XLM-R Base

Reported on 2 benchmarks across 2 tasks · 1 paper · 1 SOTA

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

Natural Language Processing3 results

Slot FillingonMASSIVE
Slot F1 Score· 2022-04-18
83.6
SOTA
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages arXiv:2204.08582
Intent ClassificationonMASSIVE
Intent Accuracy· 2022-04-18
85.1
best: 86.1 (mT5 Base (encoder-only))
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages arXiv:2204.08582
Slot FillingonMASSIVE
Slot F1 Score· 2022-04-18
64.2
best: 83.6
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages arXiv:2204.08582