merge lora on train completion
This commit is contained in:
@@ -310,6 +310,20 @@ def train(
|
|||||||
model = BetterTransformer.reverse(model)
|
model = BetterTransformer.reverse(model)
|
||||||
model.save_pretrained(cfg.output_dir, safe_serialization=safe_serialization)
|
model.save_pretrained(cfg.output_dir, safe_serialization=safe_serialization)
|
||||||
|
|
||||||
|
if cfg.adapter is not None:
|
||||||
|
# pylint: disable=duplicate-code
|
||||||
|
LOG.info("running merge of LoRA with base model")
|
||||||
|
model = model.merge_and_unload()
|
||||||
|
model.to(dtype=torch.float16)
|
||||||
|
|
||||||
|
if cfg.local_rank == 0:
|
||||||
|
LOG.info("saving merged model")
|
||||||
|
model.save_pretrained(
|
||||||
|
str(Path(cfg.output_dir) / "merged"),
|
||||||
|
safe_serialization=safe_serialization,
|
||||||
|
)
|
||||||
|
tokenizer.save_pretrained(str(Path(cfg.output_dir) / "merged"))
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
fire.Fire(train)
|
fire.Fire(train)
|
||||||
|
|||||||
Reference in New Issue
Block a user