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--- |
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pipeline_tag: sentence-similarity |
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tags: |
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- mteb |
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language: |
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- en |
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- pl |
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model-index: |
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- name: 2024-06-19_10-03-38 |
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results: |
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- dataset: |
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config: pl |
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name: MTEB MassiveIntentClassification |
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revision: 4672e20407010da34463acc759c162ca9734bca6 |
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split: test |
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type: mteb/amazon_massive_intent |
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metrics: |
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- type: accuracy |
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value: 0.11735036987222598 |
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task: |
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type: Classification |
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- dataset: |
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config: pl |
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name: MTEB MassiveIntentClassification |
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revision: 4672e20407010da34463acc759c162ca9734bca6 |
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split: validation |
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type: mteb/amazon_massive_intent |
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metrics: |
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- type: accuracy |
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value: 0.1175110673880964 |
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task: |
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type: Classification |
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- dataset: |
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config: pl |
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name: MTEB MassiveScenarioClassification |
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revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8 |
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split: test |
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type: mteb/amazon_massive_scenario |
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metrics: |
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- type: accuracy |
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value: 0.20023537323470073 |
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task: |
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type: Classification |
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- dataset: |
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config: pl |
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name: MTEB MassiveScenarioClassification |
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revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8 |
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split: validation |
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type: mteb/amazon_massive_scenario |
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metrics: |
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- type: accuracy |
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value: 0.1970486965076242 |
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task: |
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type: Classification |
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- dataset: |
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config: default |
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name: MTEB CBD |
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revision: 36ddb419bcffe6a5374c3891957912892916f28d |
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split: test |
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type: PL-MTEB/cbd |
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metrics: |
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- type: accuracy |
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value: 0.5475 |
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task: |
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type: Classification |
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- dataset: |
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config: default |
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name: MTEB PolEmo2.0-IN |
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revision: d90724373c70959f17d2331ad51fb60c71176b03 |
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split: test |
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type: PL-MTEB/polemo2_in |
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metrics: |
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- type: accuracy |
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value: 0.3630193905817175 |
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task: |
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type: Classification |
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- dataset: |
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config: default |
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name: MTEB PolEmo2.0-OUT |
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revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4 |
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split: test |
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type: PL-MTEB/polemo2_out |
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metrics: |
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- type: accuracy |
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value: 0.2866396761133604 |
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task: |
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type: Classification |
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- dataset: |
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config: default |
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name: MTEB AllegroReviews |
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revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6 |
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split: test |
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type: PL-MTEB/allegro-reviews |
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metrics: |
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- type: accuracy |
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value: 0.2630218687872764 |
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task: |
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type: Classification |
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- dataset: |
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config: default |
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name: MTEB PAC |
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revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543 |
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split: test |
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type: laugustyniak/abusive-clauses-pl |
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metrics: |
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- type: accuracy |
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value: 0.5829423689545322 |
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task: |
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type: Classification |
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- dataset: |
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config: default |
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name: MTEB EightTagsClustering |
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revision: 78b962b130c6690659c65abf67bf1c2f030606b6 |
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split: test |
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type: PL-MTEB/8tags-clustering |
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metrics: |
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- type: v_measure |
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value: 0.12741289557382568 |
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task: |
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type: Clustering |
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- dataset: |
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config: default |
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name: MTEB SICK-E-PL |
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revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9 |
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split: test |
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type: PL-MTEB/sicke-pl-pairclassification |
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metrics: |
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- type: ap |
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value: 0.5180729044483321 |
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task: |
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type: PairClassification |
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- dataset: |
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config: default |
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name: MTEB CDSC-E |
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revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d |
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split: test |
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type: PL-MTEB/cdsce-pairclassification |
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metrics: |
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- type: ap |
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value: 0.4375493105330498 |
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task: |
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type: PairClassification |
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- dataset: |
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config: default |
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name: MTEB PSC |
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revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669 |
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split: test |
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type: PL-MTEB/psc-pairclassification |
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metrics: |
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- type: ap |
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value: 0.754642295153583 |
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task: |
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type: PairClassification |
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- dataset: |
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config: pl |
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name: MTEB STS22 |
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revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
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split: test |
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type: mteb/sts22-crosslingual-sts |
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metrics: |
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- type: cosine_spearman |
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value: 0.12825302710239375 |
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task: |
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type: STS |
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- dataset: |
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config: pl |
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name: MTEB STSBenchmarkMultilingualSTS |
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revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c |
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split: dev |
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type: mteb/stsb_multi_mt |
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metrics: |
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- type: cosine_spearman |
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value: 0.4482502250845704 |
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task: |
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type: STS |
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- dataset: |
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config: pl |
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name: MTEB STSBenchmarkMultilingualSTS |
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revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c |
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split: test |
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type: mteb/stsb_multi_mt |
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metrics: |
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- type: cosine_spearman |
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value: 0.43991068385096105 |
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task: |
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type: STS |
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- dataset: |
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config: default |
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name: MTEB SICK-R-PL |
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revision: fd5c2441b7eeff8676768036142af4cfa42c1339 |
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split: test |
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type: PL-MTEB/sickr-pl-sts |
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metrics: |
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- type: cosine_spearman |
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value: 0.4167200279854063 |
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task: |
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type: STS |
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- dataset: |
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config: default |
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name: MTEB CDSC-R |
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revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd |
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split: test |
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type: PL-MTEB/cdscr-sts |
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metrics: |
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- type: cosine_spearman |
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value: 0.6206040112941377 |
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task: |
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type: STS |
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- dataset: |
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config: default |
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name: MTEB PlscClusteringS2S |
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revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a |
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split: test |
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type: PL-MTEB/plsc-clustering-s2s |
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metrics: |
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- type: v_measure |
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value: 0.27197701340559366 |
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task: |
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type: Clustering |
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- dataset: |
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config: default |
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name: MTEB PlscClusteringP2P |
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revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b |
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split: test |
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type: PL-MTEB/plsc-clustering-p2p |
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metrics: |
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- type: v_measure |
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value: 0.33147393108715384 |
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task: |
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type: Clustering |
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--- |
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