{
  "model_class": "physioex.models.tinysleepnet:TinySleepNet",
  "model_kwargs": {
    "n_classes": 5,
    "in_chan": 1,
    "sf": 100,
    "n_rnn_units": 128,
    "n_rnn_layers": 1
  },
  "training": {
    "dataset": "sleepedf",
    "channels": [
      "EEG"
    ],
    "pipeline_preset": "raw",
    "sequence_length": 20,
    "max_epochs": 200,
    "lr": 0.0001,
    "weight_decay": 0.001,
    "batch_size": 15,
    "loss": "CrossEntropyLoss",
    "fold": 0,
    "early_stopping_patience": 50
  },
  "reference": "Supratak & Guo 2020 - TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG"
}