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Create Datasets

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Create Datasets has 3 facts recorded in Dontopedia across 1 reference.

3 facts·3 predicates·1 sources
Maturity scale raw canonical shape-checked rule-derived certified

Uses FrameworkusesFramework

  • PyTorch[1]sourceall time · B1c13f74 D586 4364 A78a 3777454bef7f

Descriptiondescription

  • Create PyTorch datasets for training and testing[1]sourceall time · B1c13f74 D586 4364 A78a 3777454bef7f

Rdf:typerdf:type

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performsOperationPerforms Operation(1)

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descriptionbeam/b1c13f74-d586-4364-a78a-3777454bef7f
Create PyTorch datasets for training and testing
typebeam/b1c13f74-d586-4364-a78a-3777454bef7f
ex:DataOperation
usesFrameworkbeam/b1c13f74-d586-4364-a78a-3777454bef7f
PyTorch

References (1)

1 references
  1. [1]beam-chunk3 facts
    customctx:claims/beam/b1c13f74-d586-4364-a78a-3777454bef7f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b1c13f74-d586-4364-a78a-3777454bef7f
      Show excerpt
      "distilbert-base-uncased" ] # Experiment with different models best_accuracy = 0 best_model = None for model_name in models_to_test: accuracy = train_and_evaluate_model(model_name, train_df, test_df) if accuracy > best_accuracy

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