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_target_: src.data.PPGFieldStudyMvCFTDatamodule.PPGDataModule | ||
data_dir: "./data/PPG_FieldStudy/PPG_FieldStudy" | ||
window_size: 256 | ||
stride: 128 | ||
batch_size: 64 | ||
num_workers: 4 # Set to 0 for debugging | ||
train_split: 0.7 | ||
val_split: 0.15 | ||
test_split: 0.15 |
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# @package _global_ | ||
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# to execute this experiment run: | ||
# python train.py experiment=example | ||
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defaults: | ||
- override /data: PPG_FieldStudy_MvCFT | ||
- override /model: PPGMvCFT | ||
- override /callbacks: default | ||
- override /trainer: default | ||
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# all parameters below will be merged with parameters from default configurations set above | ||
# this allows you to overwrite only specified parameters | ||
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tags: ["PPG_FieldStudy", "PPGMvCFT"] | ||
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seed: 12345 | ||
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trainer: | ||
min_epochs: 10 | ||
max_epochs: 50 | ||
gradient_clip_val: 0.5 | ||
accelerator: "gpu" | ||
devices: 1 | ||
callbacks: [progress_bar] | ||
enable_checkpointing: True | ||
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model: | ||
input_dim: 14 | ||
d_model: 128 | ||
lr: 1e-3 | ||
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data: | ||
batch_size: 64 | ||
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logger: | ||
wandb: | ||
tags: ${tags} | ||
group: "PPG_FieldStudy" | ||
aim: | ||
experiment: "PPG_FieldStudy" |
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_target_: src.models.PPGMvCFTModule.PPGMvCFTModule | ||
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input_dim: 14 | ||
d_model: 128 | ||
lr: 1e-3 |
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