readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - ja
  license: CC-BY-SA-4.0
  model-index:
  - name: ja_gsd_bert_wwm_unidic_lite
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.8496143959
      - name: NER Recall
        type: recall
        value: 0.8314465409
      - name: NER F Score
        type: f_score
        value: 0.840432295
    - task:
        name: POS
        type: token-classification
      metrics:
      - name: POS Accuracy
        type: accuracy
        value: 0.0
    - task:
        name: SENTER
        type: token-classification
      metrics:
      - name: SENTER Precision
        type: precision
        value: 0.9201520913
      - name: SENTER Recall
        type: recall
        value: 0.9546351085
      - name: SENTER F Score
        type: f_score
        value: 0.9370764763
    - task:
        name: UNLABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Unlabeled Dependencies Accuracy
        type: accuracy
        value: 0.9367795389
    - task:
        name: LABELED_DEPENDENCIES
        type: token-classification
      metrics:
      - name: Labeled Dependencies Accuracy
        type: accuracy
        value: 0.9367795389
  ---
  Japanese transformer pipeline (bert-base). Components: transformer, parser, ner.
  
  | Feature | Description |
  | --- | --- |
  | **Name** | `ja_gsd_bert_wwm_unidic_lite` |
  | **Version** | `3.1.1` |
  | **spaCy** | `>=3.1.0,<3.2.0` |
  | **Default Pipeline** | `transformer`, `parser`, `ner` |
  | **Components** | `transformer`, `parser`, `ner` |
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
  | **Sources** | [UD_Japanese-GSD](https://github.com/UniversalDependencies/UD_Japanese-GSD)<br />[UD_Japanese-GSD r2.8+NE](https://github.com/megagonlabs/UD_Japanese-GSD/releases/tag/r2.8-NE)<br />[SudachiDict_core](https://github.com/WorksApplications/SudachiDict)<br />[cl-tohoku/bert-base-japanese-whole-word-masking](https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking)<br />[unidic_lite](https://github.com/polm/unidic-lite) |
  | **License** | `CC BY-SA 4.0` |
  | **Author** | [Megagon Labs Tokyo.](https://github.com/megagonlabs/UD_japanese_GSD) |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (45 labels for 2 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `aux`, `case`, `cc`, `ccomp`, `compound`, `cop`, `csubj`, `dep`, `det`, `dislocated`, `fixed`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `punct` |
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `MOVEMENT`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PET_NAME`, `PHONE`, `PRODUCT`, `QUANTITY`, `TIME`, `TITLE_AFFIX`, `WORK_OF_ART` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `DEP_UAS` | 93.68 |
  | `DEP_LAS` | 92.61 |
  | `SENTS_P` | 92.02 |
  | `SENTS_R` | 95.46 |
  | `SENTS_F` | 93.71 |
  | `ENTS_F` | 84.04 |
  | `ENTS_P` | 84.96 |
  | `ENTS_R` | 83.14 |
  | `TAG_ACC` | 0.00 |
  | `TRANSFORMER_LOSS` | 28861.67 |
  | `PARSER_LOSS` | 1306248.63 |
  | `NER_LOSS` | 13993.36 |
  