Natural Language Inference on XNLI French (test)
85.7AccuracyCamemBERT_LARGE
Evaluation Results
| Method | Links | |
|---|---|---|
| CamemBERT_LARGEmode=fine-tuned, number of parameters=335M2019.11 | 85.7 | |
| XLM-RModel Size=LARGE2019.12 | 85.2 | |
| XLM-R_LARGEnumber of parameters=550M2019.11 | 85.2 | |
| FlauBERTModel Size=LARGE2019.12 | 83.4 | |
| CamemBERTmode=fine-tuned, number of parameters=110M2019.11 | 82.5 | |
| CamemBERT2019.12 | 81.2 | |
| FlauBERTModel Size=BASE2019.12 | 80.6 | |
| XLM_MLM-TLMnumber of parameters=250M2019.11 | 80.2 | |
| XLM-RModel Size=BASE2019.12 | 80.1 | |
| XLM-R_BASEnumber of parameters=270M2019.11 | 80.1 | |
| mBERT2019.12 | 76.9 | |
| mBERTnumber of parameters=175M2019.11 | 76.9 | |
| GenKnowSubBase Model=Phi-2, Evaluation Setting=Zero-shot, Setting=Avg2025.05 | 37.5 | |
| Phi-2Base Model=Phi-2, Evaluation Setting=Zero-shot2025.05 | 34.16 | |
| ArrowBase Model=Phi-2, Evaluation Setting=Zero-shot2025.05 | 34.16 | |
| GenKnowSubBase Model=Phi-2, Evaluation Setting=Zero-shot, Setting=En2025.05 | 31.83 |