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FaceViT_tiny_patch9_112_WebFace42M_CosFace_pfc10_droppath005_mask0_1n8c_dp_mp_fp16o1.yaml
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FaceViT_tiny_patch9_112_WebFace42M_CosFace_pfc10_droppath005_mask0_1n8c_dp_mp_fp16o1.yaml
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# global configs
Global:
task_type: recognition
train_epoch_func: default_train_one_epoch
eval_func: face_verification_eval
checkpoint: null
pretrained_model: null
output_dir: ./output/
device: gpu
save_interval: 1
max_num_latest_checkpoint: 5
eval_during_train: True
eval_interval: 4000
eval_unit: "step"
accum_steps: 1
epochs: 40
print_batch_step: 200
use_visualdl: True
seed: 2022
# FP16 setting
FP16:
level: O1
GradScaler:
init_loss_scaling: 27648.0
DistributedStrategy:
data_parallel: True
# model architecture
Model:
name: FaceViT_tiny_patch9_112
mask_ratio: 0.0
drop_path_rate: 0.05
num_features : 512
class_num: 2059906
pfc_config:
sample_ratio: 1.0
model_parallel: True
sparse_update: False
# loss function config for traing/eval process
Loss:
Train:
- MarginLoss:
m1: 1.0
m2: 0.0
m3: 0.4
s: 64.0
model_parallel: True
weight: 1.0
LRScheduler:
name: Poly
learning_rate: 0.001
decay_unit: step
warmup_epochs: 4
warmup_end_lr: 0.001
Optimizer:
name: AdamW
betas: (0.9, 0.999)
epsilon: 1e-8
weight_decay: 0.1
grad_clip:
name: ClipGradByGlobalNorm
clip_norm: 5.0
no_clip_list: ['dist']
# data loader for train and eval
DataLoader:
Train:
dataset:
name: FaceIdentificationDataset
image_root: ./dataset/WebFace42M
cls_label_path: ./dataset/WebFace42M/label.txt
transform_ops:
- DecodeImage:
to_rgb: True
channel_first: False
- RandFlipImage:
flip_code: 1
- NormalizeImage:
scale: 1.0/255.0
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
order: ''
- ToCHWImage:
sampler:
name: DistributedBatchSampler
batch_size: 256
drop_last: False
shuffle: True
loader:
num_workers: 8
use_shared_memory: True
Eval:
dataset:
name: FaceVerificationDataset
image_root: ./dataset/WebFace42M/agedb_30
cls_label_path: ./dataset/WebFace42M/agedb_30/label.txt
transform_ops:
- DecodeImage:
to_rgb: True
channel_first: False
- NormalizeImage:
scale: 1.0/255.0
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
order: ''
- ToCHWImage:
sampler:
name: BatchSampler
batch_size: 128
drop_last: False
shuffle: False
loader:
num_workers: 0
use_shared_memory: True
Metric:
Eval:
- LFWAcc:
flip_test: True
Export:
export_type: onnx
input_shape: [None, 3, 112, 112]