regnet_y_16gf_ascend.yaml

# system
mode: 0
distribute: True
val_while_train: True
val_interval: 1
log_interval: 100

# dataset
dataset: 'imagenet'
data_dir: '/path/to/imagenet'
shuffle: True
num_parallel_workers: 8
batch_size: 64

# augmentation
image_resize: 224
scale: [0.08, 1.0]
ratio: [0.75, 1.333]
hflip: 0.5
vflip: 0.0
interpolation: 'bicubic'
color_jitter: 0.4
auto_augment: 'randaug-m9-mstd0.5-inc1'
re_prob: 0.25
re_value: 'random'
crop_pct: 0.9
mixup: 0.8
cutmix: 1.0
aug_repeats: 3

# model
model: 'regnet_y_16gf'
num_classes: 1000
keep_checkpoint_max: 10
ckpt_save_dir: './ckpt'
ckpt_save_interval: 1
ckpt_save_policy: 'latest_k'
epoch_size: 350
dataset_sink_mode: True

# loss
loss: 'CE'
label_smoothing: 0.1

# lr scheduler
scheduler: 'cosine_decay'
min_lr: 0.0
lr: 0.2
warmup_epochs: 5
warmup_factor: 0.01
decay_epochs: 345

# optimizer
opt: 'momentum'
momentum: 0.9
weight_decay: 4e-5
use_nesterov: False

# amp
amp_level: 'O2'
loss_scale_type: 'auto'