Training
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Training has 12 facts recorded in Dontopedia across 5 references, with 2 live disagreements.
Mostly:uses(2), rdf:type(2), dropped but not much(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
includesIncludes(1)
- Output Formatting
ex:output-formatting
isHealthyIs Healthy(1)
- R 0 25
ex:r-0-25
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 |
|---|---|---|
| Uses | Softmax Ce | [2] |
| Uses | Cache Snapshot Evaluation | [2] |
| Rdf:type | Metric | [3] |
| Rdf:type | Measurable Element | [5] |
| Dropped But Not Much | Loss or Bpb | [1] |
| Is Honest | True | [2] |
| Is Real | True | [2] |
| Has Duration | 111 seconds | [3] |
| Involves Process | 200K FD steps | [3] |
| Has State | Brief Lull | [4] |
| State Is Normal | true | [4] |
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 (5)
ctx:discord/blah/watt-activation/part-398ctx:discord/blah/watt-activation/part-496ctx:discord/blah/watt-activation/509- full textwatt-activation-509text/plain3 KB
doc:agent/watt-activation-509/ac112e0d-7c5e-462b-98e5-9734c2773399Show excerpt
[2026-03-22 20:48] xenonfun: ⏺ CHON RUL results: ``` ┌─────────────┬───────────────────┬───────────────────────────────────┐ │ Metric │ Value │ Notes │ ├─────────────┼───────────────────┼──…
ctx:discord/blah/watt-activation/686- full textwatt-activation-686text/plain3 KB
doc:agent/watt-activation-686/87dc1f6d-de3b-4f99-bdf2-bfce9ede6dd6Show excerpt
[2026-04-24 00:49] xenonfun: have cliffordnet workong on the medical images, does that at 60% but only 9K parms, but CNNs are in the 80s. its really not good at simple stuff does suggest hybrid of our manifoldunit which is great at simple b…
ctx:claims/beam/ce2dbaa1-ba4c-45e7-bd39-66f749835f86- full textbeam-chunktext/plain1 KB
doc:beam/ce2dbaa1-ba4c-45e7-bd39-66f749835f86Show excerpt
- Ensure that both `inputs` and `labels` are moved to the correct device. 4. **Logging**: - Use structured logging to track the training process and identify issues. - Log the epoch, batch size, and loss for each iteration. 5. **…
See also
Keep researching
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