use pre-commit

Former-commit-id: 7cfede95df22a9ff236788f04159b6b16b8d04bb
This commit is contained in:
hiyouga
2024-10-29 09:07:46 +00:00
parent 8f5921692e
commit 248d5daaff
66 changed files with 1028 additions and 1044 deletions

View File

@@ -182,7 +182,7 @@ def _setup_lora_tuning(
model = model.merge_and_unload()
if len(adapter_to_merge) > 0:
logger.info("Merged {} adapter(s).".format(len(adapter_to_merge)))
logger.info(f"Merged {len(adapter_to_merge)} adapter(s).")
if adapter_to_resume is not None: # resume lora training
if model_args.use_unsloth:
@@ -239,8 +239,8 @@ def _setup_lora_tuning(
logger.info("Using PiSSA initialization.")
peft_kwargs["init_lora_weights"] = "pissa"
else:
logger.info("Using PiSSA initialization with FSVD steps {}.".format(finetuning_args.pissa_iter))
peft_kwargs["init_lora_weights"] = "pissa_niter_{}".format(finetuning_args.pissa_iter)
logger.info(f"Using PiSSA initialization with FSVD steps {finetuning_args.pissa_iter}.")
peft_kwargs["init_lora_weights"] = f"pissa_niter_{finetuning_args.pissa_iter}"
lora_config = LoraConfig(
task_type=TaskType.CAUSAL_LM,
@@ -300,6 +300,6 @@ def init_adapter(
config, model, model_args, finetuning_args, is_trainable, cast_trainable_params_to_fp32
)
else:
raise NotImplementedError("Unknown finetuning type: {}.".format(finetuning_args.finetuning_type))
raise NotImplementedError(f"Unknown finetuning type: {finetuning_args.finetuning_type}.")
return model