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@rwightman
Last active May 2, 2024 16:25
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convnext_hparams

Hparams were run on 8x A100 for in12k or 12k fine-tune runs and 4x V100 for the rest, so global batch size = 320 * 4, etc and should be rescaled using a sqrt rule if changing the global batch size.

aa: rand-m8-inc1-mstd101
amp: true
aug_splits: 0
batch_size: 320
bce_loss: 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: null
cooldown_epochs: 10
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data_dir: gs://imagenet
dataset: tfds/imagenet2012:5.0.0
dataset_download: false
decay_epochs: 100
decay_milestones:
- 30
- 60
decay_rate: 0.1
dist_bn: reduce
drop: 0.2
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 600
eval_metric: top1
experiment: ''
force_cpu: false
gp: null
grad_checkpointing: false
hflip: 0.5
img_size: null
initial_checkpoint: ''
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: 5.0e-07
mixup: 0.2
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: convnext_nano
model_ema: false
model_ema_decay: 0.9998
momentum: 0.9
no_aug: false
no_resume_opt: false
num_classes: null
opt: fusedadamw
opt_betas: null
opt_eps: null
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.2
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
torchscript: false
train_interpolation: random
train_split: train
tta: 0
use_multi_epochs_loader: false
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 5
warmup_lr: 5.0e-07
weight_decay: 0.05
workers: 8
aa: rand-m8-inc1-mstd101
amp: true
amp_dtype: float16
amp_impl: native
aot_autograd: false
apex_amp: false
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 3.0
clip_mode: norm
color_jitter: 0.4
cooldown_epochs: 10
crop_pct: 1.0
cutmix: 1.0
cutmix_minmax: null
data: /data/imagenet/
data_dir: /data/imagenet/
dataset: ''
dataset_download: false
decay_epochs: 100
decay_milestones:
- 30
- 60
decay_rate: 0.1
dist_bn: reduce
drop: 0.0
drop_block: null
drop_connect: null
drop_path: 0.1
dynamo: false
dynamo_backend: null
epoch_repeats: 0.0
epochs: 75
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gp: null
grad_checkpointing: true
hflip: 0.5
img_size: null
in_chans: null
initial_checkpoint: ''
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: 0.75
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.0001
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:
- 0.1
- 1.0
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 5.0e-07
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: convnext_tiny.in12k
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
model_kwargs: {}
momentum: 0.9
native_amp: false
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: 1000
opt: adamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: true
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: false
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
torchcompile: null
torchscript: false
train_interpolation: random
train_split: train
tta: 0
use_multi_epochs_loader: false
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 10
warmup_lr: 1.0e-06
warmup_prefix: false
weight_decay: 0.05
worker_seeding: all
workers: 8
aa: rand-m8-inc1-mstd101
amp: true
amp_dtype: float16
amp_impl: native
aot_autograd: false
apex_amp: false
aug_repeats: 0
aug_splits: 0
batch_size: 512
bce_loss: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 3.0
clip_mode: norm
color_jitter: 0.4
cooldown_epochs: 10
crop_pct: 1.0
cutmix: 1.0
cutmix_minmax: null
data_dir: /data/imagenet/
dataset: ''
dataset_download: false
decay_epochs: 100
decay_milestones:
- 30
- 60
decay_rate: 0.1
dist_bn: reduce
drop: 0.0
drop_block: null
drop_connect: null
drop_path: 0.1
dynamo: false
dynamo_backend: null
epoch_repeats: 0.0
epochs: 75
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gp: null
grad_checkpointing: true
hflip: 0.5
img_size: null
in_chans: null
initial_checkpoint: ''
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: 0.75
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.0001
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:
- 0.1
- 1.0
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 5.0e-07
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: convnext_small.in12k
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
momentum: 0.9
native_amp: false
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: 1000
opt: adamw
opt_betas: null
opt_eps: null
output: ''
patience_epochs: 10
pin_mem: false
pretrained: true
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: false
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
torchcompile: null
torchscript: false
train_interpolation: random
train_split: train
