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Capybara

This model is training from scratch on the Self-GRIT/wikitext-2-raw-v1-preprocessed dataset. It achieves the following results on the evaluation set:

  • Loss: 5.9824
  • Accuracy: 0.2140

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.1.2+cu118
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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Dataset used to train yue619/Capybara

Evaluation results

  • Accuracy on Self-GRIT/wikitext-2-raw-v1-preprocessed
    self-reported
    0.214