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

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imagenet_repvgg_train_params.yaml 680 B
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  1. defaults:
    2. 

  2.   - default_train_params
    3. 

  3. 

  4. max_epochs: 120
    5. 

  5. lr_mode: cosine
    6. 

  6. initial_lr: 0.1
    7. 

  7. cosine_final_lr_ratio: 0
    8. 

  8. 

  9. loss: cross_entropy
    10. 

  10. 

  11. zero_weight_decay_on_bias_and_bn: True
    12. 

  12. average_best_models: True
    13. 

  13. 

  14. loss_logging_items_names: [Loss]
    15. 

  15. metric_to_watch: Accuracy
    16. 

  16. greater_metric_to_watch_is_better: True
    17. 

  17. 

  18. train_metrics_list:                               # metrics for evaluation
    19. 

  19.   - _target_: super_gradients.training.metrics.Accuracy
    20. 

  20.   - _target_: super_gradients.training.metrics.Top5
    21. 

  21. 

  22. valid_metrics_list:                               # metrics for evaluation
    23. 

  23.   - _target_: super_gradients.training.metrics.Accuracy
    24. 

  24.   - _target_: super_gradients.training.metrics.Top5
    25. 

  25. 

  26. _convert_: all
    27.
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