mrm8488/bert-tiny-finetuned-squadv2

BERT-Tiny created by Google Research and fine-tuned on SQuAD 2.0 for Q&A downstream task . Model is a part of 24 smaller BERT models referenced in Well-Read Students Learn Better: On the Importance of Pre-training Compact Models . The model was trained on a Tesla P100 GPU and 25GB of RAM . The script for fine tuning can be found here: "Bert-tiny-finetuned-squadv2", "question-answering", "mrm8488", "hugginface/transformers" and "pipeline" are examples of the question-answerwerking pipeline used .,