Training from scratch
Ugenteraan opened this issue · 13 comments
Ugenteraan commented
Hey everyone!
First off, thanks for the great work. I implemented my own version of I-JEPA (https://github.com/Ugenteraan/I-JEPA) by referencing to this repository.
I used the Doges 77 Breeds (https://www.kaggle.com/datasets/madibokishev/doges-77-breeds) dataset for the training. The loss goes down in a convincing manner during the SSL training. However during the downstream, when I load the pre-trained weights from the encoder and use probing, the accuracy is no better than a randomly initialized encoder weights.
Does anyone have a clue on what might have been the cause of this?
Thanks in advance! Cheers.