---
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_pipeline
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.9573497322
    - name: NER Recall
      type: recall
      value: 0.9567803331
    - name: NER F Score
      type: f_score
      value: 0.9570649479
---
| Feature | Description |
| --- | --- |
| **Name** | `de_pipeline` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.3,<3.6.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (19 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `AN`, `EUN`, `GRT`, `GS`, `INN`, `LD`, `LDS`, `LIT`, `MRK`, `ORG`, `PER`, `RR`, `RS`, `ST`, `STR`, `UN`, `VO`, `VS`, `VT` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 95.71 |
| `ENTS_P` | 95.73 |
| `ENTS_R` | 95.68 |
| `TRANSFORMER_LOSS` | 11836.63 |
| `NER_LOSS` | 8009.96 |