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experiment_group: Sample Experiments
experiments:
- dataloader: EmnistDataLoader
model: CharacterModel
metrics: [accuracy]
network: MLP
network_args:
input_shape: 784
num_layers: 2
train_args:
batch_size: 256
epochs: 16
criterion: CrossEntropyLoss
criterion_args:
weight: null
ignore_index: -100
reduction: mean
optimizer: AdamW
optimizer_args:
lr: 3.e-4
betas: [0.9, 0.999]
eps: 1.e-08
weight_decay: 0
amsgrad: false
lr_scheduler: OneCycleLR
lr_scheduler_args:
max_lr: 3.e-5
epochs: 16
# - dataloader: EmnistDataLoader
# model: CharacterModel
# network: MLP
# network_args:
# input_shape: 784
# num_layers: 4
# train_args:
# batch_size: 256
# - dataloader: EmnistDataLoader
# model: CharacterModel
# network: LeNet
# network_args:
# input_shape: [28, 28]
# train_args:
# batch_size: 256
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