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|
wandb_version: 1
_wandb:
desc: null
value:
cli_version: 0.8.36
framework: torch
is_jupyter_run: false
is_kaggle_kernel: false
python_version: 3.8.2
callback_args:
desc: null
value:
Checkpoint:
monitor: accuracy
EarlyStopping:
min_delta: 0.0
mode: min
monitor: val_loss
patience: 3
WandbCallback:
log_batch_frequency: 1
callbacks:
desc: null
value:
- Checkpoint
- EarlyStopping
- WandbCallback
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: 4
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: 4
verbosity:
desc: null
value: 2
|
