[688072]: / examples / classification / binary_classification_reduced_ef.yaml

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paths:
raw_data: "/raw_data/umcu_median"
checkpoints: "/training/factorecg/ef"
training_labels: "/training/secondary_task/train_ef_40.csv"
validation_labels: "/training/secondary_task/test_ef_40.csv"
pretrain_checkpoint: ~
training:
label_names: Label
learning_rate: 0.0005
batch_size: 128
epochs: 15
loss_weights: 1
pretrain: false
tags:
- EF < 40
project_name: UMCUtrecht/FactorECG-supervised
network:
in_channels: 12
channels: 128
depth: 7
reduced_size: 64
out_channels: 1
kernel_size: 5
dropout: 0.3
softplus_eps: 1.0e-4
sd_output: false