tiny-clinicalbert-qa

A lightweight, domain-adapted BERT model for clinical question answering, trained on a combination of SQuAD v2 and EMRQA-MSQuAD datasets.

Source code for the training script is available on GitHub. See eval_results.json for evaluation results, and train_results.json for training results.

Downloads last month
44
Safetensors
Model size
13.8M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Datasets used to train jon-t/tiny-clinicalbert-qa