| --- |
| tags: |
| - spacy |
| - token-classification |
| - ner |
| - resume matching |
| language: |
| - en |
| model-index: |
| - name: en_Resume_Matching_Keywords |
| results: |
| - task: |
| name: NER |
| type: token-classification |
| metrics: |
| - name: NER Precision |
| type: precision |
| value: 0.6585136406 |
| - name: NER Recall |
| type: recall |
| value: 0.799086758 |
| - name: NER F Score |
| type: f_score |
| value: 0.7220216606 |
| license: mit |
| --- |
| | Feature | Description | |
| | --- | --- | |
| | **Name** | `en_Resume_Matching_Keywords` | |
| | **Version** | `0.0.0` | |
| | **spaCy** | `>=3.7.4,<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** | [Priyanka Balivada]() | |
|
|
| ### Label Scheme |
|
|
| <details> |
|
|
| <summary>View label scheme (10 labels for 1 components)</summary> |
|
|
| | Component | Labels | |
| | --- | --- | |
| | **`ner`** | `CERTIFICATIONS`, `CGPA`, `EMAIL`, `EXPERIENCE`, `LOCATION`, `NAME`, `PHONE`, `QUALIFICATION`, `SCORES`, `SKILLS` | |
|
|
| </details> |
|
|
| ### Accuracy |
|
|
| | Type | Score | |
| | --- | --- | |
| | `ENTS_F` | 72.20 | |
| | `ENTS_P` | 65.85 | |
| | `ENTS_R` | 79.91 | |
| | `TRANSFORMER_LOSS` | 12326.97 | |
| | `NER_LOSS` | 19483.22 | |
