config_conv

{
    "system": "/home/astrakhantsev/nqs_frustrated_phase/data/kagome/24/exact",
    "model": "/home/astrakhantsev/nqs_frustrated_phase/models/dense_64_ReLU_64_ReLU_2.py",
    "output": "/home/astrakhantsev/nqs_frustrated_phase/workdir/kagome/24/dense_64_ReLU_64_ReLU_2/wip_uniform",
    "j2" : [0.0, 0.10, 0.20, 0.30, 0.325, 0.35, 0.375, 0.40, 0.425, 0.45, 0.475, 0.50, 0.525, 0.55, 0.575, 0.60, 0.625, 0.65, 0.675, 0.70, 0.75, 0.80],
    "lr" : [3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3, 3e-3], 
    "number_runs": 10,
    "use_jit": true,
    "sampling" : "uniform",
    "gpu" : false,
    "train_fractions" : [0.01],
    "training": {
        "type": "amplitude",
        "test_fraction": 0.02,
        "epochs": 40,
        "batch_size": 128,
        "frequency": 10,
        "patience": 200,
        "optimiser": "lambda m: torch.optim.Adam(m.parameters())",
        "load_best": true,
        "verbose": true
    }
}