---
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_generic
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.9421775682
    - name: NER Recall
      type: recall
      value: 0.9493801653
    - name: NER F Score
      type: f_score
      value: 0.9457651539
---
| Feature | Description |
| --- | --- |
| **Name** | `en_generic` |
| **Version** | `0.0.3` |
| **spaCy** | `>=3.7.5,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `ner`, `textcat` |
| **Components** | `tok2vec`, `ner`, `textcat` |
| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |

### Label Scheme

<details>

<summary>View label scheme (29 labels for 2 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `BRAND`, `COLOR`, `DISPLAY`, `GENDER`, `MATERIAL`, `MEMORY`, `MISC`, `MODEL_IDENTIFIER`, `PROCESSOR`, `PRODUCT_TYPE`, `SEASON`, `SIZE_MEASUREMENT`, `STYLE_FIT`, `TECH_FEATURE` |
| **`textcat`** | `292`, `325`, `328`, `297`, `4745`, `267`, `204`, `207`, `2331`, `211`, `212`, `6228`, `187`, `5598`, `2271` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 94.58 |
| `ENTS_P` | 94.22 |
| `ENTS_R` | 94.94 |
| `CATS_SCORE` | 97.49 |
| `CATS_MICRO_P` | 97.14 |
| `CATS_MICRO_R` | 97.14 |
| `CATS_MICRO_F` | 97.14 |
| `CATS_MACRO_P` | 97.89 |
| `CATS_MACRO_R` | 97.15 |
| `CATS_MACRO_F` | 97.49 |
| `CATS_MACRO_AUC` | 99.84 |
| `TOK2VEC_LOSS` | 22259553.65 |
| `NER_LOSS` | 723658.37 |
| `TEXTCAT_LOSS` | 20.50 |