Pre-trained language models (LMs) have been shown to achieve outstanding performance in various natural language processing tasks; however. these models have a significantly large number of parameters to handle large-scale text corpora during the pre-training process. and thus. they entail the risk of overfitting when fine-tuning for small task-oriented datasets is conducted. https://www.roneverhart.com/Precis-Vodka/