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Merge pull request #899 from shirayu/use_moving_average

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Show moving average loss in the progress bar
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Kohya S
2023-10-29 14:37:58 +09:00
committed by GitHub
parent fb97a7aab1 63992b81c8
commit 9d6a5a0c79
8 changed files with 53 additions and 67 deletions
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16
train_db.py
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@@ -265,8 +265,7 @@ def train(args):
init_kwargs = toml.load(args.log_tracker_config)
accelerator.init_trackers("dreambooth" if args.log_tracker_name is None else args.log_tracker_name, init_kwargs=init_kwargs)
loss_list = []
loss_total = 0.0
loss_recorder = train_util.LossRecorder()
for epoch in range(num_train_epochs):
accelerator.print(f"\nepoch {epoch+1}/{num_train_epochs}")
current_epoch.value = epoch + 1
@@ -395,21 +394,16 @@ def train(args):
)
accelerator.log(logs, step=global_step)
if epoch == 0:
loss_list.append(current_loss)
else:
loss_total -= loss_list[step]
loss_list[step] = current_loss
loss_total += current_loss
avr_loss = loss_total / len(loss_list)
logs = {"loss": avr_loss} # , "lr": lr_scheduler.get_last_lr()[0]}
loss_recorder.add(epoch=epoch, step=step, loss=current_loss)
avr_loss: float = loss_recorder.moving_average
logs = {"avr_loss": avr_loss} # , "lr": lr_scheduler.get_last_lr()[0]}
progress_bar.set_postfix(**logs)
if global_step >= args.max_train_steps:
break
if args.logging_dir is not None:
logs = {"loss/epoch": loss_total / len(loss_list)}
logs = {"loss/epoch": loss_recorder.moving_average}
accelerator.log(logs, step=epoch + 1)
accelerator.wait_for_everyone()