On a roughly 11-million-token Sepedi corpus, standard autoregressive pre-training gives lower validation loss and perplexity, while occlusion-based pre-training gives a slightly higher BLEU score on generated text.
In: Interspeech 2019
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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset
On a roughly 11-million-token Sepedi corpus, standard autoregressive pre-training gives lower validation loss and perplexity, while occlusion-based pre-training gives a slightly higher BLEU score on generated text.