Sentence Embeddings For Biomedical Texts On 3
Métriques
F1
Precision
Recall
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | F1 | Precision | Recall |
|---|---|---|---|
| measuring-semantic-similarity-of-clinical | 86.8 | 85.76 | 88.15 |
| measuring-semantic-similarity-of-clinical | 89.75 | 88.93 | 90.76 |
| measuring-semantic-similarity-of-clinical | 89.3 | 87.31 | 91.53 |
| measuring-semantic-similarity-of-clinical | 84.21 | 83.36 | 85.2 |
| measuring-semantic-similarity-of-clinical | 89.3 | 87.99 | 90.78 |