---
tags:
- mteb
model-index:
- name: 2024-06-15_10-09-42
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification
      type: mteb/amazon_massive_intent
      config: pl
      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
    metrics:
    - type: accuracy
      value: 0.09270342972427706
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification
      type: mteb/amazon_massive_intent
      config: pl
      split: validation
      revision: 4672e20407010da34463acc759c162ca9734bca6
    metrics:
    - type: accuracy
      value: 0.09493359567142154
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification
      type: mteb/amazon_massive_scenario
      config: pl
      split: test
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
    metrics:
    - type: accuracy
      value: 0.13839946200403497
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification
      type: mteb/amazon_massive_scenario
      config: pl
      split: validation
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
    metrics:
    - type: accuracy
      value: 0.13300541072306934
  - task:
      type: Classification
    dataset:
      name: MTEB CBD
      type: PL-MTEB/cbd
      config: default
      split: test
      revision: 36ddb419bcffe6a5374c3891957912892916f28d
    metrics:
    - type: accuracy
      value: 0.49749999999999994
  - task:
      type: Classification
    dataset:
      name: MTEB PolEmo2.0-IN
      type: PL-MTEB/polemo2_in
      config: default
      split: test
      revision: d90724373c70959f17d2331ad51fb60c71176b03
    metrics:
    - type: accuracy
      value: 0.3736842105263158
  - task:
      type: Classification
    dataset:
      name: MTEB PolEmo2.0-OUT
      type: PL-MTEB/polemo2_out
      config: default
      split: test
      revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
    metrics:
    - type: accuracy
      value: 0.2955465587044534
  - task:
      type: Classification
    dataset:
      name: MTEB AllegroReviews
      type: PL-MTEB/allegro-reviews
      config: default
      split: test
      revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
    metrics:
    - type: accuracy
      value: 0.22713717693836974
  - task:
      type: Classification
    dataset:
      name: MTEB PAC
      type: laugustyniak/abusive-clauses-pl
      config: default
      split: test
      revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
    metrics:
    - type: accuracy
      value: 0.5633651896901245
  - task:
      type: Clustering
    dataset:
      name: MTEB EightTagsClustering
      type: PL-MTEB/8tags-clustering
      config: default
      split: test
      revision: 78b962b130c6690659c65abf67bf1c2f030606b6
    metrics:
    - type: v_measure
      value: 0.011462589437473216
  - task:
      type: PairClassification
    dataset:
      name: MTEB SICK-E-PL
      type: PL-MTEB/sicke-pl-pairclassification
      config: default
      split: test
      revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
    metrics:
    - type: ap
      value: 0.5523380294645331
  - task:
      type: PairClassification
    dataset:
      name: MTEB CDSC-E
      type: PL-MTEB/cdsce-pairclassification
      config: default
      split: test
      revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
    metrics:
    - type: ap
      value: 0.43095490774008566
  - task:
      type: PairClassification
    dataset:
      name: MTEB PSC
      type: PL-MTEB/psc-pairclassification
      config: default
      split: test
      revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
    metrics:
    - type: ap
      value: 0.4035899331798161
  - task:
      type: STS
    dataset:
      name: MTEB STS22
      type: mteb/sts22-crosslingual-sts
      config: pl
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_spearman
      value: -0.1003112640780357
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmarkMultilingualSTS
      type: mteb/stsb_multi_mt
      config: pl
      split: dev
      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
    metrics:
    - type: cosine_spearman
      value: 0.3621828967981027
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmarkMultilingualSTS
      type: mteb/stsb_multi_mt
      config: pl
      split: test
      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
    metrics:
    - type: cosine_spearman
      value: 0.36999667618778675
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R-PL
      type: PL-MTEB/sickr-pl-sts
      config: default
      split: test
      revision: fd5c2441b7eeff8676768036142af4cfa42c1339
    metrics:
    - type: cosine_spearman
      value: 0.43158198285416055
  - task:
      type: STS
    dataset:
      name: MTEB CDSC-R
      type: PL-MTEB/cdscr-sts
      config: default
      split: test
      revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
    metrics:
    - type: cosine_spearman
      value: 0.4616750744735728
  - task:
      type: Clustering
    dataset:
      name: MTEB PlscClusteringS2S
      type: PL-MTEB/plsc-clustering-s2s
      config: default
      split: test
      revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
    metrics:
    - type: v_measure
      value: 0.17960532151287045
  - task:
      type: Clustering
    dataset:
      name: MTEB PlscClusteringP2P
      type: PL-MTEB/plsc-clustering-p2p
      config: default
      split: test
      revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b
    metrics:
    - type: v_measure
      value: 0.1815461918111827
---