Update README.md

README.md

@@ -9,7 +9,7 @@ pipeline_tag: text-classification
 
 # Model Card for orYx-models/finetuned-roberta-leadership-sentiment-analysis 
 
-- **Model Description:** This model is a finetuned version of the RoBERTa text classifier. It has been trained on a dataset comprising communications from corporate executives to their therapists. Its primary function is to determine whether statements from corporate executives convey a "Positive," "Negative," or "Neutral" sentiment, accompanied by a confidence level indicating the percentage of sentiment expressed in a statement. The sentiment analysis tool is specifically developed for our client firm called "LDS." Being a prototype tool by orYx Models, all feedback and insights from LDS will be used to further refine the model.
+- **Model Description:** This model is a finetuned version of the RoBERTa text classifier(cardiffnlp/twitter-roberta-base-sentiment-latest). It has been trained on a dataset comprising communications from corporate executives to their therapists. Its primary function is to determine whether statements from corporate executives convey a "Positive," "Negative," or "Neutral" sentiment, accompanied by a confidence level indicating the percentage of sentiment expressed in a statement. Being a prototype tool by orYx Models, all feedbacks and insights will be used to further refine the model.
 
 ## Model Details