Cross Lingual Transfer On Xcopa
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| mGPT | 55.5 | mGPT: Few-Shot Learners Go Multilingual | - |
| MAD-X Base | 60.94 | MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer | - |
| PaLM 2 (few-shot) | 94.4 | PaLM 2 Technical Report | - |
| mT0-13B | 84.45 | Crosslingual Generalization through Multitask Finetuning | - |
| RoBERTa Large (translate test) | 76.05 | XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning | - |
| BLOOMZ | 75.5 | Crosslingual Generalization through Multitask Finetuning | - |
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