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:

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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Datasets used to train danielheinz/e5-base-sts-en-de

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Evaluation results