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---
tags:
- spacy
- token-classification
language:
- he
model-index:
- name: he_subref_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9611848825
- name: NER Recall
type: recall
value: 0.9651282051
- name: NER F Score
type: f_score
value: 0.9631525077
---
| Feature | Description |
| --- | --- |
| **Name** | `he_subref_ner` |
| **Version** | `1.0.0` |
| **spaCy** | `>=3.4.1,<3.5.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 394654 keys, 394654 unique vectors (50 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |
### Label Scheme
<details>
<summary>View label scheme (7 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `讚讛`, `讻讜转专转`, `诇讗-专爪讬祝`, `诇拽诪谉-诇讛诇谉`, `诪住驻专`, `住讬诪谉-讟讜讜讞`, `砖诐` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 96.32 |
| `ENTS_P` | 96.12 |
| `ENTS_R` | 96.51 |
| `TOK2VEC_LOSS` | 11226.82 |
| `NER_LOSS` | 2452.62 | |