MobileNetV4 hparams

_README.md

MobileNetV4 Hparams

Included yaml files are timm train script configs for training MobileNetV4 models in timm (see on HF Hub: https://huggingface.co/collections/timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637)

Note the # of GPUs, this needs to be taken into consideration for global batch size equivalence, and LR scaling.

Also note, some models have lr set to a non null value, this LR is used directly if set. Otherwise, it falls back to lr_base and the used rate is calculated based on lr_base_sized and a sqrt scaling according to the global batch size.

mnv4_cbm_r224_e500_gpu2.yaml

aa: rand-m9-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 0.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 500
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: null
hflip: 0.5
img_size: 224
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.002
lr_base: 0.1
lr_base_scale: ''
lr_base_size: 256
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 0
mixup: 0.2
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: mobilenetv4_conv_blur_medium
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: nadamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.25
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.1
worker_seeding: all
workers: 8

mnv4_cl_r256_e500_gpu8.yaml

aa: rand-m9-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.35
epoch_repeats: 0.0
epochs: 500
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: 0.0
hflip: 0.5
img_size: null
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.003
lr_base: 0.1
lr_base_scale: ''
lr_base_size: 256
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 0.0
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 0.8
mixup_switch_prob: 0.5
model: mobilenetv4_conv_large
model_ema: true
model_ema_decay: 0.9997
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.3
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.2
worker_seeding: all
workers: 8

mnv4_cl_r384_e600_gpu8.yaml

aa: rand-m8-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 256
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.35
epoch_repeats: 0.0
epochs: 600
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: 0.0
hflip: 0.5
img_size: 384
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: null
lr_base: 0.003
lr_base_scale: ''
lr_base_size: 4096
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 1.0e-06
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 0.8
mixup_switch_prob: 0.5
model: mobilenetv4_conv_large
model_ema: true
model_ema_decay: 0.9999
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.35
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.2
worker_seeding: all
workers: 8

mnv4_cm_r224_e500_gpu2.yaml

aa: rand-m9-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 0.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 500
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: null
hflip: 0.5
img_size: 224
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.002
lr_base: 0.1
lr_base_scale: ''
lr_base_size: 256
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 0
mixup: 0.2
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: mobilenetv4_conv_medium
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: nadamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.25
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.1
worker_seeding: all
workers: 8

mnv4_cm_r256_e500_gpu2.yaml

aa: rand-m8-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 0.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 500
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: null
hflip: 0.5
img_size: 256
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.002
lr_base: 0.1
lr_base_scale: ''
lr_base_size: 256
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 0
mixup: 0.2
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 0.8
mixup_switch_prob: 0.5
model: mobilenetv4_conv_medium
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.25
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.1
worker_seeding: all
workers: 8

mnv4_cs_r224_e2400_gpu4.yaml

aa: rand-m8-inc1-mstd1.0
amp: true
amp_dtype: float16
amp_impl: native
aug_repeats: 3.0
aug_splits: 0
batch_size: 1024
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: true
checkpoint_hist: 10
class_map: ''
clip_grad: null
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 0.0
cutmix_minmax: null
data: /raid/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.25
drop_block: null
drop_connect: null
drop_path: null
epoch_repeats: 0.0
epochs: 2400
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: 0.05
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: 0.1
head_init_bias: null
head_init_scale: null
hflip: 0.5
img_size: null
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: null
lr_base: 0.002
lr_base_scale: ''
lr_base_size: 4096
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 0.0
mixup: 0.0
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: mobilenetv4_conv_small
model_ema: true
model_ema_decay: 0.99995
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas:
- 0.6
- 0.995
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.25
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: null
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 5
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.06
worker_seeding: all
workers: 8

mnv4_hl_r384_e600_gpu8.yaml

aa: rand-m9-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 192
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.35
epoch_repeats: 0.0
epochs: 600
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: 0.0
hflip: 0.5
img_size: 384
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: null
lr_base: 0.003
lr_base_scale: ''
lr_base_size: 4096
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 1.0e-06
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 0.8
mixup_switch_prob: 0.5
model: mobilenetv4_hybrid_large
model_ema: true
model_ema_decay: 0.9999
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas:
- 0.9
- 0.98
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.35
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.2
worker_seeding: all
workers: 8

mnv4_hl_r384_e600_ix_gpu8.yaml

aa: rand-m9-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 192
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.35
epoch_repeats: 0.0
epochs: 600
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: 0.0
hflip: 0.5
img_size: 384
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: null
lr_base: 0.003
lr_base_scale: ''
lr_base_size: 4096
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 1.0e-06
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 0.8
mixup_switch_prob: 0.5
model: mobilenetv4_hybrid_large
model_ema: true
model_ema_decay: 0.9999
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas:
- 0.9
- 0.99
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.35
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.2
worker_seeding: all
workers: 8

mnv4_hm_r224_e500_gpu2.yaml

aa: rand-m9-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 0.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 500
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: null
hflip: 0.5
img_size: null
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.001
lr_base: 0.1
lr_base_scale: ''
lr_base_size: 256
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 0
mixup: 0.2
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: mobilenetv4_hybrid_medium
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: nadamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.25
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.1
worker_seeding: all
workers: 8

mnv4_hm_r256_e550_ix_gpu8.yaml

aa: rand-m8-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 550
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: 0.0
hflip: 0.5
img_size: 256
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: null
lr_base: 0.002
lr_base_scale: ''
lr_base_size: 4096
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 1.0e-06
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 0.5
mixup_switch_prob: 0.5
model: mobilenetv4_hybrid_medium
model_ema: true
model_ema_decay: 0.9999
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas:
- 0.9
- 0.99
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.3
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.141
worker_seeding: all
workers: 8

mnv4_hm_r384_e550_ix_gpu8.yaml

aa: rand-m9-inc1-mstd1.0
amp: true
amp_dtype: bfloat16
amp_impl: native
aug_repeats: 0
aug_splits: 0
batch_size: 384
bce_loss: false
bce_pos_weight: null
bce_sum: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 5.0
clip_mode: norm
color_jitter: 0.4
color_jitter_prob: null
cooldown_epochs: 0
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: null
dataset: ''
dataset_download: false
decay_epochs: 90
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
device: cuda
device_modules: null
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 550
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gaussian_blur_prob: null
gp: null
grad_accum_steps: 1
grad_checkpointing: false
grayscale_prob: null
head_init_bias: null
head_init_scale: 0.0
hflip: 0.5
img_size: 384
in_chans: null
initial_checkpoint: ''
input_img_mode: null
input_key: null
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: null
lr_base: 0.002
lr_base_scale: ''
lr_base_size: 4096
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise: null
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 1.0e-06
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 0.5
mixup_switch_prob: 0.5
model: mobilenetv4_hybrid_medium
model_ema: true
model_ema_decay: 0.9999
model_ema_force_cpu: false
model_ema_warmup: true
model_kwargs: {}
momentum: 0.9
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: null
opt: adamw
opt_betas:
- 0.9
- 0.99
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
pretrained_path: null
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.3
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: true
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
target_key: null
torchcompile: inductor
torchscript: false
train_crop_mode: null
train_interpolation: random
train_num_samples: null
train_split: train
tta: 0
use_multi_epochs_loader: false
val_num_samples: null
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 20
warmup_lr: 0.0
warmup_prefix: true
weight_decay: 0.15
worker_seeding: all
workers: 8

Thank you for sharing.