Update model card

README.md

@@ -1,3 +1,74 @@
+---
+language:
+- nl
+license: other
+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
+metrics:
+- f1
+- precision
+- recall
+- accuracy
+model-index:
+- name: WimBERT 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: 0.932
+    - name: Precision
+      type: precision
+      value: 0.960
+    - name: Recall
+      type: recall
+      value: 0.905
+    - name: Accuracy
+      type: accuracy
+      value: 0.998
+  - 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: 0.789
+    - name: Precision
+      type: precision
+      value: 0.859
+    - name: Recall
+      type: recall
+      value: 0.730
+    - name: Accuracy
+      type: accuracy
+      value: 0.971
+widget:
+- text: "Goedemiddag, ik heb al drie keer gebeld over mijn uitkering en krijg geen duidelijkheid."
+---
+
 # WimBERT v0
 
 WimBERT is a dual‑head, multi‑label classifier for Dutch municipal complaint messages.