DistilBERT 66M
Reported on 5 benchmarks across 4 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing5 results
- F1· 2019-10-0285.8best: 95.77 (XLNet+DSC)
- Accuracy· 2019-10-0244.4best: 95.9 (Turing NLR v5 XXL 5.4B (fine-tuned))
- Pearson Correlation· 2019-10-020.907best: 0.929 (MT-DNN-SMART)
- Accuracy· 2019-10-0291.3best: 97.5 (T5-11B)
- Accuracy· 2019-10-0292.82best: 96.68 (RoBERTa-large with LlamBERT)