Update README.md

README.md

@@ -21,7 +21,20 @@ model-index:
             metrics:
                 - name: F1
                   type: f1
-                  value: 0.51
+                  value: 0.5102
+          - task:
+                name: Text Classification
+                type: text-classification
+            dataset:
+                name: go_emotions
+                type: multilabel_classification
+                config: simplified
+                split: validation
+                args: simplified
+            metrics:
+                - name: F1
+                  type: f1
+                  value: 0.5227
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,6 +43,11 @@ should probably proofread and complete it, then remove this comment. -->
 # Text Classification GoEmotions
 
 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the [go_emotions](https://huggingface.co/datasets/go_emotions) dataset.
+It achieves the following results on the test set (with a threshold of 0.15):
+- Accuracy: 0.4175
+- Precision: 0.4934
+- Recall: 0.5621
+- F1: 0.5102
 
 ## Model description