| language: en | |
| license: mit | |
| tags: | |
| - question-answering | |
| - pytorch | |
| - bert | |
| datasets: | |
| - rajpurkar/squad_v2 | |
| - Eladio/emrqa-msquad | |
| <!-- This README.md file is used to generate the README on https://huggingface.co/jon-t/tiny-clinicalbert-qa --> | |
| # tiny-clinicalbert-qa | |
| A lightweight, domain-adapted BERT model for clinical question answering, trained on a combination of [SQuAD v2](https://huggingface.co/datasets/rajpurkar/squad_v2) and [EMRQA-MSQuAD](https://huggingface.co/datasets/Eladio/emrqa-msquad) datasets. | |
| Source code for the training script is available [on GitHub](https://github.com/jon-edward/tiny-clinicalbert-qa). See [eval_results.json](https://huggingface.co/jon-t/tiny-clinicalbert-qa/blob/main/eval_results.json) for evaluation results, and [train_results.json](https://huggingface.co/jon-t/tiny-clinicalbert-qa/blob/main/train_results.json) for training results. | |