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--- |
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language: en |
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tags: |
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- exbert |
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license: apache-2.0 |
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datasets: |
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- openwebtext |
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--- |
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# DistilGPT2 |
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# test |
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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. |
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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). |
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We encourage to check [GPT2](https://huggingface.co/gpt2) to know more about usage, limitations and potential biases. |
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<a href="https://huggingface.co/exbert/?model=distilgpt2"> |
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<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> |
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</a> |
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