metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_ner_prompting
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7636566332
- name: NER Recall
type: recall
value: 0.6975560081
- name: NER F Score
type: f_score
value: 0.7291112294
| Feature | Description |
|---|---|
| Name | en_ner_prompting |
| Version | 0.0.1 |
| spaCy | >=3.4.3,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (18 labels for 1 components)
| Component | Labels |
|---|---|
ner |
color, composition/scale, composition/view, context/emotion, context/era, context/weather, detail, influence/artist, influence/artwork, influence/genre, influence/repository, light, medium/illustration, medium/painting, medium/photography, medium/rendering, other, subject |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
72.91 |
ENTS_P |
76.37 |
ENTS_R |
69.76 |
TOK2VEC_LOSS |
25220.55 |
NER_LOSS |
221026.23 |