Model: ILKT/2024-06-24_22-31-28_epoch_32
Author: ILKT
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, ILKT, sentence-similarity, mteb, feature-extraction, custom_code, en, pl, model-index, endpoints_compatible, region:us
Card metadata: language: en, pl
model-index: name: 2024-06-24_22-31-28_epoch_32
results: dataset: config: default
name: MTEB AllegroReviews
revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
split: test
type: PL-MTEB/allegro-reviews
metrics: type: accuracy
value: 25.497017892644138
verified: no, type: f1
value: 23.196505434372433
verified: no
task: type: Classification, dataset: config: default
name: MTEB CBD
revision: 36ddb419bcffe6a5374c3891957912892916f28d
split: test
type: PL-MTEB/cbd
metrics: type: accuracy
value: 55.14
verified: no, type: ap
value: 15.181764997173907
verified: no, type: f1
value: 46.19755128974485
verified: no
task: type: Classification, dataset: config: default
name: MTEB CDSC-E
revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
split: test
type: PL-MTEB/cdsce-pairclassification
task: type: PairClassification, dataset: config: default
name: MTEB CDSC-R
revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
split: test
type: PL-MTEB/cdscr-sts
task: type: STS, dataset: config: default
name: MTEB EightTagsClustering
revision: 78b962b130c6690659c65abf67bf1c2f030606b6
split: test
type: PL-MTEB/8tags-clustering
metrics: type: v_measure
value: 12.25018582615269
verified: no, type: v_measure_std
value: 1.9214164130465314
verified: no
task: type: Clustering, dataset: config: pl
name: MTEB MassiveIntentClassification (pl)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 35.141223940820446
verified: no, type: f1
value: 32.44473134593861
verified: no
task: type: Classification, dataset: config: pl
name: MTEB MassiveIntentClassification (pl)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: validation
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 35.51893753074275
verified: no, type: f1
value: 32.252471173888985
verified: no
task: type: Classification, dataset: config: pl
name: MTEB MassiveScenarioClassification (pl)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 42.817753866846004
verified: no, type: f1
value: 40.824704534019986
verified: no
task: type: Classification, dataset: config: pl
name: MTEB MassiveScenarioClassification (pl)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: validation
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 42.66601082144614
verified: no, type: f1
value: 41.0074982856691
verified: no
task: type: Classification, dataset: config: default
name: MTEB PAC
revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
split: test
type: laugustyniak/abusive-clauses-pl
metrics: type: accuracy
value: 66.67535476397335
verified: no, type: ap
value: 75.51849268230839
verified: no, type: f1
value: 63.879935271884406
verified: no
task: type: Classification, dataset: config: default
name: MTEB PSC
revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
split: test
type: PL-MTEB/psc-pairclassification
task: type: PairClassification, dataset: config: default
name: MTEB PlscClusteringP2P
revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b
split: test
type: PL-MTEB/plsc-clustering-p2p
metrics: type: v_measure
value: 36.27372018128277
verified: no
task: type: Clustering, dataset: config: default
name: MTEB PlscClusteringS2S
revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
split: test
type: PL-MTEB/plsc-clustering-s2s
metrics: type: v_measure
value: 33.43365014862283
verified: no
task: type: Clustering, dataset: config: default
name: MTEB PolEmo2.0-IN
revision: d90724373c70959f17d2331ad51fb60c71176b03
split: test
type: PL-MTEB/polemo2_in
metrics: type: accuracy
value: 47.21606648199446
verified: no, type: f1
value: 48.37055884594939
verified: no
task: type: Classification, dataset: config: default
name: MTEB PolEmo2.0-OUT
revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
split: test
type: PL-MTEB/polemo2_out
metrics: type: accuracy
value: 24.412955465587046
verified: no, type: f1
value: 21.015586418343393
verified: no
task: type: Classification, dataset: config: default
name: MTEB SICK-E-PL
revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
split: test
type: PL-MTEB/sicke-pl-pairclassification
task: type: PairClassification, dataset: config: default
name: MTEB SICK-R-PL
revision: fd5c2441b7eeff8676768036142af4cfa42c1339
split: test
type: PL-MTEB/sickr-pl-sts
task: type: STS, dataset: config: pl
name: MTEB STS22 (pl)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
task: type: STS, dataset: config: pl
name: MTEB STSBenchmarkMultilingualSTS (pl)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: dev
type: mteb/stsb_multi_mt
task: type: STS, dataset: config: pl
name: MTEB STSBenchmarkMultilingualSTS (pl)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
task: type: STS
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, mteb, feature-extraction
Likes: 0 | All-time downloads: 10
Created: 2024-06-25 06:44:48