---
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_APIS_OEBL_NER_trf
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.8018080668
    - name: NER Recall
      type: recall
      value: 0.8484179544
    - name: NER F Score
      type: f_score
      value: 0.824454773
license: mit
datasets:
- SteffRhes/APIS_OEBL__Named_Entity_Recognition
library_name: spacy
pipeline_tag: token-classification
---
| Feature | Description |
| --- | --- |
| **Name** | `de_APIS_OEBL_NER_trf` |
| **Version** | `1.0` |
| **spaCy** | `>=3.6.0,<3.7.0` |
| **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 (3 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `LOC`, `ORG`, `PER` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 82.45 |
| `ENTS_P` | 80.18 |
| `ENTS_R` | 84.84 |
| `TRANSFORMER_LOSS` | 52932.36 |
| `NER_LOSS` | 52005.98 |


### Sources

Trained on data originating from the [APIS project](https://www.oeaw.ac.at/acdh/projects/completed-projects/apis) and the [Austrian Biographical Lexicon (ÖBL)](https://www.oeaw.ac.at/acdh/oebl).

Reproducible training context (model m3): https://github.com/acdh-oeaw/veld_chain_7_train/

Dataset available here: https://huggingface.co./datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition