---
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: 0.9453630482
    - name: NER Recall
      type: recall
      value: 0.9094052559
    - name: NER F Score
      type: f_score
      value: 0.927035601
---
| 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` | 92.70 |
| `ENTS_P` | 94.54 |
| `ENTS_R` | 90.94 |
| `TOK2VEC_LOSS` | 50522.21 |
| `NER_LOSS` | 55212.43 |