Questions about training with DIP-IMU dataset #4
Description
Hello, your code repository has been very helpful for me to understand the training and fine-tuning process of your work. But I still have some questions. I noticed that the val datasets you used for fine-tuning are S9 and S10 of DIP, while the test datasets used for testing are also S9 and S10. These are the conclusions I got from your preprocess.py, but will such a fine-tuning process cause the model to want to over-understand the data distribution of S9 and S10 during training?
Is there any previous work that did this? Looking forward to your reply!