metadata
tags:
- spacy
- token-classification
language:
- grc
model-index:
- name: grc_ner_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9246733282
- name: NER Recall
type: recall
value: 0.9086102719
- name: NER F Score
type: f_score
value: 0.9165714286
| Feature | Description |
|---|---|
| Name | grc_ner_trf |
| Version | 3.7 |
| spaCy | >=3.7.4,<3.8.0 |
| 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 (9 labels for 1 components)
| Component | Labels |
|---|---|
ner |
EVENT, GOD, GPE, LANGUAGE, LOC, NORP, ORG, PERSON, WORK |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
91.44 |
ENTS_P |
91.72 |
ENTS_R |
91.16 |
TRANSFORMER_LOSS |
34008.99 |
NER_LOSS |
48633.82 |