Deci-AI
/
super-gradients
connected to https://github.com/Deci-AI/super-gradients.git


  
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            defaults:
  - default_train_params

max_epochs: 300
lr_mode: cosine
cosine_final_lr_ratio: 0.2
lr_warmup_epochs: 3
warmup_bias_lr: 0.1
warmup_momentum: 0.8
initial_lr: 0.01  # will be scaled according to num DDP processes

loss: yolo_v5_loss
criterion_params: ??? # will be overridden in train conf as it includes sg_model
loss_logging_items_names: [GIoU, obj, cls, Loss]

optimizer: SGD
optimizer_params:
  momentum: 0.937
  weight_decay: 0.0005  # will be scaled according to effective batch size
  nesterov: True

ema: True
mixed_precision: False

valid_metrics_list:
  - _target_: super_gradients.training.metrics.DetectionMetrics
    post_prediction_callback:
      _target_: super_gradients.training.models.yolov5.YoloV5PostPredictionCallback
    num_cls: 80

metric_to_watch: 'mAP@0.50:0.95'
greater_metric_to_watch_is_better: True

_convert_: all