metadata
tags:
- spacy
- token-classification
language:
- es
license: apache-2.0
widget:
- text: La C0v!d es un 3ng@ño de los G0b!3rno$
example_title: Word camouflage detection
model-index:
- name: es_roberta_base_bne_leetspeak_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8979055626
- name: NER Recall
type: recall
value: 0.9393701406
- name: NER F Score
type: f_score
value: 0.9181699547
| Feature | Description |
|---|---|
| Name | es_roberta_base_bne_leetspeak_ner |
| Version | 0.0.0 |
| spaCy | >=3.2.1,<3.3.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | PlanTL-GOB-ES/roberta-base-bne model a transformer-based masked language model for the Spanish language pre-trained with a total of 570GB of clean and deduplicated text compiled from the web crawlings performed by the National Library of Spain (Biblioteca Nacional de España) LeetSpeak-NER app where this model is in production for countering information disorders |
| License | Apache 2.0 |
| Author | Álvaro Huertas García at AI+DA |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
INV_CAMO, LEETSPEAK, MIX, PUNCT_CAMO |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
91.82 |
ENTS_P |
89.79 |
ENTS_R |
93.94 |
TRANSFORMER_LOSS |
166484.92 |
NER_LOSS |
318457.35 |