Tag: #vqa
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 1 posts
AI for Everyone, Part 3 — Loss of 0.0017, Accuracy of 7.5%: The Culprit Was One Padding Slot
We built a VQA model — one that answers questions about an image — with 1.48 million parameters. Training loss fell to 0.0017 while accuracy sat at 7.5%, worse than guessing. The cause was not the model but a single line
2026-08-21 · 8 min read #ai#vqa#multimodal#debugging#pytorch