net: "train_segnet.prototxt"
solver_mode: GPU
max_iter: 200000
snapshot: 2000
snapshot_prefix: "snapshots/AfterHardLow2" # EDIT ME : where to save the snapshots
display: 100
average_loss: 100


# Simple SGD with lr = 0.01 and momentum
solver_type: SGD base_lr: 1e-7
momentum: 0.9

# Adapt according to the dataset sizes (one step ~= 10 epochs)
lr_policy: "step"
stepsize: 8000 
gamma: 0.1

weight_decay: 0.00005

test_initialization: false
