configs/from_peak_list/singlets_fixed_positions.yaml

model:
  name: ShimNetWithSCRF
  kwargs:
    rensponse_length: 81
    resnponse_head_dims:
    - 128
training:
- batch_size: 64
  learning_rate: 0.001
  max_iters: 1600000
- batch_size: 512
  learning_rate: 0.001
  max_iters: 25600000
- batch_size: 512
  learning_rate: 0.0005
  max_iters: 12800000
losses_weights:
  clean: 1.0
  noised: 1.0
  response: 10.0 # increased due to input height 16
data:
  _target_: shimnet.generators.Generator
  input_normalization_height: 16.0
  clean_spectra_generator:
    _target_: shimnet.generators.TheoreticalMultipletSpectraGenerator
    pixels: null # will be inferred from frequency range and step
    frq_step: ${metadata.frq_step}
    frequency_min: -50
    frequency_max: 650
    peaks_parameter_generator:
      _target_: shimnet.generators.PeaksParametersFromSinglets
      number_of_signals_min: 15
      number_of_signals_max: 45
      use_original_position: true
      position_hz_change_min: -5.0
      position_hz_change_max: 5.0
      use_original_height: false
      height_min: 0.02
      height_max: 10.0
      width_factor_min: 0.8
      width_factor_max: 1.2
      gaussian_fraction_change_min: -0.2
      gaussian_fraction_change_max: 0.2
      singlets_files:
      - data/multiplets_lists/mieszanina_po_reakcji_2_squeezed-0.0-20.0Hz.csv
  response_generator:
    _target_: shimnet.generators.ResponseGenerator
    response_function_library:
      _target_: shimnet.generators.ResponseLibrary
      response_files:
      - data/scrf_81_600MHz.pt
  noise_generator:
    _target_: shimnet.generators.NoiseGenerator
    spectrum_noise_min: 0.0
    spectrum_noise_max: 0.01
  include_spectrum_data: false
  include_peak_mask: false
  include_response_function: true
  seed: 44 # null means random seed
  batch_size: null # to be set in training script
logging:
  step: 1000000
  num_plots: 32
metadata:
  frq_step: 0.30048
  spectrometer_frequency: 600.0