| Feature | Description |
| --- | --- |
| **Name** | `en_Spacy_Custom_ner2` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.7.2,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `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 (14 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `BOOK`, `COMODITY`, `CONTAINER COUNT`, `CONTAINER SIZE`, `CONTAINER SIZE-COUNT`, `DESTINATION`, `ENQUIRY`, `HELP`, `INCOTERM`, `KYC`, `ORIGIN`, `SEARCH RATES`, `SHIP`, `SHIPMENT TYPE` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 99.34 |
| `ENTS_P` | 99.08 |
| `ENTS_R` | 99.60 |
| `TOK2VEC_LOSS` | 7290.77 |
| `NER_LOSS` | 70900.21 |
{"language": ["en"], "tags": ["spacy", "token-classification"]}
spacy token-classification en model-index region:us
TAGS
#spacy #token-classification #en #model-index #region-us 


### Label Scheme



View label scheme (14 labels for 1 components)


### Accuracy




### Label Scheme



View label scheme (14 labels for 1 components) ### Accuracy
TAGS
#spacy #token-classification #en #model-index #region-us 
 ### Label Scheme



View label scheme (14 labels for 1 components) ### Accuracy