{
    "name": "cifar10_ELR_plus_PreActResNet18",
    "n_gpu": 1,
    "seed":123,

    "arch": {
        "args": {"num_classes":10}
    },

    "arch1": {
        "type": "PreActResNet18",
        "args": {"num_classes":10}
    },

    "arch2": {
        "type": "PreActResNet18",
        "args": {"num_classes":10}
    },
    
    "mixup_alpha": 1,
    "coef_step": 0,
    "num_classes": 10,
    "ema_alpha": 0.997,
    "ema_update": true,
    "ema_step": 40000,


    "data_loader": {
        "type": "CIFAR10DataLoader",
        "args":{
            "data_dir": "dir/to/data",
            "batch_size": 128,
            "batch_size2": 128,
            "num_batches": 0,
            "shuffle": true,
            "validation_split": 0,
            "num_workers": 8,
            "pin_memory": true
        }
    },


    "optimizer1": {
        "type": "SGD",
        "args":{
            "lr": 0.02,
            "momentum": 0.9,
            "weight_decay": 5e-4
        }
    },

    "optimizer2": {
        "type": "SGD",
        "args":{
            "lr": 0.02,
            "momentum": 0.9,
            "weight_decay": 5e-4
        }
    },


    
    "train_loss": {
        "type": "elr_plus_loss",
        "args":{
            "beta": 0.9,
            "lambda": 1
        }
    },

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

    "lr_scheduler": {
        "type": "MultiStepLR",
        "args": { 
            "milestones": [150],
            "gamma": 0.1
        }
    },

    "trainer": {
        "epochs": 200,
        "warmup": 0,
        "save_dir": "dir/to/model",
        "save_period": 1,
        "verbosity": 2,
        "label_dir": "saved/",
        
        "monitor": "max val_my_metric",
        "early_stop": 2000,

        "tensorboard": false,
        "mlflow": true,

        "_percent": "Percentage of noise",
        "percent": 0.4,
        "_begin": "When to begin updating labels",
        "begin": 0,
        "_asym": "symmetric noise if false",
        "asym": true
    }
}