This model was created with the purpose to generate possible queries for a german input article.
For this model, we finetuned a multilingual T5 model
mt5-small on the
MMARCO dataset the machine translated version of the MS MARCO dataset.
The model was trained for 1 epoch, on 200,000 unique queries of the dataset. We trained the model on one K80 GPU for 25,000 iterations with following parameters:
Model evaluation was done on 2000 evaluation paragraphs of the dataset. Mean
f1 ROUGE scores were calculated for the model.