tta: 0
use_multi_epochs_loader: false
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 10
warmup_lr: 1.0e-06
warmup_prefix: false
weight_decay: 0.05
worker_seeding: all
workers: 8
aa: rand-m8-inc1-mstd101
amp: true
amp_dtype: float16
amp_impl: native
aot_autograd: false
apex_amp: false
aug_repeats: 0
aug_splits: 0
batch_size: 96
bce_loss: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 3.0
clip_mode: norm
color_jitter: 0.4
cooldown_epochs: 10
crop_pct: 1.0
cutmix: 1.0
cutmix_minmax: null
data_dir: /data/imagenet/
dataset: ''
dataset_download: false
decay_epochs: 100
decay_milestones:
- 30
- 60
decay_rate: 0.1
dist_bn: reduce
drop: 0.0
drop_block: null
drop_connect: null
drop_path: 0.1
dynamo: false
dynamo_backend: null
epoch_repeats: 0.0
epochs: 75
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gp: null
grad_checkpointing: true
hflip: 0.5
img_size: 384
in_chans: null
initial_checkpoint: ''
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: 0.8
local_rank: 0
log_interval: 50
log_wandb: false
lr: 3.0e-05
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:
- 0.1
- 1.0
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 5.0e-07
mixup: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: convnext_small.in12k
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
model_kwargs: {}
momentum: 0.9
native_amp: false
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: 1000
opt: adamw
opt_betas: null
opt_eps: null
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: false
pretrained: true
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: false
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
torchcompile: null
torchscript: false
train_interpolation: random
train_split: train
tta: 0
use_multi_epochs_loader: false
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 10
warmup_lr: 1.0e-06
warmup_prefix: false
weight_decay: 0.05
worker_seeding: all
workers: 8
aa: rand-m5-inc1-mstd101
amp: true
aug_splits: 0
batch_size: 320
bce_loss: 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: null
cooldown_epochs: 10
crop_pct: null
cutmix: 1.0
cutmix_minmax: null
data_dir: gs://imagenet
dataset: tfds/imagenet2012:5.0.0
dataset_download: false
decay_epochs: 100
decay_milestones:
- 30
- 60
decay_rate: 0.1
dist_bn: reduce
drop: 0.1
drop_block: null
drop_connect: null
drop_path: 0.1
epoch_repeats: 0.0
epochs: 450
eval_metric: top1
experiment: ''
force_cpu: false
gp: null
grad_checkpointing: false
hflip: 0.5
img_size: null
initial_checkpoint: ''
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: 5.0e-07
mixup: 0.2
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: convnext_atto
model_ema: false
model_ema_decay: 0.9998
momentum: 0.9
no_aug: false
no_resume_opt: false
num_classes: null
opt: fusedadamw
opt_betas: null
opt_eps: null
output: ''
patience_epochs: 10
pin_mem: false
pretrained: false
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.1
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
torchscript: false
train_interpolation: random
train_split: train
tta: 0
use_multi_epochs_loader: false
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 5
warmup_lr: 5.0e-07
weight_decay: 0.05
workers: 8
epoch train_loss eval_loss eval_top1 eval_top5
0 6.962782859802246 6.932056903839111 0.12399999797344208 0.621999979019165
1 6.679873466491699 5.959271430969238 3.815999984741211 11.859999656677246
2 6.245198726654053 5.12003231048584 10.20199966430664 25.591999053955078
3 5.914069652557373 4.3946356773376465 17.964000701904297 38.16400146484375
4 5.615854263305664 3.8230700492858887 24.874000549316406 48.52000045776367
5 5.328303337097168 3.306184768676758 31.986000061035156 57.58000183105469
6 5.101682186126709 2.9952030181884766 37.02399826049805 62.987998962402344
7 4.90916109085083 2.7795512676239014 41.19599914550781 66.87799835205078
8 4.756030082702637 2.6026556491851807 44.071998596191406 69.81400299072266
9 4.684296131134033 2.44992995262146 46.85599899291992 72.31199645996094
10 4.57983922958374 2.4140501022338867 48.04800033569336 73.25399780273438
11 4.502230644226074 2.2626593112945557 50.30400085449219 75.21800231933594
12 4.48890495300293 2.2008299827575684 51.69599914550781 76.51200103759766
13 4.4101738929748535 2.126810073852539 52.75 77.2979965209961
14 4.3704071044921875 2.0915277004241943 53.73400115966797 78.08000183105469
15 4.311880111694336 2.017035961151123 54.85200119018555 79.28199768066406
16 4.278065204620361 1.9752686023712158 55.79399871826172 79.97000122070312
17 4.23101282119751 1.9366923570632935 56.737998962402344 80.33999633789062
18 4.206421852111816 1.9125603437423706 56.790000915527344 80.80400085449219
19 4.179361343383789 1.8817113637924194 57.59600067138672 81.28800201416016
