coat_lite_tiny_ascend.yaml

# system
mode: 0
distribute: True
num_parallel_workers: 8
val_while_train: True

# dataset
dataset: 'imagenet'
data_dir: '/path/to/imagenet/'
shuffle: True
dataset_download: False
batch_size: 64
drop_remainder: True

# augmentation
image_resize: 224
scale: [0.08, 1.0]
ratio: [0.75, 1.333]
hflip: 0.5
interpolation: 'bicubic'
auto_augment: 'randaug-m7-mstd0.5-inc1'
re_prob: 0.1
mixup: 0.2
cutmix: 1.0
cutmix_prob: 1.0
crop_pct: 0.9
color_jitter: 0.4

# model
model: 'coat_lite_tiny'
num_classes: 1000
pretrained: False
ckpt_path: ''
ckpt_save_policy: 'top_k'
keep_checkpoint_max: 10
ckpt_save_dir: './ckpt/'
dataset_sink_mode: True
amp_level: 'O2'

# loss
loss: 'CE'
label_smoothing: 0.1

# lr scheduler
scheduler: 'cosine_decay'
lr: 0.0008
min_lr: 0.000005
warmup_epochs: 20
decay_epochs: 280
epoch_size: 900
num_cycles: 3
cycle_decay: 1.0

# optimizer
opt: 'adamw'
weight_decay: 0.025
filter_bias_and_bn: True
loss_scale: 1024
use_nesterov: False