update model card README.md

README.md

@@ -22,16 +22,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8690921853065045
+      value: 0.9002453676283949
     - name: Recall
       type: recall
-      value: 0.8446844798180785
+      value: 0.896
     - name: F1
       type: f1
-      value: 0.8567145245920544
+      value: 0.8981176669198953
     - name: Accuracy
       type: accuracy
-      value: 0.9826426490551073
+      value: 0.9843747637694087
 ---
 
 <!-- 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 [vesteinn/XLMR-ENIS](https://huggingface.co/vesteinn/XLMR-ENIS) on the mim_gold_ner dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0948
-- Precision: 0.8691
-- Recall: 0.8447
-- F1: 0.8567
-- Accuracy: 0.9826
+- Loss: 0.0827
+- Precision: 0.9002
+- Recall: 0.896
+- F1: 0.8981
+- Accuracy: 0.9844
 
 ## Model description