metadata
tags:
- spacy
- token-classification
language:
- uk
model-index:
- name: uk_ner_spacy
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9543899658
- name: NER Recall
type: recall
value: 0.9399213925
- name: NER F Score
type: f_score
value: 0.9471004243
datasets:
- lawinsider/uk_ner_contracts_spacy
| 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 |