---
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_resume_ner_pipeline
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.9334257975
    - name: NER Recall
      type: recall
      value: 0.9734811958
    - name: NER F Score
      type: f_score
      value: 0.9530328062
---
A spaCy NER pipeline to extract resume information like name, skills, degree, etc.

| Feature | Description |
| --- | --- |
| **Name** | `en_resume_ner_pipeline` |
| **Version** | `0.1.1` |
| **spaCy** | `>=3.8.7,<3.9.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | `MIT` |
| **Author** | [Kalyan](https://huggingface.co/kalyanram3600/en_pipeline) |

### Label Scheme

<details>

<summary>View label scheme (11 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `College Name`, `Companies worked at`, `Degree`, `Designation`, `Email Address`, `Graduation Year`, `Location`, `Name`, `Skills`, `UNKNOWN`, `Years of Experience` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 95.30 |
| `ENTS_P` | 93.34 |
| `ENTS_R` | 97.35 |
| `TRANSFORMER_LOSS` | 2380063.94 |
| `NER_LOSS` | 1373288.48 |