Validation Perplexity
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Validation Perplexity has 6 facts recorded in Dontopedia across 3 references.
Mostly:rdf:type(1), has value range(1), has behavior(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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hasMetricHas Metric(1)
- Config Anchor Kan
ex:config-anchor-kan
hasTopicHas Topic(1)
- Log Entry 1
ex:log-entry-1
performsExplanationPerforms Explanation(1)
- Message 2026 03 07 04 39
ex:message-2026-03-07-04-39
reportsMetricReports Metric(1)
- Msg 0433
ex:msg-0433
Other facts (5)
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References (3)
ctx:discord/blah/watt-activation/41- full textwatt-activation-41text/plain2 KB
doc:agent/watt-activation-41/72feaad1-da4d-405f-9a39-dc01405b6065Show excerpt
[2026-03-07 04:39] xenonfun: ### Validation Perplexity: The gold standard for "best" tracking is eval loss on a held-out set — data the model never trains on. You periodically pause, run the model over the val set with no gradient upda…
ctx:discord/blah/watt-activation/193- full textwatt-activation-193text/plain3 KB
doc:agent/watt-activation-193/b982ee37-c42f-49ed-bcc9-0f5b6259a2c9Show excerpt
[2026-03-10 04:26] lisamegawatts: if its now unfrozen, try the energy loss one [2026-03-10 04:26] xenonfun: ``` Root cause: The loss-gradient-derived coupling update is structurally anti-synchronizing. Coupling should be driven by Kuramoto …
ctx:discord/blah/watt-activation/196- full textwatt-activation-196text/plain3 KB
doc:agent/watt-activation-196/365c341f-1760-47af-88b6-891859135088Show excerpt
[2026-03-10 05:43] xenonfun: ⏺ Fine-tune works correctly: val ppl 349.9 — matching the documented 349.6 result. The r_kan=0.5 fix is confirmed stable for fine-tuning. [2026-03-10 05:45] xenonfun: Current state: - Committed: 14cd0c6 — KAN …
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