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Add train loss and lr to loggers (#6732)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2023-12-01 22:09:20 +01:00 • committed by GitHub
parent 4425abce59
commit 9618025416
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5 changed files with 25 additions and 7 deletions
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7
ultralytics/utils/callbacks/tensorboard.py
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@ -58,9 +58,10 @@ def on_train_start(trainer):
_log_tensorboard_graph(trainer)
def on_batch_end(trainer):
"""Logs scalar statistics at the end of a training batch."""
def on_train_epoch_end(trainer):
"""Logs scalar statistics at the end of a training epoch."""
_log_scalars(trainer.label_loss_items(trainer.tloss, prefix='train'), trainer.epoch + 1)
_log_scalars(trainer.lr, trainer.epoch + 1)
def on_fit_epoch_end(trainer):
@ -72,4 +73,4 @@ callbacks = {
'on_pretrain_routine_start': on_pretrain_routine_start,
'on_train_start': on_train_start,
'on_fit_epoch_end': on_fit_epoch_end,
'on_batch_end': on_batch_end} if SummaryWriter else {}
'on_train_epoch_end': on_train_epoch_end} if SummaryWriter else {}