Update README.md

README.md

@@ -4,9 +4,17 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: clickbait_binary_detection_DeBERTa
   results: []
+datasets:
+- christinacdl/clickbait_notclickbait_dataset
+language:
+- en
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -21,6 +29,18 @@ It achieves the following results on the evaluation set:
 - Micro F1: 0.9069
 - Accuracy: 0.9069
 
+Performance on test set:
+
+- Accuracy: 0.911986301369863
+- F1 score: 0.9053903329555788
+- Precision: 0.9069346899004087
+- Recall : 0.9039394560612273
+- Matthews Correlation Coefficient: 0.8108686139956713
+
+- Precision of each class: [0.92560647 0.88826291]
+- Recall of each class: [0.93518519 0.87269373]
+- F1 score of each class: [0.93037117 0.88040949]
+
 ## Model description
 
 More information needed
@@ -70,4 +90,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.9.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3