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500K token dataset

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500K token dataset has 6 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

6 facts·4 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), has size(1), used for(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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appliesToApplies to(1)

ex:trainedOnEx:trained on(1)

Other facts (5)

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.

5 facts
PredicateValueRef
Rdf:typeTraining Dataset[1]
Rdf:typeDataset[2]
Has Size500000[1]
Used forLlama 2 13b Optimization[1]
Ex:token Count500000[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/7bca25dc-27a8-473f-971e-92bfee7f4310
ex:TrainingDataset
labelbeam/7bca25dc-27a8-473f-971e-92bfee7f4310
500K token dataset
hasSizebeam/7bca25dc-27a8-473f-971e-92bfee7f4310
500000
usedForbeam/7bca25dc-27a8-473f-971e-92bfee7f4310
ex:llama-2-13b-optimization
typebeam/ea9857ff-fed8-4ad3-ae3e-ed99814a6bde
ex:Dataset
tokenCountbeam/ea9857ff-fed8-4ad3-ae3e-ed99814a6bde
500000

References (2)

2 references
  1. ctx:claims/beam/7bca25dc-27a8-473f-971e-92bfee7f4310
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7bca25dc-27a8-473f-971e-92bfee7f4310
      Show excerpt
      [Turn 2497] Assistant: Optimizing the performance of Llama 2 13B on a 500K token dataset involves several steps, including data preprocessing, model fine-tuning, and efficient deployment. Self-hosting the model can indeed provide more contr
  2. ctx:claims/beam/ea9857ff-fed8-4ad3-ae3e-ed99814a6bde
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ea9857ff-fed8-4ad3-ae3e-ed99814a6bde
      Show excerpt
      - **Early Stopping**: Implement early stopping if validation performance stops improving. - **Cross-Validation**: Use cross-validation to ensure the model generalizes well to unseen data. By carefully tuning these hyperparameters, you can

See also

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