criterion: CrossEntropyLoss
criterion_args:
  ignore_index: -100
  reduction: mean
  weight: null
data_loader_args:
  batch_size: 256
  cuda: true
  num_workers: 1
  sample_to_balance: true
  seed: 4711
  shuffle: true
  splits:
  - train
  - val
  subsample_fraction: null
  target_transform: null
  transform: null
dataloader: EmnistDataLoader
device: cuda:0
experiment_group: Sample Experiments
lr_scheduler: null
metrics:
- accuracy
model: CharacterModel
network: MLP
network_args:
  input_size: 784
  num_layers: 3
  output_size: 62
optimizer: RMSprop
optimizer_args:
  alpha: 0.9
  centered: false
  eps: 1.0e-07
  lr: 0.001
  momentum: 0
  weight_decay: 0
train_args:
  batch_size: 256
  epochs: 16
  val_metric: accuracy