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Benjamin Warner
@benjaminwarner.dev

One of the questions we debated while training ModernBERT was whether a modern trained encoder would unlock zero-shot reasoning using only it's generative head? Spoilers: the answer is yes.

Benjamin Warner
@benjaminwarner.dev

With @bclavie.bsky.social and @ncoop57.bsky.social, we tried to answer two questions: - Can an instruction-tuned ModernBERT zero-shot tasks using the MLM-head? - Could we then fine-tune instruction-tuned ModernBERT to complete any task? Detailed answers: arxiv.org/abs/2502.03793

arxiv.orgIt's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative ClassifiersWhile encoder-only models such as BERT and ModernBERT are ubiquitous in real-world NLP applications, their conventional reliance on task-specific classification heads can limit their applicability com...
Benjamin Warner
@benjaminwarner.dev

After instruction tuning on Flan, ModernBERT-Large-Instruct outperforms similarly sized LLMs on MMLU & MMLU-Pro, and achieves ~90 percent of Llama 3.2 1B's performance with ~65 percent fewer parameters.

Benjamin Warner
@benjaminwarner.dev

When we finetune ModernBERT-Large-Instruct on task specific datasets, the generative MLM head is better or nearly equal to standard classification heads.

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