metadata
tags:
- spacy
- token-classification
language:
- es
model-index:
- name: es_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9993506494
- name: NER Recall
type: recall
value: 0.9993506494
- name: NER F Score
type: f_score
value: 0.9993506494
| Feature | Description |
|---|---|
| Name | es_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.1,<3.6.0 |
| 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 (13 labels for 1 components)
| Component | Labels |
|---|---|
ner |
BILLING_PERIOD_END, BILLING_PERIOD_START, BILL_OWNER, COMPANY_NAME, CUPS, DIRECTION, ENERGY_P1_PRICE, ENERGY_P2_PRICE, ENERGY_P3_PRICE, NIF, POWER_P1_PRICE, POWER_P2_PRICE, TOTAL_IMPORTE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.94 |
ENTS_P |
99.94 |
ENTS_R |
99.94 |
TRANSFORMER_LOSS |
2258.66 |
NER_LOSS |
36353.76 |