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UMCU/CardioNER.eu_XLMR
CardioNER.eu_XLMR is a token classification model from UMCU. Use it when you need labels on individual words, such as names. The card lists the license as gpl-3.0.
Downloads · 30 days
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From the Hugging Face model README
Training and inference using CardioNER.
Settings
Note: for inference we use poetry run python -m cardioner.main --inferency_only.. CardioNER with --pipe=dt4h.
Use with caution/not standalone: performance may be considerably less on external datasets.
| Setting | Averaging | Precision | Recall | F1 |
|---|---|---|---|---|
| Strict | Micro | 0.731 ± 0.008 | 0.710 ± 0.007 | 0.721 ± 0.007 |
| Strict | Macro | 0.760 ± 0.007 | 0.735 ± 0.008 | 0.749 ± 0.007 |
| Relaxed | Micro | 0.875 ± 0.005 | 0.849 ± 0.008 | 0.864 ± 0.005 |
| Relaxed | Macro | 0.885 ± 0.007 | 0.860 ± 0.007 | 0.872 ± 0.007 |
| Category | Precision (mean ± std) | Recall (mean ± std) | F1 (mean ± std) |
|---|---|---|---|
| DISEASE | 0.721 ± 0.010 | 0.705 ± 0.007 | 0.713 ± 0.009 |
| MEDICATION | 0.884 ± 0.011 | 0.847 ± 0.015 | 0.862 ± 0.012 |
| PROCEDURE | 0.754 ± 0.011 | 0.711 ± 0.010 | 0.730 ± 0.010 |
| SYMPTOM | 0.685 ± 0.008 | 0.680 ± 0.007 | 0.683 ± 0.009 |
| Category | Precision (mean ± std) | Recall (mean ± std) | F1 (mean ± std) |
|---|---|---|---|
| DISEASE | 0.877 ± 0.009 | 0.856 ± 0.011 | 0.868 ± 0.008 |
| MEDICATION | 0.934 ± 0.011 | 0.895 ± 0.016 | 0.915 ± 0.012 |
| PROCEDURE | 0.885 ± 0.008 | 0.835 ± 0.008 | 0.858 ± 0.007 |
| SYMPTOM | 0.850 ± 0.009 | 0.845 ± 0.007 | 0.845 ± 0.007 |