Binet_norm/settings.json

{
    "training_purpose": "train binet with NOOO aug and new normalization",
    "max_num_epochs": 400,
    "patience": 50,
    "model_name": "autoencoder",
    "img_input_size": 256,
    "learning_rate": 0.0002,
    "batch_size": 32,
    "transform": "Compose(\n    ToTensor()\n    Normalize(mean=[0.6144142615182454], std=[0.2606306621135704])\n)",
    "dataset": "dibco",
    "seed": 43
}