Fine-tuning a Go expert: does it actually work? (Part 2)
The v2 adapter trained overnight on 41k samples. Loss 0.918, accuracy 82.7%. I loaded it into vLLM and ran the same prompts. Here’s what came out.
Machine-Learning
Fine-tuning a Go expert: LoRA on a $300 GPU (Part 1)
I trained a LoRA adapter on 41k Go code examples from the Kubernetes and etcd source trees. The first run produced 600 tab characters. Here’s what I learned.