metadata
tags:
- spacy
- token-classification
language:
- multilingual
model-index:
- name: xx_ner_sport_entities_uncased
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9038461538
- name: NER Recall
type: recall
value: 0.9591836735
- name: NER F Score
type: f_score
value: 0.9306930693
| Feature | Description |
|---|---|
| Name | xx_ner_sport_entities_uncased |
| Version | 1.9.0 |
| spaCy | >=3.4.4,<3.5.0 |
| 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 (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ALIAS_TEAM, PLAYER, TEAM, TOURNAMENT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
93.07 |
ENTS_P |
90.38 |
ENTS_R |
95.92 |
TRANSFORMER_LOSS |
201822.29 |
NER_LOSS |
468699.39 |