conda env create -f environment
conda activate diploma
python src/train.py dataset.data_root={Root directory where images are downloaded to}
random_seed: 0
logs_root_dir: ./logs
dataset:
name: celeba
data_root: /home/rafayel/datasets
download: false
batch_size: 128
num_workers: 0
confounder_name: Male
target_name: Blond_Hair
sampler: None
network:
name: resnet50
pretrained: true
num_target_classes: 2
optimizer:
name: sgd
lr: 0.0001
momentum: 0.9
weight_decay: 0.0001
nesterov: false
trainer:
name: standard
gpus: 1
precision: 16
max_epochs: 50
checkpoint_callback: false
group_dro: false
group_weight_step: 0.1
gradient_clip_val: 0
log_every_n_steps: 50
progress_bar_refresh_rate: 50
scheduler:
name: disabled
logger:
name: tensorboard
run_name: default
run_version: null
hsic:
name: constant_weight
weight: 0