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train_scaling_data.sh
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train_scaling_data.sh
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# basic
python train.py \
experiment=basic_resnet_subtract \
logging.wandb.tags="[basic, scale_data]" \
dataset.dataset_cfg.train.n_samples=10000
python train.py \
experiment=basic_resnet_subtract \
logging.wandb.tags="[basic, scale_data]" \
dataset.dataset_cfg.train.n_samples=50000
# event
python train.py \
experiment=event_resnet_subtract_former \
logging.wandb.tags="[event, scale_data]" \
dataset.dataset_cfg.train.n_samples=10000
python train.py \
experiment=event_resnet_subtract_former \
logging.wandb.tags="[event, scale_data]" \
dataset.dataset_cfg.train.n_samples=50000
python train.py \
experiment=event_resnet_subtract_former \
logging.wandb.tags="[event, scale_data]" \
dataset.dataset_cfg.train.n_samples=100000
python train.py \
experiment=event_resnet_subtract_former \
logging.wandb.tags="[event, scale_data]" \
dataset.dataset_cfg.train.n_samples=200000
python train.py \
experiment=event_resnet_subtract_former \
logging.wandb.tags="[event, scale_data]" \
dataset.dataset_cfg.train.n_samples=300000
python train.py \
experiment=event_resnet_subtract_former \
logging.wandb.tags="[event, scale_data]" \
dataset.dataset_cfg.train.n_samples=400000
# view
python train.py \
experiment=view_resnet_subtract_former \
logging.wandb.tags="[view, scale_data]" \
dataset.dataset_cfg.train.n_samples=10000
python train.py \
experiment=view_resnet_subtract_former \
logging.wandb.tags="[view, scale_data]" \
dataset.dataset_cfg.train.n_samples=50000
python train.py \
experiment=view_resnet_subtract_former \
logging.wandb.tags="[view, scale_data]" \
dataset.dataset_cfg.train.n_samples=100000
python train.py \
experiment=view_resnet_subtract_former \
logging.wandb.tags="[view, scale_data]" \
dataset.dataset_cfg.train.n_samples=200000
python train.py \
experiment=view_resnet_subtract_former \
logging.wandb.tags="[view, scale_data]" \
dataset.dataset_cfg.train.n_samples=300000
python train.py \
experiment=view_resnet_subtract_former \
logging.wandb.tags="[view, scale_data]" \
dataset.dataset_cfg.train.n_samples=400000