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--- |
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tags: |
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- spacy |
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- token-classification |
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- text-classification |
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language: |
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- en |
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model-index: |
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- name: en_tenarchexp3 |
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results: |
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- task: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: NER Precision |
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type: precision |
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value: 0.95 |
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- name: NER Recall |
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type: recall |
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value: 0.8507462687 |
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- name: NER F Score |
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type: f_score |
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value: 0.8976377953 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_tenarchexp3` | |
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| **Version** | `0.0.0` | |
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| **spaCy** | `>=3.2.4,<3.3.0` | |
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| **Default Pipeline** | `tok2vec`, `ner`, `textcat_multilabel` | |
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| **Components** | `tok2vec`, `ner`, `textcat_multilabel` | |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
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| **Sources** | n/a | |
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| **License** | n/a | |
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| **Author** | [n/a]() | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (7 labels for 2 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `Seniority`, `TechSkill` | |
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| **`textcat_multilabel`** | `SoftwareEngineer`, `SiteReliabitliyEngineer`, `ProductManager`, `DataScientist`, `Designer` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `ENTS_F` | 89.76 | |
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| `ENTS_P` | 95.00 | |
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| `ENTS_R` | 85.07 | |
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| `CATS_SCORE` | 71.89 | |
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| `CATS_MICRO_P` | 47.92 | |
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| `CATS_MICRO_R` | 86.79 | |
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| `CATS_MICRO_F` | 61.74 | |
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| `CATS_MACRO_P` | 39.21 | |
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| `CATS_MACRO_R` | 55.42 | |
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| `CATS_MACRO_F` | 44.90 | |
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| `CATS_MACRO_AUC` | 71.89 | |
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| `CATS_MACRO_AUC_PER_TYPE` | 0.00 | |
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| `TOK2VEC_LOSS` | 31131.44 | |
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| `NER_LOSS` | 5486.16 | |
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| `TEXTCAT_MULTILABEL_LOSS` | 5.73 | |
