |
| 0.7903 | 131614 | 0.7959        | -               |
| 0.7953 | 132447 | 0.8061        | -               |
| 0.8000 | 133232 | -             | 0.4468          |

</details>

### Framework Versions
- Python: 3.11.10
- Sentence Transformers: 3.3.0
- Transformers: 4.46.3
- PyTorch: 2.5.1+cu124
- Accelerate: 1.1.1
- Datasets: 3.1.0
- Tokenizers: 0.20.3

## Citation

### BibTeX

#### Sentence Transformers
```bibtex
@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",
}
```

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