
| Feature | Description |
| --- | --- |
| **Name** | `en_pipeline` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.3.1,<3.4.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | MIT |
| **Author** | [Dian Kurniasari]() |

### Label Scheme

<details>

<summary>View label scheme (6 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `geneexpression`, `localization`, `negativeregulation`, `phosphorylation`, `positiveregulation`, `proteincatabolism` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 100.00 |
| `ENTS_P` | 100.00 |
| `ENTS_R` | 100.00 |
| `TOK2VEC_LOSS` | 92639.74 |
| `NER_LOSS` | 12636.18 |
{"language": ["en"], "license": "mit", "tags": ["spacy", "token-classification"]}
spacy token-classification en license:mit model-index region:us
TAGS
#spacy #token-classification #en #license-mit #model-index #region-us 


### Label Scheme



View label scheme (6 labels for 1 components)


### Accuracy




### Label Scheme



View label scheme (6 labels for 1 components) ### Accuracy
TAGS
#spacy #token-classification #en #license-mit #model-index #region-us 
 ### Label Scheme



View label scheme (6 labels for 1 components) ### Accuracy
passage: TAGS
#spacy #token-classification #en #license-mit #model-index #region-us 
### Label Scheme



View label scheme (6 labels for 1 components)### Accuracy