Upload RobertaForSequenceClassification

README.md

@@ -1,18 +1,18 @@
 ---
-license: apache-2.0
 base_model: distilbert/distilroberta-base
-tags:
-- generated_from_trainer
 datasets:
 - financial_phrasebank
+license: apache-2.0
 metrics:
 - accuracy
+tags:
+- generated_from_trainer
 model-index:
 - name: my_miniroberta_model
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: financial_phrasebank
       type: financial_phrasebank
@@ -20,9 +20,9 @@ model-index:
       split: train
       args: sentences_allagree
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9713024282560706
+      name: Accuracy
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You