config.yaml

# @package _global_

# specify here default configuration
defaults:
  - _self_

  # Default configuration for each component
  - component: null

  # Configured in each component
  - model_cfg: null
  - train_cfg: null

  # Experiment configuration
  - experiment: null
  - hparams_search: null

  - hydra: default.yaml

# use `python run.py debug=true` for easy debugging!
debug: False

# pretty print config at the start of the run using Rich library
print_config: True

# disable python warnings if they annoy you
ignore_warnings: True

# check performance on test set, using the best model achieved during training
test_after_training: True

# tags to help you identify your experiments
# you can overwrite this in experiment configs
# overwrite from command line with `python train.py tags="[first_tag, second_tag]"`
tags: {}

# seed for random number generators in pytorch, numpy and python.random
seed: 1234