ELECTRA

GPTKB entity

Statements (64)

Predicate	Object
gptkbp:instance_of	gptkb:Model
gptkbp:bfsLayer	4
gptkbp:bfsParent	gptkb:T5-large gptkb:GLUE_benchmark gptkb:Transformer_Models gptkb:Hugging_Face gptkb:Super_GLUE_benchmark
gptkbp:architectural_style	gptkb:Transformers_character
gptkbp:based_on	gptkb:Transformers_character
gptkbp:developed_by	gptkb:Google_Research
gptkbp:has_achievements	higher efficiency lower training time
gptkbp:has_programs	language translation search engines content moderation chatbots information retrieval
gptkbp:has_variants	small, base, large
https://www.w3.org/2000/01/rdf-schema#label	ELECTRA
gptkbp:improves	fine-tuning tasks
gptkbp:influenced_by	GA Ns
gptkbp:introduced	gptkb:2020
gptkbp:is_available_in	gptkb:Hugging_Face_Transformers
gptkbp:is_compared_to	gptkb:GPT-2
gptkbp:is_evaluated_by	gptkb:GLUE_benchmark gptkb:MNLI WNLI RTE QQP STS-B Co LA S Qu AD
gptkbp:is_known_for	flexibility high accuracy robustness fast inference
gptkbp:is_optimized_for	computational efficiency training speed model size
gptkbp:is_part_of	gptkb:Model NLP research community
gptkbp:is_supported_by	research papers community contributions open-source code
gptkbp:is_tasked_with	natural language processing
gptkbp:is_used_by	gptkb:architect gptkb:physicist gptkb:software data scientists
gptkbp:is_used_for	question answering sentiment analysis text generation text classification named entity recognition
gptkbp:is_used_in	AI applications
gptkbp:mission	discriminative
gptkbp:performance	state-of-the-art
gptkbp:related_to	gptkb:BERT
gptkbp:supports	multiple languages
gptkbp:training	large text corpora
gptkbp:type	pre-trained language model
gptkbp:uses	masked language modeling generator-discriminator framework token embeddings