update model card README.md

README.md

@@ -22,16 +22,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.9180518617021277
+      value: 0.9121408403919614
     - name: Recall
       type: recall
-      value: 0.9294850218781555
+      value: 0.9242679232581622
     - name: F1
       type: f1
-      value: 0.9237330657300552
+      value: 0.9181643400484828
     - name: Accuracy
       type: accuracy
-      value: 0.9873057902729645
+      value: 0.9862154900510105
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,11 +41,11 @@ 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: 0.0563
-- Precision: 0.9181
-- Recall: 0.9295
-- F1: 0.9237
-- Accuracy: 0.9873
+- Loss: 0.0572
+- Precision: 0.9121
+- Recall: 0.9243
+- F1: 0.9182
+- Accuracy: 0.9862
 
 ## Model description