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