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

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imagenet_mobilenetv3_train_params.yaml 753 B
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  1. defaults:
    2. 

  2.   - default_train_params
    3. 

  3. 

  4. max_epochs: 150
    5. 

  5. lr_mode: cosine
    6. 

  6. initial_lr: 0.1
    7. 

  7. optimizer: SGD
    8. 

  8. 

  9. optimizer_params:
    10. 

  10.   weight_decay: 0.00004
    11. 

  11. 

  12. lr_warmup_epochs: 5
    13. 

  13. loss: cross_entropy
    14. 

  14. criterion_params:
    15. 

  15.   smooth_eps: 0.1
    16. 

  16. 

  17. zero_weight_decay_on_bias_and_bn: True
    18. 

  18. ema: True
    19. 

  19. 

  20. loss_logging_items_names: [Loss]
    21. 

  21. metric_to_watch: Accuracy
    22. 

  22. greater_metric_to_watch_is_better: True
    23. 

  23. 

  24. train_metrics_list:                               # metrics for evaluation
    25. 

  25.   - _target_: super_gradients.training.metrics.Accuracy
    26. 

  26.   - _target_: super_gradients.training.metrics.Top5
    27. 

  27. 

  28. valid_metrics_list:                               # metrics for evaluation
    29. 

  29.   - _target_: super_gradients.training.metrics.Accuracy
    30. 

  30.   - _target_: super_gradients.training.metrics.Top5
    31. 

  31. 

  32. _convert_: all
    33.
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