metadata
tags:
- spacy
- token-classification
language:
- is
model-index:
- name: is_ner_mim_sm
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8029028187
- name: NER Recall
type: recall
value: 0.7796160131
- name: NER F Score
type: f_score
value: 0.7910880829
| Feature | Description |
|---|---|
| Name | is_ner_mim_sm |
| Version | 0.0.0 |
| spaCy | >=3.1.1,<3.2.0 |
| 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 |
Date, Location, Miscellaneous, Money, Organization, Percent, Person, Time |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
79.11 |
ENTS_P |
80.29 |
ENTS_R |
77.96 |
TOK2VEC_LOSS |
1079057.14 |
NER_LOSS |
792494.23 |