update model card README.md

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: FacebookAI/roberta-base
 tags:
 - generated_from_trainer
+datasets:
+- hts98/UIT
 metrics:
 - precision
 - recall
@@ -10,7 +12,26 @@ metrics:
 - accuracy
 model-index:
 - name: ner_roberta
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: hts98/UIT
+      type: hts98/UIT
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.6042249936370577
+    - name: Recall
+      type: recall
+      value: 0.6798396334478809
+    - name: F1
+      type: f1
+      value: 0.6398059560706104
+    - name: Accuracy
+      type: accuracy
+      value: 0.8046732017950711
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,13 +39,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ner_roberta
 
-This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the hts98/UIT dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7774
-- Precision: 0.6016
-- Recall: 0.6747
-- F1: 0.6361
-- Accuracy: 0.8029
+- Loss: 1.7625
+- Precision: 0.6042
+- Recall: 0.6798
+- F1: 0.6398
+- Accuracy: 0.8047
 
 ## Model description