# @package _group_

common:
  fp16: true
  log_format: json
  log_interval: 200
  tensorboard_logdir: tb

checkpoint:
  save_interval: 5
  save_interval_updates: 25000
  keep_interval_updates: 1
  no_epoch_checkpoints: true

task:
  _name: image_pretraining
  data: /datasets01/imagenet_full_size/061417

dataset:
  num_workers: 6
  batch_size: 128
  skip_invalid_size_inputs_valid_test: true
  required_batch_size_multiple: 2
  disable_validation: true

distributed_training:
  distributed_world_size: 16
  ddp_backend: legacy_ddp

criterion:
  _name: model
  log_keys:
    - ema_decay
    - target_var
    - pred_var

optimization:
  max_update: 375300 #300*1251
  lr: [0.0005]
  clip_norm: 3.0

optimizer:
  _name: adam
  adam_betas: (0.9,0.999)
  adam_eps: 1e-08
  weight_decay: 0.05

lr_scheduler:
  _name: cosine
  warmup_updates: 12510 # it should be 10 epochs

model:
  _name: data2vec_vision

  attention_dropout: 0.05

  ema_decay: 0.999
  ema_end_decay: 0.9998
  layer_norm_targets: True
  average_top_k_layers: 6

  loss_beta: 2.0
  
  drop_path: 0.25