| ---
|
| tags:
|
| - spacy
|
| - token-classification
|
| language:
|
| - vi
|
| model-index:
|
| - name: vi_task_ner
|
| results:
|
| - task:
|
| name: NER
|
| type: token-classification
|
| metrics:
|
| - name: NER Precision
|
| type: precision
|
| value: 0.8979591837
|
| - name: NER Recall
|
| type: recall
|
| value: 0.8979591837
|
| - name: NER F Score
|
| type: f_score
|
| value: 0.8979591837
|
| ---
|
| This is ner model for task
|
|
|
| | Feature | Description |
|
| | --- | --- |
|
| | **Name** | `vi_task_ner` |
|
| | **Version** | `0.0.0` |
|
| | **spaCy** | `>=3.7.5,<3.8.0` |
|
| | **Default Pipeline** | `tok2vec`, `ner` |
|
| | **Components** | `tok2vec`, `ner` |
|
| | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
| | **Sources** | n/a |
|
| | **License** | n/a |
|
| | **Author** | [Chánh Hỷ]() |
|
|
|
| ### Label Scheme
|
|
|
| <details>
|
|
|
| <summary>View label scheme (5 labels for 1 components)</summary>
|
|
|
| | Component | Labels |
|
| | --- | --- |
|
| | **`ner`** | `DATE`, `LOCATION`, `PERSON`, `TASK`, `TIME` |
|
|
|
| </details>
|
|
|
| ### Accuracy
|
|
|
| | Type | Score |
|
| | --- | --- |
|
| | `ENTS_F` | 89.80 |
|
| | `ENTS_P` | 89.80 |
|
| | `ENTS_R` | 89.80 |
|
| | `TOK2VEC_LOSS` | 19657.96 |
|
| | `NER_LOSS` | 12221.95 | |
