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increase bs, num_workers to speed up

pull/2815/head
gaotingquan 2023-05-06 07:23:40 +00:00 committed by cuicheng01
parent b2ba6994a0
commit c2802b90aa
3 changed files with 12 additions and 12 deletions
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8
ppcls/configs/ImageNet/MobileNetV3/MobileNetV3_small_x1_0_ultra.yaml
View File

@ -43,7 +43,7 @@ Optimizer:
momentum: 0.9
lr:
name: Cosine
learning_rate: 1.3
learning_rate: 7.8
warmup_epoch: 5
regularizer:
name: 'L2'
@ -73,11 +73,11 @@ DataLoader:
sampler:
name: DistributedBatchSampler
batch_size: 512
batch_size: 1536
drop_last: False
shuffle: True
loader:
num_workers: 4
num_workers: 20
use_shared_memory: True
Eval:
@ -100,7 +100,7 @@ DataLoader:
order: ''
sampler:
name: DistributedBatchSampler
batch_size: 64
batch_size: 256
drop_last: False
shuffle: False
loader:

8
ppcls/configs/ImageNet/PPLCNet/PPLCNet_x1_0_ultra.yaml
View File

@ -43,7 +43,7 @@ Optimizer:
momentum: 0.9
lr:
name: Cosine
learning_rate: 0.8
learning_rate: 3.2
warmup_epoch: 5
regularizer:
name: 'L2'
@ -73,11 +73,11 @@ DataLoader:
sampler:
name: DistributedBatchSampler
batch_size: 512
batch_size: 1024
drop_last: False
shuffle: True
loader:
num_workers: 4
num_workers: 16
use_shared_memory: True
Eval:
@ -100,7 +100,7 @@ DataLoader:
order: ''
sampler:
name: DistributedBatchSampler
batch_size: 64
batch_size: 256
drop_last: False
shuffle: False
loader:

8
ppcls/configs/ImageNet/ResNet/ResNet50_ultra.yaml
View File

@ -44,9 +44,9 @@ Optimizer:
momentum: 0.9
lr:
name: Piecewise
learning_rate: 0.1
learning_rate: 0.8
decay_epochs: [30, 60, 90]
values: [0.1, 0.01, 0.001, 0.0001]
values: [0.8, 0.08, 0.008, 0.0008]
regularizer:
name: 'L2'
coeff: 0.0001
@ -75,11 +75,11 @@ DataLoader:
sampler:
name: DistributedBatchSampler
batch_size: 64
batch_size: 256
drop_last: False
shuffle: True
loader:
num_workers: 4
num_workers: 16
use_shared_memory: True
Eval: