41 lines
1.0 KiB
YAML
41 lines
1.0 KiB
YAML
use_gpu: True
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device: 0
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early_stop:
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patience: 0
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federate:
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mode: standalone
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total_round_num: 10000
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client_num: 100
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sample_client_num: 5
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make_global_eval: True
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merge_test_data: True
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data:
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root: data/
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type: 'CIFAR10@torchvision'
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splits: [1.0,0.0,0.0]
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num_workers: 0
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transform: [['RandomCrop', {'size': 32, 'padding': 4}], ['RandomHorizontalFlip'], ['ToTensor'], ['Normalize', {'mean': [0.4914, 0.4822, 0.4465], 'std': [0.2023, 0.1994, 0.2010]}]]
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test_transform: [['ToTensor'], ['Normalize', {'mean': [0.4914, 0.4822, 0.4465], 'std': [0.2023, 0.1994, 0.2010]}]]
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args: [{'download': True}]
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splitter: 'fedsam_cifar10_splitter'
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splitter_args: [{'alpha': 0.05}]
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dataloader:
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batch_size: 64
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model:
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type: fedsam_conv2
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out_channels: 10
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dropout: 0.0
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criterion:
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type: CrossEntropyLoss
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train:
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batch_or_epoch: 'epoch'
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optimizer:
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lr: 0.01
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weight_decay: 0.0004
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momentum: 0.0
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eval:
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freq: 100
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metrics: ['acc', 'correct']
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best_res_update_round_wise_key: test_acc
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count_flops: False
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