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---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_spacy_bert_small_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9214261575
- name: NER Recall
type: recall
value: 0.9177044766
- name: NER F Score
type: f_score
value: 0.9195615514
datasets:
- conllpp
---
| Feature | Description |
| --- | --- |
| **Name** | `en_spacy_bert_small_ner` |
| **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** | Abdulla Al Nuaimi |
### Label Scheme
<details>
<summary>View label scheme (4 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
</details>
### Accuracy (Validation)
| Type | Score |
| --- | --- |
| `ENTS_F` | 91.96 |
| `ENTS_P` | 92.14 |
| `ENTS_R` | 91.77 |
| `TRANSFORMER_LOSS` | 44301.15 |
| `NER_LOSS` | 117885.17 | |