When Do Language Models Need Billion Words In Their Datasets

When Do Language Models Need Billion Words In Their Datasets

For the experiments, the researchers probed a set of 12 RoBERTa models pre-trained from scratch on 1M, 10M, 100M, and 1B words

Pre-trained language models like #BERT achieve strong performance on NLU tasks through pretraining on billions of words. But what exact knowledge, do these models learn from large scale pretraining that they cannot learn from less #data? https://zcu.io/6g4v

nlp machine-learning coding deep-learning artificial-intelligence tech

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