| --- |
| tags: |
| - spacy |
| - token-classification |
| language: |
| - is |
| model-index: |
| - name: is_ner_mim_sm |
| results: |
| - task: |
| name: NER |
| type: token-classification |
| metrics: |
| - name: NER Precision |
| type: precision |
| value: 0.8029028187 |
| - name: NER Recall |
| type: recall |
| value: 0.7796160131 |
| - name: NER F Score |
| type: f_score |
| value: 0.7910880829 |
| --- |
| | Feature | Description | |
| | --- | --- | |
| | **Name** | `is_ner_mim_sm` | |
| | **Version** | `0.0.0` | |
| | **spaCy** | `>=3.1.1,<3.2.0` | |
| | **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 (8 labels for 1 components)</summary> |
|
|
| | Component | Labels | |
| | --- | --- | |
| | **`ner`** | `Date`, `Location`, `Miscellaneous`, `Money`, `Organization`, `Percent`, `Person`, `Time` | |
|
|
| </details> |
|
|
| ### Accuracy |
|
|
| | Type | Score | |
| | --- | --- | |
| | `ENTS_F` | 79.11 | |
| | `ENTS_P` | 80.29 | |
| | `ENTS_R` | 77.96 | |
| | `TOK2VEC_LOSS` | 1079057.14 | |
| | `NER_LOSS` | 792494.23 | |
