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training:
num_epochs: 1000
batch_size: 32
adaptive_dataloader: false
n_workers: 16
optimizer:
name: adamw
lr: 0.0001
weight_decay: 0
encoder:
weight_decay: 1.0e-06
log:
milestone: 1
save:
every: 1
best: true
train:
reconstruction:
every: 1
images:
every: 1
how_many: 20
val:
reconstruction:
every: 1
error_rate:
every: 0
last: true
kargs:
dataloader_batch_size: 4
eval_best: false
device: 0
seed: 97312
flush_mem: true
flush_per: 1
model:
encoder:
H: 64
C: 3
name: resnet32
pooling_on_width: 4
background:
size:
- ${eval:${model.encoder.H}//2}
- ${model.encoder.H}
use_clamp: soft
init:
freeze: true
constant:
- 0.7411764705882353
- 0.5568627450980392
- 0.3764705882352941
sprites:
'n': 60
color_channels: ${model.encoder.C}
size:
- ${eval:${model.encoder.H}//2}
- ${eval:${model.encoder.H}//2}
use_clamp: soft
gen_type: unet
init:
color:
freeze: true
constant: 0.5
transformation:
canvas_size:
- ${model.encoder.H}
- ${eval:${model.encoder.H}*2}
layer:
ops:
- color
- position
color:
color_channels: ${model.encoder.C}
n_hidden_layers: 2
n_hidden_units: 128
position:
n_hidden_layers: 2
n_hidden_units: 128
max_x: 1.0
max_y: 1.0
parametrization: exp
padding_mode: zeros
background:
ops:
- color
color:
color_channels: ${model.encoder.C}
n_hidden_layers: 2
n_hidden_units: 128
window:
size: ${model.encoder.H}
loss:
sigma_gaussian: 7
ctc_factor: 0.01
dataset:
google:
path: google
supervised: false
crop_width: 128
tag: unsupervised
timestamp: 2023-01-12_02-53-55
run_dir: /home/ysig/learnable-typewriter-supervised/runs/google/unsupervised/2023-01-12_02-53-55
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