readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - es
  license: apache-2.0
  widget:
  - text: "La C0v!d es un 3ng@ño de los G0b!3rno$"
    example_title: "Word camouflage detection"
  model-index:
  - name: es_roberta_base_bne_leetspeak_ner
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.8979055626
      - name: NER Recall
        type: recall
        value: 0.9393701406
      - name: NER F Score
        type: f_score
        value: 0.9181699547
  ---
  | Feature | Description |
  | --- | --- |
  | **Name** | `es_roberta_base_bne_leetspeak_ner` |
  | **Version** | `0.0.0` |
  | **spaCy** | `>=3.2.1,<3.3.0` |
  | **Default Pipeline** | `transformer`, `ner` |
  | **Components** | `transformer`, `ner` |
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
  | **Sources** | [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) model a transformer-based masked language model for the Spanish language pre-trained with a total of 570GB of clean and deduplicated text compiled from the web crawlings performed by the National Library of Spain (Biblioteca Nacional de España) <br> [LeetSpeak-NER](https://huggingface.co/spaces/Huertas97/LeetSpeak-NER) app where this model is in production for countering information disorders|
  | **License** | Apache 2.0 |
  | **Author** | [Álvaro Huertas García](https://www.linkedin.com/in/alvaro-huertas-garcia/) at [AI+DA](http://aida.etsisi.upm.es/)  |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (4 labels for 1 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`ner`** | `INV_CAMO`, `LEETSPEAK`, `MIX`, `PUNCT_CAMO` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `ENTS_F` | 91.82 |
  | `ENTS_P` | 89.79 |
  | `ENTS_R` | 93.94 |
  | `TRANSFORMER_LOSS` | 166484.92 |
  | `NER_LOSS` | 318457.35 |