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warn and ignore export when lora training because the state dict exported during training is wrong

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mrq 2025-05-20 23:38:10 -05:00
parent fee02f4153
commit e46d7ef2cb
1 changed files with 9 additions and 2 deletions
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11
vall_e/utils/trainer.py
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@ -250,7 +250,10 @@ def train(
last_save_step = engines.global_step
if is_global_leader():
engines.export(userdata={"symmap": get_phone_symmap()})
if cfg.lora is not None:
_logger.warning(f"Exporting LoRA during training not properly implemented, please use the export module explicitly.")
else:
engines.export(userdata={"symmap": get_phone_symmap()})
save_ckpt_every = cfg.trainer.save_frequency or cfg.evaluation.frequency
@ -273,7 +276,11 @@ def train(
last_save_step = engines.global_step
if command in export_commands and is_global_leader():
engines.export(userdata={"symmap": get_phone_symmap()})
# to-do: actually export the state properly
if cfg.lora is not None:
_logger.warning(f"Exporting LoRA during training not properly implemented, please use the export module explicitly.")
else:
engines.export(userdata={"symmap": get_phone_symmap()})
if engines.global_step != last_eval_step:
if engines.global_step % cfg.evaluation.frequency == 0 or command in ["eval"]: