| ---
|
| 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
|
|
|
| <details>
|
|
|
| <summary>View label scheme (1 labels for 1 components)</summary>
|
|
|
| | Component | Labels |
|
| | --- | --- |
|
| | **`ner`** | `PROGRAM` |
|
|
|
| </details>
|
|
|
| ### Accuracy
|
|
|
| | Type | Score |
|
| | --- | --- |
|
| | `ENTS_F` | 99.53 |
|
| | `ENTS_P` | 99.22 |
|
| | `ENTS_R` | 99.84 |
|
| | `TOK2VEC_LOSS` | 12637.70 |
|
| | `NER_LOSS` | 4985.93 | |
