metadata
tags:
- mteb
model-index:
- name: 2024-06-15_10-09-42
results:
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification
type: mteb/amazon_massive_intent
config: pl
split: test
revision: 4672e20407010da34463acc759c162ca9734bca6
metrics:
- type: accuracy
value: 0.09270342972427706
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification
type: mteb/amazon_massive_intent
config: pl
split: validation
revision: 4672e20407010da34463acc759c162ca9734bca6
metrics:
- type: accuracy
value: 0.09493359567142154
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification
type: mteb/amazon_massive_scenario
config: pl
split: test
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
metrics:
- type: accuracy
value: 0.13839946200403497
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification
type: mteb/amazon_massive_scenario
config: pl
split: validation
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
metrics:
- type: accuracy
value: 0.13300541072306934
- task:
type: Classification
dataset:
name: MTEB CBD
type: PL-MTEB/cbd
config: default
split: test
revision: 36ddb419bcffe6a5374c3891957912892916f28d
metrics:
- type: accuracy
value: 0.49749999999999994
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-IN
type: PL-MTEB/polemo2_in
config: default
split: test
revision: d90724373c70959f17d2331ad51fb60c71176b03
metrics:
- type: accuracy
value: 0.3736842105263158
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-OUT
type: PL-MTEB/polemo2_out
config: default
split: test
revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
metrics:
- type: accuracy
value: 0.2955465587044534
- task:
type: Classification
dataset:
name: MTEB AllegroReviews
type: PL-MTEB/allegro-reviews
config: default
split: test
revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
metrics:
- type: accuracy
value: 0.22713717693836974
- task:
type: Classification
dataset:
name: MTEB PAC
type: laugustyniak/abusive-clauses-pl
config: default
split: test
revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
metrics:
- type: accuracy
value: 0.5633651896901245
- task:
type: Clustering
dataset:
name: MTEB EightTagsClustering
type: PL-MTEB/8tags-clustering
config: default
split: test
revision: 78b962b130c6690659c65abf67bf1c2f030606b6
metrics:
- type: v_measure
value: 0.011462589437473216
- task:
type: PairClassification
dataset:
name: MTEB SICK-E-PL
type: PL-MTEB/sicke-pl-pairclassification
config: default
split: test
revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
metrics:
- type: ap
value: 0.5523380294645331
- task:
type: PairClassification
dataset:
name: MTEB CDSC-E
type: PL-MTEB/cdsce-pairclassification
config: default
split: test
revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
metrics:
- type: ap
value: 0.43095490774008566
- task:
type: PairClassification
dataset:
name: MTEB PSC
type: PL-MTEB/psc-pairclassification
config: default
split: test
revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
metrics:
- type: ap
value: 0.4035899331798161
- task:
type: STS
dataset:
name: MTEB STS22
type: mteb/sts22-crosslingual-sts
config: pl
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: cosine_spearman
value: -0.1003112640780357
- task:
type: STS
dataset:
name: MTEB STSBenchmarkMultilingualSTS
type: mteb/stsb_multi_mt
config: pl
split: dev
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
metrics:
- type: cosine_spearman
value: 0.3621828967981027
- task:
type: STS
dataset:
name: MTEB STSBenchmarkMultilingualSTS
type: mteb/stsb_multi_mt
config: pl
split: test
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
metrics:
- type: cosine_spearman
value: 0.36999667618778675
- task:
type: STS
dataset:
name: MTEB SICK-R-PL
type: PL-MTEB/sickr-pl-sts
config: default
split: test
revision: fd5c2441b7eeff8676768036142af4cfa42c1339
metrics:
- type: cosine_spearman
value: 0.43158198285416055
- task:
type: STS
dataset:
name: MTEB CDSC-R
type: PL-MTEB/cdscr-sts
config: default
split: test
revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
metrics:
- type: cosine_spearman
value: 0.4616750744735728
- task:
type: Clustering
dataset:
name: MTEB PlscClusteringS2S
type: PL-MTEB/plsc-clustering-s2s
config: default
split: test
revision: 39bcadbac6b1eddad7c1a0a176119ce58060289a
metrics:
- type: v_measure
value: 0.17960532151287045
- task:
type: Clustering
dataset:
name: MTEB PlscClusteringP2P
type: PL-MTEB/plsc-clustering-p2p
config: default
split: test
revision: 8436dd4c05222778013d6642ee2f3fa1722bca9b
metrics:
- type: v_measure
value: 0.1815461918111827