Generation After Training
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Generation After Training has 12 facts recorded in Dontopedia across 3 references, with 3 live disagreements.
Mostly:has prompt(3), contains prompt(3), contains model output(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
containsSectionContains Section(1)
- Log Entry 2
ex:log-entry-2
includesGenerationSectionIncludes Generation Section(1)
- Training Log Iter 4300
ex:training-log-iter-4300
Other facts (11)
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 |
|---|---|---|
| Has Prompt | Prompt Once Upon a Time | [1] |
| Has Prompt | Prompt to Be or Not to Be | [1] |
| Has Prompt | Prompt Romeo | [1] |
| Contains Prompt | Prompt 1 | [3] |
| Contains Prompt | Prompt 2 | [3] |
| Contains Prompt | Prompt 3 | [3] |
| Contains Model Output | Output 1 | [3] |
| Contains Model Output | Output 2 | [3] |
| Contains Model Output | Output 3 | [3] |
| Presupposes Model Trained | Training Run Iter 4300 | [1] |
| Rdf:type | Process | [2] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (3)
ctx:discord/blah/random/part-28ctx:discord/blah/random/28- full textrandom-28text/plain2 KB
doc:agent/random-28/d1c103cf-de94-477e-9407-903eb1cdff93Show excerpt
[2026-02-17 19:43] xenonfun: stalled here: ``` Iter 4300 | Loss: 3.7543 | Val: 3.7114 (ppl 40.9) | LR: 0.000030 | Best val: 3.6677 | 877ms/iter | 1353s elapsed | ETA 6750s | Patience: 20/20 Early stopping: val loss hasn't improved for 20 …
ctx:discord/blah/safiersemantics/70- full textsafiersemantics-70text/plain3 KB
doc:agent/safiersemantics-70/dbacde78-f635-4864-93c8-c2425e32c560Show excerpt
[2026-02-19 20:25] xenonfun: model-ds being trained, asked it to optimize just on this training set what can be done without blowing out my 24GB limit and not exhausting the model from not enough data. (files: Screenshot_2026-02-19_at_3.23.…
See also
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