| tags: | |
| - spacy | |
| - token-classification | |
| language: | |
| - da | |
| model-index: | |
| - name: da_ner | |
| results: | |
| - task: | |
| name: NER | |
| type: token-classification | |
| metrics: | |
| - name: NER Precision | |
| type: precision | |
| value: 0.9393939394 | |
| - name: NER Recall | |
| type: recall | |
| value: 0.9165571616 | |
| - name: NER F Score | |
| type: f_score | |
| value: 0.9278350515 | |
| | Feature | Description | | |
| | --- | --- | | |
| | **Name** | `da_ner` | | |
| | **Version** | `0.0.0` | | |
| | **spaCy** | `>=3.5.1,<3.6.0` | | |
| | **Default Pipeline** | `tok2vec`, `ner` | | |
| | **Components** | `tok2vec`, `ner` | | |
| | **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) | | |
| | **Sources** | n/a | | |
| | **License** | n/a | | |
| | **Author** | [n/a]() | | |
| ### Label Scheme | |
| <details> | |
| <summary>View label scheme (36 labels for 1 components)</summary> | |
| | Component | Labels | | |
| | --- | --- | | |
| | **`ner`** | `ADVERTISING`, `AMOUNTS_OF_THE_PRODUCT`, `AVAILABILITY`, `BRANDING`, `CUSTOMERS`, `DISCOUNTS_AND_OFFERS`, `DOCUMENTATION`, `EMPLOYEES`, `EXTERNAL_SUPPLIER`, `FACILITIES`, `FINANCING`, `HANDLING_OF_SERVICE`, `LEASING`, `LEGAL`, `LOCATIONS`, `LOCATION_IN_THE_STORE`, `LOGISTICS`, `MARKETING`, `MARKET_COVERAGE`, `MEDIA`, `MESSAGES`, `ORGANIZATIONAL_STRUCTURE`, `PAYMENT_TERMS`, `PR`, `PRICE`, `PRICE_STRATEGIES`, `PRODUCT_PROPERTIES`, `PRODUCT_TYPE`, `PRODUCT_WARRANTY`, `REFERENCES`, `RETURN_ON_INVESTMENT`, `SALES_PROCESS`, `SHOWROOM`, `THE_MANAGEMENT`, `UNIFORMITY_IN_DELIVERIES`, `USE_OF_THE_PRODUCT` | | |
| </details> | |
| ### Accuracy | |
| | Type | Score | | |
| | --- | --- | | |
| | `ENTS_F` | 92.78 | | |
| | `ENTS_P` | 93.94 | | |
| | `ENTS_R` | 91.66 | | |
| | `TOK2VEC_LOSS` | 46222.48 | | |
| | `NER_LOSS` | 80475.28 | |