| | --- |
| | tags: |
| | - spacy |
| | - token-classification |
| | language: |
| | - es |
| | model-index: |
| | - name: es_COLNER |
| | results: |
| | - task: |
| | name: NER |
| | type: token-classification |
| | metrics: |
| | - name: NER Precision |
| | type: precision |
| | value: 0.9414893617 |
| | - name: NER Recall |
| | type: recall |
| | value: 0.8939393939 |
| | - name: NER F Score |
| | type: f_score |
| | value: 0.9170984456 |
| | --- |
| | | Feature | Description | |
| | | --- | --- | |
| | | **Name** | `es_COLNER` | |
| | | **Version** | `0.0.0` | |
| | | **spaCy** | `>=3.7.5,<3.8.0` | |
| | | **Default Pipeline** | `tok2vec`, `ner` | |
| | | **Components** | `tok2vec`, `ner` | |
| | | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) | |
| | | **Sources** | n/a | |
| | | **License** | n/a | |
| | | **Author** | [n/a]() | |
| |
|
| | ### Label Scheme |
| |
|
| | <details> |
| |
|
| | <summary>View label scheme (1 labels for 1 components)</summary> |
| |
|
| | | Component | Labels | |
| | | --- | --- | |
| | | **`ner`** | `LOC` | |
| |
|
| | </details> |
| |
|
| | ### Accuracy |
| |
|
| | | Type | Score | |
| | | --- | --- | |
| | | `ENTS_F` | 91.71 | |
| | | `ENTS_P` | 94.15 | |
| | | `ENTS_R` | 89.39 | |
| | | `TOK2VEC_LOSS` | 2941.78 | |
| | | `NER_LOSS` | 38738.45 | |
