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