Update README.md

README.md

@@ -18,15 +18,33 @@ metrics:
 - precision
 - recall
 widget:
-- text: "The USD rallied by 10% last night"
-  example_title: "Bullish Sentiment"
-- text: "Covid-19 cases have been increasing over the past few months impacting earnings for global firms"
-  example_title: "Bearish Sentiment"
-- text: "the USD has been trending lower"
-  example_title: "Mildly Bearish Sentiment"
+- text: The USD rallied by 10% last night
+  example_title: Bullish Sentiment
+- text: >-
+    Covid-19 cases have been increasing over the past few months impacting
+    earnings for global firms
+  example_title: Bearish Sentiment
+- text: the USD has been trending lower
+  example_title: Mildly Bearish Sentiment
 model-index:
 - name: sec-bert-finetuned-finance-classification
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: financial_phrasebank
+      type: finance
+      args: sentence_50agree
+    metrics:
+    - type: F1
+      name: F1
+      value: 0.8744
+    - type: accuracy
+      name: accuracy
+      value: 0.8755
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -88,4 +106,4 @@ The following hyperparameters were used during training:
 - Transformers 4.17.0
 - Pytorch 1.10.0+cu111
 - Datasets 1.18.4
-- Tokenizers 0.11.6
+- Tokenizers 0.11.6