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---
tags:
- spacy
- token-classification
language:
- en
license: cc-by-4.0
model-index:
- name: en_Disease_A_Z_Spacy
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.6352247605
- name: NER Recall
type: recall
value: 0.6482827776
- name: NER F Score
type: f_score
value: 0.6416873449
library_name: spacy
pipeline_tag: token-classification
---
| Feature | Description |
| --- | --- |
| **Name** | `en_Disease_A_Z_Spacy` |
| **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** | `cc-by-4.0` |
| **Author** | [Md Ataur Rahman]() |
### Label Scheme
<details>
<summary>View label scheme (11 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `Anatomy_E`, `Cause_E`, `Complication_E`, `Composition_E`, `Diagnosis_E`, `Disease_E`, `Medicine_E`, `Precaution_E`, `Riskfactor_E`, `Surgery_E`, `Symptom_E` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 64.17 |
| `ENTS_P` | 63.52 |
| `ENTS_R` | 64.83 |
| `TRANSFORMER_LOSS` | 1668093.31 |
| `NER_LOSS` | 1753164.48 |