BERT Pre training of Deep Bidirectional Transformers for Language Understanding

These excerpts from a paper about BERT primarily focus on fine-tuning the model and ablation studies investigating its performance. Figure 4 illustrates the process of adapting BERT for various tasks like sentiment analysis and textual entailment. Section C details experiments examining the impact of pre-training duration, showing improved accuracy with more training steps, and compares masked language modeling with left-to-right approaches. Furthermore, ablation studies analyze the effect of different masking strategies used during pre-training on fine-tuning performance, demonstrating the robustness of fine-tuning to these variations.