tags: - spacy - token-classification language: - en model-index: - name: en_ner_fashion results: - task: name: NER type: token-classification metrics: - name: Precision type: precision value: 0.0 - name: Recall type: recall value: 0.0 - name: F Score type: f_score value: 0.0
Feature | Description |
---|---|
Name | en_ner_fashion |
Version | 0.0.0 |
spaCy | >=3.1.0,<3.2.0 |
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
View label scheme (1 labels for 1 components)
Component | Labels |
---|---|
ner |
FASHION_BRAND |
Accuracy
Type | Score |
---|---|
ENTS_F |
0.00 |
ENTS_P |
0.00 |
ENTS_R |
0.00 |
TOK2VEC_LOSS |
1043.55 |
NER_LOSS |
1414323.43 |
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Evaluation results
- NER Precisionself-reported0.000
- NER Recallself-reported0.000
- NER F Scoreself-reported0.000