{
  "cmdline": "train_detection.py --network deformable_detr_boxref --tag coco --backbone convnext_v2_tiny --backbone-tag imagenet21k --backbone-pretrained --opt adamw --lr 0.0002 --backbone-lr 0.00002 --lr-scheduler step --lr-step-size 40 --lr-step-gamma 0.1 --batch-size 2 --epochs 50 --wd 0.0001 --grad-accum-steps 16 --multiscale --max-size 1152 --clip-grad-norm 0.1 --amp --amp-dtype bfloat16 --compile-backbone --compile-opt --save-frequency 1 --data-path ~/Datasets/cocodataset/train2017 --val-path ~/Datasets/cocodataset/val2017 --coco-json-path ~/Datasets/cocodataset/annotations/instances_train2017.json --coco-val-json-path ~/Datasets/cocodataset/annotations/instances_val2017.json --class-file public_datasets_metadata/coco-classes.txt --no-summary",
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  "channels": 3,
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  "batch_size": 2,
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  "aug_type": "birder",
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  "keep_last": null,
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  "model_ema_steps": 1,
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  "ra_sampler": false,
  "ra_reps": 3,
  "tag": "coco",
  "log_interval": 20,
  "num_workers": 8,
  "prefetch_factor": null,
  "amp": true,
  "amp_dtype": "bfloat16",
  "fast_matmul": false,
  "grad_anomaly_detection": false,
  "world_size": 2,
  "dist_url": "env://",
  "clip_grad_norm": 0.1,
  "gpu": 0,
  "cpu": false,
  "use_deterministic_algorithms": false,
  "binary_mode": false,
  "plot_lr": false,
  "no_summary": true,
  "val_path": "~/Datasets/cocodataset/val2017",
  "data_path": "~/Datasets/cocodataset/train2017",
  "coco_val_json_path": "~/Datasets/cocodataset/annotations/instances_val2017.json",
  "coco_json_path": "~/Datasets/cocodataset/annotations/instances_train2017.json",
  "class_file": "public_datasets_metadata/coco-classes.txt",
  "ignore_file": null,
  "rank": 0,
  "distributed": true,
  "dist_backend": "nccl"
}