Natural Language Inference On Xnli French
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| BiLSTM-max | 68.3 | XNLI: Evaluating Cross-lingual Sentence Representations | - |
| CamemBERT (large) | 85.7 | CamemBERT: a Tasty French Language Model | - |
| FlauBERT (large) | 83.4 | FlauBERT: Unsupervised Language Model Pre-training for French | - |
| CamemBERT (base) | 81.2 | CamemBERT: a Tasty French Language Model | - |
| XLM (MLM+TLM) | 80.2 | Cross-lingual Language Model Pretraining | - |
| FlauBERT (base) | 80.6 | FlauBERT: Unsupervised Language Model Pre-training for French | - |
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