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Models/ELECTRA

ELECTRA

Reported on 8 benchmarks across 6 tasks · 3 papers · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology5 results

Data MiningonIMDb Movie Reviews
Accuracy· 2023-08-07
95.6
SOTA
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining arXiv:2308.03235
Data MiningonIMDb Movie Reviews
F1· 2023-08-07
95.6
SOTA
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining arXiv:2308.03235
Interpretable Machine LearningonIMDb Movie Reviews
Accuracy· 2023-08-07
95.6
SOTA
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining arXiv:2308.03235
Interpretable Machine LearningonIMDb Movie Reviews
F1· 2023-08-07
95.6
SOTA
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining arXiv:2308.03235
ClassificationonUK Key Stage Readability
F1· 2024-11-26
71.3
best: 99.6 (ELECTRA + ANN)
What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics arXiv:2411.17593

Natural Language Processing3 results

Text ClassificationonUK Key Stage Readability
F1· 2024-11-26
71.3
best: 99.6 (ELECTRA + ANN)
What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics arXiv:2411.17593
Sentiment AnalysisonSST-2 Binary classification
Accuracy· 2020-03-23
96.9
best: 97.5 (T5-11B)
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators arXiv:2003.10555
Semantic Textual SimilarityonSTS Benchmark
Pearson Correlation
0.921
best: 0.929 (MT-DNN-SMART)