Pre-training a BERT model on a analogous labor anterior to fine-tuning it with your Amazon information is an essential pace that can accomplish a cogent aberration to the achievement of your end model. For example, if you are aggravating to body a affection assay model, you would appetite to pre-train BERT on a affection assay assignment afore fine-tuning it with your Amazon data. This agency that you should ascertain addition analysis dataset, preferably one that is analogous to your Amazon data, and use it to pre-train the BERT model. Subsequently pre-training, you can again fine-tune the archetypal with your Amazon data. This will acquiesce the archetypal to bigger abduction the intricacies of the Amazon data, arch to bigger performance. Furthermore, pre-training on a agnate assignment can advice the archetypal apprentice the basal accent anatomy bigger, which can additionally aftereffect in bigger performance.
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