Named Entity Recognition on LeNER-br
90.4F1 Score (LeNER-br)BERTimbau-base
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| BERTimbau-base2026.06 | 90.4 | — | — | — | |
| NeoBERT-PT2026.06 | 88.4 | — | — | — | |
| moBERTo-SWM-8ktokenizer=Portuguese2026.06 | 87.26 | — | — | — | |
| moBERTo-SWMtokenizer=Portuguese2026.06 | 87.1 | — | — | — | |
| NeoBERT-base2026.06 | 85.9 | — | — | — | |
| moBERTo-8ktokenizer=original2026.06 | 85.87 | — | — | — | |
| BERT-base2026.06 | 85 | — | — | — | |
| moBERTotokenizer=original2026.06 | 83.71 | — | — | — | |
| ModernBERT-base2026.06 | 82.4 | — | — | — | |
| Qwen3-0.6B-PT2026.06 | 71 | — | — | — | |
| Qwen-base2026.06 | 70.2 | — | — | — | |
| Albertina-900M Pt-BrTraining Mode=Fine-tuned2026.06 | — | 87.28 | 91.43 | 83.49 | |
| BERTimbauTraining Mode=Fine-tuned2026.06 | — | 90.48 | 91.64 | 89.35 | |
| BERTimbau LargeTraining Mode=Fine-tuned2026.06 | — | 90.54 | 92.24 | 88.9 | |
| BERTomelo BaseTraining Mode=Fine-tuned2026.06 | — | 91.37 | 92.29 | 90.46 | |
| BERTomelo LargeTraining Mode=Fine-tuned2026.06 | — | 91.05 | 92.75 | 89.42 | |
| BERTuguêsTraining Mode=Fine-tuned2026.06 | — | 89.56 | 90.59 | 88.55 | |
| mBERTTraining Mode=Fine-tuned2026.06 | — | 88.5 | 90.45 | 86.63 | |
| ModBERTBrTraining Mode=Fine-tuned2026.06 | — | 90.08 | 92.4 | 87.88 | |
| ModernBERTTraining Mode=Fine-tuned2026.06 | — | 75.76 | 78.03 | 73.61 | |
| XLM Roberta LargeTraining Mode=Fine-tuned2026.06 | — | 87.4 | 90.13 | 84.84 |