Update README.md

README.md

@@ -1,8 +1,18 @@
 ---
 license: mit
+datasets:
+- openbmb/RLAIF-V-Dataset
+language:
+- en
+metrics:
+- accuracy
+library_name: sklearn
+pipeline_tag: text-classification
+tags:
+- code
 ---
 
 
 ## Model Training
 
-The sentiment analysis model is trained using a Support Vector Machine (SVM) classifier with a linear kernel. The cleaned text data is transformed into a bag-of-words representation using the CountVectorizer. The trained model is saved as `Sentiment_classifier_model.joblib`, and the corresponding TF-IDF vectorizer is saved as `vectorizer_model.joblib`.
+The sentiment analysis model is trained using a Support Vector Machine (SVM) classifier with a linear kernel. The cleaned text data is transformed into a bag-of-words representation using the CountVectorizer. The trained model is saved as `Sentiment_classifier_model.joblib`, and the corresponding TF-IDF vectorizer is saved as `vectorizer_model.joblib`.