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sleeptransformer-phan/config.json
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{
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"model_class": "physioex.models.sleeptransformer:SleepTransformer",
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"model_kwargs": {
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"n_classes": 5,
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"in_chan": 1,
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"d_model": 128,
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"n_heads": 8,
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"n_epoch_layers": 4,
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"n_seq_layers": 4,
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"d_ff": 1024,
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"d_clf": 1024,
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"dropout": 0.1,
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"attention_size": 128
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},
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"training": {
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"dataset": "shhs",
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"dataset_kwargs": {
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"visit": 1
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},
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"channels": [
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"EEG"
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],
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"pipeline_preset": "seqsleepnet",
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"sequence_length": 21,
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"max_epochs": 50,
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"lr": 0.0001,
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"weight_decay": 0,
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"batch_size": 32,
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"loss": "CrossEntropyLoss",
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"fold": 0,
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"early_stopping_patience": 10
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},
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"reference": "Phan et al. 2022 - SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification (arXiv:2105.11043)"
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}
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