Loss Decrease
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Loss Decrease has 6 facts recorded in Dontopedia across 5 references.
Mostly:evidences progress(1), should accelerate further(1), shows(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
showsImprovementShows Improvement(2)
- Smoketests
ex:smoketests - Training Run
ex:training-run
infersImprovementFromInfers Improvement From(1)
- Black Box Training View
ex:black-box-training-view
lacksAwarenessOfLacks Awareness of(1)
- Lohe Optimizer
ex:lohe-optimizer
requiresRequires(1)
- Training Progress Condition
ex:training-progress-condition
Other facts (6)
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 |
|---|---|---|
| Evidences Progress | true | [1] |
| Should Accelerate Further | null | [2] |
| Shows | Real Learning | [3] |
| Causes Inference of | Model Improvement | [4] |
| Rdf:type | Phenomenon | [5] |
| Indicates | suitable learning rate range | [5] |
Timeline
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References (5)
ctx:discord/blah/training-and-evals/part-29ctx:discord/blah/watt-activation/part-13ctx:discord/blah/watt-activation/part-190ctx:discord/blah/watt-activation/part-304ctx:claims/beam/1a5ace86-2e85-4211-8107-4b55eb4bf8dd- full textbeam-chunktext/plain1 KB
doc:beam/1a5ace86-2e85-4211-8107-4b55eb4bf8ddShow excerpt
loss.backward() optimizer.step() learning_rates.append(lr) losses.append(loss.item()) break # Only one batch per learning rate plt.plot(learning_rates, losses) plt.xscale('log') plt.xlabel('Learnin…
See also
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