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path: root/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/config.yml
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criterion: CrossEntropyLoss
criterion_args:
  ignore_index: -100
  reduction: mean
  weight: null
data_loader_args:
  batch_size: 256
  cuda: true
  num_workers: 0
  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: OneCycleLR
lr_scheduler_args:
  epochs: 16
  max_lr: 0.001
  steps_per_epoch: 1314
metrics:
- accuracy
model: CharacterModel
network: MLP
network_args:
  input_size: 784
  num_layers: 3
  output_size: 62
optimizer: AdamW
optimizer_args:
  amsgrad: false
  betas:
  - 0.9
  - 0.999
  eps: 1.0e-08
  lr: 0.01
  weight_decay: 5.0e-05
train_args:
  batch_size: 256
  epochs: 16
  val_metric: accuracy