TL;DR - when training, a config.json is created and I would like to know how to define useful label ids, instead of the default “LABEL_0”.
I’ve defined a dataset loader, which includes a label feature. I’m calling functions such as:
model = ResNetForImageClassification.from_pretrained(...) train_dataset = load_dataset('custom/dataset/path', split='test') trainer = CustomTrainer(model=model, ...) trainer.train()
When it saves out checkpoints, it creates a
config.json with default id2label labels, such as “0”: “LABEL_0”. How can I pass the real labels so that it ends up in the id2label and label2id in config.json?