readme: ---
  tags:
  - spacy
  - text-classification
  language:
  - en
  model-index:
  - name: en_tenarch_archetypes
    results: []
  ---
  | Feature | Description |
  | --- | --- |
  | **Name** | `en_tenarch_archetypes` |
  | **Version** | `0.1.1` |
  | **spaCy** | `>=3.2.4,<3.3.0` |
  | **Default Pipeline** | `tok2vec`, `textcat_multilabel` |
  | **Components** | `tok2vec`, `textcat_multilabel` |
  | **Vectors** | 86498 keys, 86498 unique vectors (100 dimensions) |
  | **Sources** | n/a |
  | **License** | n/a |
  | **Author** | [n/a]() |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (7 labels for 1 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`textcat_multilabel`** | `SoftwareEngineer`, `QAEngineer`, `DataScientist`, `ProductManager`, `EngineeringManager`, `DevopsEngineer`, `Designer` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `CATS_SCORE` | 56.78 |
  | `CATS_MICRO_P` | 41.39 |
  | `CATS_MICRO_R` | 82.78 |
  | `CATS_MICRO_F` | 55.19 |
  | `CATS_MACRO_P` | 40.58 |
  | `CATS_MACRO_R` | 39.39 |
  | `CATS_MACRO_F` | 39.85 |
  | `CATS_MACRO_AUC` | 56.78 |
  | `CATS_MACRO_AUC_PER_TYPE` | 0.00 |
  | `TOK2VEC_LOSS` | 0.04 |
  | `TEXTCAT_MULTILABEL_LOSS` | 0.06 |