--- tags: - spacy - token-classification language: - es model-index: - name: es_program_ner results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.992211838 - name: NER Recall type: recall value: 0.9984326019 - name: NER F Score type: f_score value: 0.9953125 --- | Feature | Description | | --- | --- | | **Name** | `es_program_ner` | | **Version** | `0.1.0` | | **spaCy** | `>=3.8.4,<3.9.0` | | **Default Pipeline** | `tok2vec`, `ner` | | **Components** | `tok2vec`, `ner` | | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | | **Sources** | n/a | | **License** | n/a | | **Author** | [n/a]() | ### Label Scheme
View label scheme (1 labels for 1 components) | Component | Labels | | --- | --- | | **`ner`** | `PROGRAM` |
### Accuracy | Type | Score | | --- | --- | | `ENTS_F` | 99.53 | | `ENTS_P` | 99.22 | | `ENTS_R` | 99.84 | | `TOK2VEC_LOSS` | 12637.70 | | `NER_LOSS` | 4985.93 |