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--- |
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tags: |
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- spacy |
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- token-classification |
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language: |
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- ja |
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license: CC-BY-SA-4.0 |
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model-index: |
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- name: ja_gsd_bert_wwm_unidic_lite |
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results: |
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- tasks: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.8496143959 |
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- name: Recall |
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type: recall |
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value: 0.8314465409 |
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- name: F Score |
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type: f_score |
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value: 0.840432295 |
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- tasks: |
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name: POS |
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type: token-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.0 |
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- tasks: |
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name: SENTER |
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type: token-classification |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.9201520913 |
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- name: Recall |
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type: recall |
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value: 0.9546351085 |
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- name: F Score |
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type: f_score |
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value: 0.9370764763 |
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- tasks: |
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name: UNLABELED_DEPENDENCIES |
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type: token-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9367795389 |
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- tasks: |
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name: LABELED_DEPENDENCIES |
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type: token-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9367795389 |
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--- |
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Japanese transformer pipeline (bert-base). Components: transformer, parser, ner. |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `ja_gsd_bert_wwm_unidic_lite` | |
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| **Version** | `3.1.1` | |
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| **spaCy** | `>=3.1.0,<3.2.0` | |
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| **Default Pipeline** | `transformer`, `parser`, `ner` | |
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| **Components** | `transformer`, `parser`, `ner` | |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
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| **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) | |
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| **License** | `CC BY-SA 4.0` | |
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| **Author** | [Megagon Labs Tokyo.](https://github.com/megagonlabs/UD_japanese_GSD) | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (45 labels for 2 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `aux`, `case`, `cc`, `ccomp`, `compound`, `cop`, `csubj`, `dep`, `det`, `dislocated`, `fixed`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `punct` | |
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| **`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` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `DEP_UAS` | 93.68 | |
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| `DEP_LAS` | 92.61 | |
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| `SENTS_P` | 92.02 | |
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| `SENTS_R` | 95.46 | |
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| `SENTS_F` | 93.71 | |
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| `ENTS_F` | 84.04 | |
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| `ENTS_P` | 84.96 | |
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| `ENTS_R` | 83.14 | |
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| `TAG_ACC` | 0.00 | |
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| `TRANSFORMER_LOSS` | 28861.67 | |
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| `PARSER_LOSS` | 1306248.63 | |
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| `NER_LOSS` | 13993.36 | |
