model update

README.md

@@ -17,13 +17,13 @@ model-index:
     metrics:
     - name: Micro F1 (tweet_eval/irony)
       type: micro_f1_tweet_eval/irony
-      value: None
+      value: 0.7959183673469388
     - name: Macro F1 (tweet_eval/irony)
       type: micro_f1_tweet_eval/irony
-      value: None
+      value: 0.791350632069195
     - name: Accuracy (tweet_eval/irony)
       type: accuracy_tweet_eval/irony
-      value: None
+      value: 0.7959183673469388
 pipeline_tag: text-classification
 widget:
 - text: Get the all-analog Classic Vinyl Edition of "Takin Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}}
@@ -50,9 +50,9 @@ Training split is `train` and parameters have been tuned on the validation split
 
 Following metrics are achieved on the test split `test` ([link](https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-irony/raw/main/metric.json)).
 
-- F1 (micro): None
-- F1 (macro): None
-- Accuracy: None
+- F1 (micro): 0.7959183673469388
+- F1 (macro): 0.791350632069195
+- Accuracy: 0.7959183673469388
 
 ### Usage
 Install tweetnlp via pip.