words_solver.prototxt

# The train/test net protocol buffer definition
net: "words_net.prototxt"

#solver_type: ADAGRAD

# test_iter specifies how many forward passes the test should carry out.
test_iter: 25

# Carry out testing every n training iterations.
test_interval: 100

# The base learning rate, momentum and the weight decay of the network.
base_lr: 0.0001
#base_lr: 0.0005
#base_lr: 0.001
#base_lr: 0.01
#momentum: 0.95
momentum: 0.9
#momentum: 0.75
weight_decay: 0.0005
# The learning rate policy
#lr_policy: "step"
lr_policy: "inv"
#inv"
gamma: 0.001
power: 0.75
# Display every n iterations
display: 10
# The maximum number of iterations
max_iter: 20000
# snapshot intermediate results
snapshot: 100
#snapshot: 1000
snapshot_prefix: "words"
# solver mode: CPU or GPU
solver_mode: GPU