Feature | Description |
---|---|
Name | uk_ner_spacy |
Version | 0.0.0 |
spaCy | >=3.6.1,<3.7.0 |
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 (5 labels for 1 components)
Component | Labels |
---|---|
ner |
CLAUSE_NUMBER , CLAUSE_TITLE , CONTRACT_TYPE , DEFINITION_TITLE , MARGINAL |
Accuracy
Type | Score |
---|---|
ENTS_F |
94.71 |
ENTS_P |
95.44 |
ENTS_R |
93.99 |
TOK2VEC_LOSS |
18944.45 |
NER_LOSS |
38361.74 |
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Dataset used to train lawinsider/uk_ner_spacy
Evaluation results
- NER Precisionself-reported0.954
- NER Recallself-reported0.940
- NER F Scoreself-reported0.947