Polyak Averaging Issues
Polyak averaging issues arise from incorrect averaging window, frequency, or weight initialization.
Polyak averaging issues arise from incorrect averaging window, frequency, or weight initialization.
What this failure is
Polyak Averaging Issues is a Training Stability failure seen during ML training runs. Polyak averaging issues arise from incorrect averaging window, frequency, or weight initialization. Common tags: Polyak Averaging, Target Network, Rl, Averaging.
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Why it happens (the mechanism)
Polyak average update frequency too low. Polyak average decay rate wrong. Averaged model not in eval mode. Polyak average applied to wrong parameters (e.g., BN). Taken together, these mechanisms explain why the failure is reproducible, why it tends to surface on specific workloads or scales, and why generic mitigation attempts often fall short without addressing the underlying cause.
What you'll observe
- Polyak average is worse than final model
- Polyak average doesn't improve training
- Polyak average is too slow to update
Common symptoms and what they mean
| Symptom | Why it happens |
|---|---|
| Polyak averaged model underperforms online model | Polyak average update frequency too low |
| Averaging window too small or too large | Polyak average decay rate wrong |
| Polyak average not used in evaluation | Averaged model not in eval mode |
Which systems are affected
- RL training with Polyak averaging
- Custom training loops with model averaging
- Research with advanced averaging techniques
How to confirm this is the problem
Use this checklist to test the hypothesis against a small reproduction. No single line proves the root cause, so preserve the preceding events and compare one variable at a time.
- ✓Reproduce the failure from a clean checkpoint/seed: the symptom must appear without warm-up state from a previous run.
- ✓Verified signal present: Polyak averaged model underperforms online model
- ✓Verified signal present: Averaging window too small or too large
- ✓Verified signal present: Polyak average not used in evaluation
- ✓A targeted fix from the "How to fix it" section eliminates or substantially reduces the symptom within one validation pass.
The fix and the prevention pattern
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Diagnose this failure in VS Code
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Root cause
- Polyak average update frequency too low
- Polyak average decay rate wrong
- Averaged model not in eval mode
- Polyak average applied to wrong parameters (e.g., BN)
The fix and how to prevent it
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