All activity
Yoav Farhileft a comment
KL Divergance? Gradient Norm? Clip Ratio? I keep forgetting what these ML metrics mean and what to watch for in my LLM training runs. Since I couldn’t find a single resource that explained them without heavy math, I created one: 👋 say hello to metrics.help It covers all the common ML training metrics, and shows graphs of healthy vs unhealthy progressions. You can even paste your log output to...
metrics.helpMachine learning training metrics explained
Machine learning metrics and algorithms, explained.
A simple math-free resource to learn about the different ML training metrics, including:
- Simple definitions and explanations
- Visualizations for healthy and unhealthy progressions
- Deep dive into reinforcement learning algorithms
metrics.helpMachine learning training metrics explained