diffusion.yaml

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# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
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# distributed under the License is distributed on an "AS IS" BASIS,
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# limitations under the License.
# Defaults
defaults:

  # Dataset
  - dataset/hrrr_era5

  # Model
  - model/stormcast

  # Training
  - training/default

  # Sampler
  - sampler/edm_deterministic

  # Hydra
  - hydra/default

  - _self_

# Diffusion model specific changes
model:
  use_regression_net: True
  regression_weights: "stormcast_checkpoints/regression/StormCastUNet.0.0.mdlus"
  previous_step_conditioning: True
  hyperparameters:
    additive_pos_embed: True

training:
  loss:
    type: 'edm'
  total_train_steps: 450000 # use more training samples for diffusion training; follows StormCast paper
  checkpoint_freq: 10000 # How often to save the checkpoints, measured in number of training steps
  validation_freq: 10000 # how often to record the validation loss, measured in number of training steps