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How long could it take to complete one epoch? I used 1xA100 with the following parameters and took about 8 mins. Is it right or could be better?
data:
gpu: 0
in_memory: 1
num_workers: 48
train_dataset: ./train_400_0.10_90.ffcv
val_dataset: ./val_400_0.10_90.ffcv
dist:
world_size: 1
logging:
folder: ./logs/
log_level: 0
lr:
lr: 0.1
lr_peak_epoch: 2
lr_schedule_type: cyclic
model:
arch: alexnet
resolution:
end_ramp: 13
max_res: 192
min_res: 160
start_ramp: 11
training:
batch_size: 1024
bn_wd: 0
distributed: 0
epochs: 16
label_smoothing: 0.1
momentum: 0.9
optimizer: sgd
weight_decay: 5e-5
use_blurpool: 1
validation:
lr_tta: true
resolution: 224
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