| Feature | Description |
| --- | --- |
| **Name** | `de_APIS_OEBL_NER_lg` |
| **Version** | `1.0` |
| **spaCy** | `>=3.6.0,<3.7.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 500000 keys, 500000 unique vectors (300 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` | 77.85 |
| `ENTS_P` | 76.71 |
| `ENTS_R` | 79.03 |
| `TOK2VEC_LOSS` | 13266.36 |
| `NER_LOSS` | 378634.81 |

### 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 m2): https://github.com/acdh-oeaw/veld_chain_7_train/

Dataset available here: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition
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spacy token-classification de dataset:SteffRhes/APIS_OEBL__Named_Entity_Recognition license:mit model-index region:us