Model: research-backup/relbert-roberta-base-nce-b-nell
Author: research-backup
Pipeline: feature-extraction
Library: transformers
Tags: transformers, pytorch, roberta, feature-extraction, dataset:relbert/nell_relational_similarity, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: datasets: relbert/nell_relational_similarity
model-index: name: relbert/relbert-roberta-base-nce-b-nell
results: task: name: Relation Mapping
type: sorting-task
dataset: name: Relation Mapping
args: relbert/relation_mapping
type: relation-mapping
metrics: name: Accuracy
type: accuracy
value: 0.7011904761904761
verified: no, task: name: Analogy Questions (SAT full)
type: multiple-choice-qa
dataset: name: SAT full
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.3770053475935829
verified: no, task: name: Analogy Questions (SAT)
type: multiple-choice-qa
dataset: name: SAT
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.3827893175074184
verified: no, task: name: Analogy Questions (BATS)
type: multiple-choice-qa
dataset: name: BATS
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.3802112284602557
verified: no, task: name: Analogy Questions (Google)
type: multiple-choice-qa
dataset: name: Google
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.584
verified: no, task: name: Analogy Questions (U2)
type: multiple-choice-qa
dataset: name: U2
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.3991228070175439
verified: no, task: name: Analogy Questions (U4)
type: multiple-choice-qa
dataset: name: U4
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.41435185185185186
verified: no, task: name: Analogy Questions (ConceptNet Analogy)
type: multiple-choice-qa
dataset: name: ConceptNet Analogy
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.08053691275167785
verified: no, task: name: Analogy Questions (TREX Analogy)
type: multiple-choice-qa
dataset: name: TREX Analogy
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.639344262295082
verified: no, task: name: Analogy Questions (NELL-ONE Analogy)
type: multiple-choice-qa
dataset: name: NELL-ONE Analogy
args: relbert/analogy_questions
type: analogy-questions
metrics: name: Accuracy
type: accuracy
value: 0.7916666666666666
verified: no, task: name: Lexical Relation Classification (BLESS)
type: classification
dataset: name: BLESS
args: relbert/lexical_relation_classification
type: relation-classification
metrics: name: F1
type: f1
value: 0.8912159108030737
verified: no, name: F1 (macro)
type: f1_macro
value: 0.882832586768981
verified: no, task: name: Lexical Relation Classification (CogALexV)
type: classification
dataset: name: CogALexV
args: relbert/lexical_relation_classification
type: relation-classification
metrics: name: F1
type: f1
value: 0.7922535211267606
verified: no, name: F1 (macro)
type: f1_macro
value: 0.5399502573058529
verified: no, task: name: Lexical Relation Classification (EVALution)
type: classification
dataset: name: BLESS
args: relbert/lexical_relation_classification
type: relation-classification
metrics: name: F1
type: f1
value: 0.6045503791982665
verified: no, name: F1 (macro)
type: f1_macro
value: 0.6027670935592911
verified: no, task: name: Lexical Relation Classification (K&H+N)
type: classification
dataset: name: K&H+N
args: relbert/lexical_relation_classification
type: relation-classification
metrics: name: F1
type: f1
value: 0.9501286777491827
verified: no, name: F1 (macro)
type: f1_macro
value: 0.8672983510521417
verified: no, task: name: Lexical Relation Classification (ROOT09)
type: classification
dataset: name: ROOT09
args: relbert/lexical_relation_classification
type: relation-classification
metrics: name: F1
type: f1
value: 0.8749608273268568
verified: no, name: F1 (macro)
type: f1_macro
value: 0.8713638706052124
verified: no
Likes: 0 | All-time downloads: 257
Created: 2023-04-01 12:31:40