Model: ILKT/2024-06-22_12-37-29_epoch_12
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: 2024-06-22_12-37-29_epoch_12
results: dataset: config: default
name: MTEB AllegroReviews
revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
split: test
type: PL-MTEB/allegro-reviews
metrics: type: accuracy
value: 21.11332007952286
verified: no, type: f1
value: 19.59645955210582
verified: no
task: type: Classification, dataset: config: default
name: MTEB CBD
revision: 36ddb419bcffe6a5374c3891957912892916f28d
split: test
type: PL-MTEB/cbd
metrics: type: accuracy
value: 50.77
verified: no, type: ap
value: 14.340127873268832
verified: no, type: f1
value: 42.89139234631555
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: 2.117094144308076
verified: no, type: v_measure_std
value: 0.24741020055609894
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: 20.817081371889714
verified: no, type: f1
value: 18.58657348963124
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: 20.536153467781602
verified: no, type: f1
value: 18.25877469626483
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: 29.25353059852051
verified: no, type: f1
value: 26.209491977416587
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: 28.366945400885392
verified: no, type: f1
value: 25.91706073351515
verified: no
task: type: Classification, dataset: config: default
name: MTEB PAC
revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
split: test
type: laugustyniak/abusive-clauses-pl
metrics: type: accuracy
value: 65.10860121633362
verified: no, type: ap
value: 76.55504285735553
verified: no, type: f1
value: 63.34131034214878
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: 22.45968206329853
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: 20.04655200353767
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: 33.00554016620498
verified: no, type: f1
value: 31.998444324067744
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: 21.17408906882591
verified: no, type: f1
value: 17.911278313751154
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: 11
Created: 2024-06-23 05:40:21