is_ner_mim_trf / README.md
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---
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tags:
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- spacy
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- token-classification
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language:
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- is
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model-index:
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- name: is_ner_mim_trf
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  results:
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  - task:
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      name: NER
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      type: token-classification
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    metrics:
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    - name: NER Precision
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      type: precision
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      value: 0.9193318395
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    - name: NER Recall
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      type: recall
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      value: 0.9217728758
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    - name: NER F Score
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      type: f_score
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      value: 0.9205507394
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `is_ner_mim_trf` |
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| **Version** | `0.0.1` |
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| **spaCy** | `>=3.1.1,<3.2.0` |
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| **Default Pipeline** | `transformer`, `ner` |
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| **Components** | `transformer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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### Label Scheme
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<details>
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<summary>View label scheme (8 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `Date`, `Location`, `Miscellaneous`, `Money`, `Organization`, `Percent`, `Person`, `Time` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 92.06 |
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| `ENTS_P` | 91.93 |
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| `ENTS_R` | 92.18 |
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| `TRANSFORMER_LOSS` | 248325.98 |
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| `NER_LOSS` | 120059.07 |