Model: Sociovestix/lenu_ES
Author: Sociovestix
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, safetensors, bert, text-classification, model-index, endpoints_compatible, region:us
Card metadata: widget: HIERBAS TUNEL SL, BIOQUIM SA, PATRIMONI MUNICIPAL DE TERRASSA S.L.(SOCIEDAD UNIPERSONAL), BBVA CREDITO EUROPA, FI, HERENCIA YACENTE DE DOÑA M TERESA PENINA RIBAS, FUNDACIO CATALANA PER A LA RECERCA I LA INNOVACIO, KUTXABANK RENTA FIJA FP, DAMAS DE LA ASUNCION, CUDOS I SLP
model-index: name: Sociovestix/lenu_ES
results: task: type: text-classification
name: Text Classification
dataset: name: lenu
type: Sociovestix/lenu
config: ES
split: test
revision: f4d57b8d77a49ec5c62d899c9a213d23cd9f9428
metrics: type: f1
value: 0.9593116757799935
name: f1
verified: no, type: f1
value: 0.5899157188191361
name: f1 macro
args: average: macro
verified: no
Likes: 0 | All-time downloads: 4376
Created: 2022-11-28 13:58:16