---
widget:
 - text: "
 cvdqs
 qdfvfsd
 dfq
 "
tags:
- spacy
- token-classification
- cv
- resume parsing
- resume extraction
- named entity recognition
language:
- en
- fr
model-index:
- name: en_cv_info_extr
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.8333333333
    - name: NER Recall
      type: recall
      value: 0.8067729084
    - name: NER F Score
      type: f_score
      value: 0.8198380567
library_name: spacy
pipeline_tag: token-classification
---

# Information extraction from Resumes/CVs written in English

| Feature | Description |
| --- | --- |
| **Name** | `en_cv_info_extr` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.6.1,<3.7.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [Youssef Chafiqui](https://huggingface.co/ychafiqui) |

### Label Scheme

<details>

<summary>View label scheme (14 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `ADDRESS`, `CERTIFICATION`, `EDUCATION`, `EMAIL`, `EXPERIENCE`, `FNAME`, `HOBBY`, `HSKILL`, `LANGUAGE`, `LNAME`, `PHONE`, `PROFILE`, `PROJECT`, `SSKILL` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 81.98 |
| `ENTS_P` | 83.33 |
| `ENTS_R` | 80.68 |
| `TRANSFORMER_LOSS` | 1473.09 |
| `NER_LOSS` | 287784.88 |