This model is a fine-tune of the excellent tasksource/ModernBERT-large-nli, trained on the dleemiller/FineCat-NLI dataset—a compilation of several high-quality NLI data sources with quality screening and reduction of easy samples in the training split. The training also incorporates logit distillation from MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli, a top-performing NLI model, particularly on ANLI benchmarks. \begin{equation} \mathcal{L} = \alpha \cdot \mathcal{L}{\text{CE}}(z^{(s)}, y) + \beta \cdot \mathcal{L}{\text{MSE}}(z^{(s)}, z^{(t)}) \end{equation} where \\(z^{(s)}\\) and \\(z^{(t)}\\) are the student and teacher logits, \\(y\\) are the ground truth labels, and…