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

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imagenet_resnet50_train_params.yaml 635 B
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  1. defaults:
    2. 

  2.   - default_train_params
    3. 

  3. 

  4. max_epochs: 110
    5. 

  5. lr_mode: step
    6. 

  6. lr_updates: [30, 60, 90, 100]
    7. 

  7. lr_decay_factor: 0.1
    8. 

  8. initial_lr: 0.1
    9. 

  9. loss: cross_entropy
    10. 

  10. train_metrics_list:                               # metrics for evaluation
    11. 

  11.   - _target_: super_gradients.training.metrics.Accuracy
    12. 

  12.   - _target_: super_gradients.training.metrics.Top5
    13. 

  13. 

  14. valid_metrics_list:                               # metrics for evaluation
    15. 

  15.   - _target_: super_gradients.training.metrics.Accuracy
    16. 

  16.   - _target_: super_gradients.training.metrics.Top5
    17. 

  17. loss_logging_items_names: [Loss]
    18. 

  18. metric_to_watch: Accuracy
    19. 

  19. greater_metric_to_watch_is_better: True
    20. 

  20. 

  21. _convert_: all
    22.
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