Dataset Iteration
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Dataset Iteration has 6 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:unpacks(2), yields(1), part of(1)
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.
containsContains(1)
- Epoch Loop
ex:epoch-loop
hasSubLoopHas Sub Loop(1)
- Training Loop
ex:training-loop
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 |
|---|---|---|
| Unpacks | X | [2] |
| Unpacks | Y | [2] |
| Yields | Input Label Pairs | [1] |
| Part of | Training Loop | [1] |
| Rdf:type | Data Iteration | [2] |
| Iterates Over | Dataset | [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/11a08133-821e-4ec4-b8c6-b06571f6e244- full textbeam-chunktext/plain1 KB
doc:beam/11a08133-821e-4ec4-b8c6-b06571f6e244Show excerpt
x = self.fc2(x) return x model = SecureTuningModel() criterion = nn.CrossEntropyLoss() optimizer = optim.SGD(model.parameters(), lr=0.01) for epoch in range(100): for x, y in dataset: x = x.view(-1, 512) …
ctx:claims/beam/ffb8ee8e-17cf-4b81-bea0-320e8177cbdf- full textbeam-chunktext/plain1 KB
doc:beam/ffb8ee8e-17cf-4b81-bea0-320e8177cbdfShow excerpt
Would you like to explore any specific aspect further, such as mixed precision training or gradient accumulation? [Turn 9464] User: I'm using PyTorch 2.1.8 for secure training, and I've noticed its 99.9% stability in 9,000 runs. However, I…
See also
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