Losses List
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Losses List has 4 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
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.
declaresDeclares(1)
- Learning Rate Finder
ex:learning-rate-finder
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 |
|---|---|---|
| Rdf:type | List | [1] |
| Rdf:type | Data Structure | [2] |
| Purpose | Stores Loss Values | [1] |
| Stores | Scalar Value | [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:claims/beam/589ac63e-194c-400f-a2f3-3b06bbc73235- full textbeam-chunktext/plain1 KB
doc:beam/589ac63e-194c-400f-a2f3-3b06bbc73235Show excerpt
def __len__(self): return len(self.queries) def __getitem__(self, idx): query = self.queries[idx] label = self.labels[idx] return {'query': query, 'label': label} # Define the model class DebugModel…
ctx: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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