---
language:
- en
- pl
model-index:
- name: 2024-06-24_22-31-28_epoch_72
  results:
  - dataset:
      config: default
      name: MTEB AllegroReviews
      revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
      split: test
      type: PL-MTEB/allegro-reviews
    metrics:
    - type: accuracy
      value: 26.73956262425447
    - type: f1
      value: 24.72212438242799
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB CBD
      revision: 36ddb419bcffe6a5374c3891957912892916f28d
      split: test
      type: PL-MTEB/cbd
    metrics:
    - type: accuracy
      value: 60.41000000000001
    - type: ap
      value: 16.590391111732096
    - type: f1
      value: 50.16022721499689
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB CDSC-E
      revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
      split: test
      type: PL-MTEB/cdsce-pairclassification
    metrics: []
    task:
      type: PairClassification
  - dataset:
      config: default
      name: MTEB CDSC-R
      revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
      split: test
      type: PL-MTEB/cdscr-sts
    metrics: []
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB EightTagsClustering
      revision: 78b962b130c6690659c65abf67bf1c2f030606b6
      split: test
      type: PL-MTEB/8tags-clustering
    metrics:
    - type: v_measure
      value: 15.813592925364725
    - type: v_measure_std
      value: 1.9166533251443476
    task:
      type: Clustering
  - dataset:
      config: pl
      name: MTEB MassiveIntentClassification (pl)
      revision: 4672e20407010da34463acc759c162ca9734bca6
      split: test
      type: mteb/amazon_massive_intent
    metrics:
    - type: accuracy
      value: 35.05379959650302
    - type: f1
      value: 31.280000221296433
    task:
      type: Classification
  - dataset:
      config: pl
      name: MTEB MassiveIntentClassification (pl)
      revision: 4672e20407010da34463acc759c162ca9734bca6
      split: validation
      type: mteb/amazon_massive_intent
    metrics:
    - type: accuracy
      value: 35.15002459419577
    - type: f1
      value: 30.34869042758427
    task:
      type: Classification
  - dataset:
      config: pl
      name: MTEB MassiveScenarioClassification (pl)
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
      split: test
      type: mteb/amazon_massive_scenario
    metrics:
    - type: accuracy
      value: 44.717552118359116
    - type: f1
      value: 42.37790792135482
    task:
      type: Classification
  - dataset:
      config: pl
      name: MTEB MassiveScenarioClassification (pl)
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
      split: validation
      type: mteb/amazon_massive_scenario
    metrics:
    - type: accuracy
      value: 43.905558288243974
    - type: f1
      value: 42.29037370379796
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB PAC
      revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
      split: test
      type: laugustyniak/abusive-clauses-pl
    metrics:
    - type: accuracy
      value: 68.31450912250216
    - type: ap
      value: 76.4645426213301
    - type: f1
      value: 65.47172026629428
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB PSC
      revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
      split: test
      type: PL-MTEB/psc-pairclassification
    metrics: []
    task:
      type: PairClassification
  - dataset:
      config: default
      name: MTEB PlscClusteringP2P
      revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b
      split: test
      type: PL-MTEB/plsc-clustering-p2p
    metrics:
    - type: v_measure
      value: 37.096631045184445
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB PlscClusteringS2S
      revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
      split: test
      type: PL-MTEB/plsc-clustering-s2s
    metrics:
    - type: v_measure
      value: 34.48432926050828
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB PolEmo2.0-IN
      revision: d90724373c70959f17d2331ad51fb60c71176b03
      split: test
      type: PL-MTEB/polemo2_in
    metrics:
    - type: accuracy
      value: 51.883656509695285
    - type: f1
      value: 53.05783093254478
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB PolEmo2.0-OUT
      revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
      split: test
      type: PL-MTEB/polemo2_out
    metrics:
    - type: accuracy
      value: 20.44534412955466
    - type: f1
      value: 18.186003039980065
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB SICK-E-PL
      revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
      split: test
      type: PL-MTEB/sicke-pl-pairclassification
    metrics: []
    task:
      type: PairClassification
  - dataset:
      config: default
      name: MTEB SICK-R-PL
      revision: fd5c2441b7eeff8676768036142af4cfa42c1339
      split: test
      type: PL-MTEB/sickr-pl-sts
    metrics: []
    task:
      type: STS
  - dataset:
      config: pl
      name: MTEB STS22 (pl)
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
      split: test
      type: mteb/sts22-crosslingual-sts
    metrics: []
    task:
      type: STS
  - dataset:
      config: pl
      name: MTEB STSBenchmarkMultilingualSTS (pl)
      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
      split: dev
      type: mteb/stsb_multi_mt
    metrics: []
    task:
      type: STS
  - dataset:
      config: pl
      name: MTEB STSBenchmarkMultilingualSTS (pl)
      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
      split: test
      type: mteb/stsb_multi_mt
    metrics: []
    task:
      type: STS
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- mteb
- feature-extraction
---