arch: resnet50
backend: nccl
batch_size_per_gpu: 80
clip_grad: 0.0
data_path: /path/to/imagenet/
dist_url: env://
drop_path_rate: 0.1
epochs: 100
eval_every: 10
freeze_last_layer: 1
global_crops_scale:
- 0.14
- 1.0
local_crops_number: 6
local_crops_scale:
- 0.05
- 0.14
local_rank: 0
lr: 0.3
min_lr: 0.0048
mode: simpool
momentum_teacher: 0.996
nb_knn:
- 10
- 20
- 100
- 200
norm_last_layer: true
num_workers: 10
optimizer: lars
out_dim: 60000
output_dir: /path/to/output/
patch_size: 16
saveckp_freq: 20
seed: 0
subset: -1
teacher_temp: 0.07
temperature: 0.07
use_bn_in_head: true
use_fp16: false
warmup_epochs: 10
warmup_teacher_temp: 0.04
warmup_teacher_temp_epochs: 50
weight_decay: 1.0e-06
weight_decay_end: 1.0e-06