Constructing Target Output for Span-Based Denoising
A large language model is being trained with a span-based denoising objective. Given the corrupted input text The cat [X] on the [Y] mat. and the knowledge that [X] replaced the text 'sat quietly' and [Y] replaced the text 'warm', construct the complete and correctly formatted target output sequence the model should be trained to generate. Assume the sequence should start with <s> and end with [Z].
0
1
Tags
Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
A model is being trained on a denoising task where corrupted text spans are replaced by unique sentinel tokens. If the model receives the input
The [X] fox jumps over [Y] dog., what should the corresponding target output be to correctly associate[X]with 'quick brown' and[Y]with 'the lazy'?Constructing Target Output for Span-Based Denoising
A language model is being trained on a span-based denoising task where corrupted text spans are replaced by unique sentinel tokens. Match each corrupted input sentence on the left with its correctly formatted target output on the right.