# reduce learning rate after 120 epochs (60000 iters) by factor 0f 10

# then another factor of 10 after 10 more epochs (5000 iters)

# The train/test net protocol buffer definition

net: "examples/cifar10/cifar10_full_sigmoid_train_test.prototxt"

# test_iter specifies how many forward passes the test should carry out.

# In the case of CIFAR10, we have test batch size 100 and 100 test iterations,

# covering the full 10,000 testing images.

test_iter: 10

# Carry out testing every 1000 training iterations.

test_interval: 1000

# The base learning rate, momentum and the weight decay of the network.

base_lr: 0.001

momentum: 0.9

#weight_decay: 0.004

# The learning rate policy

lr_policy: "step"

gamma: 1

stepsize: 5000

# Display every 100 iterations

display: 100

# The maximum number of iterations

max_iter: 60000

# snapshot intermediate results

snapshot: 10000

snapshot_prefix: "examples/cifar10_full_sigmoid"

# solver mode: CPU or GPU

solver_mode: GPU