glue benchmark code - Axtarish в Google
The General Language Understanding Evaluation (GLUE) benchmark is a collection of resources for training, evaluating, and analyzing natural language ... GLUE Diagnostic Dataset · SuperGLUE · Leaderboard · Tasks
GLUE benchmark is a collection of nine natural language understanding tasks, including single-sentence tasks CoLA and SST-2, similarity and paraphrasing tasks ...
jiant supports generating submission files for GLUE. To generate test predictions, use the --write_test_preds flag in runscript.py when running your workflow.
The Glue collection offers a good and varied set of low level NLP capabilities which can be used in a variety of higher level solutions.
General Language Understanding Evaluation (GLUE) benchmark is a collection of nine natural language understanding tasks, including single-sentence tasks CoLA ...
The General Language Understanding Evaluation (GLUE) benchmark is a collection of resources for training, evaluating, and analyzing natural language ...
The GLUE benchmark comprises a collection of diverse tasks, each designed to scrutinize different aspects of language understanding. The tasks within GLUE ...
4 янв. 2023 г. · GLUE benchmark is commonly used to test a model's performance at text understanding. It consists of 10 tasks. Each task has a dataset split as train, ...
The General Language Understanding Evaluation (GLUE) benchmark is a collection of resources for training, evaluating, and analyzing natural language ...
Original code for the baselines is available at https://github.com/nyu-mll/GLUE-baselines and a newer version is available at https://github.com/jsalt18- ...
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