AINewsnow

The One Knob I Never Swept Was the Optimizer. Adam Beat My Tuned SGD by 0.7

When I ranked training knobs by effect size , I swept the learning rate, the weight decay, the batch size and the augmentation — and never once questioned the torch.optim.SGD at the top of the file. That wasn't a decision; it was a reflex backed by the most durable folklore in deep learning: SGD ge…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-16 00:02 · DEV Community — Machine Learning
    The One Knob I Never Swept Was the Optimizer. Adam Beat My Tuned SGD by 0.7

More stories

  1. Meta releases open weights for 816B-parameter Muse Spark model — AWS Machine Learning Blog
  2. NVIDIA Releases Open Nemotron 3.5 Super VL and Bolt Models for Agentic AI — NVIDIA Blog
  3. Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline — Hugging Face Blog
  4. Black Forest Labs releases open-weights FLUX 3 Image Klein model — Hugging Face Blog
  5. Meta and Apple partner to run Muse Spark Open AI model on Macs — Wall Street Journal Technology
  6. Anthropic Reports $16.8 Billion Q3 Revenue Ahead of Planned IPO — New York Times Technology
  7. Microsoft and Nvidia launch RTX Spark laptops optimized for AI — NVIDIA Blog
  8. "Mommy and daddy" play nice: Apple and Meta team up to bring open-source Muse to Macs — Axios AI+

Get the daily brief of stories like this at 6:30 every morning →