|
---
|
|
tags:
|
|
- spacy
|
|
- token-classification
|
|
language:
|
|
- es
|
|
model-index:
|
|
- name: es_title_ner
|
|
results:
|
|
- task:
|
|
name: NER
|
|
type: token-classification
|
|
metrics:
|
|
- name: NER Precision
|
|
type: precision
|
|
value: 0.8831553974
|
|
- name: NER Recall
|
|
type: recall
|
|
value: 0.9046172539
|
|
- name: NER F Score
|
|
type: f_score
|
|
value: 0.893757503
|
|
---
|
|
| Feature | Description |
|
|
| --- | --- |
|
|
| **Name** | `es_title_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`** | `TITLE` |
|
|
|
|
</details>
|
|
|
|
### Accuracy
|
|
|
|
| Type | Score |
|
|
| --- | --- |
|
|
| `ENTS_F` | 89.38 |
|
|
| `ENTS_P` | 88.32 |
|
|
| `ENTS_R` | 90.46 |
|
|
| `TOK2VEC_LOSS` | 43569.32 |
|
|
| `NER_LOSS` | 40809.50 | |
