---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_student_name_detector
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.8311688312
    - name: NER Recall
      type: recall
      value: 0.8421052632
    - name: NER F Score
      type: f_score
      value: 0.8366013072
---
| Feature | Description |
| --- | --- |
| **Name** | `en_student_name_detector` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.4.1,<3.5.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [longformer](https://huggingface.co./allenai/longformer-base-4096) |
| **License** | [Apache 2.0](https://huggingface.co./langdonholmes/en_student_name_detector/blob/main/LICENSE) |
| **Author** | [Langdon Holmes]() |

### Label Scheme

<details>

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

| Component | Labels |
| --- | --- |
| **`ner`** | `STUDENT` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 83.66 |
| `ENTS_P` | 83.12 |
| `ENTS_R` | 84.21 |
| `TRANSFORMER_LOSS` | 56255026.35 |
| `NER_LOSS` | 31154.89 |


### Training Data

6,293 student writing assignments were submitted as PDF files and student names were labeled by human raters (one rater per document). A preliminary model was trained and all disagreements between this model and the human annotations were adjudicated by two additional reviewers. The final labeled dataset has 1,155 student name annotations across 845 documents.