{
    "_comment": "ReLU6 variant of lisennet_conv_hardened_nc24_deep (FP32 3.069 but int8 rt 2.985 \u2014 long-RF activations lose ~0.08 to per-tensor PTQ; see RESULTS_LISENNET.md round 2). act='relu6' bounds the activation dynamic range by construction (NPU-native Clip) to let per-tensor int8 resolve the long-RF features. Same arch otherwise. Retrain into cp_lisennet_conv_hardened_nc24_deep_relu6; ship gate = int8 real-time > 2.998 (nc24 b2).",
    "num_gpus": 0,
    "batch_size": 16,
    "learning_rate": 0.0005,
    "adam_b1": 0.8,
    "adam_b2": 0.99,
    "lr_decay": 0.98,
    "seed": 1234,
    "sampling_rate": 16000,
    "segment_size": 32000,
    "n_fft": 512,
    "hop_size": 256,
    "win_size": 512,
    "num_channels": 24,
    "n_blocks": 3,
    "compress_factor": 0.3,
    "gradient_clip": 5.0,
    "bottleneck": "conv",
    "norm": "batchnorm",
    "act": "relu6",
    "upsample": "convtranspose",
    "intra_kernel": 11,
    "inter_kernel": 3,
    "inter_dilations": [
        1,
        2,
        4,
        8,
        16
    ],
    "loss": {
        "complex": 0.1,
        "mag": 0.9,
        "adv": 0.05
    },
    "num_workers": 4,
    "dist_config": {
        "dist_backend": "nccl",
        "dist_url": "tcp://localhost:54321",
        "world_size": 1
    }
}