Update README.md

README.md

@@ -1,49 +1,49 @@
 ---
 license: mit
 datasets:
-  - ai4privacy/open-pii-masking-500k-ai4privacy
+- ai4privacy/open-pii-masking-500k-ai4privacy
 language:
-  - en
+- en
 tags:
-  - pii
-  - redaction
-  - anonymisation
-  - english
-  - Pytorch
-  - legal liability
-  - transformers
-  - transformers.js
-
+- pii
+- redaction
+- anonymisation
+- english
+- Pytorch
+- legal liability
+- transformers
+- transformers.js
 model-index:
-  - name: english-anonymiser-openpii-ai4privacy
-    results:
-    - task:
-        type: token-classification
-        name: PII Masking
-      dataset:
-        type: ai4privacy/open-pii-masking-500k-ai4privacy
-        name: Open PII Masking 500K
-        split: english-validation
-      metrics:
-      - type: f1
-        value: 0.9882
-        name: F1 Score
-      - type: precision
-        value: 0.9882
-        name: Precision
-      - type: recall 
-        value: 0.9883
-        name: Recall
-      - type: accuracy
-        value: 0.9917
-        name: Accuracy
-
+- name: english-anonymiser-openpii-ai4privacy
+  results:
+  - task:
+      type: token-classification
+      name: PII Masking
+    dataset:
+      type: ai4privacy/open-pii-masking-500k-ai4privacy
+      name: Open PII Masking 500K
+      split: english-validation
+    metrics:
+    - type: f1
+      value: 0.9882
+      name: F1 Score
+    - type: precision
+      value: 0.9882
+      name: Precision
+    - type: recall
+      value: 0.9883
+      name: Recall
+    - type: accuracy
+      value: 0.9917
+      name: Accuracy
 metrics:
 - f1
 - precision
 - recall
 library_name: transformers
 pipeline_tag: token-classification
+base_model:
+- answerdotai/ModernBERT-base
 ---
 
 
@@ -115,4 +115,4 @@ This model card details the evaluation metrics and fine-tuning parameters for th
 
 ---
 
-*Ai4Privacy – Committed to protecting personal data in the age of AI.*
+*Ai4Privacy – Committed to protecting personal data in the age of AI.*