Hugging Face BlogOct 16, 2024, 12:00 AMimportant 85
修正梯度累積:解決 LLM 微調中常被忽視的數學偏差
Original: Fixing Gradient Accumulation
### The Mathematical Flaw in Traditional Gradient Accumulation Gradient accumulation is an extremely common technique in deep learning…
在微調 LLM 時,梯度累積(Gradient Accumulation)常被用來模擬大 Batch Size。然而,Hugging Face 指出,當訓練樣本長度不一時,傳統「直接除以累積步數」的作法會導致數學上的權重偏差。這篇技術部落格詳細解釋了此問題,並介紹了在 Hugging Face Trainer 中引入的全新修正機制,確保梯度累積與真實大 Batch Size 的訓練結果完全一致。
### The Mathematical Flaw in Traditional Gradient Accumulation
Full summary
Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.
See Pro plans →Want the original English / full article?
Read on Hugging Face Blog →Related
Summaries are AI-generated; the original article is authoritative.