| | ---
|
| | tags:
|
| | - spacy
|
| | - token-classification
|
| | language:
|
| | - es
|
| | model-index:
|
| | - name: es_COLNER_w_twitter
|
| | results:
|
| | - task:
|
| | name: NER
|
| | type: token-classification
|
| | metrics:
|
| | - name: NER Precision
|
| | type: precision
|
| | value: 0.87109375
|
| | - name: NER Recall
|
| | type: recall
|
| | value: 0.8779527559
|
| | - name: NER F Score
|
| | type: f_score
|
| | value: 0.8745098039
|
| | ---
|
| | | Feature | Description |
|
| | | --- | --- |
|
| | | **Name** | `es_COLNER_w_twitter` |
|
| | | **Version** | `0.0.0` |
|
| | | **spaCy** | `>=3.7.5,<3.8.0` |
|
| | | **Default Pipeline** | `transformer`, `ner` |
|
| | | **Components** | `transformer`, `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`** | `LOC` |
|
| |
|
| | </details>
|
| |
|
| | ### Accuracy
|
| |
|
| | | Type | Score |
|
| | | --- | --- |
|
| | | `ENTS_F` | 87.45 |
|
| | | `ENTS_P` | 87.11 |
|
| | | `ENTS_R` | 87.80 |
|
| | | `TRANSFORMER_LOSS` | 1978.18 |
|
| | | `NER_LOSS` | 7908.39 | |
