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upload LiSenNet conv_hardened_deep variant -> conv-hardened-deep/
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{
"_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
}
}