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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: 8
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: LeNet
network_args:
input_size:
- 28
- 28
output_size: 62
optimizer: AdamW
optimizer_args:
amsgrad: false
betas:
- 0.9
- 0.999
eps: 1.0e-08
lr: 0.01
weight_decay: 0
train_args:
batch_size: 256
epochs: 16
val_metric: accuracy
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