--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: DaMedSumT5-large results: [] --- ``` _____ ______ __ __ ______ _____ ______ __ __ __ __ /\ __-. /\ __ \ /\ "-./ \ /\ ___\ /\ __-. /\ ___\ /\ \/\ \ /\ "-./ \ \ \ \/\ \ \ \ __ \ \ \ \-./\ \ \ \ __\ \ \ \/\ \ \ \___ \ \ \ \_\ \ \ \ \-./\ \ \ \____- \ \_\ \_\ \ \_\ \ \_\ \ \_____\ \ \____- \/\_____\ \ \_____\ \ \_\ \ \_\ \/____/ \/_/\/_/ \/_/ \/_/ \/_____/ \/____/ \/_____/ \/_____/ \/_/ \/_/ ``` ## Model description This repository contains a model for Danish abstractive summarisation of medicaltext. This model is a fine-tuned version of mt5-large on a danish medical dataset. ## Authors Nicolaj Larsen, Mikkel Kildeberg & Emil Schledermann ### Framework versions - Transformers 4.30.2 - Pytorch 1.12.1+git7548e2f - Datasets 2.13.2 - Tokenizers 0.13.3