Fig. 6: Impact of the class-balanced term on training and accuracy.
From: Unveiling the power of language models in chemical research question answering
a Visualization of the proposed class-balanced term \((1-\beta )/(1-{\beta }^{{n}_{y}})\), where ny is the number of samples in the ground-truth class. b Accuracy rate when trained with and without the class-balanced term. The larger the β is, the larger the improvement is.
