Update README.md

README.md

@@ -4,9 +4,17 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: clickbait_binary_detection
   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
@@ -30,15 +38,15 @@ Performance on test set:
 
 - Precision: 0.9233793490724882
 
--Recall : 0.9168756883647268
+- Recall : 0.9168756883647268
 
--Matthews Correlation Coefficient: 0.8402298675576902
+- Matthews Correlation Coefficient: 0.8402298675576902
 
--Precision of each class: [0.931899   0.91485969]
+- Precision of each class: [0.931899   0.91485969]
 
--Recall of each class: [0.95152505 0.88222632]
+- Recall of each class: [0.95152505 0.88222632]
 
--F1 score of each class: [0.94160977 0.89824671]
+- F1 score of each class: [0.94160977 0.89824671]
 
 
 ## Model description
@@ -88,4 +96,4 @@ 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