Update README.md

README.md

@@ -23,27 +23,27 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.67106
+      value: 0.7052
     - name: Recall
       type: recall
-      value: 0.75554
+      value: 0.7606
     - name: F1
       type: f1
-      value: 0.7108
+      value: 0.7318
     - name: Accuracy
       type: accuracy
-      value: 0.91212
+      value: 0.9138
 ---
 
-# bert-base-chinese-finetuned-ner
+# RoBERTa-ext-large-chinese-finetuned-ner
 
 This model is a fine-tuned version of [chinese-roberta-wwm-ext-large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large) on the [gyr66/privacy_detection](https://huggingface.co/datasets/gyr66/privacy_detection) dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7408
-- Precision: 0.6711
-- Recall: 0.7555
-- F1: 0.7108
-- Accuracy: 0.9121
+- Loss: 0.7697
+- Precision: 0.7052
+- Recall: 0.7606
+- F1: 0.7318
+- Accuracy: 0.9138
 
 ## Model description