update model card README.md

README.md

@@ -22,16 +22,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.9060056562967892
+      value: 0.8931730929727926
     - name: Recall
       type: recall
-      value: 0.9165264220801077
+      value: 0.9005385392123864
     - name: F1
       type: f1
-      value: 0.9112356730527901
+      value: 0.8968406938741306
     - name: Accuracy
       type: accuracy
-      value: 0.9852420077099802
+      value: 0.983217164440637
 ---
 
 <!-- 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: 0.0576
-- Precision: 0.9060
-- Recall: 0.9165
-- F1: 0.9112
-- Accuracy: 0.9852
+- Loss: 0.0666
+- Precision: 0.8932
+- Recall: 0.9005
+- F1: 0.8968
+- Accuracy: 0.9832
 
 ## Model description