The Text-to-Text Transfer Transformer or T5 is a type of Transformer that is capable of being trained on a variety of tasks with a uniform architecture. It was created by Google AI and was published about in the paper “Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer“. Here, we’ll take a look at T5 architecture, pretraining, finetuning — including variations and the conclusions that can be derived from them. It effectively summarizes the above linked paper.
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