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This model is a fine-tuned version of gpt2_tiny_random on the wikitext wikitext-103-v1 dataset. It achieves the following results on the evaluation set:

  • Loss: 5.3359
  • Accuracy: 0.2133

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 50000

Training results

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.1
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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Dataset used to train taufeeque/tiny-gpt2

Evaluation results