39 lines
665 B
YAML
39 lines
665 B
YAML
use_gpu: True
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device: 0
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early_stop:
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patience: 5
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seed: 2
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federate:
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mode: standalone
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total_round_num: 300
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sample_client_rate: 0.2
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data:
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root: data/
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type: femnist
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splits: [0.6,0.2,0.2]
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subsample: 0.05
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transform: [['ToTensor'], ['Normalize', {'mean': [0.9637], 'std': [0.1592]}]]
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model:
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model_num_per_trainer: 3
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type: convnet2
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hidden: 2048
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out_channels: 62
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personalization:
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local_update_steps: 1
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lr: 0.5
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train:
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batch_or_epoch: epoch
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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: 0.0
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grad:
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grad_clip: 5.0
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criterion:
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type: CrossEntropyLoss
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trainer:
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type: cvtrainer
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eval:
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freq: 10
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metrics: ['acc', 'correct']
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