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experiment_group: Sample Experiments
experiments:
- dataloader: EmnistDataLoader
data_loader_args:
splits: [train, val]
sample_to_balance: true
subsample_fraction: null
transform: null
target_transform: null
batch_size: 256
shuffle: true
num_workers: 8
cuda: true
seed: 4711
model: CharacterModel
metrics: [accuracy]
network: MLP
network_args:
input_size: 784
output_size: 62
num_layers: 3
# network: LeNet
# network_args:
# input_size: [28, 28]
# output_size: 62
train_args:
batch_size: 256
epochs: 16
val_metric: accuracy
criterion: CrossEntropyLoss
criterion_args:
weight: null
ignore_index: -100
reduction: mean
# optimizer: RMSprop
# optimizer_args:
# lr: 1.e-3
# alpha: 0.9
# eps: 1.e-7
# momentum: 0
# weight_decay: 0
# centered: false
optimizer: AdamW
optimizer_args:
lr: 1.e-2
betas: [0.9, 0.999]
eps: 1.e-08
weight_decay: 0
amsgrad: false
# lr_scheduler: null
lr_scheduler: OneCycleLR
lr_scheduler_args:
max_lr: 1.e-3
epochs: 16
verbosity: 2 # 0, 1, 2
resume_experiment: null
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