Dontopedia

break training loop

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break training loop has 4 facts recorded in Dontopedia across 2 references.

4 facts·3 predicates·2 sources
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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canCauseCan Cause(1)

triggersTriggers(1)

Other facts (3)

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3 facts
PredicateValueRef
Rdf:typeAction[1]
Caused byPatience Check[1]
Caused byEarly Stopping[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.

typebeam/aa30ec0a-322c-4ccb-87f1-9529eeaae311
ex:Action
labelbeam/aa30ec0a-322c-4ccb-87f1-9529eeaae311
break training loop
caused-bybeam/aa30ec0a-322c-4ccb-87f1-9529eeaae311
ex:patience-check
causedBybeam/815302c1-8846-46c0-b5a2-8475c92165b2
ex:early-stopping

References (2)

2 references
  1. ctx:claims/beam/aa30ec0a-322c-4ccb-87f1-9529eeaae311
    • full textbeam-chunk
      text/plain1 KBdoc:beam/aa30ec0a-322c-4ccb-87f1-9529eeaae311
      Show excerpt
      # Early stopping if val_loss < best_val_loss: best_val_loss = val_loss counter = 0 else: counter += 1 if counter >= patience: print("Early stopping") break ``` #### 4. Ev
  2. ctx:claims/beam/815302c1-8846-46c0-b5a2-8475c92165b2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/815302c1-8846-46c0-b5a2-8475c92165b2
      Show excerpt
      optimizer.step() # Zero gradients optimizer.zero_grad() # Validation loop scorer.eval() val_losses = [] with torch.no_grad(): for batch_inputs, batch_targets in val_loader: outpu

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