README.md

metadata

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pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb language: - en - pl

model-index: - name: 2024-06-17_21-37-12 results: - dataset: config: pl name: MTEB MassiveIntentClassification revision: 4672e20407010da34463acc759c162ca9734bca6 split: test type: mteb/amazon_massive_intent metrics: - type: accuracy value: 0.13691997310020174 task: type: Classification - dataset: config: pl name: MTEB MassiveIntentClassification revision: 4672e20407010da34463acc759c162ca9734bca6 split: validation type: mteb/amazon_massive_intent metrics: - type: accuracy value: 0.12454500737825873 task: type: Classification - dataset: config: pl name: MTEB MassiveScenarioClassification revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8 split: test type: mteb/amazon_massive_scenario metrics: - type: accuracy value: 0.2101882985877606 task: type: Classification - dataset: config: pl name: MTEB MassiveScenarioClassification revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8 split: validation type: mteb/amazon_massive_scenario metrics: - type: accuracy value: 0.2044761436301033 task: type: Classification - dataset: config: default name: MTEB CBD revision: 36ddb419bcffe6a5374c3891957912892916f28d split: test type: PL-MTEB/cbd metrics: - type: accuracy value: 0.5424 task: type: Classification - dataset: config: default name: MTEB PolEmo2.0-IN revision: d90724373c70959f17d2331ad51fb60c71176b03 split: test type: PL-MTEB/polemo2_in metrics: - type: accuracy value: 0.3379501385041551 task: type: Classification - dataset: config: default name: MTEB PolEmo2.0-OUT revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4 split: test type: PL-MTEB/polemo2_out metrics: - type: accuracy value: 0.2777327935222672 task: type: Classification - dataset: config: default name: MTEB AllegroReviews revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6 split: test type: PL-MTEB/allegro-reviews metrics: - type: accuracy value: 0.20725646123260436 task: type: Classification - dataset: config: default name: MTEB PAC revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543 split: test type: laugustyniak/abusive-clauses-pl metrics: - type: accuracy value: 0.6321169997103967 task: type: Classification - dataset: config: default name: MTEB EightTagsClustering revision: 78b962b130c6690659c65abf67bf1c2f030606b6 split: test type: PL-MTEB/8tags-clustering metrics: - type: v_measure value: 0.05511158974160414 task: type: Clustering - dataset: config: default name: MTEB SICK-E-PL revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9 split: test type: PL-MTEB/sicke-pl-pairclassification metrics: - type: ap value: 0.42361845278943716 task: type: PairClassification - dataset: config: default name: MTEB CDSC-E revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d split: test type: PL-MTEB/cdsce-pairclassification metrics: - type: ap value: 0.3709710445455343 task: type: PairClassification - dataset: config: default name: MTEB PSC revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669 split: test type: PL-MTEB/psc-pairclassification metrics: - type: ap value: 0.3809467855296219 task: type: PairClassification - dataset: config: pl name: MTEB STS22 revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 split: test type: mteb/sts22-crosslingual-sts metrics: - type: cosine_spearman value: -0.08145692578014468 task: type: STS - dataset: config: pl name: MTEB STSBenchmarkMultilingualSTS revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c split: dev type: mteb/stsb_multi_mt metrics: - type: cosine_spearman value: 0.35697065008448076 task: type: STS - dataset: config: pl name: MTEB STSBenchmarkMultilingualSTS revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c split: test type: mteb/stsb_multi_mt metrics: - type: cosine_spearman value: 0.3896654714447778 task: type: STS - dataset: config: default name: MTEB SICK-R-PL revision: fd5c2441b7eeff8676768036142af4cfa42c1339 split: test type: PL-MTEB/sickr-pl-sts metrics: - type: cosine_spearman value: 0.3190702232991456 task: type: STS - dataset: config: default name: MTEB CDSC-R revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd split: test type: PL-MTEB/cdscr-sts metrics: - type: cosine_spearman value: 0.41334466358949856 task: type: STS - dataset: config: default name: MTEB PlscClusteringS2S revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a split: test type: PL-MTEB/plsc-clustering-s2s metrics: - type: v_measure value: 0.22666231671459164 task: type: Clustering - dataset: config: default name: MTEB PlscClusteringP2P revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b split: test type: PL-MTEB/plsc-clustering-p2p metrics: - type: v_measure value: 0.18001344284415774 task: type: Clustering tags: - mteb