Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Transformers
|
| gptkbp:application |
gptkb:translator
question answering text generation text summarization text classification |
| gptkbp:architecture |
gptkb:Transformers
|
| gptkbp:base_model |
gptkb:T5
|
| gptkbp:community_support |
high
|
| gptkbp:developed_by |
gptkb:Google_Research
|
| gptkbp:evaluates |
gptkb:GLUE
|
| gptkbp:fine_tuning_data |
task-specific data
|
| gptkbp:has_publications |
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
|
| https://www.w3.org/2000/01/rdf-schema#label |
T5-Base
|
| gptkbp:input_output |
gptkb:text
|
| gptkbp:is_a_framework_for |
gptkb:Tensor_Flow
gptkb:Py_Torch |
| gptkbp:is_open_source |
gptkb:true
|
| gptkbp:is_tasked_with |
natural language processing
|
| gptkbp:is_trained_in |
C4 dataset
|
| gptkbp:language |
English
|
| gptkbp:mission |
denoising autoencoder
|
| gptkbp:model_card |
available
|
| gptkbp:orbital_period |
220 million
|
| gptkbp:performance |
state-of-the-art
|
| gptkbp:provides_information_on |
text data
|
| gptkbp:release_year |
gptkb:2020
|
| gptkbp:successor |
gptkb:T5-Large
|
| gptkbp:tuning |
possible
|
| gptkbp:use_case |
data analysis
language translation data visualization dialog systems user interaction content creation sentiment analysis chatbots data augmentation fact-checking information retrieval semantic search text mining language modeling text comparison code generation personal assistants style transfer automated summarization knowledge extraction text enrichment question generation text simplification |
| gptkbp:uses |
text-to-text framework
|
| gptkbp:bfsParent |
gptkb:Noam_Shazeer
|
| gptkbp:bfsLayer |
6
|