File size: 1,332 Bytes
5d4d0c8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_resume_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8571050892
- name: NER Recall
type: recall
value: 0.8634971368
- name: NER F Score
type: f_score
value: 0.8602892398
---
| Feature | Description |
| --- | --- |
| **Name** | `en_resume_ner` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.7.5,<3.8.0` |
| **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`** | `AWARDS`, `CERTIFICATION`, `COLLEGE NAME`, `COMPANIES WORKED AT`, `CONTACT`, `DEGREE`, `DESIGNATION`, `EMAIL ADDRESS`, `LANGUAGE`, `LINKEDIN LINK`, `LOCATION`, `NAME`, `SKILLS`, `UNIVERSITY`, `Unlabelled`, `WORKED AS`, `YEAR OF GRADUATION`, `YEARS OF EXPERIENCE` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 86.03 |
| `ENTS_P` | 85.71 |
| `ENTS_R` | 86.35 |
| `TRANSFORMER_LOSS` | 396847.27 |
| `NER_LOSS` | 525302.40 | |