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Image Classification
timm
PyTorch
Safetensors
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aa: rand-m7-inc1-mstd1.0-n3
amp: true
amp_dtype: float16
amp_impl: native
aug_repeats: 3.0
aug_splits: 0
batch_size: 256
bce_loss: 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: null
cooldown_epochs: 10
crop_pct: 0.95
cutmix: 1.0
cutmix_minmax: null
data: null
data_dir: /data/imagenet/
dataset: imagenet
dataset_download: false
decay_epochs: 100
decay_milestones:
- 90
- 180
- 270
decay_rate: 0.1
dist_bn: reduce
drop: 0.0
drop_block: null
drop_connect: null
drop_path: 0.2
epoch_repeats: 0.0
epochs: 600
eval_metric: top1
experiment: ''
fast_norm: false
force_cpu: false
fuser: ''
gp: null
grad_accum_steps: 1
grad_checkpointing: false
head_init_bias: null
head_init_scale: 0.0
hflip: 0.5
img_size: 256
in_chans: null
initial_checkpoint: ''
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: null
local_rank: 0
log_interval: 50
log_wandb: false
lr: null
lr_base: 0.0008
lr_base_scale: ''
lr_base_size: 512
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: 0.8
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: vit_betwixt_patch16_reg1_gap_256
model_ema: false
model_ema_decay: 0.9998
model_ema_force_cpu: false
model_kwargs:
fix_init: true
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: 1.0e-08
opt_kwargs: {}
output: ''
patience_epochs: 10
pin_mem: true
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
sched_on_updates: true
seed: 0
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
synchronize_step: false
torchcompile: inductor
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: 20
warmup_lr: 5.0e-07
warmup_prefix: false
weight_decay: 0.06
worker_seeding: all
workers: 8