metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_torah_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8413793103
- name: NER Recall
type: recall
value: 0.87517934
- name: NER F Score
type: f_score
value: 0.8579465541
| Feature | Description |
|---|---|
| Name | en_torah_ner |
| Version | 1.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 218765 keys, 218765 unique vectors (50 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
Citation, Group, Person |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
85.79 |
ENTS_P |
84.14 |
ENTS_R |
87.52 |
TOK2VEC_LOSS |
136797.07 |
NER_LOSS |
95967.72 |