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gpt2-fp32-ov-kv-cache

This model is a fine-tuned version of gpt2 on the wikitext wikitext-2-raw-v1 dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3894
  • Accuracy: 0.3845

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: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1

Training results

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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Dataset used to train vuiseng9/ov-gpt2-fp32-kv-cache

Evaluation results