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


  
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            # TODO: PRODUCE RESULTS AND ADD TENSORBOARDS, LOGS, TRAINING TIME ETC.
defaults:
  - training_hyperparams: imagenet_efficientnet_train_params
  - dataset_params: imagenet_dataset_params
  - arch_params: efficientnet_b0_arch_params

dataset_params:
  batch_size: 128
  color_jitter: 0.06

dataset_interface:
  _target_: super_gradients.training.datasets.dataset_interfaces.dataset_interface.ImageNetDatasetInterface
  dataset_params: ${dataset_params}
  data_dir: /data/Imagenet

data_loader_num_workers: 32

model_checkpoints_location: local
load_checkpoint: False

experiment_name: mobileNetv3_large_training

multi_gpu:
  _target_: super_gradients.training.sg_model.MultiGPUMode
  value: 'DDP'

sg_model:
  _target_: super_gradients.SgModel
  experiment_name: ${experiment_name}
  multi_gpu: ${multi_gpu}

architecture: efficientnet_b0