update model card README.md

README.md

@@ -22,16 +22,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8683215518658557
+      value: 0.8690143162744776
     - name: Recall
       type: recall
-      value: 0.8889262874453047
+      value: 0.8887579939414338
     - name: F1
       type: f1
-      value: 0.8785031185031185
+      value: 0.8787752724852317
     - name: Accuracy
       type: accuracy
-      value: 0.9809781550562673
+      value: 0.9810170943499085
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,10 +41,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dbmdz/bert-base-historic-multilingual-cased](https://huggingface.co/dbmdz/bert-base-historic-multilingual-cased) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0713
-- Precision: 0.8683
-- Recall: 0.8889
-- F1: 0.8785
+- Loss: 0.0710
+- Precision: 0.8690
+- Recall: 0.8888
+- F1: 0.8788
 - Accuracy: 0.9810
 
 ## Model description