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* Update cifar10_fast network (retrained for better accuracy). * Fix and update smile network (use hdf5 for consistency with other models and update hyper-parameters).
31 lines
964 B
Plaintext
31 lines
964 B
Plaintext
# The train/test net protocol buffer definition
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net: "models/smile/smile_train_test.prototxt"
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# Specifies how many forward passes the test should carry out.
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# Test batch size 48*30 iterations = 1440 testing images.
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test_iter: 30
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# Carry out testing every 1000 training iterations.
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test_interval: 1000
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# The learning rate policy
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# begin training at a learning rate of 0.01 = 1e-2
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base_lr: 0.01
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momentum: 0.9
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weight_decay: 0.00001
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# learning rate policy: drop the learning rate in
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# "steps" by a factor of gamma every stepsize iterations
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lr_policy: "step"
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# drop the learning rate by a factor of 10
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# (i.e., multiply it by a factor of gamma = 0.1)
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gamma: 0.1
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# Drop the learning rate every 10K iterations
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stepsize: 10000
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# train for 100K iterations total
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max_iter: 60000
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# Display every 100 iterations
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display: 100
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# snapshot intermediate results
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snapshot: 20000
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snapshot_format: HDF5
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snapshot_prefix: "models/smile/smile"
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# solver mode: CPU or GPU
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solver_mode: GPU
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