solver_template.prototxt

test_iter: 100
test_interval: 1000
base_lr: 0.04
display: 40
max_iter: 170000

lr_policy: "poly"
power: 1.0 #linearly decrease LR
momentum: 0.9
weight_decay: 0.0002

snapshot: 10000
snapshot_prefix: "../../output/SqueezeNet_v1.1/grayscale_128px/train"
solver_mode: GPU
random_seed: 42
net: "train_val.prototxt" #we typically do `cd SqueezeNet_v1.0; caffe train <args>`
test_initialization: false
average_loss: 40