Understanding Fine-tuning Procedure and Dataset of TypeScript Learning Model based on CodeT5
#2
by SmartBob - opened
Hello everyone,
I've recently come across a model on Hugging Face that builds upon the CodeT5 architecture for learning TypeScript. I'm intrigued by how this model was fine-tuned and the dataset it was trained on. Could someone shed some light on the fine-tuning procedure used for this model? Additionally, I'm curious about the dataset utilized during the training process. Any insights or resources regarding these aspects would be greatly appreciated.
Looking forward to your responses!