I want to do some experiments on my own dataset, using the fine-tuning method.
But in the training script, the param 'data_set' only contains some open datasets.
My dataset only has 10 classes. If I changed the --nb_class to 10, an AssertionERROR will raise.
After skipping this assertion, my dataset starts to train but the ACC@1 is always 0%.
So is there something that I should do correctly train my own dataset?
I want to do some experiments on my own dataset, using the fine-tuning method. But in the training script, the param 'data_set' only contains some open datasets. My dataset only has 10 classes. If I changed the --nb_class to 10, an AssertionERROR will raise. After skipping this assertion, my dataset starts to train but the ACC@1 is always 0%. So is there something that I should do correctly train my own dataset?