transformers/docs/source/en/model_doc/xlm-prophetnet.md

XLM-ProphetNet

DISCLAIMER: If you see something strange, file a Github Issue and assign @patrickvonplaten

Overview

The XLM-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.

XLM-ProphetNet is an encoder-decoder model and can predict n-future tokens for "ngram" language modeling instead of just the next token. Its architecture is identical to ProhpetNet, but the model was trained on the multi-lingual "wiki100" Wikipedia dump.

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.

Tips:

• XLM-ProphetNet's model architecture and pretraining objective is same as ProphetNet, but XLM-ProphetNet was pre-trained on the cross-lingual dataset XGLUE.

Documentation resources

• Causal language modeling task guide
• Translation task guide
• Summarization task guide

XLMProphetNetConfig

autodoc XLMProphetNetConfig

XLMProphetNetTokenizer

autodoc XLMProphetNetTokenizer

XLMProphetNetModel

autodoc XLMProphetNetModel

XLMProphetNetEncoder

autodoc XLMProphetNetEncoder

XLMProphetNetDecoder

autodoc XLMProphetNetDecoder

XLMProphetNetForConditionalGeneration

autodoc XLMProphetNetForConditionalGeneration

XLMProphetNetForCausalLM

autodoc XLMProphetNetForCausalLM