Encoder only ProtT5 XL UniRef50, half precision model An encoder only, half precision version of the ProtT5 XL UniRef50 model. The original model and it's pretraining were introduced in this paper and first released in this repository. This model is trained on uppercase amino acids: it only works with capital letter amino acids. Model description ProtT5 XL UniRef50 is based on the t5 3b model and was pretrained on a large corpus of protein sequences in a self supervised fashion. This means it was pretrained on the raw protein sequences only, with no humans labelling them in any way (which is why it can use lots of publicly available data) with an automatic process to generate inputs and labels from those protein sequences. One important difference between this T5 model and the original T5 version is the denoising objective. The original T5 3B model was pretrained using a span denoising objective, while this model was pretrained with a Bart like MLM denoising objective. The masking probability is consistent with the original T5 training by randomly masking 15% of the amino acids in the input. This model only contains the encoder portion of the original ProtT5 XL UniRef50 model using…
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