---
license: cc-by-4.0
library_name: transformers
pipeline_tag: token-classification
metrics:
- f1 
- precision
- recall
---
         Label     P         R         F1      support
        ----------------------------------------------
         ANG       0.76      0.86      0.81        91
         DUC       0.46      0.53      0.49       323
         EVE       0.55      0.67      0.61       663
         FAC       0.52      0.54      0.53       804
         GPE       0.88      0.86      0.87      4915
         INFORMAL  0.00      0.00      0.00         8
         LOC       0.58      0.69      0.63       762
         MISC      0.62      0.63      0.63      1548
         ORG       0.75      0.79      0.77      5672
         PER       0.94      0.96      0.95      7892
         TIMEX     0.79      0.84      0.81      2623
         TTL       0.68      0.72      0.70      2830
         WOA       0.82      0.86      0.84      1102
        ---------------------------------------------
         Mean      0.80      0.83      0.81   Total: 29233

For additional information and the dataset the model was trained on, see https://github.com/IAHLT/hebrew_named_entities_open_dataset.