ALBERTv2

Reported on 4 benchmarks across 2 tasks · 1 paper

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

Natural Language Processing2 results

Text ClassificationonR8
Accuracy· 2022-11-30
97.62
best: 98.451 (DeBERTa)
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets arXiv:2211.16878
Text ClassificationonMR
Accuracy· 2022-11-30
86.02
best: 93.3 (VLAWE)
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets arXiv:2211.16878

Methodology2 results

ClassificationonR8
Accuracy· 2022-11-30
97.62
best: 98.451 (DeBERTa)
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets arXiv:2211.16878
ClassificationonMR
Accuracy· 2022-11-30
86.02
best: 93.3 (VLAWE)
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets arXiv:2211.16878