_target_: lightning.pytorch.trainer.Trainer

default_root_dir: ${paths.output_dir}

min_epochs: 1 # prevents early stopping
max_epochs: 10

accelerator: cpu
devices: 1

# mixed precision for extra speed-up
# precision: 16

# perform a validation loop every N training epochs
check_val_every_n_epoch: 1

# set True to to ensure deterministic results
# makes training slower but gives more reproducibility than just setting seeds
deterministic: False

# determine the frequency of how often to reload the dataloaders
reload_dataloaders_every_n_epochs: 1

# if `gradient_clip_val` is not `null`, gradients will be norm-clipped during training
gradient_clip_algorithm: norm
gradient_clip_val: 1.0

# if `num_sanity_val_steps` is > 0, then specifically that many validation steps will be run during the first call to `trainer.fit`
num_sanity_val_steps: 0