Hi @praeclarumjj3,
I trained the DiNAT backbone model for my custom images and got decent results. Now, I want to perform finetuning on those trained weights for some of the internal tasks, where I will have 500 new images on a regular basis. Thus, you understand that combining entire data and retraining is a kill, hence I am looking for a way to be able to finetune the weights on oncoming 500 images. However, I couldn't find a way to freeze layers for DiNAT. The config file (unlike that for resnet) does not have FREEZE option for MODEL.BACKBONE. Can any of you give more info on how to approach this problem.
Hi @praeclarumjj3, I trained the DiNAT backbone model for my custom images and got decent results. Now, I want to perform finetuning on those trained weights for some of the internal tasks, where I will have 500 new images on a regular basis. Thus, you understand that combining entire data and retraining is a kill, hence I am looking for a way to be able to finetune the weights on oncoming 500 images. However, I couldn't find a way to freeze layers for DiNAT. The config file (unlike that for resnet) does not have FREEZE option for MODEL.BACKBONE. Can any of you give more info on how to approach this problem.
Thanks