|
training: |
|
num_epochs: 5000 |
|
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: 20 |
|
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: 96 |
|
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: |
|
- 0.9529411764705882 |
|
- 0.9019607843137255 |
|
- 0.7529411764705882 |
|
sprites: |
|
'n': 120 |
|
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: |
|
copiale: |
|
path: copiale/ |
|
sep: ' ' |
|
space: _ |
|
supervised: false |
|
crop_width: ${eval:${model.encoder.H}*2} |
|
tag: a |
|
timestamp: 2023-01-10_06-29-19 |
|
run_dir: /home/ysig/learnable-typewriter-supervised/runs/copiale/a/2023-01-10_06-29-19 |
|
|