Google's T5 Pretraining Dataset: C4 Paper: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Authors: Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu
Abstract
Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP). The effectiveness of transfer learning has given rise to a diversity of approaches, methodology, and practice. In this paper, we explore the landscape of transfer learning techniques for NLP by introducing a unified framework that converts every language problem into a text-to-text format. Our systematic study compares pre-training objectives, architectures, unlabeled datasets, transfer approaches, and other factors on dozens of language understanding tasks. By combining the insights from our exploration with scale and our new “Colossal Clean Crawled Corpus”, we achieve state-of-the-art results on many benchmarks covering summarization, question answering, text classification, and more. To facilitate future work on transfer learning for NLP, we release our dataset, pre-trained models, and code.
Model series
This model is part of a series of models training on TPU with Flax Jax during Huggingface Flax/Jax challenge.
Gpt models
Swedish Gpt
https://huggingface.co/birgermoell/swedish-gpt/
Swedish gpt wiki
https://huggingface.co/flax-community/swe-gpt-wiki
Nordic gpt wiki
https://huggingface.co/flax-community/nordic-gpt-wiki
Dansk gpt wiki
https://huggingface.co/flax-community/dansk-gpt-wiki
Norsk gpt wiki
https://huggingface.co/flax-community/norsk-gpt-wiki
Roberta models
Nordic Roberta Wiki
https://huggingface.co/flax-community/nordic-roberta-wiki
Swe Roberta Wiki Oscar
https://huggingface.co/flax-community/swe-roberta-wiki-oscar
Roberta Swedish Scandi
https://huggingface.co/birgermoell/roberta-swedish-scandi
Roberta Swedish
https://huggingface.co/birgermoell/roberta-swedish