metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_predii_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8568965517
- name: NER Recall
type: recall
value: 0.7729393468
- name: NER F Score
type: f_score
value: 0.8127555192
widget:
- text: Jens Peter Hansen kommer fra Danmark
| Feature | Description |
|---|---|
| Name | en_predii_ner |
| Version | 0.0.0 |
| spaCy | >=3.7.4,<3.8.0 |
| 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 (8 labels for 1 components)
| Component | Labels |
|---|---|
ner |
CHASSIS TYPE, COMPONENT, CORRECTIVE ACTION, FAILURE ISSUE, MANUFACTURER, PARTS, PROCESS, VEHICLE MODEL |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
81.28 |
ENTS_P |
85.69 |
ENTS_R |
77.29 |
TOK2VEC_LOSS |
74793.71 |
NER_LOSS |
798047.72 |