Model: UWV/wimbert-synth-v0
Author: UWV
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, modernbert, feature-extraction, multi-label, dutch, municipal-complaints, mbert, bert, pytorch, text-classification, nl, dataset:UWV/wim-synthetic-data-rd, dataset:UWV/wim_synthetic_data_for_testing_split_labels, arxiv:2509.06888, base_model:google-bert/bert-base-multilingual-cased, base_model:finetune:google-bert/bert-base-multilingual-cased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-multilingual-cased
Card metadata: language: nl
license: apache-2.0
library_name: transformers
pipeline_tag: text-classification
base_model: bert-base-multilingual-cased
tags: multi-label, dutch, municipal-complaints, mbert, bert, pytorch, safetensors
datasets: UWV/wim-synthetic-data-rd, UWV/wim_synthetic_data_for_testing_split_labels
metrics: f1, precision, recall, accuracy
model-index: name: WimBERT Synth v0
results: task: name: Multi-label Text Classification
type: text-classification
dataset: name: UWV/WIM Synthetic RD
type: UWV/wim-synthetic-data-rd
split: validation
subset: onderwerp
metrics: name: F1
type: f1
value: 0.936
verified: no, name: Precision
type: precision
value: 0.96
verified: no, name: Recall
type: recall
value: 0.914
verified: no, name: Accuracy
type: accuracy
value: 0.997
verified: no, task: name: Multi-label Text Classification
type: text-classification
dataset: name: UWV/WIM Synthetic RD
type: UWV/wim-synthetic-data-rd
split: validation
subset: beleving
metrics: name: F1
type: f1
value: 0.78
verified: no, name: Precision
type: precision
value: 0.837
verified: no, name: Recall
type: recall
value: 0.729
verified: no, name: Accuracy
type: accuracy
value: 0.975
verified: no
widget: Goedemiddag, ik heb al drie keer gebeld over mijn uitkering en krijg geen duidelijkheid.
Likes: 0 | All-time downloads: 98
Created: 2025-10-21 08:08:29