Training Task
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Training Task has 4 facts recorded in Dontopedia across 3 references.
Mostly:is next in sequence(1), objective(1), parameter count(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
involvesInvolves(1)
- System Process
ex:system-process
Other facts (4)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Is Next in Sequence | Current Experiments | [1] |
| Objective | Full Fine Tuning | [2] |
| Parameter Count | 1500000000 | [2] |
| Status | done | [3] |
Timeline
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References (3)
ctx:discord/blah/watt-activation/part-240ctx:discord/blah/watt-activation/12- full textwatt-activation-12text/plain3 KB
doc:agent/watt-activation-12/2b226561-3075-47ab-89b3-591d7663c93bShow excerpt
[2026-02-27 14:42] xenonfun: the codebase already computes SVD in model.py:effective_rank (files: Screenshot_2026-02-27_at_9.41.31_AM.png) [2026-02-27 15:41] xenonfun: (files: Screenshot_2026-02-27_at_10.41.22_AM.png) [2026-02-27 15:44] xe…
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…
See also
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