| |
|
|
| 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 |
| 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 |
|
|
| 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 |
|
|
