Batch Size and Gradient Accumulation — Roadmap Step & Resources
Balancing memory constraints against training efficiency
- Level: beginner
- Estimated time: 1 days
- Roadmap: Fine-Tuning & Model Customization
Before this step
Study resources
- Hugging Face Documentation (Article) — Official documentation covering Transformers, PEFT, and fine-tuning workflows for open-weight models. Background reading/viewing for: Batch Size and Gradient Accumulation.
- PyTorch Documentation (Article) — Official documentation for the deep learning framework underlying most fine-tuning workflows. Relevant to: Batch Size and Gradient Accumulation.
Part of
- Training Fundamentals for Fine-Tuning — section
- Fine-Tuning & Model Customization roadmap — the full learning path