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metadata
language:
  - en
  - pl
model-index:
  - name: 2024-06-24_22-31-28_epoch_51
    results:
      - dataset:
          config: default
          name: MTEB AllegroReviews
          revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
          split: test
          type: PL-MTEB/allegro-reviews
        metrics:
          - type: accuracy
            value: 24.771371769383695
          - type: f1
            value: 22.906334182604194
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB CBD
          revision: 36ddb419bcffe6a5374c3891957912892916f28d
          split: test
          type: PL-MTEB/cbd
        metrics:
          - type: accuracy
            value: 56.56000000000001
          - type: ap
            value: 16.36230406636535
          - type: f1
            value: 48.005276272512425
        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: 16.169587972595735
          - type: v_measure_std
            value: 2.0733057813546663
        task:
          type: Clustering
      - dataset:
          config: pl
          name: MTEB MassiveIntentClassification (pl)
          revision: 4672e20407010da34463acc759c162ca9734bca6
          split: test
          type: mteb/amazon_massive_intent
        metrics:
          - type: accuracy
            value: 34.00806993947545
          - type: f1
            value: 31.199415030247202
        task:
          type: Classification
      - dataset:
          config: pl
          name: MTEB MassiveIntentClassification (pl)
          revision: 4672e20407010da34463acc759c162ca9734bca6
          split: validation
          type: mteb/amazon_massive_intent
        metrics:
          - type: accuracy
            value: 33.5612395474668
          - type: f1
            value: 30.43930582118925
        task:
          type: Classification
      - dataset:
          config: pl
          name: MTEB MassiveScenarioClassification (pl)
          revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
          split: test
          type: mteb/amazon_massive_scenario
        metrics:
          - type: accuracy
            value: 44.66711499663752
          - type: f1
            value: 42.57979023104062
        task:
          type: Classification
      - dataset:
          config: pl
          name: MTEB MassiveScenarioClassification (pl)
          revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
          split: validation
          type: mteb/amazon_massive_scenario
        metrics:
          - type: accuracy
            value: 43.30054107230694
          - type: f1
            value: 41.98764923350113
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB PAC
          revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
          split: test
          type: laugustyniak/abusive-clauses-pl
        metrics:
          - type: accuracy
            value: 65.32580364900087
          - type: ap
            value: 74.44182410077124
          - type: f1
            value: 62.22768338379101
        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: 37.279631019185175
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB PlscClusteringS2S
          revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
          split: test
          type: PL-MTEB/plsc-clustering-s2s
        metrics:
          - type: v_measure
            value: 33.81548954809972
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB PolEmo2.0-IN
          revision: d90724373c70959f17d2331ad51fb60c71176b03
          split: test
          type: PL-MTEB/polemo2_in
        metrics:
          - type: accuracy
            value: 50.11080332409972
          - type: f1
            value: 51.328284881595664
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB PolEmo2.0-OUT
          revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
          split: test
          type: PL-MTEB/polemo2_out
        metrics:
          - type: accuracy
            value: 20.991902834008098
          - type: f1
            value: 17.429085814811046
        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