- path.log_dir="outputs/convnext-base-224/mnist/batch_size=64,lr=0.01"
- seed=0
- method=classification/image_classification_finetune
- method.max_epochs=-1
- method.max_steps=4000
- method.save_top_k=-1
- method.save_interval=1000
- method.save_on_train_epoch_end=false
- method.optimizer.lr=0.01
- method.lr_scheduler=null
- method.dataloader_kwargs.batch_size=64
- modelpool=ConvNextForImageClassification/convnext-base-224
- modelpool.models._pretrained_.dataset_name=mnist
- +dataset/image_classification/train@modelpool.train_datasets=mnist
- +dataset/image_classification/test@modelpool.val_datasets=mnist