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support report custom args

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Former-commit-id: d41254c40a1c5cacf9377096adb27efa9bdb79ea
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hiyouga
2024-12-19 14:57:09 +00:00
parent adff887659
commit a897d46049
20 changed files with 164 additions and 124 deletions
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10
src/llamafactory/train/sft/trainer.py
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@@ -28,8 +28,8 @@ from typing_extensions import override
from ...extras import logging
from ...extras.constants import IGNORE_INDEX
from ...extras.packages import is_transformers_version_equal_to_4_46, is_transformers_version_greater_than
from ..callbacks import PissaConvertCallback, SaveProcessorCallback
from ..trainer_utils import create_custom_optimizer, create_custom_scheduler, get_swanlab_callback
from ..callbacks import SaveProcessorCallback
from ..trainer_utils import create_custom_optimizer, create_custom_scheduler
if TYPE_CHECKING:
@@ -62,18 +62,12 @@ class CustomSeq2SeqTrainer(Seq2SeqTrainer):
if processor is not None:
self.add_callback(SaveProcessorCallback(processor))
if finetuning_args.pissa_convert:
self.add_callback(PissaConvertCallback)
if finetuning_args.use_badam:
from badam import BAdamCallback, clip_grad_norm_old_version # type: ignore
self.accelerator.clip_grad_norm_ = MethodType(clip_grad_norm_old_version, self.accelerator)
self.add_callback(BAdamCallback)
if finetuning_args.use_swanlab:
self.add_callback(get_swanlab_callback(finetuning_args))
@override
def create_optimizer(self) -> "torch.optim.Optimizer":
if self.optimizer is None: