NIH_Experiment.json

{
    "DATASET": "NIH",
    "PATH": "Datasets/NIH/",
    "TARGET": "Airspace_Opacity",
    "LABELER_IDS": [[4323195249, 4295232296], [4295349121, 4295342357], [4295342357, 4295354117]],
    "K": 10,
    "SEEDS": [1, 2, 3, 4],
    "GT": true,
    "MOD": ["confidence", "ssl", "disagreement_diff"],

    "OVERLAP": [0, 100],
    "SAMPLE_EQUAL": [false, true],

    "SETTING": ["SSL_AL"],

    "NUM_EXPERTS": 2,
    "NUM_CLASSES": 2,

    "EXPERT_PREDICT": ["target", "right"],

    "AL": {
        "INITIAL_SIZE": [4, 8, 16, 32],
        "EPOCH_TRAIN": 40,
        "n_dataset": 2,
        "BATCH_SIZE": 4,
        "BATCH_SIZE_VAL": 32,
        "ROUNDS": [2, 4],
        "LABELS_PER_ROUND": [4, 8, 16],
        "EPOCHS_DEFER": 10,
        "COST": [[0, 0]],
        "PRELOAD": true,
        "PREPROCESS": true,
        "SSL_EPOCHS": 3
    
    },
    "SSL": {
        "PREBUILD": false,
        "TRAIN_BATCH_SIZE": 128,
        "TRAIN_BATCH_SIZE": 254,
        "TEST_BATCH_SIZE": 254,
        "N_EPOCHS": 5,
        "BATCHSIZE": 16,
        "N_IMGS_PER_EPOCH": 4381
    },
    "L2D": {
        "TRAIN_BATCH_SIZE": 128,
        "TEST_BATCH_SIZE": 128,
        "PRELOAD": true,
        "PREBUILD": true,
        "EPOCHS": 50,
        "VERMA": {},
        "HEMMER": {
            "EPOCHS": 50,
            "LR": 5e-3,
            "USE_LR_SCHEDULER": false,
            "DROPOUT": 0.00,
            "NUM_HIDDEN_UNITS": 30
        }
    },
    "NEPTUNE": {
        "NEPTUNE": false
    },
    "EMBEDDED": {
        "ARGS": {
            "dataset": "nih",
            "model": "resnet50",
            "num_classes": 2,
            "batch": 128,
            "lr": 0.001
        },
        "EPOCHS": 30
    },

    "CIFAR100": {
        "EXPERTS": {
            "123": {
                "strength": 60,
                "binary": false,
                "num_classes": 20,
                "per_s": 1.0,
                "per_w": 0.0
            },
            "456": {
                "strength": 60,
                "binary": false,
                "num_classes": 20,
                "per_s": 1.0,
                "per_w": 0.0
            }
        }
    },
        
    
    
    "epochs_pretrain": [0],
    "batch_size": 64,
    "alpha": 1.0,
    "epochs": 50,
    "patience": 35,
    "expert_type": "MLPMixer",
    "n_classes": 2,
    "k": 0,
    "n_experts": 2,
    "lr": 0.001,
    "weight_decay": 5e-4,
    "warmup_epochs": 5,
    "loss_type": "ova",
    "ckp_dir": "/Models",
    "experiment_name": "multiple_experts",

    "cluster": true,
    "IMAGE_SIZE": 128
}