XLM-R large

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Natural Language Processing6 results

Cross-LingualonCoNLL Spanish
F1· 2022-10-23
79.5
SOTA
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings arXiv:2210.12623
Cross-Lingual TransferonCoNLL Spanish
F1· 2022-10-23
79.5
SOTA
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings arXiv:2210.12623
Cross-LingualonCoNLL Dutch
F1· 2022-10-23
79.7
best: 83.35 (Zero shot mBERT 3)
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings arXiv:2210.12623
Cross-LingualonCoNLL German
F1· 2022-10-23
74.5
best: 75.33 (SMTS Multi sim)
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings arXiv:2210.12623
Cross-Lingual TransferonCoNLL Dutch
F1· 2022-10-23
79.7
best: 83.35 (Zero shot mBERT 3)
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings arXiv:2210.12623
Cross-Lingual TransferonCoNLL German
F1· 2022-10-23
74.5
best: 75.33 (SMTS Multi sim)
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings arXiv:2210.12623