readme: ---
  tags:
  - spacy
  - token-classification
  - text-classification
  language:
  - en
  model-index:
  - name: en_tenarchexp3
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.95
      - name: NER Recall
        type: recall
        value: 0.8507462687
      - name: NER F Score
        type: f_score
        value: 0.8976377953
  ---
  | Feature | Description |
  | --- | --- |
  | **Name** | `en_tenarchexp3` |
  | **Version** | `0.0.0` |
  | **spaCy** | `>=3.2.4,<3.3.0` |
  | **Default Pipeline** | `tok2vec`, `ner`, `textcat_multilabel` |
  | **Components** | `tok2vec`, `ner`, `textcat_multilabel` |
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
  | **Sources** | n/a |
  | **License** | n/a |
  | **Author** | [n/a]() |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (7 labels for 2 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`ner`** | `Seniority`, `TechSkill` |
  | **`textcat_multilabel`** | `SoftwareEngineer`, `SiteReliabitliyEngineer`, `ProductManager`, `DataScientist`, `Designer` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `ENTS_F` | 89.76 |
  | `ENTS_P` | 95.00 |
  | `ENTS_R` | 85.07 |
  | `CATS_SCORE` | 71.89 |
  | `CATS_MICRO_P` | 47.92 |
  | `CATS_MICRO_R` | 86.79 |
  | `CATS_MICRO_F` | 61.74 |
  | `CATS_MACRO_P` | 39.21 |
  | `CATS_MACRO_R` | 55.42 |
  | `CATS_MACRO_F` | 44.90 |
  | `CATS_MACRO_AUC` | 71.89 |
  | `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
  | `TOK2VEC_LOSS` | 31131.44 |
  | `NER_LOSS` | 5486.16 |
  | `TEXTCAT_MULTILABEL_LOSS` | 5.73 |