Fine-tuning BERT for MultiNLI 3-way inference

BERT fine-tuning for Natural Language Inference: classifying statement pairs as entailment, contradiction, or neutral. Using a model trained on MultiNLI, I’ll present the training architecture diagram (pipeline components and Python class hierarchy), run live unit tests, and demonstrate real-time inference on example statements.