wandb_version: 1

_wandb:
  desc: null
  value:
    cli_version: 0.9.4
    framework: torch
    is_jupyter_run: false
    is_kaggle_kernel: false
    python_version: 3.8.2
callback_args:
  desc: null
  value:
    Checkpoint:
      monitor: val_accuracy
    EarlyStopping:
      min_delta: 0.0
      mode: min
      monitor: val_loss
      patience: 3
    WandbCallback:
      log_batch_frequency: 10
    WandbImageLogger:
      num_examples: 4
callbacks:
  desc: null
  value:
  - Checkpoint
  - EarlyStopping
  - WandbCallback
  - WandbImageLogger
criterion:
  desc: null
  value: CrossEntropyLoss
criterion_args:
  desc: null
  value:
    ignore_index: -100
    reduction: mean
    weight: null
data_loader_args:
  desc: null
  value:
    batch_size: 256
    cuda: true
    num_workers: 8
    sample_to_balance: true
    seed: 4711
    shuffle: true
    splits:
    - train
    - val
    subsample_fraction: null
    target_transform: null
    transform: null
dataloader:
  desc: null
  value: EmnistDataLoader
experiment_group:
  desc: null
  value: Sample Experiments
lr_scheduler:
  desc: null
  value: OneCycleLR
lr_scheduler_args:
  desc: null
  value:
    epochs: 16
    max_lr: 0.001
    steps_per_epoch: 1314
metrics:
  desc: null
  value:
  - accuracy
model:
  desc: null
  value: CharacterModel
network:
  desc: null
  value: LeNet
network_args:
  desc: null
  value:
    input_size:
    - 28
    - 28
    output_size: 62
optimizer:
  desc: null
  value: AdamW
optimizer_args:
  desc: null
  value:
    amsgrad: false
    betas:
    - 0.9
    - 0.999
    eps: 1.0e-08
    lr: 0.01
    weight_decay: 0
resume_experiment:
  desc: null
  value: null
train_args:
  desc: null
  value:
    batch_size: 256
    epochs: 16
verbosity:
  desc: null
  value: 1