| --- |
| tags: |
| - spacy |
| - token-classification |
| language: |
| - en |
| model-index: |
| - name: en_scibert_ScienceIE |
| results: |
| - task: |
| name: NER |
| type: token-classification |
| metrics: |
| - name: NER Precision |
| type: precision |
| value: 0.9891304348 |
| - name: NER Recall |
| type: recall |
| value: 0.9923664122 |
| - name: NER F Score |
| type: f_score |
| value: 0.9907457812 |
| --- |
| | Feature | Description | |
| | --- | --- | |
| | **Name** | `en_scibert_ScienceIE` | |
| | **Version** | `0.0.0` | |
| | **spaCy** | `>=3.1.1,<3.2.0` | |
| | **Default Pipeline** | `transformer`, `ner` | |
| | **Components** | `transformer`, `ner` | |
| | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
| | **Sources** | n/a | |
| | **License** | n/a | |
| | **Author** | UBIAI (https://ubiai.tools) | |
|
|
| ### Label Scheme |
|
|
| <details> |
|
|
| <summary>View label scheme (3 labels for 1 components)</summary> |
|
|
| | Component | Labels | |
| | --- | --- | |
| | **`ner`** | `MATERIAL`, `PROCESS`, `TASK` | |
|
|
| </details> |
|
|
| ### Accuracy |
|
|
| | Type | Score | |
| | --- | --- | |
| | `ENTS_F` | 99.07 | |
| | `ENTS_P` | 98.91 | |
| | `ENTS_R` | 99.24 | |
| | `TRANSFORMER_LOSS` | 370249.46 | |
| | `NER_LOSS` | 216581.66 | |
