models/hyperstarcop_mag1c_rgb/config.yaml

wandb_version: 1

_content:
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  value:
    dataloader: '{''batch_size'': 32, ''num_workers'': 4}'
    dataset: '{''input_products'': [''mag1c'', ''TOA_AVIRIS_640nm'', ''TOA_AVIRIS_550nm'',
      ''TOA_AVIRIS_460nm''], ''output_products'': [''labelbinary''], ''use_weight_loss'':
      True, ''weight_loss'': ''weight_mag1c'', ''training_size'': [128, 128], ''training_size_overlap'':
      [64, 64], ''weight_sampling'': True, ''root_folder'': ''/Permian/dataset'',
      ''train_csv'': ''train.csv''}'
    experiment_name: f4_hyper_unetsempos1all_all_15ep_R3
    experiment_path: gs://starcop/experiments/f4_hyper_unetsempos1all_all_15ep_R3/2022-11-10_19-03/
    model: '{''train'': True, ''test'': True, ''model_mode'': ''segmentation_output'',
      ''model_type'': ''unet_semseg'', ''semseg_backbone'': ''mobilenet_v2'', ''num_classes'':
      1, ''optimizer'': ''adam'', ''lr'': 0.0001, ''lr_decay'': 0.5, ''lr_patience'':
      4, ''loss'': ''BCEWithLogitsLoss'', ''pos_weight'': 1, ''early_stopping_patience'':
      8}'
    plot_samples: '8'
    products_plot:
    - rgb_aviris
    - mag1c
    - label
    - pred
    - differences
    resume_from_checkpoint: 'False'
    seed: None
    training: '{''accelerator'': ''gpu'', ''devices'': 1, ''max_epochs'': 15, ''val_check_interval'':
      0.5, ''train_log_every_n_steps'': 10}'
    wandb: '{''wandb_project'': ''starcop-aviris-seg-vitek'', ''wandb_entity'': ''dtacs'',
      ''images_logging'': ''wandb''}'
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_metadata:
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    ''dict''>, {''now'': {(''%Y-%m-%d'',): ''2022-11-10'', (''%H-%M-%S'',): ''19-03-19'',
    (''%Y-%m-%d_%H-%M'',): ''2022-11-10_19-03''}}), key_type=typing.Any, element_type=typing.Any)'
_parent:
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_wandb:
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  value:
    cli_version: 0.13.3
    framework: lightning
    is_jupyter_run: false
    is_kaggle_kernel: false
    m:
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      6:
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    - 1: val_batch.height
      5: 1
      6:
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    - 1: train_BCEWithLogitsLoss
      5: 1
      6:
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    - 1: epoch
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      6:
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    - 1: val_loss
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      6:
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      6:
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    - 1: val_iou
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      6:
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    - 1: val_accuracy
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      6:
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    - 1: val_cohen_kappa
      5: 1
      6:
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    - 1: val_balanced_accuracy
      5: 1
      6:
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    - 1: val_classification_precision
      5: 1
      6:
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      5: 1
      6:
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      6:
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      6:
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      6:
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    - 1: val_classification_cohen_kappa
      5: 1
      6:
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    - 1: train_batch._type
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      5: 1
      6:
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    python_version: 3.10.6
    start_time: 1668107000.728245
    t:
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      3:
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      4: 3.10.6
      5: 0.13.3
      8:
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settings/dataloader/batch_size:
  desc: null
  value: 32
settings/dataloader/num_workers:
  desc: null
  value: 4
settings/dataset/input_products:
  desc: null
  value:
  - mag1c
  - TOA_AVIRIS_640nm
  - TOA_AVIRIS_550nm
  - TOA_AVIRIS_460nm
settings/dataset/output_products:
  desc: null
  value:
  - labelbinary
settings/dataset/root_folder:
  desc: null
  value: /Permian/dataset
settings/dataset/train_csv:
  desc: null
  value: train.csv
settings/dataset/training_size:
  desc: null
  value:
  - 128
  - 128
settings/dataset/training_size_overlap:
  desc: null
  value:
  - 64
  - 64
settings/dataset/use_weight_loss:
  desc: null
  value: true
settings/dataset/weight_loss:
  desc: null
  value: weight_mag1c
settings/dataset/weight_sampling:
  desc: null
  value: true
settings/experiment_name:
  desc: null
  value: f4_hyper_unetsempos1all_all_15ep_R3
settings/experiment_path:
  desc: null
  value: gs://starcop/experiments/f4_hyper_unetsempos1all_all_15ep_R3/2022-11-10_19-03/
settings/model/early_stopping_patience:
  desc: null
  value: 8
settings/model/loss:
  desc: null
  value: BCEWithLogitsLoss
settings/model/lr:
  desc: null
  value: 0.0001
settings/model/lr_decay:
  desc: null
  value: 0.5
settings/model/lr_patience:
  desc: null
  value: 4
settings/model/model_mode:
  desc: null
  value: segmentation_output
settings/model/model_type:
  desc: null
  value: unet_semseg
settings/model/num_classes:
  desc: null
  value: 1
settings/model/optimizer:
  desc: null
  value: adam
settings/model/pos_weight:
  desc: null
  value: 1
settings/model/semseg_backbone:
  desc: null
  value: mobilenet_v2
settings/model/test:
  desc: null
  value: false
settings/model/train:
  desc: null
  value: true
settings/plot_samples:
  desc: null
  value: 8
settings/products_plot:
  desc: null
  value:
  - rgb_aviris
  - mag1c
  - label
  - pred
  - differences
settings/resume_from_checkpoint:
  desc: null
  value: false
settings/seed:
  desc: null
  value: None
settings/training/accelerator:
  desc: null
  value: gpu
settings/training/devices:
  desc: null
  value: 1
settings/training/max_epochs:
  desc: null
  value: 15
settings/training/train_log_every_n_steps:
  desc: null
  value: 10
settings/training/val_check_interval:
  desc: null
  value: 0.5
settings/wandb/images_logging:
  desc: null
  value: wandb
settings/wandb/wandb_entity:
  desc: null
  value: dtacs
settings/wandb/wandb_project:
  desc: null
  value: starcop-aviris-seg-vitek
settings/wandb_logger_version:
  desc: null
  value: 1envh3p6