metadata
tags:
- spacy
- token-classification
language:
- tl
model-index:
- name: tl_custom_calamancy
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.961852861
- name: NER Recall
type: recall
value: 0.9633528265
- name: NER F Score
type: f_score
value: 0.9626022594
| Feature | Description |
|---|---|
| Name | tl_custom_calamancy |
| Version | 0.0.0 |
| spaCy | >=3.8.14,<3.9.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 714435 keys, 714435 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, MISC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
96.26 |
ENTS_P |
96.19 |
ENTS_R |
96.34 |
TOK2VEC_LOSS |
0.00 |
NER_LOSS |
23457.51 |