Update README.md

README.md

@@ -23,7 +23,20 @@ widget:
   example_title: "Neutral Sentiment"
 model-index:
 - name: finbert-tone-finetuned-fintwitter-classification
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: twitter-financial-news-sentiment
+      type: finance
+    metrics:
+    - type: F1
+      name: F1
+      value: 0.8838
+    - type: accuracy
+      name: accuracy
+      value: 0.8840
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +46,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on [Twitter Financial News](https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment) dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4236
-- Accuracy: 0.8823
-- F1: 0.8823
-- Precision: 0.8825
-- Recall: 0.8823
+- Loss: 1.4078
+- Accuracy: 0.8840
+- F1: 0.8838
+- Precision: 0.8838
+- Recall: 0.8840
 
 ## Model description