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Added seed to config
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Spijkervet committed Mar 12, 2020
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4 changes: 3 additions & 1 deletion config/config.yaml
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# train options
seed: 42 # sacred handles automatic seeding when passed in the config
batch_size: 256
workers: 16
start_epoch: 0
epochs: 100
dataset: "STL10" # STL10

# model options
resnet: "resnet18"
resnet: "resnet50"
normalize: True
projection_dim: 64 # "[...] to project the representation to a 128-dimensional latent space"

# loss options
optimizer: "Adam" # or LARS (experimental)
temperature: 0.5 # see appendix B.7.: Optimal temperature under different batch sizes

# reload options
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