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wehub-resource-sync a203934033
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chore: import upstream snapshot with attribution
2026-07-13 13:34:58 +08:00

32 lines
1009 B
Python

# Copyright (c) ModelScope Contributors. All rights reserved.
import types
from typing import TYPE_CHECKING
from .base import TrainerCallback
if TYPE_CHECKING:
from swift.trainers import Trainer, TrainingArguments
class AdaloraCallback(TrainerCallback):
def __init__(self, args: 'TrainingArguments', trainer: 'Trainer'):
super().__init__(args, trainer)
self.global_step = 0
self.args = args
# offload original_modules to cpu, to save memory
def on_train_begin(self, _args, state, control, **kwargs):
model = kwargs['model']
model.peft_config['default'].total_step = state.max_steps
def zero_grad(_self, *args, **kwargs):
_self.update_and_allocate(self.global_step + 1)
_self._zero_grad(*args, **kwargs)
model._zero_grad = model.zero_grad
model.zero_grad = types.MethodType(zero_grad, model)
def on_step_end(self, _args, state, control, **kwargs):
self.global_step = state.global_step