| checkpoint_monitor: | |
| _target_: lightning.pytorch.callbacks.ModelCheckpoint | |
| monitor: val/nll # name of the logged metric which determines when model is improving | |
| mode: min # can be "max" or "min" | |
| save_top_k: 1 # save k best models (determined by above metric) | |
| save_last: False # True = additionally always save model from last epoch | |
| dirpath: ${checkpointing.save_dir}/checkpoints | |
| filename: best | |
| auto_insert_metric_name: False | |
| verbose: True | |