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transformers/docs/source/ko/main_classes/optimizer_schedules.md

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+# 최적화[[optimization]]
+
+`.optimization` 모듈은 다음을 제공합니다:
+
+- 미세 조정된 모델에 사용할 수 있는 가중치 감쇠가 적용된 옵티마이저
+- `_LRSchedule`을 상속받는 스케줄 객체 형태의 여러 스케줄
+- 여러 배치의 그래디언트를 누적하는 그래디언트 누적 클래스
+
+
+## AdaFactor (PyTorch)[[transformers.Adafactor]]
+
+[[autodoc]] Adafactor
+
+## 스케줄[[schedules]]
+
+### 학습률 스케줄 (PyTorch)[[transformers.SchedulerType]]
+
+[[autodoc]] SchedulerType
+
+[[autodoc]] get_scheduler
+
+[[autodoc]] get_constant_schedule
+
+[[autodoc]] get_constant_schedule_with_warmup
+
+<img alt="" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/warmup_constant_schedule.png"/>
+
+[[autodoc]] get_cosine_schedule_with_warmup
+
+<img alt="" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/warmup_cosine_schedule.png"/>
+
+[[autodoc]] get_cosine_with_hard_restarts_schedule_with_warmup
+
+<img alt="" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/warmup_cosine_hard_restarts_schedule.png"/>
+
+[[autodoc]] get_linear_schedule_with_warmup
+
+<img alt="" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/warmup_linear_schedule.png"/>
+
+[[autodoc]] get_polynomial_decay_schedule_with_warmup
+
+[[autodoc]] get_inverse_sqrt_schedule
+
+[[autodoc]] get_wsd_schedule