readme: ---
  language: en
  tags:
  - exbert
  
  license: apache-2.0
  datasets:
  - openwebtext
  ---
  
  # DistilGPT2
  # test
  DistilGPT2 English language model pretrained with the supervision of [GPT2](https://huggingface.co/gpt2) (the smallest version of GPT2) on [OpenWebTextCorpus](https://skylion007.github.io/OpenWebTextCorpus/), a reproduction of OpenAI's WebText dataset. The model has 6 layers, 768 dimension and 12 heads, totalizing 82M parameters (compared to 124M parameters for GPT2). On average, DistilGPT2 is two times faster than GPT2.
  
  On the [WikiText-103](https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/) benchmark, GPT2 reaches a perplexity on the test set of 16.3 compared to 21.1 for DistilGPT2 (after fine-tuning on the train set).
  
  We encourage to check [GPT2](https://huggingface.co/gpt2) to know more about usage, limitations and potential biases.
  
  <a href="https://huggingface.co/exbert/?model=distilgpt2">
  	<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
  </a>
  