


This is a roBERTa model for Named Entity Recognition, fine-tuned on OntoNotes v5 using Spacy in coNLL-2003 format and BIO tagged.
For more details: https://github.com/nicoladisabato/ner-with-transformers

| Feature | Description |
| --- | --- |
| **Name** | `en_roberta_fine_tuned_ner` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.5.0,<3.6.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | Nicola Disabato |

### Label Scheme

<details>

<summary>View label scheme (18 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 89.44 |
| `ENTS_P` | 89.37 |
| `ENTS_R` | 89.50 |
| `TRANSFORMER_LOSS` | 294822.05 |
| `NER_LOSS` | 316133.78 |
{"language": ["en"], "tags": ["spacy", "token-classification", "ner", "named-entity-recognition"]}
spacy token-classification ner named-entity-recognition en model-index region:us
TAGS
#spacy #token-classification #ner #named-entity-recognition #en #model-index #region-us 

This is a roBERTa model for Named Entity Recognition, fine-tuned on OntoNotes v5 using Spacy in coNLL-2003 format and BIO tagged.
For more details: URL



### Label Scheme



View label scheme (18 labels for 1 components)


### Accuracy




### Label Scheme



View label scheme (18 labels for 1 components) ### Accuracy
TAGS
#spacy #token-classification #ner #named-entity-recognition #en #model-index #region-us 
 ### Label Scheme



View label scheme (18 labels for 1 components) ### Accuracy
TAGS
#spacy #token-classification #ner #named-entity-recognition #en #model-index #region-us 
### Label Scheme



View label scheme (18 labels for 1 components)### Accuracy