20 4.192995071411133 1.8479870557785034 58.46200180053711 81.79000091552734
21 4.105250358581543 1.8253426551818848 58.38399887084961 82.05799865722656
22 4.15812349319458 1.8080068826675415 59.14400100708008 82.6780014038086
23 4.089428901672363 1.7786513566970825 59.70000076293945 82.89800262451172
24 4.090793609619141 1.7745741605758667 59.768001556396484 82.91200256347656
25 4.085205078125 1.7488694190979004 60.332000732421875 83.20999908447266
26 4.023833274841309 1.7520807981491089 60.41400146484375 83.59200286865234
27 4.008516311645508 1.7324435710906982 60.38399887084961 83.68800354003906
28 3.9746546745300293 1.720853328704834 61.09400177001953 83.97000122070312
29 3.982933521270752 1.7139095067977905 61.40599822998047 84.27200317382812
30 3.9845144748687744 1.6762901544570923 61.551998138427734 84.41799926757812
31 3.9968831539154053 1.6687291860580444 62.00199890136719 84.5459976196289
32 3.998162031173706 1.6574604511260986 62.25400161743164 84.53600311279297
33 3.946415901184082 1.664878487586975 62.09600067138672 84.70600128173828
34 3.957542896270752 1.6355037689208984 62.52399826049805 84.83999633789062
35 3.912231922149658 1.6452730894088745 62.47800064086914 84.87200164794922
36 3.861570358276367 1.623677372932434 62.62200164794922 85.22200012207031
37 3.8629825115203857 1.6224368810653687 62.95399856567383 85.38600158691406
38 3.910593271255493 1.6256740093231201 62.895999908447266 85.49600219726562
39 3.890458822250366 1.5988410711288452 63.40399932861328 85.72799682617188
40 3.860063314437866 1.5957809686660767 63.29800033569336 85.75800323486328
41 3.8657634258270264 1.582901120185852 63.784000396728516 85.93199920654297
42 3.8586301803588867 1.5821497440338135 63.051998138427734 85.697998046875
43 3.8978662490844727 1.5710160732269287 63.645999908447266 85.9520034790039
44 3.8714599609375 1.5536717176437378 64.23999786376953 86.14600372314453
45 3.888275146484375 1.5514254570007324 64.06999969482422 86.3499984741211
46 3.850668430328369 1.543163776397705 64.25199890136719 86.44999694824219
47 3.811561107635498 1.5630532503128052 64.3499984741211 86.21800231933594
48 3.830078125 1.5411823987960815 64.61399841308594 86.52200317382812
49 3.8280293941497803 1.5305359363555908 64.41799926757812 86.60399627685547
50 3.8411054611206055 1.5258678197860718 64.61000061035156 86.46199798583984
51 3.7799792289733887 1.5257335901260376 64.74800109863281 86.63600158691406
52 3.816610813140869 1.5090605020523071 64.56800079345703 86.83000183105469
53 3.8219614028930664 1.5079843997955322 64.76200103759766 86.63999938964844
54 3.7470412254333496 1.5175782442092896 65.02200317382812 86.78199768066406
55 3.758389949798584 1.4956462383270264 65.02200317382812 86.80799865722656
56 3.815114974975586 1.5025672912597656 65.25 87.03199768066406
57 3.7572734355926514 1.4717979431152344 65.6259994506836 87.2020034790039
58 3.80250883102417 1.5064256191253662 65.09200286865234 86.76799774169922
59 3.767273426055908 1.497751235961914 65.31600189208984 87.06199645996094
60 3.7910125255584717 1.5073212385177612 65.37799835205078 86.88600158691406
61 3.7180449962615967 1.4867509603500366 65.50599670410156 87.04399871826172
62 3.789991855621338 1.4917830228805542 65.27400207519531 86.91799926757812
63 3.7769980430603027 1.4633926153182983 65.75800323486328 87.197998046875
64 3.7668027877807617 1.474511742591858 65.39800262451172 87.14800262451172
65 3.743690252304077 1.4711445569992065 65.64800262451172 87.16600036621094
66 3.7669546604156494 1.4725185632705688 65.78199768066406 87.25199890136719
67 3.753891944885254 1.466629981994629 65.64199829101562 87.30999755859375
68 3.7148282527923584 1.4675405025482178 65.93800354003906 87.54199981689453
69 3.7786691188812256 1.4652924537658691 66.09400177001953 87.4000015258789
70 3.7393276691436768 1.4527175426483154 65.93399810791016 87.40399932861328
71 3.7460696697235107 1.4762401580810547 65.60199737548828 87.3280029296875
72 3.703174114227295 1.4585055112838745 65.98999786376953 87.38600158691406
73 3.8139357566833496 1.4661215543746948 65.83599853515625 87.47000122070312
74 3.7224788665771484 1.4285941123962402 66.23799896240234 87.69200134277344
75 3.750413179397583 1.4504185914993286 66.22200012207031 87.63800048828125
76 3.7198598384857178 1.4585208892822266 65.97799682617188 87.59400177001953
77 3.715610980987549 1.4532045125961304 66.31199645996094 87.63600158691406
78 3.7096190452575684 1.4276907444000244 66.55000305175781 87.62799835205078
79 3.7333834171295166 1.4457536935806274 66.43599700927734 87.74199676513672
80 3.729872703552246 1.4327459335327148 66.55599975585938 87.8740005493164
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