38 lines
801 B
YAML
38 lines
801 B
YAML
use_gpu: True
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device: 0
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early_stop:
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patience: 20
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improve_indicator_mode: mean
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federate:
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mode: 'standalone'
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make_global_eval: False
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total_round_num: 400
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share_local_model: False
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data:
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root: data/
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type: graph_multi_domain_mol
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pre_transform: ['Constant', {'value':1.0, 'cat':False}]
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dataloader:
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type: pyg
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model:
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type: gin
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hidden: 64
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out_channels: 0
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task: graph
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personalization:
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local_param: ['encoder_atom', 'encoder', 'clf'] # to handle size-different pre & post layers
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# local_param: [ 'encoder_atom', 'encoder', 'clf', 'norms' ] # pre, post + FedBN
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train:
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local_update_steps: 1
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optimizer:
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lr: 0.5
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weight_decay: 0.0005
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type: SGD
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criterion:
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type: CrossEntropyLoss
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trainer:
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type: graphminibatch_trainer
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eval:
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freq: 5
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metrics: ['acc', 'correct']
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