| ProphetNet | |
| Overview | |
| The ProphetNet model was proposed in ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training, by Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei | |
| Zhang, Ming Zhou on 13 Jan, 2020. | |
| ProphetNet is an encoder-decoder model and can predict n-future tokens for "ngram" language modeling instead of just | |
| the next token. | |
| The abstract from the paper is the following: | |
| In this paper, we present a new sequence-to-sequence pretraining model called ProphetNet, which introduces a novel | |
| self-supervised objective named future n-gram prediction and the proposed n-stream self-attention mechanism. Instead of | |
| the optimization of one-step ahead prediction in traditional sequence-to-sequence model, the ProphetNet is optimized by | |
| n-step ahead prediction which predicts the next n tokens simultaneously based on previous context tokens at each time | |
| step. The future n-gram prediction explicitly encourages the model to plan for the future tokens and prevent | |
| overfitting on strong local correlations. We pre-train ProphetNet using a base scale dataset (16GB) and a large scale | |
| dataset (160GB) respectively. Then we conduct experiments on CNN/DailyMail, Gigaword, and SQuAD 1.1 benchmarks for | |
| abstractive summarization and question generation tasks. Experimental results show that ProphetNet achieves new | |
| state-of-the-art results on all these datasets compared to the models using the same scale pretraining corpus. | |
| The Authors' code can be found here. | |
| Usage tips | |
| ProphetNet is a model with absolute position embeddings so it's usually advised to pad the inputs on the right rather than | |
| the left. | |
| The model architecture is based on the original Transformer, but replaces the “standard” self-attention mechanism in the decoder by a a main self-attention mechanism and a self and n-stream (predict) self-attention mechanism. | |
| Resources | |
| Causal language modeling task guide | |
| Translation task guide | |
| Summarization task guide | |
| ProphetNetConfig | |
| [[autodoc]] ProphetNetConfig | |
| ProphetNetTokenizer | |
| [[autodoc]] ProphetNetTokenizer | |
| ProphetNet specific outputs | |
| [[autodoc]] models.prophetnet.modeling_prophetnet.ProphetNetSeq2SeqLMOutput | |
| [[autodoc]] models.prophetnet.modeling_prophetnet.ProphetNetSeq2SeqModelOutput | |
| [[autodoc]] models.prophetnet.modeling_prophetnet.ProphetNetDecoderModelOutput | |
| [[autodoc]] models.prophetnet.modeling_prophetnet.ProphetNetDecoderLMOutput | |
| ProphetNetModel | |
| [[autodoc]] ProphetNetModel | |
| - forward | |
| ProphetNetEncoder | |
| [[autodoc]] ProphetNetEncoder | |
| - forward | |
| ProphetNetDecoder | |
| [[autodoc]] ProphetNetDecoder | |
| - forward | |
| ProphetNetForConditionalGeneration | |
| [[autodoc]] ProphetNetForConditionalGeneration | |
| - forward | |
| ProphetNetForCausalLM | |
| [[autodoc]] ProphetNetForCausalLM | |
| - forward |