readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - en
  model-index:
  - name: en_acnl_electra_pipeline
    results:
    - task:
        name: POS
        type: token-classification
      metrics:
      - name: POS Accuracy
        type: accuracy
        value: 0.9769257272
    - task:
        name: SENTER
        type: token-classification
      metrics:
      - name: SENTER Precision
        type: precision
        value: 0.9508884151
      - name: SENTER Recall
        type: recall
        value: 0.94805839
      - name: SENTER F Score
        type: f_score
        value: 0.9494712937
    - task:
        name: UNLABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Unlabeled Dependencies Accuracy
        type: accuracy
        value: 0.9577103137
    - task:
        name: LABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Labeled Dependencies Accuracy
        type: accuracy
        value: 0.9577103137
  ---
  | Feature | Description |
  | --- | --- |
  | **Name** | `en_acnl_electra_pipeline` |
  | **Version** | `0.0.1` |
  | **spaCy** | `>=3.1.3,<3.2.0` |
  | **Default Pipeline** | `transformer`, `tagger`, `parser` |
  | **Components** | `transformer`, `tagger`, `parser` |
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
  | **Sources** | n/a |
  | **License** | GPL |
  | **Author** | Daniel Vasić() |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (87 labels for 2 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `VERB`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
  | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `dative`, `dep`, `det`, `dobj`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nummod`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `TAG_ACC` | 97.69 |
  | `DEP_UAS` | 95.77 |
  | `DEP_LAS` | 94.52 |
  | `SENTS_P` | 95.09 |
  | `SENTS_R` | 94.81 |
  | `SENTS_F` | 94.95 |
  | `TRANSFORMER_LOSS` | 6123357.72 |
  | `TAGGER_LOSS` | 338995.26 |
  | `PARSER_LOSS` | 4101825.66 |