Local Optimizer
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Local Optimizer has 6 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), has learning rate(1), uses model parameters(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.
createsCreates(1)
- Worker Function
ex:worker-function
createsLocalInstanceCreates Local Instance(1)
- Worker Function
ex:worker-function
createsLocalOptimizerCreates Local Optimizer(1)
- Worker Function
ex:worker-function
trainsTrains(1)
- Process Training
ex:process-training
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 |
|---|---|---|
| Rdf:type | Adam | [1] |
| Rdf:type | Optimizer | [2] |
| Has Learning Rate | 0.001 | [1] |
| Uses Model Parameters | Local Model | [1] |
| Is Created by | Worker Function | [1] |
| Calls Method | Optimizer State Dict Method | [2] |
Timeline
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References (2)
ctx:claims/beam/1431835d-ed0f-4f5e-a055-310bf86b145f- full textbeam-chunktext/plain1 KB
doc:beam/1431835d-ed0f-4f5e-a055-310bf86b145fShow excerpt
def worker(data_loader): local_model = MyModel() local_optimizer = optim.Adam(local_model.parameters(), lr=0.001) update_model(local_model, local_optimizer, data_loader) return local_model.state_dict(), local_optimizer.state…
ctx:claims/beam/9151b445-41b5-4d53-900d-4199adc168c1- full textbeam-chunktext/plain1 KB
doc:beam/9151b445-41b5-4d53-900d-4199adc168c1Show excerpt
model = MyModel().to(device) optimizer = optim.Adam(model.parameters(), lr=0.001) # Define the update logic def update_model(model, optimizer, data_loader): model.train() for data, _ in data_loader: data = data.to(device) …
See also
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