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---
tags:
- spacy
- token-classification
language:
- da
model-index:
- name: da_multi_dupli_rater_1_onto
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7817258883
- name: NER Recall
type: recall
value: 0.7877237852
- name: NER F Score
type: f_score
value: 0.7847133758
---
| Feature | Description |
| --- | --- |
| **Name** | `da_multi_dupli_rater_1_onto` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.0,<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 (18 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FACILITY`, `GPE`, `LANGUAGE`, `LAW`, `LOCATION`, `MONEY`, `NORP`, `ORDINAL`, `ORGANIZATION`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK OF ART` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 78.47 |
| `ENTS_P` | 78.17 |
| `ENTS_R` | 78.77 |
| `TRANSFORMER_LOSS` | 123029.54 |
| `NER_LOSS` | 428871.36 | |