_wandb: value: cli_version: 0.19.4 m: [] python_version: 3.9.21 t: "1": - 1 - 41 - 49 - 51 - 55 - 63 - 105 "2": - 1 - 41 - 49 - 51 - 55 - 63 - 105 "3": - 13 - 15 - 16 - 23 - 55 "4": 3.9.21 "5": 0.19.4 "8": - 5 "12": 0.19.4 "13": linux-x86_64 aa: value: null amp: value: true amp_dtype: value: float16 amp_impl: value: native aug_repeats: value: 0 aug_splits: value: 0 batch_size: value: 256 bce_loss: value: false bce_pos_weight: value: null bce_sum: value: false bce_target_thresh: value: null bn_eps: value: null bn_momentum: value: null channels_last: value: false checkpoint_hist: value: 10 class_map: value: "" clip_grad: value: null clip_mode: value: norm color_jitter: value: 0.4 color_jitter_prob: value: null cooldown_epochs: value: 0 crop_pct: value: null cutmix: value: 0 cutmix_minmax: value: null data: value: null data_dir: value: null dataset: value: hfds/datacomp/imagenet-1k-random-30.0-frac-1over8 dataset_download: value: false dataset_trust_remote_code: value: false decay_epochs: value: 90 decay_milestones: value: - 90 - 180 - 270 decay_rate: value: 0.1 device: value: cuda:0 device_modules: value: null dist_bn: value: reduce distributed: value: true drop: value: 0 drop_block: value: null drop_connect: value: null drop_path: value: null epoch_repeats: value: 0 epochs: value: 150 eval_metric: value: top1 experiment: value: ImageNetTraining30.0-frac-1over8 fast_norm: value: false fuser: value: "" gaussian_blur_prob: value: null gp: value: null grad_accum_steps: value: 1 grad_checkpointing: value: false grayscale_prob: value: null head_init_bias: value: null head_init_scale: value: null hflip: value: 0.5 img_size: value: null in_chans: value: null initial_checkpoint: value: "" input_img_mode: value: null input_key: value: null input_size: value: null interpolation: value: "" jsd_loss: value: false layer_decay: value: null local_rank: value: 0 log_interval: value: 50 log_wandb: value: true lr: value: 0.4 lr_base: value: 0.1 lr_base_scale: value: "" lr_base_size: value: 256 lr_cycle_decay: value: 0.5 lr_cycle_limit: value: 1 lr_cycle_mul: value: 1 lr_k_decay: value: 1 lr_noise: value: null lr_noise_pct: value: 0.67 lr_noise_std: value: 1 mean: value: null min_lr: value: 0 mixup: value: 0 mixup_mode: value: batch mixup_off_epoch: value: 0 mixup_prob: value: 1 mixup_switch_prob: value: 0.5 model: value: seresnet34 model_dtype: value: null model_ema: value: false model_ema_decay: value: 0.9998 model_ema_force_cpu: value: false model_ema_warmup: value: false momentum: value: 0.9 no_aug: value: false no_ddp_bb: value: false no_prefetcher: value: false no_resume_opt: value: false num_classes: value: 1000 opt: value: sgd opt_betas: value: null opt_eps: value: null output: value: "" patience_epochs: value: 10 pin_mem: value: false prefetcher: value: true pretrained: value: false pretrained_path: value: null rank: value: 0 ratio: value: - 0.75 - 1.3333333333333333 recount: value: 1 recovery_interval: value: 0 remode: value: pixel reprob: value: 0.5 resplit: value: false resume: value: "" save_images: value: false scale: value: - 0.08 - 1 sched: value: cosine sched_on_updates: value: false seed: value: 42 smoothing: value: 0.1 split_bn: value: false start_epoch: value: null std: value: null sync_bn: value: false synchronize_step: value: false target_key: value: null torchcompile: value: null torchcompile_mode: value: null torchscript: value: false train_crop_mode: value: null train_interpolation: value: random train_num_samples: value: null train_split: value: train tta: value: 0 use_multi_epochs_loader: value: false val_num_samples: value: null val_split: value: validation validation_batch_size: value: null vflip: value: 0 wandb_project: value: ImageNetTraining30.0-frac-1over8 wandb_resume_id: value: "" wandb_tags: value: [] warmup_epochs: value: 5 warmup_lr: value: 1e-05 warmup_prefix: value: false weight_decay: value: 2e-05 worker_seeding: value: all workers: value: 4 world_size: value: 4