Difference between revisions of "Eosc/pretraining"

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= BERT =
 
= BERT =
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== RoBERTa ==
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== ELECTRA ==

Revision as of 14:40, 31 August 2020

Background

This page provides an informal, technically-oriented survey over available (and commonly used) architectures and implementations for large-scale pre-training (and fine-tuning) of contextualized neural language models.

The NLPL use case, will install, validate, and maintain a selection of these implementations, in an automated and uniform manner, on multiple HPC systems.

ELMo

BERT

RoBERTa

ELECTRA