defaults.json

{
    "model_def": "model_defs.py",
    "dataset": "mnist",
    "path_prefix": "",
    "alpha_path": "__unused__",
    "training_params": {
        "method": "natural",
        "epochs": 80,
        "lr": 5e-4,
        "lr_decay_step": 10,
        "lr_decay_factor": 0.5,
        "lr_decay_milestones": [],
        "weight_decay": 0.0,
        "optimizer": "adam",
        "starting_epsilon": 0.00,
        "epsilon": 0.50,
        "schedule_length":61,
        "schedule_type": "linear",
        "norm": "Linf",
        "verbose": false, 
        "multi_gpu": false, 
        "loader_params": {"batch_size": 128, "shuffle_train": true},
        "method_params": {"batch_size": 128, "shuffle_train": true, "runnerup_only": false, "activity_reg": 0.000, "l1_reg": 0.000, "final-beta": 0.0, "final-kappa": 0.5, "convex-proj": 50, "bound_opts":{"same-slope": false, "zero-lb": false, "one-lb": false}, "batch_multiplier": 1}
    },
    "eval_params": {
        "method": "robust",
        "norm": "Linf",
        "verbose": false,
        "loader_params": {"batch_size": 256, "test_batch_size": 256, "shuffle_train": true},
        "method_params": {"bounded_input": true, "runnerup_only": false, "activity_reg": 0.000, "final-beta": 1.0, "final-kappa": 0.5, "bound_type": "interval", "convex-proj": null, "bound_opts": {"same-slope": false, "zero-lb": false, "one-lb": false}}
    }
}