sleepless.configs.models_and_models_parameters.blanco_baseline.blanco#
Chambon2018.
Reference: [Chambon-2018]
from torch.nn import CrossEntropyLoss
from torch.optim import Adam
from torch.optim.lr_scheduler import MultiStepLR
from sleepless.data.transforms import ToTorchDataset
from sleepless.models.blanco import SleepStagerBlanco2020
# config
lr = 1e-4
weight_decay = 0
betas = (0.9, 0.999)
eps = 1e-08
weight_decay = 0
final_lr = 0.1
gamma = 1e-3
eps = 1e-8
scheduler_milestones = [30, 80]
scheduler_gamma = 0.1
sfreq = 100
n_channels = 2
model = SleepStagerBlanco2020(n_channels=n_channels, sfreq=sfreq, n_classes=5)
optimizer = Adam(model.parameters(), lr=lr, weight_decay=weight_decay)
criterion = CrossEntropyLoss()
scheduler = MultiStepLR(
optimizer, milestones=scheduler_milestones, gamma=scheduler_gamma
)
model_parameters = {
"transform": [
ToTorchDataset(normalize=True, pick_chan=["Fpz-Cz", "Pz-Oz"])
],
"optimizer": optimizer,
"epochs": 100,
"patience": 10,
"batch_size": 128,
"valid_batch_size": 128,
"batch_chunk_count": 1,
"drop_incomplete_batch": True,
"criterion": criterion,
"scheduler": scheduler,
"checkpoint_period": 5,
"device": "cuda:0",
"seed": 42,
"parallel": -1,
"monitoring_interval": 10,
"patience": 10,
}