metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_xlnet_jd_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.6717948718
- name: NER Recall
type: recall
value: 0.6787564767
- name: NER F Score
type: f_score
value: 0.675257732
Feature | Description |
---|---|
Name | en_pipeline |
Version | 0.0.0 |
spaCy | >=3.5.1,<3.6.0 |
Default Pipeline | transformer , ner |
Components | transformer , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (4 labels for 1 components)
Component | Labels |
---|---|
ner |
DIPLOMA , DIPLOMA_MAJOR , EXPERIENCE , SKILLS |
Accuracy
Type | Score |
---|---|
ENTS_F |
67.53 |
ENTS_P |
67.18 |
ENTS_R |
67.88 |
TRANSFORMER_LOSS |
65931.50 |
NER_LOSS |
91162.94 |