| |
|
|
| common: |
| fp16: true |
| log_format: json |
| log_interval: 200 |
| tensorboard_logdir: tb |
| fp16_no_flatten_grads: true |
|
|
| checkpoint: |
| save_interval: 1 |
| save_interval_updates: 25000 |
| keep_interval_updates: 1 |
| no_epoch_checkpoints: true |
| best_checkpoint_metric: accuracy |
| maximize_best_checkpoint_metric: true |
|
|
| task: |
| _name: mae_image_classification |
| data: /datasets01/imagenet_full_size/061417 |
|
|
| dataset: |
| num_workers: 6 |
| batch_size: 32 |
| skip_invalid_size_inputs_valid_test: true |
| required_batch_size_multiple: 2 |
| valid_subset: val |
|
|
| distributed_training: |
| distributed_world_size: 16 |
| ddp_backend: c10d |
|
|
| criterion: |
| _name: model |
| log_keys: |
| - correct |
|
|
| optimization: |
| max_update: 250200 |
| lr: [0.001] |
|
|
| optimizer: |
| _name: composite |
| dynamic_groups: true |
| groups: |
| default: |
| lr_float: 0.001 |
| optimizer: |
| _name: adam |
| adam_betas: [0.9,0.95] |
| weight_decay: 0.05 |
| lr_scheduler: |
| _name: cosine |
| warmup_updates: 16000 |
| min_lr: 1e-6 |
|
|
|
|
| lr_scheduler: pass_through |
|
|
| model: |
| _name: mae_image_classification |
| mixup: 0.7 |
| mixup_prob: 0.9 |
|
|
| model_path: ??? |
|
|
