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better defaults

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legop3
2026-09-28 00:40:55 -04:00
parent 0ff03a74a5
commit 01354c56e6
2 changed files with 13 additions and 6 deletions
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plans/rover learning service.md
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@@ -529,16 +529,23 @@ Training defaults beneath `roverLearning.training`:
| Setting | Default |
|---|---:|
| enabled (still gated by outer service enabled=false) | true |
| threads | 4 |
| threads | 8 |
| batchSize | 16 |
| maxSamples / minimumSamples | 512 / 128 |
| maxSamples / minimumSamples | 1024 / 128 |
| passesPerJob | 2 |
| roundsPerSession | 3 |
| maxStepsPerJob | 200 |
| checkpointEverySteps | 100 |
| intervalSeconds | 300 |
| intervalSeconds | 60 |
| maxJobSeconds | 600 |
Defaults tuned to the user's dual E5-2620 v4 server benchmark: eight training
threads improved throughput substantially over four, while sixteen gave little
additional benefit. The larger sample pool and shorter interval are starting
choices for its available resources, not measured learning-quality improvements.
Inference remains four threads per rover. Existing explicit configuration values
override these defaults; this change does not rewrite deployed configuration.
At most four completed retained sessions are selected per job. Samples are spread
over each full video via reservoir sampling, not always taken from its beginning.
The rounds limit is sampled training visits, not full passes over all recorded