metadata
license: mit
datasets:
- deutsche-telekom/ger-backtrans-paraphrase
- paws-x
- stsb_multi_mt
language:
- de
model-index:
- name: e5-base-sts-en-de
results:
- task:
type: semantic textual similarity
dataset:
type: stsb_multi_mt
name: stsb_multi_mt
metrics:
- type: spearmanr
value: 0.904
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