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README.md

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 # DistilBERT Ticket Classifier (Distil_Bert_V3)
 
 ## Model Overview
-This is a fine-tuned **DistilBERT** model (`distilbert-base-cased`) designed to classify defect tickets and assign them to the appropriate team based on their text content. It cleaned the ticket data from Cleaned_Dataset.csv by fixing missing values input of ticket **Description**, **Comment**, and **Summary**, and predicts one of 5 team labels, each linked to a team email for automated routing.
+This is a fine-tuned **DistilBERT** model (`distilbert-base-cased`) designed to classify defect tickets and assign them to the appropriate team based on their text content. It cleaned the ticket data from Defect_ticket_V2.csv by fixing missing values input of ticket **Description**, **Comment**, and **Summary**, and predicts one of 5 team labels, each linked to a team email for automated routing.
 
 - **Model Type**: DistilBERT for Sequence Classification
 - **Framework**: PyTorch
 - **Repository**: [ZAM-ITI-110/Distil_Bert_V3](https://huggingface.co/ZAM-ITI-110/Distil_Bert_V3)
 - **License**: MIT (see YAML metadata above)
 - **Created**: February 2025
-- **Creator**: AUNGHLAINGTUN/ID6319250G NYP
+- **Creator**: AUNGHLAINGTUN/Student ID6319250G NYP
 
 ## Intended Use
 This model is intended for: