| 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. |