PaddleClas/configs/quick_start/professional/ResNet50_vd_CIFAR100.yaml
2021-04-16 10:55:31 +08:00

77 lines
1.6 KiB
YAML

mode: 'train'
ARCHITECTURE:
name: 'ResNet50_vd'
checkpoints: ""
pretrained_model: ""
model_save_dir: "./output/"
classes_num: 100
total_images: 50000
save_interval: 1
validate: True
valid_interval: 1
epochs: 100
topk: 5
image_shape: [3, 32, 32]
use_mix: False
LEARNING_RATE:
function: 'Cosine'
params:
lr: 0.04
OPTIMIZER:
function: 'Momentum'
params:
momentum: 0.9
regularizer:
function: 'L2'
factor: 0.0001
TRAIN:
batch_size: 1024
num_workers: 4
file_list: "./dataset/CIFAR100/train_list.txt"
data_dir: "./dataset/CIFAR100/"
shuffle_seed: 0
transforms:
- DecodeImage:
to_rgb: True
channel_first: False
- RandCropImage:
size: 32
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1./255.
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
order: ''
- ToCHWImage:
mix:
- MixupOperator:
alpha: 0.2
VALID:
batch_size: 256
num_workers: 0
file_list: "./dataset/CIFAR100/test_list.txt"
data_dir: "./dataset/CIFAR100/"
shuffle_seed: 0
transforms:
- DecodeImage:
to_rgb: True
channel_first: False
- ResizeImage:
resize_short: 36
- CropImage:
size: 32
- NormalizeImage:
scale: 1.0/255.0
mean: [0.485, 0.456, 0.406]
std: [0.229, 0.224, 0.225]
order: ''
- ToCHWImage: