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pvnet_v2_summation

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pvnet_v2_summation
File size: 2,646 Bytes 
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trainer:
  _target_: lightning.pytorch.trainer.trainer.Trainer
  accelerator: gpu
  devices:
  - 2
  min_epochs: null
  max_epochs: 300
  reload_dataloaders_every_n_epochs: 0
  num_sanity_val_steps: 8
  fast_dev_run: false
  log_every_n_steps: 50
model:
  _target_: pvnet_summation.training.lightning_module.PVNetSummationLightningModule
  model:
    _target_: pvnet_summation.models.dense_model.DenseModel
    output_quantiles:
    - 0.02
    - 0.1
    - 0.25
    - 0.5
    - 0.75
    - 0.9
    - 0.98
    output_network:
      _target_: pvnet.models.late_fusion.linear_networks.networks.ResFCNet
      _partial_: true
      fc_hidden_features: 128
      n_res_blocks: 2
      res_block_layers: 2
      dropout_frac: 0.2
    predict_difference_from_sum: true
    history_minutes: 120
    forecast_minutes: 480
    interval_minutes: 30
    num_input_locations: 331
    input_quantiles:
    - 0.02
    - 0.1
    - 0.25
    - 0.5
    - 0.75
    - 0.9
    - 0.98
  optimizer:
    _target_: pvnet_summation.optimizers.AdamWReduceLROnPlateau
    lr: 3.0e-05
    weight_decay: 0.25
    amsgrad: true
    patience: 10
    factor: 0.1
    threshold: 0.0
datamodule:
  configuration: /home/james/repos/PVNet/configs/datamodule/configuration/new_gsps2.yaml
  batch_size: 32
  num_workers: 12
  prefetch_factor: 2
  persistent_workers: true
  max_num_train_samples: null
  max_num_val_samples: null
  pvnet_model:
    model_id: /home/james/tmp/models/49nlmpdy
    revision: null
  train_period:
  - null
  - '2021-12-31'
  val_period:
  - '2022-01-01'
  - '2022-12-31'
  seed: ${seed}
  dataset_pickle_dir: /home/james/tmp/summation_dataset_pickles
callbacks:
  learning_rate_monitor:
    _target_: lightning.pytorch.callbacks.LearningRateMonitor
    logging_interval: epoch
  model_summary:
    _target_: lightning.pytorch.callbacks.ModelSummary
    max_depth: 3
  model_checkpoint:
    _target_: lightning.pytorch.callbacks.ModelCheckpoint
    monitor: ${resolve_monitor_loss:${model.model.output_quantiles}}
    mode: min
    save_top_k: 1
    save_last: true
    every_n_epochs: 1
    verbose: false
    filename: epoch={epoch}-step={step}
    dirpath: checkpoints/${model_name}
    auto_insert_metric_name: false
    save_on_train_epoch_end: false
logger:
  wandb:
    _target_: lightning.pytorch.loggers.wandb.WandbLogger
    project: pvnet_summation
    name: ${model_name}
    save_dir: ./
    offline: false
    id: null
    log_model: false
    prefix: ''
    job_type: train
    group: ''
    tags: []
sample_save_dir: /home/james/repos/pvnet-summation/presaved_saved_samples
work_dir: ${hydra:runtime.cwd}
model_name: 2NWP+sat0_v2
seed: 2727831