INFO : The model is being continuously updated. The model is a multilingual e5 base model fine tuned with the task of semantic textual similarity in mind. Model Training The model has been fine tuned on the German subsets of the following datasets: German paraphrase corpus by Philip May paws x stsb multi mt The training procedure can be divided into two stages: training on paraphrase datasets with the Multiple Negatives Ranking Loss training on semantic textual similarity datasets using the Cosine Similarity Loss Results The model achieves the following results: 0.920 on stsb's validation subset 0.904 on stsb's test subset
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