---
tags:
- spacy
- token-classification
language:
- tr
model-index:
- name: MammoTagger
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.9974121996
    - name: NER Recall
      type: recall
      value: 0.9981502035
    - name: NER F Score
      type: f_score
      value: 0.9977810651
---
| Feature | Description |
| --- | --- |
| **Name** | `tr_MammoTagger` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.7.3,<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** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (5 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `ANAT`, `IMPRESSION`, `OBS-ABSENT`, `OBS-PRESENT`, `OBS-UNCERTAIN` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 99.78 |
| `ENTS_P` | 99.74 |
| `ENTS_R` | 99.82 |
| `TRANSFORMER_LOSS` | 114332.59 |
| `NER_LOSS` | 46645.46 |