Named Entity Recognition on PxCorpus
93.6NER F1CamemBERT-B
Evaluation results
| Method | Links | |
|---|---|---|
| CamemBERT-BCorpus=OSCAR2026.01 | 93.6 | |
| CamemBERT-BCorpus=Wikipedia2026.01 | 92 | |
| FlauBERT-B2026.01 | 87.3 | |
| Pantagruel-BCorpus=Wikipedia2026.01 | 87 | |
| Pantagruel-BTokenizer=camtok, Corpus=Wikipedia2026.01 | 86.5 | |
| Pantagruel-BCorpus=Wikipedia, Objective=MLM2026.01 | 84.7 | |
| Pantagruel-L-14kSize=Large, Pre-training Data=14k hours2026.01 | 84.4 | |
| Pantagruel-L-114kSize=Large, Pre-training Data=114k hours2026.01 | 84.4 | |
| Pantagruel-BTokenizer=camtok, Corpus=OSCAR2026.01 | 82.7 | |
| LeBenchmark-w2v-L-14kBackbone=wav2vec 2.0, Size=Large, Pre-training Data=14k hours2026.01 | 82.4 | |
| Pantagruel-BCorpus=Cross-lingual, Objective=MLM2026.01 | 81.9 | |
| Pantagruel-B-1kSize=Base, Pre-training Data=1k hours2026.01 | 81.7 | |
| LeBenchmark-w2v-L-7kBackbone=wav2vec 2.0, Size=Large, Pre-training Data=7k hours2026.01 | 59.9 | |
| LeBenchmark-w2v-B-1kBackbone=wav2vec 2.0, Size=Base, Pre-training Data=1k hours2026.01 | 57.9 |