class composer.loggers.ProgressBarLogger(progress_bar=True, log_to_console=None, stream=<_io.TextIOWrapper name='<stderr>' mode='w' encoding='utf-8'>)[source]#

Log metrics to the console and optionally show a progress bar.


This logger is automatically instainatied by the trainer via the progress_bar, log_to_console, and console_stream options. This logger does not need to be created manually.

TQDM is used to display progress bars.

During training, the progress bar logs the batch and training loss. During validation, the progress bar logs the batch and validation accuracy.

Example progress bar output:

Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 64/64 [00:01<00:00, 53.17it/s, loss/train=2.3023]
Epoch 1 (val): 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 20/20 [00:00<00:00, 100.96it/s, accuracy/val=0.0995]
  • progress_bar (bool, optional) โ€“ Whether to show a progress bar. (default: True)

  • log_to_console (bool, optional) โ€“

    Whether to print logging statements to the console. (default: None)

    The default behavior (when set to None) only prints logging statements when progress_bar is False.

  • stream (str | TextIO, optional) โ€“ The console stream to use. If a string, it can either be 'stdout' or 'stderr'. (default: sys.stderr)