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{
"type": "submodel",
"name": "gradfield-cnn-final",
"version": "3.0.0-finetuned",
"framework": "pytorch",
"arch": "CompactGradientNet",
"model_parameters": {
"depth": 4,
"base_filters": 32,
"dropout": 0.15,
"embedding_dim": 128
},
"input": {
"type": "luminance",
"channels": 1,
"size": 224,
"preprocessing": "BT.709 luminance conversion"
},
"output": {
"type": "binary_logit",
"labels": {
"0": "real",
"1": "fake"
}
},
"best_auroc": 0.8453642337807606,
"finetune_config": {
"depth": 4,
"base_filters": 32,
"embedding_dim": 128,
"head_lr": 0.0001,
"head_epochs": 5,
"full_lr": 3e-05,
"full_epochs": 20,
"warmup_epochs": 2,
"min_lr": 1e-07,
"weight_decay": 0.001,
"dropout": 0.15,
"batch_size": 64,
"patience": 5,
"mixup_alpha": 0.2,
"grad_clip": 1.0,
"checkpoint_name": "gradient_field_cnn_v3_finetuned.pth"
}
}

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