What is glue NLP?

What is glue NLP?

GLUE. The General Language Understanding Evaluation benchmark (GLUE) is a tool for evaluating and analyzing the performance of models across a diverse range of existing natural language understanding tasks. Models are evaluated based on their average accuracy across all tasks.

What is glue task?

The General Language Understanding Evaluation benchmark (GLUE) is a collection of datasets used for training, evaluating, and analyzing NLP models relative to one another, with the goal of driving “research in the development of general and robust natural language understanding systems.” The collection consists of nine ...

What is glue benchmark?

The General Language Understanding Evaluation (GLUE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems. ... A public leaderboard for tracking performance on the benchmark and a dashboard for visualizing the performance of models on the diagnostic set.

What is MNLI?

MNLI The Multi-Genre Natural Language Inference Corpus (Williams et al., 2018) is a crowd- sourced collection of sentence pairs with textual entailment annotations. ... The premise sentences are gathered from ten different sources, including transcribed speech, fiction, and government reports.

How is Bert trained?

Training the language model in BERT is done by predicting 15% of the tokens in the input, that were randomly picked. These tokens are pre-processed as follows — 80% are replaced with a “[MASK]” token, 10% with a random word, and 10% use the original word.