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Models/MultiFiT, pseudo

MultiFiT, pseudo

Reported on 12 benchmarks across 2 tasks · 1 paper · 12 SOTA

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

Natural Language Processing12 results

Cross-LingualonMLDoc Zero-Shot English-to-Japanese
Accuracy· 2019-09-10
69.57
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-LingualonMLDoc Zero-Shot English-to-French
Accuracy· 2019-09-10
89.42
best: 96.05 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-LingualonMLDoc Zero-Shot English-to-Chinese
Accuracy· 2019-09-10
82.48
best: 93.32 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-LingualonMLDoc Zero-Shot English-to-Spanish
Accuracy· 2019-09-10
79.1
best: 96.8 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-LingualonMLDoc Zero-Shot English-to-Russian
Accuracy· 2019-09-10
67.83
best: 89.7 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-LingualonMLDoc Zero-Shot English-to-Italian
Accuracy· 2019-09-10
76.02
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-Japanese
Accuracy· 2019-09-10
69.57
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-French
Accuracy· 2019-09-10
89.42
best: 96.05 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-Chinese
Accuracy· 2019-09-10
82.48
best: 93.32 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-Spanish
Accuracy· 2019-09-10
79.1
best: 96.8 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-Russian
Accuracy· 2019-09-10
67.83
best: 89.7 (XLMft UDA)
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761
Cross-Lingual Document ClassificationonMLDoc Zero-Shot English-to-Italian
Accuracy· 2019-09-10
76.02
SOTA
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning arXiv:1909.04761