cross encoder mmarco german distilbert base Model description: This model is a fine tuned cross encoder on the MMARCO dataset which is the machine translated version of the MS MARCO dataset. As base model for the fine tuning we use distilbert base multilingual cased Model input samples are tuples of the following format, either assigned to 1 or assigned to 0. The model was trained for 1 epoch. Model usage The cross encoder model can be used like this: The model will predict scores for the pairs ('Query 1', 'Paragraph 1') and ('Query 2', 'Paragraph 2') . For more details on the usage of the cross encoder models have a look into the Sentence Transformers Model Performance: Model evaluation was done on 2000 evaluation paragraphs of the dataset. Accuracy F1 Score Precision Recall 89.70 86.82 86.82 93.50
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