{
  "model_class": "physioex.models.lseqsleepnet:LSeqSleepNet",
  "model_kwargs": {
    "n_classes": 5,
    "in_chan": 1,
    "F": 129,
    "D": 32,
    "nfft": 256,
    "sf": 100,
    "lowfreq": 0,
    "highfreq": 50,
    "epoch_hidden": 64,
    "epoch_attention": 64,
    "B": 10,
    "K": 20,
    "seq_hidden_ss": 64,
    "seq_hidden_ms": 64,
    "d_clf": 512,
    "dropout": 0.1
  },
  "training": {
    "dataset": "shhs",
    "dataset_kwargs": {
      "visit": 1
    },
    "channels": [
      "EEG"
    ],
    "pipeline_preset": "seqsleepnet",
    "sequence_length": 200,
    "max_epochs": 50,
    "lr": 0.0001,
    "weight_decay": 0.0001,
    "batch_size": 8,
    "fold": 0
  },
  "reference": "Phan et al. 2023 - L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging"
}