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gpt_84

This model is a fine-tuned version of gokulsrinivasagan/gpt_72 on the gokuls/wiki_book_corpus_complete_raw_dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 3.1479
  • Accuracy: 0.3771

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: 1e-05
  • train_batch_size: 48
  • eval_batch_size: 48
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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Dataset used to train gokulsrinivasagan/gpt_84

Evaluation results

  • Accuracy on gokuls/wiki_book_corpus_complete_raw_dataset
    self-reported
    0.377