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Add LossRecorder and use moving average in all places

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This commit is contained in:
Yuta Hayashibe
2023-10-27 17:49:49 +09:00
parent 2a23713f71
commit 3d2bb1a8f1
5 changed files with 33 additions and 30 deletions
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14
train_network.py
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@@ -703,8 +703,7 @@ class NetworkTrainer:
"network_train" 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()
del train_dataset_group
# callback for step start
@@ -854,13 +853,8 @@ class NetworkTrainer:
remove_model(remove_ckpt_name)
current_loss = loss.detach().item()
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)
loss_recorder.add(epoch=epoch, step=step, loss=current_loss)
avr_loss: float = loss_recorder.get_moving_average()
logs = {"loss": avr_loss} # , "lr": lr_scheduler.get_last_lr()[0]}
progress_bar.set_postfix(**logs)
@@ -875,7 +869,7 @@ class NetworkTrainer:
break
if args.logging_dir is not None:
logs = {"loss/epoch": loss_total / len(loss_list)}
logs = {"loss/epoch": loss_recorder.get_moving_average()}
accelerator.log(logs, step=epoch + 1)
accelerator.wait_for_everyone()