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Models/BERT large

BERT large

Reported on 7 benchmarks across 3 tasks · 1 paper · 4 SOTA

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

Natural Language Processing6 results

Sentiment AnalysisonAmazon Review Polarity
Accuracy· 2019-04-29
97.37
SOTA
Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848
Sentiment AnalysisonYelp Fine-grained classification
Error· 2019-04-29
29.32
best: 27.05 (XLNet)
SOTA
Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848
Sentiment AnalysisonYelp Binary classification
Error· 2019-04-29
1.89
best: 1.37 (XLNet)
SOTA
Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848
Sentiment AnalysisonAmazon Review Full
Accuracy· 2019-04-29
65.83
SOTA
Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848
Sentiment AnalysisonIMDb
Accuracy· 2019-04-29
95.49
best: 96.68 (RoBERTa-large with LlamBERT)
Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848
Text ClassificationonDBpedia
Error· 2019-04-29
0.68
best: 0.62 (XLNet)
Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848

Methodology1 result

ClassificationonDBpedia
Error· 2019-04-29
0.68
best: 0.62 (XLNet)
Unsupervised Data Augmentation for Consistency Training arXiv:1904.12848