platform-demo-scripts/experiments/sweep_gpd.yaml

name: GPD_fixed_highpass:2-10
method: bayes
metric:
  goal: minimize
  name: val_loss
parameters:
  model_name:
    value:
      - GPD
  batch_size:
    distribution: int_uniform
    max: 1024
    min: 256
  max_epochs:
    value:
      - 30
  learning_rate:
    distribution: uniform
    max: 0.02
    min: 0.005
  highpass:
    value:
      - 1
  lowpass:
    value:
      - 10
initial commit with the pipeline for training and evaluating seisbench models 2023-08-29 09:59:31 +02:00			`name: GPD_fixed_highpass:2-10`
			`method: bayes`
			`metric:`
			`goal: minimize`
			`name: val_loss`
			`parameters:`
			`model_name:`
			`value:`
			`- GPD`
			`batch_size:`
			`distribution: int_uniform`
			`max: 1024`
			`min: 256`
			`max_epochs:`
			`value:`
Added logging MAE for the best runs, option to run a pipeline on a specific dataset, template bash scripts, GPLv3 license. Modified behavior of generating eval targets, it is skipped if targets already exist. 2023-10-12 14:27:53 +02:00			`- 30`
initial commit with the pipeline for training and evaluating seisbench models 2023-08-29 09:59:31 +02:00			`learning_rate:`
			`distribution: uniform`
			`max: 0.02`
			`min: 0.005`
			`highpass:`
			`value:`
Added logging MAE for the best runs, option to run a pipeline on a specific dataset, template bash scripts, GPLv3 license. Modified behavior of generating eval targets, it is skipped if targets already exist. 2023-10-12 14:27:53 +02:00			`- 1`
initial commit with the pipeline for training and evaluating seisbench models 2023-08-29 09:59:31 +02:00			`lowpass:`
			`value:`
Added logging MAE for the best runs, option to run a pipeline on a specific dataset, template bash scripts, GPLv3 license. Modified behavior of generating eval targets, it is skipped if targets already exist. 2023-10-12 14:27:53 +02:00			`- 10`