metadata
tags:
- spacy
- token-classification
language:
- pl
license: apache-2.0
model-index:
- name: pl_hacknationner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7677725118
- name: NER Recall
type: recall
value: 0.6403162055
- name: NER F Score
type: f_score
value: 0.6982758621
second round of training
| Feature | Description |
|---|---|
| Name | pl_hacknationNER |
| Version | 1.2 |
| spaCy | >=3.8.3,<3.9.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | apache-2.0 |
| Author | Ariel |
Label Scheme
View label scheme (23 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ADDRESS, AGE, BANK-ACCOUNT, CITY, COMPANY, DATE, DOCUMENT-NUMBER, EMAIL, ETHNICITY, HEALTH, JOB-TITLE, NAME, PESEL, PHONE, POLITICAL-VIEW, RELATIVE, RELIGION, SCHOOL-NAME, SECRET, SEX, SEXUAL-ORIENTATION, SURNAME, USERNAME |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
69.83 |
ENTS_P |
76.78 |
ENTS_R |
64.03 |
TOK2VEC_LOSS |
58885.11 |
NER_LOSS |
17819.95 |