{
    "name": "sd-2-tcn-sm",
    "job_dir": "./results/sd-2-tcn-sm",
    "verbose": 2,

    "datasets": [{
        "name": "cmidss",
        "params": {
            "path": "./datasets/cmidss"
        }
    }],

    "feature": {
        "name": "FS-W-A-5",
        "sampling_rate": 0.2,
        "frame_size": 12,
        "loader": "hdf5",
        "feat_key": "features",
        "label_key": "detect_labels",
        "mask_key": "mask",
        "feat_cols": null,
        "save_path": "./datasets/store/fs-w-a-5-60",
        "params": {}
    },

    "sampling_rate": 0.0083333,
    "frame_size": 240,

    "num_classes": 2,
    "class_map": {
        "0": 0,
        "1": 1,
        "2": 1,
        "3": 1,
        "4": 1,
        "5": 1
    },
    "class_names": ["WAKE", "SLEEP"],

    "samples_per_subject": 100,
    "val_samples_per_subject": 100,
    "test_samples_per_subject": 50,

    "val_size": 4000,
    "test_size": 2500,

    "val_subjects": 0.20,
    "batch_size": 128,
    "buffer_size": 10000,
    "epochs": 200,
    "steps_per_epoch": 25,
    "val_steps_per_epoch": 25,
    "val_metric": "loss",
    "lr_rate": 1e-3,
    "lr_cycles": 1,
    "label_smoothing": 0,

    "test_metric": "f1",
    "test_metric_threshold": 0.02,
    "tflm_var_name": "sk_detect_flatbuffer",
    "tflm_file": "sk_detect_flatbuffer.h",

    "backend": "pc",
    "display_report": true,

    "quantization": {
        "qat": false,
        "mode": "INT8",
        "io_type": "int8",
        "concrete": true,
        "debug": false
    },

    "model_file": "model.keras",
    "use_logits": false,
    "architecture": {
        "name": "tcn",
        "params": {
            "input_kernel": [1, 5],
            "input_norm": "batch",
            "blocks": [
                {"depth": 1, "branch": 1, "filters": 16, "kernel": [1, 5], "dilation": [1, 1], "dropout": 0.10, "ex_ratio": 1, "se_ratio": 4, "norm": "batch"},
                {"depth": 1, "branch": 1, "filters": 32, "kernel": [1, 5], "dilation": [1, 2], "dropout": 0.10, "ex_ratio": 1, "se_ratio": 4, "norm": "batch"},
                {"depth": 1, "branch": 1, "filters": 48, "kernel": [1, 5], "dilation": [1, 4], "dropout": 0.10, "ex_ratio": 1, "se_ratio": 4, "norm": "batch"},
                {"depth": 1, "branch": 1, "filters": 64, "kernel": [1, 5], "dilation": [1, 8], "dropout": 0.10, "ex_ratio": 1, "se_ratio": 4, "norm": "batch"}
            ],
            "output_kernel": [1, 5],
            "include_top": true,
            "use_logits": true,
            "model_name": "tcn"
        }
    }
}