SupervisedConfig example

examples/supervised/configs/example.yml

# {% set batch_size = batch_size | default(32) %}
type: supervised
project: frogbox-example
tracker: wandb
tracker_kwargs:
  tags:
    - example
batch_size: {{ batch_size }}
loader_workers: 4
max_epochs: 16
log_interval: epoch_completed

checkpoints:
- metric: SSIM
  mode: max
  num_saved: 1

model:
  object: models.upscaler.Upscaler
  kwargs:
    scale_factor: 2
    hidden_channels: 32
    num_layers: 4
  optimizers:
    default:
      object: torch.optim.AdamW
      kwargs: 
        lr: 1.0e-3
      scheduler:
        end_value: 1.0e-7
        type: cosine

datasets:
  train:
    object: datasets.example.ExampleDataset
    kwargs:
      do_augment: true
      split: train
  val:
    object: datasets.example.ExampleDataset
    kwargs:
      do_augment: false
      split: val
  test:
    object: datasets.example.ExampleDataset
    kwargs:
      do_augment: false
      split: test

losses:
  L1:
    object: torch.nn.L1Loss
    weight: 1.0

metrics:
  PSNR:
    object: torchmetrics.image.PeakSignalNoiseRatio
    kwargs: 
      data_range: 1.0
  SSIM:
    object: torchmetrics.image.StructuralSimilarityIndexMeasure
    kwargs:
      data_range: 1.0

callbacks:
- object: frogbox.callbacks.ImageLogger
  interval: epoch_completed