| | --- |
| | tags: |
| | - spacy |
| | - token-classification |
| | language: |
| | - en |
| | model-index: |
| | - name: en_nerry_rel_tok2vec |
| | results: |
| | - task: |
| | name: NER |
| | type: token-classification |
| | metrics: |
| | - name: NER Precision |
| | type: precision |
| | value: 0.5434782609 |
| | - name: NER Recall |
| | type: recall |
| | value: 1.0 |
| | - name: NER F Score |
| | type: f_score |
| | value: 0.7042253521 |
| | --- |
| | RE with tok2vec |
| |
|
| | | Feature | Description | |
| | | --- | --- | |
| | | **Name** | `en_nerry_rel_tok2vec` | |
| | | **Version** | `2.0.0` | |
| | | **spaCy** | `>=3.6.1,<3.7.0` | |
| | | **Default Pipeline** | `tok2vec`, `ner`, `relation_extractor` | |
| | | **Components** | `tok2vec`, `ner`, `relation_extractor` | |
| | | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
| | | **Sources** | n/a | |
| | | **License** | n/a | |
| | | **Author** | [HjAnthony]() | |
| |
|
| | ### Label Scheme |
| |
|
| | <details> |
| |
|
| | <summary>View label scheme (4 labels for 2 components)</summary> |
| |
|
| | | Component | Labels | |
| | | --- | --- | |
| | | **`ner`** | `CRIME`, `PERSON`, `PROCECUTION` | |
| | | **`relation_extractor`** | `INVOVLED_IN` | |
| | |
| | </details> |
| | |
| | ### Accuracy |
| | |
| | | Type | Score | |
| | | --- | --- | |
| | | `ENTS_F` | 70.42 | |
| | | `ENTS_P` | 54.35 | |
| | | `ENTS_R` | 100.00 | |
| | | `REL_MICRO_P` | 55.56 | |
| | | `REL_MICRO_R` | 100.00 | |
| | | `REL_MICRO_F` | 71.43 | |
| | | `TOK2VEC_LOSS` | 0.00 | |
| | | `RELATION_EXTRACTOR_LOSS` | 105.57 | |
