Training Step 1760
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Training Step 1760 has 15 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:has learning rate(2), precedes(2), has secondary metric(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
precedesPrecedes(2)
- Step 1750
ex:step-1750 - Training Step 1750
ex:training-step-1750
hasTrainingStepHas Training Step(1)
- Doremi
ex:doremi
Other facts (15)
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 Learning Rate | 0.34 | [1] |
| Has Learning Rate | 0.9506 | [2] |
| Precedes | Training Step 1770 | [1] |
| Precedes | Training Step 1770 | [2] |
| Has Secondary Metric | 0.9506 | [1] |
| Has Ema Loss | 1.371 | [1] |
| Has Elapsed Time | 85m50s | [1] |
| Has Tokens Processed | 13997 | [1] |
| Rdf:type | Training Step | [2] |
| Has Step Number | 1760 | [2] |
| Part of Run | Doremi | [2] |
| Has Loss | 1.371 | [2] |
| Has Tokens Per Second | 13997 | [2] |
| Has Gpu Memory Usage | 0.34 | [2] |
| Has Wall Time | 85m50s | [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 (2)
ctx:discord/blah/watt-activation/part-711ctx:discord/blah/watt-activation/708- full textwatt-activation-708text/plain1 KB
doc:agent/watt-activation-708/43ecf53f-d65d-4ffb-8caf-9d1e36a76aeaShow excerpt
[2026-05-02 01:01] xenonfun: ``` [doremi] step=1750 sampling weights after exposure governor ↑ general_knowledge w=0.162 raw=0.094 ema_loss=1.087 ↑ reference_web w=0.158 raw=0.091 ema_loss=1.059 ↑ …
See also
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