config_cifar10_standard.json

{
    "name": "Experiment",
    "n_gpu": 1,
    "seed": 12,

    "comet": {
        "api": "**comet key**",
        "offline": true
    },

    "arch": {
        "type": "resnet18",
        "args": {"num_classes": 10,
                 "norm_layer_type": "no",
                 "conv_layer_type": "prec_conv",
                 "linear_layer_type": "linear",
                 "activation_layer_type": "relu"}
    },

    "num_classes": 10,

    "data_loader": {
        "type": "CIFAR10DataLoader",
	"args":{
            "data_dir": "**data dir**",
            "batch_size": 128,
            "shuffle": true,
            "num_batches": 0,
            "validation_split": 0,
            "num_workers": 8,
            "pin_memory": true
        }
    },

    "optimizer": {
        "type": "SGD",
        "args":{
            "lr": 0.1,
            "momentum": 0.9,
            "weight_decay": 1e-4
        }
    },


    "train_loss": "cross_entropy",
    "val_loss": "cross_entropy",
    "metrics": [
        "my_metric", "my_metric2"
    ],

    "lr_scheduler": {
        "type": "MultiStepLR",
        "args": {
            "milestones": [40, 80],
            "gamma": 0.1
        }
    },

    "trainer": {
        "epochs": 120,
        "save_dir": "saved/",
        "save_period": 1,
        "verbosity": 2,
        "label_dir": "saved/",
        "monitor": "max val_my_metric",
        "early_stop": 2000,
        "_percent": "Percentage of noise",
        "percent": 0.0,
        "_subset_percent": "Percentage of training data to use",
        "subset_percent": 1.0,
        "_asym": "Asymmetric noise if true",
        "asym": false,
        "_sym": "Symmetric noise if true",
        "sym": false,
	"do_adv": false
    }
}