metadata
tags:
- spacy
- token-classification
- ner
language:
- it
model-index:
- name: it_ItLit800
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9747904918
- name: NER Recall
type: recall
value: 0.9781820932
- name: NER F Score
type: f_score
value: 0.9764833475
| Feature | Description |
|---|---|
| Name | it_ItLit800 |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| 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 (27 labels for 1 components)
| Component | Labels |
|---|---|
ner |
AGE, ANTRO, CHR, CULT, DATE, DATECEL, DATERNG, DIST, GEO, GPE, HON, KING, LOC, MATH, MISC, MON, NAME, NORP, ORG, PER, POI, QNT, QTM, REL, TIME, WRONG, XORG |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
97.65 |
ENTS_P |
97.48 |
ENTS_R |
97.82 |
TOK2VEC_LOSS |
215442.06 |
NER_LOSS |
129597.07 |