Dependency Parsing on Sequoia (test)
99.4POS AccuracyFlauBERT-B
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FlauBERT-BModel Size=Base2026.01 | 99.4 | 96 | |
| CamemBERT-B-WkModel Size=Base, Pre-training Data=Wikipedia2026.01 | 99.1 | 95 | |
| CamemBERT-B-OscModel Size=Base, Pre-training Data=OSCAR2026.01 | 99 | 95.6 | |
| Pantagruel-B-camtok-WkModel Size=Base, Tokenizer=CamemBERT, Pre-training Data=Wikipedia2026.01 | 99 | 94.3 | |
| Pantagruel-B-Wk-MLMModel Size=Base, Pre-training Data=Wikipedia, Objective=MLM2026.01 | 99 | 94.4 | |
| Pantagruel-B-camtok-OscModel Size=Base, Tokenizer=CamemBERT, Pre-training Data=OSCAR2026.01 | 99 | 93.9 | |
| Pantagruel-B-Crs-MLMModel Size=Base, Pre-training Data=Crs, Objective=MLM2026.01 | 98.7 | 92.5 | |
| Pantagruel-B-WkModel Size=Base, Pre-training Data=Wikipedia2026.01 | 98.5 | 93 |