Edit model card
Feature Description
Name en_roberta_base_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 roberta-base pre-trained model on English language using a masked language modeling (MLM) objective by Yinhan Liu et al.
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 82.80
ENTS_P 79.66
ENTS_R 86.20
TRANSFORMER_LOSS 177808.42
NER_LOSS 608427.31
Downloads last month
3
Hosted inference API
Token Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Evaluation results