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* add dialoGPT * update README.md * fix conflict * update readme * add code links to docs * Update README.md * Update dialo_gpt2.rst * Update pretrained_models.rst * Update docs/source/model_doc/dialo_gpt2.rst Co-Authored-By: Julien Chaumond <chaumond@gmail.com> * change filename of dialogpt Co-authored-by: Julien Chaumond <chaumond@gmail.com>
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30 lines
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DialoGPT
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----------------------------------------------------
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Overview
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~~~~~~~~~~~~~~~~~~~~~
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DialoGPT was proposed in
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`DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation <https://arxiv.org/abs/1911.00536>`_
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by Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan.
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It's a GPT2 Model trained on 147M conversation-like exchanges extracted from Reddit.
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The abstract from the paper is the following:
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*We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
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Trained on 147M conversation-like exchanges extracted from Reddit comment chains over a period spanning from 2005 through 2017, DialoGPT extends the Hugging Face PyTorch transformer to attain a performance close to human both in terms of automatic and human evaluation in single-turn dialogue settings.
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We show that conversational systems that leverage DialoGPT generate more relevant, contentful and context-consistent responses than strong baseline systems.
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The pre-trained model and training pipeline are publicly released to facilitate research into neural response generation and the development of more intelligent open-domain dialogue systems.*
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Tips:
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- DialoGPT is a model with absolute position embeddings so it's usually advised to pad the inputs on
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the right rather than the left.
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- DialoGPT was trained with a causal language modeling (CLM) objective on conversational data and is therefore powerful at response generation in open-domain dialogue systems.
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- DialoGPT enables the user to create a chat bot in just 10 lines of code as shown on `DialoGPT's model card <https://huggingface.co/microsoft/DialoGPT-medium>`_.
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DialoGPT's architecture is based on the GPT2 model, so one can refer to GPT2's `docstring <https://huggingface.co/transformers/model_doc/gpt2.html>`_.
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The original code can be found `here <https://github.com/microsoft/DialoGPT>`_.
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